{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import matplotlib.pyplot as plt\n",
    "import pydicom as dcm\n",
    "import os\n",
    "\n",
    "os.chdir(r'C:\\Users\\sriva\\Desktop\\Pneumonia_Detection')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(30227, 2)\n"
     ]
    },
    {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patientId</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00313ee0-9eaa-42f4-b0ab-c148ed3241cd</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00322d4d-1c29-4943-afc9-b6754be640eb</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>003d8fa0-6bf1-40ed-b54c-ac657f8495c5</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              patientId                         class\n",
       "0  0004cfab-14fd-4e49-80ba-63a80b6bddd6  No Lung Opacity / Not Normal\n",
       "1  00313ee0-9eaa-42f4-b0ab-c148ed3241cd  No Lung Opacity / Not Normal\n",
       "2  00322d4d-1c29-4943-afc9-b6754be640eb  No Lung Opacity / Not Normal\n",
       "3  003d8fa0-6bf1-40ed-b54c-ac657f8495c5                        Normal\n",
       "4  00436515-870c-4b36-a041-de91049b9ab4                  Lung Opacity"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_info_data = pd.read_csv('stage_2_detailed_class_info.csv')\n",
    "print(class_info_data.shape)\n",
    "class_info_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(30227, 6)\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patientId</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00313ee0-9eaa-42f4-b0ab-c148ed3241cd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00322d4d-1c29-4943-afc9-b6754be640eb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>003d8fa0-6bf1-40ed-b54c-ac657f8495c5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              patientId      x      y  width  height  Target\n",
       "0  0004cfab-14fd-4e49-80ba-63a80b6bddd6    NaN    NaN    NaN     NaN       0\n",
       "1  00313ee0-9eaa-42f4-b0ab-c148ed3241cd    NaN    NaN    NaN     NaN       0\n",
       "2  00322d4d-1c29-4943-afc9-b6754be640eb    NaN    NaN    NaN     NaN       0\n",
       "3  003d8fa0-6bf1-40ed-b54c-ac657f8495c5    NaN    NaN    NaN     NaN       0\n",
       "4  00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_labels_data = pd.read_csv('stage_2_train_labels.csv')\n",
    "print(train_labels_data.shape)\n",
    "train_labels_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def findMissingData(df):\n",
    "    total_missing_data = df.isna().sum().sort_values(ascending=False)\n",
    "    percent_missing_data = (df.isna().sum()/df.isna().count()*100).sort_values(ascending=False)\n",
    "    target_df = pd.concat([total_missing_data, percent_missing_data], axis=1, keys=['Total', 'Percentage'])\n",
    "    target_df = np.transpose(target_df)\n",
    "    return target_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>patientId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percentage</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            class  patientId\n",
       "Total         0.0        0.0\n",
       "Percentage    0.0        0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "findMissingData(class_info_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>height</th>\n",
       "      <th>width</th>\n",
       "      <th>y</th>\n",
       "      <th>x</th>\n",
       "      <th>Target</th>\n",
       "      <th>patientId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total</th>\n",
       "      <td>20672.000000</td>\n",
       "      <td>20672.000000</td>\n",
       "      <td>20672.000000</td>\n",
       "      <td>20672.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percentage</th>\n",
       "      <td>68.389188</td>\n",
       "      <td>68.389188</td>\n",
       "      <td>68.389188</td>\n",
       "      <td>68.389188</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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      ],
      "text/plain": [
       "                  height         width             y             x  Target  \\\n",
       "Total       20672.000000  20672.000000  20672.000000  20672.000000     0.0   \n",
       "Percentage     68.389188     68.389188     68.389188     68.389188     0.0   \n",
       "\n",
       "            patientId  \n",
       "Total             0.0  \n",
       "Percentage        0.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "findMissingData(train_labels_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class</th>\n",
       "      <th>Count</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>11821</td>\n",
       "      <td>39.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>9555</td>\n",
       "      <td>31.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Normal</td>\n",
       "      <td>8851</td>\n",
       "      <td>29.28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Class  Count  Percentage\n",
       "0  No Lung Opacity / Not Normal  11821       39.11\n",
       "1                  Lung Opacity   9555       31.61\n",
       "2                        Normal   8851       29.28"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distribution_data = pd.DataFrame(class_info_data['class'].value_counts()).reset_index()\n",
    "distribution_data.columns = ['Class', 'Count']\n",
    "distribution_data['Percentage'] = [round(distribution_data.loc[i, 'Count']/distribution_data['Count'].sum()*100, 2) for i in distribution_data.index]\n",
    "distribution_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30227"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distribution_data['Count'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Distribution of various classes of observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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if(\"le\"===r)for(a=0,i=0;a<t.length;a+=3)o=t[a]|t[a+1]<<8|t[a+2]<<16,this.words[i]|=o<<s&67108863,this.words[i+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,i++);return this.strip()},i.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;var n,a,i=0;for(r=t.length-6,n=0;r>=e;r-=6)a=s(t,r,r+6),this.words[n]|=a<<i&67108863,this.words[n+1]|=a>>>26-i&4194303,(i+=24)>=26&&(i-=26,n++);r+6!==e&&(a=s(t,e,r+6),this.words[n]|=a<<i&67108863,this.words[n+1]|=a>>>26-i&4194303),this.strip()},i.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,a=1;a<=67108863;a*=e)n++;n--,a=a/e|0;for(var i=t.length-r,o=i%n,s=Math.min(i,i-o)+r,c=0,u=r;u<s;u+=n)c=l(t,u,u+n,e),this.imuln(a),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==o){var h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.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 f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},i.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toBuffer=function(t,e){return n(\"undefined\"!=typeof o),this.toArrayLike(o,t,e)},i.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},i.prototype.toArrayLike=function(t,e,r){var a=this.byteLength(),i=r||Math.max(1,a);n(a<=i,\"byte array longer than desired length\"),n(i>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(i),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<i;s++)c[s]=0}else{for(s=0;s<i-a;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[i-s-1]=o}return c},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.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},i.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},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.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},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.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()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.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()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.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()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.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 a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.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 a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.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)},i.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,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&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()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(c+(n=Math.imul(h,V))|0)+((8191&(a=(a=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((i=Math.imul(f,U))+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(g,V)|0,i=Math.imul(g,U);var mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.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,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},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),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.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,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,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!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.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 a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.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)},i.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},i.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()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,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 i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.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),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.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 a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.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 a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >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(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.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 a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.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 a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.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},i.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],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.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)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._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){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(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 i(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):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)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,m),a(b,m),a(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),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),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:105}],97:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],98:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return n=[],c(a=t,a,u,!0),n;case 2:return\"function\"==typeof e?c(t,t,e,!0):function(t,e){return n=[],c(t,e,u,!1),n}(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}var a};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var a=0,i=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[a++]=c[u];n[i++]=o}}return i}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var h,f=a.mallocDouble(2*u*s),p=a.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)i.init(s),h=i.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=a.mallocDouble(2*u*c),g=a.mallocInt32(c);(c=l(e,u,d,g))>0&&(i.init(s+c),h=1===u?i.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),a.free(d),a.free(g))}a.free(f),a.free(p)}return h}}}function u(t,e){n.push([t,e])}},{\"./lib/intersect\":100,\"./lib/sweep\":104,\"typedarray-pool\":544}],99:[function(t,e,r){\"use strict\";var n=\"d\",a=\"ax\",i=\"vv\",o=\"fp\",s=\"es\",l=\"rs\",c=\"re\",u=\"rb\",h=\"ri\",f=\"rp\",p=\"bs\",d=\"be\",g=\"bb\",v=\"bi\",m=\"bp\",y=\"rv\",x=\"Q\",b=[n,a,i,l,c,u,h,p,d,g,v];function _(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],_=b.slice();t||_.splice(3,0,o);var w=[\"function \"+e+\"(\"+_.join()+\"){\"];function k(e,o){var _=function(t,e,r){var o=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),_=[\"function \",o,\"(\",b.join(),\"){\",\"var \",s,\"=2*\",n,\";\"],w=\"for(var i=\"+l+\",\"+f+\"=\"+s+\"*\"+l+\";i<\"+c+\";++i,\"+f+\"+=\"+s+\"){var x0=\"+u+\"[\"+a+\"+\"+f+\"],x1=\"+u+\"[\"+a+\"+\"+f+\"+\"+n+\"],xi=\"+h+\"[i];\",k=\"for(var j=\"+p+\",\"+m+\"=\"+s+\"*\"+p+\";j<\"+d+\";++j,\"+m+\"+=\"+s+\"){var y0=\"+g+\"[\"+a+\"+\"+m+\"],\"+(r?\"y1=\"+g+\"[\"+a+\"+\"+m+\"+\"+n+\"],\":\"\")+\"yi=\"+v+\"[j];\";return 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strict\";e.exports=function(t,e,r,i,u,S,E,L,C){!function(t,e){var r=8*a.log2(e+1)*(t+1)|0,i=a.nextPow2(b*r);w.length<i&&(n.free(w),w=n.mallocInt32(i));var o=a.nextPow2(_*r);k<o&&(n.free(k),k=n.mallocDouble(o))}(t,i+E);var P,O=0,z=2*t;T(O++,0,0,i,0,E,r?16:0,-1/0,1/0),r||T(O++,0,0,E,0,i,1,-1/0,1/0);for(;O>0;){var I=(O-=1)*b,D=w[I],R=w[I+1],F=w[I+2],B=w[I+3],N=w[I+4],j=w[I+5],V=O*_,U=k[V],q=k[V+1],H=1&j,G=!!(16&j),Y=u,W=S,X=L,Z=C;if(H&&(Y=L,W=C,X=u,Z=S),!(2&j&&(F=v(t,D,R,F,Y,W,q),R>=F)||4&j&&(R=m(t,D,R,F,Y,W,U))>=F)){var J=F-R,K=N-B;if(G){if(t*J*(J+K)<p){if(void 0!==(P=l.scanComplete(t,D,e,R,F,Y,W,B,N,X,Z)))return P;continue}}else{if(t*Math.min(J,K)<h){if(void 0!==(P=o(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}if(t*J*K<f){if(void 0!==(P=l.scanBipartite(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}}var Q=d(t,D,R,F,Y,W,U,q);if(R<Q)if(t*(Q-R)<h){if(void 0!==(P=s(t,D+1,e,R,Q,Y,W,B,N,X,Z)))return P}else if(D===t-2){if(void 0!==(P=H?l.sweepBipartite(t,e,B,N,X,Z,R,Q,Y,W):l.sweepBipartite(t,e,R,Q,Y,W,B,N,X,Z)))return P}else T(O++,D+1,R,Q,B,N,H,-1/0,1/0),T(O++,D+1,B,N,R,Q,1^H,-1/0,1/0);if(Q<F){var $=c(t,D,B,N,X,Z),tt=X[z*$+D],et=g(t,D,$,N,X,Z,tt);if(et<N&&T(O++,D,Q,F,et,N,(4|H)+(G?16:0),tt,q),B<$&&T(O++,D,Q,F,B,$,(2|H)+(G?16:0),U,tt),$+1===et){if(void 0!==(P=G?A(t,D,e,Q,F,Y,W,$,X,Z[$]):M(t,D,e,H,Q,F,Y,W,$,X,Z[$])))return P}else if($<et){var rt;if(G){if(rt=y(t,D,Q,F,Y,W,tt),Q<rt){var nt=g(t,D,Q,rt,Y,W,tt);if(D===t-2){if(Q<nt&&void 0!==(P=l.sweepComplete(t,e,Q,nt,Y,W,$,et,X,Z)))return P;if(nt<rt&&void 0!==(P=l.sweepBipartite(t,e,nt,rt,Y,W,$,et,X,Z)))return P}else Q<nt&&T(O++,D+1,Q,nt,$,et,16,-1/0,1/0),nt<rt&&(T(O++,D+1,nt,rt,$,et,0,-1/0,1/0),T(O++,D+1,$,et,nt,rt,1,-1/0,1/0))}}else rt=H?x(t,D,Q,F,Y,W,tt):y(t,D,Q,F,Y,W,tt),Q<rt&&(D===t-2?P=H?l.sweepBipartite(t,e,$,et,X,Z,Q,rt,Y,W):l.sweepBipartite(t,e,Q,rt,Y,W,$,et,X,Z):(T(O++,D+1,Q,rt,$,et,H,-1/0,1/0),T(O++,D+1,$,et,Q,rt,1^H,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var y=e+1;y<t;++y){v=i[d+y],m=i[d+y+t];var x=l[h+y],b=l[h+y+t];if(m<x||b<v)continue t}var _=r(g,c);if(void 0!==_)return _}}}}},{\"./brute\":99,\"./median\":101,\"./partition\":102,\"./sweep\":104,\"bit-twiddle\":94,\"typedarray-pool\":544}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,o,s,l){if(o<=r+1)return r;var c=r,u=o,h=o+r>>>1,f=2*t,p=h,d=s[f*h+e];for(;c<u;){if(u-c<a){i(t,e,c,u,s,l),d=s[f*h+e];break}var g=u-c,v=Math.random()*g+c|0,m=s[f*v+e],y=Math.random()*g+c|0,x=s[f*y+e],b=Math.random()*g+c|0,_=s[f*b+e];m<=x?_>=x?(p=y,d=x):m>=_?(p=v,d=m):(p=b,d=_):x>=_?(p=y,d=x):_>=m?(p=v,d=m):(p=b,d=_);for(var w=f*(u-1),k=f*p,T=0;T<f;++T,++w,++k){var M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];l[u-1]=l[p],l[p]=A,p=n(t,e,c,u-1,s,l,d);for(var w=f*(u-1),k=f*p,T=0;T<f;++T,++w,++k){var M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];if(l[u-1]=l[p],l[p]=A,h<p){for(u=p-1;c<u&&s[f*(u-1)+e]===d;)u-=1;u+=1}else{if(!(p<h))break;for(c=p+1;c<u&&s[f*c+e]===d;)c+=1}}return n(t,e,r,h,s,l,s[f*h+e])};var n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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c=(i=r.left=o(i)).right=o(i.right),r.left=c.right,i.right=c.left,c.right=r,c.left=i,c._color=r._color,r._color=a,i._color=a,e._color=a,l(r),l(i),l(c),u>1&&((h=t[u-2]).right===r?h.right=c:h.left=c),void(t[u-1]=c);if(i._color===a){if(r._color===n)return r._color=a,void(r.left=s(n,i));r.left=s(n,i);continue}var h;i=o(i),r.left=i.right,i.right=r,i._color=r._color,r._color=n,l(r),l(i),u>1&&((h=t[u-2]).right===r?h.right=i:h.left=i),t[u-1]=i,t[u]=r,u+1<t.length?t[u+1]=e:t.push(e),u+=2}}}(e),g.left===r?g.left=null:g.right=null,new c(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[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:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":509,\"split-polygon\":526}],239:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(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,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(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:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":240,_process:484,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":549}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.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 a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":526}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:452,\"ndarray-ops\":446,\"typedarray-pool\":544}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={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]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,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),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452}],247:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:411}],248:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i: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 f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);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,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,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),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(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,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(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,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":403,\"sprintf-js\":527}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.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,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":418,\"typedarray-pool\":544}],255:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:411}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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\\nlowp vec4 encode_float_1540259130(highp float v) {\\n  highp 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  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp 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  highp 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, encode_float_1540259130(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:411}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(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),c=a(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}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=i(e,f);d.wrap=e.REPEAT;var g=new v(e,r,o,s,c,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=t(\"glsl-read-float\"),s=t(\"binary-search-bounds\"),l=t(\"ndarray\"),c=t(\"./lib/shaders\"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function d(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 v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,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=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:d(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:d(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var a=[],i=[],o=[],c=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var d=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e<f.length;++e){var m,y,x,b=f[e-1],_=f[e];for(i.push(c),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&a.length>0){for(var w=0;w<24;++w)a.push(a[a.length-12]);u+=2,v=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(d[0])?(m=d.length>e-1?d[e-1]:d.length>0?d[d.length-1]:[0,0,0,1],y=d.length>e?d[e]:d.length>0?d[d.length-1]:[0,0,0,1]):m=y=d,3===m.length&&(m=[m[0],m[1],m[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&m[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var k=c;if(c+=p(b,_),v){for(r=0;r<2;++r)a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3]);u+=2,v=!1}a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3],b[0],b[1],b[2],_[0],_[1],_[2],k,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],c,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],c,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(a),i.push(c),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=i,\"dashes\"in t){var T=t.dashes.slice();for(T.unshift(0),e=1;e<T.length;++e)T[e]=T[e-1]+T[e];var M=l(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&s.le(T,T[T.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],a=this.points[Math.min(r+1,this.points.length-1)],i=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-i,c=[0,0,0],u=0;u<3;++u)c[u]=l*n[u]+i*a[u];var h=Math.min(i<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},{\"./lib/shaders\":257,\"binary-search-bounds\":259,\"gl-buffer\":244,\"gl-texture2d\":324,\"gl-vao\":329,\"glsl-read-float\":402,ndarray:452}],259:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],260:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r*i-a*n;return o?(o=1/o,t[0]=i*o,t[1]=-n*o,t[2]=-a*o,t[3]=r*o,t):null}},{}],261:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=u*o-s*c,f=-u*i+s*l,p=c*i-o*l,d=r*h+n*f+a*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+a*c)*d,t[2]=(s*n-a*o)*d,t[3]=f*d,t[4]=(u*r-a*l)*d,t[5]=(-s*r+a*i)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*i)*d,t):null}},{}],262:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],263:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],264:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],a=t[3],i=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],v=t[15];return(e*o-r*i)*(h*v-f*g)-(e*s-n*i)*(u*v-f*d)+(e*l-a*i)*(u*g-h*d)+(r*s-n*o)*(c*v-f*p)-(r*l-a*o)*(c*g-h*p)+(n*l-a*s)*(c*d-u*p)}},{}],265:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r+r,s=n+n,l=a+a,c=r*o,u=n*o,h=n*s,f=a*o,p=a*s,d=a*l,g=i*o,v=i*s,m=i*l;return t[0]=1-h-d,t[1]=u+m,t[2]=f-v,t[3]=0,t[4]=u-m,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],266:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=n+n,l=a+a,c=i+i,u=n*s,h=n*l,f=n*c,p=a*l,d=a*c,g=i*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-m,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+v,t[7]=0,t[8]=f+m,t[9]=d-v,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],267:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],268:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,k=a*c-i*l,T=u*g-h*d,M=u*v-f*d,A=u*m-p*d,S=h*v-f*g,E=h*m-p*g,L=f*m-p*v,C=y*L-x*E+b*S+_*A-w*M+k*T;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(a*E-n*L-i*S)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(f*w-h*k-p*_)*C,t[4]=(l*A-o*L-c*M)*C,t[5]=(r*L-a*A+i*M)*C,t[6]=(v*b-d*k-m*x)*C,t[7]=(u*k-f*b+p*x)*C,t[8]=(o*E-s*A+c*T)*C,t[9]=(n*A-r*E-i*T)*C,t[10]=(d*w-g*b+m*y)*C,t[11]=(h*b-u*w-p*y)*C,t[12]=(s*M-o*S-l*T)*C,t[13]=(r*S-n*M+a*T)*C,t[14]=(g*x-d*_-v*y)*C,t[15]=(u*_-h*x+f*y)*C,t}},{}],269:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{\"./identity\":267}],270:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+i,b=L*E*o+C*a,_=C*E*o-L*a,w=E*L*o-C*a,k=L*L*o+i,T=C*L*o+E*a,M=E*C*o+L*a,A=L*C*o-E*a,S=C*C*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+v*S,t[10]=c*M+p*A+m*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=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]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=a*g+l*v+f*m+e[13],t[14]=i*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],279:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=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]=i,t[11]=e[14],t[12]=a,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}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":483}],282:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\\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}\"]),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\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:411}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.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=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,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())},T.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,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,normals:455,\"simplicial-complex-contour\":517,\"typedarray-pool\":544}],284:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[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)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,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:a,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:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:411}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":535}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[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 v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=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=i[s].slice(0);0!==l.length&&(l.sort(h),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:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(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),r.preventDefault()},!!l&&{passive:!1}),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),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":413,\"mouse-change\":437,\"mouse-event-offset\":438,\"mouse-wheel\":440,\"right-now\":503}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:411}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(\"canvas\"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=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:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,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:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,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},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)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.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 a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":422,\"mouse-change\":437}],294:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:411}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":544}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":549}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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=a([\"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=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:411}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.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 a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],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(P),o.free(E),o.free(L),o.free(C),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":425,\"typedarray-pool\":544}],301:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:411}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:452,\"typedarray-pool\":544}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],312:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * 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s=[t,e,n,0,0,0,1];s[a+3]=1,s[a]=i,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[a]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[a]=i,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=a(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=i(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:411}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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 ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"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=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":304,glslify:411}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[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]],M=[[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,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,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=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.isTransparent=function(){return this.opacity<1},L.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.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},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,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 a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);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 a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(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 i=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]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,\"ndarray-gradient\":443,\"ndarray-ops\":446,\"ndarray-pack\":447,\"surface-nets\":530,\"typedarray-pool\":544}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=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||i({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(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(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=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!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(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.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]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":424,\"object-assign\":456,\"parse-rect\":461,\"parse-unit\":463,\"pick-by-alias\":467,regl:501,\"to-px\":538,\"typedarray-pool\":544}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof 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v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,v=0;if(2===o.length)v=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])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;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 u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)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 f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function 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 v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===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,a,null),new f(t,o,e,r,n,a)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return 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Math.min.apply(Math,e.map(function(e){return e.evaluate(t)}))}],max:[It,sr(It),function(t,e){return Math.max.apply(Math,e.map(function(e){return e.evaluate(t)}))}],abs:[It,[It],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[It,[It],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[It,[It],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[It,[It],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],\"filter-==\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],\"filter-id-==\":[Rt,[Nt],function(t,e){var r=e[0];return t.id()===r.value}],\"filter-type-==\":[Rt,[Dt],function(t,e){var r=e[0];return t.geometryType()===r.value}],\"filter-<\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1],a=t.properties()[r.value],i=n.value;return typeof a==typeof i&&a<i}],\"filter-id-<\":[Rt,[Nt],function(t,e){var r=e[0],n=t.id(),a=r.value;return typeof n==typeof 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e[0].evaluate(t).toUpperCase()}],downcase:[Dt,[Dt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Dt,sr(Nt),function(t,e){return e.map(function(e){return $t(e.evaluate(t))}).join(\"\")}],\"resolved-locale\":[Dt,[jt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var _r=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new le,this._defaultValue=e?function(t){return\"color\"===t.type&&dr(t.default)?new Wt(0,0,0,0):\"color\"===t.type?Wt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function wr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in nr}function kr(t,e){var r=new ge(nr,[],e?function(t){var e={color:Ft,string:Dt,number:It,enum:Dt,boolean:Rt,formatted:Vt};return\"array\"===t.type?Ut(e[t.value]||Nt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?lr(new 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Tr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};Tr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if(\"error\"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!hr(e))return cr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&\"zoom\"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Pt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),r)}(r);if(!i&&!a)return cr([new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(i instanceof Pt)return cr([i]);if(i instanceof Ne&&!fr(e))return cr([new Pt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!i)return lr(new Tr(n?\"constant\":\"source\",t.value));var o=i instanceof Ne?i.interpolation:void 0;return lr(new Mr(n?\"camera\":\"composite\",t.value,i.labels,o))}Mr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Mr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Mr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Ne.interpolationFactor(this.interpolationType,t,e,r):0};var Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(fr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Be[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=xr;else if(\"interval\"===u)n=yr;else if(\"categorical\"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Qr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Qr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Lr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Qr;if(\"array\"!==pr(e))return[new Mt(i,e,\"array expected, \"+pr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Mt(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Mt(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return\"number\"!==a?[new Mt(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Mt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Mt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===pr(t.value.stops)&&\"array\"===pr(t.value.stops[0])&&\"object\"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==pr(i))return[new Mt(s,i,\"array expected, \"+pr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==pr(i[0]))return[new Mt(s,i,\"object expected, \"+pr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Qr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return ur(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Or(t){var e=(\"property\"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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Dr={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function Rr(t){if(null==t)return function(){return!0};Ir(t)||(t=Br(t));var e=kr(t,Dr);if(\"error\"===e.result)throw new Error(e.value.map(function(t){return t.key+\": \"+t.message}).join(\", \"));return function(t,r){return e.value.evaluate(t,r)}}function Fr(t,e){return t<e?-1:t>e?1:0}function Br(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Nr(t[1],t[2],\"==\"):\"!=\"===r?Ur(Nr(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Nr(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(Br))):\"all\"===r?[\"all\"].concat(t.slice(1).map(Br)):\"none\"===r?[\"all\"].concat(t.slice(1).map(Br).map(Ur)):\"in\"===r?jr(t[1],t.slice(2)):\"!in\"===r?Ur(jr(t[1],t.slice(2))):\"has\"===r?Vr(t[1]):\"!has\"!==r||Ur(Vr(t[1]))}function 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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zr({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:a,styleSpec:n})}}function Zr(t){var e=t.value,r=t.styleSpec,n=r.light,a=t.style,i=[],o=pr(e);if(void 0===e)return i;if(\"object\"!==o)return i.concat([new Mt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);i=l&&n[l[1]]&&n[l[1]].transition?i.concat(Qr({key:s,value:e[s],valueSpec:r.transition,style:a,styleSpec:r})):n[s]?i.concat(Qr({key:s,value:e[s],valueSpec:n[s],style:a,styleSpec:r})):i.concat([new Mt(s,e[s],'unknown property \"'+s+'\"')])}return i}function Jr(t){var e=t.value,r=t.key,n=pr(e);return\"string\"!==n?[new Mt(r,e,\"string expected, \"+n+\" found\")]:[]}var Kr={\"*\":function(){return[]},array:Lr,boolean:function(t){var e=t.value,r=t.key,n=pr(e);return\"boolean\"!==n?[new Mt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Cr,color:function(t){var e=t.key,r=t.value,n=pr(r);return\"string\"!==n?[new Mt(e,r,\"color expected, \"+n+\" found\")]:null===Yt(r)?[new Mt(e,r,'color expected, \"'+r+'\" found')]:[]},constants:At,enum:zr,filter:qr,function:Pr,layer:Wr,object:Er,source:Xr,light:Zr,string:Jr,formatted:function(t){return 0===Jr(t).length?[]:Or(t)}};function Qr(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&dr(Lt(e))?Pr(t):r.expression&&wr(Ct(e))?Or(t):r.type&&Kr[r.type]?Kr[r.type](t):Er(St({},t,{valueSpec:r.type?n[r.type]:r}))}function $r(t){var e=t.value,r=t.key,n=Jr(t);return n.length?n:(-1===e.indexOf(\"{fontstack}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{range}\" token')),n)}function tn(t,e){e=e||Tt;var r=[];return 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this._forEachCell(t,e,r,n,this._queryCell,s,{},a),s},hn.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=this.cells[a];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,i.push(c[f])):o[f]=!1}}},hn.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&a.call(this,t,e,r,n,d,i,o,s))return}},hn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},hn.prototype._convertToCellCoord=function(t){return 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c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(pn[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=pn[l].shallow.indexOf(u)>=0?h:vn(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function mn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof fn)return t;if(Array.isArray(t))return t.map(mn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=pn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),a=0,i=Object.keys(t);a<i.length;a+=1){var o=i[a];if(\"$name\"!==o){var 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(Zn);aa.prototype.bytesPerElement=12,dn(\"StructArrayLayout3f12\",aa);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zn);ia.prototype.bytesPerElement=4,dn(\"StructArrayLayout1ul4\",ia);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn(\"StructArrayLayout6i1ul2ui2i24\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn(\"StructArrayLayout2i2i2i12\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn(\"StructArrayLayout2ub2f12\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul44\",ca);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,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn(\"StructArrayLayout6i11ui1ul2f48\",ua);var ha=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zn);ha.prototype.bytesPerElement=4,dn(\"StructArrayLayout1f4\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn(\"StructArrayLayout3i6\",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn(\"StructArrayLayout1ul2ui8\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn(\"StructArrayLayout3ui6\",da);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.uint16=new Uint16Array(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.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zn);ga.prototype.bytesPerElement=4,dn(\"StructArrayLayout2ui4\",ga);var va=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zn);va.prototype.bytesPerElement=2,dn(\"StructArrayLayout1ui2\",va);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._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}(Zn);ma.prototype.bytesPerElement=8,dn(\"StructArrayLayout2f8\",ma);var ya=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 a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn(\"StructArrayLayout4f16\",ya);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 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},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;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}(oa);dn(\"CollisionBoxArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return 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i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey=\"\",this._buffers=[],this._featureMap=new Ia,this._bufferOffset=0};Ka.createDynamic=function(t,e,r){var n=new Ka,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Bn&&ur(o.property.specification)){var s=$a(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Wa(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=ti(i,l,\"source\");n.binders[i]=new Ja(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=ti(i,l,\"source\");n.binders[i]=new Xa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=ti(i,l,\"composite\");n.binders[i]=new Za(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ka.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ka.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Ja){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Xa||n instanceof Za)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ka.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Xa||a instanceof Za)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ka.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{\"line-pattern\":{source:ra,composite:ra},\"fill-pattern\":{source:ra,composite:ra},\"fill-extrusion-pattern\":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qn,this.indexArray=new da,this.segments=new Oa,this.programConfigurations=new Qa(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function oi(t,e){for(var r=0;r<t.length;r++)if(gi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(gi(t,e[n]))return!0;return!!ui(t,e)}function si(t,e,r){return!!gi(t,e)||!!fi(e,t,r)}function li(t,e){if(1===t.length)return di(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(gi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(di(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ui(t,e[o]))return!0;return!1}function ci(t,e,r){if(t.length>1){if(ui(t,e))return!0;for(var n=0;n<e.length;n++)if(fi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(fi(t[a],e,r))return!0;return!1}function ui(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(hi(n,a,e[i],e[i+1]))return!0;return!1}function hi(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function fi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(pi(t,e[a-1],e[a])<n)return!0;return!1}function pi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function di(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function gi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function vi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function mi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function yi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function xi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ii.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),l)){var h=ni(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ii.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ii.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ii.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ii.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Pa),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ii.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ii.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ei||c<0||c>=ei)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ai(this.layoutVertexArray,l,c,-1,-1),ai(this.layoutVertexArray,l,c,1,-1),ai(this.layoutVertexArray,l,c,1,1),ai(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},dn(\"CircleBucket\",ii,{omit:[\"layers\"]});var bi,_i=new Gn({\"circle-sort-key\":new Vn(Tt.layout_circle[\"circle-sort-key\"])}),wi={paint:new Gn({\"circle-radius\":new Vn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new Vn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new Vn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Vn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new jn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ii(t)},e.prototype.queryRadius=function(t){var e=t;return mi(\"circle-radius\",this,e)+mi(\"circle-stroke-width\",this,e)+yi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=xi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Ai(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var 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i=Ei({},{width:n,height:a},r);Ci(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Ci(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}dn(\"HeatmapBucket\",Si,{omit:[\"layers\"]});var Pi=function(t,e){Ei(this,t,1,e)};Pi.prototype.resize=function(t){Li(this,t,1)},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,1)};var Oi=function(t,e){Ei(this,t,4,e)};Oi.prototype.resize=function(t){Li(this,t,4)},Oi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Oi.prototype.clone=function(){return new Oi({width:this.width,height:this.height},new Uint8Array(this.data))},Oi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,4)},dn(\"AlphaImage\",Pi),dn(\"RGBAImage\",Oi);var zi={paint:new Gn({\"heatmap-radius\":new Vn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Vn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new jn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Hn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new jn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function Ii(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Co=Po;function Po(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Oo,this,e),this.length=this._features.length}function Oo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.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 Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=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 ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn(\"FillExtrusionBucket\",Bo,{omit:[\"layers\",\"features\"]});var Vo={paint:new Gn({\"fill-extrusion-opacity\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Un(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(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 c=xi(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=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 ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){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 l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn(\"LineBucket\",Zo,{omit:[\"layers\",\"patternFeatures\"]});var Jo=new Gn({\"line-cap\":new jn(Tt.layout_line[\"line-cap\"]),\"line-join\":new Vn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new jn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Vn(Tt.layout_line[\"line-sort-key\"])}),Ko={paint:new Gn({\"line-opacity\":new Vn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new Vn(Tt.paint_line[\"line-color\"]),\"line-translate\":new jn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Vn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new Vn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new Vn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new Vn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new qn(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Un(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new Hn(Tt.paint_line[\"line-gradient\"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return 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t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Ii(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Qo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi(\"line-width\",this,e),mi(\"line-gap-width\",this,e)),n=mi(\"line-offset\",this,e);return r/2+Math.abs(n)+yi(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*ts(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(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 c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(gi(t,a[i]))return!0;if(ci(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Yn);function ts(t,e){return e>0?e+2*t:t}var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn[\"Arabic Supplement\"](S)||xn[\"Arabic Extended-A\"](S)||xn[\"Arabic Presentation Forms-A\"](S)||xn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/_s:\"composite\"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn(\"SymbolBuffers\",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn(\"CollisionBuffers\",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e[\"text-size\"]),this.iconSizeData=ws(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(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 cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.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))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.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},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[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--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.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))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.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=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.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 a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn(\"SymbolBucket\",Os,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({\"symbol-placement\":new jn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Vn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new jn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new jn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Vn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Vn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Vn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Vn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Vn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Vn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new Vn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new Vn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new Vn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Vn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Vn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Vn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new jn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Vn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new jn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Vn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new jn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Vn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new Vn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jn(Tt.layout_symbol[\"text-optional\"])}),Is={paint:new Gn({\"icon-opacity\":new Vn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Vn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Vn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Vn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Vn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Vn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new Vn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Vn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Vn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Vn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.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},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn(\"FormatSectionOverride\",Ds,{omit:[\"defaultValue\"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"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 r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Tr(\"source\",s):new Mr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,i.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=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({\"background-color\":new jn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new qn(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new jn(Tt.paint_background[\"background-opacity\"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({\"raster-opacity\":new jn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new jn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new jn(Tt.paint_raster[\"raster-fade-duration\"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=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}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,\"fill-extrusion\":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn(\"ImagePosition\",Hs),dn(\"ImageAtlas\",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||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)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.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)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var _l=ml,wl=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()})};wl.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))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new wl(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function Tl(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]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},kl.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 this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Ml=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]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=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\")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Al.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 Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Al(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 Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(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)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.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},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(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 Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.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))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn(\"CanonicalTileID\",Il),dn(\"OverscaledTileID\",Rl,{omit:[\"posMatrix\"]});var Bl=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\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.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)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn(\"DEMData\",Bl);var Nl=Jn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),jl=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}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.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},Ul.geometry.set=function(t){this._geometry=t},Vl.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(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.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]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=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]},ql.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&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)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}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[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 i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.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 c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn(\"FeatureIndex\",Hl,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Wl=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.expiredRequestCount=0,this.state=\"loading\"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Wl.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=i[a],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}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.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\"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.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 Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.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(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wl.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)},Wl.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){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.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++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?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++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(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++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(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,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-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 St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(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 a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=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(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}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 a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].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 a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.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,a=t.uid;return n&&n[a]?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){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},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.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.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()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.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 a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(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(t){return void 0===r[t]&&(r[t]=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)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(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 i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"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 u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},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 f=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],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},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,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(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={},a=0,i=e;a<i.length;a+=1){var o=i[a];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,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"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 m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.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 a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/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,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),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 a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},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.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},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.RGBA,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.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,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\"])),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(i)}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 A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={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};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),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 A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,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),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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.url,this.tileSize);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 i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.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),a=(r.x-1+n)%n,i=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,i,r.z,a,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,i,r.z,a,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,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){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=a.getActor(),this.setEventedParent(i),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);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},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),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.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,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),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),P=function(e){function r(t,r,n,a){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(a),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(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,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,a=-1/0,i=-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),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),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,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,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(\"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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),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 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),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!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),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),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=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}(_t),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}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\")};Lt.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()},Lt.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},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.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))},Lt.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)},Lt.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)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,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 Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},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,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{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 a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.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){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},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 a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}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 a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=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)}):(a=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&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},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={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},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 a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(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}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(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]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={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 jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.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 Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(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 Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.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)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=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};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.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 ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===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 c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=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=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[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)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}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.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(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*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._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 Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.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),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.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],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.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 a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.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 ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}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 a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},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._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,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,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.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 a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._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={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.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.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.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 a=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 i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.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 a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}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,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.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 a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,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._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.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):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 a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),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,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,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,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):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.\"))):a.removeFeatureState(o,s,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,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else 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]&&(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={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.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 a={};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 i=0,o=r.layers;i<o.length;i+=1){var s=o[i],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.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[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(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){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,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},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(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();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,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[y.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)},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);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#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;}\"),Ne=cr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),je=cr(\"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);}\"),Ve=cr(\"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);}\"),Ue=cr(\"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);}\"),qe=cr(\"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;}\"),He=cr(\"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;}\"),Ge=cr(\"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;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;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);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#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);}\"),Ze=cr(\"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;}\"),Je=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),Ke=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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);}\"),Qe=cr(\"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;}\"),$e=cr(\"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\\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\\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 vec4 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\\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\\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 pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),tr=cr(\"#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;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/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;}\"),er=cr(\"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;}\"),rr=cr(\"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);}\"),nr=cr(\"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);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 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 pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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 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,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));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;\\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 vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_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);}\"),ir=cr(\"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);}\"),or=cr(\"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;}\"),sr=cr(\"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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),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));}\"),lr=cr(\"#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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=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)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=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*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.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:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){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*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Rr(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 Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={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.Uniform4f(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.Uniform4f(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.Uniform4f(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:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},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)}},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.Uniform4f(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.Uniform1f(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.Uniform1f(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.Uniform1f(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 Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),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),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,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,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?tn(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;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 a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.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,Fe.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,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.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);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},on.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])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){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 n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}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=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.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()},on.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)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,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._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,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._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.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))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.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())},hn.zoom.get=function(){return this._zoom},hn.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())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=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,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.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 a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.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)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.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 a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.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])},un.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)))},un.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},un.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])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.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},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=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),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*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.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(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=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+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};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,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(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};xn.prototype.isEnabled=function(){return\"disabled\"!==this._state},xn.prototype.isActive=function(){return\"active\"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},xn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};_n.prototype.isEnabled=function(){return\"disabled\"!==this._state},_n.prototype.isActive=function(){return\"active\"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},_n.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=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.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,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&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=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._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){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&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(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}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),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ln.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ln.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},Ln.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},Ln.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\"}},Ln.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.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 a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.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)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Cn=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Cn.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\",\"Mapbox logo\"),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},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Cn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Cn.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}},Cn.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 Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.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 a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,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},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new un(e.minZoom,e.maxZoom,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 Pn,this._controls=[],this._mapId=t.uniqueId(),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 zn))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 a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new pn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new pn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new pn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new dn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new dn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new dn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new dn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new pn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new gn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).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 Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.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 a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.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},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&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 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.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\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.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 a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.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))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(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)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.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)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.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+\"'\")))},a.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 a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,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`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.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 a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==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 On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.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/.\")},a.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.style.position=\"absolute\",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 a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.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 on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return 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}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.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.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(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,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([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}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}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Bn.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._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.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),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var jn={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 Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",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\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{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<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);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 y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),Vn(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),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},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){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},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}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_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){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Un=\"denied\"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){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,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){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\"),void 0!==this._geolocationWatchID&&this._clearWatch();else 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\")}\"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;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),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 qn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(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\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},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\":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\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}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),Yn={maxWidth:100,unit:\"metric\"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,\"mi\"):Zn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Zn(e,c,h/1852,\"nm\"):Zn(e,c,h,\"m\")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=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;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.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},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=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\"),this._className=\"mapboxgl-ctrl\"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.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(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Jn.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 Kn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),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(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),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._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(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=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.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,h){var d=e.passes[h];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 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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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=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  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 * pixelRatio;\\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=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * 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  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\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.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},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=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 i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)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 h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.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 a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[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 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t.x.length?e.xAttr={buffer:s.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:s.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=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(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}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:411,\"is-iexplorer\":421,\"object-assign\":456,\"parse-rect\":461,\"pick-by-alias\":467,\"point-cluster\":471,\"to-float32\":537,\"update-diff\":548}],500:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}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]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],543:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],544:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":570,\"object-assign\":456}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":570,\"object-assign\":456}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":570,\"object-assign\":456}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":570,\"object-assign\":456}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":570,\"object-assign\":456}],563:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":570,\"object-assign\":456}],565:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":570,\"object-assign\":456}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":570,\"object-assign\":456}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":570,\"object-assign\":456}],569:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){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 i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.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,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):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=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var 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yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":613,d3:165,\"fast-isnumeric\":228}],621:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":592,d3:165}],622:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],623:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var 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0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":628}],625:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":622,\"./hoverlabel_defaults\":629}],627:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var o=0;o<a.length;o++)if(-1!==e.indexOf(n[i]+a[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,a){return\"closest\"===t?a||r.quadrature(e,n):\"x\"===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var a=e(t[n]);a<=r.distance&&(r.index=n,r.distance=a)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),a=e(r);return Math.sqrt(n*n+a*a)}},r.makeEventData=function(t,e,n){var a=\"index\"in t?t.index:t.pointNumber,i={data:e._input,fullData:e,curveNumber:e.index,pointNumber:a};if(e._indexToPoints){var o=e._indexToPoints[a];1===o.length?i.pointIndex=o[0]:i.pointIndices=o}else i.pointIndex=a;return 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a=t.map(function(t){return{color:t.color||h.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,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=M(a,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),A(l,s.rotateLabels),r?l:l.node()};var T=/<extra>([\\s\\S]*)<\\/extra>/;function M(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,x=t[0],b=x.xa,_=x.ya,M=\"y\"===i?\"yLabel\":\"xLabel\",A=x[M],S=(String(A)||\"\").split(\" \")[0],E=p.node().getBoundingClientRect(),L=E.top,P=E.width,O=E.height,z=void 0!==A&&x.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(z){var I,D,R=!0;for(I=0;I<t.length;I++)if(R&&void 0===t[I].zLabel&&(R=!1),D=t[I].hoverinfo||t[I].trace.hoverinfo){var F=Array.isArray(D)?D:D.split(\"+\");if(-1===F.indexOf(\"all\")&&-1===F.indexOf(i)){z=!1;break}}R&&(z=!1)}var B=f.selectAll(\"g.axistext\").data(z?[0]:[]);B.enter().append(\"g\").classed(\"axistext\",!0),B.exit().remove(),B.each(function(){var 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O=C.width/2+k;T<O?(T=O,s.attr(\"d\",\"M-\"+(O-w)+\",0L-\"+(O-2*w)+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"Z\")):T>a.width-O?(T=a.width-O,s.attr(\"d\",\"M\"+(O-w)+\",0L\"+O+\",\"+P+w+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"H\"+(O-2*w)+\"Z\")):s.attr(\"d\",\"M0,0L\"+w+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+(k+C.width/2)+\"V\"+P+w+\"H-\"+w+\"Z\")}else{var z,I,D;\"right\"===_.side?(z=\"start\",I=1,D=\"\",T=b._offset+b._length):(z=\"end\",I=-1,D=\"-\",T=b._offset),E=_._offset+(x.y0+x.y1)/2,c.attr(\"text-anchor\",z),s.attr(\"d\",\"M0,0L\"+D+w+\",\"+w+\"V\"+(k+C.height/2)+\"h\"+D+(2*k+C.width)+\"V-\"+(k+C.height/2)+\"H\"+D+w+\"V-\"+w+\"Z\");var R,F=C.height/2,B=L-C.top-F,N=\"clip\"+a._uid+\"commonlabel\"+_._id;if(T<C.width+2*k+w){R=\"M-\"+(w+k)+\"-\"+F+\"h-\"+(C.width-k)+\"V\"+F+\"h\"+(C.width-k)+\"Z\";var j=C.width-T+k;l.positionText(c,j,B),\"end\"===z&&c.selectAll(\"tspan\").each(function(){var t=n.select(this),e=u.tester.append(\"text\").text(t.text()).call(u.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(C.width)&&t.attr(\"x\",j-r.width),e.remove()})}else l.positionText(c,I*(k+w),B),R=null;var V=a._topclips.selectAll(\"#\"+N).data(R?[0]:[]);V.enter().append(\"clipPath\").attr(\"id\",N).append(\"path\"),V.exit().remove(),V.select(\"path\").attr(\"d\",R),u.setClipUrl(c,R?N:null,r)}e.attr(\"transform\",\"translate(\"+T+\",\"+E+\")\"),t=t.filter(function(t){return void 0!==t.zLabelVal||(t[M]||\"\").split(\" \")[0]===S})});var N=f.selectAll(\"g.hovertext\").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||\"\"].join(\",\")});return N.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,g,y)}),N.exit().remove(),N.each(function(t){var e=n.select(this).attr(\"transform\",\"\"),f=\"\",p=\"\",d=t.bgcolor||t.color,v=h.combine(h.opacity(d)?d:h.defaultLine,c),x=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),b=t.borderColor||h.contrast(v);void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),f=C(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(p+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(p+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(p+=(p?\"z: \":\"\")+t.zLabel)):z&&t[i+\"Label\"]===A?p=t[(\"x\"===i?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(p=t.yLabel):p=void 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N,j,V=I.node().getBoundingClientRect(),U=t.xa._offset+(t.x0+t.x1)/2,q=t.ya._offset+(t.y0+t.y1)/2,H=Math.abs(t.x1-t.x0),G=Math.abs(t.y1-t.y0),Y=V.width+w+k+R;if(t.ty0=L-V.top,t.bx=V.width+2*k,t.by=Math.max(V.height+2*k,F),t.anchor=\"start\",t.txwidth=V.width,t.tx2width=R,t.offset=0,s)t.pos=U,N=q+G/2+Y<=O,j=q-G/2-Y>=0,\"top\"!==t.idealAlign&&N||!j?N?(q+=G/2,t.anchor=\"start\"):t.anchor=\"middle\":(q-=G/2,t.anchor=\"end\");else if(t.pos=q,N=U+H/2+Y<=P,j=U-H/2-Y>=0,\"left\"!==t.idealAlign&&N||!j)if(N)U+=H/2,t.anchor=\"start\";else{t.anchor=\"middle\";var W=Y/2,X=U+W-P,Z=U-W;X>0&&(U-=X),Z<0&&(U+=-Z)}else U-=H/2,t.anchor=\"end\";I.attr(\"text-anchor\",t.anchor),R&&D.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+U+\",\"+q+\")\"+(s?\"rotate(\"+m+\")\":\"\"))}),N}function A(t,e){t.each(function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(w+k),h=c+s*(t.txwidth+k),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+k),e&&(p*=-_,f=t.offset*b),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*w+f)+\",\"+(w+p)+\"v\"+(t.by/2-w)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*w+f)+\"V\"+(p-w)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+k,v=t.textAlign||\"auto\";\"auto\"!==v&&(\"left\"===v&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+k:-t.bx-k):\"right\"===v&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-k:t.bx+k)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*k+f,p+t.ty0-t.by/2+k),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))})}function S(t,e){var r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var h=p.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+h+\" / -\"+p.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+h,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var f=p.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+f+\" / -\"+p.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+f,\"y\"===e&&(t.distance+=1)}var d=t.hoverinfo||t.trace.hoverinfo;return d&&\"all\"!==d&&(-1===(d=Array.isArray(d)?d:d.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===d.indexOf(\"y\")&&(t.yLabel=void 0),-1===d.indexOf(\"z\")&&(t.zLabel=void 0),-1===d.indexOf(\"text\")&&(t.text=void 0),-1===d.indexOf(\"name\")&&(t.name=void 0)),t}function E(t,e,r){var n,a,o=r.container,s=r.fullLayout,l=s._size,c=r.event,f=!!e.hLinePoint,d=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),d||f){var g=h.combine(s.plot_bgcolor,s.paper_bgcolor);if(f){var v,m,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(a=y&&y.ya).spikesnap?(v=c.pointerX,m=c.pointerY):(v=n._offset+y.x,m=a._offset+y.y);var x,b,_=i.readability(y.color,g)<1.5?h.contrast(g):y.color,w=a.spikemode,k=a.spikethickness,T=a.spikecolor||_,M=p.getPxPosition(t,a);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=M,b=v),-1!==w.indexOf(\"across\")){var A=a._counterDomainMin,S=a._counterDomainMax;\"free\"===a.anchor&&(A=Math.min(A,a.position),S=Math.max(S,a.position)),x=l.l+A*l.w,b=l.l+S*l.w}o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k,stroke:T,\"stroke-dasharray\":u.dashStyle(a.spikedash,k)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==w.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:M+(\"right\"!==a.side?k:-k),cy:m,r:k,fill:T}).classed(\"spikeline\",!0)}if(d){var E,L,C=e.vLinePoint;n=C&&C.xa,a=C&&C.ya,\"cursor\"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=a._offset+C.y);var P,O,z=i.readability(C.color,g)<1.5?h.contrast(g):C.color,I=n.spikemode,D=n.spikethickness,R=n.spikecolor||z,F=p.getPxPosition(t,n);if(-1!==I.indexOf(\"toaxis\")||-1!==I.indexOf(\"across\")){if(-1!==I.indexOf(\"toaxis\")&&(P=F,O=L),-1!==I.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,O=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D,stroke:R,\"stroke-dasharray\":u.dashStyle(n.spikedash,D)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==I.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?D:-D),r:D,fill:R}).classed(\"spikeline\",!0)}}}function L(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function C(t,e){return l.plainText(t||\"\",{len:e,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\"]})}},{\"../../lib\":717,\"../../lib/events\":707,\"../../lib/override_cursor\":728,\"../../lib/svg_text_utils\":741,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../color\":592,\"../dragelement\":610,\"../drawing\":613,\"./constants\":625,\"./helpers\":627,d3:165,\"fast-isnumeric\":228,tinycolor2:536}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,a){r(\"hoverlabel.bgcolor\",(a=a||{}).bgcolor),r(\"hoverlabel.bordercolor\",a.bordercolor),r(\"hoverlabel.namelength\",a.namelength),n.coerceFont(r,\"hoverlabel.font\",a.font),r(\"hoverlabel.align\",a.align)}},{\"../../lib\":717}],630:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../dragelement\"),o=t(\"./helpers\"),s=t(\"./layout_attributes\"),l=t(\"./hover\");e.exports={moduleType:\"component\",name:\"fx\",constants:t(\"./constants\"),schema:{layout:s},attributes:t(\"./attributes\"),layoutAttributes:s,supplyLayoutGlobalDefaults:t(\"./layout_global_defaults\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return a.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return a.castOption(t,r,\"hoverinfo\",function(r){return a.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:i.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=a.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:t(\"./click\")}},{\"../../lib\":717,\"../dragelement\":610,\"./attributes\":622,\"./calc\":623,\"./click\":624,\"./constants\":625,\"./defaults\":626,\"./helpers\":627,\"./hover\":628,\"./layout_attributes\":631,\"./layout_defaults\":632,\"./layout_global_defaults\":633,d3:165}],631:[function(t,e,r){\"use strict\";var 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r=e.l2p(t.x),a=$(this),o=h.bBox(a.node());i.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})}),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1)<2.5*n||\"multicategory\"===e.type;for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1])){x=l?90:30;break}}else{var u=2;for(e.ticks&&(u+=e.tickwidth/2),t=0;t<i.length;t++){var p=f[t].xbnd,g=i[t];if(null!==p[0]&&g.left-e.l2p(p[0])<u||null!==p[1]&&e.l2p(p[1])-g.right<u){x=90;break}}}x&&y(v,x)}}),e._tickAngles&&b.push(function(){e._tickAngles[u]=null===x?a(d)?d:0:x});var _=s.syncOrAsync(b);return _&&_.then&&t._promises.push(_),_},E.getPxPosition=function(t,e){var r,n=t._fullLayout._size,a=e._id.charAt(0),i=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===a?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===a&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===i||\"left\"===i?r._offset:\"bottom\"===i||\"right\"===i?r._offset+r._length:void 0},E.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&(Q(e,0)||!function(t,e,r,n){var a=r._mainAxis;if(!a)return;var i=t._fullLayout,o=e._id.charAt(0),s=E.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var a=t._linepositions||{};for(var i in a)if(n(a[i][0])||n(a[i][1]))return!0}var 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n._length*(n._rl[e]-a)/(n._rl[e]-n._rl[i])}}function Bt(t,e){for(var r=et.isSubplotConstrained?{x:Z,y:X}[t]:et[t+\"axes\"],n=et.isSubplotConstrained?{x:X,y:Z}[t]:[],a=0;a<r.length;a++){var i=r[a],o=i._id,s=et.xLinks[o]||et.yLinks[o],l=n[0]||Y[s]||W[s];l&&(e?(e[i._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[i._name+\".range[1]\"]=e[l._name+\".range[1]\"]):i.range=l.range.slice())}}function Nt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(it&&(n(X),n(tt.xaxes),n(et.xaxes)),ot&&(n(Z),n(tt.yaxes),n(et.yaxes)),ut={},e=0;e<r.length;e++){var a=r[e],i=x(t,a);f.drawOne(t,i,{skipTitle:!0}),ut[i._name+\".range[0]\"]=i.range[0],ut[i._name+\".range[1]\"]=i.range[1]}f.redrawComponents(t,r)}function jt(){Vt([0,0,Q,$]),s.syncOrAsync([y.previousPromises,function(){t._fullLayout._replotting=!1,o.call(\"_guiRelayout\",t,ut)}],t)}function Vt(e){var 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T=a._offset-b/y,M=i._offset-_/x;n.clipRect.call(u.setTranslate,b,_).call(u.setScale,y,x),n.plot.call(u.setTranslate,T,M).call(u.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(u.setPointGroupScale(n.zoomScalePts,y,x),u.setTextPointsScale(n.zoomScaleTxt,y,x)),u.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Ut(t,e,r){return t.fixedrange?0:it&&tt.xaHash[t._id]?e:ot&&(tt.isSubplotConstrained?tt.xaHash:tt.yaHash)[t._id]?r:0}function qt(t,e){return e?(t.range=t._r.slice(),k(t,e),Ht(t,e)):0}function Ht(t,e,r){return t._length*(1-e)*g[r||t.constraintoward||\"middle\"]}return S.length*E.length!=1&&q(vt,function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Et(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();dt(),clearTimeout(It);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),i=Rt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(it){for(E||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Bt(\"x\"),zt[2]*=a,zt[0]+=zt[2]*o*(1/a-1)}if(ot){for(S||(l=.5),n=0;n<Z.length;n++)c(Z[n],l,a);Bt(\"y\"),zt[3]*=a,zt[1]+=zt[3]*(1-l)*(1/a-1)}Vt(zt),Nt(),t.emit(\"plotly_relayouting\",ut),It=setTimeout(function(){zt=[0,0,Q,$],jt()},Dt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.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)})}}}),vt},makeDragger:E,makeRectDragger:L,makeZoombox:I,makeCorners:D,updateZoombox:R,xyCorners:V,transitionZoombox:F,removeZoombox:B,showDoubleClickNotifier:N,attachWheelEventHandler:q}},{\"../../components/color\":592,\"../../components/dragelement\":610,\"../../components/drawing\":613,\"../../components/fx\":630,\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/clear_gl_canvases\":702,\"../../lib/setcursor\":737,\"../../lib/svg_text_utils\":741,\"../../plot_api/subroutines\":756,\"../../registry\":846,\"../plots\":826,\"./axes\":765,\"./axis_ids\":768,\"./constants\":771,\"./scale_zoom\":781,\"./select\":782,d3:165,\"has-passive-events\":413,tinycolor2:536}],774:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/fx\"),i=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort(function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1}).forEach(function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchmove\",function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchend\",function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()},!!s&&{passive:!1}),c.wheelListener=a(e,function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0},!0),c}},{\"../cartesian/constants\":771,\"has-passive-events\":413,\"mouse-change\":437,\"mouse-event-offset\":438,\"mouse-wheel\":440}],802:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(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=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":740,\"../cartesian/axes\":765}],803:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(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=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({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),r.className+=\" user-select-none\";var i=this.svgContainer=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\";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(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.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,a=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 i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.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},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.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],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].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())},w.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&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.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}},w.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 a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===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},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.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,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.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])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":555}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.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, 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204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":592,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:536}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"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 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o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".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 g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":592,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){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]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\"),_=function(){if(!navigator)return!1;var t;t||\"undefined\"==typeof navigator||(t=navigator.userAgent);t&&t.headers&&\"string\"==typeof t.headers[\"user-agent\"]&&(t=t.headers[\"user-agent\"]);if(\"string\"!=typeof t)return!1;var e=b({ua:t,tablet:!0});!1===e&&-1!==t.indexOf(\"Macintosh\")&&-1!==t.indexOf(\"Safari\")&&navigator.maxTouchPoints>1&&(e=!0);return e}();function w(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=w.prototype;k.tryCreatePlot=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:_,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}var e=0;try{this.glplot=s(t)}catch(r){e++;try{this.glplot=s(t)}catch(t){e++}}return e<2},k.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio()),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){a(t)}),t.glplot.canvas.addEventListener(\"wheel\",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})},!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function M(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&M(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in m?(m[l].acc*=f[i],m[l].count+=1):m[l]={acc:f[i],count:1},s.autorange){g[0][i]=1/0,g[1][i]=-1/0;var y=this.glplot.objects,x=this.fullSceneLayout.annotations||[],b=s._name.charAt(0);for(o=0;o<y.length;o++){var _=y[o],w=_.bounds,k=_._trace.data._pad||0;\"ErrorBars\"===_.constructor.name&&s._lowerLogErrorBound?g[0][i]=Math.min(g[0][i],s._lowerLogErrorBound):g[0][i]=Math.min(g[0][i],w[0][i]/f[i]-k),g[1][i]=Math.max(g[1][i],w[1][i]/f[i]+k)}for(o=0;o<x.length;o++){var A=x[o];if(A.visible){var S=s.r2l(A[b]);g[0][i]=Math.min(g[0][i],S),g[1][i]=Math.max(g[1][i],S)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][i]=Math.min(g[0][i],0),g[1][i]=Math.max(g[1][i],0)),g[0][i]>g[1][i])g[0][i]=-1,g[1][i]=1;else{var E=g[1][i]-g[0][i];g[0][i]-=E/32,g[1][i]+=E/32}if(\"reversed\"===s.autorange){var L=g[0][i];g[0][i]=g[1][i],g[1][i]=L}}else{var C=s.range;g[0][i]=s.r2l(C[0]),g[1][i]=s.r2l(C[1])}g[0][i]===g[1][i]&&(g[0][i]-=1,g[1][i]+=1),v[i]=g[1][i]-g[0][i],this.glplot.setBounds(i,{min:g[0][i]*f[i],max:g[1][i]*f[i]})}var P=[1,1,1];for(i=0;i<3;++i){var O=m[l=(s=c[T[i]]).type];P[i]=Math.pow(O.acc,1/O.count)/f[i]}var z;if(\"auto\"===c.aspectmode)z=Math.max.apply(null,P)/Math.min.apply(null,P)<=4?P:[1,1,1];else if(\"cube\"===c.aspectmode)z=[1,1,1];else if(\"data\"===c.aspectmode)z=P;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var I=c.aspectratio;z=[I.x,I.y,I.z]}c.aspectratio.x=u.aspectratio.x=z[0],c.aspectratio.y=u.aspectratio.y=z[1],c.aspectratio.z=u.aspectratio.z=z[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z});var D=c.domain||null,R=e._size||null;if(D&&R){var F=this.container.style;F.position=\"absolute\",F.left=R.l+D.x[0]*R.w+\"px\",F.top=R.t+(1-D.y[1])*R.h+\"px\",F.width=R.w*(D.x[1]-D.x[0])+\"px\",F.height=R.h*(D.y[1]-D.y[0])+\"px\"}this.glplot.redraw()}},k.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},k.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+\".camera\").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+\".aspectratio\").set(a),this.glplot.redraw()}return f},k.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,a=n._fullLayout,i=this.fullSceneLayout.camera,o=i.up.x,s=i.up.y,l=i.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",f={x:0,y:0,z:1},p={};p[c]=f;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,a._preGUI,p),i.up=f,h.nestedProperty(d,c).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),f},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];f.setConvert(e,this.fullLayout),e.setScale=h.noop}},k.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},f.setConvert(this._mockAxis,t)},e.exports=w},{\"../../components/fx\":630,\"../../lib\":717,\"../../lib/show_no_webgl_msg\":738,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"./layout/convert\":809,\"./layout/spikes\":812,\"./layout/tick_marks\":813,\"./project\":814,\"gl-plot3d\":293,\"has-passive-events\":413,\"is-mobile\":422,\"webgl-context\":555}],816:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],817:[function(t,e,r){\"use strict\";var 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O=n.range.apply(this,L);if(O=O.map(function(t,e){return parseFloat(t.toPrecision(12))}),s=n.scale.linear().domain(L.slice(0,2)).range(\"clockwise\"===f.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,\"undefined\"==typeof(t=n.select(this).select(\"svg.chart-root\"))||t.empty()){var z=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + 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ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else 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arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof 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s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var 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e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:i.title.text,font:i.title.font},color:i.color,tickmode:i.tickmode,nticks:s({},i.nticks,{dflt:6,min:1}),tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:s({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:s({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth,layer:i.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},c=e.exports=o({domain:a({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":591,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../cartesian/layout_attributes\":777,\"../domain\":790}],844:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var 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n=t(\"../../plots/font_attributes\"),a=t(\"./axis_attributes\"),i=t(\"../../components/color/attributes\"),o=n({editType:\"calc\"});o.family.dflt='\"Open Sans\", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=i.defaultLine,e.exports={carpet:{valType:\"string\",editType:\"calc\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},a:{valType:\"data_array\",editType:\"calc\"},a0:{valType:\"number\",dflt:0,editType:\"calc\"},da:{valType:\"number\",dflt:1,editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},b0:{valType:\"number\",dflt:0,editType:\"calc\"},db:{valType:\"number\",dflt:1,editType:\"calc\"},cheaterslope:{valType:\"number\",dflt:1,editType:\"calc\"},aaxis:a,baxis:a,font:o,color:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},transforms:void 0}},{\"../../components/color/attributes\":591,\"../../plots/font_attributes\":791,\"./axis_attributes\":901}],900:[function(t,e,r){\"use 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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l=s.cd,c=l[0].trace,u=\"h\"===c.orientation,h=l[s.index];s[(u?\"x\":\"y\")+\"LabelVal\"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=i(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=i(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=i(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&\"none\"!==f&&\"skip\"!==f){var d=\"all\"===f,g=f.split(\"+\"),v=function(t){return d||-1!==g.indexOf(t)};v(\"percent initial\")&&p.push(s.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&p.push(s.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&p.push(s.percentTotalLabel+\" of total\")}return s.extraText=p.join(\"<br>\"),s.color=function(t,e){var r=t.marker,a=e.mc||r.color,i=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(a))return a;if(n(i)&&o)return i}(c,h),[s]}}},{\"../../components/color\":592,\"../../lib\":717,\"../bar/hover\":863}],986:[function(t,e,r){\"use 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a[0]=o.c2p(t.s0,!0),i[0]=s.c2p(t.p0,!0),a[1]=o.c2p(t.s1,!0),i[1]=s.c2p(t.p1,!0),a[2]=o.c2p(t.nextS0,!0),i[2]=s.c2p(t.nextP0,!0),a[3]=o.c2p(t.nextS1,!0),i[3]=s.c2p(t.nextP1,!0),n?[a,i]:[i,a]}e.exports=function(t,e,r,c){var u=t._fullLayout;s(\"funnel\",u),function(t,e,r,o){var s=e.xaxis,c=e.yaxis;a.makeTraceGroups(o,r,\"trace bars\").each(function(r){var o=n.select(this),u=r[0].trace,h=a.ensureSingle(o,\"g\",\"regions\");if(u.connector&&u.connector.visible){var f=\"h\"===u.orientation,p=h.selectAll(\"g.region\").data(a.identity);p.enter().append(\"g\").classed(\"region\",!0),p.exit().remove();var d=p.size();p.each(function(r,o){if(o===d-1||r.cNext){var u=l(r,s,c,f),h=u[0],p=u[1],g=\"\";void 0!==h[3]&&void 0!==p[3]&&(g+=f?\"M\"+h[0]+\",\"+p[1]+\"L\"+h[2]+\",\"+p[2]+\"H\"+h[3]+\"L\"+h[1]+\",\"+p[1]+\"Z\":\"M\"+h[1]+\",\"+p[1]+\"L\"+h[2]+\",\"+p[3]+\"V\"+p[2]+\"L\"+h[1]+\",\"+p[0]+\"Z\"),a.ensureSingle(n.select(this),\"path\").attr(\"d\",g).call(i.setClipUrl,e.layerClipId,t)}})}else 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n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,a,r,i)}var u=c(\"labels\"),h=c(\"values\"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),v=c(\"texttemplate\");if(v||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),v||d&&\"none\"!==d){var m=c(\"textposition\");o(t,e,l,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}i(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"../pie/defaults\":1097,\"./attributes\":991}],995:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1105,\"./attributes\":991,\"./base_plot\":992,\"./calc\":993,\"./defaults\":994,\"./layout_attributes\":996,\"./layout_defaults\":997,\"./plot\":998,\"./style\":999}],996:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},v={left:0,center:.5,right:1},m=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(I=T(f,\"deltaPos\",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(I=T(f,\"deltaPos\",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var I=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return I(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:T,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return I(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:T,transFn:c,labelFns:O})}var R=[v].concat(f.gauge.steps),F=k.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(C).call(x),F.exit().remove();var B=L(f.gauge.bar.thickness),N=k.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return 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r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))}),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(t){i(t)}),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,0,a,function(r,a){return n.coerce(t,e,i,r,a)})},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":602,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1056}],1060:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":600}],1063:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!v(t.i,h)||!v(t.j,h)||!v(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;m[x+\"Intensity\"]=t.intensity,m[x+\"IntensityBounds\"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new 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g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(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 b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(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 a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(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,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.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}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=v(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gup\":715}],1086:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":602,\"../../components/colorscale/helpers\":603,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var 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n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":592,\"fast-isnumeric\":228,tinycolor2:536}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":627}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":717}],1100:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"./helpers\"),d=t(\"./event_data\"),g=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[p.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,g=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=p.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=p.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=p.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:g-f*a.r,x1:g+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:p.castOption(b.bgcolor,t.pts)||t.color,borderColor:p.castOption(b.bordercolor,t.pts),fontFamily:p.castOption(_.family,t.pts),fontSize:p.castOption(_.size,t.pts),fontColor:p.castOption(_.color,t.pts),nameLength:p.castOption(b.namelength,t.pts),textAlign:p.castOption(b.align,t.pts),hovertemplate:p.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[d(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[d(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[d(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[d(t,a)],i.click(e,n.event))})}function m(t,e,r){var n=p.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=p.castOption(t._input.textfont.color,e.pts));var a=p.castOption(t.insidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.insidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function y(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function x(t,e,r){var n,a=Math.sqrt(t.width*t.width+t.height*t.height),i=e.halfangle,o=e.midangle,s=e.ring,l=e.rInscribed,c=r.r||e.rpx1,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=1===s&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,v=[];if(!d){var m,y=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var i=Math.abs(r-e.startangle),o=Math.abs(r-e.stopangle),l=i<o?i:o;(n=\"tan\"===a?_(t,c,s,l,0):b(t,c,s,l,Math.PI/2)).textPosAngle=r,v.push(n)}};if(h||f){for(m=4;m>=-4;m-=2)y(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)y(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+.5),\"rad\")}}if(g||d||h){if((n={scale:l*c*2/a,rCenter:1-l,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,n.scale>=1)return n;v.push(n)}(d||p)&&((n=b(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n)),(d||f)&&((n=_(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n));for(var x=0,w=0,k=0;k<v.length;k++){var T=v[k].scale;if(w<T&&(w=T,x=k),!d&&w>=1)break}return v[x]}function b(t,e,r,n,a){var i=t.width/t.height,o=T(i,n,e,r);return{scale:2*o/t.height,rCenter:w(i,o/e),rotate:k(a)}}function _(t,e,r,n,a){var i=t.height/t.width,o=T(i,n,e,r);return{scale:2*o/t.width,rCenter:w(i,o/e),rotate:k(a+Math.PI/2)}}function w(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function T(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function M(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function A(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function S(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=E(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function E(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 L(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 C(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=E(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=E(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function P(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function O(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),d=u(\"value\"),v=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=p.getFirstFilled(a.text,e.pts);g(y)&&s.push(y)}d&&s.push(p.formatPieValue(e.v,m)),v&&s.push(p.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:p.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:p.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=p.getFirstFilled(a.text,e.pts);(g(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function z(t,e){var r=t.rotate,n=t.scale;n>1&&(n=1);var a=r*Math.PI/180,i=Math.cos(a),o=Math.sin(a),s=(e.left+e.right)/2,l=(e.top+e.bottom)/2;t.textX=s*i-l*o,t.textY=s*o+l*i,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),y(e,t),C(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],d=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=P(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=P(i,s),r.midangle=s,s+=l*r.v/2,n=P(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=M(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var y=[[[],[]],[[],[]]],b=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=d.index,y[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),d.pull){var w=+p.castOption(d.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=d.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var S=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+S*a.px0[0]+\",\"+S*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}O(t,a,f);var E=p.castOption(d.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=p.castOption(t.outsidetextfont.color,e.pts)||p.castOption(t.textfont.color,e.pts)||r.color,a=p.castOption(t.outsidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.outsidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(d,a,r.font):m(d,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var y,_=s.bBox(g.node());if(\"outside\"===E)y=A(_,a);else if(y=x(_,a,f),\"auto\"===E&&y.scale<1){var w=l.ensureUniformFontSize(t,d.outsidetextfont);g.call(s.font,w),y=A(_=s.bBox(g.node()),a)}var k=y.textPosAngle,T=void 0===k?a.pxmid:P(f.r,k);if(y.targetX=o+T[0]*y.rCenter+(y.x||0),y.targetY=u+T[1]*y.rCenter+(y.y||0),z(y,_),y.outside){var M=y.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,b=!0}y.fontSize=v.size,h(d.type,y,r),e[i].transform=y,g.attr(\"transform\",l.getTextTransform(y))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(d.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=d.title.text;d._meta&&(a=l.templateString(a,d._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,d.title.font).call(c.convertToTspans,t),e=\"middle center\"===d.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}}(f):S(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),b&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,d,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,d,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(p.castOption(e.pull,t.pts)||0)>=(p.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),d=u.cxFinal+i(u.px0[0],u.px1[0]),(g=d+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),d=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&d.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<d.length;f++){var x=f&&d[f-1];g&&!f&&(x=g),y(d[f],x)}}}(y,d),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,d),b&&d.automargin){var w=s.bBox(u.node()),k=d.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),E=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+d.uid+\".automargin\",{xl:k.x[0]-E,xr:k.x[1]+E,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:O,transformInsideText:x,determineInsideTextFont:m,positionTitleOutside:S,prerenderTitles:y,layoutAreas:C,attachFxHandlers:v,computeTransform:z}},{\"../../components/color\":592,\"../../components/drawing\":613,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each(function(t){n.select(this).call(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":592,\"./helpers\":1099}],1106:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:i.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]})},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:i.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:u(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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a=n._has&&n._has(\"sankey\"),i=e._has&&e._has(\"sankey\");a&&!i&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{\"../../components/dragelement\":610,\"../../components/fx/layout_attributes\":631,\"../../lib\":717,\"../../lib/setcursor\":737,\"../../plot_api/edit_types\":748,\"../../plots/cartesian/select\":782,\"../../plots/get_data\":800,\"../../registry\":846,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),a=t(\"../../lib\"),i=t(\"../../lib/gup\").wrap,o=a.isArrayOrTypedArray,s=a.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,i=t.link,c=[],u=o(i.color),h={},f={},p=i.colorscales.length;for(e=0;e<p;e++){var d=i.colorscales[e],g=l.extractScale(d,{cLetter:\"c\"}),v=l.makeColorScaleFunc(g);f[d.label]=v}var 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function(t,e,r){for(var i=a.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(a.isIndex(e[o],t)&&a.isIndex(r[o],t)){if(e[o]===r[o])return!0;i[e[o]].push(r[o])}return n(i).components.some(function(t){return t.length>1})}(P,M.source,M.target)&&(D=!0),{circular:D,links:c,nodes:z,groups:b,groupLookup:_}}e.exports=function(t,e){var r=c(e);return i({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gup\":715,\"strongly-connected-components\":529}],1113:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"./render\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../lib\"),l=t(\"./constants\").cn,c=s._;function u(t){return\"\"!==t}function h(t,e){return t.filter(function(t){return t.key===e.traceId})}function f(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function p(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function m(t,e,r){e&&r&&h(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var 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y=i.loneHover({x0:d,x1:g,y:v,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,T+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(m,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":592,\"../../components/fx\":630,\"../../lib\":717,\"./constants\":1113,\"./render\":1117,d3:165}],1117:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,v=t(\"d3-interpolate\").interpolateNumber,m=t(\"../../registry\");function y(){var t=.5;return function(e){if(e.link.circular)return r=e.link,n=r.width/2,a=r.circularPathData,\"top\"===r.circularLinkType?\"M \"+a.targetX+\" \"+(a.targetY+n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 1 \"+(a.rightFullExtent-n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 1 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 0 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 0 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"L\"+a.targetX+\" \"+(a.targetY-n)+\"Z\":\"M \"+a.targetX+\" \"+(a.targetY-n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 0 \"+(a.rightFullExtent-n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 0 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 1 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 1 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"L\"+a.targetX+\" \"+(a.targetY+n)+\"Z\";var r,n,a,i=e.link.source.x1,o=e.link.target.x0,s=v(i,o),l=s(t),c=s(1-t),u=e.link.y0-e.link.width/2,h=e.link.y0+e.link.width/2,f=e.link.y1-e.link.width/2,p=e.link.y1+e.link.width/2;return\"M\"+i+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+f+\" \"+o+\",\"+f+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"Z\"}}function x(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"})}function b(t){t.call(x)}function _(t,e){t.call(b),e.attr(\"d\",y())}function w(t){t.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function k(t){return t.link.width>1||t.linkLineWidth>0}function T(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function M(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function 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P(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)}).on(\"click.basic\",function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)})}function O(t,e,r,i){var o=a.behavior.drag().origin(function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}}).on(\"dragstart\",function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",function(t){i._fullLayout._dragCover=t}),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,I(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter(function(t){return t.originalX===r.node.originalX}).filter(function(t){return!t.partOfGroup});r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame(function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();var l=r.graph.nodes;if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(l),r.sankey.update(r.graph),_(t.filter(D(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var 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i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}m.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then(function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()})}function I(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function D(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,u,f){var v=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",function(){v=!0});var m=t._fullLayout._dragCover,b=r.filter(function(t){return g(t).trace.visible}).map(function(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,v=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[v,m]:[m,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,k,T=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<T.nodes.length;_++)if(T.nodes[_].pointNumber===S){A=T.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};T.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<T.nodes.length;_++){var t,e,r=T.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,T.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var L=[s.node.x[_]*v,s.node.y[_]*m];T.nodes[_].x0=L[0]-d/2,T.nodes[_].x1=L[0]+d/2;var C=T.nodes[_].y1-T.nodes[_].y0;T.nodes[_].y0=L[1]-C/2,T.nodes[_].y1=L[1]+C/2}\"snap\"===s.arrangement&&function(t){t.forEach(function(t){var e,r,n,a=0,i=t.length;for(t.sort(function(t,e){return t.y0-e.y0}),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p})}(function(t){var e,r,n=t.map(function(t,e){return{x0:t.x0,index:e}}).sort(function(t,e){return t.x0-e.x0}),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=T.nodes)),a.update(T)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:v,height:m,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:v,dragPerpendicular:f?v:m,arrangement:s.arrangement,sankey:a,graph:T,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,u)),_=e.selectAll(\".\"+n.cn.sankey).data(b,p);_.exit().remove(),_.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",T),_.each(function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),_.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}).style(\"stroke-width\",function(t){return k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use 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n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":613,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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v=h(\"lon\")||[],m=h(\"lat\")||[];f=Math.min(v.length,m.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1161}],1164:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130,\"./attributes\":1161}],1167:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,h=t(\"../scatter/subtypes\"),f=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,a=t[0].trace,o=e[a.geo],h=o._subplot,f=a._length;if(Array.isArray(a.locations)){var p=a.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):i(a,h.topojson);for(r=0;r<f;r++){n=t[r];var g=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var v,m,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===a.locationmode){var x=s.computeBbox(s.getTraceGeojson(a));v=[x[0],x[2]],m=[x[1],x[3]]}else{for(v=new Array(f),m=new 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r,i,o,s,l,c=t.cd,u=t.xaxis,h=t.yaxis,f=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return[];if(!1===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(i=(r=c[l]).lonlat)[0]!==a&&(o=u.c2p(i),s=h.c2p(i),e.contains([o,s],null,l,t)?(f.push({pointNumber:l,lon:i[0],lat:i[1]}),r.selected=1):r.selected=0);return f}},{\"../../constants/numerical\":693,\"../scatter/subtypes\":1144}],1170:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../components/color\"),o=t(\"../scatter/style\"),s=o.stylePoints,l=o.styleText;e.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style(\"opacity\",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../scatter/attributes\":1120,\"./constants\":1173}],1172:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(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]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),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,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS?\"rect\":h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":613,\"../../components/fx/helpers\":627,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":534}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":592,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,k=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(k.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=k}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}}),v.fill2d.update(v.fillOptions))}var T=g.dragmode,M=\"lasso\"===T||\"select\"===T,A=g.clickmode.indexOf(\"select\")>-1;for(p=0;p<x;p++){var S=r[p][0],E=S.trace,L=S.t,C=L.index,P=E._length,O=L.x,z=L.y;if(E.selectedpoints||M||A){if(M||(M=!0),E.selectedpoints){var I=v.selectBatch[C]=s.selIndices2selPoints(E),D={};for(d=0;d<I.length;d++)D[I[d]]=1;var R=[];for(d=0;d<P;d++)D[d]||R.push(d);v.unselectBatch[C]=R}var F=L.xpx=new Array(P),B=L.ypx=new Array(P);for(d=0;d<P;d++)F[d]=m.c2p(O[d]),B[d]=y.c2p(z[d])}else L.xpx=L.ypx=null}if(M){if(v.select2d||(v.select2d=n(g._glcanvas.data()[1].regl)),v.scatter2d){var N=new Array(x);for(p=0;p<x;p++)N[p]=v.selectBatch[p].length||v.unselectBatch[p].length?v.markerUnselectedOptions[p]:{};v.scatter2d.update(N)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach(function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)})}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var j={viewport:f(g,m,y),range:[(m._rl||m.range)[0],(y._rl||y.range)[0],(m._rl||m.range)[1],(y._rl||y.range)[1]]},V=s.repeat(j,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach(function(t){t.update(j)})}else v.init()}}},{\"../../lib\":717,\"../../lib/prepare_regl\":730,\"../scatter/link_traces\":1136,\"../scatter/subtypes\":1144,\"./edit_style\":1176,\"gl-text\":319,\"regl-error2d\":492,\"regl-line2d\":493,\"regl-scatter2d\":499}],1182:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use 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n=t(\"../../registry\"),a=t(\"../../components/grid\");e.exports={moduleType:\"trace\",name:\"splom\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"./select\"),editStyle:t(\"./edit_style\"),meta:{}},n.register(a)},{\"../../components/grid\":634,\"../../registry\":846,\"../scatter/marker_colorbar\":1138,\"./attributes\":1215,\"./base_plot\":1216,\"./calc\":1217,\"./defaults\":1218,\"./edit_style\":1219,\"./hover\":1221,\"./plot\":1223,\"./select\":1225}],1223:[function(t,e,r){\"use strict\";var n=t(\"regl-splom\"),a=t(\"../../lib\"),i=t(\"../../plots/cartesian/axis_ids\");function o(t,e){var 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.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:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},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 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var 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0},{\"../../components/color\":592,\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":600}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(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 d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.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),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},d.update=function(t){var e,r,n,i,s=this.scene,p=s.fullSceneLayout,d=this.surface,g=t.opacity,v=l(t,g),m=s.dataScale,y=t.z[0].length,x=t._ylength,b=s.contourLevels;this.data=t;var _=[];for(e=0;e<3;e++)for(_[e]=[],r=0;r<y;r++)_[e][r]=[];for(r=0;r<y;r++)for(n=0;n<x;n++)_[0][r][n]=this.getXat(r,n,t.xcalendar,p.xaxis),_[1][r][n]=this.getYat(r,n,t.ycalendar,p.yaxis),_[2][r][n]=this.getZat(r,n,t.zcalendar,p.zaxis);if(t.connectgaps)for(t._emptypoints=f(_[2]),h(_[2],t._emptypoints),t._interpolatedZ=[],r=0;r<y;r++)for(t._interpolatedZ[r]=[],n=0;n<x;n++)t._interpolatedZ[r][n]=_[2][r][n];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null==(i=_[e][r][n])?_[e][r][n]=NaN:i=_[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(_[e][r][n]-=this.objectOffset[e]);var k=[a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x])];o(k[0],function(t,e){return _[0][t][e]}),o(k[1],function(t,e){return _[1][t][e]}),o(k[2],function(t,e){return _[2][t][e]}),_=[];var T={colormap:v,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:t.opacity},M=u(t);if(T.intensityBounds=[M.min,M.max],t.surfacecolor){var A=a(new Float32Array(y*x),[y,x]);o(A,function(e,r){return t.surfacecolor[r][e]}),k.push(A)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(w<k[0].shape[0]||w<k[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(k[0].shape[0],0),this.dataScaleY=this.estimateScale(k[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(k)),t.surfacecolor&&(T.intensity=k.pop());var S=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var L=t.contours[E[e]];S[e]=L.highlight,T.showContour[e]=L.show||L.highlight,T.showContour[e]&&(T.contourProject[e]=[L.project.x,L.project.y,L.project.z],L.show?(this.showContour[e]=!0,T.levels[e]=b[e],d.highlightColor[e]=T.contourColor[e]=c(L.color),L.usecolormap?d.highlightTint[e]=T.contourTint[e]=0:d.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=L.width,this.contourStart[e]=L.start,this.contourEnd[e]=L.end,this.contourSize[e]=L.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),L.highlight&&(T.dynamicColor[e]=c(L.highlightcolor),T.dynamicWidth[e]=L.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]})(v)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=k,d.update(T),d.visible=t.visible,d.enableDynamic=S,d.enableHighlight=S,d.snapToData=!0,\"lighting\"in t&&(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),g&&g<1&&(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new p(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../heatmap/find_empties\":1006,\"../heatmap/interp2d\":1009,\"gl-surface3d\":318,ndarray:452,\"ndarray-fill\":442,\"ndarray-homography\":444}],1246:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r){e in t&&!(r in 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m=f(\"pathbar.visible\");s(t,e,c,f,\"auto\",{hasPathbar:m,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),f(\"textposition\");var y=-1!==e.textposition.indexOf(\"bottom\");f(\"marker.line.width\")&&f(\"marker.line.color\",c.paper_bgcolor);var x=f(\"marker.colors\"),b=e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;b?h(t,e,c,f,{prefix:\"marker.\",cLetter:\"c\"}):f(\"marker.depthfade\",!(x||[]).length);var _=2*e.textfont.size;f(\"marker.pad.t\",y?_/4:_),f(\"marker.pad.l\",_/4),f(\"marker.pad.r\",_/4),f(\"marker.pad.b\",y?_:_/4),b&&h(t,e,c,f,{prefix:\"marker.\",cLetter:\"c\"}),e._hovered={marker:{line:{width:2,color:i.contrast(c.paper_bgcolor)}}},m&&(f(\"pathbar.thickness\",e.pathbar.textfont.size+2*l),f(\"pathbar.side\"),f(\"pathbar.edgeshape\")),o(e,c,f),e._length=null}else 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d=a.ensureSingle(f,\"g\",\"slicetext\"),k=a.ensureSingle(d,\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),E=a.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));k.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(i.font,E).call(o.convertToTspans,t),s.textBB=i.bBox(k.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?k.transition().attrTween(\"transform\",function(t){var e=M(t,!0,A,[g,v]);return function(t){return _(e(t))}}):k.attr(\"transform\",_(s))})}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../sunburst/fx\":1236,\"../sunburst/helpers\":1237,\"./constants\":1260,\"./partition\":1267,\"./style\":1269,d3:165}],1263:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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  {
   "cell_type": "code",
   "execution_count": 10,
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>562.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>562.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>00569f44-917d-4c86-a842-81832af98c30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>006cec2e-6ce2-4549-bffa-eadfcd1e9970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              patientId      x      y  width  height  Target  \\\n",
       "0  0004cfab-14fd-4e49-80ba-63a80b6bddd6    NaN    NaN    NaN     NaN       0   \n",
       "1  00313ee0-9eaa-42f4-b0ab-c148ed3241cd    NaN    NaN    NaN     NaN       0   \n",
       "2  00322d4d-1c29-4943-afc9-b6754be640eb    NaN    NaN    NaN     NaN       0   \n",
       "3  003d8fa0-6bf1-40ed-b54c-ac657f8495c5    NaN    NaN    NaN     NaN       0   \n",
       "4  00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1   \n",
       "5  00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1   \n",
       "6  00436515-870c-4b36-a041-de91049b9ab4  562.0  152.0  256.0   453.0       1   \n",
       "7  00436515-870c-4b36-a041-de91049b9ab4  562.0  152.0  256.0   453.0       1   \n",
       "8  00569f44-917d-4c86-a842-81832af98c30    NaN    NaN    NaN     NaN       0   \n",
       "9  006cec2e-6ce2-4549-bffa-eadfcd1e9970    NaN    NaN    NaN     NaN       0   \n",
       "\n",
       "                          class  \n",
       "0  No Lung Opacity / Not Normal  \n",
       "1  No Lung Opacity / Not Normal  \n",
       "2  No Lung Opacity / Not Normal  \n",
       "3                        Normal  \n",
       "4                  Lung Opacity  \n",
       "5                  Lung Opacity  \n",
       "6                  Lung Opacity  \n",
       "7                  Lung Opacity  \n",
       "8  No Lung Opacity / Not Normal  \n",
       "9  No Lung Opacity / Not Normal  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data = train_labels_data.merge(class_info_data, left_on='patientId', right_on='patientId', how='inner')\n",
    "train_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Target  class                       \n",
       "0       No Lung Opacity / Not Normal    11821\n",
       "        Normal                           8851\n",
       "1       Lung Opacity                    16957\n",
       "Name: class, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.groupby('Target')['class'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>target</th>\n",
       "      <th>class</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>11821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>8851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>16957</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target                         class  count\n",
       "0       0  No Lung Opacity / Not Normal  11821\n",
       "1       0                        Normal   8851\n",
       "2       1                  Lung Opacity  16957"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_distribution = pd.DataFrame(data=train_data.groupby('Target')['class'].value_counts().values, index=train_data.groupby('Target')['class'].value_counts().index).reset_index()\n",
    "target_distribution.columns = ['target', 'class', 'count']\n",
    "target_distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe that all observations with target = 1 are associated with lung opacities."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Detecting lung opacity window"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the class lung opacity, corresponding to target = 1, we plot the density of x, y, width and height."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16957, 7)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_dataset = train_data[train_data['Target']==1]\n",
    "target_dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patientId</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>Target</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>562.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>562.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>256.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>00704310-78a8-4b38-8475-49f4573b2dbb</td>\n",
       "      <td>323.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               patientId      x      y  width  height  Target  \\\n",
       "4   00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1   \n",
       "5   00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1   \n",
       "6   00436515-870c-4b36-a041-de91049b9ab4  562.0  152.0  256.0   453.0       1   \n",
       "7   00436515-870c-4b36-a041-de91049b9ab4  562.0  152.0  256.0   453.0       1   \n",
       "10  00704310-78a8-4b38-8475-49f4573b2dbb  323.0  577.0  160.0   104.0       1   \n",
       "\n",
       "           class  \n",
       "4   Lung Opacity  \n",
       "5   Lung Opacity  \n",
       "6   Lung Opacity  \n",
       "7   Lung Opacity  \n",
       "10  Lung Opacity  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "patientId    0\n",
       "x            0\n",
       "y            0\n",
       "width        0\n",
       "height       0\n",
       "Target       0\n",
       "class        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_dataset.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('12c61c0f-3373-479b-b12a-53e118e3328b');\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",
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       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "fig = make_subplots(rows=3, cols=2)\n",
    "fig.add_trace(go.Histogram(x=target_dataset['x'], name='x'), row=1, col=1)\n",
    "fig.add_trace(go.Histogram(x=target_dataset['y'], name='y'), row=1, col=2)\n",
    "fig.add_trace(go.Histogram(x=target_dataset['width'], name='width'), row=2, col=1)\n",
    "fig.add_trace(go.Histogram(x=target_dataset['height'], name='height'), row=2, col=2)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_sample = target_dataset.sample(2000)\n",
    "target_sample['xc'] = target_sample['x'] + target_sample['width']/2\n",
    "target_sample['yc'] = target_sample['y'] + target_sample['height']/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('fa9f9b62-052a-4a69-bffb-8116cf9863ed');\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",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=target_sample['xc'], y=target_sample['yc'], mode='markers'))\n",
    "fig.update_layout(\n",
    "    shapes=[\n",
    "        dict(\n",
    "            type='circle',\n",
    "            xref='x',\n",
    "            yref='y',\n",
    "            x0=min(target_sample['xc']),\n",
    "            y0=min(target_sample['yc']),\n",
    "            x1=500,\n",
    "            y1=max(target_sample['yc']),\n",
    "            opacity=0.2,\n",
    "            fillcolor=\"yellow\",\n",
    "            line_color=\"yellow\",\n",
    "        ),\n",
    "        dict(\n",
    "            type='circle',\n",
    "            xref='x',\n",
    "            yref='y',\n",
    "            x0=550,\n",
    "            y0=min(target_sample['yc']),\n",
    "            x1=max(target_sample['xc']),\n",
    "            y1=max(target_sample['yc']),\n",
    "            opacity=0.2,\n",
    "            fillcolor=\"yellow\",\n",
    "            line_color=\"yellow\",\n",
    "        )])\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### DICOM Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of images in the train set: 26684\n",
      "Number of images in the test set: 3000\n"
     ]
    }
   ],
   "source": [
    "train_image_path = os.listdir('stage_2_train_images')\n",
    "test_image_path = os.listdir('stage_2_test_images')\n",
    "print('Number of images in the train set:', len(train_image_path))\n",
    "print('Number of images in the test set:', len(test_image_path))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique patient ids in train set: 26684\n"
     ]
    }
   ],
   "source": [
    "print('Number of unique patient ids in train set:', train_data['patientId'].nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the number of unique patient ids is equal to the number of images in the training set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patientId</th>\n",
       "      <th>Target</th>\n",
       "      <th>class</th>\n",
       "      <th>exams</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000924cf-0f8d-42bd-9158-1af53881a557</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
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       "      <th>2</th>\n",
       "      <td>000db696-cf54-4385-b10b-6b16fbb3f985</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>4</td>\n",
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       "                              patientId  Target                         class  \\\n",
       "0  0004cfab-14fd-4e49-80ba-63a80b6bddd6       0  No Lung Opacity / Not Normal   \n",
       "1  000924cf-0f8d-42bd-9158-1af53881a557       0                        Normal   \n",
       "2  000db696-cf54-4385-b10b-6b16fbb3f985       1                  Lung Opacity   \n",
       "3  000fe35a-2649-43d4-b027-e67796d412e0       1                  Lung Opacity   \n",
       "4  001031d9-f904-4a23-b3e5-2c088acd19c6       1                  Lung Opacity   \n",
       "\n",
       "   exams  \n",
       "0      1  \n",
       "1      1  \n",
       "2      4  \n",
       "3      4  \n",
       "4      4  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = train_data.groupby(['patientId', 'Target', 'class'])['patientId'].count()\n",
    "df = pd.DataFrame(data={'exams': temp.values}, index=temp.index).reset_index()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>exams</th>\n",
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       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>11821</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>8851</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>2614</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
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       "      <th>4</th>\n",
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       "      <td>119</td>\n",
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       "      <th>5</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>13</td>\n",
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       "   exams  target                         class  entries\n",
       "0      1       0  No Lung Opacity / Not Normal    11821\n",
       "1      1       0                        Normal     8851\n",
       "2      1       1                  Lung Opacity     2614\n",
       "3      4       1                  Lung Opacity     3266\n",
       "4      9       1                  Lung Opacity      119\n",
       "5     16       1                  Lung Opacity       13"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp2 = df.groupby(['exams', 'Target', 'class']).count()\n",
    "df2 = pd.DataFrame(data=temp2.values, index=temp2.index).reset_index()\n",
    "df2.columns = ['exams', 'target', 'class', 'entries']\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
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{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, 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{\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"target\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"entries\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('57e0a7c8-c5cc-4597-a145-559c2de276b4');\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",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(df2, x='target', y='entries', color='exams')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe that as the number of exams increase the more number of lung opacities are detected."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### DICOM metadata processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset.file_meta -------------------------------\n",
       "(0002, 0000) File Meta Information Group Length  UL: 202\n",
       "(0002, 0001) File Meta Information Version       OB: b'\\x00\\x01'\n",
       "(0002, 0002) Media Storage SOP Class UID         UI: Secondary Capture Image Storage\n",
       "(0002, 0003) Media Storage SOP Instance UID      UI: 1.2.276.0.7230010.3.1.4.8323329.18237.1517874409.393461\n",
       "(0002, 0010) Transfer Syntax UID                 UI: JPEG Baseline (Process 1)\n",
       "(0002, 0012) Implementation Class UID            UI: 1.2.276.0.7230010.3.0.3.6.0\n",
       "(0002, 0013) Implementation Version Name         SH: 'OFFIS_DCMTK_360'\n",
       "-------------------------------------------------\n",
       "(0008, 0005) Specific Character Set              CS: 'ISO_IR 100'\n",
       "(0008, 0016) SOP Class UID                       UI: Secondary Capture Image Storage\n",
       "(0008, 0018) SOP Instance UID                    UI: 1.2.276.0.7230010.3.1.4.8323329.18237.1517874409.393461\n",
       "(0008, 0020) Study Date                          DA: '19010101'\n",
       "(0008, 0030) Study Time                          TM: '000000.00'\n",
       "(0008, 0050) Accession Number                    SH: ''\n",
       "(0008, 0060) Modality                            CS: 'CR'\n",
       "(0008, 0064) Conversion Type                     CS: 'WSD'\n",
       "(0008, 0090) Referring Physician's Name          PN: ''\n",
       "(0008, 103e) Series Description                  LO: 'view: PA'\n",
       "(0010, 0010) Patient's Name                      PN: '4699eae3-390a-4a76-9be0-7646d1a36425'\n",
       "(0010, 0020) Patient ID                          LO: '4699eae3-390a-4a76-9be0-7646d1a36425'\n",
       "(0010, 0030) Patient's Birth Date                DA: ''\n",
       "(0010, 0040) Patient's Sex                       CS: 'F'\n",
       "(0010, 1010) Patient's Age                       AS: '15'\n",
       "(0018, 0015) Body Part Examined                  CS: 'CHEST'\n",
       "(0018, 5101) View Position                       CS: 'PA'\n",
       "(0020, 000d) Study Instance UID                  UI: 1.2.276.0.7230010.3.1.2.8323329.18237.1517874409.393460\n",
       "(0020, 000e) Series Instance UID                 UI: 1.2.276.0.7230010.3.1.3.8323329.18237.1517874409.393459\n",
       "(0020, 0010) Study ID                            SH: ''\n",
       "(0020, 0011) Series Number                       IS: \"1\"\n",
       "(0020, 0013) Instance Number                     IS: \"1\"\n",
       "(0020, 0020) Patient Orientation                 CS: ''\n",
       "(0028, 0002) Samples per Pixel                   US: 1\n",
       "(0028, 0004) Photometric Interpretation          CS: 'MONOCHROME2'\n",
       "(0028, 0010) Rows                                US: 1024\n",
       "(0028, 0011) Columns                             US: 1024\n",
       "(0028, 0030) Pixel Spacing                       DS: [0.14300000000000002, 0.14300000000000002]\n",
       "(0028, 0100) Bits Allocated                      US: 8\n",
       "(0028, 0101) Bits Stored                         US: 8\n",
       "(0028, 0102) High Bit                            US: 7\n",
       "(0028, 0103) Pixel Representation                US: 0\n",
       "(0028, 2110) Lossy Image Compression             CS: '01'\n",
       "(0028, 2114) Lossy Image Compression Method      CS: 'ISO_10918_1'\n",
       "(7fe0, 0010) Pixel Data                          OB: Array of 128836 elements"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(95)\n",
    "sample_patientId = train_data.loc[np.random.randint(0, len(target_dataset), 1), 'patientId'].values[0]\n",
    "sample_patientId = sample_patientId + '.dcm'\n",
    "dicom_file_path = os.path.join('stage_2_train_images/', sample_patientId)\n",
    "dicom_file = dcm.read_file(dicom_file_path)\n",
    "dicom_file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting DICOM images with target = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def showDicomImages(df):\n",
    "    fig, ax = plt.subplots(3, 3, figsize=(16, 18))\n",
    "    for i in df.index:\n",
    "        patient_image = df.loc[i, 'patientId'] + '.dcm'\n",
    "        image_path = os.path.join('stage_2_train_images', patient_image)\n",
    "        image_data = dcm.read_file(image_path)\n",
    "        modality = image_data.Modality\n",
    "        age = image_data.PatientAge\n",
    "        sex = image_data.PatientSex\n",
    "        image = dcm.dcmread(image_path)\n",
    "        ax[i//3, i%3].imshow(image.pixel_array, cmap=plt.cm.bone)\n",
    "        ax[i//3, i%3].axis('off')\n",
    "        ax[i//3, i%3].set_title('ID: {}\\nModality: {} Age: {} Sex: {} Target: {}\\nClass: {}\\nWindow: {}:{}:{}:{}'.format(\n",
    "                                 df.loc[i, 'patientId'], modality, age, sex, df.loc[i, 'Target'], df.loc[i, 'class'], df.loc[i, 'x'],\n",
    "                                 df.loc[i, 'y'], df.loc[i, 'width'], df.loc[i, 'height']))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(95)\n",
    "sample_image_data = target_dataset.sample(9).reset_index().drop(['index'], axis=1)\n",
    "showDicomImages(sample_image_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "def showDicomImagesWithBoxes(df):\n",
    "    fig, ax = plt.subplots(3, 3, figsize=(16, 18))\n",
    "    for i in df.index:\n",
    "        patient_id = df.loc[i, 'patientId']\n",
    "        patient_image = patient_id + '.dcm'\n",
    "        image_path = os.path.join('stage_2_train_images', patient_image)\n",
    "        image_data = dcm.read_file(image_path)\n",
    "        modality = image_data.Modality\n",
    "        age = image_data.PatientAge\n",
    "        sex = image_data.PatientSex\n",
    "        image = dcm.dcmread(image_path)\n",
    "        ax[i//3, i%3].imshow(image.pixel_array, cmap=plt.cm.bone)\n",
    "        ax[i//3, i%3].axis('off')\n",
    "        ax[i//3, i%3].set_title('ID: {}\\nModality: {} Age: {} Sex: {} Target: {}\\nClass: {}\\nWindow: {}:{}:{}:{}'.format(\n",
    "                                 patient_id, modality, age, sex, df.loc[i, 'Target'], df.loc[i, 'class'], df.loc[i, 'x'],\n",
    "                                 df.loc[i, 'y'], df.loc[i, 'width'], df.loc[i, 'height']))\n",
    "        box_data = train_data[train_data['patientId']==patient_id]\n",
    "        for j in box_data.index:\n",
    "            ax[i//3, i%3].add_patch(Rectangle(xy=(box_data.loc[j, 'x'], box_data.loc[j, 'y']), width=box_data.loc[j, 'width'],\n",
    "                                             height=box_data.loc[j, 'height'], color='yellow', alpha=0.1))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dAw09ua3t+6dQj7ZX2LYT7T75H1QBeAxqhX/dhPH/X+D3g/UX8gBvZwQvatsuJLCM2/vtYy1PqPXoevT9XgC/PmEMsR3zA4O+Q8vma+19HGvn9qv2Pm+z3r4Yav+jza554B7A3gntHwd+e8Tva3hqlPf9EDXf802sNXiDY/lL9zxYn8fasnUybg4YQXdRq7NBBesO6nl4I/AzI85/DsrDubC1SXR3Q/wo69PdNXLUpM9WWTZPQjf5AcMY811jzDXGmNIY8yV0Azvr3GnA/W1g6rzVejwd3TSIyP1FA9FvtNa056MPf/gaXWPMh4CXi8hZ9ucTUfO6wxVjhvhMlDj/ZMz4l1GN0ntFk/mcGgbbbmIqEJEX2us91hjTG2rrAJ9CX6h/GjSNvQ8ZTOjjtPd/CfyJMWbfOmN5I6oxfIqxK20Iz2KEtdfBGHM1KkRdYPsLg82dRupVqFXvFHQhvxr4T6u5CvsqjTEXoUyGs3yfBrxkaG2cYudjCSVOIeZQa+twQpunr3f8fmAVfcm+0xiTG2MuQJ/RQGD1mDkeeJ52fYXa+0lzdiD3cYzt70fDDVbD+gbRQPgFag3tMUPHPRjdm/+wgesdidgvujdMI9AXf8J4+nMKI57DOm2bevYbeKYvQtfxD1Dh7UPoyw0ReWWwf9Zo040xP0A1rm8dcw8jISIPQLW8v2hqS9Jp6Avy2mCfvx21xg4nNzhbRB6Hvrw/vB/XCvFE9Fl/bkIfYVKFU40x30fp4l+jgs4xKKPi5u2OIvJPVmu9gCoY3Hxv+PkZY/agSqpPiEgyhs5vCEbxTfRZv3ro/o5F49Heat+fIUIaVdl7PBFdn1cYY4oxl7x66J1xhT0vxNi5388xEfy+pe+SowiboW2vRl1XR/JEBwJjzHWWJ6xs/7/HoLfW01FB4CpUSfAB7P5inWdljPmxMeYntu9LUKuk63vV/n2LMeZaY8xNaIzbY2AtzyDqYfZI4C/G3MokGg5raX8KHCMid0ZdwZ+JKqzuCvyeiDzWjmOA5qBC2cXGmC+Puc7rUMHsW6j758dRReeAZWrMvgjxTAIvtlF8rohMicjbRRPfLKCKgu3W6oaInCsiXxH1YpxH53YUvz78vgR91m3UCjmNKkI/Y/td8z5aRzaYyGMd4DqZOAfBNUbRXdf3nxhjVo16Hl7g+g7m/gnAG4Bz7fVhMt3dED/KOu+8MXLUWGyVsPkLaDzJwYChNvtfBXzOGLM9+MwYY9xm+CBq1j3FGLMNXaCytkuPFNVagDIDpwRtp445Z2CTjUGEagVOMsZcacc4Y2q3q3UhIr+Kxhk9whize6ithRKJq1FXnxBj78MY84VgLM6V5BHAGy3D40ogfFkGs5a+GnW7e5QxZmHEWE9BtfeTXCpAGeoz7Fg+EIzlXNt+Fup+utsYUxhj3o36rY/L4Oj7Q9fG64bWxpTdDJcBiYjcITj3LKzLgTHm3GAsH1jv+P3Axeg6HosJczzwPK0QuWtoXOPm7EDu4ybUTWKUe+DTUBe1R6Lxc6e74Q0d9yw0aH9TSpYjCAdC9zyNQDWQBePpz1WMfg6T2r4D3E4Gs7hOevYTn6kxZo8x5unGmBMs7YhQKxTGmNcH++f5a7sGBvfquhAtI/JJ4FeNMZ8Nmq5CLZvHBPt8ztEzY8xdg7F8AaVv9wno21OBF4vIJzZwrRATlWn22jPB50r72z8YY+5mjNmFKoZOQ2OuQBmm7wN3MMbMoXGwbg9t9vklqMA9N4bObxYDz0tEdqBC3SeNMa8bcXxIoyKUSb0GfV6nyvgsiSeJSEg3TrXnhRg59wcwplHYknfJUYTN0LZHAC8K9tgpwEdE5PcPwrhCfhBjzBXGmJ8zxhxrjLk/+m78b9v8HeDuQ+vr7ox/Vr5vY8xeVGgdpzwf5hnOQWnmlXYOXgo8SUS+YU+ZRMNhLe3P0Xfw3VBL7b9aYedS4J9RXmEUzXkE8AvBs/hp4M9F5K/t8avGmBcaY04yxtwOFaq+bowpx4xrDd0WzT56IoESeQyf+xI07vP+lr49pO5CWsD/Q0N1jjfGbEfddcfx6+H7EnTPvdu+l3qodft+InLMmPfRJNlgPR5rGBteJ5PmYMzx4Xy7sLax7xwReTTwDuBxRgVhh0l0d11+1GLdd55FKEeNh1nf3Hw54zOX3RZ9yEvAT63XV9BnC9VK7EbdPNvUboOPR5llQRMoXI0106IuXFegLkap/dwXuIttvyE49n72+/vt9wegbgEZapL+fVTD5TL6/Rkqwe9AX0oXM+Rmhm7cZYbci1D3q3vaOZlD/e2vwWaN2o85eDqaqOMuI85LUYvmxxltIn8Bqj0/2d7LZ5nsRnscan1yH2PnyiWCeQVqzbjNhHt5JRrzOfz701HCKSiT9TkmZAxDmbGLUFe5yD7nZdSl7zjU3D9j5/lnbdvj7bn3QTfY/e31plHffOeScAFqjZlGNTj7mJyNduLx6zy/8xh0odmJuuc9y479F1GN0THrzTGqyVyiXrtvQgWTR643Z1twH39j149za3+gPf43Uc3onO33razNYtxBXTMevlG6cDh92GK6xzo0AtVeX4C+UM+0z8NdcxZ9Ib7Yzv8s+vICjQG6GHVVFZSZcklSvmLXSxtlHueps5meQ0Df1num6Atwlx3/uSgjNGn/PJc6+dqZKIP35iE61kaZgNfa/53b2N1Qt7Gnjun7E6jHyxy65s8AHjrm2FkG6duHUevDzo1cyx5zMrrn1iRqGF73I9rvbefsWHvtDwZt/426cAnqcnspg0mhJj2/J1JnBTwWTUryjXHjsOe07bM19ly39iJUaRm+d68FXmTb5+xY/3pMv+ehzPETUWbpd9H9k9p7/7a9j2k7hgcF+6oAftse+2TUbWvXenN/gGO6Rd8lh9uHradtuxjcY1fZZzkTrK82SjeusP9nG6QF51DzEKegSWneFZx7F3SPZ8CvoHTJ7RGXjfa3Ubr5Qgaz0Z6LCjqg++9/CUKyUAvW1+x62YEK368ZMwdTQ3PwJlQYc2O5H7p/H0GdsfTOtu1ClN6fafv5KJZOoLRtCXi4nYMz0NCUka60KK8UjuNL6NrfZttPQt/ngvJ5V6EKblhnXwTX+DtUCFlvXZyPWhvbKA/0j1he1D6zEnVNF/ssVrAhDqz/vnwXKqxuQ9fPK1EviXFjmSQbrMdj7fc6WWcOJtJde/7nUc+dFrrWb6BOMPdwVFnwkBH3O4nuTuRHzWS6O1GOmrge9oMwlfbBLKMb9z0MCUUoY/H0dfo0Q5/TbduH7AQuoVrfFw2deydUs+MyLP0ncA/b9ot2TItocOxfBwvqoXbyF6lNww8J+p1CLXPzjMlGax/6+0bcz5PtWJfsuD6NzV63n3PwE+pspu7ztuA+DLoxw/azbXuCMlM3237WzUY7NK5hocGgloTwWq8cOuf7jMjGhbps7LZrZTdKpHZNuHYbFXCuRZmOb1BnbDvWPrN523YJQwQXjTP5GnV2x49SMwg7UQF9Gc1I97R15mHi8es8v/NYm4nubDvmJdS//+ygbeIco0ThSkZnShs7Z1twHx3Uzfpq6gylHfRl9Al0L12BWvuH180v27YtT4t+S3zYYrrHOjTCru9/Ynw22ruhgv9eVBH1cvt7jMbV/MQ+j69hs92hmvYLUbeZSxksR3AOg8LmxGdKXWJnBRVKf3ad+XsXKsQt27l8I4HyDY2dHF53zw7OdZly3ec7wbnbUKvgbrsuv4ktDbWB5/puBkufTLyWPeYVjMm8O7zuR7RfRP3OeTtBVj9Uy+3WxBdQpiV85pOe3/+xz3zZrocLgNPWuffh+Tb29wgNcdhjx3IZ1soa0B9jrxXO06m2/TwGM79+E7hXcN1TURp0MyoM/FWwr76Ivqf32es+aiNzfyBj4hZ+lxxuHw4CTzeuf/v9nBFr78IN0oLfRd8/K6hg9BYGMzS/GKWny+heu8/QWO6JZuheRd+NYcmxN1HTqB+j+y8N2lNU6TaP7rG/YoIBYei657GWB/gFVDG4iAqMP2t/v5A6G+0CakwIGf+noALOIkrz/gyINjiOCxmM2XSJiVZQmvL0oG0j+6Jt20dmjR469kR7fUdTnkfAi6K86fW2v/ehNMwJm+u9L3ehLtM32PMvAu43YSxjZYOAnozjsfZ7nUyaA9ahu/b8k+wxSwxl7EUVLwWD9O8zQftIumvbxvKjtn0c3X0oE+SoSR/3MmnQoEGDBg0aNGjQoEGDBg22DFsVs9mgQYMGDRo0aNCgQYMGDRp4NMJmgwYNGjRo0KBBgwYNGjTYcjTCZoMGDRo0aNCgQYMGDRo02HI0wmaDBg0aNGjQoEGDBg0aNNhy3CqETRE5XUTMhFpf4bHniMju4Pt3ROScgzm+Bg0aNNgKNLSuQYMGRzMaGtegwZGHw07YFJHLRaQvIscM/f4tS2BOvyXHY7RI+IV2DOeJyPu3qm8RuZ+IfFpE5kVkj4j8t4g8x7adIyKViCyJyKKIXOra1ulz2p7z6a0a50Zgn9uqvfaSiPxb0CYi8gcicqWILIjIBSIyN6GvB4vIl0Rkn52XL4rIfQ/y+MP5dp9PjTjuM0F7bteq+/62gznGoXEYEbn9Jo6/jYh8UkSuORT7qMFaNLTuyKR1wfUfap/Ta4PfHiYil9j7vFlE/lFETprQR0Pr1h9vQ+uOUDQ07sijcSJynIh8yO6ffZYm3T9oP1L4OSMiHxv6/Sz7+4Ujzjk7oG/L9riQRp56MMccjGPT61JEXigi/yMiPRF590Ea2gHhsBM2LX6C1ukDQER+Cq3vd9RARB6I1gj9HHB7tG7QC9ACsg7XGGNm0KK2vwO8Q0TutE7Xv4jWbHyUiNxmywc+GY8zxszYz6OC358JPAMtgH0i+izfMqoDS7T+ybbvROsMvRq9p4ONa4LxzxhjHjd8gDHmXNeO1nk6Pzj++Ru5iCXWt/Teq9B6TU+6ha/bYDIaWqc4omidiKTA/wW+OtT0XbR+3naU1v0ArQk6qo+G1h0cNLTu8EJD4xRHCo2bQWvM3hulS+8B/llEZmz7kcLP3Qj8tIjsCn57FlrPcg2MMV8I6N1d7c/bA5p35UYuKhuwuB8EXAO8Fvj7Q3DtjWEjxThvyQ9aTPUPga8Fv70JLbQaFpzfBrwXXVBX2HMi2xbbc25CC6H+FoPFZJ8DfA8tTDpcKPUcBoudXw48Ei3y3AdytBDqt9HCs18fGv9LgI9v4D4vAv5mQvvAOOxvNwBPXqff/wRehxYwfulQ273Q4taLaJHqDzNY4Pzn0ILt88CXCIrobvC5PXJM2z8ALwu+/zTQBaZGHHsfYH6da/2qfX57gX/FFjMHfh/4SvCcX4AWo163EPOo+d7AOe+mLkK8AyWqN9px/RNwcnDshfa5fBEtMH174FFoYeV9aFHgzzFYgHncfX6ewYLmT93EmBOCfdR8Dt2HhtaNHIf97bCldfb8lwPnhzRgxDEttFj7d8e0N7Ru/ftsaN0R/KGhcSPHYX87rGnc0LUWgHvb/48Yfg54G/BbwTraDfwxcOE655++2TVmx3sd8D5UAH+PvafvAb83tA5PBP4fut5/ArzI/r5mXW7yOb0WePfB3NP7vYYO9QBGTJYjBpcCd7EL5CrgNAaJ03uBTwCzdmFcBvyabXs+8H3gFFSb8l9DC+exwBmAAA8FVoB7hQtneDz2//OA9wdtLWAPcJfgt2+iGtUHj9tkwBRQAg9bb7PY/yPg51GN7T0nnHOqPeZMlEheHLRlKBH/bSAFnmgXtWMg7oUSv/vbOX+WvfeWbX8r8NZ1ntv1dvP8G3BW0Pb/gN8Lvj/IPo+zRvQzB9yMbtRzgR1D7U8AfmjXRoK+lL4UzNPn7XO6A7rR7xmcezHwtPXmexNr9d3B/O2yz30KXZMfJXhJoQzYlajGLAGORQn4E+3330YJzHPXu0/bboDbD41nHnjwOmNuGLDD5END6xgeB0cGrTvNPoMZRgibdmzzdnw58Owx/TS0bp37tO0NrTtCPzQ0juFxcATQuKFx3AMVJrfZ70cMP4cKwl+1vz0GFWafy+aFzfXWWAH8mV1DHeANqEJtB3CyHWv4/L+OCr0ZcDtUgP3ZUevS/vZy4J828KwaYXPDA6qJ0x+iWuFHA/9O8OKwm6cHnBmc9zy3gFBt0PODtkeFC2fENT8O/Ha4SIfHM2ER/C3wOvv/Xe2GaK1zjyfZ8dx5wjHnoIRm3t5rCbx4nX7/EPiW/f9Ee8497feHAFcDEhx/ETVx+lvgNUP9XQo8dIPP7UF2k00Br0A1PNtt23PRl8fpqAbzk/b+Hzimr7ugzM1udBN/Ejjetn0G+xKy3yN0459mv5+OvjC+B7xiE+sunG/3eco657yb8VaNewB7g+8XAn8SfH8m8OXgu6AvYceArXefaxiwDd5nw4AdJh8aWkcwjiOJ1n0Ca2FbhwbsRLXdD5jQV0PrGlp31H5oaBzBOI4YGhecMwdcQkBfOHL4OSfc/QC4E3AB8HT2Q9jcwBrrE1hcCYTHYM7ceO4PXDnU3yuAd41bl5u478NW2DxcYzZBTdFPA56Nar1CHEOt2XG4At30oBvzqqE2DxE5V0S+YoOV51GNx0AA+ybwHuBpIiKoH/tHjDHr+aPvRQnPej741xiN/ZkD/gp4+DrHPxONrcEYcw2qWXmWbTsRuNrYFWkRztFpwEtscPu8nZdT7HnrwhjzRWPMqjFmxRjzpyhRPds2/z3wIZQJ+Q6qmQQlPqP6+p4x5tnGmJOBu9kx/GUwzv8bjHEPyrycZM+93PZ/OvA3Gxl7gGuMMduDz0c2eqKITInI20XkChFZQDVy20UkDg4L53tgjdrnEs7HxPtscFShoXVHCK0TkccBs8aYD693rDFmDzpnnxgXx9PQOqChdbcGNDTuCKFxDiLSAT4FfMXydA5HCj/n8D7ghcDDgH/cnw42sMZuNMZ0g+/Da3b42Zw49GxeCRy/P2M7UnDYCpvGmCtQX+bHAB8bar4JdcM5LfjtVFTTA3AturHCNgBEpIW6AbwJ1a5sBz6NLvB1hzVinF9BtRpno8T0fet2YswK8GU2mMDAErvfB35KRJ4w6hgR+WnU1eAVInKdiFyHalB+2TI61wInWSLqEM7RVahGL2RApowxH9rIGEcNGzunxpjKGPMqY8zpluB8B31WV0/qwJ77fVQrdrdgnM8bGmfHGPMlOw+PAR4IfBZ4436OfX/wElR7dn9jzByqeYTBdRWun2tR9wo9SJ/LyUH7xPtscPSgoXUDxx/utO4RwH2C6z4VeLGIfGLM8QlwHMpgTkRD6xpad7SioXEDxx/uNM7N68fRZ/C8ofEfafzc+4DfBD5tn9WmsME1NryWBmgea5/NT4buedYY85gxfR0VOGyFTYtfAx5ujFkOfzTGlMBHgNeJyKyInAb8LuDSBX8EeJGInCwiO1B/Z4cM9au+EShE5FzULWMjuB44fUR2vfcCfw0UxpiLNtjX7wHPFpGXuWxZommZLxh1sDGmD/w56uc9Cs9C3VPORN2a7oFu6CnUV/7LqBvGC0UkEZHHA/cLzn8H8HwRub/NIDgtIo8Vkdn1bkREThWRB4lIJiJtEXkZqvX5om3fKSJn2H7PBN6MullVI/q6s4i8REROtt9PQTPZfcUe8jaUAN/Vtm8TkSfb/48B3om6LDwLeJwlVrcEZtFkGPMishN41TrH/zP2ZWNfHr8FnBC0j71Pi+tRX/8NQ0Ta6NoHaNnvDQ4PNLTO4nCmdcAfAXcMrvtJ258rcfBEEbmTiEQicixK675prZwDaGidR0Prbh1oaJzF4UzjRDNt/wO6x585zKcdafycMeYnaJzlH2z2XIv9WWMfQe9rh2jpqxcGbf8NLIjI74tIR0RiEbmb1OVgxq3LsbBroI26pMeWDz8UWXHHwxwGvrzhhzFZTRmKv0ADb9+PLoCr0E0bBcf+BRqY/BPWZi/7LfSBzqNajwuofd3PYbyP/y7UL34v8I3gGBfI/ergt7OBpXXu9X6oz/o+1H3gq+jmXjMO+9sUqgV83NDvbTumx424xluBf7D/3wfNTraEJnX4GPBHwbGPRlNez6OamY+iLmOgROFtY+7jrmgA9LKd888C9wna74jGC6ygLjC/O2FOTkI36tW2v6uBtwNzwTHPQOMIFuyz/3v7+8fCMaJE+Rpgl/3+HeDpY667Zr43sFbfHaybE1G3kiU0nuF5Q2vuQoLsi8F8X0adofHLwDPWu0/b9nz7jOax8Vb22mdPGK8Z/hzq/X5r/tDQuiOO1o245rsZzAD5f+xzWEbj1i/Axh+NOLehdevcp21raN0R+qGhcUccjUMFM4Pya0vB52zbfkTzc+xfgqANrzH727Q9bh6NN/1D4EdB+4moK/J19ll/hQnrEnWz/cyE8Z7HWpp33qHe/+FH7EAbHABEfdtvQLNT/eBQj2ejEJGvopv5XYd6LLd2WC3WbpR4/tehHk+DBqPQ0LoGB4qG1jU4nNHQuAZbDRF5AfBLxpiHHuqxHCoc7m60RwpegNaROqwJk4g8VEROsCb3ZwF3R4tfNzgEEJGfFZHtojEBr0RjAL6yzmkNGhxKNLSuwabR0LoGRxAaGtfggCAitxENLYtE5E5onPs/HupxHUocXj69RyBE5HL0xfmEQzuSDeFOqEvDDPAj4BeNMdce2iHdqvFA4INoTMB3gScYY1YP7ZAaNBiNhtY1OAA0tK7BYY+GxjXYImSou/BtUVfaC1AX6FstGjfaBg0aNGjQoEGDBg0aNGiw5WjcaBs0aNCgQYMGDRo0aNCgwZajETYPIUTkPBF5//pHNjgYEJHviMg5h3ocDRoc7Who3aFFQ+saNLhl0NC6Q4uG1h2eaITNgwwReZqI/I+ILInItSLyGRF58KEeF4CIGBG5/WEwjmeLyCUisiJawPhvRWT7wb6uMeauxpgL7RiaF0SDBgeAhtZtaBwNrWvQ4AhHQ+s2NI6G1jXwaITNgwgR+V3gL4HXA8ej9ZveCjz+EA7rsIKIvAT4M+BlwDbgAcBpwL+LSHYox9agQYONoaF166OhdQ0aHPloaN36aGhdgzU41IU+j9YPusGWgCdPOOY84P3B94+iRV73AZ8H7hq0PQbN4reIFsZ9qf39GOCf0IxXe4AvYIshb2CMBrj9iN8vJCjKDTwbuGjovOcDP0ALz/4NdbKpGPhztFjxT4AXEhTHHbrOnJ2jpwz9PoPWufrVYJ7+Afiwvf9vAGcFx78czca2aOfoF4b6+3W0sK5rv5f9/XLgkWjx4z6Q2/F8G3gy8PWhfl4CfPxQr63m03wOp09D6xpa13yaz63h09C6htY1n/37NJbNg4cHAm02V1vnM8AdgOPQjfeBoO2dwPOMMbPA3YD/tL+/BC2QfSyqZXslSgQQkbeKyMFKt/xzwH2Bs4CnAD9rf/914FzgHsC9mJxC/KfROfpY+KMxZgmdi58Jfn48SrR3oin0Py4iqW37EXA2+iJ4NfB+EbkNgIg8GSVqz0SJ4M8DNw9d719QLeWHjTEzxpizgE8CtxWRuwSH/grwvgn306DBrRENrWtoXYMGtwY0tK6hdQ32A42wefCwC7jJGFNs9ARjzN8bYxaNMT10I50lIttscw6cKSJzxpi9xphvBL/fBjjNGJMbY75grLrGGPObxpjf3LI7GsQbjDHzxpgrgf9CiRAogfq/xpjdxpi9wBsm9HEM4+foWtvu8HVjzD8YY3LgzSgxewCAMeajxphrjDGVMebDqGbufva85wLnG2O+ZhQ/NMZcsd7N2WfwYZQQISJ3BU5HtY0NGjSo0dC6htY1aHBrQEPrGlrXYD/QCJsHDzcDx4hIspGDRSQWkTeIyI9EZAF1BYB6Yz4Jdbm4QkQ+JyIPtL+/Efgh8G8i8mMRefnW3cJEXBf8v4K6SACcCFwVtIX/D+Mmxs/RbWz7mn6MMRWq9TsRQESeKSLfEpF5EZlHNYRu3k5BNWT7g/cATxMRAZ4BfMQSqwYNGtRoaJ2ioXUNGhzdaGidoqF1DTaFRtg8ePgy0GWyu0GIp6EuBY9E3QZOt78LgNXgPB51xfg48BH7+6Ix5iXGmNsBjwN+V0QecYBjXwamgu8nbOLca4GTg++nTDj2y0APeGL4o4hMoy4bnx3Vj4hE9hrXiMhpwDvQGIJdxpjtwP9i5w0lZmdsYNxmzQ/GfAX1+T8bfT6Nq0WDBmvR0DpFQ+saNDi60dA6RUPrGmwKjbB5kGCM2Qf8MfA3IvIEEZkSkVREzhWR80ecMotu0JtRgvB61yAimYg8XUS2WXeDBaC0bT8nIre3Whr3e7mJoWYi0g4+MfAt4Il2zLcHfm0T/X0E+G0ROcmmuf79cQfaOXo18BYRebSdn9NRH/7dDBKBe4vIE6227MXoXH0FmEYJyo0AIvIcVAPm8P8BLxWRe4vi9paQDeN64HRL8EK8F/hroDDGXLShGWjQ4FaEhtY1tK5Bg1sDGlrX0LoG+4dG2DyIMMa8Gfhd4A/RTXMVqqn5+IjD3wtcgWYk+y664UI8A7jcumI8H+tzjgae/weabevLwFtNXWPobSLytnWG+R1gNfg8B/gLVPNzPepy8IGxZ6/FO4B/Ay4Gvgl8GigYQyiNMeejwe9vQonqV9F5esSQa8MngKeiWdKeATzRxjJ8F82S9mU73p8Cvhj0/1HgdWjw+SI69ztHDOWj9u/NIvKN4Pf3oUSu0X41aDAGDa1raF2DBrcGNLSuoXUNNg+X1rhBg4MCETkXeJsxZpTWaaN9nIem8v6V9Y7daohIB03XfS9jzA9u6es3aNDgyEBD6xo0aHBrQEPrGmwWjWWzwZZCRDoi8hgRSUTkJOBVbC5N+OGGFwBfawhSgwYNQjS0rkGDBrcGNLSuwYFiQxm1GjTYBAT11/8w6r7xz2iMwxEHEbkcvZ8nHNqRNGjQ4DBEQ+saNGhwa0BD6xocEBo32gYNGjRo0KBBgwYNGjRosOVo3GgbNGjQoEGDBg0aNGjQoMGW46gXNkXkbBG59ADONzZNdIMGDRoctmhoXYMGDW4NaGhdgwZHFo44YVNEXiEinx767QdjfvslY8wXjDF3umVHuf+wNZDeKiI3icg+Efl80CYi8mcicrP9nG/rMLn2e4jIF+x5u0VkrE/9en1NOO+hllC/NvjtsSJykYjMi8h1IvIOEZkN2t9kn8eiiHxfRJ65zjWeJiJXiMiyiHxcREaltHbHPkVEviQiKyJy4VDb2SKyNPQxIvIk2/5LInKpna8bROQ9IjI34Vr3EJGv22t9XUTuMeHYZ9ljFuyzOF+0ltTwcXcQka6IvD/4LRORfxCRy+14z1lnvnaKyD/a+bpCRJ426fgGRwZu5bTuYSLyX/b3y0ec+xoRuURECtGshpOus5W07mH2uvO2r38UTZgRnvdIEfmG3Y9XichTJlxjM7RuIh3dKH0Skf+09zU2Z8NW0joReaGI/I+I9ETk3RP6eZUd1yMnHNPQuqMQRzOtE5EHiMi/i8geEblRRD4qIrcJ2lui5Uyut8d8agRN+W0R+Yld998TkTuOudamaJ2lsTfavfttEXl80DaRr7PHHCpa93eivFslIs8eamuJyF+IyDUislf0HZNOuNaGad3QeWvoqIi8X0SutfN5mYg8N2g709LBvfbzHyJy5oT+jy5aZ4w5oj7Ag4B9QGy/nwBcDlw39JsBTtyC6xk0PfMtdX/vBy4AjgVi4N5B2/OAS4GTgZPQuk3PD9q/i9YeioEzgGuBnx9znYl9jTknRQsDfwV4bfD704BHo0WLdwCfQdNiu/ZXA3dGlRv3R2sq/fSYa9wVrZv0EGAGraN0wYQxPRJ4ChqsfuE64z/H9j1tv58CHGP/n0HrTv3VmHMztF7W7wAt4EX2ezbm+BcAZ9vzTgK+Drx8xHH/BnwBeP/QtV4MPNg+w3PWua8PoYH7M/acfcBdb6k123wOzudWTuvuh9Zd+w3g8hHnPgs4F63Tdt4619lKWne8m2tLB84HPhm0n4mm1D8XTcC3CzhjzDU2S+vG0tGN0ifg6cDn7bNOxlxnS2kd8EQ0GcffAu8e08cZwCXANcAjJ8xBQ+uOws/RTOssLXgyMIfySH8P/EvQ/nvAty1taaO1Hz8WtD8XrW95JprY5gxg55hrbYrWAXd3dMDSlEXgNvb7enzdIaF1tv23gEcA/wM8e+jcV6E81U703fIV4NVjrrMpWhecN5KO2vts2f/vbNfvve337cDp9hnG9loXT7jGUUXrDvkANj1gXRwrwQN8CvAu4HNDv/3Q/n8OsDs4/3LgpXbz7rMPsx20vwxl8K8BfpWAKAHb0CK9N9oF+YdAZNuuCK7/K/a8M+335wIf38C93QktgDs3pv1LwG8E338N+ErwfcVd037/KPCK/elrzDkvR5mrdxMwYCOOeyJwyYT2TwIvGdP2euCDwfcz0ELEs+uM7bmsL2y+C3jXmLYZ+2w/Pab9UWhhZgl+uxJ49AbX7e8Cnxr67ZeAjwDnEQibQ8fsZoKwCUzb+blj8Nv7gDfsz/5qPofP59ZM64LjHskIYTNofz/rC5sHhdahzMmfAt8Nfvsg8JoNPt/9onXB8Z6OboQ+2Wd6GfAAJgubW07r7O+vZbyw+RngMXbNjhQ2G1p39H6OZlo34l7vBSwG3/8WOD/4/ljgUvt/BFwFPGKDfW+a1gXH3g/oAvcb0z7A1x0qWjf0+0WsFTb/B3hy8P1pwFVj+t00rWPjdPROds09ZURbggrMK2POPepo3RHnRmuM6QNfRTUk2L9fQBdd+Nvn157t8RRUY3NbVLPzbAAReTRKsH4GuAPK6IR4C7rQbgc8FHgm8Bzb9jmUALrr/9ge475/zl7j4gnm8PujxO3Voq5ll4h1+bS4K6oBc/i2/c3hL4FnikgqIncCHgj8x5hrTexLRP5JRF4efD8NJdJ/Mqa/EA8BvjOqQbSY7n3HtQ+PyxjzI+yms+e/XET+aQNjGL7uFPCLwHuGfn+wiOxDtW5PQudw3LguNnbXW1xsf3f9zE8YwsCciLrr/gnwkk3dyFrcESiNMZcFvw2viwZHIG7ltG4rsaW0TkROtXt9FZ3D84PmB9hjLrHuVO+f4C6237RuBB2dSJ8sXo8ytteNGU84ri2jdetBRJ4M9I0xn17n0IbWHaU4ymndMIb3xzuBB4nIiZZPeTqqfAG1UJ4M3M26qf5ERF4tIuN4903RuuC3Ljr/F6LC2kbGfaho3XoQ+wm/nywi28aMa7O0biIdtW67K8D3UWFz2BV8HhXq32L7GoWjjtYdccKmxeeoCdDZKFH6wtBvn5tw/l8ZY64xxuwBPgXcw/7+FNTy9b/GmGXU4gSAiMTAU1FL4aIx5nLgz1FXLzcmR4TORjXe7vtD3XiMMXc3xnxwzLhOBu6GauZOBF4IvEdE7mLbZ2ybwz5gRsT75P8TKlCtogv9ncaYr4251sS+jDE/Z4x5Q9D+V8AfGWOWxvQHgIj8DOriNi5e9G3opvnXDY7LjW3WjusNxpifmzSGMXgScBND68IYc5ExZhs6929ENaT7M66LjDHbR50oIs8B7gO8Kfj5NejzuWpTd7HJcTU44nFrpXVbiS2ldcaYK+1ePwa1gnw/aD4ZnacnoYxtB2UqNjIuN7aN0LphOjqxLxG5D+qqOG4smxnXZmndWIjIDMpwvfhAx9XgiMfRSus8ROTuKG/0suDny1Br2tWot8ddqBVdJ9u/jwJ+CngY8MuoxXIUNkvrsDRmFvUs+FdjTDVi3KP4ukNF69bDZ4DfFpFjReQE1F0V1B14s+MaoHUboaPGmN+0558NfAzoDbVvR5UbLwS+Oaabo47WHanC5ueBB4vIDuBYY8wPUPeBn7a/3Y3JGrBQI7GCPlhQpidk/q8I/j+G2r87bHeB3J8DzraLO0bdOB4kIqejC+tbG7ivVSBH3bb6xpjPAf+FEhqAJdTv32EOWDLGGKtR+heUSLXReMSfFZHfHHOtsX0NHygij0PdHT48afAi8gDUteIXhzQyrv2N6LN5yqjrjBmXG9vipGtvAM8C3jvuusaYq9H5u2ArxyUiTwDeAJxrjLnJ/nYPVLv6Fxsc+yQcrPlqcHjg1krrthJbTusALFP7HuATUieJWEUZ28ussPp6lInbyLjc2NajKaPo6Ni+rBXkrcBvG2OK9e7rAMb1BIZo3QbwauB9xpifHKxxNThicLTSOgBEs99+Bt2HXwia/hbl2Xah7pMfo7Zsrtq/5xtj5q0w/HY2TlPG0roQxpjcGPMZlGf8+aFxj+PrDhWtWw+vQ4W4b6Hr5+Pou+aGAxnXZuioMaY0xlyECuQvGNG+jArR7xWR4w5kXEcKjlRh88voRv8N4IsAxpgF1B//N4BrNvjyGsa1qJDmcGrw/03ogj1tqP1qe/0fogTuRcDnjTGLKPH7DeCiUdqiEbh4nfbvAGcF38+idi24HWp2f68xpjDG7EYFp3Gbf1Jfw3gEcB/RjGTXoZrAF4vIJ9wBInJP1K/+V40xnx3uQERejQaSP8o+qw3do4jcDo2NWiO8bhQicgrqCvPedQ5N0FiCceO6e2BFBnXVGevaYd133gE8zhhzSdB0DhoofqWdz5cCTxKRb6wzvlG4DEhE5A7Bb5OeZYMjC7dWWreV2FJaN4QEOI6aMbgYjePZ9Lg2Qusm0NFJ9GkOtTZ+2N6T83bZLSJnjxnXVtG69fAI4EXBfJ8CfEREfn/EsQ2tO7pxtNI655r/H2iM4/uGms9CY5n3GGN6qNXsfiJyDJrsp89+0hQ2vz8GeKB1+LpDResmwhizaox5oTHmJGPM7YCbga8bY8ox49oordssHYXJPGWEWltPGtF29NE6cxgEju7PB9VYXA+8KPjtLfa3DwS/ncPaQPJHBt/PwyZnQRf2dWiWrSk0+UQYSP5+4B9RU/ZpqPvUc4O+Poi6QTzDfn+j/f6yDd5TCvwQ+CN0kT4I1WTc2bY/H/geujhPRBfe823bHDCPBkNHaOa2LwOvG3OtsX2NOHbW9uc+H0atcjtt+93svD91zPmvAH6AzXK2zhzc1c7Z2aiW7/1MzloWo1rB56NazzaQDh3zSvRFMXzu09EXi9jn+TmCLHBDxzrt52+jRPKFTM7Q+HCUyD1kRNvU0Hy+CfgHVJvrjmnZe9mNWnvaBEHsQ/1dgGYum6bO6nfEZi1rPmue762R1kV2zZ9r91k73Gv2/LYdx2vt//GYa20lrXsimvghQjMdfgT4RnD+rwI/QZV/U7b9fWOutVlaN5aOMoE+ofQtvKf72md9EiPo16S+xoxrLK2z7Yl9Pn+KJrloU2fA3DU0tqvQzJ0zY/pqaN1R/OHopHUnAT8adzyaCOn/oYJ2ivIrVwft70VDpGZRS9n3gV8b09dmaN2d7dx07HV/BRVs72Xb1+PrDgmts+2ZpSNfBH7d/u+SOrl7FzSu9CpUYB3Xz4ZoHevQUVTp+EuoRT0GfhZYBh5vz/8Z4J62bQ4N17iGIJHV0PWOKlp3yAew3wPXF5dxG8P+9hT72/OC385hg0TJfn85SphGZS3bYTfJjXYB/7Fb4Lb9efb40+z3n7Pf7x8c8x3g6RPu666okLiMpq3+haHFfj6wx37OZzCL1sNRbcs+ew/vAKZs29moO8VG+/oM8MoxY3w3g+UA3gVUqOnffb4TtBvUbz1sf2XQvgScHXx/GhrDsIyWNtgZtL0S+Ezw/dm2//Dz7qHxjiTOqLvFbnud3cDfAbvGzQFKKL6Ouo98A7hn0DY8v/8FFEP3/Jkx83keQ9lo0XU6fF+nj5mDnairyLKdt6cd6v3ZfLbuw62T1p0zYv1fGLS/e0T7s23bwaR1/wdlsJbt3F3g5iA45tV23m5EhasdQduB0Lr16OhY+jQ0vtNZm7L/oNE6dN0NP6vzxoztcgbXbEPrbkUfjkJah5biMEP7I9w/u9CyazegBoOLCDLCooLJBagyzo1PbNt+0zo0NvSrtt95lHcMafBEvs4ec6ho3YWspSnn2LaH2PWwglqGnz405v2mdUP9nE5AR1Hl4+fsXC6gpZx+PTj+ySgvumTn69PA3SfMwVFF69yCbdCgQYMGDRo0aNCgQYMGDbYMR2rMZoMGDRo0aNCgQYMGDRo0OIzRCJsNGjRo0KBBgwYNGjRo0GDL0QibDRo0aNCgQYMGDRo0aNBgy9EImw0aNGjQoEGDBg0aNGjQYMvRCJsNGjRo0KBBgwYNGjRo0GDLkezvie/+7IXm+1/9Hrsv3c2N113Hvn03sLBwM4uLe+l1l6lG1E8ViRBkbWciYIz+dXBZcke1jYEMHTP8fdR43HHGGH/8eucNZ/B1342pBvpJkpRjjz2F0067G9uP3UGSJURxhIgQpzFplpJkCUkSk2QpSRoTpwlpKyVJE6IkIooi4iQmiu3fKCJO7fc4Ik71EcZJTBJFJHGs/UdCEsX+3pI4Jotjkjimk2UkcUwsQpYkpHFMK00B6OU5eanPLokjZtsdIns/ZVVRVHqPZVURRxF5Wfr+e0VBVVVUxlCUJQZDEsWkSUISRaRxTBJHJFFMZQx5WbLS7xOL6HiiiLKqyMuCsjL0i4LVfp++vYax/Za2jrIxUNmxVHZsZVVRlKX+Xtqx5gVVZaiqirLQezNlRVGUFP2CIi8o85K816fIS8q8oMhLluaX2Hv9Xlb2LdPv9ej2lllZWaAsS+I4xhjtE1OBRH6uoygK1lJEVZVEUezXlm9DMLYmcrgvDEa/u7WvJ65Zs+F6Da9nTFUfF+43e0wUxcRxTCQxBOcCxHFi+7On2PUqIkRRpPNZlv43ESFOIrJ2i5kdMxhj+OvzX7r+Zj2CICIbStkdxwlxnKyhD7cWDN+3W1fu9+Hv+v/omuiDx5iBNaprMQ4+kf8/TVukaYuZmR2kaYskSUmSjHZ7mnZ7miTJ7HOKieOUOE7I2hlJljB3zJzfu1EsiP9f130cx0RJ5PdCksakrYzWVIu0ldJd7vpjTWXIe7nSw6Kku9ylLCtP+9vTbaZmpxARyqK0dMQQxTFVWVIWOi9FXpD3cvJeTlmUlEVJkReYsoJIiGOlK1VVjaRhRT/HGCiKnKLos7q6xOLiHvr9VaqqotOZYdu2Y1hZWWR1ZZFeb4U73ul+7DpxF1kn44bLr+e///sz7NlzzcDziaOEsioG09tXJWVVUlXl2Pepo0uj1skkyBD9M/4dMH6vDa+7g4F+v3tU0TqAOE5MZHmHWztC3s5BJFpDj5QXGOR5w7Uerle3N+I48Xul1Zpibm4XIhGtVodWa4rFxT0kSaa0Jk6Jk5QkThFP7yIiiYlipX0iQiQRrdYUadYijpWnS9OMJGmRZAllXlKWhdJAy4OmrZTVpVV/L1k7Y2VhhZWVxfodH6dkWUaUxJ4WOjpZlQaJlGforfQoy8r35VCWhZ2jwvJhOZGlw1GUeJo+fF5VKW1057Xb02TtbGDui35e83dlQZKkxHFE2s64dvcV3HDDFX7+V1eXKPIeedFneXkfvd6Kn7PSXsMhTVu0WkqjV1cXabemWVi8Wfkrx1eJrKFJ49bA2rbB/bXmvTgsZzi+sO7AHbzmuLBPtzbDexu+/jgZaPjdWxT5fhOF/RY2v/nZb/KDb32fa6/9IXv3Xs/S0l5WVhbJ8x5lWYw9b/gGJyF8iMMbd7ht+JiDgXAxjRc46xdcpzOjAoUxTN2wjSTRzR9FMVnWJo5TkiQhjlPSNCVOE8/AOEEzzRKSLPWbOYpjFURjIcl0U0kcKfOUOgKg57o+9JoqpMZJTNZWBklEyNKENEmYbrVIoojKGHp5TmUMcRQx027TSVMVIKuKXp4DEEcRRVVSVioAiogX8pywamwfqRUksyShk2W0El123Txn38oKlTFe2M2LgpV+n7xUpqq/2qff7VOVFaaqKIuq3kCFE0LxAmNlBU9TVhT2e5nrcY5ZM5UKTFVRkvcL7b8oKfJSGbu+I0bz7Nt3I73eil/XRdGn210m7/fqZ49Zsx7WKD7GKVkmwBGASf3qb5PX/Sih1J3n9o3bs8q4J2PPB6isIiEkuEmSMtWZJU5SOP+lE8dztCJ8DlvFqB0qwTUc/0bHMO6eN9vXqDUfRTFxFCNWUeIYPkGI4oQkSUnTlj3Wfc9Ikow0yciyDmnaUiYrSoiT1NNIiQSJrKIoDhSQVYVYpZJjrJI0IU5i+4mIk4TInptmiVfOuHtIs4R+L7f0p6IsCqqi8koud50ojpneNqXH5AXdlS69lR55v6AqakYhVALFsY4BoCxU8CyLkqg0kCZESUzaSi3dzOiuxBRFTpa1Maai3+/S6czQ73fJ8x79vEte9Lnyyu+yZ892jjvhVNozHWZndrBv343u4WAwRHECIl7BakyFiSIik1CVhRc6w2cq9vjh93X4zhy1VkLlnLu+/y5h3+vTygYN9gcb4S3HHTOsGAkZefdbFEVUZQmUlHFC1FF6B1YBHMX2b1TTPpE1PITB2Pex0sJQyMhaKSZTwdIYQ9G3SvZuX+lXS4W4OFFeMrF8mhMSy1KFwrSdeZrntlwUifJPeR7su5pHN8bo3nX3HCirdU+rYKn7uL4fp4RzguTS0l5kOSKOEy+Iu7l3SsAoEiSO2HvTTczPX2fHFyudtccXRZ8871khPVJ6pi3+2pGd8ziO6fdTslabtNuiLIsxtGW0Im14XYySVYZlGnCCd2QVpLFv7/e7FEV/4BqT5BFjKuIopjI6h249hIJkePyw4Flf58Dkq/0WNr/7tW9x5ZXfY8+ea1lamrea0rXWzGHcWpT+xhj6/S77Fm4iL/qqbUoysBqtJMnIshZRlJCmmRU8U8soJZ5hcpr4KLKbM47IWilREntNu7d+2v9D66eplIFK0theOybJElqdjKydkbZUq9+aatGaannBzDFCU7NTtLLUWx17/RyJdBHm/Zy8m1OVJVVpCUJeeK28E4iTVLVvWScjSROyJCGOIlb7fZb2LmIqQ5wmSCRUZUV3uUu/26foFyzvWw6ERBUgAS98VpUKkcqQ6bhNVVGVtUBZOGEzLyjLymrZSsqytESnT553McaQ5z3yvEu/32N5eZ6lpb3ked8S7VrLVhS53bQGvCA5aXGPOkaGzg/bh4nZ8HFbjXHXrTHKMhW2RZG+BG7t2AiTe2uyfq59EdYCx6TjnIAZWYuxEy6dZr+2uCeepiZJ6uc/jlPSJCPN2qRpZvtLrCUg8jQV7DOrHDMIEkVgnMZeiOOIVkdppCr8YiSOVFmYRErzEu0nTiIkiujMdACYAlpTLVb2rVAUhafJcRJTlRVxmtDqaL9FXqrHRa70zFjGIIoiKioiYpIU7yEDYKy3SRRHTM1N0V3u4rwTQivDVD7FbG+W1g0d5vfd4OdsZXkfhaVxKogaiiKnu7LM1OwUWatNkqQDz0f3ugqvykgqI1IZZeiiqqIqC4oy3xDjEjJM7jkPKPHtl1GeII1QufVo5nTjNHqydX2ttcsd76ya/ne7titTUVUlSWoFG2o65ax/6oFRe3UAA7TQXUfprFGeZlU959xeK4ucOEnpdleoqorcGhIAeqtd+r1uza/GKVlbhbtWp2WP6VGVldKyNCHv154Oeo2y3tdDwo+7f70PLK2NBoQd/dRebVEUY4xYAVCNE2WZkyQtNbq490ESs7q8xA03XEFZlt4KXFR9BKEyFb3e6oCAmiYZZRQhZU2XWq0O7fY0URTR73XJss5I6+uoNeCETOXda4FYx1xQFrl/5oIQpy2SOB2wSsZxQpZ1vHXVeZZVVUW3u8zi4s3+/TAKzghijBpgIrt+qqr0dHuU19DwPYWKwgPBfnOGl1/+HW688UpWVhbI8z6TGe1bJwprqu/3Vmm1pkjSjDhSjXAoYKo7l2OEEtIkQ6LItzkGSrUc6dB5id9kcWoF0NgKps6q6SydsRCnibdsOmtokiZMzU2RZglxqptDIiHv53SXu6oRMyo8IkKZl96SuLywTM+6iJVF6a2LSWpdgzMVnp0wm2SJv26ZlyzuWaCqDHGqm3h1YZXuSpeqVMF1cc8ihRU2MUY1/aXTdqm7WmGtBSok96ksgVJtWO61OWWZU1UlZZFTlIVu+jKnyPvkRS1QFkVOnvdYWVlgdXUx0AaNW+MbWfujjjEbaNvsdQ4U67uljWtzgnyD8TjUQuYoxn/ccVtxrfFt471EnBAUxwmRRF6b711cJR4QOJ01fkDgRK3tadb2XiRx7NzGo9pCKELaUleyqjKI4BmyKIpIsoQ0S0hbGWk7JUliiISslXpaqYxboGm244zjiKV9yyRWmCz6BWbFIIkQJRFpK/X02qGynhdxHFMlFca6h8XOq8AxF8aou6wXTNVFN8k0DGNp7xJFP6fX7VNaBV0UqfJvbtd2ojimLHOWlvaRF336eRdByNI2WdayluA2sbX0Jkk28JxCt7fQlVasFSOKKkycEJUJhaWt9bMepdkfWitO4LSWzGEXMtPwGw0OMSKJPEMfKkvWeuKNXqvDlk63R9w7tNXq0OutemVbqGALz3P/i8SWr7QWyLSlincb0lZVBrF0wlkXkySmLCKMUcV7HCXqGVZVfs9pyECmBguLIi+8O79I6u/HeWq4/sP3jbqplrXwKaL0LIJIYk/DwnuqLafOQy/xnlemqrzArVZcQxQJvdUuN924m7LM/XmApyO93opa+6y1MIpislabPO97mgaQpm1vVUzSzIdllGXt0l8LxlVgpY6t4agWTEPBToVmK3QbQ5a1abU6RFFCZUMTIomIk5Q0bfv7cwJ3lnWYnp5jdnYHCws3sbq6NHKNhevRPU9j1HU7ksjyvIOhf6MVg4MhDPuL/RY29+y5xgqavfUPvhWjqkp6/VXKqiQtWnbhRPT7arl0jFNt1Uy9u5hbsE7Y9AxVnAT++zXDFbqHDW5a5w6gLrez22foLnfVJSyNSbOEsihJs4TO7BTGGOIkprvcpbu0SnuqbYU3tSK63yWOyHs5qwsr9FZ77mLKIFSGrNOiPd2i1WnRW23R7rZIspSqrNQVOBKW9i1jKkNrqkVVVOy9Ya+6eZQVZVmxPL9Ef7VPWaq2ryrLgVghJ0CqxVGFRRcf4GKIVFhUgdHFLulvKliWZa6anqqi9FbL0rvPNmiwvwgZikMpaLpru3idA7FcTLqXzWj5wxebBB4fo+KS8EKlYy6sYs0zYLV7mcZuZogIWda2AmjtLVJ7eYlViiV2LFCVhjhFaWWkIQmOKSr6qo1OsoSqNESxIc4i8n6hFlBjmQrrfluW6s5fSundc5VmlbTSlg+RAHwsedbJiNOEIs2JkkiVbmVpY61UEA212W4O00xf5auLKxR5aWOnSnXZLXJvWej3+z62eMdxO1n50SKltT6mWYskVZfjLGszNdtRpWPe9yEgIWrrQlELhVaL7pipyGr3HZ2thc5ht7GamRknVI4SMA+18qbB0Yn11pUq82MwFVB566OzJg4fO4leOp6wLItAENE4zqLIB/jASGLXqad1TgB1nnC6t2qBMpKkDqOKYx+3CdYd3+5tQ6WWzCRW/rLMPN8ZRU4YUY+2vlViVVVFlKj7vhOGyqrCUCEmCvz+lX5XlQq27t6d8tC1D8+9SIxgwHqYVJV6rmGNKfouqxVe3e4qe/ZcR1EWRFHiryWoUrDfWyXP+8TxoAEnTduAxra755dlLbK0ZYU+VcAlSebP034174YTouvYWisQY4IQCPFeG45PBWi3Z8iyluWxI993KCiXZe01WhR9RFq02zNMTc3ZXDl7PB32c+6EzYAuu/whkfUYmhT26NaXC0WR6BAJm+vFZjYYhDHqVmRMjEjtMx3HCZHRjZAk6jZQWYulqUqiOPEv4zhOrVtBZV0taherOE6oYhWWPPNlN4LzPVeGLqXfa5EatXjGxBiDjRdI6Hf7Pg6oPd1mZXGFsrBuFt1cY46si2psoNVRC+ni3qU6+U5lrGW0IPcMWkp/tU93uedjS3v9gqJfxwqaSIlkf7XvE2KsLnXp9Vas2b/2OVdNUv3dB56XhdfmhdbNWrB0wqSzbBbercEJsa4/tdg3aLBx7I8QdjAxfN17nPVwvvvdL1La+Jit6HPcb4Pt411w0iRTrw9L95yAKQPCpXgtttPy15bNmMi9/O05SdKyoQode47rWyCqBVwXp4Sxsd9FgfSlDj/INOax6FeUucYlsQxJGtOZnbLXFMuMRd7S2LLWUfEJgyq1BBi1Wjp3XIC8l9vxKH+QpDFlWdLv9n0YgY5HvKtZVdbxXiJCWVR1QqKqIutkLM8vWVpZx7JXValeNkmL3mrPu2oJkWeqkiQjTTOmtk3TXdZ4TidYhmvGKUGVvjplX0UkxtLfCBMZxGrSyzimyPuUVenp96h1VFEn4BjlnjYKofVg0nENGmwFhnMwGEbHDQ9jVLujYz6e3PJqKmz2vfXN0cTwPKjdzuMoDniewlsKoygCE5P3ckymSjUV/KwyzAmerE18VFu8CMKjakubV3QZQ5Ik9Ls9Kuc+awVOEwhALrHQ4NxZwdTe04A7vVX0DZ+jx1UD4+v1Vlhc3OPjGZ1lVCTGmJJud5lub2VAcebeI5rYL7Pu+7U3R2Lj/lWQT0Yq3TCGKMK+b9oq+McpRZlrIqTAPTiKErK05WlgHKdMT8+pRdm6T4fP1vGnIpEPBQm9G7OsY5W0KYuLe6mqtTKZo4tVVXreOHQv1tCxvld8uPlotaZoZRoKMpw8aX+w38JmSNgbrAfL3AxlTgwZKyU08YDLhNNAu8yktUY/qZmrQKsPNTGLRLwbRJjBNE3TIADcErlENUtJltpMYZVaWzMler2Vnh2/0J7pkCRqCXDMTxSpS9j8jfPkvZyil5P3C589tyoN/W4fY5w2CborXR83pdbOElNBZ6bDyuKKJu+xiTXsjXntUeWFwtJbMIc3U+3aFQTnD30PA6V1fga1bg3cnBwYkWmwORhj2L79OJ7w1Ofz4fe+GYDnvPAPmd42zfe+8j0+85m/m5CkYBCOKaiqkoc97Gm840Nv4k/+4G95/7teP9JlZn/Guv4xoy2aLp7S0bq1Fs0o8NwYTBAUR8mAey3YOCZqbbrP5JhklqGDKNFMsFEUqcIsiSjzEpfwwtEnUKHPuWc5d9bUGO9mC1jlnPZtqkGGM7TalkVFVdThBW4ePG0VsUkyKvKipLvSxdh4KKeQAxefWVtI0yylDGilqYxlfiJaUy2WF5Z1TlClm6DCYWduB3tvuMkyO9vpxsuACv5pktFqTdGearP32j0aFpEMCpsuMVMcp17xbKrSK0EjE3v6qoq90r7DYhsDX4xVVodrath1d9jlK1xP4XENGtxSGN7v68WiD5+jVrO2F2riOMUlkez3WwMWM6VHpad7TjiKomjAbbUsc5upVnm1Xr6K6S0Trca029OWJ9ScFxpbGXtLWFVqtlg3Rt2rEYlJfGWEJNX9XVkB1AuiUWwT77gY7mLgnkcJs+7aKlRGA3QT8K78Yfx5TTv0b573WF7e54Umfw0rQC8tLbCysmAtmYPurWmqQqL+Vl/fWTKd16F6FqZr6JMxFWk6RaczA6gSrt/vIhJYja3V1wmkuU1Q1GpNMTW1zQuJkcQqfBNhqKxQGA249Kphyq0TrXagmXM79rprE615ec0aqpwQWxSxVXCk6kYda2I9955YWFim3EAuno2gyeZxC8AJmE57FQYOh66xTtB0i8gxX05YdFqvSCJcqQ2fRGPAAlCb+MX/pps6ySzBKkpyEVJUs17ZjLLOtRagv9r3mRBdjFJrqsXUbIcojlldXGH+xn3k3T5FUVtK0nZGZ25KLQq2VEBp2xPr7lUVJVEW2eyyOatLq8RJzMrCCkW/8P73cVwzk05LV1WRda1QzY9EMVIZm0q8IpKk3rw+C1lMFVVEjhmyQrIGnNuXQ1lgxGoDD3Jm48MdJ5xwOx5yzi8yu3OWD/z9n9HtLh3qId1qICLc654/w+/94a/xP1/8T3bvvoz7nntfPvin7+OXXvY0Lrnkc1x55Xc31Jd7GZ555oP4v+9+Pbc99jj+7E0v5urLL+ezn33fQIzKVjLpk1xmXebYOilarXxze088PYs8nRy2anohMyjhE9JEdRlKyNotjS2yTFIcR0RJTGemra6uVZ84TWhPt32MZpxoZnBnRXTWxyTIGA4qHFZ9jf9x96kutwVVXJFmicZWliWtqZZnVMq8pI9q4N3YHDT+XV1RHb3sr/Z9bKZj8KIk0pIqRUmSJjVTYQXjJEtpddqsLi3XWmlrKVhdWPGMU6s1RRzH5P0eadYizTT8IU4i5uc1C62zbGoXLlmJhm4YY4ijmNJ6j4iUVJU+B9XU6zuvLMUyRhlVFeNcB2sF4ORYN7eGRlk7Q+X3VigKG4H11ouNuNAGB49Yj0NZWCf0225PMzOzw5ZlSr3hwPEfWdax7rVRwN/V/FzoQjuKB6ysBc1Z+6qqZHWlotWeHvB4SJJEYzttKEBe9NUTz3rGKc+YUvQLeis9Iqukq6qyTkgWRwOx2c4DLcw+Xe/RytP2ynnjmcjfa2g8cfu7KHoqhIl4o0BZ6j24ShgELsTGGAwVqytLLC/PDyTrCeEEQGDAm00rRdThF86CWFXFQMKydmuOVnvaCpOJjaGsPH/pQjR88k6Xl0UipqZmSdOMohh8dzkFggstAXzCNSe0umc3NTWrbdb7DwLL+zAdM4bKVN67r9XqMDW1je3bj2N+/gauvvoyut3l2pCzBQppP5/7e2Jj7dgYnE94GE/k3CWcz3kcqY98uLCduVz7sBqeRBNKDDNiofZ/sA7jYFKNNB1M8lDmhc8sa0xMv9v3AmGcxPRWesRpwux0W5P7JFpyJYrVJWNxz6IKhGnC6lLXZqItvdtAFEe0p9uaxcxqk0xlqMpKs5gllXXJUIG36Bf0Vnve/99bGtAkIVEFFaVnYiIijP1fJAZK7x7igq3ButYZwWbyDvoVCut2ayJDVYllnnLPvN5aLZzHHXcqj/n1c4mSmM//+yf4wQ/+51AP6VYDEeH+j34Q73rPJ7n/Q3+G3R+4DECz1Zk6s99GYEzFCSfcljd+4C3c5aSTADhubht/8fev4WmPvZzvfOeiAYFzM9iYVbPW4Icxmb70iFOgjbBkhoKnq4sZMlROyIxtqIEXTCUiSVtEEllt7QySaly6c0OLk5i5Y+YwlVE65sqEWGFNIiHraJxKb7nr69C1aPn7Mq6Or4vLjNRtK4rEx7bHaUzWSklbnZppCjJmuxpxYkovcFauX2sNjaKIqbkOZaGuuEVfmbPlhWVW9q1oDGlWEllPFYkEqWx95TQmzVr08y5Jknm3rpWVJZIko9OZptft+vdJHKe0WlPM7Jgl7xcsLNzslaXD73wX95OYirLUGLY4itV9rCxtPBteqBzOVJ2m2q9zw52UNGrc78NWzq3CRt13Gxwd2GgYwIAypCp9PJweM1rQHCdwdjoz7Nx5Aq3WlLqyW57ElS+pqkqtYHlvUAEuDAiazj0zTCTjl6sVLrzbrNHYamd9dLF8em+1ws8JNtqfKuv7/T693grq0tny91FVhjjWxJGmqrzrr/YphMokZ+FT/q4MYgjV0uo84ZAquJchPsy7hVa+HF2vt6JNGHUhLkv6eZdeb5U87+JqeQ5b/aBOBKSCa+mFY2f0cbkBNBQjRaTvxzQ9NcvMzA6ytEXfJpUsAoG1055hbm4XlanYt+9GnJeR4/enp7fTbk97+ueuE1p3u91lm2StdnkuityX9hKJmJs7hrIqg+cauiIPluMqy4I0bbF9+3Fs33YcSZpx881X0+0uW6G+ziC+lR4jjWXzoGAwrsUtHq/Bt+n3nXAZx3HAgGn8kSYKSrxmwi36QYardh8L3XOH3Y2UAakzMOrCFm9xTJy7a1FnNYyiiNmds6q1jmuXqLxfkLUjVhZXMMawuHeJqtTkGarxsoxrZWyWx4ysrZryrNMi7/bprfbo9+pkG2VekGSJZrXNh0z2kXMhjimNQYiIIufeUY7YEBFRhLVwxhipgMTPR2QZ0qLokxtDbIO7I2KSxCZQIfHzYIwrT3Lrwk9+cjG7L9vNmfe5M2ed9dBG2NwE9lcb6M6bmzuGBz7iPvzwsiu48/3uxCc/8v+xfWaauz347nzo/Peze/elG+qvqko6nVle/pd/zk/f4Q6UVQX2RXTqMcdw3jvfyG8+7qnceOOV/oW0mbGObwsLoA8mGYisYDlMA0Or5LB1czhG09HFwVI7tTUgihPSVJOxKTNS0J5qE0XCMSft4jZnnMjpZ55GJMLS4gqXfP4SojjywqbTfvdWlMkr8pLZHTMUuSb6kSiq49ONsfSv8MIdosGXUawuu61Oi7SdEccRZVmRFDrmol8QJxH9Xq60t7AZvQtlKOIkoqpUWHUhDt3lLnmSW68TdbMqlnL6iZZjaXVagQLRZUcUpqbm6PdXcdTVxbLH6RSdZJruyqq/77SVMjXbYf6GfayuLvlQDrFF6KHWnDvhHvscqkqfWxJrcjaKHFcCwceGOQGxqhCrdFBGr47HH1dXeyswLDiMEiRCOOatEUCPLmyUhg0jfO7DoTgwWmES/h9FEVNTc2zfdqwVOtIBzw63T9TyNOtzSDhvNgJBwNFMd40BN/OAb4kkJko0tlKiSPd+3EYkIrOhDM4aFydadzK2grTL/loUfa/oL4o+SZx6192qMurCau+/tBY4jNhj6jjsqtLKAi7My1lf/TtIKmW5bBynAYyPM9TwAV9ZwP9fWMWfCp/9fpdud9krOX0iJRuSZicMgxkw6tSKV5twjkDQtVZTN79zszuZ23Ysnc4MKyv7fOUC7DuqLHMe/DM/x8te+at08z4v+/XX8KMffTNIDKTWUJeTpCpLojim1dJcAM6y7IRMNzYtvdcHU2eSdX8dT+zeiwO1v1HFQ6czw3HHncquY2/D8uICV1zxXfbsuYZeb5Usa1OWubfwbqUSrxE2txR1xkRHrOpssjZxRZzaEigu/kgtm64sSmSLyIb1ktwLPRRGa+ums5amA8HXg8TNbrY4UhexWGOM9HtK2s5oT7WIU+dCpoKpiMZrxokKm07jr6mwE9ozqm13pUrUTQzV5rczOjMdz8D1ezlxqtkXxSbeANXi94A4iBPVep2lZUYrL2grUQORujgvBHFpZe264OZeN6ke5wgSeW21LMv6bxj0H9avcq6ItyYsLc1zyef/l9vf4/bc/Zyz+NQnO/T6q4d6WEcE9pcJdefd9cwHcfHXv8+/vv9T/PJLn8ltbnMGV115HX/1mt+j3+9uuD/38n3beefzjte8mRed/4c851EP5z+/+11e/qyX+PI+KmCNrxu2GQt/uE9cSICjfy4GPYxXD2vFee29yMCxAzU1bZIMf753F6qF5TRtDQi2rnZwlMTc5QFncsopx9NKlf6kScIxJ+3ixqtu9DHqlXXNSjPNXFuWen7W0ay2yqRoBtkoqO8G0O/lmFIT9Ow8YQfT22dIkljLN+WWibSCatHPKa3lsjRaxqQq67rASabKOucuZYwhzRItj+IFSXUrS1uq0Mz7BYmNKa2KUmOpIqHTaVPuK8ilT21FVLrentZs4y67ZGemQ5Kl3HzdTaqFty60qnSMvcDp1kYUJ1rypKqQWIhjG6NkXeJcAjZlpGs6W0ltzVRrQuyF4GFL5/j1FjL0+0ejBxiyEZr8sCTBuGs3OLyxP/Rr4nEMCpLDCsZRgqbGj6d0OrNMT2+zPFxN/+I4tsr0ej2q22ZJ3l/L8wy6yxaIpGvePU64cgkqXSiWqSqbZTpTa2SY4b9Ia/7VWlBdTc4kTimoy7Nord0SIfI1dV2bMZWtDh7V/4utX2yFTJ0XFUqNmAGh05g6L4GrNAD4agHOKlvkPZ/tut/v0eutqNHA8tWlDRELs926Z+LKgCRJWltknWEiiuq6viI+CVQURezYcTzHHnsqIhGLi3tYXNxrBUZL421MZNbOuM32bfSLUl2VbRWEJEnZvv1YyrIgz7v+GlUl9HorpElGFVjHnVdiWRivnC2rEikLcnv/eb+3RsgcWJPA3OwuTjjhdkzNTHPN7h9z001Xs7q6aN/DsZbLMYaqWtjyBLD7LWzWFrStHM6RC8dMudTIgF9U3hxvS5PU5vnEC6NhQXKXORGcoBhkZbSJGUJLpidU4hJaFANxTHGceHcusVrktJVa965MGZVImay8r3XmilyZniSN1VqZo0XFreZrarajRXyDjLiFjS9KbGynxv2o8IjRJEGgAd9uE+W9XN1vy9ILsnEc+bhRYwxpntq4AigKu/GrChFnXYhIEqgiV2S8HPB7D1NPh4Qmjus4U/d7RJ0FLLZzXme/NQPnK47ODWBMxTe//p/8zL6f4bQzT+X4E2674TjBBvsHx7DcvOda3vG6N3DlVd9jfv4GFvbdyIff/J4B95yNWE9jm9r80kv/m6oquf6K64lEuPbGm7nkks8FTFDMJGZsmKFfz8rklF+JDw1wDFVNt5yyzdMxK2SGNcrCEi0D7vQBLXRut/4Yl7UvqFcMakVsTbXI+zmreU7bKrsiEXbeZhfXX3EDK/tWfM3L9kzH0yANXRBN2NOOPP3x1tWWLR9VVmoNTRJ23mYXO47dTj8vWJxf0hjNrlpK01amJadaGWXR1TrISWSFzZoxdbGfRT/3MaTeTVa0Vqcm6tCQhaydEcURZV4QWeVckbskQhVZu8Vwlm1TarzpzLZpVhZVmTS9fZreSo+9e68L4mhteQIxVIGbFmhsU1mWmKFkYiFD7BR/IkIpEZRCFNVuYaaqMN77J/LxR2Hm8XGWyMG29feFCZjJ4fU96ri18ceTLaENDj02owiYJGAOK92GXTsnuX4PC5maxGWKVmvKe1g5r48wuZmWKqn5nzhOKaLcWxXDfaVrPx45htCK50q+xXHqS3XEUV36ovaSS3yZDZfkxhhNEJZIpslrAgugG3PlhdXKl+AonRU2iv0edQaScKw+TpMIY0BsCRa3753LbNi/ow0qYK7S73Xp5z0fT+kyajvaY4zx7xhn0XTPURMvBTVMA+Wq+12F6JIkydi16ySOOeZk+v1V9s3fwMrqYr0ObP9htQh3r8YY4kSNL53ODEJEv7+KhtrV9UMBirIYWG9arqUOvQvbvOBsytoyay3Y9dqNmJvbycmn3oGqKLn8R99hYeFmyqqo3XZNRa/fJUlSWq3O2Pqd+4v9Fja12OuglvPWh9qVYVhw9HGLI5iskAlzwqhL/++0/e5lWGv1gyyNQUKNOiujHlPa+kLOuhrHCVk784wTKPFzGRmdNt+l1NcaS5rJ0DE7oHsoyRJa7Yy0pVqWpfllVhZW2XfTPp8NsT3VJkmddsUmBLHJKyqbXTHJUiQvVFi1m8Ldb5IpsUtsVsWqikjbGiCd5zbjookoKYgqkCSy2nfVisdR7DVCzq3AEc9Q8HTxCkUxWHC3qmIbX1RQWcLghNqQSIUvmnDDj96cR6ZAetVV3+fK717BvR96D+52t7MbYfMWgDGGSy/9ql+Pl1zyOUSEK6/63sBx47ToWz+eUHioXfdHeVAoHcx8CEAU1/HnNQ1TL40oEEJD2uaz/wX15Fzf3ovDKpKG58LFEiWJWjZVsRf5WMi8l7Nw0z6SNGHn7aetplqFqziJ6a50SaPUW3mdp4jJlHY5RHFE0kp97bc4jolbKtC5hD47jt9OabROcG+1x9L8MnkvJ8kSpuem6cy0yToZea8PIrSnbDbESKCL/o4rnu5Kn7iYLSFtp0yZKaXPeaFx8DYJm6kMeZGrC+9Uy5ac6kJlaLU6uHrDSu+UiZqem8IYdQtsTbW4/vLrWVlZWJMYyACROOtu5RUA4FxzhzNK6rN119PnXFiLiM2OKzJo5UQgCZKM2Cy3a5n7QSHBZdjcKCbT7KDfIfrdCJmHL7bKgjmqH5fgZli5sREhM03b1tvChgZYPlETpQ0mrnG0zrlPtrIOed7FxfSNSr4W2T3nkh+GQqgJ+CHlk0p3Iet5oJa4ypSkSYYpwxhLPVc9+1dsfGPN37myJcM1HF3m68pUmKL0/YSJ3dx3J5iGIWCOfw7L2oG1cJYFRVlQFD36va73uHIx586wk2YtP65B92JslQbnOhuW1qrnRwVcNV4AzMzs4LTT7kJRFCwu7mHv3uu1RnvujCiJH2NkLdRxElEZvMKuqtSNVST2NdyTJLEZw3VO1Jpdx6yGCoY0zey9DuZ0ydIW/SQj7/eowgoMqPJ3bm4XJ558Bt2VVa677scsL81jMPqejmKKQkgzQ1lpOEMca1kVHwu7BTzG/rvROi0A+xvTthFXs8OJSR9ketz/TpPgilc7jVVYl0yZp2jAbdal+nca+DhJfekTnwBnyGXWCaiAT8es7mbuZW8C9zQAFewcAwTKzLjvtbZF3WslioiTmKzdImurewWV8S6v7hrLC8tan6nQhD5OkNRCv5p0KG2lahm1mvh6LmKmZjtUlWFp7yLGKHFwVk+wQmFZeS2/iBY7J3IaJi107N0+rD97VZWUVqB07gzq5uYC4QURYzXnQhzXJVRc8iCRAmcdDjd6qM10MQdYK2gogIYwQ5t+lGuN/baRBXiLY3V1iW9d+C3u+ZCzuO/PPoD/+I/3bMqNs8HmMMqFb5yVZrPEf/PHj6qBuDZb6LD1ytPAQNAMXWaHlXPh3zrFfMQwQ++ZAmvNrH+rlWhOkaeJzGIvaDpFVFmW7LluL9uP30FRVUQitJKUTrtF1k59zEx4f3ESkbVTTKXhAa2pFmmm/TsLY1VWSuNEaWtntkMSxax2e9ZjxNg6xpqYSCIhSnR8ramWZrvt57jYe9AQBy3J4pgQe49pPFCSKkljLwgXRWmFPaVT3eUusztnSVspcRqzPL9MURRktnYaQOg+3ZmzNdXyghuuudpbb91ch+8+HZNTqDorR63Iq6rKM19lafMDlHW2ybLUZ1lGJVJGatmktnRQYBObxBhTF7r3AufY9RyPpcf1Gh7n7rhWeDXGWPe+W18oxZGC9Wjbhl1jJ/QzTIdDTyd3rtsfzuCgwkF7IOO20qzElrFQWun7QGMVdds54VHpRhKnvjbjqPszBOWfht4jUZTqXqtin4ioFkoNRdG3oQIVrVZJnCbeY80li8nStUpGx+OqMFj69iRJqay1NBLdP2VZDQiael7pBUHXZ53gMczOXVphW8veud9Km8TIza9ev67XGUmsNXutEios4+aEdvfIjeXpBsdTARFZ1uGUU47npNudxsKN+7jxxqtYWdnnrY1RnPj4SjcGLRGjGc7dvS2v7LMhclpiT+fS1uCMXAiI1ps2pm9paO3F40JF2u1pW75GBuYsa3VYaU/T73e9K3EUxczO7uSEE27LytIiN9xwJaurizpOa/kW9H2sfHBGkfe9IawoEooiH7EjNo8Djtl0N7yJMw7g2FuaKR98wTqmqv7fZXqq0xTXWt4iKEzu4jBjz4jFceJ94MXGJMY2tgnqeCfHZNWWgsQzba5IubcgZrFaEW3qe1cTCfCLOY71mNQKnGrJTLw7bZzUhcaTLKE13dbsiJV1e+2rhro1pdnIwkQZUaRa7rzbp5sMFu9tTbX02lmiwqiN+Yx7OSsLyxoXWpSY2CX5UNcyEXy8ZhRbV2ARVhZXdROYwQRGihxjai1ZDJYYWw2ZUSY1TTKvvStL625XABS+9qlqpGrffX22tSZf/5aq/ZbhWI5B688olxv9G+6hw0nwNHz3u19iYeFJ3PHed+S4405n9+7vH+pB3WpwMC2Wa6+1UYaszrzokvuEseOTYjMdDawZLvXw0GLVSUBPa5oWlnkC1mjFvXCGkGYtZfKwHiGxuie54uWgcZLt6TbdvE87zagswxjFMVVpSDLrJmszwop16zeV8ZbCWpmnQiFGM9j27TU6Mx1yG+dZlcb3k6SqbHPxlYDSy9UuRb+gzAuKvCCKhQTrDRMrI+FKUjlrq0vmFqcJSakWWifwutIocaJKvKydaZKhY7exvG+ZftT3zDKR+D7bU23iJOam3TcxP3+DVyiHzwUGwxGc8BbHCSUFsTgla+0topr62HtDhcyLVGGoQs2saZtl/ExNf90162OHYtQsQznK28SvceuhEkWJVUI676xogGmu1/wooXXrSgI02DgOpuVyXLt7zqHiebgtirQWYpZq6aA4Tr3BIPTqiOOULG154RPfdx3qEy6rosg1iU2aUXSXGfYsCV0vPQ0Oyl4oPY69VTVNU1VKFXntzRbbZJS2PxF1LW3LDP1+F1OVJDbzqVppU6qqjnmsqypZ+hCGN0QxWA+74bAHt/8G3eVdv0HZmKEQpihKSGwolhPqh5WTwy7yni5YpVZV4YVLgLIqKQNXYEEVBdu2HcNxJ51IVVYszy+zsLCX1ZVFnAWypgEJVdEfULAWRe6Vl0kc86DHnsNNu+/Gvpv28b1LvkYUOQVFbUyq+f3YJ1ACTXrX6czQak0NCPx+/DaOFfBlxcoyp92eZteuk1he3sdNN+2m3++qYSZc4wGdVm+/zGci1hIr5eDz2E9sUYKgjVo3N0OcDyXTHb5k175onUbAZ0e0tTMd8xO6tqa+UK/bzKE2X4VRp9HXjVSnuPZWgCjxCYRczJIuSjs+m/in1VEB0NWojJJ44KXo/o+stl1siv6y0LigkImIkgjT02egdS+r2uXWCptzx25j3037WLh5oXbhsudXpfbb7zp3YCUOZV7Sl5w4cYKaJgbqzCijozU/64VdSmkTYqg7bmWtAVESs7R3yW4EIVCEWTeAOg6tdpuIlAmSCJFKiS91ORiNTVCBM4pjEqAUoaTwmvRBreFgjJIyRjVDo24m4fyHsQC1ln1Qu+7/2/yy3WKIROzZcw1X//Aa7v2Au/FTP/WQRtg8yDgQgr4/lpfNMGXeDTJQmLk4mNpFMhpI4hPGZjpPjrC003BMur9WoMkNLZhegRRHvkyAIJYZatWF0W18Y5xEWgczTZjeNkXWbmk84sISx2ybozKGpcUVyrzwoQZpq/bkMFUFtj6nKsw0o6ynpUb3clGU9Lt9ZrZN+3ABU9q4IluuZDiraWldX908K/lw1kS1qiZp7K0MpXWnLYuS3PaXtlKSRAVrN1eOloNmD+93+8RpjCkrOrMdtc4uJXSXu1Z5CURCe7pNv9vnxmuu88rDcN6HLSY6Zvc81AKp91X4TOBe4LSK0zrTpippXRyn2OLsWOZYRONiK18L0Fkc1D1w1D6p39HOEhomH9KESOH8p7Z+XRkmRynrYvbDaz8UcBtB85bFVlgvxykNJh2/VriMPI8WxYlfZ0mSMtWZUz7NWvzyvOt5Rydo1m6zsXd9XQ9lWfiSUZWphdJwLeveKgcqGATMhCrq2y1du2XlBU3Hp0TWshXHWh1geI07d0tNAhaRJKK8WpC8DKO8FTDAf+l+HKyc4ObXeUfEMQPWwVCZZUxEYur66CKRTziW2GzWzg21MqUXoN29hc/Zx2razKzGGKVVpq4Lqm6nx3DSSWcwvX2GKBL27ln0JUgQIU2cxbJCKDEm93JAHMfWGtuju9ylKEvaacorXvgM8rLk6z/5Ca9+wY9ZXlnw86zjiLzXjpuHylQkScbM9HbanRkAXzN1QCGG8RZJF7IwM7ODXcfehpWlRW66abfNJjxoWXbvFqcIjKLE5ypx95IkKf1+b911uh72P2ZzDcHdiMBpGC9wHmrmetCKGYUaGBdYDAPEwxXfDZNWRBKri5WLT3JWTK+1qLX/zkd8WLiMgiy06jvdIozDdAKjq6vmYjA9AalKz7j4eE4XX5TahWRdXY3RJBJIXxmWSLXtZV5SSUXez31yjSRJyDoZ7ek2cRyxtHeJ7cfvIEpiukur5FY7D5pkKE60XmeSJf6apjKqXTLqKovVkJlKx+sYs9LGISkRMAOWy7yrLmdxGiOFZj9UJia386Zpp+tHK57wqNBfgNF0/c7dy2khcRZaiZDIIMa5GNREHvAEywR7QP3sLZF1wiQ14RcR75KlcBt/lGuM/2/DK/jAIWRZi23bjuP00+/GT937/pz5wDM54663pZUk3POc+/Dv//5uT+wabA2GGZ5JSXgOxJWv6BfkZemFpVGW9lGeKmGCnziOg9IjNoTAWTa9J4ejhZGvJ1YnDEq9d8aaLLQAMuw5IjYGPvau8RoraeOSjGp94yjxRbjjeDCjY2tKwwI0Sytcf8X13Pn4O3HTvgX23TDPld+7SpPw2FhzFwpQ9FVppRn+lbkqBKrSkLZTP29lWfnC5q2pFnkvJ2tn5P16vFBbLyIbrqDMjdK9kL4pvda/mplW3V37vT5JmtBf7ZPb0lEigonU0ukEzqzTIsnUwyUrS/qrfT+XZVGSZgnpzlmf6VazkKekrZSbr7mZfftuIo5jnHCmt1BbmP1aoQJRhkhdsZww5xhZGYh3jK1C1fU3oMAV8bTYZaU1kUGqCJFakenjr0K6aOk7AS1WT5NgD7kYO2prQOQSUJV10hBXs9Uzn0OZd4f3S4ODi/0VMjdjuRwHx1u5JD51pk9nMUx8Mpw0a9FqT/vji7wXWDWFLOtQZ/scjoMfFIiG90VZ5BqLnmY+jGUUvXaeZeE9OmHNxQcO5FkZsPrV81GWgQA5hMqUlLnux6LoURRBxlI7X8ZEUNUlg+qx1NcTROmiMV6h5JLn+OOrksp6h1VlgRFDEmuW1hIXU197RgBExFRoYs4i7w/JKBFQen7euDJ/cc1Xz83tYtu245ib22FrDef0VnssL89bpYImHnKCoeMzWzZrcFH0WVlZpNdboddbobvSZbnX88q7ylpWxa4pvddyILGoT2gUJWRZxtTUHK3WlJ8bdbPVDMBarq+0VtQEbD3jJMnYufN4ClsredDzD0vfobRKAkQQ4zwfWySBa7UmLC187pP9xX4Lm+Hi2RxDfLgR6dFWzFEWzIF22+aEyLD2W+gq5twlnLtsKKwCA0yRQ5gESDNqxV7Q1N/Vmun7iG1cUO6SPtQ1Il1NSu9iZbXuZV5gKkOSJaQd1To77XucqLtZq9OiPd2mSAs6M21md84RpypYLq/0WF5Yob/aV5ezSrXbWjol0dilmQ7t6bbGiNoF7bTdZaFa+qIo6S13tfZmN1eGzhY6h0Gm033XektatqWMbFrrMkL6kWdG1B3AFaeNbDIL5+Mee0ZCBdCYqnJMRkxkKss42RpTxgAunbexz9C+6KqKOEpsfBH+GD2uzijnhc9A31K/KMYnttAtdsvsmVarw6/9n/O4z8/ehxOO3UkrTVhY7fKTS6/kk5+7mK996T8Dl7MGB4pxDM+woLlR6+N6WvJ3/fmb+MInPsu11/7Yx87V1wyVaZZxsW5P4xKVeXqIBEm+asG0Fi5rS6bLyO0Va0NusuF4HJOXJIkyNf76zo1d6Vocx2StNkmilkcn3IkI7ZkOSZqQ91UANAaW55f57pe+S2+lR1GUShOT2hIaxbULvhP6iIT+al1HuFwufZx7mZeYsqI9N0VZVuTdXJV6cWDVSCLKwgp2rZTIWlxLGycqUidLi4Js3Y7py/saU1QWJYVV6GU2cRqowOpKpoAq5Bwdyjp6nGN2NLY/YmbHDM56055qgTHceNWNapFxlmWqAaEtfHd5YbTUGoCRiBa6j2rLostEDmCo/LopKRBTW07d2lMGVbwbmPs9jsS6vtbWYe/yNsKFbpA/qaFZOMUKlrE/18XhhwrEKDL6PnDWhl5d1iHcMw22HpMtjhvLHruZNgjcUD1dUnqTpsrwh5avKIopi9yvNRebGdu1kvsyGYmPw/Mu/46HHLLyOctiOB7AJm2p4+nCTKrAgHeJuvpaumN509BCqwl2ytoCaF1ZQ7hsr4BXtrhrRkF2VqHedy5cohZ8XS4ToTK1a7rjnd3Yqqok0tDIgb1ojN2HPvfGoKiSpJm/V4U1BkQRkRkOfat5YhcC5WmSo5FZh507b8P09HaSJIZIWFlcobuyiqkq+v2uDflIrLAX1G1PtTbl8vI8KyuL3jsiimJ+dPH3efu7/pH2dEvzpyQx8zfuI8+73gLqXJfdGJ0lO00yOlNztaeHMV7IBCv42zqjtWIkopO22b5zF62pFtddtRtjKlpZm16/62NeB5QVbr1FETGJz5+Q5z2qsq5nPSywbhb770YbEPwjFaFg6ZkpFzQrtTDo/M2d4OlQM2EupXOdbbFm0iIfRDwsWHohKnyZUzNZzj0gzJblkl64eJ4oEpIs9bWE3KKrCYzrF7/B1GIoSFFYN1Zhem7Kp+R3JVHa0211A7P15NJWysLNC/RXVevhshyWRYExWEZGr5ekNhGGZbjiVONLnZWyzAu6K12W9i6R9/rk/cIXRl/7nAZdWuoYMUFStSQnJiFrpVrnzmdGq12wVMBUjbcr4WJMpEmDiKxG263p2BMU0DHFkuLie2rCEEGkY4uIPJMSWo0G7yeyDgBBggsJ2vTprLn/W0rg7Pe7LM8vszy/xL9d+G3+96vf5LLL/ocbbriSXm8leClt1G2+wThsRmMfMhbDcMLhsIJsFK655gdcc80PAMjS1hpvDf1/0LsDCITJmha5Uhh6XJAcbShes7ZquvhOV09u0E22vp9aoeesnXmuMYZid2+YbML1H8aOOho4tW2KrJNRFRq/3ppqaWkTiViaX/allqIo0qyvQebtKFZhsSorpmYhKROqUpNnxJam9VZ6pK3MK8daHc38WuQFeS8njiO9vmUi4iSiPaNurEW/IO9qyACWpiWZ9l0UJVWhgmjezdUjxAqivZUeS/NLXpgsXc1N296e1nAE50aslpE6hnN6bop+z7qgZYnG77dS2tNt9l6/l337bvTM4Khs86FSQtdm6d0JNW4TYols0hAQMb4ou1vHSsfVJc/4d1XtzhU+Q0gCayYYE9XvMVPi3PPc2ByTNypjpzvGCZbOEr9t27Hc74GPBuBf/vld9fUEoI47dpneq6rY8hp0DRQhXVzrBr3+OZN+CxHyfaPqlod0tJV1aLenKYucoizIsjZRFLO8NO9poufXolpJbYwZSBY0cG0k2ENOeBwsDeJyc4DGbrbbGWnW0ri7Aat9rQS0Hfp67U7h7Tw+qkpDnPw7RWovEaXNkXevdBY4oPbQQoXRNE0RaWmse1Un3VLBx4YrBc9PpO7DCdle0JaIyO5zHaujH5WfzyRJ6dvMtFB7/el+HtyLxlTe4zDGxfRXVtnlEgPVQvH27cexc+fxRElM0S/odbu2jEjiBcfwOYcKAWMMS0t7WVraS97v1rU4JaLVmuLKq77H1e/6gZ8HFzvrnokKl3UVBeeCnaUtZud2EuYyqEMIlK91OUsAb8zK0jazO+aY2zVHkZfs2HUs7fa01uLM++xbuJFud9mvOSf3eEHX3qtaM1MNczDOpfbAoi7337J5RDObMkhY3OYfcgsL3WTDmm9hWv5hbX5IxFy8ktduRwkGF8cSB8ShQiLNTuuCyxP13aoZuUgFtiRTocrFYxqbCTGWmKoIYomCLIMSideYu3swxlAVFZKqC1a/qy4HUayuWxIXrC6tej/5rJOp9XG1T9HXDVjktWm9LNVCIKLRNxLlJNZ9y7nuhokgeis9db3t9QeYoapfC2kusYd7b1Rl5V3hCh/rhCWe+m5Ibebcatn5o68VYNWaqRnEnJXTzbPTxjv/9VCDXlUQRTa1tdfiWaukiGWGRrnX1nFZ+jdwVXRJB3xCDee6NvxyHXS1ORjCnjEVH/3gX/Dh91d0u8trrpFlbc466+GceOLt+bd/e5fPatZg4xjHTA3/FmKQUQkEsZB+jRAcN6MI9OcHTNagR0fNHIXWRSfs1YmABhMEOeHSZ84OaGKodR95f8Fvw/MUxsan1s3WIUkTZnbMaBmlvCSyIQPt6TYiGscokZB31Yuiu9xVa18ak2YpnZm2F0RDdzJ17TKUVJo0yFi6Vxk6M6qYc+60vZWexka2tPzK1OyUKvKylH5fY50czcz7udJxEfq93NfWNMZ4914XprC0d4nucpc4sde3iYKch8ZysWznSgXm1lTLvy+q0hAn4steuVCM9nSbJI1ZuFljiNKsPSD0O2WdU/SFNDFcZ+49Fyo+/bM1EYZBl1SJInV7c4o76oy0Tvmn2cPj0fvGDNXJNOpBgn2f+wQbUoe9+IQaZe5dvs8662G89e1/yIXf+x6f/bcPkuc9f3/hek7ilFIK/64fZnIb7D9GK5kH66pOOn4SrRsnWIbeGuHfYaRZS2lenJCgCVh8IikbeuKSnAE4Lw4RGZvAxnmChHtJx1PHSMdBOJY7LklaA3Vy3fV8v3a9O6HI9Ztkdj+ZyluwQk8Dp+yWOCKuEusFV3h3y9jFRrp5iyOc5d+VJxFsvH4ilKW6/7q96O5pwKJm6cnI52eM1787t16GclzU3oHJgBAWWe+ZDHy9ywo8S2WMxmvGUcKxx57CCSedgjHQXdYsrt4lV0LeMCZN27Ramhcgz7t0u8ssL++zingVzCO7zjSRUmugaoKjec5KGL5XKntvIprnZdv24wYSMdXZeKsBy7MzTrkyiFmrRXumw/LCCr2VHu3pNtPbpzHG0F1aZW7HLhb37WVxcQ8rK/sGwsOc8OniNNM0oyj6Af0/RJbN+mVzpAidocY+cGe1xKfWpDomK3SHrZNeDBOlmvGLPHGohdj6N8AWxI2VEQg1WH5xuiQXtauZYwiydkaapY4P1PhGK6Th3GHbKSFMVS/yUNDUP4PxJ8qAqeYryUrVpsdW0EuhKkoNdi4KK2iWNrbSZV2sbEIH7c8lE4oDVzKfLCNX4TbvFz7LbVWqe5euKzsuK2i6TZmkiReG6xsxfh5c5t0kSWi3pwZ8zP3/Uvvqx0kKBZSiMZxRZPyLYtCypBr0KFI3KsfIhFkMw5dUXRpF4dy2agYmeMm4Z2Lda2vmu7Z0jiLSa4VPXWEHipWVheCbJX5pxs6dJ3LHO96H573+t+mudLnyiu/yzW/9xwFf72jCOOvjOEZolJA5isEa9Jyog/eBINZx2EJYWwM2ouWHwTh1/z1wkR2MVw+UaDYrrWeOgjh2J2jWpZrigXtcc72AMXPfQ5rglFZ12afYxqqrL1bazpjbNWfrS6rQEKcp03NTtDot66lRsbqwwupSl7Sd0p7Vkh+xtWYmWTowZ2VZkpJ6jbSpDFjDrikroiSiNd1Wj4+8QGK1QJZFyeyOGd1DrZQ0iVld6dLv5fS7fYp+QX+1V9cbFqHf7ftrl4WWk0osXSz6LlttRJwmmjjNec8kkZ8nsXGlVVlQFiXdSGNJW9NtJEpJokgz1HYye8/Cws0LYAyzs7uYn78BYxmMOE4obUbMUMNun4b/f9hyU4dBaJp/RFSwNGENu5ppDIVX14djdDGVp5+6bgY9SMJrh9akLOswN7eLti0HsLK8j37eoyxz8n6XvOiTxAnz8zdQlCWn7NxJpzMTxKTXITNO2AhdGMft9wYbxzjatBEBc9L5ocLfeZU5nmzAyDBEM9f0g3hrU2zL1EWRrZFoz1dX/2zgGomN4YNBYdBdxxkvamY/9GAb9JTz7qVlYROhpT6jc+iBFwrNahnURD9lmZPnSsecBczNXegaGUURuOSSNh6xKHKv7HGfqirpLvfV+ieBoGv3cSRaNzKsb+ld0QMBy3nuAVSUDCiy1mSf1phOlxgoCuYvdOvXLLvWzVlKjfsMypnYTmm1Ohx77Cls334sEkV0F1fp91e9q7RDkiQkSSu4BnS7y+zbd4N/Bpp5uABUmZq1OrhkUCEfWIeaJFSV0nmfIE3Um67TmWF2dpfG/Pdyer0ViiKnLHOvVNRka7Ul2+VAqKrC11Xee+NNav3szxAlEVkr9UOZ276Tqak5lpbUk6XbXR753o+sAczNeWjd3h8cgLB54KlwbymE6aIHmKbA191pynEaMEc4kFqb4xitwAUMhje6i9UcIZgSDWw8Z5bXF2PbWghi79/vLIJpK/UWPS98VYOZtvQlG5N1soHYHXdsVRl/PqgGy9hsiFUcI5EVFm3ykKytxNMVFzfG+PhM5wpb+8GHTEIt9NW/ucQZusFMv66BWVUREXXSI38/ldGEF6BucC6gObTe2rIDytDUTJarY9fpzLCyskBE7Srgag9htThVVHniHVUQ2Xlwx5hY63PW7hux1ZKFqcoHhcFQE681sKx7mLV4hpZL7wtv3WutWOr7HIj7HIMw1f/g89j8/hSJOPHEMzj99J/ihz/8Buf+/LP58uc/zbNf+jt84p0XcM0Pr+aLH/8S933Iw/nmtz67X9e4NWE9GjmubhpYpmSYWfJu/muVXsOWQpF07Yt2DIatl2AZLavRDpVywzR00FIwmJVb610mgcAZBWs1Gnl997tLOFN7GtTXCC0Jrgh12kqZ2zVHlET0VzUhRtbOvFXThQTEScTMjlmSLPVJyyQSsnamWbFtEp5wLt2ecknXXD1LEejYMlDdlS55vyBJY0orVC0vrPjstot7Frn52ptVkLKxn2EMfZGXPsFaVRnyXu4Vd+oBogq+JFPX115ZeXdZfV6OdlY+s66xMZrd5S5FXjI12/G1PpM0ptVp0V3usee6vVSlYXrbNHAci4s3B+6/WmTcPQ8nfK5dt3XNTVNFVNRhBwPWYeMS/QyWKHHPXtd/5eloVaEWGccQuT+R08C3aLenmerMMrftWHYec5zO/eISq6sLLC3u9cXJnda+LAukLJAoZt++G1nu9ThmdpbZ2V0sLu7xa9LBe+bYmqFmaK802DjWWiUnu8tuVMhUBUVS809BlYDQ0u75wcCtc5zQGSozjNEQHKrS1pFURWyatlWwAB+nXpYqKHiaPTTOUR8XZuD+rwVPSyssTdFyFIP8d6io03wVlectXD1LrUOe26RtNQ9aK32UnhZFQavV0Zhp0/cCX2G9KMoyH8hZ4tx1jTKn+n6yPLGpCu8xCODK1I17pqNog9L7thWea15e6U29bkTqbK7ah9bidFZXN3+t9jQnnHBbZrdtR0RzlTi3eKc8cMl5nMeLulDnLC8vsrh4M3ne9+8jVSokJEnkrZlq0Xb13evyUFEUgQktyvikQy4RUJIlLC3sY3V1SddZ4OLtyisaY7ys4NBuT5FkKftumte1JzELCzcNvFNdor2s1abTmSVJMvbuvZ5ud9E/FzePqohU/kOGnuP+YIsSBB2uGN7Qg8l/ht0pvKuAjE564TJfQS1U1C/62krp+gSXdc+6nbnNGQXlAEYImmma+kQSaZb4LIOOQYki9fN2jAmIFwKjOCY2+CLhAFEak4jzqS+9VslrnyOxNTlj76YbJ5qIyBhdzM6amLYyClsqRQVgoepWVugLrSDiF6/LvAhqnTSdwbVTRa6AcElihWhlvgiy28beihoy2F5Z4BhtU2d8TLKEKebodpdtOv5aGHMvC50Hq8lz8xLVMZwxdTyRqcratcMJq1Xpx+PHFPzvXGbHCZ3G1Jo5717rX76un7VMzZqXstUGKhEiINpurje2V+95z0fymnf+GTtmZvjD572aB/78A7jnI+/J/e99Jh/5m3dy3KnH0Z5qc69H3ov2303T7S5tqN9bI/ZX0Bx2RR2kXYNxjq4+GiJr+sIYG3s8HL82ylU3GhJka8sAQ1p3Bxej6WkhNa10iYCcZdOdX2vIq7XCMsPWU7WKufqcbpzDgmYkMWkrY+6YOUCT4ySp/pa2U39dl8E1TjWm0SXtKcuSLM00hjFLSWw9yzDWMrGZap0izFTq5hXHEWkrs4nNCqqypAAvQJaJzl2PPtdfcT3d5S5ZJ/PKPFd+qipVIHRjdGun1WkRJzFlUfm2zAqvcVIr0VwIA9TMs0RCBT5e3xhDv9tXRdxMxydCWl1aBfBC7fTcFFEUsbQ079dKEluh25SYOAHrvaEhpyWDDHqteEuTjKIsgIqizC3z58IK6qyvTrtf08xI6W2ckCRCmrZotaaYmtpGpzPD9PQcM3Pb6My0yTotRPQdtbKwzM033MDi4h663WXyvFfHV4pmBQV8AowoilhdWWTv8jKnH3ssxx9/GtdffzlVFYRfWKVKHCUUYi1KZrwnQ4PRmOTh4axX6x07/HvNxMdDNDPg9YaUWKHCHwa9zAaU9NrqlV1OuWZMZUtSpF4orBMHhUaItYImAd8YKohDml7Tv9rK6cZkjPHujWuE9krjEt01BpV6Ntu+vW7o9VXT+8hn+tbMqjllVRLDQEmgWhmYePo+bHRw81pVgwobdz1w2fvr+fZKqSHrJ1iLaZQglPYeau+KWqHlBNSSKHLviL4XNKuqIk1bnHjiGWzbuYO8X/jSU6Bus0mmQqKvhVxo9t3CJgBylt4kSX39dRVQU5/MLk01TMHNsSb5FB8LX1Uao2mModVSD4ypqVkA8rzHyso++v2uF/rcs4kk9jyeZsSNfRxlVZV0Zqfor/ZZWVnQ913pSqQEZQZFPUZWV5d8zOvMzDaMKen1VvyY3dpzz7goIt/P/mK/hc2tKPJ58DBZyHSbcVgbr8RksHTJoJZJBpIFwaDV1P11sQEEm3hAUI1cltnIZypzgmar02ZqdmqAIYli8YKV16znmolKGRyNvYxsun4tNaLupu45qRstxGnma+tE7cy6jdWp752wubq0SmzdtXQMtlRJOMvWiunWQZwGMY7WilCWFYXNfKuCpzXpl7V2J+/lypjlhS+14oRMZ93MWillEmsyjtJdT5kmsLFLZUlZVBR9JQhFjo2ZmqXbtRupFLREigZ/D8ZmaibEKNLkFU77J2ILD4PPnKalW4YEXz8vgzEKqj0MtfuVTaUJYc242ltgOPvj2iD90K0sPDdk5l1hYKfdHNVnmHUP4JhjTuaGm+f5yN98nJ9+zDn8+OIf88rfeTb9ouAOd74XX/nnr/L4//PzfPvCi0mSQbftoxWdziz9/qq3is/O7mR1dZF+v0sr6/gaZVVVquLICkI9e06WtX3K+lZLU+DneZ8875JlHRsjVpHEKe3OjI/zyPNeIHwNWRWHtPKTrAIDdQkDa7mHqMtDWLYkVMgN01E9ZURsp9O+BnWGh5NceFoRj6qrOVpp42I/XViC7tda8ZS1Wuw4fgcuDjG27qHOuhfHNbMWRVIrraKIONU49TiJa+VZaTzdNMb47IY6TeKTghljlD7GwtK+VS3JFNdKNhEh7xfEacLSDYsszy+RZNaq4LT4hXpS5H2biTsvSNKEOFFXZOfRorGhWus4c+7Ajr5Xgwyyo59REqvgbGl4nKhg7BWBVcXygqbnj6KIuKV1jvNen6k5jTFd3Dfvn4fLHFmJKgoMldfWO+VWHKWUYJkwde1y1gVnsQiVYI75ieOUVtah1Z6m3Z5mZmYb07NzdGxCpdZUyyZQ0mda5OoivLKwwsLNCyzOz7O6ukSvt0qR97SGXvAc1LVR3fvyou9j6aIopihzblxc5I4nnMCpZ5zBj3/8bQD6/VVyVz4hcA03pvJMe4PJ2D+F2+R4TK8IC2PDpVbmA545BwbcRmuhMrSc1/Fya4VNVaZUVWQV0qVVXGvolBoKXH1FZxm0TP4YQdO7hwfjDGmvK/UkAR/rUJYFSayCzbDAKV6YqxV2dXutdHP1LFWodDGJqXUZTaAy5LnyP1UZB9e2lsHWlH8OEgg8IpFX7NTW0tF1emFQhqiFzcpnWR11TmS9LDAanz2cwEwFXIJ9LzZBmSFJMo477lS27dxBFMcU/a793SonIkPWbtVedPZ+u91lFhZuYnV1iSzrkGXtgXjUOI5sCFxmY3WdUcjY91+sXmtWSAXneqvZh1utKaqq8sKsZr1t+XkL4yUH3sGRzrepKtKsRVWW7Nu7RxNI2XeyK80D+ARErlyNo4tFUZBlHfq9LiL1XnCyTxynRNJjcKY3jwNyoz18XOgGF+Ua5iywOoZac2/R9Nr5MMlFrZH3xEw790Shvt6gtt9t+oGYz6jOnOhcLeI4JrOZzrK2auGjKLIJHNS6R5oMbB7312mRXPp7Y4wWALdJI0Swafwjr4mvrNZHxxaRtROfxCLU4KtxzWCiQNNXGcq8oLfaY2VxlaKf01upC71GVhDUeVaLQVXaT1FbU8vCud6qlr230lPf9FWNcTJWoPVCrs22GycRPZvEaPjloIyjMrlJJmSdTO+3LNU1rdAskitLy8EzK+yLpvBWTFcn01kGHcoSmxyipMQKnC4zV+U0asOCeO1iHf7mmX+vzQ1qxjlNWSBIuJdpsNJ92nKotVWO2dO1EDBZ1kLvAsgdKqOaS19E3miQ+mWXfY1dO3+LxT2L3Pdh9+S9r/8A/7t7N//vA/9CVZS8629ewwf+rsXyyr4Drrt0pOBv/+mTXP2Dqzn/93+H57zwlZz1sHtw89U3cf7LXspv/dGfcLuzbkfRL/jomy/g3o+4L/d72L1Y7HZ5xx/8DT/4wdc57//7a/7gWc9ldWWRN334Q7SmWnQXV3nj7/wBT/n15/HON7+evXuv4/4PeBy/8+bfY2FhiUu/dhl/+4Y/BoJECDYD7KAWvLYYDqyTgB6GCoiQyQ+PHYwZqhmEMEQg7HcwflQGvrsxOpchJyg51x8n/IZr1GBszcw6JjPs1wkKxrrcY6zyLEnZdtx2z1hFiWV8bCbsKIo0OU5VC3/uHrJ2SllURJH4jK+qGKuTkomLo4601NIAE2pj5UFjN7XemSHNEvr9wrqzqjJs7/XzRInNcFtVUCgJUebPxqRnCXEaa2hDaYhQRV1q6xSnWUKcJkxvn6aw91EWpRUQlR73+6sURaE1SUXd/DrTM7TaGVGkCsz2dJs0S9h34z6WF1Z8pt6827exn3qf03PTxHHM0kKdSMIx9FXVd4vL0xjX7t6lxlpHXGZJXcsxrVaHqaltzMzsUPfXmWk6M22mtk1rbO1USxPgVU5paZN82ER2vW6fMi/Ju31WFldZWVxiZaUuuh7HKVVeUAahDw5RHJNKa4BJbbWmuGlxERHhdmedwTe+uot+v0uWtb3SB9SKrv87t73GsjkJkwTNUdmCxwl7DlEUkcRpnfF6QKFf1zkPfwtL4wx7U8TRsNJt8F3tx2bdZgfChayw22pN+WRAvl/rRhu+y0NB08UpiuDHGvKgg5m9Y2/REuo4qNSW/qh5iNqaGY5lOAGPj320CqCyzLWcSmrsPjX0eiv0+6tKT20ixVoxlAYCu1ohwwSIni+rXJhQPabh5z2sLK+q2qrpzgufR7g+ELHeBfoeCJ+ZiOM3VYg0qJffrl234Zjjj1decFFjIbMs80YSz6cnamRZXVpleXmRfftuDOqblqRJxmqg2MiytqdlxhiKok9Z5PRtojFVxCbe5T+OEooyt9+Vxiwt7WVlZYGpqbmB7MU1D5fYeal5VV9XXmLSVqr1l/NuHRZmQ8GwQrw+lzp7eFFoAihXApCBdRP7WshRFOuaOcCEaAcobB4qjLdchgwMQ23DLmnDQqZnnqgDkJ3Wylkbwk3jYjxdn8CacehowyQaCVnWVgEz69TmetRlNJudQgQfY1lVFVQGInWVxTJFLnthibqZubhOgH63X1v/kogoq4sRl4VN+57oOS4mM23VWbMiG89Tu+9qwouqUqaryAtWFlZ9yv/aWqGMXZxAYXLKVjBnlcY7uLlxCTQc8xVFgokiSBOipC6A64TLql/R6rS8u1qR1ws/iiNcdkin6a+sEJW2Ui+QT2+bYuGmBVZXlynL0KKYe0LjLJautpEtr0kVbP6iAKmMJTY2xb9L2EPN1IdEeZhZd4Kt/q9uaFreoc7w6YoHu34dHLEZFh6UmU98DIBTaDi3mLIsrFtZbmOw9KUYSezdTBYWbuKSr32fl/7ZC9i7tMTu3Zfxsmf/Ppdc8jl/nV5/dUAIHnTXPfrw0qc+gz9+69/w8If/Ciff+RRe/KSn8AtP+S0e8/jnMLtzlje/6NVs33E8j3zqubzx5S/hZdN/zmfe/3G+/vV/5dxzf507nn4yZ939Yfz31z5NFEW87jdeyi886znc5S4P5PjTj6fVmqLVmmJmZgff/Py3ueBtb7PaydqlPxQyB2JUvEC4Np7CKbjccyvLwmaXG0zq4mheaMXU3wOt9JA3R61EG4zTjAIPDmfJdAoN51YVR7V7uWqeawZCf3P00llYBxOsOeEvimLmds2RWRoaJZo0J22rUOUEwTJXgay0LlNZK7WhAwlxUsdjOs+NKJIBBsaUlc1qWzNuSZr48ANN8GP3ZVHSLyv6PVuDr6xY3LNI3su1vmY0xDCJEIshTls+3KAqyoGkQWlLkx65LLLt6Za6w8aRp4d5X2PEut1lX4tPEF+DzdGHztwUURKxsrjKws0L9FZ6ZO2MmR0zWkPUPVdbu3lq2xRxErE4v2hpXw7GZp0tSv/shJoRdUmE6jIAMa3OFHNzu9i+/VhmdszSmWmTZClpO7XeJxpHCmhG3sVVylyZX+cVo54vhb/fpflFVlcWlamrSs/0O6VGmrZ8rU5lyJ07XuR/j6KY6entLN6sidFOufPJtFpTNu4vtvFxGhPsmE6ld42gOQ4btWaOEzCHzw/r9IZx6154Czw9GKBLgk/yFHhYhNdew6uFAo2FxMnAOa7vNG3Ryjq1ooXarddZN8P94faCIy5OQebpbeAyi4gXNCWKvPuuMYbKlNb62cfpikNBoe4vttYvXetlqYr1xFY7UIEnoyhy8rxHnveZnjb0+6t0uysD74FwnpIkG6DrtTBf+t99pltb7s3FS4ZzrLxdkKnfWUNdngqpeanwvtzzVNfeyr8PjamTe6obfOXneG7uGI457kSydkZ3pUcZhIVFsVCWEVIZWlMtRIS812dpYR9LSxrv7d5JxhhSa812GWpnZnbQ6czYeuslaZppMqa868frnnsUxRRFz8sBUZSwurrA8tI8adayWYTrPB3GGE2eRL1uwjmsqsorMbsr+cBcDgrz+n9ZFTY0zCZmqoQ0aw3ti9oDMzSUDSe62iwOKGbzlsRId7JAoNRjhrXvg65YYdxTuJG90CmDyS7CmCRlqGorKTCQOMhZjQyDhNS5GUTWZXZmZgdTUzOW+at89sIkScja+tDLsvKMUpIoU1OVFcR18h2XyMfBuQylLbUC9ruB1QoGXGDjNPF1MFtTWpctbaU2Y5XxQiYoI9a3sUJJpv7mrU6L1cXV+trGWk7Liii4JxfL5GKMVPumsUxqnXDCbYSxjA65BqiXeWHjB8QyXKm6yeZFbdmMaqJdZz+0KXZsSZiqrHwyjziJ2HbcdlrLbVYWVkiSxNYcsq7GQakT7y4bZiCMYptESOu/uZgiFTjr2pmO2aot3jVBrNdjnQyjfumoNX1qSgO37eSOcJmttYlhgows63hXDtVc5V5zWZQ5RdFHXV0S315VqV/nLoX5O//sfD7196dy/Q1XsLQ0T1UVpGnLawvdmEqr8QxfBu7FdjThd177Bl03nRY/+sYP2bfvRi7++pd4zNOewtTsFK9422vpZBlv/YO36ctptc/y0jxlmXPfc+/L3//5BTzg3Afz31/7NKeedDx/8LY3csrxx3LhJz8NYJlkJeqP/fmHctu7346LPnYRn/zI3wUC3qBSy8VTjhMQI4lIs7a67drQgNnZXWRpi30LN7K6uuRjmY2phorVh4qzQdescCzOvTW0cBrqRBLDbrIDJX9w2mwG+vIMpb9W7OPnlOYbn3Roam6KzkzH1x0uc3VZjW327s5Mh7037KXoawbXNEtpT7e8K2nez1lZWFFPkEisO1WKEQkS7OiLuyxLpC+a8dt6mri6mKtLXUSUVueV1r7MrJJL4ogbf3IdVVn5REFi+xeR2vPEMdqVZpRNbTZviSNaUy3iJGJp3tUyVnqb93JWbfkogCzrEEUJve4y3d4yZVVCkZPnfTpAe6ZDFEXccPn1LO5Z1H7ThN5qT62nSUyrnWkpmFITY5iqsllsIxb27ANUiRBj6YXf79WAckK15THbt+9g27Zj2XbMHJ25KV/DOUpqxroq1WLpYk8dI1j0c4iEylo2C+sB01/t0+v18Fluo0jfuqYiTdueiXUMv/PAcMxwv7/K6qrGmqvA0GbPdXsxxvCoe92DY9/+WmbabbZNTTG/vMyfvPD1VFXFrl0nUhR95udvGIhha1Bj3JyMq3s6iiGGWmhzCtMwWWNYVmnYy2wYnk9kUMB0zPrwNcf2MSIUy5Wnc314plwG6R6evtWW2OFrKj9T84rOyFG7ANfzV5YlSWLjjvtrs0H7+aRSxZDEEIFIqt5fNoaQXLxbp/NA8IaDyKXbHnxO7n3QmZ6y5Zn0MOc54oX1Sq9vqHAlURzqjNROSb22BJgaKCr19jKjPaickjPMehvOlcuiOjW1jeOOO4X2dJu8r+73WiUh07KAIur5kWjOkht330C3u2RjGAucAcb1n6YtkjglTlJmZ3eSZR2lOTY7b5yktNsREm+DylDY6zkeFWa0n1ZK0S9Y2NcjTlKbsCepLdkycLOeroXxuFVV+izpakiwVnhTQVmXR3HP0LlO17GyFWmSDShMAG/VFImCvDNHtbBZCxOhFdL9Fk5GuIlDzb9beCFRGvaRDxNYePNxwEA5QdXeuM+05axfdWIDg5ja1cu7REQRU9PbmJ3d6WvnhNaFOI7pzLR9Cn4nYLrFFvtYomog2Y5D6KpgjCFOEjozykQAvnA4opr4OHbxDZHGKtl6dLltr/LSxzkR6fjS6TZZW+M9Z3fOkrVTFvcs2hIoSnRctkTQepdRElEV6sqa2rhQlzgjSrSeU5H3EHEMSuV99U2kz9i5jhljMIW664qIt/QaA1EynKFMfOINiUBskLomOSp9Lb2kn5BlHVZXlzTzV+WKhCdUUkIJJjJUlVt/6kbrkgY5l1oT1dZDnIZuwLV6UCvlrVLULouaPXeWqc6szf6oMYDOxdARZbWyZ3Q6M0xNzXkCJUSU1l3N1YDyBYmjiDRq+X1QVZnGfiRZreG34y1suvPduy/FYMiylhVO6yBz5zY8GHOh8Vtan/Powsfe8T6uvvoHnHTSHXjCg36FJMk4+eQ7see6Pew6cRdveeM7ecbLn8sNN1wxcN4xx5zMTz/4Hpx6l1PZPj3FzJt3cPmV1/Dq33gh97//43jQox+FCN6KLRL//+z9Wciu67omBl1P9zZf8zdjjNmttfbeaze1U0XtGEHMiZEEDakDgyiIVkA9UBHEEwnqiYJgUBEUEUIgHpRKDBoN6IEmGIknGgstS1NWytrV7HY1sxtj/M33fW/7NB7czfN+/5yr9l5zbanac+ZdLOacY/z/17zN89z3dV8N/nf/6r+Jf/lf+B9rDiDwkrpKYdF9d0DTdopuGmPomrOWpG13aJsePjS6YU7TBU1o8eu/+Q9jf3dQCmaOCfMwY55n5BwxTRcMw4lt1xfVhRSO+9muuQDtBWQ8dl00bNc4u9UmoyKv8uxLo7k18qDfrwWQbOTWWvSHDoe7PdVCmYAPYlU4NF3A4f6A6TxSJqVz6G977I47lFIwnAYs04LpMmFicxxjrTapPjh6LdZ9WmvhjUFKCXYlWr8xBm3fIiVhF5CGfJ0XlFzQHBoy9mEaf3/o0fT02s57hKZOnOdpwcLU0BRr4USTUNLKy70g8VfLtGB4uuD8dGH9fj1PoWlVRyzP5e64w+HugHc/fYef/uHvI8YF+/0d3nz8EULjMZzI9v/Vx/cQ5kmOCb4NSCtZ6u+WPS7PJ1THbgvK2ZOsT9Ig9d0Br159gts3d9jf7HSC6dkFN6dSvQYYEJQ4KrmGxHox5D6eSP9vvcPuZo/u0GMeZsQlolsjlmXBskwMmqyopi07OOf1Pl6WGTFOuFyedcLvfYNcMh6/fEQqBa/2e/yTv/Vb+gy/v1yw392yqyMZDN3efoDz+UGjD/7d44/XZH7dz3xlimiMyoxeMieqU/+1u6z+Lozuuy+br5estJfg3TUQ/DKqZAuyVVmBrGNCS5W1OJW4/WX97FuZluZ0yhDFbBrVq1qhbN7XXP035T0SoOKcvzofdV8gEN07Nq9hg0cBdOT815gWjpXyYt6VtOkXY0VidrDeNVZJT627VRj0lUMkQAJcJ4lwEYrw9ppys7sFBq6TDyys6ueFHVab48QeCh9++Cs43B+RUt3vjLMwJWFdVrRdQ5Eh04of/87v48svf6S6yZIpr914Sa+gPbhpO3Td4UpbaWBhHVO3nUfbNTWmzxp4b/S8G2YtzvOAmFZ03R59TyZB4vb7ciq+zeeUWrBpWhxuD1SHy3pkDCwsInuS1HupAoLyGs4RO1Oc4lO6vt/JxK7KDX+R4xv/NjVuBn/yus2q96k6ousxbp00bhpCUylAWxSeCiHRblSUfmv+s51kbptM+h1uNKXgcdWk4OV7phSZ8nBtZnE8Un4XQAiQoLpCV+r2Hdqeblrlqmc6s9YZ1ltmyplk+pcURwCZJUizVhI1QaEJ2B17jUERQyGAJqcmF8xlhheNJDds1pP5UOAYgMKxKWLQ8PDZA84PRKlyrI/ywSntQ5pFKqZAi4c1cEzxnc4jFVaMVpNWSgx+ylXj7IIjypuzyDEDDTsmTmRikVIN3N3GrRiDK5OPyGhW2ZhpNF2LUig/lKaCHcbhhGE8YWX6AwA1wSBzGKG/yiJHiLrdNIP6AaTp3Py3atOu9L/UPByPr1R4X3IGfIOtCQpNPG+w291gv7/VyUuOGesyY40Lcork+MiLTqWA0X3YhJadIcG0Wpp6bB11XeKNkxFPakqhcQcvG0yAJhMAbSTefftMg/7qX/0/AgCenr7EX9z/5/E//Jf/Nzi+OuK/+1/6r+H7f+afxe/93l/HX/pv//P4j/8X/tP4d/4r/xea0pSEP//n/zH8r//S/x7/q7/0P8J/+b/xz+FXf/UfxqsP7vHf+p/889jfHvC/+O/8z/Gb/77fxH/zX/wf4Pn9CX/lX/8r+A//0/8B/Pq/99fx07/7U/yL/71/Tp9Z55zSbcleveo6pDhr2x1Op/dsStSiaTsY41R7VkrBMJ7wkz8Y0H1xwH5/i/3dHi54fPArt2i7Rm3VjWE94LQgxqSN6TIumv81zwPWdSFTFm5KAZogSTQS8FWmyXWTaTWAfAvqxVjpn7K+00TToulb3H54xwBUpaw7R1Eeu5s9N5Uj2r7F8dURxhqcHwkcyylr0QGAC4RapORckJeINZPhj28CUkp1bWYkvO0bzONSXQcbj9Q2cCEjtETj/eIPvwAANH2DwGwV6yyd0zUip4JlIomCNJpiyCYNeU5J3ckNg2xUXNDPr8usRZzsXYJWd7seh3vSbJ4fTvjsx3+Iy+VRn+PmfYfj/Y1qI08PZxzvaa+SKBZjLUrO2N30ZC4x0HlyqCYgpRQcD/e4+/AVjq+ONCl1Th1zSymYx7kWX3yuhT7ruMmsxkhETyYdQ1D2j7FGWT9yaMZzKry3kCvt+y/f4nR6j3E8IcYF67ogxkVjUAAq7FKKWMYFl3nGZAzO84SfPjziy9MJn/3kS7p+bc+0cHK03O/vcLk8frMF5Vt0/LyTzJ/1O1tPC639trpFBu63a8K2uZTjZ00sXzZi9bOIEc3PYMdtTX42TZ9MmYQumnN1lxfjHvlZ7z1TzF9+1g2DZDP53DI7tuezlC2Ql3TN3GZ3V3dy+bzi1muY9cEAUaxMrHoNxFOEwOS+P2IcTzpNc66C5vPEJkjOomwAsvoZr6eNAE86y7WJYf27Il+UXkNYizDIm4aTznv1yJB/CsW1guAJzjrc3X2Im9c3cMEhDsyQ4VpR1uh212IeZvzB7/wtyhkvNf9S1oqAFuCaHgB2u1s0Tcd5qteAirUOEOo/pz+khe4zMRn03mGZZmVYqCkQf4c6BHAvXltiTwLLpWi6fn5++grbQprvl4AFgCsmk5gbbenS29e4pqV/88N80wnlD3/4W+X5+R2GyxPmZcIv1nTWBlPcXl/GkmxptF/n4LXNgauLkqBIkWgC4sK10WS+pMtunc30KGVDp73m+b807agNsEPX7bHf3+jPh0BNpeEGzBjANwH9oeemaFVNimgSffDsJGuuGipqzmjSGRqP0DVwwdH0kHVBLhCCDkNUJGlchVYKkD7Jemrq2n2H/c1eN/TQBkVimr5BnFd8/gdfYLpMm4I0atMkza8UkgBN7Lp9B++pIKFiL+lEdGHNkXwf+Tzek4tizhnLuKjTrPz3dJm0QAKg2h9tmrzcN9BmtfaARZvP8+MF0zCqy2/JGecLORtKISIPcVwXpBzrFKcURNY/lpyQN3TEr9tctw+yNJnSQJLgf4vaEZLWtjvs9rfY7Q5oGJCQCfK6zEg5Iq6Lai63Bf52cZDnamGzC9JtJv3s0kgK5VbolfLcADT11I2Cf2e7AUgx9uWXP/pWCZqMcE4A7HY3+OGv/Ba++PIP8fbtT/DBmx/g4fFzlJLx8ce/ii+//BFubz7AZXhC2+6Q4orL8ISbmzdIKeLu7kMNmX98/AKvX39PEc3T6R1ubt7AGNLGPTx8BmMMu3Peq1ZGGRrWXSGr3gU8n95jms64vf1Qg8W3AeJSOMj9J7FL/X6neZT9ocfupofzXoEkAFqcCB1IqPkpRiwTPcfLtGAZZzVymccJ83Sh5nSZUA3KNoYJ4vANqOZZMue20wzvaeJ49+GdRiEJvUniPPpDh9A2+vfEuii4PA9XKDxN11Zq2NQpm1geXylYOfOXXr+HMcDdR/c43h+wTOwiy+Zo60KGPjL9/Onf/QmavkV/6PR9tzFOpVCDJM29BnczsChNVugCSi4Yz7RWnd6fSHM5LhhP5JpK+xSts03ToL/ZEXVsWrFMM1LMeHp4j3fvfoKUIu9Pt/C+ISCjb5FSwsc//BjGGCzTgnVZlc0j6+3jlw9Y1xkxksnF/niD4/0B+9sDxccEseNnR/IN0CkGHIYbagIKaV8SeYfqMufqPZBS0nX//HjG5fKIZR6RJEMwRaRcG+5SCtZ10oJP1/K4KjCXS8bhcI+PPvohPv7eD/Grv/VDxJjw/qfviUqcM5apehqs84pPP/27mKaL0tD/4A/+xrdqrQMA53z5404xXtaPP2+TKVFwkiWstL0reVOVO2315ZVyXxlsWw1gXOdqrLMptIFNfbIZYGz/CWwanhd+HNvf67sDjKUak/SJtUGRWjSEVume8tmumHbW8zonTWmdIpkXn1ukUSFQZMayjFd1g1B75dxt6w2h7htjEJdVwXq5l40xuLv7UMHrrtvDOYvLRfTaQtfvsDscFRTLbI5WM9hTZVUZmvgJdXY7nRQmmFwjYc5sr1HVY9bJptReL30s5LsSEyfh9u5DvPnoI/gmXBm/kXSBI52agBQTfvx7fxfPp/domw65ZGV6zfOIgoyu3WsPsN/dot8dVXYkQKQMBei+JPadtVb3nRgpJ9R7B1hqEMfhGTGtCKHD8XDPtOyEZSGW0XaS3oRO12Gp9w43t8gx4fHxS+hgTfa4F94hW3q3TD2tsWi7PQ6HO/z0p7+DaTqRwRxfQ6JXJyzLiGWe8MWXf/iN17tvPNl8/fr79IW46FyWGT9fw1kbzG3D93LBeeky9pJS+3W/L8Y9GqLKx7rMmOdBb1Kh22hTu0GxrqyGbZ2E6qcXlAwZplREyrFz0353S8VmlvDfTpuhUqqDnzEGl6cLpvOIeZq0oAeYTmvqApFzpou+TBv0TNCrgOAbdP0B+5sDbt/cwIVUdUzOkcOhMzC5RnLkXFDWhBw8TcnmBaElN9fxNFLBw1SuaZBGJdUbOtUFYtuIi7YzGNF+1sVCC721us8aYziyhYoRGIPxNFD2HDsvGmuwjAvG84jz85M6L1ZKQYe+P5AmaDuddrQoNm3gqAL6b+MdDoziL9OCGMk97LC/Q9vucLk8kqYzZxJps36T7g/ivpNic62xKEx1AK4bRzWlso61dDt0HU2qRCvqLG2iYiC125EpiNDKMuthaz6qhYOHaczVJrVd6GSTEZpa5MIvrdUpUrSd0lCvcdGFRnLqck6w0W/Qs2vDrGUZ0XX7Xxj9+gf9GIZn/H//5v9N//vLtz/ifzP4/HOi0UrzuZ2gSLjyus5KF3XO4+HhMzw9fanToWE46XoUQoubmzc47G9h+O8l/3EbOyN0J2Md+v6AlNZavLD2Rp7RLRBH1z0yHWtG03SYxxnzOGM8j+pU7bxTjbjQ46UBIaCrx+FOKEB0nxKAFHU6tnIjOp5Geq4nmopKFAZQwRjHU4xto+mchXHk1E3FUtRN21qL3XGHbk9AnsQrLaUgrhStVHLhSVl9H+MsXCnI5tpkqxTWfG/AvbhEXB7PyIkYJrKe0lTOImeHyKY+0mhens7UfHYNlnnVvQYgBklcrh0uc0q6J6SYEPkzLViAE61jqzY/DY6vjmjnFW3fkEa/CI02oOkbWGswnEac3tN0QlxVd7sbdm31uFye9N6j9WHB8HzBzZtb+Oy1YRQwzgWDw+0BKVIj29/0qneylszjlmlWZoncn1uA1jekZyVAsD5b1js1vss5Y10i5mHG+eGM09Mjnp6+xHB5ZoCvZnuqiUipNLxtg5CTxK4UpYxlfr5e3X8M7xu8f/sZbj+7xT/1n/kn8b/87/8rWJZRPzvd11TEEeW9Q4yrFt/fxeOPGlJs94aXP1v3qa3ee+unUYH9LXVeaIzehyu9OtWEnQK2CpSGluNryEBKhgBbCdbLmk5rwK9pMl/ubd43KlOQPZ/uc2E/1fVrewiIVkq5agDq33+dTp4b6s05pRpu4wy9+f1t8yxTTQFhZO3zhv58XYJO7FxwyLmympxruBa+bvpKyrAcy0TX05HEyAEmyvSRWVTlWsO/bdhVeoQXU2Rc53DW73zt/G9gkJiZRTRQWoNvbj/A6w8/hAte2Q5ybjIqw22dV7z9/FOcL4/0uYyFkIBzyWpKR9ebwFEfGuyOewynC1KqjBhjjHqnxJgZHLXIINquze7atE4NhKrfgbMBpRh4nxFXaqj1GeHrWnh/oIm5w3QZNqCCU4AZ/BzouTVV8ymgBEpRhps4JW8HZ8aQ9Mxar9rQb3p842Zzt7vB5fKIrttrsUDFq0Si/AwRtLmeHsqJ3D6U2gBuppc181AQrUqv3eYcyQmTrMzt7x0ORPMchifKsLtaWGqgrCAtWwOgrRPhdrS9bYCt9WibDrv9Lay1WNaJR9Qt6SMFxS1GY0Hmy4R5mrAwCqtoBgwiwBcbWNcJ6zJjWWfEuHCjmNXCWhZR7wP8uwb7z29x++oNjvcHyuvk6aXEiMhn5y9F30ty2FjzmFNGXKsZT2bjItIR0aRxW4jotNdtXNV0qkcPdk6FsjR5wimaJ4Cz95jGKxMSKlaJWz9fJlwuRHOdZ0LzU1p141nXCSmtaJaeLdIr6mmMxcS5oaIDlQy6/c2Orv+Qqbkq1NweDvcIocX5/IB1mQG3EZ8zzcJ6MQnIWNdlk8N5vXA6SzTIrj+gCWTcEppO7ztraRLedXv0+52ikCkmioVZ69RDdGT9sUdogtKNwYZJMjWRBXYZF5qAjBelPl4BBBBzAofQtKpBodBzpygXaTyjbjryGimu6No9OqaKf9ePr3PqFo1NNQNyqAu6ZT1GNX3a7W7xwQe/hK7bcw4nNxKhRfANmrZDjBExzliXWTfhrtvTVD6umt+lRiy8KYvphnwuAeVyzpjHSUGKtEZ4zt4VffRkRjXhcZ5iOlzwWM1KcSO2AjzON2hooEeId8o1jmilRnQ8jxieCVQS0EOARFrPrRoAaUTHvCgt3zmH/e0O1jld4wDg9HDGPM4KoNF3vS5+awEpVHWjU0y7yQyGNbD8PC/TQtFKpeD8dNbCTkAdF5gKaqjRkwllyRWJp0gUT7rHbDk2hbMbc0ZKtBYrcBcThhPpTwFicUhTRhRnut/avkF/3LFDLq2X67zCWoMYs+a2Nk2njolUGK2Ypgs1i3HFdJnQs77VmKqlatqA7tCj+cEbfU85nykm5FjZJ847WHYRto4cdQW4kPWL7gsCJuZhVh3t5fGM8Typlp5AxUVlKh4BYLo+ZfIBAOXY1edt4+EgoJzJOg0jsI/WW9Guv/vpOxw6ih375d/8IULX4O/827/N5yFuvm9GCA1irC6O36VDnp8tIP912sw/qsm8Lmqvay2Z6GxdqQGi/F3p5Mx1nbHf3Si1NikTJ+N8fsDl8gywKRndf7RZazO5cdzefubt5wRqUxRYyiANhq6pX+M1sqXVfrXpErNAYY5kWFsbhJIzirk+lzGuPDGtDssAPQ8W11Kk0ARlnRGDLtama/Oe22Y6sVlQCBKtl79yPXPKJAlY6hSTPss1AxAAJPJKf5dBbnpPceK/buhf3kcvr7f8T/YuOcf392/w6oM3GseXNoyWUoqy9ZxzOD+dcD4/Qg1AjZFb6RoILJn3b7rmYpYpbKE62HDqcdD2ZOyWEn1mNZ3joUuMK9VdwNV6WCV2nptDq9dZzl0pGd4TE2WNNRJQzoHIveRQM0oBUES7CZpKz9OF7m9T81kNXmZu/n1qNvv+gP3+jq3ASXiaNgiiRDC8zKuUnEmhQ2wbTjm2o3Y5tjehPMCV3y8FlNfG40rzye8jjenhcIthOClVcls4w1Sxdl2EqgHRtmCpCyX9zm53xH5/p69JNLUGsAahoaItJ3LVy2x4kEQzqfbam1BiPm8prUjRwYeGNv3QIqYV43jeFKI1UyzGBc+n95iXEaenI/b7I/Z3B41H6Q8dDvdHbG34xZhBHkZjiDq7TkQPEyqA/LwUjKVIThzRdF0TtPDaHXcQh8HAjW5cVqUF51SUihcadt2NlC2Xubi9PF1weT6j5Ix5GZkOxYsH0zxjWeB8gHeeaA+lYOLr0zS9ooiyIXhPi7RvPJquQdMF7G93VeMZF72Pm6bH3W3A8/NbzMsE74F1LRUZwmZSAoOYViAllJKUrh1Ci74/IvgGoWlVIwoA3tN/d7uOijChpayJprZJtBrgz9pgd7O7oqsprXacMQ8zpkttxmmisVzx+Q0jXIpymg1tsGQkjkmR6eb2oGc1cKFLjsfeBYSmRdP0VzSY7+LxsyKh3MYA56Vlf21YaH08HO5wc/MaTdNjuDwBIK140/Sbe2gH4yzpPuwZZTpXRBPAvExou72ugd6R+VhmIwVhQhgGqKgoIfqnNHhCyQegukXRomiObTR6fwpdfZ0XpfsIXZK+I5mdtd4DPbkbH+4PSs9MkqM4zNSMsq4xRSpqul2rGkJrLUJHDQwMRTU1bcDCeZNpTbyOJKViyiFu2NsCxFp75X4NXIOkhf/cB4fD7QGlFCwjsUsc0/5LKcRECJ7Wxszu4Ny45pgAnpY6Z2E7OgdiKkSgngXt+bV4mMdZGzBjDY7uCOcsFnb6Dnd70nHGhMvjBcNpwHi+IJeEriMduPcBXXfQffj9u59ijQs72NIeJhT68TzhoJNYg8P9UdceoVWnmJjSWzTX+Sv3PIOXLjjOby5a7M7DjOE0EKOHdcCX0zOG4QQxNhLKnNzTjhvMLe1fQD+duGzWtFqIO8A69E1H63Bo9dp636BtesTk8eqTV0g545/4i/8E/lP/1D+Ov/K7v4s//Jt/iGF41gZTGox5HuHc/NUv/S0+ftY082eZAG33m5/ZZCpV9etNeLaNoOWakrwIEu819IykQn4FyzLBwMD5wBr3HiF0ePPmB4hxwft3n+L5+S2Wdea6dZNPbGqj+NJ9W47tgIIKdaq7ZMhRkGtNu2Gl/dHntsY66bkzlTbLf0j/YN8HvbdRGyNl+tltI8sf2RrVuNMvcRzdZv+hxq1OIo2B6hKd9br2So0uYJyel0QyLak3ZJpcry2tayF0+vzK+QZAjfKGTrutT+Q1Xt6GtaH1uDm+xu2be/jgsS6rrv1XNQ6fl/Ey4PnpS1rXnde+oWQG31GQ8zWLcvsaAFSaR6/plXEo75kiRVkZY66ZMpEAYmud7i01f5VNmtyGNQiroJ9kaPrGU6QXU2Lr+ldNUSGxYbyObj87XQue9qp2+atRQPLPbY/2TY5v3GweDvdESc0ZfXcgHcQV3/qagiAbhveN2gYbY5R2KiYRMqUENk0l02IFwQCkuy+qE1P92eZmkoaN/rsKXJ1z6PsbzNMFw0hh0PM86MOhIuv6ZTYLX3Xc0oYUBvvDHbpuj3ke4HmhIzOLBk3XqrPePMykESwFeYzc8EampdUQYmOMhrMuy6jGO4LMAkATWoTQYBzPiOuijoXUjNFNOM8jWzhn3H94h+Id61EK+kOH/khaLaHH0USCXbVy2bxefYDksEyvA/+9C6SbFKdCOcKmMSql4PI0YB6pSRbLfWo+a9ESlxXnhxOG04XNHWZ1jAVQH+pSKGw2QpF5eWBiJCOT3e5Gr1uKRsNs18WR6clEn7vlArgMdH11AmgMbm4/wDiecOHi/yvobZFi0cE7nlCFBl23h7UeITQbNP2ApmmYptjUz7tGrJOAH4waO4vgScTe7Tv0x57pdBR7MF0m+v9A11mei+2CQXRE95XPvNVM0H9npWM665B9gLUL/0x1n5VnwfsAaxy6/qDgzr/r0PjVwzmP0HRabEnskqwr9OesB9nfaqNpDLnKGuvQhBaH4z2st2h7uheavkGOGZ/+3k8xTxcUFC7WidZ1Pj8gBMpmbBpqNiV/teGsMACaSSla7f7QE/C0yTeMaSV6qK96c9r7zPWkKlLuFwFRgClJDW7oPo9XtZP1VvMujTXY3eyUsivAl+b55qJTSjIsC/CBTIGso+zIdVqULbFtNLdFQkqVRiXaboDdrzfxJABRW/URz6SJ7PYtgW9cCKY1Mojm0O7oh8fzxGt/ozT4uETVK4puPq4R87SoptywbEE+zzqTrl2+U1rJOfjm9Q2ZcyQqZpZpweVpwHC+6DqQUsL59ICUqem8uXkDcauGEddPB8DBWU9mLLwWhDbgcLdnkLZmYIrBj+SB5kyTDKtTbgtXapMpa9t0mTCeKdvz9P6EcTypbkoOkZzIfUnOypJz3eh6JTp5YwqcdYhpo4eT1zRVHhNCi93uyFPMFjVvlvXM1uKDjz7Gf/Gf/WdwmWfM04LnacJf/jf/Kl0/d4dxJJdtYx1MTuj7A2L87jSbP6vR/Lqf+XmbzK1howBwL193WwRL3QVwli/vWfLfxhhuPEcMQ0Db9Oh3R7TtDt//wZ/BJ/nXcTq9x8PD5xiGp+vBhiBnfGzfVxpAw86p0qyKKSSBcLXpw4sGZ/t68u/b7/eV8ylupAVVe7r5nCVnWH6GZe+WeKlSRKNPmnIXnBpsydqe7TapgWm0vk6TZQ+Sujiy++7LQZD3nozD2EySnquaubvNHa/X0HI9f93cyMZibWWPvWwU6TXTpvEnIOr29g0Od2QGt86Lsi/sVV3MDuDjjKent0gbTwOzmfpR7Q04l5VNtHUETmvUa2xAfgmFp5UAqP7f5NPTpJo8WOIauZ7fJloQUCFRW/JsaHbwhs67NdJSKi629+kmAo2fq7gBGYwxfG5rjX7d+Mu9XoGer3suf97jGzeb+9s9YvwQ1nrVthHdhU42WflXIwtFEl2lHRrNk6nNpZxEZz2cf4Gyi9bOEMIs2hg6QfS5JLsycpB3XCNrY7bOnrQw7Pa3sM6jbXsNtd26KtLrXnP36Z9VDOycY/OOgGWZ0LY9afH2Hdq+obH6KkjuiMvlSZGIZZl441vVfWqrRVgWijMQt0/rnNIPiBJFmgZZFFIiHjghZIn1Yc3VZ7/74A79ocMyzljZkOhwuyfkWYowjg0pWRbU2uQ779D0nFPHWihjDZChEzkq9IhW1+2IKmqdRVnIUn/lwHMpUuUhCG2D4TTg8nTRHE+5ZilFxHVWxDLFhheKgBgXeC7oJUYiRqLXAtRUNU2jdNAcE3Kiv1vWCU3sARCVNjRUbM7DqBoQamyJoii0WtFplI3wnQqzoNz+EIiuJiLs4/GOzJKYymx5k5DIA7rGBoCBLXTPyfSVGgCL+TJhPE+krRtm1qRUmuDXaURUr8SHgDMvkTpjEpvQZP0da/3VtFOMEIRifnPzmhZfjhz4Re2x/zQffy/67Et90rbRlHumaTq8evUJJPDZWY+wO6oTq7XkbNgwHVEaj2F4wuPTFwy8FUUwJVdVnl/Htux9X++RtieXaZou0tRpOo/qdk10ntoAUQi2VfDIN/4KMOr2nTITxDhC4pDkyNt1RVwRDd3zWzM0WueJiSHNTM5FKbzS6Cam44pmUtgSBP7QuqTNY846lVXNJb9Xu2t5QinPIQDT6NSwUmVJB1RKQWEdfE4FTSd6nIint0/EHGk8Cn+vdtdCTH/owxTkROeyuK8W81QA0Pu2uxY+OGKUxIThNJCO9PlCE8HLE5Lo0phhIZOPUjKen9/h6ektmqbDzc0b3Ny8wTSdIRTGpulwuD2g7Vs0fUvh5lKkRXLNlWZYDusd8lKd3k0wer8AUJOfy9OAxy8fcXp6YJq0vWo29PVQaYi5JIALra0jfMoRxjoFVEjHZokeWep1t9bjcLjDfn+nE1mZNMRlRQgNlmXU5+Xh83f4V/6lfw3jecSrj1+h9R43r2/wz/xX/5P45dev8Zf+hX8VP/27P0UItC+t6wTvvxs02q9rNP9euZl1XfNXa942ok4K7f3+jtzVeR9fl0nrn5yiMtIqQHBN3SU6KNM8sxTI2+lbwjRfsMYFbTtgHM/ouj3ubj/E69ffx7KMuJwf8fT8pUbiSDNZXjS28v3E7AaaNFEnX8Lycxq/k1GKrPV28/mrfKVOc+v7bIHdbXN+lbeZI3xp+OfroIf26dokGkPrbLYZwXsFjIT2K03nui64PF8U7E5xVSMuHxql4Tt3A8L5K0gt5kACBrycsm0nZDoQMqQJpP6y0j7pv42aBul13mjAgdqAU6P5AQ53JOOZh/kKFH95n8Yl4nR6R8/wC4YaHV5zJmlo5HWqLK+xLlHvDTHuWZaJ93uP/c2B2DqpDg1I55+v9JqA5MTXGi3lyOs4ywBL1ZrLHt80Dddd10yy2uDz4MzJsC3rn9HPWQVp5Fxt77l6X3M/Uq5lCt/k+MaV4fH1kWlUtUHbjr6Jx1wF0Ipc2YqcKPXVBTbD2eQlIvOoOcAVjzVXq2VpNu1EDU1o/MbGmAozCWvNnNElGhYxnBFjmt3uiHVta54ca+8WpmxuueyyQIgmoGla3Ny81qKg74/YHfZMpSJTlukyUSba+YRhOGkOYU4R8zKxm1jihqhnO2NaQIbhBOJmBz1XQOV155xRDDUGbUvNEuUrLvqa0jh7HzDPA57fcSjvoaNiJyYyrzgNqneSB0NvZA6mJcpUpFy+kahu8qBKkRfXyNotq9MD/bslwgeaDKQN0kJFLWmcnr58osUiZ4znCctCGjLP0Q7ycAi6DdaqpZxgGOgoOfGkvU5YSyk8PZcQY8pmAyQMl7KOXCCTinbXc7zKilKCurc653F3+yFO5wfe/JgmUihvK4QWTWhhrONpZo/DzS12tzv4UDcuajKjngfDVJTM58Nt9KW+CVjnBQ+fnyk6Zln03rTW6v1SzQ/s5n3EpbZOPOV80AadN3lOjVJYSvH6+qUUuJyQ4oqU63ew1mMYTkRN5mlZ1+1/zpXk230IY0OKDSmcK+OD7hNq3N/g9vYDfWbFcdBag2VZdHOZhhmX54GeG2ex399hmgacTu+UASGadyk8nCv8rND1vVweIdIH0jrXnEyAAELRmIbQsnMyOSJLsxdayk8MDTEDhKbvG6/O2aUUmEPVqK/zgnWRz0goLAFWlQomdH5pVn3wQCTznN2epATiHLtOKxKSZljKIdpBcUJVhHeNGsuRU9J4DqF8Gja8kDXQeUuMlHFGignH+4M24fRzm2vN5g9CZZcgbzFZ8xw9IGYdovmx1sB4p9p5AOzWHdlJdsHwTGyQZZoJRHQBKUc8PX3Je1fVT0vEQKXCUTHchBYprjid3uPVq0/w6s1H2B17+DYoaFg4miutEQvwleZbwUVIYQOl4YmxW0l0vk4PZzy/e8ZwPqlxx8sGTT4fFTkbmlY2sKai6/oMJQ9nI2LiZoKjBLaMpq474HC4w+5mh6YLNEnm+0Bof8iFQTMBG1r8zf/Hv4NSCvY3/wj+4O1bfP4Hn+M/8R/5x/F7X36JX/33/CrGExl+vX//qT5H3/bjj2o0X/697NVfZ/a4re+6bo8PP/xlfPDBLyGEDimumGaZylfX7K2jsDSfVBgnOOtJtkIfRHMv+ZNok2qtQ2YPAom+WZZR1zUBX5Z1wjA84/n5rdK5r2uIa4ZXLuTeDmNgbdKfE3mCHLLWi2SilKLpCdu/F3aLHFJ7Knj84lzreTIOpVB9nFKEd0GfSbkmxtDPL3NlHhFYxg7/C0lvxIOFJDQz5nnU53PLGnv5GrRegoE5NkzaTMdeTm9LgebRb5lW2+HO9qAm1+rPFOpI4XzA3d2H2N/tmflyXbOL9EMkEsgFw/CMaboow1LrUDZ3NKAmTKPoeKJdTcnEydajWXu0bYthOFPj2XRo+65mWPN9rBPRRMaM6zLzBLWFxOXU6y0TVpEIer5+RRl0pEetPRe4ltg22Qo0MGNE7gW9flqTiF70esj2lfv3ReP+8x7ffLJ5s8d8mdCd99yY0ReKMejmLh9U7ICVMssX2bsAHxps6a7eB7S7Vgsp/aDhuqsWZyQxIwCg7n7OVSMVKYzavsX+Zk9W7JwfJ7lfcaH8uJRoDN62CSkdNJsr50jmL0pvomnE8fgKlOfjsT/ulM4ln0UNDy5PLFB/xLrM8Dwxk4ZQUB2ZEBljdGGkLB/WivCi03Vem4dt5hBpRHt9mEopikaF0GCeB1hrcX6ysN7icHdgHWXUAso3BUZMcPjczMOsi5S1luibw0RoWa6UNOsobF1QPWM32UgpwzmLkh0vxFl/xzqL4XnA4xePuDxe9KEj5DmjaaiBGcYT4jwAhugDgQO5t06q1jn9c2qorG5gQm+uel6iX62s38g5o+9Jj5XXFU3Xwiw8YfReJ98y0ZvGM2ZuhgNTmiWyQSYFx1c3aDpBH4l6Jlo01WlJ0eZEixZ0sUgp4fHLR5wfzrrxGmPYsXPj5ryZmOgCLq61pi4o20X/iuJTiCorf54SRwrwfUb23p7/XeJgkt6z0S5EG971P+dK8u09rK32/JVKtm00qwbJGDKkonuTr79x1USh1PzHkjJtnok1dbcHhPaHODzf4/37n/JGVot4eTaStTBMP1ct0KZwEP2mrMUlJ6xLwrpMGC5PeHriOBLrWD9VoweCb+A8uYwSJb1Bu+/Q7Tpdz40xTNkN6qy8PepEEwCj2qobNZV1IA2KsCTkfAolnQddVw2XRJqIQ66CbMYoRV3cwq8KoJgwTws6Q4ZM/XGnDZlZeZNO6YpKPI8zTdIYcFuZtSATXuetOq8u84rpPMoJAEDr7rzRX4+XAdNEcgLJ0G3anteZno282IkRWRkGAlzK/SX6decCul3PRkfUUAKUnRcX0rk27bVDpZz3baHpckEJ0lSAzd8WzJcJz++e8fz+CVENn74+YkLo5CgF1tb1R5rxbfElWbIEajilZgvNOvH0WabtYiJFRnR0zcXZXJgo9P08sEbsjzcITcAyLfjLf/mvwTceS0z4f/7f/wbiGjmvlT6LSG++rcfPos3+vRtNt/HpqNO4CrbRPRBCi08++XV88smvwfuG6qySFJCQqQ+F21v4QNmPUrTv93d4ePgUyzxdfaafRb+tjUeEmKeI3wVpb+k5apoOd7cf4u72QwzjM56e3rI54MSF+XVzWEpGKjIxcvw8ksFeNWOjKVkFdOs0U15LDDNfFvPb95EBh2pKN82k3MfSLMS0UmFvKiUdoEYQDKQR+FJj2rYmN+D9vtYm1Yiz+g1AmzgxJhQarbwG/SMBpUYJbplqxCogratEuMGYF/eYDCWqvEwO7xvc3n6gjaawTWR/kDgWADAZLDM5Y1kmjnUJELkBAP5+GTmLZ0tlU0iTaAwlS5SU0R56Yi1OE5z1Wj+t88q6ylpzXTXoDPD7F+6u28nj9lzJ+hsnylN2lta3aRAggH6e1lLAOYOcIzGimAWy1dlWfS/dh963lNEe1+t6wNhqEoS/j81mu2vR7js0XYNu2TNqGdjOviJA2zw1Mbdomv5qQ6CH0iqC6oJXp6v6xblbZ1v7UmrOGwB1WCXUi/Q9iQO8qz6HNnlB4Xe31MRIrMTwPGA8jyS6XSPrZBghZ7MUocDu93d0AhsqqAQVTjEhlUh5YOcnTNMF03TGMpPbYkHRjDKZblKwsFPKpWcaqEQlSFaTONt6J5EogLX8QIMbb+s4t7GjbLvpApnWCiLufYPpPKJpiZrc9hR1EpcVkfWVcYma+wngiqI2nUddVIwxAFPVSilIMcM39KAv40Jov6UiMudCxSS73VJcjdWmfHi+YJkWdaS11qPvW+ScqnEECgzoQYg8iSb776hF8rLOV3ogcVaTGA+lRoDQKuHFp1RdGamYzfA8nVzmWSdQohd99fp7iOuifHpriULRHXrcvDqi3bMVJ58XQdVpAamPniwoW5RpnRc8Pz7j/HjWApNclqu2xVqrrpUyAQ1tQNMG5FxwfiRHTmo6qxPalsYHe138AVB3TGkshbIm03+7adTlud/tbvDmo4/QHf7dZlMO54Keq+3E+WWjKcyFvj+AYnASb4QUn9L3BzRdh3UVwIe07sZQMeeD15zJ4+0dnt6/xfPpPUcz1CKtbngZxl03voCssVQwWetRhKmyKZT4BwGAQQe6NybQc4Pna52T96RbPtwecLg/oj8wjTyQe2zJFIVk+P1LLojpRT4YZwlLgWWsUfdS2qDN1XokZkdKIdoYFBlL8T+yscv7lFxUmyjyAaFLFQGiDj3aXYvxTJu8D143bspDJjrtPBLo5YO70g3VaS8Doymr5lqAJmlu13nVqaZmwrlqzDWOZ94TyHyMJhy0d4heSuNKxGBHDT6c5kemNeL8dEbbNbqfk/M4O5Q7qxovOZcibUnewbC50bpETMOE+TJheCYwUq6HfH+9x2CvimVidliUUosz+rzyng674x63b25UOtP0xGSSKByZsIhB1DqTq65MOkR/LJopAR8AMsILd3u0uxaZfRV+96/9LkLXYFpX/Ef/wj+G3/70U3z++5/r5N7HBofD/c+/KPwpPf5e+ZkADQlULmC+PraO1oOA+/uP8f3v/Rk22FlxPj1c5fBuaZbQCY1Tk6Cu2+P+/hOeQD5T08SARaWlUn0BBvy2k2hqhmtMRs51Sj7Po0ao7fobzMuIx8fP8fz8ThuIn9UUynnZTrxlKrZ1Yt1SQrW5kHt4oz+V16Y1Sv8ATcNuvDy9DYGyGde17ivy3kLjBerns8jMKqlZ5K2CV91VukDwjZoc0vUlLaekFkg2sBgZbj641qVfvZeKNkPyxUQKtq7LV85vPVf1DUJocHPzBv2x17p7ez63n8kYANZgHkYeJu3gveeaUCjZpO2W4Q1JscjbA8t13F8pBcuyoLc7AoAL1aopJh5KOV6raz3nPa0bLlHkVdW0Gq1b5bVlHwazPV4a83h1CKapqcTaWZ7k6+dE0Yz07UR++3/HUkD1vMH1c07n1CHbDPszzA//uMcvpNmUwOacM6xxmJcRIVT6otAUQghX9vWCTMqGIzdTCNWtVQ6hFJJu019tUm3f6kPoZOMv5I5KWYJkUiHdfCkOWBlxYtqU9ZaiQRxN+lKMGJ5HjOeRshc5rFtyw0op9L7WwHsH46wi1r5xJDx+/4Dn53caMzFPF4zTGesybSZutBDklK7QP9EJWut0Ouk5ioKmaqMafIjph3DbhcosN1K7MQEBmMvPhh3rEjFdZjR9y/os2iCE2y9Hjgm+Cbj78BYAhZZbZ1WvCTA9Y1r4+l4/GGmlpjPHfAUOAFQ0xyUiraxBYhdcsItjAE1dl2XUCV5KK1Cyou4GHthYiqe4IitAEBXt23LzS07ImwKbEPQEoGYX0u8vSJnCz9tdj2WauRin89ruWuxuXqlGYH+7x/52r1McocpuH3QAej/LZ67mG5GjIC4Yz5Nuhtt8I83rdFZdjvtDx9o7ojW2fYvQeNx9dIe3P36L6TwixazxNVYnoFCkXhasFDNM8HBJIl68UmPEiGCLgPW7I473N9jf7tEfOtWDfNcPjWFiAGHrTLh1gxW0WDJKt8ARSkHb9AiB7sutmZQx5kovKc2TMDhun9/g+fE9Tqf3PCH4KqK+pSttjcmE7uVCc1U4bRvWP/tnv8DhIDFXABUzRtdjQftVqyXnxQf0+xbdYUf02+D4V83VpNVap1POpqX9w3tPNOLLjNjLJloNYWRzlslq/RySYwbW80dcLg1+//d/iZqmmJBixDzOcM4isntgKaTviSwd2N/s+LPxHhSAslT0WRpBYw3nXFoAKxC/yswpBYgrPYu725pPK2HrAK29QvG0G4qUAD3WOuxudkApmKcFyzQrKCoSCgeve81SRs0t9L5BKEHpWMNpxDwt2B132N/tOaKL9tK4RjJP4yJUZBLZiK6fpgoiUyEWCX/fCC1gXrq6vwRBtrWAXFvvPe4/foXQcfYf50ZbpiXLPSGxKwAB4U0X2LiJaNM5FSQGEowhmnXxBU0b8PqTV6S5mhbASh40+Qv8n/+vfxW/8ed+Bf/2v/XX9RYFSIZxXV1/e48/bqNZJ19eJ5vb+DgA6Lo9Pv74VwFAjQ2Xdd7obR1CkMngdaHtOepD6oHD/g59f6RGdR50cimg7dYFteQMuKD3ovgt0P3Hz3paYXJCyYlZZT26bo/vfe/P4O72Q3z59sdqKPRyMklr5kuvhOqkjM10ckv53hpiAvhKo7n9J1B9TcTjQ2pFGVYYIyZ0Vmvf7fWi4QDLN7paB/TLDZpmRbfrqSb7GqNBlb4Fh8DPlzHmqtHcrvsxpurQWwAUe70WvPhuxMjICq4ryCmNuIBQzuF4fI3+2AOlaM2xnSRuD+Ms1nnBOJ02+7AD5UeSQRrV3q0y4Oj1IiTSUDWrkHPh8PzuCSFQ7q5vPOxsdRpvXb3nycyOvDcEXJ3n/QZUo3tEJqd0TQVMYBmTlxi/AhcclnlFjFGbTF1H+T6m81avBVAnmi8pzUTfvjZ23E7N/ySmmsAv0GzevL7RPEQJuvYX2uAFNSSDngXLPBMC7wPrUAhV1U3GSQHtlPq6RUJhjRpSCLK9Lbqsd2wAsG2sqLnJOeukUu5Boehej7ZJi9Ifd9jd7AlZnhe1ZV+mBWklGpUUeHGJWJdVtXjzMOP54RHv3v4Ej09fYhieyQQorkg5qvmRFHWZBe0QdJ0fKJmcbalEKLXZFfSslIK+P0Ass4XGQvzvhRtVorV433xlc1xnmij6hgqS/tCTBou1m6UEdRV0jhrpZaTzIE2LtQZNaNRcw4uRE08bSinqPCvnvk6yC8bziKe3T0hrQn/oETfUunmcSUM5bgpGRi89T2Yo0yihgATa6zphmSelPkiTCrATsvfIJaDlQGaZeOacsHBcCDXyLeKaEQu52nV2h+PdkZBWJxsaacc++uFHFA3Q07mOy4p5WlDWosYm1lXq9xWqnzMi0+bG04jpPJI+tlxH4gB1MbVMXWm7Bvu7g+Y5tbsWbd8SeOEdDm2Dtm9xfjxj5CxDAQv0Wdrcd7SQVdfgnDJcJs2aTONyzkpl2x13pP3l4nOeFo3K+S4f0kxuqbO1yLbwjvRzUvSLORA5WdMa2nV7hLbBOi/aTBq+rgCtV5TJSBu9bzw/WzSpafoG3b7D7uEGw/DMkUCbhvLqul8Xk1t3Pmkatq6CAHA4FDw/767WYQFPtgdlJV/rfJ6eAGtntH3G7vaAbtfAhwDjq72750zipmsxrQYeHuMUMZ0nrJEKHAIAEzemBs57+GCxDsCaCEAUymtFpYG0ZvTdOwVAAXFZXYC2YTYMTzbnRaemIjl4OQ3W58laDE8Dx0QBthVAM6mBhjSlYocvDezKoBtAIGpoaa+Akbxjp8CuaKo2N5z+K03x6toR47phHBFibzK5OeaYsLvdY/WidSeXxeFpgLkj74GcigKFIgdIiaQo8zBTlmkirRSMIYOhDmoMtYxWJ/L1nNX1k78A34cvp0QGx1c3CJzzmhKB2B1nv5KDMuBAxhvLNPEkuJCr8g1lhZL78EoTrZYcIoGM/Q1NM+m9lIuGEuu0/O/8v/4O/sa/9TeQY0K373iCSz4LMmH4Nh9/VKMZeB+VtY6yH2uTJ8U6/XLG/f3HuLv7AONIcpl+d4MmrUgpcsNIz0DTdC+onIb15RHLPALGqjRrv7/D4XBPusy4sLbTqgTEuaDNHgFCEk/hUZMMIoyplH3R0KW0kiTmeI/d/hZv3/4Y7979RCdwAs5tn8EtgFJK0YxMYW/IOiku5NtjOyF92RQYXP8dTGZNKq9hMcKYxNRQv3mPGk8l+eIvmQXOeWJ+rVHrTPEwoT0rcC0aYW2vg4btfSFSOonbIHbMxokWFVAgN9lrsBOlqO6QZDrX5kLUCHocj6/RdI0OeWqDdl3XGGNgHDnTXi6P9L1MQYlbKVHdE+U81HWJ/t1aCxSvs4iu29MgIyW4XY9lWeB9x+e76jzFlE/2Id0XnGF37VrrSn0r+9l2mr3dU+XeIaYhMepk8JJSYkOlov3D1tH3a8+TvaYMl1JIA4yvMx76+0ijbXoqZve3O4QuYJ1WNQRY10r/EXQLhQS91tJE0G4QE3k4ib7JDnfctEiBX5iGuTVP2WZYeu/0YZKGt/ANLI56dAMIlfO64QSIDuq841iQHiVnLNNKCGlHOhbJgrOdVTfH8TTg09/7KX70o9/Gw8PnSpVNvJBSAUrvITfV9gYgOidNLpZl/mPQNbJqdYJvgI0DlSA3ZC+9QRX7A5rQKUqeMzV7pRQtJEIb0O3qQi9T3PPDCfO4aAOZ1oh1ZvMLt1IDbi2G00BulWwsQdTapLrQ0FRB9vnxgofPHshMgyfMgc1wci6q0SKzIq/nal0uRF1lpFxonjL9peY+6UIsDz5QQ6HX3YzdnujGTdNpkx/XSRe+XKioahpyZ+yPdJ9LTEHTtzzN3KHbUSGyzhQRYb1TN2S04Qr9kxgc0cNKYDst9HWyI0dd/Pg+4CK5OzAdvaPGTxp7eeaEpn58dURoPPZ3B8q2u0zXwIPZFOO5FuViEkWOcfQZfOOpmWkJiKBndsW6Uni8OCd/F4+KvAqyXieFdaLpSG/nRFcX2MiHMuK8WqzbGj7NZjjTZaKiv28091beV2jukmfoG4/9zQ7eO7TnFtMwMeVsvVpXtoHspO2uGYRb+hsAVAfQAonTqRvX12dw1T+voebyesu0ouQz5iGwbrJF6Bo4pocL48QYq7TItGGvSBRGThGOC/91FUv8Be2OmiUYAsZo0kKbdXBEwSzcWMYkVCTONbOW8pCzbNxGn9u0RnXfZRyQwRn+XUNyD4DYCjUOwegzFdoGoWW3awYsE7Nu6NG3pCPtguZSAlDjibR6JDbi8d5zM0vMllzYNAQVTCCKf8fZg3SeW3adPdwfUFImh0U2axMTpaZzL+4Xun7rsuL0eEZaSa/qG68Aopyz3FGw+czO51ta27bRF0Te5AKREgNAu+vQH2htFpCMYrp8LeBSUaBNfBLonBJVVq5TigkGHM3DzsD9gdZsyYKVNXCeFoCpeXGN2sACkz4H03j+o5aDP7XH1wFQ8ufbg2RRHcthqoZbag6lv2rNQnTJGCOc9Tgc7tG2LaynmmocT5obntLKJliJHNeXeeOwTGkFy1VzQY7KbbtD8A1nckct3uXnrLFoQsvsJzGNYjYJF+aWHcQBKEsg54z9/ojv/eDX0PcHfPrp77Lzv2Wqr6yHfrMP+K+cA9kXAKhOcwvWbc+/ufr77bXZNKEv61fJZTRJ6115beekNiYgKwrr6qqxNAhtQM4tN+YyZbyeisWlah2398Z2H7DWIRVyjL1uLJM2y8LaLJvvTmah5ivJENJotn2rGeTyfL8EOfW9UsY0XRjgos+3TabYug17z/F/1qqfgNxbBUSh3h2OaHctpsvE+22laQeeXopUY51XdZ8VwNWKXNBa5CxgxLXLrl5nUwFK8IBJqMzaX9kqj3r5zG7X7e09swX9iJXgrq8xiKmaDU3NyYn8642bfp7jGzeb2265FLqoQpFtlh7KOd7QKKw1SoF5Sbd8iQyJNm1Lq6l/VmBSwjySQ+EyLle/5zjgu+laRfkBmmLJRGBd2F7Y0ucSOqFMDlLMGk+xuwnYHXt1tYvLqoY5xhi8/clb/O5f/1188fnvI6VEUwnfYI0LxuFEN6ULVxdb0IutMDvniGUmJ1XVecGQpoARGZqYQBewrR04SsE00TVpQovguytqWkorTLtDv6cMoJyLuvXKAyvfb12IVia5mcPzuHE8zGpyA/69dV5hzrQZCxjQ9E29kXPBeBqRd4SST8OE95++p8mNo2sqhk1ClQptoD+LEeN4wjieMc/DZlGudLfEbnPLMmqzCVCUjKCcADBNKwn++Z5rmkXNcJrQouuPVLyhUEahIVpEihk+kC5O3I+7faW3xUiOmMYarNOqi3Zog953Mk2fhxlxoSZzPI9EM97QXV4unNswYHnm5L5uGBwQ586caJIjkwIBT8DP0v5mj/7Qa1SEHNq45Gsxu3UG2Tm0e9JKN33LSGl9fflcpeAriOd38RCTKC28bG2yaLPw1WF6Q6EJoUOMC0f7rNWwR4rsNqijczjusC7rFY1IQBWTQM+ld+iOPQFwvBFOw4hlma7osdY6NKHD93/jB7j94FaNaQCauA3PA+ZhRkoGxsjULCgier0RXW+YsobXaanAtTS9dC0ZXcV5wWWNaHcR/c0OfddT/mZwpAM8jwpO5kgNooGB4QloSYW1W+DPRxNK63lPcARwClBG2esGxjss4wKZ5Kc1auyHNJlxzeiOvX6nLXLsgofAQpenAZcnakI8GxsRks3u5V0gAzNDa4IwbuQcGaG1l4IQqOCxzlLjw/rPdaboJoBBy5gRDoEAiPcVfJA13zmH3e4WTdNo/mmMCcvzGSMbE+1vdsrUkc9wvCfzuJy9ug0LUq/TXN4/rpvR6spL1yopEE0h63W/kbVbAUFDuYXy3XY8mZRIBXkGRA5gjEEETaT6Q4tyk3F5IldI8QUwxiAX0nO64JFKIhreq+MVHVI+fGQDrpSqmzHADBT2dhDvhabp/si14NtybIEtY0ydaP6MRnMb4Qaws6p1FDVyeSQAaV3w5ZcXiJt5TCtnq1oFtnJOX1mvhGFhi72qD+d5wPn8oLnsKAXLOiHGhaVHpEVvmh5t06HpyMwwl4R1mWuWpak072p8uWAYzjjc3OKDjz9BCC1+8pO/jXWZmVFGPhpXJpJ8DshY7zrn0Bh6H2XnvaCAbs1wZH212ljQVDCXhIK0oUe+mEILfRWOAUKq3VKciebvrLL/SL5FdVe7a3lNatX9moYXdY9p2qD1YCkbOvGLhrkU+nzOWjZMy1drKCVW1GZHfp/WmRYGBmtclDqr0VoM+Nf3quzALV10mgb6O9AAJpd0dV4BbCbooDUN1ORJbS4Nb9ft4DinXrOHjVGaLEBsPK1JWc+KTD4ZLjtNbNjeC9VBnmKqJPVABij0M5m9RcDPU1TpnDGSDW1Ryqrr6facbAdRchD121+x2b763Fcg+u9bs9ntO3T7lhFFmmqkmAktzhl+9VcbCVAjLkT3AdTxsXX1Iacvt6EnbR5KoAqGtxuWFAtqsT+tGE7E7ReUv7/Z6bRM9E9S5OtEUPXavBEag73kUBbiTu9uqPCIa8KXP/oSb3/8lsx3ODxadCTrSmg0aS29jrtFRA9j1AlVKA85J3hwzpHQQAu5cYm2ICVypCqlYF0XeH9Nvy0lYzAWfXfAbn+zyfmr017fBHR7smgWR1gAZFZhSA+2jPSQTwPRk+R35ZDIglIK0sxIkLNwjrVluXADkpH497LY4r8/KWW2FGgBIsVFmhbM40QN5nRRGpicQzqvpOekf185K3Vmam3e2I8nCCVZHICn6cKUH/oZouDOWOOCw/4O+8MddrsDfZZEKN66RDRdgw9+6QNtsHPmaJ2JNKwNmy1dxThwAyfIe1yighXeO5hdS4Wn3I9MubPWXC0OdgOIyJ/3x90Vdc4YKBUxp6xTUZmcyMJ2vKccqOkyVYRy4yanyF9wZH7ygglggArUyOLKIMF3+diCRC+nmt43bNC1MQ/gokgAE4lnSDnieLzD/m6vIN7W/KBpAw7hwHEiK1HVr4r/AltokwsdN6wNIdvTJehzQ5/Z45Nf/R5+8A/9gD7rBxbTecTz+xP8EnG422uMxToLEEaupmJQVUoB+HkH9Bas54R/znIjQFFVtThLKW9oPBZxpabg8nQhQ7JUFOSwno2xLBnqCMChkRyW1nGzmSTmRIVXjAk5RmS/cOA2GZ4t4wLjaJoIQJkJsg+1+07jVF42SvKe00CulT7QlA8MsHrPBj3eI0Va83Iq6gcAVBmHAFJatPEzKW6L8zghp6Qmcs6RmVtoyQnYBYdut8c6L1qwWmtwuZw0B1vcySmTuMUyrwilYGXDJZq4Flwez8hsHOeCx+HusGE1BNx//IrYGeycm9iML8ge7iw13bm6w+eYIFnYQs+XnGZZo0vKsLzu0OcHQkvUYg2kNxlgrCxnjl7wHsdXN1jnhfX/VMQvKaPpW5RSdJJrjMTxJF1Pi+MCzVmAnyOZksY1Ip620zKv+cbf9mPbaALgCRnXFC8aTdKn26tGk36H9u1xPKNtdwzAkhlOjAtHtq3qDSAeIKJ9p/e/dsIVhgUAnZylTL4UKMTMaEIHY8iRfhxP/FkCRZId7nA8vmJfkU6bCjGBfAmklULPYGh2eP3xh3DW4yc//TucZyxa1a9qEbeTtO3n3+Ic2+/0sjEQd+nrZipv/vs6MoT2H6sRSAAZUAJQDwkfqgs0AFpPF4oUdM4qCNbvdyinzNO0lff5hMJ+AdJoCgBG3/faWNByo8knBhYOxRAFFIVc8E35urgTA+eDZqs3XYO4xuoTYzcGb2WbF87PbZR0Cg+NLUn1fpT6mTLUKaOTGFqOnHH5mkRudkspeHz3jkzvdj0cHOCAw/2B5AdsjOYcGZHq+1iqjcRFvqSvAg+VRmt0ki7/jMuePFUM7UsSQyW0atmTqD4Oyl7aNt10X0gzy2tbqf41LxvRbeO/vR6/yPGNK8PXN0d2EZ3JwXWJGE+DupeGxl83j5vmUp03mSZrjFHUWY76oNEUdDs1+epJvKZK4sV0Ji6R6L2nEaEN6A89eqYgbvWfW5TWWGq4ul2nuW/ShAFkb/zuJ+/w7qfv4LzF/ZvXaNsdxvGEy+WJdH7dHk1DXG7nAheUK9soL+o0C0R1/bpqnnOsOX0stt+GtBfOmBTk7wolzhGX4QnTfEHXHbDbHfXvnLecH5dwuNtrBpxy+S2h8U3PjlzeXXG9ZVIHgDd1KcDofBNq5pAiZeSpSYolE4bL4xnLuBA9aUOFWOcVw3CiB8A5zDMVR8s6Y2WEUhtzU3WYSp9lyrJSSTb3CLn/VoqcLCIx0kJ2ONxrXmVBwTRd4KxHt9+hP/Y43B2U0jWeBhzujjp5BRfAKUasMwXbb5vGlJPqmxfWrzbcPFhrvuKquXXD3Db4FXQBN5L0DEWOUaFng1B8H5wWjutS4yHk/0I/u/3gFnGNmC8TTxDoGpKbpq/NRM6wrD8IHIsgWt91XsnYJGad7HxXD8dFl659G6Q2BIoHsaZmDRtjdBYoBVjOCcfjHfpDrxtRSRmF/71pg75+01EBLojvzPQemYbnmGG9rLktMwYaLFOr08vdzQ73H99jPNNGSa7GDV5/8hrP756Rc8btm1vkmHF+OgMMhLjg6rQRAFwtXgygtvPiJiuTSh/E/Mcou8Jag9ASLd03BMY9fvmI4TSSvpEb1KalDDkn6K0j8wPjLIL3ChbmVDA8j1pP+VAb+7hmeJsUAJJjOo8oKdPehcpuaTrWegug4+qkWhxoBawLrFlHKdrsllKuDHfqJNNceQvA1OD3a50OfYdVmtPNmpBSxMIZoNLwu+Bx88lrrEvE87snPD6+Y2diMMgp9xtTb2OC4UiaGCOfl5W05OzsmnPG89tn3H90h+OrG7iFfs96h8P9Ed2hVwdd9RZIGRnQfdMFmp56AHG2WOZVDTO2xSJ47zUbjZnGmGQqUg3v98HSJGYZF0zDBGOA7tBTQVwk41QyXQt2N3tdR+MSEQH9ruJALwUtudQnlYEIoElso6gUw2/z8XWNpugyt9FOGm/Ck846NLBXA4dpOmMcd0o99MYixpUbtjoVgzW6HxObi1y6t/siADVj0WfGkMnaNnNa8q9zjliXGcs6YxrPmMYznp7e4vb2DW5vPlANrnw2qaO2EqdSyGNh1zV4/ckHsM7h009/p0ZU8WE4j/16OrlpCDeTopfutds9XyJH9HU352j7Gen8SF1skV9o7rB5tixLrgyg9QYBoxvgD9R40fNH50WuI+kVG1rTctF4QXlOaEpMMqemaal55WQHmX5q/rvKHxZtOKVJFjBhdzgyK2dSzbwYIMmxHUABYJrvqmAE+ZZQpqWACHFd9H5uGskqf+E5YJ1m2J/PT9rY59gweOvR9i2GNVJdvRmQUQ3G7LKNc7k06DLVlGtujQMpw6SJTIhxxjRMRM91VuVupRStY2uWJ1GERUJB5+irTaN+N5bvyLUFKmjDZ/Xq5/++NZtvn57x9OUTzg8n1ZsB1BBKnAkA7fJlqik02tp8bsXU9NrynaRYU/STX19G8XKUUl9HLq78/nacLA1NTkQVDZwJRzoQ0n1KNmG7a/Wz0k1v4duAOK8YzxPe/fQtHr94wiiouyOKZdu3uLl7RTbsCwmT53lEzSaUxqGF5BbWxtqpUB6FNE7yMFDRyTovXnzmZcLl8qhNGDW2boPQCUUr8s/0vOBGWLei6cnUaH930CgCeTiH06CIbtOSw2lcIqy7vh5SHMl1MCUrYi1TNdJrksbm8nim6d4ayfQpAMs4c/4RRQqE0NEUFqZSY/ncyTWd11ERSJpmXi+uVEhB8wSFRmsZgWyaDrvdLdFp2l43UHEkA2rDtUWJcsw4PZyRU8Hh/kBoG+sfjJO8V1qki60B51sgBgDrhApH8XD0DACkDNgCW4z+XD251PS5zWdaxgWhDUgbAEDup8AGGmAgZft3xkAD7ftDh9s3t0qrmceZqMBsgNR0ASVDC2sBaay1WJeV4o/2Haw1OvX/Lh70XGxdZysdS+mz28Bz2M06yVQWFKY0FSzTjNa0SMbA9aTvc6xLL5vFUkCmlqdOy7RohqQJvG4yqBM4ysJ5q/fE/Uf3TIsi+mAaZ51k7+/2GgfV3/TXk/DN4V7QwAAADCw2favvWY3eyI1V4lVIn9dTc9c2GM8jU71XAkJSQbtr4F7dULO02bnavtHmep0iAx/0PPrguJjyKt0ggJMLq5j4nhbKfsI8VhZHXKl5MdYgLzSVc9ws16aSXLfbvgV6qJ7QWKMTPFkTt8V7jeiK8njX+8jI/QT9ed3sueADmE5VGt1fW9ahLtNK9GcOak+xQUyrUmHrZ+BrztpLYbCcHy+Yx0nZMs56rLPF87tnAMDh/siFJ03Wnej0m6KfpRR29V452zRn9VJwzqLpW73GpRiNz3LOMXOKYnK233/r1yBu8pKTTdcroUhB6h12t3t0hx7jaYT1Fp6/48KxMuu80j0QE1RryjrenAs1+Eyp24ajA6RZ/LYeV88xH8YYZUmJ3kucZ5XNoeuf1T8rqPt2jCuG4Ukzwdd1YpqmYffNqq9smh6Rc85JmhAgNP7tuknrn7BKHCTKZGtqZq1F0+yJQrsuWOPCAPaK9+8/wzCccH//Efb7u9pYcgObUlRwkO55Ao7bXYv7D1/BOY/PPvs91ZtS3XrdaAI111AoiZWpUs+5mL7If790uKWfr2uJTKqcM9psaKNqrwc+1luEhqiYOdG6Za0BlRoyaKjNkrW0Znf7Dss4w7mwMVeS+jqjSFIDg2aS9VsjZ6qhpTGF3dU94rrAGPK+cGyARsMCumuMs9gd9vCNR96YRdG52dyrm5QDopZmxFivhYFFYN+NzRKKdXHY+yOZUDLoBWuI9mpaWG858YJYK5Jp7D0Bc6WgDk84vm+ZZ/jQwOSMFHlqKA1oMrp31ui9zbU0rJVE4nXQExWcpWEwBv2h58z6AHFUhjSrtt7vlQ5O1FoZTtG9x+dlM82UJlO9UK4ffKB8/Zrw8xzfuNnUKaIUVbwJdFzAitBWGktFmBtxyRI9CxWwV6+J2igC1NA0bGUvfG1FhiVfR5B81qhtm1PJTjNsfOCY5rqMRKWSaWdogwZ8S5NccoZvSP8zDzTFffvjtzg/UIbhPM6srXGq9+QPjdZZNM2HvMhGjMMJl+EJ8zzq92rbnTaIOSfkFDFw1AlQnSHlnACA2QS19v2BMyhnfR1BO8ALo6AnZFrEGoQlomE7eaLG0Z9lmzRw3BhDAeMpa2NeCrnWyoMshcK2IZvHGevMKIxZKTPTkWhapilt32CZVoynAcs86/QXRcxHSEtB1ACvCylAyOO6zMilojyC7rRtZmpEdfMFoEHRXbdH1+1xe/sB+u5Azrbec4NrdZIc2PHQMZ3u8YtHPL99xu7Y4+bNDX1Gb7G72evPAtig47TYkatx1ffK/YpC0xCPDfVmWTV/z2zuadWBMH1Co1AyxRJ0+xZNv9OCCwDHC3lMl1nPESGR4Bih+plLBonUHU3NxGxDfi/FRK6P3sE3lTorWiqiBnqAta3f1UOLCYh+hWnPnLvlfdApvwBpUky4jWOyLPYU4ZRhHG0gYVN4O+e4eL5eH7LJ6I87+IbctI1lXY6loh+8Fotx1OFuj93NXn9/nRdd0+U9nXPIjqi7pPXOms9aIJSvLWIL2EBaP5q8yn1W9P6QJgQgSUbTNzAGaihDIF4mepYxaHr67uN5hGUAJHQNvHNY14Q8LFrU5MTAS4xKNUo2cXMIvW9lvRZwqO1bpo0SnbntSOfYtEEboVLInTXZVKmv1pD7dClK87SOmiCZZFpnOGKKEGmiszPl11kYBou2kV10T7G5Bxc+ylzhdWRZaErQH27RH3dYpgXPjxemtDsuPgDrPPbtjnSJcdHiT9bJZVpgZuByeaJpivVY46LTiJQjsFDBen68YB5m3H5I03eRBYjU5PJ8oTW1C9wUkl8BTQnzVUPnAmlmZR91sKobe5lTLHWGrD3rssIXys3UCbmrtG4yLXJ6zuZhxtMXjxxVVZttOs+W1zkBUi2sYZqmo+l8vmSUssL5ALP8Yvqlf5CPLbCxLTADO9tbNRYReU5tNNUBteqRYAo0xkLAYaLSZpUROUd6OnlNZWo5ByplBKQRvbIYrNWpm5j9yGeXDOAtI8tZB9O0Ou0Uhtm6znj79ieYpgvVBv0RoWlhojTNVtEgMdMqhWLw7j68hbW/hi+++BGb0VzLX6RpFOlU9esQUN5uPj+U8rnV3m2nw3J/6wCChxAqs3EUhUL1DE+cNwkPUm/LZ3vJLLCWo9lYFkH0+vq8OAdlajhvNbeYwJqsev6X95Puj87ClIymbdGw83ZoA9VGpWaSC4C9LlE/swtOo9iMsbDZKDXVGIMYE9Z1umrijLgBGyiLz3mL3tToFGNo8uiSqywVpu3Pw0yMGmNQLnT/rfOqwxT5jON4oWY0rQiJhhdN16hLfAWgaQ8CoJphaUIJNKEpfikF8OICTMZ3sh96HxhozMiFtJ3e9bA2I+VMz1sRrWql2wooU2sUmr5S40kuwdU1WJrV6hHwixzfuNn03jPFiIpToVoK13uLqGyRTrF+14DrXOCbje5L6ED8ELjgcPP6RptByXg8P55JazOTSYZMdcRpFoAWdvTvBt2ug7EgJ1lnsaQZYNv1rbvUeB7RH3ouahqNppguE97++C2GZ7LtTjHB80Mcl1U3wByJFpZS1aoEZ+H9PfrdUad0shDmnLGukzaE03xBKbJwCxJMi8m6LliWETkl5Vzv9zf6QEsjGyN04Zd8RLUXX49ob/c83qJmP8aEhq9Xw9En8zDDN15Ng6SirIvS9XUGakNlG54cbAyVZCIqLqbTZcK6rljWCSFQ+Ps0nnnRJUMicedc2SU2c+McmhbrujDSlrXZFFqtTCllMuysV8QthAZ9f8OudDXoud8feIGzFZFfMlZuAgEqTMfzhLsPaZMMbaP02hSJzpcY5cq5ovxX54nPod6z3gII2jysExXOEgMk1AxZ8OU8SzM7DzN2tx6vvvdKr/V4Gsh4KGV1QqNoCImnocZzC/CkSNrWtvPoDz3SGqmIzvRciA5BdFf6WTYbocTmfBcPcRdUQyBe0H1oaZpptg61nDtsKffwgw9+GfvbPVAKhhPRx9n8kp77iaMbJJ/Vy6ZJdGbJGZT1bnezwzxYcts0AvYxpTN4dHsq6ANHfYhGmAqPrLm760KGA5bN0uS7WWvY9KHei9YaWO+pEWyDgiI5JTIxkvGdIO+e2CCyXnf7Duu6YrrMXGCQ7lryyVIqwLIiWIO0ZszDadME0npkN88KsSmcovU5ZWTegOXnAAJfUiKQzfFzmtaEORPro+maK5qWMfQMyBoHQDXYcogJhE4mMwBHxkGFqe5ScBhjMI+Lup8KoyRz0UVT3gvlAHJx6lyA9x5tTxm77b5DZu24dRYpEXjofaj5bSXBgtZIyXOOccY8D5imC7ubE+sDHtpo1oKX9Yu+Sma+/5vfp7y7ExltNFygjecR8Rwx8/3ivFVGhmMqvrUWewaCBfzNSSbN1PwnNuWB4bibmNW1V4pdmX4KM8MFC+NqQS8O3JIBapxVmjcZeG2pjgxGuPpnoodPa4N1NZzB2H3rabTbRpMkGzzF5KxHbTRNdQTdNlXqdM0Np8iAAMmxrtRTaQ7EzEdA9sRrwEs2G/1djf2oJimUnyiTzQ0bnfboQnuc53pKGtbMUWnn8yPmecDx+Br39x+jbVuUErgJlOkQrRHUpCxougaH+yNc+FW8f/s5zufHr547W5tVpc0WasGd5jpWU8ySE6yvQOJXr03WRhN835LT76wTL+8CsnWwmzW6pI1xDEtphJqcEk37q1aaajnRMda6z6kMR+8TluBIxqf8edVVblxTRTYArgGXSnf1waHpG2301mlRSZuHV3NPgOMNc4HV+6FONLfvr+BDJK0r/R1HrKxR90hlTzATcx5mql9jVD8LOlf03DtHxnuy70rqROacVmst0nlFaFpylN08UwqAmBqDJc8AnT+pqdbN3kOvIewTkeZtD+eq8ajst1RrFF0P7cZglM5LdWze1pebm+0rAMo3Ob5xs0kbRsNhz8AyzVjmdfPw1w8mui8AeiEB0JfYbNjyuvJQ+uBx+8Etj9Gz/n336ojbNzeIa8LT2yc8v3vWqY6cFOvIGMgHx7llDdNnZuJPC4opDVbfoOnoZ4SmYwzRTFOkidzp/Un/XhB6cWVdr1zsEmKsaI6M+UshY6LO9ep0K/qg8TxhvAy4XB5xPL5GjPVcyveim3FVNLDSMyz2+zuE0GKazrhcnrX52tp+E7ocscwzDvZ4NYklvSqUorewwZJY7gvSJA3O8HQh+hWjUaFtrnj0QjcxxmCZabpJ2Wi0sErmI0BxJAbkQLesM3xJTLPpVLepn7MkDXAWB1o5HzlPaJqOnH+58ZRNSRaeEBrsdrfour2eE+8bNF1LZiJrxJrqgwkQdRbYbBLzgqe3z0q7uv/onuJi1qiZopTJRxQt33hgO91kIw0p4nTByDXr0oiImzVdYhLjvFNql5znaWD63zDjcLfH/vaA/e0BwJkn3ubKYIZetyKrOWe4ENQIaF1WpsM7dLsO3a4jrYQ1RBc2RJ8RUycxRGn6BsOpGs98lw5qMje5mvSHOqV3zl9TlOTPfcAPf/3Pojv0sM7i/HAmVoUNtM6khOE0wAeasMs94BvP4fW0bvkmoOkYuGIArjv0gDAJWPMhTek6k+O0fEaaCnkF/HLOZF61acoECJQNcStvcYGmmJ6ZI9bW7Ei5x6WAEYO4HWdMllzQ7XuUDEyniUxwIhu38MSpFMB7i4ZzEc+PZ0zDBO8cYkrcmHG8URvofDTEiAiNR8kGxtdGdzsJ88HzM0b7lBQf9HNZmR6lbPY1AXCsrSj1xgyMvleNOZLJHgAFzCSrMsWEdVmr8ymDrWK8sy6z5gfKPy1LAY6395jOI04Pz2i6FntmWhgDJNZVz+NE8ol1gXNl4x8QESMBkELV2u1vAYAbz+pVQP+nQnKdKTvbGIN3P3mH7/3G99DuiBKbGZjq9p3GapVSUNai0yBZuzyzK8R0SDTKteizMKbBukTKdy5F12KlckfAWImMYZd7LuBKAcZxwOOXT+gP5L1gS91Ti7Kuaq2SU9a1t5SCYLxOwokKXDZ76rd3uvnyEDf9GpcgmeHX8UfbRlOOtunRtjuiF5qa9SdgcEpRM7IB4BrgoClnaCWejHS+8nspJXh27iw8GVXKuilaVL/0QBBqr2cDopQ8nGMvjWXGu3c/wfn8Hh9++EPcvXrD+3Y10hPzxrgmpEhZ5f2hxxv3Cbp2j6fnLzkPlI2GUNceqW8FeNvWGvT9LaCDBguRBG2nzSVTBnhxzC5K17rOnDMxE5D5eefr2NQJ6PY95ZgG8jWRGLZpouzTpum06SiFJovWVaZN3Re+GuUiNXFt/jZ031KQEtV+Bhbdfofjnp7VyAwPOh/V0bixFoXlIsLwSCljnoerulgOOb865ea1VwwTSyJWlzKG2EdDnGTV8ChJnJ5DzjM8gwTVzZb8A2RtzZn7ntXA2lbzsgUYBSj+hKiz1fBoe/5C6DhdISpgkXl/3jq80z2dVZpDLMeVQB7Un5HrbhzVCs5uptlfc97kPjW/GIOW7r1v+ot902DYtXpD0MN8PeIHBBGrNvKSaaXc/C3qkukTWW/Rdg3afQcfvE7VjKUxeeICyjce9x/doz/0eH73rBTNpms4pqGhgm3duH9yszOvEc6T9qxhiug6r3Acb1EK8PzuGeOZMhClKHBMrSWq6KqvLaN9oNImRF+SMyGyMa5whXShy0TTz9mTLtA3Hne7ezRdi+F8wjwPWJeZgt9dwLxQZIG4Worhw/YGapqO0TzPBcR09dAbQ/qJab5gHo5qcZ2S5AAxMpLFgIZ+b53pvUZ+L6G/SSNE9COrNCr5XCVlFPAUwNeJsxStglCLc5q1HrvdEW27Q84Jw3DiKXClAld0Ruy8vWo+VP/V7q7MlKQxtbaB9w1ubz+gAj04nuoSULDGSiGGNVrYyAYHI7x4+g6iV748XnC4P5DZkqm0cG0414TQcD6nUMpRF+nt8yJRMZGn5kJX3B5t12CeFkVMjaGCPS4Rz+8paueDH3yA3bHHmd0846bol3tB/mmdRA1BzZqcv6baLo70Tdvfl6mr4RiEZVwwPA9/rPXj23bIYr39P1AjQmSquS3MQmjxw9/4c9jd7DCeRn0+ZM2Q+1MK4hRTpWGDTby6Bu2uxfHVUafy20nc8f7AP0vmLDSVpv/nmBCNARoytkEp6A8dLs8DU28tvCejg3mI6h4tlu/075yP2xHFzgWLnAis2uqEJX5Hjn7f04YYI7pDh6b1eHr7jHlc1F0VMMhsYBC6Bs5bTOeJGzBCfLNNfE4LGaWlhGVxej363R79oUO77+tn50mJrGMCTDYdxWMZu2jj2O06pc2R4Y/dfCeSWsznETLZSXl7fa7lDwA0D7Ww3kcou2mlqaag0Sny2prIXdNai5yIypgdmVZ03Q7zMOJ8eWR91FHfb7wMCKFhQOJG6fyULbji+fkJ43hGTpFfi6jU4hS6LCPRtpB4Euxhuamb55mpX5lkJT95i49/+DEAYsOUXHgaTQ2zygCEAmyynh/StSZMMcOYWYtiiS+jiKmOC+Ck7rcOlr0SjNYYwpqieIFEe/d51ClpKeQPIM2jcdeMKjl329qlGIOy0v4lRXhKtWj9th7biYlzXqeaApxtG8261tXmSI6+P2K/vwE5j2bWdJIGE6B1sOv26PsDciazw2EgXbD3AU3TE7DJtPOm8exaK5mbQExR6bSJgWnnA0x23MQYwF5/p6thCPtDFFcntCklLPOEH//4b2Gaznjz5gdouoYaTjH7yrVBIDdwAoVvXt2iaVucnh8wjKer9yooPOUlivt2Tdx+NmF0ic5u+3eF1whx6hVzIKJH0j7umrCpWQQcYSoxx96ZYrRml9zmZZkwPHtcLk8b85jKjpumCwORXocFQmH1DcWhFNY/i0+JNObCxhADou1BjAqq29eZNNg0YZXvzOePPVtgDMkbAtHo4zTpZPEr08PCMSwpAwoOXjf4EmVincT/8d4gcpHCueupTjVzzrDJaDNtrUXk4UsphRs6onZfDRUAkrMoqBaQ2fxKmBQFtGcTiG1hitTizKBcJ5V8CfiQSwJM1hghQ1ER+trb81JleuQQ7gI928sy6T391fvyFwPXvnGz2XjSYrR9w0H2YnYjH6yiN1Is1amj0RN5hTaZrCi9Z6cnaWQIgXY6kQFAjqYjCbVvXt9oXthWE7qybkZCyKfLpLbooQvkCuocbWDOoe0aRZynYVLX1Od3z4qEANBMMrLktwhdozTadV4wzwOuxtmgqRxt6p1Sm2yqAdRtz5OK9hWmy04pscsyI+fEE7yEwLbjIhqmm2dlJI1c3Np2h5JpCpiZciE3S4wrpmHCbiU7aSkGcyLKqGzcoTTU3AsSvwkzt96hsQYSWQls9H2yYTceTRsQY0KcV7iWEDb5OUGJ2r5DYDpCXBqi1i5TNQUCf8e4cvFOxhjM9UIIrRZpQvPZNlNN08P7gK7b4/7+Y3LWzBT7sUzz1UMkn6/EUieZch8bozqQZRkZGfIYni54/f03WKaFiv5dpw6OlotWFHKsJXTOAildPdC1fHN6LQABAABJREFU8azPj+Gpi5iRWFuR+6YjxF8iXnzw6PY0wbfO6WcRCm16GjZocS3+tkVd6MJVTqZqOvl3ZOGFNQi+oppxIVOW6TLh/Hj5eZeSb8VR6bHbIsZyzEml1kqR1rY9fv3P/hb2NzucHs4oOWMaFqXgy3PmGwK3xLyrbhhGzVniEjEPM27e0BpIuV9UfIk9/TIJQ4EbJVencAL6BJ2Wtjg/nijGoqEcrmU60eRtW7A5h7Zv6Pll+nROUSUFshkIjVxjeFjHF1MiKm8TMJ4myvedF3YeFX2yVdDm/HjBzIAirYcLvAsozjHqvBDlK9Fm6T1rus5SaBalkRtrOX+U6XdWHA6vUfnjqyPMJhqKpgYVcJGYLfpvep2S9CFWCqYcCphx/IdcT2pivdKCpbFvuhb5kpBKhA/UDO/aW7R9i8vpGefzEzkYvygQUiIGzPn0gKbtyHyFI3cklkuKdufJ3bhtd7i5u8c00JRp3TiEemPo82VqRKXIyYnW0fefvsMHv/QBNXoLrdu7mx019Qyy0YUjmYaY78k5eXl+ykK61PE8kX6zb5kZw+6zXJAScG31ecmZmvTxPJJTOD8DvglwC0Uz2VJ08invJ89JzlknARLIrtfIk5Tg64rlb/PhJCfdWHihuGJb01nsdje4u/sQznllIm1rOypgKwAnB+VoJnLo9gG73Q36/oDz+ZH3/8xSmI5fMwOlQ4FQGsVUiuItKuXQom07zUIVmmxOseZ5grWkHMGCUhA8G+O4hOwC1rjg3bufIqWIjz76Icmq2PeiMBgkOuJZ6Y2OJQofYT/e4cLUXNGtgqeDaqL0ouGsJkxGJ5pb8NJ7MX3kGBMf1CNFznspGYbZM1Yy7Zm+L7nMJHkLTKdPOkHruv1XjICkBhR97fYz+yboz2Sm3eo6CjIOaxqqM2NMECqyTOZcIIZf07WwzmCZVqVNi3QHL545qXtEj2mdQ4OOTdCuaaHaVPIaJCCoTC5hDWtQoQkJ9D2357NsdJW8N7NZ37IMyDkqY0QGQVI/Ur24wOdATR1Tam3wMFF+JgBY+TLJBF2enZosEJdIIGGu2ZzWOiSuk+X+kutG14HO0/Z7yIRazg31R2HzunbzLF1HHn7T45tPNkNgC3unhUa7a/VGFFMe0b5JYUzIcd28RUjuHDVsUphI3EidilKR7YKFYQC4GqdYHF8ddfS/shujOEwZS0XgPMzIkl3ZWDalMJotKTfBdJl4aknW54+fPzCaTo3GPJKDWvAN2l0Pa61SRZdlxDzTFLKUTM5VvHgE1/I4X4TsYldttRjcZhd13Y6QEj5CaJHiqhlrUnDpQuTrQ0+NREMImiymfBBKlTBfJqIqv7ml6I6UyASCI2kcT05yZM0Va8YiYnWVtFYd/ei/2YDEE31ZilOZnMrfOe/Q7Xot/nLOdA5TZvdeRmaQKS5CimxjERPdANY5fZhSXnkD9PCegpubpkfb9np+mqZHv6/UPYA2pSvnMuPUcl020lLIzCKxdbpsHMZYNE2HXBKevgyIK9G97j+646kxU14Z5ZKsS3GxBK4LrcS6h7xp+GTCXFhHJLpLyin0eq0U+ePvcXkeKALh9Y1SJYfTwIZXYfP9qoaWsggLT6vYSW6jz7SewBhpiuX7amH3LUb6/ziHMVWbK3QzclGsYecAoaKffP/X4BuP89NFp1vkYD3CuYBgibbnA1TrRpOyjR6dN2Ja5xIev3jEMi64+/COpnk9UXcoi5LuDYmUEB2m6ALFfXOZVuxudnj1yWuNfrg8DUy9XSDaTucc9jc7os6GoJuYFDKCSG+bTGOsaudLKQhsIpTWjHFgEJANd3wgjdg6rzg9npCWqBb967KweVh9hiIj6Jqryeh70zU89e0J5OR9BYUy8wCoY220VOjM44zQePTHHZq+4X3gWrNZzTYyT6H91TMo6DZdK6LUFs6SlPw3NeaQiBimVq2biWdoAkLTIk0Rznr0B6LJXp4uGMcznWNbZSmCSofQYmEkcJ5HDMMzxpFiifr+oJNMaxfWrVEEFBWVGW2722jiiz7b60JNqhZzDKQt84rTwxnH+wOe35/UR6E/7nB5uiiraetGvHly9L9lD5bfFwmNTOOtldzsPbpdp5TknKhBzynj/HCiGJ/gAGYXGWuYJUVgSG2CqKBPiZxyt9mdAp6nlIGVGD4y8TDGqdbu23yQwaP4bPjNtEWmgA43N6/x+vX3EUKLtt3x7zksy4jz+UGbTwED6msLrTDDOIMUq1ty2+7w9PQlzqcHWOfRdXt436BtOtLAsWY0xVUBde8bqJaRi2eJrZjngdbkbs8NwYxpGuizcQSQ7J0EaAfAZ621Tqf3SCnhk09+DaENOgkEQLTaDU2zJM59ZVflpvsQ0zBiHE5Eg2cDoG3DJvfjtRZ2wz6SJAKWdxGTTgB7ag4k7oxyKKHNhGV/AGlOxXDu+v/0XdMcsZ1MA9c02RAaNE2vtbo8e+tMQB9N5bJ+Xvc1MjljiLHlvYd1VH+4QM0+afWTNn4+s6TNWQRn9XvLhDNFMpHTKJ5Qo/DkM4uWGJzPW3WkBnCVrSYRcXLOVUKSgKJmlWSY1zQ99ncHfi4szo/PaPsOGLGhvRKFVaaIci7FaBOASlvo3DBgy5RiKZgJYBG6dOR0hsiT7aTDEqNRJvX6fuU6cgNsfZVS5EwMEal7Xx5/Eo0m8As0m7e7HS7zjOA8bu4OWCMJaQXlVQTe2cqPjkl51pLp55ugOVovnWXrRMXCukrbi9zMSsHkvaf35oY256L6F0Usxpn0ZtbCeaht+jIuaobhg2dDlIxloiL66csn2jz5IESDnKCG8RnvHz7FskzkOBla1QluhfAUVxJo4VolD5KyoBSRSwnTMCIugRsAMkPKw8xFFD28ydcb19ke+73XyZ519MANwzOWZWKqCTlTtU2nVtSySUiO2nSZcPfhreo1xWXRe5pqNG3AMq+qcy25aBO8TismNyHyeN9aiohp+5bMbpiCWx3PoE1s0zVIa8TEFGWZsBBlzCjCJt8FoLiXZRn1/prnQSfATdNWdDuTI2xKhNSRGYtXhzPXNxta74oC4f6veo1DCNz8TgoiyOZkOGNMgr1PT49IKeHyeMF4HvHm+6+xvz3oOchrUmMMKXKFziKgjBTC1halpsgkxRqJKZDPOQED1HHRBae0aDKS4QY7eLz63od4uh8wnic8v32mCdISkUtmqnk17ZLCG8ZcTfLpdS1M4xFX0hHOw4zheSBtVi5oulAnGN+xQ5553axAwIVoVPRnYNG2PUITMDwNWnzJeuVcIJOUKOZhBZ6BsLQmBfZk/aNnyuo9JDo5614T2AMA1qDpGwXVCIlmDW5ZAUObuKy/06VSaWTNvjxfMI+LMjD2NzvMqVdwRFxgAaPgHn1nMU1iE4u+0WgQ0qRmJNZ2AhWICn2LdVqo0ZwjszP4+6IisptBMu0HhqYgpAcjUAaGgrJLNirJiH7lCVz93cxaVlmHVpFHcO6idbS2dPuOQB7vsDBgp1EfgpozxVMiBrZGQSUX1qRa5IUKU9GEZqbsCuoumu+QWgXnnt8/YZrOPIEJbEZRQ9vH8ULslfGMZSUQU7Ttif/cOo/gG9zcvMb+cIfd7kAarWGkoo9BTKHVSjE8TkRxFNYO3SM0AZwuE3bHHdq+JRML3kPkPnShNvpyKBV24+Yu+7RtrNL0lRXAMTPOOxzu9siZXGaJvptxfjzj9HBGw27cKSbW7FLj6levsok6catTDOutNv8y/TSGtOoiRZDA+j+pIuwf5EPzM5lKSc9zjXfq+yNubz9ACC26bo8QAtaVJoeJ6a0VYK+sGgDY+krQlK+62Rpj8OrVx3h4+BzD8IzLhcBnMfRpm051oKFpdfLmfYCzHm27Q0yrmvDIewgd1Dmaok7TGcs8bnR3Rvd351vYnOBcQErU1H722e/hzZsfoG1bnXBfeSHkjFKMTs+l6dwd92i6FvM4YRxPV0MCOWTaVyUZDiEQ9VSZLsERA0z8EnxgY5yEnBlMYfC8gnEtQgh17zBGp7PSIJNrrWT8OqUvE2jKayo32b4J6Hb0/ZdxQYw8Zd0Y2ThHubriQ1EKPVveec54F1dqAnHmgRpWaYjpc9PEuuko01LPAadNzOOi9cmWfeVcgxAClnmmewCyXlFtJedA/knUeEOf1W7A/o2vhjwLTUNGpd2+Q7traRjgrZociZEW/XpCAWDy9TrhIjtmW3oP6x3cRuu/ZXzKsMO6a6PPlCKm6cLDrDpIEgr49nVk4q+UckCve41KbFmGZ3QiKyAEANU4/yLHN242f+3DD3G/3+Pt6YTnccTjMGAoBdGyni9mvZBF0PC+0YJYpibi8LTVTACi9awaJjlc8Gj6FtYYWGMQc1bDFCnMaXoqXOuq0xBNoeemZN3oOC0bUcQlknvdecTlacDTF49IKeukYJkWPLz7HOfTA+ZlIrFxjhsTGqcIH9FdufE21whHFdwbamr4ogtiIRQHpV2xwxWhJnIzZDRND+ccjrd3aHrSIe4GysOb59qU6XSVLZxFpxTawBTIGe2O9K6+ry6X0sjklHF6/6zTioVdSnPK6MeOMurWajsudIF5YJ0nPwCiiypimMOTuQSm1zUi9i/wvMhLc7ksI5Z5wrIS5dn7Bvs9mf3IwpQiUcPiusA6mnKu64y+P6BpepwfTuog6zhHsz/s6Xyz9lDuyRgTpvGMy/BUrxvH0sg9nNKqaJEbCZVcpgXTecSHv/IR7j68I+rVShPCpm8UjS+5wJTE/P163+dMYegK2NiNtmhN/GyhNssmwa6WNSPVcdaYiPdfPKL7wQf45PYOQ7/g5vaA8+mCyzPlqHa79oqCRkddHGUjFee5FCkCaDqPOD9eFOkXTd4vuiD9aT2EZqaNpbWV5bH5P4xB3x+0iZPflfNPIeQS1pxh0gvNdSmqZaGsL6K3wwEA2ZjHJWJ4HtB0gRy4mWq4lSG44AGTlEprZCLI9E4EevaLK9ogyAbb7Ts0uwbrwE6iUaY9sn5zc+DqxEr+ReJb/AbdXWZ2TTa05ocmIE4rHj5/VJ2wd25T3Dms67opkMg8Yb+/02mvxIfEZcE603MuxZALm1gtVz9rXOs0Ky4R7ZuWwaDMmzw3XbtSAVFmHqjpnFxnJ69v1E3TWItiJPLDo+H7JMWENQn1qjZBia+FbwLuP3yFdV7w+O69smY0IN6SAcmyTpjmCx4fv9DiXgrSGGelDgJEd57SivKc0bQ9StlTfqilIlL2tJwTmtDB+aCZiDJBAsDT7Eg6fAZpt4wW5x0O9wf1UxBmk9zPzhuVCYh+UzwMfHDqq7BtUqw1CB2BCNYZtLsWK7uEX54uCgRYa9gEqL6fTFaliQSbp+mkA6BpKIDEkTTrQnWBUOviSs3Kt3mtk3twCxpZI80gPTNN0+PNm++r5jeEQHtJTMiFQHvvAlYzayMle6c0lNuimmJVZB+ha/b69ffII4Ozx2l/XzBNZxhD0W/7/S26dq/MLucC2r6DX6tBoHfbKbTkDQK73S2toRPJP4gRwfpPzdeUGBFyrX3//qe4v/8IpJUksA+oTqyZI0OMYXPBXJASgcC7Azedw4h5HrQZAgDvX+Sp++oAL/faMq/clNV4t6bpFTCW77BtOmJcIFpGx8+W6jaNTE4tAr+PRP9twRTfUOzVEgl0Sxu6vNBOjcpGsDFVq42msE4kNkS+23AiMF+GIwZGmSulFHTLHrvdQeMP1wLdtwK7e5sY+RmFAlTtroedKWqHrs91fWItpUhA6itbzzPVdmIURpPapgn48Jc/gDDHAKrB2qbBzauj1j85JWTnlH1oQHKKhMjgYCQAwVgUfHUCScDLxvinMFhiDSRX01qLdZ0xjs84Hl/Tz2bKaLWWWEYlZyzsZ0Lf15PkomSYXCAOzuK3E0Kne/3/P4QC37jZ3LcthmXB7W4H7xyctQjO4QmUsygnCsYQqmuMOiICtXASRFRpjVZ0TagPhlr+0/vumhbjsuA0TeriJ8HMcoNIE7Uu1ER4z9oT1sCJfXDT0gKZMxXR54cza/kWnB/OatSixkLDjMvlGZfhWY1pZHGCNETLiGF4QggddrsjyCo6KuLRNN3VDUaLAPO4hRJpDVOHOHKD86BEM0jFaeRJ5gk5Z+zmAzXijgKzG9a5ANV4hkTQ9O+h8WjZ+YuKLW4cgsM6Lzxd5bDtXPQcyH/L53XBI+QC66rxDwojzuOssQ1CAZECUtx7rXcIxvBmkpUqMJeB0cpGUaW8I91FFq2GdUS7zRGRw5qJvuiYQksibcv6iGWmhcd5i/E8YeJNxvsGXehrSPgyY5ouuFyelYZMn8WiCYTUFxDKXUx1yUs5Yy1Eb44rPfD3H7+CaSiKoKSM7tCjPA8VGIGI96Gare29obQ8zg8U7RAVa0410XFN7I7nMF1mzcKaxxkf/fKH2LUNnp+ISrc77vRay1QJURzfjNIr5fqK0+50mXF5vlxpmQCe4Jfvjjvjy8NgY5qjkwAPCfCWqaYxNLFf51XjjqTAqMi2gUyotfGMWaNwgArAWWtRNmCBATi42+DyNKBkoD90hJ4GD+IJ0msSBZYm73IpZeMBqFFal4z+0HOe4qqsB7phlemjvyNTzZdNJkphrSQ1Xzlto1A4pqTQZ08x4fx0QZb7EsDMLuL0nb0Wpm3XwoWdrh00FWTKrc0oJSglEwCcN9p81GtFa2KeVo0dsc6i3VH0hpjLNW1QNojk18n1U+0LXx+Rf8j5yvxeBfVcWe/QMhBFuZxRXyczQ8cYYH9HkTinx9OV42IpCc7Se1/GZ2VlCOJd2BhC9qlcshY4cohRy7t3nwGgHOLj7R1Ce4tpIDlDQXX63e/vtHgFqNmWZjzyPiwNoJxn6yRKKsGL5T6vXT7UOJ2cM9CBc+novonLinWMVXfpKn0cAFPpkrpXCgMjNF5ZTGL2lHMmhpRzV8yRkrKacskhdHCJ4NFzjuvC8Nt8WFsBRLlmlieQAHBz85ppqpayWxNlACr1WmoUYzWo3nsJoy8K0F1NTbQwZgMdWNzefYiHh0/Z5+LagAigtTc0Lfr9gXTa7Pdxeb5wjQG9FxVwYiAwxoi+PyqYL/ttdWyt2jiagHcoJeP0/B6H4z0/Z9WhmF67NpzAxgMiVmDqcHeDdukxDRfM86i+FOKYLwkOMhiIa8QyEYV9q6UDyIOj8a1OAMuzMD948JMzg00WlieazturZIi4ThyZFNlPgzNAPRnmyPQvxgTLQwVyZ6Z1yvug31ueqS1YXlLGNNO6EdqgU7rxMpAsKWduvDIxbUrR+2SeB+oJ+Lm2jkC7Zabv1+5adLbTup3Mj2ji2PYdQgik18zVYFIHYaVsABVmC9kM670yJq1vEJqA2zc3CG2Dy9NZWWqh8VjmFYf7Y70fLUn2nFv1eikzw5irSXXhcyN0/jpNrHnBW8aUMOnk807TwMkNPdY8wRQ5d0lz6oWpRoMx+jMCTpI6QOe0R9N0rLlegJyv9u4/ieObR59Yi33b4ovnZ7w7nxAT3Sz7vkPbBAyXkUb7nJElsRnANXogsQxXGzZTAkMTYI1B4z1a79E1AfMaMSwznLGwujDRZExudIpvSGreU9Ezo6HhxpDJigvk0piYGiij/OE04PJ8Qi4J05QwTxOcD2xSI4VG1oYhhBaG4w2oKaSsSAouXtA0LWkG+yMEbVZEfENleHmOvA9XBYbQTgpb9xJ9jTjq8zxiHC+KdgntQTQrjiMqpMbrDj2avlG3RcoUjdqIp5XcK9eFNntyn2W6HCM/W33sdqppjME8zpSdlsn4CcDVRhMVHRO6Nbv8rhWscM5hv79TV62U2J58XVBKwhoXzMtI59N5BJB2VSg/UnQBjMJzRpIYXcgEdJouGIYnrAtRL7wjrRTlqS0Qa/UYgWyT6vHEgAAAYlp1Ec15wXAGPv3dz2C9w90Hd+p4bE1Bf7PD+DzoYp8iONhdjDQK4K6RcynOBO0vufCEubqzGWOwMH3HZtq8zg9EA/+lX/se+kOHtz95h3Vecf/RvUb8bAtd60gLI5rQdRLznxOGZzZGYhflrZ4txcpQ+M4dm0YTEHdaW7M3pVhT6uOq+jidUBmHmBc0batoq2YIbuKjxAxCGAfeep4M1jXO8HTu8nyB9RbdviMTt1wAnq4Za9E0xHbQyB5PW4KsiwAUJBLa+zKvygCQe88YVH22qecDwKbRk+1GNI08DeUJqA+0cY/nsepYrEVkLaZ3DitvzIfjDULXILT03ZdpYd1U4k2UoqOaXKdstAkbOMPO55BJm2TbUZGWmXpJQeMEEMl1oKkAZ5mxtkiol8pC2RZanP0oE1SaKrsrcCkhaQHoG6L6oxREa7G/3SGxsyqh7bTey3FZnjW6JIQGIZApikgJtnufrFVxXVBABfLhcAeKMqA1/3x+wLKM2O9u4UODpmlUs51SUrqkFEVUDFeNmdsAs/XRMGqaRuek6o5zzEjLomsISlEam2XdMoFfBKQ1XQMvDUGyunad3p/QH3rVfek080XDC0OZfVt3xsDOuUK7lXsvsx5M/swFDxs8MNcJ0rfzkIzKTVST6AjVHKVB3x/VlLCUjBBaxHXRaZ0CJ7zGkZmP2bwu/1PNhmpsA/2948l6i5ubN3h6+pJrRq9MhhDIgXtZJmZvWTXFA8CGNAUhkDmhFOui7xYqb9P0tf5kaZN898ogqFFy4pa/2x15IkQgXSnXRj30zFdAikySIkpx8N5jdzii2+3pXuPJudDG5f1Lpri5zNKrECrjTT5X4WQAcihvtWG+Si0wGaVYZcyUQmB4aBvVROcc9f63luvlTKBoXmV9rWud1NvCCjMGasRjQA2emALJ5NsHh3WJmC4DVvl8kPXE6nvQZxCAdscTV5qOppx1r1pY3tHtO/SHDgub5pHLd+QmlQ0NObZG/tzAfMXwSAZish8aa3B8dUR/3OGLP/yC9thdS2uDrSaOT188ci1MZpBUjQKl0NpqUEFOYtoUPReFowcFuNiCHnovr1HdcOWZSYXuwxA6leBsD4kOovqZQMMtMBLjShn0/Iw0TYd1nQkAQr339R76BY5v3GzmUtB6j/vdDu9OJ8xxRcoFkb/s/kCTk2muD/f2KKXUvK1AN6CYT3S7Dm0I8NaiDQGNc8il4DxPuMxzvThO0KfrBm1douYC0gib/n53u8M6rzAG6A89rDUaYTKcBi64aSL3+OUDxulEdvrcDMomHrkZctar+5XQN5wLCIEe3m14dimFx+pEzeiPPU8gyIBA8iolv1MmksStr4szNYuyaHPRUzK739biYllm9OmA3XFPlKCY4RujLoCigUUh8xqz0R+I2Nx6p81iKUWLLCM6M9a0yCHNbIwU0C02/9K0yHVXelcQGsWAeZzkxkBmSjJRk2mCYZ1n2nXaoI0ByzwxQrluBNWy0cyIcSYnO0EJrUfKEctQ3W7XuLA2lLQbpOHM8L7Vxp2KrkqXpqlFgjENxNJb72uQDlRoGg+fvkfbt9gdyf2XJkSEyM0D2f2bcG2eAG5aqemmybRkZaaUsA5iS84OtXzvCAPAAJtNweL8eMYXn77DL/3SR4gf3uHzP/gc80AZnJTR2MAYbCKCCB1elxXLNOP8eML58QKlzUjxZavjpjZV39FDkWjj6gRAEU230eOQO5xcWwKOHEVcGFoHnQPTCskBOtiA0AWVCxgrtJn63tbaDRuB78M1YWBQQ+N+slUWA8BUx9u9Amdyj4o2bntdXU/0Rdg65blywTMbVzxAf0bu05eaXuc8YFaErlGzKWnEYMDrNRUzuWSEJqDbt3A8ARUwM6esUzY1kuEsQJrqiibMwDgD35K5HVE4KV83xcyFAhl7OE+UeFlTcirwDVHlqIms323dZmQClTabK+VW8nKbNiDaGqZunYErrr5mW0hzyC68l+eBwIJA5mXjeMY4njGNZDiCQk3/ui7ouiO8b7AsI9Y1Q6IRUAqMqY6KzgX0/UEjFuQakyNhxvPpHQDgcLjD/nhDcTShpYzFxuv9Rp/f6n0yDzP6wwtg2dC9KgZTci/JxFCYG3TeqgRma2QG/Z2EtRT4AiSQZb84ixtjcLg/YmEXWgBaU2zfV1gDovMDhFFFoHViUFX+3lqLbGqTtN3Tv60HFccGX6elFHaGMUYlPUKBXJf5yilWmofgGxTYzX1RGR/y2mSOc+3XQdOfgr47YJoubPRjsNvdalyKGMIs84hjesXmgy1Ej0t1Um3+RKpCgDXVUiG06lQL0LokP7+dNqEU0nNyQyjxcmLuIpmYVU9frs+pEUZfROZ1rdtRxF9KSZkVL3/WGIO262rNy9NHYQFKU1pMVq2xc9vszToRzpEb7ZSRYlEDOq1dkuTC03+3u5ai1pBRCukwK8uNBgKlFMBVgIGotTUeBrDahK5LxHg50/nndZKukcU2KoW0uT05zTKFdplIn00AWAUxcJHmMKA/MhNnjdp8iVRO3G7XWXxTzNV33U5lM8gtvTv0uHl9g6e3T3j72Wd489FHmM6jGp7u7w54fveMp7fP6iEj1OLqKpzpFHDcTM1ZJ2p/tpnqdI5WkhqXznHi+lWiucScLSmddp4HdN1e2S0CklgrU84KpEht7ayjZ7UkTRRpmh7n8wOEdm1Qrs7PL3J842ZTpor7tsX37u/xdz77DNM6I8Ws+q7WB9zud7DGYFxXzMuq4nzjrOYVCYXgfr/Dm2MdR8eUsKaEYVlwniaM06yTlPyiwBUzE7Erl82jFHLx7A49FyMFTdei3bWkzbzMiqRbZ7CMM7740ad4enqLaboob1+E7tZaTPMF6zJv3p8nDc7j7u4D0h0Aah0vY+2u2ysqPI+zTrWkATaG4lgEOfHe8T895vFA2ZvrrFk4MuYXK/p1mXkhpCaSctQSbl7dot21tJmuEX7X8vQqcbPhYTurImylkLAhkFifb+krQmmQ72etwe52j+Hpok5tQgcUPWy3F/vygnVaEdoGy3RR2q2E0moFzedNXP/WlajE1LiTq9u6cUtcY3VWFFE/BRKz3mEZ4SxlhpHgf8Q0XdR8yAq9D0QvSyliHEecz49w7Iinm2yKiHlFTKtOE2hhtIRk8TlMPDUWG/797Q6hbcj5zBLdWZq+Uphexs5sttQJQL1PpPDNutkbnixtG/mSquFQ4WL04fMHdPsWr+9vET95rYDGeB4JNWWUbivspwZgwnSZ67O2sQ53wcMwdUXe57t8SGFs7HWTdl3o8kRGtTTVydBww5ilkYKFRQXnUqJNCcQO1UYmBPrn1iwAoKlbiiRVkCbBNxtn3ODU4MYFrwYUK2dIai6kUJASNaChITfkuERYaZozx0bYStW0sCiWENyKQxidxJdM08tpoPxM/dwWaoJRSoG35B7e9A1KYaArpSu2j3EWwTTofK/GcJanYsu0wpiVGz4Pn2dyOwy03s3jjMvTWWmT9x/dX22w+hwJOGeANUZdQ2seGzWz0jBti0aJPko8xRB3XfkC1lqEjkEFAOeHM84PJ6KrcaSA/BxRnth9Mq4YRjKfW9cJIZAZnLjREkDFuaSZChfS2LVMm6txAVdrvLE4nx8xTRe07Q7H2zvd240hzRUxXgpTsQWBP6gz5tVzAclmTkxrLRDZiHXy3NR7t5ot0dTGWINlzqr7T5H0onGJnAU7Yw0O+zvSiOacYUrW9VEnywwiCHNG/k5M8AjEKPze9bqr1soynXBDx/62HXW6SE1n1Ws6GBh1K9bmLUWVt8hkiu67iJITCu/JwhICKpXPOacTpu0eVmsLC/hAFO51gfMElJBulphOsoeP45nu/40fReKpkZoAQfIrxUyQJ0XWwTLVXHIwJT8RsJo3S2u4gMuUPSk1AFAjL7asFXGglSmgNGOsaIIxUFqm0NGp/ikohQDIcbwo8yrFVWs9cd2FNWh9o/rxlGqzb0y9pvTZanN19X9UvaD1Duu8IrRBJQQ0lS1Ml3cwpi7AulewPCrFlRMDKl09pYxxvFT/EiMMNpom04CG1remoThBWqMyLOvgRQ6SczWzAWj/EUCi3x+wv9kzVdgitI3WTc7zYCUS6KoA4abZTikiBIpounl1xDIt+PT3fox5HmnYxdem7Ulq8fD5gw5H2r7FeInc+DkGNibQsKgylSyDkZqjvQG/5P6KcWUQ2utQTe8rRmVLyRjHs95/dJ9bGNQYIGuIQrssI8bxTCZa3Z49SIhOG9oj17cbYAJ17f5Fj2/cbCbWp+VSsG9b/MZHH+Fvf/YZnpYLTDIIwgXPmamwDi1PfyIjAgsbS7Qh4JO7W3x4c4NcgMfLBY/DgHldEXPGaRivMsmqmUBEAdjqOSvlEwC8Y70ByJTGeYdlpYan6RtM5xHLuNRNyZKG7ye/8xO8f/8Z5nmgmwUWmRe0eSZR8DTRFNFZr8Y71nq0bY+23cFaMqXxXHAJSiGmDXFdEFf63IRSn+B9wPH4Gv2hh29II+d5Mz++PqKbOswj3Uznx2fMy8hC4QwvFuwbdDqwZbex1fFUqA6Ue2ZV7ydTy6ZvWDOZANB4P62EHhfOecxGcq1YO1YqmuWcQ9O3iDGhsRZTpEXOB3K+zYmC6pGLNl/itij6tZgYqecppWdK7DCcSK+aIiIXSON0RoyrZhkCgEx3ARI8t61F398wGp0Q04oSF6XNiiGA0E28C3zOKq1UNpRxPJPIf3eL3e6oDQNRUAjZ7ToyIhIzDnLBpCy+0HhcngZqOJuAdV40n3Zl6rLQ7q4mA4xubqp1auoE+d0isLmgGAOgaIEGgIuniLc/fgvfBLx+dYNSgNNAjSY5LVKhvb/d4+b2gMt5UFdmaW5F00ebStSG1RimecTvZrMpSD39e9VnbKlh9N9bbfYW5Tf6cznnKypVjkkpiKIx1wkQPyfCFLA6ES9XDU9cyCk8dITwhr1XYNBq00L0Iopccdjf7NX8Rf4uJQtjE0LrsNvvkPqIdYp0fzLTgj7X9r4ESwQ2UVc+KKgyDkUZFMZAaWPW0gTVsymc0wkhNZrUTDKjIji2xc9Yphkj+wDkkrBPDGBai5IS0FEjO55HhCYgJ6KjRw7zNoaa8GUk5/StSUfhIto6h5JoDZvHmcG7qOfUMENEmFNSRMs+JuZqWkwHen2ZCp4ezohr5CJpURqdrAFt02NeQA2lIdOp0hXVwIXQwlpPecApwfsWzpF+s2l6XbsAYUAkNb0RB/XAMQLTdFFH8LtXb3C42xNVdQNYZGazyKTR2MDT1DoVJpf4qPIaYwyylWYFkMw8kQikHGtUDaDa1hwzYqH8bKHEgYvjZSSDom7fYTgNSp2V58Hk+qwQGaZwQ5m1gJRDQNOUUs3vdvWZcu6aLvztOTaUQsMNlrVK3XPMGCCzEkPP1WYCsnUIJVYCadelThEauJxD1f9uGs2t/En+2TQdmraD6NvpNR3l7XpobTXPA5qRgKnQNkjDpNc150zFO9MLKXdWYiQca5TJR4H0pU4p5s4H9efQz8XnKsUVcykIviHTL45nM7ZAnHC3TR1MzZcshajf4gbfH8jle5lXPH/5hMfHLzFNAzcsMimLtJcUioYbxxOaocPx+Fp1zQ7UOEnjQueV1lQnmtAXMjP6b2g2pzSQItERsFkou3Q9ybFbJ4K5XJmRKc0WwDxOykILDa1R8tnIg8SjkzjBadEoMGOMSriMYUkYACBogwtOD8iZ1vHzw4nTBxp1pXaOBgpbQ1LqHaQxo8/cNA3afYdXH98DAL780ZcYBpIjCduoP/boDj1O7ymDWvwWnHe6j5eSro3ZMtWK60zDorzZ58UFW84ZAK7jxYxS/Fp0U9Gfl7SEtu2rfMJaNZ6c5gu67oDf/K1/P/ojOYyf3p/wt//G/xspRY0souQGp0AvgUHXk+9vevxCNNppXXGZZ8Sc0TcN/vwPfoCfvH+Pz5+eFPVLOSMBCM4BvJm03sM7hy4E3O93eH2gwv3t6RkPlwFLjEg5I+aMx5NkiRkYqq8BAHGVUFeDYurYXzj7W81G05NbnYRDz+OM4XnUzchai89/9Dl+9Nt/gMenL/SChtDpjbCudONb6xh9aTd0mszITMb5/HiFDpRS4PiBss5DwoUBmnwOwxOWecTqqr10wxqSeZw1P4wWBNLTtbseoWnp80SKVaGpnugUg94c6zpjnShuQLjrgWlgSdwTefLovEeKHE0TE0phx8i1Lq5baogYMwGkbxnPo2qTxGWLNKmbm9QYrAvlMxJffa2ImIIJHrYkpFSzhwQJy4XF7myeRLb/1bQAkBxRKeQalJzI+S2SYDtGKtzWZVajoVIy6z6CvmdOkYyHeHE0lqhXz89vMU8XdP2BLNZjdYdrmo6yqA6UY5dzxjwteH73jFIKdsce43nC4e5AeXspo+3JQjvP6+Y01Q1fjEKoCd8+hPRACB3javoiqFcqik7lDAynEQ+fP+DVbxzgncO4LPBNIOTQWsrEnRasBzrfl8dL1TAxoKP03FyUek6L+Z9M+O+fxqM6zwrtTP5PFNrtFEQ2XuccYoyK6BtDJlpXmh/Uc5pjQvKOKKU5I3hPRTYDQc4TFQvc8Bl7XcRJfmRzaHhSSUYoJtb1cx5m1Wy3u1aptxDjG0+0+KZrkWyLkgK6ntaodV6oAWD9o0gY5F62njSs1hudpKY1Is5sysP3suisvHdo953S3lJMiuYa59D1LbkqpoLpMhJLZRgwjmSYtt/dou136G96vv+5eN3ILjLTbtdlVeMz48xV4SSB4s45BekkYosMIgoXMNtiwW6AHmbilCqTMLyfAdL8UESIdURFjUuk99loeaQwFFosRVllLLPoOSMSwCYPK47HV8g5YlkmrBy5JZNQY8mIRMA7Oh9O11mZYNF9Se87zwPev/0M6/waN69vVNfrGwPfihOo5LpudNzCOBKzJb4fZVsQGq7cg9tGA0wJtM7oXiNgqDbwMavhDywwDxP2twf0XAiKn4BMMI0B1w75al+z1iKh5sS+fLblkHPyJwT4/wN3bBuiLXVWxs5N029+2Oq993IyLr8r2YQGTFflda++VwVNvQsoOpHhKaSpBk01iqdScL33SMloEzvPA8JAJn6VflkZUJUVZwEkdaqV4to7eq5SoudYjAavjWRYwrSZrOWc1D9Caj45RIspa5lQV+W4qqsYXJTsyu35SalGplh7XR8ty4RheNbP2LY7bTSleYElt28xiaQGru7v8lmMMbrXYwXQcaSfs0DKV/e+1AFWJ3SizXbaqMjryboV43o1LacJske/38E6i+F00fVKmitlhGyAeJF9uTYoXV88BWJMeH54RrcjGuzK0jrrHEJTWANLDJvVbOK3gsPtm1u8+cEbrPOKtz9+i+eHBz6P5BLeHXrsjjss04LHLx+p1nXEvlnnlV2rK/AibMevO2TKLdeR1ltap6w1FaQRZoreu1XCklPE5fKI4BuWUUygWJMVl8sjfuMf+kewjDP+D//b/yment7CGINPPvk1/Af/Q/8xvP30czw/v8N+f9S+RtiT22f7Fz1+IRqtMeRwdxpHzHHFvm3xS69f4ZO7O7w9nzEuM+aVGseG3fucNeibFseuxW2/Q/AeT8OAp2HAHCNiSvDWYl5XnMfp6oGENQAjpNLUJMl+jOV6rF9Ep7mnDBxP4+1tQSU/89nvf4Y//O3fI+dR/jPKA+Jg+xRJq8LIFqEsEdN8wbLMaJueb5CFH6QFTdODrLGzmjEA1LQ2oYOxlnWWRd3YZAIa2flTNFiAUGxbpQ3RKN3hcNhhXVc0mzwh+ac0neu6wq+BdDesE62TQKI++rbRDV8iFeQwltD70AYtFAQlM4wQw7MBDxdtOZFJTZ5XmtLy91hnMpsRNC+tCTHO+iDRpk9NM0rR99Oc0RThfUbOIz9YAS8nQ9KY00LnsPIkk+gupLGclxHLOmvz6X2gaxoXON5sqg03N64bJ8J5GRUtOh7vIROrGFc4R9citIEWpHHBOi9q/7+3BuN5RNs3mqnX7TtC6DcicoA5/CrYpwJ2azgi1zDnzHoAuf4AXmQjyTTh/HDG0zjgg+MNvYdkps51IxvPEy6PZ6ySycnUN5kOZNHHMR0wx4Tsf/EF6U/7oa6CPOncRgUAAErW/zaoZhLOBTRNoz9PzpnXRbhQlQEpjIpOWqyXRuSr1D4FgDYFTeYGSz6XglNzXUcuTxcMp4EQYe+vEODlOGParM/WG7S7DmnNZECTOROMgUDXkCGGZ7Mymdwmdmy21mqx4JyB6ymSxzrLWW6s4wnUkHe7DpGNc9Ka6PkaJ2Z1dLSmlKQNM0CNdVp58mprkw4QWEYujARyvfv0Pa95lAdMTo30eqENmIdZQVCKaypawMk1kwLZOKNF0ta0Rw6JKiqlYJkosqXpG5q2sjEOUROvw8H1XrAOJSZ1PJcCASCk2vsWKa1Y5hGn80NtIlDpu+KqSV4DYVPgJNX2yDFNF+QvE27f3DE9mlH4NmiOsDTlpP0PyJFMnKShF5dzAYvTWif0GXmj3eQooFw43geqYVOfg80krTBz5/J0xvHVkfd88Gvx+RKwx1t11KxMBKMFZSlFacOUl7ptDvJXzDi+bce2odvusYHvFdFYyr1Ius2CdZ200WxCqxFFct+hFIRg1f9A3stay87HpTaa3HhK81bpu1YbWZK8SK66V5A9rAHJW4qt27UYzyPGy/BiaipME4d5oLzuXDIsLFJeUYqDdz2alhgH1jgkZj2Vkut0abOOxrgCHjoFdc6qk7as0TIVlN+TDHkC4olRJPpUyQRtmk4nt4mbM6CuM7S+RGXWCTU+hIaATB9gkVkTCp1ils2+sj0EhH9pEiPxNdtp1zaqg75PgOhJ5fdyFrZaA2e9upLnnNE0NIUGKOf5ZQMsz6horYVZpz8Tq/GY573Kg57TdV4xPA/oDx3F6XHD1u07LNPKe059vds3tzi+OiI0gSLeHs56juWeP94fEJcV7z97wHgh6rYACOuywjcBw3CudGF9pq41othM3OWfpRD9NoQGYP2zczTFD6FRrTHMhkZsLFFkpxP2+zs9B/M84vvf/038zt/+/+Cv/JV//QoM+t3f/Wv40Y9+G3/hL/zn0HV7zPNIJqbdAefTAzKwAb6v74NvcnzjZnNeaWHpmxaXecZpSshlxmma0YeAV/s9Ut9j3QSMWkM6zr5peKoy4+F5wLjMMDAaoTKtFGtirIGD2ywMBYmnPILUZGuQly39pn5GyfQUU4lSgOFp4EKBkJLPf+8zfP4HX6jAXQ7LGj1yKWMqZFwg4b7Cry4lI6ZVM4Zo2rYywkNFQggNmrDX1+4PxCXHMyoKZB1yjmQFPZLGRuMQvGV62KIbbc4FbdtS7EjXsFlP0UiKKyTXsSEQZ2uWQk2fFFuWY0nkiCuh6iLUlg3HeVenoYYmE/LQCFMgxupoam3SCA3vq5FDXGpOpW88UvJK3aJi2yNnyrdq2x2artXNhxaLiHE8K/IF1EVcnOEoi2/BNJ3U9EeaS9GOkKaTC5fE0QA8jSLxPRthQKacfD2ZOp0Tof3OedzcvGYdief38ErxCh1p8OISEcNKttieXC27fccmQQVN36rRhRRTpWz0TjlDApCILluNAST03hqOebAA0aFoMlMAnYgBwPnxgg+ON+ibBmcp3AzTeHPBdJkwnKoIXkKYkaCNptCz6YKb6ij5XT42U4HaUPKU6IXY3vkAJKNor28qHVwiIbagAgA1wkkyjXG1obXOVm3lpoAGOKKIsyrjEhWNVrMXZxnsqOCDmKxRfuRCum9PmZG50D0Hvj/zWlFW4yxgCizq+0ujaYPTImSdVtqYuwC/rEzf9fD7QNSsZcU8LEjrSkVKIJOsuEa8//wBC2s8m76BCwHdDjypDFyYBKXtigFdyUJxNVfFkAsO+Zw1K/P53TOG5wFt3+L2gxt0h15ZCGmNmC7TZvJo4Jy5KriSxENtstuouGKWhHe8Z1CRs0wLlnGukUacbyyRHXIvyXQTHCVB08fr4G1Z/8Sobl0nKsaNwX5/q0W+SC2QJUd01b1jGJ5ZYhBUW2et02lETgkPX7zHzf0NDvdH3nsiSkP07HVesb/dX+U6h44AT9Hmyv26PeQ7Xf1Zrs9Niol1xVXTRkwafOV3lmnF7qbHdJl1HQNokmCdpXs4Uw6i2YA2RAOmCYi4LTuzae6dhUkWBSu+jYfsP3TP1cmj/De46BZAYjvhK6WaKhXavLQpor+v0hTnPL1euS64tcBlD4eCrLmLGjP3NZ9ZhgMAsK4zYuzhE+vcnVXTr5VBHEoWCCglYZmnqwmOMLOMsTwFd6zXtcBqkPOs308+v/yurAPGGIS2uWJaSYzf9udkDZ+GmRgWkTR+03Sh38sJ1nnWMRKrTZ7TaRoUpCeKZoLkfxLwzYaTPiAlA8Aji9SMHVHlnMvzTjVRo99JXMdLKdocxTXB+frU/cZv/BS7nUTHQGtPepGq16TP4qhe4Jg7Yyw7SWesc0SNjSHggnJTW3Lhr8oRyKQ6yWTwBRhLWkhUNkoheZ3tAsBGPJbr44WNTJu+w/7mhJwyxsuMX/5ze3x0+x6nx0eu/Vq8/l6GD084PZzxen+i1/UNuh3V4Zm9AsbLha8NfZf6bFmS4IVAayCgU1XSCUcYWIxTh9/5nR8wzbsh+jPTztd1Qc4VrJHn53J5ZiqsRykrm5qmq0Zzv78l0GIZsa4L/k//xv8Mf/E/+1/H7//t38abD76Prj8y8JuQuMmkZ/IXq+++cbP5PE2Y2bCgCw1e7Q2exhHzumJZV8xxRRcYLeUJiHcOx66HsxaXeca0sEhfUCoA07oiJvrZmBLlHuZ8VdTaTWaOZuVsCmZjSL9BRgKs2TQW5/OgGs1lXvHZ73+GL3/yVu2wBXXLtlq89/sDobLLyFo+WtDO50dC7hqi2srETNygvA8IoeUYD6sLp7GcpxYTm9m0iJHExITYUVgxNV5EM0srMM+zLoqWmzLnPNqdQ2iJzruMi54LmQIATCXugjpySdPYsqbBWqOGDjTJpQiSeZhhncXrT17R+eXYA0H15YEW/ZloWly5nnBt6RkSsZE3aFLbd3CL19cAgNDuVE8m2avLtMCsHMQLqHMi/btjCk5BzpX2bGAROKBeGwCORNmiTvW8sQ16ihoSLXRdk6opRFLqmUWKRFUAgLu7DxXhbbHDaiMMa+DWpTqgNR1dMwlYnocZLdO9yQWUi54NMvi16KNokjaFM32u+h+yyDtANVDjadDnd+XoGil0hQ4p55mui0HamGVsDxG4O2+/45rNlwWa3TSfFkYKrZThu4aNggJRt9ixOcUK8MhzKkH0ArCllIEEFEtmJ663OgUVEACoE01rqUCU9XKdlmoExjbtKSbM40wZs2xEJc2nTiFT3uQeb4pPgIrBejYgqJ9s+M5b2EDxJYb1SMtEhRX4nvLBUc6mRCxl1pRaWrt8EzA8Dzg9PGFhgzZpqLodxb1QoULNFmXuybrGOllHjAmL6wgMAvD43uX1bOX7//I0aOFI54ikEB1TfIVJIc+ZAEByiI5HY4H4nmhZIy/5cACQOIM4rSQ1mM4jLpeTmkkJRY9il3yddhqDnHe0DywTU/8MUlw1XLyUohqow+EOTdPh6ektlmW6Alpzjogx6762rrMyesDnyTgD71qcn86Ia8L+jgBUdTTuG4rgYQM6mXqWXPDFH36h96cAV/RglI38ZaNv2xy69mxAxm12IhwXuuw0L+9P+y0/P9wjiq5Wzo2YiZSUkVaoQ+hXNPR6Xb9x+fQP/KENPz/jOvnd0OnEYErOn9GfrYY/Qq0VxhEgoIgwPzZ66M1zqE7HFmwauM0qbBUwqRRpocSvPOmcYC1p7NaZ1ruSMmnAJU5Kafv0PZ11OvWyxmpz50kQihRXJNB9E3yDlMmdfrvxUkPqef2pU38FkLZ7pKsTzqs1IEVOITB6vlJasSzQmskzq0tYCyQNilp7yvOs63POsCaj2GtWhUzrhZ1E778i51bXM6BSWIGqy93WAX0/4/l5p6wBetOi/00RdxQloswP/v3QBpwvwHyZYFyrAB4BZZwCYTryI2DGnDAfJLZPHHjF+EkOqXdDR3Vuyhn5IaLpSKMokX8l91jXhEPYA2OL4emC5/cjzqeM2w9+BW8/dxiHE+4/eAO/+wSha2AuDzidEsT4Z148AVia0tCwv8tmzZL7wHqEhvJUM0sN6Ocqc/BwGCAazxgtPMQhmSQQyywGegD4e0dm8e12t1iWCR//4Jfxb/xr/9LV+v6P/qP/NP7W3/r/kfcnvbZleZ4g9Fvt3vuce+97z9zM3cMjIiOkzKQoCUqpYpTJpBgglcQAIYGYMIOPwIiPUVMGfAIGyZABlAQiVRKkEhCVUJVRkVl4uIe72+vuPefsZnUM/s1a5z7zyEy3koIy2ybTe+/e0+xmNf/m1/wn+NWv/gWAhv1Y8X//v/6f8Kd/8u/iOA7SnokLjtTjfEIWfj+O+h+8Wm7Hgc8rcUWCJA3eY0sHcm04ckFtB6JzCN7DN7JKSaXg25cXZMEeg3w05xCwpYTbccA78vC87lwBbQ3NAW2ACdJDGDb31u66AKJ8GjmoO1LGHz39H2Ee3yNtCR//+gOe/uwZf/+Piz4kqhRUGCPJ3G/hPZFlAejCWkpSsrAojAnURDg4MnCOg5LNGKe7RbFyN5R8I3cNEDucjkxlqYI4cYKWIKRjYzxzR0kcgyCW1I3QvBzAbXvAP/8X/0C7vMTlIv8kH8PwXqsqmUb3GepWXT5dFS6lSqQDhMgyp4UgRx7Gds86F5ySzffrhnykL2CCaU9YHgiGIMqDGiCwWTepMW4k1LRd7wzKqbpPsGTpXlrjtBpqWXJdOqdd/l+C+C4WINBjxxU+tAbnA2JcKOCDwbZftSJn0ZCyIYW4QtX/0+lJx4tNtBjkg9R3a6m4fL6yR2DA9dMVj189wseKnDPOT2dcn696b7XrNChzymIPOFbdJEGD1riX2bo4ECXHrSMB+Pkde8Kn6w1fPT7Q+BVBL+4wqZBJ46onANugnEDhkcp2M3aYf4zH6KcpSrQjhJbGPIBWkXPB5Cx8FINzCsRGOxJJviRZbAwFJLVj6bCIBHpXJ6YOZk92RDhHhMBKpkJb7CcOgAoO+20noSjpWjcOUmSvFN4kgH1lbp94wRan8up0/vSncEcddwWMpYSQKsBFuwNxihBVXunOin8ZQOva599+Ym6nRwgNx74x9GdCqxNgCA4rPFjDtibWUqIn1yTrGxWAupUMMPDVAL2f4gHsI3X8rSVuDqEL7i01xmKMIBG0MydJESc15DW3aTdV4YhHxrGS8npKVMg69pXRC33LVv4Xc6PImqTDYRN7CMv6phSQWjTBbK2qqITwzsVOIoZJEw2xdCAuW4Z3ATlTd+f5E3VOf/JHP1FuJlm3eITokY6MtCfEOeKrn79DmGnduz1fAVY/zkkEVXpiI0m8FDu87A+V9lZZ0wSO19ceDrEbPa/z0xnw0I4+eRA3VPTiAtBpBvwwYX1/rrWYTmHgjnS+R8j94A5Vn7W2J5F8f6S4W7iwKmNRuuv0/nuuOvBKqXXoYAtvsqHzM+l1DTBDsg8LZ21PcnnsS1ePeOJk9XAcm86L4Lp4G0CiYoH31daaxmckiBIIvTTwGsXijj6DeKICBy1VeM7UAZU1JKWEulOnap5P8Kep31vX93Wy3zsU3SWIudGHWe6l6iVIkUUL5N0zdCzCy7MCqCBoKtuMlApuXureIvNNtBm0aBc90aOUV5iQD892aUYL6HfrpjGKFgCAFoS7SUmmNQbOWk4Cgdtl0/fWBi4m9PuRjgxrCjUT1j5GAtMPXJAiCPuWiztFpQKDOZLaXLVGBcR4mtTb2TmHEHohxUcPZy1ePrxgOs342Z//DP/yn1/IweK2YVpmun5G77hA9oxieSJjbIz59V6015D8dheXgkd6nzOV1+es88bAwAfxR80676TbHeNCHrit4f37v8J4/OLv/Dn+6T/939/97C/+4p/hv/UP/hE+v/+EN+9+gm37O7jdnjnRJBTDNC34PscfnGw2kKemJITBe0TnsMQJKWckERowwGwC9lJQW8N133E7hg6cMSitwTuLNSW1VKHENOPIBU6Iqqg64eQw1sJC/HYokJCupgQRDcRFCssL3n/7Fu9/9S0+/NoiHVTdMIaSHiEMkz+QeDmyOpcjmeTKgjHbJuGa+DxlSOhNVYTK8I0AYwiSWyuRvVM6sO8F3pPdxb43AAYxTgzraBw0NgAHYnQcEPSKXC0Vp/MDptOMtjdsl5U6ZWHpA7kBX39zUa7m41ePmM+zfv78sCj8TrqZcm998Ap9qKUAwSk5XDothQnkGvAED2MKaqXPi1NQ2AW9nojxImEN0H0leAslvAKxkq6K8xb5+DKBscbCh0l5DWm/Yd+Jc+GcQ5xm7m5umhiK5xxVTrugSzd2niE2N/tOVSXZYHwg4nVXmSVoDgVmq24ILy/vkXPC09NPWMyAeJzWOrhKxsbOOVw+vmB5PFGh48gIUyAIrTcKrZWASxLE15tNKQSvEb9AY3qwLHC0bijNgZshqHUNFbeXG/7o3VsYZ+FBVb6Sq3awa+GAzjvUg6uaVbhVTTep8XjdifjRHLrR3vM0R2K9VCFT2uDDG6A1EIqxc24AsZQhlVS1mhi+o9Wmvob0+gY//N1wJ9EYqvz2c6PAwBYDoHPBc84qQiaKqpL0GWuUI1NLAwopTLdakfeE6gys91TFL5wwoXGBiboFfiLYlGOaQ9ozV9JpTAVeTw6mN7TGFlWnCOc9Lp9ecP1MBRjnHYvGcFBRElIiGJR4xfZqrNUETyBXpOLstHMm1h1yL+DI/kc+J85k8eIjFfUo6XF3c1MgWnLcQUOH5FO6ma2RbkA6MvuCdsEtgYoCFJDOpwXxOlPREg0CUwSIskCidUQfeHn+wO8j+kHwUYtIdCqVBZoIwXMcG9sTeJxODIVllW/9jpIUujjyd27rs/KuWmu4XV4QPwR8/Sff0PtYOdZwQF1LRWCqxsObB5weT9iuj3j/q/cAEqjD/yogk+KoBGyi3sviPNY79YemroyMc2j3uFWin8znSRNhuhYSTAO6oJwigZzEA7WPJ1bIleKHJKw/xEM62LKWvS6gAZwc8s+9FcVWgrmmtA+vd1ANBoiSefcxLCnrXuyZf0l7S7cpqa1TsWS86Xxur3jqwxqZ0s5eskzPYZ/fVqnzbm1HSdlDKDgdVkq+2kmRZ0KFIL9aOjfnAyY/c5FGKAwFOR1aTHOWqEuyp1MMRIWTYzsYSSQcReJmN4bPVu3UUTeMkFuFxA5N4aSXPEIFUSOL0cizo45nb3iMh3Co6T3SVGnY9xWisk9q1k6LWbrH2U6HIkpUhWOEmxaga09A7ZCAWm6U5CMTr9VapCNhXS+a6EqiXJJBqtzEaEUT3JxlHxOoJ1l7CUprXFPQSBRIkCbHdiA8LgiBGh7FWizWkXvGQvaI67dX/Povf4m/8+/8OX76i5/hN3/1V3j/y/dkT1ayKrkbhvfKuiX33DnHIk8dXfTFfGMrHDpFeX/74lnVUtTiR+6LIByFjgdQfJHTgYZGcdwgYmWMxbREbOvl7hy27coUKrKRWpZHPH/+lj4PO3yIf3vJphytNXy4XuGsxdvTCXMIgPdAJv+04Dyetw1LCKit4rrvanliDOCMRbQWL9uOy7Zh8h65FuJvGgtrKiejDjn1QFuCaOssCncRSbGuYl6iBt8AVNH12HZ8+u2Oz98+o2S2tmhAmDwW5nSmIw0iGRII9sVM4JPkcXngOA79twF5rwFUkabOZOT3HQrZKeXQz6P3kxIlHVJBBBOBi8JDpmlBjCfymmTOTm3E4UrpQM47jp0Sj4enJ+omiFJlIENz4WiJcAZJ6lcNMq21MMGg7qkrj1nyKaLNmxZ54zrJXrqU1lrY2Dsv223DEqi6XTLBNI/tQNqSVplJxTQotEUOMlD3at0Ca1hNtmCazzTBhqqqPAPhKxgY5iSRolutB6w96WtryVz5Yvud6RExzsMCWZnDwWISlpK66iNvFBn7sapvmHNU/T/2TatdpSScTm9o4xiCHxmXws+Mc8TT10+Ic1BYR9poDBJvr/PoxmRSxqj8XOaj/JsM6pn/WfoiRwR2j/WFrHycd8gciGUWjRFoh/UOjZVC4RosFxIa7u07RoGNH+vRobTEybBS5R6EWEpjLg0HtsKFFYsN7Qrw+kXPsPPWDVeM5TYb02FN8j7rnXoN49Xm1mq747UD1A2krmUlNdlcvtg0lTdoeheQurENJh8ozrLarONkzHMi1sVFZH0FgJQSJc2BzrWxQI9lRe35PMEYi+vnC449MeebFAYVYmYMvIuoNWFdr3T/ZL1zBMfdmAowLZE7c/f8sDhP+rPylq1L+Nn44BkqS0mp+JHKd4xzThP/AW3Tg3bDz9OzUNh+B6kVOF9FRU1F97dWqbs9z2fcbsQjIvVPKngS75y83bwnqxBnPWopuFw+Yt9vmKYTasmYl0dM06LdEHoGO5ynIsO2XTVgm+czluWR7U4OShj4d+rL2aST7lmMwmG77nh5/4y3P3un2gJ0jyMVM0buZcoknvbVgVYbtttGytcDb29cSsY1TxLAu7lnSWxKCmsOgPGEqU37wTYTxBkd+WO9g9rXLjFl19+JVycHypKIVvPDFQgib77Xtk3d3smH+wIEgGEv8Ir0EvhsY7sRoOha0uGyVeMq26x276Wr+V2H7NuEWArczSNxr+4OUDj28Vyco/eKx6Eczr/qGvL4EP/OxjGgU/pS4ESorwHStZOOY2E+nfdx8Itk3rMn9AIgHTje62FZxZvoF6UWiC2L4bEm/Gmx3COVX4tNOq+GuMYenmIRLohL7DktM+/vogcha6HVZEmT5VpI6VqhnSSESd9ttPhm7UCnqiP8GpxgDUUbXhNhyB5RbAvRCG1Foplyv52KQoq2BkDKrgoH5oJ3SruOh7Y2TNNMnxE8QnCEAuJklaQG6P0pFSznmZsCHGNZA1sJ3ksdxYRf/cWv8af/zT/B5dMVnz7+DvNfT1ieztqRrLnblcm60VpjqHm5G++9aCdIG9N7MtR3kll4l3uIWFblrr4g80gUj/itAKHPBH0nnyONsGk6wQWPlHsOIuO3tYbn5/cQy6znl/faYfauuzT8ocf3sD6hExQF2eu6YT0OfPP0iKd5gQ1E/v58uyGyv+Z134nTycFCcA4VDdYAz+uGXAqcNQjOUxXE3kMfZMBaa9EswXoE1qLk4+ixzARXKKImWgu2y4qX9IKX9zTRc8qAoWCDxCPoITX+8zgoEfAuIi7EdcwpcfesyzFThZRgjNZ52Fp5wWMeKXfVJMGUTmGpaWibywCVrih7FfGgoqqUpyALO98LgresLytSIh5qSgkxOABGRXjcRBUauZeJ+VhyH6VSDwCt5ruKlHM04cPcIVFxiVph9t5T8NgafAwUmHEn5lgPLA8LcUNPE9KWVNxhZ2XHknIPqlu3rWm8MC+c/BkDrfwYY3AcO/Z91QU0Z74nkGdiAWPpmeimR3f6ev3MxPsuZDBNJ154dhINYOGDECa2EaAqJar4fnqyX6kZYmBNVbaEageeA0NrHx7eEe+Dj3RkxCXCB09KaS83LA+L+py2Suq0aU86Q+We3yWTQyJBf+8LXVcxBXqVrM/fkokTVhvZsbywJyrA3THbK/56DMmGaVRBFfsKuuc/5kSzC2kILL3fr9EWhSrucQrYcoc6V/TNWHmRYjfCm1jvcBvlwkgHT6r8fY002pmRQpDYb9CHGBWnKbncJaCk7l3v+Df3xQwS06rynWARoVzhQ4UxkewwYqD1oBJyhaqsDJOtDX4KqFmKPjJ+ARssSqrYrsQHzFsiKyyG4MuOPE0L9n3VZD4fBwWEhlAq1kTqHu8J0xKJtx6oOxDnjPlhIdn7gxSfp/NMXo7WUGfO9mTJx8DqqiKo1LtdcryGko+FvlbIAmm/7ZxU27sOJsWJhpEFwhOkuUh+wSdsW4fXS7CtSpPO46AHhdaKFsr2/YZaCo604+npayzLg3YzRTk9HRtgLDzzxEWHQMazPP9SiiJJ6GcWQEZKlQsrwPX5Bj8FPL570PvnWNBnZajc5dMLjDH46Z/9DD//858BAD789UdslxUtvbJvwn1CqBBLLqZBg12yMpHXSeAse9yxHvCPnqDTvAcKbFY9XaNYCdH8Eo61ddQFVfoHB9Vj1/iHdrzubkqH8u73rYtXuYGbaa1QVsQehGKgEUFwBz811Gmn4JiETaiL15WCR8GzNnyvfL7s540TLsfjmwR1uAM/oILSfihdBCDIo8RBmQs+IcxfBNhU2EtIadci0bg2OtdtRWAMpmkakHK0FqRX3SaiSTFioTVKKloXXSLkQkSciEM6qvgCYJ6qqOEffR3iLqgUC6SoSb7ELA40iJoZ06HTDfXueUtiG6aAaMgOywfhvJNeyjHYn0hCaawhGlw1lPNIohkccq6oOWszqNasHV65t6KnQvdWrFTEVspw8thhxcJvBSh+oURpgQ0GVLVnl4HGgn216npMLzHkuwtZW+h+rOsFv/vlt/ijv/cL/H//36Rr8DA0XEopCN4CHM/WSkULHzzsMcSlgI7Bf80M5OfCdietUTFCi6VFKV50rR7WnnDsK+Vl7HQR56hxMgA8PLzFfttxOj1h32+apM/Tmby42SIrhAnTdMLLC6Flmrvn+v4hx/ewPqE/S60oDIu4vtyQc8H5jyY8TDOu+862HwSRPVJCKgW5Fg0QgnNqj9Jaw3Yk+NmpUABAHVL6fa9gAtBAqrVe/V8eFnjnsOekwkPPLze8//UHnL+6Ih2RPSUdq1vR4Ko1sWl50QCCJg1wrPRAaiPYAnnQULVAJn5qlhNNXrwcQwqcQBMkycwgVSd6vwyaiq5uSwbo5NvDd1u7F61tmOcTSA21YNtelKMUQmDTY0vG2bWi7lk7WaVUYDsoiCmVxHyYsG0swemmMCFGj2mhpChzYqQWLI3x8bUhczcDILP5MEVYZ7BeNha5Iby/9x7VF8Q5YL9Rh/P0eELaD+5udM8pUV8U5UzxuANoIb3dPrMSbdbKjghgyDMzMLjUj+j+TQ7zdIaxVieXcF+dmzlR77BVw/CVWqh6JO8VXu88n1GK44W/d4HkHErNONIG65wmtk9PXxNHrzQYU7HfdvhAwhn7dSMrFLZVkHvugkM7GnNbabMeAzEtxsgCj17kGJNSmSvjz3Miz7sjZzxMM7a4Y7c7BVls4yCCA8S5A1oiWGdLHU5mrUWW/IXh2D/WwxhD3QBe28R6pxc8urgUSeHves8EFiNdMBHgGYMZUVSVCqomtQDEc1iTUiMqpQSlNc7dJUbaiatVfW7l3xLEA7gL8OjfHETwfwKJ41/SWlcLTAamM3U/fHQotfvbEcQ+sicnvbWhYT5TkfD2smK7bCgM7z22naHoVouCIj4Sw4QjASGEXsk1JDoW5ojpNGE+RfhA/sXS7Q1TUksTyxDPViOSzbxuSaJhB6sMpxx3uTfNNA2wpC5DBbwOuy0pKxcWplul+OCVitAaJdMjb4e4/SLUM2G9PcOwWbj8T52OTD7LVsy3KRg5jh3Okdid7C0fP/6Gi5fiixlQXCcf3gdEFdN0ZruJHdfrJw30qRAl3Hfm1WYa19t1w7EnlFLhlQ9J1xmmgJ/+nZ9SkSoXfP72mWCNM3HkbHkViA2dAh23PEfGLrKTbr6MW0fPeVRoPrYd02nCsQuyphdv5PNDJLVj5zpvkLjUAxTNEiT0+wZf//963ImdDesZ/c5oYauZbrVhrMM0qNP2PYq8/oyB6ivcJ63dAqQnTFRklbVHOo4A7gtmwPB7ESSj+eld0O4rQbqbiq/J51VGSdB3ZqS920wBwhssum69TvJqvS/ISOEZoO74cnqgsZsoVrHeIu3d7zYdO4k3xqUrQxsDNAPrPBWGeK2jgrgb7kPWDqjwranDNaHbxHUupRTia20wtTKajDvIrDYrCT2pmTo4R3ZKDU3FkuIU7lTS1YM7k6pzkznRujgQrIWxzAfNVWPGzGJoDU1jOOc9NU+KEdgO8+7HfahybFdBYsZ1EGwqnPwdiOGRunT7AZsywuQJusuwVUsVJOomW0IEGWuwXm64vVAz4+tf/BSXTxes1ys+ffsey8OCP/57f0LPeA4AjBb+0g5MywQ0ymtzpWsT3+PX+3kfw7IGGTRtDPeCnnbxIVZRtPfWVlHTTjGHdRoPk06MYVRLxTff/Cl+85t/CQCIcca/9x/8e/j7//5/hP/t//p/g3/2z/4PAIC/9/f/O/jrv/ovIU2XGGecz29wvX6iws5wnX/o8V8JjLYWVmCqDbeXG35zesbjzxasx4HrvvfKc604MvmIGe5mHTnzzxonrVAYbXAOK/riZY1BYm4RrIFYagI9SHs8kd2KgdGk8/PvPuP9X73HL04JJXvlO9VCCoqUyBEUkmASNOj2/Yp1vaK1hmladIMWzLzlKnLOWZXZ6FwcnCPIGH2mdMdGAriIHDgQD6dDB+R6AFEdkwrSAWMmrqp5xW+HECAwXElKJRk79gPP75+xvqx4+skTw9MM8xfsfYWdJ16tFED54BlKNpGY0WCrkvMr/0eeSDl1vzoAEAn/2c2I84QwsTw0/14tNdC7d1JAkCBmzxUvL5/w4cNfY9+uFFg5r8FCyodakzjr4HnhLmXVe3kcGy2A1sFZp3DfsXokynkCHZBFHAAcOgdg22hMFA6A6Zl+GXxQZW5HqwWfagHaTzGfT7qop+3A8jAjA7g9X3F+e2YRjIKSC5aHBZePF9ogjQHtxUN1K3d1XPo+qP/tmGS2njvoUQt1UC7bhq8fH/G71gaUQPfRks1dbR1Mh/3J79Uvr3bRjh/bIZV88MJ/Z4YOqRhT1V6CNQmIAemCMSepNrIBGYLdOEkF8x7tIQcF3FYTUQkCjIH+DCCe2wgjE2XVuwSKu5WvCxjUzevjr4Gtbxj6Y4bmtnUWNReGwhukdecNSzxiCSovcWyYApy1uHy6Yn0h/nnNFfkoul7KvPGeIHP7vvG/vULgXSDI5/ndg6rbNpAi+nYlr2DhwY7XJkJGAt8MU0Ccg1IRJFC1Q6BFNlL3EMzGMGZdD4dEvtXuwYlEvCjHXFdaW6Eq66NKrowvw4F7zrv+fN9vHCyRf7Osi+IHJ89zYgl8NFKGT2mHwA2dC+SHGKImsfKdrRG3M/iIZXlEa88cGPJazXw85wN5G7JXXs1FFXVdcIjzhOWR1JJvzyue3z/j+vmCWhoe3j3gmz/9hlAztWrS2BoAtvmRYorcP7k2gbDRmDNczNNJcafufOzkfzedJpofErxaKhJR0ZpVH2tFTkDzRB3w0XO3Cfpdrf1w1zpJFBUlJPuJUgLkOXgd63Io9WTw4RQva2MFhXEvxgQIqksoKNTlJL6j2Px0S5Qx+RQoLhVPeO21w+fsg5J3o/hTY0rrUErWIrTMZUl+rHUaZ9RWqIOviDsRzuJr5wTcOY8YF6I35QKxnCupd+4kPqq1aKFb7rf1ljuzHvu+su6H0etRGxJTYRp1raTQpDDn6DG1E68VTm1qui0LJZnqEWw9rHeouUNtRySB90Hvodw7ioEInQP5H+COadPxIjDalGiuzo78xSXRFK6rCvpAbueQVOrBnsxD8iNdWSk6OMvX6npMTBSMCsN0NusdXAhwI4eUx+axHqipwEwGy+OC5XHB5cOMD799j+vHC7762Z+i1or3f/UtUwp6oyMfGfE0oRVqtpRa4WMccgNDnXydZ/dMF5oTMsdeU6aaPmMp8rZWAQsES4g774I2R7wP+Kv/8i/wj/7R/wj/+B//R6i14le/+gv8r/7n/zMAXNSBwTyf8d/+9/8h/ul/8h/j4eEdUiJF2tPyyEWLnZPZvyUYrQQOslE35je2UvHx0zPyN99gzxmlNqRScORMyaJMNvRKl6hTAaRUVWqHhMnPjDEK2wK4S2OhAjStNTw9PQAAWabwmz/89Uf85l/9Fvu6Q3idrXbicOWKe847vD9RZeU4cLs949hvSLxIHgdx8MbKGoeJJEgTJ+6QUXKSUlJ1RoGRAAUhBABW+QBErDesLBv47xOsMVi3G5yrCGHizxmhjiKPDVZci1rdA6SSXLCtK/bbiu12RToSvvnTbzCfZhL5ad1yIB2ZoZvHQGR3iAsrGJauAHZsh1p0hCmQ6Xvofn1U2XcoHJD5QFW9OAVs150gE6WooS4FbgGlFMQl4uXDiwoFXT9d8fzpI3ubJmz7lYP2qorG1EEycOiVVUkAtZOXD4LJimR6I2/DeT5jnpY7Xy15LvTZDsdBSatIuleuRpaS4SHm593kmTYSen/g6mrdb/j46Td4i28wnwTrX7FeNpyeTmiVup3xHQW4JWcVJclHpo2gVBZo6UGSzAXdQFrvIAnURF/DHFzJPnPOuF1X+Ldvtcop1jTk82hgDqA5sm0hUnxFsb1YkPasa4CxP+wA7PcfPcHXhMR+2R2QThIAnjuR/RqtevqJ4mUvFvQ5BXv/PYYLQtY7Rifcc5E6vNBocCMBu3SGpGB0v6HfF5Ak0cSrQkZr96p6lhMEA7ANCxUfji1xJUQg8xggdVQso84T8YR89DjWnSq3lQREpomMyoUPTbBNmgshTJgfFkoiSrkTWxieEF9nQU0Vy9wRARJEabfeOeblNUwnr7+j4Io4ko4DM/I+I3VZH4mnKurZ4/ykzzAAGBLoHcxQaCilwFeCttnaLXKqZ0ELR76Z23rRAJuoHZlUatVNwcFO82A8Tx7HpRa0g5J4Zx2r6DqGTZG101RPpNwZ4l1SYYxRyOOyPGLfruQtLYGtKA0b4aU3fPztJ3z9J9/g4d0DptOEvCc8v3/G8/tnbJeV4MK5cCeBVO1Pjycc6wH4pigOeSYAPS9VTzeD3VYkoRfnPYCsY17uve71bDNzejzBeofQMCgEd0EtSXrv1lJDXp661tUfNj995J/f8fGNQUNVZeMOc6wgFAcVH2rNdzBbCYyNCVposkPwKmPpDqE0jLuxCD/ybftn99hQisWSqNR6aLIkkFaJGYwBBExAz1s40xlj11Vjq2Ht66bXTeGh1josywN/LhdBWHF/3296vbROd0SXeHOLLy1qQykduiyJsfAy0UjTg+xPAl8nNS1GTQCCXha05pVjahmBcmyH7gO5VkbbvEJHtaaK86WQkrm1tNZJIQFVa4b0DFuDbY1iDfn8XFSXAKACqjWWFbcP9o0s3Pnme9DuVVpH7mNgLQBR7c01qY4JPYdwBy8GAB6SsLbClIoQSPBIUJG1VlyfVxgD+CmQHSBrJjx+/QYueMR5wu3liuvnGz59+4kUfocxkXOGTx5hjsjHwRnOfeJOL+Zhg+6//V3zb/gBv2ekbXQ9GWstluVR+cHPz9/icvmovP5/+A//h/gn/+QfQ5TI5Zjigv/wP/xf4F/88/8nFWxrUR2SaTphnh9w7KtC0r/P8Qcnm26A28hBsCKa0O9fXjCHgD0TVK+hYZfAppFdiiSaqRQsIeCQycmJJQB4Z1Feqb6ND8Fag5xJ+XSJEVtKcNYieo/n6w2/+cu/xnoZkgUWchH8OC1ujeFIDem2Ytsv9JAYapkzg16bB2AxzWe24aCF8DgOniAW6aAgqTVSx9u2K5yL6MqmlDiKdPa+G8aY980r5x3OxaGLYdWzkyAY1A4PwegCZu0BFRlqIBinJa7owcRhszqkLeH0eMJ8mu/hq60hTIG7jhmyzoZI1cia0pCgV+brOYac0aYhlX7C8xMMdj7NGhzJ86LktRcNLFsBUJLq8fabtwCAD79+DxdYYp2TRAnWW2vKYTqf31AlsVX1o7PGahdyNL8l7ghVo7aNvDhTOjDFGdbJYjsk7bVj5uXwIeJ0eoL3ASltOC7UvQRw50Mm1SwK8OjefP78LQws5q/fwTnqbm7W4Pz2AWlPquKYD8CYhvk843JcNOmg4MhqN+q1Guw4P0jmv/9+FOiQTafWRrzqGPjZCIdPIGi0yMumZK1BlcJQ6VVJ4Vi/Nmn/cRztLigTj9wusCHdzt4RPtYdjz95wvVz97cFcHf/5Pn2TgH7AGpsM0Jde/LUWtPCgiSqo8CUfN4YSPdO2r3ox9jRHH+mgd7rn1mDOAW0Rht2ztRRtM7AhT4uCUKb4UNEOg7stwPHJhV+QzzKRGuorE0SiErH4fHpDUFlGXIOgDxErdE1iM6bK9+lAqbzVBWGPvJfuchC/4YWw4irTh024SoBvI5Hr6qn0lEGKPGDv4csG9tIXX0QKyogqBxi0wSSnrflACfCX0ip83r9rIlkZViuHTo+R9oH9AwlAFSY7M+JupWrQnAzm6uXkhHjginOWNi+ia4xgtRBgwq0Ta3p3uM9wXRFzbOWgu264f2v3+u9Lqng+ulK8MLHk1rtlFyQ9oT1smJ5mPHpt/czi5KSXunXsWah6psUKIqndNA5JImqdrEcQZrTkTCdJlw+Xrj40os9ct+XhwW3l6ZdsLSJGB3DpXms/xCPcX6PBbPX1idj570ndl38x7num2oti4ex9oR1vSMqFjxdUOg+0ddk0lSgGeUjy1omVJaxA0TPKg+vMZzo9jEj3z3yHOl31MGEMap+quJIr74HoKYJOBkkCKrRbifZhmRVWFWBLl7EA6vce6Z0pT2R77F4YzMEc+zeNl2rrXbJKrp6K/G4h64xw+rdQAmQY7RUE2RZzQXNUEEss2+8fGbNBX7xd02FWrvtoHytKpez2FIrlMxOy4SSKIbNbFcDLvqMBX6ykOlxjsScst+kfCD4SLGxj9j2CzplhW2+ShmKGAmt+bvk/eDu6sSxcKvEIQWA85szwhzQSmGkiMPD2wfklPHh1x9wu9z0uQCS1NM4PvYDxgI+RuAg2hoJWO06jo3pAmh3DbQmeYB0e/PdPGuNeMny/J3zmKYTTqcnOEf0uXV9wXFsOI4N3kf85jd/iV/84u/jf/I//V/i//J//t/hw4dfwVqHX/zi7+G/+9/7H+Av/z//GS6XjwhhJp/ZTJzkECY8PLzFy8sHLPPDffL7Bxx/cLKZa9GO43hIBfjblxf88VdfwVuHPWc4azRBJe5iRTUGuRBkVniflFxWpEJwh+A8WiNOJ9A3S/07i588Pp71HKL3KLXi219+i+f3zwAIFiVwmQoRqRBlUMPVlRcV5RHFJ2BMqBuAglLEQJj4l73qBtRWse83BE/S4PR5lPSQ9LTAbEluXsSDSilU7XGOKlMuq8WBKifGGSkZXhwLT8SAGBbAULdz3zOO40CtCdYGHMeBbb0gTgtqJb8z8XYCSLzBRo8QgwZK1P0FbOxm8WI43EpVufBWGuxMVh3GUAWv1c4BI5EQr5YyZKlANjSFoaK1VARDghy6UTGEdT7PKKViv24QeGtgGf5tv/bKNtuWjDYH1jq0/aYL2NilkUMqnCltGC0FYlwgPDtjBGbL/nKeujApbZimE2JccDpVVm5MurkJ9AXoSScyFQeeX97j9PiAOFNglI6M9bKqLQ0ANfsNLCkugk/VknCFQx8XrztP4/yQcdmDI6qaimR5LRWpFKzXDac3Z678Nk0sLYuGlJRhnEU+qBthncO+rneqzz/kSv+/7hAOowhpCPxMYYZurFJTR/vrP/mGbTNIndNwckmf04PZEZo8bugwAocf4LosNgNAK9UAlJdS2LqklnqXGN0nuUZrK9aP1fB7Lp0bfta72xS4ozU4a3C7bKRcWqm4CGN4PaeALqcDx0oy7TlRUackRsEMnnz5KIpocM5iWiac35y1myjqu6XSRh7nCX6SAKJ22Bq/rqGp9+2YXMuFUyDKyqZu3OhJrTZYrny3ro4u90H+XbYD3jvWLTCqZptVgZGuWTqx4ERb560T03ePh3fE33p6+hop7TiOFcexImdSJ+zn3M+f0C4Cye0BBECJ777fOCAJDHdjsRXew8Z1TK5vhFs7LrYJ/NF7SiYIylrwm7/8DZ5/9xl/9x/8XcwPi3Y5haf+y//sl4xyqbh8vOBnf/YzhCng2BosKioL7YGtycau+t06XmTNJFscDON3fK386NgOPLylsXP5SBYAD+8eEM/dwmI+T9RdZ5SBD45sigC4hh80ZaAnl/6LNV2C97GbKHBs3ef45tcxSYXshR3WLGgg7aAxBLWy4r3sz7rGcJfu3srhHmlBf3Y/2nH8Ax3+S+O2qdosgLsOE/kZCky2wpjW1+9XnSj5Pko0KVE0hlTm82DlUVldVm1jjNEE3MeAfCSkdMBko+dEBSEqVt91OWFVIR8AvCFK1zxz1547pGk3qPV18XCgTEjyC6jw3zjHJMaSQosL9w4HxkRk1kCxw1hRtW1B4zir6q5SwCHvzswoQIp3BWFGxe9uV6dCORDbOceFWLapOgxodt7vSfIcAUYxcFd35CEn9vh1scO8nScaSE6kUG4MCcWtlxX7miDCnXdzAxYNlDTb5GBcgY/U4YxTvFPMBUPBpakGa4D6ehzfzzO5HjlCmHA+P2GeTyil4nL5rHxgUQ0uJeF8fotf//q/QAgR/8F//3+Mh3cPhED9zSf83/7JfwwAbNPXeE6QZWAIE5blEdN0wnJ6xO32Gd/n+F4wWuHCSGAK3yfDfpCCoNPMn3zW8vCzzEmI4wDLWUueTYW8NaUDKlYpQF9cOmmbkpLgHHE1ORi73FZ8/M1HGrhzpGSpklUICU0ZEs1o5DFzsI2FTi5QUggY/bc88FISk3AtAPJnipHFMHxAa2T4vW03hoFZHMemggbBE7FYYBCt0YQDQCpZrSJnUqW1zaE1UuqaIiXUwv/KOZO9CsMuU0ooosxqCbbbWlGZYzXvZtNwF0hp1hijsFhFjliwAm3QalfOBWlL2qk0ls2RZ+EHEcRFui8iPNRyhxjsNzEwbgrNPbZDOWm1VIVyyrWS1YAbElESvyCYhGXBJgfxxaJuZmVhAsPJIXGUrHFMJM+6+EsnKueDgl/+vBAipukEaz2cE8id+PsV5aHMM4loUAC4EV+Y+b29yioiGgTR/fDtb2DdH2F5mFGH6v7TT56+WMRC9CoRLp2fZsAqp8MLW1NO3fgZrYEhezyWzX0yWmrV7v/yuLAFChV7Jjai1k5WqSQutB09gVcOC+5gbz+egzt/ar7dE047/Ew2OGMc0n4QL3Ahm5vCQYCMFbHXkI1H1RK5Ki58awBasXbOaceMqsPCG2Sfr9ZUREDsnYCOVKBnSTBIM3RKlSdn+tgakyK9C4bGKhopzeZSUZLA5Jkbzm/x3iHnjOMQRUpKxvZ1R0qFxReAfdsYPlQxLRN8HIo4zAkF2JeX7/ddF9ZahMnBJFYZZJhvh9VWfV2tmbkuTu9DZS6/sRbzmST/rbU4tgP54AR/tKZhZWDncPf8WmvsVXv/M0lu+jPo91OE8Jx3yCmToFgg5cppOmFZHpHzgX1flZsVQoTl4oaBRS4Hr4PdtkJ4X8J1b+zV25E1STufpIJLQbooalOCQNSPeT5TcTVM2jWRa8opIx0Z1+ebJpsyluaHBfPDgnRQsnn9dEX6OSmYpz3RsxQhvcbcYAaNqFffUGBpjb/bdmi3PD+ACtwjsuPYEqY5wnqLfGQ8v3/GVz9/h+WRgi7nvRY7Q/RIAOwgckXjAz/Y43VXcxQNov3fo9bMhXYZ/1aDYUkaBNopgYUoIcv6JB2ezkETfGHfa/V71QYua6ImyKOO1OnQQjkXUb4tJaktiTGdlymvFXSHcw5jUt2T2X4dQI+BrSEBH0qUOcabCAVwu1302uT7qFM4I/gI58miyaSsc1+6qTEufL8zcknIJSnknYTcCnyIcNbD+aB+uIq6kGJYEaGesVjTiy/GknK/YxE5sbUbCwPOWaIpDGJCQvtwLOBTW2MxOqtdblqvoclh2g6UVJBTUr9M6jp2BX3nImKY4HxgJWHhmFLOIGNCBTQbMJcHfV45J3gXdLxQ/thQKkHtWwMaQ3rFNSPlgpzZa9da3J5vSCmjHBmlVKSddFLmhxnzeUK7CIpuhLqCu8hUnC/WorkCGzxsAPzWE04dUwPlQ5woBM1D/yvGe5hjBdO0YFmeEGPEvm3Y9usdz5iSzcDJ/I7z+QnWOvzn/+n/Ay8v73k9jxCbolJG/mtvkk3TST3jf/vbf/WvWzb+xuMPTjZLa53X4Sxqpc0hHZl4Rzxx5xBItr4SJEqqH8LdlASztaaqs3IInJZ4nN2fsGf55MU4h6CfGziB/Py7z0TWnScKYPZEFbPa7t4vWXxOO31PIVhtCBHeWRiu7tGgpUCHZIULpJJCnQua6M551BKx55vipXtQL93SgNYKjn3jBXvCPHuUcvCCwxAMT1BaSkR71YMGBiWgQMP1+ozWMo5jh3TorA26UBgjnk0k2pCPBOPOqLmo16MEuTXT/QnRYz5RpZcUEwlKlI7Ug1zv4TwFkSZwCGeo+iUm3oWhfJWhFFn8PJ3lxdDdPVPpuFlrUbhwEOJQ3TQWORNEOIRzv76Sse837NsVBxPuReXt2Fes6ws6H0Qqe2wm7bmKZh2qc7yYA/u+4np9RggTnh6/wsPDO1hrse8rG1D3zoZzAQ8PM42nfVOuiW7YoGDWGgex1vn0/j2s/RrLI6mGpS3hWA88ff0EEcoouZGC4nagtYEX2X5/ZV3gl20Y62NW2qFP9LqDx8R+2/Hw7hHzecZuaM5471ECVS7Xy0r2FbkHwWXojv1YD9r4KIByQyBFQhWui1YMwVhmTm6YAgonEt/VfZdEUhJRY+4tF8bEVDrgAusUSXl9LaupZlaK1jnH6ywhRTTW0+q7HLVUnZ9f3ANLxTvnPSdbBuuF5qEmyWgoiYpRORfs68HBiUFNIgDEQWMpcMFhwkwwRz/wm3JmtVeSwbcOOHjfCd6xtD8ljY27+K55oGUYJ/OCUBYmF6SDEB/HetB6ViwcrFbj5/OMOFFQWEoFDkKHwJN3cSuVumkCQ6sCt+QOz5DkvFZrHhVVyYu3KUxOlGqn04S6Ukc6hIh9vzEsiwpl59MTGrqnW0obQpiR0saCQgKFm2hP4eBbipAjgkeKqfRzQuRYu2GaFohPsRQslvMJzjucnk7Y150KYmytQIkeIWh+/Re/Qj4SfvpnP8PysOj+sTwsuH0mKG5OGS8fL3h4+4CXDy90Prgfg7oHDFC5cR4I3F+QRq01ZAiVgRRk5Xj+9jMe3j3i9HjC7fMVORc8f/uMOEfEeULJGdNpwnbdUJ2Dcw3NkWiQJLf193hA/tf9EIQGrQ3ubg3Qg/c8USoWaGtrwvWrd89B7n0DuHvWEzN5DSns9+7o2MEU2O4drJD3ffWpNPd2ecKVU3/CWtFMQ07H8L31O9ezu+RXz+/e+7W2MnQ0nQo2xplEGK8vzxSrtYYsPph8nTHOWiAfjxgjWqOC0HGsPB8LNUPSQdzrVlFygiqyeUJsFC5kW2tVZEsK4kIzADqFwHCnUoprANB2UZqmeya2cNZ3uCx9dkHzTuG+JOhGImdSJJLnD4A6t3tSlIkk/AQj9jzuhDbCPHnLei4VtG63phot1FXVocKJVYOPDrER0i4fGYUbVaTu3rvi4oIQeB/MpaGkhJKSWl0dewIaEIKDNTOO/cB2WTGfJiyPJxybR9r2u+c3opdKLmgg2laYI04PC64vVcfwHYcTEpfd0xPHsUlxhoOfFswzNZ5utwuOY72Lj4kGJzGIR2abHoLbPmoCK4WbESEn1yDozhAnfPXVz9FaY9vHP/z4XtYnzlo4a5WvVXizNTCasc8hEDZ7J182Zy1JpEtrXjomnFCqPDYHQGPyCeCLjWfhiS1dUGsMvv38jOvnK4w1yCkrN6SBTMND9EhHxnbbkLmjaF1EzSQiRMlHAMCka4agdYhUX4islWZD40lTyVTXeyZvR35foYpNnBHjxO1/i4eHN5imE3JO2LYbtu0CYNaFa54fIAOQOKK98kFVrjRUEEkZV/D9VO2lQNjA4DhW3F5W9XB8DUmycVC65E6LtQa5SfAkyqSkmBbmoFA9y2pkhhPVIia3EnAVKkRYS+8DaAPJDGGAdl64glYq0s4iO1OEs93gd5T3NobsTLbtgoMnA6nBzczjbCrUZECCA1IR0+fD9wgADlb6BaCd0VozjrQjpB0PD+8Iv24dYefZ/oY2OYcQZngfuYhByf/IpdWuSyPe1IfffYufxj/CfJ65y0t2GALBUYiYc5SkCy/yFYfubo7Y7v8nnf7xda9fL7DoUipePrzg8avHLoveiJu7XVbqavOGotCOkUc1PO8f2yFwbu9IGdqqP103Aad14H79cs511bzak0l9Vs5q118Cb+UrOaPBtdhsGEMQrFGApVXcBeG1Vtj2XR3w1ruaIiYxdKpps0d/5haQwqsxUN9OxwqHtVT42Mc7DG36KWXknUSDVD23HJwgC2yRIKfu8UTevLedunHc9QJI1CXOoQsQwSAsE+IccHo4wwWLfd1p/S8Vec9wgTqPySWqsjP0X5JiFTrzDvN5hnNkqXGAOg7WOZhoVcWxNaiUf+Fk2YW+jkp38u4e8meJp25rXYG7oSdTxhqgkKJtOoTH2QVByMx+eKbWwVmviIzn5/ckvFEyYIyuS3JuIlIihxRV5XNLTkpvkeD7fHqDZVn0/sjasTwszIcc1HcZblprw8uHF4QpIr1LKihHQZ1H3UhR8fLxgqefPCHMAWlLulZKx0PG9980B2V/lnsiY9Naq6nmfiPuVNoPnJ9IlIj204qXjxd88yeibEzn2dE6Hp4FoOjfP1CfTV1nXkGXBRnTGmormPxE49c3pv501I9YmFk7+mHWOzoBQEE5dQQpEWjoSaYFFeiED0rPaPQJd4xO6p3NkfMJQN9njEHJfUyJsuwIUez7o/D88l1RY7wP0tGMsYs3AiR25r3H86eP2mgog2ZEiBOcI/Ea0ZKghJLiEeMsjtuK/Vi1MEkoK4oPMsMkYazGebWSN26/p00LTPt+w75TkYrWDq/FSqFSmEjFoZwLITui1fiwq9fStftABU3o+iSxAHjfYtRIrZoD0HuoUSHPSfjikmD159k71dLAap7iWFkDrbckitZYwd0beJDnuwHvi0KZix41k99la40QfFkaAf3c6b5RDNRu1PSJU8AhneqZbP22247ttiOyrZZ3Dvu2vyrYyTrEza1ClMNpmTAt8+CzOjQDeGT1fvOX8ZoUNgRFt+8rRrsdff5oqEMBpgE8PxMCdzPbcL5ojQsyg3pvoWJkiBOenr7G8/O3+p4/9PjDOZtCYOaEsxiq7oqvlfEMi2UhoCmwCmOtBKctFd5RV1NgmZUtS5y1zMXkTdQYHRTis0mdqwDvOlbcO4f1OPDpN5+IC7cdyh8siYzLnVTZTX9IsoBKR0L+BBxqJal54qSQkAORuS0vlCL8kWHtjGV5g5Q2Tl5InEKkmI012rqe5wVi2E0wO6o2LcsjV7QosHh8+Amc9ySGw9ef0s7ndF8BkeqbcwG9BU9QFQkyUtqw33bcPl+JTB69Brfi5VhrxTSTcW8t9/L9hNmnYHCaIwUOnrrJhiEY5LfJAzPQuW2XlYI1S56Rrb5SwHy16FtHWbyIB03zGTEuyHlnT6pe0QR4U+GJOs9nXWhF9TfGRY1uRalOqqkwdM80OR3I6vJa2RBL7oa3rVUlY8thLRUZ5ukMa73Cd2spDFkgq5v92BRq9Ol3H/Hz8x9BBHuOjeBkBNVLaJW6u8TbBJpYMQwectL5ViiQdF3a/f0FoBuoLGKVeaMlF+zHDmOA89sHri6z1Y1421oD1A4LHjdr+ewf4yEJpuMuueVCSC+KEOyrod6N+zAHMhgHUE2vdEqhR6vDpgvw0O8N+4/R5ro8LJxUFbTMBSFJGL3lIniHxI4dtvHZjcWDMcgfkQciJHX3fkOK0mgN3lscW2LRL6tqqwAF+Pt6EORySI5hDMIU2UqF+DM+dOSErAWe61LxNOPx3SOevnmDv/4v/hrOe6ZIEETSegM/BXz864/wc0DZEpwnuHNjqF2tDeCEnL6H7tfp6YRpiVqQJKGeBT4G9Rgm2PIAg5L9MNx3bMTDUQo0472unHAKJE3/3gYBL2tZsIt+39/bgwUxspdgPoSZxX5meOdxdZ6r371IqhBDdy8SJ/tGa1b976SYSfvOga+++gVOb878Hrp2w8+/tc7XMqYnirKulZRJBdNaLI8Lzm9OSptIe8KHX39Q/q0IH0nQOx6j0AoVuuhc6FYwsorH0lgcU/suS2N0Os04PS14/pBhUbFdVlIFZxV2UuAuXAQhSDU1lSys/WEW1kbIbP+Z0flKHRGCsOecYJtV6OnIreuiNr2rPMJTASj0tO9F9x1FawF61EaL61JkFkEW+TwZu5ooa9H9iwscY3r+HgcV4Gn1i/O8K8pxQ4TW+l6U9Z5QEJ8/fNRkTxwMjDGY4gIYox1LQbtIwnq9fGI4f+Hu54KUDl4PpHtHaqHeB1KV5uSc1rPSIcbWwrlJIblyjqUk+DLBLgR1TQeprUoR2wzJpRRcJDYUm7pSCnzrvs0UrwHeS+Gw6RrpHcXbx5Yw3vRRbEqsnOQZ1FoUEiz865zFno72RR+EPsH6L5li3doaXDOAtbTeJxKay6XAe4c4RZRAtCQDg1IIgQHT6SM5kSKotYbh0MQlDRN1nfd1x3bb4HNACI4LbQXpSBA1Y7rfFU3Wo1xwcBeUPOsDau62OdJvkUaS3Kte1LeYTwtKCoq4k3s/FkToE8wdsg7GopSEUijZJHeNjrjsVkLUGOlFDnJdePP1E1prOJ3f4Pscf3CyKV1H70j5FQBjtL3CigRD39CUlwkA68Gbk/DfGkG+xAJFEtT1OOh3jT04633AfJ4m5FoZOtuQSsanTy8K4SksZpNZgc7yylVKI/GVQJO31Psun7UiyU3fJd3CnEl573w+8fV2VUBjDGKYMU0nXC4f7lrODY07nTO8d/z5Bt47pLQpZ5S6dpEEgzLxclLeEWJgq42kiaQsWHQN7NuYtrvqHG0ARZMkAEjHjuvzDRPbnIQpYDoR1wu8aFjvMZ1nDmAEV9/0eQKUtFNS2U3OtUuBvgEA7OkoXW9L8FsqGmRdxOT14s1XcyGD7SOjloZleUAIEz+HBCAr3EeCMzm3bbsqtEcXTdeHOm0EmTuSIhiwo/K/vQ9AE1W9QtwK9lGsjYKuWjM8e88Jf0UWhlopEYxhgveBBAJAkAyRWfeuj7dtu+LlwzN++nd+ShVGruAtDwsunwqMafAxwLpd75UkmncHB19Dfvmdx7iZA0DaD120jDHYrmR+HucJOWVszOeUAI6EBO4hHj/2QwRTBEqrPE1VqRXeI3lt1prV17RLzndokEBjAQrUSTGT+TNs/0Ad8ImD/KZ0ARGHoNdwEFcaYNsXSWbnX1uYwbh4XA91zX3F05Qg3jpR4DVsbyKdT9cRD9Wq6qwkSLV1Kgbkc4JDXCY4J0gZtiIRPqAllcRpjvj6T7/By7cveP7wjO2F10/v8PDuESEGXD++wDqL4D22usEET1oAMPChn6cGTZZEPWqpuHy6DmtHv+9qtVXoPPwUucvVdG6O9w/M4cQrO5vKiY/Az4TjWAdYmnQ8856oIJi7L6YUxaQbZGAo6Ryhaz4gNVo7Y5w1qJJKtoqQhK43QGsAwRmPY++drCIBLUH4jvXgoIlrtzw2zm/OODYSfYrzhOWJjOA9q12XQjHCftuxYMG0TOpZaYzB7flKe8oddJznGBcedWEbCq3GWrRyr9porEErLIImBvK8V7Ra0UCB43SaES4bBYuZxLvmB5L5DzGoRQRPYJ2XP+RDVE7vClHDvS2FOtTH5rQwC/QOu+ylY+AronsjOuxe+fpLCCGJ8kWOQ5Kup7Lv9y5Y7WsZd0P1WrgDagc/bGMsx6UelX3Ox/MYu7hjTNWpY14TIjnfOEe8fHrBvq/0+XxOMmeFv9qL6nSeOWds22fkfFCBiFVWx31avd0ZPQN+PzTZrnfPR/dmY2AN25pxoi4xHdGmmMvMvMaW2ZbJGtTcn5EkmoI8EVSHPFcL8q2sXFQ0jhCPxoLnniiwEgLKWVLdFiVhLXrpaVNBUxI14yzmZdb9hmgnlGzmg+DDhHhjtwIWz6SCA1AHOglqY72SCO8tFXpL4W61RbXScGhIqeD8uOA4Mgoq4kzPXBoB4nUe5wAXZk46sz5rMB0DImLnyKZpmifEJbIKr0CQR4ofU0ZYlDLOE+Ic8enywoJTAuu+RyaNf69lVH1mvRBPzZJ0bFqc7cVNjxgmxGlR25PT0wmnN2fkXLAsD/g+xx+cbALE2wQAby2KHQQtjIH3HsFa7NyydtL2Z/VYb18tLKBEUxLXxK1n2qe7ghVAg3uKZAK+Z0oonLW43naslxU5dzhP5eDdOoLvXp+JI+K854koleCrJo3Chcw5M+Y9IoYIHybGShv2saxKcBbugoT6JEPc+Yfez4gxcIfLIKcNIS5wLtx1Ko9jxbatOohu10/Y9xXTRJufJKd0Hwjq29XCon732BEGJPCjZKnkxHh2Ov/1QkmqeCfpAG5kcGsMWSfknLmKTXCMMAeFzo2S2tYa7b7VTBu9BLRo3HXzlkVCCozJGuRWR78r1iJMtCguaYaPP0VrDS8vH/T6KWComKYFKVlcr5+1kykVMuFFSOB4zxOpCsu93Z7VS6jWCucDkKHqjQAXIoxTTsO6XhC5ywlAubykXsbGzC5iWR5wuzGhnCuRbloUYm2MxfX5ivWy4eHdI2qpONaDlBsjdb66PL+oZBL0TAowtTRYf8+vk+6mEbSBGbi5QwfldRGntYbtumN5PMEY4JIL2UiY3vmS5zw2p3+8XU2j3e/XEFo/VL9HOIwczlvlT4q4wusNpCvvEWeIElsKyMMc4JzF7fMN68tNBXSk8ykwGVErln8ba3W9MxZ3HU358/XzHAMA6mCxMJwxCBOrInKyI6I5cs55T8Trk2KVtaiJOvUw1DkPMWA5E+JDkmRJpKiqTJzRaYn46Z//DK0U/Mv/11/i4+++BYzBA1uh/OQXP8Hl4wUpJTiGg/vQE1Y6Z9xZusQ5wjqL/bbj+vmqUHbp6EgBSFADLnRvNmcEbnjvKyjPqdWGnXnk8hniI3l3NOZpMo/02A5s1w37ujH/n72Tt4sGujHOd9V0oKvTAtQ5EouS88Nbttu6Ee/TB0ocD0LinE5PIIP7TfluFOA7EusIE07LI2CMFjbiHOEiBTRhCghzUFVtsTc51gNx4fNdIt1ra7FdVk4gvcK+Wm0k8vOq6GF9t7IR2DMA3VMAep7SHZYEHiCO79gBaKaR5oQx2G87pjlieVxQP9HY3NcdtRTEKdzB060zQKa58pp7+0M6xi4mAB0LkgAZY0jFOAYumN8b1QMUb6jy6vi5fMi6JocijYxDwf14Jv9q4i6KOiklcx1xdZe0MppLvrN3zTqEXT63ARi59PJzYz2rmPYu53AhdO6taddQ4rNtvUAsUkrtlB/V7mhdrT6EiJQOrOsL3Q9G+Y2ILSl4SzIpiX3JlHh3mlbT70Hr3vFSWIG5X8trrkqbovs37utc5My9yUBrwevn0j2YBbpaCzkyGAP4OaBxEiX2eM5ZuOjRckFh1V3vAkh1GHA+wFQLERei7qrDtBBMuKREcbs1LKJJa7fPnpXTh/tWxLLufp1tXPxzjmIjbwwqz+lSKnucdpTJzQCnJyqi5VoQ58guAlTAyjkjX0isM0we8ymiZNavMd2KrKZCQNlWsa0rYptpPQxAYd0A2VNkj5WxFWLAvu5Y14vCxn9voolXewEXSUZHBWMdHAATybbK+6j+yob5x+v6jPASEWLAdu15xx96fK9kU+BB3jkcpSjZFtbiNE9IteJl2xCcQwge3lpcd0qqcq0sSgGU2hC5QyZiQsF5ggi0pgpU8p0+OJxiRCqF+KJ840noJGN9XnH9dEVJtBiFKfCmfWBd6UESj9HeVbUMQOaztbf1vQ8IYdaHSxCGCB8CrCO+oLMLrHOsgkpiPpE9x3JixVgJdJxT9UDPnbpleYQorNJRkRIRxKXLuvF5ej9B+IF8R3Sg0cKfkBJ1SMXkXUjoAuHVxK6S8qvAZAWHLpDNiQOEmgvWlxtyoqSDEh9WA7M9gFJBImdhW0NzVi1TBPogHQLpgFKw2yW4jYUGD2pw76zap0gQbyjqhncR3k+qBvf8/C227cqLQFKI69i5G5MtqfQlDgb3/QbHwi7Ex0xU8YkzVR1DVD6t4zG67VdVbjwYamYZ8pF5sR2lpUdhIdkUQpjw+Xef8ebrJzy8eyABmeyxPC7IPI7J06qipgIRxLirNuZK/LF2H8jSM7mHx0jXi6rHxK+QSqx+z6vNJkwBaYfOq1487fe1uR9uEPb7Drl24mYShJYUjEeRrlFSvgc3tAmT4FUdPktVYZma0IPrvsHEOTAKoOL63DeCMahywSsME+2+8/PFdVhDnMyhqGAY2tOTzHb37OVw3jONQrqbrJxsSOl6X3dKpkGcxsZc5JwqSs4UMMyBFG8P4dFTVZp4kOSRXI6Ctz99g/PjCf/qP/1X2K4bLBd/QvT4xd/7Y7hAVk3GURGy1go/U3EyHxnGWzpHfjbTacK0TFhfbqrSK0rZEyehtVau2gMAdzgtVd2rFNysgeGgWO5xGSrW8n9JLNbGiWUpY6B7X/iRLk5Kh4rZXS+fVPTEWs8WTDN7rbG4h5G5TYbcALQLtCwPxDevVREgznncbs+6NpK4EAeKHnCOZPbpc+j1OSfUW8VDfMB8nnF6pIB73w4qMm4H8fS5S1lYP+H0dIbzDunIOC9U4S+lcCel3wdVm9Q5wboJ6IHu6+B3vIcUPI52Xp1uMM6pnWkLZLFFQeTtecXyeGIot1P1baEQEI3hh11cU9SB+TJ5q7UgTKErMVurfEqAxlqtQDEdPdSh25zAw97B/Vpr2oyQn92pz1qy+6DXdnjouK8BGNTRzatzpk5TxZfcszGhlOs2IAiiqNjLvbDW6b9pL/UIU8T15ULn30gM0vuoiDT9DktcVHDhXK6PGjGSQNe7TihxRKGCkwI9thasGwFkTajp9YUVWZ3zKJDOstPkk9BdUOXZ3+cZK/B26ejJIZxcSuqoeJbZyo5oBwHOkcprjF559sbSmpwtrZ8wdF9EB4S+k/4MwTF8lugXrdJ6apzFsScc26qoQ2c9XPWwUyQ+J8eUo2WiZXRl05i10x8so1py5k7pUTj2c8hHwX6l9WDfyElhOk2KTqEiY2Gngazey/MD82j5ddVQLE3+7Lvy3cnejvKJzDkMzRPDlDCL28tVx1urBdYHva6xwNnHM0OUS9aiTmMXBvHmHF+b0o5jX5GLjD+KX5b5EbeXm8aw3+f4XsmmMV3FMDrHirEUqJBCLFWwg3OYQ8CWEj5er2i1IXiHJUbU1uA5gcjczbzz6+GkVL4PACaG+6RSEJlvuKeE28sN23VjXtCOdCSC9erGk9GaowSRjWMFXhkCCQ3ZcqAW2djI4xPAUFETLz1KVi1X9CkhKSjFcQUuwLqIEhlzT5+iFimlHNr5Ii7npK/bd4La0edaBPZ9FHuUEGbqMjZSnR03AKqoVYxLh8BLxPA3xthtR1YWjGB+WNoSW21kDuQMd4mpKu2cw7RMpDjYoDY2cq4apAYDgAa6wK1aIzPf+2DKwEbffTwrkHLi5KdpwrtKR9oF3K7PyIUECSSZFMsTsaQhbm3UZJK+TxazAmvvAzzvqOssRrgjVGeaTqraJf5crTXleLbWcLu9cNA36cTvfAtSvD2f32h1qJaMWjIci32UQgH5+19/wONXT/CRkoQ4R8QlYr/txJ84MkTpknjOXQzBOlHf69eFuyTnXuzA8PspcR9g5M7BR4/tRvxN4gU67rLKuKTKW+c9D52GH9khAUdXo/U6fkZxIAD67Foz3H3+8n6J1DvsPVdNOnHC5yR4qcP10xXHdqjgljznED3SNlTJh6+6T2hHbtwrP01AE0056tgJt3ROxolYg+v8Rebmr9cVJRU47xEieSsbb+CqhzEZAKnyCrSqtgakbvQOR1wbAHh694Cnn7zB+199wLe//B2MMXh8eoPWGr7+468BALfnGxVXrIWLDseWEDxzwzzxiCQADtGr0I1Uou94q4HRHrbfDEULcMV6VH1+nfxIx1rvHcPRmiQtbeT4jHPT9CR7G4o5jf1Sc+b9bMe+3xCZp/nw8E6Lqd1zjaCxAK07jcj/eHh8hzjNuN1e1PbJ+QCy3sp3EEWAKBjTfKZ9Q6xROFlcHmbtxhaGrNHYIFSMKJrnRLZKMq5zyjg9kkgP+L60WtGqBfzgCeiGTpslD2JY2i/NMGZrpcLZne8p3dy75zJ2Bip3SKbzjJyuQG24vdzw5ngDF6iLTfoFVUXwXj/rH9IhYw2DT/DrLooUXCXQp8JpYVRYL6i1ZrXzLlDJe02J/hm1dvEqgLp3tdFYIIqC12ctcNRRO4CKWyN14R76S3/Wuz/7NTHMk7IfuREwDXcLJwXiUV9jjcc0TRCdh8a0LxHyEnu2nOl6Q4g4joKXy8cB+ulZVXfXPUSU68lrNNzt85IMt9ZUURoACn+OcFqtc3qeWmA2Tos2pVREbgCIECEhARNDXAdv0NhV1u8+j+d4JaUgEnPkIozEdC4EWOXe0v+iaK9jyxKtrIpSeC4orM8ia400GuRnUkgqOSMjwddAfy+JxR+DvkYaPjJvfYwklDSclGlUxA9zBHCgZBFjBGkQhIQ4BezrAWsdlvOM9bqxCJx4YNLcEJiyDx5xmaholRwhBZ2FyTQ/SiK0oGctlDhP8J7EIMNcEKaIl88fAXRlYAyNk3/dQYnkAfGrba0ihEl1T7btinW9IKUNiVVr5bk4R3zOYzsQ50iolu9x/OHWJwN+LjqHPbH/Ig+06B1KJa7mw0xKWr/5/BnpoAe2xEikW4Z6bYl8OYNz8IP0MmXt/EWWKuWT92qdIrzP9TgISnZZVbUKAI71wPpyo0okE9WlC0HJh8BeHYyZFJZQa+YN16DWhFIMnA26+AIADHShBYDgJxA/4MYVYUpWaXEuiK7gOA7u0lHSG+OClvn9YUYIhDO/3RhCwBPM2QA3Bw6SGptuO8WoV4YaOz/BG64scoIU48SLGd2znLN2NKWSHSfyQ5JrSUfWSpVwVkL0mJYJYY5a6ZJEVg5jCBqYE1Xs5dlZ17HrACmUjb5nIpdfGpmcH+IDaLrBcc4Hnp/fY9spYSvFaiVPq5FGoCqd8E/3lhZ1kYyW7idxJg6eaE6rjMYEhbpI0nocK0KYaaPjLiBZAlClctteiMvCHWuCvWWe8CQgcFoe9fxJUa1xkkCV88vHC9bLitObE0E1dvae21KvCDNncpSsHheecaN9rSYqm7LOY+aNtUJBrPMEOQwx4Fh3gjfOQaGeAFVDRcIcgAbOP9aDAihJLIWvKQGPPAsO4th4XuJUy3BYgTnTxl9ZXAddHZXhqiM0OrJtyuXjReGHJTHUzEkluUMNqfhg+t9rP39rLar5rop/D7zAHU0RXpFfBTlHY+CsQ0pZA47b840Ee/gaCo81NIL7TKcFoVUcN7LOAAtQAcSLarUyl7HBTx5PP3mDl48X/Povf4XjYAuUyePdz97hF/+NP8bl/QsuH4iraQMFn9aQ5QlqL44ZQ0iL+WFR1WeBigcE7ZTSM+uKuiLihVzgo5iU33PGx4SdCrL9fsrr6dkYLuawCFDjv3MByHoHX8ney+9BOWsSxDaq3AHGIGWC48n3ixE6KZ0fWnBrw34nwmnGOOzblTpFhcZg8BFHEr9hohLkkjA1oYVEPP3kDc5PJ+y3Hb/6i18rMgbGKCRchKvAXd7C+gnLwwJzkHiH2MvcXm7g1vpwf76EdbfW7iDQ8nvSYijIqdytjYpk4aTndcDcGtFFlocF68uKfDRcP1/V9zhED5GAc86hgPYz/MA9heWe3z0DWAA9qXTeDglN16+g198/H9qPKV4ZPQoFEj4+l+PYekLJiQbxkuudYq14gJKfuR++635OSjGe1J/vC82jJc79+f7+YoKozEuzQpJtSXRjnHSu11oJaWYMjmPH7fasSahwXEXp0/ul8+ichUO/ppQOoFWOEyNGUSAAA12o8jpB69e2FXovKPELQYr/92gV6no2MF2Q6VgUC+/rhjBFYKf3hCkotUeoBCF6GEe6A2knahQVRGU8kKtBzgyzdQ7ViogliQhJp9Ky6GRKG0RArRlBa5Bop0GHYdN46kWRwpzzlDbM8xlhirpeiBBQK0XFMVtrqHw/BCLvWJBJ9u7tssLHR1Kp3Q6Nh9d842cJHbOtFX02ORFK0EdSG26lwpoF27rq+Dz2xPs9CRnN5wmkJ2W+WLPkz9dFM0km9e8Y0DQlI8YFMS7cWSV/ZtGLkTjV4L55BNAziHP82+ts3nUfW+2emIU2gsmTv+YSJ+RS8HldsWfy7XuaCW5jjEWuBRtLIjsrBr8kCCSfLXO+1YbAleaUUlfCrRXXy4rr81W5aq02bC8rXj68YNtuMKwEaQx157zr8CiZpPM868MtucCYjXmXEpX1wFJun1gKyENdbwkpbQqJJdith7URKSWUQmIrrRVcLp8gClvbtgIgmCwlPCRU5PxE1zoH5X+VkjDPZ8Vul8KwrHJwBzYCKAo/co7UUafphGmm1j7BwlgZkyvOPlb4aHQBSWuiideacmvCFHmhcToJ5TC2P/ejJg2g5HDOqYCFdAOsJcK0cxbV9Iqx807hS7U0HHvC8/N7XC4fse83GGMxxYWrNJTkk0Fy9w0SwSSt9FnpQjvM81mhYCO/UwKrEKImmgCGBZ0hMTCo7PFFE7uySf1nLMsDE6zPOI6VjXwZvm0dzue3DLkuXLl0qvx4bAc+/e4T3nzzBmYyACx8NIhLJL4vd1Qse7w2NySPQ1Ag3S/yOw0wFlq9pPE3LFrsOZVTIa8/DqL2lfhWtRA53QePED327dBnVyvx6Eih7nsBJf5rfTiGLIkqozVOIV8yT4wjDl+tFWLR5xyN81oqTHsF8dPE06lgkCQhAr35/O1ntsvpqt6lFLhqdS2WhASSnLw6tDDBlWWB0vIv6c9hvBg7Vle79YebAidAVJDYbzuJgHGClo/EqAsuAE3ENz1uB0HFa2PvXoLtuWBxrBnrZYWPAW9Pb+C8xfpy1f3COoMQPP7s3/0znJ5OcNbh42+pEiy/94yscEESZUJ1nd+cea0X6LiH4YRbAlzh1I6bPq3194H4KBRnh4RW72MilVZR4paiEUHDMhdquejAFkIyDpQvzcEU8fGdVqupqMmQ/LTD+cBWWlcWVpshdgvCJ6PPakjHhlwy4jQPPs2AMYSCoY49wcJDmKkg5QLe/fQrxCXi8umK5w+f2fvT4/z4hIc3ZxW9Msbg9IYS0poLci5qB6NrGfuZutWBKGevO+tDt4kPsQuSe5RUCDC/SnikOPclugOAFsz2dUeYA+JMKJK8J7WBcqwjYZ1VMajvQgD8UI5xrFmBzw5YKRmDlWH6QLf+6KJmpX8Gw8BVuX94PhSfeGRGAeWcVMFdVGwb24yIUutYRJbz6c0D3O9N5hVagwPq153Nu6ONrLe7GwOrxUN3/9mlQoThRMBH9nxKlC32/aaFZhI9qjzfiLZjDCGgtOCf9rv7LQmNPI8QIqxxSFnurb9DckmhUiolsn+0Rmu2Y5QM2r2WhbFUyJSGQSmJ0YCeOoReNAOc2jMZJ2jAXsAWtfTXBW7nDBo8c/Z7okQdwQxrJ43rdR5bKSoMPpUtofvbOxAK0X9n4fvYNpTEiCNvdR+ynj+7NaRKfuMCtzVGbPesFkmvn69UgKokNCpe2d1K8PU+QfeWEmlqeFlvsTzMhBrcZb2iLbbmisrjuBwJPnicz4TccU50cUbroPt7Kz/r383d2jBjWR5Qa8Ht9tLjVoGiwwIsEOhUSIvOY9uuhNqbZnyf4w+ODslfky8WpPjnrFVRH8tQn1orUq3Ku3w6LQjeI5eCLSXsmaCV/tUAMTDYc8awRqABmILHljo0zDuLj9cbLh9flHMhHo2Xz1dcry+q8iXcu14RsPDe8mY9VoYoeeiTc6weVDjvVd691Yp137Dvt0HwhRYawCoEUwLOGCeGejrmWB5aXSulIh0XhEgJZmsEy5jnEwS6G6YAm6TCc2Pvze7vNFbOaSIyXzNEnB4f8PjVI01YNnY3xqDZHlzGhZLwtCVV8YsLJZieIUUKn1DBDYvA8tnGGJaiHjzOBqsO6yx7biaVzNdnzvfeegcLgrjtt00DMbp/s8KFp+mEwJ6lYiJNCeRNbU5ks9MiAifmUtmvtRIv11OnXaDSIUy6qamQilRHW2NTZYPaqLvZK26i+EafOzPsTPgswkk5n9/ws68MuaAAsBSCL18/X/HmmzckepEy5vOM7Uo2DFR9NKAKMwWjr4MxGgMMx1NuUbu7zwA0WRw7MQC0qynec29/+paViydCDvh2l7zef++P6yBf10m9YKmz6JkzbXqiyZuvzrlXojwjNAmgtcVyMCcBgTc0z6hSS51wAIOAEHWVWpON6Pf7scr7GqvdSvFKKqKOAxGCikIRBgAUPgUuvnnfxUMMz3eBYcMYHOvWN1VjcGLxqe41Sa+j8UoB03bZcWy7VqLB0OKf/fnP8fDVE97/8lt8fv8MHxyso3k6nSIFfDHAT54DOFLbNp6snIwxmM8z4h5pTg3nLhxX4TS70OFXdOFG160RxjfeX+0IyfOt3MHhZ5lTBjJ3QCPPQ5lLEij4BgtSoq2lacdceMAZVakgjT0DhUMuzzGGCftOfmxi4bQsD5inM0olCFVDgx+UuiVICYG8ph1bQ8U4Y5oWnM9vsDzQWvTxtx9wHJt2FUrJ2G4rfPB4eBfuEvTT44kgY8z1Kkl4eOyFvXYBJb0HlcR87pJ2cOfWdcQAcbqoUKdjdHiPfOfrQ76jFkqw1+ebInasd7h+uiDtiZAeU0TJm1qeyH7+Qz3Gez4m+w2DTUkeY6S+n9ALG7rQdP1CKVk+V/bb2gpy3l8lmvJ+EttxJnzxu25L1tXjRyGj8Rqk2FxyUt7vGAvec1S/u7NJsYRY5HkdB6015meOyrtR0VLbdsG2XWFZ1Ee6wMRZTxp7jOcq8YFnlfMQJo1RK6/R03LGhLMWFBtDQY0hPvl0muD9RJQvKYR6cSqg+UeuAgSlFTRBaw2ukd4J3dMRkdF9gAn23mACJZ75KCg5a0eTpQJgbdM9qZSGyjBdYwzFsKx2TWOooFTmwYObObVSA6q9ssdpDT4E5NSQywFjMu9HQaGsPHB5bDXM8wnlyHDR49gTQmSq0EBZkeKr4WKqBaG50pGwvtxwfnPGdqUC2rRE4t1nDPx7wwkkw4KrJTQaKvJeWE8hKOoopaIxufWWVNvTiuvzBa1WTPOM5emEnDPW9YJaO1Lx9TEmueI57x25Iuz7jfVNnO4nrTXumo9zsxducjoYyjx95/f9mx7fuxVRuV0rIj0CjUxZDG2rViie5gVLjNhzxu04cGRKwuS9xjCB9zsmeWtA8A7OWByVYFmnSL4319uKyyeCRRprkY8d62XD7fIyJB1DMtvY1Nc6eLYO2bcVKXVox1i9AwgiKz9bbxektCOlhBhJ3OB2e0GMZJxLG55Fx4xXlHIgpcTcUKsnIpUFgEQ1qiqkBpDHIW30znoADce640g3EoxIpO4YQlcmJD8d6dLNCCGzkavlCssBHxyWh3ngIzF30trOTUEPLgUmGZeJqrss1iFwPYE+W0M82qx4fAM4C88dtq4OxoGW6YFbKZV5PSLgRIHhKLkt/LeUdgRWVbxcPxFMIlDSKd3EUVq9NfJUgu02LcKxcNYxFp6qnQ8P70gaOu3I6SDOCG9IpCbLGy0vfCJHfjcnWHDo+flbzPOjquWKafFxELQjxhn7fiMeVXPMWyF48/O3n/Hmmze6QFsA02kiSHNlCwtDiSZ1Q3rCUmvVAJKUTO9l1OX65dm2RvAzY3vlVnyYBEa9XTecHhe0ZcLtZe28rCHo/iEHX3/TYUBBkx066LKYj4mmQM60Q2mN/mmtQR2STvoTyhmppcHHrow5LRNTBpKuuxKYA5TQCJTWc4GolnI3FrSDagFUnnM8DgAK4q3ta3obYFcAxZ/G8nrAaBLDisj7bVerje228XnS+cwPUT8PoDEaIgUjzpGheMkZBycgpETqEWJE3mltOT+esPw7f4qfXFd8/u0nXD5fca4NYQ746ufvsF4I/ZBSxjQH+CmSmE8ppMQXPPGP+STER9Y5B79wF0V4NyzeYAw9B0ETjBDCbgnQ14u7MWJ4pAicWvm3RjtmORXlRLfWKCHjYtG0dNTNtl3Z5L1wR6CQAJ+TLpMkch62kWp2yYkCdkZvEEVgJiGRMKmS9kiLoP3UIcYZy/KI0+kRy+OC7bLicvms4kJTXPQ6a82cwDucnk56HwhyR1L/lYshJRdUa2AKJZ85ZR1/hiK1fq/G5F3jBRqjO6vQCzdWXqcJUCl3tjQEy2uvXkOWJ49fBVhv0Q7yBV0vK958/YaLrEaLpb8vGfkhHB3638e3/g4WjdViRUxOkiMZd40TH9ozad4bS/tbp6lQNzLOk/qsCnT2XkyN9lbSUqhsz/NabE0S3XvBIBnL8lqJgSgLwLCODbHhuAY3gSJWiKJnX7tdLwo2QgZZ31CuXQwoTCS0uG0XHPt658NM58vovZKBSsIxOSeN5wSxIOfvfcA0neh16eBCu1WlajkkQc25IDAMX6595C3SnLK6jhtGWcm8qkyrCVPUmMxHr7YjEjv4KcCAeJgl5ztFdYVzMjw/pYI6eGNWgTU3ANYoLJm47VW7tsex9bW2Jji2NZFkNZfjjsYwWuyUnFGQ4TwlXs47SnRT5ppIp3iovzsqo4UaW5QRusx6q57kYfJIe9bf7bcdtrlXEG/o2LSt05sISpxxHBkhOLJBmRo5NBwJx34g+KJaJCkfcMEjhADn3jJMWFTKs95H9Z7l5ss8nWGdx8vLB9xuz7quLqdHRtV50g5xHiXTmBfFWunaFxYvjcM6/4ccf3CySdWokQNDSWOtFfNECeUpRpTW/TNP84w9Z7ysK1Iu1BYekrtSK5zlVjTaF4v5HAPygMH3zuKy7bh8vFAQ7h1KKri9rNi4yymwMrSmyVNhNT2pNKfjQEoHxCvROafSx7QxU0Wo5Izb7RMawL/PyDkg550XS8B7el8MEaV2QRmZfKP6H3XiImolDDolVQnVWMR4RgjUtraG4Lr7vvIAI/N2WZxpEem+WDHMDO8N8C7BCq+AfUdL4soTX3+cI1XJThPCFJH2gzteFiF2c3frLBvjUhfVWLKwcTIoGykH0wTv/Ji+oTeGyEn1zqKAE6SjKryKAqiM9Zk4uMd6EDSjZKzrC263z/A+4jg2rdR4NquVyuL59AQfJuS0I3M1kEjmnWcRw6QVxRgmgo/ERf2ErleCh91Zp7TKHaygggBi3ExcpsDXDYiQhnPUUSCLm6TneTo9Eh9iX+FN70qUlKlY8vmGdz9/R7YzR8Z8mnH9dFVuXYcH1btAS6q2xolysFXlM0B40EO3YAi45DploZaEc72syOmJjO29Qx74t+P7fqwJp2cBiy8ENezgyydBDycuv+9eUSXYYOxEq0CKIYsi5y1ePrzwvQdQ6x3zqDUgGXrm9Pqunjh2fFywaM0Q3xOFIUW9cjw0KPBquFBX0zqFqdK1GeRbQUm0WZeUmTve4EM3406JJfozCWqQGiPB+fd1Qz4KcX0M8YMef/KIdz9/h+224dtf/g5vv3mL89sHLOcF059PuHx4wfuXD/jqj77C41ePFAR4gWBRYOjngFI8FTchnGaHykgH5bcCivrIKVNlWzppFgMM1HDSycUm2+Bwz9cEgMoJs/hPE/+5W4VV9oKUtbZMAea64QCAPbEgToclzvMZ23YF2ZTsvZBkqLBmObin/YmMxivDBlM+cLu9qEKtYW67qM9aXgPlGgSd8fDwBBc8Pvz2d+Tzxp/pfdT9RbiixpA1SlwiplmsGQg2LbQMQVRoYbNBO9w6K6QwM8CSx0KH+Ggf26GDUrrtr18/cvc00eTCgNilAOQJKDzTVhsuHy94+81bxCkgxYDWgGrLnf7AD/EYk7lxnRo7m6+TtdcFTU1YQYkT7p5fTyxKTmzpMHgh4n597AI8DaP439idBHpnrHvGDjw0IzSD++943S29Pwf7RQIMAH/37/4Sj48dDi5FiG29UQwWZyqE7FccxwHSCvF6zSQUJ76b4JjwqmusfG/OGSI451zAtJxQc8W+X7WYKfftS7sXjzgFVoqV1zj4INQAAMbCOSoyl0aK0M573NaIf/Gf/wLWWUwzCSLdrYnOwnoSoWsNyGtCrZH9NS2tN9Vqg0GERCl5kVivaaJMkP1Rq6Uo3FoKBOT0wOPOdmcC0SOR606JuJ/K9+Smjjek3t5AxfU6FCVqabLxqmiQcRa2NrRhwAS20tq3A6eHRRX7g3fI1qKZqonuXcLNYkAIHiISWHIl+8Y1ITZgflhgrSHl3WGe0NjfSfSU1+kQJpxOD2iNLPcoL0jqfmAHxdnr9RPW9UXVdVM+EPIBaz28ExuUpsVLaoAFtUvpbg3fOUX+jY8/ONlsrcEZoxu3HMaQV+YIY7DGIMaIVDLeX16Q2bpBEs3KnRvLm1JBJ7lyIo5WG7x12FJSkSAAuO5U1TSGumT7bWehATBcocF7MjhNeUUppBjqvKdKKi9ikjCEEDhJ9XAcTBzHpvw/8fwEAFGgLMUjBCFrU/B3pEPtNNA6hEruESWIUbHmxMOxWE7dODXGCGOc8rEokZGEjBLN41iRjg3OU4d1mmbtnhLcyCOEiQOPgnql4CTOEfkgWCxAHYXlkQa7dBOFU+O58qJBFWhTD5zgSufaDpNL3iubuSgTZpb9l+SosOqsmORyUZQm46jApt0W6lKKwE9rDet60eRVRC+W5UErYyTkc8L5/AbWWGRJDl3ncYY4cYd0Zu4AdYxOpyd4H3AcG723JsB4Tu6jPsu7Sjf/KZy92/UZpRQ+p07YTunAMj8OgT3DSlJBOhKe3z/j7c/e0nWXqjBW6XjUfB/sUN7ZKDiWJMcI4uAerjkGyWNRoHECgNZ5Sa3SvDq2A+cnsgNIe1LIiHU9cP6hVvv/xsMY9tZ0XcQJHWIuXRm9x2ybQebZ3DG0hGwY7RTGZwLDCATX+TTXz6Ts3QBYB6BW9Q+kIkFBq06LbCLypJB2a3UtU+n74Rm+DirH89Jqe7RakPDeU7d/T3QdxSIV2nzjHBCXicyryyhkwMgWb7GvhyaaJWeUzNy89cDp4QTrDPbrhnwk/PW//A3C/AHf/PHXOL854+1P3yKlzPBeIC4Bx5o6ZxVAq4D3FjZ4mEpJ7LEdaLnBWPouEWBqjQIL8gEmRdU2jPGSaA3zMQCNOOVS3OyBnCS0tB5Wy+uZayqEVCsVA4zl7irPKQlqHNMTDpbcFz5NKYmKZbLWsPps7+pkFoG4qSiKsx7BR6S0Y1svOD+8xePDO9zWF7aPIqqGiJUE7mi+efcTAMDHb3+Lbb8q/SCECOGdA4SsUa8/AOvLStYx0skpVf02pSsyegC22oV/lCvLFA+B+vfra+pHLIgmmku9Y6kJkwSluQCvcopa7iG2+7pjeVzImiVXXD+Rr12YIpzfUDJzpvmZ/xAPMxRj9HhVSNT5W3tXUbortKdKB1C4kz0RksKsc6Qsuu1XLcrTa+Q77m1QZFwLhJCoUb2TpMEDoIWTxtULYy0xmwwL8rQKEqwZ+G9sWzLcCP6jK3TK+ZzPGc/PJ0Y+8LqXMvad5uLl0nDsGxoCWhN4LItLtqYx3Rf3nZNHEjwSfjAlziFElLpQE2ML2u1zbibNBC9oJumeGuQakDMld02oRt51FXTTqRAUl1HB8c2bjZF1XHA0DWmvEA4mqaxGNEakkc8m0ArvWaWicKxaCz2DWqiwSLEfcdVJhDMhxknXCWo29E5lLQW1ZaRE65sIH5F9VNfN0OSTnRok6Z/nkzZ4JBEOMcAGEnaEoFGs1a6rsxYWbOmlmix0yyTBFls+C7bRi56S6kbFwS+aLbXAVUeK1oY0brwnZJDluXDkDBs8pgWwdoNB70RTflGw7zeGnJNeiQj/HMeKdb0wqpHUZm+3zxorA1CkwXGsRPHj7uZdo6BxEVS6pAAjJr9fce17wWhLI9sSFfMZkg6ZOM5aTN4j14pffnimqgjDh+SQjqiQ/vvnd7jNzK38Uiu8c5iCx872HGlLPPi4AyMQQPaVAXghMdSRCjHi2HdVgyVxj6SVWTLopYSGulE79n3DPD8gBAegaKWIArnO3SnlGHiaPRHJOSOEGdM04zgOGENd4QZokmuMwbatiHFCDBY5Z8xzZEjE8aqK1xf6lA80NLY0oU7ZNC0g7x9SAsw5wRqHjeW2K3sWWU+LpRht59S9G6WSRbwlxzyboAGz8WRj0NDgDHnXiU2NHJWrxtThqGoxIDAVgBajkqj7AUCfuWxWIhZEsBGHXDIvyBTo3G0Y/Lny7FLaybuvVUxxhnWefDCNhWMT24aGfScYNflhFl68KTCaphOsoQUn3UjFi6qnUTc6USBVmG3J2EtmaKVBvn5CawXn89t+XpaglqfliRNgljnnyt923bBfN8LqH5m4m6cZ62UlH1MJfgGCrsh8sqTmJvdOugcjxE+4gdJZkfsmc5Dglpk9NYGaCm6fr3jz9RuF89ZSgNLve6s/3Er/33QY06X5rWFbDWOU0K+qo1z9pvdA0QjWGZjSE9LK/poE3wFzCA0QGOYZAy6fXtQf9w7C3NodjCkdmYN33+ezd1+sJXIect7d3sQMwZ/GJpz4OoS5JzzGgGxNrGFrJFpTYQ3iRBBKhUKCbVcANcguOePYE8qeKXGoXQjm+nzF6emM87sHpJTw4dcfcft8xW9ywdPXb/DVz7/CtBDV4fLxBccqfpkNMIVtVgALg5oy4kT3wTP8VwIUuidWi3BzDBqYyZwSpIFwOo0xsKlXv/szbhCzcxij8y2D54sFTGv6PAIXmsQfFaAiJVXCyRPZvdA5pLRTN92HbhEhz9NQd1rGJizgDAvMOQ/PvDHxBgagAa5zHkehgt2bN1/jzVfv4ILHb//q17jePjPnPak+gfcBogQqiQAFu5Sgb9cNDzHomAEIlifrRWtsX2KgGgCUZEqRhvfVXPQ+SUF0G5TnJTAf99zxkGeYGf5PtI56F/BL1watYXlY1Bd0v244PZ1JSVoLCA7uB+opbNhf8q67ae13v9Z2yzV97e9pgdC+04txJCJ2UaqTvGZMMMf3yrk19r8+DijkVF/XwB3UitZ6wZU/hOGzlPw6gcGi6ed+1zlL4gyMhTdC4ElxSgr007Rg225YbxeKW2wAjKiTdsXcEY0mh/jaCu9SkG1C58o5oWTmFA/0GLGUkU5ymPo9IUEvXm8Ko8hao/iBk0gjyVQpoGWjaszVWkNNhdZ1QzZ1jhNN1NadH4KHnyLadugc0/vFkFsR2aF7adTjnuZsQa3kT3lsPdalJLgnpTS3FxiTAFiN1WplkVG2HkvpgDcTpqnfwxCcenBKMb7mHncaKUwYIB0JAQE+QLmbWlgZUGQWFoXV2WP0SoO4KxTLv4U7XmUvoD1uPs0whpwz0pHURizOAfP5hJQPRT72xJMaTTmT1V8I5KTx+PgVrHXY9xteXv4Kx7EOMZ/T5hoaNdQEIUD3hHRMLBfMR1h6rRX7fvtifvzbHN8LRhusRbakekhCAxw8ccJpDeCdR/Aef/Gb3yi/yDr7ReWsTxYuNvBkEEuAKXgkUY0NBGeRriZVQijx3Nd94JM5buEXLMsTTucHHIk2OuJFTogzGdUbw52wtGNb+aYaKE7ZuURYcRdhjEcp5EmTOLk7jo07ih4pZVWhJXGYwpU8h1oy8Wv8xItLhvczWivsGcnS8mFmeO0BZwML1jR+6C9IaeNTpAWGrqnili/w/mAhJFKoPdJGnVvGYT++fcTyMMM4Sz5pLD0PQM2rjTU9yOLqpG0Dz8wxV88QnFo61TIhgXtYTckMedqTcjRa7R3QxMmUqG62SlU05y3yATVUl2o60AnfsoFR1YYClHk+Q3wyrbVYlkc0NKy3Z/gwETmbpcMNb077Tok5BWAs79661Y0o3+4sF50zqQJrd4F5e70alIGSIYOaqk4e5/MT0rEzPGFj6NrMYyYo3Hlfd1yfb3jz07coKZNqZiRFuPS6ysSZwCieIUbm1lHV39QvjX8l4GrSXRvEgqSax3s01gt1laZlwi3ckBOJZfTus1X/rB/TIRBaGXu6lrleVLODYjXA3RZv9blpEli7XVCrjWTGTNMNkTo/hiC0Q6CsXZ+hOtwqAEOoAecdptOknJ1S2t1YkHlrrEH7DuEnWqvHgJDQEF6REZ3fAgDTHLRia5zBsSeFzKKSjYkPnugAW6Ii1HYo4qEWqhTLd10/XfDuZ+8QYsDXv/gG3nt8fv8M1IZ93fHtX/0Oj1894eHdudsg2X7uJVHC3hzxhoJjmGgMJApUCht0G608A4ALjnmGPCdsU5QG/SwztPwe6inPYSww4NX6aK3lZosknBQYl1woyGExMOstTqlgX3dCoDwsMLA40obj2LCWQhwdVuTWdU3tJazuOYK2maYTQojYjxUHF7+ccxpQnJZHfPWzbwAAl48XOEfc9tv1M62DPrIn5z2ao7CtlygvAyD7pkfib9ZcVb24J8dGu49yD60bk517iH5hHrl0k1+/Tsf/q3PTzhFbeo2vBaBjb18P4qZyF524nGx5sHZfw9FW6sdw6NoFixF2qs/QCPqod0R0LYQZkB8O0zQxn/Gqthy/L0m9Owf0ZybK8PZu7Li7z/ni7637Z0uSPCLz9LXK+xNF2fv1G2jEVeeElegq1EVc1wtKPWDbjMrWd5JIOtdYlKXCspUexQEdlQAEhc0KTFT1RKxRdW/tRraq3SkVQUpk2dH8IDjX6LxrLigGpDTMFIwmyY98Bq9zjTv/la2eXKCE8M73k9doNNqnyCe3j5naBsQUQB7IQ3FCYtvWKvJBn+esh7WVfy8Q24kT8cACZtLJ3ZCSg/cT5mWh3CRFRY+s6xXeCQdRwrGmY8l6h5qKxmm1irJ3Zs9NHju8XRMlQhR/uUPdDGAtQnCkd+FYEKiOmG3mblbLewztUT46HHvS/Ai1IaWMg5toDw9POI5DC3tyX6W7W+vBnOaAh4d3iHNEShtx8ktBa9td4igNuH2/YZ5pvxTuZrXlbpxL8ZXi47+lZFMrHYbawakUOGuIX8iJx+QDovf49adPeHkhyWfD/nHWGPXqVHGh1pQGUTgZyTnDe485RFz3HcE5LCFQornt5OEFqgrcPl+5E9NYcdRjXh4wLTPiFBhbT1WoOM0Q0ZsQA67PNxwHPbRaE7yf7niAVGUSA25KTnJO2HdKEIH+h3BCjfGYJkk4swrXkO2GQBICYjRIid7vbOBKFm2kKSU4d8CbyHABhiDbgBBZ3ZQ7skIwz/nAuj4T/OrYse9kt2LMBu8jlscT5ocFrRKcgCBCDtt1I6hRI/7mdJ4Jwx8YehF8lzpnXzqAIdUClaqdewlZZDihKYV+J98hwWliiWcfJljvsD7fQHYalYzC90T4dvYxfHh4q3CB49iGLjJ1OmOYEdkWRaA23kfEIObLie8NJezOkvS494G6p47crXJJSOWAEYhPI6/M+PQT5XKWkqgqagzzFDh5lQ1XKr08vgW+cDq/UU4BycIT+d9a2lBaI6uI28tt4C7QvYsL8WpVrELhNnaAAbY7UQzpZiqJ3vH3VNp80pG0M0lBbmVVUxpfzjRkRhIsj6JmZlHQebb8yH90h1SUR76m3G8Ad5wz+rdBYO7rsXZRsvsqKM0ZC0sbvzFc7YxIR8LtuVcshxO5Oyc7wN7TntiYu5/fXeHB9oC/1AYqevUghYbwvfiHD75Dxp3FcSRAIeVACA7OzvBTQHv/gnUj1UXHZuO1NeQ9s2r5kBgYCpbCHGEteZBNy4w4RxY1M3j703eIpwlpPXDsB9KRkbYdNS00ljmIlMJZaxXGkehaTQU1Fq00W0tFtzbVL+aM/OnCoI4pwkl8uwv7gPJvQTCzAX0ihSBW9y2vPhuO9AdqpnMy1qDkpn93IBqDcq2PhLc//QppS1ivN/IJPip1LR11OwGy3ZKAVAJcOhW6luv1MydfZDkgQes0nfDu65/CB4fPv/uMdDD1Ii6karhdaK3LSb8zRFa9NLwW5wIEr4nhdJpUaREAJW77WCTpHXdRPBcI7dipbI1QMGIY/zoRfT22paAmgbSicobPe92F2Ncdy8MCH4lqc/l0wU//zjeMEHAE//wRFNW+qyEw/l32tfFnkjTI3j92KqX77L2H9Q43Flps0uLhRGlEC/2+Q8ayNVb9FwGQSJq+hs+B0wotIPGcGNezu6TzVdL7BW+1kVK3c10ABobenfaDVWPZM5LpD3KQ0GGFQfetlvEd48RduV2TSHBiTxzQzP61Dj46ABMA6mx1v09oDKzLO3fyKsQXnTwswY0dYw0CIzxQibOJmljwp1s6+ciJZq6Ap7hJCmItM3qtDnMNXCRlO6dR7bWLWIrYktPxIUUJoKMdRHNCuqLGcJKYC6ZpgffcwGHkY5hYG2DPZEN3ntTjUm5MY5FFgdFKjEZovKJFyN4Z5CKxs6jNKrrPB49Uae/zMSBJoj/umYM6rXQ3vSeV61GAD+hrU60V6/WmHfH5PKladjp2lMo2f+NaVys+fPsbHPvKnU4Sf1vXC/btOtx/em8tGWAtEx8mFSilWLPbAgLErf4+x/eyPgneY89ZoZOtAUfOmAMlmUukBPF3L8/DA6NOKBz73IyB1rBxdEiTwRSDJqbREy76dhzYLqSKmQ/yYtvZk9E6hxAJgiTiJfttJygiBxNiJO2DU0PVUiTw61Usko6/AJDEirx8vA9Yb7tCiqAqpaMiWu8MppSxb5RE5ewJ3grquIlARZxmbNsNLTccR4J3FqXuOA7LCWMPyKZpAjCDvEAPHcjOEQGecN0ZpxOpWUnV+nx+wrEdXCWnIEaSF+FMhilo4BlObABcO1RYJkyplY3cSZF2H6BoBFNib73MymNDN65WSl7ykXF+e9ZJdGyHijwc66HPTSqZ1jqcTm/gXOCEL+E4Vq0+OuuR8oFtu+Lp6SeYphNPtmfsu6iyZaxrYigawcFCmFiJdmYp8h7gCIR5PJblkQoTQ+eSbE/IdLlqYaIf1H09cLl8RAiRlHP3jQsXB5YzQ9o4eC25EkctFfXBzCnT82GugJCQOkEeCqOk59Ag/kljZ0qgEhpkyRyuZJ6MIZDQDaVWXJ9vePrJE+JCthFUvGkaYH6XxcCP4RBzcSrA9c1zlIkfjzDTvBo3MzmkUHDfhWYYp3d4+fCCtDMCwdtB2XTsBnVIOQzBA0sqqKFz0QHmnQyKs3KulnbKQcCld04FmeLZV9OJQEgRj0qnXduGpmp7622DBVWXy0Fw0V242rUhsdiCdPMkUPXO4vzmBHBceKwHrDN4+skjQ7kK1pcb5scFudAc0ftpwAUzsubKrJAr1yRV+1IKAnumye/UD9Dcc25FCVq/o7U76wBreodZjlrqF894DMSNMWiuAYn2gmKKKkyLuM8oNDWfZzJRtwa1/gxiuySwwtaacnWmiUR/xJ4LAIn8tIpleYQPE2AsxL/53buf4/zmhMunK3tUy3Vn+BDxFH/C8vsdCigFVQDcZemKyMYYXD5d8eYbj8i+eNL5lKRN165X96T/rt9/Ujqudz+Tax5fL7QBOb9aqkK5JeEck1XDxZmaSRV4Ps/YLiv260ZwdDmfwXblB3mY359kjj+z1jIs8lWHV58HieJIIdyysizZadS7rqbAEMa4717V88sEsLXKCU35zt9rvAJK7gCoF7e13NnUdcLoWinnAYii/ZcddhIHu7/s7datSryn7lIzFt7GTpmwFgDtC3Q/zKDy2RQyW0vBUSumSVTsWXk6MV966mqhx7Erj9pay6IvNMa3204NgsrXi0bdsdTQvLsbxzGK4BI64obhpmEJiIMQ3DhPG/mR9OuzlQuWAFifoLWmNI5SKyVZpSIdElsRbBTGMCXIoKTEiRsLhWniyVZLO10Paaf0cyu1wlsS3pEEqdXQ7UZMR1ACtAe7wBZZpZDqe6Jzr7kQxx5EG4xz7IVRY7TD2702mzbg7u6RJpxsz1MMLDfAEltC+eiQDykyyJAgW5JSrlyQ6PQHaV5snETO85ngs8/vkXkt9s4jTgseH9/BOY/b9bMmkzlv2ParujGQwCWtz7VW3XdkLS31+xXYvhdn05kOpWw8iI6UUefGUNeG33z+TAv1ADkx3LKHaa8UbfvGIcmlMQZLCDiYI2kN+W/uR8K+HtT92g8SqAgeqdDi1RowLRN5Fj6/YD/Ib2y9eczLmfyHgsN+pe5WmALcHqgaZQWjfOVOYVL1PqoSF8LP14RONrcoNan6H0BBU4gBACniWoY6pIM4NjFG5v8diHHBPD/wubOBK7e217VXJADqIgAOMUb97i47Tq/Z95W8iUpWxVbl1jAfcjpNmJYJaT+wXjaGb3kVBBJZ89YG0Rl3/6xEHXjsVEtnJnPSNAYBclDnjjplYQpIG3Ve1peVYRosOFCrcqRSOmCtxen0iMBJ4vX66S7BOS1PnefDxHGBoQCHwh0zL0Ii/yyLwLq+0OIRIuPZA3b2o1MzYV74g49AmHC7PdNzAVEYrRXCeq/UGpDiJwAcx4rn52/x9u3P4EPEtl1p/KSM05sztivDOyzBD9OeMJ8mTejiQhWuYztgWlEosnSn5P6O1XoRz3gdRBT2uwK4uBy4Els6p6rPWYPrpytKqTg/nbBeVpRLvtuwxoLCj+Uw6F3MUZTpO48m8M2uEE3v48JG6hV37fgEDx9pszeGvDVbY/+vYe28n19gDkoP1Ed5fGsJSquBtzUwg5+wJlivHqcEHy5wR6EShKyWxiJUZLUyLRH7lsjsPAb44DHNJGImliNi9dEUJWNRDW3qIXq1egGAhRNJHMD18xUuOJzfPgAW8MFiepjhrMXtsqrKrrHcsWBvOWOIeywQqbQnTUIA6v7GmTyFrbNk2+SdVup/X9AtnpHUbaBDEimZN9Lx/K6x0avdjTnWhTsIBTndF3Cc66beApGfpgmtMb/8NMHHgNvLTRPCKc76PfTsHbzzKBykh0AescCMd1/9ER7ePuD5wwu22xXCxSwlk1pwJjGPh4d3WuzTcQ+iOci5W2v5/tO6tT7f8PDmrF0vF9xdh1A858b7gtaUGtBaQ9qS2tS8Tkrb6/cCd56zgtIwrWkw3BW97z/n2A6cnk6wzmHfqOjpg9fXCuT9h3p8173Ve4rKFlng3/XE35jOfTRsYyc2CjDCqXO4Xa6spk+waznu0B3aeKgwrJlwX4CQ7mBVAZj+GfXuc19fmxSnpROrY0f+fHX98rlEeYlfvHS9rGSxw3EYWRPdFwxJ08FpU6WhUhzDqAbiQ3PHqWVYeI3rpIjZUJEzqYOWnLHtVAya4sKqqwa5JDhumAiljLxO6Tv5rIFM+3YxUAsOWoaq+hFbZxFZUTodGZHpEaNYJK2VdF1i4WUd7S/jPbfOwDhHHsNs8eEq87nleYP3RLHt4iS9uaYoO0nahBJAsTn5klo/wXuLYyORR0EZknJ1wYQOhQUYfRMix8S0BjVuSGW2cUHTWghZB8ZABVXJaXhd99Erl7+VRtdQReR0HNdQO6+SK8pBFpBke1Lo2eD+3rXWtOlxu33WMeacw+PjT7jJVPH8/B6FEX5ScHTbBdN0wrI8UNHj5SO27YJSEm63F5zPbxGdVzitCM2JEi3lFwde71v/tscfnGx6Z7Fnyd6JY1m5wuusxRwCPq83PK+rSr5rMll7wjmev6hAtdZx3iJ+UWrFxCpUR6IAPLPfzXrZOrSpEb/PeYe0H9huG/ZjHTZFNog9MtKWmM9E1XbvJzgbUGrCtlFnkJISIuN2ESDiacU44zh2OOtVXhkAhDMDAAEBArELYSJyLgBvxEfzINy08Sh5R2ARh2k6A6i43V50wQEM26V4ffDOBU6AIw8OA4DMrVOmytDt9hmR1VYfHsgyIM6RRIEcdX17hZmeRZwCfOxiQCF6tTiQyq50NuXZy2GMYTl/tkFh8Z9xs8hHwn7bkfaE7brBB69QiVpK72iK6uCx6j11LqC4rFVAEu1IMAKD5UoqcWlXhY7IuRG3tk+mzNVV7wIKE8z3fYU1O6b5jIm9OyXRzOkA5HNg+PkZTYbpHMmY3ljLIii98k9KYQnr+oLHx6+0simiTSF6pCMrLyMdCcvjouffaqPAPRHsrvPcKhcijML3FEnT7F2yISqXpdEcko7/uKDUOlgHgTYVKkyseHhzRogemzGwDgOM8Md3WB4zY8JnPSlqyoYNdPQG0BCn8IrfDO6Q2bsuo2VepA8kDES2OASLF/Gh/hmtc3QN7gImYwwF6lOC5eBBVWkH70BV/3Sde/g6qLbOwIeANPw4p6RrByl9V1L2KxXYCPLtgkPi4gmt0xWoVXkx2BNaCGiNktGaC6bzjPk0w3lPSIfWCI2hIhjkCfv822f4SEJIPpJATS0UmOV8YMKEmgqhX3LG5HoSJ/fZWkqKDgkql9hpAwIPrhWCcul5edB1aAwqfPBaMGu10du0a8P+wbl3juVP6YbTve7Q9+86aqGubYfHOw0OS/opvA/UQTo2LrIdqshYa1ELFec8Hh7e4cQ+ms+fP7CoHkH0ZM0az/V8fqOKt9Z6xBgxPyzEj429CyuaBenIyKlgGsal804FRX4vX9h2ruWx7Xf3SubLyC/TDnBruu+Mc61/pv7rLnFwzSFtB+ppQlwibp9v2NddOc859ef0Qzy+7MgMv4OIOAXlLb9+Db3uvhsof/cMld73G3IiChSYbjJ+d08qh7WTj/HzpFgsBQwpvlNw3psE4yExoDHd4um7DikY61y0lvQcRpRKA26XG/Z9Iw9E63VNbm0muCOPf0k0jTEIPiJE4hWmnfQb7iCbZlh3UCg3LIkUxjnWpNcXgD83htgRTuDiGkqPx1qhbqrhEwfFcq2xR6bQbGrtQm98/ce23/HQJbkRZAxfMIyhNUjsrOAJ6mydUS9mH6loiggdD8eWcGyJC30GeeNYkD9zVN4PU9SGCZ0Q3UMZEzlX5JRIFI8LEMdGgoykSkznXPaMoxSOg62KvQHAlkjsLB8GLXg49shshoSOLBw7SVRUsMaIfIZzMKUBhpo0cq5j197xfc9H54ADrICeMiShHsc7OVIYHdsEpS04LY9489XXaA3du73295ObxqEczaenr4mCtlNXdN9XxLhQc4stUVqTRk2Bsw4J+Bv3oX+T43t1NoH7ypc1BsF5nKcJuVZ8vq3ImQIOGbRSrReZc3mvMZSkFk4gEiceI4TWs8hGKgXHumvCIp6O6cg0qJxDPojXQXBVMA48wlpSqrq9kL/ktEwotaDlSryd2pAOCrBz3pmU21AKdUDTkWAdJXXWesyzJXJ3MwBoYyaVUqr+0XUkqljXzFw336t9oCSXkmq9q6BqHS1Sy0L2GNM0gRR1hQwuamSOYUx94PYgVDD3Dm/f/gzzecLp6YTT44l4QIVgE6J6GKZIXZR5QpgpuIXpHkui0ggQfKJw8aDabmUzemwSr+++41VyUSsNWpwsTm9OaoGS9oR9O5D2g55hyjhYUMcy3Gu9dZEkax1MMHf3RfiU6dhVIIpOumpFzHFl01ievPmAYxN0Vedi6O40LbDWUUXR5A7xgQEM2ewsyyOrFx96XsT5Jcn9LmxEvydz9km7sdYa5CPDR8/y2uK7yUIGav9SiaQui1AZ4WKN4LXG6L/BvxcOpmd1SEkiVRVSq4tfwgDpdbRY3j7f8PjugYN6q+JNYwXvx3SIDy/971TdDejzUDdGDnzjPPXKd2u0mXNluJmuNhgiFX1oXnqsLzcVYZIgugEwVp7bwBUdAj15/c6wKukWyc/HP2VdEU9EPX8zdHC9Qzu4wCeiEI0S0YaGsidk5g5twq+znetZckFaE3KugCFouAsesBU1Z+IZeUfBR6AquNzCBFq7804qhR9//R7HnvD47lGr+amIdDsldAZmUHuEXpMEEM6RaIPadEiRLHr1lqU5U2HsfZLaWtNinXTSBAZsm+X52X3jqGNMVl3WW33PGJBQIaypKrdzjos9IvF/XywAaA2Xe24M8XvrM3Gj5uUROR8M9Xcwci4QK4qGECakI+NyeVY6CL3eM9RqpWTD0FprvcUcFu30hCkCrXHxtvEYHhIHa8g+CeeBS2pRcuc4V3M/X8ww5oTb+7rCPhZcJJEH8J2JkIxjJzYpQ7JhGFonz+Bgz83rpyvW5xsev3pUhBatez/cziYAne+dj27QFFr6ZdewlF5s7x/RhXucI82HYzuwrZcv1F/H5sJrASJJJL/wrkFP/EmZ/hV8naHe1EH1fY+zFqYZjEJG49m8TpJpDlJXryMUgG0lpwJN8O6QRQUhBvbZpPsZ46QJcK0NlRsaMudbo7Wqsh3ewZZ7autRCryL+mzu4KOD12SpGeN6Is0yib0FfowMxJk6dcL/E5jotExa+C+53vPQrVElep0H1vK6AljvgULdQhu88n/tkPs7TxZeDQ3YqACZc4EHxYgEb6VO+HxygLVopdCeASgFquaqqDOfAws30d7poieVXe4mhuBQCt33g6koreHOwopU4EUgioqezRBy0gnvs0p8zpBcvg/WWcTosaXC+TzBZyW5b63CR9Im2deNUFFMgyEHCFoPXxdBpNExzgXdr53H5fkz1vWCECLO57e4XD4yXJxodYTau+A4NkzTgtPpkbVdXrCuLzidHpkX7OBcQ6tE4yDRSi7str/FZNPAwBlD/peNWq/nGOEsWWIUfiBugF6Siun9BlEbeXYWDr5SLoT1BiWYe87qq0liRJnUS0vFvu76OfnImBayZTg2yuRTOljNSipFmX0Us7bSayEsfJwjCneTqAonojyZExmqMJFqbYW11GIW3x9XHVd4Jw3YKGkVHyH6fQgCrU3wLiJOM3UPQ2GZ5wPGOMQYWNiBbDZCmHhSAPu26gJF1ZyE4zi4BU5VE0mYgo+Y4ow4T5jPM06PJywPi/KM4twrYi44SnbmoFA/GeBEinf6HIkfa7SrmQf/zLtKvbMwpVJSKhA2lsyWzfv2+Ya3P32D85sz3v/Vt8QTmIgXuN1WEsFIO8TIPJfESlyFCwmTyvhLUCWLrsg9iwG5BZjEn5FLhhDSpQpGsLEGZx2LQ0Xs+w0xzliWB1hjsR8susSdS8K7B8QwEc/3WCFWGNVw4KjmyxJcCX9zxtPbdwqlcZUESwDhDx0KUVH+Awv0VMuVxdfrgFZ6KWkY4ZCjVcYYvMlzttYy1/YergYLoJANRckV82nGNVywDwHuj/UYr11EePDqfjTeyK0z5FFWSZDmdVdY4IRknE2JhRR59ht1duTfhfnekkGNwgqvOxTGkLVGPhICW0lpUjl8tyQi8CI2QZciiSz5URq0HXBcDJTmhBEvT0YkNDSURPyPmirbY4Gh8hHYE2CM8iDDFNBKQTzNiCzykA8SaXl890iiDang+kzKeIV5+OQbXFBSRU4HrytUULLBwjJk03uHjKZJEN0emlfee+14UeLsmDtdNEkEul+pFAhbI4g8QeP0YXOswTxOFgeSBHJUbTaOBLjEc1g8PI911+AnHQn7dVM1SIHcapJvxT7MIh+Zk3NSdTTBsPiYV47PcWwgtXby7DyfnzAtMz5/+Ja4nUGQMgXHQWITMS4d/t0I7WKMgXtYlJufEyXA6uHLga1lSHLaqZhonpjzZ6QTf9/RkjklhTApJvdxer9mjZzYsWM8ft5rhduSi4aCGgwOHdBjO/D41SPCRAKCrVTd/37IRbVeOLtP3MZrliRHno2gHwR2B0jRqj8H5wjtkdKGg7uahm1W0CqM7fdWHtt9ogkNuPt3iJZG1cKJs7Rg9WTxS5iurIf0Oa9gtMbo9eh4gUWcJ70u5x1SKoSA4kRwFLUVEUcAiLEn0mGagNo6WsiSGmstBakdNN9SIl4lLCpTtUQc0RhaU8l7s6GUlagJaeM41Pc9wEiBrWpsAxjcm4kyhUPuC6/PgWGiiqJxllEujfQoitM1sZWmXc1mLUwtvaDnHByvk9aLpUZT5IllmkGIAQfrhsj9yfngxgdD8ytRr3LeNe4FDK9nqz7DxZwRpogwR4TJ3815y+JeJdF5qCMCSNU8pYKaKekPgYQzi/D6a4WpBi5S4ptZ2FL2Q+GEu+BhQ2Z47AhDJ5HLyHscifYFWEghl84pzgHb7dDiTv+MoTDCyadAaW+3F2zrC7YVmOYzluVR6V3jvE3p4JxohbUO5/NbQkGmQ32SARIQakyfoCT0Szupf9vje3c2xyOyUuzn24q3pxNypaSRup6ccOL3E+spSBErBloMvLPYU1ZxB4JMclK6JVJztMSbCVNQESCpdBAkwXGSuWNdK4InqeX1euFqAnvzHBmtVqzrlaGrtODSZAkoxbDPZkVKiSEBFsYQhCjGhZNa+j0AGMNm53AIQaTi2X8PkZRPA0FS1utVE0vhggpOe4rnPuhqVwijgRAJXtEK0kELAEnZewDk9Xg6v8HysODh3aOKk9CDYOizJ3J2nIIGEb2iZhQGTRAQhkm4DpehjzPaWaCFiBZLgXuWnLVzWVKG9WRQL5CC9bJheaTP84F8PY/1wLZdWCW4qhBGa8SrJC4qLaglE0ZfxtI0neBcgBk6kQAQfESMMyWbaUfKBwx61VN4So1MuZDSgVYLexd9wLI8Yp7P3PUWzh2ZmTdLQk/TtCBxh7PlQytRY+c1JbJaud0+4+HhCWGOLMtPAep0nrsAR65aHNHP8Ra23nuAkTCTBFZ9XgH34lu1NrSSlVcr6o86LIZj7BYYY6jzfNuJuxE8AAocvqvr8GM5VBxoSOTp550+0O1FxP+0C0K8Tk5lY5Z5pDYSB1ltyKbZSiWOTOOKtW2w9svAfdxwji0NXekv1VfF1oh8OQyMGSr8ljpoAKuIS8cQDdZ1HmrvylcWHmuKVil5qMxyECpeZsTtfCI+HxuRG4aFf/rtJ5yeFvI0TSSsUI6MfTuwuBmlJeIE8ZovRTHLdkpUIAPA+pR3kMtKYmbEpXEqwGEdQWuNNWip6bOR+WV4DZWCj/V03lRA6MUeeQZawGGeFsRSpUkxYqhYewdfG3Ijygh1GCi4jHPEdJoQpqi+dPlgvQFDwkvXl2f4EHkNpzUtBLL+ImjVpuN2ns94/vQBl+snEgoaxnZKOykZNhpbcZF9y3PnyMKfZxI0u+06jNOeFJ5svONCGQk8yXoydrPGMahrke2dY9lHXo9X+ftY8FLUlAzvAQmi3XlnVblz7AJJ95u8jQtOwk8vZD01rrc/iqMJPLULJ3rvAWO4k17uupRj0VJEgQRRUwuJLgovrKGh8Z4tPEN6vzy4nrDee6Ledx+le9caw0Xh7tA5Uvy/D9jlsxhyKoJB/Rf62jhRA6HWqir86/WiQX+tFkBWSw6iTYHPmxBOrTaFTUpsqTBLS13PfauodUUtWUX86qsitdjqiQXIeF9y3pFSQ/ATNR7HREv1RcZ9xgKWmghpp3MLU4QJjYXbhmSH0RbirxmnQHSJXFSFXOG5RrxoeS9yVKQEiMrYRI+jVtSUGdZPPyPdFFLgtYbQELU2lJSwr10ThTrVHTEWQuAudoM1BJ11zhD9JDOyRHjkjpRgC/MyCYpv4R1QTIcxO2/hjEP1TouBSlGqDUfeEZcJznsY21AzFQ3n04StVjThghpCPoboYZzFsR4cKxfKLxwAawG5lujvxzYA4WGOqr3TtKAUKgjKcb1+xrI8YFkeOAm/70S0RuJcOSecThTLyvySZNM5j1aL6p4QXe9vSY3WchLmnYPJLJDgHHKtuB0H3p5OaE0CUOjF1CZdTvqZeaVIW1vTqq9lcQa11WjEAxRu375Sld87rzj6wjxB4UiKOind9ALvz7oobdsNQENAhDUOOSVIeWr0iirMtzPGIATqCMQww4eJuSxZYUGtJeS8s2VLYPyzQWsZpXBl3DmaKI4efC0VnjuvBtRhKzmrR1NrjRITw92u2timg5JMqmztyKWCQGbUuQOA4BvO5yecz494/Ir+994TLp5VXoMnDL3zTiF7IlgisBENpC11Mok3AMB0NUoVenIWjZN9AFq9oi5O1WTUOcfy0lVhfSXRwutjwOffPeN2u2hS6J1HYa6jnBN1HVfuZFJwGsP8apH1+n21dgW7ECbEibiQIt7knHBxNxzHStUtF0hZLh8opeB2e0YpGW/ffsNJa3pVwaLA+3R6QjpILXiE+Iz2GLIhbtsN02mC5QqesfbO/1Q7zzrOqLNBhHQLW2gjFJiMQDK0AJD7IvY6IRz9CN3Q7ZcKs1QA5fpKythuG95+8xbTMpE65J7oOf/IvOfGg+4XwzG/4z7UQtY1IkBTSrnr3BhwZ/FV1waQOUSbk0An5ZmSb5rRwFwKC+Mx+j0WttjA8NzvXgcS0gGkg9SFXgCwsAtXstHQciFfZdc5i46r4LeXqyKJ9tsBF4iDmo7Ma0GHIsUpkgLodRugXoBxbEtgDa6frzDOkSAZV4dbAybm3TQ5bz90mr2HswbVe4j5N8BdN9PVJkd/TaU1cABFEHKe36lo8UDsPDxX7EsuCo0V4S15jiJsI8GCCZzgsDWUPgNrUbk7SOPDw3sJnsmS6PLpBdtlpTWDhcFKLiooltLWhcucx+n0CO8n5ujcGO1DXPc4LUjHjg8f/1oLmCkfCD6icjX+SPudL90cAyfyTnm9zltMp0nhvaM1FnWsqWtSCgm+TacJdaP71QscUpgBjJPuZtO9ahxjd3kBd1hKKf2H6L8zmj8Yfa8UeMyrDxuDvPWyqhhaPhLi3P2uf6jHv65gKPukMeRfK7GS+FZK8E90D89wT6/6EMQpq0MC2JXu5fM78uZLpVl6jdiC3BfUGictdujuQdbX7ygSvO6cgmMbw76gEj8E5ogL4ur2cqPko3W4o7UeOWe0RlB1Zz2cD5TQcbdOFPXp2jLqMewbaPAhINZZ51DOGalsQMloNqCi8vwN2tXyvqux5ryjtcwUsIkt+3oxCxDBJbo+VVxtlCSF6Mk7kvUyxrWyDveu1aooK774Ye3kecXFJVmfjIGuFepgUQgVQ8I4st80KuhZg+vlBaWQvcnw9Pl8svLNHVsw+RAG1dqC3R7IhTRahLpnHCHZaqNGUyGcqcY8nuMm8ttsMLxHuBjVOqXkCstWKInRObRnMBS50Jo3Wml57+GiR95SpzA1RvsUghtb5kG76DWelrEpCALKKSqcDYhhxrZfudhCCIFaC67Xzzif32BZnlh5/MvCWM4HrpdP6hcvsGSAbG2aDxzzksr532Kyae7+9M5h8h7PK2XYDYPIz1ClF0iSGlY7YAyOWh0MzPlmB+eQa4EzFrnSJi4qstMSubq7c1WVeUHRoyTDkEppu1OgXRiCOVYJGqp2RIGqCQIATNNCyQ5P3FozjuOAdd2MVzagWpNi+AGgtYM7WRXGJO5yEv7f+8hduxXATHLXaZN8kd/feOHwiGYhHD/jrolTadF2glWSOm2BGL8a4+BDxfn8Fm9/9g7vfkYCENY55r9wxTBXhJlENZy3ZK1hOldGk03heA1VTKd2D+TjZL0DuHM5is5QItMXJBfIZiAwLMuzYuXB9jUlZfLf9BEx0uJ4u70wLLZw57Yb+1rr1FPTWafSz3T/SIV2267ML3xQGK2oLOpnBPIlaq1hnh8wxYXU3ZwUA0hJOKUN3377Kzw9foWnN99AFBtLySi5IZkDU5wJtstdFnrmIr3u4Nlbk86FRHqWh1mD1JJpMZT7IcT63nEeCPveAh1lxtfeu53jeKIxXIcKHSecw8adU9bgS5692NkAFIS9+fqNJq+0oRjlcfyYjhDmL55Lr2aOHWdaI6Q7ktg/ltbBLzlQsj45tjw51oP9UBtguwCDvLbVilqEX9Q7Adbau2IBnUshtWnh/g0cTgnoW2rafQD69ZAqJwAjfGHAhg6blEN8dY0l9VoX+DzYs5UErQg6uzwupNzdaAMvhd+HpqJxzhL/u9WK0hq22wG0pvezFgpirDHKNayFu4itaUHSYOAqul4gU77Ya76tNXfX1VrTALbkgrFD6oNDrQRvB7p/qPCqBSUgSaYcX3TmLIlwNJ7/kmhVDvKspUr7dt0p2fUksHYcTDfIopTOzw6WfFaT0wJpaw1vfvINTqcH/O63v0RrFd5FPY9cEjz7cxpDdgS5JKyXK2qtOD2e6J7Vonu8dU65xRJouuAZEt67Tce2d++71hgenQFLCad1RqGQrVa1xxE7GHoOsmQZ9XIefsjPTu5v72apTQ0X18T3eRzjchzbgdPjCT6SQNX8sNwpcf5Qj9eJ2esELYZZYx7a9/o9FDSC/J06ffzcjwPHvt7dZ4of7mON18eIduuJKHPr0Neo1obGgJs1tkMbBCohMYnox7+6vkHcyFmPaZl1DRDLr+O4Iueg5yQIpFYrcjlQisHp9EQdKpCVHQCOWezAH+9IPu8k7vLIyHAuENTUUIG/VBJrsdZ2HihmjXEkOZR9n5ogCcdhsCyC3Kpc/BvucQNDRxuhVmq3uajDvtEYAZVTRtX1zqMY2ktssqi1wYX+2YLaEXQJ2dX0mBDGqMUGoV1ovKR952dJDYRWKwhtKhO6a1+IZYePgZwx0LSIWUpFZc0AofOhUYc556pWV7AWphWgGVhG7pgk/u0NORcEQzx4oS4YRwlxzQVp3RFPk3ZOa6W8x0XPOY/t3p/Hfae6lYomezR3N4lKItzeXnCprei67gNxd0UIi+YhxbElJ1yvn2kMhkkdD+QeS5Gktop9u+L9+1+TQNzpDVorJHbJ81ggtt/3+K8ERuusxXmasB4HUilkUN0ALxDM2lBxz6mQTdcQFnPolg2VIuYDemtxlApjSRxIOivU3fGqZldzVa4KgF5FzZkTxBW1Tgpdo8FYIAa80jXSm+MjjLE4nZ7QOMEALLx/wDQl5hFuCLzwtpbZ84j4gfu+smoXVaSX5Q2muGiAo2ap3LUiUnjqmyZwPzEBFZ9praEcxCElj8o3moQSLpu6qzFO+OZnf4w337xRQaRDgtxSFfo42YkTQLY8YX6LGxJM4ZY1fjaygXvuNOjBG75CwlgQw3C1i7qnRpNaeRYUdFCnYPuwYb9uaJXkwUtJaNwdnOczV7EicY9Ysjn4CGOdPhdjrHI36e/UmZyqyIyzRyk6xGTbrziOXauxpQrMymqVEKUAjUQ/np+/RS4JX737Of5/5P1LjyRJ1iWIHXmpqpm5e2RmVXU3SPZwwB1BLvgT5o+TW3JLgAC5IUAQ02z291VlZkS4m6nKk4tzr4ioRVTPdOYAw87UQlZ4eNhTVB73cR7Nui5/DgBHhEB9L6itIEYWSJblAmMIXXt9/UnEN4Y1xbIt/SDnHLd97AkPc4Q+h5njMgdY50BhVmzUqyegvXODrkTaGjpnZS6IzQfyLpV+v5DbO3NQ/mzXbHvyDGHtsDClB5SKVdRXewLy1MnUPzX58UEV+yLFojDuxdjr5q6cOf9+SpaG+E+TZMCimrNE/zfXFMCrkBWmOccp1Pp3aRV9Tw6XhRYjHWJJP7X1suCu8LFtRVhYBTaGBUQWnaqIPZiuYF6OguO+96TFL54d/pwJNQ8ODaNLZb0Z/pqTyi/MeYx0rO3kQaqqsEzaz+NTS4PVdllFD86UF+gDobY6Dq21XkScFZ710r3UGMNOSAaqcN2tH0qJzjuYwgAl5wKAXdRdYLHWKGc2d+Eq5wKLqan08xAg+mVdrwJx86d9iXtlnuxRvHRPE6ylKnUSPpWVDqxRCJuzuL7d8Hh/wHnXPZTnvSEL1FjHogsFgR1NGOlIATgekVPwSQhoFHTO93VOSjpqwI5CyLMybVdj5r+O5wkF6HgcWDcmGW9/+4SwBrG6+GN2N3XMtHuonT5gJA9hWcdjpy5vbYMSoJoRWowsmV05XSsDBeE6BH/+/Uzd+P5nlCDcPP+bJnCE/g6RoHN3U9f981rUvcE5Bx8WLNKhcmI1df/63hO6+T9rq8QNDgYOMQq/XrqOGmNw33VEek2weRXlqpVxYIz82TqnbtowlpxMei8WOCciaJVKtSxauh5PaVGp1gtmRwZrHWkwHTVYsSyEpeZccdmsxIDcSp0fiMS+DiV29GEgC/Xx8/lkReuD3+1pqKfnATjtT24uwBp0gaZ0qDYJiwHWOSzr6MpV6SIzCSVFy3XOae2Q3loiahpilty7hpK/sRRDM0049guh4072QkDiJMO5vb/vWG8bO6vS5V8vCy1eYOBCoMr1qVsvcX0pCFbPnBF3resF9/vXfg5pEZUK4dupKaZJKPMY0rQej6/iNX+G085w6oaGx+ML/v73/x7/zb9/Y3MtZ3z9+g8ApFEsy9bhtr/1+s3JpiYZvhbc1hX3GPGIEVmTTd0oRL3J4FxV6jCK2lDNgC6cPMWMpdhQpRTz4oZMMq0xuHg+Pt/xeH/Qv1KgNOkg3JJcvzMvY0zKDJK4pe2eyT+otVAMQbiTDNCs2Ivwxl6vL8gp42P2aAKrZapkRVVKj8vlRvI2HLbLFTrBSs5P48EDnwJGxEqjNXi/Ytte2VGoFaXsKCVjf1CEht6YAYBBjOgdtBgjLheD2w83hDUMWFOt0jnMDIokgFRImG7CTboEPdHFIH7r/QHOXe7nAE7945SLaK3p0FAlRFOynhwBF/zonFiDx/4VOVNZNpcMA8sNZnXwnknZut16cqi+qFkq+5ynASoM5cRf7vH4Mqo7taBIIrssl85rAoCcYrcA4O8pDFVK7qpy+/6Bf/z8H/Hp09+4OQjMl3OswjiDy/bCLmwbvmPBcz61WmF9wPGgBczLj4H2BLmwE3tKHCwszr5mIzjmzxoE9aJG99GUxN9COIO1wzjnq7WBLpjXjSYUHBfaSCwCCdX58me9jDHdFkDHy2k3uFWB5PDP5aLJ5pMA0/RcDaadF66LKDVr8UGD75kzDTnYdR70Ofgd0a6408qhf3b7bYLcP9f076f7LL8vjQJvTUR+airkwoBWBzUV7Pcd+Uiiwtd6UWu9LDAGSNJJ18pw59+XCtfGe6oiad4PoloWdt7SHgmPMgZhCz0A5ngAKN+Og46NCjqpf9ycdBprYCGd0fp9iHJXiZ5gdXPBAJ0iPwveWCp56/1vVJFuzdDv1A4hL01eAdkzC5EhMUZQE8D1x1Y5v7TApjZPLK59iNUJA7V1fcV6WfH5l5+7SJAxtgvrcQ4TIUOhiAsF6qax02TaWoMKDXYhCSeLaGENfcz6npRFqGpjMGamPWTea6pQLzSxZN1jTjRH9+U5KZnjjfmeae1EX+v58b37L0VfRXGkmIFKYaSw+O5h+Ge5ehfPEmqJRgimJknnxykHjL8jXabQs3q6FxTWOe+b47xhBfR5vc1J6BzPcQ8WPrao0TMOmyC1cvXCnHEi7iV7A9BjPmNch0LSr5a+7Ud8nJLNXpCS+eS9Qq0TUprnnx1WSjJuc5F2TlwBdLV9A9J8VKxLE20dC34X6RKWAqBg3SaNj9Y6mq/Wistl7cloL/ALnzAltWkZNJ/nVF+7gdzfDBPNykX1jNbQM8k60xEEVZocWtCZO8nehS7q2O+pOVtNaTGBUNgCbwNqawhCzyiJ2iu5igiodAydJ1WqgWq0zlsY71BTRpbmi3VDvdYo7Leh62XoZ1IkVy3oHp21Njy+PnB52dAaf++dx3bd+nxhV1NgQfKd6CAgBUwM7iu7xHS3UO0WRemFsMI5h1249Ho/5nVljMFxPLpGyXHcv3nsvGa+fPkHfv38L/i3//a/we32ilIS3t9/hRWBqU+f/obfc/3mZFMXmbcOBhUpZxxakTCsJOdacb1suD/2b54/bxRFvHq0s3kKuGAQCwWCqERbutqsdQ6Pr3fkmPinVClqpn9YSsOTi4peA9u+LBfE+OgB1HEcqDUhhA3eL+KdyLazdqQIy+Jh/nh8gLxQJk4pHQAavLNw7toTzdYoKa+wTR5krOiXmoTbCXz9+gtS2gef03hs20h8uhKsKKLBoMM2Y2zCP1x7Zb2Wgsul4vbGhICbihc7gYWqlImLyi++e8qVVBBNgrrY2XU53esinMezMND5vlrnsFy4GPOXJPws3hu/hN599ktAlIQlrFTEVU+idESKduRMvmQTyEkrcJ7fRzde5whJXVYm6k28t0pOE7xGNlYX4KzDIfcUjYICKu++rldRIaYqcMkJRg4fGt7mvpD19YzhY798+btISF9A0YCMlDKcu8FYh+v1VTb83DdQqs/teN02APR3S3vC5e3SifgllV5Z1DGGGcWBlppIl09QoCkA5vvUHqwpLG8+LAF0MQAWBp6Uz6a/F0UXvD+wXlaENXTC+x+Zy/TPrp6YfSeYATAO2Fz7vG9ymqlf2dyF6a8hXBcrj0niCazBNkCotSZGnSdqnsODc9GgtdYDKOVhf8NffLq0K9UhhBLgKJdRT+eWC479QK0NYXUi625wPIjIqLlIMKAJZxB5e/Ftq9yX1PLEVP2inLd+6vAt2wK/euRE8RhnRqcE1sEFgcZaZpsNrQeExqAXScixNX3v7BwjOxRTeV9qr+br+tLnzOtongMNTbiKRkQfWL23rsFm22G42nVVKNwIoDF9B5zmSAhUadTujM1ektnaBdVSiljC+s2cMIaWWqrazv10x9vbX+BcwMfHr0jpLORDtMhFAh3fxd7CGnB5uXzz/ZdtYVKWJy8+oAc8ORcEjPWjxZMZcpxjlO97Tgq/GWvpfo8u00hSvlcE02ASUuDW9avoDgDdkqbVxMK2xCpOFCi/B33/I1yjiPl9mxErnLecRheqtTbBIZucp8M+wjqL43HIXKv9tU9FLTwlkBMMXJWeamtDwRYK2T3bsWlsQrRamF57eo7EdjBaRFPxo0klWvYZ6h+wCHV/H8E9Pwf/NKJm7dzo4rcqKIOiBRnX+dnaTNB9Vffi0el0oM4Hi9q1ZMa/SeGztgsleq+WeHxOaw3e0cczpdS/77pSYVqpL1mE3WCMFP0MagWc2FdZZ7Felk5tU00I9ej+Zl5Yg2ans1AWmTGiAJu5t6MOazbGX7qeDZz3QAasnURCvboyYIq5zMkyBhnIhurpMe4Cv5VmDgjv1flpZU7yvsseIQmwijMWgS87I9x8ZyWZLoB3nY/KIqVHk8ZXjglptwiXFYecdWGjtsr+/oAmmuM8nsYQDa1y7HUfqrlg2254PCpqjb1jG8Iqe/IhsHFa/9SSTzFYaxX3xxds2w0pHV1sSu+Zvi8ApLjj11//BZfLK37667/Bp09/QQgrcooUEP2d129ONr1j4gHvEY8De5IbLwuotoYjJbxdLoS+iveiXs8HRoe4aFfGsnPqniZ1FlPzsC6E8sSMKCIR+poxxqkCpK/HTljwqxSBjCjQHojpIUpW13FwW7UWYFbflWl9gzUOMd0R5SDUZDJnA2srMFVq9v2OWhP2nb/jxjB7vhXkzICNBr7Asq494V1vK2ZMvbUWDVVM1MdBSREdtTxhsOS9Q7hYvPz4iu220UdU7oEPDkXURFW+WT9zSQU10EctF4p/9Ps9XZWDjl2TR+fgPIUhSjGIj+GvhzLBOr3rIkVaJTNSFTseB45HxPuvHziOo1e7zJOvFyt1+pkJA6NiVuZjS4axFkFEmnKOIK9zhZHCg0LFVCxoXa/kJSmELCvPwvexZlUNEzyI8NpWi4gKMWCjSm7ulTlCtZt0GoS3UQsgAV2MEd7T//J4HLi8EI6RlExuyHmtdTIxr+cOJ+GyQyRID4zWmvjAoo9178LUfm73gHaG9mjlTddszpkQPmtx3Kmm64PvnNHnIPDPcBnjOi8X1nyT6ANDuMyJcMoIhDEQAP/09Q1STIhHmn8pB53pHUG9561U8qenBEWvOQAvKcNtAj+agmxFnFC0ZQoKLdULFdLtvZd9CB1GGY8ENNIbAP4+LAHLFpAOL10sHtZxZzFwuwF+WRGCRyu20xmMwPCqcnmcgTHjyLICO2o1oeTcA71SaXECEFkD+a66bqxB5xZ2Tqwb3cGeSCpkeCou6diNsTICm/r2bNNuRkkQMajxGCeKtgovLKWgqtjK07rWAE8r4yUVOFHM3W4b/OIp0pUL4qG+0mKT0CpiOpgciOUXAFyvb9iuG375x79KQLf0+eK9x6dPf0XOGY/H147myTkRVdK7MAWqUFprxe3tBn+hyIV6pFK5OEGFAuc5qUJV2jXwovjItaPIkDNcuz4l4zo3gRE0zZ2uvq4MuwWnYo4ZHdI2/dvoCOl6MXi877j9cENOuYtRmX9SmPkjXd92iyuROc507ndP3KbHaLI6awscxx1JOjQ67uYUeH+7T6F3HKcuYqswXY30DPM1GEU/VfNXUUcAonyvSu2Ml1ICWlP3ABXQcd3qpDXaw+0fRMnxcRLXyMdUO7tWKyrEh9SMpFdfO2fa7DWUniTPe49e3nvUEmF96PDPMT4Vzi3SvEgiBBTgbEDKR++W8hzPSClhXS+EvFv9TOQ0ek90CUCVcvVkB5r4Rjqxh2Mcw2RsFK6J9FIKguMdkDFkMsa5oWvdGKBJMspCTiUnX9YqEWypj7t+ZybnFabYHptro0EfF/cocdZxOk9zSWxShBvhsIEJZ5EklXsQxeWM4T3VYnAStVgV7BmF+YH+gpECspzP+/0Q25XQFbmpsjsrAWsBbXIIyBVV1ORtk/3FGtSasa035Ewl3tYaluUiVDmh3YFuFGpXpfMNAGLcJfdZsEuR43sFOAAomfRAYw3e/vYJ68eKLz9/xucv/4oYj+8+53/s9btgtIv37DSmRE6MXErSbSLucFkW3Ovwxpmrpf1gsCqjPXdNLZIGaZ5Ea9pmcKEck4S6KnIejwOPx5euUsWJSa9Ja/2EieZ7LOsG5/00gZksjg2wwsBLwgE4RxJwyuyE6sHLBIWVh5TY6vYScB3HHcZQQWpdG1wXYRCF3mqxLAvW5SKQTYPr9QXWORwfR1clLKXAi32KQqGUj6pdVu8DrHHdDN45wiQuLxdstw05Ji44Y/ohb70mKfx72IiNV4uD4D1W72llg1GFm3ma6qXEf28DYmR5KMWDNjVeElxC3ZoY+DKQtGIHsYu307quOI4VCegVG2MsvPPwPgi8NveKDjvDWunP8hlHsHy9vsFa1+Ep+nvdEENYqMwo1cMi3EwWJqhSS6sZHYfSN0hrRufz11//BZ8+/Q3X6yviseN+/9zfq5SMl5cfBkzEUhZdu/DWWrQ7yA/66xu7kAKhXK+ETijHzhjyJWopEKk42cDPCAFdaypcU2uFbSoGo51LhfFNB752rfTvDYD8rhQqXxLq4YRTVhC/BTH84S8KQTkMlWFJ0GsZcCXp2oU1dKEnYBR4nxNOCvY46eQNGwa1dOhV9ydIWatUFaRBE/q/fS+YOx7x5LfJ30+B3pTwzJ+rf25NMpXtpl06uUrKvZBRMlWTXfBdDCaLD1lZPOKREEStz3mD/bH3PalJZ0yLKGENIi4mAh2QLowlP7MVqvN2QTPl4BgpTAUH5w8EsZDRsbRToYCfWarYjYJGys/RgqgR8RszQcK0izPfkw5rVk2CqSAEQOC7FlXudTzSN/B2Ddq7cm0CzGK6srGxhoiVnKFiacYYvL//AnY/VECiYF023F7femCinnZ6b5flAucoq++c62qGShuIcZekY4VzDbVa5Mg9a71S9Ge9rD2ZXm8bHl8fsM497S9qjC5K2s6iiUUBAKHFVMw2TjoX1atP5+IMpZ07+H1uf5NIfhtsGWN6UXzmvbdGKO2yLfTvtOx+/1n46Vxj4xwJYRsJkO4y03hrl1D3wxB41qsK7ZzQMVE8w/rmYPh7RQAAorMwFdPMSDTnrim7PxHX60a4vJueUxs02NfHz0rxzrkunmaMwfE4ptgVp8cZODQUAA7azZ0eCApHjkDfOYdcoiDbvHTrWBgbwn9uJPNGhYi8xLa00iNUXoRkWu4dvZQP0QAZ422lO6fvQfGuAOcdHh87qsRsxQpqRQrJqvg9Ym2DWqZ74VgoSpX7K8W3xpotRaDwnQNPRF0RoR1tUo1EldQm7wOc9Wy2tNI1SAD0JGueAwqvhVgLrgttsmplPFlzkThr6Wq3BLvwDHGBSBwtaGn+ojxOGyb/YNnHm8ZchWe9qs3eRcWa44+edxhnqYFWz823nnhWntsGembJekDB5fKCj/dfCeleF9zvn6FFPy346evO53YpGfv+gdvtE8xxPxXlrGUsHcKKZbngcqF45v6xw1qDFDOO+OhIv99z/fbOpgRDMWckmdAx5R4MNYHr1daweo/kM3IdfLLnRFPhQ6qSSbVOh0eM43Ggn6YLDsfjQBYOhV61Vnx8/No7kx0mZkzv2gziNBWclOtIeV9i2XNWqCOTzG4HUVUy2iCEtdtjWEuZaYDJn36P49ihJHZtfRvjoYI4s9EuVSptT14+Pr72gCHedwCtVyhGl02/u5iFi2qq9bYHuGhM0NOeuvG2Jh7LtpDv6f1kuFsnKBeTSCfBkhPykzEM6k6iQHLPCc/NIgBRRLRJ/DI/djjvcH29iLogeof3+umK158C9g8q+YbFo1jbxSoABvUhLJ2HZK3H168/437/iiwVMUJg9YA480F0zFj1dz1pBMhzNTBSLaz9MKOh+o7qC5xz2LZbX9jHcUeTriiA3jVoreHj41dRmyWHUzkGxhgcxx3LMqS8NWHukJla8f75A9vrBetFXjuR72CdQSlzMjAOPespWf6fu3owNiUFeq9V2GXeRPtj7OiG9s+dCuLjEBikw2ys/qe6piClHz6qQgp0jkqtmdLyfhorDWpLm15O+ZrsvgH0LJzfb37sKCI0pZ/z3mlS5Ef1V/+xgQms7mlzl6cIlEjjyNFhsz0xcN514WFR7WfxQY266wja4x5RMs2qYRZ24aZkocN4RCHb9eIXVZZrY5KVE1EW62Wh16a33KsbLUgo3CDwJghUtsN/Za+1hC77hYGDwuN0zIyMb++iSDea90xF7TSoVQieQWsGzXx7D3WZdU5lrTSam64BUacqt/WOgZHYffRuX2WiM6+xXUTUjn3493mhGTjL8yvGQ/YY7kHb5aUL3hhjSTuQDrJy3YGlB5daNMvlHODF+KC3tGFAnDO9QH/8dz8OL1YZ49unm3haju/dKgNAtw61ekCD7NyT8v74se3xsUaKA8Lp1HnEx85cutbX4xi6M4RNnzPP91pr57XDGHx8GXxDJzYFf/RLi+L8mWPpPTu76lHaGotCduo+AuhUIhdoCdL5ZU+FL73+c2fHXDxQddvRUWVRWeku+lpz4kKoYYCFWHYIRJoBev7m86hdmnrapiMiJ0FCaQepVCzLBh+C2OYxmfOeMd7cYSulkMOunE2dW62AYXgVrQmB3FIeXjiknq/dIvxykeR0IApqqSg1daVbtGW8h6x5a33fA9MRgcZzwS88i0oc8EsbgCYWSzyHVM1c4tM8rGX6mul7IuC0exqpJKtxQ82kSc10H2sNytScYDFj6cmkMUW0VLL42LtemNf7o3tdg+5Nvu/TLji4TE0TnTvLRA0zFmgZnebV2tAgaY0Cc5ACZjyAxZA/P/aIRvVeUekPwmkvB9XW18smCvIVYVu6D/Fz8Xe+aq6A53k+72PGGKwSf1qv1mlPiWYvAI37w7nIYiKfr+dJwfXyBi9UvZwPfLz/ilIyXl9/wv1+w7JcsCwr9t2fBZt+w/W7YLS1kr+XckaaOpvOskXNKgG/WPAeaT9OA9wDoIlrodVhJVIXCXxLrfB2SPgnOVyt4MdZnXlHPB5wnrYiFIVR5b2zjxOhFbaL9NAHihAuVjbUUsOLoikDrRgP1P0u3USBaJUCgAq02/qClA+k+MD7xxcmTsLXDGGB9x4psR2uqmDHcYcBThsDCcGEKQEkiz8eH7hcXrCuF0mqErxbALPJpmXRPZQcIUklkn+XjogvP3/FsgZUETnIWTstvgdDwIBRekn4dQE2STKdJX+ztYbSKn2MtGudC+Ijdox+OiLSEcWnLCMK7yyLXyDAACCI4XM6ErL4xX18/YKP91/x/vErnPNY16uMBYMnTfRCWJDiTslrURfW+6XciLE5kC+pSnlarTfGoNSClieYYUmIxw4YgxWQ1xblYOVhSPe8d9FbI7e3Fvz8C+WkFVKr1cucEwwMLtc31MrNlIkuN2dnPeJ+4OPXD9zebkz0ZJNfLksvGDx3rE6Br9hsOOv6mpovVvFrLw4Nwa7alYrnNfqs4KjvW0rFehVhqTy4hH+ma66Go46xUmhMH8PWsN22U6AGKCRn3FMA/aCk3UVDiqlzOI0E2XOSyM8hCaM1XW2Wr/8diK4eQjF1DzlggkxP8EWdI5DkkeqRFkR3M8jIqQzfz4nX6LzHsgLby4omXOH1usLsSex8uM9q4TC1inhkGAOsF5p6W2NhFwdbK5WvvYdfXIeWLtuCFkTUofNcJeDV7pcbxUZ2Yq3QB2T+F4F4ib2GIlaCdKGt3E/1z2SXwQ4VxqqwqDOM1jmLFjxg5HxM07+bBojiLDtqo3ug/HofPNJKD1sfHFV91Zqp3bDfH4LyGPL3AJXUAWBdr53bZIxQEozFsUd8+fIz4vGAD5JY1sLg2S+0PMGYu+t2gy+JCQMmVeNKuDM7ERuMoVL1298+9TNF/Ug5zkU6Pd9CWrvegHQouD992z08JZr8BYyZgl4App2Due/Z14xu/nlvO3GeqoiZ1NoVuI0RJfU/sKewJpG9eqWXMSdY6ijUsEBbahaE1Tm0LGmosZ9ejvAINJzjM/7w7b5lOxdU33/AdJ8vvY85J4qj4Mozf/E4n5sOxpy9bkMI/az3wbPQgGEbYQz9aMPC4nYTEcElrML5O6RxULrwJZFWVG5tjQlFidqJ8mhtNCpiZjeOhfMIawOutzeEsEnCRSQdAOSiqEGHbb0iF7oReL+Afp9B4kqIFzsElUL+Lekwo5ij98UIRcA6h4oy+OpGVLGf0AZd8VxEeXoiPAkDAeSE1jqgqtrV1PtpjMG6BsT4QEq7dDQv8H7tDQLVMtFutAqX1Vy6LgY1WizCspASFoUexyYiACAJdFZRFSUVtKmIVB0VbWujgCU36QAnqBgAKE1wnJUJdVjoKZyPhPWyYP+g+F1YVI12nN1jDmKa0/werapGgIMxrQtchrDK+E5K5/Kn7tnGCGUPbNiEsODl5Sds2xX7fpd84h0x7bg/vgxIbsnYjw/xYXbSwGI+NfjCv+36XT6bFcAhFYkoVWljHW9MoS9mlIpBbeeNflSdRqW0TrxOhYiVWiXBseLbycy/VsKV4oMJ7OP9gRgPGPGY8Y6kYmscnBc/w5VdTO0wlcIN0BgqiDlP+KkNFiVSUbGUgpwSahvBofL0VHDo8fgCgMTl68srnP8BX379B+6P916BC4HcwVJU8AZdMCilHVTF3VHrgtfXl76YGNBrRbihlIgYDYJfe5fTu4W+k56vz6T0RtiPLPD71wdtKl6v09ifTbI1uFUxIr10IcwdZk002wQneeyH2Kowwc2Rle6PL3fs7w+Uwq5pWDy2F+XG0gjceYf3X98J8y0V6aBPkAZWvUKZE1KOeDzegdYQ04HH413MybcOex1dJvluLgief+Zm8EANfukFCoUn9wQBjRBZSUpT2qWK1rplCTmfC0JYpJNA7marBV++/AOvrw2vrz+OJN4HeOmGrstFDkJAPZBgCEWidYBlgUA2be8dirdddAkgRAO6zqYkYV5veFp/6jMHQCwn5qCbm29N5fScYdlTYTI7MvvHjtunWxcN+CfFuj/0NThK/PszXaDmImbbjT59zjG56sU16byX2nm2MNo1s0iR1IHeYZB9VhPL8RrjM80/K/9NH8+sSop2MU/cpOn50tm03g4IokKB5heXvTtHSvS3WiQ4H+/pgudBmzKQa6/ux9YID1Y+jzXstgp0kvtAEIskdv2INBsFELVGSRE0y85Z9hPyvHV8OsxfPr9zbiTRxrCCPQ2CitW0UlGmNdVaG8GTcE+9iHPN3RdA4XLSDTbf2hjxrcfrare7o1bqOAu3lwv+9t/8Gxhr8fnvFnE/pGOTelFViwpqYaJFrWW5dKi/0jQ+vn7B+/uvvF+tMsH0pArYrv6o3s0UY/N+wadPV9zvX1jo9EtH57x8eoFfWMhUysTt0+00F8MacNwLu0runAgONGbrY2ysKvpK0cOaXgw5qSfjCe7/dC9afx98m3D24sq3is1zIFike/H1l3f85X/5VyxrwPM++0e89IxsxnRhFy1kqG+wdo/18XppYqDzp+T0DSqD83HoRcyx4T+D0PLvk2BeL/LUjiSY4xUtHKuGggp2zdcsKOUcURI10z+2yT41f7dlWVDKVeYNIZ9EJRW0ep5HKe9dq0PjCYiGgve+Ny2Uq15KnFBYFt5TT2J4HbZO2To3CDKKWOcxzrHYtivCssAFB4IqLJoUI713KDGhpASlutauDkseovceCUlQLQ2tGXEsANbrSr55ykjiNuD8uBet1icE1ThjnDMw1SKL+E6bRMGcG4geJp5OCo8WQMD+AJQ6ZozaQsl7OAsn47pcVzaiFj8cMUQkTvd+L3Mv7knmJ6BpkTa8tLjVGveJJN3ZILZPpVR4ZwEnc7gUbLdNinDoxWUvsXWtZw0Njhfv6zwvc2Jhs1v8gNaH1+vL+GzWda97nR/a/FiWDa1VgRIXiV0dvnz5Oz4+PmPf37n2Wj2hQmKkkNe6Xjl/40GV3t8Z3P0un81cC3ItFADqkFV6xkQJhI/0rSIogCGRPHU/5+/irUWWRBMAVu9x5MzAS1vewk+Ke8Tj43082Rgc8cHs3DiKv1zWofgnmGlObB0CVi6st7jcNtQLuYP5g0FUSXzfZdl6R5IqVR7X66feiUwxwpgVzi1YlqtANCQICJvg6JlgprT3wBQAUk5ATtjWK8KyygbI9vi6XlBrko2zIHgADR3S4hGwrJsoPz4QFtoCrC+stNCrzZFHJQlmWOmTpvL1hKIx4Q7OfeufCXYKlCidM4sBtY3OTM0Co40Z6Yg49oj4iOQhlUpz+oOb13IR65LLCh88CfiFG3tKTNiyGDTPyZ/OlyM+8Hh8xefP/woA2MoN3i9Y1ysulxd4H+jrJZ5DMe5I6YCd4DbeLyi1INhNNrarKAvXrkpLGxkq4q7rFSGMTvCQLveodXBInfPIcljwvQ9cLi/9uyin1PuAdbsJr3eopOmfSYJ4VTPbbhthSVMiyK7AgNee0AO1TetrJtzL5xZbie+Jyejf58qxbq5a7S+JyQGtKhIl8f9k19hDxtXn6wTXctZju209sZhFBnpw0RVRrcB12BXIkbwZMwVfg1c2OtOnhFPEcQxwSnDmwLCkIVz0XKg4BevT+84y8M45Cv3UQpiW9WjStVXkRGtMJL1zyPIawTLyyKmQey/y8Ul4wABgD4dlzcL3dMgp4/p6hTW1V6b9EqQK3JBNgvPk5bfGpqPxDpDksH83Y7SQ/nzTup/lXDz4Z1drrRfedGzmn+dAcL7G6451riIS/aoj6aqFkFprLS4vF6zXFelI+PqPr3h8QGBlFbkkCTAmzo4xWMKK4lwvrG7bjf7AmdDAI+4UoxPkCIOkLOerIkBY6XbB4Yef/jpUOY3Bdr0IZ5m2VuwisIiwXteTFdOyLbKnnS0tmFwz6C8t47vdeB27/8yN0e76c7IBnBPNXpCcEpr+caRYovB3vYfGGHz+++deQNGiyR/2ej4LQLiiJpuqmaAdKv25NXb01ILNGEN15FZg4SiNMp1xqlI3n0+QTinMGULLj9U6Muy0pqE/fptIAuif6dvCnIrdKJdxQO7D4qVDmaECgSyyLNBNKIQFXMu1q78SFptRSkRKUbqaK4CKVulEAGCIoRmFzA/F0WW5YF0vUPuWWmn9VmoWdFwGwGYGvyM5pkW0JBS9RQ4tWFTSpFq+/+N9Jw1B6QaWnbyZw05RNVFFVw6rU4XsQa1xnkgWrhv0x5/vhemDb52Ba5xn1o8OdRCYq/UOSwoiUmkBAyjNjLG467F1F/zR9xH1fucMciHCSOfCsH0ZjZRlDSgq3Dchk7gHFiluSTHeNeRaUO8HnGiNWDk3Si7IucAFwo9Lzmyc5cKkdFlQyo5avw+jPRVbZJ5zXnoEQaDoPvvp7W84xFGjP79WpByRM1XG9/0DP//8/+ln0OvrTziOO47jIWiYUazRq9aM+/0rLpc3rCutAo11eHn59M3n/S+5fvNuye7lgFDq5SZydJY2OnAOvuarD7gqVdVBJNbX7Vl9YcdMIWha3bx//kCMB1WUjCGB3bB9zApU7RNGYRDPZNdZaCOsS5d1LyURhrC+IBeVYWe238Bkc9uueDwajuNduAnElYfgUcrAlQNACJsIMlBZcVmcdD2opmitRS4R8eOBYcUReqLDwDCgocC5BbcfXrqKa4oRIQRcbjdsLxt88AiByoXaPcy5YBF4VpDqLIPbbwVESq2AtbAwSFmSo0mOvLbRsU65dJisckS18tYfXxuyeAXqf7dPN1bICp9Pk3aFvNmpKODEl7IKdDnJoTagBKVkSQbpX/l4HMjpgBfys0LNrBlKcd30vA1vLgDYthursSV0GNo8X4NfOrE8LCpDHWVzqAK9NlADXnYCgnTC2fF2jhWnZVkE7hYliY8i2b4g7al3MJOM7+3tigN42mQGjLK1c8dkvqeamOhcfw6EARF2MeZ07/SaE89amSykPSKIqumfodr/fJFD/O3vNdFU/sm6Lj35ItTn+5VCaweksDVybFTNE5ju6VQqHvcb/bB8humc/s1qV7ucRDC+V2zg4wf3vU2vwYJDQY4VzgM+eOREyx+gMShprPznFuHhpn3dwqjdirPssHuH8ogMAgqQkpFgxMGYFbU2LIIyqLXCSpfCBybyOReExcOvAcE7BiEY+5AmYPqdnsdTlQnn8funCTjO60EDl6db87ROh/iM4YeQM9Gi9iTXoFkAyp0tWlCySAc9pkspePnxBZ/+9gkfnz9w/3LvY6Lwx8YIGkU6OtaQs7NsC+qvVfzbuE+ldMjZuWBbSeXwPmC9rgKDHd32sHhcXy+Ie0ROhV7NjsVMPeOrJTpluVAXoMjZbewUyD6Nq14dXfGdNWX6wE772/Rc5UPrWMz72Mz/1OBzFmKaoeNVujKdp15Z6Lx/vuO4H9heqO75R73m80P/UwirxiPpiJ2mAkkyzTTxtTjR9Q20AvRPrjnQljY0gPN5pYJCHW6uhb6+2M6ff/5ZBf2MqZKojqLD7JHsHLua8ovBOaxFEG3uhICgPgh5oWgNQ4We/63rBmP8EAhDlvdZOP+sqLxLsrssq9CDqFFBcZbhQ9xag/ceMaqliu8oNxby2JH04itZSoZNDi04NGvRKuS8Po99a5BifoMJLCrnpJ91WHQ5LzYrAhPmZ+C+WmUeVDn79Dzoa0u6uFaTVVNgLR/XOdCGFB8A8GtA3StSpMWSgZGxGaJ6ztJL2Tb5DLLXpSP1QmTJRWgTVpBjplugZBFuYuE1wy8LvMCEbfAULZP5UWqFEYvFDClOOCudTL6/NmOIGJNzxlqgViJxHgO2OwqD8tVFVM3CIqwe62WDi74n48YYLGJTc4pk3y8AAQAASURBVHt7RftS8fFBpElKhE+zkRW748Lj8S73yHaevf5OJjHQBgqh1orH4x0pHVjXK63EANxuP/zTtfs/5vpdPpulVhw5Iebcu5dFNoiUMyfZKdnkc0/E+sqApFmgJtlABLqg/jvOWqzB49f7XQ5r2yuP+8eOfb/LIlcRFosQFlxfyHeD8Cxmc3utkBhzln0/PnZW2R2r496z68aoj0p85K0oFzPi42MXcnYQWEkSOATb68uFcKJSU7eH0EBTNwWqkgUJALIkn15eV/k//JmvnXG53rBdV2RRyCuRnVUAaLnAXzeEy4plJXHcL54/i8qlHrLLFgQCxwpQQkLzHvzaDWvwYmoum3+jifviHLIxOBKJ7TllHHuU6k5G2lNPPu+f6YcKVfEThUi/eKzXFfER2SFbPCW6jRMotMe+f4BiP/RcauuG/fiQjWfD5fICgPwkbf3TaymJtc2BJax4e/srq/k5Aa2iNibu23brEBjl5zrncbv90JPDUtKAe1fdYF1PXo/9AynTckcvheaoH+rHx2e8vv4F67L16pNzATlHLMsmENwHslRCay54vD9w//rA9fWCWgqO+4Hr64Wbf56SCcsuZTWE8D0tVqrNSmCv6pzNnNU3yZMqEnR/q4Y5X7qWSsqEYopP65/1qgIHgj0n8PM+MyuozvsiMAJdeioOQZ5aidx4ToLmoA4Ye2qPuTSh0YSqllNwoQ9ujUiC/1yXRvl2yo1XJIQx6EiGUjNq8Xgcjw7R6p/BkIcHKW6Qw9RETIywearUkosfFs/HJs734pxIyS/0MfPk4bR+mDtBd1AgyAkqQyGzmvkxuJmSwVpP3S6FzI3imCaQ5/EYCaXCPKmQxPsnj3EWLddvHo9JXKgnss5SuOQ7xRqdB84TAXJ9u+K4H3h8uSPtCS8/vmDZAm6f/kbRiFRw/3KXQmmmGXwrsMZhWS94++GnzmtfBMo/eOw8O61zuNyuWK9rt1bRzzUr/IYtIEfu+4SGsytda4OVZOT9l4aXH1/kzGPSv2y8j30Mp06C/smxmcb7f6CIxXnw/dfSS3m5M+S5yd6oj1WEgRaKnl8j54yvP3/F609vHer3R7zm7lf/nXQ2Fb1SpyJ6bd+eF7pP0ZLnMQoDz/PcTJYSrfUkU1FM6hPJpJDiYyr81z9nf/6ZZ6rdPYDrXZNiqsYayX0ofOgcLaxccD0uNf0sLNAOIz+zGa/blOKTuwLsgMGGnhySkpUFtu5hTUVDgYoR8fEKlWUcmRLGc0uEAznXCsvVy7mlq/0OkSSPJaxIOcKYiJw9jHdwK+9h3GP/fkO5nF6RVTj1Tq3TBJ6qjYlaqWjPhK/BwnRFe0yv1URocdI05NjJ2MI7FhrFyxRNHCdKkVge2K4bHh87ci6dC+o9ua+obEqFbYNxFa0UejMb9AQZYKfTr4yfFY7PbcWiFtKSOEeIzjPBwQXqmSCwW0vFWVHXFT94CMJwvx8UrtNk0dMzHcZgvVAUsMQhuGRKgw2md5WNBYxTLREWmZc1CWKMSEFgLpxU7B93xHggpUMsqqpQKqgJg6YUvFFES+nAtt36fGutwWAUdRSZkHPEvn/gen3Ftt56Q+X3XL95tyxVIZTo3S1+UA5gTJTq/96m3wSvrNVNNVQtivt2hNAuWsURWBRVDGuXei+FwTggG6FzPQEIYRtKjntkV1SkmRvGjbOGwi7EuCfpQqnPJqGmaMC+P7qY0NiFa/f0dNbC+RWt5X7TvLOIKSKXKh3WBOcoarNtVxmvDGsDrCmA8D7v93fUGrFttx7g+dWflHfjzoQk7TzgW6HYS1ik2moJO2iVPDGA1dyjUD2UBwUoDiSVylNQBBYOHCxKbfCW95WCHTLh2+hgo7IypCTyJt3k/WPHx+cPqYJWSuIrB0d4fjlmfHx+75ua9Q7rtmE9rjjiLonar7hd33C9vCKFdSSFAtNR4vRx3JFz7IeUdY4LpxZYERlSbHtKB5Zlk27oKvDZuwwfDyP1UD32D/HvIzdzlQWbc8QeP+R9SbD2YUUIjh3TqpDvisf9K2im/gInGHj15zQghLf60iuwGvzsHzuub+SHxJ2QZBc8cKRxz6xFyxnKlztBZ587XVL4sVI8VkhbaxTyoFLwWQUNGDA05UQVgYaUnLtSqfN/PhgtIMnetJ9BDgzd7J0jusA62yE1wNP9UXSBHMbWWeSYEPfU/621EfBD3wtDlEdfR1+bD+Ph95xcYTq4uiKqfge5x3PHs69bNwK/ImJeNVU86gOtNvgQ6HNpDErMUtGvAmWl4nHcU080hz8sYcBhIRQ2WYO2z8kClWfjIyKljGUN8M3BWXOqsPfxUbjcyBr4HZV7XGhpYpVXOXG0+j3tQyX3tzbGsnWMA3+P82On55+UwyXxnZOc+XnG0mOtVk0+IfxVBjfbbcPl7YIU6d/2+MqOUU7kCYU14PbpBmOAx/uGjy8LjvsDMe0IPuDycsH7L+8TzM7CuQ3bdsVle8V2uzLZBzvqTQqC/WpN7HIIS1y2BZf1gtaYfHJcp05Ua+wE3rY+LkSu0KvRqF9lHY+f9xw8FcTmzvAcU2jioPza+TybIblqTj+Lpun7jVgFPR7RjofeOlOBr7/wrFouf8zO5jlWqz1ea42CMqo8XpsqeA6YKYtlZ3XhnLMkPEaSNIV32m/fd+KPzWcYRGFT0UQATu+BeX3JNaghFerHqUqd9E+f3l/2M2OZUDarZ91Yu6oyOwf8AAP6nBKy8ignC4/+3Wo7caZrqahWzwainxRyTFXaQ5KHY7xfqQASLpcX2VMCak3cT2NEzgelz8Jl+l7oDZiSCrwvsN6zgKl0tFJ7YycsgWPhB/rLSycTAvnthRoVDHL8XkRgzVofcm5MkHkz3XNj2U82VlER6IrVyoPXe+S9Rc4VzfL7oMeQtouVOkeFdApnUkjO5kwEgjGD0mGGzaIWP3Tq+BBONBE9E2bfzHREpCdl/lYKjo+d1LTLyj2+7yu1N6yMpRUUxYrGXjPOCp5JNVfsOHD/csfH+6/IWrAOG4AXqDBbzlFyiYr7/at8Dznf2hC9Gsmm7OkTOsio/d1km1JK7hS0y/UV3nv8/PN/wu+5fldprokSLYC+wHSt9+qOHA7zIXF6je8cCi54Jp7K1wwBtVGREUCvlh33o2f8+nvn6M2jth7H4yCvMz5QJbAvwgNUnt37+ztYmfa4XG4CWyBMczNXERJ6ICWqAtJTswC4oGS2re+Jna91vcljmLgaQ/7Lvkc4t3RjVCdVjOMoNDtOe4cFABAosJPNntLe/upRU8F+PwRzLWNvIfYCBWFd+qGfDyY/fQKJ6EJOB0pwojTGTch5Cxt8r1ix4jFw9JpgEuZbqM6Ixq52/fZwiAL36hUZZ+HF0F4TSoAFhPuXO/aPQycE72PwkhxegNbw3/13P+Pf/68ifFjRWpHvT+GVKLh1qs8WMS9P02GksNyf4dxn1Nqwrhu8X2FthXPkMsUYkdIuz7N9oxvKxBalfBU4yb/qx0WejJQ5Vh+AMfj1V4f/0//xR46NVGsfD24It9snhLAw0Wyg8boPuFxe8Xh87UJGRbs7qcAvhKTM4hsz9OgcJMhhWWrfT/V3pXdcbPc4mzelFDNKGbZB8+vNP2sQneLgbf4ZOZtdrKI2ND1LNagVeIqB7Uq0SSxC5qB5Vt3UpEOhOCq4xaSsAU4SGTm8VOUVECn5XDsU/fQ5pYLag2+ZGE3M2ZWv2OR1TRuBvq5JXVM+WKRDBH6iCNQcDc57uNBQcmWl200FxUI0TBTEgwrtzPu+sZYQ3FIRvIO7co/yi0CgakNBhQf3reyU61ngl6nT0BqcJPya4MkXYdBX0Tu0o5M2iirdQkW7o4LIaJbBt9qcUCxDYK8dKiboDSt7Ynkq9NSB8nnu5rVKG4BZ9l7Hv1RChG9vN5RU8PH5gyIeMjatNXz8+sHKf3AIa8APf/sB9y8B96+hJ5elZPEMvtB/WoJRv/heRad3cZHK/Ib1InZTzqKWg+s85h6M9Xmh6JnJUiYdCXWrPZGvhUXcqh6bU+CmBY7mGASfhID0MU9QcGB0K0+vMe2JmlzWWjtEUgtz8/7X54/EL1pwG+rxFvv7A3GP2K4b/qiXdv+AuZtSZL6c7xl0/CQxba3CGkKxAfTi7/N5Ms/vb9+/9fec76sxZyht7y5qEtqYUDJ2mnmevL/UTgi9yz5qGgaAk5jtCV1gLdb1gn2/nwpwALrgo57/mpD2pCYzWaxN9vMSGVtIx7PWihCIxJv9sdkRjUK3GIVApfzMtirLsgHGIB6yV3omO/xcjDu9B4xRGgeQdloI1nxWNC21wkKgrsrNNNSEsM4Bceg96Gfl9xtqszJq049M4tHa6Vyy1sGGgciJ4jChXVfef9mHrYUxlUXMKcYopfa3qq0KzFs67zkjpQIXGpbNi8+vuDVUJ8mgxQLG42mPneIR9wRfKALkBjgG1lkW25wDahXV94ZWpCtcKlare2HoHXDrDJxfSVmRgjNjxzIVZOU+CDok+IKcYrfaaY3znYUdUeh1AUd8dETfx8evUKFJzq8s41glv8hC8VNRwArlj9ZSTsWA47jDWie0wuN/Pp/N2iqibtpyuOvmn2VDnzsh+mev3gMoZUCP2ClhkGQdFRhra1hDwOIcPj8eJ5JvThRM6ZVQGFgXEPyCy8sNl5eLCFe0zq349VeH19d/CHduwf74gv3YEQI3BHa9yI/ShDSEDTlHhBAB8dHU5OZyyYKLtvj4iKAHJQ2vl2VF8GuHjlGmOgEoCD5T/S+sOI4HWLVTCw5ir0NYcL0mWFsAMLhzwcNdLF5uGY+PA9ZmuHCg5orbBVIl2+EXVomWy4Yvv/6A437AB8JVrTXwl3DeKGqFtx5dor42NNu68I+zVBVenEMu454bUPSj1Iqmgah2DYTDmRMJ0ioCpFVyLUTEPeLj80dXoHWCTVfoljEWr28/4ccf/wX//X8QZbL1BcexCJx5weNhoF1maz2cXZFymsj2GrBQIn/bbh1KQM7tDeR4vqNWLweKh8JmluUiXdMPwcXv/d9bq9h3kTJvQ8DIGIN/929TPxi1usr3+Uoho+XSVXIN0OG0mnDqRp9jwvE4cHnZkCQYbK2doI+tDoGY50QT4EbpBPKil1oLeD/ggMpVmgsfevWul67fpBzqIpyISbDhT3QFf+5wDJjeZFFjLbbr1os+PKDGzdG9UT0dffdES0OltNRpzUoyVYfEPPfff2IVganT+QyJriPRoVXcJFxjh4enD5NqJFpXo8zipwtAfNtKD2JyQi8stdZwfBxEiLSGVooomDKgcN6dODUAAIHYGmt7dVmv1hhkPt53pJThD3aPdQo6Fzp8Vy+rVfh29nD83rw1Bj1p0vVgvZsKOIOXBQBtGjt9zfl1e/Jk2ZvhuagHvUL8+F/cD/EqrhLghL6+wqoKvrRCooclRaRqqEgfVIPNMWG9MSHy3uHydsXthxuO+4EQAq6fbmi14fM/fsX9/gvvV064XF5lbyS14niwEHp5ubADIYkGqRhUItauwfE4kI4kPE6HZQv9/F22paOdWq1dCGQeJz2P+g14viczVFYL2MYAT9SBNo1lnytTQKz2UXpfGEdoMY7jXgWmzYBMxW8s9o8dx/3Ap7++ffP5/ihXk7NsVnoFAC9e5HMCWGV8hi2JlQ6h7GEpQnmM+pzTrVXrk3ZO+P9ZAfW0plpDxff9nZ/XIgBRpa3dz3r+TM75rm7dJtznemXylvNQgJd3f+q+jjXPJJFWGeQxxo6WatK9tdbisr3SRSBnFp6lIMT9xsE5QC1O+Jr7NIamIyCWsPY9agkrYjqgVm1O6F1FCorHHvmZUpbCFju0rRmYXJjMacHRkA8/1E8NYapPnyFnQcfIOdXFhQZAofP+GWs4uCC8zdoQj4gSE+PHWgdlq3K/9pMgl8L1rTX0ca8qrjS8qFUvJKUd8fGC26cXLBeuZyucWxZQhe5hCmrzyPcDqNQIsI7nUElU0IYh5Jh0MNqt5Fyo2m8At3isncdN7Rd2IAcHVZESKQryE032xJkK0/C8n2nTRL00YzzIH/YBJhFKG/yC2+0HfP78rz0v0jjETLDz47hj215kfM+8aL20iOMcYbyt1i4M9luv3wGjbTjUo9IOYZLW1Bvz3LUEJLuGHRYKpYJFlAlyINWmVioNvL1HaRWPGKfBa12cgE8x8GGBcwHLsuD6ekU6CDfUoC2niP/L//nf9w00pgP3+1XaysTNL2HFshKCEONIQFsteOzvyJk+Y8dBnt8PP/wbbNtNMNPvYmlC8Y/X1596q5qVqATtcqg5LasRWq1IuN+/Inhi79fthrfXv+DtLz/QQ1QS67AEEUHghN0/7ig143K5CbmY3cMUM15/fMHLj694+YGT5fJCJVO/+N7iX7bhM6mbg8JbvWwO6lVXpwPIGtP5uV54DF74lklgnqqa2BMXrUw2Vq1Hp5UVcg3CreMG77QSBSMdzDuWZQEapcettfL7XVr+ESNpNzDGIecHVJFtWQKW5YJtuwmMlUH0IEsrTIGdXD/5hQ3lN4PL5QXbdutqcwCw7x9IYm/Rk7Y+78nHVUnqUjKO/QNf5bXm6zgeWNdLh1Czqt5owP5vfuh85pxYmezdhmph5oNvOqRV5vv5kP7uYZxGp3r+/RxcyA89aMxyYFm3nCxz/iyX80GGu0HJKTMkBaCQxXLhnC2p9G6eJn6DY8kDTjvESh3oRSE/uNbPNg6oQMXg7MxzQK/noKx7hWUaaFs4GGdGJ7UnnaZ3ptTkuwh3mXMBWC8LjAQAZuq8AsDj/SC3M6vKKcXlbK1d1EXFKFArKogsUJ7VsrGD5737BhZuLPmdKVf4NfTqeasY/PvCNVEilbCbPXcNz10QQt40cDyLABFipvfAuWGv8twde+7enDpxpZ0e09qAT2tVvJbWLaQ0edQ9frks2D92xIcoXXp2IRTa+fHrB2BNF23T7+GDx9/+/d96Yvjrv/yK1gqW5SKWJrnbnKRELQLneN6yW3qjDYZ8RxdcP3OMUCJKyjikOxt3JpuE9hrxCea8cf+kONXPCzuC9znpeE44IclLa+iQ3NN9mLqeTAQGRaHfD4HNGsPgsqRyEobjY4kyog5B/N7y+kNdLDSfE0vvafegNnX6n9qDeacddEmsSqUSba3wbi4UkVv5rISpENrnYt33OqH6GEziPvIP/d9HQUiD7YKcY4esjnXsu03RvL94UZ53gWIttQ4P6uPYmVDKY2shJLF/3lo71WjoPZwT4xh3IBmEwC7YnGA755FSxsfHF+ScsC4rbBcbZAJcEdnFzBHLQj93Jpqxa4G0KXEpSZAoUef2oHFYN1mXTZxbLfxTSM7ALlTD13icydiAHQOjMM1zxPVCJc8Pen4652CDQ3ociEIH815FhpoULARlJonm4+sdj48d6tKgSaV6lNPH/Oj73XEcMMYhPKiC7RyTRG1yFeFiGjMssmDl84vH/DThYCTJtN7Ja42xMZZQ3bhHlFQmEaY8oclGfKa0NCPFsnm+6r2huBs5xYo2yCUhxh3LsnaEZKsWWZLtt7e/4tdf/xNK2b9brInxwLa9yPw6eM4Ir38uMmvuc//4/GS989uu3yUQpH+W2uCMRVKvP1t75dUInhqY4BhS4a2lwAnUosujS9eyNSY3i/fIginvVUkhWutmoxm3MQyI9o8djw+SpaPRNrbDut1wv3/Gx/uvgLFQSwwNkFOOgLG4Xl/l9WzHgYewUtmwJCzLisuFBrusGGVs2623t9f10hNN5fz9/PN/FHXTAmMcrtdXHMcd1+sbnHN4f/9FJJ1povr2+he8/fQJl5cLVf3W0IORsAYsa8Djfae/XXV9MdK+xMMvAS54dogruZesnti+aMLCQKBNcDGFys33uTX0xLO1IdzUKuQwMsJZdWL2a05Jkd6bhrHZGDdEnpTDlmPuwfbt7YbL7QXv75/5OWpFijtyToh2RwgrqHK3i2KwAyRR3PcPSVQbQljhXBAPzCAL1PckktWv1KEwy7Lh9fVHypvbgFwo5EOpcamomSr38Ip9pwIxSfsBbarOWtu6Shx9jy6StHoc8SFwH9P9Og0MasnIOeL10w8jaG4DWqcBWs1UNoM1qHF0Rea1aZwFJmhLKQUOrm/QrTV4N8ahNcKfn9f5qLSeD8paKlLMWKWLbV/tH1o043/o0nX0vcDICaxR9y71NjWNVWAabEtXTzp8OZIf0g8fTS6beD16Nx1MIwivqECeOIMToXD+TN+u8xGADwsWSZQUwmuZINcinSXwPf3q4RYHQK1RGuhoYNFKwf7x6DyZsPjOC1SObzqyVJ05BikmQCrqOqdyzAjeY9lWpBjhAzuXcY84HkeHNfZ6CNpQP2/qLYtTUqfjYAw6KqN32uzgED53Ljq9wMm6tYBpZgSj1kyqwLK+NEkro2j63fviLP4XP/4/4O1XVu5Llco/i3IpF/zttaL+rxvi44AxQAgeTsaJlfN0UmUFgJ/+3U9YLj/j1//4M2JM8P/Gw/1veF/3/cD9/R3HsXcIqpXiozGu+0qvVwrOmeBgQP6lM9RYsJbnwH4kijd5CwvhVYUAE37El/h/wHJZuH9JEKqBmNoo6fjOcL0Zoqfd4RP/WOfxDLGt49zRYs3spznug6gyi5dtTlkKianveaWwYOt8oI+ocLf+yNe5E8mfQ1hGHFCH/58Rcann55dSxeKtoDk3qb4KzNko/PXcWdH3PZ9rhOl+u2/J55C3V5XR83cYIkMli3iWdaffPyMRXKDfY2utIyr2j70XK1orQq06FwyZpDsAhKkyofD9cc4x2dl3dikvl5cTDUfhjK01oW/t9M61lor51sM5Fr+t5X6p9itMIMaZQX/3cU4c9yivu3dopRYBmFjOSv1jr+uCXvodfIMpZjovpjUpMTcbB1Y48UDJLFRyn6eYW8uVv3cj1qmybo2zMLJHxEeUdVl6osm5RGEmGIN1uQjkNOE4GNc7Rw2XUgpMrbAmyB4tjSrpcjrvyWFVhVkRmnN+CPY5Eb0z3QaGKLNShrhbOlL3lN/vO65vN6yibNsqWzXWWXJipVlmvSDOnorHPfnEt2e2CvhcttfTmlGRoLe3v+DLl3/gfv/S578ukFpJk/DS2OrvKWuRjZkLXl5+xJcv/8DLa5Vk84Lfc/0ugSCep63z+dQfSOGXMKbzPoCpKwKK1ZDTw+BIeRTOu364e+fgrSSxtXWy9v6xn6pdrbJ6EkLA/+5/+3/F2xsJ1gDVZHmoWaRYcb9/7pM1ZyaHwY+Km7Ge1Q0l2U7Ko6Uk6XhahPBLn8xM4rzALBNC8DDmX08elUc8UCuTFmP+A5blgtYqQlhFPKj0pNcYj8vtA+t6hqwAoJqYwByOj737ZipO3a4LUBuO4wX/t//7/54dxFS6hya/IxPD5bJIq5/8FBqd2xN34Pmy1sL0aqbplTtjaG4eJUDV16ligNsTJ6BXEJ1Xr8p69mMy5Ai8fLrhePyFtifLBbVlSdhJXqY3lFQ/rYEzvvMdVTBIRaOco9CTlfvr3IIQAlJKKOUhHe6KnJmMrUugnD+8dEE/EGOCcxZhuQgUmwlkSge8D0hpFFUoR+7YRbVe4DG8b6Vxw7zfvyLnjL/8tGCbOpx6v6+fbogPKpGWXPF4f+DTXz+d5r33HtlmYDSZRjAwq2FOFWINJnk/R1en5nLieM68p5l/jaawTwzugVRKZ+7hn+miSvRAdAASpLE9g2UNCIvv962kzKQSFs0MsTTnBv8tp9JNszX56TzPyi6L3hdIQH4OxPjnCbH2nQRnqHT3bQ/P6rdzcYYPGG/gvEfYtFNQAUgnwVaUSG9kQtOkEp6VZFPRmpsSdKDUjCZCcWEJuLxeenHMiO9ebRVoQNg80p4pABczcIOIfDDhrbWhGcCBvJ4eC8tYjUqydpQnJeDeJPlOQqP7nx2dGX28MQZNO5iScDbpuJk2RJ76Y59eXxPTdXng4/FDL+jEPSIfGbVk7PeItEdYa5BykASPgVP/3FLIy7mIONWC5n7A5192/Mf/0PB4HLA24fryiuvLBuvfsL78Fbneu6VFFo9sY6xw3ANSXWAelsltL3DaqWDJff04InCI8mIk3+vTp88UO7NX+j57wuisa0ix9H2c+8oTkgIjmH+2T5Nbyr1smtO61lobIliauFbxw9OzTpNQ7XDG/ehngjEs0DbpPvROcyrffI4/0mV4Q/t+pEbxzlkcuXb0xpx01lZhe0zAmJC2OvZkLzL/yb8QRmtgRNl2gjlDz7ERp+lm1c8u4d9p8sX75k7zR5FlzbSuwKp7lnO+C7xZxwK6wjaXVa1eCA+PexRY9Tg7nXNSdHZwTvjdiZ06vZxznbJDv2+LsWdatJax7zta0wK9BeDw6dPf+nfUmDVFWq4ZI5SLxnEqJbMACAozMdkU9EpJ2B8NflmmWNOw6K33BoMKZYXSNs8D3irCdin0FhnPGdP3tV6gNKSPtNqQy4gTnff9bOlrSGKUnOgSYMS2qpWCVEgRgCHfnp/Tok0oHmMMciF1qrUGN3mwqv5FCGvvQFpPzmWTxJ5zbnwUKtG6fiYwYWZsWEtGrSLeJ8V57yzcsnbLF/X9jA9RqfXutF+E4JH3JI0bPTe4tz0XU/qfT4WXGPfO1ayCkGytoRQWKS4XJqLH8cDcBKmVGjbq26nj1++PC3h7+wsA4Ov7L1hXJvFL+J8p2ewKtKDog0IqOXnPMD52wQZ3RquK1mnFHj1IsxKUGGMQnCP/U6sn3iHttNEIgo/Wx7rgsd8feHtL+PvfV9TKjWldLwjLgpwSjuOBWn9AawX7/oEYKwD1MqKYR/ChwwG1uvp4vMM5gKjhFSEsHW5Jv6OIbb0il9C7RgCw73cYo+TcDTECtbieUF+vr7jdfkDOm2yUpptFH8miGN+x6dbZ7mnmi0cD8PH1A/evdwA0I1+3laq1AH74gRWN9bpSuEW4RlYCXjfBGrRzBYzKsPO2G/2GJ2ik8jSpkDiSGd2s9ZoPemR0yBUsq0Q6H1Re24tAUasNOVdc3q54FV9OBjtRbGGA1g4JgG2vUELgIl78K3l/VoQQECPh0ojAum6ErcDi8XgX4jMhtGqK/nH/LMWE0LujVBIO7EZ7j5woQnS5vMJaj/v9C3qVFdJtcEGSs4qYY7dBofItK1QxHXh5/bEXWbTbT/iO68lejuS0JjFMZ5d4FAfmTsC4tyM5bLV0GN6pag3eI0UUPNcYRqcHvXLJzpWoSJcy+GXfEQH7M1wadCjaQn/WSjDN7t2pq9VJ+1J0M47rXCFHCtcjl6x1vyuVbR9JYj0VdObP1FpDS61zaLTLM19EmdSOepi/i65XhWLrnzMXcr2s3frAmhHE5JzxeL/DGMI3o4ldkOp4RBbIpJulMHu0JgmSFb6MCKY5AxesJNQZMBS5KIVVbb+EHiQpqgGV++LJe+87BTRK9wPNDvisfMmuevh8n/tzp2JrH895D7QiXlv7C/THdL5XHYqNpk5Jby8TsPBabUFOkPlBiFYWXmGKGWEBbPC9OKHCQWFbsG70jv748gEAWBYqen98/YLHxzvW9YLr2w2vP77w/nzsuL/foR5/j8dXXC6vCNXDiEAMWkIQjtK87lsDttvaxeF0P6ql4fGVZ3fAguobwspuQYpZ4oQBO9TA8DT+3+tmnmKNU+jREw8N1pRn3D+Tzrvp3lHdcyfc0hGtMncXck6ScHyb9P4RrrnDN3crDWgT1xo6bLFVBt/o3UHX4wnuAbEH+w0VeOpM9nGdVGj7Nd0XFUjp7cunLiofPkNqR6dMv9P8uFwSvBmIOP2PxQhSguYYqcenzskZXkhd0SS7auIjsarxCAHIicJe67oS+iqfbaZD1Dr8vYEiCTphsRSBWaTjxr2tTjGxkW4mu5VHF5rUBHgU1IjgAoDVbghhhfd6DpXe/eStGONuZe/X2KyWSrqGqb1AV20dvpSeHW49B60gqfS1agVsA2G3Br2b1yT+qL3jaGWOaVwcpINJeHFuiQln43N8oB96igkpPVjgXS69SAqAvHdPhJEKFtU67u16GSi/1khh0c8SJjQeH0DdAWcFMSjxbGsN23VFygU4uP8dj0gXhkkYyMi4tp6EnxsFpyKkke5yHU4XjPdyVwdmwUdpbw4ZFsfBs/fTp7/i/f2Xvg4BQmnXZet7o3O+dzWv11dcLi/48uUf7KAeH4Rxr9dv1tx/yfW7YLS1QSpRcsNKpWlsMx2yZCbZYwATjGVU3OdNW6F/GheoOpR23u5fPsT2w+Dlx1dsLxe0WnH/8pAbEFEKIQveL1jWFSkmPB4fqDXD2QAYJ5wUKs5q65m4mwXrup6CwZwjYizSIbMCsbkjBI8lbFhXVtznQIQcwkm2urKdv95eoeqm63rB5fqCsIUe5NjARescoUf0b6rdg5KVY9cfu2wBJXOxu4WJrBdBDQBYthU+UDhDobVBvC2L4O51A+ubrgQ6nLhTZW7icOaild4xH/TP1qbNQzYoY0yX2AZCFwOphaIbHjQaZlU5dvjF9dMNKWYqx5qCUjO891iWKxXEUpJqYcZdrEWct2JRoqpzhP7opqfE+fv9s3h4mm5F89zNYzDC4GddJj6vVL1rqXDe9yT18fgsz23Iee8VTFYlVWFN5xIhy/f7Z1yvr7he3oi7l3uQIuHTKs4SDyXGi39nyrSxqbWjkDp0rjzzpRUWZzAfkP3+SdI4Nj2Ny0f1tncejECipQtQc+kQOL9M1ec/ycV7/9TRfArYtpcLOSR7koC3wbTad2A9fIyhgEFOeUC26jTu8jNtM4okLYOXNgdNc0GhVsA0wNIs7ZvvMGTaWXzoKqBWk0x3hiBWCvzY4BBaRY4qcy9d2VyEp1lgHboATs4VLbNSrVVl2xEi3FOu2wK/BmSBKm4vG+ejFP80wcstwVhBnWTCaF2Q8+Y7tiLTpAYw6BwcQwBSwFGelp5dOpZnRMBzYv/0XvPlDFxTywMDgB01fb0etE2BBIygQ0TZEwHw1Qs9pcEY3nvvLZLYz5RUsFyAkjO9Mi8rlo1CF4+PHetlQc0UCVEYHRqLxfdC3vqyBTg6puP1x09Ie8Tj445dfDtTKvAVaEE6A631hHOujhtnsWwrOx/KbwrsOh33gwWKOhAtYfEomZ1YvexT7PDPLiPFr/lnI8IeemOeVWd5RrWx2YFro1V2LlV/oSdAxsA0SHBGhfCa/5idzV6kaixQwqq1hOmiP9ACZ+dtU9XSOVrJKf+Lnn/5mzXx7If5vfdn8F6me9YAsS7RA689dUvHYwDVWPjexa5sgRHrOytJSEkscGhXszcOxH9d3gStZbQmirJFunGS4I1ikYOxBdtyFT5lORU3nDQ1NG5NKcHZBc01ANJ9bEAuwss29B8OYTsl0UyAgFpTn+Pq3w7Ybq3ihE+rcPsUs8QE5Hw7a5lYege4MmgA1sJ5sGgpxWoVfvSLJ0LBqe3Z6A6nqF6jSsFRsTlapJAalXqhei4G1kQ7tabCRZJLWHCPws6OncZ0qvxeOhLRShK14HJ7gRd0h/UOy7ZCO8q1NuSYkGNBKQ0lJRQRB2Onmve0LKQpOGv7fofWAFFUV2uTIp87LEE6zDwnc0zwi0c1bLy1Sgup9qACrjGajOsedW7YnQtqemYND++cI4wZTSHnA2yhxkwpCS8vPyKlA/f7V+ms72NtyD0y1gqN7Cccxx3xoBBqPPauKP17rt9nfaKLxo7uCoDpZ6lbjYwEs+x7LQ3O4jSoAAPjZVtQausdVIBcisf7LhPLnDYChTYM/D3//Hj/QsXMooToJN2xjHVdJ3w8YRaE3S5yk6J053TRsHKn8MtaK2pjIqQ3T2E39C8jRBaCLbeWXTJrLULghCeUNSBLFaR7jzZ0qxd2sFznKNVCwYwQHHCh4u12Wen1lEQ56kY/H2MAmBlvTpUsay1yI+bcbhNnQXg6zhIa4Wfj4ta3dvl/LiZnDUo1ULuHItDZHpi50TnVZKSW0v1S54BZVYxVrGHZFnz62ye8vv6I7UJ1MQr8LHJPinSXxczd8/chULSFcBHb4STLQisbKtlSaIiczYO8HIHasJvpJSn9ld0Tz3vXsn43VpRwUHFPO8HaRWVVN0IhDDknqA+sQh4gB+vj8d79PvUAUXGl9bpSUEREVJY1sJtVGlyAdMKlCmeNWC3gtM642WtnbPCjdb/RZACYq2zoj+9JzMyJ0nlRB+/pz+izybEBAHPakOdqsSpyljyqkyfLh+lgN4bcj8f7A1lgOsYNKx7bFIJUO/piTn6eA3QN3igkAMCcbT4AoMnh5f7J65CPAwaAE4zROYvmHKxvqFkf13D//IHjsQsPm2s959p5lOpdaFt/M0KXwuBzhm2B874n1raKyqUlRKmVCtsMSs4I64LLbUP3G+1FEXYrMfGqZhuu5wSp74MqFvI0ljOUbI5jvbXIp/s41spYP+hBtBGrFOCcxM5Fiv5YY7oNlQtSGCxcu34N2D8O5BhRre/JkZfk2HmD/R7lnDOEWD12qYjzzPF+xXa9AbXh/cvXbqm1rhdcbhtuP7xiOTb6y+0HqvcIjbDp40F+WNgWSZpFDES498u2UBRKIKg1V8QjjQJWHXwn5znHi7Wn4oeOZ78H2mGYN6mpINbndTt3MlsbHeV+L+S5VtA7pWbkFPteXevQlYDEFa1xb56Vvf9oV082TQMk4XSO8McTl7YWGDnLWKgSWKjEMOoZrY/Xcf9eEjj/vs8NuZRvqxogQwSNCSOfM60jNNTGeFAT5Pn1Z0sVaw3C4vH20ys+//1zh4dD4q7a4xpNcAWiW4cVS2vswg3EAhOVZWEzROlX44wVbQun9jBHV7ClgiwhtFqQr7UiBAcjSVpD64q6Me4oNXWIrZ7z3i89+ffB9z0TVbvIhMi7wHVnDMXPrHdwBlguSxfTmT0vyxQrKP/QSrKp3sG1CCoG4nCQx56p2hREaBEhR4uv3OOa2hqck8jZ6NnF/aO2ekKxcBwKjqMI9eyFbhDritvrBS74fu9dYHJcsqCyUkaOBTnGrhuifF6dU3r/Tco86yTOsRJTt8a4VoXY9AqriAclCjIZa+S9QcVba8jXTAM5Qf7maALoxTNgFnRkF72ULFohbG7Yjn4qgszzyDni8XjHslzw6dNf8fHxBcdx79YmpRGR5H3Ay+0HWOvw9evP/exMOVJIqP6+4tpv72zKoValMvqNCJB2zHLt0Cu99PClMMbwqhm+hkDwYqmhSY612O97F8zo75OLmHxr5m2wLBu7CMeje2LOFRbdGJflAgQIzxIwZsGykJvCZKUh1wPX62vfYJ2jWAIhEZTDVuLs8KEp/XGXCyd+a+jQSSqhSYcSZ6EDY4zApDRxZaKo3pnpENEdUb6CUbiUQ5SxKYW2NK1WQqguSx9vhejlmJGPJIpZAyY3EkjblbKCc0jlPNHOsBQgizquXsoFHJh6SFVp6YqJM3yFnyl18QetDrbasF5WvPz0ir/85Yqff/6PksjPwlMetX4AMPA+CFyAr8sKX0CtHpcLrScej8/dJmW+loVQFyPVw+P4wL7fwUqpRYzkZlLoJ0mHmxt8zlmqmvQGTfEAkOTfWf3SQznnhOBND8CMMYhxx/3+FT/99O+6HLceMprAFQnSw9sNx+PoXeNOrq+jAwNLP0ce+KO7bJvtj7HT87qQk4y5Fovmrma/t872DoSxs1XAOen5M119nJ82ZGuZuOgaVMsFTTSVq33yvgTXgnY2a6lYtsAuoR76Qjeo6pMbHHxzmEp83xT/eB8NOdfTv7PjVqVYIN28SlivysA/f1eAiTEUml0M4Lk/vn99x/E4xvvq5xDlQ+c9wlql219YHa4NN7H3YOCvwYwUwISLpXCtFGX+BY/lulIR2/LftTDYp2wvon2raqrf37qxJqw/Q82Vf6575JSjyAs1FBmz0+vqn810/iaFJcTPzDQR8Br3i16oc+JpYX2FqRbVke+ENtZca4ANDr4sHAOpkN/errRM+sjwazh1akrNoNhZ7cI/5Fzr2UiebTweOPYNt5c33D5dYT7dEO+7WCaxu+4cO6vYI4ubVhJ9DZ4cxVE4v0ZXOO6RlhKQDrMRRWRnsawBsUX0JTEXBzSJ/+YmoH+/udA5xyWMN+S8kXO1ZB13vn4pFUnoDqz4f9u1BYD4OM46A3+ga8yDUdRXIcahqjrs4fgctXgaQkFc30Nk6bvv9QSdfX7sQBmVp7+L1dfpjKo94ezCQzgjTvTS2MZaB78EFnSnRggAogu8FZ9r8RKexIFq+xaqWwoLOyEQtVZrRVVBBdgu/INWUKugnHpy6AUWz3XP2GXFUe5IkZ6ZtGzzcHbQvEaiWSmCGDZJ9ms/k0olhWPEsRZVtDusI0zVOdP3+gaiWTSO07qOsRQkpFhRPaEP9N+tuJdY3Xdh0NwY096QKLV3+Uop3Qok7rGLcVnZT7xnl5daMQbL4uAsOYl+CyhH7oX85boKspEd11ob9vcH0JhA7++sPTLuyoJicTClSRGiohTOd/WpbM3JeUdBumUNKFkLait62NOLIK3vzcY5irbJHmmtkZxJqGOTDZPOI8D0ItxctOZbqF8yUHKSdemF8kC7nYbRmbXGollHG5hI679lWfH16y+ynj18WLCuV1xvn3C/f2GnVD5Da02QmmfxyP/S638S6UiFG479f/IAAvqGZQy6kpd273ST0OAWOCespdYuOLS/P7rJuZVKvx4sAyrgEZYFKUbhaHISlhJRcoMPm/BLli4aYxaDWkXsQPDvBsQup8QkT/HOTEQ3kYjfhfs3bzgO23btm2EIK5Yr+SsuEPO83++ywTTEHcAhNyN4bH5FWCkYlI8iHkNBDlgGeLUm5CNR5W9h8BEftN3IB6ERwVMuWqWnwxoQ1gXLNqTL1fM054zVLVj8UKJ1lvYmQUQnZl5SmQ5zY+TvGBALldA2slnXKYhQqeheWJBD3nnhpKo6qh2S2+mgXcHrD1ccxwP3+2eUcheRnw3bdpXg0HXIjrOhV6tZ1dlkgbIgQP5CgjXa9fRY1xu89xRpgenFihG4FLS2Tth3bko6Z0suKChU+V03eJ/6ZnE66ASygKYVUR7s+/6BFA9c3348rSOAnTEr0NoOtxReU6/EQueR60mNJg76eq2QfD9fqsQ4F4VGJ+YZojSuRvSOeKomFhv+hJzNsf9J9d3a0wGxrIEduv641u9FzXXY65QmfLgiapdJ1qlUdTEZnOcmUvSzSEYbZ50E6M82IV1IQ8S55oSrCRxb6VB9LxC7EYXm50TVaMwHoHMACvbHzo5sJJfyBD01FqVlgZzR+1H5mdzzGhbpcGmFvDXAgvtFKxXZ0Nes1NoTYf1urVRRwdbv9O29Ytdz/KxJiJHiFm9EI39ThC+cIfGyCKpkjJm8DiahtHnMpWDUWgPqEIKY/2Ojea5Woxfp2F1taM2i1MJ9fDM9WEl7BEzrljNF0DHbywW1VHz+xxeUlHG5beQrLbSF2barQOYV4SBWWjl2tVGACI2YduCdn2l7veD66Sbeuhm1CnevNqRcYI+E7eZ6kK/Q/WVbGPhYRelIZ6E0uElARQNOtdBq7aDS9jR/NdHse6NsUjo3527YPPd5zylGVCtpANYaNEn+u+1JLqB4YIIJozjxHPDFI53e6490PSdnDQ2mUYn2bOHBfS4lnqlc6+N+VeVzYoLGtpFePnc453OGTYZhr8LPIXxBoJ+pz4mpQmhrlaDcjK7r4DKyW2cwkAzLtmD/OAhllMLsujBpSccQgsk5I6WInFmAJs+dcF6Nd8NyQQgBOaktigct7sTdoBTGm62JcixjFxUT0rmuIj6j8GX6e2qxnYkR0V38buMeQfiS2hHkUHEsw7qgVVWK9r0o2uGnosJKuse8n7W+rwFDiKsKl9E5I98Vsv/Ld4DqRvDcypHJMalcrXdbcyxTglcB6ykUujAZBgDj1PUA3cEgwcAK2uD42NEaxMGBX1nt2fwa5D45WDvmN/o6l6QtkRMatpWIvVyQDTuYIThpBDSxfDK9MGYMujgbC2ji874w2Y97wnpZmZRW0pbCtoiq+Jn+ovucNp20gMDHSJe5qp0i0ZVojUJJOaE2dj5L1TjBdPtGul54vL39pe931+sbai3YH++jeCTvs+8fJ87nb7l+c7JpwANPk0FMCcipYl4H5/J0YEzKgB2CoSIJ7myzocnm433vrerr66VvAAy2qe64XhZ8/pxxHORophSH12apqO2BIAlna4W4etmA1K7EGIvtcpWkdZGkVaG0HtY4FOQO0cwpwbvlm8nSN9w0FCNLKTiOOyEO/gYYStWXvilLF9AoxJRKWU4GrERy4/b3HSVnOE8ie82VE682uLB0Tp0GlGHxPZkoqfSqrFZJZvjcnFhWuV/l6WBNpUww2wJvWQXT//QlfPColhUwhdA+d79KzkOpa0qOLi8XhDXgl//vzwBYlXr79KNUaHbUEntCqR5A+36Hc6FvWDEeaK0iJYPgQ59LTRXvjIGHRwgLvCQE3i/Y93fs+70fnsDo9OV0oNQkc8b3yl9VtbtG6Mq23fD2diZnqwWLzhVVymVFtjC403GbxlzFChR+aKwl5w/o3WqO7ajsE7Y21KA1gNVLCzwqaz5f1s0dTvR1+5xw6r9V4TrNn+XPcQ0bjHnfmwVT1it5030Mu4WTwKI3gYQ70+eTcsIU8TEndyoOpYbWPgxp9QoA2jmbPhM/6VkNlUnQKPg06c5aiAKfdqk0qbJmOpTtkI/vByHw8csHO1TWEAKsSWwbtiM1Zdjg4Z0VqD+hRv1zGsB56eo5qpvTj5dFjZLbuTACMeee5zaaKNOif8bebdM9Twtekw3KfGl3V/2FewKsSYwbr3maERNczHrHan2tHX6ve7L+2deVaRTPcO2kf2KtBXyTZMgAC3AxGwtij713eKwzWK4brLP48g8K/0wvAlW1Xi4Lcr5g378ipSQFtgBbaRpujMH1+gOco0CQsRb7fsdxPBAfLz15rbXCVTssycTSJyxS+FA7hCYWDFNiDwDpiPDLFaaNDqFamlHIY2FxefKsbWg9weS9kECsxxEjAO7zVBKNalgMstaiuYaWx/zl2uS/k580OHmaHvU92zjyOickzx/u6gqpY9ydC52TPXca0WrvaGoCygJ/pp0ctFtq6OcH15EVM0Xj/PZTUa4RtsnHNtjevHhONAcaQH+nPuaM8Xz/fAC6yu0oasfTvqmChmlPiPuBZVuFjlUBiHWP9zDGSxJdAPEOTfkAJEa08FBa1yzuUxsFXoJf5fxHTzD1u7SWOzUIkD3FcpxV1V/jVqVTzPEn9xg7Ic2cJIFsBECKytDxlEaAdw5qo2VEPVy9hJVy03UgdP9R6Clsh/ryc4Cxr3Qz+7rRZhQGstFuFq44IuuCI3TYub5XwxiUmHDcBZovyuXHfki8lkUUkror7M7xHhMlRJRZtQam2SEm5yyQCvziUKvvHeAQHHKuqHI+BfET1jPcWNMtUGZ7JnqGshNaYUkNCaByuvBduwNHcLBRmm9t3DuYb9XKR6FNIc1Z5riH+nFybhFVUEpi4Uzmv/q855xwHHe8vf0Fb69/gQ8Lbrcf8K//+v+m+F9/OxaVUqSf/e+5frv1SRswWgA9wP2elC6AnmD2BExU94gwnDbzUrFc1+l3fO5xP7rXznbbYCxhBs5bLNuCZAgRraXi8fgqMEluBgpVUz7ksiygLHbplQ+A/kck3AKQSbretp4gAgYpHVAYRR8LwdkrXv44HtLaJhyW1SUGlhS4ITQnLAE2WFhjYYtUDLt9gkJohQf4SF29V0V0jv0Bax3WbdOuu3RRHGoFjseB9UpYqAZ1KeYuvuODeHIGLm5nLbxWLhsVEDXhP93LRoEOOy2G1kh4jns8BW/0K/LdEL6KCrF1TkRlWoet5ZQRBZqRjoR//Ie/04jXDy+k66cr4vETPn/+V1qcGN9FeJbuexpRq6riDb5GysqLJY9DISyjk86q9tevP+M47qglyeHDqiJhF0d/vX3/wOXy0ueYNU7uwxin2/UN3nl8+fpzP/g41xzI/136YaKBUS0FkG5lzfTMu+CCsKggAeEXsQyfN+sMg8VCcnlfhxMc+VRF1g6MRQ+i+4LDSPj1vtfytK4FFsgDSA6SOjq9f6ZL1zMA4fNQGVUhV6so0TIYpxqdHr4K7XeeUHjrmFQRJi28DkkUjFSLNdGstQpUmmvvmUc4PpTs0SrUZdtpz+VDBhqFAfxsBcC166wTGOykcgiiIAqA9JFF0XjwtrtgUGQVd1k8ciYiQxX6hodblWIOu3jGVMKFa0U+OKdTzB0S6oPv0FEV2+I94Jz0zhAeZWeLAktRIW96An+2PDkPIKGi7G4adz7zRmFQkqApyQTIe8+VwdDsoabQM13zkI5fLRVw7GRaa+GdpW4BAFMbVBDKwgHBYNlUAE34trcVzju8f/7A/f29o2s4tqyK5xhFCZhBsnY3W1OBMBY8rLe4La+IEsQB7Cbt9w+KNl02XN4uWK9r78C31pCOCOdt9yXU4B0A/LqSPyUBdzwStheOi/rO6jyNpcIHCtnFx7fiFM/xxZjqiuaop8f2sQ4erSUAos6u3XrpihA5lXqiwqQqnOeGFEfi44/tszkHuiwAhFEoSOzElFPnckBAVUhpht71e2MquYfftSchPPfbruZU6OxJKKE1plXADG2JWSAIwCnR1IufvcAgYtl+QNb9iuasHWF1/3rH4+PO95vONu+HbyY/X4FzC7wLOCL1IFptKCjd5zhnwDueFUk4mgCPekX6WeORy/DJ1E6l8j1zYUK8rhcqtsp+y3EbTZFlWXuCq8VgVbZHayLoM4kgTfHabH9nzdB10McaYyYhT6E9OeXHy+uEQf1BOxcFNA6Hs3DGwNcKc1nH/U8ZuZBfmmKGcRV7HJomeq/chEYxxgpdLcD7FeslwC9U7GZiPeaHCmzq39MekYUnygRQLMisFbEgotXc4hmbS5G4VdJb0pFw3A/GqpYCQs6ZXmg1GOerWwJKJH2N48y54UL4btF/jLs9rYPhHsGupKIOip5nWpgutAsk/5z5iTZiuv+qWMi0VnG9vuFyee0NHSaz7JbOnpy/5frt1if1jDPu1ZpceoVZD1BjlezNLl1OBcFa4uqnQ0M5ZM5YlFYJXwL5gMf9QNyZVITF43gI/3HhBrheVxz3AzlV4dLFU9fIWo8QFOpgJVnUmyKqX+LN2cnYBiTvGkt4ERjYABBz2aFYaozBtr7AeS8312LdLt2D7HhkZEkOWHXheK2XFe6FdhZNWu8qGe+Cp2BCqTCOVd94ZEoym8ERC22B8L2RXIFfA4J3vUqmpuiKj7eOQhPrKjwfSABVBd5m6W8aHKvyudRTxa8C/Xm5FI1lObYSrLhwNm43hlA7ChVJx6JatCwHvmtoR+2cBvUwymJk3qS74YPH6w8vaA348uVfkdIuBGne62294oisCAJu2qxNLxoY47AsjnySUsT7VKqbKePYP1Bq6h3lVgt/dr7DJI0BvPNIcUfO7GIqJJbzSw6YkuDDiuv1DfePz5xLfoEVYruBGYmvVIQf7zvHb2WQA+mGqcH0zGtplVU562gSrEUNXVOsSDsYz/nUDxKpUrZ8hp0ZOxLR56Ka3v/viQSpd2RJf7bOplbtpXuHc2UZ4Bq31uIQ1b0q6/Cc/AuHVgLZtKdecR4PUpGm2ivMrTakPSFvGZtZeyX7BI/VKrQbsNmeKWFAbgEepLO/+ml/fnpNTB+vlYp8JCxbwH4/W+hQMTn1A98vFre3C828JSjRwKcnsQJBun99AK11njekAl5KhVtG999dzt1J7XLpbzTR7Nx0I4WY72bno+vig+t7nRkbHdfVFMyxgi5rxvBxmmiqr1tLuRcXVJxLx4nfeUIoSJJsG39OqpzbRofVrx4Xc8GOnXtrcPj49R15T3DWy9546Wv2+NiRjoySM0wIWJYVMaKfkUtYkYQ2UDMT/VoLLpeXTifg963YHw9+Tmux3TYqycbUCwLOe/jVSzddgzwmobMH5myXZMxACVTZx9QPOu0s6M5+rX1+Gu1sfnsfzTTdAXLVsDCwc8EDpaCl1jvxDHQ12ZTAfOL+sYPAzm06fh+s7P+fLyIDeOl5E8LaCyWaZBpj0NQj04SOGjCGfMKctRM4uptcL2cUnP6s++jMf+ffWQh2zqOh9iLLOAcpVMTPJEJqQmdQW4fxPrJ3olGjYwnYP3b5rtwnw8bC7vsv79DmAvcTnZ9jjyjl0WGspY7km0gzJi8Kf23t6EXl1hpyPqDduFFsVjjuUHZfwopSM8KyUMTSO8K/pdOq61cva9WCpEpcoUXKgiqKuS4wXi+lwbaCCseillEkR+0xuRZPFXo+225pUt85mo4NFMZPGJx+aQiVrOrqXJdEqxBaS4/fKnDaCTkDniPLGnC5baffp1ywGCBn2xEyuufo/uBF7doadA0MTabdywWH+JlDNU2yWPyIHoIT9e1SiWapuZKKYi2O+44UM9JxIDbqX9w+XUUQKHTUj3a1jDRTwhoYyxdaGuaYTiiKPl+rzne1axnaGA0NOUeuzVMxZUDEW61IJaFkB+cDSk5IOXaBqZeXn+D9gs+f/xXH/gEfFoSw4rK9wDoPVb3tStS/8fpdPpsq4KPy/AArGc4q1EL5KugV+a4yV8kd04NWD0SzCNwgN+h3i0nb1A3bjTYDSqq11mB5uVA19MsdtWTpNKnIBJPAGe2kVVxrG1RVjB0pVRPlxuP8aKev620KymSSp6O34Zdlw+Vyg1YAqQSo6o8Au02ZnTbhP6zXBWFhYrbdNtQGpJ2d01WCqyJcqSYQBEAUq+KUJGjXydnRpQ0Wrz+94u2vb7i93fppu1xW4vS9J9HauxMHM+YCeFbnFVpbW4MzozugUzrmjFx5v4P3KK2Sr3hZJLBYOqfKWvLEtJq8XlY4Z7F/7L3TGnfyYNIhY74tvQrlPeEV1pNf9PbjC/b9q5CZE9Z1w74XbNsLlmXrYkyABppODjJWd9b1Au9Dh8oaY0+JpsJ4ACCLEAK7muQHW6MQFAm+9g8h74/3A3JXvfU+YLu88HPJWJKvYbCsFyrsWvJFH493bLcNl5cLOzGy4Wvy3hq5AuRuMSDSIEARBqx4Th0sFUiZ+ZttQGPn5FUV1uautbGGB1Vl0IsyPVY6ArW2Pza07J9c2o1Wc+y+yVt2sNfLIoIqszKjQHCm36kiYE5ELgBjb+yvKcnGDBXMWQsyOCk8AzhBmVolbHz4pZ7vff8uCmErND5XRUS+vkEr3xYcUhwKoz54HB87A7JSpHvIyGK7UUytijhGq4SDNVuRUyWMqdCHc7/vaLnAiC1B2iPCtnSVbgBIR8Ll7dJVR511E9SMA22NwLDMnMzaXnh57moSAiW/g0EWyoAxBrlynFttaLaOribQE0tNIDWO1uE1zhIjUeZgYg4u5LOIt5wVekirbRQMW4MpfE9jLNarJj8Vxx4RjwS3eJjdwvsV3i8wxpLnqsbzlknfelng7kGg9zoHBXIYJkhca7jeXlBbQzqOaV8siLt4911XhOXSk8S4R7hgpSuuyTQDaFW7BdBh5DoGND/P0vkn7M3LmRIf9J0dc1UCRjcHZjP0f9zv8efgzBtznvslFRz7LmtyWquziE1rHZYY93HG/KGuNp8RtcdFy0L7prhHlJK67YISveeOCi3bUncB+KYDrRYm/S3n95zOrtZ6N6fVioIMhq15rNkJTaCXopoUYs7XHkVB7Q5dX2+S6KROQVE9kCIIE+4DkiBCkzf011jCNoR/+O7Tfs3u0vDHbHCWXS3lWipqylra6qmNihbAARaclotYQIEINcKLIUlr7EVsvWotCOtC1wJLj8dciSQDJNGstKKya+B3FiuPOiW9userKmv3wp0UYSlSFnrXsrXGfUyKiMUotYJOEEW4llUE8MgBbzDOIQQPHxSui47a8wtjZk20daq21tC8w+IdIpi8oonWSspANn1fdo7aINoEqoLmQGNRvsj3MeKJjYVNk9YI+0ephNwa4YTKxWVAnnGtFDlab5deYK25sHwzFexaa4J4KhRnctIMswao30fa8D7kXvQyMF0UyIcVxxPUdV5XRcZdvd6DX5DSgW27IsUDOUcRZbICv40yL0kzm5PZ33L95mTzkAOj9OBpQLXckz/WyZ+tiVItbF+MgBxG9sx/Ko0BTtwjFaAkAds/dhgjG4q2xIWUSxjbgm17kYFyvZKlcCsqhNZ+SMMMcrtzAZfL0uWSS85wAjnQLpj37GRt2xUlF2ybSr6HzrURmgFqq9i2ldCvL4ZQSOkA8suLwqKzgCSUzlO10gV5sdo6LlwHzApsoOSCfX/0ivnrD5/6eC6XBc5ZHI8D23XF5e16msAxZXg3IAV6L0ulJY0qf+n9eO7YeOdgDTlN3hJqxjEjDK5vapXQ2b6YPRNx65ZOSi+J8N7jSDhE6U9hFN33zkiN0Dm4JeD17SfE+MC+f8Ba5UEWDKgAFYc1gKZasMJi0f2q9v0DMd6xLNcOD9UNXxcmqzpacY29ektBDYsYHwAqrtcfEYIcEm2XCi/XyrJcsIQVUaDY1rLLyZ8dtssLO5ON5sQ0M+Zr6aa1iHqwBlW6zjRRkZs11pTRLtSZH6bJhK6//pinva1vVgqXTeUEsW21oZoqapbjgPqzXcr/mWGDALq/bavo9jXz+FWBCxFtwD0mxzRVaM/wy94V0kBsDqyrzoVRuWWgQH7lDB2SzGt02aZ7r/eRvx+oEw3qO6RRqsYzf61U+uaGbcHjg8liBtEVl5cLlpXCGbWymNdqQ86FHozyRWqpKDFh//og1cBUEUATFcwsnmV5oCqAwUluIoZhBN2hnTPloKIO1eaK2ZZhdD2BgQwAiILlzmFOyYd2OEuro2v8PDfa4A4+B97GjM+k36En8jyYYFBhK9W8XQOMKShiFm+sweV1QzoK9vvObkhraLcNS1lG0chQil/tPKyzItxTkEXZFwakAkhFPywezgdoZ2q5LHDWYn/s/cx9fL2jJFbIr29XQpuDR4oZ+/uB69uVibEeZbWK6mbmmsgT90/vkY6NpRdgq1xHy2UREaE8Ek1r+jo4xxznjpm+t+6JtGmoSnGSeZjxcf883bjRkRvFG3bwYM0fGkbL7mNFa7RYsNYjCF1AxQhn/uH8PLWKqa2cbFIGykLdCBoG5HU8v3c127QOQFsa0xQaG/pjWTwY0H7SZIYuwgzJndfgslxwedmwvz/krcgr996xKG8Nbp9u+PXv/6BOR8k9nlC9BsBS2yPNSfXw3GzVogq8dcRZCaVyXGkB5zviRS2JnFu6zRv94hdqpKQKtfjTGMQ2h1p31FYQBKarY5iOAyW5XgT0Iho5n+swwqM2ItxopKDYFJlI1Vo2CrR4hB67WTcobcCgghmjyLeGJsKeupf0jqkmps7BG4FDt4ZiLNASjHfwjsUhUi8Yb4UlUDlaHBiWxSMKjLXaoUjuw4IqnVI5rvj+duJD9twDAET/QMT6gh9aAMOvvQGL79SYlgubX6giUOp73hLEKaLZEWupmFLJ3GNLKoBQaQYqTWa+fOhexBFBKHqmDkeGXJIUFs9nkD5/nn+1UiMml4E6eOzvKDnBOg9jzjBjgNZ+upZ/6/X7fDbRunhDnzQTP+YkUS6XBjF4+jI9+A4eSar9tlENMMeE+Ijwi8f+rrh0IKyBOHThfzjPalatmZuBLLxcC3KJcG4cnJw0Ksxj+qK+vd06Lhyt4dgrUopoe+1wR91IfFjgQ+veebXWwXMU7pNfPGxwKOKZGPcDR/zAutxwb+wE1XLFsq30O1J4RC7IX4pYATAASVE7vIWBR/DyHchRDGGdYHL8jilmBrvtKaCypieK2m3WTqaTxBFA5w1p0jlX7LNWwFpDKgVROGk94Zg3+KokcCqL5UQogFa1tVt3LwX7xz4q1I1d6JQKagPyEZETAw4fHLbtVXiZ0nnIGa2lblmSUpKOo/pkklOrPKQUKfZDCwASxnOGJJdilgt0krV+Vi48FbMg1IBJf8C6/q3PcVY0C1IirHtZNqzWYX9QvEOJ3FSVS9JxHwIU28uF8uS9Gj8KMuPwfqoc6+/LgCSZIkJA0+P0QEAXjpEk5CmRJey2Dghoa92uyAqsrah1hvt91a//2i4NbEagI4eV/H27bcKh1kDiPK5acPMiRlFL6z6EwHQYW3tO5Fvrvm/zmj75EX6nUDReUwEXY31WTAWKKYjs3UBrT7+3ErB3L1AJVmhXtCCnggTAOeEXFpp4awHJOeWrkkagHUdAvRhZmbaN8CEVv4EjlaKWNg7lSXCuttanuVbaT0XZfzJG/DtGcDEJJ8E01HbuciklYfaCnvdHY9Af/ZwMzVST82eR89RNAkKNn981i+ZF1dYamMTCwrItyPEO5xxubxfcvz7IV8pZuPFJ1jo7zMdxYP+gUMh23RBNxLEfULVzdrzVskyEiWqFlUDocttwPCS4FkV457lnmcUgiDpuEkXly8t62neMJUpDC7Iq2lNK6SKBczef3ORI26xtwZ7Ld+c0x3t03M8B8xSjGNPHYn6NHAWJot2v3nW237wfABz7HzPZ7J1EM+astR5hWeXs00J9GRQTO1SI9fyhHUfp+0nDmAbaqWxTAVu7mrXWU9yo94GfpXYagTUVsLM4nqiAnyCzrXeqFVaqEMOXNxbm3z+/43K70uoJ3Ne8dLT+7X/7b7G/P/Dx8RUAOmTR+w3ruk7FXF1fFlWUcGutfM1sJsGZIIl0nrqQhJwO9eShOMvv5VAbqUUKZ2eR253QTq2p1UxBjIdAH0klWtcrtAs8xoaf03u1QBmdyrCIlofGHlLw7lDfWjvyRTu2aEwuO5Wu8U1qHrBlGAO/SLeviNCNzIG0xx6UGNPgF3ZKrVCvqBUAGGd6PFrlDNI1DkDQgq4X62FEEVYaFmw8aZEKMJJ7NCMCVNawa9k/y9g3GGsBlys1UPaPvdManAtCVRp7d3wcWK5b1zkoWT1+0VE1zomPaXDA49v1OM4ojb2G9ggaBVpLTljWi+QoWbrvFoO3q/TBetrLvAv45Zf/ROeFkogZkLhVMYyqrv97r9/F2TxSJoxI2utoI2CxzgCKdpLNRqFOALtbz2bkALtl+xFZtVaj5VxhLEYFXYQzXGAGvt8PpCMJHHWF94QVWEsBltrU6DT3gD6lXRbaihACoZGWWOouyrNHpHhgP+598TsXBEI1kkxt6VdbUAzVqVqDGKHSY/N4HIjHoxPDQ9gAhCnoqMiRfNa0J7jFdX5LETEQGmIzKAhTxcNINTqEAO/EXLc13L984PJ67UILAPqhng7hhF05vs5bBDUYLhXFNPjWekIKa3uncw7Qcq3dZ1WlrFUtE0bVaV23dDB2QDUQPJXlhOeBKZHSqlBYl/66rAI62FKRii5chXymnnSSc7v0QxGA+KEuqNWiloyYdnJ7awRgpMDACas2D9rN5AskUZtVaW+PnJgk1lpgAPjALuVxPLBtV3gXoCJATDSYUK7rFcALas2I8ehjlyIhtiGIiMCRBqSnkNOg9jG1DDXhWmoPoGf+E4CuHKdqaZeXC6wzJ0EOvZfjvo7faeeh5HqqUuuBA9i+XkoqqOH34fr/a7s0wJiD2PlaL6so1pXeidNgCRiVfHL0gBxL56OPAKxXBUbxZgrIvRxw1o7H/A9dvbAgl0JQv/f9+vd0FqUnngzmaypSjW09+dBuxfX1gri7zsfUYMZai5IzSmYgZZ0ZUKVITiFAlb6SCkxjlzIsQ5SjSeK3XcjfaVUDWAYDnT90mtOtH6D8HApzG77PcyKqarQzVJZjgbHe5J6XWqFcTcZ08u/uPI79HupceEo2tegq2zt/1++B8FXBt/KB3DItbtjAfV/FeZwziEc6C4BZwrlLSYh3g+zVq7D2ewMw2DJTh7zmimyMKMo6vP54ozBQbadiZk4FOT2wXhZst0sPMOeOvxYuwHxXLFBsFyh6nnfGcL+KezxBauc9q36nQAYMZVqDSSQIygllYqM2BjE+OnSMSvUjyJs/k/79j8zZfL5YJJ4EZXCe08YY1En5VWG2iuJqUCTGQLM156iDAd3Xynf3LtUzqKJKXFuFqYwPNYjWq9/fcqZz6PuPmMkg7hHWveFyu04qu3z/91/eRcDM4Md/9xM+/p9fBVpYRSSyYtkIa621iQJ+GVBfQxuqlJIUzDOWZQUtNwxqyTDG9/2B50Ciz7eMiTVeusQNcd97ouBdwOwRnmLC7PXNdWE7D3RdL7i+XRFWokH8ErDdVoS19O/bKVoiJFYkXi8pIxpaw9RcxH5L70uFqZqElV6InlXLmwjvqPdub3CIJQt1BNhtVWSPlcRS34PJa0PRfa5wj6POgYNfyJ8OEntYY7FsQeYrRTaHONTYo7+ZaUa6m4YcT/p/fovUstaIUnbGel3ZmTSArbSRIV1inMfpcYggkIje9UnJQphbAuo+7IOq5A/8Lg6aSHVFY4XgTnMgl4QVVzgXkFPsj9dCga6vec2GsGJZL/j1139BCCu9NF2Ar0vvnAKAa45Cmk+52n/p9dvVaCXJAEagygkrWPwpUOK/DS5Q//KV1TNAIbHsZJZSKCK0jsNcqwgqnsPJUBFjxv3rQ6A1DH68v4gvTEYpm3hjrlArlDIJAQEA28YWAMm9x54FakvDXCqqchPtQgnZ9OpBzgnBr7CCy9/3e6+ipXRg3z8QwortckN7NFgrXpCefmLWuR78s91NWOR6WXsS3xpQYul8JeOGouMNL/j48o6cM449wQZuKtp9qrXiuA9l2hwzcsoICwnKrQG1OlTHYGZR3z+5V86QtwS9uxJclTbmQGlMCNMRT5XJUzVMVHlpHk8IgpEqliYytVaExSPH3D+7Dw5GeKoqoqKHg27SMR7IOcH7gHXdsAh/yBgjAhfqk8rNOOUM79Fx9sZQMCiJ9cggWAtExDrarfRAv/RglouSB866ilF5TSi1YhVLliICB3qYbtuNirf1A+tC31aF9ijHrFfsBGpxPA5st+2kZjlXVZ//ZPCXexEFEDRAm9REJWl4TpLmqyeXmdVXFeiYk6vWqETZhVz+JFfvHBtz4msC3NMIZXc0in82b7amo8g0ESuJYmj895GcaaCE6Z7T15bVWxVK++azSbEB5pzs9Ps9/742qrT2AJ7oEr7XOfgHgCrcPOXsq79u8wamMBB5+ekVaY8oSbzX5HMrdNMt9CgbhSMp3hmR4BcRBndCw1SkWHFdgnQjpq6hQX+ss0PQTT97/w5Q+JbFnGI/rwNFeNQGCZRkrARyp4gQBsHyewmqNAlt2q3sZ+K4D/P7atGS/8b5oZZXvTtXMCxbZIxKIdd1bdx7WPCrKI2UA/LgBcq/LUj7hpQig/hI+of3Qc7GDBggF4slOHIsU56gZEYCKoflym5mQ0N8RBjD/cV6h/1+4PJqsF5X8ZKl4vk8vqoqXErpBStjSDVJMVGkqI/H4IP7JaAW7jc9uXxKUsgx/9YsXQsMz3D/WnlWl5Jx8kU2pns1Gow5aMzZruePdj0XtaiuP2D8TqwWGuYiZTs9P2cKnpj27WvrPmYMTl3M3h0sOBXY5kLaLCJkTAW1N4b1Rn3q3vT3RYOdEtP7/Qv2jxd8+tsnsOvEvbekgs9//wxjDG5vN1xeNgS/YN8/OoS11oz42AFDPQYXHJzsJMZaiRM9nFtQQkDIGSEEqE1KFe0IQJR5dd9wAxrpve9IQc5Jomi612MdMZarVGH1i+tQ/9bQ3R3WK8WdqlPkDQAYlJREi0H2M0cYazARj/cHwiaFq+B6QWkUxL4trvaYTAR0ND6kcwHXusazM7+d1Kqlx6x6x0ouqFPBkLFqQTogOggyVot+Ts9io3Azh+/12IOpA2J7YVI+ONRqsCN9KCyAGSnuguuonJIHomLZFqEZsbjgltBfu7WG/ePAsnGe9GYL2EBbrxtK5H1wEvv2QiMGbaYX3kqWDvuC/TG69w3seB/SHBvnndruFGCyVlnXK1KKeDy+duvAUguQ1S5lxB9sxv2+7ubvSjbThOGdZXyBEZSwoKzBqgTbE9SuJDH/FrWrPSWkXaXwBX8fXE9WVTyA3FDXAzMrMJ4qkD/nVLkzIyW9UZxk1rkTh4l/nuEhpUQYOJBkTt5c8FQEa62K92YSzoBDW4uQx/m+IQQABjmTeKsb0gW3Hpy6hRvG8Ti6YisDLCeQMYOwrKit4PiIYhFCqKhrCrHgd1hWJqY5JuQjQHmS6jEa94jHV/boq8jKW2v6d26lok3Bqpsr/FOBwE0dTm8ditgoGAyRCS0uoLWujKlcP+UeajKpKzLHzC6GBrKlivoglYZbqn2c5Iv3jd7aACDCOYsYd7TWsISCsFykiyjBSjoQAiGPwXswVhjVaQZcu3ChuLmz6xkAC/hWEePgX1jruxhU6ZVUi2VZJHGNrDitV9jmWc20jtAjIWhfLm+d98mvZalgBnSLm1WsgHLKSHGG86J3A+bAQCEhblIk7p20WpHTnCiOjqgeJvp6cjNZ4Usj+X9+XKvosOc5YP4zXH2fk8Sldwxrg7/47juaJ8Gm2a9R7xeLC3KPp44JYUwKATICRRv3zMhzjRmK31rAew60nz/38++fA/daqqBIGGTXCSnQakM6MtKRWYmlRggFGEqBX3zfK5bLiuJyh/nmI6NKV0JtTugZ7HqA5EQxEUCHgdZcYIK+d0LZCNf04jUcgtN2oBQHp+7gUyDcQPg5Jg9H7r/n8VGIrJUg2Og6w1ApPXV4pkRTk6taKyo4jmc/Ub5nnYKevk4FuaHccessUUOtAFWUde1IXq1zWC8yFzP3/vjgnpis6XNuWQMezsHDI8UIH4CcyIdzzncBvBwTOfmOPsQKTaYpekONGc4ZrJdF1CNzT4JVYTaJz2oQ71jrhfc7JxEikNGWEYpYb4EowWSdAthCePUqRZxSyOtXGsGcYLR5/stzffCdk/+9NXESBZJ7rEHhudNqT+v4j3j180H5umGDugrkfPQkc+6wDDsG5R9+Kw7UE01QIG9dfS+iGdjuVa2fga/rTn9nzFUFjXHes5TuwoRQ1UxHXNPMUPNclwt88Hi8P3DcD9x+uOHT3z6x4/mVQkjW0wvYhwVN9goipAqO+ACFBWOn0ujFog33Ju+vWFf0OJKft/bCRhBEFOMKJrL6ucMaekJGOyeHUiseH+RNq2aJft/jkU7f2VrGulk8RIe1HsVxjkdE1c6cs1jWsT5r5T7c70/fS5/W2rRGLIAsxetW2ujwGXDd6Zfpz2GcT346ebzD25zfoxgiGl0/19jN9YE80ZIFYhwzSq0InoJISeh3+j7rZYNfXD/Puhq2cEJVjFLjGMZX7FBzj7XiqOCRYkJJRJvlXAT1SKpWf8O+FhinxR1YZJ2osCOFKEd3M3iH5G33U5/XAqHZciZmcjSt86g5ojVStZZlk3h0PFfh5aWIN2mrcCL6c79/Jk2wsWNelCttBO3SqJ0zcz5/6/W7MG+5FHL2KivbvSph8gnuhC6sory9UbnNcUDKwiItaEky1cdxWVnpVAsII+p57798xX4/BjYbXJApH5LZO0k2D1n0NHsFgGWZsf6j+8bP5yX4kYRV4YMgPJNmqaOqyqqfl0A8yQ13SImJJitiBeQ9BCxeuZEWx/uOkjPCtuD26do9RAFWV2JMOD4eeHzsKLF0/HROCfHQ78nXWy+sDFFyfILfSpAY9ygYceLzj8ch3n7CM2hMuCPy4LtO0EkdI0AUaq3F6smx1cDKegcnsOdul1I1ARrCDN8TFgBkM6ujW+SDF9ioFBoElsP7ZvoGzgBA72FBTBG1NRwHuUzX66fe3a41wzqPVQNeMfFelkuvArH4EHuBIqdDEjsHg/LNZ2dxowqcJckcYVf7dv0EGIOsiXXN8pyA19cfe1dT/5sVaI/7gbe/vLG7a0z3V9SuwDcdTWthzFCMBajOdtwPkR0nZBrTxqEbvnYSTl2Cph6ag0OrlT/luOjDaX/wx632/7NrrjrOQe+yhs7LUSXaKvZG+jyAwbVxA94+iwMxiT1XFEseBQYDrRCLvYlI3qjSH1/fDWXBpwPjORjsQeb0O+vtqXBkDD9DOhKLbwphLUwQvHHymNol8MMa4LyliEMQS6U4eMWdk5N0bRhAAiUgIKxa5UdPfAGhDiyUxDdefEDVU3nmZjoWjtpTceacRJzvqz6/723GdH9p7Xie1l9rJySOPtcadjira6jVwuJs3dEb19YMU++pSa2G4jAKRxW/XmMYKEKTanJZ2+tF9nqL435gE/6SIk5KSaKsTWSQtRQ7oUDeyqQ7OO79Bd2Dmcmf2oKZ3g1wcr/TQU+8oF7PhR52zY/zwC+BgVytqMUwmDYqKGK+Ox9bI8xWz4x0JKzXFetlJeR8skhoGFSduXs5q4vXOvaxPsZTIaWWYWsGYECop0Thj37p+lBkwLrdAAw6hXbGvym0yLwE0M81fT0r1g3j9Udgq8/piAOJa84J4/ncrbX0zg+EzjLuaT39PK6xsNZtE19j+hV//pdfe8zx47/9ETkRJvmf/l//CV++/B21VXi/SBc8oVbX13qKFQ2lKy1TjJDKs0XGSdU8VXW0lCgxxydB6e1UwpexX5bLGKtKIctsDL5+/YXJgfcIgcg9ChmWIb7VKrwPuNxoE1dJruxJcKd+JXJurRHfTYHwwwx6SE8MlaIDoOTz/gk5fxoajB9ib7Nmmu7dwChMKOd9Fl4zxg6aQitozXavdd3nSso4Ph7d070WouyKiAQ5J/uWjnUqKD4Jhc31z5OOSJSGCP4oOscYIgBrq53WpEU/Yw3iPXWhsmUZ42bljGwNJ6i/juXjYxc0oyLXWrdXKb2LbZGbWuaMApfu++TwSnzsQy/qxPjAy+0HaZocp2Kodjq1GOOlAxrjDgN2S411aIUexKerNa6zSXTtt1y/OdnUiaGVX4VFQuV9remBSa/k6+JX+wVJKnLMrNLWwakouZwgGsoPKaXCVPI1v/78Fce+s3oalt7lC349KZBZS+9N7W7qQeKcExUxmp6u2wa/egZRRUSGPOXiUzpERZEb17peoUpo5F9Cko0KaxxSOaggm5nELMsm3CqL5bJ2TICxQNgoT+2DR0kVYXOwxiKXjP39QRJyrgKJZOd13wmb9ZIQ8zu90W5ELVxExZfcz4mfksfPyyYVLDVqn0UxcA6kAU0GxXxdKpS0QPm2EgOwYzlXs3NMkqiMbowmxXNXTLkHWVQprTWESmjAkJl0lpKkoLAjpR3Lssl717GwxAPLOS8FgCQbecMSFklYIQWJBYOj4wDl+riAACB1j6hxiOoGAany6me31iKlAx/3z3h9/Quu11cSsYUXRGNoB++pPGcNITRG1N3UYDnHzHtYRWSmNthlmC1r98RoNerpipLAqGiBwwTDndbi8/3TBKZ3vJ4ec0pK5frPGRP/ES/ePz8dCAxmrazrHljkKkq0tcOfNIHrPCNJ4HKiMBjaGQZbhUeDadxZha2wrnaRH2samj5O1q6KjJ2up+T4VKnWIPBJYZVziJ3ulNil7JAdeaiqnJrSABBFoO8XvMceD8Q99bkSRIyhZAYFxrHb5R3gtwUB0uF1TtR6GdBttw3hwr3TONehvPxO/ePwO6nyckOv7s4FAmPw7RjgrLgNoHdr9TFaEAXwTaI5X6UOb9VmDUwde8f8fr0La9gRUDgh7a3If3Ke8NaUcofz2q4WaeGso8K5/E/3WLSGZlh9J1IioSGj1gRrVpG9N0gx9v05x4TcyMv0xsF726eGJv362dWuq9UmHpnkPR2PCBhg/4j8XPK6DAJzLxSPTpntexWhckRPaPdI4Y7bbaNQlAbOU8fyGbIOMKGsE3rneew5Lk8iXt8yu/7wF78/PTEBjue6bP1ex/ggJzMnGDPQM9MLoArUb95bZjQAH1alox76+5DTCKjarK5Ta0WltOZpzxqqq0XjkxkCjTOqYXRIJcYU+P96Ja9+/9hRUsHj6x05FVxeLrT0EQ50CGxWMLifivDGo9QksaT6t4sgTI0sXgC9MZDlHCA9ICDnKDDIs3eoMUYaJYEqyM3iiDuK+LWXYmDM0ecru2se1pDy43rHWZL/yXIIso/AAKZxr3F+JHWYCnIwpsdsmPapeYz72ILnQKu1F697cQ+tP84tfJ9WzjBrYwnNhu7lAiWuddaPyL2LiVzoKS+ohWyEyiGFJrd4OADel45kyVapD2Aht1akXBCsFDeqoiUAr4VGEUKbxRmNc3ACz9X9SosqxlD9Wz+nFl0BdmW3y9rHuhQquBtnux7NfIQYQ0VyRTVZY1GEH+z9gng80MAiIqG0G47jLue7Ks2PppSuh/f3X9Faw7pckNKBZdn6fTJSGOj7Xzuv3d9y/eZk06j6Z2ELOatvTh6m4L5DW+vJiFkhMa22AaeUIGbuxDljEZzrwY3KAitE59h3pBwFqrpJ8hhh3Q3OuM4DnAOqLI/n59NOZ0WMd4SFh6VfPC64QdvpCq/RhKXWAms8jFMhotyrC84FxHonnJZgHmzbCy63G6wRGGzKHVbaWkPYHMJlhXFOoMYVuTSqwIq8dDWsGKcjIueIx+Ndvm/r36eUglt9w7J+GhwwCWDDGkSe2iEdCU1MrbuZPLSC1gAnlXg9hCeSsQZaqkI7HkMBASsVcGOZJB33o+PcgQHNMECHzSmOv2SqzGqnJh0MSI894njs9GYyFGCCQHr0oHLO4jgKYtyxbVe570qQ9rJpL6I2S++sIP5YVqqExohCZgn9YCw1y2HBRHLbXgCIEp9UU7VqZR0h10Mimu9/v3/Ftt0Qwqe++HNJMqdoVL1tN8Rjnyp+JOV7T6j49fXSyepFKq4nby8l+tdzZV+LOSlmdrjqt3xL3nt0WPV8zVYEc3I6exNqsvt7pbH/a74M7GmfAZh0KfdWrWGAkdQUw06/k45cyZWdoEaUiHXoRThIZVEVbfvVdM+kzYBtPOj0IX4ZPrcFY8/pXWr9/FOSM3c2vff94LYL52Y6IpKJKJFV6ZISrHUSrASBVdfOSaWNVBWPNUgBUmHdo7KrCYi1BiJAy3mpXcnaONLeYQsOy7b2Q1/HYgwLHwuIeEwdXEnmxcq3nu6ZNU/3aIyNk7+UWk/+w8DofCq9QH9f5QvUibcJgYXCyU2qbRQfpnuh99AYCgR1lfdmJBDkY5ULZQwY0DoLvzoYu5Bu4VlkcN7heMQhvuQ8nPOI8RDqQEawPP+0G99K7YF2a0OlE9olLAXNuA4/0wQ5xwxrXOf5WkDg4Qe+/vqO159eOZa5oJSKsAokuJpewNUub+9NKfdL5rHGA8u2UpQoTmiAaY8D0Kk8tRSUJ1VayJgZYxD8AgOLXCJmP8YzrO/3BVz/NVzn797gHZVolUrR/0Pr4acxtB8hj5NJpKqst+cxM8qZFg9K6ztNgP88KFDGDJqAJkBKkeprq1KUx1rbu9x44pf1s0rEsFqzQol5gzPjrAUgscuBX//1F6Qj4sd/9xOu/+kNMdHKzBoHFqIh594ugkhZEu8CgDoPtRnAjD3DyHP94jvkkuNU4BytK2opWJYNzgeozoi1Oi+z0IYANEgTxYkPIrte1lvysIPnfhUCnDMoGQKDFgG3xcMtHjXRsUCTH8bjpseF/B1gdG+0RGfovZxFPvVEaVPh57kY11+zsCLogqWQUKWwU2uDw+8873u386qtq587yRlyJqLQrwv8JBlRcyYlw3uYRWDRzsJKQkpBK4ucC6zGPbWiFCrDtkIobY6J/p+L78rpRZo2TlTk1SueU28ox1vvYArhuLMv+fGI2G4rqTeCduJZZkgR03kLLbypJgTjzNoqUvdWVShtQ4y7WKBMhRWjgkUsRni/IKeIIz5GkeBOXmYtGRnixtDORdDfu/f9ds6mTMooycG8GZTSYEsVHx6CDucDVYPTVioe7w+K/bQRJBs5XOnfeO7gOGfh14Cvv74j5YgqnpmsDlmpTDJh1MoQwE5kjA8RcTFSnWOFqCeiKcELEdotDo+vd3x8fJbkxAs8i9DLmHbIMYYY2VFzziPnA86xO2ZguqJpOogxD+uGKAEl+XnK/xDVLQPydWoTCBmkZY4OV5thqDnvUzWNSVBOGfngYaxdzNknT1VuAQlO/KgGdi89ub8qEjRX/OdJZ81kmaLwtfmxvao2Ceq4EejNEAN9WSfQWeXkAEASqIsxBsd+kLPknHievhBanDMej3cAhBd4scJ5PL4ihAXLMgoej8c7DADrPFjcotCAtbSzMYaJV8r7pJrMQ2pdr1LgoCCR68blFqUcKEXnODvb1lbxAh2y7ArHAaRLs96wbje0VnqnDJDq6xFHEgCwazT9vaucahCgHTAwMU1HRDpSt5nRtQQMaMzs86fdU0D5ZKa/bps2IL3H/aoNBX/ehFOv1hpc8FTMc+RfUPmydQW+VlvnTatXYCkFh+wN/G9CGVT1Oc39ILZucNlqacJpNJ3OoHxRQJqUliDb56p0r4wLjMgYRafo/tRzT6iKZ/ETt62w47BebgwcunCFBFgwgkoplLeXz9MapOsmwguLx3E/OjwbIKSRG/qw+aiFXTNjac3UB8kMqBqfO58536I0WhsJKKbiSX+O8NBba32Pm8fNGeVnAmhTMKUB23eu2TpAuz3za8KiJ8b9dTvUDDBe/Ipr6cGQGU1laIdDr4wCJwGo8RZZ9BAOKWyt60U4Y0SCMAl1/bMZGDgpIvLMJpXDQBVgFV42vNmWy3oaQyPCf7U0PL7c4T1V460oENda4a3HDHdsT/HCQO+QQpBjEuV4N5Qyn0AdM5ScYwPxcx7cLH196yx8UI9CFTEZz2WRdHTF9Hd/1GtOsnlGstOYUoJ6T+tFLYS1n1utDbuR+fUA9PWhV86RfFCj3ZdzsjujhPR9504aRRwznAl9Tc17gL6ufpeGJgqftD077gf3aWOomJ/pF7usAY/3Hcu24vH+6FxSQneb7NuML47jManfaoErAeL9rUmkgRFYZoBzavlG6s2sLOq87+cybdP2nphaG7AuDg3KNWeiqR6L1tquGqyFO2sBxeon0cVQxdcQPPKknDrGDR2FQM/3KmJjcn7pGTGCc0GMtH5/+/4v8GntjrY8QTLn8KEWSThH15hQ5SZxKRWJYS2561AUQ0bNIxEOaxAbNoOaqV4cnOM+JnOs1tbpCdZSDd0YwHgWC6gfws9VSoNDQcnS4cylP09zFS20qbK1xmvWAsYFIKa+P3FfKnh87Fi3Bc2qWJHQBheP4+N0OyTvOCPXSkkIfkHwiyD8mAepzY3e59lq0vsF23bDly9/l9digYEohNrnjTEFg1L2P02R7Tcnm86MCqH6Wc0Xs/6RRGrmDgyYVmutHxphDbh9uvXnt9q6KqoRDhsNUq08j2qx1nl4mfiz7LaJo3oe/ArFsOeUOq5eL3a5Vm5cAr9JR0KMhGbmTE/FZdnowwVdyGd1vdnLxhgDvyxw1aOUjHg8AFyGmqxECLVodZvS7taOzbGBwRjkUC+Zm21M+4TNZ3WYiRIri/TpTJ3f2t9Pxt5LhbqJ2mmVhJ6Q3BGYzZ1oI4HVfLzO50aptRcCsqjNcgx8nw+tonsmDSVCjlVJGVWI5UU6v/q944Oy3/Fg4YDdaWC73FBrw7peYIzBsjx6FZ+fqyKlHcdBftKyXJDTTnJ35Thu7tYPOWsNXl7ekHOWqucDWtnl5uF7Qq8dVR5sBkaEB46Di5QiAlUkzgNKTvj4+MzNYRHVSOlS5ZwQ7Y7L5RXWqlgA/yMczYlq2do3ESaPAft9n5LBKfEQuFncI+KD/BqdS3qVnrSO+zgHUO2b6I3R76lroE/U+fIHFs34Zxer+lYg7pro0UCbh6EEKmVUgyEUARfIFaF3bKGgQW1odggyAKNjPav11SLFAukq19rgjZECx+BLK02JAcXkGWjOENre8RH5d8KsFEbO7xcPdjd0n7TGopjKgL9VekHWaVw0DWpqi1EQpIrOKj4F4JZ1QTyiCGI0xL1hXai0qsHmsgUs24LjwYKZysyjiarspEZZ86RE6J0kg1PCOCWW8/efu15MBEfxzU6Pn/dEawxgK4oUA2eobS+gEq8G4wxOjANLUY0eiEjC2T/XE3Spc5REDA8YNHYX3EAmZJlfAisMSyC/0lq8/fSC/C8HbRlAYbTjeMh3EtiYfLYUE4w1WK4etRrkUmEr1SP94rr6I2SsnGfHarmuaLn2LFh9eB/vO+gp9xMFPsJI/JSX+ewVO9NpdC7AMLBLe8JyWRDWpVsGncbLmL6PKWLq2Y5G7yUROAv24+N09vU9sSmsk3C3uSjyh7va2OeDX+C9drgb1F+TfxdKjvynyaF2+uakHsAJSqtjG9OO1V6HwFQFjJk6z6K/wdgu94TfWgczFT/ZWfRohoWZWc9C349/Mk6rrWC/73j58QUlZTzed4Qt4LpeKdJ4WWGtwfvnj6kAWHuizc9P/3S16asl972imYzWDLynmFVtFeu6wpoRdrPjdLZusULfKYXQXBWdnKt+isKiQCG9y60xXdW51tbRG4bZFc8HKSiSoiM/l9q7afRfF+/N4M9rRAruxlAxWkUcdb7wcykaYapQgoXCakVI0g+YKyG3rdMMOq2nn3G1x9N8fRXJREc66nunmLFsSz+veLYEybMbgnpdqjOG7teLCNNV2kcZR9TGs385Yz/mBq0RNdTPyKr7P/oeqMJHTLIdFmt7MtoAlJiRpTgw7zPWKxLwPIbzPNaGXakZYVlxxB1ARckJWDG6/9Nnt9YKR1jWEc5NQu7BWrQ5qw3z/PqfqbOpB691FmknB61XNAQPPaqIWQ6Hgm5SXUfwUVLG/esdLz++9M3JOgvvLIq0uq2IC3gAj/cHuoGvDoY+xq+DA2Bt529a46T6Y9HApIDKoVt/HXYF06ka6v0K7zVo4CZljMG6XuTfA6xxyEX9Gm2Ha7IaZ/F4fEVOB2CAsASsl7V3yxrYkYgPBloFPJh1422NwklFgngTE3qgai1i1MXouzdOihHxkbrHmpVAmCa5VoxnLcwyLSQ3xD+Up5QnWKRW7RmH8h7lyuqPwsg0uXQ7k9lloxdRqw1dq1X5OCpYYml1Ew+St2EJacmJcvj3rw/p+jD5B1jRcTYIh5bJ3Szm4Fygv6oE4evKTbKUhJSziJoUHAdfb1kuU+XQY10D1NKmlIKCItX/IREOGPHWyjBdCIC+Yg0FMXLD78qytSCrZPWyIoQN1iRCYafFfXnZZP674VfaGu5f77i8XPpGU8QvyxiBHMpO1zsApSLFhP1jFy6JqFtKAt8D6sYgUZfv3EXQBJYBnm72533gueL1VHP6w19zQjB/97CGybut9g4ZIB1GKdKp8FPJ7EAr6kFfWw+h1rhPzFDl1gir5D3IE6e7wa4jeOj32Fk4y323f+Cn+zffTye8UfkH6awOGK8mVOtlgRXueEpZAhrlxg+fViI3bBf/KFmgxdkgIiLuLKCUSBNutUC5vF4mVeWG7bpiva3w/z/y/mRJkmzJEsQO30lEVc3dI96QBTQVYQPCEv+/wzf0Ct2rJhQKhc7MN0S4m5mqiNwJCx7uFXWPV5kRSYRqD3kUz21QExUVuQPz4cPnSK+nj9HuVa0VXZJ7RZzBn97G8bi/mtydATmjcYK+Gt9zwgnweqP4jaNpQzZqPXtfskpjnUQwzknt/DZtCrhsjhJZQs1rwng0I/joDDAK6wNglUl0Bja9C6DVIV0X3D684P565zYQ8vAu4Mjc/xXZcwxpiWieE/Vjzwz4xsC9taVZr62uKUwfjEx96+yFtz8YQG2lonoB146Mx+sdLz9+gFbglYJG+akaJslhLeO+kRONiMKCLO5gv9FSirXn2Dl07kwgTZ/HfRtrHAuuLKeqnYrOfItK+x+B9v+PfvTekRYNUBu0p3W2F1HQXdc5jaVGsKuMNXca0xozHMdmtG5+HVcuTZUVzFjj61GV24YQeEzPxYvuzsns/N7Th7JrK2U3oL+UAl+ctXxx/3I5xZsK0ChDYV6Pc87GDuD5N6i2vXcsyzLUSjESSxU54s/NzIJaCx6PV46pwoJSGBziwkgEmRsB98yG4EDe83pfmzgXSDFEWprUCSCIwrkC8yZaR2zHR8QtbF5sp1S1FYAlqBqj2zOWeJQ9R93J2aAJQNQrtxNA4goGG2eWlCa7LC7G7VLMptJqpwrJ+eBBD1jiaMmuG20FfH9wWkNb7djuGxdcpKLdeuOCUqmIrYldH9Da6DUlx59bW7v4c/FaowWV3kfbEQtiarIswLHQbblQxpXQvPP6yH3r1cBhtprpp7E6YoFme1POO9blZkJBTXRjYlys+q9zKoSEy+UFr69/t2c2g6ytVaR0wXE8xs8VLSQ6z6FfcfwGGu1czh1fz6quAKx5torE8HghYX/s3HtRKh5f7iKEU83ewksztQ+eFe7E5PvY2NMrBO45URrC3L/ng/Cr94x8AKqcpiiZJove8+QqOfNgyge8C8jSB6lSwq0ySjsH4/wxPOKSQJklqznpC+xr5Bz2+4aULtg2bqo3P1GhNpRcRESHpfv3LWNZI4CAKn0oLnqkxImpD0G8dApKVU/OhGVZEcMiC1U1mXIiIERGvkIcxqw6wLky3SyY06BMB6IugsWopKOq7YmDZlBHkI0kLRFlLUhHwuXlMipv952D4UDDrkOpwNJzY5u3d5yoiiR1LSv314YFWfotVVW3lMyUFQApReTMQ1oX9VGF44B7WVb0XnAcB1rLLNtfKmIkUyoeKG0QwSEniWaVCeeQ0mKoo14PdY/aC5sKp4QYx311Tns1C+73V7zcGEX3LqC2IgCFE0BAzdhFebl2bG+PgXw59Xjjjam1hkbaA8fXnndWoL2/PmyhLqVYla23gWb+Ww9FLU+Bsv47JbG/p8O5gBAT1JtP70dIYSRcpX21JqIxJUal6/fHwb0geRg6nyoCbRJrah3wU4USAMDVb10rg9qAQAJ07wYlrY7k5ozcngPpIOsDEVlwX0uVPpih0OpCMITeeWLhmloNOQa0ig8RfCm2Bqj637FpEOfhA/8Nq8wO5b4uqrYhRcQ1sT3TVFFmOtVTUtBnhB+jataFAuq/ThzIEaJQLbUHc+43Uups14SPBh23TWPAxsj0d5wHjdcQCVtknAAT68muzXnpu/FcXVYrkvnabR62asEBka5lDghAcAE+BLTasVxXPN7f8dheRRynoVYghCaVO1FzVKZJriDw2FYxK+edicsBzL4hF1nQjirSGnFsmbUP4qiob+87Lh+uFpzpOuYDWwDNHrQzkq8BaojSf946jj1j9Z5V67c84SPE+50EaOPv2+gzdbqXMMAwJ5uzDcp89N5P/b3f2/H8udaFGWetVUn8zmry8z4AQFgWQ4BrnFcqzNPXAFcD9/0ue2Cw186gkHMBMXLSyAkdV+G1ramjIYTlVCUc1/dEqxX3AQWpm4AnACwha63j8XbH/fO7MeHYokpFCkn0PAqAQS/Wa6+NQK4g+AUg4LLeTGOhtQy21XMoEhPq59aWnNaqiEuuiDGBfd93YW+40RvZh9iiViUrmrHXABZpbKWYF+X8PMgN9pnFhp6k+CC9iGIxkoR1Qk7lswXgK4P2qmss9SEwyL7HGMqw07hgWjMBnSwc0aRzulCb00oBUaFNbRWbn+/cO1kbK273WhFSMpEedKXBAjV3rvzWjj1X+CUg+KndQdYIo9ASW/l5iHFe7+Z1PcZ1t/WH2rhnvY/ktBQAlfOZuCZmsO2ZbcS8M0adtjDY55NYg1pnankrWJYL997XavTaeV8gcrhcbgbuzHNDCx21VsSQrPXwK1bNbwTXfpNAECAiJFVpKjNK0e3B6PeAfvBhXl5rw/E4UJTytx2ceEnPpaLnIbK8/dt2YHsf1MHRQF0FDeMATukEkAfuutAuSBUVxYzXB5SiDcdRUHdgDTczeQaYR+89q+vlwqIKALDvb7jUjyw2A1WWZMl3RbQuF+7F8z5Bn19YookjkXO4fLyIR10DPKNNpVS02rAQ0KOgw5Ubwq/XT3DujpIdfFiQUjJUallXpAVYLgvSZbFFQ3shex1BrnOMQnHjtARWfQj/jGc2+8cxHQ+A+c6pFUpwHOwu14Wb4Eswnj+y0Dt6s97QY8uGPmu/bKsN1Ve0SkiXhF4blstkcCwCAlwB5uRbvYJs7LWGdbkil102xw5I1ZO9Nx3ywXSC3u9c+Q0BRGxZs213EAHX6yf0XrHvD7kX/mnSNTjinokQxoLAkuQsKsT9o8NLU6sZXEFxiJ7VIb3QymJib628Hxw8Og6oulQLAKEfu2oomy7sNidb42Tz/oWRVsf9KIYQzgv+FChoNVMX+LkiB/Ai6PqgWT8HFL/Hg57WOABGFTX0+1RtURSbjE5ejoLtfWN03YfTayE0oFqUWj7KWnMyV46My8vF6LuYrge9WzDCz/gcLOrGqGNSqVbzZ6q5mg2OrgdhiZYEkfafZuA4CupR4aOKCmXzNAME1U8SsInCbAgqLhYRF/7PfDmlbaF3MQD3ztbSLN7Lhm7TEOcxehiNvcd+AFglcJ4D7nm9+0biWKfnqb8nAlg38Jk5MO6zBniuT6qGmnS2GbQd9NIuCbNWI7SXnyZGwtz7aXO2857cepOkkMdVEuD2eBy4vXyAcx7b9ibgGYMSISVW6rwk7IUtJggk6we3W+RcEDHoWr11dM+ZsiZvTe659odptbzkgvuXO3748yfU0hDSoJVrH7tZLzhn69YYzlyJzAe3i5gIXvTmU3sCeDRoKxXNtTG2T4JnwJIu0MrBOMfXyrbf+6EVKCJmcantV+v1VDEBvq70tsptKDNjDJhBg3qaGx0d+/6wfrLZV5NjiwoPZ2tAKfpMzlXLOYHB9Nznf5+PWrlyqXZTUXxkX//+ivvrO9TMnq+1SOJXOTZsSlltUBGXuTqr1b/L5QUAhGFUxEVA6LIOokI/WnN6bziOXXqnnVSJufda9wtA5kcbVcleGyg6o/8qSFfbYDR5T9aig4nCy9NMq5l0eg83M0Qkqe1tsAv4HgiYqCwRB6CTiQppR4IK6WTw/jDGEKzy2GodeYW2isi9nA/nPQIRezZry4QblXaOwWHApx4pBUmU+XvvPSqALmB87x09emP79VJBa5J4HWNflV7LrHmOgoI0adT0UQHuIJtTLnhQawI6i6aLWKh00czwyUmh7utYXI/eWRTosr4gxhWlvCLnA7fbRwOXAe7VvF4+4POXv8BaATDvP47bD50TYat2Vo/ug6X0a4/f5LM5f3BVKrMFQh9a64Ze69E7U2G1sqmbw37fsb1vuHy4IqRodhopBPz4n37A9r5he3uIPcCBfb9bBaqWjH2/8/vXBjZhUVorUxq0v0SDaE0Y1+vVzKHlCmXRqbagKY8+l03QrCEAw0kpV7kiuDr2+vhJko4Fy3LF7fYJAKw6m7cD68sF6ZJw3HeEGMSKJGG5Lnh8uUvFkxPjKohtWpbh6ShJRUrJmtB7Z3GjsAZJKAfaw/ciAEEsSIiwpGjPTdUU+fMOTzlHhOCdecs55+CpYe9stUAki0prCH4siD54s2ZpSzpXv3SwC63ai3y1jqXlwgmYk+qvomg6+NnGZGNhgsg+U/t+R84PtMaJXYwRMS54PL6glCJU2EH5vVxfwPYkGY4Ij8cbLpeXMWY60+D2nZv6ew+y2RXzGQOA2g4gA9frhzGxAlfavR//9t4R04paWakvxgVJKpk5Z3ihvpRcEBIHUgZIECPyy3Wxe8iJCKs/5i2zUnHmhbrXhsfrA29vP+Hl5UcQRZSSkY8i1inB6GO2gTyBRdY/IbYRzjvbXOYEiysS6kn7/Ypm/NKh40kDUyIWLSGC9aaot9/8N2GJZo2yP3ZsbwpoPJ2zDlEwC9Ce7zOxkIOKQHUZu/pe08sQYrDecX2tVeetv3MEIURaWVU/ZV4n4qrqpWTJMytSFvTC/cq1wCipRgGSzY0NuausvdyikPeM5bZyoinJVO7iDxw90iXBBZGhJ+LEqysafq4IAmfRMnLne6Hri5/uk/NkomeDMquv539nIO75Nfa+boCdc2W0tmY9iDNabXunA6iNa+GeJh4/zpPRSe19Ha+IUszkvRZDR0HXzJqbsUHWDysuLxegdxxHQVwWMLr9btZQrbAAEWsvRLgQLOE7Hrt9YKbUMjNH6bBdRKR89CYqxgbsk9pl73i8PXD5wHvg/DwQBRxDA0TZWO/TSFL4eWq1oRzZxse+HSLwMb/eHtgpCZ0nBhFZP31XKwENsnoH73Yj0fqeE1BNuJ0P8OLjGHycPMNZsEf7CU/rFbroKmTEib2jx3nvGPTYx+MVIUSzkhvXwvdZiwKA0keDrCsVtRKcK2L94YDe0K0//VufTxNW8Rt33DveSsPr2xccjx3OeQGjZc65IFTaL3LegN4HY+65qhrCgsvlBQTHYpZNaLBhETpoMOtQp37e4tHNKrxRGFGDrsrvO9q50mVFXJMJpandVjmKtUvUo2Bu/xv/So91fgKMu1SNv2UjNa075cjmmau/UtCGzzPf63mPoUGpxQDLWu3Wh8n9oBJ7d6lWfuNBqg4B/Cj0aE8uwMk1UoKXam3vHs05U4fXdjUi9fEkW5/UqkzHdi1VaKrKvFA2GQB1W9Aqq+yH+m8T66oZOIsx4GgdJOulgrXC1OaxsnClcYBmrEg7xwI5H/CerUtYY+YQMG6BVkJTugBEOPbNmD7P65fqeoSYTtVPPZT592uPXy8Q5M7N/M+WCQAPotmAXP9rtWF733A82F+oZE6qaq54+/kdlw9XxDCMV6P3+PjHj/jn/9e/YL/vUAUyrhpww3jrDUtQNbkG6qKm6DmJUV66itMc+47guXTNggMOJBzsuETpfxJuumNevfoWcfXBo4hKWAhMo1uWlcU+jiyolAr2FMTrRQLHdpJRjimx2EZjlb1aCvJ2YHvfsW8PnPoRG6uzhYtHPgpCjFhwmeieEJptgPNZqMfBggAXHJYUcZTCZfro+TnKc9HeSw20tIoZvTexJg2ctBdJf6YVaEeEIgmnBtxzD9LxOLjqLMlMCB7de3tdkT5fH8nUaK2fh7iaob0OtfNz8MFJE74Grey7eRwJRBu852S8tYKSN3RAqo3sq6Y9mkDH/f5qE1SNkhXZ5oTegb2PmXKthya7WslU6o1uGFYh90GAjl3mEdMw45KQVgl0GsvFD5saWVT2LFVPue8yHgqKUGSbIYL5KPj8+S/Ytndcrx/Qe0BvLKgBDLEMu/4yqYv2QVv5qkIjmzcnIdPPnxC339OhQZPeKx894hrhgj9ZHPFmORBa9jZjf+L9vuPxtp3OadU2mSsKiCltVF+nFbPLx6skJPOckc2fVKiAx7nR7TXRceP5EQm1isgsTFRwSinmLnqE4i2g0F6ZVgq2O1doW+Nxpr2kwFAwDZEAYuT9OAq0lzwuEcuaRuuF416kIBX/tASj/+dSuYIG6XuU3kRAkjE37oFFS9pTI0ITNN+nqXdzPK+RcAPnRHM8q/P3zwloIEkAtYpG+CZzxPZHtHFfCSCpGnOyWuw69H1ABHISEE+U1k4d5LpY5jSgO8AR1iv7B2bp6S9iBv/xhx9xbDu27Q3HsWG5JLQGpEtC2Q+0ek784ByOx47WO+JCALw8W6Y25j0z4AkSuh4zh7Qy23vH/csdLz+8nMY8V1bVo65Kpb2bsBIRWaXCCwuoVWZyLNcFaYnYypnqqednMb6KLkIpNZ9Bc04oggncQOytTrTFKVj/Xg+tfLDKLMdVtRWUfIxea3vtUIfVmExtTzRJ1f1UX2P3ztY5TrQejzdOvKbETc+vau7aPwnAqi8nAOGp0vnVe86/k7Vbewrfv7AYkI8BXYDe3hp84P6+kg8rLIQQ0OoAzef3CSFgEfoxOqRymYQ95eTzONTKv3eeq/5a9U1xYWsLUfkFPqCJGBMnwFxhXi4L4sJMAydrcJF2jFIZMCgC6LnAIpt6b31Qqj0DWZYsu6/HNa+hYx3S+CEm7uE2Nk63pUsSIv177vGnRiPBw1gnFejmalxDdwTXFSQ8V1oBrcw2uZd8tpC8VUZ1nyXnELTAVFkLAMEjSq5YpaVE91MX1f5GKMmlsDCpxPUETgBrnqzMpFeW9zhOSotUKpWJpj6d3eIu3lTYHpLXKbUA857BwSbrMitBHzKHzv7QfM8b9v2Oy+UF6/qC9/fP5pvJY5F7Nd/fP9v+oa4D9nxlDuVySNK6n2i05Dwul1FM+TXHr+/ZnPof5sDIRE0gaHiptqFrQ/LxOCRp5OC3lWql5sfrnfvOejeqkneMov/h//wH/NP/5Z/w+S+f8T//P/5nqSg+0HvDut4MMQ4iGAFB8Vm9SvxAc+b+TOfQZNCWI1sVIEyiGCFGqxRU8Rwba1RFiAsAMionKykqrYLFBko5eHKTUH8iexvFxAnw4/0B53gAt1pRSkPLIlTUmvUjes+iGy442WC7JJkLVxgkIoprwrJGBC/VUkn219uKy7pgmSpQmjAk79hqRRLOubrZ0VFag6v1q0GuySnfDxYMqq0DBydhbM2gCJobdFoNrlq1Hgk2qPVMs8IQEnq8PdAPFn5Q9TWaKqyAbkY8qY7jAYCtRko5hD7wghAXRq9QQACCoKfHcSDGBGAgeKVUtPZArU16dpUa49DaYe/N9iX1ZDWgam3eJ3jXpLfzQGtMBQyTERSr196RloXpjymcBGLUkob7mJ1RLYi4Z7NLEL69d55HbfgtPl7v+Pnnf2WVtFrhfUX3bA9Ta+XzfGNTmQPiLvf2FBg7Z0qEeu/Hf1+d7rs/vPcmpa9HWqLJxjdR4VS0dD4UET8K+3Bu2ztiXKZEH6Aua1QpQn+q6P2MoHOw5HH9cDVblOdnMc9TDt5HxWCe0za3g7dEE4D4J7PIT1qiCUWYcbe87nhktDysc1ggrCFnlkxVexVGsKXCVyrSLWK9Lbi8XKHVcv0McYlIa2RhDOdtvn/lT6l0L44eLOHWqiB/NkWcz8Go81x9VZCt9Q7qHV4FJ8DsDq1M6vPhe/Z0rzEsTQh08iPWvs3TPRd67GkuOeJ+QhAsLGsDIDJ/TeBktu4IKMbykn3XD3AK4ql3+3hDPgpf++OwCDGkhBUvHHjkCh852OaEX2yXHAOSJRfruZopfQMAgdF/g4jSnfr4O1PDj8eO5aJAWwc8i+Ipen9WzdYKCVcUyPEeX3qePKXTEJx7mgPdkfToDW2IOXFyziHGhFIOAbUrXA8nMIlvJrc3fO9HisuJGgrA+t6M1aL9zdI/adYoCp50NrVXj3L9WznpyE4AbNs7QkhY0sXeU7SRheYZkQvvwZq8Mtg/euK42vgLVF+ofcRIVvVz9K4tQrI2B8eMbgHzegeOvNm41F66GCMIHq0roJywrlcBTLiHblkuLCYZWHyxSq+oJpetVbS9yrhrqHW3zwxwLNqal6qVR2/cLhWXcPqMs5BO2w6jlvapcgeShE/iu9aYvUDOsYVLBXpj4U5T929NgCYnICW/BwGnOGJUuTnBgrKwZnAMvGZRq9LuMCWd4DjLeQG8+6iIjmk6rFqYAcKK4947NMcUWAAifqRrNbMdqzA2yDl46lDBRwV1oWsZuP2FFbODxcshOAMxGRgjkD+r0gIjuSxHEcVtXrCIMKiyAhCogm6pDVQ4eYVzaJJLpKTWJue5oxVKEOvF7Psd63rD5fIyWAU+IkYP76O1gnH87YDJpk5IviiFKbjbNvYUgFl7Sgf/tcdvVqMFFGnsgriMzbcUFv8hQR510N1f7yzcs2ex+xjqpK2JoTkRcikI3oPg8E8fP8L9Xwnvr9xL96f//Ce8/i9/l83hwoueUjqEctUKV01ZrQooJEIHNlg7dKWrhVGP3hyqQajce1VqRRDRmuWyIHyJ2B+biSrMQULeDxzHHQQ/LRwZ23tDXBJc9LbJPd437mtKXiwBAtCZv21iPNJvp75IGvT13kUEyUtSwoqnRGKWLWILy23lvsfGnqjBew6YOveV9taRpFJQe0Nw5w04eI8d0i/oPSefVQLXKeiqrdl5GRlkUSK871CZbe4HiDxWSpHeWkamu9w/L0pp2kyf1oSamQLLdNlRAS6FEXvtudIG/iwbQmuMDJXaADpG8AWlBDQcB4+D1irblDiH5AO2reA43rlyQgEpJuSSTREuBN44Ndn0Phklj30wM5z0AxfZHLnpn9HKGJexAYqtDyeLzRYsSNX9ONgWphwZIXjM3pegSbFU5k7NFX//y18FnefPpWOmz+CQikEBtnHOSdFZXbCNCt3T8VWQ/Ds6hiG5evx2FnnSZFMqgkY/9kPQRmn9tbLl0v3+BZ8+/RnAmH+MrPcTbXbuedLndf1wYzXrWq3XR1Ho+V85qQUD2kc5QDRlLjhjg/DaPq5/GJSzyjMLunTU3EzUTNchTfhqZgGwejQ0oTypwExcEpbrikXYH0Ztd56ZDKS0W/GLJFbGrJmZDXEJrMqryUPlxFY3Y80/IYGXJXpORY24ReBU4bLkHCcv4SHyA4D6V4llh3oTy/3EYH2oKqOpsk/Ajnpp6nnIq5l3t2uu6LwfJlYvVhoXX5jj3iL5rAZYSOWHqXUMAjjnsNwWLG8MUlatBhDB9w63LrjcVmj1UingprQ4Ca54f/ZiYxsDBhGdV5bG9PrgcPt4xfa+W5CnSa9SZ3UdiqKeznsTjzG0QfXmSqVQuIM3/Yfrxwvv2wcnw9CxP92u1ho8PO9BfYictNawLBc8Hm8iynK29jCxpYkJ8L0d8+cKMaGWPFU3zwGvmwJv/ffZHqT3Jq4CI7Y4sWKmo9ViOgPac9ZR4TrvhcHHCThrdn4iEprzP/5MrTe4qf+TedpKqQV848SlNRHJkgSi1Yr9eOA42IZNK0NM0xdhSrALwbJcJCYBi0GGsdeH4FBKw7E9kI8DHRVEAQCz4WrhMatx31jneb31PpjbwXJd7LMFUS/VzwZAmGWsMFtrFTB/tFehsyWHJnVysrEuydrIz4XV7JUpESRWnRk2Tooq6q+pSs9EZIJB+lrvHFziyuHJD1louOQC1OtRixZu6BLZ+t7BBZyYInzyaHmyWxIQt3dIddqLZZf2LA4gq7WOAwyONil8uMCLKTMdqzFhemfbE71lzsDCbkJ+mhxXoQNHaZkx1pgBMbo2daA25FwRIR6nkMJVYLVwtSuZBvUpacx5BxF7J6sN4rJckdKCt7efufA1xWrzvNUj50O0ZzzUO3a9vODl5Uc87q+/OL/+Lcdv6tkEcAp6dCD0LiIlgrIPpJqw39lIN+9ZlOPGANSjtWZqt5ECPl4uiCGg/vyZqz97xuvfX9F7w+32AwBwv15higOb2CuaKmq4uSBeWPFzf+xoTaTiW0OpXHki+MkDsSClhSe/TKTgPSh4LKsohm4H9v1hHHs6tEfAo3e281D0vqKYgI9zhH3LKOJZt4RkGfrx2LE9mD5LgqjVOpTEWuOAjqukPIDDwt44rgqVTRcACRLikizBVWSeN3augmVHZrrdxd9KA59Sq/nGBe29pS5KtDih9nOlRNFOrcTloyAujOCwT9FAHtnaZeoHc94SLkWWwhqwXBMrIdZqXPo+JUEhaE9lluCIn2XOG3qP5hWW84F9fzeK675v43fHgcuFpaSDT/KZGgMfIRqCVMoO7xJS4orp3DfrHFOIWqtY1xvUbFf7i3l88ZgJIaGVJgGXbIjy/Jgq7ZF3GvTI4NHFfoKAoSg8JYjb+4a3t5+MctM6+zG5GhjMKc2omQBOfnG8aeOk6vlMmZqXp7mKRt7BPVWbvvdjIOOj8hGXESRrNRBdQDT14CKp9neYwva+s2K1KTI2TmM4yFUwbwRqzABhW6eXH19GgBRG8K9I9gkQ8IxI96mv7VkcSA+lXKkPLgM9VapZhB6crHUHV4zaUJjW6lFvfSTfRWjFNKGmH69YLmyTpJu5IvIAr1lBFDAdpDIgAKZRsWTDd94xcOXO6Lcm+fp5aEqSAF7HwsTqmH+ulYivn/sA3IjG18C5iE3y90axE+XVSsODU/06ax+Mk5Eoa7V2MIhCFKp+a2b1ou/rYwCJuJxeqz6HLC0rzhHCEsTbNKAcZAEoOle/19sFYQl4vD5wPA44p4qcBGXplCODBCAEiUdy7Ugr4JZwEsmqpZoX3npbRFV+BNNO+vf1c2gri6o31tyBp2qixhV8XQ57ZlXn5bLgeOwCsH1dwW+lofmplcD2sGqm6AoUR2GwzEDcLyVL38vB1Gf25WssKy37WLZkxlQxSUVZFAgqVoWZ79NQc58El/okzCUCj8fxwP3+BdfrR0smHUky5cPpOfBzCdxWM/WFcnVzVrYdwXWnqYeQHO+NAtAphVTBPf2M7Lmu2hx+qm4G06UgIrMNUkaSc+Oc3jsBRDaOIXIRxe8s402RomrJsFrk8bU4xLSi9S69695sQACyWJWIFcG9JwGheJ0ouZtAD4P5AEkrDpEwE0AAcWanLWZdwLNaisWpoXuL2fQ5Wg+6G2syNLmaxxZNbQPBA72CdY5Ha57DuGfcIjHyCxJBIDhCENEkF5z4ysOSEE5aBTjVdt8A9M7UWyJeW0j0BHxwZu2l4GyIbOVUcrW9qdfKwKZcUM0F5Ic6tin9T2tL3vPJ4onHbpf7I9Vm51Bq4VhZmGe9NnZnWJhWDQc4CBgyAS3oJEJbd7RWcbm8IISEjx//KC1eXNXk3uAK+gVgpon/fAwJey243j7hw4c/YN/veHv/+Zt/8289frNAECCohiDhilJUrSiCE08djPfXO7b7hnxwUqjncapuKg8vHwUfblf88eUFKXjc9wPlyPgv/8//N95+esXf//KvZm+hk1wFfR4PFjq4XF6wXq+8IZL42wilbdvewLYVXIJmpbAD237nGyOVKzbN5UbwTRrJl0uyAekd86lrzXDFWRM7S2EfUga/GNdcA6AQHG4/3LiXpjXkx47j3o0eC3T05rl3T5reiSDS8EoHc6z6KpONm5M5QfVO1WejqcOmEBC9Bwqkn4cDDE/sZ+qtyRq4pGS9nME5pBAQJoVEpdBqENZ7B2LEXgpSa9iPbIh8E1RpRvMtkNSAqGk/L/fTKNLtFoe4Bwvj0oUb4HVBH035BLadkT7ZlnEcjPTwhhFMWImIsG13proE9rzkwOJA78X6KZf1ZnLdKgxERFjXDwCaVF8iYghPVissT+49X9/Hj3/E+/vPqCUjplU8kLjv1PvAogt/b7i8XIxmqMqfyvtnughJP1KVmJCVg7stPDzHXv/+inxsY/5JoNQkCDAzZDnmZFWTGJUvf57rAAyJMzDUjaqZPtff0zFXdjgRCKaGrd6m/Ht+PY9b7mFrjXsaj4MTzeNgq6ReG/oJ2R5VTH1WGlxdPtyQ1mTP+/Rm/Ib2I61c6jWw0ARMDAKQZ9i7jT9lm4QUrAKkACv3Wh3YXjdQcGgqUNVHbyp/rb6IzZDjuERcP1z5PYNDr13WLQ81+GY7Ck02GpyrrHiK81hzQnVSBXRW3ZXfeVlLvFoewAJkreo+M3X0ur1zpyRyvqXWv05kyScAUeYeSdMMwqni91zF1L+x7yURd94DdA4K+Nr4vdgoncxjlzzbfLgmirhTn2iHKoJzBTos3kRKWFiKA+FIsCCWHFkP7dvPb3i8PrBcko2Dkiuigsuts8G4KMFzRb+DcVQBPBzrJaCLVYCAi7pHhOjh+qDpAZCxwoAlC58xBQ69w3lYHyfASXaQ6mb4EJAuC6qIbo3nNkA5ZgdpG4cEjpWTTQY82X4CiyYszebVee/5vg6uJvLYZlo/J3n8y68tT4CR9Kv1lrzgm+c3gcPWIOVvrlERJz7cg/Ywr8DWKno8awzoe+rYGNfOoj9z9Z1fq4numHOWRNUiIn7OetmVUcD7P6FWjutUJEUBdYBjPfSO9XIzUEvnfWNEHi7w/Mr7jiPvFh+qcCPfPwbMayWwLRtZ7LFcriJaCESxIfHBn5IhrSIy6yNjfzRLcHUty54TRh33JG4otsZNwE+QdVjvby3N2pw00TTQYNoDAU04J+orTes16aLBCVb33MvJbQODLWIMApBR9IWvwiwVIpCIKs5JLUnlk/v9xaIrjPHQoftoQxMBMufVY/TMwoiJ1YnTKqJFpaAK2wfgz9S6s4+kQN008Kwk+3jfELxDWJIli9NCJ/sw94bmXLHcpHpa1fvTnWM3AUucAzM/wID0tr2j1YI//PF/wp//03/Gv/zv/8Wqmue/VXp4t3nTGs+9Dx/+gJgWvLz8iG17x5cvf7NK5689fr31ydPmbAPyWaLckoiOY+OqZs0VNfNmpeV/YARh5BzWJeG2LMi1wBHhX798wetPb9jeN3z52xcAEIpLOfVM9c5VJOe4RP/6+e9yfR7u8FbBMilvSTSboWIO+34HsMgi4OEFxGil4ig789gjB0sgQn0UQ/YAIAaxspDq3vXKPTDkHI5HRlxhAZfzHCTtjwN5PxBiFLNsYLlIYqeeoZmrg2mJ1vwdJRlxnnDUPvrxyJt9AADk7UC4OuytoSgyKcGPinF455CCRxUeuydGmlUASAMyExVqDaVVWxxq69LLyxOVPCtOegzT514banEAmDbqZEHWceNELEgXaxWyiMFJT2w3NDQuCTFF8RYSmp40VYcQRKSH8CzBHkPEfnBF+na7gOBx5E1EhiqrG9cCks2PkXnunx2JhUeMsAAkhCDjqEmSzUHTvj/gfcT1+lHGXUFKF6S0WmWKUc6DaS4vFwv8nVC34xJRc8Xt04sIgMhI1YC2jcXveBx4ff2bUKrnTVgDXpH/bx2OnlQEnyBIpqn1r86hSYAqXgJk8/x7Rvu/dQyqJvvPOcf0JqWBnzfjbkixkyq8Kg7ng4XPjv2Bdv3IiK4mlbmaKARwpqEREV5+uNn1zPd/fu9n8RsiArwD9Wobmaq1qsiMBlTm29uH2jARz+9eM8rOffBUZB0Rm41yZKuqnfzQWkNcL0hrQsmF53XtAHEV01WHXFjRNhEDe600uKiBrSLPslaIn6eOSaa1q3AH2Ad02qP0cajd07PVyUl45xewEyLA4du/135K/boRd51ZVa0OwRkTWbP7qqq9/HOm6QE5ay8WTC6fSPpMQ5CguKMch1QmiG0DJPAayTChtoqIIOburFNgbRwUJ0aQZxZNZCES5730hJEkow69CYjwOBigIAcfNDgtKAchXhYEUwWW++IclsvCpuaich3iUE9XMECtnbyI6h37mWUBjHWH91yxI9gPxCXieOwnH0C0QXGePb21CqOJx5Iu2HYO2poGZBIg2vX57zPZ1EMVX3VvBQCQ7uVVAI8wCb04dDTu6ZdAegZaAN4vvQuiYq8VRv47Lqh5NMcx3Pv7Z1wuL/Zs9X353gc0bWHiBmwDW53jtWRef5Uyy2KP3SiKvB6603MdN0D2xmOICKlQ0Zzk9t4QI4sHcnWN23z4czOLgv3kD2FZjXuidkMKXuQ80487ong4Q66XL2u2V+F4qokIWM3cA/3l888IgYUjl+syVFVBzIZohNY0Zq3cCmGPmJNs5z0accxWZA65KvvDP2AwDRoubH3mH2Dot8h6jw6h9p/dBjihJJvPXdhuXVvfWgc8g4rk8BUVF9M9Vvabi95AzTLRd+dKJglI6RxXUMmTtSeE5BGiQ8nVrLxIEveqAqSzQFsH4EYiSmCGX2uwpF1/ORgCHNeVI4NeuB2wHAXUO0JIzKJ8Ys3MVGb9d9vfsW3v+OGPf8BlfcHt9mn0Uk9/q6ysU/U8Jvz5T/8Z98cr3t7+jvv9lZl4+MZm9+84flNl0zsnpWZWjtNDgwqVy0fnh7vfd1YqPLhXU4854I1Lwsc/fURpDY/jQAoB9/3A430zueXtnWWptTevUzfVUBZj4WTjyKruyAGx98x97misRCuUDO6zO2yjby0C8JJQcC/ecewopaOUXRLLBT7xJuy9x75t8j5ALlwZS+kCpagRZBC8P7C9P+BjwLJGHtUTFXR73JEW7rNMazqh96wgKwpo0o/K8taHTJIuFTOHeGXRmZgC9sdu9jIcIA5VSzV7L0dGCUOdlmkpDXvJ8OSskhmEUuuVXvEkgMEqxap2xj0CvXX4DrRN+mKqXKdzyKJWqeNAm7316xA9Lh8uklB7AJ3tPdRUPDija2ti6H0CMEs/M8oG6KbDPpgaVB75AYAkCbzwAog6kkeqqJ39TXnDClChIABC/TkQQkCMQ4kWvRvCSuSwpAvIOQFD+P4+Hm9GsQUAH/9pVFuklzOkiLwfuH26ymmlNwBMgzHxmNrw0z//ZCq5X22eE7BQckHyyZIIna9ahdDqFByBJJiffbXkdFb1cl4Wr2+uFN/vEdNA3wGm/Wh/RivVLKE4CFFwYIgodOnpPKSafuRdqvvBxoSKbZysT+Tf24ePJjCANjZNAKcqHjBVmOakS+ahm6jUitj7MHo51dJivgatNqlirLYFqE2LCiOxeIwCVg6Xjzest0X2DEK6yH2pfJ9yzzxWBYjUz+Oj459VnSsjgfkq+CHpl3JurMFPmSHn2/zzaPYnkPs7APi5cmkBmVQg5+CIaKoQyKHJbJu+Z9oTpNeVTtfehHbdBUUnIpBagXjPlLipQOCkMq2VAyeicChcyRn9jQAc3/8mVTq1mlJ7pQaHtLIHJwktDwCc2BR4z1XnshepisIEqdgDmvewY8+SyDrsj4Of5WVlwLb1QcNNAc4vVpngdYSTZF5vHMoBvhcA4sJ9gyVXiytm8ITnGkSAqjKrZ00sujYFZM94WJeAV/u5nHO4XD/gsb2htmK00NoKmvRlf++gGieF/9jmRUFc/nok3lXUe0cSel5zLEmk2eeRTARF32vb3qGstVKkvUCSU03QAJwrSc/PRlSkntdNfs7agtJQakZalomWLcBQYU9N76Pt25z8KWurIMYV3kcL2stkA8hsg27CfQCset57wXEcKGUHesfWC4jEK325YlkuAvYVBtvS/Dxgi1HJeXIw2IXyu4FIeuC9h0+sXWGAV+sgmde8dwgjI7hTUqHxgrITux9r8rxunZ6xFkkn9hOI17teCrN+ZHE1GxEAaLyeNYkrn0IX0NTXzlRg9R7We6I9tt3ek9tYWHDUQxJRqZB6LyrmxOuF9ocq0BaWYDEQmly/xOkjtm2WLDtJjMczGsr9psNBrOvSezSGJP9+KLW7ENBzNZr1se2gQjb+W1eKugMp8+XkOasxasOXn37Gfjxwu31Ciive75/x9vaTWZv03hBCREoXrOsNt9sn3G6f0NHx/vYzXl9/sjn31cL57zx+U2XTuwkFhoyf2szfhznMfBM40dxxPA4cW0YWe5D58N7jT//5T7xxlIoHHdhzxpq0OpfxeNs4ySqHTV71b+PmaZ6sj8eb3MQVjgJKPeBcQM47WucFQhEqfm9WOWX7Cu25qsiZ1UodeRxlqOjt24bY0oRKcSKkypDc4M50kd54Y1dvHydUMUD6UsjBJw9yC3pLWK/cw9laR1oS99R1YHHOKpyPz+847hyglp0DjnRdkNbFAscu0VErFY0YnQqQBKGJ+hqkvfhJUaz1jkPQHx+kb0oEgrws3kb9siromQ5GRMOs/mCZfQ0itEeRpIfAKHdKn9PP0GAm9UTaKC7Bpwgm8RjgxTxGpiYuy5UpikU9ihT15AbqdXlBqYdVP7l6mU3e+fF4hVainFu5Kn0cEjAVAEy/1j6mWnaUsgsFSzY3sTxIkXs5ayu4LDdcblfUXHB//4zj2KTHtGF3bIMR0iqCHhnb+4ZrYCELcqP5X++7E/DAOcLbz2+4319l/Knlypivo7LCCCiWQVWcn/2MJM/fzwjgaSP5nR8nBD2wbYNzDqUNEEWVUoftyaDZ1lKth7eUA7kcCDHBgfv3Wq0me68HC1MF3D7eJoSdqZSq6AlgiANpUOgHNVfpRabq7LSiTjLvh8iQXutcLdX+SxeF0iSVRU0EdPPlxLMhxoDlukorQDe1wF47KDiAugk6qG2T9s3otTvnrK/cy7qogFmtdbApRIVck2tN7i1ZJJgokCpwt6dEpLahoKjsjTkQ06+11/I8JgY197kPVA9L8CWY+aUEhoM9le3nPYWDaAxvXGGCOHJAAPzkh6uiYPoZAEi7Bgd92srhIyeY3rNQD/eMh0E7k3umQZLer1oKU1ZLRd6LMHrG2Mu77PW3AXhobLBcFus7r7XCBTW2hwElvXepLpBpF5QMU960sU9nWqdWN30MaC0DbTpfG+ImPPZpiGARYV15XrHAmrQhTH23p6D2Ozw4SeF1zHtRQJcWoXO1ECDnwZYxbEA/+2HOe8hYp6oI4HhL9n5p7D/ur6AboZR4el+1odPKqL4XiKt9Tai5c8LLr2cf5PNnHc/1vL8SDrG4CCGeVHn5dM6cCLQ9R9dlRYTKceA49tPnI2JrkyMDrW3Wl8mWeh3repO49AwwsnUQq2Kra0LeC44tY7tvom7LwEgMC2LkgkWITIlPWpHs3Wiy5BxCksKQFqSdA0wYSCrYIuSoc5IVbvXewua7YW29Y3ahsPXJxgzvFSTMCwBs8eQBqOdkGNodRlul8/OcD1W/nfE+q7JiXJv1cQpA2+XaWCAyGkjriF0suH+ZWBke3F5Efgg0wknyKveoCbhg65f1OBMAh05sjeIcYbkuKCKe11qXcUsIwSHvdWLJFcQYuWe5dhCdQV9yHtTG90kEKF9ff8K2veHLl7/BEfdgf/zo2XM9bziODet6w7reoFopP/30L9i2d2FTDV0EfOOe/3uOX51s2sQ/BaSanfdTo+3j7YG3n97weHtw4lMrIzWOy/9BgrAf/tMPIhNM+PK3L7j9cMOyJEM50iXh9sMNf/mvfzldR28VJMalvcMSDDUz5fJzBJvr7iI8oD6dGd6J/1dvAJp5/ejCo821l8sNkJ5IXnwLcmOvyEWMqWNKAMGCJrVhaa1Z35KPTD1xMSAGRvPDsqCKKt9yu6DkImILFcEx1VbNr48vB+5vG97fX5FzNiVKHfsxJcT4MAqqD6LYqMmd69y3qchSr4hLGpWXzlUI7dl0bghn8GJEJ39OpdJWWbRrZwWuKtVXfe4l11NiqYi6BuNNgirt8WR6gtBmYmJ0bj9EkTaCfIUjh+39Ib5eFSEoCppAOEBxtd/VOqqfMUWRMS9otSCXjJTYU2xdr/Au4vF4M2SVAYgC74KpzBIlTlZ7Ry5FNowd6/IBaVkRwo51fUFKiyR/PLbX24qf//IT3t5/NqVaAMjlwL5tWF8uXCkoDeodulwWaPVq9EIPFcVjz/j5X37GLFQDKNLFhwnP9I58ZCxt0T3laW7Dxuy8GM/zXr/Whfk5oPg9HWdmRjQQTecXI8FD7ZQIZj3TexfwjAM09WtNaUXvflRUBFDT4AwAByUpWP8yAKM9W4I5BwTena7VXufOm7f9zDmpGgxVWQvaaj15tbrIqp5EANWxjmhffkj+pI6olCjqDGQlCuiBQFn69br0WQaPuA5lSj3c9DlOTAjxaPxWxYWkAkigU/957x27VPHiEwA6K8tqADL/Tv/Vvvf5+uavNckjkLFCirYmUJfgRcy/HRmFj6mqzbQGyHNVRQEBeybyuTSp5GS7ojegCBhVpfWio5mvLuTzPe47Qmq4+JX7vwQk5epmsMRY+1Fd8ECu2I8s997beNbKc5Fn6bzHsWW0Wg1kVfsu3iOnvsk5KHcMGig7QG3UQuI9dd+aKNR+vS4RsYDfJQaEFESUbqxhM8tA1STLwZ7dBK4scVtF4flX+T+e0xWzwN33duic4CTT23ozC/Do62bWxEgcJUCfKooWA00MA9bLyJZQ2TOcks9S2RIq+GjvO/dNPldNe1dK6GA1QHrzTtVQcqfrNyGcBpt/rVSxGuEE1fsI9C4e73yOZVnBqE8XUAZopLFtw75vOPYHxzOe4wXnHI68o/eC3ofvIZGzWAMY1i4KCmrcRUQo4uRwHOwwIJ8eAJBE5NJ7Vp5F70grFyK294cpsDrvhXVBFssZgOY80iWJL3dBPqqxzvheDdB/7CtyBTYVpdrnutkbanLJiuHnvVOfhU9hxJvOo0FbCOhEv0XHyV6PpIrYJHZtuQ5ht8bMDceXxa/vDJSQG2u8XbmT9rFJBR5EIFIwayTKmtC2ptSXc3sSZB0fIkeETrw3qmVLbR3OdXTp01UwtZYmlnjiy+695Tf9CeDUAo/3ActyxXE8UMohVXmeRxwHV6giL4tdsr+tHrpn3m4f8Ti3vP+m4zdVNtUH09BEoeept58K/TzE6kSPWtrgaEugevt0w7ImhBjw+a+fsd93XD9cbKMmQXNqrihHxrq+4PH4Img2c9NbLch5g3Ms/JLiypYZKZoqng40RtYYPaq1IJCTSliRhzgawIWFi1or1gurs9VckPPBC7LQHeE9ttcHV/Fas0STRS5EMdZz07EObqZdVOQtmwx0a0NiXGWqiQjHg0WS9sc+HkQf/SzpsnDDePRIC99LVWj0fqg78vM7V7ucp6/k/4lYgtk79xS0yaAmtqexS+n9q+qAVXDqoOA576xXphwcSJdtUPCC0BPKkbn/5iho//mA9ze04EG5Iq6RBZlysQWBleGEjry9ceAgyRYrwcKesXMZMS7Y98ym5CEK7daN81mwTug9I8bVFpCULlAP1FLZC4nHc8CRH+io+PgxWKJ5uV15kteGt59ecRwbj9djt+qLcwH3xxdc9xe5R8MS6PJygTa8n4QpZEH8+V9+5nNBkUcni8zYzPQZVWEe5CPzOOjOZLk1+KxPAUB/musWF3SZHIAkwt8v2v9Lhyb4vXcslyT0UwVP2ujHmzZnnZutVGtB0Hm173dcrx/k3MXUlZnyNFD464fLqPYZyjpotHrMrAG4MT7sPacA0Hk3NsypqnkSishVqECctPTKrAdaCJv04etRsvSbpIgQHVdLPIEb4YHuh1AZJ0keMUWkdUFYRKrfjTlMNOw2lDLKyQMQg9gtndawiY5FgCdv1DFtB9CAZLQQDDVuR3SqYM6B7TNOo5XD3tkbevan9boOTQkqB2dzxUPOO1F/nXMoUwWv5SHQRA6m2jifg6/RowIgakCl8Xf2XDLfWx+YplobsGc8AKy3ZRJ3kvcVCpnzQnGTnr10Sba3s7ImcKiPptipdFkzOXCFaRkwXe2JYlkHgAXweKx1UPl7qaDIybQv1QzRz/dgnLOIMu3+vtkc5cRbxsB0b0vJJ2ro7foJn7/8hRVYpVpWS0aPiykDf8+HlwRP99Baq9H1tI+QoHvNmPOtDSGl8zwka11iBth4rz7bOeEMWrL/8Crz2iHF5fQao2FrXyJptZKDeg3C5+uZr1Vbekrh6pG+Zt/3cyLcmZLauvTwiaAMEaEJHXPYarDifO9sZcL2Vw8w3T2g94J8ZLNPSeli8YUe+jv2ESXunxbhrv1tQ86HPYdWhjquihk5x36OrXnkPVs7EgABE7jl49gyi9BIHKv0VKbB76jS5lRzQZ8sPDBVlNU/HRJjPz97Jz7rvXaQh9GLAcDDmSbInHgO/2GPSg29nKucZi9SRsVV53QrDdt9k6R43utUtZwBM4KwM6cqKsDXV/YiPvVnBim3c+m6wQygWpq0lNBJwLKVZok2X8Og15LnfAZdacl6SmkpWIcGyYGdC3MhiaYMnsbboEQvywXOB2zvP6O1hg8frkhplWplRc6b5S7KAFUmpnrW5rxDBVRP1c3fcPymyqZWsb76mVEbO6MvOxsu98bUHKbLeNtUnXP4+IcPInCQ8fhyhwsex55xvbG574fbFfv7hrefXrHv3DfJPpcbtGfq9fUnGzCtZZTqkLNWFgUJkEHjfUBamaPvssP2uGPb3+zhMa2WNx4fgiy8Hce+I6YE5z0u8WbISs4VOIpVKXLe0NsVMUVcLhezJ3lO5kpmlVuuAHCQV7Ju3hF95U3+yAX1YJhBEWC+Ns+Nz97zwtJVxEFiz+BEQTDaZGQqGk0UYGebhsr/M4LNldSgzcM0JPr1eTNCNKGbpqolIhK6gBj601COYr6m5AjtULVU7mvT6nbeM/eSiphUOQqKBDY+OJOq1uTdOY9te4P3TJ9lsYfhbdR7QWtMf601c38mruj9nSstvWHb3hAjCwWl5SqBkce2ZQAVREznyXkTIZKAUjaRGh9CSGxjUcGmupz05f1gBElWrvXyAbkcOI5NaIAZ9/sr3r58xodPP5wU1JbrgrgOKpEBPK1jv+94//IOEJ2CJWAgpsNKR/5eqLQtBDY3nn0c6zmImt9Tqxa6SZvc+TQmfk/HM3qf1mQ9REq/A873UHsku4g68Foh4JLzTPUXoQsFvzTJ1ODncnlh3155Bl38Zq1P8wQsyfx0583c2ClT1HdSeHXuJGNPIjpzbDs6ugX65D2oVcToUYR2qZtTWpOpCi5rGpuu9pV6D0eOPc3AaxsraAdLRHrvKNIb6IjgU7Tz+8Cv82FYDDxXM0cCxlZOrXWmKGMknPN9Ama61kgyNRmdn+cJwZ4S1Plffd38N965k7gan3NUgOa/0SmliLiKeXQMZJ9fAGBC+TkYY6uVXHmMOE9oRW2UOtbbgte/c6XBaYWxj7GsAVneufUlpojeiwGC5BwutwuytEl47xFX9nXWIFVpZb1VbO8bPvz4Iq10/Mxa60OtvA9f0W5ia4TuAEgllFsNoginndUZOe/oNrZKLljTirgk7JvqMjytZxK0Quem7IsfPv4BX778VVo0ilU5uXeZlcC/50MTSF5jmOo/JxhcUXfWtgEImCk95h1cEVRhHf39WMvO/a+n6ibGfGytYt/epZ2JWSJt8hzsvaNBqvHdoVOD9hE8s230PWY6LRGBxHaDA3pxRJhYR/PfKzAcQpq+V6aErDM5CysrYFkCSmEFWu+8zHm+j5ywKo1cfRCDCIOxNVpMcdDfczXBKvvspVp/deusoByC2IFMa8fjdYMPTpIlIF0WZhps2dZobqvwcD7j/uUdeWdA2ovat92H1q097LRuqgXJpESuQfe85s9ew9wnqX6fOL12uvHTZ2aQznemufI64a0SfKK3y7OumVkVbBtSAbA9YasNIXlbu/tUse0KuIIANJTcrHADQFobxJLHdSiTSbcfIrIWMKPXyrXV2tjFqTXUIjaNwQN12MtA9x15JqVkEzjVY04CGUDwUtXcDHQAuNpt+ZbkNaMAcaax6xzunenjOe+6KeC3HL862fRumHurmEjv3aqaeoO3942DWjEuP7bDpKA5gHG4fLwgXRKIgG1CIIv09QXnscaEn0WGmG/AZgvecWy4379w2Vh6LJz08GgG32qTvqdqCaRzhLxXHMeObX+zh0k0KFspLWY90WQD9cGBGmFZmbqaj4xd0Fzl7JfCvk8RYvgbHKgCpTRWDAQPlFa5UhtCkAk3oeFx+Bzlxz6oT9BKHdsSdFlsfFzM4BZ4iAAF+zWqDQo5sgb2FIP5unV0e6buCUR4PmpriCGc0Hs2Pmdlt947gvOC8tDo/Zq8rk69T96d+OZzYMZ9W1xtaZXlozlo8iYQcrktyDmgvwEl7xyEuYhSHvI8vCWdtR6o9WCqreNnvSxXbI83PB7vWJYF25bFa02Fo6psCGWqsoyNcFkW1FqFrstjN0YZG3mX983Wy1Zqtv6Xl5cfx9iVv7/fX/Hh0w8WwMbE1MxlTbyQT4hhLRX317v0bY5+QBUyGEngoGDqptpqk8pnsOrSLx26qc2b19zjxABH+N0lmyEkSxCIyOjo3Os1JSZdKkNBqvryN2x7sp8qXK1VAzPUr5WfGQdUAHC5vJwqQx1fo/ZzkjV+NgUGXqmaZ0qq/q2fKpSMXjvkt6HI3DoLznjykGUOl5cFx1Es4FguSQCkYEnlqD7A/B/VVN0FGsI/QqPl9y9wImgTrd9d1QAlUJpLJdM9MJGLp2pUlwqkPiMNHLW6CfAaHbw/VSnn+/j8r1Yw7Vnq3/X+VMUk8SoevZREOL2PcyMx4gim897p5sSZECIzHlpWm53xGvMrTgGsQTWJhOTKrSmfrtjeN+RcQaXCe0KIF2uD4Nfzfa61wkN694NnOpkX43NpHUmeQcpWE/KRDWTOR8HxOLClHZcPFwMjtSJAEri1BquSmPiL7Q8wUNrHwJY/VRRnp4CRpj7YViqW62LaATovaqmoRPDimwiodgPB+47L5QNiWiXRzGiVgfLvXSRI54GfqKsc17Ei9kyFnSudCoa1Vg34VLBzJApnIMX2e/xjoHLf71jWG5a0QiuHHWd/4+djBvbnz/X165wF0rqOH/uO2StUmQb8vUdKC7aNdT2IyJKr4ERhvGZJqMZnX9fruPZWuL3J3XAcx0QxHsqzMS4Ws3nvzcdY92FVCt627av7q3Z5swI0CzF68XsMiGtgervqjESOG4IIEW3vLCJDUrkeQl4zMN2k0vnVXeW9qzQBzRW0lASpd0DEzVRnQGE3josF1H5edx0xq6B2VLDvMjknAmacsNZW+J6FILkJMzdYkIxA0pZmFW9Zc1S/wkexUtFKpyMQPIK8VtdqFRRigIHvS2+jRUHZlPoetTW0XEwMiFs4nT2bSID3hNZkbddqdfAIweM4BJAmjyqV1XlPceQQhGK+73dbo2otWJcbvGfNGh0QXFQ75xwziKEUXLUC/K3Hr042n4Vg1OOsN9j3+2PnatSRUQs37LNYgLMs3HmHy8sFrbLKqJ+MxvWDLzHA07CBiEvEcTwsuHh7+wm1ZpSSWTioNfjAKrEprggpoteGx4P9MGNcTemvlEM40E2QPPGz9GPSK7obF4csfH6WmmdxhKGGxVSclFYsC/ePgji5q6+N0eGdN9/Ly4Xpt2syRD4Gzxu+oCkdTD2aq8X89TBpVaTDy4B0QRQbwZzwWrnfLwQPXFdE77l6KYtgoHMlbDYvH4nFeO5aqmePLLZKAXCmevWOFAIeImqT1gXHlk+IkwVMuYyKwEQRdc5Z87TSDJWGytcklIgKZAk0OCYiUGdKC4+jiT5aWXGM1eM8ctkRI/ts5pwn43Uxs7YK5WEVJO8VyYxYloU9tqaDm/w9Qljg3I77/RUpLnA+iJdisQ2SG/kTXl5+xPs7mYos8+gZkQdYLMUFvh+a2MyAzPbkJfdcbZwPDQpKLuyXlzkZh/SqzH+iQfo8Hr4VEHRJpPTf39Mxo4IhRKRLMrEaDrxEJE2SNaXZOOeQG9ueMKDhoVYAvXds2x2sKDf8iiHzLoSE9bbYxOzTMzr1RDk1W8dXaqxzn6YFUzRaB2bE2kswUXsxL+Ve+edDSEjWkRjgQ4QPCu40W5dO1+fGtTPCrawIoXDJ+yugCelzV/9SIkJM/iRsxpWWwd6Q2IiT3ynQnPcWvq0jyYwWUMrvoHZO9FVVU7/Wnql5DdT3UJous0UU1CNUi2PoKeGcqMvTVDIwwI1qJ4HQekPOHeFp2vWOaa0E0Llq4ZvY0wRnVYTlesF6XUx87/3zXYRDWGXevCh7F+rtRC32PGZcZGDgeOyyFjvExZutSu8NPhwoB6vSX15W+yxGy8MIXp0f9GZdhwb1TnqhjwIfuUdX23bO94DvZ5G2i7gyw4RAoN7GOBDgDUSWHPGz8fj06U/461//G59fwB6e2wyufa8HrwW8/hBdToqvToTvbN5YhVKBsWqJJjASoG8dz4I8/DcBvWf7mY7z43jgev2AWrNVXghjzTTmwERw7zxRbDKNJLlDvTe16gr7PA378TCwQ7UOSjngHa9vpIrxjgEY14FoPsSEGBMKZRNXss8iYy7GFd4F7MfDqLvLMiyslI3UJa45hOUFafty5EW0cEetB7yT9gFwldD7wJ9b3lvBGOcIlCIuLwsAQn4cvK4maZfyDiFElKNYBTRI37MyaPRe++k+P7sm6BhRcNGRs9Ywfo231wLnamSZGEHTDbHXNRlrwUUWZ2vqjsBALYvGcSzDInWEtAqLJmi1Xs7pyYBgkuIIOabQnhbgpjEO4Fw3sctuXuTC/Gk0jaMRQGtRSG26WK17WIv1xvkBBWEoFi4ElKOgLaysrbRuH6JV3WeKuJN2wpx3syvSpDHGVSiyjzG+QPAu8Lmm+cPgeBNf+AXbhv+Q41evlkalVApQa6dnsz/YU1MD0HJk+x44B8LrdYXzTNWJazyh1L13RB/wOIb6rJaCW6/YtrvJSo9FB0gpwfvENFNyqNQt0NaFipPTbIIyKa4cXIhoUAyLqd+psmGIgSlDDdiOB1+LDODj2HAcD+M/E/F9ObZDgp4NtRakuCKtCY/3DS03LNckCpIeODh5VWPrXAQhE/SsSbWWTagFnUjBEJAYAgvr5Ipjz6fAqtaKA5zUttZQhYutTee9a1/YCLa0t6i1huYcAo2gVXtQh+BFRfAOrXvkylQrXahMqUsCoDz3qbkhha3PXAPztEQzLQdgPQfpkuBjwPtP7/DO43G/4/39MwDAhwXOswcr0Bhdl343Rx5uGQkbESGEiGXhHkxWSLxKVZCTgl3EJTQYZ5rKAu8ToggQPR6HfL+IXU6Ac0xn2fZ3E51gm5OxyR15RwJwWV+Q898NRd/u7/jwwwtPUulj07Go19I7e9fWIoFYPqO5z8bWJ2S3i+CGbK5D1GYE06cemDb13E5orfYB8uv7KXj4vRxaudTAl4jEuqJKMuUskVL1ZQUKjsdhVW5HrAJKRMh5Qynr+T0kGLteP1gfuloZmUiDG4EN5Hua6LCGoEsm9pyEqhDMiYoqwgzHzmtR3g/s+Yrr5dXoNV7aIuBGQqhWKHY9EBaDyKizCE2XdU3FcoC4HOZh3Erngp6TKqYo3zo/EiC7TlmL58/TSoV3I6jR8Vzah/N1zYktBmtopuqNvz8LWujv/dO9tHtq85FQZX9SOxRlkDz3xHDgDeTcpvdiBJ3fUKujAoqKbYhSmIm437/lQd1yzgEpYiGHHeAesAZOxC4L3l8fNn+P7UAWpfSZ0lZzQVqjsH14T5n7HrWlpbUGqqy6rhXQuBy8F0Su7OuY1QTz+d/5Pvcu4i0YibeKo3GQX6x/F4CpIOsY743Fu4xpJWuZCRVabDGEZRpVfPr4Z/z0078Yjba1OoSCJhuo7+1w5K23ltlezu4ZbAvp6LPpnxzaQzaDngNAmRkcCqB/GxzVv+O+4ozt8Ybj+lHmhrf31/7M+eC9a2YBfQ0yDRVbrlACELZbhnomK5hvFVuALczk+ppQOH30oh9RWKF2WTBrgsTIApWz1ZiKwqmlWikZwUeEyF63KuSTc0XeduwSW/be0V0Xv0i2ZYECho7V9rmQUpEmhoMBVt4hxIQsDDs4kiqoQ4gRrTegFJuDPo4Knd69+ZkqIKA+lRp3mH2MMOyY2SbPFE4scBxaKbas2Ribn5PEG6p227VoIL7reu0ggCpQSdTQtc1HWHVG/fUezXsGrpz0lssY8d5LrDMpXT/FNG0SJFORPF2fQ/RQK0uLd3X9DwEgFjkjTH7Kcv4illUMlPL5WqvIRxEbRO6fDF6ZlmffbRaXcjiOhwAxPA+Pg4UqY0inZ9fBitM97wYezfe9toJL+KAP3ObLrz1+EzSnYjBtSjTJAXUr2N83zsrrRKHZd3iZvLMXnA9uSrDI0O65fyLK4ODNgnnN729f2KrEe1ArIvpDCMFz2Vs49ce+nxJhroIeE8qUkHNGqVw2DiEhhgW1FeSdN6rlsiBErqRV6X9Rqw1IgK6UTW2qbbXBhyAJqtB5W8V6u5jwRUwszV4loYprQs0V2ztXbl3wQhUaFUUipggoR31/35C9x8unF0aX3w+4peDYDqRlSMmrN2VbkyV/AE/OGPwkZU0mPNF7R20AuX6inD0HWnNFVIOrINVJ9VRlFeBzfxQbiZNVLw01E6EScoQPf/jI1A9H5repTdlEXI1lBJLpwzlvZoFzHBm1ZVn4OZjlBUreP66IKRng0CgzoiTel61pVcRhXW9y7aP6vqwX0O5wHEkSMa6Ot9YEgWWa9r69Y73sIjEduEdPkocj70hxwe32Ce/vn62i6oLH9cNVevPIGAF2zzPLnuuhgdJz3+b4PZ3+XueuCga5/oQIT89DNzMdgxygjYZ9peWeJtrv6OhoiIl7bchxL7b2dgFjw9Q1DYBYRRwD8SVntLTj2JHSfgIMFNj78OkHUb0d4wEYiRSmecynHZVL7RfVazKFwOkcPqh/pfR1e48ma40PAXEB/vlv/zdmjEi/XUgBIfpTb3g5sgFeozJ3tjma+9iVyh2XxAlJZwTZFKmlSuuCt0BIK6GYkmwNMjQZsCTfudP7zII/zxZez8nfLx1zv+e3AuqvAlwQQFMFUyqUWvlk0Z/zpv48l+cppr9qrRtqbveFHCZGqr3Wp4DYGlrhHsSYItISLCB3jr2LuU2ympKwspT2+26VT61IlFYESJHkoHUcW4aPTNXy0cEFh3RJWG8rq9XXxv23Mm6JRm+/c04EjgbN+/yZ+ef5yAhR9BdqF+GqAQxYkNwakihFDx/w4W9dy1i7SCpW3jv0ywtu1094bG9QWwluxyno/dw/9T0dzrOdCfdcjiqlHme/XQVZuLeT20Ga/e5bh6pr6zHTAZ8TQvUSzOXA/f4FKV2wpFX+fq4ACsuuV+vNG1XLZn2SbI1CcDI5NGnUdSJvLMBili9TISPGhemN0zgNMaC2huPYuAhCDdR5rTLlTzijo/beuS+/cstV8BFFRX2kPUjVYavY5XH/q5PrEk2LnGWtY/A7BtULIEmimsRQ1kQIHzzW2yLFFlGIVYE28ZgsooKvcdi8hmmvst4rfV5EMDsaFxgk7E2YD1HiQfKWeKIJe+85zoBUzmmqtMk8Hf2cDmlJosjNo2eMHbBFX+9onvvy2X9amDa5jTGh/Zjew3XWkWHHgyLCRJwHOtetX5NIxNKk7YPXIgGQRYVd6bO9AxDGZ23Nqs4d2pd+prASmNrfMHpedR9zXhmCO+c7kvwNkMQjpdXUZfmuaG806z6kZZU5nS1ZDSFiZme1XuE6XyM7Lrh/81743zt+kxqtHb3bw+mNUdEipqTlKKO6N/WL9NZBQag94rPFalVjAQopIHqPJQYsIeJfL1/k5xH7tuHx+GILyvXyAR3sUbRtK5xnWinA1MYTeu8cch5BEJHHukZWCG0FKV1ElXEoe3nP1UALsHXCSQDjQwC2MfEACUAl2QspCg2Cg8ztfQM6o8q8kWeonDKbuUaE6LnfMnCD+bHtwqMONmFy3lFLQVwStgfzsWutiK7yproMURm1I8l7HqislPJLawhC+fLOoU5IPf9MRBSoo3UYNay2KagVKlj0HrU1LBHYhFpSsyDPfizSqnw5FjyycVClj2e5rKw8uEiVWqgQRaosYYmgI6OngGW54H7/jMf9Tfpfm1QAvKnFllyEihhEIbjg9ct9UnBTtbxmE/ly+WBqwioR3btQqkr5qrdD7UxKKXg83nAcDxYC+vJXAMDLyw8oJaPWbBO51Izb7QfZRA6uvreG66er2VvAEasyttE/mcWvSZMYR14qGw5Qpbzp+vTQIN55XuBccCOJVJpulX5e+bpNwZnOATufod7/MQvT/1EOXqw5GIlLksoMU9319qiQilJoQwqmQqu9QZaMEQfZtWYcx0PoVkNBNaUV623Fcl14rWzn+TTWtGkjn1Ro1dIEOFf1gFE9/Tqwh/V5hziokd47UHI29kKKQzyhQe7H5JWmGzAE9fYOXoQ89NoZYJPglQjUBrADDJBSr3um52oy+0y3xzeSlbliOVckW+egxjucNtkZYNOqpN0zwILD+WcGzkzgllY39fcj0Tz3dHpHKE0rEl8nmB3nqcbzXK+lwWMCEQgzk1D6vvn5qN/17dMN7z+/4/G28T0gnChuQ1QHKHvGo3Us1wXpkqS3CHCdBUP0+ao+gN03H7DehqL3sWdja/D7SIAr5wCNSszzMa89eT8QElPYa62o29kPkhMJVo1PlyR9myOx7V1UaYksuNbPHmPEpx/+CY9/fhMAcdDjv2cWh3qF6xgFeK07joJzojl0JdgN4DCxs3mAzs+Lv28DAZl+d0o4nBcrtNF28ni8gqs4abpWZ0rC/LZjbmtC2tFBrEplf9c6m2E8A0IWrFscwOdJabGkZcx1nvvb/d2AEQDi/92t0gkQ1suK1hvKUblyHJS+rwkDr6PHdgyhy84ig96fK6NceXXwfh3JMBrTaWUdYf0OYZW1hpAiswhDQC0Z9ShDEMg50TlpyFtGkPvIHrXNAJtnMNJitj5hpfK1rs8k/Zu9A7009MpJqGvM5IH3oF7NM9hZrMn/duposp86NxgoXdgdzhNKbgjRIUTpH5Xh5b3n5M11sdrjdUb7TIkAbjHgfS14jwKxtnEEIk40gW6td9C9ozV0wJg8XgSZtNrpA4A+GGOtqxidgJ3yOVuZgGIA+ThYy2YRhlCp5tKgyt927+XfIFVLbcXi6/RQ4aKcD6R0kTntDETRvxv09zG+1eJx3Gz8puM3qdE6WbDV7Ls19u8r4rGpNiX7drAlifYHOqV3KVo9Ht7p4gQxWkLE39/fkIKY6jq2B2DvI0ab9KZx5i50Ixq+iqUoDWZU0ACWiua5yWVoRdz071jlKiMfBN+ZEurg2F+TyGT+8/2QnhuubIYYQJlwbDsPhhjZwNpLg7ZzCKsXtSpY4zMRoU72ASF61FZxPHbxd+rWF8pCRAdy5Ybo++vDEr52KVIBUAoEJ7mtNHRt8NEkxTtTnNXkMogxt6FJ4IAoKSoEWRyJzc+VSts6o/0pBGw5m3ANefdEZSNT1dVATiefvc47FlyRiRlXrqSwGiOjRK0VJuA7mhZ2fn3JHbVxhbKUgc6yYFASAalXvs+S0NvC2vn3zokyHAWUtk2KlE5Ef5bpnEq57tj3N+z7A/v2jv14QFWOH48viDFhWa5cLZo2Ou8Dfvzx/4S3t5/sWpc1IaZgG1HDJMbVu9G/WJmXpqrW7GdG9v3o+ZKENTAS22sD/ESVmtSDeb5gSI4TnauY8iz5nN9vAPatQ8EJgKndbNVQzSpCwROjp2q/Zs0sDiRCZ3roLWXhh3dJMC/2muv1E5YrC4EVFPMetHPQ6A3lb0dlaE7a9LDqj3dGU/RhsAr4mkRNdBKnCpHFGLxjwSOm+dBX542J56NSrE9929N6oBv2nOxq0B+m8+q9nKtheijFnQXoZJOfwEH9bHMSeb73sq5MSeD8ulNCKof2c84J6HPwqsnkbKmivw8CYlplkzg+sYqpULCnkwFPatF6vo5ulOrjyDwO1B5GBJLUnkiTx7QkdHQs1xXryxVVgJLjcQjdjsXDmtijeKleo3fuMXLcWoI2ghES9khaEtO8SzORNn0GPD9Y1+H64fLV59Fn23s3uvhMW7UE1jkR3cuIS0JaImquRmEHeA17lA2XDxcsl4UF1coAYEn2RZsjSh8MHrl3fHj5ET+vV1GGHsq0M9XuezqIWBxoZmEcx8N+p//af9B5wYq1CppQB5RJpH9j82JOMDHmhAJGrQGtHRbz6HEcm8RpAqBCVfXF6qTP4kUaW0xze2rPAmAxkAKtEKpll541cpqMBYQw3ldBWCLgeGyW7DryoMmCVdtxuC0AktxW+BDRS2PNB8l6YkzY9wdK2RHjOl0zx2Lec+/7se08v+X5aB8p0BESU9ZbaejUQLSy6I3zSGvEIlXNQxIvSEzAnQ0s6NNahYvnPYP3AI05OIFHLgYMtd4wFaqZZQGxSvIOvSpIJgBAFbZDl0pva0DF6f16lySoiOgoCE2AA5QC77mAgM4xb8mNwSJPU1EIBtIzm4+1YQJgCaeOP+c894tiKhh1fh1rs/Spj5zG+dGtl/S8xzqYxlbvaIUTxxj9CfANKbKqbilojX1cqXMbRQjskWlCb8FLocxheLSyyOW+39Gl+KasRx3rpRzmHUx0hyOP0mXMCiVd56SCftr3Sc4PAOk3HL+ZRjujXOXIgh6oKhkrM+2PjSdz0ETA2WYS4vDcAmCBT0hMia2t4f/700+oveF/+1//Cw9MqRCu640FgWTxX5YLQmCqKvvEsGqY3jg1NNUEN6UVzqlVSLeH0rvHcXhJNJyhPiEFrNcVx4MbarXidNx37NtD6AxJKhXRFrFaK3wIIDlHuiyWaPfecGwF+/2wqltVuqmgSbU2dDS53pEsqKJqSp5ptYI6+uDhQ+Tq3RqxrEmkq7mC5SXxCzEgOGcCFxZ4OgcvFAPvwIs4OkqtSCrJ7T0csfoim+Ky56bXhUkmno8B6ZKwXBazPNHDece0DBqTW3vJQMSonJmAO1YNpA50qcRJYkNCGXEkzyywXcmyLth3IARCkLHnl2TBOyuxNksSQ1hQyg6WxR6c/+N4gCgDaIjpYuObezdZBMA7TTQd9v2BbXvg5SVjP1gRN6XhoXW/vyKEhLRchDZbEGMyBPfDhz+gNaafM6Uw2PPRRK9+w7/RjjkQUHl33pYNoLKEs3V4J//6sQnPAUKde6GmYMEQTeqc8E+I7+/p0IQ8SGKlVWBOOpuh0SSJIACp9lerggMy/1QYojVs2zu495cBj+AjPvzwwRK7+Rl9K/ma0dLnRNOYGTSqOKcK4PR7ltZvp9c6Gp8pLnEkt5pAciQzhBeg4lRnUZBTJRM4VbHm+6WK5+RGFXROCgCuvrbJw9l7bx6Peq3WPyRrl1Jp1VOXpOo5J5rzPZvH93Pi/vya+fdmnyLXU6kbWVavcbwnGapv4+Ib8+p0fsd+v3bI/utisL5e7xwaEdrBPVIs7jSoXy8/3Hhfkf1Vr4FtUYJqX0jQyN+02tFch4+OFSJz4aA6ePNfddIqAUmGdSzpc62lmaCUfTbHz1Ur6nS6H6MgZtXLqqJnEWllFXzrZyausO73Dct1tYSUHKEXZXCcn6teH4PDCZ8+/hl/+ev/x8DoLi0W3+sRQpTAlCfLsW9DlGcajzwnR/90yYe9Rg8FWkelEfMDtL/VPZe/rqd5ZOdolbUvSobzgfsLgYm9o+wO2HmVOYJTT/agpWpvGyB+4Ko2TJ2tKXrHki72HgpoE5HEBxuAht5INBgWOD/WWO+9WIiIKrdoaqhn6MC+lM47zq+fzfqIS7O/s4qo+KwrVbNLPBuXZHt0TBGXG1e28n5IEWAkduQDvPModUOvHW4ZwHQrlfsJp8/MVNEJ9CE3isbEVFpjDgi4xesss+Y6OloZwGGv5/iid+4Pr61ZosWgEzEVNnh+H1GydQokCIXjPAZglFkHSHGMqdR6brMry1WKPnLdIqbmnEdDZVCwiNK8vEHJFV4KOFVYHlosIl2snIN3rKDbu4ruaRXfg5ooDTfVn2k4jqG0rAKh5B1CD5MwkIwhwFRj5/VL/y0lY10Z0LBrAqxAUwqDRGq5Nlf1nXP/0J3i33r8pmRzXqDznrmfUhCAVpiyeWwH9u0dTiaoLSAyeVTQQTeTWhuSlP8Bvln/+ref8V//1/+Kv//z3+W9uMwcY8K2vYtNQIBKHANklQFGnJxQZBtijEjpagEdoJOZE4wYFlGDddz76R1voJ0/U9nZ4Fl9gTwN3yJdEELgRdCHAE/A4niw5C0jRI/7lzsr5a4RtXCQfuwH3l+/4Dg2LMsFy3JhSwTz/eTez9a4N0xVf7liGlFrhxfvPh890oXV95bLguW6WECmcvMxscLvEqMlnFUGfEefJPxH9VarenFatAEJPNGNK18qT8olBPR1QX654PXvrwweQJAT0oDQWQIaEiey5RAT+wZL+MhxcOl1yJU6JoQKpOiYcgExJkG+WB2OBQ6K0Wd5QqvK7YHemeriXBRwoppoTs4FQJFqspcEQHojADH9LnBMPhHRDKYUHceGFBdOaLvYntQ7Pn9uuF4/Qvsr1cds3xrWywvW6wX7fYcLCrwMimQtVZRAm9lr8Gb67erVL89fsdCBG76nNBC73rtUw4egxpxkArwgd0C8On9/AkFzkJQWlqnPW7H71hs/IxWpUVGDmiuLO039QGMd5F4bVpXT/vIFy/WK9bYiXRIDXtM1ACMpmQPB1jrbCrnzNVuQMSWjHDiO8tSMMM+J5lxVigvT/TGNOd3M+DrOSZILDq6PQMSEjSSxfE6I1f6p5oIhdDMSTQUuS+b77Sa1Wg1EdD4DA5gZm7Xcvyk4mT/j/L2ObROemI6ZRquvH/d4JLRE0pbQG2o7P7vnv1UqmjxNfSN9PJje7qv368QAXMvDt03yPVuHLZgtDX7xuH66Ih8ZWe6hUvRb66d+exXYUdsaVlj31qvkvLOKLTmCCwFzf97o0/Xojv/eh8USWb3Ymap3EqwisuB1BOQNbef3UBuWJjQ3HdclV6TWsN5WbO8cmGkgzHN49FCdqu7e4cPHP+Dnz/8qFc2GUjNCG1TO7+3wJwaTt+olMznmRHCIifXerRJpc0u0Cf6RIu08B7j3v0xzTcYROQBcdTqOByd15OD9OMc81779Rlz95NdMC6LNG2WBOWibDENmDh2NwXryaDTW7E36O3WB5fna0BonpT4GmS+ikkpk4lo4xjo9uyIADbUOZfBaeX4V6dtkH0xvuiHeR56fwcN5wu16k3unQJKDj6yf0eoo1pBXmrpHWkSUqBWxSOG1srWGY8+22Aw1VzK2ylw8Grd6gEAg/uycHBJa10p4A6oyOMAiPrp3yXrnnXjCC9sGAPeBOweZ3CCC9fgrflGnmJGUeek4ITbdEAzBI+/ES7ZUqYQyAMFVTenXlD5cl2T97138M7ktQYXIAFhMq+0z3RH8EhHkb3rvBsQS8fvH6M0WEQBK2YYAlN7XzqwdTY6996IY+85jbNJ9gIxdIgbG2KbvwsAAjZhYLVEUDFJV6d7mef5t8bt/z/Grk00tJysSmvdDNqUqPPtm6HzrFcEl2TTOi0GS4Kt3mPqW+tDphNb3KEfB209vfGMaq3fpjWWBlyjoE9+g42CxGOdkcoOEZuuwXBagA9tDLUSkIumH1LWXahhCMGpaa539zGpFL6rs5YXSyQ8lHxmtV8QoiZ736J3pxUetllCSgxlnq8gQ3yO1XeEBm1KS87KqrZrhMg8/ICwRKA2oFfnIWG4LUkq4vFxwebnw9Yn9gG7cfkIA56BLq5wqKT2QK+bKz4j/OAcBIiLUoVYBbFlTm1Kvgj3bVkcgCO3VFuVZpcjq9ewPpiFbhUTQq7gwfTFUjyaTPC0JOa9Cj92QkkcMEbkUEEGqh01sY5wlT7k2eM/oofcJIQxqJPu5Qp5HRimymNt9Ixz7A6UUONfgOtMbnCqzOZWJr7apzON6Wa48n0RlOKVBn+HmcFXhHIHQOZloJ1n6eSOdAzHIJtg7U+k6dUswq3PwYVQtNPhS3ygV/9Fr6h2DImrXKmyG+vtKNiELcwyjAq3JpNrGkCCwTCX0puC5ve9WHdFEoU20sVoLi044hxgXvHz4EcuF7W/U5uFbgbgCdyQb2ulyp0DwFBxMirbqB6oJzTcVamVMhhhYCTXMyemUdDE1wgR6OPB3cGkEqDq39V7xzzmA0LkYUjShoPPn7GhKv5oS1/nQ6oIKPGjlkujsqflL9wmQYMAP4Y6TmJqcR79+evOvXjcfZiE2rbP2p1CLrTH/unOgNjxDdc4SCZ1RA//W+LM1DiohiaYBEG4YRGhVMF0WXD/c8N7e0Bbum0fTSvFTRVruZxbfSvP3C56rFGn4tPbOvsMn+wwJ/FppONoO5wjLdZHraSYSaOPCPT9TYIhvAdTEt1aUG+OSOBZRP7rW0TpXUbU1Q9cwrp42/KKwmmcrrJeXH3F//2IJ50xV+54OBjqU3SNVRQNFzwrTuv6oyIjeEwZweAwbKqILiu7vSl8Umwy9r0xjPFdG54P38DtiTLYHzi00BHdaSBRwGOfrNmfmQz8HU3N17LLVlFqagXRfZzCwtQwVKdJ1BmC/1rSKeKRraI2Fs0KcQ26elKUc1munOhG9d4k9OG5q1Mw/PkYHoJvuiL5nuiRcXy6ndYE/F+87rTLNdn1Zsd8FbCkNGQUrPwislxW7ApnybEMM4qErVU4i8XKfx8ssxtUt31FK8QAx9Z9vgH2jwMy/l3iVn4fGGJXFHyUGRpO1TWj8upd02XMg652b1jv4sSYb8ys4NAHR0HR9GZ9P/ToZxFQgRtcfsX48uCjlgh8iUgIuaLGHxw/HBr2xjcms2pzWBbUWlMyexfv+wOUSxn7UOuDFWqdwHybHjueq5iwepHFbLVn0aAJIBFKriFTpWJ9j09Z5Xiktl2Z++K84fpNAUG2sZJmPYhUWvmgugW/vO6vFSgOy9+HUX+SDw+XDVSi34CRVzFdncRI97q93vH7+GYqcc8/baGjlSsCB1q6sEgug5B21H3AuYl0vSGlFmBRkFSkyY1sfbPKyMlcFBDlhiWUDY1Brw/b+QBCfJACi4FQMxVqwwCdNFLJRKhUhQu+oJhTClTcWAHK43j4AvbM5bWOahg/sn3Qcu22uPgV0oTqEJWK9rAjrDiLg8fbA9SMrml7XRQZRf5L5H7RXG2zyfA2NV2SLCKVWroT2hkCjqusglTKnVii8ccQUOEj2DiTqlYz2dPvZ88KvyUs5MnwIHHw6z15pohbmfQMS07d9Cgit4YoPcM7j/X1UBRip6VYdxLSZ5VIkmF8BqFqo9P12CFWWn4fa+9SWAZDRWwAWkth3tuHpABgl5c+SM6scL8vF+Pc5byZKtCxXqX6yyJH33Ge13FYc246XH1/MLmNUpWDc+nlO6r9z9cmCA1EL1N4prlw2uNDgmlJ4VOxhoG9jE+HPb4bLT+9fpZH993SEuIA9BCMzIWQOFWF4zH2u7EdJ6AevmypRDgxkXlWMdeHf9ztCSAgh4uXHF1ZL3LP1sM2KgHp8FTBPCeC8wQ+gqFvvkgYO2s9SS5VAYPRmcfLsLXAi4mQVjmQzPb8HaFQtn6+D14Hz9TB660TZlywAmYMMViIcGyMwvJHtMxChWdxJpyQTwClJnJPQ54TQPotjGuwsiqbvN3M95r+fk8cZoP3W+fVmDgGMERSrJQgnnMQ05Wkt04QLvZtxuDx6QPZScjrOnuZtq+hHh3MZcfG4fLzABQ68zeNY5vaxiXjFy8XaSXyKaLWhiKr1elvFpqCD/Ejg0hJMDBCAPb/gPfbHjrimoVTcxzqmugJfU8cBs/ahUVHIe2Y/7pUBCkz9RuXIuMh+qAG3UhqJCHgCPbjKwcHup09/xv39C3oTNdrvmMWhmhVKpVW/XwM4T3vNADeVsmprAMSKRyullgMOGisAK1DwS2j0fT6pkuj4VaYagNPffXXMSSuTv6dfTcgWAHUR0Gvu6FZVmvd6jidEyGWivHKyza9je6CEmjNcd0hhYWVxGu4NvTepaLLdGdtkQIRcPGqdlWcP608FRAimd6TlgrRG+BixXJMlQlp5AwAfVMWfGLx3hMvtivuXd5ScgQzcncPlA7/vel2B9gW9NpTSDDQaehbd2kPss2uC6bqpYtsDl7VHb7XFHzJ9GMwMaI77Mzl27ghWdFHbFRHa84NlY2CqrIfaXqUq7p06fAR6PXtfOq/XxTE1EStv66l6H6zrBjoJl6pOBiCFHxU2MrbZuPdKf1V3BR/EKpEIehYVbNNDwQ2Ae5SJHC636xjHvSOEBSkx++7xeJviwi5J4RDpIsjYbFwAiyHJeVXnZDxf74Y4kMYiv7WiaZ/rt/zxXgqOx249DyUX25TyUfD29jMA2+ZH1j1RtdKFqSj7fR9BjQTTLjjEEBCXiCzm9VzNHBvzWAAqatVfVfQeJo8kruA457C+XJC3jF2cSkcllGRhhVQ3WXQmLQnpwj/f7juO+7zoctZ/7LxphcCV1dYajrzBecfeoo055j54uKa8fVk0SsXj9Y5te5PqmMOykFHuuLw/AqKwROSNK8kxRpSc4TbxJnOEuCZb9PNRzEtRqV9KfdIFOsYAR4TgvagysuBPcA7Fkk3YgD2hUSHATxLVtTe0Dmw5WwWA5H9RAARAqjxBkdJmtLgZsJg9mgCuTIY1yPso7Vaa00Xim6u4LPjkyIvliUMpP0MTSa5+d1EXZtTW+6HYyxNsM5/WlBKOYzdUp2NHzkqjdSLiwnsaW6bsX80TEmCEkwil0haEoIIHCcCCZbmy6pwsGst1ETVipnSrj5wPHsd2MG1VfZ7csD3R97Sjj8WPP2M/0Y9aqWjOnRJFDeJVwVgRQh07liSpfQ6A0P2pJ/f3cPCzaoOhALDlU+He61rbEEaR5KxW9n499g3DEL0DfQRzWXqfjuOBdb1hWZilkHR+VxWAGBs+999qckKjgvCN5EYTGEOAW4dfJhVYokEFokExdZIAehUQk6M17kGcaayne9S6GG1rAsGBvfYOQcQ5AJxtSghC94Il7+RoHs62p8xVXCKuRrrev6pezont3BLQ0TGd4rTeASqExgnpPMpt7ZgS3/kezOeYE9HnxHv+emYMEElVuQ9hH32Nrj0cHI0100RXoEIbHYHkHvdugVY5hOrtVAU9sB2XE/sSz3sNekfO1caeWi4x+s0tHLjw+x/bgcvHC6D9Y96hVQ621EJFA1fnHIqcNx/ZKvdz8GTJjQh9nKpUs+CUYwE1VcBNsleaaFnvyEfBWhsuL6v5X5djUIT1PF+BMt7hcrnh9vID9v3OOhHfac8mPxctEHjZu1jzQgNRqwjZGBdriVq+Wm/GvRwKtJpo9lZZXOapemn7C75euwBwkpYPE9rTJNHeuzOD4pfWvvH1AHast3P6HdvVnVU5vQ84jne0HkDwI2nufLUhcE+9UvfNd9JzO1U5RMm+Zq5goVtSOb+/sjpKKRxBiwihvs6HgGVdsNxWAZXljilY3IY6dFgiam24f74jHwWXDyuuH294vN+lBe6B1juuwoTrh55PiibXhanptRvIo6r4hT86+2bWr8EB+0zEojdVElNrE+idgdhKQKjoUwuTzV3CqUCiqAWzRvvU4sEaItoTSeTQnUN1XLGm3tA1oZUKp/dOdFHGZ8MvjJvzmi0UWIll856/Attbb6AynwNQyzFIfNUa29Doeu69x7KsaI3dNvbtHXn/YTA/ihTk+mqtgs/XeRrHknuVknG5vCCmFW57+2qs9z7tG8LYUvsTPO2Fv+b41cnmXgq2fNjNqpLp9daQ94yH2EloIPx8kCQHzrHP5s9vDyyXZHYlHASfH1zJ7Avz/v5Z+iuaLQS6+DHlqKLgQAgJ6/oi1Sbu3dveHow+9CoVxMDoToD1RPbWUXuDB+Av0SSNe2049kOu2QMZxnVWeolSvZhyeRhaltYFPjjkvfL5jypN0hX7/i5l7h0ICyenxAmGDnoN4hTtNopvayKMwEFCWiN84qQjrQn7+2bBbDkKK0cKuqwVziEQxAuBHs42CQla0BGBoQo8DWqukDBKTgy4W2DlSHpzvUPL2gck5royfhxxNWNGixXAoEoDqRPKrPYKxBTZAoUCT5TegdtifWT7fcNxHIYQ8XkL9v3g3o9jF3SH6bpKzQGAZZmN46ugu4yfhrggxQt6557PEFh4qLUuVcsij6eht4q9FmShLqh4FSPG1WT3Y2RpdSIyv0KAk5SwxIHKTYgioOj+t+iD8nkZKjT/sd670Sa7JpF9mJQr5cPQPBk/XeZ5r8+BAUBKof+dJZsAj485CVRBJQOJ3Ggf0N8fj0PEo5opvXVR6lPVbF1Pai243X5gdoUK9HiHmgUVnfpo9Hp6G2sG/24ScPjWIRWi3vupB8uqhpGTDxYfG70pTCEan3MOLpQqPyPgz/vVacPTpFzXIzdvhjhVIedYwECtrxJOmT9T8jJXNVUE7bmSOavH6v3QQIN7vnCi1Fo1ls6WKLp+VgFnTgmM0Mjc0z3QvxnALCeG3hOIAnrOGH1nACBVXu09bM3advSzKeW6OwZQ9eM2CbD0/VrtQFJ6ccX6soI899DnUmWdCajbwRWboEIV/Ox6Y9JqyYR6VKy3Fc0xHat1pgGSY4A574fZL7VS4WPAft+xrOlUjVLQYwCm9XQf59eZcnZrDMYuiaubhfeQLoIghzADeBxNa6ob4DXsOfQByhDh48c/4l//9d2o8N/jwUlWFB2MjtoLZquXUckciVZr1ZLS87nkWU3V5TnRrE16I2fAbUoaSfQWnoGb1iqOvOGFCFk8seffQ+fPPPeNmeEwVyk72lfXBsCKFURkSR4AiRtYSJKoAZ04qaABkuVc4f0A9R05q3K54FDzEEpqlUHxlFiVmZPZ3VhJpexI6cI2W61hOx6IMWG93uDTaN1ouVgyg2nt1iRU/bTzfmB/7MifMl5+/IC0RDzeduTHgRw91tuKPrH79HOnNZnzBFcax9oxg1sqFqS6InoNqu1B07/zM9O+TXjWwzDxHoJVLDmx/Badk6wXsbuzL6fzJDRwoDeHSk0YXryfuuBMZ6SReDSLlyYgjCSJ43l86LovI5SIgRjrMybUyuuexlkA0GtF6cLsU+G7Ukfyboq9Wr2MRjE/jgeWq7ADO197EzeK2dOW6GvdjG7iV1zs4DiTWwqBIeh1Ar7lGpSqewJyfuXxq5PNI3MPogZWijq32rHfd3z58pNMduGzPzURO+/w6U+fWJVRhDRY3OZMSwD4gahPo5eeS6aXqQIo25Nw83pm+uc8HgkgeFGtPWSRJOEqd670a+LquE9GKUGtNLx/vrPwx870tlo4IGRaYpkSTKVJ6cOtIOK/8YFFj1prqPtuqNVx7CCwhUv1w54jJKno7hkdzRYK9A4SE/WaK3wKWF8u08Qdf3/7dBu9kWAqcArsXaoBFSecHIAcpVpvpneOE9lp4DKFrKHUihjGIqfqtIe8NjgPAldFcy0cuHmHtKYhR1+qXZdTJKl3ocxKn6aqBHYRjzoaXOiW7Gsw3Xoa1XVH8ClyAhS4CpPuiSmusrHx1wpUODOhDiFBq3nOZdQaThNX73FtDQFkldPeuaK9ri8wCkKtAKTJWmk5soDohFbEc9/v+PTpT+i9cy8xhncTkXD+pzGpFTRNwFUC/dni4lsqgK0OMayuthl1CMEAGPOxj0b33gdtdn4t38dhnl2fEtHv/dD7kVYJRjoLnqhAiapKMxIt6tSZhdO497yaoiIj0tXWIkiPSAgJMUahcnfrPfzWtcz2I/PB49jB+VHVtMBMkOE5kdXzAZBr8Chl6pmc3meuomqQ8xwQOBFKgCOj7XJgcH6NJq0WM0qA2DH8FpV+OQcr1tPtpypiYzXUbyWTM0pONN5n9sOcX2/sjdZONNdxDrKkck7Y59+fUPFvXNPzQUJBG/eHQcaeC3NxHIDOVWFS0RYm6Xx1KGCo60TNkgCWIgI+XNnpzUsFpSEfFSkFlMsyKKeyR0L2u7REY6qARv/YsR1wnpAui9kbALB+YOc9e/3lGZRjKm5ctHdYfH9pEmZysr60s7gVJ9w09ZazEEpaI0qKYz8XQSMFhxiEHZ7bAM7AneyDRAyYXi7MMuB+ve+3sjknZ/qz+Xffet1zhdISjYlKO6rVxfalOcB9voY+vcczmMqe40MFXmmmQyjwvAY902jnI8wAulBoZyEwntPMlnt7+8nADz5vBRELDzI7Tim1TI/kYkweLWRN/YAFWOsRHRWPxxtTaKWNR+maQxVf+/LET1uSFAVryDspQnSh2k/g5pYRPIuAhTVif9+R94wvf/2CDz/e8PLDC7bHxvPVe7TCn7mW+bk4E4vsnT2Xrc9fADS711K5HM9T4mISyn/vpz1EbiQ8HErpAKS3PwC99sGK+4o5Q4Cbkt5pnRlV7gFQis7UYII9AachBGYluYqaFUQhaCsWMNYdu+zeDBCbF2wWN3LDhguDVqtjQz3mA4BdWmVdcHDVm/hPztzTu993W7fYyeEZ9J966p1D797yFKLRU70sVxCNQlbvXK03hkBv6NzbglIOXC4v+I84fn2yWXVz6xaclsK+mm8/vaKU47ThzgEqEXB5uSBKgPblb18E5WzsK1kqKNK0MHGZubXOstSSgR/7w84/lMSi9Bu0KRDWB6MLR0UIq9x8LkFzhbJxtXNdrGpGjrA/Cpx3KIUbcTWJZpTVIwRNEklKz4ehBCruAfBACzEa7daHgL5vlgwzesW04nIUZJkIvTZk8S5Nl4TgB2c+XRakJRnKmo+CejTkfUctFbePV5ZmFjGPIq9bAtNnHZHRZTUIC1rhILJElAMpaTTuDUGSVOccUvBonT3jDqOOnMUyeusIMaBfklBJ8kSZHkAFiHn5thBZQurgF/EwlcTHkzej3CobWlwX+Cq0aQnKY1wnBVpg33eEwKrE3Oi/oeRilWh+fk6esdCNQ0QHU1G8c9LHGdDamTarm1BMEd4nawDXScxCVtITKisgEeHxeMPt9gMnnNfFFkD9vpVBXdV59a1E+PlrPYfRmwgybrlPAa2jO65qOid9gJMAFfqgz+rzGInnoJMrqve9imb8o0Mrm4BI50/PhdV+vfUz9spj//F+555zDKrRLyGHMaZhTwKWVS9HtoRND026tIHwW0Hc19cuyLEbAj4ARt+JBpbewU0BvibQc+Vg/iyzsItV4eRnLvjTWFaWg1VCCZMaNkx2XZFxTH2c83uNHky59/IewwO42xp3Xp/om/d/Dqzn82nyYff8KenU+wAaVVNHo+9dv//Wz7xzKK1acG1Vg67EDrEE6R3UmlDBuiWTfHnz9ehzHkHzLO4FGmJTAJD3iuXqjS3Rcke6LFhfVty/PBC8A6Sa4sQWowuY6Dy3aFRB6/c7j/nlsvBnC+q52qb7JMugUOuO7bC2FR5j/VSxVoEt+1vtmZJ1t7lmPVQMZHuh7mYDzmouwJoQUrTgeVbF195Q551Vh2dLng8f/oi//e2/fRXsfU8HV7eHIqybEsVnoTAdZBrz2M/1NVPPpgK+XwfK/Ztf28++QactJUN7SXWe6Lj+CtzBWA95Lki1GoOmbe87gUFzshkC2f7GoN6gbqa4wIdo/Y3j/fhrJ20wzUAdFvjhz1YBOMQY0XvBcWZFghXyWVGUYxmuTIUYLMHLe0Fa48Qm6SiPA7U1xMDe7ssfPwEAlgt/vlYCWm34/NcvuH664eXTDeQI9y/vCDjs3nG7TpFELwi75Wvar4IKAEZlU+o5yvJB76fYxvYGIlAfzDoFVZ0PqCgSJ+EsMqZ7xMRQ4PeYxk0fDBO9VM4JifNU8qhd1XmFLuoIwQU41wFEtFpQMq9FejTpg9decgZOnYjyjURSPy+rcnt2UWgN5L3EWrLvug6fAto27jsA8XYdYqvrbYGPEcd2oJYs/Z0ZKgY0H89Vfu3BjHFBjAnH8bDCg1ZQu1x/owaiimN/gD5Oe9pvOH5Tz+Z8qGLe423D29sXXrTJ2yag8sgA34Qf/umT9RNu79sJKZozbiJiqxNLPFmMo+93o0+EEKXvDQimSOgk6VS6C/fY8U1nW5Tgk/Hl5143Hz2Cd7h8uqHsmZPonfvxdHGz17rIYhkhGj1yWa7m5Xi9vcBFx6I2UkWNKeHYN6S0IISI41BfUGdmylzCrqjHoOto034VP7MmVAEty5dckJbEKG/upiRajoJ0SSzi0Bqq5+rkEqMln2prQhKU6VFbN8QeUJRfKG2ysOx5BM29dxMWOiS569CKjaBVDmwMDtjfeaMCskR3leQablRsXBuLi1L2QmDhplIL8p4ZNSQnokoVaYm4fXhBKTs+f/4bgGb9ZsvCNG5HhJJfRbyH5dtr9YixyNjlxnuigN43hLgIBQFWvWqNaQq1HtJnGxDjiuv1A/b9YZuU97xBeOnvJefhXbCFwLmbWDh4pqVlVl8rKOhHl0qmLG7SqzpXs8Ycc3Y/xybbwYq0mlQMJE4FmYg8zPj9SSRoFohoIpKh94Cog5o7+Ub+Hg7uz3GISxKZ9GoshG9ROmtlGt9xPHheaNWEHOCASueKgtKze+X2BJWvn1WbnYgmAPgKLZ6rlPPrdZMn4mqjVTWlAlnymZZGX42zEWj4KXmcr328F07vPZ9Dg1cFhuag3t6nj3v3lSrpJOhiPTdSmXgOUB0R4qS2PV+PJqpzgv4M2sxsEN2jlAarQU2dguhvKd3q2qhrrJ6rc8bPiaxSbInQyaF2WUctFuaEk5cUBiN7k+qRd2ILBUCCI+7J5fO2MqwpHJz1v6MDLnoT37gk7n8vmcXu0iVhvb6jloJaOveaNQWa1b5kUOwKAPJeKpweaQkGSCmQFZdozCYv9K8iDCZK4avq7whOR2Jhz2h6Zl2S1N4leV0T0pqQj2LV05oL4hrRfxp/58NZN8DGAHGvmY7Vl5eP+PLlr2jtO6XRTlVErVjNiaQeXUARFVic583M3CHp/5xFa/jcZ/rsP+b5nw+txB/7A01YSdySUrjfuHcYIoW5B7eid/dVgqqJEKudDvaRqhQHoRW/v/0MZgzhfH7n2LqNHPcx5zolms68lzn+HPEcs9+CnUdBaWXtjdgvICVus4lLYnVsUfiHc2g1C/2ziliXWJj0jqNULPkysUS4ZYIt89gu8P3nNwDApz9+ZJCsznuX3XTpBeUey+W62PzwwcEdTyCEYy9N1kXi5I6I87xex+MmNiX9pjAb/57QigJu1ZLJ5iCVVRlnOAMM2u9uQ+tpzSdHQu8fLRCjGgoDnYgcQiLuOwdQRbyHLfyABt2/lMLqLDbT/UlBNSeaKV2eay0NORemAGNoqwCcPzUR9RktYNxj2kpFR0OMCfv+AJGy2KrdC82pWmMP+gp2PLjdWCj18Xiz8Wg+o62hUrG8LZdDRK/O9lW/5vhN1ifdgtFmKnCvf//CKMhEYXjetNeXC8uPO4cvf/tik90EX5pSkfjvlAKjFRpDe8GDrxRgSSt8YHl1HgQa/Hgc+YHWOlJKCGEFAOT8QK0PxBjRGlPVNJnTAXc8DmgPZz7461K4FzMEsSCoGxKtqJVQyoF1eUFaF7YkCR4uerRcUUShFhCj6BDZP9F7MVy9QhvSnWMKRdlZ8Qzg5MwFrphlkaF2Mlm2OyfrYaKZgQj74zBZ+3IUu79VemdMVbY1HKWISNAZqapCNzW1WnTkWi1o099psqrJmwZL8/WExEia84SQkv193gflUOkBGlSY5ceEXoFY0EgDZeodyUeUo0C9oUIKyHtHLSKFH1cQORz7PjXa8+mc537XumVRmgVay8j5EL/OAKVep7TK5lrMq5MoCi1G6KcAotCBvY+4XiP2/WGTtbch1c6UYK7GH8fGUtTBmbqjbjYhBOwQGo0KgSha6DRxELpcH/SkGdGyDbQ1NKqYpf7VwHiuVqlHpCaYo6qp/atnClTvHdv2/t9bOr67w3tGtImUVnzeaJwEBsBQy9w27fsq9hqtErNXHY+Vl5cfEOOCIh6SNRdUDErztypEDNAwlEA0evQMwbTnBUsEtY86BM/VWe0vom7JDcD0d0VKAQyV5NbxTL+dqbOnih9GsqqUIE0ST9YfT8mbE6EgkiqpASs4r1m6N3jiNcnrWvKcqNJgc2jSNyfRtn49JY3zz+fzz/PN2AcnZH18Pm1TeKbzWjI73SOMAvP03IYtSodWCofsfhVGT+/Sny3ItX2GMHrhuKdpqL7G4BEEtFQK2EKEy4cL6pFRjmaiFL125ML7S28sfsLXyAG39w77g9etNYkYTxjUu7RG7PcJ2OjchrOahYPQGTGUR3kf0nvRT99rpVvjoiYgTVwi4hKtp/zYuKdTNSe+hdrP41PXRk8d5BI+fPgDPn/+61d/8z0dNlfdWTBpXneUGqvjfgYEeJ2Y+52HauzzusRftNMY1eM5ftSftVZRahH2muptSA9mH3NuntOakGh1U88zg2DeBfMLtZ+FKH7aQ8iF4NF6MQE4BmxHf6utAYWrkkTO2sQAVe7Ndg9q5eT9OFi8ckkXG+8xLnDOw0dvrTbMEOG1QX0yuySEOg8hLLG4Ruun7KUiBG+UTB8cHq8PBO9N3M7RmFu6BoTIbChun5MkzfPPnffwUe3knirVolI7szMQxlwFZN1W9oLz7Kg6AxBPw4LXNYB6A5HJlTPA0QHyxOwY+dreR5J+ZWIoVZlBTb5foM4iQuBYy0FiWzBY0p3c97EI2XU579FQjeas5+6N2xK8V+BUPeIregNybydbHBccFyKEBRfjYs9Wq6qsHhuQ4oJ9r6exPvYQBwVFOPHkeEOLYXovzeqnVe7tn+5zKQdSXLDtvy22+9XJZqlCa62s8FZzxePtgbe3zzYhvTufXoOWH//Tj3bT9vfNGvNjCrJASbASPEqtxod+Rtvs6Bxg1JKh1CDu41QeNQdTnFAGCZYziAIcsdVITAmXj1cc941RicSoD1TUYF1OSlOKGlg1T5JgcoT1urBohySqvYODuNKk94iwvlzYi68UTjxjtOiPE7IhSsCIIKsFxjUhBo8WI1pnISGeQEC4sABE7UOsSSeWbpZ67XqosqJSzeyWKi3Vexy9m7T/jK53dNTe4ckZYl8mipS9hzSZhxCw9x0+BnjvTibxc3UT4DVGzYZb69zjesw0DXkPFWHxvKBy0scLey0Vx86KbNeXG3L+I37++Z/tmW3bg3shS5Fewy6oXRIgYdDLQvDW18GgQ5FFYJUgPXFlUhYw9sNKuN0+gchhXW84jo1lqic6Bn923qSP/YHt/Q7vP0hg7UyUZ13SiZJhwe1XVEo8fc8iBrUWAYEcnqaOJZOuEWrBkPCeK5ryPW+knGgzHUgFHTigvd8/4/d09M7oopeNv+YqKn2KAIu/oxt9aMfjMNq+IpGtdjHUZjErrRDruNr3O7bXB+6f7/jhn5gONT/nLn2QehDx5lJL5bWkNjQiuD5WztM01bVBaFingHIKui2YdNP6Z32k8+tH1ZTv09d9jHMVc/R9dVuL5kTT+r6mCub8d8/ncbI+j+SOTtTcJmuaJrSz2I+CZaMCONao+b47jGRSN/dTBfm06ZOwEtzpfb51lKrCKd0Aggappkzrr/ZqkiiG8ud0aJ6AOhIDQFF6sCWDsEo6uiR/3p4Zt6pI0Cf2YfaZyKMHj7I0tDL84S4Q1UgCWukyhgu6BKS9FTxyxW1V8SIG5HgcOfZQLVXWvKHMaPfRsbgPMFFwHX9G/hpA45vzPAYB3jedd1jWhONxoPeCfBSuEMm4jdJ7Sm4ac9OYHUksKz6/vHzC6+vfv/n8vodjDlxNd2OaAwAkGNaq5WC6ABqjdbR+/tn5/CP4Nd7lN173S0yD3lmMj7/myiZI2RI6DqY1i8iSF/6ZnMcADGb9+BDRTQjHWR/yzNrxnmNVR1GqkEPQslYFC5kxV0sGaAYUm3ytgJ7HUXYel5kB74gIELCuVxa40nVMwPgYvX3P85c/q9LFa+HKpiPHtHRZF2sruH95IF4SoiSBqqQegsexH9zrfD3Ht7ePN1xeVrz+/dXugYo3srqqN6cDTZrn3vp5LrOQksQXtQtdFVL5JNs/iQB4fj1IvieSntIiAkQQYHcStavNKrMzmG4gfe8GPJoWCsYe4xyhBox4SxLRDo2X+FpUV8PyAlnjFbzV5FD7PVspaG2MJzS2ltF199gz66V4HhvOOWuriwszqLTlIaSA/uC2Qh8isGtOoj21k/3J01zqnUWCvDAOqvpU/0JH877f8eHDH/7/l2wqBSzvB1qpOLYdX/7yWXo1PTSb5k11NBVfXlaExH5pn//y2TZTH3jT0QenC0yRgNYHdzKJDnFBkWZXrTgqCqAoLyDZv/d8rXlHzju8i2xu6phueX15wXJJPIGXiCAmrLVUVAKWFFEjB23HI0BNTnuv8I77OlPiimlaF0YdjmI9D2w4y7LvRrEoxaqlvTfkfQRsGpT6GFHBogvs0SdUsxSxOIe8HYAjQc4aSuXqU925DO5j4HstgeJo7uZ5UVo1qeoxEJmKXCWJCM5hlwmk/ZzesXpX0mrHE3qvh6L0J1qgoG+1NlAbC4IP3uxm3JRMueA52PMOXicSeJHihY2rMb0Dy7rgwAHKLPMMgqH/aU1IcYVz7IdJqGj9YaBBKbtYnAxEicdPQeZTyTNuCD6huYJ9v5sP52wH4sMC7z1SGl5iRE6EXhbUmpnqI3MkBO5dbiJedGk3xHWx+2JBjwbAwLSZnpPv3nnzmgNNImIxjlbgWpCFXjevs++dpwk9a4M6yxWAeqpmKm1JA8BSHrjfx2b0uzh6517rJF5dRYVIJtU+TUSEwndsxylwURPyGUxrrWFZ2Ftr297xt7/9N3jvcfvwEUQ/nKr/50qDghBTBbN1NGKK/LjsDo6ApkRSNtbZR0zPCQj9KMBep4eCRHMsOANJz4e+33O18BkM09SwCaA1U4yaAIzPINlzQAzAVGf1d5rQ6jpmgZxUOFUE6FvX7qZnNB/f+r5Nr//WwWsqoUgfuCeHo1X+TK2hyHzjPZTpebqUzlUnNFGK1Ut4oiqHFIUiy0JuPL66GHrL2BNAwk0Jvg/cQlAnam8PHU5UFvMxEgla5vuymgBcR0fZKx73B/adE4OS66BXS7DLtgFd1iqmouucer5n878a0PG9ANCEOgZwIk5k7Jl0SWwntWdTk2WrsOn5yh48g7Pe+yFSJFXZ5brgev3wi8/2/+jH3FertM/TOqNiPNPNU6E9cwboZ/E4Pcf4WgUAv6bnaaI30wLnQ393HJsJ+ykFlcHfczUVcAOontYaAGZho2weFyKIPHu21wKEgFpZ04Fbwwa7AGDP82VZjR3CP3eSDO9w5EXIqCPvO459gw/Dmu8Qf/hSClrLcC4yI+/YEULFcrka48RpEaMLK0liRRChtoL9cUiVkOcsA/3jfgOwXmRyY21Xj2iriBJ7VqKzaGFcIl7//oqSJzp15z7r3prQ85mKT8LM4y4denrmAGjoQCjowLY4sCTRBQ/vPMjxz7SH3JHnpNA7fg8BmVopZx/jzjEieYKr3uKl4bPpTwCnsmrkT8e+KgATr1UOhA4EmDAqAGkNE1Go0phRJHE5NI9Rlf4+VGpLYSXumCIa+OvaC1sjShxslc3ETLz3x4acMy63q4EB7Eft0SZPTAY350onr4W1sp3JslzhQ7TcTJ/5mJODBbfvd3z6+GdrHfu1x2+g0XbzkTv2jPfPd7y+/jxdt7OyPQwdI3z8E/dqtlKxvW+j34eEMil8cCLuSdved31eWKTsD3Dgs643TtTyzpREVd5szcyk9fW1Hti2zE3YoWNdbwCmzYoIx+NgtEaqEdoIncUyBHpuIjwe7wAcgk8AAWlZ4KJjiWuhU7ba4ZMiUB4+efS9W6VWEY59535NckmEf9y0cPHEq5UbvXWAsbXHAucI+/sGFwIHFZ5MxSutiXn9ngVt1piQC1NNNZnUxdHLBv3Mm6+d+zxTCBy06f0nDpKcc/A0/s4RLKBREQyu5g61VJaGbjJR3GkzUqqmj9qErgGTA20ykboDmwd3CZb4TztEIQ2cbKaV6an7fUOrbD9zudxw7A/UdlhC4H1AKaqOV4XywihRzgdIjJIWadBnhbImFdEDOW/wPmJZVhCFgVwBolrI9+k4HljSCtD1LFkNQfvIodSMchRcP1w5GFoi0CQ4Dh55z3BTgjhNOCiazwjtU7IpFiveV96o5Nl7L/fcSYDRpN9JglEAJ3Ei9NGzWUXqXoOR+/0Lcv7aZ/R7PpwPLIAyVS41KNMkzMta0mXNPI6HJenW7wqhO7cCtXe4Xj8ystmZObFt77jchjLcHHCfqoQkgio0KmnzYUloH0ke0ZCjVz9FfdHYwCTh5CXdNm6iM+NBLXXs2p4qmjpOnxOx5+TOgv05KdUNlgZKO3/G5/cLnpO4U3Isz2ruRVc6qyagei7vHKqCaTRnonviAAEAAElEQVQFJ08J8bcqMJoIa1LJ3r/NOr2IuNra9X4q6DN9Fo6fOohGtcZ7QPGA3hogzBcNePg1jJCTBG0GTgljxIn/a52Sqi57NluDNXg4+ORBeUYRCB4MOrjgUY88AjiaKgxq1dWAkBqWa0J0BeVfWba/FDYT554uNo4vB6/Brg9l9+exoMmj7iMcZ39bXEurkdQ4+G2lMuh4SXi8PZC3bGAs+tcV+jGe5iofB5IhRdxuP3z1nt/ToeuTdzqG58BUe5297Qe8pynIP6rTc5Kqh+1PU6Kp/ZP/6NAkVA+1NLPiRMmmUGuXqnEhDTujOTac90oFgL0PJh4J6D5ep9cPmi2LBXph/lSoPYa2rrjAvXe7ClpO71uKtlEwCNx7wLreJmCNE0GfArBzD6aP0dgyykLqvQvFPVsVL10WZoXK+6miNCePEkt3ToS4ZayauBZ6R1oi1pcL0hLx9vkdx55Hj7uCiUJZ135R57jI0TvgUE1foIOLAhqrOc/gGTmSOHSseT6wMBCzIhScZMYYe5QPexytyOn3Xfr6jZ0DBvEdpufjOFE1FVr7e5zPOW1svWOoqIOvxzmgFm7Vak2UhYOuURxL8l447hMAa1nqXVraMoO+6mt5HBuW5YK28L6/Xi9c6BLxoCr9ud5Hs17kgkeZ5sd5/XTSx+wc02LX9Ybgo8WN/Ds//D71foLjwCPzNf2W4zfRaJm33XBsB/763/56mpzfMgINKWK5cK/m579+5iC8O+kpIeMs24LjiAV6ckEtTegCvHCkxPTF+/11VC8F1cqlIBLJjWVhn5wPAA0hBHgfsV6uKJmrU4/7GycD+24LTy8RtepGA8B7+BgQhTq8LBebIK0VHPsOOiQYiJz4MhLj4BOBgkevjZuLOcqDj4ERj67S7x21ZXhEOOnp7M3JhK1wxNVJ7WFd1gimonSEwNYicUlYbguW1eH26WaTTilKc2AW/aCFzr5yAyHSwApS1fSm5MjPmODoXJWoTZvn+edB/k57BLJIrXmMwFQHe0zhq8Z0co57BVxAkInbfUeDZ1lsmciOHCszBg9yBbFGRt3qYScLkamtMS1oe0Up6rEZhSIrKouOUVPvnagAzxN39GXo4tRaQy3sZzrbn6i/Jzd5J65gCnUhhBty3mRxZfpvEJGr43ig5CuW63KWGg9Tj2Uf1U37gd5TjCBXF1wdp7wgRekrUMsDDpo7MRCiAJAt3lM1RRPZ0ZtSDfV9e/vpF1aL7/fwPoh6plAAc7WEswkYQ16rcvx77t/t00Y2np2OJ/W5m6lX1hYwbRCDCdEBtTlyI5E8ocpNN++ZWnlOVBmdrdaf4ybgRINtODIpeqLRR0mcQdrPv/Xv3J/5/BlmgZ1vVRXn65g/13MiOPeMzxWR+b1UVftb1Fr92kTTZB3Tn8/JtarJzh6b+v2cANcGA+vUQqo/nbuaunNDri9I/idUOtNzlf7VvFQne4GPFU1f14AlTjE8AT5O9CqpgsAPuqwGmPY3kf+OSKrW8lp9bhqYLb2jBOmTMw864iDL7quwICqw5x9x+3gFEeHxtg3WhKilj2rCCKDVx/VZnErFBfnWjcBc4ywGT2SMO2bqHHu2Ks3jy928ODkZYHqs+jPrXkkE8baTipn8noiwXn9b8PU/8qGMKwAGQpHzUKsm9c1svcJ1Fg/RZ6DK589J+/h6WHLZz9C/et23vtdDx4pSVpV1E8IQmvwKvMK316SZneNckPndTE+BXzN6K3kNCaL30YwdpNcRgiRGmdtqOAZoLB7okwgUchVpWVaUklELV6hiXO16U1o5XlX1Zy8Vd984FjMbEGYLHHvGsbGPebokFiyS9buWgt44Oa2uIQI49gPl4PY3Ium9VG9m58Qbnost6tGuzB1LUGj2t+XEq9Y66HPUxae+W6JJurjQU0LkdYx1azk7MVLK1MYmgkOszzLAIDgS3ZZqStXs8jH18juHLu4XtZRhTaJrI0Y1H4AAVvzXsw+8/s6EAXu3+03ULXYDWOsg9wL1QFVgzfayykwj/Ry1FtSSkVJCWqKJRfKjCch7FnFRZovEuNrX8/E8f3jvq/DOIy0X+HuAOmsM2vQAYZUtcBwbPn7841fn//ccvz7ZbNXoLj//y094PF7PH2z6Wif17YebKD91bK8PSzSc+CFqEOB0MtZmVVAARm0J5gs2qGSMwLF/ZAyMVpayS6au6K2H90l8ZuaePML72ytK2RHjivfXN9zfyEQQ1vWK5brC31aoKAsvaF0qFozUHseGGFd4sLBPkL5K9V4qhQ1eSylAIdw+qg9mQ6mHidNAgzwJ4JZLxLFlkFQTahaarFReY1KhGUYZ61FRckM+siQxHp4clhBQGosBASNJ7L0jikIrgcV31B+zCP9eX6tU2jnw0WesSD5vTg49BKTA11ZaZVVfUUjjITIoDSwypTSPkbQb1YI5saDeER3QPZuHKzIopEALfp336L6DiqDbxFYzy/KCdX1g3+8yhiqALiCEJpssNW7S5K2hlAPv769YFkbkc97Q2iHjzwFOX/MzbrcPALwgm9zTt64vVglU8+d1fcG+s/w0Cw8FqxzmPePTnz/Z/W29C73CTfRWTGNxqlhhonBOaGzOh/QAsoCX96M61DvBdUFhJ/sORQP1dYxgFks4S8moNePt7WeUfCCmsVn+Xo60qhIt25rMVKM56FJxoEOSzY7ZKH0ET60VXC4fOEGtFa1X5GPHTz/97/jTP/1Pp7VVD6O6+hGA6OY5K4HP6yuA0+90LUJXpJ++Un8dPZgT1YjO64D++1Uy6em0lujr/CmRG2MSGBVHQIGsr99TE0NgVBqVOjvTbOdqhtqptM6tAr/UCqDvpe/hgJNdyXNAO1/vfNgco3NFdb5P6OMe/HT/v1sbwmxV4qSnR23GVGFVzdajCIUoeAnAkH4AaLWaiJ4Ce8ZgEK2Ak1qxdyfhkefPzOqXgwUBwCqEdaKO6T2IC68hLz++4P56N9VxbZWppcmeOgzRDRwRxXU9ZdcEeH5eWj2QYHfcA4eaKyuzLxFx5epmBM9fm69NfECdMxqhHtrKQETS9vMfJub/P+RBEyPAlMjNDkXHyXiNVlzmiuE/Ao34TUavJr/nmN/zHAF9e43hJLPa2qnvq2yiuQr6/Pd2fZ31PkJU0JBf5z0nk8exC8NJnRU8Ykh4ABYzmK2ZUA1Lzdanr3HknGgaHVcYRK0XE508rZnByRoGVGrMNJiS5nIU1qZ47NgfByAiYQwWMtOGnGPRrdsCJzHp/f2OlquISFYsl0Woqmp7NxTOAdgadL5/0/PC/DP9o252R703o6Nq+wPEonAklPpn58oagdBFI4ZoYnB0skRT1+6qY0Ppr35io4CTWeeJC2W9nRLNXnXckIgKOUsuuU3BoVv8pusLt3WM1/bpPmh2PcRPOYYHQmxWeNG9FgBiHFYnALBcWQzKxEq7MPHygZgWqDClF1pw608JvAKZtdi+rjobMS4mVnocE929a8w3nAv2/Q6iP381l/49x6/v2ez8gO6vd3z565fz5qmT4al35CIKc/t9ZyTRj4GpA5GDL0ZtVJa5ijFtqyLEUjJyPQx9skBNGsRJHkCtLL5Doial19Fbw/39zRanIlUp3syL+Cw2a34/DubY15gl+GuS7DlW+RLqK8BCA+Pzk4493qA8oVdOlpfryp9xY6GCtg1fTu8DfGL6ExwQlmFRko+CY2OV2V4bfCq2YG73BucOEJgS/PjyYFVWz1XPVXjfKQTU1tgmRoK/2XdupjARcfI5Vz21YjlXDWYkX9Hv1juOUvC+79jvO/LGFFHnndGXLJgDQG5MVA58uqnLAkO4htWv+XmFEETco4Eo8CKS5+tXwRPuJ1ivC479Be/hC9DfbILVWhEjm0KVshulgAggEZsqZUPwDqXA+jX5eXmUogFhxdvbZ1wuL/Cee4O1qonepb9koMZcIddkrlk/cN4zQvQsnlGb9ZYxujmh7hqcTzSUGZUG9F5xMlytt1kT1FnV1KPniu5mZGssUK3znFL6tarcbts73t9/RvDxvx9cfGcHEYkEvNLOpgDLCR3c8wbXd05GczkkUNJxO55FrSzqoDR/VUV0PuA49mGrMgVylhickiSweJafUN9x0XJ958COBYUGBZumSunp71s3KryejmiwFObDBHGm5G++d9/qabREePp8fUoorReSzuuPJmrPFc1nKrEh8RIYzeee33e+Rl1vuPr43KeulVqgzsnO0+dREaI5qZ6POdiaP9P4fZe+rrM6qFb+fGStAe73Gb2ZBh51qRhMnmzz2gEMQNfuT2+oVL+2pNEKdneQtk/rS1L6eIjh694msF+z8w4vP7zg/uXONLTa4aOzCmctzVpHmlXO52REjdEHaNJ6B1wHmohjNV2/CSTG7sd2YL2tWC4L7l8YcEwXFg7SVo/e+0kx157xRKeFMG6+16NJe4TuSwCAPu43gceYrl2siXFw4jj3gf2DgxOGoUD7S1XMbx2n8S8Mm24aAlXG+FhXiTxA53mj/xIRSh3J5gAA2YqOgelmVETWdXCSdMz+oVzZ0r2x94LeWLmeK6aaGHkGhFVMh2ahwTi0R7yT1jBZ6qb7U46K3g8c9w2HKMgCDEgHaQPT9jC1FXq8bSDPnputcM91721QcoO3+6EaKkTsw6tAD/9uKK0qCDXTVnsTBt0kHMgMHzqxYiTz5ITSkXg7jxxC79Fgy3x7HHBSyurc2l+ud0opxZq4RmNPghVnJRk1QE9YG2jg6qg5PLRTtVM2jrFWO6cCyODEcYwv7x0oBc5LSgVaNaXvutfpdLw28rP3SOtiAPac2Ot1qDAlU8kJISY0qW4SETpxj6mCJCo02nq1v533SXqaH/McaZUZor/l+PU9m6UiH0Xos6PCSNKj+XzBRJKIERn3GIA1PTvvcOwZSV4Tl4SSC47HIYmm0vu0lDxuTM67qcGid+TM4j26OXPVypuHZS47YljQqBrn2Tnpv+ywRu3WIpblAiJnVcJj3yV4FESkNsQUEGLAemVxoFqrUH+ZHtRyhV8d4BzK/YAPwTy9qngi6SLkQ2CxoiUB4lNZS0XLDUduiAuQdx58zhMO6TtJlyTN4A4+crK9P/izxWX0MFSZVME7RM8I+LP6YvAeVCsOETFRMQ2zCAAsOdXvn5UjW+fJoCi+fs5a2eNM6Zo6luYqtf7XamXFQaf9v4TOTaGgWnnxkkVBF30nCVktI4hiz03+OiZW/l3XK7btTagHMploDswHilnyDriGnIEQGkrZcBysJtqaKMaaEh+L73A/Z0ZKK1JaORhNOl6PqboYsa5syxJEXh1QsQVWHSuTj2lcGJHnuQX7uc6xbwex3ZLYUjNCSxaMDkR/tko505BUTl4RN+5Z5apmzkyf3fcHwvXcK/N7OEJIJiGvG+88l1iNViubTOVrdagLzodSwtJyEcud4ffGIlYH9v1urz8DAueK3/PXXyenZL26IJrot1/3M9mGJIGCBj+qcKq/03PP/wIwMaBn0Z3ZduQ5+PtH/ZwO+OpzmoKq9tR8KzIBt38oWm4+lE/XPM+f3rmLy2syK0DaL51/Tnr/e4fej947jlqRa/3GMwTf26k3UZk+vfP/qSWW2UTpZ6nqu1dHtobzejHfw2c6tX0tVLUZmNBqxPxa9Q2cq1vz+SwxFBDDR4/LywXHdiDvvNfEFDELxKlBehe2CibWwPM8670DUtHSSiu/5xhftVTs9x0+esSVzdFDDAyCCmuEPLf0sN8s0/GqRfywz+Djvy2p+h6OWV9g0BG97BcVtWS0VoBvVBKfz9M1mv+F43kPe/56LmgAU2KMzgnAHIvIdXtLCs8FCiLtGRzqs3wN2voglUmdI84jpUWSiGj0bmYwLRZPAsBxHNN7VWFhLXDRW0wbU4L6lPKJuBc6eBbH0XhSgUDvnK3T5f3A/e0OFdhZLitC5FhUWQgKoHjHjKXjsaPXYOu2c5x8apsVAMTosd5W+M1z0eJts/ONFhte/zlBFIs8sULhjyHPogOgik5kLgRmrdEaWlaGolaw54rzSBbJO1Blpp1WenU89NqA4E7PE8CoWna+FhbSYeGeDp7nM9AGYFRoFTQWMK5jBvQHyBqisB2sVUnbjth7Xdki3FLTQZEFnvI2iiWa0GqrDQPUDj6wmOC2vSOl1UAIXc9bq+Nnkjzq+JvXXx23I75r1trlxPd9BjL0/umY13Nt24g9fs3xq5PNVip+/tefcf/8bpNU/xtXPQII5yTwCs7Q+fmDeKFw9S4IaHBAHii0NfUK+uBdEIsVz8bqotaXy46J0WPvzwdz8r1nNdyWuQ+KG7wF8cAQx+i9AGgiIHMA/z/y/q1HkqzLDsTWuZm5R0RmVn1VX3ezLyRnOD3kNDmAQMxAoxGkF73oVX9S0PMAugAChKEkPkiEOBpS4HBIDtkim+zvVlVZmRHhbnZu87AvZx9zz+ruKgJSVxmQyAgPd3O7HDtnr73XXusK7nkDEh+PMHFDjIhrVI57q00XrLgmpHXB9vqMvO9IC4l+tC6ZHOh1W88L0nklCeu9kvFursj7jpx3rJWqw9Qw3RnUFpyeTjg9rFhOKzWGO+Lh11LZz9Or6qE34NFO5LU3uO4mcGmDJ3n4ZB8AiQEJqAzeI7emVVgJACNXiIdiKgVMMlHsG9NMmMIZIvlJtUYKviEG5PwGa/wFRIWu5o41dVLf5aZ8B6CnjrZwRqwD+15wilel29basMYNT08OT08BLy87j8UKgHjwBFgbK3UV1Jb5/BseHnZs25VFhrqOD/TB1ye21Qf88pcBl8vHO713BTlvSGklIMr+qvt+4c9TBjXvmbOIDFYqeS3SxCXVrCPo6Dq50uRNNCUJ3GrJQ0Shd1Up673DNcreikCSfXZkgmqdmtgrZ4+37RUvL9/eANyfxubw+PBWLZukD0P/6sS7cEjC79eNhBFMUCOeb9LrtCxnRFY0Hvsiusv1+sJBNWV8j4HZHOjPlU6H20BO/96IGSCJjWPfk3OYgKYEG0JTGtRLfr+h31qgaUGaTV7J+6DfN1c371mL2H3cA5n2eICREFPmiam0fgocamVTzhvztZPv1Yy4OeZPHbfMqeLtKe+TQNhSq+XrKGHBSqmO+ndaa2TfkYYYnk0g1dpQc2GGjQWPfVQmD9fomGiQ9yPMFeLpenWpXAPUPjDW9xADSu6wV1cAdKtNlem9d9iuO48pr99LCrU8rr27e58koKNAk/HOnRhALkHedoR0xnpa8OHlA9Yz+WJrYFmpmhvWpBY/7bBWBqn6/4i3ca/5fvBgFDoizFwiehl/0X0ffz8+3/T9M+3e/r1zHKUVzj7EYwDAeknTB2iu1USOvly1YCEKus7RvChgUOJcAqa0FnetrlMP5uXyTCKUfTCknAvwznMixev3CNCk44wIgbza0TqrfrOffevI/FxH79Ay9f7t10yaEz6O3sxM/ZKtUhJqCaPFQ6qx47oS88azDZ1zDikFnJ8eEMIz2Rl+fFVgLG4Isq6IQBFRMQMWlzhxORRtnZkvpecyhmD6gB3ZivSxZnh49FbguoePpMfR0Skma6PSq97IrANgRYasFYrMCz74qRpJ5+C0Z10SU/LzlGjl6wXnWJV22Jv0Pp4ND6/A1HtZF0f1n2j6gVR72xirMQYgiC81xcoi1iPsSmLLRZS2q6NBOAW4TcDmsKrS8+luWrMcPLwnynuMoiMiTgcjUQ6MZ9p7wlyn0wN+yPa9webl+YpvfvEN0Ra1L2zQD9ClJD1oO5KxHDSmcVE8+1A6R6BDPBkBcH8Jq6aGBO8zDwRaVVJaUZzD5fkbrkou/F1E81CvNdOrRCIdQreI9DMooKes1cIZtMBKZIUnjwjnCpwbARZRkzJNPgys14cVp4cTrpeNHoQ6m67mUikj4+i4eqesLrxD3nbUnTKqmftMaqnI+YqUSElMxs/6sPKE6LGcVzx+9kim3Keg3kcxRZwX6kup3LMVvEcuZRLUEBP01qmHU7zpahdaSMcSh4iTFdQYohyYhD7kbz56XcjptneULTMFY9A2xcuPwCh9z3Ja8K9+8T+DmMTX2pTD3rjCLtQOoY3JxJWvmZQHWe6+7AVf/+nXeP+br/D117/AL37xLxVIAdCHVjyO4kHZ7u3bL/B6+YiPH7/W6qSMKVJHJqpsq9RXu647vv3213jz5guktAxKMC9aUglQMQZddOvUEN8YYIjS57TothFI6XMof9OFuKKjIZcdsa78sdGLKd/t0LjnE/qaAk1WtJWfS8l4eXmPbbuQLYzJ8P1UttP5DUKigFkogzI3+EC9GoEFSGquU+ZbNroHVYOcdT0jhkgBHW/LckIp7MHJ1R251qq+ysGy0F57h9qd6FBpDaHPVFZZjGUf0rfTa6OFT8HH2I8AhqPSLAADZIDoRTDhFggePSrvVRblPTS/AOq32Ed10fPcZRfK43GJl6b9jGz2Z53XZM3g6u1RGMhcLl3Mj9RaesMQD5L593j/a2/ajypibQBYcdd+1y391rmR1FAfudrUbw8Y4FJ7vRsF3JYeTff7fkVWcFtcE1lO9blSLn56dN2dWo1NwEGTENIHOeacEANwWnRusz3oIsrT9gEoaXcyHrqec+cBqsGjVDHUYoHPpzRcPr5iOa2UCOod68OK68eLXm/n3EzTFVqi2Y7U4h/bNhIYg1rvraCWVuNGj5el0Y6xNZJr97Yj0JTngPbXp/fc22Q9sv8AAppa5fajn9uOS92vG/HrWBPJTkR62poCz0atWWWs2845XK8vgKlEpnTiQgZpQNiWnSWtKj4k16e1gpRWgGMcScjvpSCz0q/379Bah/ejR1Tm67xl0nXoVCFE7yriKfEnHevo0w8pKH02hoDT05kpsxkv374g78y6E3cH74EDcyGkQAmixk4D3cQBcp3RSVwqdxTInOWAOCrO9jNavZYwxtx/UqHu2o8qgK/1hl4aJUD58zJ2Q6BCV8s0v7ZC8TUYYLY2VKfvJdQcHHwcFFzOL4xiEdy0FlhgChC733uHVkhzxXvPTgNN2w98DFi4t/PyfEVcZz2Hfb9gXc/oaKr/cXIPzHrKKn7a2qC7HpOj45mhIkng1ieNF7jvk64px8Uc0759++Xdff15t+8NNn/zb3+N7bLdCEiQ0pFTqhJVnIZMsjSWA5hWbul/sOqk6KTo1GrXhdP7oHRDyvYDpUAVv4SOSLsfi5oNzqVXc4igjIyyNgg7j/P5CUXoITCTYuucnUoILEY0+pcci/YwBa5UdCNP7b1H3skLcjmviMEDrWPfN+zXAbxKKaR2Vj0pfLF4UGsVPqzqhYjKKmLBM50qAs4jhAUxRYREKrDeOWQ+39IautA0/RykSUXzdd/0va13ON/VgkCCpmB6vuz11Osg9NfiRhYreLTMQJInDFWgDVA/Kfme3km5CxiLe1oT0imRv2vvGujLGCOw2hiId6RT0mAhh4zPfusz5C1j2y54fPwM2/aqNNN9v0AUVsVQ14eIFBfs+YrCr4u317qeUfKuk6oscK2CqQskoPHy8h4P5zdIy4paycszRlqE9HscTdoyCQAElmXMwZMKY0wRG0+UAsgHmJjBo9wL+Zn6kSu6SSDY97S283nYgK8O+qyCTrp+VNU0QdidYPXHvC3LiRIknDQhEEV/81LRd06p9TlvtwG9mQcDU6t9EDl9osqsC/X25v2qNEqAF+0wxgH6nI2Fu6VHTuPjGMTxc2rfD4ysMTD3h1pwYKugABCcv+nRvFfh0/NwtxTUCaAy9bV3KPiU1z9V+aBj54y6/7OFgJyj1Yq8PefjqDZzfucY5ZikwkriQwZUg7L6xdBlaS4dIFT8Q2l+rNP+9TlmfYMYA80J/NkUiB4nvcMAVM1VElcq9GGAgyT47lXqbJXUcUWllSHe07k9QgI/l6JWYY+99nrNHQl+AFaUiH2oTR8wOveD8fHVQr1OKHY8HgNRj3agaOocx8qRvXfsF1IKFc2FtCRccaH98zMjwaePgSrEzmkikwLOH+dc1yWC5k16ufSZx5g3xrrBlc0DqDyCzHnuaXeDYQl0uz4Ld+apw/uPHtDj9QbphbsHXOR3ATd2HnDOsQAeAc5w8BlsrXAix2uM6MMQbElphXMeS1rR0TQOFoBIVSyHVsB0XNKMIN90SmSXsiPnDGrratgurD66rkCXFqERv6YUEFJiqj+ByqJMQr4nfoBNYREE76kVi8F527JSy1tryrDywQPBK1hT9g3fM2UVmkSD7QMHGlrhRJHjvtQY4BFYLKzBdYyqHlc1OwuR0XXnvkUzL4p3pSRhe2tCMaNYNAnQH4I/47j7AI8AAcgwP9uy5o2xBfU1tsNJEssC0gAGom6wTqh1Usq5ZKPkvEPka3F9vmC7XrEu8owRw27bLnQvfGRRUbpHKZ2QMxVfUlzYw5tkuS3tXedBEDh1cEhxgfQeVy6QyH0TcSAAePPmC23x+r7b9wabIgpkVaomsGFPEg1i4iqVv9YafDMBiwz6EJQW1GrHztYnZR8XgqqLRH+tteL19YNmL0LwcC5wAEzZKVr0E7yz1hYdpZAiEx1TRO8ZmiV2jgcMtMrZWsWynDiwa4gpISwBLRNlVqqI9L1kc1AKNRlXUOaFZNRJpauVhpKzek7CkUIVZX+hJtjLsrJaKQWv2n/sAB894kr0t7oVlFwRE/cVce/JqsJAgTNAnIXWgGgEi6JKG0VgAn2qUsr1O1YDAMnQd4iKZu9drQU06M5VqXqtNDg/U/9sEDEyLgI6CSDnPWuVL7HQUM107prh7lSZCexNmtnzCiCz8sd3D9gun+Fnn/8OfvXrf03X1hjHk/qWQ4gJtWSAxwlRTRacz088VohOlNJKtLwQieId6JrlvJM0em74Nl/x9u2X2ovnPXm3llI0sHx68zmfOx/HZdPeVueo0i3Ph0yUshZTDzCr/ZoZUJ7LQSXOSguyAkHyu1A75X8KgkcFttaqvZrSnE7/ftyZ/nvbuhK1RGxNAAFgLGqTKKOa96xKtPIe2UTJzjlPc0owYhI+0D+W12+94fXjBafHEyevuy7CHSABFudY4MSCQrOWthlcyRuOiQetIhqmwD0wJ4DTgtQo/Vx9MCeAW7VWWwm0INLOU/o9hqpqgeZsxTRnp6Wiab/vHuA8npM9TjtfaoX08Bn7cQuiiS4GBarA8CF2vD9/mF8tqI7eI8Wo3/1yITE7ScraOZJ6pmTcODRHFWsNchjY2eB98iiVxKxRr5UkIYG9hrh4bYXxYGqrd+iN2DvVO0qUMOC8GWeYk2BAVzotMPo5AWjvnYhu9dZu9iMJS/oZ2nsmf2sHAG3B8/X5guW84PqycevGCNx776j8XCWTrPF63fGj3QZjYvRkKhXQVIrsvRCPv+Mm68gx0fRdlUr5+90Kk4BCzOubBPc28U3Mo0+vScIk0X17j1rycEMw3x98xLo+oIgFCovXdA7o930D4Nnv8AKHoGJB1DO5QBJ1quzbOpYlkjVPGWuHqE331pFzRu+FY1BiE3lO+HhlEJCoZlpJ60OomGhkS9iuO05PZwWMcjnF5iR4j7QuWB5W1FyQrwVUsxhsHfmf2pw8sXlknWB6qAoDaewNFf2B40SXA5jNSuOhV8FcdDyMCaIyHef7QKd1O59Dscg8hgRwO+81wQXQ2G6mcj4lD6Ofabh+gNNextxUSamOk53jnGT/UnAbY5ddHIJDL8wm4rl8WRN8CLi+XnF93flakuhR756TAOD+zbOO8W17xdPbd3AXSQqk6VlrmLUa9PJwLCGKtiNhzPdPLmSnggrhnu9+Zv+s7ftbn7A6rKjcNbURGZuUYXsP8wJ5j37S54siWxMagGRJvYf3C3qv2LcrXi8fSbY6ROrd9AtVC+FljGupvKMC3WvFYPTR1ZtBnXNGKQXLsiClswnMJctBN9dlqiyEQAbXtVSs5wViUWItSbzziDGggKxRqPSd+JxWCGc6rQuJAJWm/P4QmZfPD1Dt1It5ejhRL0Ak3n2+7HT+vWO77IhLQq4F3jmcUuLFY4jxBPNQybaXqkGVFa0I3iPXish9aMDcdyW0o87BXLaKqF0a7N3cwN/mgM828NMDTJQH6T8KKQIFKk+/cwZuClAcNaMLPQQYgCukALd7rOcV7758B+ccLtdnXK8v2OtVrUGkSi7Z1Zw3LMvK2UrH3pzUe0v3kO+N99oHWQopA1cUlEyZ/+fn93jz5mf8DO0EMPyQZW6tYVlILbG3jrztBmwX8lsVL6fAY9CNxVnv4xEUGGBJ4kZD1YwmF5vR4gABYg/B9Fm+LlTVfFVfzWnB/jFHYYdNEg8hkHK2UBRFNMLS/oTamFl0y3pZASPQj3EhCydzTWMcVBcAeP34itPjiapVcVxzW8GUeZaC9K6ZWqtaDMz3SpJ+Ch61Wt7gMZQ6ex+g0x6XLLgCNAFMQPP+Nfz09bXVS2CAMNnCnSB2nNsAidKbrseEUbm3IkXyOxjYiRDFqLgyCOX5c064jXOZk3nQntL5ffJZj8TPc64VTp9hqsQo8OF9RhYBOtod2QSB9x5IkTPsRkGUj8GqxFZLr+M+SgmQjteVRN0o0OyVq6dtXreJcdNZbdFzbGCTWZ3lhI1Gg5uZFMJ3FNGrwmqYrc69WDYuGMdoqGcYwketNtQ6V63yXihhyXYxy3nRvmuhHnvvtYrrcWv98mPdbkD9oc0DGKC0o3+y6mEVLr9rm+bC6edR4bz/fi4o8DiQNihRpO3dafJO99ErnIsziAUl9morzEghqqbEpTEtFFeEAAdijtF05LFtVxSmuaY0FNljSEAYlVeAqlgEeoSmSM8RJYIlVnHcDlanamtK3OPZoZVPASEASKhyoeeehHi4auZYIVoTR+M6kg98wOlxBVpHvhaUnBHcaFUKXM0MrGQLjATkpDbObCvHfYsAU0eFZq95zabPuz6/3QHgeTUGxN7hQyXAWZ3G8K3NY0HPxSTdAPDzC3TXtfoqdicT+Oqjf932smvBQpJuzOKgEddBYnmVwLH3QKe4tvt5TMmaCFCRo7XAcTK/6FncjT1M5ftiSgiJxFOdCLDyWLheX7AkAonX6wse37zFspyYoReV6UP/AkQs1QpR0dxfsCxniF6NXcuFUdDR8fD4Dr13XC4f8EO27y8QxBe+FRINkcqHLhqHyUEyT7L4SRaisjmzZCtC9KqOpfYKnPWphg7g4HG5sn0J890DUxMpGA8AbFN3x77viDGC7ROV7gA45CyGqAJQSDCjtcbZpMAAwyhcAYAjmoKoSPVM3qNxjaq4J5ScXio6PJApUyh86ZACC9pQU3DedjVodY6yXGCbDVrQiU7UMtN++ZqJ/2guNNHe9rgM3zkLMkUNUmxN9lqV6nWsLohXp+xvKxmJvaZa5z4jB5Tamf89JgcLciVjZKsskomi9/KkwbY3naMSEsehDGJIAX2jiXUvGdsr0bqX04IYA1G81Pybm645cEmnBWttOG8nnE9PeHn5djJnXpaV+ioPfZml7NQ3mwho1laQ3ErVytam50A8k5xzgB/Z0ufnb7AsZxUO4huBmMjWx58e8fDmDOcdNlZjHlnEDr94teVppSp1VifIm4W5qVou+YduJiPKC7oZ03TMI7nTOZlU2Eet1kJVze1iqCw/vaqmc44WaYz50G4iQS9Uw+1106TcMbiS32MkGjxAgQAc066cCFdEvD5/xOf987EwyPPT2CMwjKqmrUxNPS4s+nI8jmnB7tCsdQNRfGU+hZ8DSAUyTMM/BpjHCqbTwOMWcN57bfouzF6d96oXVuHWKt5q0usAgi0YpON0077k+COzOu4GPIAyOWzSzTunvp72/Ox3eeeUeVLb6OEUkTZJ/gXn0cK8Btn7JnMFQCI2tQx1bhtMiBcnmcQfRKaEps1jRxQnAbLeAqi/qO1lzG/mhEouiIikTOkcnOvTubY+KOfO0XsqtwcIkJbEhxyLHjv/vR4UgGS/cj3svCrxrHPjOfXRI287Lh9e8fDukRTdT4smLpVGy20uzjl4vmaiuqt8+R/hpnYVzqmuwCRcBcBxUkzaKihz/N3V7Ns55v78M5L7dyqczqqISjKvsAaBJEVFFXmudtqkhsR5wk6SXmMAEOVtHyJ6lTFZEeM6fW+pGft+gSgZy3fUllFbnGzGQghM9ZRqr2fKLD8PPE8XtsaiCi6N8xgSOqhKuGdqcVqW1bBgMFWjaqmURFkij+fAYj5CnSdwnU4R65n6RLfnDXnbUWpFclkrsHLsMYVpYu6VVaplajOAcvRLwrAfRoxCMZGDPpw4MCP5WJ2rxBLbgdozHE9FUjmkW0XzT0tEVPbOwUWn80BaFhY0hAqJ6vVlEAvwPN/GWgbzNwGenZOPvYNowEzZbfI3W1kFdK2kJBklojvbJ/oQEKNXoFkzFcAkpghhtM7J8ZDH+47nl/fa5lf2guW0KmYIMaEaCxT0uc1E47xasCwnFsUc7DkpsrRWEeOjCmC+f/9r/JDt+1ufMKgqbFuhxtCtofmqD5Muun6Yp1rKVd6Eusr0nxDItw4Ohe1GYhqBunMERF4vH6aK5FyZlAdw2DvQv4JanTZw24nM+4iSN/jAdixcWg6BboT0eQpwkYywTBCQEroD+YY1Ev9JbG69X3dVEKRmbQpGnTQKy7VgiiL1oFbEmDRL58B9ABLMyTPBD5Rkk1tpaGWM+hTIV3MvVOGMIUziHCkEbIzARaxCzhV9nujlHsjWLHXAkeG5FbkY64NcN+5dFa5/AHzjvqJaJ+8yUe+SCQqOs9StKSXUe090sTYoYvt1x/X5grgkrQTEFEjG3rlpvDnnsKxnxJiQ942koJ1Tn8xSdhXFCUx/2/crvPdY1pMGWyEkEn8pDTEklMp0F5aYjnGIA1Efxoa3b79k+vYQ9HGePEgjWwC12jTJ0lhcia6f40SMCACYYOBQsZKtd0oA1JpJzcwErbbSaT6A5omSPoBmRs4bXl8+mL6QmSryU9pCIiXamouKkfQOZRqEQImuViqJkqFP887U7wqoPZMNrJyZq0IIeH39iLJnEgrDCNLElFvnpUbda55LRQ1AjGPhEa9joSFaJVT+aqUyOUl0iEAV+YFM76XqgD/MFW4CmrLdA5QTAP3EGHa49eqU7ahcewS8R5uVT9mXyN+OiTalFzqHcre/EWgcnASeW44tCPY87Xc9rOR5VlrDlrNet8r3UOZiubc2uWGD8WbupY8BvlQVoLAAgOimcz+vvMeemQWaAGX/815YJdyj567A0H6GlLNpXRPFSTlWCjSp6ulj0Dle5lKblByCb0MI5JhcsOBGQJHGAwx29fwk8GVvwLyTp3GIAet5weXjZerXlAqu7119BzVh+mOd6uQcMYPCY6V7vM4em9Mu5LMsRoUx19F6/ml/zeOcePxd9m+/p2mVsBmBk/nY5ecRAwT9n/5RK5W8R2I+0U8YrCupuJL6rKz/pVyAAtXroPc3mtOjJB0zgUYAzol/NyWwQ4ooe0YpFTEkXMvG80BURkxin24qQmSgkzaA2B5Jb7ELngUiSYnWAk2AwJwATe+JEbdfNyoylAYsrLjc6b2qFGv7u6dkAoNAB3Q4bQvSe6sJH6efk0qhxgwcn7TWybCY3+u9x3LyqNWzOF7TQkuIXhNdgY9jiFF2hIUo/bI7HzwCvGJI3x0Qwt152juPJt7vU484BkXWO+2h55Oh062kRtvBa6V8EFL1Jh9TAKh7RimMC4JXFwulOXMRZFkcSgkopZAYFUiUct8vOKcn6tfkuHN+WMhvcxTeCjoaSi1Y1jO7cxycRHijuLVi2y+mIPf9tu9f2WwsDNCbSvb3VuE0+w2drCS4D1x5KzsBGx8cSuYHIUU4T+X+FCJyLTpw4kIZGqoCRuRX6nsKIZL0cwhwjhc25zDKxkNJlF4PZkGbaURi1KueZBh0JR889rzDuYBSSBRE6K390tmyoyJ0LkfDoe27cv9j88jXjP26cYWJ7A2GmE019KBBMyhlw/WyIS1n2k8Mk/x7CETLDcHBJw5uUyTagqE35Vr4mlbNtCdW1hIxDICCno2riFKdkAVcPgcM+hpNhGPip6x+Q+GJtqOjMECSBTwEj8z3w3k6p9bI5mOqJghw8k49ssZ9lPviRvO79xD8WmtlT8NXLGuisRU8XG1ouyQJvAZmDw9vsa4Puph4t1DSY31gJbqNm67J/1I8EFNagd5Rasb1+oJas4oA2KCJwPGuxy3nue8XpLRCDJ+Dj1jSSb1m4xK512/XXiwB4F6zpNKfZNL3MpAgP5qfQaAy76RsLH9XNUEev5UTOeJSL99Ta8Hl8sxG1zR52QDsp7aJd5ck3UQBkxJVJPjUSkbei9KXb7Y+ssdHqf5j0o7mvIzXDxe8+SJS37vajzgNCmrhhRgmwAc0sL8XONqNvs+OHTfOrwEhjGBPTmFUBwft/niaJtbgzw8Qpz2D3zGMjhXJo8jQp87Nvk+Oa6LOHjZrWSIHdewNvadQa/t0LHukdhHMm2m5Mq9KAjCKfRIrhYP3IcGQAmXubTxWkSzQb6Uq6EQZvVFyvNRXfBB5Q1M1V72mh2vTOXniY4D3fbI6EeApQM0LfY8rC3a/cKbaAaHpzv1yci5yjEcGAc2JGEIy5jNynRofU2seoQMFrLAZA/pGqputDhuZaT+mImyvk/Xy/LFtcr61VQRzzjfPlBnfpew89qGv2ffbKuX8+nzfzB/07+O4vPl/BjP3FGmHwnwdwNJ5TSjL77aKS3HW6HsjnQ6uNE0CQaQOKlVNiTuJlcKAtJEokHODLeBDQCkVVvlU4lFfKTldSoH3AsSiapNQkcbjdHogym8httEaEyc0aVwvDydjw+aBKElD0c6gvvFlXRBSRM0Fl+cLjWfn4IKDC6xSaxI/9r664FQfQ2I1sioa/b12npHfdb7nXkdwG548n/LGzraAtTT0BuoVDx6Jr1l1gxJLY4BF0DoAFjVxXtgdTYsRslnxMh89fPPAEicHAElWdTPnWLsTeF4HpN+xGbp561z5pD5VsXECgHRadP7eXjcSh6vjc+Kj6hGQljglPySmPJ0eOSZ9pGJIaYhpQS67xpPHx8rOqw5enw9pAzsmcORvvXfVxfkh2w8Cm1WrmnkEqocJSX4/PZ4oE9qB7TqyYLIwycQVoufewLGPAcgceqWJTURYBOjKg0QPU+AJcPgc0UY0tBBEwrig94oQRIUrwgWZbDlIqJkpj0MkiEBTRM4bcrvCF9rfg38CAORSOYsSdMDmPeNy/WgGDgcCPqDVRQdH5+ycdxHLcsa+E0ihftRAIkjcwLycF5Vv5xNCKw1pjQhLQFrJ6DsewJpc02kg8D6KqWqS32RAxgicHAdKUQamyfY3jEqnpY21zvQuzY4ROPcYxxU4wy0KbfmVExLyvZzNJ1uc4StHHmhNRXToCQta0aQentFPHJekQcJyWpBPK0quOJ0ekfcNrVemNyTu0zzB+4icqQJp6UQyBvb9qtQXAOggxbBq+ipaa5ONioz76/UFn3/+2xOtVStWtSGdFlooMICEqMNlprFZ6xi63mMh/lSWd9uveHh8NxYKVacdwkDWt6o3on7kvOHjx6+0H4rGxC2o+alsnkFXM/0Wo2eTEwRMkREl2mOfWef+ndlQnMabFeLorcI56ineLhse6yOaSbLQezq6E5pMh2tVza3Zf+NmDmg2M8v7QOD+p9b12RQTbLF4AtOoJIC5F5TegLGB3W6ql7w0T3PK9HcNEOcKpj+czxGMHn9WwKC/2++gYxRwZ8Gtfh+/3g+CRX0QMGju4cAghgDPCTtRnfV83USd9pXn+fOyYAmBet4tW6iTKFGxwbd35OsmAaAfASDAFQlup1A6KmfiNag0N6bV22DCSVAITD1NlfsYBZypEmgbVc7WulrvCOCtxpZE9mmBs73XImikardyv7x43HFiJzi2YGu6JlhgI737IZDipdxvGU/7dcd22fD5b3+GZU3s9+khyvS9UwW2tQa0jnAKQLtP3/4xbON+3lZ77DNm++5qrTpObPLxXrXkfsVxzH+SqLbvkbnB7uMmIdFm8EOq7pHjrNGjKWuyqHBKdVM+O5RLRwJc6NNj7nbY953YTsq0sowLr5MdVUidMp1oXHVWEK3wjubX6/VVY5MYk7ouaHJd2qgEAHqHuheIT7NsMQV2RIhMB6bXyXvTISwRaV10LtguBHggc51zmvQhYc+K6hz8mvSe10Jtcb12VlolJh+d8lCU1iKKzB2d2nwkEaVrXvDwvgONaO/OBV7vHGqv2LfG3rZgS7HAcT5Q9qpV6N47emXKLBdn6p5p3ZPv76M66TsmZW1Zz7VHs3Bagz5Af/MOoY/WP9zpIw2RkmA0p9J3h+hAQJjo+HmjKvawYBnJAAXqISAtwF43TYokrjY657Btrzifn/S7pbp5BI7H58c+Q1K5tzoRFHvQM5Pzhuv15QfPdz+IRksL21C1BCSLNA5KJvzPf+dn2Jkyu192XWAiqzWK5HhIUTPkwmMWz0UfPPJzVgAnk5n4eDo4Npil06qVRFpilIoBvU6G9kDzLIktFyOSyBCBh40noMgZAJH3LrheLxBLAgKpGcCg+ZSyEa1y31GLBx7oNdonW6L0nT2YiK9d6o7WCpwAMAd4RKREQFMnyhAQYsTD2zNiSohrGP0CpQO9orOyX4gMTr3HiY2Go6EMBB7YUqncStGFuHche4ygTDLwEjQ5R/2Z8l45RmueLj2iGuwEr1W4yWKhjcA3X3d92qTaaDPannvhWqOsuhgrJ6Yl7NeNMlKyIJUhnlJLUdnxmIKqIJ7Pb/D6+hEokqkl8aaUTlqVlIdb/E6FTiuKxtWKJDjHFITCY2vRBU6otQr8tlc8PLxD7xUxLVPwK1LqHaMqKlkwEbPQrfXxPFq65mFRl0x04SyYAE0RefBeqqVV9yO9mpfLMy6vH/X+3gtIfiqb96QA2K0SrQgKeKfJplpIZbrWWUTD9sRQQDFXqJwL2q8JYArAtu0VvX2mIG+qaNXR/6Pqo+BnwLxvCu79eJ/zo4IuW+9QYHJMKjg/fC49P3cz1XWAsJtraF5s/dNA0ypgSwuAFf6RauE9OpRcT3u+4p85AU3M+zgeg/aef7oQoz7Fds60omeS1BMFcHm+Sq1YoigOU2uDdw7P21V7VDXMPQD4G2EoN9gfUt0kxouwdvp0QyTAdGbtHoJr3SQJR4W91UbZ9CWS8MUuipQNMEq58j0C2OS4P5UlFxE4C5pp/u/w3GPscL8fUH62f7OUXPnd+oLKc3J9IVXt9WHVvlTnHFwcDBjxiL7Xn/2j2hRQ2v5GG+f56Zq3WqjgwJXNAd7uA1YAh+D8lhJ+fN15D7B41fS6nc9EEMp7xJB07pTWBJ0rvNHLCJLUS0gpUYtJrvCRaKohxAm8SoWpFGKppHSaxpywmFI6IRhP8rQu1GrBz5i1anFRBIEojlyWFaMXtmiltXLVUCjLzjms65ljEIkbuTqbqEWrgzQtQqDeQJ8CTucT0omEZF6fL6h7VYsRB0dWe9z7bcU8e2uoBdr77wKpUrvese0PeDh/vB1HZj6y98w5tiEKNBI88W/NvSR16964UCG9uX2Isym998SVw0JJCiowdKQ1UlJoKTc0fxF/kteHCnYfU2MaCUSxfkPrqlcgcWfJRjjIMszknPl+ABSzXZCBUrGcGs7rSF4I80WA7stloXvGGgyX5ysfayRf896x5w057zidHqiAFQJcK8oqvXfdnZvZKlaA0FY4hb67ba8oZafv/AHb9wabg2Yw/PoIJRt+vvPwzuOzL7/Aw5szem348PVHKrXzYm9phWJTERwtLvowcgaVBkllSeugfXAaxDH4TMamAhi2FLLJghVC4IeczmFJp+nC2/J18Am1kUKtQwAcdDKicy+4Xl/15ra2caagaw+mBAByDBLAu+jYjoKyN5ox7AUhJP0OskDwePr8iTwkTckevaP2il68+hX13rGkiDVGLHHcagGZDg5LjIjBo1QWpYAJ6GD6n0wAJB50dB1Zztl7FhiiKmmu5UYNUis/XNmsZfTOWhUwEiXBlDWXeyK2H2KfUjPvR0SYTGAtqot6vZm4T/ukSSUtEWmJOJ0e8fDwhlRp9wu8j1wFD+gtoICSHDEmzZjKuE2JGvXzfsW2X+HdyKiW4jQjRfv0SkGV3y+XZwQfcTo/0fmZ6kHNNMFRD4Bk9MF/J/pELW3MaxhZfRqHVXtEcHg95x3L4geFtjcW2YhAb6hKR6KkkvQK1FYgtPNRjbtfMf8xb577rfs0BxL1XxZ3EqkqnMW8o9jYB5iPcYwR8QpOyxCZaq3pIlLyjpIr0grzd+4T6R2SRHPVwccZGAL3q5DyjKpvbe8KQp1ZPMk3LdwIy9gkIO1bT/EGaAqAqr3pz5/qobRA0zk3+V/aBNenaLEKRmV/9vOHaqqAd5nfWu9IpsWB3tTnzx7AHzAAsfZ98viIB8uI2joKZ6mj99hKQW0NDwt5I0tLiST46JoNMNvDEXjy/CA6J5GqeSEO/QJVjXSsoCinFTzQ6kTP7b1jXLgZzJVMyUnP63YDJW8npUoKA2j/3Ppg8wFHn26Zp2UdkPtHFG7RfWDgupfpc/K//qzz/aDM2XHfGimcA6SXsF12nN884PJ8JUovCwEdqwSyjgtN/ce4zed8BIODvthaRankRelgq522T9jDMt+Oa8Sw2hL9izlAthWXKUFy2EZyYgAvec1SvQOz1yp7aMpW66PGgsENGup4FghoO8dK884cF0ZcWWvFunpE9jx0znHFrk5aEzKWxN7Ee+nX99j3K2rdGegmBbwClkvJWJYTTueVnilmDPjkmalCKrNk58aOCTEhrYFb3RouLxeu9JtEpcZLzQhocgI+VzjHdFSO0eQzf/Knf4O0VkwySq93JDu9yn3S0gomWIE0UmT9YiYCizvWUlVE6RiXA9AilQV2suDEFEnwKAvA54IYuxvQ/vhj3EPeec2bY6U+MS8aU3/FWkn3W0ecJfu0vbL7lnH5eMH2uk3jFcCYS+ReVBEdGjFzWpP6wDvQ/VwAKnrEABRyKwg+IkTSDdHvcB5a4h4Dlr7b6EQ45yas1FpFqyMO/CHb97c+yQWtkO9P5/5HewJCUfjit34LP/+Dn2PfMlpt+OaX77VUTW/ngeMc0po4oPZKW9jKpipNmm0xyHtJK4r33LsZlQ4hymDLcsKynCljVQpa536NkNBrgHNmEopRe+4GZcIrIJQMtQQnlO2jALE1Ml2Vz1I2ls5x2y4KJmmyoMue86ZS3aRy1gFQ7x7d7wUWjKd1wcPbB6wPK+ISubLVEBI1gzs4hMSTfYECLecc9lK0DzN6j9OyUL+lKa8nPufgPaI8s3w/lzB88xJXS70nyrNVn5TAUai7vQ+fPUku+OBRSyFKtBuT/VyFMVQcEyBLACDceqFy071J6J2oC2Uv+re0yLhyqIXuY1zIm7Rx4LKcVrx9+wX2fUOMBOT12mtgVsmaIkSs69ncu0hJiJU85mgyIiU7qhx2wEhuL8sZJF0+aDGvl49YT49Y1oSSK1X4g8mqc9Klmqy6iAJZIN80A921SZ/uw4GaxEma1pL2AjTuv5ZxWivR1wr7cpay82TXQDFF0Ht+b/H/KWwC8qTaLMmQkKKKM7TScH29KFgci+agMAtlSCoIrdWpqimWO+BxWFtBzTTGldZ659js1vk4e+hTUM8HMVWzGgcAzs/Boc6BGtgNi5Tj9qm8g01o3ai3+vlc7DkcLUpsBdECsCOAtqBvUG7vH1s90Dknz0wF3VwZhT3O+4DT/uzcCDBiCIg839XWdT4t+z4F5MlQ946CRWKtQod0COClGtk9kDAFlTZg7yY4A7jCEINSVwFeleS6cU+RXI+8FyxCp9272oz0KonaPlk7EatkpvVrJV5M22vlJIc5F572bNBJ31W1UmnnQV0zZL/OwTlKhosXZytDcC2zqNy73/oMaU36bNjeTAmGW6lovmGNC36UG6+zYsHkXJ2AJL1lzPlyfXy4H07eFfiBA5x9Vv241o56KXv3kBaYETsN+4bjZoHjm7c/Q2sN+35RhpH3kQUXqR2EDk6OsfPaVzn5GhlUCtsnMK2WsjtkdSXr+RBq8y6itkzqsX0eQ1YXIYYVcMC+b6h1Z4CauNjhAWS9zqVsfAzJ2JbR39fzChcDQiRBm7RGnN+c8fB0QkwkGhlYdLE3Uq4v24ayZeQ9M7Az6tPa/0+e8fIcaCVSxLwqU0MPMckAgeKcMD4PQJNQovSs4DF4BNchKsBCUaX4D3CsqCp2StP8wWBUgHJcEtaHlYsVSam8vhHd3scwfbcyeByvTP2wBnjHVGEGZzw/Ak1pLgNUy9zk9HtrZoeJLbMbglOgKp+thejbgn1kXrIsJYp/E8edDRFJX2+lIq0Lrq8vsK2Cun2CDSCVc+8jvAs3rS29d2TTIvZDth9Eoy2c/aaDGhLSzjmcz2/w5e9+ifObB/IHbA2/+ZPfcOYgcHbcAWXcqCP9Vi5k4QZmoj+MCYMGokdAVGqEZJ4s7RBMVaotc99UgHOZabMRzgWkuKo8s/QgKH21AyVntH7rJSqTWCkFtYqHXmKKLPj1DKArgHWuHsQFGllp8HnHNCtStkbZpPObM9aHVS4QpD81sIk2VVQE3HS6R60qpS0GrzYlAAVW0fTk5FrVWxOAyu5HA4pkX7U19jOlTSqaowdw0MmEKpa3HXnLAwR7aJ+FqGi2Shkzn/zoQapdM0Sdz0sTD97BschFZh/KvJFdSNkp805jzXMAU7X/V8CtJAd671iXkz6Y3kvlmyjTFeNBLaWgt8qmuJHMmXtDjAW1ZJRKCw41bHs4N0Cdqhx7+V7qed62V7z17whk1qbnK/OeHCcJc9E9vieYoePm4I0mFTSxQiklwzuiZnSliTegS7BHE02tVJVrtSil2H4fMADnT41WSyJVBWI8L5vQmGqhBWbbXrVybKs28mwAgPSXy9gIMSGExIm3qMEWQKyKwurWYAAgYOYIttAJitiqjwIM05eLTs+ZVHtksdN+6DvbX2QROlJkBTwJU+JY9dCkojI9+vRZAYJTFe47jk9ZGQcKrSTcFNzcOSetkHB10bZfzFVRurRW9VafiA6AhT9KbvDFjBfv1W4qhrEWJkcVzc1UxfU6ej/7cvJGaSWhg80UUhsM0rUNuuY554gCOwlvQKufjuVXrYBQbw1lL4hLhAVmMPdFj6s1rbAS0DNBYxsVrVoaYhrg1vZ32nt8rGbKPuhnaBBGbzPUWefMveb/g8fOWhKnx9NN9WFcQ6lUj2Dxx7Z5T16SnpP3FDxHdFa6lHlI56kQRtyBAS6PHpujMlQBHwDjdU7jlASnROyRwBkDBY+byunxma81axXmfH6Lfb/gen1BZ99rUfafEhY+3IypTg8wAcySCfx6r4WIbb9AKozUUx81tktxAdwJ6NBAvndSGpVrgt7R+kgmjiT6jn3nccvv3/cd3nksTJeV5+t0esK7Lz7D42dPxM5aE+Ia9TvWE/mC1kL9/XUvBJB7Qy9cNUPXHnz6nNNqcOuNmQtu+tfBvrfeTz26KlwYnfZlAwN0SlXzuJYI0IQI1xV53rj6y2KIzhF1N8SAsmdlTBC92nhHFuq/zNuO149Fe7Tls7bCSeJ+A4dZPQ6RrxXlaueIISvDmYR7gBDbzTxH62ZV3NNKVf9fHzz37UPvpy2iuXRg5UgM3KTSHLW40dG08rzvO86PD8psW5YTXl8/DECNbp4zEvLsfM4prcSkkgXMgNHeGtn/BWkn/P7b9wab+5V6EGsrGtR6H/D2zRf4/Le/INPxShf6cr3g/S/fU2CfAgJmywUBElIR6F36I2jgXT6+0nsi99oxPcE7mghz7kRl9NRzCTh0jMlIJiaixJDJKUBAIqUVKVKWSSi6AHg/TFtglch9J9GhnMekS5NMmcBxaxmifFtr5mpY0vdJZkKDAb4eIoUsyrvUsEwGwz6RJUxMgftSE3roiCs1WcvD7haHlEggiDI7FCA9nU4KFpcQkFvT7Hxt1DOUa0GpDbkOzjcA+JSUUisCF6SeyIkCT5XM0kT0iCaAo7/cUXVW6AqaASpVKYmuyrWXSrMAzQN1qplFrFaWxjYBSKc+TR8WrdK2RgGn0CD3yz4edg7ydf+Qhc2rahcANtD1CC3BOaqgy3jLeUfkJm2vyZHKFe7CfSAyBlj9jrvrt8uG9Uxjr+Sq1jm1VpxPK1lqVIfr83WeFGzg1jskq2pp7jKepT+ztYJcBoARi51aK1yTrPUAmrnsNxL33o8+QNr/j5da9qmt7CP7DkAXVAka8pbVAwuQKvNMTSOwPyhMQyHR6/3SLDl7FmtgL5TFDl6cCXpYoPhdoFAAkrxDKkXSZ2IBwRSY6N9M0MHA8c+zCeNBRowNHp0bXpjBO9TvCOx1PnFuqnjKecl3ySZA85jFtQDxJni4A2SP50L7AOA6PBzupV1kPh4JITrWJUa87pSYWozik3MOiUWESODOAsz5/O/K97PFiZwOqTKOMSHr73Tdo0dykRSWa8N33U07J8cUqNqj83GbrKxkC5GrQ6z0ahMuMvakilhqm8V4WlfLEUm0SbwADDBI+7ulv90DiI3ZB3kvCpzjQlUd24YxjSf/5xvjf1k3UdKf1MalGsmgz6q2zvMBps/ZTRKSzjlWaIY+KTEm1OpUK0BUZGkL6Klzwa8c9jfub6kZtWR8+PAbBcJCOQSIchiMUN/x2GCeK+89qnOa6GudKObUL18AjBaq3jkxjAbvAhoDXHQgs62ciK703lFy1nYa2eg6cpXYByyR+kFTOuHh6QkPT2f4GNimZ8XD2zOrnTdlreRcUbaCa7qQ4r7onjQCTOD76JiRBscJHY6zHGjN6sUy/sL0rNmNAB6JZh7nJDsmYgxMXR2fE6V7MIV29LZD76fGoGEkBag4MeJH+31SMLq+bKSwy0BuOSXEJSml1bEWhu+cPAmO58V5zZOtljZEMd0s8ldz0cSv+J5LLDuO18E1xyJHAXBN2XlTMrDI9bPrrmmTcg4pnQBckXsj6xYAvRO4TcuKbXtFjIsWO46bJtucY3zyoIUPSi4NbZGuict2c03+otv3V6OtI9h5fPwMT2/f4fx0VnuOVinj+c0vvsa+bVq58tXp4ARo0tbyMw/Y2hrE6/Ly8ZVohcEjrQtVEIIHrtBezRAigo9YT9LA2jlL5gE4rlBlw5MfEyQ9TBT8E3e+A5Am+AoZU1IBq3UOtjRzYPYHDPl27wNiWBjMDmqmKObSTsDKZA0pJaB1xCWgShAXA4FxOTt+CEOiQUH9duNB9DFiWRecHk8q2GErjs45JO+RW0PmHoLXfUdtXUU67qowOqd0L+qjkuqnZyA6+myVDmfGp/fUI5SZ0uU9Zafk2PedbGwG/ZcUa6W/F2Dlu1w0QpZjEzXCmql/M/TADe1NaYElDzNxaTwPkUD56fHEt8Lj+eU99v0C8g+7GtsS6u2kBAMthOv6oD2b1+sLJS/SaKSW5MV2fRnVKecRUoJYBVEVPGJdzkS5fLni9HhCrR3plGjyr037vVpt2F43Po+mC4FM2Hf59QaAyhgXs26p4AvQF1sgEg6iTHFlGi1diwZgDojH1/x0Kpsh0AImwbZW4tjjTJId5J12O+nPlRapOBohLBf0HlTuiwpMyyYxAmNez5vtfXaQLGuHR4MLt1ll+TsdOCba0zGInMGgBZygoKX3ifkg4M9u9/oyjyDzuNU2U2GdA4E5My9913dINROgzwEDaEoF0CbS7HEcs9ZaHTXn6EaBWOmscoy2Env0/1QrKqYHl1pvejrleGII8NzPKeuMrVTaY7Nb72B5/4DA4KnVCtf9JPhz/D6iyHESyrInDBCUc+md7Mwo+erR6hCBa62Rrx2gc5cIVXk/V0HsVkuFZ/E2XTcloK0dYKE5GbuqHolRkZefx7PFx+0G+C65qqJ9zQX7dcd6XrE+rLg+X8b1NSBWAut8vX2mfwybBJ10XaSlYigjq/4ASffr3ASM50WqhkNkiMQVZWu6DguFU4SpSPWcCgrZiDDSfWp9fkbtvKQUWPSpAFBbhWsBveVprMt2L5AmddQIQCzPis7FNu4gqu6OdQnoqCjFIUUJ1gsaKlJKyJnWAALsDq0X7PsFNlY8n59wOj3AOY/TE1mgwX2Bp8+fcDoT826/EB2z1obX5ys6J9hb68hMjXVwOL85IzHbIO+ZYx3Sp3AC6BwUnIn4lZNk4iGZIkl/qeiO+yh0+cZVZdEX8eot2jtQVK19JLYisxyisO0KxYjHhJBU2ABAmNK0TJrn3cQ7vVEMJboDJArGlGBhSpieUps48oZhSZiEXzftHdI+Za9BLQV5L1O/u+od0FFNgNjDA6EDCEAY53CkJOt3lrmqKIwnoXlLkWM9n9Cvkiw2yrTd6Rp93H/wQbVIbO+mxICEMW5jjb/o9r3B5vqw4rce/oqeqBrLe4+yZTy//4jL60c4zoD5BsBT87JXxE7AkcRuuoLO4KkHpOwZ2+tGF5UzB+If6RzRGjpne30gv0ZRFgOK0m5LydprJtVIaYoNzK2nysGgt/ZeECPTI2pDrhcsywnn0xtkViIbAhGsmNroZkl/Ve8VMSy6SApgoUyb9JdyQzoLgzipFDlqZEcIWvXdrzsxsUJAbRU9d72BMY1sXStDvdT6ZQpQlIETesfeO0prKK3eDMQbTzvvqSLoyF8zGJqMLALtEJxJRUL81nqDerTJ99RClA30DhcjCZQwhSOyQbJYpwwKxQCZvdNEKwFGyUWzeQBQa0e77prBksy5nO/p8cQZqYayn9Dxlt9TdBGVfo/eKrr3WJbTjcrduj5A+hF85IbuK1GHY1rgvFfQEUJSDyNRp03LCufAas0kXS4PfTWTI/UA5FnN1yQbjpsNnKW/upTMarTiPxaoD1A8c/sArfLzvl+VVsQ7ZIonNFj4KW2SdMkmENVAi4Phkgv2y35fHAhzVdoGxb0TbagZitDl9SP6z2zVuk+AQfrk4E0lS/c7wIH5cn2P/D5XhuaAo3P1U+Zp2QhsdVVYle+x1iIyV5KY33ws9roJYD2CIEuhFXAIfBpYykcF9N15LG42C97uAW2rMOuc9dEE4AZotecdvEeKQ9Gy6lwL6pfEEFQDiE57nIeD9yjMSpmugwm25VitqJvdaC5llfZStb/J+lraBCqcgwcllXqbx4kdW5olB5C3HctpRYiBVCs5LqAADwzy3KRybL/TBoxShfSBgmWAKb9yX80x0bxmALP9m4DeOoJAqfYLwJTvLblie91weqBAf3u5DlDkAcc0OgHbPzTT///PG1VQFg00R2uJZ6aW0Pl39pgeSsYhRG6r8GZ95Gq2UWEF6whIpbRzm0GMC37+8z/Ar3/9b1Brxr5d0XrVtfMo7GMT/rRWVuzbFWlZWQTvrEI9EpeJK4BsE1jpdaIL27V136+DksiV3hgjWhetg6hMLbo+BYnbolprqC0TUPcJ6/qAZTlrsnc9L1gfzyQul2SOdcjXjO3liuvLhv2yKdNpPa0IayTGifekwg/g/Hji+AmsiOu02APvEBYS4GmVEjcyfwNAIJeW8ZBDGDIsPMT909bvvXVqdZKE/7GPvzEQ9RxLa99mDFNMbn3DZaw5xzFfHww4+n8IFOkY4Ge77AV529EqMSljihr3iVhR7wPAdbOGlly1FxXgJJZmEu2cA/1Ztsh2dJjWdJ4zTFLMt46GRgk/sIhZbZzgGcUUOzc6ukl8XenZEp/0keihKrb0KJ9Oj9i2C9T/tVuxMyqmSXEg+Mies06vu8R/y3Liaul9RsCfd/veYPP3/+bv4+tffI3LhwvdpL3g5eMzrtdnEtSRoKvzIuKpXaUbcQDPio3LaZkCJ4B6Qi/PVw1+8jaCNeJC0+AVUEJVI+DjxxXv3r0n0OkTGmfUJOsldMgYJZDYGGRmVgrrOsGkdEKM0Myd9za7QN8pimFSDaJ9VxZfGROwKHqG0AAQFTgtwUgyZ6RlBXyBCxUhZATn0FjKuXUSpViWBemUAO8RI9NMO9GlYiLedVw8tv3ngzYbR29A7x2XnLHGyMFfx17KTTDW+8i0C2iVh6ewQl8I1KvZpmoM98s6oskAUBEQUsntOl5aaGpXIhXHvGe2XqBFQ/oGJOgWZbGajTCOOXipMpGIEIHaSRmtBwWjjoPytCZUptTGJSGWFU9P75AzLaR0fwucWxBiUr/MWsW/iSip1Ltb4eCxPpw10JHvFgVlqnYnBKbXdm4GcFwt2vcdeAbi52/0nPM1o7ZG956fB2sULM+UZF7tJsGjc0JZI0GanHcFvERhkrRh52paVcBda6Zr0RtX3EYfwE95k6yx7QNyrChdC1Xat42SU1ODCG+j2kygXipjQv3PlfrMc96wba/q6UoBnOxj7lt0DK5o/PlJ0EWzwOV+9c5WsQRcWlGY+dhHZTSI32gnFWvnDJ3VVBPvVTZtxnQSGzPg7t5273ULNOUcjtsRbzuHKaNsz0/+n8G1CcR0jhu2KbJKBE9k2s5tF8GTr2aKEaVW6tGUuZKTqCK4Vlsz6rNtOt8jOLT3/94mwWjvnWlcXYGqKHmLl6rdP5yDD0DoQelo9zLj8h2tU5vEsia4REb0vVGijKqbDfBcUe2cFDkEbRMA4CBXlDwtSAQkCVc1SJUqs4gUtTbbnEiyunMFQXqtpQoGUKKyFLJf8TEAHHeIaIkEy3cYyz+aTZKR3hHrZtu6iv/oPNEaWq/M/MlAb3jz5ks45/H8/A29j0V0HByvG54TBpIsY9GvOtoQFPjzHLdtl4mV9qlNwQKzby7XZyzrifc7qKnHuVJiQknCqphMoOqu+BbKvsXuTDqjI9Nia61YErXS1Jq1xUt6PVOKOs95riQ9vH3E+c1pCLIxELo+X/H64YXYgyLC2TvbtUhSzKP1hlOK2ldYuMdR501P+4vJQ5r6vXNo0mrEiWQXhjCMJtZYIKgWui6+D1XV7odiq8TtlZVj6Xt5XuBjSUtErcckGt+z2tA8s2BYhVbWEnjy0VV0aO51Y6Apc4xM5CEGbK9Xtkqi+DguVDQSxwK+iJMdih634A/WlPGHdhf6f/yulUxODIdIrQTSfiAxs372QCXWxAQzM+Q63GMYueDRC/Wg0vNAOEIKBBQ7XnA6PeB6pTFIGKXcPDvzc9wQ06IFAyrkCdiseHh4Q1o339lQ8WdvP0iNtuwF3/7mW3z48Btcry8AxEh3mL92VrgEIhqj+IioK/5yWvSmUz8iLbTXlys1xKZR1m61aQlbboJUJ+UG/sN/+DdRS0bjKqVMZLVJhSogpRXr+kD75Enmenme+M3r+oDHxzcISbyVSHimtYb1fEIIAfuVwEgw9DSqlNL+wNlBAaMxJjw8EYBIbKzbe0daST1rOS0KuuKSqCpy3RkMRK0AL6cFaU1IS4LzlDUJ0WN9pOOKKeDh3SMe3ySsMSJ6jyUGFgTihu3exS5IbQMkcBKblCIGw+b8Wu+ovcG3BnDfJt3nYWLuOvUZSbAkk66Mm33LEFVagDLi8kC2WhHZ8qTmiuzGQhOi13vRCtFHJFBSE+JakXdS6uwcIwvn3TFtZGTXHFsDFMrMcl9wCB45dyzssam2NZLl5clPJKZtZWhZznrsxXuUnegytCDTZ1ur2nXiQ0DtFehAKUS/qTVjuzas+0kBTMlEoRM1Xsn2yWYDz8ZKunYTNoC8p6Mj5+u4L0UmcaNmy89urZXtey7zd+JO9u0ntuVt3AfnnGZ8naMkgRUHghvZckme2E3BG7MdJMnVmD62M+jMedeEnizq8CM7L8ch+wQYMLqx8B0XTlsdOFY/tZ/HYQr4FUQy20Erg4dxoNWLA1iy26eAlHzvp0Djp+LPTw1FZ6qs8llRoD2O3wFgBsuj934Dcum63Z5T5zm1Q9Qrh02U/AOgwkBLDPqavM/u82gPM2X1zT21iT5gUOJco3WF5tA2km6OK/FGrdru13uHxvMmnJuDqEPVs+aKEjx7W1N/cZegFICiS3s/WDG2HSi1NReEuHBf2mxhRS0Z0GCPvv47Aiqh1QoAbSOpI8Cg1YrtshF4dQ7LaUG+ZqZQmvvaOlxwP3q/zdYpcZrioj37FOCL2mpXeqsP1GJyvb4w/XVQaEUPg/COU6XMfbugdwKirgvrhua+6/VlKMbiu5k79jVRlLVelEe6uX1W5D0yYUiPqH3E7TgqLPgn83fwCaXuSCkhpqStKfDDWzskUruPieIUOKLDhui5JWbH5eWCfN2wZ1KnDT5pgljabMh5IGFNCyIr7CtbAaT50dEBZsg5VhNvXL1E76gg8T/xi+wFJLDDDgNwVH0b14P2E5eImIJWL3W95zirM/gUlVVpUaJ9DNVXe90joIlZ+S4Be2Uv2ptOSXJoUl5a+GyxgeLDwG0CXdVgYww6v3n25RRA7r2MjzHfQedAAbMjiTUl1/otVV/WI7LLG9ReAezyXklsSoJPrMaIXsvKx5IMqaNf03uviI3mQxkfhtXYyGrN+4hayR4n503p6nbs24TLuj7wOkd2OeD5UIDqF1/8rlZSv+/2vcHmv/sX/w6//ne/wOvrt5N4xXwy1GQaPHkaBW4o57OGCLTIRXCc+S2tUTDNN4UqToOKBIxJQfrMciZ+v9D8gk8oJaM28uQUv0oAqgLmo0fbOHMTIk4GOJxOj1jOq6rstdZweqBM2fnNGftlR80FDw9PWM4rZ3CZorgXLOsJDvTQi6/Tej4RUFwiGVcz5SCdEpYTicKIeXVrDQsDSgAkDOOkxzQgMb3UWue00kZFpcxAsdR2Q3FtfaZcybkLeBbwSIFQND1NnFXuY+L51GKgdDeWnEcfjey9M/21UYXTcVZaM9GGVtFaQ9ubWpp0s1/bAwznVMFM9tU7tFdoZO+hWaW8Fx1rcFQZOZ8fUUpFSid4/4LrZcOynOn9fJ4hBLRcOdkxEijnpxM60zS8ZysbmSQa9YECQHZXLMt5AoaV6Za57NheruP8a0XmKm9napqAdduIjj4nYjRY5h4cAYi9d9SS0RcBlUTlpmMUO5mqoIeMfYX/z/cagy7yQ/n8f1k3BeYHaqBjW4ayM9gEiDYm86MTUCpqxCK9P94jQmKVg7BaSWiIquH15hjs75SZ7Orf1TvgTKDewPQv06coC6wmLiQgYTAriRpLo9VAjPcRmeoZFKBBQelMMf3zJSa8myuV83w1v5eqqkMY6N5XCNC0+zoK6xwBrzxD0bNJuiNaqxxf7f1mH5Pibuf3oQHmGlv7qBi82kXZ46ATvfOaXoMDQFMFav67UXNVmmOKgK86j1Jijs3D4aYgSvYlAZtliRzHnXyGVMBHICwVK+eCVspH8MlCLLkoRa8f7rFS7EzVRpgvkkikOZLndn/n2OSZKk2psyRMSM8ABcdSRe1wjpK613hB3toAuVI1re1uwujHsEkAm9JpiPdxG0U0avZ0TYqyMF5fP0wCcuJLqe9V70267u6gBNvY0cA5h5w3WKsQeWZaG+wPu2nMoGtXQc47+V/nDSmtWsW0irQ2sSoPjTM9xh1Ne0bF41D6QgGgMLNNYgNqr6EWmsfPnih5HYl1l/eCfNlweb7i9eWZkxgF+75rLCgKt7KFEHB+eEQ8JRWMpJjUTUxAYWVpIkaASnMM4Du15cAp0ATAgJSee7E9kevgvUPkuDREr6Qcm1gWWxXn6wB0bjyDAuYk8WQBqADpEIeWijDZgFFdJFDGtF/f2avXabyjgJTnnt67igHFJWmRQsc3J6qcc1Ps1EYIOD0LALVrCVC1443mMeMfynORtNFMc2kbCU7dt2c20WHOszhp+NP7m++maxnRu1SVPXLesK4PVGH3Qec41xuguzXPHVNl6Zn0HJvQd+37BTnvePv2S/y1v/a38UO27w02ry9DXbHVArhbmkPXDP3Gi9X8dUT9jGqD4gNZbVz2naSCHfdXxoDzE9ES8zWguqrN4zIZ9tawV5akdtHcCFKSXdJJPQjlM+LPQ/TWoCpllH2jillaE2WErhXLKeHtF28RUsTrty+IS0RvDctpoZ5SbtbOW8Z+IUGjdEqcNSVlvuW8sJ8oTWAxRfX1Ejoe9XPSgxIXpjI0oz4Jqnh75wmcqkKkBAVOVQBrG1Wu3okae+zFDF6y2kHpWzEQ8O+drFBsll/2Vc2DJ3+z2XVbEZDrCsfZtlJxfbmS8qqTIJZoDkJXCpHU5DoDVHldfhc+PU1WDE4nGiBNPoWptQI+lZ7Fx7SsCfuW4TiYOD2uVHEsRNm9XD4iJqIr5ExqdikuQAi6uJ7Pb0CCQjvwQoDTLxHb5aoVc7kOxKmv/P5NlcNETU+2wkpyOuHlQtQu06spt1F6K+1MaSuPRzDSWkN3IwDgb6TvYWEIeh9ZpGwb9TyHEKYKyDEYuJd5/rFuRIWPapMgVc3RG0dCTpXnRwDQFbt3DMVGDuiYei9gUrL0YrBN9+FV9yesC9rdocplQMYEIDtXmdyoePbaiPZYRlVbMtqHlXdetM3Pg/5rfDjN3+9VAz8FOMMhcWHyG9+5HT00P/WZbpJs8izcq3w458g6ynm1gYIRJrrXG/kpMG1BZwNV+WRuds5h5ez03Js6AybpR62HxMZUpTFg2rmBU50DXCDgTokIml/FGqRm8Ur0k58e3cOuCVc9ljZXKuz837jvSPrXG1cgm2ujrWa6H13XSD2XJuCQAlTp8Zf3A5KMnKsMANCFOtvNGO8U6NVasV136uu6DlaCiMmJYvqyijJ8Al6ugz5b2814+bFtMS44nR4BgECbisIR6CRWkrU6GRVOajcZ4oi0jwEypf9fhIeEwmzHcWWLFdn3cYzfiN9hTn7I2nW9vuDNm89VeZ0sVWT+padQYxeQgizvjBO0Dg5+0jKQwF1ixdYalnQiP/d1wfnphNPTA0KkZ63kgpf3z/jw9Qc8P3+DfR+iU85FiBglQL2qUtFMKSHGBet5QVoXen5TNBU62x9PvZkqFMiJkN6JLRhTQMmN51EWipOkOwNNH9xIgMIpULuZx5r4nUr/JC1pPfC9KxWIgSqKFhy1DkRyVhD1dKk+SsLIPv8+evQ81oiQInwYYyD0jp6ZOdLp/VSIKBNbUg/fDas7qqB2xR12jB1Vpm0iWdZHm8wfXyJVXUPp9x4hAj3P4NDOk/Z1Sb6NAgMn9owFoB3vNgvpPWGRjlGNDD4qkKTXHDo/b4OWTi1VkUUupTAhcUkpGa+v3+LLL3+P2Jo/YPveYFMfGLgpQ0U3pyotbyjGpulzvXe1OWmVDE3jQr0s+4U9rhoFWUJzlPK4BgJMTZRJgiYDEl7J+8aUXlKqdd7Ds82EcM8BICWispa8awP6uj5gOa+q5tV7x3JKePOzNzg9nVFzxfntA04c0EnAQPspauIaGEhK9sQzcJ4CMshiWVVyPS0R63n4aYbgkR4W7NdN/Xr4YiIkqyo4KsQhUK8m/QskIQ8OBk3lEsBNn5D8vASPvVZ9YCUb36m4eTMW7CKgmXudWEdQ0GpX76FLvRL4PlEDelABnzbJUtdCtIcehumt66SCWHaiY0jVUzJWZedkAgNT5yioqtJzmhzz+em7e+94eveoGTWpTJ5eHrHvV5Nx4yo6+x7JIkpZ0x2lOPS+0pjzAa0W5vQ3lkTnTKILU99jKbtmX+l+tskqRugXEhiKXyjNGbfUoM79x8cM/Nhf0e+j34f1BiWJaGIqZedq7Kejd0vh/CltrQ5RnVYNG4EDsLzdFwdq3Jxv+yAkI6/3sXdljUjf+evLt+y/GTQjLA/jcU7xkrkNQ7BBAnhlGvBmvRZ1AQZ/Xvoo7Rx/CObhqfJnlfz4FODcLYiyCSibkDr6aMo+ZDt6dNI+5krmPZApQM0KC8l8dwTQ+jxykFx7A0qZ7FRaPy784/rKOdnvOgLUDgKfdSeVaTmvwl7H0vsu51MOz7D1Fz0eNwmXsDiFVqZHpbkflBGlmmcB53FzjsdXmO2n7Dnba0Hr1E4J1yWyJRX396ahVqv7lz64PgI2gJ6JAKHCSdKtTlVWAYDgtU/G5pGWm/eM/cJez1JJBcUAIUW2CiO2zXpaUEtFWpOKesg6LecX0qf9Z/8ybxJbCcuGkmCUaMx5h/fLAIPoGjfZ+wZA18Q5Gc1xQm9w7Cvs3GDIxBBRuHVDeiwJlIpA5Kh23tts8rTWwpTCWxEs6ZXu7OXZMaw3tG0nRWAn6vDl8hEAsCxn1Fqwrids2wkpLXjz2Ts8fvbEY66pUE/eCl4/vODl5T2en7/VlqtlOXNcGuBYXXxJj2Sf5j0ouROxnhPisqh6c+D/VSjHgdfuTh6xFqT0DheHjUVcxvw92ggaHDh53DlRGoJ6nNM95ORjGPcihEAFjj5iDgFlvTV4ZkgNX3liEZZSFOQSm4B6woGhFTD176chIukKgEAxkDAcai5kScLJXSkqxCXq/CDznxVCu5cQPyY/bdJWjpffaPq2my48g658+x2eY9ZmgCQwQKSdq+R77Fxj74NeI096OL17OMeesL1riJbzFSmRsE9KJ/abncGuPJOlFpy4vVAUaQXT0L42fP31n+Lp6fOb6/YX2X4w2JSN+ovoQjQ2+5UHX0xDLT0AIPUmoaTIIC6NK1gMKFQYiCt7zlPDb+8B2+WKypk0GeDkaUiAallXDQRD8EgnyhCJgmmIAXnPyNvOdFuPGFfqh1wTClNR02lBXKjaJUatpKY1xEBarVjPJ+rT2jMW9koUqvDp8YQQPTZe7Fojnx1pcPaBvJOEViwLfitVPYHSuiCkRiCYaaJHSeSaC/njeQJ7udYbCq2IeEiAk8x9kWomAKwpwhemXnmv9gHaq2WCRA0O+H9rfeCdo+pAiiiZlcJE+Om6U/Y7CRDvKp+vAVSTHjSHtg+J9ZLbMMTlB1eEfyxnXuSsqRJUUevITEmfQFoTT96O5PBzQWfLgHV9wJKe0Tr3bPAC2thrKwaHUnakdGJKLU08wRO9xV8iStnMwitDevQLSfbY+lQ658dYqSMTV3Khqq5c8zqqkOiml04qm+Y+yTYsNWgxRu8a3ArIFHGgfb8YIDpn6cYOf9z9S5/aClsHOREz8JIcobG4byRARgDgQOdxHiInI8mFUopSZCWjPoB/w3V7wck9URBxWBTsvZHADhBKLou0aEVzLGq1Ug92rwRMjwuvBR8EYinh5Mx3Oqn4mURawxAME5GwIzg6VjGPmwWQFrzZJJb8fw9k6jno9bilzx7Bon2PbNLTLh6i1s9zApX8fumDpz/M168BGsQE73HNWYWN9lJQGo2Xe9eGXgd6H2IWx8qP9KMeFVorugI2UYwUkCf0LxFxAzBZieAw5x/7FY8VD5qfK+Ay1vOiTB4Bj/Z6aBAVqApKiTKO4w4UMu8dnGdF3TrAqU2EANA+NQpOuXLCzyTZXjVOYhdO8FAlr2SqeOIdWRaldcF6WvCaL7rWatL7ToXtx7BZoR6aH8qk5gqMNiaxX6DK91yllPdbsKf7RQcaqWR6N885YpNix9KnQMJxo+8QX3VqYaB+tPu2T5LstdVqqfCIHywAXC7PcM5hWU54evoc57ODj++wnBb1ZM3XHaVUXJ+vyJk0R15f35PgH4CH8xN8WLAsi2o70LUcCr9yXOs5wYUA76F9nhKf2B7I1qlnsoqav/QldgKlUj30x4QfoHO4g4OL3GcdPVnamOtEyXuTSAtO53i0BnhTddbkKzklHNeS3jt64WcTc6HCsidkLqH74LExA8M5ovuqim30SEtC5ra75byyEJAf19OPxJzMQ7o5LmL08U/XnAODRATG5G90zFRhFLFJOUbbAkZjio6llXZ7Tdrt+B5Vz8M8XtkexVhPyfNFVXeKR0rJSOmkMV2MCxVMpI1K2S8OwjIQVWTZp3cele/Zvl/xx3/8/8EP2b432KwH1G1/bqxe6VzAsqwqha1/Lw19IRCgVT/tn6NMfp+yll0vrg+e/Ycctst1mgBjTFp+Bzxc8DidiaIal4hlTSQeY/o2AKjRrvR0eu9ZgIUA8eO7R6V+bq+UEU1rQu8Mpphy64JHCh4xBTWIDing4e0Z65mA787g2Tb7ukh0nfPTGc4Tt98zqBbJ6N6a0hrIn6wxcGOlwxSwnhYsZ/LXXNdFr7eoygIUXFTzYFt6G1UjHUrt5PcGEvqR4O5TPVfBO+yFH35eVHJr8G7IVztHqmQAgX2RSvcxKGWa/lbRTWDhg1NBB6FnSRVSfJTyXjSTRRPg/L1xieqn2ZmSZe9/4r/n4FFKReSsWb7uaJUEoR7yO1yvL7hcnkm22gc4l+jhdid4tq4h2XKS2g4xIG/UpE3ZYskAD3U8HyJElEd6jn2QirpUMtmOpDWUPHqiKAY8VH8YXNK9DnDtQEPSQIApTbWg+tGDZzPIIohAQg3zM07/2liwf4LKtDY4twkzgMZx2TM2FlWiymBjpVhZSMb/JAxF82ZtFeDFjdSF597lbbsAGGI9wB3Acede9A4VXZCEG1pDq5KN5eDeC6iYAdwQGbq1BfmuTYEo7ora6qYelt6pH6b9/ns+knpenziEe4BQqprAfaApY/p4bL13VA66ZL9WiEd+PlYd5f26L/Oe0Rfv1BYF4IrRAXTKedi19N450nkB8PM9PN5PHwNcrpBpRO2gChSUSvAEDKEdCmKZvgZhmtzv32y1IbN/svp2GkbG3XFqRDGkdYIocESnc95rb5YATaGggQF1SEQRpkSkR9k2EjVkYUPqwdtxvTyj9Yr98laTuGXPShMuuWB9WPH68aIVCMcJ62Oi98eyadKAA1GhyMaYoKwcDlpLJqVtCuILBiuH1hjvPGofvs3HpAg6aR6oIm0XC4gCK2iHO+PkU5uspwC4z/2iVRtZeykYH8+Rraj56KfjFDu7ZTnhyy9/F1/83pd487MN7T25KFyfL9ivGdfrK7c7UNvY9fqCfd+wpAUpnbGeHhhYEvuulDx6/Rz5UjoQgIqsYeECxS2a3HHOtFUNoRlhzMnx6jXucp2dCgBR76PTeWQ5UV8jAdo5MSb7k+c7pnnNgfcjwWjEv3rvXFWmzw7VaHujZpAvmMLOm56ZdAL27Hc7bruT8bE+rBojS5sULaXjs3aOV00P6fU+zJXqQWrmNqUGi9q1xJrmvD61HkrM79gwgO7jfE103Nm53Du4PiqmZB8puIcr1E4AZ1JhVCkktFqQ0kJCQZL05f5N+4yJEJXYMx4XVfKF/f7b9wabAFQlUfq60InGktIC76OCuNaaGpdKECMNwnIBRyWPFjQFZdxoK2Cltw7HfVJ2kNI6ljRzUGtBfc1ohbjqJDDUVXG07MB2uTLVlg14W0FKJ3pIGoHG5bySBDT3LdZa0QtVRWMKapIrPZIAifEs5wUPbx6wnBce7CNbHFPQxuqyF6LOrsOLSRY9qY7K5zz32EjFFb2zpLNDWhJV8ALtWwIUMQkfNJbOlUaHwkFVlMzIIZMeeCIBeMI1ND3vPYLsl5UmpZJRWyPQqbL+TYM7SS7EFAcdgoVUEk8UI7jhYKqRMJAEAeLJSZdAmrHnSUHGWuB7FJekSQAfA2owqpqe/I7uNYA753B+IoPkr3/dcXn9gD1vPF48q/I1hBCxnBbdR2KwL+dDlJJR7RfD61aL0l0BaLWK6OC0TwHnReizek9MEHigMI0M4S3Vyy78pRYW7goQu5PeRRioIO/bQfThWNE0oJMB8U9lE5qXJDliimaRq9ivJOgD4K6oBU308wIrtFlKBHQdH/a6Xy4fsO8XrU5Nm4j6cADuWfFw9CvzsQcDrHrn3j0K2CXLTO/zN4unWqG0jm7aVugcZ/bE8QBtwsrON9bD0g4x+/7jazY4OA5LC7wsy0L+dhRLo0MdgD04r2I78hkrmAYQuHTmuOW47Fwo+7UzqwWqsq9iKqGWWi3Hr5YwPGdPVSZzDScBJZOkFQVVOeXOx0UG5+P8ZR6pZQBmW42ma810VaaTuW5A9bFFpA3aregfUBvFrbCcgJxhHsPXqzXty6c4IKn/tlB/581pMBojBed5y8hb1nWklErKzqqwWhlED9V0H0lx/vx0phafPeuYk0Dxx7gNRVaJrygWG7oArFbZKukR9AbnEutoSPKe2j+UrnlH00P2mZK0Fg3wIWJ2UomS/fx5kpqFfThTWiF2XjlTW5Uw3yTRJ0liACh5V69squB5nJ8e0UrFb//2Xye9juDx+uEV3/7mPb76imNTKZTkK6+bFb1TQmNdT3h4+AzrejJ99BQPCsCk43BQnY7oJx9yTaToulC16CDH6RzgqtO5Xh70Zqw2XBL/U6lmctwZJDnt+BobVouXdgvH9kXQNizrAT0BMj42tI6wGKAcoQkgLrXq52U7zsmlDMEgPTfQuhQjJfW3CzHlRMyT3juPkZtkrKxh9Mcxx01JBqgllc5TQs3tY5+TOq/dNFamPnth0lVXJwaJPT7HyQT5uI1rLX6qtSGEWfNhXHuPVsF6IAnb9srjfCQkbGVzMFBPnFASNtxfnFnwXdv3BputkJgJNV+PrIv3gRuMo56Icw61BYQ+JHpF3EJ9AnlRkn6isheIIXSrXZW4aitotWN73eaFCp6sQ3rHdrnyokyCLc45LHVFOHsyXcXIUIgti4BjuVnLiSqEIQXs1w0+BDhPVVXnPRZWkPXGn0wyMSFR7+X6sGJZE1rtSh0V8En7cwhv5ThokRaKUTT9omLjUTP1ENLCR8avPtDD76MnUJWo3zOGgBQCgicevlBgG6i3qvZBVZYMuu2Rcg7YijQa83EIyDkEix0diSnQAiw7utqiSHW0ZBIFevlANjkntmrpvZPVTak4PZ60CV7MvCVB0FpAft1UmUwElrx3QPBAHg+GZAdD8FjOK/UER7KbKaWoqMuyJqqKyvjlCulyXilzdtkpoeAe6FqVDd9++xse7iSUQI3UG2pNWNICBJpg8i60Iu77Xc7wPqgaLWCptAxcQ4D3EctCfUTrwwrnnQZJ8qy0UqmCaiq4dO9Gtf5WtdRmBnmBLbtKWotYlgDNWqUydyvoYf8/vv5T2VJa9V7QC9B5QoTC7L2eKmccOMg2KD4Z0jNL8+bw6pX7nPOOb7/9Nc037E1mN0uH5S+kRcvd3p/eoL0w9zKyNiEIuGkxFjsLoilxdax3uAOQ6xjVOO/cdD6ygNrK43GzlTsLGMOd907nZoMf8/luvuuoxi3HcxzLtt9U/pf3yTxoK5D4jl5QrVAejp9eN4EAxnFPgRL/GLy/+du0P/E+rcfndL4+FI2OawUYMOXc3O9k1nrHVZJ+uIbH4EuDJk6YulZHFRXQpCOBWKeHJGNS6byqkTCum1DbyIhdguAOQdC1NLx8+4Lnb57JV7NU1NrYH3KH2gsxxTawAJuAzMZ03WVNuLI6eMmFWSY/zsomQIAzhKj95nR/Gr8elIVTa2bNjqEJQZ6SDfM6wb8zWLXPDyVrA3IeAnUAtEWK7L5u+94/tZH1yYbHx3d8/EQD3jaHGBL7b1K/qDLq8o4YFzzEpIwriQH3K8WQ+3XHV998g8vlGQ/LBzw+kg+1c4ELLF5pxdt2gXPAugacThkxevReEWPkqmJGB+eCHPVjLisAz0ni6LXiFiPFa/KUdq5MBkcCQN5zsh397jzqQImXIAI9jlhP9FxvCpzG1rFdznqPeAAw8B0U68wxulYAWwMixWOTpYnpr/ZGyby7rl7oWggRsNiG1gYAPX7BB845nB5X6lUF1EtzHle3hQPZQjRKyCYT2BtMIQNTAYISYePvMscdmR2SxKOhfqc/ncG4Z5tHe4xSpbW/24qunWtzzpPtiWP8RdVNskyLkeJT9D6eZ6MVQWOWbXy4/VGefdui8+9j+wE9m5iaSalRlXjSzgelVUijN32G0LJzToHh8En02C6bqmNJhki8cRwDkFYdLQopIhR62EMIWE8nLOcF2+vGNIzR3C5B4XbZyQdszyRowUb2IRD90Ufqm4wMFk+PJ3qYjSoqQI3LMZF9Sc0FcUnaa9laQ3D0dzG1jUtQOmjgIFAqbQA9tCFBq6QEMElcxEeqVHYWivFMmVADWL42p4cTYoo4Pa5Yl6SiG9EHLGG2Ksi14LLLJDPfVwqCKKMTWI0NGBVSS0fQB8zsW4BpMSBHAkzJ3HmmQV2fL4Bj5dzQ8bplHQ8APQh5J5pwTGEkE143gGm4zhEFWZrJ1S7ntDDQXLCcVrTWEGNAKRW+WBsZBl2gaqtzRJemKhWN4/VhRc0Fb372Br39LlojH7DWiK7QQsC+08MqY6eUiv1K9jilbByAVUTjQasUMBjVNbboCaJczAJG2+uGuLD6aGcqhZf+DJP5UordXOmUbaZuOtOzFBRoUnWNEjXW6+x2P37KNEvm+SezSWDNwa9U0XtryFvGdtnUnJzePmcpu9Jkx2vyfMkCMN5vKqC948OHr/Dy/hlvv3iLzouC0G57B1Abuvcq2e7J5VgVcylIh+5TlJdtf1Xv47nWRbx1IMzVT6nuyrMkm4LITrkgfnUKYmzFUbZ71czjdqyA3t6aPlca+c22QnmPkqvZ6j4A9L33CLBs5nvkczDXxX7mU+emAM/SxHB7TQAG7hx1SsW0m/1xwXl6Dn0Qyirm/h9OQgCDQjtEd6pJBFMLBx8sZGfOewTX0fOYA5S6GryybqhCX9FaoERE8HAHQbMpWAseVZLCzjEd2KmgswteDefzlomK1kbwV0uFb7TebJcNX//ia+zXTZ+je/17ed9I0Ou6w7kV+4XAZu8kvrI+nhA+vI7vu5Ms+LFs3nsE7ckssJ6+BP4o7ttbMfPVTEsX4GUTOJ/aJDmhY8g8ByRMxGHqIfA+bqMSW1TcSOZUUfnOMsa82N4U9UZ3jlhMp4eVxB1PNOZfP7zg26+/wevrR/Y5vuK//W+fcDo9QUTeTmfqo79cPuL19QOANzidHnE+v0FKC1dM3bAKccS6kspo4hhGNDokwSPvE9Voe72W06IVf9rnqLrLfiimgbLvEifXRWyIrsUAVDLpUewDplCPCqcAzt4w9FYaW6AEW6n13DvJjJ083zfxmCz91uXgppLI4NLHMaZU7dY5XX/tfEI91TP19mbfh/l/7lGf50f7eTheT+u8T7Uw0es6rPcsJdd7j+apMtlbUAo5MPdqHo9FrFPs8ySuHN47Mw4I2+z7lQW9AhcVqG+zgyWEMdYZwVHowzJP2Hf0/T+cxfG9wea+7xClK2BQyugGVUMHq4fB1ADPBrHV2DqUhv06hHV67+obKXQBO5GRSNC46OlEQFOqCc5R8BzjgpSIOnH99orem1IcQ/BYTg/Dh4cHbkhEYV0fqOIjA102sWNJS5x8M6kPUJTMRtZMJpTTKaGeEj0o3o2+KUdZDqEJE+imBVsotZItWU6LBn0yEONCwGRZE1XxvEcKAeeUkOKY3OS6Vu1vGVtHR+0dSaW96fUUh72Cd5yl6iAfPamqTXL7VEmlwIkG7hKJ1iuTlfRu2gd1YzU1skNZsZwXnmCDTtKSACg7iQyNCvNKE6/0E3Sq+Mh1pqZ1po1yNi4veToG5wnM11xQhILM1xU86ZyfTvodX/36F3h9/YBSM9rW4N0AkA9PjwjRE9gsQ14foMpX9ASa9/2idkDSnO09ValD9JT44CDv+nLlxfBk9uUmZeU5uPVMA5kNhe2CXicaTDHAhgCneDoet3uVzk9VV34KG1EUZUEMlNDKhX3ZZoVX+gBfZ1ZApP/Zo5erBaLY2Exlkz5K+8h5wzff/Ao/339OCZzg4IQmc6AnDb9MChLu2Uj01ibQQoviXJkDoMkNNFDvsqPuSueEWoRpHxZMqnCVee3YTynbPYEe+f9e76ateCroM8ctf7eA7t732c/S7yZZZtYg3Ye5Pp8KYuxrlhXS+xBRAu8716LX0Z6nrQ7LMQFAw6hwNqbiflfCZwosTYBpj1/EdyoLkQHUe2593tR6wZnkBfdkkQgQ4JeowZEEZlQ9pDW9lHYI5oT2N6i/Ux/YYVwL+6ewKAZy0Yi7MC12v2y4vJBkf1OQWPmY2WPbE2Oq5qIKmhKkxiVhv+yjzYU1JJzDdwKfv8ybd14dBo5AUAoGco3kmtoqCFX7SCXz3voh+xlzT0VIK4IPTMtlJWx+ltUf2gfgsL/jsck9EQsx+bvQagGqmAY3PNXJU3TF09PnePr8abLtuHx4xYdv3uPjx6+xbxdUBq0PD291Ho9p4XkaFMz3jsfHd0hpwbKsSInWbCmYCCiUIEyUwe36IMduN41VHBUZWmtw1THrSz4zJ2iO18o5p4WR6W9hFvei+9iU7inFGHk+pFBkQVSMwmbsKgFm9TksxV4s63xIKMbezd5LBGI19NrgDvoELniKD9uwj7IVTZkrQ/Qa/9kEpx0bdg4a1/pwfSSRVbXnAM6NOFqryzzHCQND1tEmFOo2J2ak11ZsGMf3HY7BxPsyzm1V1YWAXpoZHxRX5rzh4eENC1vObAXZBLvFkKhQyAVB+V97oH9gjPe9weaHb38N8IFQozNnuDhjJMqLNosoE5X3JN4D84DUWtG3rtUlHcBLRO9JB1HJHt51JCRdJGMKKvoDADGuPJDiWJD2whNCQGPZ8nhKrEI6BulyWqhHjxcXGSyOA44QvVqarA/rpLBL5wflUgt3XtSx4hJxPp1JdXfPJFaUK1xybJrLypBcRY0xaiYMIGqmVA+seBA1eFMFNDLQtJXIS62TmmxtbVJ0tMcvNihkE2CDpEHrCk6yn15aglT4ZAJW/BkNYnmSJFNxp/ffx6CCD5WVYNefvSHw3aEg8/x0ho/E1QfoOnfuOY0hYI0RuVa87huiJ8C7s0pZ3osGTHIdW6Um9s4eqABNTmkdfUIlV+yXHTF1EhcKAW+/fIv9ujMgu1Ajdly0L+Ty4rhvpWHPV4gys1SOZFw79zB6nQVomsQKUcNoIdmvVCFbH1aAx2vJVRdFrYRBaBhDvMdulOEtnCWee0CHt2ZFrTMF9Gb7BMD8KYFOudZifyRWSVveUHZSQrQJMQ2uMHqG5HUF7J0EgNb1YXqd9jNo67UWPD9/g4/fPOPx3SPWB2JvwAbvtaE5oxwor8u864FeJYMLdMeBdG0IS5qQoyaGWCQIgCZYjgv8n1XJAEZPZzPXxYbuc+JkppN+KsS3gLT3WenWMVvjRpWb92sDIeqnbPb0ad4ztNUj2LUqtbYKZDd7DuSXOcSC9LNiW4KOwqBGY1CpauJOMDJ9x2CoCHAFMMRI/JyslJ+bKLe2kZzrUqnsToX2BhhsOk/1nVQSJXjznOSTsWE9jpsJENXUHDDn5m6fGX0GnIpzdO7T2q+7msHPiZ2G68umKoxyDQFoNUsSPNv2ilo+09aN3joyU/QuzxdiOTFrwTkKopU+/2PbnAWOQ7BH7oW0GwG4obcOgNp1rXMH+n7von9BoLRzUhrO37Xpaq2itlHpvgeijpsE41TN2SYAJ8n0GCKW9YyHh3f47Gdf4OHdA04PpNlxfbmi14bnb19URTmXnSzq0kIKuiBlbiuA6b3H48NbrMsZ6/qA0+PDNP+KlzqJxQS1utPkjXfaE0nHO85Jkn8aP5s3+ZH1QogCZEb8afdl5yZbwJG/SbKpiFeueXZtrKzXujZAqp/d6xjQZ7eORKYFnq6JuOaYA8YYOY6Z8bsk/Elper7/Q1CSP9duK+d2n722++ucXCMzP1nA2mXdh8qaaGFDmCQCon349HwNQKvYth3RvnnEALfXQp4PtHDzHSEk1dtwjgpCMZJffJc0qWh3lIzT6ZFoubaI6DxqH9jph2zfv7KZN6XY9Ub+gQDgu3kg5KYZ6pTQ9+TkJUuat4y0sm0Jq05QBpQrm95rRbHkguW8TPSC1jbKvDjpMYHe+FpIolhos72zVxBbhwgYXE5UzVzOi4oZ+BB1f2TSGhRoCvi0vRuepZgBqIVK7x3LmrgC4fWhjWzS65wojAkgYU9Iw2+P3I8pFVTPFAnxBgvBc6+EV9+23rv6trXW0I0oDmCFKogKYnug6oHmRIyqjsj7X6SBnaua7tALGjkDVnkwC7BdH0iVt+QyBRmiqEt2ERnXlytOj5/h9HjCw5sz1ocVj+uq33n0orO0szUmxOCxcaa6sMmxnURbqQr2p2AfVLkmikqA81nFU+TarecVD28fcLk88qJJCqKlUlVqWSiTeT69UQqDiAh1BoJoXe/d9foC50hWvTWawCoLZQEkViHqpm+/GBnV3roC73EOM5V1HPfIQtdaIT6PAAZNip9jodLW+qms9KDPThO4nNtPZItxIdo/zznSh10LjTURB5LNLtQWnOnG127bXrHvT7yQFPQeb6ooBDbfY7ts2rcsSRynC5MFUYeDN+OZAMNcoXZ+RipTQMev03sP2XfMrwk4FMEw67unIkLmvZ8KCv6sUWV7F+8BvT4lzgbYVKBn+kjr4VofhYwaBtCy32mPQbyK7XdVWDAK/T5J1Fbdl1QooOCzSmLOVDedAyydFt5aB0D/1/dasSBPVXjHNDWPBsSAsrPoTxvHWPYCMWOvl6pzDoCJ2tpZJZPmmIZwvEb8vb116kUOoyIhJvQSdHnvkFtD8EErpjI+RaEWnUBKWhPN6Yf71mvD5fmiAZdlCABz8FjyPvmHttaUPks/b0hrQkgR+ZqxX/dPVu3+sm/OUXwk8499lijWGHocUiWZA/Gm91IpsAB6y2iHhLStwoDXruO8qOCFq4r0Ocv2uG0Zaa0gRrIYyXkURqTn9OHhDZ6ePsfPfv5bOLEugtCut9cNZc+IS8L19YJ9vyDnK/b9SnEir+8OTquazpHvIQXsCxdcqOWrx4PtBot1BWZf6XXgNjE5FnndXn/phZzmuMP1DEuarkdgRVu5T9LTr1UwUZ5uZPdT2MdW25nIa+lmjGhiSftBxzHbeweQor4tnPROyZzlTNYx4pmpxwcwlY6SS7JHSXZJL/U0jsTWKQwRI5pb517OaY1hcUmYudtWiXufe04nIOocqFQ5knXHNYH+jSLRcZPnRqjNsh/ZRsvVvL7ZamOISQWDAJvkMQDfBTTuGd4OnVHynEsvtudWRl2EQEUK+yx/n+37CwS1olUdOmAZvBW9R67ScMncBKbOeTUjl3I7CaBQb95+2UfgWzvgqtIPehNfG8ryxIcVlUVnqgEEkskJJqMWUoTvHdhHhkgeIFmwTo8nrA8r1vOq1FpnHsq0JuW9AwSGST2UB4KX6mfQ3j2h2MY4jLurA3xYNNNdclFacM1DaUyopXBDFEGqEmLnIQPcZiKBEVCJymHQAKIruNRBYKwvbIAk25Q50uBJPmseLoys/wC0I8seYsByIsC4szKgbJ0Dh4VNtNczVZgfP3vE08MZwXusMQ2Roj5XF0pruOZBjb3mjFfusZGsdy1Eb7RZIslCTeqLnq5j26hyvD6e4GNWmxkAeHj7gNcPT9QHkinIy/mqgU3vHTnvOJ0e9fd9vyDGhZMe5HtoKSBKTyluCozylrWyKSIV5BVXh5KcybjZSUnGOfUZCeAcwJMCBhIJar0a2ewMfBcd7wAojov9T2GLIU4elFIdL7lgv+6Tiq/dZJGw1HP6QUSbRK5/MQtg1aSdbJfLR1xfXrGeVxU+o/2bL+MAX+YJ8Qe87d2TPpcBDETVVlQAaYwSQHSeK2Ie1H/nR9+miARZRVaaHo0gEIPgYw/jlDE3f1MQbBf7wzWd7EUOQdpxf5M35p1n5hjwCmsFIMAnVc5PVXBtldUek/3f7tueE4Fw+r4bZgLP5TyE9Odqro/0bQKjGmrHhAA+CYCbayQ44h2ApBYhzo3Aq9aOAFq397KTH5/32uqic5gJ/Meaz9oCpqKqdFpudUDFNCaPNEC7vo++ppFMWU4LLh8vfA3ofLfXDV//5peoNXOGfvgYt7aTDkOrJE5TduSclQbvnMP15YrHz56wnhbslx2Pnz0hhIDL/kpJ6x8rjdaT1yIlDco0NglAJgpeee2wmx3LZJeyIMblhiVD44UsRbSqY5gbtkAhQEDiC9rui6bY156fv8G6bgpSnSOg+Pnnv43f+f2/inc/f4eYAp7fk4BUaw3reVVrEecr9v2CUvLkQSh0QxvMxxgp8A9Jv8u5AmCZ3gduuZC2KX0m/HyNb55ZZgLem/fsm2/n67mXVj/TSKl8JHuY5dWHM4RVu5V9EgNvPHtikzVUa+cKqp0DKFERRqWRRRSpRSoBYJ2VVjTutlVJC9hLZgptcCPjJdcKI56E9+RL3MacIWudbLR2OoA9LAdgdNOcdGQI6ffx+xWUHtaq1hp67rBJAim2yXsq20GpyBnHzKSM4dFDh+vVAOGZPm6vM4xaeUqL2ulRP73XyvItKO4sdBU0iW79dJ27D5j/vNsPAJuNlWgri+zEwfW1whEGEdMJNZVNB6APxX7NCDEOxU3OZI4eD4/Swf0SDst51YVLspoxjj5O56n/zvK19eYEz2Ie5GW0nFf26CEl13RKWmGkwcyy1CkgrYsOVOn9tFmREKmPMK2UsVmXpJTW3kmcIsCrUEfvpOQqP+elInqPIrRkQ6USwFnrqBrHFOEjgTSpKkgfmFQYIgdGuVZkpdSOANC5Wa3xmAEGuEfTvHdUJwZwbR0ovH9ZChZRCINDjIEqwoGy6iUV5bM3toQ5v3lQYaYQaZxcc8Z5GVYirTXstZJxulZPOci/ENVle924clloYmLABefUHsfSuYbQlQnaOFsXnRW44kkzerz52RvkfYNznsHBic2ci47919eKx8fP+L4VXC/PeHrzuZ63j7QAbtsFIQhIzVQpaET/7a1pBX+7bDg9UmZVgvt792uAycE6oKE6KrnjOd4RA7EKhLJ05PXLdrvYGQrun0OW/se0dYyF3Uf6RxXogu1yhfSrA4fK8zEZMO2UvLsoiz6schp7b9oEwuXyjNfLBzzub9BOFaXMAXrvQEhzH07JjSv295MTN0AB0OjBHm9vTYVw5G9SQaX5iscXoHTZI8ia3mPmn3v9mhZ03lto7T7VJsR857FaeW/TZKU5lnubDabkGMbf5oV/As/ABHalrcG7gFwHDf4GoGPckyM1WHYfvIfj9eV+QARzbyTJRloEEZHoo53orzGxSX3vQKtqNdXC8PPrucMts5aC+AHawA5glhP3NAEj8Mt7QWhdWQFWKAOAWlqJbRoArnLO97u1hrQk1FPFy4cXjS0+fPUBX3/9pyrpL60NpKoqbRMJtVXs+yteXz/omp63jOvLhnzdEVLE8zfPynpqX3Hy7s+st//l3EKIRBX1QzDMOY8YA2lgRL5G+xWlsMVJq4AbzClhkZWya5AaYqIkcSP1WRHxkWDYKmvKNkDm7X0/Pl+ADfArnj9+g7xvWFmo5/d+7w/xO3/wB/jid7/A6fGEb3/zLf7tv/glPn77DXpr2rpArKOoAm507suwRTGFlH2/ssheImAdErsx0LWSpIzOCSycFaWfuY5nG8DwfuyS2TJz+p2Kpw9OY2gBmvK/VE61YGL2ZaunEifJpglUnjCcc1rlJJ/Z0VY24u35HkwJtKnXmyn5JiYXRVpqHwNaGyJDgGgDuJHM3fMNyLbfDTdAnj0PPTYP/RyJdrLejKPiEtH0x/He6+m098x+tw8e3Tm1p7FFhKOPqB2vA7A6ACSeZCnlRLsGUCof2ziHkdwhEUwbc4SQUMqG6EULRxh2jLPgp+cohGE/KAVEAOitTsf9fbbvDTbl4KyPkXO0qEj1ROQTjgGMGDQD4N4OogzmLfMgIcXRkqVqaixTAmUxyX+QAuf1vJCgAfeX0GImsssOIS0Q81SpOB5BJVUtg1Y0YyKitfSQhkT0C6KBNn2NTkRoswQ218cT0pKwMPgVmX7KilGFcy90bkuMGggdg67zw2k8kCbQyGYQEo2BVGd774hKlQUK9x1JwCLUWAoivUplO34Yj0DT9mlaAY2be8n7zqVMwhwyOIV6G1LE+Yl6X85vuArbOgpnEmMKpCzLFeO8k9JvbEQH3kqGg8NWCvZC2feaCVhul23i1rdC2a/WaFwJ6BTqtEwCC/fsAoOi0ipRMUIYRuIPS6I+2zUhLhEv71/w+NkjLs8X1A9lekBJHItUD1truLx+wOn8pNd13y9Y1zMd22XHsiyolZTxvAsqGtTq6J+Q89perjg9ngxYwF2Khvd+VuTrbWSI+fm0NFoRVBAT7/viF5+o4rRbKvJPZVNQ44nWnrl/TPo1j++d6TD3gQF64yq4KFxLZn6+/tfrC56fv8GbN19wEmdUSwEM5dna1PIhBD8Zc/fedVxoNU8TYbhRO6bzCDoS6HWMhFsDeqDEk4zKBpBHL9shSZ+ixwgoZA60FbreRzh/r8ppN1GYnexHcCssdO/n4+YctQQcA9rahrqt0GQl+Wa3T1mStEb9+PO5HCsBcgz8GgwAluM1Fc3xWYzz9h7gJNx8XjPg1MSwp6RlyYWEQkAMIu89qvG8bK0BBRp41lwpmGZQKKweCbTs9ZT5qh0osWQjQr2XIY3efTRqDWk3/X6mAmyCwFopKf3w5gEfvvqAD199wC9/+cfYtov5bNMAqtaM3qj/jvZV8fr6AQ8Pb5FWqkZtlw37dVfW0b5lrOeVkr5u+OH92DbLoPDOw/sI56oC9JioUllqoSDUB9g+z2OCzTnyC1ZE0htao0Q1WkPrDWtap95HSZB2FkmT/d0c6x3AqX/zHk9vPsfv//7fxB/+nf8Uv/8f/z5qqfj219/iX/zTf47373+N6/UVvRPQXAUkoescKW1fvQPn8xODhozrdR893p4qtFIREhpjSgm9kmusfR5CslYfbqriKdVcxnnr0zMISIFmPMMW/FnwYhPmAmKdg/aH9t7VuxwYxQwFWG5UlY8JbfHerKXptYbGFiNGtJ9z/MxIwoq+0+s+YEBtLRWlFF5IuO3NO+xb1gS8817BsGx2LOjYsH+Xz5n3Up/n+LwLpAsjmAGenolmEl36nY7my96PY556NQWcA5hiqrEfc6x8vZ2TRFsbyQNToSY87QE3Ev2y2pIdStRrSwWVqLGpJNp636dzEbGvlE5cNBzCr94HelZ/4PYDwGbjCyOD22RX2pgoBr123Iwj55zEe2Y58ZILtstG7+UB0mpDOi04P5FBbmOhl7gkrGeiGDpeCDov7EQ/pEZn6cV8ePOAyIqoIjkt9E0xipX+TM+9LSEEJBYUUqU6BaJWBcrhfFrZ29JrJTF6rwFK5sVYghKA+4Jaw3lZJhGKyS/JBDry85az7kuCJM/fE4Of6GBSdXTOobSGJfBE5EaWyjsghZlbD1BlU8zFAdPvaRQCnZmcpvvtRqZJ1FW9Zsoa1t61+kiByWyurQ3hjWgOtVYNSvI14/XjEGKxGURXG9pOYFOORUQfpJl77zsCP5wRQHfGDoVVxcpeKBmxpLEwsEjFz37ncx0P0nsJ9Umka3OpGXCOM6OBgH6nyaAoCEjUA+2gi4wEY61QH2srDflU1PaGzKO7CkodRWcAASpSsaxa6RS/rM6v1zjk7T9NoTWZZXSlqyiI/YmBTYchvhA5gJA+YAlybZbXXp8jPVLeS1iio5aMfbsgLSeQ/UDVezwymQW/+fWf4PPP/wpOrydIphugJFQ6USBdc8HGXnGR1a0B3PovNsAvRNdq3C9nEc0wJYcKBUkW3rWO5hpniaf1nb5LQRLYM+5OtfQwbxzBtZ0P7TWdPs/zGb1H5q15Hr0Bou0Iyua+m+Mx3ABf9902KnYf1h+UMFU3fZhHYDVfR3tN7DlZoKlhhycBNDvO7O6do6dZZfjh0TsbsPvB5tH3S0XFtLHUyt6UxlrLW4ETCWLNmKSAlMeN9KRzQCW2DLL2ueDhhDlhPPckYSYnZYPAED2ePn/Cx68/4uXlPSs7rwpwKD6l+TLXXcW2Wq14ff2Iy+tHAG8QY0QBqYC/+dlbSoqzD7QLHjlv2LbXm3v+o9h4bgGAXHauTjoABSkR8yi/v+p76CNzK08xKuzjfwMa65jHqNIZFeg5WLXNOTl3e6jCm4AG0/LzF1/8Lv7z/+n/Gn/rv/hbcM7h9dsXfP2Lb/Cv/ul/j5eXD6g1I/iAtJy0vYVomg0hReyXHaVQdVYSqsty0l58OXbp05Q4WGjILnigUkLdcUwhXugKGlS8h5+f4Kfr1juA2jUR7g7PPACtYtr9ENA80EtNZso5rx6VkjyRamdrbWLeHTd67U47g3McE0hVLeA4l8p5L2tC3su0ZklSSnfJ9z74oK13XSu3HcFjOu/WyBVAigny+nScAop7VxEhAYSCTeT8pUOeYqXbpJe9NjIfflcVVPGRFMX4/qpwW3fCYaG5N0UARYWG7gHUmzWSY2R7v+XZGmDTjiPb25mxLif2jnfTNZSE9w/ZfljHp3OsbpR1ciDAFfShAygoO14U4LZKdn25TpmNmisqSJ1U6C3LaSEhjsiKTyxe4KPHiZv5M2cgW2sk0NNo8nh8+4DzmwesD6seq9iJiGqt8240bTOwSEuEZ2GgmAJ658bpKL2hgf1FnVbx+PJgjVGrmZXprYl/F5n63rmqyCqy3jnqPzTgzpmsdAweicVmACgITGHYzzg/3iOD2jk3AVDvPZYYEJmXLeDXUrVsD+f04H5iErKf1cwRg1/9rBvfn5ZImS03hDLk3tRSyYx7L3j6XLKKderTpfvv1bNKxJqcox7bVilLX0vjpIXJSEU6j1qr/p+4uT4tRJMW/yJpcHfOse0N9fg6R5nJr/4tg33u7bhcnqfF+PX1g1aqaisILWE5LWhtRS2Z7ldaNfAVurj4rVKvJvD42SNl9njibRgN/CK+ov+kh5ZBplQzG2eTW6v6fyi70sz+vJOKZtTMePgpCQQt63kEuexnRt5/O/b9Mr1XF6YDOALG/Cj3TLbL9RkhCr256Gd6J3U/14H33/4KX331b7GuZ+2BA6C9HyR2UTQpp9/TRsb6HrCS94CFglohGi+p/czXQYIP/bkBzXNCohObYyy2Y7EkAHqoOGKujMD8fu96VjNnWE/NQZ+dgR5gWgfkO+9cg3vZ8gk0mt+PldKRiGs3f7fbseraD+9xzCw52rjosTgrNERDSwAneC6urZnPj+HX+6hghBBQUdn3jUagD157F8XTsndiWiBSMD+SxVnHXe+jKiSCRPZ+qp+n7aHqQGdqnPWrlmCzd4oRHax4h4Mkvyz4rIUSHp//zufA/yCsi4pSiyYTpUWgt4rquMqJhn3b8PH5G/gQUWtEKAkvH17x9PkbAMDrxwtOT2cGJPnmGf+xbKOvlVTJS9mwrg8AiAWzXzbkvE9zktBmZWu1wEv8wdXPVtkr3HkSiPLDWuH5+Zu7Pe7HgFqCZhsIWwadc2Td8Nnnv43/5f/qf4M//M/+EH/yz/4EH37zAV//6tf45ptfUpKgd6RlRUyrAk2A6NOlZJzqGft114RCV+P7aICUx7JEpd+2Rr2bKZ3Yuz2guUGjJPrsYOlZWquo5LdG8y5ZkZhzbB3d9SnZI3Ge3U9IYfam9MNuxVxEtYCL3Dc6gdRDMYjGwmwdIkrTAhb1GT/cP0qGexUSotdoLkrWvtAx9dQIk8nfBiYYNjuCXMYxDSaafJ+0ScnvOn87h167Ftpb6Yd9udEXbtcXIxRk1wlNChw2whfAPbb93BuKAVLNjihhEOBZn6Mf/+aDxlsqGAR6RknkxwNcFXeGLiv0+FoLBHFLXBjjos/lEbD/0B71HwY2Oykhqc2CCThtaRdmgjgGEgDUQFqM6+m1RiX+SqqdUnUU6ejpYnDWxy+UrVlOxJV3FZotXU4LTo8ntTSR/kuAFFJV8ICplTJoJQvlgzyEgwahKrVwCjBTCEjsMyk2Is455EIDYI1pqg7W1lBqVZA5TMdpX5Lp886h8MAIzqPUOoFAgMBi4aqpVBMF4LZOIDeYJEBgQGr3E/2wM5FAzZqWy/nYvii5l5EpYrLZcy/y4EeP2Ek900kWXCZks7+8ZX2wK1f3EIm6JZTr/bKxF2nSCUsnQJ6E+9pQ84r9ugGI07gTgSXbLE3m9o6U2XLBsiYdGzpZerLOEUqV9E2mXyU8v/9IPS9xwfX6gm175fFNC+rT0+cghVECDWld1ItzWRbkPPdK5j1jv2ZcnimbGhNV67XqoPeIhH0UjEhA16WaIBXOIQwkwFL6Ni0wvb/dBsx8wz7x/p/GJkkTUVneL/vUk3LcRp/rXI0+bnkn24bT6XESnrKN+qVk/Jt/80+51+I/wPnpDOeAfM3YLhuLciVK0LkxVwDQxRgwgOAoHGSDDo4SqBIhtCkKjFrrUKE0AL12Q/fqc+8mK6wCA0xpRcMATpsNlmO8V0GUbcyDc/b/eA+sCq7MuTcZcAxQeuyDlPlV9uU46OsGZA5l2bkaay2nNFHhScVbgOGtgJDckPl85b0WRNpjl2OwfZ8318xT4OU99dn7NgNBCoChKvByzytGK0nnCicApQUCGKqSwN1eTgGOA4QWXVPpeJqK2okwlQ32epN/syplaw3racGbNz/D5fKMUgqBEO/Rq7TqNArKys6BF82H377/Fdb1ActyQkodr9++oJaKuCY8/4rUn89PZ/RfN21T+LFtIQQSFqnisZjgXACYqfb6+qzrhLZ8mGA3hICGARTlZ2/mraldxwdNAMjcFkNSKm1gPQERKzkmXUbFzOHt2y/xR3/0X3LRYcc/+wf/DH/yr/4lfvObP8G+X1WwSOxLNGFSMkJgr21uKaFeTBo7cF77fqkFhio9j48/0++OgeZZAYm6BrC9Rno8QZwGhIE3z8dSKJAxz1VH73SdP9JspRo55oiuSXFgMBH0ulngzonE3gAXRsLzqF1xXMcERNkiUmNfW7v13oczRO8E8Jz0lhpw5wGokBn7OzPVloCRU6VaAX2zYu/MAnE832kMeHBWAKRn/fYc7RogiuM2wRVTgKphY8xD9praPlzvefw3Z+bVcX1sFXbgpxncWwcLmccpxnXo3Y8kj1yEzv2ebggqOe85IZQhhcBa+eJ3toRksTTp29Rrw1XsUn/YfPeDBILgHKtLDSELx3xfK5Or/nCMjqVqFSL5Y+7XDOcdA4idmv1Fcap3VRD1T14VTFsjQZlWSRwgLYnAhye101YblodVOeuiNktiBF6rYdLDqYFKCEoDkoxKSOMzPrIFS/CasR+gEjilIWSTGHzlUkgJrxNFNPJDUnsjrzUe6MUMsGAmQqk4eg7KRE3WZuqj9wYIOgQ36EjH3iIJoqKhnAGjSmCDLPl+7akymR4Bs5/qf1IvvT6Eh2Ii1TbPYhO2+tnd6FH0QmPgw7s8U69i2TO2yw7vnVrJiHqc3E/xSouBkxRLhPNEi7U2JiM7RF6WgYMkKwLVO7AsaRJVyQeQT4kHUh5eVsqGx+ekJtLX6wtqJS83B4fHp88oUFlO6LVhWVfKdAWPNZ5weX7Bsq40Jtgf9PX1A5Z0Qucq63KSXiMzOaLjmOGqjf51EOBEn99D59h0sSdxo08DoHtVJvvdP1Qe+y/b5pxjZWhOhJWKy+UFMHTX6Vof05wCtNgE3W6tV/L/q+80AJqo0qBEwvX6gn/5L//fuFw+4LN3v4XaKs7nJ/z8d/4K2ysFFZGQYwYYDHhSF1QLCxGuAlfNuzfPqJsWRDB1VjPjrauYw73KoAWc1mbJJtTovGdLFGfmLdms4M+xT9NhFtWRfchcBPO/gL+JeWH2aSuoehy0w+le2SrnUdH7U0kHeb/jNWRW5cXN7/I9x2fQBlp0fCPADxw41ul5H+91DlPm32sAekuLDzFMQiK2KiGBUw+e2DOO1CalOumAyXfTCv1IwFZbVUGeEANc5ep0Nkq0h74nCtD5vD1VO+X6vHv3c/zqV/+a1LWZPjeuOylva2KSP5PLjm+//TXevfu50tdfvn1Bbx3Xl1e8/+V7vP3iLbwL2PPBQ+BHso2WKBrzy3JmASDPth4B4n0u1RUrtgcAMQ77jRAoIHbcywiOX+R3oVuK5QJRmyt8p+pLZSHKe4wb5zyCD3jz9gv87T/6n+M/+bv/E7x+vOC/+X/+Pfyf/0//QCuykgCmoLqgFKA6OiYCs2V6kGgelMRsRgi0nos3aClXLFwVFX0GOWfZTStV+98D29LJvvX4LXX1MG9OAX/05v2jF7FzE7zEAaOS6aY5YUqmHUCVzN/HapZVbIXpz2yGcTfOg8dMG4Wn3jtc5WQ8x2lyTaUVKC5JwZpnDRQBcwLueqfxIJVimHmFgOAnYhIDcO31FKFIh1vWiiSrfKDkG9FbZ2Efd0jawibsJMEgR+Wcrut2HbAgtR1iatm1fU+IHj13smoplY4hSANGHGwNPtZSCpblxP2ZhLu8M/6tlm3ab4Wn5O9OLFCAibnwfbbvHRnSTaGm8RAaHwhVNGstyHlXaoJMXK1VIAwawVDOqkCli359vmA5ExVROPN2sJyfztODWXNB5KCeqK7LdPM8gw3xTZRKJflWDnVZNz2k0lztGRh5BSKSTZLgoOn1IIAowg0CWEU0J/pw84CORZICAqkMSnYJAANZh73Um8/X1hS4yvsFdOqxcnC6hIDEvYnOOSRD9xUwKIHJMcuj2XkTDAY3Vzq7AZY2QLOBoKVrAFC5Z7lHkkgQX1XXSYG19479uuP1I1FayG+VqtOicjj6F8WblRrPnXNYzgvK7uFcBtaEshcVd0hL0vssvqyW6hJS0PFzAxwkYA0OPnIWOEWsDyu+/U3A9rpiWc54ff0WL8/vsecNtcn3rmOMxgCyDCK6YkcjCX6hrmVSsV2WM4tpActpTIxHjzP6YVQ3ayXF6Na5X/OOIupQl/6LA83penwiqP4xbg608JMwikd5JY+ybXudwM7tImMWZKPgqwseB1zOeZS8Y9suprLZpvdQ4NCwba/41//6v8NXj3+Kx8e3+I//8D+nAMeoFXpWqnPMKpi+t7mjgjwA6KIPAJ0X2WGjwoCMKV6aiT/uo8/0WGD0HArrgpX9Acwg67gfe50AGwCMQECuvfXRxOG5vQmW3JzBtzRY+Ywk7Jwb1VDPf7Psj+N2BIh37V4U5BoaGYNwhxE4Wvpu78Ne5gZwOqLl6vrUZUwx2YErJK12noMdWpNgzFSLpO+MwxpS6WTbJT8nIirARvBOqyutN55Xx7mKsrY+G1JN7R371hE5ceg9JXZ7bch7na6jrQaoyq3DdNyn0yP1xVdqUyglQ9RViULG65TcF56bv/32V/De4+HhLfK+4ZtffoN3X77Dtr0i/2bH6WEFnLvx0f2xbbJ+OMf0ftNz2eroZbTvl+svKq4ibDbfN88gk10K2hhLHV0pumLDlU3PpGzek9rrl1/+Pv7oj/5L/N5f/6v48vd/jn/wf/n7+Cf/5O/jm29+QfHi+Q1iTLR2GpG1lBycG+EvKfg3gJVSrdehnFMIQdVnvfc4P7wFOoktSgWOcQwDkAbUjrgMv3WdHwUY3pmHtKIXZwBwQ4fFKIjIfkMU4M5JIIkNDkBWY6w78zUwko+9d61Yat9kkxY0eX20vgHQYoFzjjQA9Ds9if7IOQXPrUuRxBClBUq0WNygz8qxyFYPqtR81CYm8xo/eW4d03vqxj2g+N6pfsG9xKCKH5nX6VrQudbWdB+yvvY6qowCmvNOgkcCVtUmSvYr98lTkld6R6VSKtdPFHM17vbkZ1t6HnNhb6g1c5sjJbljXCF+m3YgHROzIUS29pHxJ6Jq/z8CmwAplenk7qQSRTem1jyZ/0oPEcAlYnK4Jopk45MppCy6PqxsH7Ch1oKUkvoMrg8rXfQ9q2TyclqQd6r29NYQYtRMkg8O65kC+7QkpBOViNOatMqpgAPQ7JZ9wEWJFgDWJWFNUYO9ouV0AI7EDmQQNAaQEqRI1rt6N/omzcAXkSCZ5oL3WPjzLropK19bwxLp+tbWkEJQcSAr+FOqw3lZsMQwKcvKcQFQ4AhQPygAbHnQce1mwSRlzhmAyvmAAqJ2yO7HEFixkAIRpQ80IC5BHxqZhHobzdO9E60275kSBk9RKdCtNaRTQiiWsk0ThExeMgHr+TJ9FhjeiPxR/X7ywPI6ZuISEUJQ2W0JkCizxosmJ0lEVffl/TOurxvW8wmn0yNeXz8i5019u2KMSjlrjSocvQMxrtPzcrm8oNTh8SlN4LK4D0qHea03dKXWNgWTxwze2Dr+rF5N+1kZv5+q2PwUNh+ol1uYEZmr0HkfFY8ZaB7l++8IXsABzlN/E88x1+sLCvfUqtL3ZGo+KtkfPvwGAHC5fsTT/lZ74OR9NriQQxErAgn8u+NqEfcEDyDmVLkaEMAyMrOeF0ExDG+1wUU/jZVqElS2uggMcGWvnT0/u1nwZ/dhGR+fGpvy3UfRoGO/uh7DHXBrFWm1Ang4FmvlEtzceiB/txspYXfA3TlfzD6ik+Ktu0+llWMf68/Yl4wDK8hhmSa2V4neQAsczY9A3nn+K017zYTe1loH8ggqacwOcQwLNFXcp1OyD7WS9Uqp6KGTYF8McJk8ClUs8E7llS7FeN5CCgg+Ys+bVsY6V9X6Yb4TYNUaJcp/85s/wc9+9rsIIeL917/G07tHdHS8vLzH68efIaXlxmPyx7LR8x4Mm2K2YGiNklv7fpnXBAWURq/DjaqI3q/eUBk81ppR8q7PfkfndYpo15SsKNP3xJDw+c/+Cv7gD/4W/tP/7L/Az3//S/ybf/pv8L//3/1v8cd//I+pdUVYWeGqoNe2y4SQ4D2Z2FshG4kBKCFYifrrocBY6LzeeZzPT2r7R9cJ+iwE15UtJX2RQuvU+NLfCog5h0G1tYCAYw4FoN5P4jiOwaOASIDnYzvft3kesx7R8h0KmgxwQx9tAs45hCVM64iTmCuNNreSmQnBDEY65lHFle+TddPaw/jutZ3OzkN6rQ6U4ulvOMz7nZL1dP2g9/C43ezjQI0F3Jh/DFaVVrBWq6ra6npp2DJ6L70jwSe+/sPTlQTIjvdDP+scQnQAyB7yCIqdxvwiriXJNcFgjZPiCS3XT1LSiZUq9idD7Vdw3A/Zvr8aLU8EolRGQRKfuFKQRt8mgY9GtL5c0OoY6CpcURv2y47XjxeytWDjZFIgpT61vGXESFmCmCKWFLBvmehifmR4E9ujiAmt86AeO1aWlcEsHnkxjX4+yVIBVC2NiXodYwg4JTrWcvDM8c4pgMucvUkxaobcecdelQT6BFi64CcRC/FLC36UsiXjZzepePYOdDdsS470r+A9HpZlVpHFqIRK7+c4D690Xvu63V9tNtPkGMQOReLSGgrfc+kZlcomyVh7bebmL52C4lqbehY6vg7eO00KnB7IFxUYirHH+yZ2Ktq3CDM5mYUwLQT4JAhyDqMCpAsQ/ZxiwCLgtFNF3vYR+EBjq+QC50mw6uX9My7PV5yfznh8fUtU8f2CViviw1kFj/S8PfUXpxPRS8pe8Pr6ESmdcHo40/vEN7TPvVBDsVQCJyME1Mq04H4fkDiNBTe/9lPc1vWBkwvDR3i/7kqvO16bI9C0yQGV2Oe/28+Ssfh+k12U++A6pkzl2zc/Q4wrtteNxhL7CdsqkNjq2OfOHqM8C/aYKWM9hGBqJcaGPF9U8QxwTO3qvWtVq/ZO/sICMg3Ykz7O41Cyz56tmsj1mRZxvgRihk0xyTGQOyT4Dpt93QJWSoR53NB13Zh35DNT9lsy/4fjlGO95ymqfzdUYDoO+9lZNEgUbZ0bFePv7m39NAHh7rzAAZJ81gWvCTsZB8fPSQtMTJGTaIP2NifI+vSvtYa8ZxJqKw0FhZksgapFXar5XcezMpn6GCui+BhiQt+JGWDn8+McKIGUPF+XyzN+8Yt/iTdvqCfvt66/C+8DXl8/4Juvfo2UFry+fvjkNf7LvBEQGwIzzo31kPyYK0qdWTA20HdutGrI66JTIO+RKmOtZRrnth2ruw75E62/C84Pb/F3/s7/An/0d/8ultOC89MZf++/+j/iH/3jvzeBTHtckmyVTVq96O8zy4cSejQGSiGare+iBDtiq4end8p6svMSADhRdK4YlHAGZBK8WxbdfKxDRdbOf9P8wZ9Xth3HNPFOr6bcQ/F4lM/fgkUTA4bbuE+SWoHb0o7XWAICq6arrKs6H0vv3GogvfW1qQKwAHI9X+cQkoerTtuj4B1cczdA07lhR2TviVVdn9fgMYdYsGeVtzVpavCA9OBahg/tp2mSQGi4tM8ZcNqZ0jkHF8OwWYEtvM73nEA/MZSOwNo5MEWckiTyt9aKOh303hEj2RZNSuOwY7AhxkPPJgNPeS6+7/aDKpt0AqRgBEXyYxERs97WKkrZkX1AyAnrxweE4EnYJ5BKolSJyp7x8euPUxCU81WD+vgx4vzmjJgiTo8rSq6ICaoUOyxLuCJ5sC8BqARu+zHlPaLmKX2ezjEw8h5LjAo0R/9iV8BnrU5shnwELTQgpPqo2f3WAN8UgPY+KFnTDe9URZRgKjivP5MvkNiijAx2ZgpyilHpts1kdgFo3ykA9ZYTIE303xm8HoO3UaH1Q+WRj3tvosbIi0UIaKER7573ZTOg63lFCOSv6YOfAejDimg8MZfzquq7cu3F11QmmiILFwYY13MNAaVWlDZAplSpC9/Djm58pAhEe0eV2VDJxqV3oPo6ZaWIdptQcsX6sOLl/TO21w2nxxP2y47Lc8Lzh2+Nr6zNHAcVsaqtsg9WJTrQEhUs1lwouC5VJ9NWCVCCqezzP8rsy3t6m+m0/z62e0mRH/MmADGtSW0gLs+U7ddqHoa8P32mc1Wl3QRGst2A1NaQ865N/PY6T4ATZJz+5u3PkNKKkIJ+T2CeqgLOMGd4HYNDh7FQ994JZDin1UrKLDd0XYi7ii34ID0ro3eFjnEAQWFR9N6BO32KcOzF6eaA5zhO7TUSkRx6fQDNe+8/Vh2Pwd7xM71bUbSZrupZGM4m325Bpbv5HqG9jmOfq7yV76/M8TPovP0Oa4FiK72yDlXOaqMNZVpJOtigU4InZwJhBftuTrwhHNYBd8i0e4eWK9Ft2bsazGyx4FSy/7afs3AiufeOeq3oaahQaiK79VmAiM/Rglo5NgI2YsNmE+Fy/KyhwBW01ijJfc0vCoq+/vVvEGNCKTu++urf4s2bL7Ty92PbBJxJ8hKoANsy1FaABuz7lfrERA2zNxUA6gDgvAa9UiUbMcRB4NGNGEASBsCwbPCnR5xOj/iP/qO/i9/6rb+Gx3ePePOzN/hv/q//D/yjf/Rf49tvf633bpzD+C5JUAzwbICVDwrGxCKMwIL0ooq4VGR6L+kSnE6PbPvjEVJUdoiAus5UUrFRCwdKrAIh2/IlAIBVwOV9olQr23jezFzkB8XWgjCpJGpfpJ3H9XNE3ZRHglqTiEHg6AsBDKu/MQ/QnDP2xecVg343Wkf3NhHBcVg0HpzMiKm1YlkTltOKvOdR1TyMT9oHUZZbbXpOmniX69OaxkZ2TTsCafUVBa8dnKjy8CScxH+f/EcxqMu9A917altwDR4NtfbDe0YcQN8/zl8UwOV9vY97rDYszRR8YtDWMfoSB8f07QG+6XuonXHhcSAK0H56rzyr0nIX2FvzCDh/6Pa9wWZtRM+7Xl+QUp1AAz2gfGMNZ98xB7u1qjRWAXT7lpnqV1FfqBcihIjLLspntM9lIz+jdz9/x8ASKoDhIyuEsnqT9AKOqiffSKUbUFUiBA+RYBWFMuHHLzEiBo/ghom3UESl+pjiUKAFoL2QcyYeWqm0Ppk+UObMvl/7ME3AoP6YtU69RIX7NmXSqAflrTVGLKY3U2xOSqtofQRyQp+V47fBsQhejEyRqOdiEve4ldp3uqgrED1MdjabRv+vSOuCEPwNQLRZrDUlPK4EOG2PqgDl3klIyU7IAKYArne6rnspFKQFYGfQKLSzGIMGcLlUlN5Y4XNh2wACx7VUBJ4w0TpqDQixjQRHIvrDwxuyqNguV1yvL1iWMymEwaOjYTmtGmi9fnjF+/e/Qs4bluU0+YWSOhs307ex4FOyonHPSyFwqSILzCzg/s17QfyfZ3M0U2mQACfV5ztNfz/yjRSriV1RSmFZ/dvsuv1ffhYf4iOdVse5BRmtauIAGBUAPgpdkWNIlPwD94Kz2EIIIxC36p0U6DdAjMaZxi+LqwQx+lkBjuztRvsDwIJCksSz+6dgkz5n+7j78eHEnGXV4+u3Cq1H+qxcWpl7jgqy9vvuAc171//49+DGda7mnkmSUPZtj0vm+VvwSy0L9uXuHMBU2k9VX+9t31XF7H1UOimA4liWDcfV3obfK71APpJKuKuD6joFHd6xNyfNQSN4p/8rJymoYkDq3TJ+rC+mzGU65iupkttqQq2N5lcWgBufHWBVxK60xaYOgEp0Mq/WTs6IXtB+iP0ywGbTXup9v2LbLvjmm1/i5z//A5SScbk8Y9+vWJbzn/se/WXa6D4NdXOAwaQB8zlfYem1wIgFZJt+np43oWSOOQdu0A5F8fXd25/j7buf47d/+6/hr//tv46nz9/gn/+//jn+0T/8v+P/8F/993h+/ubP7CPT4ocm1xOJQHLFlqzKPFrbb4JqaVtwjubqUnbUmvHw8GbEMNIrydZ3vXT2zfZIp4VEDP1YJ4GR4DnGQPoWP+KeaU2VOFpal6QAE4cAnPWi1Ziw1CmpdHyW6fkZMZgATTs5WeagtWS5mRcAfp/Tvmuh6wqbwQJrAU6d3+en2HMcb28HkMjXSOjY+vrhvGwvpb3Wtigx3weq0tK8VLXnVf1QDTCV+Q2N2DvjWelaeZWxDnOduodhinAvvfcEUsuoCttrPM6NQStGX6eOwza+Q+fkTgw870WvxWvSegwrZkiK0q0fTAabCPqh2/cHm7WgtUYN0yUjROLAS9O4eBcJ/1dKs9TYHbVfUjORSnukG/z6kTyLas0aZMW4ouxZPTHzlhFTUEGhyIqgjrP4y3lRw3sBtQCpo/kYFOzKZgdeqw1LigTyMD+oSpvioMD2Y8p+BHwJWLRx1TFj4EyABAxxiiH+0CeRDQFh8jkRK8pGTIkAZNCq31HhMfqAvQ7RhcpqgLa6SudYbwCvn4IrIHJGqzJtVr4fkAVnCBCdElUrdxZOouswqo/OO7hI713joCceM/xyvZLpPT1mr6ILEzCXTYWQglR4+TGoQApAM1QPe98lcOqtY13EALoisopyyQW+sheTp6wnUVxozG2XDbU0nJ7OePP5W3z4+lvy2IRH6xUhkIjA9eUKHzxeXz/i/ftfaZAkFjDSF9FqQ+HXRkafeo6kkln1XxnBgwKHDhyu6Xdt94CpjmHv4U1T+U9h8577NQNlgiuLA8lm+5A699AO0HYEmFwJYCXvSXzEmV4mago5TP6jXUHm4d4ri6cFqn4z7dE5hyY0HJ53XZjvWW8UuDswLSkGEsJxTFsE4P3IKvd+CFy6I1EZnt9Vtj2MKse9zZ6SUG1tAHsMGI5BWm0j6LgHFu3vtso6zftmnrSqsrU17IAmAu9twXtEN6issr9JyZbnbz0vJ3N/n2i49wCkDars/o7vPZ67BPT2PAFwRZo/c6cHEpDAcrTCzH+k4PoYsNkKhmytVPWWMwc69VEJQOydq5tMUUTj6v6VEmbLmlhQLuu+u0mc2mN1IE/M3gfdUXoKj4mebgKwQXMnGvvHj1/h51/+PvVwvv8lStlxOj3e3KMfy9b7fasDSbar0It9Nm/s7cy6DEuVHvNg5paDGBcsywlv3/0cf/Wv/hH+g//kb+Cz3/4cv/z//hLvf/ke/+C//r/hj//4H+Orr/4dx55zsHw89gmY2DHNr+dM908S4mJ2L5+x+xCF9lJ2ODg8PLybmBsAVGRSBK28BYAOahH1qSqRtoAZ1fB7yVtngKjs6wbMmu/QSqvpb7yZR/XjJskm18xx+5KCVSMcBpBquamq0Ys0x0X2nh7Jabk/VD2bzp+rt61S/N+a2C6N6qNrFtDKM8zVSAvODkBNmDe9HcAbzFjhyq7DnARoLOjj0Qa4NMdMV0QUZKWgwgC6834V7I5KM8xx2OORcaDr5hHYSwzOa74m2mR8GBcLidEzz1WkpEyeuHmXRDeLczWH2qyt5GCBOOe1UPZDth8ENuVfyTs8C1g45xgYZqS0Ylk6UlqpApgWDpx5EePsAe2vKfjby46em07mJI4x+gjOT2eUPROdUXjeDkTXYT/OED319TnHMuv099G/BFhqgmwyiFMMWFO6CxD14rE3pgWX02J7DCx4s32SrTXE4NH63A8p1VFdyPsIRqbBZI7Je49cC/ZSscY49RmVOtRshfrF1Xk4RxVBpc+awERAXmlVRYnkPB33auqYaOLpeVud8c5hYbVdESjKJitpr2X0fvIddY4moWn8tY5rzmi945zSRGcDhueobFasA90mCebr53vnwHWIcOjYcA5drmcjBTIZl1Kdz1tWe4DmGqKXzCNVCvKWseQFD28fOKlCtMvO2f1WSHSjlMxG15tmWAFgl+omT0RlL9oHVVh8SLLStZBBtSSGWp/7OL/L4uRTm06MvQNS8dI+0DYv7D/yLaWVkluOZOH3y64gUWmukGf2QN/TBea2qknzwm0w1XtDYeG1I0iS/UQjZEGfoUy7kzHZRp+bbyxmEXih5WqX9AzJ3OwaZzg7fS6wZYEszLLguXhgdLDY0Dh+roryMUdJxpk51QJ0YK6OSKLvWJWkZ3q857sqffZvNuBoZk6QzQJNO58ROwLaiy5X33HSjC1IJ4bHqHSOsSG0/OMm87Sdz+Rt90SMjoDzCConsMtJSjlnuR/D5mHuE9NRfNi/frcJCO165NwQHJKAk6hf5UbdsbWmVihCk621IhpfZFkDRJ9hOSWgd+S9aLDpCtADjfftdaNeeCfUNbLUgvPwXp6dYaehvciHc+2tcTXzI7btFd57vLxQr+a7tz+/uXc/hk3Wm1ryFPeIdYgkMh2LmaHTuu8YnFMKcw6kVU22d02sxhARzk94eHiH3/0rfwO/+1f/Q/zeH/4eQvT4d//Dn+L9r7/FH/8P/x3+yT/5+3h+/uYmESLH9ankFTD3gA72XeCiR1LgJuP/nh+8c16r3qfzE5ZlwbZtWkAJcdh+eKbVir+7Hif3ORM4HM+MbAPb3QJGO0WI1Yn8PaSgIl+2YqrzVbv/3N4DmrDPfRcV1UjrgVB7j6RWz8q3rU/0ewGPvRNzwVrJTeeCAdR98Crm4xymzwFD2FGEP3snGziyy6usrP2p8yTpSll+bZV+Gj/OQYq6dB0M0APNEySg1zWBJuspvTYSZiR+OuY/Oma+Ds4Bpep4q6XqXGuFrIbOiDuGCoR5vEfzTUWTnHMIPqKH8cyJSKSCbxemhLVlcrQmPZuzmN2/j+17g03Jsnem5pWatZppswzBR6S4wIeoA1WpD4L6YCoknG0k82Ca1HPesa4POJ8f8fDuEWmJBE5BNMfAlicxRST2RIwp6sIF9qORB12+Wh6O1uhmefbTHLTUUXGTQAe4IxDBi6v8Lp6b9wR25OeGIRzR+gB4Qk8F9PlGw/CCc270dnZHtCjrE9c7AcuV+xeDdwoCZbPBT+sdtRSUVokmhvlhFUAmAU1hb7LAk4MD9WLuhRr9pboQhOZQCdRGtl4plfoFpd9SJjVR3qVqrB/VAa6WynHIedB5deRaJhqt7E97kw6VOwlmxat0nONs/9KFBM+04DFpjQydBMWWxhJiQNkyB0H03XnLSL3Dhwfslx01F5TTgvKwYt8yrq8XBgUZlYUXLpdnXK/UMyRJHefcEBNKTasRojRbaiF1v0LPYzXCQPQ6P7PHCfZ7bB2dEAoGiGqtoYcftt+/TNuynMlqiavNrx9fdW6zSSFJwMnW+3geLVg8JpJkHrTPI42TQvNSiDf30QZ55FdGGdLGC7f0cFLgT5XxkIz/lgdXFDGqYa2je8CJUi1PTK1WWtg6ZXE1uKH2QIQwz329du79hPoAz+c2wJj8DMzzqDfX5zhPKag6XMfj++w2FuDbhfVToNUyMgRUejcHYs5RT+cMAgd4LhKcYLBXpvvYDf2V5xnH8709r3uWKzZglHM+Jiqn16WqKVZkE8idx54d071zAMoB5WQ27zCAq1jvBPLJ7qVQ4NVMYDy+BM75SaVWzqMWZg+8bppsPj+dSZTruqPkCmSq6JfdsjgaeveUHMCouIlgGkD0SucDehs+wwTIqaK1ba/48PFrbNuFjqVWLOvp7vj4y761RgyNnUVF5J7HuKCUjJyv2K4vyGXHsTpsmS1H8R3nHNJCdmDv3n2Jd29/ji++/D38zn/4O/js55/hq3/3Ff70X/4p3v/mK/zqV/8av/jFv8JvfvMnJKhnYkr7//HnYxJuSngP/x1QJTMihDT13pLXJ8d5nhhFIUQF3ufzm5vvEJADEDhYH1a18wAwVcPo+vYJCFLFcz5++VkBq8TH5hnzplJ6H6S6qTJ2tz9Tg5mRjAKk0uhHH2Y4VNicfdadArDeyTeV2CxkPyfrgxyPc7Noj7TB6bm7UZ0UTQDHSUa5HpJ8qrXpPoaJEcbkzP/LWibtQ3eTFPJ+N2ZyC8J7a9ivu95nnSv70PYgcEe9o7WMvmf7fbqWxcD9oVCv4wZeZ818fa+/vpPPE1mbNbEYolM4enl3iDtImlXG5e+Gikztin4eL+Ya/JDte4PN1sj/qLYCkeMnxbGooNF7Euxx3HAqD32teQKalZupSxlZqJRWbNsrTVBpIWrukthn02ZFu/ZmhhT0xnkT6NgHUDJKYlcgxs5hiUqz9d5TL6Abv1uAqQ+7BANOqAH8nkP2x8rUC7CSjfYDwHtWqx00iZ0rc8l7ZAh4dwjOI5veSNn3JeepgrmEgGQCUtv7RBXGcQzSywiTBdfsGMZ75ZoSPawjSs+Cl55WAru9OxZMGgJBQovVMcTgVSizC6v3AkJBn4WWPH+39IVSgNnxsm0oLOAkgalm5phKSwCWBYAkwDCJh+j8dD0TB6/gSoAA3uC9Cg/ZinX0HsvTA/ZSsItogFEsrpFUagFgua7YLqQUupwWvHz8oHLvISRcLh/x/v0v9TkioEjWP3nb4bzHipVA5i4VzB2lbEyhJQ+0nK+mskkgf1Q1vz8opCDCKTUKuB3zP4VNRMgaZ1YvL6/f+X6bST0GYQA/h1LFNtf1SE2mZ0CU8+akTa2V/VKrinyELip1DnBCwa6TAp8kquRn9P+RvT+Ptq3L7sKw31xr733ufe3XVaNSUxJqAoYAkm2MaMVAJiGhs8FxDAMkQGDCYAQzwDixQyyCTAbEBAidYYQgjIQJYNEmILAxIAUnYBmEkEAgVFWSqq/6mtfce87ee62VP2az5lpn3/ve+977vqp635lj3HHvPWc3a6+991zzN5vfZKDKdOv1e9LvGSVZ+yk/NmQ2oPQ4em3XLVaeuMY7w3Rf/d3Xb6ru0+W1f657oja/3xbAbAw92kpRbSMNbIeROSXlU3ZmbX7nzi3Hb+opN66jti3Zfmd95NXvu0WS1Bgx7nt2Ykgqa1dT6ff3WS9WThEDQt4eGxHXszGBDzNtHi4OwNK1pBIDz78bWdZmjbbreVNKuHywRxgCdmcTbr14C/c+fQ+HiwPymrlcYVmZwIbI6eEABCBkIOfagiHGAcM4IeWEZTmY804df+syYxlmfOITH8Q0nQsRzGq9b583UUJHZZANFFGQJT2fiR+VcdsDc74/raGrpVTjOOHGjbt4+aXPw507r+C9X/I+aQsy4uMf+ji+9+9/Fz76sR+U9mBcJ6ss3L2R/jhGr3/Wq73WphjqNvpMG6ANwcCJHusw73F2dhPn57ewLEtjV1r/ySLkk5KVxg6VAm0RxUQwpSGcue66+s9tPwWZBgbQRCW3HG1H/Tx9KWhoHZqaqhsCNfWjPcDkZyW3usCdt+9dqWNVwGvkPhoBFRZ/PkYdS04cNWd+hEoCWVaZm3AMgj0vAYhQUnU6bM13KaXWu0qUtuRiQNWAY8ou+6PeExvTRjlCXisZYBG84p9pu08BCAjACNBa7djclx/IfhSViKmgxIKyKrCNCKEyPqMwUdA4ntXuIb5tZWAGeU3xHSQrsj1fTat9s/LUNZvK4MU57cA4nh0tUPpb63U031+3Ww8Lo3xJEVRUHULAwwevY7e7gVIKhjEaKI1CzBElNXbajfUlD6Gp1VQJBibrZ0yrLvVOLn3zfJqaBts1qkjipZFjsjnYGCA94NFj96yFSjDE6ViORIfIIp8M9Go0zwCwbJ/BL/yaM/bLwmC1FJxNE8YO3BWxlBSwReK0UPZQc6pIKgVUahQhdYuHKS8HRH2tZiAmJUqq5EGIBKylYByGhrhjJ+BysHpQGSeUwKOmM3ijVdPdNA0t5YyLWfqwjuPmQ231tCADssbm64CStqTRfoCh1Pn3kQaukU0IUQEBf3Y2jhhjxJI42qUKdJ2ZPXaVfrDnt28AAA4XB5yf38Tl5UMmnjhc4t79VzHPe4zjDoOvW80F8+WM6ZwJYNLCUc9lnbEsFWjqD4ONBWldWFHCpTM9Qa3mlpgHsrD3P+WVwexGjezzKtqjbZ1XrEvCYf+Qv/CuYxFbgB4BOLn1kOrBIHN8PKeaHhZ5QzkOxMEwM5nFuiAKWRpvJpkUa0aKnFq4AsZO69t3qkeaaevVWK/M1ZpO2yi+HokBwkZ4HGHsjSL/eQ8CvXOv/1z36UGm18H6v3cmbUVIU85WF+/1tT+eH0LvYKnEYy3QUyI13acaPazjNRuEnX6iV3XdoOPMlP5azfBz1+pTZ7e29eCgFE7/Mo98quyVpaulNKMyF2hHaOrmGgAzpCPXqGYIKLEYV0NaViwHBaAdqVRmA29duOG7DJivUca2LivynttGDdOAG7dvIC0JDx8+wDIvWJbFCF1ySUASUqQMY03WOWCyG41CsM40llxp86G9bj/v874UUdp/7C8fHM3v8yJHAA9B7n22jJneIcF9K6NkuE3YTee4cfMubt16EXfuvIw7L93FC+9+QRjWC77/u/8JPvGJD+Hhwzesb6em6PZR0aukL0/Y0gV2HUQWAKkptNkRQ2l0yLMZa1r3Ivo+YF0y4jAK+SQfD/o8hRawUKRGL5ZSOMMDVX8oUA0BBoiPgJADnDyuGrksBZYa398/vfa6f50LHZceR+dOO0U091/1UqnEQ3zPg7v/NVNQj5nXlveiFBIwy/wCDCazrVFRQB6JjYaMmk1WivXttO3HaFkMZt9TQE4VDKObCz+nfuy2Pdi2ykr4CFh7FmvZlLOl/toxNdqZ2msmgqXaohRzfmkv+To2VH05BFCqwTF7pjxBkVwPB9YE7zRlEJJ1QNQ4T/Qe8v4BRDV7pu+l+TiOnceVNw8214VT9FyfpLb1SU3J4cigIwuQ9Fs+Doemz2/fcA9cJRrJJePe/Vdx5/ZLSGvG/uEeFAN25zuc377BKQtnIyA000GZV3PtgaNiIFOZZ4XxVEl0AFi9YHQvdSlo2FoVoLB3ulVwvk6nr/nzTb2DHCOV0kQ01SjKDTg6vuEaLQwAlpJxKWALcpxIx5HEVApKTgaok/e+5NoSJRUGv4vm1Df2ZOfZEsOKow5Mfx6IIywxEKZhwLzWFMLdOBrIGyVtls/BSpPTb6MBYhD3kIPWVsi5VlkYPCnI5bJgzRnn09QQeRQctxGI7qL8/Ba00VQiThNT4L2mbGy9MYZm+3ld7R5Pw4BVjXsxnpYDK9PdjR3WZcW8n7G7scPZgaP1Ka34xCd+CBcXbxhZ0DieNY2jmZmR2RmXw2wRTIteWl/NXAGnpIZZCuWbqNXshR0JEupCTVd6lsrps12M6j8XLIcFh/nSvuuNBf1d01y3GWv9dipXAXgDnI5sYZkPmOdLzPOemRbleRym0Wo/lNkz5wBoNGuQFKgQrAenESCoHi9CUS/Xl1PGVt17vQ4ALvpfSo2I+uvVvr5EhNEWwf5Yx7WYvVOvNzL7/zVFvo+aVudf1Rl9Sq4Huy3w0+PU/69lhxUwqsf3daJbdZf9s+Cvpc9UsbVjw0j386N/s+MP1vYBQNOCxM9j8wzr/0kiACnbOsnEHuKA01Q81+x8kL7VGkFd5hVRvP0giW5mjh5ACK7UGLfz55qmNh/YwXN24ww3797Esp9x+YAdLvoepJSs/UKIbFOEwuQYev2lHOwaYxiw4OBS5Dg7BIXZZ6fpHPv9g4YM7HkUTSct4P65gEY9F1n/BsQQEYcR03SOW7dexIsvvgd3774LN+/eRMkZd951F2c3zrC/2OONT7yOj/zAR/Dxj38Qr736Mbz62scE6Fd7p9aW4eg5PBofhebvhuypsW2SRKtni+yM44QYBvtegac5TtT2CTUCfn5+y4z/EGpfS09ooz2XWyKZeAQSgBrlsihZPI68mn4tpd3egUGSyObWtbcRyy74E8JRiu/W+n3keKDtfUJ3vOKiZWqLW1qu/M8O+UpMYzWKuYJgP47iCIQAYNqNQC6WFamRX0vLLdo+pPX/bl0DH5+dXBrF9M+hT+3PuQCZM5o0DbgeqzprgZo23QPvpk+tJ0LqxmaAXiO4xgPhHQGtc5GgzxIHcWptOveRbfpsekeI3evjkrqnte3efM2mGLKcD7xyPjy5B11uijF8oSXJWObV0muWuWBaVkuhIoqiALi/UUoPcXF5HyklzPsZZ7fOuZfhbsQozLTag0sZsFC4X6YZReKticJeGiJHCRVo6qKvKbSD6zOjhD5AGxFrJlLIb5AZjJh3wb2o+t4Qam0g0IJQFU/kAFTPfEu5T5jXjHlNQroTMISIG9OESaKIapRohNGiG73h5tJF4dJmSymQUquGkao3XPj66gPM5B/ZeVDk+omjxrrfVJjoR6+xXltt9UJUr1/nRL+LoZL5rCnhUthzNS3XrjO0BruCVE6Pbdkidbxq4aihWxzAh3gz4QzplGp6r6UDS7/QUor15VzuXTTMcOM0cguV5YD9/gFiGIwEhudvMACunsNSOMq5StTSPHLKQps0lVLTJJ8+fRbYXvz9It97xp5nOTu/ZQD+cHFwc+1ZLdU4b5lot+exglEfAdOaoq00lrqISOr9csB+/xDn57e416aQtsGeNyBPA6f+htrWpHGYiTGfoTVMJB5ZNjopF6vh4XFVtj/Qdn1K/392gDt6R6QDUApSrzoG4Bi88ehU2cYALW2t41XRQgDN++zFA0tNl4VrRK/7+u313FoWkNzcXwUSqVADOHtd5Vls2/FtR3hUr3BrJOYraMBtVf5NbZUeU41FNc58DRrrNUcoIkYtsydGrKWIcZaMUCVJzfOg7XcK7LfxaeUKNNcliXOODdX9wz0u3rjArRdv4e677mJdE5ZPHKS+8OB00ipGeduTUfVkKUXICCu/hJYdDHG0d/PWrRewLHs8r6IZaAU1os2pdaxLdrsbuHPnZUzTOe7ceRkvv/z5OLtxjpt3bmA63+HBa/cxjAPm/QE//P0fxP17r+KNe5/E/fuvWa0nACNTC439E65dQ64zeD3g9DrDIkoumq36VXVx4xyU8gMGewPWlTlDzs5u8bYhSFq3AAkFoJOwr7r02C3AZNe8ASya63H1maAafYxDbXVHLsK5yV5LGvlCZTJ16aK6TQ0iuHGrrehS501X5SzthsjIaTDAwF29PkgtdKljcGPVoJNnAg4UZLvWzq7QQoNbDCzHswmYF87Y8a1QtCQjRo7sxVorqs+1j8auM3NteOZs36O0XytKFqbxNTNJlKRfNw673Opm76zzEVCbi3QcnVcd6rtnNHoa7T1TsR6r7r4ZQIV3bADMJJ3NXuCWQBz0U7v/MwY2VUH7InuNvgDi/SVeeNLKOe4xDkApWErB4XKP3fkZL1alYD4s3JfnQNI8ebGcY/a4R+wvLnHj9g2c3zrHTlIJ9cWPQ2SjfawNZQ3oyEsaQuCHQsAep82GBnQqOZCCwZQzduNof6NUIhmgLr5m2LjzKrmPpsMCrMg1MkbE37UtUtq+aHqOXizFNmdMQ2VynRwRDxFHL4cQDHgFqn1ClYkWgNUL9ey5klFr/Tm3pKAaWDoXMQSsq6bWcsprlmNa+jABuXAardZR2vXqvPh0sMwe9JT5xaypbm3U4yC1qwq2eV6PAbaOzTPULrn2ATSHgABL7WlqqXLy/artYWLdb80t4CDi1jt5iBinAZf3PUDLuLh4gMvLB7hx4w4ePnwDkHojoohpYuItPZZ6yQ6HakgpEZDvx+gp5usz9DRgs0ophZlGu8/fSa1PxnGSe5Fw+eDyyJBRabM9WIe0XsTrQY/3+vff8cLPEW2t733w4DXcvHEX47i3xUPZGINELnMuwpo8WCsdA4Li0aWi9UwRFP1CCSNcQ6OjZP+crSF2KTBwWr3HnCYaIjWA8ihNVvSQN9D8PPnZuApoEpEjGGt1bD/3W+IdkX5cCjT7ey6xuc16z6ukbxfVzME1IHjrev15+2vzz1vOrddePfaAGLlpY+xKDCWtRpRVM62pmQdlYEQqCJPqrXqYOEQjEYninFiXFfNhgfblUyexjpcCgOwce2uSKMSKdV5w+WCPB6/dx9133cWdl++g5IKLy3tY11mAhjpluHZ5XRfW+WKI5qJ6lPVnQTFd6udvWQ64ffsl3Lv3KatbfN5EAwjch3LAEAfcvPUCXnzx3WzYA/jC5Stw4/YNnN08w3KYcXHvEp/6yCct5fjhw9dx//6rnB57uBTyOmHFBFkGWh9h8c+h6sutZ/66daZ/7nNehVtklXMORlhZ5DwhTKxfAzHITmx4D8OIZdnj1q2XsTs/45Y8wkJbCizaFYeIYeAIpkdIqgv5ekoT/bvqXfaAUD5oAaADjURtlLN3yPnfPWDw7LVGiEnUprKh3iMizlhjUhs5V3JZB8taPx94+zjVMiAADWBSQK82idrpluE4RGNEB4CjyHApWJeWsXucBvje46bbSLNTiqy/gK5Xy7xaWyWNsioYLA6s9SmtZouJw9n3FO3vJ8A1vGk9dujpmqrOuuTnV+9BZEdb1Gh6Ke7+Sd3wwno3hMhOzIawjp044zgaZ04gDgiRAE0+VnbPAzXHeFp5KrCpN4IHWQ0DvjlByC4SElUWqBgHRCKs64wpTbIv50if3TzDMi4IpbiIzYpx3OH2nZdxcfEGbh9uc81Fao21YWKKZmXRqoXL0npC+2oK0NRU2SFETAN7pBR06vUAHLGsXh/HVlo0zSE04HAIwVJkffRSH2wDogZIFYBVT0PqXxSRBgSiYJaHchdH7AZY+mxBaTxF9qK7VNSaxiWAODAJxQoAGRJFLXYtvWL0acUa6KgtVVrjeYixichafnip3/eesyQR4nGoEb6YM5MP0XHPOH0OUDg6tOaE+/uE82myliu+Jtb3RNUXfpVz6jU0ilmAfBJ6d55PwpqKGbEaXVWgyUY9L1y+ZxICSZSd78f9V+/j4cM3EELA+flt3Lv3aayF+yGVkjBNt6xOSBn1uC7pYEDD6k5Ktn6aWk+drzFmn1SOvMDK9OgMhHeKqHdwXRMuHzy8cjvzBOvCohHikkHOidM7l/S9s0b01wgfm5+PB/dfwwt33801MQI0AUhkAljmwZxyFTyIpzcHaWZdANTsisJWmaTO1tpNb8woCG3HJBktUvMC5/iDgXIygwBQMjBCp3IaQNw+g1cDMg8svf7ber+3jsXftVFE1V+BatSizVThz4bOII6BU/H1c2PBBlp9tDGOR726fX9k76TQ4+kaVgpnyOSUDXS218s6Ma3ZnlsoaYY4Iti4qoR8VtcpjMU5VwPWn4DvPbdsSClJtJy3XecFy5IQhyBZIG79cz32StaSAHa6zQdmSJ3nAx48eAN3X3wZt1+6jXe95/Px4Q//C7yGj4mOr/wSanypqK5UJ13O3GbI9JoYxJeXD/Cud30hYhwZyD6HMk1nuHv3Xbh960Wc37iN85s3cOvFW7j14i0AbKu99vHXcO/T9/ChH/gXeOONT+Ly8r6tR55cqc/iUKbLrXf2Uc6WbdC5/b7442lJSUoJ83yJs7Mb7LwlAgpEn8kaKc9xSlwmM447rOuC3e5c3inmCykpI1F1slifzDpwNugFXCo48YDPQIgQ8bQRxeNr5v3budFz+ve9AZgB3f7+PSoWZSRCk8brx6LvYUrJ9IDPhuDt6zlyLoCAxJjru6x9xwFwdsLKrYniGM0G8+nGNTLKEUO4edx6HlQvAdylwgjPcm4cAHxsvlZuVZeQ1rXaa6rHXLquAmIdm55He633oHPLyQfStjcb+l0AMpX2udVrXAXIpzUjjtHStUvh1Gp1AFAMVreJwiBS7WcAVh/PzyVnKdX2QOq8Xm2Nto4ewFMDz6frs6lMtDmhCKDUQWuUs+SMhFUM55o6ta5L86DqizTu2BN6uNwb4cj5+S0MA0cRHrzxAGe3zkEE7G7sKgiM9QY0YX+f0kq8KO/GAVGUnhLTjLH2j9RxaSRziFEYVktDHOEfdgYbGqImRyjReYmc0dJHR83gc/tphJKJf2q09SD9iIJEZwetcywZkTr2XBQc1gW7YTQmV5UxDq4fZQtsSykSmUVz7QzIqmGl0Vk+XjSWWf2p1wyrT00bCsPn9yuR0DTWiJ72wRzk3mgkVkmbUvOC8++Hl3schojzacIozwKCq6Ut1Qum4/bgUetniciApicO6YGptntRQy0tSbzv/K6ocgshYJlXXNy/xLrMkjbLbLS73Q1cXLwBookj19OZOG6kdjMXzPuZe2kmrdPMtqjmImmQlnmwGhh9K+QqD+07QUrhBvR7qR3zQBGoRirQGkYKzvqFU0GoKEUQhZZZ7xGSc8L+8BAPL94wsMmOihXDsAMAjMuEda4tT3LmdEiIwaLAQRf+TBlAQKQKPJmGvkZCLTVLnCoW3QzqEa71z7UfZ5e23ol3Sl2VDnuVbKW9NvMkIG/r3PYu0zErrvYE7fM8GsMLNcJ4tD8qN4C1HumyDXKp6wHZcwBLC7vqevkutRFXM1xKZfPOpVRnrUuBhTMugS3A68o6zOkq32UujSEiDGM0o4jXaLPr69xKSQs/Z5GN5hiAnDDvF2t5sC5rEw0BJBUuFyPwWA4z5vlgYGf/0Yd4/dPnuPPiy3jppc/D669/AhcX98wg5HuhnBJzTSm2rJDF9GXvWFuWPTsepzPMrkb7eZIXXngPvuTHfCkA4NaL3Opj/3CPtHAGxw/9ix/Ehz70T3A4XBqwVNuuraMkaM6UPY+ZiVX6OnS1lXKuuq93UtS/t+vJ1LF1nEpbW0hVkDDYdurAXdfVWmmktCKOO5yd3eQ0anPc0SYoi+PA+lBtAWcTbEXkrgKaIVaiRDkB/1JQqNHMQLX+EVfoz+Dmzq89qLWRNobuXgAwna69Iy1dVjIcfE0jUFNwFZ8UsYNKmTHuprqedNkQpXN4NYBTvj+6tu66QwgolK0FiUZEQwwYB7ajNGKoAEptMn9fTPc50KmMuF4v6r1SpljdN68ZmdLmM8LPPge/FgGzfLw2w6Q62AogAYmiab1I5qSLruUekxUxoR87PqIFlLzTwNsZbG+rA6hIVopmI8ajZ+dp5Sn6bM4VaKLIgtiCK17YEiI6hq1ShCkuWz1bKVzkuzufmOpYQFIMETdvvsCRLekTc++Tb2Dajbj1IjM7ZSFLCZGaYt3omPCCALIhcnQzBG63oQDT1wg+injCGyNAjSj2qVq6TesBIjO6+uP57xXgaKTN99g8COEO2Tkd6AGDoryyoTMOA5I9u52HmchajyiAMpKMDCBkS5/VMfYNxfU7TUVdxXhKTsGmkpEkv70E7qfpnxG9To601FTUI4Ui0dNFX3YZph+XKj4QLJq6rgkP0h7nuwlDDCglNtfvjULdR8FuAwKcNLVlcn81FZj7wbGxsswMLtd5wbokJpK5OHA0842HSGvCtNvhME/i/Yt48cX34PLyvpEETdM5uAF5lugmYdkfKjGXeKPUi8yAMxmQtujEM5D+/dZ/t96T513iMKJIA3mtP2K9xaIOG1u4+h/UNGTeLpne88eRA2+Gt/p5Zz264OLhPYwj9wGMIWLandtCshwmY+BWB0+SxSu5KKd6d9GlBuWcERFtOMooyKQMArPVsBflo3q5ryvykU0FS/bObaR8b4HzLaNTHVGeodXr5K2588ftCcTMGKTqCLPUVZdm5nV7pHaR9ucyB5UYf6yXYHrUrz3qnGt0UXdsXR+uSqH1og40jQ4qCFOiHz8X+nkpBaT1k26tL4XTsQ8XlWBnnRfMhwXDOHB64TQYq7YeV9sGqeFk8xIIORCWw2yG4/ltZqPXVhJen3F9VWWeBRgoPHz4Bl597WPY7x/izp2XMY47PHz4enW6OZCfkqbPJgOavdi1CfO3lTs8h8LOy4IHr93HJz/8KewvHmJd2ZHw8OHr+OhHfxBvvPHJZh9+HrZbi/RCFICSmvfWPofWyh07Yeo21zs4FXB6XascBkScCjpNZxy9zwxEuddgQlr5GSo5I8aI3e4GUloxTedigw727AMwAqwQhEWVFVgzD43t10Qw/dxtA8dqy0bO3HNp5kf1j71uzGgim42eDHX8Xrw+Vaejtsfq02tJCDOO7+Pxfc85I2SyaGMPYvrbaQQ/ITApUNHPObDgo59GRNQ9e1mCHcrlMkkgK6WMZc/9yLltWbZ7FkKwNdDGno4BKYNH55QTEK3O2iCZa34/L3GIWBfRQ7nq33oOmRMBmuqw5QsQnSxlg0ZKpc9RDAgFSETYeIUQqAbgTI/mLKUDK3IehRQs2Dt93fv2uPKmweZ8uHTMilWxxFh7tKjyD6Q1itXI0ijMRJMtdst+wdnNMwwTYTrbcZTnLGA3MQvcOI6I44C0rHh47wK3X5qxO98h54Jl5uL/cRpBBPY0OZKfMUaLaBoJkLCybhVWexAEwKKbXhj8UcMYq7WfCv58j6KrFDEbMWaX2We6bSk1qnjhemn6Y3iAy++ALI4pYRwGrjUsbW1jZZGtxlEhNk7nFRiFEMAD8H58uUBL7S1yqemxfTRCDbUZsAjp0XwSmZLR/VTWXFkjvQEWEZBRgapFHgtqs9yc8eDiEjFGA51KTFJQmqhoygXaHkVtfL0U3xNPz2O/U40w8tgh6WiJ6wIOC/YP9ww0X2fa/CA9OXe7GzzX64xbt17ErVsvIKVkCxwbRNrTFrZ4Vva+Igb+Ks2Ok2tH8mzanej94PNVhsLGI/iOAZxkPX8vH1xuAkFA5gbHDer5CP79qP0ue8klX3l8YBtwamSzlIwhjljTimk6Q87SR2uItsAmIWcDqke3ems3rkcioSWys49K1UX8fLZ6Igw1fcrPgy7KGTXKqIATRPXcJA4km4/SgtIO/HjA2ezjjDltc+LnvPf+9nPc73/dfbjqPTh2oNW6UlARgLqRPdMdzrPPqtT2U7WsQ9ch3ScXbhui3nK9nwCOPPhb49avWC8WzPsDRyJdpLEkTm3NE7PHj+uINCbpg328hsDNP1y0JmfZfzexniycGseOPLAxuSSs6ypgk0Eit4HiXo2f/vRHQER45eXPx9nZTbz22sdwOFzIs1rfOZ9C2z8DHrRwff193Lp5F6/Gq3kMPpfljTc+iR/4J9+Hi4v7KDmZ7hiHCYfDhaUPt/dyu4byqCXJBqgyAGlEJMdr/9OKMrMrF0gIEeMwAYcLLGUGgvbGjJbloeR+07rDdDbVdT1llOBtu2rjedSkAQN/vea08iU1VNNteT+pvVMyS1dPGSyAQgY0r3pfPftsD0j9Z/1++lsdSfpe9tuUUlPr7ZzufwDCgF7LTRpSnO5cHsAhoKb5InbRzWIptSFwRkdaE89lV2/eOMWUHEhTYddk/TO9DqJAQKplUOp0s7M755zePy0TVICelhVppSbd9ej+EINvv2boZg3od6nD6jDh+ZTIrNrLRIhD5Fq4UKTeuDqP9Zp13pWNWY+nKcMprZWJustWeBp502DzMO+tryVLkKJybl3BYHKPaYI1QY4hImcIe+0gSusGkDlHvshCcnbrHDfv3MQbrzGbonkdhohxN2J3Y4cYIx688QDnt86QzyeObupFjQMi6sIYh1Bbm8Roaac2cgMSbeQuEjXOnGng9FFtqxEIlo6rxkiQmk2gvUHkjpVRayU9QPSLrDcmFPAtXfTRgLQonMWMDT4eRxgzyrIgx4gxxqbuszdSNbrIYC6YY8DXrfo88lLqXCjAXEsxz7/un7r8fv1uWVcB/G5OzJhp/98y4ppotN3MCjgjsSFbIt8PNkpW3F9XDMOAaRwawKuEQiqLgPreGN0i9DCg6bxiymS2ziv2D/fYP7jEw3sXmC9nvkmJ341xGrAcRmsoHkLAu9/9frz22sfNo5oz14uooa79n0KIWJYVy3LAKnUyudTU2uodfqeAwLdPQuA0v4v7FxaN7KXpF7d1DzZqXP3ioMcAUVNjdp2nURfDeb5EWjnqc/PGXTO4pnGHcTyzY+iCO5SIdZFnTI4TCteDYAAoETMEDtGewZwJoqJB3FCzzs8Q2RhKnNEgKPLaa1CD1LcGAY6ZZTUCaOfqj+H+9u+0B3leeiOLEK7cJqA699T55fWC37ZxLsixe8Ov6hPY2IroftM98OuHm4NOfI9N7/DT1k3LvBxT+mtUs2O/1DEnMeo0dU7rdhfpL6uN2fWaMiCssaz3csooZxk5Ddb+AGBDVImCoNF8Nc6dkZ6TtnpauEdj4oyRec//r+vB2nGgZCzLLD+1DdCyHPDKK1+AV175AnzqUz+Cy8v7lpmljLN9ZKi9b7Xv5uXFPbz00nvN2fa8yYP7r1nqPTeID2aH8XtfI781ivjkRqkyXYrn4uj7JwWbrfOJW9s0Dvk4cMsTCYhMux1SXhGFfG+aznB24xwXDzK4/p0wTgPW+QzDGHG4ONRxCckZwHqO3yXOaihHY6nPeyMuylmvQX6HlmzG0mdJIqICzLJGguX9bZl960Ebh3AuR+m6SjLkdZPZen7cQtBh4DB1TjG9rszzMghBUFpT9drrbz13UGb/OkeV2ZqAUFlkKQQrUEHQtnK1JEDH0utdgPUI98ReDaANU0De19KRIDqJj5ms5/zW/VR9yPNbI8EoWqZQiY5Up3EgBSipOOdCbnSyPS8bxE8q6izMYIKjOERJq66gPwJY1whgbZ4za+ezsUbxeNbuXFknEk8jbxpsAqp09AUokmIy4/zslqXXruuCECJHNwsvBvpCpHXBclgwTAPysmBdM+b9gpt3b2F3Y4c7L7wEADhcXCLEwfoacTSTH5x7n75nfTdjqscepkFylyUX2YOqUAlpvKkX5CVO8vA2TGkSvRyGNiK55QXNUPCpALa9SUq6owBAv/app95rrUCSDSeS0dS03VSygT32stRxjIEaQiAmqShNipelE+kL74zjlIvVjepYFCD6h08B8pJWi3BqtFPnynvrowOFayoYh0GuiRWRObgIdj+8MTe4uksFw1ZzSTX9mJUYATFjwGAeqnVmQwWBMAwDxsE7H2r9Z9PYHW00sygrpfNmlVJBZpZWPQ/feID7rz1AEi9THAJSUgdKQMxM2EJ79XYl3Lr1IlJaMUReCC19J4TG+57TinU5GJDQ7zxT9LP0EF8nb9d5PpskrwmHi8sjBlqgM+abHnC1lxwAyxBRfaILlr5fPcHTdUBTvzfCCxRcXj7Aus44my9x48YdjOOEYZxAdNMIDtKSUHb1GVZfXFrZ6FKPdCicKVACWlZCwHRvUObZXAwFqh7mCyookuWiurmgWD2j6So1rFCzD/paWB8dvmouPFDdAn9b4IKHeVxzuXX8/vfWOfz/HhACLVBWXd0T/bAuPX6+tgyRrc9yYcIfTffSiKY9a36+co2k8zmqgQ2w8VQksmhkfLlyLnBP4YW9+0vCQuwGHsZi0U01wOIYscxLc/5+ntXoXuYFF/cvMV/O7OApBfPhILWDs9RlLVhWBZp71oFpxcXDN/DR5YA7d17G3TuvSKrt68xK293brfkDKini/vAQRAHTtDva5nmQyr0h9ygOVtfIaYLHacYeaLbPe1tDGTwhmgLNTjyR05sR/wz50pJ2HAFGYoWAZZ1x//6rWJabGIaJo4sCbIZpQBwH5LyHRp+CAI0gNqlGH3MqCGIjqgPnKiO91j2zTaDTplldFsSItRSMr0lstE7H6j68TbH55bYftRyqYcMN7fvW6MNcdXQfLFDQGYZYo36evCcGjAo0NTrqgCbJuMIQj9JYATDTvXy2yprkgVROGXlRBmk5v3NiIcMcV5pqm5Za76jkaAAHpxZWaNbyRNN4ASbn8fPbO4M1fVZ1qa/RXWcGtiHG7r3g+z9MzAaf3NxpwCHGiHVeqq0nUc0aZY2gklGIryXGyG1xtNYWbDdqb1kdK/N/+M9aorTe2fes5CnApoqmmBBKERay4o2jBSkNWGhmb40Dess6Y79/iDPcFEN5tSLaOEa88r6Xce/T93D58AHGsIM2zaVAmEbuWXjYz3jjE6/j9ku3cX77BtZ15SbSa0IaOIqphommTfoUV41sca1jfZm0pyNRqMyDjRKrQAeoXuYYqIJGaiOjKnou1kPhCJTp8Xt2UzbAajNvIg52L51HR0GlfuZTzjTK6KXWfWdmXM0Z2dVZAhspIV10VIEm0DrCojy4a87o0768QbWsKytu1EVC28YMoQV/6gggRnY21xFC6uHqMJOcMyf2KAVIREKUSV4zLveXmIdoymyQvpe1JpLB7arHFKIgrT1Qz9QqtNnsgWcP2nw5s3d/TXZ8uy+Bja60JCa4iiNWIQoadyNu337Jop0xBluoiYKRAwGu522urGim+K7o6fi0YsbFOxBgqmQhatLm7s2i7UoM+LuAUjqPIQqIIuD7cl7RY+5Jogb8nlbqcn1GD/uHWMwxoW0d7tqzyhFOXoij1DVT5oyROEiLCKlRyvLsxXEApVzZbQFwGi3Xo/Jn1VvNwc+CEMSBtDJgQSBOp+0MH85U0ncGzTup/7fpyMfcAVvz40X38efuo5qBqvNQj6/316eq9sftgS5151CzQZ1XwDHBz1FPZGodkf3nxe3vj8GR6JrCrAaxjVeNplyPYbpSPO8alcxuzVHDCNCaKv7u8gHXMeeUkNZqQPPzU9s7kEZCpOem6sk4BCmHoWaM+4d73H/jdW6rMV/i4uE9rFqvKWDzcLiQlM8FSd6ptH+Iw+ECwzBx38TdTezxcLNGs1/nLWJRMub5gFIyzs9vH+33PEgTXaHaP1tBYC7ZdAxv02Za+d/8d93fR1V6kOP/bnWnHu/6ek191nWdLGV19y9z2vW6WFnXusw4HNhRuEjN77IMmKZzs0U1OyOtCcsyC6hkYpUYyWrf6xhg2UelcAQrUG0l0V9je311znyWAXX7kjj6jeXWSiAKSij2jvFn2fbX46rtsXW/9f+0VF6QxpHGDGRm5HmgqduEEDCM3AEiLauQfcGuxSK2Gk2NwSKZfiw1EtsR6aTC9yZS5XcRWw5gEJdyamrp17XWaNrzJbrusCSESBh3IzvItEad2NkZpVWh2lXNfOi99ERrbl5yyjisSerXgzkeOD2Y18oo8wS0gH7ez1ZjzsGGYIDTCxP8rSgxI2eu4dQ5HoYo0c3+HaslBDxuDUxohLV+72uxn0aeAdhU4ZeLb+pS2WhLMe9hjFFQtbK68eQNwyRsnGI8Lyt25ztQIFw+2CMQh+O1p6aycmkfxsN+Rvn0PTFAOAy+zGsTxtcazfNp6ijwGYB5DgwFMlOMTU68RuMy2ugcEQkw9QoajRdeAZ1G/IzVMLQ9GVUYICVjl1W6ECKqqas5I5XcnkueCY18KmDVh597crYKUo2ooGCocGNdhIwYItaUG4AbVWHJNRyEqVfHkErBKBFYvRYDwbYgBDNY9bvDslpLGp1DHy1SNlllBi6l9pYzL5ikvubCaboAewGVDChRRk41lYCoFqMvh4WVxcM9K4NY2b6WITRp414hp5SxHhYcLg9YZibLWOdjA6aZ8xCAAQiSohaHwOyhc32mRmHiJSKMuwnTeibPRJFUWba45/mSazU7FloFPHBz+CykCIgliqY830ktT1RCDDhcHLCss5vrTszw8CmWjtrKOeYChQpSoexwV6f3eemjMbYtcTRBqc6V5v/i4j4/88uBdSux8X/54BLIBcM0WoQSVCNR09lk6Y9x5HQjit3ilzKGsU0xzGsyL3gIgSNscPXGGciilkw7UdUfPEnd/AsDoupXdar1gK6fJwDCYA0jEiKnN/125m12RsCWkZzdPpYWawO+OiKqf+uatPY1blAQybaZgmyUNvK6xZCu41tztr6U3jAylsnuWtRQBmr0BVR7c+o5QowoxJkjwZVapHVFHAfrwZhTqdT9KaG2SmKjaBgGzGvHhyBlBsqSKxZQk4qYc8J+/xAPHr4uOjAzYJgPmJc91nVuajlVUuIaz/OzW7h160Xs9w+F4Otqx1x9HjJWdZKf3dzc9nmSECK3SCAuk/Lt7nrpn+n+M4DLc1JZN98hX4qQr3C6Peq8ckCrofPnWBO3C1uk5jSXhIcP32iA87LMtn3OBWVZEYeAdV5RSnLAqeq37KJh+qwq6AjxWP94oGf9DJWDI+fmGefD9RkNElnNpcmA8RHLkqvjp78v3gml5VJe3zTnc+nxdhxff68gU2wojdahcPmQZ71VsNteCzu+eM7k8JJlZkRCQAVxqCRmFJghPa0c1WPHmdh1LkV5XVYss5AB+bRbvX85Y10y4sBOfoocMKhgn3lMyiLOuUjdPFbnPh+v2Pj1fZn3M6L0WK+tcPQaIcBcHLgxSFmWjzgmyzDY6p+uNt9EhKUsRsjGQHVsyt/0mm19CQGpFAxxQJLjHD0Hz0CeIdjUhSlbAbkCTm69UPP9FYyO404WoAW73Q45ywSljFsv3DQq9SCgT9kMg3lnXH55Krj/6j2kNRkDnj0sIIwx4mwcMQ0RuQDLujYgaE3FagCHUD0QAGoLjHLsebcaTapNUvV9UoORpH2ICsGxr6ICPa3hXFPCnBJGl8bbtwjQtFWNdKrBpWDWb6t/+/odbxhpPZCCN60X0rHVvwumyAuGAtlFGL90ntjLj/a88It16/nx46ypZcH6fvJ44cA5gWhoyJqou1clJwQwEy9JZJgzNaT1QKyAEwNQNL11HDi9QgrHF1GW2qfJewbtOiQSlNaEdV4bSm9PFKTkGzJgGzcRrB5jmAZM6w7LMnMN3cSEWABwdvMM+4s9ChagVOXPDIrOgwuNaLbK6NlJjVTZxb0DhYjJyPYP99XRcmTzqFNAa5iz/QAV2PT79P9zRCBeey97QKqeUNWTIQzymz3ztTE5L4TLniPw8+WMvCYMK/eTU88+SkHQpuVo32eNkGVU44nnRMdWDZ/ah1FA5YZBxHqt9qD0c/4o4O0dg15vbUUtyekVfy88c60XTXXqDel+/FbD6c6va4F3MvbvZ3ZjP6r/tOt2Y6Q2U6R3ONic5CIe/e5+OU+998qrx99fI6R/Wy8aqRiG6KKm0orsZrRopaZhsxHPRiGJMzMM6jlvoz3Kttmcj8g907E6UsSBU0qRlmyVvbu/PwADzovL+xjXHW7dfEHaTd1r0i2bOZR7qDbMg/uv4aWX33e03fMgHD2pDrFhGM3WUidnn2nRO3k4YyMbgPT3wIOa/r6Qi6K+WeFMNGYn7Y1xNaTXZca0O7OUYG4TFYyNWHsSUwiIQ8QyXyKlhBiBUtQr1kVnczH2V33XgNZusM0dYPO1mSCqxDgSVOmJfIhgQFPn0Bhqu7mmjnOisoZXgKjj0N9aHmHX1ekUT3pZqNoZwzAIY3Q2ojGN/Oo4CMdO0caeygXoQGHz3GS2QKxUA0AcORU3jgMoZ9DKfTwhBElJenoqu7WNHdV80XZdh8sDhiFiOpu4vZxkWgAS4dxYd+wa3PGa+UycVaLpuHGokUZt+xJCQAkZKUlEvHM6lpyxlsXWbY1Cql3APwnLwmVhiWrfzZCdY0Sy5HTMwzA1EWBNk7/cP8A47pqg4dPKMwWbPFhOVYghIqEDR4mLscdxh2k6xzSdYZrO2PMYyIrQ2ajhnO+cM3bnZxjPRq7DjJxypexd4ziyF2VJyAm4vH9hxbKThMVHyasvpWA/L1zblzNiIKw5GcmP70vDuqA1QBRwqiTx0muqWgwBofAxFUD6NC//95qSgUIDpwI0izO2NPU3l4LJ0ccj1IbrbDwRdHHQ+rEtgyyXCurUqNIaTiLColFDAa8eHIYQBAAKZ2TOtn1/Do3EcppvbRXgyTr0L02N1d6W/H9V5NrrMznl6ms+7bzOe6MKWZ0NHBWQtI0SsGBFTgKGB460aL4+xYAAjtxlykZ4kXMGaXNxMQCVOY5vCdP2Y2OdpBBAjklMWdPseRsiYoyYpnMmMppXnN9SciBOGVnXAwgB87K3OV+WuavPlPqut8g7ddUxnxVj2eeS5JyNNALYAoq5+99Hjo4jSlceYwtAdAt2L/rch1BbPbFndDADPcYBUfsQOxbBItGr3tCxbTuwZfu4aKX2BLafDIShBVjFr87g97VEmEFCCjgd8NT/S9FWKfo+VgPY7wfgCGgSteCy6uGq47faX6kO09T9IyOMalsUoOrh9txOr23cV3WA+rpx/3+pgYxmbnQ7c7DKmNecm/RZM+ACgbLU4gZYdMHGKi0GgFqTrhwIRTzyauDGGExn5sy6bprqs3K4nM3QZrLAdPT86tjUaONWBtnWeWWY9M+eB51RPP68NgxYabnyvbC5zgnzfIl7acWdO6/gxRffi/v3P43D4RJb5QcKzkvJuLi8j3fFZ2o+fVZJ7UFZyQKBbSex/m3vFKnD6dhB5N+HBmjIekrQdfXxwOYWKOLj9dfDBrvWkGo2Sh1rrU3mftZcpoWcQTQY34Idq5TaJ1avrUDqFlsgfeSUEoPPopqdcx4Q22Vw89SD1c728M8qvzPt9ftUVZNcGhIaG6Po/bweO/R7MKvrQxwCA8qsvTW7DJDsiIwMCNffmg4LwMqRjkG2e97UWae2bCAhLeP5H0auK18OM9ZVaj6Fe6CvSTdiHznHMq+IuWB3vsPh8mA1p3FwOlPHIUQ8NneZdW12a6mXw+WBW7C4+VbCppy3HXr+IOu6iM4d4J3Yuk1KizzjMFK3IAEafafqvazruzqkh6FilWk6wzjucDhcbOrSJ5Vnqi0tD37/0DX65cmIkXPhz89vCdDcYRwmxMgepXl/wDiOGCdmm10OC27evWH53+NutLYmFuVUGmgNu0vKzXKYce/V+xwxEu/85cAEAuPAEU8mphFG08jRt3EYag81ATiqCHt2REBTsGrdpi30QnRDVgfagUqXVqsprJrqaouonMO8DqUS9WjrD33kGTAqE61ECXVxcC+9gmOOflVMpNHQQbwkuq9GW7mBu5AFuAWj7+nGv7P1HFXR1inNHPmFBtVb5smIfO9PTQ/WWtQYIpKkcur9JGKgr2sXkRShE4PxEmBG6xAikkOFhZh8KQRCSsSOklIY9AYChdjQRptXbQg1tUicICUUIBYAweoqAU6VKEuShaPeOzWaxt1o7U4AMN36mpAznJcPTRrFsuztbz1e4dVOAOezB5tbiuedmEa7zgsuHjzcvHYPtLov5Pf2fNniYf8fEwtdJ34hsYeMNAo0WJQixpGBp6SDee+mPxZ7zUki++05NOJfxw0gFWarzQUIxQgsSqnb18+I+7QNUaIG0dLU1FpUUJlzNvbHVHqG2QoeGzCxARp7oKnS15P7OdiKwLR9fY/TdU03dufygFD1VuOAE72+dU4qBG4D056nj04036e2f1v9vILOWseE5h6zrqmRl1QKKNdojG6j6y9iQAgF0zA5IMgHrFlKJG2cJMUs18iHOUtjQFmVXbOxxJvxmaMXZCniIQwIcTVuCHZAHKdk+rVnTQveuPdJ3Lz5Al584T148PANXFy8gXVdmvtQiWsGLMse4zgdHfd5kZoVMSAIe2u/XpuuAaFBN1L3pd9VZ06wes/WMdxGu7LL/vDjOR5j+35oGYJGtJWRFtAsk3pc5kLg3pohjOaAAyCZd6M5V9gmWO04hK4sYiM11A2yji9QxyrbppX6Z02jX3Y88e8D/E54oMmT7QBs0PfJjcm9x/04tpygCjqPQGOnYyxtFkwm16eopjW7yK1ku1CNxAI46rPrGY/6OQJg+9rYqDr+SykcPACQZuYh0BYpKVXbqOTaF7POkWSwSY0uwDbYQcgeSfgKiFDZcYm4DU4hQFiJQwEy5a5di5xD2kKN09C2mdLMuzFKyrZ3/FVyLlXSHIQ4TjcvpSCtC2ickFJBDJHvdWZ7dMtJzZH8iZ12MWIYJizLAe9+9/tx8+Zd3L9/Fx//+AeR0v2j63kSeaZgkxfPxGxwUnCtSmWazhDDgEDBQCYrBl6EluWA6WyH6XzilBwx0odpwP7h3rwX9QVAkzowTCOTC7hau/2DS765lzPKywXzbsIQIyZ5kX0bkxgCgnku+SFecsbo0rHMAycSJdKnBBE9HX8fuWSAWZo000PHdNWLB6AKdvuecaxIFbi2Ucko+dgKUjWCaXWrdbCIIWBe63gMEIdjRR/cMTTlNefckGUMMWJeVwOw0S1QNidojUE9tv5WdkZNrSXUGk3INfM94dpUXvhKM0ZtYq71nWvONgcALIc+Z0kFLACNJCnZ4L5FABff+8VhzXZ/hnGQuiR+Ln09avuC14hrbc7MNZtEwowr6eXT+YSHrz/kNF1Z+Gt/TV7wtCapCLj0YGXL+HwW8lYd93NNlplrv7QOPWRwmo3UWDfAT+sTXU0mUMFIXeTFK9x97sV7YVW8Z9r3F64RIF5I1KgyY1w9m5HZGaOROrTe3upd9xkErRGSMwwc+HHbtWW2SXPOkDgYE3GlzAyDWWs4mSwIuW0B1ddkXkXo4wGmn59AVX806ado/+/378/pdfHqjGbvfAvufz2HP445mY4M7ZZ1289hEV4Efy6vX3TM+n8qvudv+xzpdHEJQD46RhxC83zZdwHCVi6RyrGaELX+rILCECdONwyzGXohBG5hEiMoiJNU7r9uY/MuDrx1Tc1n5o4ljqgMw8gkFyE1QNPP+db1qKS04sGD17AsB7xw913Y7c7x+uufwLIc0EsxkqDnUw8qkO8dwcrsC7TAqKCAvFOsy+bqdYF3OLfPHW/vy0KuumdHn3f6cguc8viT6MjQ2mqFs6k0LXEYRmZ+d9E9dvYNdvzqdCuA0BcY4BFg4sdNJJGFeKybein2jlFznjDUfoi2f+yBJUDC6m/zFdr3oHXAScmPI/7xY+vvRY3IMjgCGGgqQPPONCKyz+s+LnNFo21yP0qpGQ7HKfSoZEeBUNaqL3I6fl4UxPosshAClx9QRgyF6zBRQWspnEas6f8AlzAdLg8WGZbKUMZ9TWuUYtwGROJgK6l19wcyMsne6aLHYSdHbOaevytGSKRdPuz6Sy0XSHkFFk4NzyvXoSZwWcxyOGb+DiHi5s0XZM4SLi/u4+7dd+Er/vWvYAbfNeGv//k/gw984HvwNPKM80CKpNFyal/tBVhJBkCEAk6pTTLZykyoE1MKmLwgA7dful0nyBX9NgxbcpzpbETJhZmwpO5ymVfkexdIa8L57XPszibsha1pVMKXdcVuHLFfFkxdlFJZaX26rf++lCL9GGuNoQzV/ld2Wh3nKuBH00pTztJORD0W2SKs3shJOdtLaWyrOdv5bLtuESyF25UMIeBsmqrCl/uypITdOHJkT+5RyhlDqMCuqZFER44EwhhDQ+ev3yV3DVqLBcBqTYE6B144bViZfmG/gzR4L6W4Yyh5RrA5zqwJ6v2QtGM9dtDWKABCKViR2XuYNZ2GDaBUSvUkhlpPYYa6M45YkSnpUES2vrOETGRtJfg4VRmy1zECSBjPRqzrxPUPIVh6W1pWxDhgni9NATGzqJABCS2/pdNeRVjzjGTr2FuL5vMqRMJ47chHbM7FyPdeU6sdk5TWksnSuIwkCC7qZfu1tRvXzfGRgeaey1rfFsHZALnZTxdIourQKymjRDmmgUgY66HS/FtqlHjeS+IoZM6FF2XZN+e2DZQamEABUua6QKcrFJD7licK0HSbQGSlBlv3qHf06H5bssUouwVybfsQMOBqgHhVj1CV/h3S+9+zyvoxq27S/YtbC3rQqgaYbqcONaAaxWrg+edsq0astl0QB6U4CIZRerPqvrEFAzkxeccwskNmnTkNTHsT+rnUd0rPowZgknpTwEVRiRCoOk5yTqDABIQpLY1B3MtV75ASDn1qXXD71ot41ytfgNde/zgOh0t7f1VSWnBx8XSe/s9WIeLUWZAHmlnsEq6H1V7qvD2BS9ZdpBMQ3XYcefFOOAZoSbKD9Nm8nhzI9rfz8EtxDGxzowOqwyab/aOfc1oif2dZeZn70u7Od6Y7NdARe4BXJL08ayTtOFNEo5GE1oFv4FevL9TUdNPpYUt/1PeyB5D9WtE8855IqNeFAjivsh30PMMYLW1W016PHVqtcw3AkX7QdaOYrqpzYHbY0ZohBJZOGXrHiHYESDqujcwOXWPH3Wj17FzqJ2RqmdvaANy6RVNqba3rQHj2kW7Rb0PROAX3o9b7nDPze2gbqCP9q62lrkold+CylOO5L4XJsLj7R2h0tzK/e4kxSvsodqwty4wv/sIvx/mtc1zev8Dlg0srUXgaeeZFB74IWyXIIjCOE7gIOyHlhIjRQsNN0XFh9rp1XTGdjTi7eWaelzAE87r6m83pAwG789EWJF78WKGty4qLNy4wX84YxgHj2Yh0NmEcB2AcgWVpWGoN/GkkVbzfmuYZiNt16N+5tC96cgYBwKmk2g/Tk0Tobw809TOfYpU75XHU/61U7zn3q8u2/zgMiIFJiSJRk1SUS2GmXjmPb+XiwWxzLvc9e/cTIgJ244gxRqvjTKUcvTD6wKeSjTBDsulY6YfQGGeaklzHy2k2oxgTwX0+xFDbzuQsDFvBWrgoEO2jm2tKGCT9lUbxtq0JpRBHOCmBckbIhFVTRfzCRmSptBQDSBZYrVHTovKm9igEhFiQM9cmp6RkDFwroD1l7biipLR2FGCwqfn6HM1Otv3b2V9T5Xn19G8JEWE+HMwwuUrUgKnAQO9n3PCsH0eTnpYog0j75AWphWxJEjQCEEKrTwGuneGFr6Y6EnngWWpqLBFHK6kgNmRAsLRZfp6LRTerAcVeYQU+7HzxUVP1U7r6LtT6y6vmXa9F9cqjxIPQnsjHz0t/DnXQ+ZRWEt0ZQzDd6sUbh3bscrxNcy1dtMg7FXzKMH9UnzmeMnEGcI4uP4sp11pOb4iZc6C08+7HEis7d19fZeMikjTd3NwnXQP8+DVC0hCpAaYDdRzNOUg985X0ijOluK/3VgqzBzo6T+02zJT/+hufwPnZLdy9+y4cDhd48OB1Jj6UuUppxf37r+K5FgrW31mfpybtsAM2TT0myJxoAOx7BoAVINkzKumvSjKp328O67ggE9ntozq3F2+XqpMwhIH1IwXu7SjHVjCpRFohcHZef/05ARTq+6StRgDRe1SalNE6lsr34edSr+Eovda2YweOpZiXwpHMWPWJsYi7Y1UwVqOr/vg+UtLcU3Eq6f8hBMRRiL+W1RxNW2ug7SP1oiFSkwnhx8jXFBCoiMOe32/4Ug3FCg5gF9SUVj1PFkIyBY/Xrs8517R9OY+mBcfI5GUlZeZ+2Y04XBxsDQoBKLmbRwhQhuitRKASEAfUFONAoMLjjONQdauUlOh94svt3iGnh3OupYq8T8uJkBITCiVH+BQ6R4Nuq+VYnlTt4esP/DjZ6QABAABJREFUkVLCxz/wMbz66seunMPHlbelwj2llfOCXTF2/alKgoikZo0fvlVyrs9u7jBfzkDgsH10YFLF0/SP02B5zuqpNxA7r5j3M8LDgN2NHcbdiPXmGXbTiJ2/8ajkPCtYMQSqKbPFGROpVPIbjUoCMOCa3PUOnUeMiDAN0dV31uvyaafRvZgeiOrfmh5mRmRhQDWUgl2MmIYBg7SLQc5IqBHPQJW9Uc83SuRPU2K84eONPg+YSyk4G0cMkdOL9/Nsf6tyDeIB1YXJR3ZX6Y9ZATZHMn3kIhITDs0STebPpIa1cIRTmWepkDDTkTE3EpHVlKaSkTID7JSzkWLos6jtS/gZYrKgAdzqJK0JKNU7GqIqBymwV2bHmM0o0sgCH0+M4ByBGAFt3hvahsIAG/3TWUTOK6dIAChCxKV9z5Ijdirm8HlrwR8/A+8skOnlMF8egQaekwCijFJSo9BV2MGWGXBCdd8xO6kdT+Q6z+JV2wWqBg0vkLHZTg3Jmv4FYyMlSfmpPhVd9AuK9I4rkndOcJG2XPtoliKLrrHmsbFDoZLM+GP3hhbXcNZoJnW/gasjh1vbXidXlSiotPXqx+ewyqTCTkllHPeGpOrNrfvljeje0XeU+ktsaOp6oACukhR5bz/XK+n9th6bcp+PiSNcTVKs99yfO4RQeww6YqicgDhKSlyuPTv9MXROpt1YJ1+MSF9+oAZ/zi2oqWM4tgOU9IL0Z6M+9yrxx8854eHFG5iXA1544d145ZXPx2uvfbzJZNjvHz72sT+XREnmqGRjZs05AaVmWx0Bf9R1vY9sskM+iPOrjwjm5rfPCGkcKugiZRupuv1zoNGYHoDydxk5z3UcKGAGWjlHIKxLG1Gfhoh5f0CMA4aJCStr2qQ62OrzbREl0Zd+/L1u8fWCrFdZR3ovTckOVLvn2jv/eDtAO7MoUA3qKNTzejsOUpsthDKNOHAyjNFaHHnmfT2P9qNsrlPsGUifzUGidnqvFSApIM8pg1ynhn599cKptN5xCiPY9CIq90j/kMy3AvScpJ+0e5ZijCiBgXUIAbvzCfN+qXMrRGsUA0JRB0QFuL5dHkIxRlwisprR2obPzX0g20bblel9K9hy/DA5m5ckfWX5OQ1cIxrbCCgR4ebNF3B+8wZe+9QnQGPAQSoHiCQraojmdHoaeVvAJhHh7OwmQhws7z+lFTmtKMNoHvgQhKZYaI+NBS9G8wCUnLmgewiNIaQGfRw4eZ6VgChC8azzYlbzuNdltZu2DwHj2YjdbsJuHK3HZpSolzdABgdk17X2jFKgqSDRvyRsFNSULzUMvPL0ilyNh6sMeW9c9V77IgbTEILUqDLQ3A0jUs6YhgHzumItxcBfDAFpXZt0Wc/46r2XfPw6Bwx6yZwJQ4gGICMFDIGwuvMwCG+vJ5Kkmro5BKpS9XOpdbQGzl26nY5bSYmyRkWE7jtJim1v7DEIDUwaFBioKkstEVlLnVQKQmGmxAKn4It71tA7QoTMKjBLZ4iEJJ60OARTQCo5ZVN6/p4aoCwZ83Jg8KnvknijFHw+LpvfSd68LMvBFhPP3qjtaOzzUqObarTxdwIQQksvrk4Di0Q2eqQSqVwlBLc4S7oRUa2JgVuo9LnR+pQQIvctk+cypYyYstNLsHR0JbPKqwKdYoYVJNVWr0fTj/Sao3jbuSdnNfL8e1OKOBE3Umi99Cyvdf+qD+wzbwxfIT51tgey3lF2fJ5aSuF7Mvtt/DHVCeZF56hvfaI6nR1m6nzs6u6xTRhkBmXSPrylAY/+OkIIVsPZtLHp6p408mzMkyAznCAOh751AY+hWL87nE28rTgUYgxY/VyJ021dVtdHj/X5MAy4vNQ6pWjvmMowjJjnjWjrNbL1/MzzJV599SO4c+cVvPvd78d+/xCHw4WUCS1XHOlzWzTVXsGl6a6SUawtCkvz3lFoazeLrkkZFOnqNalUJyyTMj3m2kU1U6O3lbbI1FT/at263j+iyV0nX1NakgE0sxmJORXiOGDcjRjGwaJ8BjBcBKvkSlajYKgdvtiN8vzzO9cR38i4a9/O4EATACHd6R1rtrbE43eAus/0vP5/PYbObRwCA01Jm+1tk94Z1L/32rZQbpukyQYrKeJ62Toum0+iGinUv5v1UK4jSM1v4a4C2Zd9UftuN04L1ZdEINIxa3kH2/RsizGPDHPD6PodgGVFMbAIADVYwCVkVY+yXQfkzFH0gGwlJ1yC1c871276iLwCzeokSHoTbH91XvP3q4xtAAUgaEeGMCAp4WgccOvFW3jpfS8xx81+xt1X7uLs1jmWw4LdjR2m6QxPK28L2Dw7u4lpOod60YsQA61pRVgXTJOkjo4D9ytcVvE0cFHr4YIbjzNLE6fE7sYd4jQ2bJ9aq6lA04eoAVifG30Jo+shVwrXjC5hRUoZl4HBmgERi+AxKFHAOQiIUYNkGloPwBCCGTjeKNKIogpH5cj+Zq9GTU/aAkf6WV/f6Y0Tvd4xDkepuIADmjkzTb7VgJJFLr0BpDXkdh0S2Q3aFDmtDDbl/GfTiHmt9a4kgNI3IzdCDrTeNgBGdgR3PVrP5edP/9e50/uj4DnlDIgyCTwpUtydmpraCK5VWVHvATQ1VVM9kDFgqGkaLjKgLSSqQpVUrxgw7ibuOZd9ihsvtJpGqwuJ9+pr7aYqFqLg6jWlX17ODVHQWxvVbO/PO1WYHOgcgIJANWjWZkHQz4+MKPFGKkkaH0dTp9vemvx+15YC14oeywgmODWN6ygTUl7ho645r1gOC0aJNK3LihBGlFKw7GerLfHXktcEipVt2cbtdBOno2u9NKei0UZklXFTJSWp4FLOJxERBj3e8Ycj4NhHJRsj4xqQucVGa/q1MKHRkpJlpmwBOi2lMEOgtGDLg+X+O3UwAGgYuf052rHBjuOvN4bAnADK8Nh587camut2PgPomLgC5h0PkSzCAeRN47U/z5YRm9dsRnYprh7TCRHXcdI4WDpgKbA2VfyOuFS+UgmyntYTr7KuC15//RM4HC7wo37UT8BudwMf+9gHMM+Xz+T4n23C85gRXDTDA86jbe3vFb34Z1zXL59dwcdsm9d7xwz/dvwcPnrq3rUju4ZqOq4/trbgUyeFPjv6LNXnPyHn+r+Ct2EaTdcB4Cy6ITIZpQOFdn2u9q+Ozb0LPmNAa+xCm93RbO8yFHRM/j70esOz0G6OIbdzqJ+pPibiiCZwPQmQ/m6IpaSErc6/kjCJE18BbuhaZWmWjfTv1e08kZmfO11DFAQmsfON8VoCDkr6o2NtnGBKYsTGLa8UTkcHzWBMzCuzHNra85CD2XC9DaspsSRMu3GIPI8xNM+wRjjNqSZtVeydKJ0uP3q+V7FDlJBQ1udcwTSAmpEi8uDBazh88ALTdI53f9G7MZ1NXNYg9+DmnRsYx93RM/Sk8paDzRgHnJ3dtJ5E+iKzV3w1Y2gYdrawLIcFwxixzCums4nJUaRWU70XeU2IZxFDYIAaAhdUU2jBmEYe1rUCTa35VM8ViKw3pwpRS2hj6bOFOPqVan2jsp567zyDvbYuUx9uZVUFqrHuU7QUNPmU24x6TGOedR7/Ou4KUpk8g2yMCiQz6tg1fVbrLJU0SYHpEAJWV/9HpXrldf+S00baF1CIo5wr5caDr3ORc0v7T8Jw2HiuUM+ldZ59Co2X3rgjd/113mBpJEOIIGQbv++T50UpuXPiiKalzUqkAEBNqRhibYwsyloXheUwY/9wXyM9qMpDa6gAYJDCdY78xMabmPOKpCm0ea3pteXtq9XcNoCP00CfVwkhmoOF/w/mSAA6I0yfUZ0fIQUqKECpLY/8/AVSQ6dNM7tqfltvb0s+wftWcov6HGUzIpfDjGEaWL/KM50TO1OGuQXPRTzqUEBDhBIKkx6FIqzMJN1/2NsfQ6wg2AGsLUOIa6LVWXM9SPTHa45Rjh1rzfddhNNHMHN37zRSnAGsrk+cB5Wqa9cNoNnfM2XH7s+j//bRgeY6ioybCgLayGh2x/LjK+XYm6/nMWOVukim296fP47BnGelFFmTqzFeydP4vlnKbgNwizF3727sOkdLBbpaw8R9//i7tLSA5ghkhIgAZ3gfgZDHB6AtQM64uLiHD33o+/CVX/m1+Kqv+jn4wAe++7GP9bkkKa1IOVlqaTHCsyQOTebj9NI/syr6XPS1jr6+zDshkgHB7ft0lXPzqnet30aDHfy/9HOkAAoR4zBx/83CrS60XhHumCFyqw915tx84RbSmnB574LHoCSC+kz3tcyOFdYifeH4PevH3RzD5pCfb62J14wDfe5bO0gvgJqazWauZRxBgjA+e0Gd2lf1vmx0ieoCPaxENf2zQEQQwlxxVjmdI8k7UTIa6xqxtMzZgXvqEiU7T1pWgLhOXDMf1UFFBAPOfXaHpurbHSjFUmxVzwGczTOMg0QdBSDKuIPYfUnWTb3fAIyr0mptpT2Yzqt3HpRYGHDmOicaoaxtfcjGCcBqnqElf4HHyPseOyK8Y2WeLzAfLnER7uPy8j6IAl5+7d1435e+D+NuxJ2X7+DGjTtPbdu9xWCTME3nnJrlPOBK2zsOE5TlK2roWRandeG+NnGICAMb27sbOzZEcsa6JoQ1YdqNVsMZY0TsIov6IuuLMIiX3noOuZx7VQSautWnqirI6gGSB538GwxgxSPno6L8vXthu/sXiMGdHtsbDp7JMXWeY60PyvLAah3obhyt3UkFuzwujfopaYldk4DMUgouZla+0zA0PUr5ujQljEmI8lL7kmmkNkodxOU81xYxMlcZ7cLje4RqRFjMTiZtkvRcPy/KSJtLu+Do9Vg9U4xG8OR7fjKJUMSS1maOiPjWtMoUQggQGjBJxKlgStOv6a5eAVMoxqpMklab1lT73bnzxCFimAYs+8XSGb1na1lmYSNrI6QFG9Gzt1C80bFpGL8DhChw+t+6QHvIeYOgMbKvSO3S374eDNTWV3qD59FjIjuG35dTeqUOfV0kAsvv9DKvuBmrUWj1OKVgPSwGpCPUaQgDrlz+UFCU3GCQPsiBzHCpQ6Lmb08U4z31XsIjnqst49SDJp0KA44d0Cwom4y21l7E6eAMmG5sAf71hiJRbbnCescb3y3YtTp8dw3VCUHNvj2Tdy7ttSkZBXyNF1X9SVIyYI7SwERPrDNbg9k7BsxoDNxbE0DDrgiwsyJZDWadj/mSa+X268GMtFBqSwPdTh0fgEY12CjkZzM3BhOPqS094GvdauESmr+fRGc+fPg6vvd7vxNf9VU/B//6T/vZj73f55JoQIDBf1uXd90+vf6vjq7QZOW0+rGmbGvUcetd3nq/VJ8+ygjubQJO+a4tXHJhvbamBTmtHL0lwrIsOJ9u8H65gAbWXVpTqft7bgc/V0XaYmhpQSls3/ltVB/qs3/dtXuQ5Sa5AZx2XN65Elx64KOcEBup9MMwGGA1h6Mvo9p4FnSMR04nySDsdTEAA1i+SwBRl9EVqWYzWHSOoIy/AEeWi9SKlnnBfFiMRVhBH98DwijdKigQyiLlRik1zgHfz1zdd0WyPgxwrgnj2YT5cpb7xmSPVWd1ARBXTpCTcngUqYfX663p4PwutMdIKSGti4BKTX/lTCS1+3T+eb7VRucMPFXAnqxK79u6LkZ0uL+8j1wyLi/v49YLtzDuRty8ewN37rz82Q02d9MZsyGl1YqUefGZeaE4Z4ptZpGrUZlSOHI5nU0IgY3vZV6w7BdM55N5cPOaQDd2GKeheRGIYMCx1iJVr48unmosaVSzz3FXw8f3fVSgpn8rKU8MoTGUohAVVAOiRtYUGCjo9N66XLKlh3Iqak0N9cLR0dAQVihgYw9NTUslIovYqQHFRD4VvOn85cJgPpfCBEMS2VznGTemCWOMBnqHEDFEAe/EKcSHZXHXApu3Ubbr+3ACqKm7gQkiNMrbgEoHSLcWmEBAKq0SbFKCwd8NopgGiejGwOlxkQJIjCbt10nOw1aCFHOLAmbWWSY44VYq1aBS7xSENa6vXbIFRHfoGCGJCOM04vBwb+POa7J0o1W8r1qrWftrliYt4+2QmvL4zgKZ3nBJeXVKvphy9/ehvycF7T2XjZpIjB6LKCCXFZ7JUb9vHGsd+NHvtIY3qAOnVI+q6tx1XqVOnhcyzS7JuViPQxRNJZcoU05IS0IcubVFAAdtDUB2qWAe0Ohn/fc9QLQMBtWxHqx2z56CwUDHxo2XPlLaRzj773pyomPds20M99djQLOrXSMCQjemY9AkjrjO2ebPY+RAPs298e6XLmWNjZ5K0iT7AFajZefonLb6d4nF7qmNcU0SiZR7asyQCWlZDYAu+wUhEsbdhGFixmSIQaZj0rRdfU6XPQNVbnGy1p6MROa4JVDzbPh7UA3Jx5NjAFHw4MFr+Mf/+L9Dzj/j8Q/0OSQhsE0GgF9owEAnz1/bDQBonSoq/E73aee1D6qXUrgZfcq+1u5Y1/Fz3n7ey3UA1EAv6vMc41gjrag6eV1npGVCHCbTmXHkedFSrZwy94EPBKTOkUOtjm6fQa/nAY3s8blbDXXtPLt3r5lTp097B15JuSH+0b85WKOtbmodf2+3HJHZuGtq6jLd9W6Vg3khaonAAAFpXZovUQVzFjCSLLN14ZYiWt7ksyqICPsHl01/SwWi1u+cCECtLWYHmALBNvU7SNZNKcoFk+rnY6zRzSAprcWVLPg5VQoGuc4M0bFq+Ls5y12bk/4+MChPFmnla+NAHuwecsSWHeT8fnIwcEHOGWtesCwHLu1aOcAHIozj2aYj+EnkLQObRAEhDlhXBh8hBIloZgATN811E5XSilgiPyDS9JTrNxl0KplPkmim2elrAu1Gy6UnwlENCSAh93FoX5zQetYVRHrjQf/mKF2wHzWEgv3PgEs95PbSmJFQrAZUFWYgwiqpoUAluFEbrfak5P99yq0KZ0SwJ2OIwYAjwOPr04BVFHgFIlwuSwNGvULwKbSXixbUV+Vm2xJHSguK0f1nafUCMFhUxlki7ktEEMZcZ9ToGOd1tdRXHS9fb3HtTrYNsmLz2BqRPgpgABQSUQjM0qttCpRkKJMC8OKUTARlBYuSliHPLQXXmzQvVvitBes5s3NDibA0vbsqBy6YZ0bmmlrHijggpdmMLDW06kLeGppvh6hD450mrD9i6yjivOrGONXfWx7h+h2DSO9gCc5Iaw3e4wVrc2xHqbT9mJI4K7jWd11m5JQsoySl2c7NQDRLTcyqVhTWhWvqtc6osoCSpfBsGUX6f1/T442KviG6zXHh0gYFgb0hd93cVExyHNkE2prN7HTI1iKrBos/VzUyqyPJryNbNfP1eLUf8/G4H/1Ob0UP9Jot4iB9g4HeSVGjl5DvS4Hdr5xyY0R6YbZCZU0kMxh5Q2FaBEBi2CXpu7nMC9Z5weUDMlA77kbEWIFIXVu0nx/zKbDTeq3eejNktTShNPfiKiP/ccTPvT/Ow4dv4Hu+5+880bE+V4SzzQYr0VhXEofVKqCzTaPtAZA+i73uqttzrTpHY2p5ADvt2neq3U90l7y/Vzl/rpMkkcuUWyClz5MBAgOcCWOp75GP1IWBnWzrvBqw1PFwf9njaD1KDQA05D1NGRYasLgF2up+7Typc6afN9tPonQl1VZtMcamF6Mv2dkCylt1on6cHJHU6KkMwkVddR8PrvUWts9Nu3Z5W16BLRN9cumd1l16kKlkZB6Y6f3Res7ivtP1S6Odve7QSHHOfP+TgFcGcJHbCsq9B9jxxvdSo8uw8gKdq5ILcsigXOeAvySr3+TAVZQIeZ0Tz/5LRMbLYJkCebumnuvzNat0QCkTQtB3PCMJbrv1wi2UUvDqqx9pM63ehLylkc2UFvb8ExnoBJgpLsYR7LHnVJsYR5QkzVjFaJ8vD1asagpMyFTG3WhAMStL3tCmzOhLMZ1P7gV3i6z3wqgSAadWRrQ1lj4lVkEjUMFoEPCZSuY6wA0lC7TG45xrFHPN2SKGvcc+O0DqjSQiQgQE4LlopjPECgogkVFtexKdslgEBHF6Vk3H1O89yEPOuFwWDCFgGgYGbiEgAFiTkFM4D2jK1du1JOkBqZGVwiA6BrLtvKhx5sdKRE2liIJHHbs6g3rlZIqn+8zPoy4CKMWOp+cLRAw65cWlXAAElBhBgT3lOQSspe25qO0kLJWjKNvcsdHmBoNhN5iC1P00xbIBmLI4+obYb5foGHqv6zsFePI7nJu//T3QNGeUYt9tAc3+eE2UTQw7JrI43nfLu9yP0Zhvc0IJrol6iWZMlpKxpsUcfHGIyGtGRjY2RQaaM4BJ6ud56QjiDefU8NZ5p2PwUbEQGYh4o4li+47b5xuAMtD2+9Pv6xmtm+20NpJawNk7roA2o8Xr88ZhqWuE6FrNYNGyBi+RahaMOvZ0THqeXI51l59LNP/zv6pDATQ6g2t+eCb1M3Z+uXRvlyJrGRjqtc+c6qWpbH0rkjAwWRrXTlEl7AhkEXDLmokZeRjYOTEElD2/D4eLA3bnTD6hzJ7eoC+lcIrjksyItPYY5FLNnS7q71Mzf08oW+u4Huf5JQhi1tn6f62lrJG/NsviqrnVbDb/Pd/DFliuy9yka/YtUvx51M6p27ZpslftV68jQ8mCdtNZ0ytZHX9ZWras6wEln9m1VKeLBx4VXJRczKulQKbIu+LHou+bvmt9doHO01V2pL779RjH87/Zq1O3jez813e15NKQbeo4r/r/SFfLOJl1P0D7jerYdV3phW362nqkPw8RWSo9qDoszaZLkH6f/HxyZDY6wIkaobX04JbIR4G+4otSeHLTCpCQO+XM/aOJ5HmdFwzTaJFUXecoE0ogUHYpwRJJJteT0/RtZub3nDnVPK8Zxh1joJpZgEMckPJqUXidvywM0freWI11WoFhOipV8evXNJ7J37clcMbnWJYDd+e4scPF/QscDhefvWCzlIJ1XQzwKIIOITJZBGAF59qsnhnmkhH+JGRc3L/A7Zduc0PVy0PzIA0j13Myq39pmqKO0ph1y0iwHpwuhz1quBlw0Us2boZQyXT6Ok49fgYxeKLQ3FCNxCmblY9KWtSxVCMlkEbbNrzpaM9thglaY8hLEoMjoCCXYHWXi/S0BCppTsrZoqtANdiMWKgUkAFJBsehkBEOcXpqtBRc3W+IEbtxxJqSsd7qdfeLhCktyeXXe6CkGu211WhtTdmF9UANqBFNNf5Wd91meAIOsPo0GLLzKPthHSccuxlsodQazD7qoZ/HccA6L+44Nd1ZWcqmswnLvDSU65ymkaX5rqTOogAlC7BxRtibFgLeRGSUn/fj2qjnWbSJPFA91r2jZkuOwAPYaDDw5Rwfes9L2Y6sXT8+n8KWUbRNRq5pRMpmnBKz2M2Xc+2LBq4NDikAu4kX1MQRy2EarYYmxGB1mcfn10WtfQ/C0II1I+LorksjjseGzfG1ltL2x/SjYR28vf+jMgG2FmmA9Yw3iDULo09v1X39Z9bT2BsM7tnRba5rf8L7tdeW5Tiqa+qYq55TMKkK06eQpey88GEbSJTSGSyuBqi4voZ+notMmH9W/HiWeWEAKmuVNwhL5nV9FX14nFZH9t6FENGymV6f9uX7Lm4567ZAa+/AfB5liCPOb9zBgwevYV1mTLsWzNXrzlfOcfvMbKxJpWZ0pLQ06av+GMHZinruHvRcff6q//x5iQLGYULKyfr/ZhfpbBxhqHXsN26f484rd/D6J96w7dQWNRDEnv0K9K6yy8TGBWpUU4bH743u0z17DL6KsH73UyrgNAPMI5GtREz3VeBBgUvMSrrG/qLrU2b9/Os+QQiV9HwUyJjL/TUQVfs7xMh9LF0gSPv8etHjhBCYYCxy+8J1qfdumEZeYwJxpHFJTdmGgludaM7cr7YXHLg1gjqq9xJyr3Oq7bzq3Ll1L5JFONmZUh0HHphnuMhq0JIDmVdNyy7qWNOU11pvzOeLjc4EBFtJXfIw1si1ZU9KqvwyHwSXcaTzhXe9iPd92fuQloSzm2eIQ8AwDrhz5xV8/OMfOronTyJPl4R7rVTWWWVQYu9oNEpt807k1erRcub6IX1A5suZW5+MgxVmq3EH8ESqlz1JKqP1bQuB2azEI6VedYBz7mMMlgbGIz5uDq4PUO0lWRfThk2wuL6P7tp85FO937kwqPNps03EEld76jRF6KjBt3y3RZTDxkytYUw5YxHgx8CxGCiLMlYde5926pXMmrJFMhdJB1Uwq9vojxLz9NGGqnw0ilDnW4Gm98R4L42/V1bnqkbUxjZ121ax+2vjeas1ojqvQBs10OJ52yYXA51pWZGW1OwDoNaFlNbriOBJLgLGaUBalGRIPGlpcX02i3mvkkWSc7MgP7lQ9/vxRc//TpPmOVeggBrxbCIB3lDz35e6nwqn50dbLHjbJ5tfXaS8Eae/c2ayAXX08e8Vlw8vkFPGfDkz6U9asK4zhmHA2c0zjGcj4jgYmZumz/pzmpc9qNe4pkgBcHXznbHiUp/0HfHHreUNV98Hv/D7jAgADUCz/a4AmroOqD5QEFfXqyy6T9pFFSb8SaXqX18TqyzX6mzTsahTc4ixIaDz4+2v0QtRJZ0DWNf4cep+1Ok3NlxqdMW+C9XRAaAx0lQvNm2bJKXVGtt3KX3+OPq3pskGKWuJHdsn62Sq9Vri6PMslFxnpxGHOp7QOXr9GI7ucUPQtP1u+XVp4wDbnz8PQoRxmHDjxh0M42TrzpNI1TXHDtCihj5F66uperN16AQDs8E5M7dSpK86fy+5ZCzLwdWur0yWlo7bVTF4zOaQm853jRNmOpswnY3W8cDvZ+NwWU1bjqum9UkHwuw6+md6o+bd60BtTaRAM47cG3QQZteUEpb9jLSsnHrqdECvL/pMFX9e/72l4m7YrSR2u9eJ2mIkSJAiDJWt3M9J6XQDirZeEkLRrpUc6zWyNkpXPiMOQFbQW4mNhmnk7MmhbaNEWjISqbZYST4i72x/ITcNgQSTVD4Dopap29vBq3Qa0HXE6z11vvQOty1JiXk+hqk6xdu+q0ABP9vLMmNZDnjjU6/jw//8w3j1Y69KlknE7nyHd73rC6/WhY8pb0ufTQDMpDQxlTYRISUJB+eEdV0xjtVYni9nTGcTAJ6gw+UBIQau3ZT6IbHC1W5rUhXTmoAhWlqXCuezw9KCiKjJZy4FyODaSo3qRYrWDsSnt/YgqH0pBAhbexHxeosyDdRwZxxJa7iWo8/783hjV2slbd6zslIFIwrR6KI/tk8dJRAyZQOca0qA1qt2C7mCWPXE649+71uJmJEl5/LXEAgA1RpNHZPWaGnfz76vnI/uQtLY+rRc3c5vv2V86hxw79DcRI9N+rqqUqOYNc1LxwhzjoRBFPEiAFK8gLSSGG2EUghhkkbm82Ietko7v3QGeXXifLbIZ9NY3g7R9FjVDWrE9PqAP1f2xP4YpX23FXCYc6Pto+v3482v+rxSt+ecQUgoZlBkJgVIK8rA/YoPh0vszs+wzivCEDBN5xiGiPFsbHScHk8jVBYNEJBAETYuTZHqgUi91KoMzfsutZyeIVYjgQHUOIj8cfz40sZzSPRojKARytYB1i7o5oCT/6MDzn67rZryBvhrXY3c/zVVsOj3Oaq3R39c1jO+ttyLdz7aPkpoEjypB1nN0paBWUoliOJnM8Cb2dbM3q9LBU2GBoC6li/VORaj1L+Bn70y17HmI0dEMb2nXv6+d6O+k33k7VEG01aUsxqDobm+51XGcYfDfImcE+7efQWHwyUuLu4hxohxPGuCBzqd284QkqyJdi3WZylZf+GAjHQ87yhATkhSg0YgQBzzubTPlP79qHuTcxLwFrGuFyhlRAgZMbS1wr2zJiXuQ1ydwIQ4RmsLQhQa5zNh+/2xdcIZ/tWO3BhwN47mmqk694iIyxnE+TMIaaYFRnIlg8trv54UszWvAi+ql4H6PgOwVHnNSrDjEh2B5rJm60vJgLLqLFgZGzhTcSOyCcCYYbUdHMAOrCzpyjyvEcNY+N7GgOUwWx2qOURdzW8fiDLH2EbaL+wYAWldhQitZUUehsGIltKapWzBzYM+I5JSqFeqTriaoSH6MWcU6D1jR5svS+zXC6LYROqtdZ7yhcj7VIYIHCBOZdaj83yJ+/dfBRHhxfe8iJwyPvA9H8AnP/nDn70EQSpEtWBV/2egGS0ykzOTnQxx5F5m84K0rBh2I0riSOd8OWN3Y4c4cv5yXrP0g2OWO/OSinCImxuU60MfYzSPKUWp/RHK6MJI03Lr/Uu3pGSAE6jGjGegVRCZSm6MJAVkRvXcvccajdRHrkkHRWvEegWmBqrWL+i+JJ+tKZl3X40lbR3iF22Ntil5RSTCIgu40vFbz85AjaHDC0ZGCcGYa/V7DzqXlDANA+ZV8uqldrSA04+VlIdfGqm9VGXgXuQeaAY5DgBrB9ATCtm9AazNCY9pbeZOj2ltB4qmrPD9XPNiQLIxGCEp0uphc04PjRKa10q8ZjlnlP2MOETM+1ny+fkuD8NgisEvFKUU83ht9nK0MWUA24r62cq2QftOk/45az7rDOSt7c0Rs5Ey+Sh51Hy3rWkyciFA6juMZEoimwTC4XCBtNxGCISzG2cItwPWeTEvrI7fepJRjTSqytNIph9ZXdTFCGmMIAGRQ8tQqa+PLfyhMtE2UWByGTJAExn02QmAy3qw9/J4zvpsFd8/eesZV+fcVcfT4/i/twy6/pp8+tpWdobXXUUcflvg1lPo9+cM3fwANQoZxcvv09lKKY0B6QFo44gQUg7fHiKvSdZirs0c0ohxV+udNJ03xIBRaqE0cmDkHxJ5ZWOVySzU0cERgVkiVC6bZJM51b9rx+DSp59vzZt8ePzZcyKBAsZxwuXlA1xc3EcIDDJ1zR2EnXWeL9EzZPdypZOscNozURD2y4Q+Asp9uB3/hTuMv6deBzyWkEaQ+PkbpK5Nj6Vj1PdD38dxN2Lez7VHdq7p3ZpCqvWBDKCunwdOc63OHVs2kgI3uR+x6kyrnx6iZRQoc3TDSps5g651cNV57fWZL2XQ8ZrThtoUzf5aiCBtPFCJjlwNt97vnAsoF4lKqs0tdmipxEIgQkBuI5xW11n4MZA1iYgtEQWG67JiPBsRloCSwW1pRJ8piRkcH8swDRwBdhkWmrWmz8OW/h5GzuCLMWJdk6XmBmj9pqYTtw4+Kjh6TnksNfgVS3WmoRQDmnpufm/WI4dII/K+hDC0fV/du6Kps0F6lea04rDskdYFFCK++zv/AWIc8ZGP/ADeeOOT177njyNvOdisCkFyrdfZaMtjHEzJcLrWiEgj1jVh3s8WCk9rMqPn7OYZVsnvVnrmYRQQGRgsqtGfFs7hjgOn06o3qfcu6wuqOeOlFOzGwUBjz2qqNZhASz+cQRh9JLVwVM4zRrWRuxZc8j7bUU8FpJpy23u39ThKNJQLUHJCoICBKivtFgGFGlX1oR1cim02wKnMt3acLp9fwa/WZGqaWCmcRqvzPkt7kyC8z0qAVBRoOsCooJWBescY6WpJIwUQai2qTwHWfYkYhA8x2r3NBTbePgWt9v3U8HnvtS9WWK/erZSPI52mXLRuM0arLWgWTVH268ysizJ4pIWjms397qKeSkbzdkq/wL+TAGd0pQA5c88um49HGT7EbXM02gm0C1D1bLbMiI8rPegtOQk5FpMQBCpc15w4hSyK0RfigHE3YTwbMU4DgtQ5K+ufHtMIF0ILHHsA6gZUnS3d2HrgVT+v/5PTOQEEUBE9eRV5BjUZGP4YPXArRSKDnTPPz2P/vwexW3rJjyE5HanjaOrtqdaX6t9bZEVeVHdp9LbXiXqeEmBpznl1dUhFIgjS+08NW3O4xXq/lS1RWWC9hOhINWQb03nZtTKT9ittJEFZi8W4jIEdFokjn+w4HqzfqzolTO+6ekGfRqfzXMf4aBNHAacHmT2bs8xu8/nzquvWtGBZZgxxxOX+Aeb5EiEMmKZz7HY3oEy13C5hm1QmUOCaSGrrLu29CW2zHy63Skdz6nsTb9k9V6051ZmVjraf5z3m+RLzfIkYB8QwuPdZaxUThjhC6VQVYOwfXLYgTfZLSVv1uTruoTpQPKgDEchSz4P14QT4fVWgptG2KEBSay+ZBVecc+RSN1MxYh57l4dtssqrdNtV89hkP3hA7vW3B8RKNka0uR56h/mmM6Ifhy+7cN9TCIjG0Mrj1LYmy7wc9bz0ova+tlfU6yuFM8t8YIFIxlDakqc4BIy7EShFSMzqOLVHqV2vA5Vb3Bp+Temjl/57ZovWNpLbgBhis4/SqkfvixJK2lomdgzf3wER3IJoWQ749Kc/inm+xP7yAeZ5f/QuPam8DWm07KIehpFv4rogxgVBDJ+cknnZlVCIiHDYz9Z/qxReyGhdscwLdjd2DCbXZPVDAHs1YqlEP/rQUJgAYcNi9i6fuqAemfpSaUTQs6H2BknOwsTqjsNAicfia4Zy4dRMTT0DKqDsgaUHW/x//adJYe1rvGS7DMdMCAKQMa8rktQGcQpvQACH5FMpzUMOwGqIRu3DqUZ1qQQV0c1TDzgVIOaSsSRgTZrKSw0obo1MB5I75dQYmx2IvMqoP0q3lXuh7V405ULrs2pabSXr6KMcW4sMAKvX9EpII+4yCB6TgM11WS3vPw4RWIFC1ZOa1mQ9mtSDzFHNLUZTZaMtlib95PJ8Gk1vtdi96Izcos2gUQw0HnnhO0IM39xcjZ03IxXwuZptUgDMkc7MeQOWmp3LhN3uHLduvYg4Rls8KRCms6mlhhfnBy/Utc6mnZON6F+nb2t2CW+v1277oN0e0AyNChB70fe8979eBwroCucdgKPIqNWFe+BEFViWzP15S+NEPGaY9dejpQtKuLam4223jLFc2qwWBXjb11jnTf+vxpnOcwWcTBLFmUdwOs0YNf0NMPBABhSzM4JkIhGCRg0yuA1ABZ22v+wTIjuHgdWeC64hlvY7G9kl/fUG4mhPLFHA5PXvUx/NPI52vnN0JK9zPGfMtDpKSv3IKbaHC5RSsNvdwLLsj9Yl/673QFM/8zoxS8143W87gtJncrXjfbxsEAAcSU0J87zHNJ01kSOuHxUnW4zWQ3kY2BbVnsP6vtx95Q4evnGByweXyNKXUJ9Vfe+U1EbHqc94iKHyi7jtfF1djOGIPI2JiaqjstGRsb7oV4E4rw8MJ8YrwKTYMrauuIhl7Lo/6D2w8q/OtvTkc34f76A0MElk0VLPcq2pwsqJUXK27Au9h1myzEiAO2UCYgByctHNVnK3xsVxABYl4nHXJ/+HQNbPMsYoHTVCzQASwMvBgKqbvZ41O1fmhkrVlxFAStzDuyebJCIMww7AAZql5L/TEge1JVIXpaXAzm6g1oEGIcoiEChEQFoBqa3C236WstE2JxmkzYk0oF/XmdMx8oSUV/vf2GqlDcrlg0vcfOEmT1IuSEvCTJxO27LggZuRq7EuL7p6lpZ5wTBUBJ/XhOyIgfRBGwafKiuGiJwj5WK1OQZCckaGI8WhtpYTkAfDvbCBJJ3LANTVgLM4baB1jrptjQTKNSsdPVVjqEZLM9aVAeA0DECokcQowEsf0qB1mQY8JdqWsrEnRnedGmk1j1AWIozCpEFElfRCQacHrn6RWDfy9D0rI9FxBIEVb5Lj5Gr4lWJAumHUFSeBGnibixdKo2DM8I0BZa2eez5e9ezz9kJUJfe45FypdwKQlizpFSTeJwIG7jsXYsB8eZBnmfeaL2Ysy8wPpEXPJHVYPMsMap6GoOcYIDzR3telmz3HYt5Z1LQXro2sjibvia3/e/AZkHNll+OeV6UxxraA0OOMLbieXARmtc1Cna6sdjGOuHPnZdy8+QKmsx1TrIfKwDidT7aw6+K1zAvGabRecnwdzjCI1YjQek193nvQ7RfJCrY9iZdzAgEI3XOq+xx5zks50sX+u9gp3a2oZg80IwXZt4JJgnN+gQxA+uNEdywtVwj6nUQ5fU9hP59+DhqjUn6vArxyUZbZdvwtyG/HpXXkAFqgqoYhtFk5jP8geIOquCezM/gp0FHdlQLMhNTUtTNZX1umYpGGWGvh1vVwbEBriY4z3EKISFTJ1B6ll6zP7ZOQcD0msPlclWncWU3lECdM0xlq1E8yl+IA4AzrcrAopq6X6kzzTjONogBc/UIEW78U4AJVd3gQaeuwHv+ae9UY8jh2SKzrjGWdsa6LpQQfbSe6eF253/Du/AzDGHG4OPA5JNJ4485NfN6Pei8+/C8+jLRmJrOcBgZGwr7M0UVYxFEjndrSz19z09ojFyRkoGM95e1h9dVAjTzqOu7bB9klmQcMKMWVQMSug4LP1nMBEus/GajaxlTPBwAltT0stXTC1zUeOd0UFPpyKgVFAvz0flpvzXm1tiPDGA1w5pytllM7UmiWhX5fpEQqAECU82UJPMh1hBCAcUBaNF2VnH7pnjetfxfnwarEQa6sSp8pL5Zm7OxHfRZK4ACd8nT07wPjpdHW6y1nzzieAYEk+1NIVNfU6PxaNsh4KIdKiJSl64Ees18jn1TeBrCpD61S7idL3fK1aDFEpEFTMwasK+ewHx7uOT1hiFzzQcQEQudTpfNNTGFNQAMYbQRUw8d6w9KaEKb6QlqtinuSTGEC1ktyiMGUKdc1VzIhfl643k9rjNQQ0eOmrG1DYmUuBDUA0z9Y1UMui7MqcvHybRXK14gGNeQV88oNjXfDiCEG9v4SSTSyGAlHcc+Ujqm/DgWlfr5S4XRZ7d1Zr0EasTugyXPBAFijjf090xRe309To6qbrIuoCjT5ey2KbpVxpbS6NNrSbF+jEGzYrqWNVgK1QF4L7e35ycdpgjkpIVCNbPIYNK2NPW5a95lStp5yIQbsLy6R82r3vBaNK8tzC0Af17v7VshW5PWdJKUck1y03zPQbP6H9+5yaqu2VOm3e7Kx6OIrxl4AW3glW0rt+flt3LnzMna7G2jSAwVo6JjG3Qjzvjsj5OicOSOMNb1Yr83qlxw4aUBQaBfSnADEbL2Ntwyt4hwkm2CsN2iu+O6qBdSXFWgP4+ZzB9x8dovqyX5fXS8C1JlI1YEIYIUHkO17pLWoNq9ETr+14/aGdjNvgVDWYiBTU83UEPT7AwIKMztwuZcmA02teSqlNGDSN0G/yqhU7gI9t3rZmZqfmnPTVI8xCpvivJ8RhyC2geg8jUiiOIZaR65R2CF7XVzziYEm7/Rk23+OyWG+NKBF0rZO/48hgkLkGu+0oG/Tphk2xaIn8eg9VgDjWbHrM9Ola1Ow9S8o+1gpALW60XSKs4u86BjmeS9G/HHarsoqZStEhLxm3Hr5FtLKTN1RwY2Aw5sv3ML7vuzz8dEf/GhTa6y9JY21W9NgQwWbCgJMv1oKqo65Rjx1uz466BlODSiI/eB18dY7KdPYfN46qLDBMl3/2Jy/UtPz9X9yY6xORQeGvc4gahy0cajtDtOyMhaYPVkij3HdL2aLIUNaHDJnyxCH2iFAWsIUtb9zARUmaczS/sSnPjdzp+RFpGmp7RqeSjIHnY7NXyOTH9V2OWU9roW1+RkJYRmsT21vB4QQsfqWPRShXT1iHDCOnAHqM5PsXMpfEARkZjLAqe9roMg175BntkfZTyhvS2RT6fWtVjMMSBLhTOsk9YDZ0mmVOTGEiMN+lpQafv5SSFLDuXIu+ySRyhBAlLHM/KIr7TPvxxO7zCs/9OMAKrWmhCf22BixdAAAEKBTiqRzUGcAONFUUj23B056rp4x1Tzl7kVvDDD4SGVto1LHzL/1uBWIEVYFR6UY2AWAEPg4uVTgx/tJCm2pLUuY/r8CWw9K9fqWlDC7F0OJhXQegoDGnDNSyXYdeg6famJMrKjz3DPJqqgBqM4BNjAEKJbazkYjlkS1DtOnuek9WgV4eybdYN4//luVnd0/VYYpNx4rA59afie1TdprU0mCokQ31ZNGxN67ed6LQnTAMmesGtUssqiX1ov8mZBHRRCeJ6lOBWeoq2NNQKcaFjm3i7K+t1sOIk8Pr8f0qZJXGfK9NO1Xijaq5jrRGIJFMzV9RsdTCj/Lnqod4JSppg7n6HycdtbX9hjrMls0zfZXAT01btRJ1XynOmcjwqnnrf2DXUQROIpmqvQ1+W39et3maMFWMjS5liCfNTXnom/E1rSxq/NQnYyqh9Txluz+AUO1vawcwOYD1DjIbA5cRMIiQyR7UDVak5Jb4Diaq0YbaRsF9YKX3JCkKEOkzndIEViTrUXsREmmu9SA1Loz7tsKUMTRmAsKG/fyPoy7CWnNiKHto01S/++fBb92XyePAprHzo7WrnjeJDs7bBgmA2gAMAwT4jAirQu0bQig73uf7tm1jXC6TNuJLOvc2GGA3g9n2FLdlzMzBjbcy/G9yaLjrnoutK/nfLi0OtFevB1BxBkgt1+6jZSEOyRwf8dP/cinMO1GnN06Rxwjbr94C5/+6KtIKwOJqHogFOSgIBMoUWyjzEEPX/vuCWRIAE1TXuB1WCnwU6X95iG2VnEkQVdJEAXE9d3HYELbI1k0Mx7rQRuOZHnpcdWZ5J1ZagfWv6khh/PvlOoW7T7BPSgL0qHWU7Jzso2aVsDNui0IKLQygFjrNXmNFv6XpPtL4EUi0yROOWW91auJLiKc3fgV7KvO9SRtPDc1cKFEQgGyRqNz6Ppnwc27XS84kmEtghABiYqa8y2VZm50NBX7RBAlEFUnQKAgkfMgrSrjtc/R48jbUrOpikWbh6e8ghLnGq9pQUhDZUdcF67dHIXFNhH2D/c4u3kGAPYA5ZSZengJ8rBkRIpM2y99ePQlKql63OvLLaRCKWM4m2yhVBbXoUsP8xG1oEYZiqWWWvuP0lLh+99MOFoaAOZ/6/nUAPGLfzVKijHV8nnFg07sJfc0+auQ5VQvO1/TnBImcIpsEVIe37pkzcy+G+UlYtKdfJxqpoZO4fRZjWhy+xG+Vp03vS4VM8iccUbOmPbRTHuSvCLSeQmOTRfEz5vOq0RsYyBE1EhmkHFrVJfnV+Ys5+NzoTQGmRrO1UNfwYJXmprakVJlYzblYSncK6JE7bmtj35PeHjvgS2G6vnlZ3Tpopo1r/7NyTsHJD4riXGEeuEt5VWUvnf21PdXPnfkQL3XWYFhkp5v6hnpa/EeV+nnkhBoqAtg4fqrF154N87ObjYLdPWOA3lNCLvRxjaMUVgCixlACoy9GPmaeu6H0BpL6ukpEpeUhR5ovfN2vG5xBY7LGXxUcSvKcfS3vPtECvra7TQDowf1W0DTly7oeFI+1lE6J6zX9Jx6DTDCJiUHYpZtGzBSyTptmwDHSNhy6+g7clzGmoRMvp2ONmIHAArS05pQCplxGYZgJSj2rG6kf5EaZcK0qd79UFykOGqvuBFxKI53QTz/GULqVyMaWdpDjWcjczMMI4ZhV50hccA8XxobrZZ2ANfXGrX9Nh/txPHbPa/ONQrqNFK7jFskTbtzjOOEtC44HC6O2i+YEyOEBlgS6f2u0Ut1kpqzFH5eW9DDulXGpim0pXV+9/fuKADg1uecMy73D5qIar9fzgnLssc4nmFduHRrvpyttnGWPpUf+r4fwnQ+4T3vfw+Xd4meRQYyZVAClylZFkaNJF7ltGucf7mghFoqwKmP5lUyXQwAJZOxgvv58DWX7IhXsCd+mNDqwGZdyu53qPoanY7MLlOrSJ0i66xitk5PKAcAcRwq+Y/WYst1qr5jv1wNDmVx6GuaahGHZhQbPwzsoFr2C4aRCRzTfjE91q8Vxdna2tqJSGztGBAnXgsZoNb2R6pPOaujq1vWTDepv8xa0gKA1VGwulJtf2L62t8Pizzmukai8sjEYbTuHpzpQVaK6G1RXdtrq5rMThEixGG0iGgpmZ1EUsdpUc5Qexu/WXlbIpu+4Tz/zwtVSgt7yIZJjOcVuXCesiLuHCLygf/f3dg1+wOcqlCkiDqvGevKJEEhikfHP/T68qUMmupDnlPGCr55gyD4lKU+UtI89bxAjbZtGfgMfBj0AG2KlabV0gaQ4igg/00giOMFhRxlP7XkQZzGKtvBRfRSah40QGu4quGnhpG2HQGqgjPF2FyDpgHzfKzJh+9rCqUHyhZxtHkTgNYtBMrgq4CdqKajVXBfmpfZwP/G8fR6IwVQ0OhDVpxXj436fx/dyGJMWzRbX9gYQI5sIgtRVSlFPG9VgYRIWARALstiijqtklKekimBtCSkpbLQpoWjmihVyfrIf86rLbotsHn7ve1PS4n9uSibho0ZTwoyNEq5na6lhk8Fp7J/bt+/NyP2PChgLUxy8dJL78U0nTfXYAsRKTEMGxaU5TOpO6oL8TEBBF9+MVIHf4166fa9MzjUO9s4avJxDzqVrQyU3qO9BTpbUNkCza39mmt4AmdMv8Dr32YsoJ5TnUQE1uMp44iNtmZduIyUR423A8jeoaB6qt7v2nAdqBlBGnVQnWdOvVwkGppbj7kbixKfqfGGXEFBTsXakWl6duPlz+yIgRs7FNgWXiensxHDNGBMOzaIKCKV437DzwoMtvfyaWrjPzdkGEaO/Gk/vlI4uiHr97wccDhcAqhOU32+AgUo4vGzX0pqajnPz29jWfaYD5c2p9fdL+8wC8TEZKo3+ve9Atrj90M5Li4vHzTdEPgkWhXO45gPe5zfvIV14b7vN+/ewMvvewlpzXjtY6/i3qfv4XA54+zmGaazCZ/4oU/U1icd+DU95Fvrhe2etj040M/q957YiywtVC+BqOp8fcfTsrJDq8vaUP0Lx4jbjwVwNZlXOGT8fPP3x+Bf0zGDb5Pi6kA9wFWbSz/TeeXvJfNHMioMhKsdmRI7vIZsDvxSmDgIEGAXAwNVB5RVkpGJchQzxog4SnZHLAi5RmtLhvWobJ/D+k5kVOdeP2c8Hr1P7ZzGITR1m/qchlAQwsAcNzEyXkJAAc9LjKPw5MARP0Haqvh7qz2KA2MtYiddjINkoS6IMQp4HY46IjypvC1gE+iMH1RwlK0xfbIIKNdwDswEtvDkrTM31cXEOcxxCMxMBwEWMWAWAoGshrxPT3AGDhHxvlTZbC0UTzW6CfeyjDE26Vkqvq7w6Jqlrkjbpdi5XUTAg0w7ZilNmmz15PM8ah0QETXYQoflwaACOO/p9l6+xsvUpTAta7LUVzWM/PcKNC2nmwiRAmYHRP05Ofqaj1KIddvotvVeuaJ/l0r6EVBBoxpsepxAVCMJsq9viZL1vqEacxoFJhKCH/ecAjWdxI+3MaQ7Z4YZYxaFT4AsCHGIEmEPGCbC4eLAKbSu2fLlA6aazoUZQ4v0o832u/UIe2X0dokHVSpPy1j2uSj2PgXnlCqawpXabYhQIOEbHBuvpRRkt8+TjGFzXChSyz7hxRffY4QYrD/a6Jc3bPKa2QssxgA3rxbSC3HyqFGQc7bMATOqQvt/0aCmANZmtLmABsfWGMh0p7+WLR17laF2TNTm9tkAj/79vSpa6p1SmkUhw0eg0jgC/fFqRKE9Jzu1AEh2CVVl0mzngWYvgSpojhSAmMF960tleAVZTWXOGYpsBdsBAdbPUMElcBxtZseIXA8qeYifW41uxyg9iR0ZnpcYI+IQLPvD3yslIxqnwYhA0pot3Y1CwO6MiatiHBGHEfOyPzqHB9mPI1eBnas/fz6dbBcX9yyKcX5+m2u/csLl/gGWZc+1myhHkQ8CWVTU1iNr8STlRFKTfnFxz9p0PImeAwAI+OUswzaI4aWma9b3+Padl0EgXO4f2HupacO2PTiaNi8HaGTuUx/+FO6/usONuzfw7i96N27euYF1TQaCDg/3OL91DgqciWclB6420YIf0vanlCJRrdqS7yo9DhzrIxUP1Hxk04SL9Ov2pqPJIhh9j83GXjZgawdozmFpsv053HYhhkZXaFcIA5oucwxCLqb6Su2po3M4h6QPqsCiwdSkyx6dxwFote9sjc6F29NslF6Q2pc58/FXGJtsCAFliEjCL2O6IxQM42CZGtxHVIiyNIsEsPdBa0bPAMsuWIVwk5+ThBgnjDvO+EwpSYu8tb6Tru1NkYi62YrGUMsOEFoDQgnIgX9Hi47ORtyqGQpvVt52sMl599VjViM2CcPAL36Og6XalhJBYJakw+UB09kobU8y4phBidMq8tRGdlIIoOA8PvbC4uil1obRIQQsq9BNE/GTIIbVXAqmYZD93XU5QOlJcGyBFiNJa3J6KnwfzTQvt/sMQMtCSyS1jv0YWG+sXf0N1yAmDCFKemsdvBL8KO0+nMGoAFWvwUdZ1JjTMUWxWtTAG6QGl8dU6zZjCKADG2mBKrujf0ZCCFbDqefykkquFNFOmnRcd5PYoSHR7VwMaCqI9UYcpwTXsWg0VD3/tjg5pRRiREg1+mjnTLrY8ou9HLgeU+uPATSF71o0XoQVbb9/CJRijadTTlZjouk/HHll0MmZA29vVLMa0+HoPr1TRGszdWHsQX+fpgchNem9vir1OBlPFUVxOm4ad3jppfcye12RiJUYhT0g07TXtCZE7V+sUaXIDrgwBJTFRbJCQDPUXGqD7u7Yfp9+DipARU3Rd+lDnkW2JwDSudPvVEfpPh5gFhQjCPP71uhJ6xz0us+n3/fPfGOXdADn6nrRmq2i+nsrMnNVL08liFA9TkU95GTR21wKstZ1OXp9FG1C7lggbfhiHEpKWSkAUrv22ThCG6VRwzkgo0TW58bGPgTEXI0WTU1TgqDCF8Zz7RgmATYutWn6uJsQHu4xjhP3LR5G04mUU/OO9SyqT6urzJZ5TqOcy3KodXIlo+SEZZ1xOFzy3I874+Cwd7YHmmk1kAkAIQwohdcuAGI8Xx8pucqRpPuz46xtK0XgtECf8qepsuO4w8/9Bb8SD19/iO/4jj8vLVCYNFFriRu7MK+Y9wfmDrk44MFr9/GpDwO78x0++UOfwOHygJff9wpuvnATYYi4cfcGXnj3XfzwP/sRJGiNMgMfklppJQmy8V4BZvj9b6PDur2fFj0HRSkl60oWSs5VexnwcPollaazQ38u2e34fqj3sL1BHHHua8UF5KUsWYiZxHnJNtgQhwq4c7Wv1KEJAEHaFgIAxQhas+kUP2beuLXTAFnXYgQimtZMR6BawJ/akNx/unVYqTO5ZIAGidaGqsdKCSgxAkZLFpADk4Kqw6wUZtmmzBimd87qejlMnBp82M+Y9wfTfee3zmtmyJowHxasYUVYZH9rq1N1NjuFCCnpXGuklEmBmNk227uvEU6S8qDHddpdJU8BNqtn93GFIzLRoh/8QCT7UUVE64IYR4SQ4Gs8aSEcLmfsbp5VMCdKYr48II4DpwykjKCpkikbIu9zxktiQqE4RIQiXtNRC9EZaJKAlVIyezDIRTGLGD0CYDWKaEorBERCTcPVsLy7aZKxJg/39kIYHJhstkfdrwdbQ4xYJLwPwNp8jJH7Y+6GATd2E9aUsRbJ45eWKNpDszWEqgeyiFLR+in/0moEYqRo9Z+BIobIXpbdOAJLXWS2Utl0Dn1/UjUekwO+Ohf6W5+HvjeoCjlwaR4fAfhbKYs+cs5eSJeu6pQYMyTyR+qFM0/TKumxa8JaCsYCUyAlF+wf7qUvlHpCCQ9ff8iAsiSJaCasy2wLaxLjzRbGLQvwLZerjf13glgE1y3ecK1p1KnmQR8gjiGX8rflzW68tM6QelzxxxuGCXdfeDfG8cy89zF0RD5gIgS7ttilp+l7OUQDo5na2mYjpwAa48WPO6faqLwxspwOCc6L5kFjNZB4IbYsE3eOqxxU+l1277uv9/RGrD+v3YeN1ytSgMZntdXJIB5lJrir57L7YnqrWPuodMW7q84uoNbA+3ID3SZSQAavNX0LFZ8FoufX1iW2flJNrastLTjq6MdegVp1pun9MuMyFyMrCSFwu601YV0SlsMi22TLStL9lO2Wjb3jtEIAVgOFWAEwP2fcAoDtBU77Kjkih2SEhFvP4tOIli88r8KpjsxmOQwjlnU2YDZOO0zTOeZ5b+BOgb0H9Cn3EceajZMT2wSl1DXtSUX1U4wjclpBgR0OtWegAEhXHjQM3K7pYx/7ADuBcxKiygUpr4h5RKDUgJh53uPGjdtcJzwOmC9nAMCdd93F/Vfv4/LBJfYP96BAuHxwiXd9wbuaeVTxNlIFJ6g1kd6Zb9G4dt/++gnqu6TNbfq1RyNn9Z5U4Oqd6URM6BWl36gHuXre/hzUgTEFa3IWB1zVbi9C8FSQgzrc2/HGGG2d4Qnlz0optRQpZyMaoxCQ99V5r9ljlqqrOt3pA5+xRkQNL5UX4yOwySRQ0B7AwkkSgBDFQavbl4I4EEqRsgKwvstZjinH8ZFbr6/iEDFOI86WFcuBszuVv0bLrvz6pRjIGIsLB1qMHAnOsarR2RC4R2gOiIgSDOTfQxwklTY8ddba2xbZBFBJTRQIanF2KRKtYYudF6q5pmbQaMolJ87DHobBiAbWZWWm2cipN7pdEcCotSdW5GypYAWUM3LiMHYIQRq5DigRGNUYEUWwJCbO0ZrIUc7vPeE+BSEKuOJm3dXrpNt4WnygTQfw/2vKLNcr1GhhW9tT9/Hn6A3dm9MO0zBgiAHTMAJYkHJojqH7q4yRgaO+CGrE9Aaanj/I3IwxYr9UAot5XTGEgDIMR2lhCjL9p2qQwRlZCiyTeq1CHbv3XFt+u8xTyp3RX9rG6Brx9Ua2RZlcWm22tNhsz1TODETTyrTX61KB5jqvlfxHDPacM6bdiHk/YzksWNcKPtKy4nC4kMWwgl1VkJaaVJ5B9Iuv8in3l6Nc0abieRXth6lSo8wtu2FNPef7xn/LvU5rw9Sn39W+f23qOvD4BnNBwTCMePHF92C3u2F1o1r8r95KIjIwqWyylvqVMoor8uC0N63fTOI576Nt9Y/eC99uoP+2z4yzBex7dR7FTt88Dojoo5peNOvEn6sHoKyXKpj1OrevH1WH2gpIfmp73uQAro276FiUGbwCUr82bJ5bHQaFI8B9u61GP6OCYm88xsa64pYOng3YcxOwPqwON02f9pGB3olSckZaVmbvljr2OA4oeanA14y16sRoSDJIGCOdsc6qnw2gYRgxTecgIsxz68wmmvG40jsdHvX9mwFJnwsS44hpYoN2PuwxL3uu2xrYDpvGnRn9QXpnrivPc3v/NXISsa7aLzAIcRnfIw0wPEq8LeOfx1de+QLcv/8q5vnStlWW9nVdmgjrusz4h//gb2NZDnjj3iex292Qsq3ZSriICEGMbQA4HC5wfn4LaUnGQn+42OPs1jnObp6h5IKLexe4+cJNvJDuomce1XHGMdrfR1kfYp9qTbzO31arCbVhVW/7c4RI4tCDvWu9DcjRzza9MiAf9drUMdTaedj2+jdKTRP243D/8DkF9AFARnYEYa6vpTBjE4lDSZwQ3hHGawWgIJmiZJZ1PXpJdFYPEJUcx+srIgJ1zlVPghRj3LwP/picrTFwWUEuKKUFZczurk46jnKS8nyEel8simtlDKwrQwg4v33epL5qIMQTSvq51IzO7GxX1fu99zQOASlFBLetZR5RQAiaRvt0tt3bCDa5n6Z5dtLARal5RcoDsBwkZMsPpqZ8bQn3I0zsgRcyibRwKxSotyJxzdwQhfYY7QLWAw9kcIG0i6Ql894H1yezLureO66i0bjgIpqzK272LT54Vtpx9D0kvbLQF8V6XcJ5+KkS86jEEDBLdFPHeWM34eZu19RN9hE//V+B3SrjGmLY9PKnnJm9Vh7Q3TDY+ZJcRxJjHGAWXH/OXvS69RhqQGkkQK+zlNKk3PbH69OW/bHa83lQmmWsVfnkXFM6ckpIa7bGvUVrCkQhpjXXSOa8Cl06/wb42d2dM9HVIp9rX66cMvYPD7ZtHaAQAWl6ZQdAfLrSZ1reKWDTHEDuXugzUNz7q7IVyczO8+63Y4/94/f+27r3RAF377yCGzfuuNq6GtXk99xRprs0SPP4FjDVPwmLt6SAhxiMJU+vI+SAMAUxRtoFXR0y6vSrY0SXeyrpQ468hz/zZD78mTr4+qjm5vz4rA8HAH3E9Hj+jkExgM26ch2H19V9o20AoNICZHUkGhkcqq5sxi8GnrJoq/TgUlumeIdjdmvIENhpmMBrlK5PCuYBZtBcc7YUVkRJx42w1gA2f53B7OelAQe6LoXqSeg97b1jQo3n+n1AHNRJw7Vf7JGPCGEA0SzAcwIABjfitCOpT+4dQXxsdQBf3yJCx6Hbfjbp3Gctep3cdiujL5MIccAwTJjnvZGNcbZNbWav0rxfAkA5wlMjU/6cV0nrhA/w7Jia6ldKxjwLv4EjpdR911LwT//pf2+fcS2qdkpYMAwDSpFghTjnkrQYSymBZh7jpz78abz7i96N81vnQORMpWEYEHaEB68/NAKsRgdqK4xY3xPfL9PsPZ8JkYvV3ek70vBGdLqzCKGbtVkrxf7Wd8m3HanzaUoVJbQBi5rG2mW21YHLWGpGn7VLUR1AZJ9X/Vff68EBcQ+oGM/ycYaBieuYoLEY86ytpY7kp6TM2Y2BEKaBa2hLDdog8PZqR/Nz6HRXqCzqJPPBkb9iEfu+N/EwDVgOFd/QSABW0305c7prHAihEBJpqq9k7ZXQgkA5P5MSBUy7ERQI834xQkpdpwFgcODS3z+Ay7Wiq98MoQCQiG7gdNucizCNB+upS6Aa1aTPscgmJLWM6zOrwlaFBsCUSBSPGYjcZzVKmdfEXpwhYAj8MHBz6IDpbEJOyermNB1APQUqRrsf26a4anjlUjAoWPH58HDGTqDmoQ1UI5q9IdQCwRrVtEglKkACab1RTSntCTJI3kgiMQjU+wTuy1mKEuoE7MYB59MO2qQ1l4xIhCFEzJJbropO63/4OmsUgc9R7HNNNR5jBZkxBJyNI+aUEAi4QRPWlHBYV6ypzkMmZrXt8+7hrtPX9Q4SXR0hdZsgS3P2i5YnDSqFW5n0hE490Nc59/sCsKim3XN5ppQUIKeMZV6AXDAfFuRVajNdRDMnft5LymZYDyMrzrSsdnyOimYs88E8czw2lwoUQhPxtOcAatzhbZMtb6b4Dd++QXwGpUDqy8VYgRg3em84XWxtPPz8edV5PjLdp0WrYvfzWRfqaiBvA03CrVsv4M7dd5l3GIB4aTmqGcRg0+N7w8czzuq7lZaEYRy4jZTri1bZBHnf4AygCkbVMG/B3dYzxJvxtjoGdWLZth0YVYPGO/9YZ+HKFPmrpE+v9aJ6yQM4W9C17MDVSXrZug4dp16/1l9ynX0+Atj6XXbXZ3MiOpq/5GdqTdXZZs+A/B7FIejXFdN/5mFvryWEgASNkFfjNxNHS2xfSamOMSALk2MpoxlJ67xs9mTlc3K0s/bx5DQwJuAItt6FIcr4Iqf9xgElJyRaxThl4iBaDuYY2eypaGDqyZw7fcuM50lSSkdAM4RgLbxijJItwfpLSX8Omiq9QXqmdknviHuc7BzvwBhHdtSq3v3Up36E74eLYB45eZwu81EezkZhkKy8ISFw6QoJkNXI547OGEQSl7l8bP0ovvQrvxTzfsH+wSV2N3aY4oh7n76HtCapp/NOGAA4JmW0sTiQsLWNbRvIjiWMkaz7qO5fWaerXrUShm5eNcMvdJ/rXKmj0kdsdXpbs63OqyfaaebepdkT14I1el/BU5Y1BmJn6RwOQ8Qg9rtllOl1CMAdxgFLWVgfCVgfp1HmQEnG2vWO54yjeAAwulYnHDmt0d0QXY9Mr7cCZ1UCnJ3GYxusFIYS2RhQirSFAiIqSJQ/zbHAz0/A7nzCMHHLJx/c0GvPKTVMs72zTz8DajpwDM5pOTCopRi4XJEIMQxYaZFrixLB/ozVbL4Z0R4wvDgMwwSl8NUmpMMwIYqHMoQgnzPVOVMQDxingQuG3SI63Zow7fihGsYBw80zHC4ORuU+jLzPMHKqkFIZ6zGIuAiZxxYsAsn1i+rVrt5ggCN0kfTm8O8xBEzjaKmeqqg1/RVoI3cekCp9vBHqQLwqkoarotdsrLlO9AFLAgSnEDDFiN04YAixOScA7MbB2GP1O67D5HThIvVAvq60QGqOIhutOie7ccAYB4vOrmJAK1BM8luBrh57CMG27VN0qZujImPg+0FYZXHZan9CBNtWo6J6vJxr31COCrdRBfPMyZwmcW7YSy4vPXLhdiVF+jlpjabM6bqIURLYS7Q7n4R2e23AYckZh4uDu2bHzglCQQXC7dyEVuu/jdKDBZIUzXeKsHHDBBrecaYtT66KfrDHvE2ptfdWCCu2ojEeqF1noE3TOV566X2ie1wkE1ovxDVZTJ0+VPBANZpUMytq9JI/a9/JIgZP85k3JhW4OGCxNR9+gQWqM68nJVAwmgsa8NYTjemBLAugq5/051a5inSIUPV7kXF5kjc9fy7HEezewG1aLLn9S7c/kY7H1ZrKrkO36A8xYE21BZQSr6ke1nIE/X6I0TGaA6WQAWgAGIe4mRXS6B1N2dJemkfp1LzNdDYixIDLB5dW2lIyEHeRjSnT93LvcmnmJEhbMzWk1Ci3KImtWRGakBnDgBRWTNM5luWAZYmNPr1KvBPnKtkCM8+baF/NYZyaCH3OCWldME672jBeah530xmUpdoDd66f3Mre0JZQVxuwHrAEChjGybYn0tKr1LxjXq5zIKjDQEu70rogj9LSR2hCVfccDhe4efsOp4NGBt1vfOqetDXjdbvkgrRmzPsubdvbMnH7Wu2db8iDjiOXAIMiu1S1FzuCn9LpJj42LMKoTK+e/Kt/N7wzrd+nju+4DrC/rv59i85+9sczp11sybx0uxC5rtA7OpeZHfwWIQy8jlmartRUsrOrIIUkeqqOMwzR1kT7LLLe1fTcGm0Vu3yISEuxe1sdrxVwkqQEU+Jr4QIxjS66iHbeco7wsUIMGHdjM2e2rhW2O7kNVc2qauYsBGtnY44FxRHEqd1Fyhh4fiNKzMh5RIo1lZw3f3oSyLcVbDJr3IRxPMM47uRnks/0/zNME3/OBeoTpmnCOCngDJjOd2YcDWPEIjWcu/Od9YTbne8wnU2Y97OFo4eBEfpuN1iTagN+Es3U9CIiwhRreF/TSNXw0M+5VicYu+E0jlyXWApHXEMlbvA3yx9DHzZNvzUSIJdfPrqUIkDSceVwTeqFpIwNhWuNctHjEnbjgN1YU1wVAO+GwZh09btZgGzK2a5Do6w6b5raqsdR4iGA2YDVWBjkoY2B26KsKTWKSOn7kxjovibV/15JIt+5phqrU2BNCavzOJnC9VWgEgll8Bcwyn7ITOmfsjoAAlYkcFPzgLLWfpgAOy5WqJKOjYdNazJJmuZV456j6sM0crqO9MaK44CYsin8OIygrBFdXpDjMGJIO/G8DpZDPwzisctJamYcun6LxYyAUD3fvdJ+nkWNKPXYaxpZz2qowBOowEe+kF8VpOrn2vLmcaRf5EOIeOnF92KUdELf+05r3DjtsHcU8GLu02OJEU/7PmnWgdXbkayO1GzvAaSmB2lNnz4z/P52qVWoOqFf3Hy0UufOxtnNiYIsoM3Y2DTErjCy9BxLShhiJTnz8906AFqPfv+9ikUT3Tk040KPH8mtMXIVW623+Hh8bVnGCUibFnHCKdC+LtVYj2sA2KXmArUcIgQy8otqsNa1yeYmAEEaoA8TYTrjljvLHgBlq2FTdlk5mdQ8FQOdJDq/UMYwRCSxjrUOjBlRB4BmecYjMrhX5LrOGMcdlmWumVIb0gOSR0U5NaPgeWWj9c4aQkDKNcIxrzNGiF027rCmBTmvWNMCogii9t2BOkmb7I7aNzrn9ZHzXfsGktV+aspu/+w9iSNA11clCioS6SylgHkRxBaa9+JsA5AyaIiY50vc+9Q9vPy+l3D7pdsIMeDi/oWVxAAVPDbOJp8a7r4rpXWGmV49GrP/3eoePw/9bybe4hXIUmlzrRm0MXDaRDO3/vuSavpvwzega0CoOldL3HqdqyRxCpL1mmIMvH64NUJ7XhLxuOIQm4yPNXAWma03I3+3LslSUPU83MYvSRkIYZwGSc+PTTSWx1hbIuq1K+ZYl4wQY1OjbtcXAnbnO6R1xboky9JIawIoIyBYNLo4uy/HlqBJgXUDgmWsaUnIazayKm0PY2nWoY4XqDp6S/3xoy6cCENAzhExl4bhO62cYj7PnyGweZU36dqTxRGjAMtpOsc0nVlx/zSd2e9xnOS7CeOOI5aDgs0hGptnHCOmsx1K4caq82HB2RAxnU0IQ8CN8xuYzicshwXDEDGd7/idiAHjNGKMjj1QHtYxRgM/PrJJIEwCpDRSqQu47hslSqe1NP5Bid2dNqPCpWYBlYzHA9nZEcgYs23hiKGP6vVpUSRAUMGrptHyeRgE6vGWUL3hCmK5L2axFim9t3sQhTDEaMcLobY60YjmuaQUpxgx5oxlXRvGWB9xBIBpiEe1oV5xJiID1ZrmEYgQhLhJxVOB51KE2AkAWMF5kJtyBgZYqi9fAADXCocXBP1qaM4zYuI+mblY2gac8ooxYJhG9lSNEXE8x+GSKeZZWYLTv3NGWmr68MSYgaOmacU4TmBW59pIuOSMJDXOW6lib4XUiFk1+IY4WprTO0G8Z1z/tminRjePQGWNtOm98gtulv2W+XB0vqpz2+iBl7Ozm7hx8y5ySRjDKIAgygI2GLir9y5iUL1m9UGt0VIX62qEVMKLYw984zX3LzJVp16//Zb4z/u00ev2s+1dSutV9ZnewQYcp84CrDsWSYn2mS39+XRbzzTr9Zp+r+fRn+x0oI6pN2LUsdZ/pucuKLKetXPjmWv1MyMe804Kqsy4FslyQFU3pRgQSgHcs1LnrnP0BUKR2s9JaPrHaWyYJBlNts9VSRk0EOZDEa97QU5kDLhX3SfOhJqsCfo4nmFdFwzDiCGOzX5bRnq9jquBz3Xnf15EM8rWZUYZCoY4Yk0L/w4zM5XGiGl3jryXMpDEvdKpe5eU1bLvCQ35bR0INloREZFkuPGzprWVW/dw6348yhmgZJVZ1lZlpFWiIMoFRBHLMmM5zEIKBwG9Kz75w5/EOA04SCeEi3sXWJfj9TenzMCmvpxH7Kx9KZefh74GstHFVxD7HOmQ0H7elE14neEA8pbjWB1BCHWd4OMfZ65QFyAxfeFs417nUZZrkr662ps8dPqGiCTt04PBgChBpGGqz8QwDQYmh6na8CTld3rdaWl7YvuoI/fdbIGo1pHqveMenxCAOyEOlRDVMtxQs4GSAFF/TgZ9rVPTs+XmxNHzh288bMq51JHB+0n5wTggSmmhrtexAFhbpns9v85LCCQOadEDw4iwDKZD36w8Jdh8oj0QhxHjtMNuOsNudwPTuDMqbQaZZ9jtzgVsnnPhtQDK8WzkyGQMBhx5Igm78x0WIbJggztjN+4wTAPG3WjptVqvqd4RIsKNabIUqZ5l1pPeADAgqbIbB4s+BqqpVjGQgTqgEjkAaIBkr1QAYWB1YDaGABoq6Nv0NnnabBd55dQuTlkdJXqprIkanYyhpsF6gEzguqE1JYzDgMOyYM0Zu2HATthkdf8YyGj/9dzae1MN2d0wIJWCQY6h6bQEwkFIjNQwGmNsCXrk7zFGrFK3uawrG5Ga6iARmaEzpHLOSEXJjloDTAF0zkyKgRVSz1qZaom4PohSBtFox/QL3TiNWGnF7sYOcZF+RRL5iYOQIo0R427CeCap3kPEjTs3GaCWS45wjszctoZam5ySXF9OAjLPDNj4McQ0oqBgWd4ejzsrJaXFjpyhME6YxrO3/NyfDXI4XFi9UEorevZD7YmqhpV6zM3Ql3RZoI1+qqf9IF53jaD4xUgBZxtBkAUYhFdf/QiDf2kFUJsya1ptNGIVroUfsduxDiaI1zlUYooYBsRhZCeeROkBGCMziceZI/WsW4YxWgsUH+2zn+AMptCSExngdayAdn0bOjN0BpcZQRtgtNaYHnvvG6DUGWtc71qNKpTWwD1KKXOOhiNQrO+tpJTqPWx+3Bi9ePbBBsh3hsPW2nxkQPVGun3P//raJPXyU6CaDlvU2dBGaXV/PZf9JI1oiae/H6TOi5xnmVcse25mnld13jA4mJc99vuH2O8fGGOqplX638tywOXlA6yp7elYyrGh1f99nSj76vMo87zHvXufxrouBjyNNFHq1PWZXtcZ83zZPFNqeLcAs0aDaz/i1e2XuveEMzIYYK6mF4EKTOu+bUnCVXIc8cuYl4M4rhOW5WDtXrihPVm68OFwYWRI4zjh8vIBXn/9E/jkRz8KJSwqpeDi4h7UiRdCbPRpjBGBYnW6baQQN/qvc8Rs6T7Vpe0xOp3Tbev3tRYs9i5XnXyVc65niu5BYD/fFr1Qgh93LQp6c8oNC2u9t60+r1HVStaYUrKIClGtL4bUdS6HuXYP6NZRD6gr34LTB07HehBYCtekazlMv1+/v3ewlFJZYn3LmTqQcnQ8dnAkXF7exzzvhUE52Vj0efL2O2nJYuByGd8OSN8lb3do/XVaF2sJVErCPB+wSvujpxF6nj10JznJSU5ykpOc5CQnOclJTnKSz4y8MwqsTnKSk5zkJCc5yUlOcpKTnOQkb6ucwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZywlsnuQkJznJSU5ykpOc5CQnOclJnrmcwOZJTnKSk5zkJCc5yUlOcpKTnOSZy2cEbBLR1xDRj3wmzv25KkT0jUT0LZ/pcZzk8YSI/i0i+mEiekBEX/mZHs9nSojoi4moENHwmR7L8yRE9LeJ6Bsec9v3ENHfJaL7RPR73uqxdecmIvoTRPQaEf39N7H/1xPRd342ju0xjv/NRPRNz/q4JznJSR5PHmVrPuk7+iR697NZnkY3PalOfit1+ElYiOibiOhTRPSxJ9zvbbs3jwU2ieiDRPS18vfXE1ESI/oBEX1AFuyveGuHamP5yUT0N4noVSL6JBH9OSL6PPf9X3Nje0BEMxF9j/v+v5P97hHRdxPRL3TffQ0R5W7/r9sYw0tyjDd9k4joZxHR9xDR60T0aSL6C0T0+W/2eN2xv7e7hpWI/spj7HftdRHR1wlw+Ibus++S+fwRIvrdHljIMf8CET0kog8R0S99Ftd4xfh+IhF9BxG9IWP5P3bfv4uI/rTM+WtE9K2PON4vlTE/JKK/SEQvue++WZ4tP8/R7f6fA/gNpZRbpZR/+CauZUdEf1zOf5+I/iER/dwn2P/HENHfkrn4ASL6t9x3j3qHfpa8J28Q0Qc3jn3tPD8P8lboPCL6BrkXD4jorxPR+9x31875I45LRPSfENEPyXv4Z4jojtvk1wL4FIA7pZTfLPv8KCL6q/JsfYqIfrc73pXPzpuQnwbg3wTwBaWUnyTHv0FEf1jO+wYR/d2nOP5jyZbu6sdGRL+se58vZJ9/VY5BRPS7iPX1p0XX0VOM6YNEdOnO9zfcdz+LrlkfiOjziegvyTv8I0T06x5xrje1Jsi+/wER/aA8Wx8hot9LrY7/HTLWlYi+sdv3Udfxu4mdcveIdd1/4r776d2YH8j9+MXy/Y8jom+X56hcM/4vJ6I9OWctVSeYP/Zvc9+/QER/kog+IT/feMWxf6Yc53PKqUBvv37bEdF/QUQfl2f2r3TPwVOvKVv3+e0Wusa+fIx9fwMR/Q9EdCCib75mu/9UnrmvfczjPtH23b5v+fNNbCP+P+U9/hQRfSu165dut6XDr13LrjjfdWtfr28SEf0B+e5RdtNj6YwrxvQoHXvdWvGFAH4zgH+llPLexz3nFeP4KUT092Vu/jER/TT33ecR0V+W8RUi+uInOfabjWz+96WUWwDuAvhaAJcAvouIftybPN6TyIsA/hiALwbwfgD3AfwJ/bKU8nPFwL8lY/x7AP6c2/83Avi8UsodsBH2Lf6BAfARv38p5U9ujOF3AfinT3kd3wfgf1ZKeQHA+wD8CwB/5CmPCQAopfxYd/23AfwQ2jm4Sq68LiJ6EcD/HsD3dl/dAPAfAHgFwL8B4GcD+C3u+z8EYAbwHgC/DMAfIaIf+9gX82TypwH8XQAvAfiZAP43RPQL3PffBuBj4Ofm3WBAuCkyxj8K4JeDx34B4A93m/3u7llJ7rv343iunkQGAD8s13EXwG8D8Gcf5wUXJfWXAPxV8Fzoc67Gw7XvEICHAP4fAP7DK07xqHl+HuWpdB4R/UwAvxPALwTP2wcA/Fduk0fN+XXyK8DP6U8F65JzAH/Aff9+AN9XSikylgnA3wTwtwC8F8AXAPgW+e5Rz86TyvsBfLCU8tB99sfk2D9Gfv+mN3nsx5JrdFcztlLKt3Zrx68H8IMA/kfZ/tcC+EUAfgKAHw/g5wH4959yeD/fnfPnuM8ftT58C/gZeg+A/yWA30lEP+uqkzzFmgAAfwXAV8ma+ePA1/+/dd//AIDfCuD/tbHvo67jjwP40XLsnwLglxLRvy1j/o7ufvw8AA8A/HXZdwHwZwH86keM/w8B+AdXfPeCO8fvcJ//XvDa9sUAfhKAX05Ev9LvSEQjgN8P4P/3iPN/Lshbrd9+I4CvBr837wPwOlod9SzWlOvu89slj7Ivr5OPAPgm8DqwKUT0pQB+CYCPPs4Bn3T7bt+36/n+JrBN8qMAfClYp31jN5ZNHX7dWrYlj9q+0zfvAb8HqicfZTc9UmdcI4/SscDVa8X7AXy6lPKJxzzXphAHU/4ygP8LgBcA/G4Af0XmHgAyWPf+4jdz/KdKoy2lpFLKvyyl/HoAfwfdA/IoIaL/WDwLHySiX+Y+3xHRf07sqf84sUfsXM7510opf66Ucq+UcgHgD4KNrK3jfzGAnw7gT7kx/+NSyqr/AhgBfOETjPmrwQ/Dn9j47icT0d8j9uJ+NxF9zVXHKaV8vJTyEfdRAvBl7lhfQkR/RzwMfxMM5t7MuX4GGFj912/2ukT+zwD+b+AIib+OPyJGwVxK+TCAb4XcDyK6CX4wf1sp5UEp5TvBD/Mvv2Yc/zsi+pdy3d9HXVSFiH4VEf1T4sjktxPR+93XXwzgW/W5BPCdAH6s7PdzwPf5PyylvFFKWR4RcfxlAP5KKeXvllIegMHev01Et6/ZR5/dBwAigO8mon8pn38hEX2beMQ+TUR/0O3za+Sa9Jq/qpTysJTyjaWUD5ZScinlr4IX8H/V7ffziOgfyTPw94jox8tXPxq8oP9emYu/BeD/A5n3R71DpZS/X0r5U2BDe0uum+co7+6niOgHwYbwcyNPofN+PoA/V0r53lLKDOB3APgZYgw8cs6J6N8kon9G7Pn/gwB8RO3nA/jjpZQflmf1dwH4d4kjiN8M4OsA/FbxiH4tgK8HO9X+r/Kc7Usp/1iOde2zI2O56rnrx/yrAfzfAXy1nPu3E9H/BMAvAPBrSymflHN8l9vnZfGe3iNObf3S7pi/n2ok7LuI6Kc/cuY3dNfW2Db2+zoA/6WCdPn/95RSfkR03e+RubxOXiH2ht8Xff7+R2wP4Pr1gYhuAfgaAP+Z6LHvBvDnAfyqxzk2NtYEYi/9x+T5+rvkHILyvL+um4KNji9z3//JUspfAxtfj30d8v33d46I5tidfB2AP++cA99fSvnjuMapR0T/azCw+W+v2uYK+flgZ+JFKeWDYFDcz+9vBvA3APyzJzz2Z628VfoNwJcA+HZ5HvYA/gxkzRD5Yly9pnwpcabFp6lGvl7wJ3/Ufb7K1hS58h19hN49kuvsy0ddRynl20opfxHAp685xR8E8B+BHfiPI9dt/yjddN3zTUT0B2Re/hkR/exHjOO67b8EwF8Ue+QNAH8B7bMBXGF/4vq1bEueZPtfAuATAL4DeCzsca3OIKIfTTUy+v1E9L/S7x6lY68SWc//JoD3yTr2zfL5T6OKD36YiL5ePr9uff0pAD4u15hKKd8C4JMA1Pn38VLKH8abdOg8y5rNbwMDOwAAcQj2upTJ94IB1OeDF5E/JoYIwMbSVwD4ieAJ/3wAV6VV/Axcvdj8CgDfUUr5gP+QOIS+B3ts/jaA/8F9/W5igPsB4lD2TbdfBHvPfgNYkfhjfj7Ys/tNYO/cbwHwXxPRu66aACL6IiJ6Hew9+S1gT4LKnwbwXeA5+h3gOXoz52oW6CvGceV1yfc/CcC/BuC/uOoYTvz9+AoAqZTyz933341jReLlX4Kfo7sAfjucZ5CIfhGA/xj88L8LrAS89/T3AfgVRDTKs/TVAP4b+e4nA/h+AH9SlP0/IPbGXiU/VsYKgJUBWGH7CM+vF8XxXSSpXaWUg3jFAOAnlFK+VOb3rwL4EHhR/XzwYgsi+nfAC/qvAHAHbIgfLTZE9B459/fK/18F9oD++wBeBkdh/zIR7bC9IBLYmbAl171DW/L7cPU8/xpwBOIrwc/ML3mC436uyZPoPEJ7X/TvR0YOiOgVMDD4P4D1wb9Eu8htHXsH4MtLKV8PdgBpFP6/Ab8LHyQuOfgUcR3S/7QbVz/2Hydjue65a0SAwK+DRE1KKf8pOPvhQwB+u5z7e/TdEflDAPYAPg+8UPcG/j8ArwsvgXXknyOis40xQ8a7qbuuGJvf7/3g9+K/dB83OgGP1mUAO61+B/i+/SPwvfDyrcQOqL9BRD+hG8NV6wN1v/Xvx80s2loT/hqALweD0P+xHydxScE9sLH3E8D3/bHkEeucOhgfAPgRADfB97U/xg2wLtnKNLrqvHcA/J/ARvNV8iHitM0/Ie9Zc4jub5tfeT5+lRz/eZVnqd/+OICfSkTvk3v5y8DPnMrvw9VrCoHBxvvA2RBfCAeCH+M+X2drAle8o4+hdzflGvvy2ut4jOP+OwDmUsr/+xltf6Vueozn+98AO0ZfAfCfAvg2cmVGT7j9HwLw84joReIo2i+GezYeYX9et5ZtyZNs3zsbe9mymzZ1huCIvwnWbe8G8O8B+MPknHqPoWOP1gpZz38uakbm1xPRF4Hn7w+A7eSfCL6/wPXra/8ON9fw1FJKeeQPgA8C+Fr5++sBfOfGNv9zAMtjHu9rAKwAbrrP/iw4ekTglLIvdd99NYAPbBznxwN4FcBPv+I8PwDg66/4bgTfpN/kPnsvgH8FDMK/BJzW8Ufd978JwB/Zmgew9+hPdef4dgBf9xjz8ZLs/5Pl/y/amJ8/DeBbnuRc4JD+PQBf84jzX3ddEawsv1r+/9sAvuGK4/xKsMHwivz/0wF8rNvm1wD424/znMj2/wjAL5S//xqAX+2+C+D01vfL/z9F7vkKBs2/3W37x+SzXy33Xj2hr1xx3v8WwK/rPvuwziWArwIb2wOA/wXYq/9T3bYFwJe55/eTAIaN83w7gN/4iDkYwQuvfxb/CIDf0W33/eAUpBGs2H+r/P1zwED525/kHQKnU31w4/Pr5vlv+XmTc5eta/9s/sGz13k/G7yI/HhwmusfBXsv/71HzTnYEfH/df+TvGffIP9/A4B/DnZk3AVnDxTUd/abAXyT2/9vgFMQfy6ACZy6+4Py97XPznXP3RXX3cwd2FlUwEbWJM/rA7DxFWVcP9pt/zu35t59/xrYqbP13bW666r7Kt/9NnR6ChyV82P7crkWuuIY3wzgz7j/b8kxvlD+/6nyLNwAp4h9DJzW2R+nWR/ks+8EGxNnYF30KoDvf4zn8JFrAjiFqgC4u/Hdl4MN1PdufPctAL7xmuMeXUf3TH8l2MF4e+P7Xw7O7Diaa7BDumx8/vsB/Efy9zdC1k93L/41sP5+Dzgy/O3dtXwbOOX4y8BA4+C+/0sA/t2t9+tz4Qdvs34DO1L/K3muVgD/EMBLbv8r15SNc/0iAP/wMe/z1+AKW9Pdu813FI/Qu/9/9t47XrasqhP/rr3PqaqbXuhAN3RDtwgiNAoiSQVpJQgoo6KggAJG0OGnjowJEzgGVMY4g2kQEFTQGcSIogxZcDCCoIhINzSh6fTCTVXn7L1+f6y19t7nVNW994Wm+70+6/Pq3aoTdt5rr7z2GY85+nK/fhTXfxzAy3rX1iEm6J/Wn78lZe/5/F793m9963r5GIq9COD/Afj6JW3Z83kI8/1Xul4ihCkb6b39cPjSs2xJWw70PIQGDzZ+C8qZo5uwB84A8DUQxVdZxq8B+NEFZc/hWOxxVkDW+HXFsz8A4A8WlLvn+QqhZ49BGOEawmxHFHSnPldB9uiVB8EN9jmbms3LdPAPCrdwV7J6LWTRXQwZ0L9TFfAxiJ1wR2tHRPeAMB/fycxv7RdO4th6KeQQmQMW86PXAfgSUt8AZv4EM7+PxWzxQxCC66u1vLtAbKh/cFF5ELvpJ1mbtd0PA3Bn6gY6mNMgMfPNEIntH5L4TN1lyfjsW1ev6CdC5uTNxbj8atGW5x2gX98O4N3M/I4l963crwDwQgCPY2YzddiEHDIlHIKaW1E3mNPT9NrTKZvoHYNIVUzifAWAXyzu3Qw5AC5TKdmfQyRxE8hh8SVE9O367g6EiH+Jzv2rID6RX7BkfvZsOzP/PTPfxMwti+Twt6HmBgvgrgCu5Wxe07/3wSXvgYgcxAx8BtE8G1wB4Lm9NXBXAHdh5gZykH0pBCk9F3LAdqLy7beHlrRnv3G+C2RcDa7F+QsHxnnM/AaIRPf/QMbkGshaWhopsYDOmLJg/HKMfxNCyL0JIml9o15fVvYO5IB5HYvJ24sgB829D7B2lq476gbYeR0Www7kwPtxFtP7N2t7HwPB8earbNBZP0T0XBKT8+Na92EofqBuYIe74YC4awk8HfNatD5OOARgk5lZcanVXUrgy3nbhKyXu+jvtzPzDovZ1U9BDvo5s+AF5wMgWolP0/J/BYJ/rtNx6OD4XnGLzgRPRC8kcV84AVmbQM91Q9vyAcga6/uv7wtL+mH3mMWtYQfCcPbhGdhby9ABIro/RHDz80vassnMf6v4+3oIbn0M5cAk36Ft+QCE8P5d5PF9AoQhfvVB2nIOw9nEb78COS8uhGivXwPVXu13phDRnUiCnn1U1+crkff8/bHHPCssozUNlu3RPfEudYNudfbtIvpyr34cAF4AUTB8qH+DxHIg4b79nt+v3wdc3x/t7cVr9d1ltO7C5/X770OEpRsQnPpBZD/K/XD40rNsyXm09PleuU/X5xaN9zK6aSnOgJybD+mdm0+D8CgdWIRjD3pWKCyjKfc8X5n5JojP9XcDuB4ibPorHIxG2Req/R85MHwl1Lb5gHCUiNYKJHA3AP8MkY7tALiKxS9mDkhU/H8FkbC/YtEzkMPpNbqJ9oIKPb+gAhhZrfxgCDP3PpIAhCsAVkhCDV8GmcBXMPO3LClrfcn1sh13gmy2j2Px+Nhm3a8ug7kDmpmfDTEfA5CYxL369UgAjyCix+srFwD4HCK6PzM/R8t4LIDfAPClzJwi/0IQSEVE99QNBIh5wHu1LZ3oqjqvv6F1voOZAxH9I/IcfATipzQXRZaIHggx2TWzt+uI6FUQreOLAbwbYlM/B4ow+vPzXm2rlX93iGniv2ExlGulDx8BcDciqhYwnB/BkvVHMiEvgUjeH6+MQPneTzDzTyxsjPghPKIo669REM8H3EOL4O7Ye5w/jq4P9N1OoexzDU4J5zHz/4SYsYAk4M4PQXDeftAZU10X6TczRwih96N6/zEQLfxC/AnZC0vNwfZZO3uuO8ybiS6qexncANFC3BXZTyitHyXovg+CH97LzJGIboHuO87m6/b8vrhrERCRBVrqCyoNJ1ialBKX/SREStyHct7WtQ0fW/AcsDcOKc+Hm5n5Woi5upX9O9auPo7vwSKm7akQIuNRECbhMERjvFdblp2Z+0GnHwcpmyTa4tU4tWBMV0M0/R/Wc20dgCei+zDzAxY8b+Nha+lmCDFobfhJ5Hl/JIAHUk4zcBhAIKLPYuYvP4U23t7hbOK3+wH4QR1XkET4/DESU9UrsfeZ8lOQ+flsZr5JaRaLeXA19p/nZbSmwbI9uh/ePUigw3I979WP/eCRAC4vhLoXQwIG/jQz/zTm6Zf9ngeW9/sp2H99X0ZEVOCRuwH4oyW01NLn9fv9AHy7zY8K695W9GMvHL70LFM6sX8e7Xn2FfB0iPKkA3vRTfvgjI8AeDMzP/oAdQP749j96M0HL7i+5/kKACr8fRAAqEDwg5DYBGcOfAD1J5aYXEDUsp8GMefZBPBZByzvau30iyCq7IdDTGc/U+//IkSafif9fRkkop19/yAk0Muy8lcgnP8X965/JkR9vgJRE38dRGP0gKJdd4NM4l0hEveX6r0xRAphn++E2ORfqvfvCtEEfImOy0TLu3xJG58I4F4QU9CLtb9/X9x/ZzE+D4OYPr3yoHVBomy1KMyRl7Rjv34d6d3/a4jk47De/2KIj+EXLin/VRAJzxpkkx+HCBIWPXsfiD35vbRf36B9MHPBr4QcElfp78MAnqTfD+mcP1XH9FIA74AQxoAgqVsgxJaHaKxvxnIz2qt0zB+ubX8lumYnXw1Bqg6ilTmJwjQNXTNaD/HvepGWNYGa3AJ4EgQ5fC5k3d0D2Sz4V3UdrC9o3wP1vYfoe2sQbdSG3v9srWcV4if1IQDjg+wh7dMEsleu1e+jA47zt0EiUF4Oid72BpxHZrQ4fZw3gWjpCYJj3gTgJw845hfp+noi5BD6TnT3xQWQg4kge+ifIQF4rOyXoWsGdS+I+fmjtD//RdeD1bfX2tlz3S3odxo7/V1DzOV+WPvyBdo3w/2vhuCMVe3LdcXYPx5CDF0KwYs/AjF1WmhOhv1xV6dtxXu/DmHI+tefDYnWfRmEGX0veqb2vedfBsEhD9P2/jyAv9Z7d9O+j3SsvwdCDFyo9/c7H+4N0QSMIOfYjQAu3mcNLjwTINqDf4Ts7TUIgV/ir29GPovvo/3+ud6cTiCuHj+u3/1+/dBrz4LgCYIQSB8H8B299j0PwFsW9Ie0rvtoeyfI63S1N/cvgggPLtb7DynadSFk3b2xKPvT9bqH7Mkbkc+djV7Zr9a5vWCv8b89ffCpx28vhWg9D+t6eR5E2wXsf6b8HkQI7SF77+1Qs8EDzPPV2JvWfBmW79E98e6CMdiPvlzaD71f6Tj+FMSaaQI9N3Utlv38CIR2mKMNDvL8Pv3ec33reml1PGot9wQUdy1oy57PQ+jsX9ZxW4Hgn7frvSPYG4fveZYtaMu+z0NMurfQO9OwP920H864FuIOUOvnQRBrImAPHIv9z4qr0V1Hd4Os2ydD1tSFAO6v95aer3r/c7RthyB+1G9fsM/XIPj2XgAmB8Y5p4mYAgQRbekAvtwGrXjnvQCetqS8q7WTP6gT8mEU9t7aoZ+E2FKfgBzw36H3flQ7ull+euU/RdtFvev3hjBSJyHI7V0AvrK4/90QbcA2ZHP+cn/B9TbQ23rXHgIxT7pZF8OfArjbkvf/PwgRtwVhHF8FZTL0/t0hUsVNiA37/0DXF2HPuiB2229dVPc+cz3Xr979N6FrM/9GCCIp5+N1xf0LALxW+/lhAE/dp/6f0D7dCODntI9lfV8P4D26Lj4C4DeLe1+sc3pcx/Q3AKwW9x+u725C/AAW+voWzz9V27wFMYsofUzeqvWcgDCSX9t7NxFrBQJ4LYQxvxHALxX3ng3xe9uEMAqfAzG7YAjzXY7t04r3Hqv9PQYh0n4fmdn8WQhzvQkx+SjbsuceguxP7n3edJBxhiC3n9d+fgjAf8b5wWyeKc47ApGq2n7/KShBfsAxfyxEq34cggvSvoAEjno/BG9dC+C7e3W/DD2fMggB9e+6ft+EQgC019rZb90dBJ9ABDnv0LF4H7o4+GJIMK0TEKnwf0OXEH6J3vs4xM0hzdMB5vRN2MdnE3L2HAPwyAXvEyS4zc36+Rks8dcsxv1XIfh7ExID4NOKMbD1cBNEKPPA4t39zofvguD9LYgW4IEH6P/CMwEiNPtDyLl4LUSqn/AXhFG4Xuu6RtfHpNfP/tp95n79gDAWf65juQlZ38/rjylECv9NC9p95YJ6r1nS9+eje34+pWjXxyGBoEofqSdDBBvbEEb8S/aZ53PdZ/PWxm8XQrRMn4Tsr7cBeHBxf68z5SpIsMRNnYvnoiCu95nnq7E3rfkyLNmjen8p3l1Q93705Z790Lb31/Pz95u/U53vg/R7r/Wt6+XtOh7HdXwes0fdez4PEW78MQQP3gzBCfdcUtab+uOPPc6yJWXs+TzEl/IVC97bj27aE2dAmLM/heDtmyDxLe6v95biWOx/VlyN3n6A0Lp/g0wnP0OvLz1f9f7v6hwdhzCmd+qV21+ffNA1SFrAAAMMMMAAAwwwwAADDDDAAAOcNTibAYIGGGCAAQYYYIABBhhggAEGGADAwGwOMMAAAwwwwAADDDDAAAMMcCvAwGwOMMAAAwwwwAADDDDAAAMMcNZhYDYHGGCAAQYYYIABBhhggAEGOOtwh2A2iehKIuJ+Iuklz15NRNcVv99LRFffmu0bYIABBjgTGHDcAAMMcEeCAecNMMC5A7c7ZpOIriGimSb7La//oyKWKz+V7WHmq5j5TdqG5xPRK89W2UT0YCL6MyI6RkQ3E9H/I6Jv0HtXE1Ekok0iOklE77d7+5S5pu/82dlq50GAiN5IRDcQ0Qki+ici+vLi3pcS0du0n58got8goo09ynoYEf01ER3XcXk7ET3oVm5/Od72+eMFz72uuN/oWrXfv3prtrHXDiaie5zC83cmoj8ioo/dFvtogAwDjjtncdw1RLRT7PfXF/e+iIjeo/28iYj+gIgu26Os2wrHMRG9pnf9fnr9TQveeXjR3y19rsSRd+u/cyu1/ZTXJRE9h4j+loimRPSyW6lpAxwABpx3buK8ov5H6Dz9eO/6xUT0O9rXW4jot/coY6Dr9m/veUvX3e6YTYUPQfJgAQCI6LMgyV7PGyCiz4Pk2XkzgHtA8lB9GyQZrMHHmHkdkmD1vwD4DSK61z5FfzWAKYDHENGdz3rDl8N3ArgzMx8C8K0AXlnUfxiS7PsukFxUl0PyCM0BER2C5AH6ZUiOzssAvADSp1sbPsbM68XnCf0HmPlxdh+SN+xniueffZBKSOBTvfciJH/VV32K6x1gMQw4TuBcwnEA8IRivz+muP4+SF61IxA89wEAv7KogNsYx90A4POJ6MLi2jMgue/mgJnfWuC7q/TykWIMPnyQSukA2qdbAT4GOXd+8zaoe4B5GHCewDmF84ioBvCLkLyNfXgNJC/qFQDuBOBFS8oY6LpbB84Zuu72ymy+ApJY2uAZkKTLCYjoMBH9Fok27Voi+iGbaCLyRPQiIrqRiP4DwJf23v0GIvoXlSz9BxE9a1lDVCL3KCJ6LCTh9NeotOOfiOhJRPR3veefS0SvPUAffxbAy5n5p5n5Rhb4O2Z+cv9BvfdnkIS3n71Puc+AJOt9N4Cn9dr2ACL6B+337xPRq0tJFRF9mUoaj6kEar+6yja+m5lb+wmgBnBXvfc7zPznzLzNzLdAEjZ/wZKiPkPf+V1mDsy8w8yvZ+Z3F+38Rp2/W4joL4joCr3+fUT0TiNsiOjbSMxlJgftx+kCER0loj/R9XiLfr+8uP8mIvoJIno7JOnv3YnoMSSSzeNE9GIiejMRffMB+vkWfeSfdC1+zX7tY+brmfnFkETTA9z2MOC4As4FHLcX6P76WHEpQIjNRXBb4rgZgNcC+Fp930OSkS/VSCyDvdYYqdmitvcTAF5KRCtE9HLt078Q0fdS17TxLkT0f3S9f4iIvkOvz63Lg7SPmV/DzK+FJEIf4LaHAecVcA7hvOcCeD2Af+3V+xgIjfc9zHycmRtm/oclZQx03f79PL/pOma+XX0AXAPgUQDeD9GCeQAfgUhOGMCV+txvAfhDABsAroRIZr9J7z0bsjHuCpGivFHfrfT+lwL4dAAE4BGQRfIAvXc1gOv67dHvzwfwyuLeGIIo7l1c+weIlOFhAI4t6eMqhBj5oj3GIbUDIhT4TxApxufs8c7d9Jn7QBDEu4t7IwDXQjSQNYAnQgiPH9f7DwDwSQAP0TF/hvZ9rPdfDODF+8zdnwDY1bH+cwBuyXO/AOBVS+4dghAHL4dIA4/27n8FgH/XtVEB+CEAf12M01t0nu4J4JZyvCCI+qn7jfcprNWXFeN3oc77qq7J3wfw2uLZNwH4MEQ7UAG4GMAJnYdK56UB8M379VPvM4B79NpzDMDD9mlzhWIfDZ9P/QcDjkO/HTgHcJw+ez1EO/h6APdb0LZj2r4GwDOXlHOb4jgAnw/gb/Ta4wH8BYBvBvCmfdbtlae4xloAP61raAXACyEan6MQ65Z39+b/7wD8iM7j3QH8B0RbDPTWpV77fgB/coD99uMAXnZb7/s78gcDzkO/HTg3cN4VOgfrKOgdvfcjENzxSgg+exeARywpZ6Dr9umn3j9v6brbvAELBu0aCFL6IQA/BeCxAP6yHEzdNFMA9yneexb0sISYMTy7uPcYFEhpQZ2vBfCdixYn9kBKeu1XAPyEfr9KN8J4nz5epu35zD2euRqCYI5pXwOA79qn3B8C8I/6/S76zufo7y8E8FEAVDz/tmJT/QqA/9Yr7/1Ygjz2aEMNQSb/Zcn9R+sYfcYeZdwbsuGvgxAsfwTgEr33Oujho78d5FC5Qn9fCTko/gXAD5xCu8vxts+T93nnZSiQb+/e/QHcUvx+E4AfK34/HcA7it8EOXwNKe3XzzmkdMB+3u6R0vn+wYDjULTjnMFxEGuMFQjh8QMQ87EjC567AMD3AXjoHmXdVjjOCN0PALgXgFdBNCWnzGweYI3NAEyK+4l51N/fXLTnIQA+3CvvBwC8dNm6PIV+D8zmbfzBgPNQtONcwnl/COBr9PvL0GU2f137+00Quu9rtV8XLSlroOvuwHTd7dWMFhCTi6cCeCZ6phYALkKW6BhcC9nsgGzIj/TuJSCix6la/mYiOgaR7nYc108BXg7gqUREAL4ewO8x83526LdANsB+tvcfY/EBOgTglwB88T7PPx1qDsVi0vVmiCQLkDH5KOvKVCjH6AoAz1VTi2M6LnfV9w4MLKYUrwPwJUT0n8p7RPRQAL8D4KuZeaGPkJbxL8z8TGa+HMB9tQ2/ULTzF4s23gzZ0Jfpu9dAJJ5XAvifp9J26HgXn9876ItEtEpEv6amPycgkrgjaqZmUI53Z43qvFxX3N+znwOcFzDguHMIxzHz21nMv7aZ+acghMvDFzx3M2TM/pCW+CrehjjO4BUAngPgiwD8wekUcIA1dgMz7xa/+2u2Pzd36c3N8wBccjptG+B2CwPOO0dwHhE9AcAGM796ySM7AK5h5pco3fcqrXuhi9RA1wG4A9N1t1tmk5mvhTiUPx7ihFzCjRDV9BXFtbtBJDwA8HGov2BxDwBARGMA/wfiyHyJbvo/g0z4vs1a0M53QiS4D4cg0VfsWwjzNoB34IBOvYrkvg/AZxHRVyx6hog+H2Ji8AMkEV8/AZEWP0UJno8DuEyRp0E5Rh+BSPLKTbnKzL97kDYugApi0mLt+xyIJOsbmfkNBy2Emf8VImm6b9HOZ/XaucLMf631PB7A5wF4A5YEIbqV4LkQTcFDWIIkfaFeL8e7XD8fh5iSyUMyL5cX9/fs5wDnPgw4rvP8uYjjGMvHtIIEzDi0byG3DY57BYBvB/BnOlenBAdcY/211MF5mJ+bD/X6vMHMj19S1gDnIAw4r/P87R3nPRLAA4t6vwbAdxHRH+r9d+M09+VA193x6LrbLbOp8E0AvpiZt8qLzBwA/B6AnyCiDXWw/W6I7Tj03ncQ0eVEdBTi22Ewgtjk3wCgJaLHQcwxDgLXA7iS5iNO/RaA/wGgZea3HbCs7wXwTCL6HtLIgCQh6F+16GFmngH47xA7+UXwDIhZyn0gqv77QzbyKsSs9R0Q84vnEFFFkprkwcX7vwHg2UT0EBJYI0lZsjRFiQERfaZKFVeIqCair4Nsyjfr/ftCfDj/P2aeCzu9oKznkjphE9FdIRHs3qmP/CoE8V6l9w8T0ZP0+0UAXgIxz3oGgCcokvpUwAZE0neMiC4A8KP7PP+n0ENGD43/DODS4v7SfipcD/FrOjCQONSP9eeYPgUO9gPsCwOOU7id47i7EdEXENGIiCZE9D0Qrcnb9f4TieheROSI6GIAPwfgH1TL2S/rNsdxzPwhiF/bD57quwqns8Z+D9KvoyRpYZ5T3Pt/AE6QBANZIQkGc1/KqRGWrculoGtgAjHP9Dpvt0VU3AG6MOA8hdszzgPww5DAPlbvH2l5lqrlDwAcJaJn6H79aoiG7u39gm4POO80YaDrzhbw7cCWt/ygsKXvXe/YJEOCDLwSglw+Atmsrnj25yEOyR+CTHiy7dff10PMoF4B8VsxG/ersdy2/0KIPfwtAP6+eMYcuF9QXHs4gM19+vpgiA33cYg6/W8APH1RO/TaKkT694Te9Ym26QkL6ngxgP+t3x8I4B8BbEIcnV8D4IeLZx8LcfI+BpHQ/D7EjAKQTfKrS/pxb237SX33XQC+srj/Uh2fzeLz3iVlXQY5VD4KYEv//hqAQ8UzXw/gPRBH7I8A+E29/pqyjRBk/DEAF+rv9wJ42pJ658b7AGv1ZcW6uQvEfn8T4lD/rN6aexPUbr833v+m8/9iyMHx9fv1U+89W+foGNQHQet++B7t5f7ntt7vd8QPBhx3LuK4qyCS/C0d8zcAeGBx///TediC+HK+CuqHs6Cs2x2Ow+kFCDrwGtNra/rcMYjv1Q8B+GBx/y4AflfH7xYIIbp0XULMbF+3R3ufj3mc9/zbev/fET8YcN45h/MW1Pky9HwZdTzeo3X/LZbQH7gd4ryD9BMDXXfWPqSNHeAMgIhWIBG/HsDMH7it23NQIKK/gWzil97Wbbmjg0pVr4MgzTfe1u0ZYIASBhw3wNkGIvo2AF/LzI+4rdsywAB9GHDeAGcKA12X4fZuRnuuwLcBeNftHSER0SOI6FI1t3gGJLfTn9/W7bqjAhF9CREdIfE3eR7ED+Cd+7w2wAC3BQw4boAzAiK6s5oiO5Ik9s/FaQYnGmCATwEMOG+AU4aBrlsMg//CGQIRXQNZTF9x27bkQHAviCnDOoAPQqLCfvy2bdIdGj4PEp13BOB9AL6CmXdu2yYNMEAXBhw3wFmCEcR07tMgZmKvgpiZDTDA7QoGnDfAGcBA1y2AwYx2gAEGGGCAAQYYYIABBhhggLMOgxntAAMMMMAAAwwwwAADDDDAAGcdBmbzNgQiej4RvXL/Jwe4NYCI3ktEV9/W7RhggPMdBlx328KA6wYY4FMDA667bWHAdbdPGJjNWxmI6KlE9LdEtElEHyei1xHRw27rdgEAETER3eN20I5nEtF7iGibJIHwrxDRkVu7Xma+ipnfpG0YDogBBjgDGHDdgdox4LoBBjjHYcB1B2rHgOsGSDAwm7ciENF3A/gFAD8J4BJI3qYXA/jy27BZtysgoucC+GkA3wPgMICHArgCwF8S0ei2bNsAAwxwMBhw3f4w4LoBBjj3YcB1+8OA6waYg9s60ef5+oFssE0AT9rjmecDeGXx+/chCa2PA3gLgKuKe4+HRLY6CUmI+1/1+kUA/gQS3e9mAG+FJkE+QBsZwD0WXH8TikS1AJ4J4G29954N4AOQpMP/EznYlAfw3yFJij8E4DkokuD26jmkY/Tk3vV1SH6rbyzG6X8DeLX2/+8B3K94/vshUdhO6hh9Za+8b4EkEbf7D9Dr1wB4FCQJ7wxAo+35JwBPAvB3vXKeC+C1t/XaGj7D5/b0GXDdgOuGz/C5I3wGXDfguuFzep9Bs3nrwecBmODU8oi9DsA9AdwJsvF+u7j3EgDPYuYNAPcF8H/1+nMhSWMvhkjZngdBAiCiFxPRrRVa/ssAPAjA/QA8GcCX6PVvAfA4APcH8ADsHTr88yFj9JryIjNvQsbi0cXlL4cg7QsgYaVfS0S13vsggIdDDoIXAHglEd0ZAIjoSRCk9nQIEvxPAG7q1ffnECnlq5l5nZnvB+CPAHwaEd27ePTrALxij/4MMMAdEQZcN+C6AQa4I8CA6wZcN8BpwMBs3npwIYAbmbk96AvM/JvMfJKZp5CNdD8iOqy3GwD3IaJDzHwLM/99cf3OAK5g5oaZ38oqrmHmb2fmbz9rPerCC5n5GDN/GMAbIUgIEAT1i8x8HTPfAuCFe5RxEZaP0cf1vsHfMfP/ZuYGwM9BkNlDAYCZf5+ZP8bMkZlfDZHMPVjf+2YAP8PM72KBf2fma/frnM7BqyGICER0FYArIdLGAQYYIMOA6wZcN8AAdwQYcN2A6wY4DRiYzVsPbgJwERFVB3mYiDwRvZCIPkhEJyCmAEDemF8FMbm4lojeTESfp9d/FsC/A3g9Ef0HEX3/2evCnvCJ4vs2xEQCAO4C4CPFvfJ7H27E8jG6s96fK4eZI0TqdxcAIKKnE9E/EtExIjoGkRDauN0VIiE7HXg5gKcSEQH4egC/p8hqgAEGyDDgOoEB1w0wwPkNA64TGHDdAKcEA7N568E7AOxib3ODEp4KMSl4FMRs4Eq9TgCgEpwvh5hivBbA7+n1k8z8XGa+O4AnAPhuInrkGbZ9C8Bq8fvSU3j34wAuL37fdY9n3wFgCuCJ5UUiWoOYbLxhUTlE5LSOjxHRFQB+A+JDcCEzHwHwz9BxgyCzTz9Au3nuAvM7ITb/D4fMz2BqMcAA8zDgOoEB1w0wwPkNA64TGHDdAKcEA7N5KwEzHwfwIwD+JxF9BRGtElFNRI8jop9Z8MoGZIPeBEEIP2k3iGhERE8josNqbnACQNB7X0ZE91ApjV0Pp9DUERFNio8H8I8AnqhtvgeAbzqF8n4PwHcS0WUa5vr7lj2oY/QCAL9MRI/V8bkSYsN/HbpI4HOJ6IkqLfsuyFi9E8AaBKHcAABE9A0QCZjB/wLwX4noc0ngHorI+nA9gCsV4ZXwWwD+B4CWmd92oBEYYIA7EAy4bsB1AwxwR4AB1w24boDTg4HZvBWBmX8OwHcD+CHIpvkIRFLz2gWP/xaAayERyd4H2XAlfD2Aa9QU49lQm3OI4/lfQaJtvQPAiznnGPpVIvrVfZr5XgA7xecbAPw8RPJzPcTk4LeXvj0PvwHg9QDeDeAfAPwZgBZLECUz/wzE+f1FEKT6N5BxemTPtOEPAXwNJEra1wN4ovoyvA8SJe0d2t7PAvD2ovzfB/ATEOfzk5Cxv2BBU35f/95ERH9fXH8FBMkN0q8BBlgCA64bcN0AA9wRYMB1A64b4NTBwhoPMMCtAkT0OAC/ysyLpE4HLeP5kFDeX7ffs2cbiGgFEq77Acz8gU91/QMMMMC5AQOuG2CAAe4IMOC6AU4VBs3mAGcViGiFiB5PRBURXQbgR3FqYcJvb/BtAN41IKQBBhighAHXDTDAAHcEGHDdAGcKB4qoNcAApwAEsdd/NcR8408hPg7nHBDRNZD+fMVt25IBBhjgdggDrhtggAHuCDDgugHOCAYz2gEGGGCAAQYYYIABBhhggAHOOgxmtAMMMMAAAwwwwAADDDDAAAOcdTjvmU0iejgRvf8M3mcNEz3AAAMMcLuFAdcNMMAAdwQYcN0AA5xbcM4xm0T0A0T0Z71rH1hy7WuZ+a3MfK9PbStPD4joSkWCm8Xnhxc8NyKifyWi6xbc+04i+hARbRHRvxDRZyypi4jop4noJv38jOZ0Wta2a4hop2jX64t7X0pEbyOiY0T0CSL6DSLa6L3/KCL6e23XR4joyXvU9VQiulaffS0RLQppbc++SOf6pI7J03v3v1jrPUFE/0FE39q7/1+0zceJ6DeJaLxHXfcnor8jom39e/89nn2GPnOCiK7T8a2K+88hor8loikRvaz37kOJ6C+J6GYiuoGIfp+I7rxHXRcQ0R/oeF1LRE9d9uwA5w6c57huRET/W/EKE9HVvftfRERv1H15zYL3l+KjBc8eGNcR0Z2I6HeJ6GNa99uJ6CG9Z/bFT7onbyCiPXO4nWVc9+tE9H4iikT0zN69+xLRXxDRjUS0r+/MKeK6r9V6jxPRJ4no5UR0aMFz9ySiXSJ6Ze/6KhG9WNt2nIjeskddA647D+E8x3V70nVE9Hwianr376739sVHvboOjOt67z1C2/jjxbU96TqSnJt/SEKnXEdEz96njrOJ61jLsfH6X8W9ZxJR6I3n1XvUddZwHRG9SXGc1fv+3vt3XFzHzOfUB8AXADgOwOvvSwFcA+ATvWsM4C5noT6GhGf+VPTtSq2v2ue5HwTwFgDX9a5/MyQP0n0gDtCfDuCCJWU8C8D7AVwO4DJIDqhn71HnNQAeteTeUwE8FpK0+CiA10HCYtv9+0DCTD8OEpTqQgCfvqSsqyB5k74QwDokj9Kr9mjXCwB8JkRw8hBIvqbP13u1rpVn6Xg8CJK36n56/0sgOZyu0na/CcALl9QzguTL+i8AxgC+Q3+Pljz/bQAeru9dBuDvAHx/cf+JEAf1XwHwst67jwPwJACHdEx/E8Cf7zEGvwtx3F8H8DDt81WfijU7fG69z3mO60aQJN4PA/BxAFf37j8YknftWwFcs+D9pfhowbMHxnUA7g7JoXdnAF7rvxHAut4/EH6C5KV7C4C37dGus4br9P5/BvBIAH8L4Jm9d+8FSeL+5QD4AHNzKrjurgAu0u/rkPx9v7TgudcDeCuAV/auvxLAqwBcrGP+uXu0bcB15+HnPMd1V2IPug7A8/t7ori3Jz5a8Pwp0XX6Tg3gHyE5QH+8uL4fXfdGAL+g798PwM0AvmhJHWcb1y2dPwDPxB54t/fsWcV1EBrym/eo7w6L627zBpxyg2VxbNskAXgygJcCeHPv2r/r96tRMGWKwP4rhCk7rpM5Ke5/D4T4+RiAbywXNYDDkCS9N+iC/CEATu9dW9T/dfreffT3NwN47QH6diX2YTYBfBqAf4EwJGW/HHLS3IOM418D+Nbi9zcBeOcez1+DgxN3TwTwnuL37wD4bwd89ycB/E7x+9MhiYg3Dvj+HwF4rn6/RMdztbj/LgBPKdr1k8W9RwL4xJJyHwNJzEzFtQ8DeOwB2/XdAP54wfUfR4/ZXPDMAwCcXHJvTcfnM4prr8ASpnn4nDuf8xnX9fp5HXrMZnHvUThzZvOUcN2C908U/d0XPwH4PEgy8m/A3szmWcN1vetvQ4/ZLO7dA/szm6eN6yCE0W8B+LPe9a8F8HvoEdYQJvgEgEMHKHvAdefp53zGdTgDZnPJ8wkfLbh3yrgOwPcD+BkAL0PBbC54LtF1us8ZwMXF/V8H8Iol755VXIezx2yeVVyHPZjNOzquO+fMaJl5BuBvIBIS6N+3Qg7Y8tpS9TQEaT0Wwrh9NmRxgogeC0FYjwZwTwihU8IvQxDT3QE8AsDTIQQFIEjx6qL+/9Bn7PebtY53H0Adfq2aJbyUiC5a0IbnQcJPl3C5fu5LYqb6ISJ6AREtm+OrAPxT8fuf9Bq0nX9CRN/fe+e3SUzDXk9E99uj/V8I4L3F74dqme8hoo8T0Sv3MKHotIuZPwjddFrG9xPRnyx6kSRR74Osbma+HiId+gYi8kT0eQCugKyVubr0+yVEdOGSdr2bddcrvFuvg4geRkTHlvQJmB+TU4G93v0MAIGZ/6241pnLAc5NuIPgujOBg+Kj08F1du/+EEL43xeVtQA/eQD/E8BzIATRXnDWcN1ZhlPGdXrtOER78VUQjYfdOwTgxwA8d0FdD4EQ9C9Q07L3ENFXLWnXgOvOU7iD4Lq96LonqDnqe4no25YVsAAf9eGUcB0RXQFhvn9sn7YDXTqEen/t+30P0q6zhOveQmLe+xoiurJ373MUn/wbEf0wFS5MC9p11nCdwk9p3W/vme/eoXHdOcdsKrwZGQE9HIKU3tq79uY93v8lZv4YM98M4I8B3F+vPxnAS5n5n5l5CyJxApCIiK8B8APMfJKZrwHw3yGmXtYmQ0IPB/BTxe9HWHuY+bOZ+XeWtOtGyKa6AsDnAtiAqOmtDV8JkY79wYJ3L9e/jwHwWQC+CMBTIJKtRbAOkQAaHAewTiT2/cz8Zcz8wuL+0yASuisg5hN/QURH+oUS0aMBPAPdHEyXQ8bpqyDIfgWC4A/SLmvbhrbrhcz8ZUve/VXIhvyL4trvalumkDXyg8z8kSV12feOv+kB2/U2Zj6yqFFE9A0AHgjgRUvavRSI6LO1/d+z5JE92zXAOQ/nK647UzgQPlI4VVwHIDFJrwDwAma29/fbb98B4G+Y+e8O0IezjevOFpwyrtNrhyG4/mchmiaD/wbgJQXeLeFyCIF6HMBdIEz6y4no3qfargHOeThfcd2edB1E439viGnltwD4ESJ6Sr+QJfioD6eK634JwA8z8+aS8qzuDl3HzCcBvB3ADxPRhIgeAKHvVg/YLmvb6eK6R0Dw/2dCtNV/UjCUb4HglDtpm56C06SfTgPXfR9EaHEZRNP7x0T06XrvDo3rzlVm8y0AHkZERyFq/A9AzAc+X6/dF3tLwD5RfN+GTCwgC6A8EK8tvl+EbN9d3r9Mv78ZwMOJ6FKILfarAXyBSlwOQ2zi9wRm3mTmv2XmVrVyzwHwGCI6RERrEFOH/2/J66bp/BlmPqZI89cAPH7J85sQn0CDQwA2exKesm1vZ+YdZt5m5p8CcAyCfBMQ0UMhpqlf3ZPI7ECQ/b8pUvvJU2iXte3kkuet7p+FzPuTrQ9E9JmQeXg6ZO6uAvC9RPSlS+qy74vqOt12fQWAFwJ4HDPfuNezC969B8RP4juZ+a1LHjutdg1wzsB5ievOFA6Cjwo4JVwHJGn6H0NM0H5qj7KsvJNEdBcIs/mDB+zGWcN1ZxlOG6cw80cB/DnEL8k0MY8C8PNLXtkB0EDM92bM/GaI8OAxZ7NdA5wTcF7iur3oOr3/PmWSAzP/NYBfBPDVZRl74KM+HBjXEdETIGasr96r/XvQdU+DaJE/Aok98dsQl4iDtMvadlq4jpnfovjiGIDv1HbcW+/9BzN/iJkjM78HorX96vnST79dWk8H1+m1v1GhxZSZXw5hyI3WvUPjunOV2XwHZKN/K2QywcwnIBKObwXwMWb+0GmU+3GIA7DB3YrvN0IWyhW9+x/V+v8dguC+A8BbVPLzCW3P25g5nkZ7bHMRRCN4JYC3EtEnALwGwJ3VjOBKiFP4DPubbhm8F+LUbXA/nJpJFqMwoSCiz4HY1X8jM7+h9+y7T7ddJFHZxgD+bdkLRPQCiA/rY3QdGNwXwPuZ+S8U8bwfwJ/qs3N16ffrmfmmJe36bJMQKnw29hgzNd/5DQBPUKR3YFDzlr+C+Lq+Yo9H/w1ARUT3LK6d6lwOcPuFOwquO1Po4KMenBKuI4lI/VpIf5+1V1k9/PRgSCCP9ymO/kUAD1Yc7fdr1xniurMJp4zrelBBfLIAMUG8EsCHdUz+K4CvIqK/1/vvPoV2Dbju/IY7Cq4r6bpl90vaai981IdTwXWPBPBAxU+fgGh4v4uI/rCoeyldx8zXqqb0YmZ+CCTw4/87SLtuBVy3F/7f72w4W7huv7rv2LiObweOo6fzgUi8rgfwHcW1X9Zrv11cuxrzjuSPKn4/H+qcDVnYn4BET12FRI4qHclfCeAPIKrsKwD8KwpnYIj05wSAr9ffP6u/v+eAfXoIxInYQTbuqwG8Ue9VkGhs9nkiBAlfihyt7bcA/Im273Jt3zctqevZkEBDl0Ekf+/F8giNd4NEixsBmEBMEm4AcKHev6+O+9csef8bAXwIYl6wCjEbWeZIfpWO2cMhTtKvxN5Ry34AwAcA3HnBvU+HSIi+GDk6778D+Ba9/9hivo8C+L/YPxrtd0KQ5HOwd9SyLwZwE4AvXHK/0rH8KYhpzAQaQEDn5IOnsG5eBTEXXkOO6nfORi0bPnPze97hOn1nrOv+Ooh0dwIN1ADBgRNt57X6faT39sRHC+o5FVxXQzQIr8WCgB7YAz9pf0oc/Z0QP7RLl9R11nCd3rfxeDvEHG+CHOiE9Pd9dJ4nAMZ7lHMquO5pOieka+XNAF6j91Z7Y/IiAP8bGlhEx/vfAfwwBCd+AUR6/5lL6hpw3Xn8wXmI67AHXaf3vxxCfxBEYPVRAM/Qe3viowV1nQqu2+jtzVdDLBAu0Pv70XX31jJGkOBJN6IIGNR79mzSdVdBTKQ9RHv9CxBlS13M9yX6/TMB/DOAH11Sz9nEdUcgGQ4mEFz2NABbAO5VzOUdFtfd5g047YYLkc4AHlBce7Jee1Zx7WocECnp7++HIKZFUcuO6ia5AWI68CPQw1zvP0ufv0J/f5n+fkjxzHsBPG1Jn54CYcq2INK438JyQqXTL712SBfoyaJ9Rrw9HGJOYc8SxCz3Zv38jD2r918H4Hn6/SqIVGYLwkC9AcADi2dfCiBCGDv7vLfXthfouN0AYa6OFvc2ATy8+P1USESwLQB/iCJ9CyQ40uuK3wzxxyzrfl5vTfyzjsl1AH66N2ffDUGoJ7Qf40VjoL8/B5LCZAfA3wP4nOJef3zfCKDttats9/O17eXn+XrvR/V3+e7mHmNwAeQw2tJxe+ptvT+Hz9n74DzEdUX7+nvgyqIv/Xtv0nv74aMzwXWP0Lq2e/vvQPip179nohcV8VTKWrDP98N1b1owZlfrvSsX3Ltm0Rjo71PBdT8Bwa1b+vfXsZzxfz7mU59cBdFqbUFSNXzlHmMw4Lrz+IPzENdhH7oOwlDcpPv5X9FltPfERwv24oFx3YJ2vgzd1Cd70nWQ1FU3aL/ehgIH6/1bBddBBPnv13I+qfjgnsW7L4LQdFuQgE4/BmVEF40BzhKug/jcvgtCax6DpJJ5dG9M7rC4zhiRAQYYYIABBhhggAEGGGCAAQY4a3Cu+mwOMMAAAwwwwAADDDDAAAMMcDuGgdkcYIABBhhggAEGGGCAAQYY4KzDwGwOMMAAAwwwwAADDDDAAAMMcNZhYDYHGGCAAQYYYIABBhhggAEGOOtQne6LP/JzL+GNCyTnKDMjtAEcI5pZixgiUAQekmhE8j2GCGaG88LnEpF8zxGYwIz03Z63cuwBjmX53bYV0Zy67/XAyujct++adsfaV49r1KMKRAToNUvNY+8TUaesMnWPc5mvZ+Z0jxaw+1ZOep9I2tVJBTT/XC6TwJFBbj61ENH8NSuj3/7+M4v6uAwO+lwqPy6ZM4tmFYHZ7hQ7m7vYPrmN7ePb+Ng11+K6696P6WwHMQaE0CKGFm1oEaOsxxBbxBgRY5BrHBFj1DWS1ymD59aZjYm9b9fKZxb1cdkasHEu//bH7MDjdRqBvaqqxmd8xoPw2Cd9DdaPrOexZdlnoW3TniDv4L3XdQ6Qc/CV1/1AIOfgnIPzDt47uMrDOYet45t43rOedvCOnANwxRVX8crKOryvUdcjjMermEzW4FwF7z28q0DOoWmmaJopZrMdTKfbmE13MWumYI4g0vFyPn2YI5yTMbUyvK/gnENVjVDXEwBA0+yiaaZp3TgnaNs5l9anXNf5IQdyktZRrjt4V8H5CnU1AjmH0WgEOEIznaFppgAUj4c2lWU4i4jgfQ3vK1kLPiOtEvd0vjtK6MrWjvcO5Ai+ruQ7EaLu+xhiagPLAQBombm8XEdoA9pZixACvJe+hhDAkRNudo4SLtzZ3AUA+Nqjqiv4yqEej+BrGbN21qKZNZhuT1PfQhMQQkBoAprZFAxpo413iTdJ5bZNO0MIjcwt+Yy784ChTM1HIESWesrxNGiaqeItVrwV0nsg2aMyfi24l8q4j4cIhKoeo9aPzGd3XAXXxU4b23bWwVl9/OhsrcHOH1fgx6hz03Zwpl0fj1exunoIs9kO2rYp2hHSX+t7jC3atkEITaovFM+F0MC5Cm07w+rqYVx80eXwVY3QNphOt7E73cJsuoPIUcsMIHJYXz8KADh+7JPY2d3U63k85PwJIN2zu7ub2No6gRAanDhx03mF6wCAyPGpnEXnE+x1rjrnsLZ2GOvrR+Gdh/MVvK8UV48xGo0xHq9iff0oxuNVjEYrGK+MMV4dY7I2wXhljHpSo6r83Plq52elNGYHh3mHqqoSrlpE1wFINF+flgLm6RC7ZniV+zS1rvsYOO2/9G7s0mkxdnFCaAVn7mzuILRtKsP4BKE1guzpNqZ7MUQc/+Qx3HLLJ7G7u4XtrRPY3jmB3d0tnDhxE3Z3t06JRuqMzYLxON3gqF263mv58+lWidwptbdPF/bLXEQfl7i0T8smHkpx6Kn2d1HbYwynjRhOm9lsm4DQBjjvEENEDAGhjcIcxjxIRsjK92KAbME6ecgWbJ8BLIkP2UQoyl7MoJSbrn8vMW0Wjre36Jjz+0SyrzhGJRSFWHKOYD0sN36nnFRGZliAeWYFcQHzZ0SDY/iqQgyyWEgKKBbV/FgQEThY2fNtjCGm3yVDetDFaHNUllHWkca+mIv++CxiJEMISUhhDJAhoNC0aGYtQhsw25nixo/dhE9+4sP46Ec/gE9+8tpEyOy18XIf99/ABiUDXhKY5f1F0EUYXWHAXkzqrQ3MEdPpNprdJo9Pj9GMUQloZiHetf2+AkILFRI5eMoILUYGdI/E8Knv160NQpQ7jEZjrK4exsrKOlZW1jFZXYP3HjFGNNMGq6uH4GshGpppg62t49jaOobd3S3EENC0M2H8fD3HTDnn4X2tjF2F0WiCytdgMEJoUFUjVFWtTAaBVEplDKsxskakW3lVVYFIDsQYWzTtDFVVYWenQTObIsRW+ujyUeCU4XWuUoY2CxSWMZXl2iZlgg0nOOfgK4dqJP1zleBSZoZD1KHwqf6S+bQy+kIaZpZyKmFkAcA1xX60cfUOHBnj1THaphXhiLalGlWp7NFkBEAYTGsDdN87R3Deg9mYb05zZgx5jBGhbXS8Rnl8FggICS4xrlaXMZusjJCVPx6vom1naNsm4a/uM5X8rmopH9RhOmUN1KiqkRC3rkoEUq4/E3zO2Vi71LaqGqVnjUErhRslnnTFPKZzFrn8jDOkv+PRCupxDecctrdPIoQGTTND0+witI2u/yACF12vUXGNtaOux5hM1jAarej+qrC2dgQgwmy2g6aZihAFhNF4BcycxlMY2BlWVzZwwYV3xsmTN8t+VQGjcxEEQhsaXd8iCHLOIcbz0zDsfGc0lzEa+53JJowzgRxiBFFIgo629ahr2dfeVRivjLG6sYLx6jgJtoyGXCb0BzPI5b0XI0Ac0UJonKr2AETI26fFgIIe6zGXJTNYXidQVuho3d1nu+8xM+Cow3AuqstoB7lfyNtKRleZ6djj0+y9ENtEe4XQpj1/KmD03qLx3kvxchAgcnB2DhPNvWvCN5O6zq0740XS8705ItehX2UcF/ERrkP/Sr2ZXjXBtgnODgqnMhYHgdNmNktJhTEMMQqjGSPPSVn6RHYaQIh02xb8QuYxxMR8LGMu59/hjkQ51wuUbFpfogOo5JrLDUwANXBeiA7AgViIEA7zGkeriCMAlyet1EJ0iLM9JjSGgBgYzlMqt6wDe0hoMkMrf6iQ9Nv3g0B/fBZdK3+X2uiSoTTEYWMuQgphdEIb0c4aNDNlHNN6EC3GdGeKnRPb2NnZQjObgshhZWUD3tdomhli7DKcp3OYLHpu0fdyox9kDg+6ac/25l5U/nR3C7PdxZqK7h5zIGJwWquSwKskGAky766Sw+egAotzDbyvsTJZx6FDF2J17TBGowlW1lbha49W16v3mYGpRzXoELBxwQZCcymaWYvZ7ky0N81MGH7VgJmGyohkIsJ4vIqqGqU5WllxHSIEyIQJg+F9nZg3OVxMk+mV2SSEEBFUKBmCWgFwUIZBmUPVlDnyScvqvQMcdbXcdngq4QQs1nBKWwiVMhPOUSrLVw5tEwDv4BYIYZyTNWfvlMAhgr1DaLM20DkCR5/KMEbTe4e2DahGFWKM2g/RsrqCsPKVw3h1DOcIbRsQmhameSWSNrAxwKqVICK0bYtmKvvJadlA1n5WVb1wX/THyfBWjHFOEDEaTTLDGSMihyS8NAJMGCMPAsFXNSpfy9/Kz42fjaH1jbk7h9b+UsO3CNfZmnFOmH5rT3luS1lZMyKCwQAjPSIHzHZFm7yzcxK7u5uYzaa2yNG0M2FMba27CkCbNfWqoRUrgwrj8QpWVw/r3LVJS1t5YbhlLzSo6zEA0doCopFeWzuE0WgFJ07ciNlst9CqtvChTnM0qseYTnfOS1x3vsEixvJ0aYPM+DQqsGkBjoInXYXJZA3r60extnYEK2urmKxNUE9G8HUl1kAlY1Hsq3I/AZn+NCEaIHspxCz45VJJEAqlifWjpCN6NExZZ2xD59lltE8HFtCDRttyZLEoa9oObZ0ULsrAJhrYiWCbiMA+C+7KT9vOAGWaEgO3BEzQZkI3E2IehE5b9Fw5BnOCQ1A+k5mFWezNsTHHJc2fz7oel13WWfBHqS3an+68xF4R3fsEBhODWdpSWph8quGMmE37G9sokgw9wJKpLFzmpssOUtb0Jc2oqenT35620RiVPUxfuwzlEiapILL7fSl/9xcZBULbBFQ68c472N5ZunyN4QSSd+xeyK+/mGPgtHYXESudzpZl9STqCcFwsXAXjI09229H2b4+UZj62WtH22RNpa0JMZsIQviqOUXbtGimDULTYrbbYLY7QzNt0DYzMCIIDiGKNHF3ZxObW8ewvS2mFSKBDqiqGs5NxKTF1xhP1jAeTdC0Mxy75Xpsbh1b3O59YH5eGItme5nUTJDJqTGPB2E4Tw9ZyBxNpzvYPrmN0IqG24RFMWRBwKL5l4MjJvNMjgA7TgS5c8uFHuc6TCZrOHT4IhzauBCrG+tY3VgBOcJst8mMTV2hGlXJPQAQwtuNR6jHIxy68BDqUZUI73baYHd7irZpwSFiOhUCW9ayMDHGsIjJbj6sQlAtskp8hRCPIFIzWpdNsgAhKMysvNQQiibVGM2uKW+SwpsEWk2njYkzBq8jsOofxkTZ9QDCpJXv23gsMvti7V95SGcCxQEQjWwMakJceVTIZ0Wag8rDKZFWj0X758zs2xNsf4ppsRct5qxFQwTnZT+ENsDHwu1DicDQtOBpVGanyxRnyX2XgOqPzxyD18bUbwOvZnRt2yaTVmOijNA1wYKZ4xFRssKx8bA9rosTLjH2eazt2YqqDtMYE9Eo82iWPrYu0rzFiBhY25rXXSakAtq2VU2QmMR6X2N97Ug2xyVKdEBdj9P6tjVQVWNUvkLkmLTv3guxLwLISkxyIeNm42FClLaddcYPEKLOuQrrhw5jPF7F8eM3oGmmaJspmlbuRbUCYGasrR1G0+xigNs37HUm9Yn/g0CMZrovgphqNMbGxgVYXz+q628dk9UVjFZMk9l1BQCE9mKXmQm7ZooJEza1DRcMp7S1bVuQq4E2pH3XYTSJDAl2xmC+i8U5v0//SwFz34RW6tcq7WxrQraQ8i4JnfqQ8N+CcyMrDaK4eRB1GK9FGk7R6nUuFGXu2cWlz5m2sc9EWhtKIW/3Xpf+LoWCGc+6Ds7N59wCRrToj7DR9o4xl7FXll4XjUBiOolqETT31cmfAjhtZjMxGJyJ1BizphMshkJs0g6dM+e7EuLEaHI2k+0sbqsu5vqk+vkN1Nei5qbOM0v9+517JSNmh7WaEHrvEIFEVMor/cVSqNQVARgy6de5SNPZb5Mcvr02W50FEzs3NyUyKaRm/ecXMRhpMS5h0kxTaR8ze7O6Z9MGoQmJWDM7/dC0aBvxt2qbVnylpjPMplNMZzuieUt+bzswM8HQNpg100SkNM1U/OJmu2iaXZT28XRCiIPV1Q1cdPHluODCu+CGGz6M7e2TnRHUkcNe0B2X5dLIJW8vLG+59GwxM1vCmTJ0s2YXO5s7Mr82hyGviXJOS8ZJ6hbCk23dRgBKqGbfhfOP4Txy5E7Y2DiK0XiMtcOrqMcjzHamya8lQTpUhMnxVZYyeu/U90Z9KA+t4gL1XQSAts2HUDtr0ezO0MxUENMWpp1AtghoxLTICGshxKtkrmrETWiESCbnACbUlUPkUKxhZU6VWalHwrxQj3ky5qK4uHAfkCNUlU9mtyWjWL7rvAOplYW5X3QFWibYyNJ4s8yI3sExku9nVVcIJsRM5uBG0AChjdl015GasxVSaSUKfZ0FAs4RgBGimrhaW+y+PQ8gmccB6Aoc7JxQiX8szhYbjhikfg8PrjgxpjYWxrD6uoKfVQk3e+/kWuVzX02zOHcGyrx45zumd3ZEmblx3yyaGUCd21sy2+WYhDYkP1ozUU3j4j1iCJjOdhL+LiGqln1lZR1NM1U/1mzpJIIQD1/Vyd/ZrABkHMSXemVlDXDif2tm5Ua0el918G7CcclPWvo1Whlh7cgaJqsTnDx+DJsnbwHIKZOR1/JoNOmYFw9w7sHpnFUxRsTQwvsKhw5diI2NC7GxcQFWVzfEd3M8EvxZCOqsrpIGPIhQGb13ACC2EU2coRrV8BW6DGfxl3sCqzkmagEd0q2aFz67rIx0NrWiUFg0blwIrMQUV2+qWW4WXMvYyZ4VC4tyv5f1d2GeBjnIHO/3zDJazzStkUNnPolc0qxKvAZK7gWyJrILTL/+vF7mtc2u0GabGwJg2svSAqVv2SduG6TkpYxrc1rr/0zg9JnNTueEYE1akla1lohJmmqDGNruwEUN6mCHcNZwcpaIFgykSVDKukvYS1LVud5nKMP8xANQglqDxKiEt6rUFNXbGKQaOmWkzdwbL/m5N+PbZ1z7kBal8XjgecazRwh3NmHvfnkvBCkrmUb3+2Nz2Yj5q0nagSwFn+3OMNuZZi1mGzvMpUnpm9kUTSumhdPpNnZ3t8RkrJlhOttFCE0yZ5LvsXB4XuSULRIwjgFbm8ewtXkM9WiCtbUjGI1WsLl5C5pmNvfeMujPR1lPiWDKNb7fQbLvIbNHW5bcsZL3fb9tZ9jePInYBgn0wnnfJYLfOUREUCBQDCkgjPiJCLPjK5/Wh4NDWLJ/zgcQH60Kvq4Q2oh6DFTjWpmOQuOTNERysBgzUM63MWu+rjCajJIAy8ZYtJDcEcLFwGibFjEEtE1AM22wu7WL3S0G2pC0M0YwO+86QdfIO3juovq8rqUtVe3F3KsXpMLAfL1NkwhgLmiPtcH67CvT6nVxvjGpIvlWJk8D3ZgArqzXmPrEHHqpu6WuSVCtmty2CUAIRRtqYaicmsWqv1Pa0yYM9MZUC9MeXYSrPGIbZN2reZgD0hzXBSFiGts+MwMA7BihBerazY1ZyVSl87RneZLGep2S8MGud56bE2DtL1hc9GzZlv77IugQDSUX6yHG7AuZiUVO/pbm99j1GfWKlxqsrGxgZWUduwVuFV8t32XumOGrWsyxVTtvQVc4RBVAGKMpxJ110XuH8co4aWRZNTEGsx05GzYu3EA9US775C1o1W86aB8IhNFoBQOcm3A6Wk1AhCcrqxu4/PJ74ciRO2E0mqCuJ2KujhwI0jSawAJ60M3vUfvNURQIe9EQsl9aABWc5+wj3xH4ZUFa2d+kSewzmsW1vqCqfN+sN0ptJbMxQFFwwgJBV+p3zNRKv1xui9gYykw1zUxM50+VZlpEW/cCqO1nkrvXu9J2tZgoDdjKOUBmLJOPeczaTNZ4LUyL+IB52rakv0uNqml0BS9x8h/tMp3zDKcEzdxbw3kgocgB4Yw0m+DSF4+Tf2FmUDIBUW5saTx1fDGt02Uk2/LQNSKnjyAWfo/zh6Td7yMAIkrP97un30BRtLCL/E/3mggulIs2VsA8gdBv/7L+9Q/9/jULziKEb1Fu3zTcIQURWiTtZWbEmZpZqjls+ZxpF8Tcte0IBcSEIqKdtdg+sS3S7qZV4qRJ0TpT0IdmiqYRfzbRUk6TeVXbzJKTeAjZhCwxmsyI5ueErCEuTQMBJEa2rsdqZrWL2WznwKYE/Xnuf9/r/n7l6jcItjo7m3oxSNlt22Br8xiaWZvNGLnrM80hgDgjSWE9ta9ECbHFGMWaUbHI+WpKa/559Vh8MquRMGelfxqQCQ2irNGSgA5IpsYWmdU5yoG/iOAQExNWjXxmNhS3TmismkmxGtjd3MHmsS1Md6YITZv3vppOotcuqhcwhl78KEVK7gAijMZ1+l0SIsLwoWMOb6ZSFjFRmDs/tw5KOqb085R71q7imaKdsr9MI5kJOdNctmo9YWMLAL7KAhRjOENDgI6NBSzK5ffWrOI4p4EXUEGFqeKXGSkf7lmDkfG9nWm2R5KGsmBGXTm+yDimtAQSPC796jOypTAiDbKuF3TGbp5ZXMRQLgITGhuTPZs2heYyzJndW/Ar+234OwQNQuUzuWERmk1Cb0H4VlcPQQKuaACh8UpiKFOQPriOT7GZ9TIz4J3MTYjFvLAKQWpM1iZJoMHMiMW6kvVJIkRtPNYPr8E5h7qeYHPzZsxmu2m8LBLpAOcenCrxXK7vjY0LcPTopTh65BKsrh1OlizoCd6WxcQwmtb2P0dOZ6rdR6REv8lvAK7EVQQECRrkokNVAyhM50XYzskUfU4zt4gBXcBo5ks9JU3hp1/SD6EJ8+5ZvbpyO2TvlWXHEJOJJ4Ozmb0FP+vN215Cs2W0+TJcZ8xdVdUJ95T3FtHbRmey44TPFrVP1ogK2FSaEEKDSKFTjn3KbAlz+JkLE1rVnpbRZo0uXsR0MuscxJCFoHvg//3G8lTh9H02IyetVulzs1BaUzzj1ackdCQj3IlECmTTotLBuF9HfxOUjO0iCe9BfhtkoqErVCnbSThYkJ9FsKiN/WuLpN9W16J2d97lEiH0tE6hd70X8tokvc47NLszhNBVy9tC3d3aTSZ6ABCCBPkxTfXu9i6mO7uwkPVtK2kWZtMdtKFFaBs07Sxdbwoz2aDpS3Kk2RyuPkfW6m7GPD4ZyRrzaZFYp9NtVNVoLsrjQefr4IIGBpaYxc7Xt1wosvj5Phx87cUYsL1zUvzQKp/MW4TxyWvBGExAtDjEWSBUMhOsm0QEAnGpf8a5DOvrR7GytoqqrjBeHQsO88JUjSajufkq08EYk+krP68JVOYsKiNT1b7j/2bIxxfasBijaPDWV1CN6mQtMNudYbo9zW4MQCIifCXzmoJUaP2WjsRVPjGZFgStb0JtgsNkDlpXCadb4B1jWMGMromqMABQhisx2KoJ1sFIZRkkxsxZ+p08bg5R2pmY7ByhkWKhZXQOHAKcmjSX5m3JlBTUOXyh/TRJPBEhxNx2Z3ZtVdYqxBD0DJpn6IQZ913hahs7zGTqa12mI9E5tOiPpbakCKDGzNnUuhi7cgxL6J9Zc7iGuz7csQ3prCcyjaWDc5wCFgHK3KMwOVYBoPcVInXTqTDnoFQGMUaMVyZo2zU0symcr1BV5lPpNN2SRV6mxGQSUVrbNiZm+mvuHZO1SUodEduQmdMKHWGKrftm1qIa1Th04SGsrE+wu3VEUm5tnsTm5nG07Qy7u1sY4NyEvYjskvCX3zn68mSyhqoaoWlnaW/33+sQjL3Is4LjGBQjUBL8MYLdAtrV9iryXk3PRKGHopPo8KWQSfw/u8xlImqt/J6p7RzdscA/E0AyeU0/NRtFX3jPqa75cuaGPrJakASNRRAwnW4r/igCAxX4Yq+2L+2TEDn5d4r2mn3r59MUZkuMcvy79ZXP+BSlnpklinzB+JXMpaTMmaQI185VCKFJFnjyTjd1SRLQsQRpJFGFqzmvS7QxYoQEr89R6gEAzgMcdflVn7KgQWcsmksRaEPs5NPhyIgUk8bEpN4A0BYMCoCO71NJ8MYeQ9qXXORGLGdI8/PQZ+avGXQFPIXEJQrxHQD46JKDdz91SEn0Z+YEQJJEQA82bWOxCRelUOn0d5HEqGxwQTzZs+YzFmPsmAkbgWIO3WZSaZL1oEEqvPdoZiLNLhlW7z3qcY3QtJjuzsSPYNakA9vGMjSCMNp2ljSTptkUk4smMZetRucMIaTN0g8u1ZUq0dz8LR+/0EEOs9mubPRqhFE9RqvmuQeV8Cxi9hcTdPOE3qnC2UYCzIytreNodmdpP9qa6O43AhX72Pm8lkIgOC4JbU1hsUQIcq7D2qE1HLnkKFY3VrF2ZA0A0Ow2IEcYJzNPJEYvMQ4avdVMZkPTJnNZXzB0jHn/WNnLhcCosPhoZqopqhycqzFeHWOlXVHfZ8kVaaafREi+9KZ1LH3uqroSjW3t03WLFF0yhqUWjJyDd0gMnV1PJrYFLrL2G76xvidGqzBx7EQyTQdrITiK2TTXVR6jAveWeY+p1MY7AiljFEJIvolC8PGcxjBFuFXfRSSGE0j7WafK3hU/UdVGdAgxSm0lEquA0BS+sk4Y+6r2OXiS646pAVuqoQV4PK2RAs+jYMxTGQWTX46xMb+Wfsryi5bPkpoWo+qexVYnc86laZYuBK8SdptD32lvXxDKHFHVHqvrG5ju1B1mdBEDbhrqbC3gUh9MAFCNREA0Xh2nGAKp78xwkRB13VkqN6urnTWoRhUmaxO4ymP18CqAi7C7uYPjNxzH2uohDHDuwTJBvTGU5W8AKd2UMA2yzna2T2B97Qi8n6T9XZbV33fpul2LDPTMJy0eguxzez6KoErdthJ9zZSqENNVj6rWc1vxb2JapRHWuDnCt09XL6KBU9utDSGfeWUuTfTe4RjnyrL+lzSXmOBrXuPQSOqj0EqaMACWvsO+9xU1i2BR+4XpKumexe93rpttc/GbeuvEcGtVjTAeraCqRQi9vX0i+Y6nMWHGaDTRXKwTVFWNup4k39TRaILDhy/GTTd+FNPpdicvcGqzjkXHtz06FSAo00lZIeOd+cFnLWeMgLe4Dp8ChvMMotF2vycpaCgZRzM5yWYuoQ2JUeoT7YsWefl70SHch74UwwiuPpNJ82fxHn3VDaj+iIlZY07mqEQymXsxIqapNSIulW/Mspp5JWRV9HXp2JgmyjvVWOZ7oZUXy6S74j8ZUh9MM0JE8LVPdTID0YXkf1kKDWIl35tZi9nOTE2r2o5Wq5TkGLMZWsmhJgyl5acKKM0UzAwAMOIzin6QbWOrLxpYCdWwcMwXz2F3Hc2aaREggpMNey6rK0CwcsqDaFG9XLS//G3vlm3Yr81nG5gjdnZOYjZtMFaTMnDXOqEEy5kaWnV09wSOrmNOa4w1c/ZhPJ9g/egGNo6uY7w6wWhcox6PsE3bKWWPBMAKOTonUScnpWmCLWWGEciACNqq2qeNW+IGYzzMn9YYRwMpQ4h95ynlc1tZX0nBWizAUD9ZOBEkVUuhTY1tEL/NKkcR51iY7bisiSUl9pM5mDIsJXPIzJ09YLpyYzStzG6EQ3T2Vh/nt00xzs5JYKAQ5hhVqTsz/YbjZIznhUAhGF7Mvqy2HXIQt+IF9fMPoYiQXvQjLhCAWt3O+xTUpx891sop+8zMaYyWnY3mpxtdN+pt2U9XaH+TJlTPNHN1yOea4N3oCm1F6Z6i819VFdxYCbkwkijKbbY8iTHCUQUiJURN2YK8Thx5MHKu7pX1lcQ4dsawZ8Inc+tR1VWaL5vv2AY477F6aFWCcEVJT2RrMqViaVp4O5ed68x/DIzdzR045zAa15huT5OgZ7QyxpGjl2CAcxNKWsD86cREOxOLfUGH18jHABBiwO50C6PxuBMcjAgdwVdmIE0T1cU7wpCxBnjJArvEwKCLP/q0R4wMx2JPIPWyKjTQJQYXELolLdJPV7gIsmBN6EM7Y8qzYsFLsLzESQjUd19SxrOdicl904jVABGlwEAybl7LywF29qTfF9Azzrt0nvUFm33eoaRhu8VmqwzBgaOUi9tSXVlk99XVQwhto5GzJW/yeLyaNJ++MMc3n3TnPDY2LkBdj3HDDR8RhjNZIYakje0woKrhjjECgWCBiWKk9JyIYAGLzGR5ub0yznsxnCXterpwRppNW2BESlhX3cnz3oELdXIpnS+fMygPjP798tCeI0ZKpYAdSEnC3IvqynzKjCYAtI1I+p1KX5ynFNyozwimfENWp20u7WDHVK7Xz3pUw9c+a52KwEkdyVFJDS1gXPobSX+gbXJEWCEQQ4qEWcc65ZcDMiHUNm1iSMg7xGmQiKZBktmHnglZmZ+MOdvhi2SlaxLQByIHUISDR+BWEYsynORAFJXR2TuA0l5QriMJOGQmMV4Jkm4S8kXvG2FSBgbqS7n64386bT3bwMwSxXd3pkx7BhuPfAAiH0DWJ3vGybpOvpzMt6rH6W0JW8c2UY9rNLMW2yfEhK80LU+EvgpbvDKavs5BI3K0U9/1l3DUYZTs+VLjY4xmed/WZmI4dW/62qW0Fbwi15tZm3ynOUTAiW+mBQRKeAuqnY0x5fYtfUHLaKV1NUpmibZufO0lomqKPJj9uw2vp31hViFEEmhNHoDXlAAxlNH3usIiGROA24yrAHT3nsuawhgjfOVSX5z3Gggrm8tlBs+Ek3J2MOt4qxbCxs/wndNgWg4OkbljbmqpcIRocl0zWGPolGHt+3zZ/UU5MksomXHnHKraI0Y3ZxVkUM6v4a+8bl0mOuuulRAzpyAepU9TJ/qy9xhPhGAybbr59tq5kNtkjJ2ONWetblV7YHWcgvWkte7z/JYazfI8t/HwdSVMa883l1RL7TT/bLmXYsiRNG3NhZaxdWwTk7VJErxOt6dz4zrA7Q/m6csuDbmIyewzmPm7SwSj7TVhAo7Kb3t+2bkfGVBruJT3sC9QKljRdD1SYiBjEMFk3vP2LEC637IQhjqBKcu2dOjFVA+nAHDLxtIEPra3Q5stFE1YZsqX4sX01Wlu5KQFLSAGsY5rmimmu1to2wZOx7zv05ihyEO6hE5L47+UPj6A2w9z1woRlHL81rUEDzQ639L1SSoqiZK9s7OJGCNWVtaxvn40BcMr6ci+wBQAKl/jyJE74eabP94xnQWQFSPKfHaEe07yacYgFouWbiXGABeRtOeWm/mgDOeZwhnl2cwTlq+LFH/ehKDUeBqUjNheGsG5d/ZYRP3DuUQYi8qwQ8XaatEPY+Ak7bagNwAwGtdYO7KOelynnJHGdCfGdNbNY1NqLq0dVe2Tb1T5vvMOk9UJRiujFFwkmX0tYVbM5LUcrk7glyjSa+ddymlpufqYOUWVlbY3iXCtNHdgWW9sI2a7U0kl4F1iNOEoJecFPNq2QRmdjIvIVyXikDa4hcEWKLqkAU2ROefm8XSYuO66tfctkEUOm1/kf11Sfj/PUtm2ZdAnKpdpUG8NYGbMZruYbk/REV6gK82TfovmODFTMaagKXIoiayM2cHybi47rM5pMKYlpRzJa1mSV0MJXI96VBcHgkTGRAXUmpLEF5pAKdq0QhIBWiTAaq7cBjW1dGAN1pWb1OE+0TfJIhI/QXgkf0Uwp9y9JomPIUeAtRRFiXBgdBjOVJ0KENtZm3J5pjqV0TOGxMytnJoFM2fGVQic7lAb7ikDllLxf1d6XvrPSLkxmrYUyT0jnQGpXk1B0obOCWgMJqwfzOKrXDB0ZgbNTq1pHYkppuLXamSE7HyKEFsTMJMxs/IBks+pRVWFli0v9QSopkVJAr7uevKeUhClUlBoZ0J/7aX1SELYMubxV4fYa7JQsTWz41bSQbhKtJ2+cvDqzwzOQs6cNqZbv0UxFssJTjlR7Wwyk3QbK6CrQUq+rxq0bLI2wWgy6pw5AECVMqPKrLZO/J0lLVfouPiYeXzbtNjZ3MVkbYJqVCGGiOnOFLPZkGfz9gT7nZkZV1AyxVzG0KTgL8zpmTKKMpH4EU6n26hGFTxcwhsdgVo1TwdkIbXg7dJHcFFfbA+lPWlBgNpsKVK+I38dyCW30FKTk8dB8WEMoRAKzltulYymZRcQgaIVXdBfROpHmBlb7eZCesOsJdqZWNhNp9vY2d2U8XfZjN/SjNgY98sCsDBibH8s8zWj6xb7gJbvGlPoXYWqHiWtpeTErpJAUwJYquDOV6iqESpfwzIoHD1yCdbWj6hrmbiQmTLFe0vpVKOWQ0RyDAPYWD+K7Z2TPZ5L6XouszOIgsc5B0cOwYVE05qmM6DVcYuJ0SSSSLVGi/cDJO01jqcCZx5OrVjgZZ5MgeIQ7IU9zgQNdcqxZxep5BdpjcoF0hkMNXPKAhxObTQ/E9s4FsY9thFNY8FqdoUon26n9BwxBoxGY1x00eVYmWygUT9D6SklhLS7uwWOQSPWeVjeHdfJDeYxmayiUuK07Mum38TKxgrWj6xrMJLsvJz6Wpo9KsNofnWASop2Z2jbHCGsntTSV2Uoq3ENjpkQkINUNxciAoVkihZU09HsNsmns0R+NoXJOTnNiSJE5+HBcG6lgxSZ1bmcg/rbtJ0ItMbwxRhSECGJWCvBfe5//0fi+uuvwY03Xocv+IIngjnib//2L3Ds2Cfn1k+xkjq/+lJIi24LdE1hSyLNkEQfun1bjvy6CH2Ppt4K0DRTNNMmS2JZGR2eZ9pNIms+fKGRNVFGp12mRTlfwKwNxiuitZlRk9KQkOaKFPzNaGZNJ5gLhwjyDmuH1jBmIEafotsCQvwSESpPhQltC88e7LhYj4CvNciMav9Cu1hQV76TJPi6R8uAFpZipZk2aGeCx8ynUd7V8uxdL5FrDURQFeAqMQ+2943xa9VH1RUEAjN3AuVYnlEtUMbR8r4WwXNSf3zWgIkZc3Ee9M+MjkAng5m4tk1IB2CpKSDODFcOilUEonGue+7pe8nfU98zs9x8jRMzw5z9JDly8qflyKhHVWY4gexPXwgUEuPLnKKvds/ePKZm+lmmExOmNc9v6Q7ilUC2cSpTjTnngFr88S21iUndhbCp0IQZ2lbWRDWS3K2TUZ1ycTazppNru6qq5EIieD+mdDziR5nHvM9oGnOaiGjnsLox7uQ/Nc220tqQKLiMZneG2c5MLH0snUwSFGXBGRGhbVvsbO5gZX1FtJzqCjLAbQunct6YEHk/JtMVWkxjmkwDCgjtBo7wVZ3OUu89PHHaq5m+5c6HYAI1Fbwp4+mg0qsenSHvlIwfimjLpiwBgC5DKniWYek1kg+6Cc+BOS1kn7YGskWd0cudzAQOc4LI/px0FBVhscWY4cWm2cX29nFNd2TBwHwafysvj0WOAGvpP/aDUqDe12qSRnftmDoTYTQaYzxeBRW5MkvzV9MGyhnoRRBB4r85Gk0AIqyuHsIFF1/UwZd1PUpnBZGkUjKrKfPfHI9XsbJ6CK0GzMx9zy5fRidLW0xb70Fto7Q7dehyoacBAqczIPlwJpx+9pUGZ85smjQY3UNr39dKE6bO4lQBTOG/0mcu56Q+yUwn+4ya1jExk7MGbRvQtlPMZtMUqKZppmhm05Rw2lJxWK7HEC3Ue0xSgBtv/BgOHbowpeIwSZlzvqM2FxW7V59Alxah9xW82m+vrB7KPjtEIJ39zeMnMd3axcrGqkhUa5+IBGGae6ZQbegQKKEJSQKVBlbHyfzvynxtdljL4a1jaxoAQPy41D8tjXt6NWtdshO3A9EoOUB3ka5VIKlLbLNaHk35nTdTmWdT0qPM0DS7cM7jZ1/+Ivzln74dv/VLP4cf/MXvxQev+zge+u4vxI//12850Drswzxh2vV/ygnFnZoJl0gza7z2PgTzZl60B25tkIjDs2QmzcxwnLXgBiWDYIdkIlCJ0gFGjjTgTQ4Cdj5BKfDkyOIn6AqNnymizLSaCr8b/TvbnaKZzkDOYTSp4SsxsfS1T36czDl9lNTb1eIDAKnPZLIIKSKqdvBkYV0SYwQxJfNeS+PkSYRvYto7BnP2XSx9DgFOmrd+e7RCxBiT75wFECrbk3BRQcS5SvztOj6KIQc2siAaxjBn30lS/9EKHBux+lDG1BiuiJgiyRqYmRmimowq+rOItXb2iJbS8GER/IMoBV0rUwukQGtFgJ4Os9LzxSSijn+rzVEsvExKrZ1zBC58Fbtrs4s7jCBM68CJtjRpIAvhWUlUpbkq5jRFnXbmw5p9G1FDTU6XWB8FCajHU+4EphpNRhipqW15nndiAmh0yzT2xfgDEtTKfIWJKFnTMcverCejzp4lJ37JZrYY2ohmOlOiToRBte7nJGjhIpBTsY6nO1O4yonmdDSe6/sAZw/6NEb/2kGhZDKz1nI5k2kazJKZMc0WAKHRyMzAHWazHbEAczUoMuCXt9PyWOe+lGdsl841YUoHBwHJz9qeTUKgIG4tJa7MeDULHoHMfPYFdX3a2uJ7WPA7ztxtphN7fZ2j0aNaCYYcK8To9tJffHv7JKbTnY6fZhkMaF4D7It6urmTF2kpy/EyfNZPV5KUIyRCsJWVQxiPV5FiiehaMX6gpPkIBNJo2cYobmwcAXkn7gWK9wGgrsfJEsRSOsUYsbO1jRglMFLU87JWprVtS7eCqkgp5dP5Y2MWY4Ajh0YFK0EzOwidYNHDQxJyGG8j5VUAutaZZwNOm9k0jRc5Ai1p09zkqzLooAijJEJMupJ8QWJEbKMsVJWWhiaoRjIzk8Kc7GI23UWj0VDbZppSb0gk0hywxpg37kRuyqprQCQZu7ub6ZohL1OdT3e3AJLoZd550eolhtMlqUhVjTDZOYnJZA11PU7MTIJbgO2TO1hZnyTTXVuUNhbMjHbWoNEAGGb2WhL9Zq423ZkmX02OjAoWWCFHZZTE9ZkwtDlGYDTTmfh9maSLghBX3iXfGGeJt7VtTTOSTcGsjs2xsy4kgIQ4bVvfUh/NjFXHP8Qa3lWo6wZNM8Kll94d137ik7j7/e6O1dUNXPvJG/D6l74eD3r8g+bs3209nir0pX1RcxTJPNad5LiOHAJ1Jd6L61xCoH0KGE5WBp8RMZqMRIuSDqX8TImsTRtmflmuEhNrSz9gZnPkXEfzdb5Aq+aOZf5DIAd7KaGMUmeB0YiyWXtoWky3p6jHnPZMqz6VcrjHTtnmo1MKksry5XsvcJDeK60fSjPE7Acuf733gPaj4qpj+VESPv11IdeRNWVA0iiJAIPEasLMcgyf9KM3mllY5MTE9KNzl8/HGJOPieTDRNZsEYAiamznd1EfbPwoM5VCAMXEWKd3iqi81m/xk+FOqpnSb93qiSF2DCBSgCUt2uIYmIDBfAZL8+RogY5cwXiV7iJarwWqKrUNxtTX6kKR30EKVldqTZOVAhE4Mfe5rKjvitmXEbWyljpj7DNB3TaiqUATMFoZJXNUYbrFQsACWdl5G1rRbtajCjO1wiiFWq6YI4uR4LxLjGxeO6Xvb84DLftYhQfmwkIMF3PgLjM96wgUQ8RsZ4bRpMbK2joGuHXgTM/ukpFMjGbhl2kCfu+qjJd62jPTZIlZou8IP8StogUqoW+mO7t5PfWYZMPHpeAk0UBJy1kwezGfDeaeUkb+XkQ/7DWG5d+Em2LP5DfRvYVCR/HKokj9i+bDcO68xjTjlVJ5FDkHBmqmM5w8ebOMd9I6L/hkaXe3grK+BRZn9h6j7Es3pYn1i4gwHq9iff0o6nqCrBEMyfzV4pB0hCBK29f1GGtrh7C6viGm/CEk+hwA6roWAddIXGtiiClNYAiN0K4xAqaF91UysU11cUTlq5RnPkah2YPi5ESDEiE4DyQtZyuR08mpxlP8OG1YYwQcMeArMB8sLeBB4Yw0m8ukB0ApQegSKmZX3QnlrFo609CZtMOC14SmRaM23cY4zkrNZHGtaXZT/sYQ2vTJkgjzsexGdZI2z5sDLhrs2WwHzKY2FzDNZlXVaGYSQKBRM1pDVDlHWIWqqlFVTWKKV1YOiSa0MOEQ6UaL3Ru3sH1yB6sbK6jH+TC1Q9Z8RMer4xRFMAfpUCm7Rg4LmmNsvDpGPbHFmzeZmbWFNs+v+KhIWgXpq0sam/HqOJm6BTXZFWmxhI43ZF9GmSVSkwXK60PCXFfIOTJbxGjvqslEIdliZtz/oQ/FkcMbuPTwYdzlLvfEZ195Bdy3fRl+7Xm/2GXal8ztst99KNexreUQZCPGUOQZjaHbXyxeR33CNY3zKUiSFkkTF91fpAkZj1ewfugw1o+sYTQZZyakYKSop8XKxB06qQZMMucrnw7I8w2IhGkCNZ3AXUY8lGPsqxxttjTB9kAKIpT8j9uIaTsVE6LClxqQ4GpefaadHky+Uh9q9X90FuETuqdo7txNBFBKsxLF3KjUgJWQiCLvURfRs63d84IIl9KRkPq1UnJh0CBAoSuN7zKs+tfndWQMQCmdtzVo10ripSyTU7lGBBT8mXOdOjOzXpgwa8RgM89Mfk3mfpGEBsVZYoOufutAYfpczYe9N4sR85Et21QKV0tNshCDeZ4RGJG7+IW1syXqS4yUcxivjNNZQb6LF1Iu0w4uct2gIcbMm0keCI4dosu++31C2/4SEepJjdFklAl979XUllFPanHRKPYARxYtZWGaKAIcmmdunQVkorQWpYVpAJN/cpnCxdpt7ibVqFLTcI9KN5TNlZmjxxAw3VnuJjHAqcHZHMdsJVZai80zmXYfQPqdv/eYT1AK+AIAMcoeCjGgaWcYjSZidbVruKO7bw8wAF3mCb193WT8kYT/xe9OHTFH/bZnyntlMM0Sl5dWGSVDPNemBdeSwCcJZPMntoWwsfces/hkt7MGm5vHMZvtqHZwkeaZUJqxzvWt08Z52iqDWabE7pgzgxFRVSOsrx/F+vqRRH+HEJLbljGaRA51nd0ImCWf5urqYayvH0r0UxmYz2I22Jke24DdrV0NsqkZIXyd1oMF8LGzj6hO/bLzxXiaEBqJzxBNy9nCOZ8sACVokIcj1zHJJSJEikA0S45WtONqUtu2Dc4WnDaz2ZU86984TwALQW656ERiaYECnCPMpg1muzM0u43kiZvNMJvtYDrdQdPspr9m6mq5GiUATUjMpEx45vJl8XB30y5hOBYhhL2QRIwRTbOLGKukOpdgIKaBUx8Z1eQ5F+HVdFJU7D1TBU0BsrZ2CHU9gUVHi6GF9x6hbbDLWwihVdPcUlucTQxkEWYpe6cO9ZdJBGAxP0ak2gIWRj8zSzaHRIR6XKMe2aIXIrFNPkESPVGkZkAzzQjBVPtJhAKRYImDtuSJilEc2iVSodfvhmhzUnavSP++X/hZ+IvffQM+43M/A/d98APwrvf9G77nKU/Dzs7JBSYX8zn85HtcirTswCnXTUKCyiyDCJLepSsF6iPEZb4ipuGOoZ1z9jateWnaYUx7KSgpU8csq9/A+wqrq4exdmQNk/UVjMa1SGxdPrjygYyO35wRekSUmAOnPnlOEWKze/aQ0+0FjCj1UdZrPvBLX0inB0nW7JZMkTF8GxdsoNlt1MqgTYER2lmjZ0w+uEPTptycza4XYj2OhCFTrZwdak4ltiVuSPeUQRZG0HWCsvVz85amns6JFlKYDCdBMPQ9EKFvVmsES+n/ZwyMMUbL8KqLDFQ5cIUFpbJ2lwxbn8kIbYSDRURHkWOUEo5ylVcGJe+Jqq5gwdWcz4KD0hzafCEToxm7bSn7buMCZF/UxGCq5tH8A0u/2JKhRnp+8ThZ0Ki+2ZuNV6nNTibxBfNaT2q00yaf2b16OoxcYTIPoJuvr/hqAooQNOBRFMsXKqxrjNE0i4gyzYz3HqNxjfFklJlw1fDWk1H6bTinJLZC08Jr/aNxvTB4kPWxHo8STrNDz+IPmJC7mUmeWg+f5l40s5S0vW0TAAQ009nCORpgMfQFVXbtbEAmyOeZTKA4f50Q3PqS/lkQHEiZHivbgsGIRqibg9b6IUKIqVglLMFXfYhRciAmRo2oE6XW3rX8vK5yyaqj7HunCo0ZcBBIuKa02kkByNBhIOcYW3RxYIeuiuoSEnmOL7A6Qxsw3ZlhZ3MXuztiKeirulOmzGNX45zvuc41o2XLdxf1F4AEyinKYmZMxuvY2LgAq6uH4L1D0zR69pfMmUspSrLZqUSdXV8/inpcFzg/RwhmZFqKmbGzudPBH8n0tXRzIFH+iA9rNxCf98Y79DSsMahrmgNRA6KVpMhpWw1IpC5gIegeQas41YQCwnB6AOzj0oBBpwqnzWyaJpLVL7KdtcKkJD9JkVBamg0z9ZztTrG7u4W2lXQT29snsbOzKekY1ORVGMqZShHCHCHeZyb30kz2v/dhb2S32GRB2hABiPSAIncQVsfPDwQmiaqakAr3GQVSbWnE+voRjEYr0N6pBK1VIiSoltan9jlL4uu7G7FE7GXgihSIghmzHfE5LYNW1KM6Ba5IQT8sUuJIzJqM+bBoufa8HeDGvBohlfwCi+hXxUqSPGsu+wOkFCfcRTDMrIhHgi/99s/+L3ziE/+B//snKxiNJnjjn/6h5GdaYmaSNiRlQs2kZfPrQBg97zy4YFRNgy3z2YvUG8v112VQF7XFooaZhN+RRxuatI4cZT/d0ueknONSe2/5TEtn8Ox/Im0c1WMcPnyxJCp3qj2rfIcAy4SsHXJlepeshUpMTeF/vXV8a+HYn8tgB4CkA2E1z6T0l4iS72UZgMcC+CSfNW+aP7mfNVjiz5ZMKI1Id5n5AYSJ2jm5DRH6jGQ/jmsZf+/AxT7PWq5CuKP1J0asMN9aFJSNGUDMQdaM4O775fZN1kWgZb5OytS18/lwLehUWsttBMdGzLVTnlIkrWMM2cTe6hUte25LEoRAtIcp5Yz3wAidYDzkHTw7eDUDnzOLtXEJmflKERg14F3qbwdPWVvsrOAk3Q49bXI5JuQWmP4XhB5U+BabkKMKmynpghzHIMprLUYELacaS4or0/TNt7uwRGLurA1SZjrXpWugcsr4B0TE5Fpj50TfZL/TR87nrDHNDaBt7AoDRehFavaco/taXltb72VAp3QgaYNJmUZLU+OcgxuJsGjUjlBVFdpZg+nuDNzGJFiS/UOAxieIZ4kIO9/hoLTYqULJIJa+faYAMGFtx2dTAzWWZQC2XnIKlH4wIaeuT47EfJaVTjGTR1+P0v6d7kxFqOJLwc9iBlDWIif6zQRT9mQ/DRZaw3tdOiDF1ih85QF0cp/HyCljALsCTxTaSKIc1C7Tucj1F9B5J0uvhG4IvRQnnN10YpSI7qFpMd2ZYmdnE6FgtKhQSHSIybm6Q6ev+ZWMR/v0o/01ZtXGeHX1MA4duhDjlQk4RMxms0RPAdAcqwygTmuEWTShk8kaVtYnSZBr576di2ZNErZ2O4yotdXaaQGH5F7pL+xRVVWnTzkwUqW0ugg4oio+nAUJoka1muLDafulbfWvrY1iLBM9C8Arj3U2/DdPm9nc3ZKw3810hu2TO9jZ3MF0e4rpjmgjzV9S/u6koDt2rWlmcE60drNmt9BO7s9MLj6slsPpI7i9pUOdRYPlbZJ29xgO9QlFsYCYWSLZMqOqRij9G8FmVtafdEl54mHStTxGTk3C6lElmuTkLyQLrZk1nc1RtlsYEQ3goUwoEZLkHVCpXN+XzDkgii9tNao19cks9a9jFlswYUZURwDEGoY5kubmLIgiIxaYccstn0BVjdDMdrG9fQJbW8dgYZz70NEQwpjibNbdn7tO20BpKZhQoTzcukjA+lllptfaXiDNHPQoYNZY3rauE3pZZv7eleaVZWU/1+x/3O9X0+zi2mv/Ge/5m0uxfmQNhy46LBqBXl8AoJm1KaBBaXLovetoGVIQA0cJL5xP4DXaqkh5o/pQFKkYvEM9qjs+dUnAYyaHRJlZNKbC9pr3GE1cyjUGdAmpRDQrSL6/KUKwKNJ10jrb4dwn0DPRE5OwqRTmlHhD2mQHdulPNC/BNuFa0moq0+i8ape8g/B5445Qq8ORWeEQoiyoX7nXNWXQ8aMs2mitKX2LrF5XrF1jPJLmvjARNW1eIj4LbZ0lJTcGLuHsguG0+q1/3OlPTo+T9hm6RJpd7/val4JJRCTz3YQToqTxSHiljSm/K5hhqWTSbxbs6LwHSOIe9Oez086irxx6/TctcWq71tMiCWKcF/Pd0bjumMMmU3MbZzUp9uoPbhBC0HRCvhgL1bqTRIpOQa5KnFQEELLI0SkgXrH2xOqKNeCUlDFZmyCujFCNajTTGXa3pmCXBRFGvPUJ4DsilOt3LwL/bMJ+prKZgazSc47cQvNMaa9LZzVpcBcL6GjZBHJOTq+aowbgyQIGRvD8bHcqaaMUR5XnZx9oARNqwfj64ys0XlC/u2yJZOUkU/s5HG04SYRFhHk83pHJxMzAJnxNWbtfBnLtCBBNYLck8iwzJwXVdEf4hagmpAQL0OS65S5ZW+UzJQO2dJwL3GZKhlqF72sbh5KQqe1YXcwLyGyeq2qMyeoEvnKa0SEHDLWxMH7GGOA8j7FYV3mOiCxgsAUNYqU9Cn9NZE29zL9ZdeazIcYI0nENwcG5iAZAXbS/bWXfWIoUy8fZ3bMVqgopleGZwGkzm9f+yzUgIkynO7jllo9ja+uEaid3kplr0kzGPBhCYLcLCe+9/Nz6cGsgsTOF/oaYi3QFjerJDPQ2Rqklm8120LaNBg0SJBc1OqtzQRFKDrBjiCL7ZYm2hCqfGMZm1oBnKtmus5TEzIiSv5R3GK2Mku8VUWY8O2ZZwJw0vR7VcJ40CIMwvnVdp9QmJeRDQZhD+b0YoZRji3LTpwPCIgFP4P0WcjySbjkdLSYJc7cf49knhmOU8P5dE5ruJkzrVwlKYqiWoYyIl01083pfJvUvv88LXMrovtYHKbuIIKcQY8Tu7hY+8YkP4eQtD8R4ddIZKyPCjeiXtZF9HFL4dwCBzW9Zkd4CDe75ADFwCthS1VUi7s0/x3mXgpfYnnSO5iTZKaDXdJqI9Kr2CEpsW45dI7ztcHK+axLkCtPmZib+7F4jfVZF2oy+xjFpiRJDKtfLJdcNRJHrA4QQKwmjhIOKkPiJeTNfRMVVHWaWs/ZcrHpcYuRc5TR6eAv2MWk5O31IUn3T1haRbgsCJZl5OwKrn3lJAJnGklmi9xpztF+uWMO3gOzGRRHYY4hJU22MZn43E4pRH0j7jrN2IRbjZERcGkMUgoKEv4VwsXQ0Ml8FodqbbNMem9lxJmSoGEbq/BUiuOP4ldreZ5idd6hqj/HKGNWo7sxbEqC2ocP0xRAQvdPIxoR21oJI8lLnKM1ImvNK07RUlU9t9rVPgZiaaZNzjXaEJgWBrf2a7c6StY6vK4xXx/AaoGu6O0tjjd7431Fh/mzK3+eJ1jODjuCtDPgjN9EXzpZMJvrvUbYaKt8BoIxmlfIeloys+b4RkcQGGa/CsQQYKglxV3kJejXrpqMrhWzG7KU1VAiUzJQWWEwPSE5m2YcccwTa7jyUa7PrTgYQEOaDXy1klAoXBiyZz/IMaJu246ZRPmNRaUOImG5Psbs1VXpK6y6ECDqteq9v3dC1jOszmRmPuZTOJI15ojE91tYO4dChi1JQMYtQbfU58mCKwgS7PE8SUV4EaDEwdjYlQ4IhlsyMVmm99IUSIgjpjpGds9XIz71XChukXzngEVAlgW/UtDF2Jkg/XIonEkIDarMrWHAepO/I3LSoa/R8NSt4z2A+Mxep02Y2//mf3yLme22Dre0T8yZ8fDAz13IQS7g9MpMllH0yJsau58AWEVBm0Z4Vf8QI5gDAK9FaJWRWLr7ZTDS+VTWSgEbMiLHumowUiNTswxNhoONqec2MUHOVA4eIelQnxpNITAHJO1TeFQEwxETKeYdQIMuyfFc5oM1EAHOb/Id8XcE12UTQ2pzfNyJ03u8Q5FQDzHk8e+8ZOOdQ+Qre1/uunSzh6pnQJs0nzzGeJdLiGBBKf8o5IUP3r1YizB+V0tcuUs4BTLrI0w5VNokkyoMDvXHJlgH54Cg1n8rwtDNwiCnQTxpH0x6pVNVx9s004ox8DoQgBL9fKJ09X8ACHxEVGhknhLRX5tMXZi4cI3hUgaOaDGk0W3M3kANDclaGIHlLkcwACTFUyZ8zmSiXZsvUNY+1uZ3tzpImqBrlZNOd/bBgbcqhJ2lDUrqLnlVHCtcfIphyQB1zm+ho4dS/MarWrdTkWs7H1A8AMLP2EFPwGWGUc3RWY2D6wTES0xcYzud2ylz5dKAzcxr78j0UUVMt/2l/39r9dF0ZJebsA9o3NxPiyRq3YDxtz3tXrBvOAj1UcCz3+qa9feDICNG0wXmeXKEhNHzc0f4im0RLvcWa0DH13nUYT/KZUS7HxT7eu6QRKefe8riiYEr7eM/ABC8W9IdZo3E6wbUW8Ti/L1HUy6BMMch+sHqNkAUghDxlISM5KcNcUgBgtjNL+32yvgJXeTTTBrOdWUfgcUeCU6HJzpR+6zON5b4stZjlswDmGMT++8755I9pLiZElLIG2DP22xXrBlBzSi9rrW2mqOuc/iaGIMGnIGuwnbXpnAiGj3TtlQEyY0BKtZTHTgOTIRZuSC6f8S3DLC6gIYGocKnqjn/PSoG6vxdNlTGH5e+5+6ktYS4HJ3P3HWZN79RGtNMGu5s7qpAq0nC4LpOV3+8Hc6K5e2Vdad2AhP5WOtxGYjya4NChi7C6sS50rbr9SRC47IoCJ1GIS3NbwzXMjNlU4szEEERhglIDPu8znvvQG2xHgNLKVe2TUNciddfjGvW4lgCfatZb8gBl5gauKrStPBNDi5kThn42m3b2lLTDAc1UmVDR9ubvfcXBmWcZOG1m8/rrr+kSrh3GYX/NpMEiRvNcA2Yu/AB7hD9HkPplJmluNF8RzdmIrtTMJt3KY45gcJY2FBIUW3TC6GeNm+VEs/yXAFCPJAeZ/CjabhELfUZqQFcQYG0vNRI2a1VdYdZa3rIsBRMESkm7GTg7ZXfGqhfsRuoW30x7zsqNpq2zABGhMM0jh5WVdayvHcENN14HMKOqR8mncTSapHfadiYmuM20E6SnaWeoqhqz2S6IXHpnOt0GlctUmcdFUB52uS9dRNlhmI34Se+XpkCF6Q/65dkb2WxOxkisCFyxD8UhvCC2IcyOILcuAWgMJbVdR/dkphZZconZgRllfZcM0PkESVJZV4nR9JVYANRjC9iFxETawRraAIrIPhMp5UV+3nuPAMk8kuacGCNfpwA2JaPTYXrQNS0l0vyNPnYCsNge7/hlWhkF7i3NcO0R6jECKBhdC/yWItWqT6Id3FamBWaJGjm7X5+YSXLS2Iq0mpRBj5L4XLWNfSbbOcm3Cco+5imCrAnXzNexYLSEsSwFT5TMajs+itaeSAlH5uTk0o6yXPPJ7BNA1t68nkwraznoYvpUtWhDSrNj23vcma9SKJXrMXPhJEW3MXOAQ5e5dZVEOu7n50z4O2Yf/PJcNy1kql8FUplhVy2o+c6Srt2oJrAlk91Z3xKJOY+/MAK+lkBVbdP10xLi2uX9WQgWgo5f0pj0g2Hp+gIgVkDe5XeI0LYt2lbWymgy0tRjan0UZl2hxHkItzZdNifYSdd6zEXPHWVhQJ85RnS+HKGVMkMg2ktlDjX3uTGxfT9PA6cZBohIItGGBrUGjGFd61VhGtk2LWbTBmPv4KIDE9SQtQuWns6+RxJmUkK/ZdPIpWcBZ/F4n/FahjP0tQ4kVwATHqbfWp7L8Vr6Fi0lXrF2sESGE6Fk06KZNdg+uaO0YptoWwCofAVLHcYxJJo6zWsJ1L3WWUd9RikF8vFYWzuCQ4eOJjrYfOnz+W10uL5quLOwMJltbedxgSibCGV6w/wuhwhX0FfprOkFMButjkRwrfU1JpQ2pU0lGSQMLH1UO2vR7DaY7ea0hsb8M0eM45ryZ7do0CDbJw6tE36i1bQoZR5rCx4UfJuCsZ4pnDazOZ3uADBGYN7s6FxnIA8CmREzYiYsuB+79xzgSIbdnHhBhR8RuikTUsLYQkMqv7ubr1EJxXgl+xE4RwhtNmeSA3MkfpSJsCBExBR9NrYRVPeYTNtopbmYIsdW06FY/k2iHHwhtdVnnyLrVx+ILLVBHkMhrjLRlDVzUX05I+5z78/Ht/zYN+KWE5v4H9/z03jKd30z7nz3S/G+v34f/uUd/4Knff9TcHJrG6/88ZfiaT/4TFx6wVH8yW//Jd78uj/GD/36C/F9T/lWXHXVF+BbXvDNOL65hf/1w/8Dj/6aJ+CF3/scPPBzH4v/+gvfh498+BP4yf/8XcLAdic4t79Ehj1p6qL5kmtqYrOAZsnEq0Q+XATLiJ3EyBoTm9ZDNunZ2j6BYzccw9FLjoB80ykzSfd3ZzmCMYlkdrI6UW2cS+akpbni9snthW06lyExgVUOjDVeHWOkaRmAPIVc5FCUQzYLUrx3oJVxYWkQ4KsqReEsQYLncJK8mrbQlpzhBpO22nXTwoYQwU2OXOq8W5gPuXtIFwReEdAIAPrmsykaaGtERNtJ6WFtlPQ4OfiD0+ixmfCPHdzhNUq5q5yEZ+sd0sY0p2aTaJ9Myx7aWDCDopknyi4AlHDtfP9zvkWXI7EypTRP82PXKyNm4s958T9nFoEMMaNtckCaUipt5p7MLGbaSnRYxPZQBMnpjH0I3fr1O4coa03TrhjzFyM6Fhu2hmxM+gxk7JkHpyi9oact742JSf6ZOafASQxAZmbLPqX5gusQq2JWqPjLe9TOadCysk5dr0rUTXdm4vtc4t8iiFlEPvvMzzT5/ypDWwpqJDVBwGR1gpWNVTCL9tX7M8ocd7uFs0G79c+9jjal90znPhbho66/Y3lGmaayg7uW+WWm6y4xNnU9SveMweyXk5ujz1BmSmezKapqJFFUkYPqeLikoQpNwGxnBqwAFSqxwEAOkGY4gTUcf6LfvJPItMW+7QuGmbnHDC9WFHBnv8mzxmCVzwBF9G/bw7FgQkPXbaIT/Tq909V8hjamAKHTrV0VRpp/oUOMM+1bkffSeW1gweWWa6YQ3HH53IK1BUhgRNNmVrVEJrdzmNWihyjHoihpcLEYKsx9iZIQ1pGlNCzmRZlMfSDPTxHIrDwn6nGdzPdD4UNPzolgQnxREu3h6wor6yvJHx6HJVf3dGeK2c5MommrWa3R7nU9zmsbhJa6/QnBpT4aCD72KXuG97eRz6blhekstNMGe/fckxRmDZWYVCa/kiIKaL6fg/wwM9rQAA1hNJp0fC8XVJKiqzE7QTwFgjC/2NlsF3Vdw1U5mIJz6mdH4oBsecUs+qWF9AeruZaTd6ISw9KgMkqWABEhBglUIolpQ9q0IDMHzGYWKJBPRgSGQGwNiSmFRUmUj+9E6bJDwJFD4IjVjXW8+2/eh2bW4vFf9yRsXLCB733yN+Fnfu8laGYt/uEt/4S73OMykHP4zR/9FTzt+74Rr3rJL+A/PflbcfmFF+Kqq74Ah44ewYc/9DEcumADR49eiks+7RJ4V2F94yg+/vEb8Oqf/y2cOHFTh1kD0AlEtCygj93rRqfNBHQ/1HV3fLrrbNHvvL7yWpG2cTqIMuKPuNe9HoJPv/v9cc21/4ydE9vYOrGdNVSWGkJUQdjZ3O0wNORz8A7ns4+vmdVWtcfmeRiN1lfi9+y9T0npJQWQjIXt+ahjmOZK90FodW6JUI0ELzSzJs1VqQ1LUVJrn4huCX8uTBmlA35eSu28+mMX4ebNXy2EbmCckvBPMgkNBtXJseq6a9n6yUFSQJipoh2SXQGZ4qemBcz00akvcWBwtGineQ+ENqBlRlWMIwUAPQ0ukeEZh8iZwQ1tPjAtlUAfyj1m67u8bkRgSXSZzMZ+57JyRNRSyBdjzrEZQ0yMcyZWsvbVXBbqUa3aM6dzQvMaxx4QSRC1co5E2+wS494CKeUIMwFKPBJRyh9pAskWmbBMtF8SWFFa6+ayYQdWMrNX81dEW08q7KhK1WsX/y3K32rjlsy1VQhq2ssk4C6YdyLxYZYAVVn73lkzyAFmbI3kOuQMMzPcMhBTO2sxczOMV8eYrI3F9337/AuGdirQ34+LmML07AImcr68XrDBBQxr55zdQ4tpf/sR3VME+Kru+Gf2/TutPf2zOOGdgiFpzJzW10IDtgGsAhdvlmdNwAwzYMzJ9QLFGgfUFYCyYJ1MiGh7o8ec9/vr3Ly/ueGH8m8ynTd83cMvZd779FzMeM/OuLkAZv1rit/attVMFDNNGwSlF7u8g/cVSstAwZcLxn9u3RBAXrShGhelHJvJZA2HDl2kEfgFRxjOTjS3IxFAUBZATbenmO7uZu1lb8yNefPeJZrbxje6iFJTCADkc9lWRj0eJQuSEsrzpwyklnz4C6G2U7qkGlWYrE6wVW9hurUrY+2BKkRU3lKyRIRSWIHYGdP+PmrbJgeTOkMh1Gkzm2eHyTQ495jMRdDRUhURaC3tiUV7kk3FCG0D53yaUABinhhkcQvzVYPB8M5lolSD2jBzjljGlq8zoh6PUmAgIOMoyxfGDLCaVJo/mZlxlASjXTOEWJoLpnD+ia4mAJwljM7BIvUwIy3qPqOViQyXzN3IebiITjoXMVktJObs4CHJcR/16Ifi+uMn8Ecv+TMcvugwtrePY7Yzw8r6Cp74FV+ET544gff+81txl8vuiWbaoGlneMCjH4D/+1fvxIO+5KF4///7V1x177tj2ra46LKLc/sB3OceV+LqJ34J3vfet3fyti6DPjLsMujZd7cci/K9ZYzmouv2fNKQIjPAEpTIkAdgKXYe8rBH44u/7pF4+Y/9Bo5cchSHLzqMrRNb2N3cKXx+s68vAKDKWlEjTpkiYpA+eE1bEzTIx/kG9bjGyvoE47WJaDSL6L3JvNtMKR0BRUoJMbsVLZRPB5KmA0lBuOaFTBtH1rG7vZsCeHkARLUwJyGIHwpK7Zr6zhIJTojdtWoBZ5z3RSTC+Sh/Zb7VzvuFYCSquWzJaNozfSsXWUdtPjBdIUE3Rq9gzgHVds4aJYTEhGg0GaXANFIPABW6BR0T6PMiMKFOX4yIzPhjfszLPJVWhsmTyoAZNq9Z28xJgk1FCgLbD4mYqhwoaL1EHWuvqqpSEKqSCCwPeRMGdYBybmWiLPhwnjUlQ9URHjgnWlvHbi6tCCCBeNqmSONkjCZRJ41CH8T8t0rf7V1jrBelfUjrqSDKnFdGvNUgW5xzPFubLShXYghVqxlVM1sykmX/XGJy5bf3knLLtMvCROSURUTiN2Vaj9C02N1ijCYjrG6sYPvE+WfFsRdkpnKJqWuPaF1WxkGu9wlgAN0AdD0GdK5t2h6LJiqMp0t+mF7jOwjDmd2W+lHmF53TxmjkMyCgaaZwTjTvADSysvqAGmPZBkyZUUcGUEvEbkdgl00Yk9+6WRogC/DJFAfWFtcbJyduFFl6KPrQzETKXjN/fnMbMOZSQ2TAFBgcujjABJN9BtWsRkorHvPlt7y17axN6a/K9E9Cs7bFeLpEH/WF8futITifGE2js9fWjmD90GGxQiLCbHeWhKVmylpG1beyt0/uYHd3S5k036FVS0WOzK9P4wmdL46k6W+y5UROhSJ0VcloMouwmLhLC3bMmknOLaMBknAziLWPmQSvrK+I+5zOWwhectOHnnIwpYiZIkbT6Esw16oCYhSroKDmtjNejv8PAuenHcinEDJRlplLShs9azRDbOFdlQkqjpJbKLTwvhbpdAzF4jdirJDw9yRtkUMKauCrGlU10sh/lfi6FGaOJeLsSLR6zFPWcFHHB6BEwJInqS1wWlb760MdbUUmiLvEbSlBVHupTIAA4NhCTFeEuOwH8Gg1OtY73/VevOQnfx4htHjcM78EX/9t3wtfV/jENZ/AS37tNbjf1ffDPT/jQdjePg4AOHLkTrjnPe6GDzqHiy69ANe+9xr82wc/Alc5XHT5Rbjszhfj0Y9+OsZrE3zgIx/D3//l3+o4dvML9teB9T1dQ9nXLE1cdhDPlxnz2PSgHMvytzGedjAlJlEtEY5ccjSNX1V7rG6sYLw6xombTuDkzSfn/LZQzDthuVnwXgzxuQ7VqMJoZYTx6lhSABUHviSu7kYeLYlnZvNdzmZ65CQPJJFoUDpaH4Xp7gyT1Ql2t3fBDYM0uMSivcQhpuAC5XbOlglZQ5n9xV3SiCXTKyVwumnO5rVNoQ2SU9k0mE5TVxQaPvPJS/uVuWDkqHsPeb2R93DeJ0sJy/8qDOWs844wJjn4kBE7wtR2fROtjpKASRNW9K0PfW2l4UX7m/ZgVIbTzDFVmw0HMcVNDG+es6gBgawfyUzVmJ9i/6Xk6IU/qQUVSf2zeY9y7jhv5p5WLqezBchBnkwDYcE2fOWBtmA4i3EqoQxaZblLjcAtteiJmCsCnNjvELpB7VKAp2KO+kIPw0M5p6aeB02bx8aJr1s3yIkJZfK6KX2Iy/0ag679Kq9N1gjDs90Z6pGYsp3vUKYZAQqGsxcJdhmzeJAzYZlGE0CvHpp7fp4BLuMdWOoSy4Hs03NJy2lxM8pyNEJ+X+Bm53hqB3K9oW0QfIPK/DeVCUv42hmNo+abzJIjufYd7aZYHgg9ySTCrgjAq/TYmKIYNMWUc0ipx8hckWJiDomyhZm1KzQBqMV/O7WVGRxKxrTA1X0BYt90FpnRLH05m1mDZreRPOxmeWKm/87BsYPICPvWJf2YFKVQ1c6OfM+UOOW6qesJNtaPYnVjHfVYApSUZ1SZhskUKeQksvnWiS3MZruoqhFMsKA1JXrM+6oTKNH1hGkl42q+7M2swWxXAjOuHl6TPhAlNwt7z8YYkAj3McbOmczaBwselYQGxfk2WZtgZ3MHROK2UvlugB8CIcQAaHyPqmLx6YTgPPPv7FsrnAncjphNVcWcg7CI0GYwSDV6RqQALWovAWdikga1iLFVKULWfjIHhCDBEZjVJEMXHlGA9zVqJwymOSa7yiVG00xnrX0mWYmxIGaAJP1YFF2vf01yrVmIa01AbzndtJy5941mgkPpNNZnPIWwdHAs4yRQgRDS2BkRb5phIsKHP/R+3PyyT2J7+wRiDPjl7/k53PfBn4v//h0vkMA/vsI7//INOHToItx4w3X48998Hbzz+KUfeDH+5p1/gi98xJNw/fUfxsYFGzh580m8481/js1bNnHnT78L3vuuf8A/vOEfcNk9LsfoH8Zo21lnzvP3rCFguaD9yr5hKPq6H2Qm1ae/izSqVhQXZnSGbCwYQjosNCH1xtH1dChUoxqjlZGOqSDMkzef1NQ1MQUA6oPzlHwPyvkE5tfM+QKuCHxSMij5g3StPMTskPWVyxoTR2IWHyJiEEbC9/yaQxMwxQzVyA5KZRItKqvmWYshgtS0sKy/DW1HK1WCSa7n1qIRV5wl6R0zryLqYGxzEKIULbUkQlQbxWqtENoIc3ET6XboMH1EUqeZC6WxMwa38KMzTVY1quErpAi3zjllgiXoTdYMuI5WLjO8y0+cMtDZnLa+N+fWzyTICzmOQTIrC5YoXQgu84+06RGioDQxg/Ypt0XK6QeI8iBNTcSMDtERWk7jwyz+vOxYgoIpw0kk6QA6qXYcgWqPZqZai4zEhNA1pjtp810aTxQ4Q4isbGZvJrVJ8NEzcS0ZyI6PsAm5egIKIKdvCT0/UtE6ZM1lIsQKvGVrwrQ7cCKkQIzwKgByTGlcg1kxtAGzBfj4fIE0F65nOtgLetdn9ObK2IOeY/Di+0uZ1nkzWQCdcy4zkibcqIqgLTngTxn4R84+D8vxmMpmAiEjCIs2WuLZjskmESIHhNCgaShZEwhuRxIysjKC5qcOjOAcJwG9lC8MZySld8x9RwPzpTFkDSqkOLHMRtBXEKQ2M8/97o91EjSnZ3J9HUazp9E0oav5aM6mTXLVIpKUeCUeXiQ88GZ9gPk2lutNxjYWayCvjboeY339KFbWViWadRR61VzI4CgpLnxKEUVodhvsbu+iacQP19ZNd63pGqt8wmnGNHYtY0wJJHO3u7WLZirC0pVDq4kBtvMs9s8nh+RvWc6LCRLL64DQ4Wbt4TyhHkuOYMBSQRX12XstEH2FelHKP5sjBEC1nIto0FOB2xGzef5ByXAydxeHBFayyKExMZH5vvr7VHViJsTsA6jrUTIBMeIATvL6pBxnLjN/RqgGbgszK0rI1RikkhBI19PBkw8aTpvcqflFzM/bu8UzsHLgQSiRG8BUpjbJtv8ieQoIAChalDCPEJRpr0dgrrG9dQInT96M8XgVITT46Ec/gP941T91GMMSEf3D378e5Dze8563YHXtEN71rj8HM+Oal78bDNnMv/eyX4ZFAf7Hf3xDKqcvmc+QzWP72s+sncxMYR/690mvdf0Xuu+USX0t1Ykd4E59H8T5PqTotNVohNXDa2LOM90WhsM5jMbi5+sqj3o8wvEbj2NncycR4xxZiOm5dnfXBYB5wvx8AOZM1LbzpodAOQSFqWYswtUX+8HmzcyJLPqgSTXTIUiE0IgJqq8AtJlR8rp/67FEcjWCuWRaSkazJEKSpgbzfp/Um0sj/kPTJjxSEu+lr+YcFGasYkacGYkU8dpMjyrTNBDaNiC2IfvWAPng9SIR50iApqk2K4tqlM040zyFmPw2+220rvYZGINW+5yEDNpeZmN8uu+XRJGZfpaEm3MObZTogaU2eDSuM8HBXfwo71nbssTfHrO5VnpXg184WK5ley7GqII8pMBDVo4xeTaPwneJGVgzFUl8Gck1CQM4fy/9dB3ymI/XJllr09Ey6vipXNFMY5NmxupKFhqZwOxHJM5hPG388/g57zQtF6X9lcbXqWmuhIxO12yck99UIvAqERS0DG7FjPx8hI6mL/lF9jSbRnQXfo7zWsDFFjyS37oLewU/7DOZpR+mMY+WU5FcERVUf2fm0xf96aWa612zczUxDij7b+nryjY7vS64PjQBoYogp2bYHeuRLORopo1aHlSoaiBGY4BdwtHmey5yTkmVUmoUHSI4zgcYkrYUTKZFhoUEgjTzXsNvOehbQBmwrm/xYX00808TnhlT10ybTkyCPJ7zjCaYU5AmC6aZ8VAAgXNuzDIqMXctVGz9jMer2Ng4ojlyq3QWmEazzNtscSeIxLxW3FaapMBZtAaN1haNpq7BwoTWnjVcFkLAdHuaTIhHK2J92I/cb4yqvS/uAYWwspjT9I66pjif8xIDZlnVYrwyxnR3JvcrifnSJyQXMfXMER6V0o8OCCbY7gYQOlW4HTGbt3+NSF9SZJAZkPl32IL5wBZCSFpMQoHUYpDE48Wki2SuxmSyhtFoJeV0MqRoCafT8yZRdjmqVgwhRai0PGsxRHhWyY4mwBaipTgsHIE4H8AxivmFSc9q9VvjGAtCPNuRp9QHPkcJ1MZ3mEtjQFm1nrJRapscEzQAAQAASURBVLXjR+pPCG1CMDHKsg1FAtuqahFCkzQmFp3XAgAYWOJbY8AEcYaUpy5pKZmAwt+xXAP9gzWbgHTNUuReEWGN5s1w+0xrR5JbIlcF7yusrKxjY+MCeF9jNtvB9vYJbG4eQ9vOEpKMMaBtm07b62qElfUVTHdn2Ny8BdNtHaPKCyJYHUswnFGFGz96I3ZObIuWBoCHF82VU7+NaIdASXycn5pN04bMMyvZNBBFBLo0hzYWol6Dr0oiAYUmrzjMkhYoB41gjrpPRXBkJkDeCw6w9EbBTJhKf7sFYJJ4OxQBoQvKIGUEYezMJKqUmjvngIrRTIvyAMALc1f6Fqao1+DE5Fj+S+mvT9JfZkYzC8lMt+3k5JQ2+p5kvy2Y4NKUKQf+MQa721aZB9UgFIFgknRaCbPMoOfIsVbYMkFvLAiENNZOgsw000bqU5eBelSl6K1gRj8qsc1TaGVcohKCmSjrBtcRQps0FyUlYgQA2iYUB343n50R5MkMzmVCKgYJ6FQGspA1kAVwZgkhdZmwUVNE7DbiJ2aRHgumb7bbiJ+lc6hHWfoOAOQpP18wF2V/Y8ipBZz3iJYuy7TBkXNQjmK/EpHmiwU8+2zJQSRCO11LsjYdqCS4I3cCN51vUGp0FmkwxfdxntDvC1/6kNfb4vv2jJVpAlM7B1ME0KSh7DKYnTYWWtmSKTbGNPfTp+9WvzEJZZvNz7Psg9EOzOZr3fVVtvRXzCwCJYtEaqaRyIxcjIIXambFB7ktKbdzIRDqMpQk7hzKeObr84wmM4PbgJisyLr0bBaYoYOLynotgqsJHQ0nGc62syLTglkQ2i8PRPCu1mvZf58hQe1ijHALzl7RNHfpovF4FWtrG6gno8RoloG+XMGQmTCNiLC7tZsER76qizWYcY0rhKKCFzN+ZObkT+wq+V3VEuiy2VV8r7hvsr6iliVZ8CdfCZGMNsjKG/IEUXwXNKVXhlfXRQosp+d1aFvxoR/VaDTXq6s8qt75kgUp+RyQVE+iVUdhnhyCQ6zOLP3J7YjZvH3DMuRoYAc/eqYW/fctVUxV1clPp6pqjMbCTFbVCFVVi5msajCN0TRk15H2Fwd3IgY9qfmZLA5jyEySa20JIYh0RqU9kQrTKIi5EDk5lEMMiVAEkJOHmxmYyxoVWfRiTlGNKtFatB6luaf9FZMBlyR6hJiC3MhmkEOnE7UQmQgNgVTbO86SubCO6XRbkwY3+rfNzKVwS500AHl+xSaffCaAidwcZcnU+104tZeHbbkWiHJ0vNT/GJNGkpxLc15VdTo0nXPwrkJVj1DXY4zHq2kdjEZj1PUIVTXC8eM3JBPjptlVYln7Q4TReILRZITp1i42N49h5+SOCCPM9ymKBm/t8JoGaWmxeWxTiWBd23YYRGFCzYx6kfbifAHnnB6gSIcGgHToWGYa8pKD1JiTxIia261TabUxdf13i/1rzAc5kejGVsxjfCWaGuc0Yi0XPqGVl2A8S3BVX0DSN2vM/prK3IXC/Eg3ek5/0TWvApDSXKT+W6S7xAxkSXLSACgTZfWbFpRDuZ+KPgRLXCHECREnwrBjpqzCkHL/Wf+S5NiI0ZKp1PUblHhLWtzSrLZgXvvjar9N6gyIhrSZtaolk2cthH2ZTkTWVKEJCAxoIIjZ7iznWc4VJVyZosuGRsz9ZhoEpfbix29RXAPDFp0vTUoLvBU5JnPdktHv7+2kSVbfMTgU2muXBJnTnSkwE3OuSFnQSaSBsszc1iLXGjOwgMks88o61UIaAWVnkzCvXY3VnN9ZZy8QzOQ2rZ80B7HznNTn4Ari73wDMS9dzmT2rXdKfGPPWjnJJUS/O+pe05fm20Ck+7urcZRP9reUM9W0q2XAlyzQp2RG69IZbP1YFA2+3Av5ezdQTcLtCsJ0eljqtk5uxRjRzFrUQHKDKLVyFkwotgENkOjCcmwtsFp/rK1N4o6RTSznmcNS4AZlhKlbRsyZCWLsrv2c+iQmV6xSm2mpTaxdiZmOPIc30t6KsUPTSruUyWcTnHX3bY5cnaO/Oif51SeraxiNa82OkF0vSisa882sRxViZGyf3EYzbXprvdPapJkWHIrM+Cu9lK1L5MVKI8k301kSehKRRrCvu2eiM9MThvei1CkD05nfrwkfiLo4sR7VOHKnwyKgUNeM3S2Jku0rj7aVfMPG4JY+8s45zGYy9zWyNhmo4ZwoxSw9jXMS7fdMYGA2DwglMlpwVw5jZgAS9dPeAYwo9aiqEUajiX6EgazrMcajFYzGE5iPgSFQSyAcY0gInsgYG6+aglyH1VnmuHSOOtLevilDaCNAbSHZFh8skegiabOc+t4gZGduk/KYRMVXWasiG1LqqGqP2IoJbH8MM/LWNnmPGAALjCRtCuCYTVFQ1ckchjkihBZNM0UIO5hNdzGd7WA224X4woo57BzjT75rsoaYGMgymEsy7QA6bS+lalDkpzdsRaQ22uHnNRJoqlN9MWYzceQej1exunoo+QvY+DCLv673dTpgc6CXCqurh0HkMZvtqEl2i6YBnGk5gzCdk/EaqlGF7ZPbkKAGgniqyqOJ2R/OVx4rG6u4+PKLUY0qbN6y2Tm4opNDzauZByhrR85HCG0Q4YkyMagLiTeJhDTlI1XJZs5jC8So64EKArgiUOgKJIiytBJA14vd9oNqSJ2fJ/j60Tf70CGeXCZipJ1ZEwQHtE3sRiS0ZyoUwodeEBlHoAgx8QVSiH/zRcr+dSERYCWYQCkWucYscE1/fZUCHfPDSRrKmImzci7Kfhgh5byDCyQByUIEOzE1iq2kminHJr/b1Sz0cZqNr9VjkRhLpsjMhpk5Rd5NknLzMWoy8Wb9LyXcVr9EJszm+s5JpO6WczJui0zrnJOolLBAHT2zKs6JxBOuc5K6oSSwLc2OCWFEi6qh/CuXtLbOEcYrYwl0xazroQgaVDn4MnhaESyjE4grxuRnZZFnRaBjUWiFYE8MZyFMAABXVYmZLefUArcQ1NpgCci7xfwWGuPzDVzh52iMVmI4izVQ4i3nqix5ViClktNzVn7BvAHorF17L31gFkb5mnM+R6Yt2lX6YqJgUJ1zHQbTrqX6oH7LMVsJlPdL3ON67YRpYN1o6Xja/m3boAJdB7jF60cEQjEFPyQiUCSgFe1/qXVfJOQq05UASHjHfLKd+o1TiIiUAwqZxYYxpSnFRsFkyu+eb2Yr2swysnXG3dyxdjMmi7Wu0qXE1pXTFH8p1V8UX1jTcDvvEbmIxOo8VlY2sLq+Bl+5wnRWBE5Gb5WaSQnW02L7xDaaRjWavkJVpISxtjrKJrPVqE5KljzmIjCTtuu5SiTj0mRlDznCaKJBegpBhHMuBRfsrCsVUDORaDfVFS8JofWsOHLJEVz9RQ/C6miEyIyt6RT/+sFr8ZF//QjaJqAe1ZhVs0Q32BleoUYIhNGCZdu2M1H+IMK5iBjFstD8Pk8XBmbzFCBv7g4ZmL6XBAigNtWuQlXVWJmsY7Ky3vG3HI0mHQ1mKWlLJasvQGgb1KNxuh5jTipdSuRKyZx8F22mtatEUHJ4i2Q6Qmz4XaG5DL2cQDkyXZb+moQ+NCJBMaYrkuZIi5K7z/U3MrK0xiRV6b7jZOIxh8Bii6aZoW1naJopmtku2tBKNLjYIoQWWYNq6VQK7QbPE54CXV8H03yWprHdv4tNqOx+5SvJsVVIZMsyzCzH+kREWF87gvFkLT/LrAGmYtJ2jkYrnXDtla/hqxp1NcLm5i06LqzMrbWnAkKLldVD8JXHpVdeiuf8tx/G6uFVXHLJhZjUNa6/5Zj4vhUO7ivrE5A7Cu89djZ3cjoK9ZuyPGBUrMHzEXJI85zzz9e2XrM2qvOOHUrMII5JIxNjBEw44z2iC0lSKYdS118MRB0TJIki22NwkkAmzjEKJSRCyspecM98B0PTSgTYIkcuADXPVCJGo3MK0+BRjypYjlagMDmibAZqOQzTOFHPtLFod0moJHNjnzUU1tYYWfKPFoSLBTZKjHVPg1vOl7yfrUVijBrZNKb+LBrPEjeluS3MN20Mc/AdgAqixQR7JV4IymQaUSfnASemcdE+M2FkxkkOQXEK2Is5cmR4zT9Zj2tUvpLy4TqavNQ3R+CUM9rBe0742lUu5+00XzQ9CybrK2nMbXzqUYXpjgoDAsF5ybtJzixwsmBGyuruOeljTHjHxopjGewIac7Nb9UIYGtLGWm7s18TQ0pJo55wNpVj4kAcUrTevQQ75zL0A8yVWk6gZAZdoTnsMpAdYRDmGaMS5nIYLmAwpV2+o8U0PGD3smazNLN1un5LM1sPcIQ6xaVYDVm4LMJ+348+T5k5mhsHY4JLP9AFYHvAO3RwFFDiNihOF59OszAzlwPbszauJowufwPZUqR/DQAiCc5cyGh26KCucC20Ae2sVY1Z6DKxRX2xLdw5OgOQcZlLAvq+L6edBx5MLrtzmZWb+cw7h8lkDasba8ldwPLDd7a3c0UsE4fZ7hTbJ3fE+gtQH80iEFDxbFX79L5ld0jzXuC4thAMhiZ0XUCcnLnVqEbp6pHWiZ5PcwoRhxQxODLPCcScd1jdWMUFa2tYG48RmXH5BUdx8cYG/uyWTRz/5LFkXiuCEcHRptEmAsrc8cyMumYwqxm0M7eyqELKM3MbGJjNU4D9CGrZ9FX6GCNQ+Rpr60cwGk0ScsqaygWLT34U5UaE2MIFj6oSRiOZhAYhXhE5BetJbVViyQiwOeStZkpQG3xhbnJbjDDMzxchzguG0WzSqyLEtIvmcybtqWqPRjdM1g5CN1mWenU0eiGiaRploGbJJzMEkdhHM0FVKY96HqZDEEDKjVkG2+kzjuU4l1rQfPgUCLvHhNpz5drIZrDzpi+OXCeQD4Ck5d44dEH27S1MjgmEqh5jMllFVY3hvRczvyiBfqYnb8Z0dwtR81VZkmoz/7XcSWtrh6S+usK97vNpWB2NUFfShps2N1NCdtaDgrzDeGWMwxcfgvPi25BMC2POf+dJCL7yoDqfwHwoc55ZNTGvuxpJO5T7AhI5YEjxQ2k+FRKBYQGBSkjBefTwrk0yGrMZqg18ebCXKS1SXYXprgh0qGCCspYztEEOy6btREW1Z2PoBhGzaLmWbqQkOkoiJuXi7FlWJLN8J8yXpCjI0t6Mu7rMa2JGvEs+6Z3x6+zxruDKwsj3mU4zx81BYZCkCaK8U42tK8YkdAkE27fGaJaEKSuBJHVlX1iOpp3kpNUt8XQsBEBCFKt5GJmpvxDIi/BaRIBjYb4oRs2LGjDmMarKgwohYD/vZimUcJVP2tEOYWYaSpfXAgDMdmZglpyUVV2hqiu0TQvLfxojS+RJEsl99ndOg5kEW+U6sO9mpSOmlnlujYDvtjGv7zLAURqjgglFcjXJzG+Z4geaTahkdM43WMRoZrPOzGDas84tsDxQhjGrg9FxW+k8B8wxlx0z3iJIURZ6z5vJdgXiPj3Xv8bMYHTPb/lbBPNLri2lj2emu+y3jInFn+jSV7ZOuVif9qwIBrNgv4zYbAKuaNrMhEMkjZHX/I3GMDAjRbsGMkMJZR5LP35rX2nZYTi6NHk1XFiOUVABYwgFM+WEMS/3UGyjuiFk/G90Q8Jlpfkyu8RwypzaHBguLPOrZ8HsZLKK8eq4iG8QO5p0kKVkyvt5Z3MH050p2lbiVVTVuGtK3ROeoWQqi/WZ0qWQ+MePV8SNK6iQsq+1TqmhMK9A6X/vrKkU98HOO3Ta4SuHynt8+Kab8IGPfAyfc8+747KjR3HJFZfg5M0nJTuFtjcCQOwJOEJEVY06FoDONcjZHwQXMDv428pns795TuW9LIE9t5B17qe1u/vbe4/RaILJZK2DsM2nri/1WrToiso69cYYEUKjyF19tFgjB6pvVNvqYU7QHHAAcYCDTzl58qFh/xVAhVnFAlt79F5JxECLlCi4bdq04Z3LzvYOHlWdpW1lYBSTqAmhq1Kz0CRptgT0yZHhsuSSwVyplrcGNHdp2zbgKi/t5MhuBwVz5+DrEGf6TI7w6oq+hsRkJuKeY14OTnwuS1ObiDgXnCA5rGs/xuNVrK8dxmi80iEYvfPJYd0OttlsB6Ft0LQzPbQC2tBid7qlPjFeTULqzGRHgveMEyduwptf/WYcveQILr7rxbjzp98Fl158AUZVJbm/epJ/I/jHK2PQRdIHIyL70VVL0+3zDdKaVzNRW68xRrgoSNx5B089B3xlIpLZTCGU8ACi96hHSGlVOoxJCrAla8nXHlXlMVP/EiDPk4WUL9GIc4Sg2jzzg7PviyTORoA00yZp1vr5KTPO1+cBMfWxNRsjGk2bA+QgPaWAxyTQSRuubbSIgaWU3+uY9wN8lRCDaBPJd4n/GGXnJoJPiaVFDEJ5zXyW0m8VkPWft2iMpbmm4c22adG2mXGFEnJWTWKWlCAzxlTabX5GvkP8Wp2GB5nFJ9WCgJXDIumzugGAWIlXQBjh3S1hBF3lC8K1a2YtBFdVaFit/YUmnMx/WPK8ZsI1JtNbI7RiG0B6TphGV0L2e0RAzGfJggK5zFAWDKcxk1kThbSuuiZ7LuUXTc9o/IG+BmFOOGTCCxZfuJI4tzEq8+idb0DI5433fi7OQEnHJO3fAuZbfi82Ne7jsDntaY/B7DOhmdFzia4p05eUEWnlwb7FmAmjHQiZeSzrp0RnZLNdJtH8lOWYgLf8vQgslVgW2jHqqkom9QaJEXRFKqA0XrJ/Y8jMjzHVsdG4AqqFMkYz0TzqbsCUrUlSZNzC1LYUeqWAYUXkdGlbZuCMKZIAZjEJo21+TQgrc52Z9CTYJwKZ0MgYP2N0Uho4EZzJ3NZYWVvFaGXUOV84cBoTQBg8rzgptBG7W7vY3ZY4FQQHX9VZk4wuLqhHleAiC2pWZVeQ/rPlX1Kh62hcZ8uVGHNQoCUBFEkDDEpRy3kqE+j6yun6kPZsz2bY3drF8e1tXHHRRTi6viZ+qZMRnKMcY8UR0CpN4gjRxSTkjVGUWRzHmDUAIRTRat1crs5ThdtIs0nAAinXuQMmLc+b3RCSmMeuZCQAgq/q5G9SRkoDlmvaFknpxbxrhno0TkyLMZzei59RcKGT3F0QTkDlayViCJVGkrWNIPUV1ZnGw0mZ1jbnXNoUwogJ8olq6plSLqjExcLvA17+Ff405sDdto2YY8Scj6lDnDoHohq1G6drJoUxTWcMrUYva4FgzGBGQl7sSRFdyTiWvmiZoCFPapbWjfzGMaSDoiQGjfn0vkrRgjvzyKbt9PCuEoZQTRec89jYOIrJeA1tkCBGZcjtWTMFz3aLdoZOu4lEqhhaCYJkfqHMMREBUc0gwIzrr78Gf/R/fg3MjPF4BZ95r4fgi776cbj8My5XYYaZ/GkFBXM1Gtc4dOEhnLz5JJppA+fqFFXSiFGvhOv5BinyHBHgCaTEhvmveifry9cVyA7sGDXfYBloSvNuRUbUdEEWWRkoJexy8I/GdUfSGmNhrqmw1FwJWTNVmo8ukqbaWp/tztDOmiSFtnpNgmq/7RCOak5lPjsWYj31ITI49VNwD0cGPDp72SHjMiO6fOWBGh0i3yCEAIo5h5kRU6XPFSDvCrNUmGqqtUfpq9jZrxoEBjFH1U1lKmEkgY16Fg86F83uTDSasdA8Az1CyhhNVkuN2BkPsIT9McGsBf2xvlsu5hiD4DwARCaIk5D1xoAmxtiJVkDmWzSJzbSBU+sFV7k0nt38l9Cw+dzRsFq/q1ElqZNUK2Pjbji2mc5QT3JqpWpUJ2l727RoIUQIqQl5GZApzQt15yqW46Vt9VU2o2MlLqta6rSgJpZDkzn3zfaJaFgI1BNskKVdsLWr53rU4HrnI4jZqYdzOYBVyUQZXVNq/QAkRlC+Z6atFOzSXgoGyqa4SYNUaA8zA9oPGEQdRrOq6o7ANxffFfRnXOEBhE6bc8qUbFIMAG5BUMFkPqu+oUCmMeSZrFlPwgrdbyYUs/sGliMYRdDF5MYRGQhIuL0TsE4tQBJ9GKPGbJByJUAYg0l88by3PR8kv3boCnf6PA85QuVU06iRoGMUM9JY4EQtIL0fY0wm6t67JFzrCFmVjmaOKYgHF894J65mk9UJ6kndNR2OXSGZ99l1q5m1KeJsVPxf113GyRhBO6PtjDCro0Tvcra0kYmhhBtCCCKMjzIvXpnCGBjVqE4C0aWMZFqTSDjK+tYfKyvCVx7eEe55ySW4cH0dd7vwQjAztmfipyk+9IKbHcuacGqx6BzAUd0iYkFfVxEVR4RQBswCnD9vUp/cvqEr/czSMy9RcDoMZIwBk8kaKnWoda6Cd5V+7/llMsMi1JpfQVknq2+BERiMiGY2RT0aJ4IDGpGPmdHO2iIqXzaVsAAK5E3iq+VbXQUiLG3RASHQmKgjpOyad1BKZF5GYcx9YLTTBs20ES2MMXsx5xqUsSmRpoxdVdUdFT9Hc1qWnJZVxWjbKdo2b4RS8pjnDHCciVPvOJlpxEiAyyZpZn4aC7Nak4gzG6PNMN+CqholRjPGeWdvM5ntB/1ZXz+KlZX1jmmOOayHYP6ROTiU1Z81uxVibNEGCzDiVMrKyUSXmOFII5AFkXg27QwhtNjaPoGTN5/EzuZOiqqW82fNH6rjyQh04SFsHd9CO2vgq6rD0LieFup8gnS4KtHMzMm/jwIlAYIQEDGtF5+CTuUDVWQvHkG1/km4Q2amK8x9PRmhbdqkoSmZEgsi04dSAg5kzWgZAr48tIwoaWdtCkiTiEszFdKDt2TYohH9agraTCWgRT2ukz8fIOaipRRYtMFd5sGi7/Wl+x0/16JdWQDUY56tfdD9GrvaUhSMqWlkjcGSfnXLc25BMDPOJmHpPWVm2lnT8dFkzlpRY/q0YADoBgYqiF8u67O/VOJJjxAazGa7HeI8+TcqA8qkgi1ElD6fxgNH9b8y870yamOaq4KwsjE3zZ9zkts53TPrBhI8EEiCk4SmxWgyFqa08MGc7qgpm/r916NcVjAXkISP1O3DdZmIJPwrIpfmqOQRlRGdFjDEyfeSmOsTdwmnEQEaYZr0/CvXYD9I1/kCFhvAIDN1hS8kuc5+NUawT8NkPOPVN84rLmvTmgyhG0G7NJHVCx3m0tqUff4yA5qCzqQAffPuQ11aDtq+qkPPZMWAuqIkmkgSHqd9Cw0g43yi92RNLmarjVmp1X+PCibScFInj2zaB9yJrm1gEa5TtHTn4NSCw/wXY/K97pqPO+/QkvSlDGCmQ5res3dJLVpS7mEV5AAqHGRG25RC/Iyjmblj4eMYHdovv2NaXbPsyAKIalRhrGlN+rRU6ePtHCWz/8xoTtNZUNcqxC2DhRWMfqm97PtY9sc/aXgBcQlLJvcqpHEOlSdUo5yCrzzPjI6w+hcxo+nMoqxZzW2VKNFH19Zw5yNHAACfPHEC1193g66lLk2WBCQpmi7+f/L+LdayLT0Pw75xmXOtvatO9elmN0lRJE2KtmyJVGQkghEFFmQ5QS5IbMQPURAkSIIoLwEMBbkiNvxiwEIMOA96CBw7cOLoIbGc2BIMS479kkBypOTFhmVbCSyJEkVSJtmkuvv0qdp7rTnHJQ//dYw5d3XzVCdkF8dBnb33usw55rj84798//cjaOmZ1RmXAWXfVLek735YIOH/78amDeT3j1dwEHAxMkQja0TTe9181CppNNEzp70ffuM9gd6rIIqSeFv37Y7IQs4La++ZlnsLHCM5b5rAXfniyioqWqoajuzFba0hIREDYTDFxWPX82LLqexloMmuO7FzNQ7hxxjR0JA0GTw7pQYq2KhF9M6GdYzENumUeGLx7WiNlKwYxwPBxtIZjCBogESgTLET77okosch79Mz1QIUsXx4eK05DhbxlPxdFlzwQj7h8fENJAeESI1kfgvlQDTxApoCluV3dD34K5MjeS9rCBFL3o34IEYskcio7vcn4PktYkrKeit5DdUxVIoXrMdx/V8YBvn07Sc94PJiRvyc6/GxNBkDyWMWeCxgUTz4KJywycn36Q3dM/xFAFyIwueNAQR3YiW3x4C6VftbDB428kVRmOWK7CFv0Mk9RJaJoiEHI3pHXiyC4KNVqthUy6cMiSFDjkG2bDsdspzf56OzfjwVDukitt7oGmFdBkf2xhn9A7EEuwObvk857P6AFmVHntcrmBLhAqCQU+0zf686eJm03pk4gyMD8r3WXWSWYWYxRoTObImcL6V15FoHkLXEiTecvPyodVenlDgcKaJJzklVc52xSmkJEgW10hGRa5q21rR2snynt0b1+JLlwwmKBSCW5VIKO1tMLkqZlZQitvuO7b5jvV6oJEFrCGUkfyLltaIlqx3t4bPStID9bDQ0InRaLwsp+d2YgFuplGe6OGMixoHxVgm4eM/qWhDnQ+6D4v2xt2Whs8LOlBGNJXwAo16UlEEfMKMBANblOhDfCULHn8X0HTsDZ7SG3/c+iumNQu3PlAcqxrFvWk8b0Pd9XwbGW9donTP0NgTVBVPKyngrz4JG9Qpjp/UmMFqK9I/OEak93LuDbE86sjcEJN+b+hTUOJT90dGHfPAQAiFIQNFIBDpfRLfxaRNC/Ce/z30IMSAhqXNN9hpFJruSq/U+RnhH+Q8ec0PDjU6ABg+hHks4mTPVO+tCCDquvXdstx335zu2292M/GVRQh7ti0vBkFJuwzN7cjlnv4RghqnXCYNbi0P/NP/Srk3nO8zgdBwmcjZ2Voj1GcXwl/xeEIEQQLW2/9LP/zzeffZO5ZqVkLJAmfCdyFzknJWkaDB2+UwhffbDnGu/IZHNM+v9N1ejSQEsJ03qX8aY1LAERAhG/WxiI3TbnpU1lD84KEjyeQSCfQgjLd3+O+e/tV45F88KDXtvj1w/OugnWAEQDxZtounCk0CQXxTeNhEv0MIlgbI9b9a/1oZIiAovn4DtvOI+UhD9WDkc+yCcYJE+6hcdjvt2Rw1jUWEz2KWmZUbjaDJFoFjJ7AQvCfyaeaDkYPTXbEgx4+HxE3oePgDNgAfXvCShKV7cy+URl8sjOueENi7dIocwzS0bu9G8xLI2eqdoSYwRpRBpUkdXo1SN08sDe4+pFMpP//QfwH/6v/L78fTtJ/y5f+3fQu8N/6X/1j+Cr/3o17BcV1X+pMyHN0ZkvuTnel3RW8fTt9+h7HUg5PgYC50r7JKjt72N67NIfceAAwIAgJ2MOB7eatgDCksCzNttuTXOwOkGyVXoOrc4XX+4l5tDgdqXvejhJuRQuhcA9AJHxtJhezLo4RhSxOXR1bndmamwVCzXVWuPiuFJ94pAqxoFLbvV/1KDrzVHFERReoFVSXRZEBXC29d7VwYfNZjqMUJphko/zInMeXOOE+qX/S4RYUByzc1R4/eAOGBkzOLKZEdTFNHPr9Q3U0h9T+YpD0HzNIMiXnwEuKncoc4ZW63KcH623jtSsd9DIA885dQGrxPp+zFGze8WlExgCKuUIQlB8h4XbHdKkxAHxf3pjofXDxxd7ujRnDX35ztyzZovxYMNwKWaENBH50hqOsvaTElyyAVq3BFqw8LkRY0hbr3xotK1wIrYCTQ2xAgwbHYof/Kevfb93HLKWNfLcP543cKijFFrgocQBudA47NsXR/w+PiGHDWK+ln0TPVtrpspZc1M9tRRT4gWAdVIJqALRNar/O5li6/TKO97wS1Q2jlvGpBzvfNYLZofOhtMvjSdXpd1MLChB7de5ZnE0SGfp1rcQGiMMknmGPMkb2mJQ1Susz4DJI1qeqcpAGUbp8dnA1T5Amx9azST5RvB+SeEidO3/OsabfYGmZsbQ10Yn4ivyb5cFlweLxZF7F7Vcg4PZ2ju9x23pxv2u5U2EUdWr20wOL0hLGgFgS1Ls5Qwd34IP0q3+dZ5jgG9upI5DiFysH/ke5qmMBrT8sByPvhUq947Smv4m7/2a/jSwwO+9uYT3Padx58CE8oJMa1DciqwMR86WkvIbWFEUCU0ZgaXKqscxPni7TfE2PzNZ2iacQmI545hslyaZFkumnPnBaUI3cCsaAKtbb1h225Y16sZnLCFHQIRw5ARu+pGE+HmheT7WmAPkWxYUfqV4TIaMQjVe2u6KZEMIjJec/xbIl9SRL7eSZHU/E2QEem9kWdKcNecg2PdyyHUH6WkwfsNFzP0acyWZcXl8kh5oHVHKQWtMUykVVDtID4wAcj/5H3a2Hx0BYuyaFSVyQQaG5qvP/myU/JMWMZI0IaUFzYIK3JecL2+QkrLALW16IwpfBR5yADXm/LCKboxtLE1sgQS4qQk7PvGB3bEm698CT////55fP3nv47f/5//Q/jaj30ND5884JMfeINXlwu+9bmrpdm5FIRTrGajc31Y0WrF22+9U8WOyg58fMj8g1c2BrT7CDui1+NgPJw19SYzxGeAeUqOiDiPmESrVmOT9bAogCOtLVBkrxub3tBqQ0rmaJLbSd70ft9YcTFCIR9l9PUehfQgpqjliRpDp8p9R2GSr1oa1ocV/XlDWhJHMTtCr9iDMV37aOI83mP00PJ/QmDDcyJF0s9WqiJJqAwi4kA3kh5RDiKFsdCrNz4NCkr35Yu+IItaEYKfeoAB77eNauux7PSKkSsTOCgWIUXEmtx+iwCqRnsqyzZPvhRDRwVAJZRM4YqRma+94gKgy8ZuQgxC+72g2PkULbrnyUHUEdFpXUmxegAIi5DXmbIqMGUqixVQtoL7050LnlOJqx4COz26Rs9FjoQw54qC5wvo0T4fIinERFQHdKewt9qwbzvVuXPTOK8pMZZljszzHw75mSknLJcPI8z4zdoy1/8WlMzgqEgLLusVic+z6/XVwBAfQsC23fDu3WcAgAcu99Z7R2CllZonHYrEicBEO5IDuS5Xc9I3IscSjoZSiaWeHC+GDjD9aoy8miFqzylGrfTBN/vuSAgjnxNlXElmMLL3+vOCINlxcDpKvUn51HD2tqCRTu2LGkPmiNSoWrN0qZQk5YHHIiWE0NQxQ05KId/qBi3nfsIFryTf04+HINb8OHWMQjimiFLHHPxDi8HQBcFyc80BENXQFCIgcvaMxpgwxKshyOfq9ryRrisODGeI0sPyvcVJLikDons6hIrAnf0zhyClA4PqY7OjXddQND0yBEtrU+PbQ3UR1Ogc2mTI8w1oTmrFt969w2dPT/j01St85fUr/CzI59IbhlSRuX/q2AieA2FFR9PUtBACag2IdT+fy++yfXya4XfVRuMS8JTZwmwWkJcVy3LFslywLKsqQD7HDnAeuRgVUiGEN/t+13w+YS0TmIrkL5SyqYD1OQ/k5WNhF49CTBQo36QfEmIXASRKYi0Va1gQcrJi9I1ouE1JEAauhNSFmKhoWF+L0LrDOoYRSiWbUDc4H9i1mADyG9U8S1E3JABUVCWpEaHUAMRG7GQEa74Y+1ygXACKFlI/Syko5Y59u3NEk1llW6NoZ7B+1lpIdPYTD5Sb79evP8Xl8sgQZiKJ6SBIr8COSiGl8HJ5wPX6Sp9VoNatFSb2YYHJBir1eUMIxG5ca1GotDhAUkoo+4acqSovOS4WXs0B9+0Z23bDtj2jlA3XV1e8++wd3r79Jh6/9Igv//CX8Rf/9F/A3/X7fid+13/ydyIlWg+dBW1gTyfc2CvTMXvDHj55BAB8+xufo+wFS8in4/X93ua1LPlcMY6Ggm/d3hgsCvm+HNpVo5l8iKWgkTAyFoC610MU0ysnEp3zis6wr9xBmRLn6nE9x+12H3M/m2N8bQax8p5pUYQqM6kK26DA5UXR6a2jNDLE1uuqUSfAckjrXiwHFgZT9hFUIfgZCDSUCIYjnw4i1DtHzczK0nHqsGgiRR7G+bIImhkqQyTUH/oMZfNrQEvHuHxM//nGRbJHw5NhTRMZUmuMMogRZSdlXlio6X0en964fBWVE6F+7OgpI+cxjxOBHGd0zgjLedVazDv3mwh3TAHUn7yeJY2h1YpSAlK3KIYww4bAKAg+J/ZtR9nL5Ih0EWn+WbaiOaS9G0rGQ9YG1AU7TWutiNWirLV1de4AQNmJPA8FqK0qnNbf2yuyUhS+M7mQEH8gBISTyNzH0tb1quz5OS1YL1e8efNVxJjw8PAJ1e5zEHwAqofETLrDN37tl3G/P+N6eaXQ2hSLEuHNpUp6T8ZrMelAkmPndR9ClFTs+w33+5M6ln0zA1Ois0el28t2+Xt+f3S2GsJL0mQ8rNc3QX55R62UuBJHmZSuG+RK72hbozJ3yfqgtR4BIEQ7I9TIHveCRkvZAJVrxxYGgp6DPuZIgjxSwztFuzOW1AHljCTPG3I25jIv1H/LjfQkZstlxfpgNTA90ZEfai3h1zt2dmaRc4vIkohpVXJB41A71xufogfOc6YEgcM5HdWBWktV/gYZ7xgjy5hxXfQ+OaL97/586334nBj93pfcK3EtlFpRe8M33z6h1IqvvHqNlCJ2Pst1zUzPbPMpkduIDEEbXjgoZE7ll1iWv9v2wcbmFxW4Lyny35s2G5PzvX3SuBmXcJ6pGKPWP1yXC7IyjRp8yQ5wyxkQY4CMTWJbLWXDw8MnWNerw/iT0ZkzKehl31QpIkXAjF8Zr7MIkxeUAA4LVpQ1URJFeYyYIlYxDDkKko/nF70qtRL9qN3hwcf++Bwxf4J7whL5vGe+lM+I4DrznIVA3vAAu29iKB9A7GOXeEHZdmzbhmVJWJYLLpeinlExxjoi4MoJnK4m93qIEa9ff4qHhzforaIrRfzK64ZIe7aNyC8eHz5BXtZhDmUd1VqGwzbnBTmv2LZnAODyJcz0mq4EWeLoeq2FIqwpY12vWNcHHS+q2fllAMD9/oz7/RmffOUT3N4+q3EKkCC+vrri3fPN+sfzG9qZwOXvxUC1w2IigzMEfPvXPqNI3UcIo5UDmH7nF2NgzpZx/82QovFLYCbTqvnM0uQaUsMsxqjRH4U47yOMDGBlJYx7Xn5SX9pBZkjeYa3GzCn39gaPkN0I+ZMgGSg3sSq0SmpyClwnRFa0RFFp7oDjg1iew0p+kCKxi6HI73m46kzgA5Cxg2CwMnvb5kDykUyxgMkwHX9/zaMX+SBnwbUyXcSzbLuWBpKWnCIJNXJHoqbQTREUT3rOCynlbOSQ86wpcdisHJOhmZj5nGurccpHR1c0BSncdga2VtFrQnUGOY3bMsr1Yf3TXLVGc1X2u0ZvRXbXvRC8+roCMaA+F5IPxeDGMuitWNqDjGbZihqq8pyzbIlw8DyNbjJRilsTcNfUc18ggzq/tgZsmkcZKLmimNbgx9ZyXpVRP+cFX/nKj+ArP/g1ACK/bB7SkhVBJQio66sLXr15xO3pDssPpDSbfd9xu71DYaeJP/s9FDbQJJqC2zqQSC/Li8uNbI+o5VMql7ZXbHyuk6PX1vysP+k9YLJpQCac5owKcomul9Oi/ZgJjISkRvqqOk2zAAHJwKBpBhpB4/ep9i47TwIboVWMetGxTBZI/c1WG3FYJJLfUhNTyk61GA/OOz8OZEwlgqcPqAIzzESn1D0ZTIYBtL/zmpWpfB7TWd8yox8qN/JqecP2Pdqf2nce81YqSiE2WEFRxJwOhDoHp7CXKd2cmqJbqs4jARieo5TGGvSVyfL8mB6JNr8LudHGANJ8/oj+7t8vraG2js+//Q5bKXh1uWC5rHh+e+O+i5NuHGv5HYDq2FKuMK8ZvQvppZE2fUj7DYtsHhV7//fLhuJ312ySD0YllycJ8+bgz8kBTfTIFNG0A9wMUVH6931Tj1rQMicZUv8xhojCEJMlE8zT6vtEzad5eHwz9HkuPTA83aBcUj0ied0zmyHZwhrw5+yR3FkpDix8hPnMH9LqZWfYbIrJBF4KKmw9W5n2Mx4VhPkZvGdN+iZEGvI3fY69QqI8O+VMBIuHfPTeGdprREFaMqV5WGBxG9rlxCEa3IxbjAmvXr3Bq1efkpLNEQJh2QPkgOhYlhXX6yt44gExLj3sNms90A3LcnH5VQbRuFwesCxXB/XlwylE5GVFipnqb9bKXryKWhcsyxUhEFHV5fGCy+MFX/ryV9A4+nJ9dcVP/T1/B2prePv0fNiTIWCIBPk3QghcKxF49YbIH771K99UVtKPqfUukFZTUIUsBQ7S2lsDDuvWRUVZURNCHmmiYBDM1B/sJqOEgGeWBZjggrLnKO/CGyXUp30rCo8SBac3R84D2WfmNJJcS43YNTMEAShiIoMOttDJABTiouiMVFnthiTxOZodddsGJXBgM3QWwVDSpTZgsX5H93qLjWNn45nTq7E+SsTTz/c8//PPVsxpIPJ0u+9q8M7KauJxjZz7OzMT5iWjyLNgMn57VSMzxoxlGSOO8rs4SEXGaFkD56AQB6lnuRaoL7K7JrNUCnwNgJKB2JkaNBeToJTGgil92p63IVdM+9ojgA6kjgKqa0frv6EHuo+USAEwGIdyD8q9Gr32BDUOSvShCmEkw79sO/K6aOThpSaKJqcDk9Eu8y///26Ux+/Dtq4XXC6PCCFgXa/42o/8MNbrSlEUVuR9Dl/vADg3GuBtmiLVcWXlvO4USc471Ujc7xuen9+h7Btar/AlRoSY0OQDABizcy2NWTQjl9IBLrjw3nuNshXstw232xO2+w21sfER0sFxLezuPjcTECeRh4taGRQ9sw86ZjD5EwOWlYipaLzYQVepFrnfExbpJ/Iw6F9GhkWRxqR7WZ090t8cp2tBibMkR5HIuYISx1D+c+SySCxr5xQnDhqow89HNM8cqxiNeG9wzsY9/e3OqET6UF6z1uadxD4CRyv9Wdhbe9HQFL1x0Etl3HdfwYCsjloIRSRERJ4gj+SI5cf7a+p55M7bw1mNF4JDEsxxcnOQ7XyO+5xR6XPdC/ZSUFvD0+dP+PbzM1KMWK6Wo666y6TT+981OBQCUubrcyCs1l1tow9pv8EwWh+BHAfgfQYW/R0P7w2DOEUqhdxHoBRqNArxSrMIgTDOPlxfkzLPSeAE19hwZ4VaKMKX5TUJyECe5ZwyqkY2N9zvRBa07Xfq257QWlHIrcBsKU+C8P/rStHRfb+fLloS9OMYHJSiZuVIVEDwe6VURD28XTF1KbHSXN1F/j0B6C5JW+4lJB81Bia0naM9TtBM0dG579IG77/LnSED3QsJVqKKGFqWK9Am5kiZj32/K8x5HpfTcQ6UR/n4+Ak++eQriDGjlA15IaiRXIv603C9vsLl8qCGZ62NKdKz5rX4PMveG3JasMv6CEHX5bpcsKwXfia6Fzopq/Rv0XnurWKrVHPz8fENSiEWtlLuQO/4yd/zOxAi8Lf+yt/Cj/ydvx15Sfj617+BV1965ZRMH301YWvCftybISWE2PHqS2RwPn3+t07H8fu5LSsdgFmVfFMu2jRecOsWAKS2nzQV+CmysT56K0MIyKvVBtR6jcDgqGi1kSdWcjA755vVI3SJEA1SC63qvgY4Z0/Wj/NAi8Mn5URw2fsO9D5ENap4vhuTQDhHlWdLlIOaIoEZK4CwWJRPmu+3yGOVy6zchGRKXa+i8Izz5Y3lGTUxz8MwJ94xcCIPvNEvxBresAykYVBUheGv6qxrbt+IwyJFjWoClAPUuM8p+nygYiQs4mxySrPm6zMMkeSOR44YQVDOV32dDNfFpR0kB2ej+9QQVL6rkQdzvshrWqsyBI2uyHXk36CcOYW3hTHKD5DiVfeCLMQ+vN5VmeP8yjgpu702HsOxZAsaWKnmKHBKRH6xy3e7Xn5WbkVZHdcTBhTRx9TW9QGXC5U++epXfwSvPn2F+xOdJUquxC0ERgLEoPBnGae6F2I9X7KDGJIBsVxWXB4vqKXh+d3TcPb5dCS5hzfoAIbAB4PRS1Q1JjLyHl5f8aq8xn7f8PT5M7btWZ3N3nEluZQhZh/6GYxP0yVtbwgvgpzl4pyIMbKhuahR5KH4ok8JkRwZtaYLSRODFYDuL8mVl+eXPSTkRGQA+rNGLhYGQiJCpLGekR37szuHTlM25EzqI8RTZHAI0JQtLz/zmrUagcwxAGK6b1DnW8pRHUG+/7OhKTJG+ln2iv1GNdcl6jhCRztXHKC5jJGdJSmie0h/69i3XZ99vS5KzCbzGEIAsjlLhzFqfWAZ9keOyPuZiZZ6d0yH0/GdjU49/8x5fC8Epd2eN3zz6QlvrtcDKiTlhLoLLwj0GtI3wBx6hFIAwNn4tG5HToIv0n6Djc1RgIgxIb8PPx3+foTB2t/0tkQf0/B+axVl37AxfGO07uOULM65ga0hp6zRSklGJ2HVsPc+0NRLLSmBQMm/bXt2bLYZ63LBerliWa4ExexN2WspSpYRtoiHh9ecs2fRIqHAtxzOo2dXx60AwE75mIrBN8Igwah7mJpvkndjJRdsYZIXm6jq0yIMXgkIjYXSyWyHAHGOqCHjcgKleeUkhIDuIItCPd4aGXCSF0vlAHbdGB0NASOjmBh6Nm4ziREZc91Z0yLML5dHfOnN15CXFa01IozSNUFRgHW94nJ5JAgkG7Ry3RAi9v2mxr83ToXdrqMrzFUcIZKHKX0JIdIhhWiRiVZ5XBKXa6GcrZwWhEBU9n/13/lr+OqPfhXLZcHP/uW/globfs8f+BmsDyvefustlnVRhU6U5hDG9SCv0zoa92dMEa8/fYVPf/DT48R/nzcpcn6WN937JK+ikQTJ6w2mvMvhbkpTcyy0ck1a/2Uv5BUWp4gzPP1BQXt4LHnkm+VH1uH6+h4boPKe7vvecXt3Q9l2wB3wWiplMsqqUyYUeq8HdR0NFH7uuhdV5NTJVShnOKQR6khG9ajIKAzXRzqn5x9kyfR9OXjncfHXIWPF+uAVLk8MkVJC6Z3OoGg55mOfSIlU5YSVSEAUcVG2I8ISULYdwkxLDNQMo53QPyllUzi7Odfkb4pKJvTOsjqabKSfZpy1UtET9TcvnCvslDxRngVJ4SMdDaPHH15Ji0ejQeeRIwq+EdN1OoX7BRf1RwhGuKQ5q5SfKbnOvpxD46g8KaRZoyFwUDKVcxCDsw/97jiPXHwMLSVyzK/rFW9+4A3qLpHvjhSoPnCI1RHTGPQcMGO+8bgPpS9iRJNa25XOjU8+/QS1vML9+U7pRLMBl30NcyO3AgSuH/VcrcXyFzM7CS8PF2z3V3j+/JkDBjuEaRaAzvU4p6NeZc7hUUekn+N6lrxldZBMTYy93joan7FD/UtJWXDyqLcORCezq+UHeuOZFysbvg454tAepVK96GXNw7r2XAJevsv5ovduk+MnWWkXcczIOtA1tWRIfWI/jkgWAfYGnFPBtKnO4YxwIrjbB8NbDE0NxvCFousXofI8msQHNOT6HcsSdWysdElX1uoQqaSMIFN884RjIh/nIMtLAQ8v26Bs3EFzzOXc+vwbn+Nv/MrXcX+64/ntM/7qL/wtfPnTT/D2m2+HvqQlAc+jzPLGqPwtLLrkOAaXjJLn+T6MbHqPkHiQ9BCaIpLzd8Qw9NBWAHSoSekIzQeiPJc2wWXODonWHdzKfzYeMd+kdKfTyfKLRoyXGKSMQSbjIQQ+qKtGsEIwltEYGxsndzw8vEJKGft2V1insN56ZUjHoXVltRQDcaDwd89BB7JBioWUISSKCra9qiFJfbQFaeNjm3NZM3nJQwV87T9vpKgUsYjES4e2FyA9dK5F2HXR0wFn0ctaLfeQvH0uKbxbeRBaHxvERXtwPEQxDqivy7ri009/iEh+eH4AKIRsWS7sDb6g1qZGpUCChFQqhIAlr24spFwJRbGv11d0YHJkgnI2RwFE8zoevsE5bYTSvfWK2gox5qWEp6fP8XP/n28ipoxtu+Hf+Qt/Dn/l3/8P8Xf/3t+Dn/p7fwqf/tCndA8HVRPlVdacjJWRd4wKWIwRj28eT+fy+7kJ1XvuCfOhAMiYRN0bcjipYu69zQIrbaSsaw6b7Dn+bC10iKoXWWXLqPz6SNTp4cFzaCVEuiornhHPe81jjLg/33F/uut3RIGSA5QOTJN3AnuS9ZFyRN8NhpmYXbTuFX3N6MUOU2HI1jHqBr2tA/wKGhWU55IIY1sSQrfcqIHMYTKK5fUZPuvv73+SwwuaH6VrPkWtjzqshWAlqawciFN0gl8rHJXhsddqJx1opWHbNlWkdU4nqDZgzliRM6PcEEeCKLAG47d+Q+Hc8/PTdRszhRoki4xPkjm1NmbctXGopTLZmimmJsOGAbc+BFO0/XjNefyHuTy5D8Eto5FOoR8M15TJSTc72nyjOQQQKU90XksfW8t5wZIpDQSwdSAkglKKQvafj3ipIb8k1Gq6w2B4ZD+/bJwuCa/WVyjbBdtNashCiYFEvvhryVz5KJeSuYQAcI3V5boiXxZcHlbcn654YqNTyGgGZxZG+SkwW7/v5fwdZIHkT6ZoCJiTvE/RVUS3Kdsub6qM7R1a3ky+N7Cc96nMhu9vNYbus73io/G1NIRIZ0DZipY0Mr0MVqrO3dOf/eP8EruuMuFOcmi5LihbUQ6CEAKjhhaFzNr1RoMzpNHRK05SSesAYBFNr89x/qX0W+rLh0jIoku+wBvrPjdTnBwpWWk3OAO+d8q3B4gYawl5cNr6RkRQaUwLGebPnArCBD5XdFCDU9cdPdMv/ewvKbz9V/7m1/HLP/crtr/4fpauZW2eHy/XZf5lLAgp8hsc2Tw7yF9qw+bR8h7+wLPiweNPWQDiJabNum03eFy9tKNicRwkHdCTmpmiLOS8Yl0uSHnh10z59zALgd1SZHNh44HIaLaNPxMi1vWKZVkdBMOSy2OI8GUuem8oZcft9kS1GR8fULaiwm8e/7N6UK01hWmRwBZGvaRkQX7zekHt35MDoTUgRX+g26YPKY5eHPZwxRQP9drkfQCDp+dUIRwUvgCoICNjUvq77zctdC5janNquUUm8CvBwUIEmCOa4AykVZCgo55/6UtfxevXnwIARRaaGQXX6ytcHq4IIeD+fOOIpsF11NHBzgYeTM35FWi30MPf70/Ythuul1eDF9DKHMzOj4qYMnrtSAlDCYZaydgMoFyInR0vEqm9PX+Oz371Mzy/fcarT18NMOSjMLT5tDHm9ZujMod+jKVPAL+nLIJoh21H5EhQ6x3/8c/+Ev5vf/pfx3/hv/6P4Gs/9jWCfPEhLzCyWqvCWnztWoCUpu22uetbH/ze8k1yL/28yVztz5LvZ6Q/jaOKM+QphID77Y7buxtHNIISTwQO88QUsDPTss174rzphq453VI6g8aHIECcc1Mbaj1qF70dFSRfhuWlupi1NMTYVRaFbnXlxMCh24wR13Ee7X42rpaj0zF+Z5SRzjhixSkEIRGyWphwik9MQmds+aNyZ2EapFxNQoqIo240OFm5kRInk8wEcMhVC3wWCdurQvYmY46em+CKvdK6l/2tiJHAZQW8xz4GJEeGdNwv1oL/XItIKVgdPHpAex5WHIc14gzMwSHGcxZcTVwpG5QWQvqs1wspiZdI0ZFZj9E1acgCjdKlD1O8fjO3yERThAgzqOp+33X/pZSQ14z1sihxWO/ilKCxKVtB2XaNWvUwGqQAFCYvZ8vD6yuur67Y75vW3hVuCF/2w5wWlsvWTmB+YthRqRoinbm+fsDz51c8v72h7NvA4SDN9MOohqDX9+hnsHXKhubCecbdnd04Wfd+3ZLTXFABvM45hSGlyHmfTKLWq+bbhxCIN0CcAc4INORU1/5JX/1ztlrRCwZujcGBWboafXRuVJ0L3wKCUqWGyFDh7u9Dzte8ZpUTlJqST0uaSBd9yaEhx74z/0Cn9ZhTUiIcg4OOjnDJKQcb76JX2ZyDDb3kUDgO1eCeubU25GzP54KUOfHvv+goY5DdgYhTzhhxZEjf+ef11RU/9ff+FN48PuBXvv4NrA+UV/3Zr36GH/2pH8Ff/Us/y+zwVBJKnzGJvibLcHK6eDht6BA4rUfZfZH2PdEM585SMyvcFyH1B5k3AiWnxNNTk4Cn0hSktO+DcRlgXovxMD051GbSIeclmWG5MdDCzXmhHMy8srFw9HgHBESmwE5pweXyiHW5oIMgtmI8AMLydoH3jPlSJ1Jjyhu8AHC/PyGVBcuyoPeIWov22x7Heb4xwmkHI4H/zisZPnJwh4UipaQMu4hFIG+1znHrWjOOEs6BmiITYAjE2Argal0ql48lm1iN1nCs5zQYwnLYuwONchclKrMPsFQAg4fJG5jSRmY0ggTHEBAYWts6GZ2vXn2KTz/9GmJO2G6bGpopZlyuV6wPK/at4Nvf+iZut3dq9Mtc0rwuGnFoPpIP28Dbdsft9hb7vuFyecSyXobxCLB8OG+Ei7BstSCmRRVLgZlt+w2ZnSU5LyhlR84rrldaV/t9w/3pTo6M/J2dRv6QB+wwEM9jPDEEvt+bX//2mhkb/mD47Nc+w7/8v/1n8cu//DfwrW99Hf/d/+n/CK++9EiKMCta4kHW6zpFn5g8Hdy12elLuc8uGpANHu/75Y0xURRDCCilKlkDEbqYIbCsWWnjBQkhylQIwdVSdfcJAU0cUWxQoneGP0aFXA01dCd42KHvDMmi5z9xOGGSE81kQmfHWurkAPG1el886Kd+DPeqTWnyxdklEVmRR+TES6iFCT3ujfOp6nC93is7JB2jpru/KntdFKld5Ty9TPJInj+GyAookFg59aRioki11tDCuEYWLmvRe2fWwW7rT3Tg1vV7sk4lkuVrAKJ3JhGLnBJC3xUG497DQTH1+4bmsEOYZNXxwmketZgxMsPo/Hf9nA7z2zpilrquTGa0GwT08nhByhnLmrH5/cZNo//NiJZ6awO8+2Nr5DBPqGXHft8ArJqDSfOQSH48V9yfodDFvC6as/f89hl1L7QeSsWyLsPaNN1rLFAvsvRhfYRE3OzMMUitzANgToacziM1ABTinVJEuizIyxtcXz/g/nTH7e0ztm1TPcB0QV/vHMN1ASiCrPeOHonkSx0e9uFh/Xt57v/2hhalSxDqpS0ULaP6scc8QTRoTUuCqpoc8ezPAKBiIFmEtTrmbTGYLXdfxtIMJzHEALc3ukUGRdcMOSHEOpLE8dxfX11NRjk4qhicQ5v0V3JeVs3/FJj9TDIpkH1ZN+RUiw7KD73vjNqan03mWHLX51ztmR1WUtRkFci9ZoTKS2cPfXgcA438OqP18UtU4/bn/+Yv4bf96A/i7dMzPnnzCtvzhhQjORJEj88JMVH9VahufJSXqtc7x15a+FyNH2Yu/v+w9ImvXSlRQYdhDxa9BICcFsSUNT9xUAycF+hgNMrdpGjumaF5+toYlhfhEpiJNqVMVPIcsWy1KI28fpYNwhQzYkpY8qrstQA0gulJiTQnUxaig2j4Wpv0/REyue8j7T0wMtHKv+6Ej2ygmKJCZmNyrLWhj4ovj/cwLimSItWh9YXUiybRUP5MreZ1p+ejDd3iCD/yz0GwijpsMO/BpEftqlRKDU353c+fd0ZIhNGXkendG+EJmNh8wXMVAVyur/DVH/wR5CVje76jcn7uslxwebhiuSy4vX3GN7/5daqLCTqIDWrWEGOGh63FCEd8QJt43+94fn6L3hvW5YLHx08oCurGwq9lioYx23HM6L1iWbkuEj+jjJsU25ZcUDL+iZAoPb5hz3VRJVLH2yndNpd+v0DZ14Z99BF6/EO0CBktEVGIzdhurePp20/4l/7X/zx+5+/8+/A//mf+GP6JP/JH8Gf+D/8X/OE/+t8BAGUHlEOdvijzxNHGUviapNBRDsXoqJHomW8zwQDdjwxXOWTEy1n3QnB3V4et7JXzM4sZKuAIWykD1FUOfxkPM/aOh+fiGEWlViIZjfohPqCZKKY0fT6vmPo1Jtcm2UYETN4zH0JAqCBPu3iLQz9cx19/jgS8dK6JMnFquELGYmIbDuJdN2gWlQ3hMh1O2akub0rH2iFZhCgoc/pF47JNQiynqRYs01KkaKGMNQA9n7yM75Gdt+1cRgvsTD8vYqJ2hNARF0tR0HM/ArGLUXz07Os5QaxyRkTHBktEQ4+MxmEI2pwr7h091jeJBvj5AcuqzjKvK3rg8hjYuczQdqdsqwOoMlyblfM5svExNdJRCMV1e3fXiJE0ny8oDo16q9huuzmZOIoMUE1T0c08HNpfA7CImsiElC3ntjmIrEBqdX78Xpt4QGZWaM+ivawL8pJxfXXFdtuwPW8Ga4U5Ag+GjHtf1lvOecg5pjU4Rf8C6Y+SwxyCpRfMTcqOtGpEhnnNyDlrXp08X+9Ul5OHDiEQ0mO/7wOqQM6twEadh6ZqCZA2P5+d6Qs/a63t4JQB6KzogKFLAsm7KOPGYzI7C87arFvImpESJyEEjYqmJRs8tc2bHoM+q4PE748OicYEeyarQoAiHspeaE3iuB7Ozj75vqqwpSKuTg+WaPO0jg9OUHYCyjkp108pYnve8Pabb/ELW8H18YKvffolPL2+4u3TsxrktJeIwA+C8OP7ynD4M9H3QeSoLzf0RdsXNjbf59Uzj4Knr27KuipeXzlIqYBwxL5RjpDUe+z8H0DnkbvB4X6AGW4vec0Pnw8WXRU4rURXU7KopnkjGuWPxKiGIDH8EfFPZuiJMNO2WNFaVgUBgF577IMYr+adFmPIj6OMnS2IowEne40WOQvtKfEastlZAAzDdSJEROgGN3akwI7fs1yuYxNjVjaN9BeAeZ2dp1sPI4Y/vNRCiJMiGdnb7seFE24AWDSY80HTclA0QwhY1gd8+cs/TB7v+477nWpfXi4PuDxeEGLE07ef8M1v/gpq3TmvyBjqSAE0chAyAB08PCS0TnXB7vdnOnjigmW9kPPCGeczPFquZwaQ5LPQQUnDJaQlC2qlWq8+P7iBGCpbq7g/b0QK0oz5c95jNt6j0u9/94rDx9TEWRMCH4CyYZxXdLtt+Nf/xf8zlmXFH//f/5P4O3/oh/CNX/pn8E//z/9RfO1f+nH8wT/8B/WwBIAkCI5kxmQtZThMdH45N1D27Ky0z+LOR2EEolT2MtTXFIMm5oRy3/Hu20907dqGAuq9d8uv5GgXGTskmyo4ilgqE4eYnEk5KRxMIqO2ZgMAkwO9h+EZBTYagk+/GNkO53XYalUHW+8AXM5nRANeUBrPxtQOYvNuo1kdtlZ9RFXggaNn3jtTG0f9lHynGpRW5KqvwVqKQGhNJvkzAwA6mtYNFnlXqzgLjADFWNKFXZEcbCFghKy66CYAhN5RQ0VrAakDy2UZFCivIPVe9MxprZGx79bneN7ZngJG1AuxIIsnnzkMulfQZHBHeXg2PhoN6aKcUT3RIE7L0nC/bVymg5ywtUKNnTly02pXBuZ5DX1MbVlWLMsCI4UxZuWx1JlD2LCRKTnU8hnAnee9aykPX3dSStDQ0FuUzBOKlb0Qsqg2LNcVl4cL1oeVIuEu/efoBBj3/KzUi9EiRme579huVt9YPud/Wt1BzrNmSLGHksc8pjp55V0Mv8TPJ/IY7Nh4n8OWZPS4/uRnq91KoExpQ7O8k7CNyjZADR/tc5oN96qGphrxaqiNemRn52R0Z4KPMtL+CiOfiMihYJ8fnrs1NTRpDPlsu++DPFK0l9OVhxJ8XQhwRt4Jf+b6uZM5kfc0LUbTuo5nsPTZnym1NoBh5Wfjrd8TPYybGL/0TBYMaI0cyD/44z+IT968wn/8c7+EFCO+8ukb/MLP/zI5lQs5cAM7yRU1NTgVvP19dK4ERqh4hOoXad/zBCvp7JAzxz7RUnbamAzjkc/VWpgAhxeuGJg+ijkcJmOkxy+UQWEY+uW+MzDbjpAJyZ0UZtHL5VFz2WTxat/5syllzvFciJCFYYuSLzA/S0ppyL0LUep/0uve063GCQuR1Kx4uReawPHw07wgJyTVAJq8Svbd82vNTdnn9NpnAo1/F0N0Eo6+hWjwDQnhDwIiBq1BGGNUcqB5vkMg7354ofu2kSKCwsTGfuW8ECHQ4xW9czFwRKyXCx4+IXjP2299js8++zW0VnQd0DgwtE68wc5gJEdDomhka9j3Ddt20/VHuVQPuh4AU8KO0U16biGKqrWoASuOCl9Lz5fP6J1qd4pHtjmCh+DmdBzXUbGD+5yHCb20/76f23pdT2FM0lpr+At/6v+BX/zF/wj/wp/9l/F3/7bfBgD4n/z3/zB+7i//HP7kn/hf4Ss//GX89N//MwCgBhFgB6R6u5MRLOj1qzkB9FBgWO4g+wQeVUfvbu9dWW3rXrHfNvRODqP9vuP27saMfgT1RKtG4Z4iKQ6R0QvROz7IcAVHC6SGoSilaSJ1EaKWlKw8ipFJgCFcBSbnRw+sKHNC2CIGbd27RhVMnptHnvZHR0ht2Ece1nSYV2eAARQZlTqTVHLFsfcqvJBhwHUkwLH9DS2HoHPfLFer7FVrv/nP+HOt1mqQ/Fax3Z+J3I7TL9TAjMLSW+iMagUbntW5uywXhEBs1bNC6o3vxpFucZIslwWWjzTmrcqz+vWnc6/Kmq1L/Uzz65vOiuRK3PCF7HrR1RFtlrLhDR+3/FH2ahFX9u7LtctWcA93chqvWVlU/Rrx95b+Sj8/xhYC5V8L82UtDXlhR5uLLGsEmo0IVcYryQuNquWge1fqqQJAzGNu83lfOHLIMnO/7+w4q7g/37FcFs39k8gfYE6PlODqFwK9e11xCHLx9xPyZaHrP91VOQcMxRJTYnIduobkpHqCIum7J76RyK3IJY3iVys7JR31+XtAp3I+ZZRXsxEMUETTl7GadUT/WiuWyydyqaMf5LzIgzPym7PSU/pebWgA1sWCK1Kqi/4mQ1SJcGQxyPN5Z0WjOs3Eyksf37ei7w+pI7UahHvop+XGh25Qeh+xi+7MoP5yX3g9BSWVCpwPbs60Wa8VJ+r4GdMR5zbLOyEd9Ncj3ZccZdvzhlobfvUXfhXXv+eC27s7Pnt6wqvLBZ9/43OVe5JHndeM7ZnPfscrMIzTZHB7x93MLfHrbd9TY1OMR12oE7Ps6OV1RYB9vqUzBOmHGZjzBhuiku46dt/jAhgFAUcOhbSBIbMxRizLhVlGrwpZrGUHXD/MYOaczZg1fxOwxSFQSp9X6ZO1fTRT+h2G+xwXJnlW3j/5Ejr3EafeyWOth7vb/G6vm9LGhl/ljSkHsXr3ehjgcW0mbHKGsR3WfUjiNoPKzX3vGIrNzxJNjM42EibR5iKvPxlW0zoS1kZlaPQRQvLevHnzA3h8/QopR2x3KqdyeXzAw+sHtNrw9luf49vf/tsQmGyY1po6E2SjspFJc8nGYStUQ5WhtyFQTqXArGWubC4wPId/T9ZBC5XLaAj7cdJnCtntGxCbc4wRl8fLkNs2DvGoXAw/nTdZXica+o/P2PTSWA0geat1/Ad/7t/Hv/1v/6v4Y3/iX8B/9qd/Wt97vFzwv/yn/yh+4a/9dfypP/nP4ktf+8fx47/rx9WrD9B6FaIDutULDqTJsPQdIruTlF8tw8HRxN4oR7SUgrpXYq3jaNr93Q3bfWcimqL9ScIEy/nZEtHy9yZFfR/yoGPOzE5K0QIiJJPnImUtpkhEQq0hqqFgck/YaylXRBi3m0ZB5Fr+2uIpnmvC+jEjI5GimzP9/unhP0evfJQLUBp/gdSKEkX1G49zGWNSme+JuGqt6IU/PxlpFH0jtAKlb0QULt2VM+WBd1B+qK/1uywrExNZvU6JdIixSjWcxfBcybmgiphPRagcJRWCkNFp5furBghHuGa5bRGHjtDF+Aum8ch8VHNuAKwoBgxz5KGIYcoL9p+hnwzpTB0pZ/TclZwLIFSC5B3GRNA/MfrlTG4+ysWK/8ca2RTkln++5ox6r0t4ma+kUFHY3429O6Wo+XER7JRoDVGMyRgcb8PcI9pfJFMS9vtGKI3WsT1v2KXu+Uq5t0QE5PSwKKXSoLwP3si0h+x6nZQIkbHfdsqxF2KoyQiLXO+6tXYgJBNioxDCwYjx5zi9l83R1ExnUvmlZaUwIE/8z1KKMgNLpNQ/pL+3GcKS+8/GlCsz4z/fpv081Bv2a0fYXN2z0xvczy61oUWvpb7UUtUx6qOhADRHU0t7tRG5dhZB9/Wg/TObzgkAZtD5Zx6ce+xAqBXIOXGqhH3mQJQUgg+mu9cBCeRUqfIgMFoAqO48YvSMOc8CarEzRc6Nt5+9xdd+7Gv49Ic+1dIn3/j6N3H/9DXefeutrich5BJHzJmh+1Lzz/qhKVLfM2NTDE1vHNLrY30i3zoTmXhSoMGIdJMeYzrP1/TG5/Cy+95goHKkVetxeuiqRRjJ2LTamJJPKZtBntGTwQSeUDEoYiT2UPIyT1ER9lzMsFn/GW9kyBg3NIRzJ+DJd4/eL6+IIVA0RIRSkA/0jsTCXwVMCKi71N00D1erHSF2FTzvw+HPhYClqSdcOsf3k/IJ49qQcT9Gd2NISuhBzyMCz2DQOvY6HrL2yGh99epTPL7+hKI+7Dm7vqL8zFoqPv/mt/Hu3bcGY07mRphgxdCUNSXkUQSzBpdHufM6krzeaPm8wXLI5vWrFOtekWs+jzghoAMBmr8159PRFDfEnLFeLyqEfZvX0viezZWWyxl9RB9V03xHhZJZDsn9+Y4/86/8CfzQD/0Efvbf+1n8sZ/9JfwP/tv/VXz1k0/wJ/9f/0/8B3/+P8SP/dRP4s//+c/x7/65v4if+JmfQAiWB9LKyFrY60gsAwBaSL07mObklvTOB4EH9U5kPft9RysO4hYC7u9uuDMsbSTOqmo01EokNa/evKZrM9pA5EpaMq6ubuhyXSBU6Qoj45zwxDUPozO40Dow0d7nJQ/PTuMflKxGZS/PQWvGtCsy1pM+zG323I6GaFAoKcBKXRPokhn9Gj1gxSWmjFBdiZtoxojfywKdHhwLrSvU1xu9rRWqCch1BwV5U8qmzstSaH7EIA3O0UsKPpUGa7Woc03mqrXqInQFqZB8SksiFE2zSC6tiUyOvGolcrwh32pDiwE5J3VQAiDIX6f90/N4vmmkwM+3XK8Ru7bNlVOAORKqc1kb2qQgymeHeagdITaOXjqDujbcn+9Uk/HxQu/XhhA7IthQiVThWiId3tnxsTVioyVHdWYm1NnBBkikEBxxs32Xk9XRjTmZruGUc0I3pGH9xDCuA5VvgWHwEGPmgl1KaDgn1H4jx9l227E+rFgvC5XVSJHLrQAttvE8PEFkBXCuIbPBLtdFjU4jqUoaqfWyV54tXyyaJ7rR7KgVmCkhI5JG0ed15ct5tNaRQkd34k1yJWksbfyMHRqn8jAwjwdd9wwlZv0f9nmpCicXGVLdObZcF8S8WH5+B+DODQblqLNCUAxGQsfnFxvAO5PaHfov/XP5mr379Tk6G2cjltQ+kdmcftWPeo/IeYXPdjN1xTA8cIzI++K85eUsCLKyFWQ5I5twFASgub3mrpVy1DSY3mgOnj57ws/95Z+jkoOco/u3mIzr6fNnm7tG6RZpIKUbbQvbavaidzh9LxxrH2BsSoeP+ZlihM1Gnhqegyd79KQcDaaza4+fmb83e3Dod1/M2kU0g6+Jltg4yJTf4mppHq6HMfqof8MOYoHEEkmCx0E3tF6RQx7GyI/BbGD4v0XQyNgD58KCBOf7PRkhGFmHjGVkT50oWIENTR1nvm/ZC3rs7PXLchHK+1KF/HjPQbg7FlrxSslPgHNBOA/jbMEPRmOIrjzBy6yXCAGOLEwNx8fHN3h8/ISKs/Pz5iUzdKzj3WfvcHt+OzkcxnlblouWv6GIZsT6cFHynbIV9PuuUfNad4WQ52SKNwmoY003mf8QAgnwRPly8jlhnEXvbi1OArBXqkkY6SBNjvjlzFocvFvzGmv9lHzlY2pyiAf5vdrBllLC7/t9/0X8jb/xl/Bn/o//J/zyL/91/MP/0B/EVz/5BP/m/+7fwr/2r/xz+Imf+Gn8zM/8Afy+f/Dvhye2EKXHH4iA5UO/fvg6ct7VsOne2Bxca5arbX0GyrZhv+3YLrtGKtt9x3bfsK+UG1f3Sh5xR2YVAtfJ27ne6/oO65oB9lgvOQMhKJxNja4ckWMiIy0SsYtC48UoTREIV3zrsy/TsyrBWDglLKi1sbLIrNiO9EfmRggpIsZ8UynXIltoNv782eGVN5mfhOPhWyEIjDgy1TZhoW0UeeF8S5+fj50+20JlZatrjiWVmahM6NWwbc+43d6xskJkdbVbTV35rpRkUXSOnmFSi7gMUQAZB2KlXjTKWWtFKRtyIYdXWhJiD+jdUDqWl0tEFyQubDxlvrzi6A0NH5GQOqpwCBceTFVqRSGXNQGtzUznmsie1oDQKGqtBj+fQz53Tc4xLJRnLHsQnaL096ebRuS1Ru4UQYkAkBPKPkL3PqaWEiFe8mql3ny+nbRaDK5YK5WZidFgmFHYO2HrQpo4jgHKWRR4rebvilNE5i9Fc4onKjFCOWhlMLJCAHpryrCe1x3rZUHiqGheElqLWuuxOx1H7+NazCTPck5I9zRExKPAg+sYyZSzfsj5BUyvqUCXSHwWpxbpGq020ql6d2lFcSAfIvIsagJ77b0jNDFo2LgMNnd5STpGaWGklYsInjmXZV+LbllLoXI2e2EHJuVw1lpI/nUiLLyUK/bbThHinNTRmDOhO8hvOMqkGAOQHcdFM9ZZ37+zKKQ3NGcIvzyPzkObXtfFXBWVIwPV3VhIugMQIYwykHGf0HNnTaLIkgJC8puQJ4L0EfSM6N8ShQ/BHBSyN1rrKKXg8298Pjhgt9td+xI5Yi1GakzkSBQSQL32idE5j/X3on2Ascne7ZQPkT6f22RlHszADC6qKAywdMi08TvOGPV5cfMi0tadl0J66ZRg65szOIPkXvoan+RJqnVXA4IKV1eM7KbBIlmujQYqwWi9NFQSGyaNOTewWRifwBXlnxQPpjeyGmriMfLeLBN4JINoAU+bEwRJy0vCvrlcMteHyEWyvfALk+GFydCUjW701kHzdEIISrgxj538SlHDkW2SfiYHIbS1I7DnoU8AfBFnyevsoIPi4eETPD6+QV6zw7lT4n+rDU/ffiLlr1sdSz/HIUSFwS7Lwl5R8hBLlKdXgUAU3TvLsmBZrrjd3mmub2DSGDmMpc35XqIM9NSNCTgcSw0Re68Z8PJ9ETp+3Ie1GI/rTl73n9HvxUlyfSRN9qJAqXyuVkwRf+i/8Q/gD+EfwLvPnvDP/VP/1PDdn/yJ34P/3j/xP6Q/RLpLPVeXiyiHoO3ZjmUpuO9EE98FruTngBVqH2mQ1lrDfgO2e0AtEb127HvB7W1B2RMAWpNli6jVZDXJ4I60ZeT1gg6g7AEd7OlvEQ0UrdhuAa061sEW0daEJWXUvVm+WwjAZs6xx9dcD1cUDxdR1CGaooNi2OiYsVG59I4SuJ5vtJxvr6CMZ0BQeJ8YSi9FOfatMJuu7ItuzIeuODm6QZh7tcgJwQQbIht1+04lsAKiQszkfq3u2IsYqY3q/wmENkZ0xEMeuhrVjrlajFuJZtYhB1acV8SsjryQU8pFQ4VMLGzEIL+u61FpY/loLKKMuHHjLdeD+11kva3RzmVbzIE5RFFaQ8TsXPZBL5OFcwkU2Q8a3VHW6AbsBJVEZhZPvuj96Y71uiLlK5EJBYPSCrFNYB2eovQfHxkaQOVg1us6lMHwBCnSYiZnpeSBl1JR9qZrimpbLsgLnaMz6ZacGcLumZLlOCqyByPDq7YUkTmPrBSGWLr1BpAx3GpjozOr0ZkXNjprp0Jng+DsqnP5foYcscaAvjZ1RIsxPBPhyHqUvaJNNHvZ860BZVTw5SygsbFAgjChLpeRSRrAAIOV39OSDJYvZzR/b1kzPbuPJNZRuPh92GvD7d2d2cp3y13vTZ1jNCVZS7mVUlBK4XklPWi9XnB9dSEDHhjzVCND8LlUSqtVI5oH/VjGuXZ1RhBqIQyy5yzaOJa8G4NS3UU6Z4N2johKl/S7LpfUv66fT2wDDWlrnaP/Y+3i3gjaTHm6RuhDMHaxHSgVoIUGnwss/Y0xInljvNMzrJeF6uXqe2bMGlkRhvfkeT5U3n1hYzOEoPX7gss7G6OcBqX1h31kts3hdS4rotdH0BxKgheSx3bf76w8k9G3rldWqCt6q6htNAilr57pVUtPOJilMsy6Ir7S/AT6FSXPCmDAp0tZjlMPig3gi2N7ZoTKdfTeEj3whi1D2PQ6khc2GYz0ncAsVVbrCLypxAuZMtXqyWkhD/NgRLMCyFCMGAMaK4j+EUdfgPPwwSVji/I+GZoDY1aK6OKN7EfBKONGYxQJBtzr8JlRmbG1sa4PeHh4TQKaBQA9F8Gp7u9uuN3esfPBSDgkIkrRzFXXlnp2Ex0uQ06ri2bFSFBEJoklCJp4VoN5wrwHz0dUU45a+BrsHfWeaMl7SjUOxeUFKgkQnbdEoWgNHT2ctneHYT8olx9z8wpud0aiGSLj2Glze653isgUJpTxXvUO57GdwpSjsssH26SAy0+/NaScSggRpRLLInnm5ZlofVXlZ2gqI8WpJPtZvc3oCKWCAknREAytk/3KET4Ag1E3KJiQ8yOjbDuv38BQKwzRBYMgmSNLvq+f4ain39OBFVchOApswJrxerJ2U0BnNlSRv1IqYXDGMKpNSCskB9dYrcfSJxQ9LGqgdRAclWqd7npeEdt5QusUcRHnqqaQhAApazRGnOi7cq61Vuk8dnnBOS+IIfL52IFAzLUxRiTQ9ykya47AUihXbb1czGHWx/QFm6cjCmhgVey82hvGs8hB/QaGS36v16ZaymRLsLLfGHbnjFt2AOicOSNAxqPuhRwkkRXc2hET8Pz2hrySgUQRB4oa6xnD/xf5/TG2y6urOTLDqIec6UUpkREk5UO8s4BkDqN7xDne+4BOUFZOhl/TCc6GriANnS7j7x9zwpIipQkItNPLGXZkU1mTgvW6ol0XzV/z/Br0vNZ3YDQ6YozoIWDldVNrBVpW40vkXAjByr1I8+dA6yi1qKyTveLzB9UI7BY5k1JWaaH7p+zyDVNE6tEcR/eOOhnRvXeETORGkvJzdq77Vrkk1u3djVJJWtf8/u6MTHWUhzGfWRyErUV1IlxfXYlwL58jBz00WuZQ3pcACNz12/RZDWi4dXCmNw76jZyr0Y2Hd2Z1X+4rHM76Wb+WcZVbCiMsLwU903o35uBZXgHQiL6yHCdbC4313crfiW7t99jQe9KzS/Lthcxq7t88ftLP7yV64wsbm3J4kWEmhiYbj5MRFwJBSqmWFeVAUlSHagpeLo8oZce+35WQQEqOiEIPkDK073c8PX2O3iih+PHxEyU9kM/t+52ghNzEUJRDW6KY8p70T4xM3+/smGUB6OvUnw4+Pdm7XdE4GV0Ue7qHYxZ1B2LvlFVH9xjzXb1xbvfy3uw5qns0ooBxo8p11FAMYai1BIgHxYqHe9pl8R77A972pRnkTTfP+Sb3SdWNc538geYNTf99gtBV+NxLeTa6v9D6s3E/yPrjOMQYcb2+IsZhxrMLJC8vBBXcbhvud1pPMSaCa7hrSk0yWf/jPUAMutEOFCkE750hMUasV1vvetDxOMVgBqYXdEIsI6UzoipV0wHC3mPxGtu+CihbITiS5gP0YX4ODg+OQpwp6x+r0Um5am0g9onJ8gxPpTbGw6OzY8d7xf1hqLC96fDV64gCzo4QfkPzOfWQcN+X3DWKcm4KCwwBQ9TQ5DfJg6jrLCJmDFT7+21D8cQXMeqhZ3bFkQBCXk9LRoqNcsJCQO+Z6omyLPIsiiKjdCN7KBHM8FFZFiwy0ns3whv3vpejNIc0br4PmBRWP5c6N0kUuzrkCAJAzheXR2kOLlFQUyKUzO32Dvt+g/ABxJjQo8GrfT1eGVxPMicyzz7HBqvLDZX7CjIou7PUX0/OKL+eO4BSd7RbxbJcKdrFBh6xCvsza1T8iKBqGjtnLdp48hhLZDKYfBEij9YashoF7pone87P8Uutd86T5Vy+sptMlRIbeXkgpu5izhnbq1PZr4+sUQH4OJBBAeZcA46Gf+/Aw+sHpBRxf7rrOhCF+v50Z2gucxLAO6XZ2cT3Sg46LcYjGXaGRojB8voAirLGFJRIZjAMkjm7yPgtWK4r0pKIY4PlgK9JORPmeT1EvkOQ3I7IdUCF+OZAztO7GhuevCctmWzpyORI1ZEAaW7oZBD1rmQ9KDCD0/UTPF7e8e/lmYxlD0aW4/dN45zAfSPY7Mal0cRh7c+jnC7q2BZDdJCxTC6G3jXlQtZTYrI4NSIdIkT0lKFf/nx0OvS8No1JfJTbZ7JhcKSkgENzC97ryf77x0CO3Hc0dMkxY8glf42yFWWJl9sK8V0HBm4VBFvP6phuAT3aNXuKel5qil3vVC9z0j20HycGtNxPnB8f0r6wsSm5IWeGnOSMGIFORk7C1ErRytevP8UP/uDfgXW9qnEmuG/x+M7eJQDY940gRq0gxYyHhzcoZWNjgKCMAW9QGba079uQx2HRzaRRTL+IDF5LhjFBaEflWmGzbnKsHAqR1HiGVPqeKACsTAHDZrHPjQt69GCPi8Ebabp4RCnt4t0dF4mPuJ1tHrlW70aEkZuxo/ba4YJvw2IeiX48XIA3RxgNV79ZbJPyJZyHxY9LjwQXHTe1Hz+LPPo82bGRokSG5oOWohD2LiJ8Ipr17XZHKZvei0qLRI28L8vFrak4rAllURzG1UizpGB0iFy3MCWD5p2wnGleSJBkdc5nZe/XbEgPkSee01asnqmHwcnYv8g+G8b3vNH7kdqYh+YNTTWuZF3iZWNbvld/HQyWsnQpogWKMLBhCYwH5xiNpnkkzzUpxfe3z9h3yqtRJa1biYnlwjCeYAqaVxi6I5gISRARHXFJWuw+cH5kLR0xm5JJBmywZ+H+juWd4rCWdRwHFm3rj1+bImO8l1xfExgaQEb6PC8+uOL60yO0ELnNqR3w4lkPMShxg7JmRyjxw6x4yWv0b9e8TitlQnfyhE3yPSpLQxEZ6VerCYGZriXFQ8aKIqlV+Qjo9SPJhiAyQggoktsznV2tNew7lWharyudJ6wUSi6fQmHRVOn2DJw+TSK+IJe7NziHebLUEGje5sn3a0NcMqEARMGbkBr+3Kh7RcrkWCx9p3OzURRsva4W3XS1/chQAsJHbG2e1RElEhRWUmME2gxvpJ+XR9KX7s/3AQHSW8d+p3NUSpR4Ay7GqA5f7UfvQLSzK6SA2LtG2OTaAaYr5BCUkXVWquXvWhvquxtBex+B1Mm49g4/r2+p4dk4H3UqtSOQajGKU0/oPaojXVAPlONaVVZo7VK3nlXnbRyh87pbMOSadyZ19qzTHhmdfSLnh/6mxPDLyJBNol+SfNS6VyV7LDvBYQn1UG2uUtZ8aiETk9xNmhfP+p0RWleofdkLf5edZCLzm5Gl0dCb87DWqvmxc5uPXVWD3eeP+sxszENfHwxaueYJhHQ2NOc2pxrIHMyfJxIkqxUKECqplEppHOrsmc7nLnBtIAQKXHkdUIjT0Dp6JP0jLZRDW5j8kj4LdvaNY3IYgw/U876wsZmSMbT6iI7BaM3IpBB7JBr2mPDmzQ/gB37gR7AsF+z7ZgOEPggg8YzQ71ENhG17xu35LSLXtmytcI3LhLxcAACxVaSYcL28QutU09AXyZZmh4jV2QTfK+dVP2eLZM4HPeZFzr/L4hAI1Hxakqeus+J6NCq9oUHXtgPYK1jKloXREBVPn9wLiIiJFq/3YKpQ74E9da6A7/RsokxqkXphIZR7qjeqa2TIb0wPMwnBPPdgrxZgwsJ7vkKKiJVqs/bJOzqPueLbMc95xOXygMvlQZVU8arFnNRDut02hW2DDU1SlqivxDzsytbQgyNkvyag168KpRgPVIJp8YHu5sM/lxiOVl+Rxjg6oS5NlHfxEDf+nzyfv7Y4C6TchJ9fWVcyF3DPeRCyJ/DG3wrNr7uXYHVBPNfwe8f2rawRzd2UF2FRlJkNMkSMyojIlRCcMRSx3Z5R9d700dbFy0q1L8VQ7B2qqEVWvMteFQIeIsF55XCqG5HP5JVQLoWZClMOyNcLtLZuDwqT0zHqVntX1nbEeKAr7NQZCDLmfvzP5uJsnr5TG74bA0IzOSvv+/p3ZFAZ8QZ5qIUYKCIEJuBhyOy+3zSC6tmm7f5NDc4YIva6IWeCMwpSZ1lWLm1SgLChtYLOJVDovgt6q+Rk7R2ZIx+yP01hTEwwVLEs65D24WH2wfERFD6rL4+Xc82DnQ4RbRgzMTzP5Iv7qjpB5znRcRf510b5SH1mJZXXjBDH+KYw59aHuRT2ZDqjIpUK2nZWqpOiUQ7tI4XRAhgiUIDIKefQltdPYLXrA+X5bneHLmPdRQyNlBOXPcGBAwLguWoc1QH0/d464mUlA8g776L8IKhr4PM2OgXdt8BG6X7bgbWjd3YYM2ut3Es+CwAhj0Q78hk6twP8uV73qkRF+1ZQ2WgTB3vrFev6gOWyDJFj4dpI0zkNsB4nBGzemdNsf5PDpFuu3yQOW6kIS1CCoBgDamlaGouCDJYHWbbCEGVK/RA+CpnvgSSoVw3g+DEXGSpw9MZR1xpYn2pjJyUqDY00Qx1qNvDj3Bz1ervWzGQ7O8p1bfDaPjUs570+O0Xctf1rRxnU4aOa+rmTqHpvHffnjUjLGILuy+sUjqarjAWh7lSWhYBQG6WC9IAWGxIS1od1MDZfbGq1f290uw+KbEYX2UwxD3mLKWXkvHKkMagHNsWMx8c3uvDEoCShkDmPpKI1GtxEbnK0ViAlSL70pa8pCcyZEBEjUSJSAHC9vkLvHft2w7bf0dpYPFuEaQ8ESRAjQg8xNXgMrstaFzy0iSKzRsiieVkSUgcZnUqM5L6XwwhLAqDGi4ft+b2hSix/vAewV1ciXFAF1BucwnhFBswYRTwYzZ1KnIiihALUUHXzx2Y4dj8flcstiBHlvXHUD45++s0do0UC2whdlDnIOZHS1CM6xjzO3q0EQR82tc0TlbW5OiZXFjocSdk3Ylsr5W75Cf5a4LIniMOB3Lsp/+acgLLmVQeT8a2Wql5G8bB6aB4dLGHIrfTKnLTZayde6BDIKxy8YqvRNmIU1FwPgVE7h8Lc31Oh07pCoT7GZut7fH7ZHzEnpIXIpf69v/bX8fZ2w7d+9ZsAMEDxPHs0ybV+ut/074Zj7Vrpkzt4xPBUgppGSkMrRnIiUCeAvfE5vjC/0PfEsULR96isra1WlK2ywgdUZikUIq/oa3pJFKiaQd7aWKOt135YyzLmopSKkaByzEGK1aCqI7RW1zFegkGBcjnr6ASYyYIOYxQDYpfcbI5qcA3TLsQbEaiVauoKc6z01faoLy9izkY5WylaUobvyJmZUlb5JGRnvVWCvjYqpyByz65P90jJIku1Ug3pDktFgJSRmWRKKTvijQyKELKOiyfiCSlqqYPBeTxFGefmSX7ECSetNWI7TTkipHTIa9ZrVGKlHZg2Z7SJnBWtoewdy7og54QqZ3yp2O47wRxT0nqvB2TCpCR/TE1yHeX8lT01PL+TDYAhIzo7JHqHyiLvKKp7Rc4Z+bpgWbMqtUMufA0oTXLbLWIn5IPLumCrdwCjg0kJdhJVAiCja/yM1PwE63fbfUduHZnLmGiKkhgkfYQRer1LDDYAqjdIVLA3dl6Xhr2RkdXRIASEhMYLaCq32Qm4JOQlUwQYQGBYs4yfopaco7LXPrAohzDmMsp3OwcIWmyKPhTIrdTbllQNSk8jApq0XAZYa61V2VKNjPFY69Z0YxCnRPC6JPWd5JX0nx0PGajAQCIksP1WG+adpzpjn+Q4Jn3IGZqHVDS/pmejsXVD6IiODZ9S1g/yzjf/2mz8+sDR4budEAG9LwpBN0Zb54zrHepxYZ279wirvR0RWuMc/AXPIeh60/mZxkB+/14FED6IIAhqKCbNg5SaggIvBCTSInXXiB0zL5Tr1lrBslwVyzx4u90zttYVFpsSRUfFGNy2O0KghFnJrbusD1jyqsadLIaH62t0dGzbDff7M0rZGIfeIFDXGOmwb5J04lhwKZLEBqdMtJZ+kDyChtrKMEkkMD1jbDXoMT8HGbZSEDmaYhjGyMgwBxiVFyI6sIOWQuts3LnvNTZCKqaIgBpt0L/LboxYYCKH2AyeqUa55D8xHboYswAGxdKidUG9YOjjgTQfIDJOvXf02LHGC8FyKtBDUxgZ5VQaXFmUJxnzdX3Auj7QhmWPnUGnWZDupHwJBLs5wg9VDJVdeXD+aC6ErpfkIch2oIz7mee/VkQQhLecCCxvhAjc1ivUci1voOs6CUGjxqJgk6FPUVw//nY7+durfRiimv45XhK03+9Nn4s97YIKgBiGIehBmFLG/+K/+UcQY8S23fC7f/d/Zlg78+80LV330vlnzKD0fdLfq3lCWxP2Qs5dyhl9v+u1Yo7k/WcFRRUqdvK0WllppGtL1JPuSWtnWRLulSBhBAe1PJTWKsq+oG47KUnRCsRLDmdjBl0P8z7LkQLMESNOv+j6ox5w+fwwPkfvst8nMl4dJ17r0zWAYY5CjIReZ6RI7x3gHJvKuZnlTsyuZd808qhnyjSH9jeVoEGQklzmwM15RUBQA1MMRml1v6N2cwIK+YlcW84vdL/WqMyKfMYTDgEjaiKEjgRi/wxbQV4XdoCNazGkSP8mJ4k3JhR2PMkuMQ5lvXfwWYiGUIPC/qT5NQBQ0DO4PovROu8fGYMAirblJSuzKQLlUNW96LlAKCBfwxMffWRz/qnKtsg+1/wcyufW64rttjHAyM72xOy0M0+BsLBL84ZTB7T0FOCi0WxMwr8nyr/XrTh/UddOOJJAShoNtB5w11rjQ04ggMHxyOtlu20oHM1V+cnPuzQqa0bRTUnLqRx1Gs+GshXSFWpDWxIRVkmua+sK8RcfnhqimkfPdY7dc/v9Lwg4daA4Bm0AivYKIRD77WXR/SLkQr7Wtw/GeCdQB8bgDFxqQ23Eb1J2HffWMhYGE6rB2bvqvgDMTphLnHgjcZDzFibwZ4fMmz8PZJ5VBrV+eF/mXr4rkcb3GWQvneGafsYowtMWSPeqTCootpQ/H2XMm0sF0f7r2mB4ee26//b7rvorMDrmzoJ4eM8zfjftgyKbVP+LYLICQc1cP3BgxgvG2krwnR3Pz2914e3bHSkvejjmfNGNLCF7gsc8OKHFUMG0YF0f8Pz0bWw71ZiptWAvG9b1isty1YiQGA0hBFwvr4BPiADh+fkt7vcnJh2KWJaVjSCra+Y3VJD3lFTIRyTNCBeDBE7Qott7gbHv5Mke4ZiyAGIMoyffK0udvPzUR9g96F3D1LvriqEgkTK5ztxUkOp8W0J+YLhTkvpA7r6kiAWm2U5oTpH0XiUxXwTyN/fBxtpe85+IMeLycNX8jZRE8aXIcgCx0dLYJBDT/4rL5XHIe5DcAxl72fiSm4kIrjfXYGy34HzNldfoxFYJpvtmD6WHf4iB5qEwM/Na70Frbtl3RuEYfS6LE3zUtwgkKPxRFUtnxAd33c4CPaZ4EDZqUIZxH0h9RABKuX2WV/wxtOYM+9kwiVI/DESQ8Uf/2D+p672VpkoCPNvstFZCCKSQqbc8TgcmxJ0KvsD4fRfFaY2o/omkixT1JFHzJSMngrtSFI4iemRAB3YUco2v5phEMdxWX5YcqxCgEU0izyComUZFA4yJEuIQsZzOHgDJ67b95WReDK6WmRv7GACpJVYpFzkIm6VzHoUQgCSpCIIgGKP2XrENIZDDaCJs8ogD6V/tnY2QcU4oUmBKBLFWRxSRM258FXXBHTKiH1EwoYR6ci1Spi0naDQKA4DkYMjGzk7kfJJTOhLriVMuBr/3T5QtlpN1L0Q4kazvxzk2RMv7mK71dR+F7BbF9g7IxuiLg6Loz+np2vRaP83jMkdMQgawN1Os09LcuhmZ1j9GWQfYGa58UXpe8t+zk4Sd0IO+kCLymjlqZgg0MZwAaEmS5GCZmNbIjLqKMUBYpVOyupdnyrGsn5giejaHnr+25dSJo5kQCOI8lPz8+R7yq5TpKBtHNLu83jRnU4MGzA0hiARx9giK4GweKJq+oTWqRSr9N9kbVP/z6LEQwiHyPjxHsyCJziFAxIjAIAuF8DEtGSE25E6MthL9zt361XsfDFzVd4LNG92P6xE7J0CrBH1GCEABz10CUF2wxWS7oOa0bJgpwbaezuSOP3fldY12RuUWOTO8QhBjFIfrnOnRamDG0VkpC0XQEl5P8/Mh/e2diKXEHkgpoib6vSrs1hx4QFRHRgjg+tDkPMwhY7kuA5Q2hJedrrJXPlTefRgbbRTCHzI018uDRjRlAFMkYiCv2NZacL8/cYSJaPkJfirXq0gpUi6QN4o4MlPKZxqNTDFr/l2tOzP8bWi14H5/RmsV63ol1tCwHBbGerng8fE19n3X8hZCWOTrl/mmiwNdk7sHL7rXytwCNEU/MFlSIiMzWt1Pfx3xUA3Qn+l6vlYS3e4IF/OLJS/JEtMjbViIETkc9ONC133sPuNLBBz65vJzZqIAOQSEwa1PQjGm0cASY9SPgXrQWZhZMfNmhFGOmXdZVlpvOTIVt42vClU+GMSopPmwZ/Ow7SWvVMQ+ZxW6anBF8ghKdHo+pOZNK3l53htq8KUTAcYRYw/9EwMQYfS4DUI4giP2x1I45GU7CtZpQYwdccJYWac/kLHsN2tTRrcG9dznddFDvzcioHn96StdsxJd7JMhoHLAsa8OinLvB5gQYPvnMA8iZ3pHLYXZQk3pWK4rYiFveVoX7O9uaughQftfAayXjFYD9r3bHkBn503jqCgQU8KyAjUyC6Nfq+6gpH3V0XeCY4UMd3B19dwOhrd7JG9szPJJjG/xyvvcOo8ukH5IVEPmT/YLXawf8tcFljsOtYu6sWIl5B/C0ur3IskQK7tlnS9otejYigIaY0KrBVXJfYyIT8683jtxFVTrE6WyJNRGkWBxcGkueuwks6LA4wxenfPKikrScYNbp0aV751X5qRKS1TCO6+AhZSGdajjCoOT+yU80O6ncT341rREzrG+tRjCco+XzkOvkIrsTz0yZBbstGR0AEfnW4yIyWpPf6xtjsAAzviIR8PLf8/Lt5giljXjzvOxXFbKiWwNrdM5RnvS2G99vjpgTgL3AusDYENQRJ9E60xWK3mVGDrVDD/Zo1FrgWY8ff5EBD47wUrTkhSZpNFckdGcEyoGauHvqCxqXT8jqDWftx4dMZesP+mfOoflXI4Uwd1B5GOFhyGkOKAXAAzz5q8zz5foqf4zKSfVWWQ8kY+pNzQe4YBWk2dQ502MkPJush5kvoRJX+V9pZxDKQuGbDn7MSX0ZqRQ6uh2wY65jJ46S1yO93zG6Odgct2T+rykC0lkU+7njXb/eX2+E0NToOlzwECbpBNMOuB23xFSxLIuWC4rcaK4gI2PWpu+TA4iWYe9d6yXBfd0G9fLZAPMz/2h7QMIghYXlYtY1isURtqJcU4MKvK+eEZUT78u+HPazMQEmkgwLcwSpoosTci2PWPbKIq5lw2pJ1wuj1iWBdfrI2pt/Jkbai3YthtK2bEsK2LMWJYFIRl0MuWIa7jidX+NVjue3z3h+fktdo6UjonyIiB4ccOMkJnFj78wfFf+pue0eqNaE84JxPneco3ZAFHlxrXOAhkAQq8ITUgQOmIYy1soTEEPeoEMsTJXG3o6weNHdpnAGdn8jEJg4vvYnHDS78hzOvIj/16MBMky45WvxcJNCCn23YQXlc3J6jhYlgvWdVVIgeSKekPTxmzyfrr5WzgXOMSoJXHSkrCsiyqc0R0AotD3HjhHLh3mzmP+0UaPljBdygGPPiavi0GqingI6iX2gnVW8Mb8D4HTmFf2tM2GK6DsfDpW3wPv12/GRnND8G1ZEzFFjdZ1Wfc8P0Kso3Ot7wUcHEcxEPPg5EQa4EiyHmMEHCmWvEcKGVBKM8i72/8pRaS0Ytt2zeEUIooA6L0GRxIjJjo6UowDgdTGHtG80B7Ynok4ptYdMWa99wxTa43OUForIxRPlANPP+9tMx07d728JEDgqUrzT/duTKiTc0LIyfXJrU+5QRDIlDMm2Xidx5nGbsw/NwSCV1o4AhEpj1dzK3mu5AuhA1aj2uRDcmkaIZDTVpA5rRXU6scpKh/Ctt+1HnCScxZEHCTyq4ai56zkb7bQND3AK0p0vid0tOH5ReGrtVo+ufbHr6OXHZJiYM7Ny5E5EqDKee0I0Xn/3TzJLWIMw1z5/Tc4fbgPZa9YYlSkSt0r2trQkkG4e2vkGPyI8zXnfalQVj6jtBZhF1SEJ6oZL5WWjJi5nmse3xRnhdShHiNzAITXQwyHMMtJWQ/cV+rUEK0cHKJSagSE+lm5/AkArQ8q/ZKftTSWMzgYmmpY9q4oBmWg7Zab6GVJ4PGTPiWG7Ia40DWqkRWq87F1Qn+wkzzwGg9wxFhObkrffDvbf2CUmoyjlCKBsC/HwERnAfu2D3LO6ykegisGlN7Xpzqw/C6lAK1bFYAqdekD6Z2cz0lrrxICcMnoW9F7yPyGQMy63rDTe3uD042Dz7F8aYy8/hSC6IxmYIY0w2gBTKVO/HPTz7Fag29yTx9wovEbnZvoHdvzhhiJrGq5LhN6wNIDeutogfduYz2e12daMvK68NntAh0n4/G90us+kI02svG2quEkeSbEDpt1g8qilIcQg82EPnlWY6TE6JhkIzqq/gpcXz/g/nTHtkkeEilXT0+f43J5wLIQTGO5vMFj/wTb7Y5tu6ExQx+wobUVOV9ICWNPZkwRlyvloDy+ecB2e4Pb22c8PZHReSimLQvvNAZBhrTAaO3wnjwmagQEo3/2wnMimzlrYvD4v/UwVS89X4MVZqFEtg1Fn1E2224ePLmAKFLuAQdDGhDPCJzXWD7anUIrNSflmSwXpHcMtZRIkBpWXZ8xBqSYEBvnewBILaOU3YRvCFiWywCTFaEfgo2tjJnWnvJ9DUHZ1WieJC+Z1o2UAJACyWp0cnFp2aSqQKY0rCG7P9SwlOLO8sbseSOBSt66EAiCaOPf0Ls965mHzj+zTm+1yMxRALPQngzdl9rHaWyChXOm3K7simfbIqcfzuOthx8rSl5axBgVnjtcZ2ohEEtrEyZrfzJMnay1IobgcrOBHo0YKOeMslHOOxlgRD4UlOyNGQhdv6T4OUJQluXIOZddGFA5PyhUg6PLUhkPbjZi7U2ESHAfiyhafz2BQ4wBdcqlEYXOG4WeeIj2tRAWOWeZH0M1YkQGHplOTfEjJVX6NHv2QYxAqHuhEl3CB+CuGZnYjgy9itYL0Kr47DCUJwkE31+Wq3s+i7ymmLl0CefFxo7cq17Hs8SnlIdcdknlSClzSRVzaLVu5RliJPkXYKzwvn8iy305iMFZFyNiNEV0bkKiYs60E6XYf97Lz91SBfw8Fc4BiwxhV+VvivrMKQyCEsorsT9KCYgBsjgZth9zU+MSYgDwPobtT/2sGPGYz4+Ay8NFoZiqD54YdjEG9BhRO+sRTsEXB4AhiII61nx/1fCaHKExEqx3WbOe3b1R3c3bu5uyF6tzR+pu85kqTtxW6sHQJL1lPNdno5GEn+kR/tkBgYyOhhkwOmMocDM6e0y/OA82HHWN4+dULjtoOqUuxNM1PpR6kjFwZG3e2JcxFB2r7qSHL8uK6Awsc1bzGAeqDR4i1z6PNCe+nqmsi1CF5XVsg6Niat6oGxxPJ3qx12Olny+1Wb+TeRSiLBpb46Y5m5dZxpCD0q+tiv2+E1Q9U+qLd6J5QTvbDr3T/OWVylhtz5s+61kbIMgfiOb44sYmlzFZlwvnbLLCwlEfii7ZYSfG1vDgraIrRGcUDCEa02drjRlIaeAe3jzi+fmdkgGRt7cSbLZWLOtFDbj1esFyIapfYhetHIXaASwAinqkJDK1rAvWhxXXV1e8qW9wf97w/Pkznp/fopRND2w5vMWo1BYCIuHT1CjzJDQAFD4rzwz4aB79LRGyo9JzMul8H7+AVUBWZlyd8mFmb5QJGhZ87HEcSqMoxIKin17ZVnhBt6RuDyOM3tgSg5K9f3WvKGWfEsybRsR9fqsfi5ijHiQhAPtu5W3I8bDYoeEgi77JoSBFiQEMNVjnOpomOOmAEg+dZ6ubbXEZY//PnsU+21ofSmx6BlHvbYP/XW56WBI8Rkk8+sf35P61VPXCzt41ZTqd+3zCPvsxKmCSUC8U5AKVVpIC2XtMM66KreQxRUDrY0ZiMe29H2Caes2TMRzkpvyUAxJEX9+ZGdbKHhEJmF0DyOuKmG0fSJ1M6ntH2Xf0yvneISBlW18ij1qsCAkoAq1LEdnBtmOOk6LH+Zk54jSy6J5FvPghgI0c/8Tuq3zNwNGL0LsZlpMR4a8thGlyKKtSNnnqx7Ef7y1ohJSNFbU1GX+6JkH5ydj0jOqhEYqntW04S2IfZVOAc/o5RdIbPTFl9N7QalEHgcFnvSFM96OxMBK6GCNQA3JaNMcxpowEK8cgz3Zobh5b66o4+vHW/vJZEtj7r+vWwdFkfqz1wSHor+v3gpzZ5OiOuv5pvB2k7CR/Tfogv2dmnRWHH+WRVWW4pbWdEGtD3fHxNne2eOeGNMt5tgiKfF6crEYKZilQamjGEeVE5CcLEAnN05qwjbr0EDD5UyS5JgROglLq3dZajBEhu/SSFPDwySPyQjpCa5T/tj1vxB4r0ccOi+5hXGcWsQTrCrwn9Nl56Lh/KQOhBYTKYzhFh0IIh4ipODioWoA57mzdg0uzRX1OnZNJhvnmoZ7zHuq9KzpM/h7OcKevDVBQfdtdz6FDAAwR3N4JKXC/PwEAIc14LRjjuaXiBNm/PKYSyMiXhfQugXxy/1M0MievX4nBKWPjc73n+ZiNTP+M/j35/EspQ36cdYxcP2o5kafTeL7vuiEELs0UEB8vGt2U3NWh31OZPQmGtNrUqebZ8s/MyTNH2xdpX5yNNiYyKhfxrBIsJ+fMUUPZsFImRLUt+lOMjWbRlMQ5kikTsYp4S2NesF4WVSaWNTOTLWO6Q1L2146GfbsT2200muj8mNGaGJ07e3TNE6OEDzsZPiEGjpAuuL664vKw4tX2iqKqt02ZcT3rqU6GKAlsFIjnOQSCJHlhHmOyg1sOxGjsln6hS0RFF7M/1J23TA1aR0JTJwir9lO+Pxg+Itx97kA3opR4ogTw8xJDZeUDKernZwWwtY5929XI9LmyvnloshBCxUhKQOsVuIOi4ZlyJJdlUSVDcgUU1z8RGg3CvFEtO5mzQ/1MGY+JNCSEgOiUWVGCO+dnABat9ULQC3sPy/A5rb3S2IVuXuF5vv0ceCFK/7STdH2d83BQxvtgjANe7Pjoqv1u954F8cfWltVyzv0B7/NqdY+wISLwF8CcAyEEtL1qflKMdMT3+fAJdkSECOj0y6sBA1Kg9aaysYPWTArWH6APSlEWtkGWD6VwyQ52tKihyR5TVeBErrCSlDoQF5abSmVP8Nq8LAdof2BnpAbHnOIyGhB0JiSpPazjzXvEHfgAyQUpBt47kSJVB/v0ey2OC9eMWfGqVweTFaIIBEM9qJPMIFHe4SPrJKeFczBpTlotPEYRMZJcoxxLMwxrLVjyymdXtrJZjKgIzaKE6FZknVI5RFkkZ8VQnkuPpbFMlzRy6o1pEuLE670jgZ2ELsXDs0pKtDemSDnNk7IVQgCERKiR/Jllhe4FkUEDlBZDXq/2W+RWCCN8kxdiaw0pZ8pz88iNziPbxvtIK3tFXqmGKilnDSG56HQc19XH2kQ5HRVxy9lVNnmHxvGRaTmDTsfJ7cnGDNpUSogiLuL8l+/WWhE6EffsZVNnnTCzynqNDPk/OKV5Ld/e3VH2ooajvNcABI6yW7pJwHIh6Pl226hPDgHlG5Hn0LlKa60P574fA+lLLXxWHIZmfEUczpQb3wAYukKfs3WFnIqx3yBMvhPcn1N7gI4sAYAZvil7+AUjQ1BaMsYatQ3MQzA5HKj0W1H9TRz0oidR36TUDq0nGTcNmmwFKdN3ZWwHHS2IDnOUE/Lc8/O9pLs4kT5cb3aQnY2Nd24NTlQXIZWfZw669zZnY2y3jXKOOWK/b0XJz2TexNEAcV4CxFlSKzIH1W6fP5+OwfxMH9o+iCBoWS5aX9PgOAtSWgbFjAZ1XJy9d80HUqML0Nw3GajlyjUzubh45A2dUmbPMdH7kzKUILDasm9ojYxfWdh5oWTwmF4NEDZfH1T716hAeQlBBdhyobpQrT5iv2+43zbcnt4xpJfyT+mCdqD5iKYZMlGN08SKnHi/0CRqaOyIkhOjHh9PBx4Mgy5RkYNnPhok2S8onxDsE9sDe9C8gPKlNjQvMNozBD50JEoMwPV/LKxbtoKy7di2DTvnGBH5xVH5TClr7litrJAtq0Y8yZu/c55SYHbilWn5A4ShU8Z/WZfRoGuSON0PBmatwuopAzkeuh5SpgqqRHQbFdAVmn9R1kIIWqtwFDRO2d6tJh71M9FBwn3wcBv9TBjJMFRYTsqUiAytZ8djQZTmzV1XorHQ3A5dM5LnoePAEBgcc4c/hia1v6IzIHW8I5XQEXKI+UCbFW//njg55O/hdW7qo+M9YAanWy8bwx5TABqUUTb0aodqCkBn+TKwJ5vhkFNDb2nI0wqRlG75TFoiYl5RdytJAgCpBZSdyGdSDsaEzcpEdOsEEG/1MQqmz90NQTHLhFNnF0RxNANULxc95T7D2yVdQK/rFBJnMA2FxMGKnxj/E0RLxysnrBdijpUamzJvkZ20MT4gBCqPQyzown1wQc4XNqALfKqJV+pbb1pbszVjvQ0hoqMRgZCD8QkZkX5mUoK98y0tyaLYntgkJyQx6D1xCAuKEIJLiTCFS65LyvAEtORzUpV++Z7rTwjgnGn6nHdQy70058s5Y4UoS4yPQTF8QZGW9dZKAzL/3QwmSGdmHGHZH2HzOsQcLZEx8dHtweCUdSSwe4x7VnUWp5Cbww7sjAkIC0H9lQQxM9pqIZ0zN8vFpuuOzyA56cKyHkLgmoX+M5SSE2pAyNbntGSVIVXSBnpnpu+mjKBUV1fYQMkglOiVX6dnhoXskYaGnuk1IlDqA1TUv67fbx1IYySScqM7yrZj38owhzllrdcsKRNSP9b3a4hyyf5IvFecbKQIdB/zeQF1xgcpN8QydN931fPlfpK7KdwZCs0NQGfYtjCjRzU4rXwH5NlZN84po8XGpVTG81QM79lx8pKBNZCVnXxmRrENayoECCnQPN/DPdyFvX58FjH1VRyUu6B33J/uFJxbF1pztR2+624IKTlT9oq0ZFyuK+7vblznGoRqSk5P9CUHP9Dg/MLG5rJckPOqRCnyO3kujsQr8lMWnOR0zqysFC0lbLqH7nW3sAASRjmvqIxnoXzPCICiXuDDbWsNYd+5n8QgeXm8UNFhEQ7Toeubr1lJir/g+VekJWO9UJLtvu8abROjUloIYWCd9YeobCI1VqLBXwXH7xefsMfquIbA9PtmfIlCpYZS5Y21LhaNES+189LJJpEkdA/pI6hFUqGtUecYnceNmygyyRRXUUh2hr9s24b7/WmMaLIDwsOS/fyHEJQyfOGCTHRASY4WRT577yhFSAkSlpSHA0kiM701FK0XWA6Hqo6zwHm7R84DnH2OuluO2Oxtm0mSeu8Awz3gPLAyZxopY9jRWZsNzVlhHNpkxLzkSfOMmlAYEV/iEKFyxqxe/7SrH03z4yZ5YnoY1iMhw9zmkhtewTq712yEEeGWQNfY8AwERyuFPfVthM0IbXwtjnggkvOiloLGsFtlTXZGWc6ZRK17bnUkOEVIPNwNQEodIWR1/lEnzJESU7DDq41reFY+qb8WwT2T0TJG0ofQJEIZDggE/3k0oIfG4zNeGwzhm/eYlFUBgNiYUKuKkWWyM69Zc5UAYLtz1CYnJCzDvZZlhZRUKqWAxJ5FkX0Usncqx4TB+RVRiuE55VoA9HU1LCFrTUo4RbRGDLcUcU0QojpvsAlzd+CzJi4ZeUmkqPqofjXnAClggZRo59BEc8aJy/GalZmjI2CaQ2d49g4iTGmdI8ji8Imq6AqL7uz0PMh7yBJgpXfvwGLpLL2aTE4fubHpHUnibABOxqyPRtGM0gFgzh3XVCGX66lu6JwVLCe9bGhs9HSGTA/kNI0j3bKWesflYcXl4aLGkjhu5bZClCbs8eagJqitXEccGtq31gk9MRjM9jwxRSgLLY8hOYY6erS1T+sZKrOo+oCRvOnYBnYCSQ3QOPIySP/oTBpTlchZGAA+t5RB3elWjYMrVgfcGRn6GrQuseTG170QMmbiI2llU1l2vz9h3+5ovSKGhPVytbl2EVBAnBwKfbH534si1cQBmNdMc9ka5fkGIe7LNlcc6TwamrrsBj1nZtyVdeUW7gG+HExcHVrvgoZzf/s9NMP7J2f1/DudRbCgRq3Ybxsujxcaj+b5D8a1KTLcZDY5bpbLivvTnc6xE2c53fo3EEa7rg9qJOZlZXbapJEo12PqLBsfArNttfCDN7QW1PNea0EtC93jsqB3gvR4EhwfqZJaZGLExhjQYjKIEQ+4ZwO8PwF7skjhTOOcF1YYHG6+MlU8CTRe7Jy/lZaMS6X6dvt9R+/vdEIVfuYWu4fh+GcJgaBrcw0xX29RBJ9fvCFILlJgA88tYKfU+uikV4gkp0paTHQfgkdFLawuh4MKIObOqZUKbnsmyegMTXTy9BUuv7DvO/b9jtbKYGi2brAP9M6wi+wEGf3c9zv3b3GP2bEs2fI62WMYqnlZddwkz6p2VtYtz9MbmAAQEI0kaDIA/HrsW9c1qt5x74EXRbjZGPqtK0aEXLsWpoV3hgcpfVWN/sFJgBPP2UmUUZVI9zyt8kFTGq+XSRjrL+de2g8VQt8PjfJ6oqubya+XqhDWQenqdmgLOUDvDEE/yYPyubnSSElz8+tcHTFEVq77kP8kho8S33FuNYChtq0YmoMRlxIWB4+SOZf1mpYFKWfsRfL/3NyL4bdELBcjZhFjR8ZHjJ6XvKRETMGRchnOEDSqL/JaYfrTmHnFZVzHo5LcKhATNCIPQCNqwPk+l+/GGFDhDWFTzmupKJxK0BqR7VBZkjzIFLk2OUwLYnTID4Hzyz19XmjvZuC34pytkc9SjjTL3g9Ab1VTR3QuJMqpEYgKwNZ25VzFeSxba8hy5rpIf+9UAiJwjvxgOMq8xAl1I3PiDMHuJ22eAz/XCg8ThV3GqGs+rbSq5UsMAgpgcBoNfRaFmeU6VpfCEoMiVH4ryD2A97lMW5LIdhzfn2Tf0FhB9/m1gBkN3jAVoxDi8BY55vkBokXmYzPjsLMeBDZQUqKqBgikh0RE5CVj73RtgSB6ZFvvnLfezXAFLMIfY0SF8DXAFHQxxvh71M2osFtBrck9uqD3gkOmNShxUoxGbtY7kKJzxiSpopDcmnYRYEay9S6Ow8R57U1RLfMZLvcZnJyR0j5sm5JsFAIuMU5pfOTembcvyai3b7+l6I0QE1IiB1ApFABSGLRjIvZ608x0u1wWfb2yAdqEdwAwXVWWijjOy3geuKV5+rq02fg8c+x/N4bm7KiQ32e58xKp4yyb6Cyl/m23DWnJil6cuSRkvICIyKkhVCe5Kivz/enOunGfUhgMMv8bZmwumTaxkAGllJU0SAYwpYRluSqW3jwvHnIxJzrT4NFhFnF5vPDnWHHjyJ4k6o85faSwETQ16CQLRDPnxcLxzIDoN5ckbJdtJ09STsyMa94Sz/BKfZJyLZFzTUkA7DtDOx3RjNVL67pxUXlBJBKEspnE8+CbF34y7y8puD7S6aNlUgA2xKh5sULcM5QmYQOt7Ow5KnXwDIcg+RJsgMeusDiri8r3LAJtgBqaEtFUz+EJFbQIHlGcBCLdAdxbxcqU/sR+nJDzZdi85b5jhzAnB6qLKLT2pSnDHkGy99GYdCy0/pqygTUPlPOvaPyIBKO2PngulS1TIwHQQ8KG26I/MqYEHR+JAug9EhxnZU7G9WLwV88e572lUihWvKHHSL9c5zsz0X6sTZ0raVwPNucvGPuigLRx7Wh7D0xneHFydHR0rpfqUwHCeIjJ350jb5Ei82W3emW6T1xdQnGySUTLk0ZFNgDTQmRtERGN95G0mNJBJikyI1hkMybK4xEiMR/98N9PStoyeYQ7R3ib1Yztbol60ouXDslTz7Vrcj85u8io8U6ErmWiJLJHOf8UEamcpylM5nIt3x3JzUfvKHVn6CyPUUhIeUED9AzTdINWObpNKRliUNI1M0JM8ER28jxSDiXEpKVQpFGUMzhZ4BEjkc9Wkj+tBjUcfASEYHXHqJ+QnijcN5oM8qWYtM5iCIf9RAMYRqMTPrrQB0VL4XkunUMgoLJmzHPvbV92MDORRtkKkYPJ+uKz2+stH1sblNsQDpFNNbTcWeL1D2nvK40ljiHR9XQeWG7xZUmPk3xJvyaCIIGg9/ApJnQPkhHPb5+pnuaasW87QoxYryvykhnRU7Uusl+bAVB9rfWuyDKfctKboV3EqYImukXSkllIAFgPmse5FlL8Fa4tOf1ybrNzX/Q0ifLp2AYgLFTaLqRoGdgO6QFgrEWMrkhBOc9661qr1xvaFDiw82CY4xDRe4UnHuu9cc37u+7r3iraYFyxk6q6dA/Wu32+qzTJ413WRXWVUGks6l7Mee50HT27suWdD0SZrdvx6uTKWYRTFugcDJLxGx2EndPKnIPBRfqpo27+YjjIE+kXBXHMqSKfRzObZ7tteHj9gLxmDZz59amOQZHToat8W65UL3y/79SH1sEXN0fsNBdfpH3xnM2FCkRLnqaQBIm3dl0vuD6+wnpZyNPL4XY6tMnLSgPKpDkwId97x/35jlIKrs9XrA90KEpeVKuNcidb49yhMTJHnsygwlDuFZ3iDoghagZk2QpijpTnmcmwkvy5lCmahJzIg8QTp164QAsihAUIAUtd+aDajSVxyGH1njoSSnnNw6KUNhgHvY8CV16XXx0U07/moxpEBlOx9468ZMpryVEv20rTRVy2nRPZ03C9GNkbzbTUGgmuTfHqYmiWbdd58SyNtFYyZBl6Tw85B0ZlyJcOqZXKC0iduMxFknsnCK00GoeCEDLPhdXBrLsp0jkvZnBORmZ3Y97RELoZotIXiSaJ4I9x9Fr1zoQszYRsaFAFWZVRPnQ7378xht4OnDD0R3MXPFxtXituzXuFwCsUjaGgZrAAvrbib/VGcHZTjAUl8L6mBgkf+PXEuQCYR/ml6/l1GMIUiYPb8w7eSvUbA5cZo/cpj2eE9ejzqTFJ8kxkaBZIf44qA0jWW5FoVUhBXvTIFP3d1eUReSH3GiB2k+Osq70x7h81QsSb7ph/T2XrpHjqIQ1zohy+I+NZx/e0b4IOThGtRWcYOeclIxh8E+OtVprwlI3XIEbK1exbZ7I0QnQozLc1WOktcp7GIHn/7MDEGKnY95tz5jXN15L1k/Ki0YYVQIsRxMxe1Fj03AKdHWQkg6GODjkbPfxxWLOTgjXAMzHug7HOor8ef+bM0PQy0b3WAICVciEw6q0rMuEl2Lt3+oWQ1Kgoe2GIdKSIardyLx9bG6Ma5zLrO18DmJ1H3oHJnxqMfaopLU4ZSzfwaThz6pM3krTPLJOWNavBGELAft/x8PqBndvQMii1VNyfN8071b3PJEK1UB1DWQutTjIlBYWhel3Mj1/vghRztZlPxrR3Wu2jXjk2YX8m46vrcxJLOu2HGqx8kaRMmSE4Oo/N6cI6YmlAoqCBnClzHW69Rquqy8m/fd9xu71zzipCHTY2YilFI+n1Aih/sxUz4POSlLVVHfbZnA5Zg0YdITYlDfLP5NES+uwhaOQZgDP8Jp17gtRiGiNpFjQI+jeRObXTdSL9AKAEdPM6UOcBrwGv28m+CCEw2picqnUvKHtBygS1ridrUXTIznuMyvhULJcFj5884tvbtw+yVwiGzp7919s+oM4msUoteUVkYy6lhMvlkSC2C0FmPcwrMLWit+ADrO6aLEq/6J8/f8Lt6UbY7+cbat2RM+GTB8ZWXhhJKLnl0OBbScI3cFxI5lUxNtq0JCya40i1lsQrLQemRUbHa8mE994ZV96wb7sqeSp0hbKd6awBI9WRRSjRK8mnq6UeDmt5XiEWkoLs0jwzbEy84fj6skBDNftElAvapOB+VU20B0jgNfbCpW4eTCMHEoZFY5QjZaugd4EhRY0KqpQF0CAFkp0X8LDJrRD6ul71Or03zXf060wT1GtCQeG1wjX+GnkRL5eL5t7Cz2rv6DCyDc/eOAiPTl59FY5zNFDW3IkyKtfSnBfnNBDIn8wl5Y9ZyxN0zXu0ZuXPK1ozokBIs/z+CcIi6Yzwl1oM4aOMgHomVhk/DyGaDXdpZGBM0TV/YseAXt7vMZwPIX9tuVZMCY0rNRL9u+1lYdwuevDL/zok31quLRFNY3blbmYhJjOPqShkflxCSlrDzoyNBiE3S7Le+CANkoMqOYoMuydjlPbwUPs1hEF2i1IZIjhiytB4l5owpFy4er7abzYsx9xQU1ZE3p4pGZpn74h4BDkxs2oDUBKzECJK2dTok3OM8s0d2kbGkCOYNHQCJabcrvv2pOkI0lJMalzKM0lOemTeABQXAWjCNUDnRkwZOWeEYCQpAJ9X3sBimaAQLWdwaqqId4Qkizx1+T7sfNIxn/aM7q0XZCZBgcfXaE4Det/J4GQjuauRaAQffk0IGV8IAS00JH6PSMAq8pUcwi24esgfWTtVLFtHj3ZmKOu2yhP+brQ9NhDLiayKtoeHW4isbKxfAQcDUv4WxJVPT5C1KAbiel1xebyqXnV5vOD+dLfbcdQpub55OG2rVWWJGJq+jJvoW71betK+FXK+T04uCWacOTi0RmIgtEAIRDgn+0xSadBFRjn92Mss9xy+eUPTO8JMJkZ11pVe1Im0b5UDOhbNlefW+zTZ5+TAqbWglA37TsSP4kgz/TSx3SC5l5zrWcxoE3RGK1WZgf1zSspPT0TYBw5qII2kmsYtEg869VCCj9feqaMeGF8/+duPiaznVttp1QL/8zu9DozOZPnZpnPXo1b2+z6gI2V/nPVZrlFLpaobHN2sJ7Vr6Tw7X1+/nvYBBEFUR9MT3lyvr6jsCScgC9uUWPr8hIhhjGTRy0EPVP6Yvi6fXZYFrVZU9v4uy6qeSvEatNboUHKeocA5HP6a9YXoYUqElac6ThX7tuNyXYGwYb0s6ikVFtneO3mR2PPjGQAFXttS00W/3za0Bo2g+oUwbBQ2J2qpyt5aa9PcUzGAxmcQpSVrAeM45YB6Y8JvxJeasC/KhhLvXRDB7oT98Hu3zRJzGh0OAGLM6u0CMMBoxdBszihFFwiZN7SNyZgUy2OJEACa1xRjxr7fNPK55JVZI8UbRbU5d8DlAYwEJQKvNWy9N9h8jgeQEgwqeWaETdEAu44TNDLuFUPEFiA69pQSliuV51mvggBgyJ1AZE8YyoZ9x4K+stfQG6v6eO9ZI7SmAvDyR76vmxpPHOkXONFL++Ywn43yhwGY4qCHN8sjx3hIrwc2rlzOYwR645+81OmwjwNrcu9Qpm86wD2BFczZwTJSIVNOKVHvagjqrRWIVytN752cYiX1SD1zHlI0JtokSqbBzVLEAK8T51p3cnE+kBsaswGzkeoiHyGSrxfAqZGoPhORhwLZc3+HYHB2AKeOo94tEle9w4mjvWKwk5EzppAAjaGukoO+af9jSFgXX5+6qfxLKaH0hn2/81lXmAld0kSoDBmVwjHCM5pTVs47r5VlJXdZTJqDKwsy5wW9kyxZlqueoULaJLpY752hyhTtm1ndc+bI4Es5sO73ed2/r3m9QecQ5twRfUTkJtS5aDDFEPiMMruefk6OJaSoBERUEqVxuk0+rK2PpfmIpKUNMRIn2NhLBFmIxERGhskh0eEcoGyE6u/wBr/Jol5HGeouR4a/J0FxRgNAxDHrw2rs/bwmBK22XFbc3t3U0U56jNUMFnh/rfVgaHrYpScQEoNu2yhC2tGYx8TKr8UOZelWAzRK6SAwEgwMI4XWQIw50hhyPySQgWYRSqk3OjhoNAIMAJZ3l5yMNpbdHfttIx2gVDWqtcRJIAel7q3q9NxF0il27Nsd237XZxZmdFlPMfJ4B0srCwHq9KTvcUWJUpEkhQ1ghwfXqQw71oulxYlRNUNcvZ7rZcxQtuxskQGai+u/I7/bR7s/PjgIM+e52mdnB9rZe64LtNYEveEcNPp+DOidrIX9viOliHzhdLG9K9fSwQkuej/nvq5XIk199613ABxsW8bW5ed/0fbBkU1jL7xwfiaH7adAiAh/geYA4LB60gNVFBv9joNdhUC478v1ivudcOBySIvB6XND5frCdnXYiP66Lvm6947kymoAUI/VdiODM6+E/Recfl4yCkTRgH5XhJz2i41OUTZb7Yz35+eUPL8JgrptmxpMWkbD1ffUwuBsdNW6o5SM/U41xpbrajBgdx95fu9t9M99tlGkjIwpw2TchGrwTo9TV4O8NoZoBc3jpYiizH9CrTvECz+03pU0yAsugcMqI2Mnhcevsd4rAqgcAHnd7ihl5/uTR/9yedScpFobcs7oKWPfN2ASGlFIsE6cIa2NSrESSTiFXD1sM3zDG57tOAcD3MN9ttaK9kTOkYfXVypevXKRXxd98+t7nlNp4pH7rpuDWPi5+tiaefc6yrMQsthekL/9GJu3k2FW4l2dDCBR2mfouzRRFDrYlmcITEdHyAlgUggyXIgdsXWJ9jgyB399d7DnVSLxpgB6g1O/K6gMsIErzrxEJTsAKi3lHWX2DOaI8M41RVtEUwrn7w3jyIqJwHP93rBIK3R/REwRBh/9as1gL24+BjZMGTMHAbWx8QqBGebyubAG1N2eqXdhZ5S+UJTCe9cLy78lr2z0kGyPMWHbnnG/P+F+f9Z7qoENQ5xQekFBDEk9+PT5RM4HdnqIjBWDszbL26UcXEp1aK1hWS5Y0mqRLJ2fYboUoiWe8JQCRywMpeGVPx07lz85y6Th+ifn0lHx69N64TXM9zNYOCm9A9TtJBdLHjREEFRt26nWXx5Z4j+mNusBukajzZG0w16f8jK9si5/+rPspePCywMx8nyEzpzaRwV+uSyqmwlXBOViRtRSsFwWyl0XozW4aHZtmn99iGiywSXBE4mOdh9MAdB6ZRKcgnW9ag1wNbRj0BxCGW+SNwFkmxpqSnIzRf91Q6rpV+87cuf56r1r2pMYWlL6Tcewm5M6paR5reLY7L2rE7E10j16J8b+UndIKScgDs5rIhBN7KxPIysuoE7MViX/s6EU6tt6XRX+yR3l+rcjd4WdWW1Absn7+ozN9OBDfqiz6GZ5MOfcB14T/HFGIE66m35+lFsHnfD0O+5eTkc/yMAQEDrZKPmyUCrLXL97auKQqAxfvjxccPv8Gb0DHsFyJne/SPvCxqY3NGNIuFweAIxKjc+j8W0+CIA4vuY8a/5zouCtvTPdMoXuwx4Q1qCHYXQb8KzWUe8m8GY4mCgXIVhtuN67Rufut42IW+6RCGfYkyDCQIwWeWZ/f8KrMyzWeZBipk0onjRPK73d79j226DAivEVEIboJnnYBWZRWBhzDUnJRV0MsuvHw+co+fny+RECO/XfJVz/TrAid7D78ey1qUFI6yar4UlrxGANpFzR4o+dopXBJSoLLHBdr1rPVQxKAOo1g4/6Bs5Z2+/Y7s9MQS6kHxSJuF5fsSexQZKwl2Vlh0bley9YFmbA9UqzRDmVOtwptu7wlWdUKFJrw1rX9Ydxz4jHeL6eb7VUvPvsCbU0vPr0lTlA9joo4/5eAMzrx3BiOTw7l6wIPH5+zn0bBHy33JmPqYVAcBPar13JbPxcyufk51HmjHvKPveyfW5nnnha2VHVmpU/SY7dVmBmDI/dNd9a8jEpGthCA9h8TZyr3QKtXQpSOJIfMbTYIZYXQaVY3p5Zkv4AfHEwh7EwhAAOYya/y99z+oCPYg3jNI2pKB7xYB11jcgo3JNfF6PbG5j6b3LIiNEcOim0KSeNeojzr7Nsbg1qxPXekWJG6wZf3/c7Wi1Y1guEaX3fb7jd3qGUTY3PFBMKM7p79muB1Poce/SuEXKtRU22rsJxiz6rGYG9EwFbqxX7fVN5LetpllW9m/wVT/jZ2vaGpW/ekShKMV0jvLieZkV6/l2+j9bQekeLEYlz4AOXBuqNzneKch3lLwA1dvatKCw3fazGpjfaxTleGxtK9JmDjANeTqF4j7KqxudkKHhdR4w//SdoBNdfvZ5Epntn/YmghXlJ2LeOUhrWa8SrL70a9rMyW8s+vO8Dez8ilTgre1HYPK33rnvZsxQLyul2e4eVa+cKK6w04qsYxxwFCJFTliqIpIVlk+ltQPBRTdG3oji9eKzFyS2pFckM6hAofS1x3mBKETUnxNY1JUPGQsc4WCpCCOAydpSz2VvDtlO6W/PkZM4WyPlCpGcc7RVoNlpHXheUZmWcbH1QUOD+fMfKQZNh3oezxKV+uHM5xkClciYERO9dST0lLWxYT+489z8PfeT0k94tHeOsCQeGXd5xgrhnOrvP+0jsLOrJPCv3Hct1BTEa9/f2X+4vxEvrwwW3dzfAlR/UMfv1BCJO2gdENrN6H/KyQpioZgPxaGiaciE5Q+rxjJJ/efQy+utR5GY0aFprSBCmPYK+hCUBSKoAAJxrABMW/tqAea/F2+4JLHZnQPadfq88wZ4K/MxwGI1rNrrWqAtw34rVOeR7bNumhiY6lQaRKHAXPJ2fk5jVCSDRvCZ5Kz0zpLlhYeO4oTllLwwQ4Fm5Axv6vUsJGRwgC9TvfthAjYV4CImNcVfuhb1htey435+YkbGq0kRlAYyoAiBDU2rUNck/8Lh0GXeuj9nRsG8c0UwZWmqlVQgy9XYD1nbFsiyonKsRY8S6rgpfTikDMWh0W7xcYpzen+9GIQ07fM8NjlGx8mvnoOj0k9w/93kvTG7vbqil4s1X3yALk+c+Rtr8dUJw1OvF56UwyQtHr04FbTRhKc6Al/IDvp9bLZWUj0oCWaNfapRD5ddMXiHv+YPlJQTB2VrwTYwo8aaK4qDvR8uZrbwO1VER2XsPIzEwQqHO+6uigwxLYfn2cFJRYuQZQjAvb3RrRB1h3SKFR6zS8Rm9zPEGlIyV3NeXrPDjOxu7DTjA8VhngjjKPGQwpKBMsv5ZQyAWdH8lmm+gVlOmBCrdmymeMSY1Ens3MjHpe21F5Z2w17YoqQU3MvZa1fx1YoGnOVYmW3CkspszK0SCy4ohG7mEE907W45qqygqY5fxnM0k4yhfPWK73TVFI64vRPV5T8zzGvOk/HWaIMvxOzqk53mTeaWLvE/HOEZI6SNWOzGvWR0ncTVE0YEYxN8cxOmw33f09eWo3Pd783Kp9z7BNdu098bvehZTnZ/3OCA9VNHgleplOzU0ZyfH2TrYNyNLEa6JZc3Y7zs51WIAEJhwpimaDCCeCW9oErllHWStrscYiKKlNfRIKUxzeZ/tfuPXHhSF95ITjZT6alG31hShQcSNEYhcbs6Na0pjmpjfm03kf7AauvZeY2ZwO8OU3ZXvn/NYl5M+X5VgESA5Vhwc35CK1PdluTjEhnMkFuZKEcdl71RmsJAe37jkYIzgCCoTIsl48TlmuuhxrUk/tO6vW7TCnk3O2KTlY4bvuzNCzzNG9tBFBM1hMOtDH3wu89S8vmAOF0tlke978kb/bKNx3LGJsZnTAE8+a73bmgtrxsPrK7bn+3u/80XbFzY2A4RhCsh5heXSjUnBgGGwpfVOzvjlspLxcR89CmdMWf5vgHD5+31TL4l4m8XrqB6YGKmWkiO/qFxjRjH5jvXKG8tiaArBBWAEFK01FN6gCIEKp6eR7XY2LsUwkfcERiA1PKUPvTOFft2HsbOcwMYwKTKcCMJgBiIJiGzRvi4EEQmJn5Egbw7GNc9vsLxE6Q/gwuuTsTLMX7Cog3/dGIg7YlzQWsP9/oRtI+Knfd9UMRNFqdaqSlUAMWLGmLBvd+xh47zhiJxXZkU+Khq1VuxlQ6sFVJonqte8tYp97xxtqOj9UQ1M6nfg/NwVMUc8fvKorISa80rZ0wjBFHm/JpGO5X3OjMozQ5Dmrlqey4lnec5N224bvv1r3yaDM2fuR1Tv1CDsh33axoPyZE3YfAbzTLr2MUY2JWc6MGEMcgIFGQk6bdEv+453uAh1fK9m3Pm9ckYnL+/JT7rXybrxjh3es9ttM2PSKfMBAh/sCJ1SDBDITUA1JzOQHcyevcGSD2rzb0Zoc9589bCyh1kfh50WmPxj8/qnax69vXJfVRhE6fFRxzbm5CAEhHAeUel9VCBm5fVsDmgeuxlNEkUW+L0QMMl1U0ToJJvJaSbRTYPHttbw/PxW37OzJ6kDDnhGTBlVSp6EDsAgr17eFTZYyVEwpiT0ntAanZcpEWN67x0b539K/mvvdCZcLgsCwlCfMzL5mRjieUnOUOiKbgnD3I2yanjOiTzG1sEIs5XPDLXeHIRfoL+aB9cl0uOcLQAp3L1raYAQguZ9la1QDVh3Pg8GtOiVrVGuX4rvlZXf7212FsvYH/UjHqczDZsu5HSe0bhUw8DJL71eP6Jkhrnh74kTwRuoss9iDIg5m2xNVK+dHKoBt6ebGX5OfjQHP9xu20CQI3Le3U77pMaaBmKqOt6slvfjUN5OvkvjzORoXq72hrBYORCBwJZC6zAEuDSdoGOYsmPNzRzccKW7pIVgDktxViYAMa4cxaVrLGtWub9vFN1dLqTDtUKEbuv6wDJL9Mes3r1lWYkBu0utYEnlCkAMrO8WlUutV01nk7FqrQE7Pcvl8XKKnFTbwTt0o5TpCxaZh8mFqhUVopIied3ozLFCa7AbMq1hGMeX1+7R4DyeT0ddYCALmoxOkXVgpHfdK8q2I6/LkCog+0/2rtxL1nRrHctlxXJdtYLEbH99SPvCxiZ0cyXNu5ODyCtZAHQzD9Ae0KBI7SOtV/cCTNBT1lPHs1IlK3NsJKp+gcRIMnUIwSVLm1EYa0BLCTFXLXMi95L7yGAr2U0KCMzmJ89YGarYatUoqj+sxNDs3RZWTCbk6G9mYGQIlkCtaPwsP1PYBCXxWhQBqb8mjQ4AYk21KAE/X60aiRUBps/Z7TnL3uyQYeigICww38uWxWBMSSJ5yot+JmcxNN9i225oTRLtaQ3UUlGblMlhvBeo3M6yUN3V1s3jR0rVbkRAbIinlNBBhFL0DAQZ4wdUxU5KEvR+Z0GYVYmUR40x4Pp4RV6IZKKHQHT4Ej0EOTpw35mYaly/cgCeKdEvGRnChDccSuylPHifp7m4P9/V4FwuK0ohyIvChYb72YGleSjdwdf4wPBCUA5c3/f+Uvjq+7yR4L2eCl5vvHujaJ4TD9E6a2fOh7PP+N+FiMCcOQnlvqtXmj4n3kvLW5J97FljY6J8yxionpykEFQ0hCa1gemCJjucF1jGwOVsklGHF6Oa3ilZa0Pso9d7brKH5PczI1JzkdpxT/g1O6xbhgf21tX4BsgAl8iK1O3U/kVSMLwDJwR6ppRpjAnGbtCwoooYPcO2PWu94daqwctADrLCUdC9bGqQruuDng2XyyMCGmr3eVH+GkYSpPU5eTGEGPl9+W5WJ6VENGuzKGzvHRWVGOZbVmVECKHmMaWzySFf5DP8fjjIoAl5MV3Tczl4KOLsmJBrzagS/3lRsFupwJVLuC2GfJr7dGjd8gc/5mZnDPjneU7t7EzwTfLBTnU6YTrnm3hD064NQMpKOO6DIUcbfo8z5DdZ3qMZlB3rZVFZKO8Ty78POND6vT/dDQHQx7Uxj5M4PRqAUIUYpxrih/uwbc9orWJZFpeD6QIVvLZ9dHPWW6XEnEel+esAQOhWZxiIKrO9Y5KMotHxlnICGAW4XBc9S6RETN2rpWvkiNgj9kq6feL7xZ65vInlmx6JFOOwpwnVsUPKLpHhPcpwKZ0C0Jm8XFaXex1U3oQQtKxIgOlMsTOiQsaBZb5VWGjoPbAh7J2Q7tzwTMNu3JrYP9HkF/DdO9+/m/N/vt77zsr780acEjEiCAlnxylrsRBPlb1gWYls8vPbRme39Ot74Ff74pHNEJzBE9FacF7UEw/xFO2UzxlsyjyWAu9Ub9GJRyZlhua0zgubvDqSd0QKlMG8fK6hkhVEUSASUylH3VwzrfnoheoDLNf/ZHYXpW2eqb5NmHQII56OQU5AbUjNEp5zXkloBasP2XsfFJcQyHM0JKk3Enii4NrCbMQclhoC1zsJbmO12gheJIssGMGSLHQpr9DqmIRNwjLCLFIA7ACQSKEQAz0/f66lAKRfCBG9FzRlTrTE7WW54nJ51O+nmMi4aRU9BC0sr4IGlP9ZGZZL1zFGUIFnSJ1OabUSnPfh4RWxwFWrSZhyYiEN9NaoNtelKSNa5tzbNidmuzUt/Z8FxRz57L1r/u5s1HmSIFuTGOYfjWrVfv6Nz/HJVz7BsjIddmkKJ5F7tQbK3WicLH4iIF9SGNQzxnDbj7LxIePz1XybPdTjV4M6dHoTw++oHCOO3laLGgzdAEC5scDo6U8poew79r3odwzaal7uVisCE1kp9CpFu6b3lvrnd1FCKVESeC/oOLiDW/s7LSUyusexOzUWpsNXFcbelWzDj3vMCX2X88f1Z7qWT6nwfRBSrsN9Y8BQjkHec44oMbB7J3bWECOgBzzJnX3fcL+9Q0zEwk3rQqBqo6Owlp0jmYRIIMI3+qycsXY2LqhbVVkqZ+ro7BQSNsqB7ylxlDnq+RNCRQirRl5ntmVhD7c+ZPrMHkanRXQGhH7ZZJ03HmeIFyns4tg4lyW9W5qNzt30c5hvZyCpjOoGC5Wohj9bD1GJ6XHKXhFi+eAcpt/MTY2nKXqrpIJO1ofp7JqdDkdZMkP/bD3TGm0Hg9PPgTju/Bnq39/u+2AURB9FA7HIlq2obK675VDT9YjZU8qoSG3Hl5zCAAb9g+QxnbdUC9yckADUwb60K5bLYlwj4sRzEbe8UHSwlqqfExkotc3lGcOki6k+7OeKXzenDsuqGEinqkYWRIGGES2mRqtAjhVuzDn9/NwpL6hlVyRaVIMuqLwrhSC6xJOhzJqnYywltOga5Jgse1HYryDVwvy93gej0A4ffu2EZdXrXHMesuyLszP/4GRmRJP9bVwAcxscbad6ltz/KI/mFmLgahqFU98krQO2/9jBStdmRCTr6AtX3ah7AYJz1nwXxvD72gcQBCXEmBHU2+u9EBaJ8wLENl2yg0m8DtmEvfw8hP6d56a3rgq0eLM9/TyUFCOQV7UFxVQPg8Z9DwF24ExK08AAFdRvz0KXqa0ZngtAvWTpktR75+EjzXn7NLmc7ykb+vJwRc4Z+76jlI2hWFxLj3MOCdNedQPkvPLYuagoGjCxN9ZaEKvU5Azaf/Eq1lIV4osusGEbi5jsWWj8TdlA74fN6BWkwrmZfTK4aByOpU0oWk0RzcFg7jbnLxlC+35niG5haEvQZ7LJNWNcjM5SiAH48nAdDkapSSTfFgiWeARrONbW6x0DXEzmSv6ex2o+nA+PNRmZs0Iu15Xo5/NbYq988wMEqa2hIhSghWPCtxqOgwIXIKyj3vOq7/1WaG5+RGD7NeTJG+amZFDV9vl46XMBHmNkR4+tc78+fB1FIgJopATzWvRKd5wcQL13rocZgJPDzxPpxBCIaILnPkWugzgpg+pRV+loebwydvzG0A9/77lsRXd7831eXMAMSzGMxQgEgNDfDwXyEQGaI5waQsN+02t7Aypi5zwmydtsnMvUWmVnmjOKYkJsZgxSrj0TP4UAqx3cVc731tB6pVrWyVjYSc7a+eD7q6kYfGYAQOsVcPBtMiYJ/kffbzBG746cT7zvTVI+ClqMyAuxdEseFeHxjqgZk3c6uqqMnjkY5Bz3Y3+Q+YrGAICO6HL853mUn8L0WXc7Q5fLoiykPnrWp3Vb9zq++JE1He8pkiJnwPv2kzTJhaQc8JPv9X40Pn0fHBxx+F4kBVnObnrfXZajkspIy3qZBgg0X3mEz4pSrtUMuPwJ/dFV5opO6cdFWisVIVAJNdmfpRTVz8hQlLO+ou6B80qTRW6L5S/qdTm3ku7R2DhNgwNUoKCattFcRE70jFlf4GPLO8HFoKU9QbKwOLQM4NIxAhnkI/EjO7cc1wZPNZUySVE5WXqnlA46o6gPOS0o1WCcjYg5yObIY0pSrQ0hVmQmi/RnhTyTzm8EMBElzo45WQfzeSPXjTEO69J//kBeJMSXLhXFtzPn5vEzL76l/dLPghBK4gDYbjuuUn5RJsBfW1Ne+IxhG2ZZMx5eP+DtNz/XPfpddeY7tC8OowUdkm36myblxHPcCWRnbKnQRY3agWiLSLDrA3nDFGkMMRD8tjY9RKN6Kxti6oK+5L4F1DIqMHJtxKDRupzTkAzulcjgjAT5fTY0pAh4ChQ18IIBgKs3ybUdHc57HNuInhMWgAXimL8J33+I4lYRQkJA1DzHzoohGSBWl1L6GqPD7IfAdXWIzrqxAlu2gsxJ2Qp9kTGPZBzX0vjZx81Z3SYr+4b79qwGpcDHaEOageznZlkuWNcHkCdstxxdt1FbKxDmRnm+WosamsK2iE4132LMBJWNLueoU36TCK1SNuR90dyC3vvh0AILe6qFuuP+dHdU34EFPfRZXjqgZ8E2G33+cJuv8ZLBKa33jtu7G1JKeP3l18hLxt6tPp49O1O5F/PyzooBKR8+6tY1ovMxEgNpO1OyRANluXbm6YR7/fyyYhydR1TQTYGOfv7dPUKkftRaqbRFMC+/N/hCN5hWgBSvDxpp9Mzbfk2FGJB6QJtClLpWBdbt80MnQ1M+PzuXBmcHH2oxWfTfl8vw4+Plw2DAyOvRGHpb9cZgGOS5ksHxPWutR2ckXzumiNBH42ZubVJcjeRB0k0E9m8kSCFlVmIlmSgiOecd5bJDFdeORvIriuJc3f2rRgAobYWMP1+fOMCRcXAfUpSi7LszXqkWJX2Gz+RADs8YEuJic0lOjsZycY7GjwrgS3mOss69vDSHrEQaxrH3+eJmaNrf/ho0tCKrRkNUlLOUkyFA3DoIKQK18bOx47FWlP2oQH4szZ9BrZGBZI4fDEbi4azgJogOACMRkMoWWqfzThI9BLqXjmfi8Nlp7Ujz6QQxJ8vVdY6N6lBIZSvYb7tBqmU/TzlyAEXXezRnoj4/G1GJ0xLSlrDfhVsicBUFHwk2J7ZcR6JR8ve8XgVNGGPkmq8Y+qCyWM6oaVzlHNCxiQFdZFMUScSQUWZhR+9DfWlPiBaz1V4OoFzV1qDcFyFgiBBadJw5AYqVOqHRFaKmHZRLboRwsx7VuV+ttoF8yRucct74s9Mb1H7sdH2/0FprCBOvAOmmBi+edQEikUpoqEPVB9/mZ3pJV/T69eEarMvHGNACRTfbtVLuZreUPUxjRBemnHuJxl5fXfH89lmjm9+L9kEwWtpUWfHQEunwRBaaJ6iGzljz0j7XNJIZosBIzcCja4wLI6WIAsubOuZKASIYwIrGzDYVQkAPATFhUJhkk3pYrV7bL0z+vDCehUAKTmLoKADK8+t9gCj4hTh7J6qDFYQUie03RqLF59qkvv/UXcGo2/PHmCjxCBQNnA0Yqr0ZjbpfFAKOwojhHKOrodftDnNhYJ0zjZbavUohQ7O10UOmBwrk0CLhsmR6bipUTooQOglFHfsQBgPVXqsoZdOcpdYbGZpsUMbIbLdpwcLeRn32XnktU4SToGW0RvfbhntOmiwfAnB9dUUFsd9t91295IOsaF0Vozmq6duQ41zFYxiG6MDc3mdo+j32/PYZMUe8/vQ1lnXBvu0ITFJCJR9IaSw7EW10JuB433UP9/lII53iMQb4IADLA3k/GCzFz+vR8HzPPUI45rzqmj7/jjiw9ttu0dcY6GwIAJxxNJC5eCUwRahvsHcNgOqcCjLDG1G8NkfSg65ROQBcF9f6bkb6yXM7A2Q4F3A8TKV5Jbc5h9pgcDi5FFM8OOgAQcWYHNN7T8at5uw7aKGXpTLvgRU8YdLuncqH9N5xvz+j94reghGH1AKPBMopIEZxeO1KLNJ7R05UP+16fcVGnhVPl++bzUoOx1Islz1FIS7pmiMqChjJ+cQ5pEHLSpE85u/0itCF5bxzMXcmK8oJ+30HLosjzzElcR4rUWRt/ci8eqNB1s90Xou8ZkdHCEFt/8N6c+tFo+5uvQ3slOy0kRxOgU/CrX3vZKkn0YqPoZ0psmfNxoJDaIiD40au9ZLiPDiIJp0MgEmS6Yz7TvBl7xA058v7nX7bbcP9ifZTbO68baNRIWsvOfbtIaLl8xnd6z61RsoXcRcBANvzhpQjkWay8943RY648VLHmdMBDd3HjtAuenTQtT4amhHIFomrtQLJOxLMSJ1Zc8kwJt12v2/DezMcfui3cya25nViinqWYvnlKWaSmR2olREQyWC5fl7qXhEvR0TDrCt6Uh9MZwyNgztzXcrS4Ph0a+LM8ej7pRG5EJAWcrBILrO/zmwTza/75/F7woilpn3CqV5SD1ze9c8hMYfeO8C5y2Un58f11RXvvvVWhfJ3IxPe1z7Y2IxR2OAkWuU9YnX6/IQpj4HJVLzHizfRiRLtjUHx6NjmpkgiDaLhulnrQmhWo9Enhwt1Nf0+Tq5seFLgzPPu++FzSxuTIOU1qsGWl8wMtueY/8SFt3Xz1WqeZ17oaUkMP8isgGzE+hW4OC5HMSUhexA6A6TZxrKVihpk81L9T7OlzfuTUkJYMhGIyIJzhviQsMxwZRHysjjv9zs2jmh6BVHgEbaBqa8LG5nSFx2PAFUGPOGFsNCmlEmBa7tCZ3cpHcNN1iWRAknR8hUxJr5OZKWj8H0yAKsrd3u6oVUqfaJKZorYb7sqXn4Mx/VvipKHg/vPeAEkhuZ8vTPlbb7X/DOEgPu7Gy7XFevDSpDx1hUeHaLNyUvkF6NAnBwdrQMfa84mZAzFwRQ1l0/aoMy6udH3zyD8em0AGJWAWWmWsR/mFAanJadcsy92yaM1T7t66tPosNGDDQBCN8VEDln1xtqzzGOjvzuD02+BeXxUGZquMxyEJ+3svVZdfdhprw9zEcd5sbpnZqjT83FOIUaDdbhvDEA1pk2V4f2oHKeU2VnWDAbNqI5SNkipKoSmBqI46Pb9rgyzhCSx80LmnuR9RkrEjuz3aWT2bXq+OPRJ+hFC5YjEZBCGMJxveh2xaEV2sWwUdsz0cOF+8cdOkBLzHnl5X1iazCzX5nl+3+t2H7sekbAkPdNLq0zuQoZCXjOwAbWMebJSHqpsk+P0I2mn6x3HM0giKfLZgNFRM6dczOeWfu9s3prpXnA6pRpLbd7fk6PC3Ue+I+kO0j+K/gdszxv220Zrgg0dX+5DLjfvf1/1oDl4ZnR5gGJ8I5OTL0ZLFyNkg6+R25BXI1L04+GZmMkZQqgFr5PqeApihfWwBighlyfe8vtJytrFbqgKkg064YPOr2OSJI8+k3MtBMRg+d3yOf2ucB6UIwGiOWkp2ED9jTTXzELu4cvSdw/Br3s5jKGXZQ3Hs2tek3aEvhxhlPf19ymqOawVWW8dul5SjlrZ4uy6Z+fc+3Syw17lPbLfd5T7jnxZgGa6gawNSOpGBwB2kpaKvCRcX11xe3eDOVdfHIrvqn0QjDYEDJM/jq9n9/JK73QRZ3DSAUAQP8mnOPNiST4T3IbWe8RAylHn3MPsYLtM6yzXVW+RUxz9YlHiHsQhuhRz1MUiTQ7UzLlQcgz13om5z21uMYxFgOk9W1P2w9lbouPIxtK231Hrjhgktytp/UlP5qAKItfnPGzO0oBQ9fWxNEsGUFAZCjzUmeLNA8bs+0XvN2jZCpcz6RCSinkjemKpnBfOzzQ4HVDdtUmBEghsShk5LUhSE653zWnStQKoYr7vG9CbMj1SPlVx90yuXxUpyb1ZGDWqY1T2CiGAWh8uvF5GRVfGcRaQ0kLA4G3StdBG5enM0JwNU79G/PfMI0qfeX57Q1qywnZa6xRdqRx5d7AZN0Wat3muFIon+gOl0W/SpgoO/aGvv3QYnRpNgaCrAuUXRf/se0J/P9xv2jPSGkPhQ8jq4QTIKRPyqOD5/ObZIJL+dOk7M9HRwicDzIxIcuAJfFa7xdFdhe46hVIOs0MTJTJGeJRHCEHX21k5Cr/O0bs692anju+HPe84lHYusRGV6Vli6OiBGArl+kryxSkDfhzrXodSMMtCSk9AJWMwL2j7MVWADE2vmFet7RtYthu8f1d0i/zMKaPxvMfgZDTaMF7imDxt3GchXhPWc4XJT0Zh2TfUSg7QhKjIjVoa9q3g+urK58n4vH4eXzI+zwyR9yl99j3g137x1/DDv+O34Vd/4VcRU8RP/MxP4Ju//A18/o3P8QO//avj3LeOHvugKHaB5PVuBieI/VINHo6Gf4xlnoBzR6n8lD3q0VAd817vigbxOt/7zjRp5viJ6qA7+5zMQXDf8dfQzzrZrflpze5RGJHkz+5WG5ATUo4oJWpJHSun4g1R61NMATGN5eRiilivKxtCVSOAQsoSKkbobWCjOI5CSvQxgtA6I1r+zSRAEUPO8VgrMro5sWuJXipRN/28RFCz1D0l6Gy579hvO5MtnTtZZT5aqVT7MXG1hkjOGinXJP3qpEwOz7JcLnTPCWGk62tCftVamXW4axqFOj52d14xEEQC8907K3Qcx3Gez00AVGrJRY7nZ7fPm94cAo1h7GEYb7nuYBdM8lee3X/2pdZKxcbGplTo8J8e9UdoekstDWlJuDxelPfjO4jg79g+OLKZXR2jMyvdQwU9Yc/4oTFs3DsV0SYSi/NSDQAGUp3Oh0MIARFNjdau0U2+VSbSnubyCwGcMmkarDcORqsILCXK4T4HVShN6dvv2wCJIIEU4SmYx2LBo/FATINEUR9AEKaUMtb1ilIiGUu18s+CbctY8krMrcwENl9Xxty/Tl4sx8jHAkK9L86Jq6y0jcqPkCfPwcsYJlBrHSKLgsv3G6QJlLN3ji6uWhhZrkdCeOH1tg4KkxiXoRGV//3+hPvtHTBF0XNe1JiNMeLCfendIvAKN0sJiaPE8hqQkVJQ50hrFQ0V242U5Lwk7PeXjTGF2EG8wOc79yCwOWJ4ppz5z3pF2wSwuw6/XmvF89tnvP70FeU88zhXJsVozSI0L7Wu633sM/3+4te+b1sUGFa0WTvKpDA4sKTpPInBN9UQFNICczh1hDSNo8y9nIjcaqsQluvRaBqLfHtZMzsjvMyWw17hga5P2rc5+uqiTgPMFV0P8XE83HqRfmBUVv3YkTLb1ZD14/2+nzq+vQ97h+CPnHbh7uHvl1JCC40ZIE15HPaEoDjgyJ+copyXhAJgiYHYv1vBslxHRTTGwQCUcVfHU5N6yolqDu8FZd80wgkQ+2PPC6M1JAInbLdVZabczz+HPG/kBUdO3Ah0SZ8YGb/JuAX2QgybsYvBsSICGqWppXJZngSxfTs7J7yMErn7krGgusLkfBs+N6X9vvnal/CP/2N/BP/Y/+yP44d/xw/jJ/8TP4m/7z/3n8Kf/Rf/TSgbbZDITUdoDfXk2tt9RyqUB6ZykhlM3ycbP4bmZYTPO5Yaj5EJyFoVxZSjgayveUV43v/zPn/JiXCm1M/n3fv6f/Y7AGdoBrS9YrttisIyOScw8Yxw34ls0o2J72OrbFgnMgYtL9tkZuJ80ZiC5s/VvUBKgCR2YFl5EjYQ3VnSWge45rhWWeD+zCSJo7Er0cjo9hV0DCioQS+QMWLcGTOCTKDjIQS0jY3FQqkC+76rjtq6BC+oSkRIUVNzkEheSu1quZegOGTO7PtJx1X6POg1MKeRP4/EWAqdEUWsr6eUBog3UnAlYo5rMpzM+zzOZ0vxpfXpy+mhkaM4LVw1QgI4J82vqfn6Z7LR93O7bbg8XojZ2F+vMZqzWbUENJLfFKijeqb3p/uL9/j1tA+KbAIUDi571cPXGxam5zrPgzMOPR56NuR6gEYmfcTEKzVCWX5QxJ1ypC2OXvG0ZITW1GsVUtQIa17SYQOb4iZed6HTpjwFPs+VjhngcivOAAWAWjpCIPa+oW4UH36tNS1wK7kQUgutY6ynJsaZ5CeiE6FEq1Q+JGcqfJsiwWATE0b4ORGlpgFHI+49hkeIpGygc1QikHEqjJi9d0pQblwrUwwsZ3B6BTFFqo1pEUag98bGIeem7WRQ0/OZwk4saBQJePfuM4UY++ek+laOmINLyeS8qoHr12DrFWi8vlpDCyQYYmAv/mRs5HVBjHdUNRyCCj8/ZgAcnFAgN+aF9NC0ufl5EDiekpy8kCcIP8689/Y7kRldXz9gvSzuo8LYPEarXQdoPTrFf1hH/cOE0W/2diZrD8x0LLhlTNSRxBbhDLehtwK/3Z0Hmr2fMSiCgkjOGHoeu5E1xcCOtVFWSYualeAdBCO8cchD7OPzyDVjjJpb3buTrzEwtbrzmvfxXpLDSf1xio/L+5b35vGRcZax8u+rIjQZhOpwmZhoRdELMWo9udkI9/Mi14sxoMLnR9LzeRitIit4LFJOiC2itB0pZqzLRWWhONmkXBKdl74m5/OhzqWkHUgaAEDM4rkVpEilSCR9oPNZIHWwxdFke9WQLpKbvW13x9otde0SEIBWC3rnsxZisLFc3jrysiJFm//780YpJZ7ApGHKB/OG91gKJQyRs+PcymcAqMzcnu/4Hb/3p/An/43/O378d/0Ynj5/xi/+R7+IVtrQD92H0f09OVYAoDjOBZGTZSuHtfaxNZ2bKaroo3p1L9i3QqkjotM1gVQ6ZIZcUwx9dz25l//bO05FzoTRx2aKcnBR1d4BvKwQizMQMFmy3Xd2jJhzR+4pNQfzkgfnuoyNJ7NMcdSbpP/CD+KNkpRpbGK0nE6RVer8SUxY6R6+7AVLyAA7EaVmvRhfMi8CSxWoN33mqBtIiUAxOEOkuurDc9RGDmhGPAlxplyn7GVaI0ZKSciLhpgzw4UTpy1QHuH9dkNxpe8krUCI1GJwpQMH44+evbu56N2tFU4dUWddMuhs705vdc8JkTVSk1PahLSZ16dfE35d+QjnaBTC/S5rCoBUlEjTGdS7rU2/JybHq87XpIf0TvZV2Qr2+85s4eN6hBjqPsWlU4pBqxkL525KdPND2hePbEqOxwsW9XygqDLlIzon+GudRI5M1gIN/w5kOnxvpbkP3pN97A9dtJPHXRYLe120rEBoQCP2JitV0MyjH4ISZXhvHwA1MJd1YYOxoBepx5kQU+MJFEFu6HGJBJZS0EqjGpq9c9kS7rrbjP65UsqqXJRyZ5hop2s1opFuqSE2ppXOC0Xo+PsCQZ4LCNPPcfyGjcMRFSF+OlP6BvZcgCn9o9agIiX3Cil+7EmYJA8TgOapdiWbSkTi0zuCKlIF99s71LITyQ/SSOoEQAuY94TWN5QSsO8bj+GCnBeNnMbg4NcKTWSFOicSYI1IdTIz8SIG9HL0yNo4m9fybFyH3CaJpE1Czs/R/Lved/L+nX3m/nRHWjIujxcsct0qecNnRhH3KUyKAH6LtT6ChYdxcpM7K9MilBTmD5ufgVKf22D8TK/nnFAYDiREKyoDmQgnsLIw3f6FRxprMw5Ouj5+3zvyeh9LvvhDTNafOKxkTQIj0YQ+I3tYCVEqZ0Cjv+O5ISjX6n0yDB0a5qwkjcrfFgYH2zz+/vt1L4e9eDxnRmOFtjHv4xiR8oIVnWrvNa45XAuIcdFHlneNUiozewhOwaWyTiEE5LQoDE2en2QgnRcpLXa+OfkiKBZZZ6LciQNOckNHQ50cGlKWgD4X0VBRyg4h7yBFmc5AT55iR3c/jPXo2B2dA5If6z8LwKKm/Pf9+Y7f+/t/N+57wQ//5A/jL/zpv4D/8n/tH8Rf/PP/Lr719c/wtR/72nDd3gVmxw6R7ueO7rPfCT6bFyKGA6BM7S8ZNt/vTWVPDEA1+KKc9XVn6KkjW5Txkn1iTiO6puSqzfPsdYez8bQzc/y+OL2Gz4pXLYhuYBUN5rkt204l6F5C8XSKhF0fL7g93Yf59vISMENa0HLKOcLvi9Fp0Fg6Q4Sx1iNdaq1Ui9eh5uQ6KksrORv9GXHqLOP5koiWyXgzcBE4XaGaoR1CUDJL3SculUHkcV4yCgqnpgmLs5VTSikqGSEAZK7N+/T0ltYK14oXvZCCJ1kjmtk5A0V/OtQSdb97vYqcCx0pdI3Y8rSeoiV1jbhg2Dy+s2OEHviIMDtr/tw/uy+N8dh/+l3uF4b5CK4mt1xf7nGmi2/PG9brqmXR5n4aIaSlM4qz4PrqSgiA9ykR30X7wJxNM1Zsso9eS8CETsBx48vPYfHIxux92IxRsNGyKEDeIshEeyPpBdiuLiZmqe2donI7R+KCuxZC8IhMNnCtrypoJi+gsAHWWrU8C2CwhtY6OhuEcGOiPyGESwbJlffp+8wCyJ4gahc15ERpqa0wpM3j4ckLTf0ZCY7mNhs5fi5pMaYRPlcbFYkvJnSEJTFx7hFArK+Uf5CR86LXCyGQl74VLn5c+VmEFZgiATGuODDsxkS5m10UKatD6tdc675vHIXl3M19vyEEIgta1ytiTFg40h0kktGIyKNHgpUIi928lsO0Vnj52GeDHT6effil9pIwGw5wHwGS+8djv1rruD/dkZekCfW1NPWwnjHPnbXeHQvnR9q8B/UswnZQjhs7yFpzyk6wiArIsFA4j5ZWAM7MdyE0AUfqCL7WkWJCbZXmGd0MTZFvcqgOB8/8TF094LaPgjod/DNICyITJ5hsTNHyOnFcq1SmxdAgh+f0tS6lvwxDk2ea2afF6QV3mGs02ZFf+b5Lr3x+pZxfptuZA85/bu6fXF9YuvOSrYQKE5uJIgeIMubYxpXwZ6yDqoazi6CIMVjKZp/jmpIxJCCZjFhSYqWNUBz8ROhoCIgKDzZWzMDXJ4cbeteIgBiVMSSUurPcplp6EkmlPnYtJB6YdOJ0f8i4MZpI7q+eDb/eJqebffZ47Tc/8Aa/9rc/w7/xz/9Z/EP/6D+MZc34U3/i/4pv/NLfxld+5CtDH4JfJzKWU1qOtLoXtEpO6PWyHN7/GFsI5FwUGGRakqYA3J/ukHI083d651IySfJ+gyMcg5XemA2jF8+X76KfsOvC/X3mCBM0mTD+i9NMCHXI8SLOrq7PLWVTAKhe12sjAja3Zkhpb4ZG4SjlIG97RyvM8r8uxv/B8rrye2lJZLxr6lXnHH1GlJ2kbMSckDr0TJZhFTj0OB+uzNRh3MdXyFCm0loyfwIPBnOh0HfIUR8zGZq9MUtsDNjrhn3fTcfmuwoZI3pHixEpkUNV6oh6R6XOu8vxF4Osd2g9cDFQW6Pce4mGioyJzPh77uA4ypszQkD56fU+ujjUGPTnmLePvAwbfrIM8j/peQOEL4DO5onvQYzPbk5Q0kXoXjtXSvDRTTLexzMtcqS71qpEQXnNuDxciJn2A9oXNzbZiNN6mNUODJl4++jodfAL+dTw1AEAAFLuZeGJMjDUHpoUAYPZsvKijGnWdb137aiMUxZjzFv24zPwczhCImHXEriBfy6JcDafkyUChyEKALPkCpxBnqUT9h2wqCZdo7nnGGsIkWISHbQyKaQWsE1d9g0ARfC0Lg9MOIsS55/bj6PAscTZYM+FAa4sSkhkL3pURsyqRorUx+y9I6WA1gq2/XbA74cQUeqGiNHj5Fkde6ssZJNS99eyozLs7CyiQkocFPYBADF27AxlloLsl8sj1usFafKsiZGeckJoQSFEswzTnD/xVKmy3Kz+13sMtlm4nRmAw9/O0NS1GsU7GNAbKVH3pzvlmK0LQrAISWcnz0CwdQLtHe9/PKQ+piY5Jz7vEr0PNeEGg2Q6MAA2TDCyOM7fA3DqIBPFvFZiItXC9TEAISKGqFFStZx8/2cZ1KhwvdYxVAcfGw5c9qE3O9zl2iF03uvmfZXn9TU75ZljCDhoNDiulzPjZDSMHaPkZJSejacoKv4A9t7x2VEzkGoEYRiPqGx09+rlbVBvNHnLGyvokZwA3A6OyGCRRu48IjNhU1kEMux6kHwmY0MlBm0qWxIDRUuX5YJlWVUWAnAGIKcx6JrA0Bd9Dzam6tjjvnqHZwhhiD7IuSP5XSEEBB4zL0N0rBuG+piNDRpKw/FjZA4WbdH2AGCOOSlhcH+648/8b/4MXn36Cn/6j/9p3O9PWNcrfvvf9aNufzk5xf2TPUpG6NEwrrWjF9IJlsvCkNxVI50fW5PoB0DjlVJSdNnz50+UKuMg0/Q5joQQYwatb4b2K2xRDM5J55v1wbNz8CWd0cquWATM62F+n8lZWLZ9YNL3fVAHU6nYtx0xR6yXhVObjo5rWeMxJuWpEH4LcsiMyrwYAAAIltpoTaU8ssDS9wrJZpd2VCTIkCIxzHIQddQLRl3g4PQJFM20MinCteHPB47I+oCNi6xJ1FHRGLx3Qm9YLxfVLWsV1APJkX2/gyD8lDpQ2XklkXNBabTWcMEFkSs7SOmuQc/3JZGm83JwNLSGuGSIw9c+IzoSP8NuaWrz+UFfCEcHlTfs5DVnZMq4zp/z1/CfA6DBqe7syVY7WhCEDBn5EpUPYdQn9P6tazS0lB37fcNyXUje7ZwqVckYl/O7hY4YAbA9U/aK5UK5m/7c/CLtgwiCDN5jUUZ5D7CQvL4mC2LCRdt3JkNnUmbm+7fWjpEgtyBl85XdvPPeYAVYqZKJc5MDmCAB4LzrUChtZI8fWufSJORJKXsh4aQ1OklJqXuB5UGad7sUZ5gx+cP/l7x/j9mt2+7CsN+Yc631vO/e33d8wRfAt2PMcWMTg2MRIZQCQqJRoqiq0pKqoWlCWqEiVVXV/tVUovmj6R+tVKSoF7UljdrQSEkDIW1ScHBJGkKJ46KYEuBwMeESbIPtg4/P+b79vs9ac87RP8ZljjnXevc537ct4bOZ0tZ+3udZ13kZc1x+4zdKKz6RxFOuuVoardOn1+e0V++GJgAsywJaNtRWtF6bQHTXVSEvniidfNnGnKl+XTPMAlkARVjIPARS90wKD2+ej2OU/imtWBbL3ezPXMqB49hR66G5QwmtlbMA0H6otUj0tpaBXEOetcFWax6iv530xwzN1rowNviYlZFxAdkaWiu43R6x3raeK8EBspcSmkapbL7PQit6X4Ez89tVG7xfCgUHRqXtpXNPXroAnQGUCGNdkJcxEf/Kc8dBWZDfVfnL4/3etzZsEGzwxzZsXP7zxIozw+1i/bHBwAyKtOfypOTkCvF3bq0zvoKQ8qKJ/vCIotXStPNzBmoNJDTB0PTNnhHkkxij8+beDUiVGTYXqEd9Z2dLVAqGj8FpYrL2bUqD3HfyIgeDNjKKiyNsdofTpTKabJ8BRvjaBdRKxlDhhPPYZincnQCwGlt5ibleFbUuSKkBUGeYwmhN3tm+kJfVP6fUnOSHmYX8TR11xj5u0ZbZCRffc+yKNJTDEQPXYLwlOAI7u3HhEiKtRQ3PDTmvvn9Z64pT7eUOrDUGp9EJ3TtxdI65QW7np2ndhP8fPnzEw+sHAMAHX/f6FBEV+WnXGJ91cFoknD5b3lqt1eFoN73X+9aO/fD6iSmRG0L3p7vwc2CcT3MfizNNUlkQ9gsjIAEaENJvXhrPeE3735Rpu288MuqOp3PVSVWOgnKcmaSN2MjYOM0ZUY8qpefWUKJO5WspRdbHJuebfpeWTpIU87ctoGH9CiQPSKS8+XPYefEdOhmXyJ2iEPXT/AaC82QcV7m3SOPlotqDyeB4ndhcttTm7NfmPLX3IoKw8zdJ5Sq76GjH0VDK3dFsIreS7x+OvjAYITNK6cgfZt1vdJ+hUEqn56QG/XWyIczpVUs3rpdtHYxYbsKkzY29f46917AGRmcGT/vI25ptKdFZ8ZKjFDxVNjCntbyIGM9LBmB1jnUNzQPuDgLRVe5v7kIUtK1uk0Rnkf0vjg5WUishuzNm2ndp7+yaI8JFbtxZUQWAE7Nm6obLrBDHvhs9YXA2NPmbBgXv5BXXqGJCGpKwo0IkScRQBr2e3N3vGQ1Y9BP1nUjZygCg3WVyVvVa1VIdyx8VABNmAMBoOA4jg1DoAIR0x9/dlYjOFMnok9cTq/Vcuy6lhCVtyGnBUWLhXSFHYjO+g6eSWa/fDEveIb3LEll54V6VqCAwTwK3Na8xFY1U5oTkG9kzLE9JlCeLeC7u7bJ3tXqadm3D/sexEsWub4wiSKvCm9fJaFcF3uqVquZeg0e/toL9/qxj2D3c0WsvdfwkjyE+i7PH6TiSCkwvGv5VNJ8HZnQE+MO8aYuvZ9T4XbGb1hq3psnjGdvDbVDQTwpqGg1lu4XdezAq3rMW+7ccZRTsPCouhJc98S1ugjXKNXIq9sFBhx7BYXXgcevwLJlL5sxjUCWA0JWwK8UtrG2GbmR2bXRY7eAJN0XOlKWQb0R6LGmNTTutDX2k0NvJCz+3mDIRv5uhsHO/xt+G/J6g3MX1ODACs3mEta/ZnEcSuYwK2DwuNDknY5fbcTlntNTZvuXaCcvygEQZ1eWe1thELHxewbhJ/eBa9F3k2iYjR/ZPHQdidZz12n7ybKYYGlO7GdxSPB1cEb1HkV1TjN+u0AGW+tCQ0tjH1h+tGmGSlfvS+T+Vx5GbUbhmv9bc9y5vaNQlTi3oG7Gl6Rlt0ESGp+60aE38laZjQNAgO4Db4+0rKphf642y5vBuK8p+4LjLPjukzag8GcZdU4u6cX92LET97SQLJn0v5gvOa23WG2dElh3X61p3J7+dkxMhNTHiBpIVlrmYkSX38H6o8VT8WpQYXEcHVisNtIZSHvoeeclAUeLIRCrru3Fk/ZVycjhoRBXM5S76u017OgBK8hy9H3vUE+hG8Cyz5MczYiT2uTVDczRFc1Air91+lIr7myc83z+W+4McoSGlWzIUDhn0xKr13llLTjUJxDCjJjF6IttxH8OR6d/RlvH5k+1bSfYlEiJQM1QNpbDetmG/yWvG/c0d67aAEgkz60CEKm93tRfNxv/820vOleG4No4DqbMapXqUk1sbdBBL6xiug4bjOHDskuagSmLvQ7MvQsqIOR/KIQ62v6vG5ljWJEkofUran5XheXOY872ioWkvbgbJVZsLjJ8G7iWlG8GYDYvLFYkQMu95jXBCIWGgXZwNdzR+xbCxCKdF68SQkbxCp5QOuZnyTEUikpRdMZN+GnNrZmV2EPYwRSqcs6zOYGZGn8OQaOyXKIwj21YrFYiwShqPMcZGe0YTlp77QUH4ZvFU1aOiHDv249nrcdr9l2VBIqH9N0El797QQp/nAEEjVVRqlUiuGZWSl9A0WpMdOjsYxFYKBX1DigyP8nfBvj/pmK9YVqj3R9ls6fB3GMudjM4N6LvHOefzZ5rD0fhgFgXqkzSfu5OBCoigLkfBruyRD5t663VNWLTD5vVViSBf68HQeJ/aLHss4nc1TqwDPedURDll8s0MisHZlsextt9qre5o8DwgGFEAgMT+nXh7B81OjKbw3JY/SWpgttprbMopGh1cskZ0eoFvc/Axq2EHGt5L1n2HEbfanIjnpQ12gB4x921QUQfGvGvnDlEvbVY6ADQaE7NhYQbnPHbSJ/rcE1N4PG40hkbjkqfr+ZoPEdklr7DyJUQElP7buiZg2ZDr4SzjZnRaHxqMVmoNJyeIY666b1jue9Z8/ebGaSQTMqVZzq/9vdCQ0gZCT0OwPpTaozTIzZQqWkuOBvG+9OlnxmqXRVwbSMuQcXBWNnPyWv8Hx9o8f1wpSjgd58cbKiCcM6kEPmfA3ZmCMIdtvQFdLxCyv6/OUfg110xhJ/KI3v15RyztFPv/StEfHA66F/oyMoQMzo61Qa8JiKGoY50fdwpq8DmfkYhEHyvN9zYiAuu4+xr2iI86hEvFAbiTvWlkiaGO4ip6RH0SeKi1lAicxnrsKRGg8tRzkQMDqq/LQLzETQxXm5dJEXQWFdQTT31nMvDaGT3KsHal/waDlplPRryNS7ptKEevnJDUIf300cd48/Sly9Ql2y9ct6Ws+9aZBFP6NClxUgJKRdokSAHuTs95j3YdP8wRK6fo+0N4j6boRIBlzHTt5yXj4fWDX3+9MVq7uyHPPMokm0OY7CB7ppN5MqNnpvl/crQZYgQAsZTmsj16brODpzXJt1417/wlXU3GnIQkKo2ljd6lfeqzORBH9ETdnvR7+TJR6KsXeVYG0ks9oG0+R2/WDRvbSS53lPD86rUyw7D65Ikeo6sanwKJWLalC1bNwRKhKkKqFokYyWbdS4Ck1Hou6WRoyueK/V6wKMxgyeugPPXnZ39Hg96KYK+4EsqxQLhRmCcVhskNZvGSJU5iNCYCtS607BjvCxvPoCzMihxXEaqRHtyU5/ubJ+xah9MgvvJ70r8LJG+hEze1Rgq3vYfjSUvBJGVfzArX0IXZoB57eNRXrif3NRZaeeDW8970bxP0LNY/WhNIiL1zbsrHpgQS6aqOK42C2uZL7JP4eV4X86YcW3SQ2H1ic8NXLna5Lo69IN8PbA8jAYYpEL0/+vlyTHju9ziyCYyyAehGlXzu350ig8DUp+MmMx9n94rnuYOJBTZEXJENwdAR42NTOdgavB6aLWBLGQB03MK7+XyLm1tc40kVJ+ZBAQUHSBX6eb0DLzyotncEJQ9hPhuN/EArH6NVpvDOxqspw0N04byGOsoCbhxfMlimXtw9jiXlJLXc1IAnTqBWMayLcN+cF8n7VQRK465c2XFGALQsGyxdoIV7uiGwrIMTDNxG43JZUTVfCjA5kAeD0/6W+60wZI0MF+ux17k6rGksFt2sVaMwVWq0Wf46h3liMkOmps7rsI94i8bjhSE5wP3n3yP6o/EA2wVsTkp5ragByn+GHmghR6/vfxlZ88iE4fF9bClngc4mcaKWXSJ647pRtE5wosTfh/2rsZfXcWM/HGffzy3m0vp3RAL/CFNldm4Y8Y2NWUcJjISCecng49rQSpqjWg7VDR9GSL/oEYG8kKVc2ro+nPQlq9Wub9z7xpxakJSmBYvvH7N8A/VIE5uxafdRUsahjwAtucfDWDgcc+67FnTqJPJ0cCSEMU0hSNGaOTb1u5xQ9qLBg8N1Odm3sub/rjomUdfRuuetgSmOXZ7mUfMyMGnJQyCIub9P3KviXhtzyE2XBxSthEVlFrsD3upTPn/8jGVbsN5WJ8+xPgBGo97auH/YXtafU/oa3aEaznPk0YUuLy9ihnR15yV7GkVwBOWE1JSNl9nLoKy3dUDxzHNnfJZ2acx+0vbpjU20IQ/DSIJiIrH/Fp9/UrLicWNSb1AyfGMcvS7WUfN1vANVMb5SMgR+qQVqLyiJI3V+VLaJyA1NWeiTVyOLkC77gVLukm+pRiCYvYB0Tha9ZFAQxETr+CCT8inPXsKDws+ZnzOeI4uow3hbY3kPywWAkWFkv689V/QI94gdhoLn1reGgW8BkpI83C/zouwH7vcnz3ngJv8vy+rJ5JZYb2VRRDkj1Fax78/Y9yfktIDRFKLcC5pbE+NzwZK7x902B1+MlNzwTGkRgYgM5kD1TBZN7g4JyeV8BvAAugkM59gPrJsIUizAEnJA3DGgwjEaJG8zIK8240HZfcHQjIQudrwSlw7KuitgreH+dBfmsVcPsoSYz88QBH+MckYD431rL43RuEEAUciLIfeyIhWvffXZ/3ZR1iMukquj8DJmj2r68QQfp7L3PCFwj9qBGSfCi6B4x3eMtSQBdSAhucHZoUroLKTTHsD+YOO7vqRkAupxxrROTin6buUP589OQlt3QHfuXbF8Ayb7r9YdYKy3bswGRcefMydwhLAl8pSRnFcwG8lHlsjIkgcyOMK1c5FDWQF5/uznRFbzwTmhzRQ/O0ZyLsdoc2sNWaHDzAeMydZkr8jBXgdvIIxgzQ1CcsXVFO04p4b30pzI+KwcfWE+ry7Whb2rMw+H8bbPF9C1MRouqSqDXlB56M/YP6Kcyjw67jvuT3e8jy3lbmhaNKRNDuVhr/F1cL2PzQYOAN2LeCBbBEKebtQLNe8OCGMxrfH4eY6+yv3aQNQYrzk/77IuOO67M9a21kC76H3ruuJeO/xzQIvEeTnVPLZ+qEftLMzmaFt6fUqooWvyMy95gKdH55y9txnvs87Aiigzh49VbYhjFt87BWZd2BiH/EigDH1mjja5lwZOKuPYj77fcHWnVWIJuGzbYxifpA6rc365I88G5x/5npT8eB33JeRrJnsH2XlalWh6oq6T2jyQ+3VGbWZxJBmCaX+6S/SWGdvDhu1hw/F8gDMri3x/rnkuxbEQVMR1CsnsoIjfDxUywrEmY40B3AzDl5ogBA8cz4cY/Wt+kR3amj1PKfUchf2E7dMbm7ormGIRn9UecPCozEpVGhdoyvNx1rEBxjpBw/BCB73tmYlG5lgr0TEcNylKNtgAeW6jPWskWGCWUP39zR2lFDc03UgBg0xoooFYoooJGR3uWfyaUiszFtoOEAaKUAMxZt2LhG50jRtCcsUxTX3Jmtge370coWbS0nNuiCD09okGD48XFg4Mt9SiUGTszzv2/Wnc9FVbs2c0T2GPkis7IzeU4477/Q1qOUBbcCQgeRTD+tCivFJHM+N2e6XjkbyvTEGShVsBJoAS1vXm42tzoEMBm3vlxOBUAil0ZY8bOyufwQ/iPLmi3X6rZywYlfK+87lw5S+yCl+tPyePmRTSWir25/2Urzw05q8ooN63FnNiZrvMuoDd9xW9qBzSAng4z1qUgdYGB0Ijj7SzQlml7zNQqs/DBMkvI1KkBTc0JSg7ybciDprZaRefG+BzkemLxuKBko39hcg2xd9UnhvjZVcsYv5gz3G2XD8zkIeILJE7PGzNzWgbc6TF+8zwW2Yttt54UEiH51d5hgsnUVS+LYKDzGgBFTJcT0uQzOvb5UNeNEJpBmgFtwpQArlMzM4+XI47ijrQcspegkbK1mQ0J0QTCKDliOaU/Dvo/Q9NZYgw3UUjEYlGorXYGlegEVJiUO5kKh4VzaPRdpJ1HjW+vPhlmQciGiIu8bdaG77wk1/AR1/+eZR6YMkrXn/w9fimb/8mrLf1dC2g5+Za6gege7bqH+u2IK9LrzP5Qt28r/VmhgcgNUXLFNV4SV6dZJnuFQaBP0dpJII2K9HAaDzOyrfda27M3J25wRlkxqvpVfE+zjRN+jwkKB8hEWpeb/JoO/KSsT5sKEVSaxLl7nAlwpIlp62Uu5BmcQ4lUKBoJ9Uj3KdPDs2Oz+woqtokUNCEUdWML4vyISBeMK2rrisAoDQYx8P+TYSob9u6IuqOIMoESqsjAc1oWrYF2OEO9VqaljpRXSmgI2QsqhM7+vsHORrngpf3a+RrMLZ6iOxatlWIOi+azOUwh5gR81WZpZ/yIgcVZR226zIz9vshcvNgHERYbyseXj/g6aMnVGavATzIc3VKxr+vns36yJ7N7Clr83wdDU2WCCeJ7jYTIA33IXFEswYVspY0me8Tm+ydcHK0ed/8pO3djM3pMxGFMiPR0/PV2YVG6GCheTNqcs6dJRCAMcdSgicHD8KHusd9zg1gDoxbkxfBDIWXMNdAILCIEC+buLVhvx+4P901Z5BheYAAnEBDPMiLwFXyMtynMxfKuVbgOyWpR5koD5674dlC7c3YomGZ1+wCxHJPjdXMIMAxh0AMzdShv6rs8d4V2dmgMVgFcRfY+fGG8nygHLsbgnJOcuEm8rVT9fcIhBwHZuzHHZFkKedVoppxHNT4dkgxSwHh4xBv1brdsK4PA4OiKfAx11RqbBpLpOWeAFaEvUcTnpAS4eGDR33eTvsPZk/ktqiv5WrGe8+f48LueTDDacO6Oo0BRQU7XH/Of4rWE4DjfmB/2gfmvLcpF6xeVXueCx3ga74Nxt+FHLNxCHu+Hw90ggu5lv4eNqN5A7nq8+FZ1NucGCASZUg0A1PUoMQNF0pZGO6UkhICcU8HaE0ZVE02inPJUgpeUvLMyWQOGbsegE7IMr1SfG/gOn//HJ3qn+fonRGR2DXn320dZJefvS9egjX7fmDPizG9goi0piBrPU04nDYlVsKMjrIARNEiKzWi+eFdAczD2u9lSxK8ZJQagJQyUJvnOwG9zmkpB1q7i+xTRu8oFxMl1NSZvi2/3Saw1D/esG03ZXPPWJYeFWhckfhKJkVnS48gm9Hv/W37XanueI5jbE7NOB5Rz7j621BVX/47X8ZP/MU/g+/7tb8e3/OD34P7k+QpvfmFj/FnfuzH8O3f+Tl807d/0wDlln0tOAASDekhwsgYDM1fBOXrl2oj6rUkd43edoIddnSBjekwfwMs/VpWjsqzTG8xmvr9SWChzPhK0ZRZ/xgMybAPdye7lmZpAIzFk0gd7cJGakSRZmiK41+J9DaBWtaq+qrJWpbya7fbK6zrgz+boLcI5aPDr5VzktxBjHsKs8jKWuqLG2k/lgF1olmeZOwDebvefA1G407nvfcJkUKQ2aN2ZoTLuVq3UgnWusEu1yyhAoPoLJI/bjnlpMzpQC+fNzoZl/6MCKRIU4DH9FWT27VUTw0bHB9hPrnMibL9xLxLwCF9n5aM7WHD85tnj3CCpGxOaw23xxtur254/vhZTIVowAan5zBwL41piNJHnoN+ah/bWS/0d2kNtUjQox5qG0WSIDZkFIQj5XnB7XFDXpdzzc5p/7P//64bm3FDkElbw2Yxbi70wrOOOZ8yebPmFA5U9HJjPweTkWkT4uTZCYMVlbk2LSZ/tzaeb+fav1orcmDss4WT1wXto+dhEsdnBokCtiyL49atL93DHP4GoFBRidYxL77JmxFjx79kFHSYABy2EcfQxi1lNZ5TQl4A5l5Ifd7cZ1KTzmCaeg3OTCh7EUKTJUtyfm2qyPRry3Nm1HIMEztRFzYihJoamkLWU1GGZ4AtBu4KMYFCHzWpOdoqeBcIodWns5qcKWUn1RDIiChwy7KEZ+3XA3oked935PvisBd7RyurU6321iq/b48bqhEWTONhY+fjOG1Ib5Fbw5yPUCEveTKtGT3YL15LFYr7vZzuwQxR/ifo2ZUB8j61kyKsTixrRDZe3XkVx2gWX7PMnMd8uF9kjDOvfdwkqUOF7O/SypAfYo6l1hqUEcifS1hiQ659khw1Ii0uPpeWgigdpuAMG3rSciMM1Cb598zCvpijZ5pxmoddITgrqVdkHydDI3weFCoaDaK4sRvsCkCP9qM71FLqBqutY2AyTC19xK4TFOS0JKyQHJ9ULCqt8qxJvWF3qFEOBG5J5Uz1HFhwh9cmY+pu3SFkzs1ahN1WogcqIxUC685IoS/2FIUacuJTyk4MlFLCvpsMzur0PLAsK3Jesa6W7nCOOjDDCXROTgH0eZnz6FCIayaO6Tjfx7njdWJB+NLf+TL+yl/6c/jN/9g/ih/5N/8gPv+v/CiOQ9BB3/md34//8n/jn8af/7E/AwD45u/4Zlh0IJa0cIeO/r/dVqQlu6FpToVZSXtfGimb8/60ey1w/80dA7quNB8W0HXZAiJinhNqqNixAAIcshuc5zH3u791rznLqqAsty4DiUie2aJzqnAfRx2cSLG1Vp21Pa8LUild+SaVebUIl4O+0XGMgRdDNNS6YAOANDKikjr/AbjBKQarsrQ2BvIo5yL0NRqU8f3Pa/N8jJBgmTGnlRvyOY+fLHiwZrTSc9WXKhFPqxRhlRHi/MnLim17RM4Zx7GLvpWzkEBqdMfKMcnnZdRfta8N+RJzestRsQDCAvzCPJjfmVlIoyzCZw6nYy/YHjavxxrPa41RnnYQSYTT0GAIBu1sLMZ1QGTy6oxis3Pfxlx7Ot7XCnpKgesi3GWrrTfdc+5Pz3j14SssG43OU9cfdZ41Bicer/8p27uXPkmjYPDvZ41Bm3dQY8CKqlJfaIMBAYFyRqOnH39WdgejUn7oHp80KigWlbl6dr+uR1jVqFrkGctewGsXXkWjfLfHmxRNDQK1hcG2mmh2vUi+YF5uoHv4TYloTRhbj2PHbXtEXpQAAhIdlT6ZogJByfL3bnC2y9HQbUjL0iFpITlZmNfCBgC4IfhSBMaMrNaae4O9ZhIRwL2si0cf9ToebWSDv0p/3e87np6+JIqbRgkS9ciw1W+qWh7AoGH2nTHSuvJo/Vp2LMuG2+0VlmUN79UFll3boSGmmJAZ3wJ/3p8FapNf3UAEz92MUcKyF5T9QFJK+WWT5PRW20B64GOYzGichE3Y1GdHScxPu1orJ4OTR2/csUsB4E+iTL3PBidrhJArjx5+yHqQfmOHzdr/dpwdMxidF8QXV/Jp3uxlzfTcDP9bfy/mFQ/yzY6bPzN3JRvMPc+X2eFfXQZCI6qaQxQJWgB9niQpe4177uYLebwuX6KDRSNTPl9JYbJ8DW+d+8b6Tk8dNu7obBFcX1fO/LpxgC6e1cfKUC3aL7YPNDOiNWKSrEaqtrRkVzSQ0kBYQlSRaXWCCkF/FMkhzwuOKcfyOHaw5uBIrWHZJ/fy7NHLnv6hMrkKo23lUQluw3MQEi1u0FoTGUoADnCrOPCM1h6xbQ/otYnD/qt5U1ZqIjENed7dccmX3X7pdJiMkP7Mek5t+M/+0p/DP/hbfjP+5X/xf44vfOGn/NzWKv7KX/nT+D/83p/Af+t3/XP4iT/75/EN3/r14iAOcEm9kuyViSQHX9ke9/vhdReJ31MmWlhUs4kSjbHfrz5fNWaNLEWdJEDbR2eB+MCSlmpzWUfkTj1+YZ4MsgNnXdD/npR40xHtmvXoeoPDoxM5UQ6zEGlJkfsV9Si435/EsAz3bOpEIiLnlAAAQlJdbUWtBcdxuDHw+JlX2NYbmHtepV+ryd5ca0NaenBgWbOTPHa5hvGdqeeBXgUNfExY5FFCw4JFZEnM0w+ygVlIv2qpgBohlHukMeUC3hbdi4rX1uwGZMa6PqgOVrAsj6LD7WIIEWVHxwDdwWq1epd18eCG15+sYqrWSiAS/TCteeiDK4MbAFoRiKjwrEhd0FWff78fg11SS/WI7v3NHcyM26ubVFRgDnPl2sC3NucLW0mxeV5HOTdfw/6W43pfGBGbVYYwtEd00llgZ3/esT1uHtm2+8q14Xu+tdnx9EnbOxmbRJ1c57xZiCEhCro9cFAOwiQymGFkBqy1KgMaHHJg9ww3Ge+JsMCm5/RjbBFN0Udm7sVaLwRW9BxFfP3xvGueW0P9TMHt9QNeffgK+/Md+/7sSc422E0hTSaIJCfJJqiU5GitqZds9xqS+3EHq3H08PAaOS2oqSBVWZyE1CUndYbaqHzF/vDJHAR/VHINAjps+hdCzTyYrDUjjXmuqVF43Hfs+w4wd9ZbRKgwD8IagHrRA+6fWfKSyhTN1M9mJOa84n5/o+NkDIxd8bKIgUB1ASOHaM3KmVTEGp/i+e95mlZ8vUGVa2ZVLOWYWgsONTi3x00ZMpN4CM2Ab5rXUJoXzRWIrURPy350spdpDneiljj9w7HMmgxvkI7unTIj4jSG6B4rI0YxOHg9Cvi2Dgoi6Rzr40c9V/UdE8h/qbZeZ5pfhJxE40yUCN3IzfsajM65dablvim6wwSTcl3bydAEd0OzHQIprxd5JGCbB+bcmgzQJuVMLI0hp5FQQuBlerwbKP3yifhkPFzNiShvWm1okLVpHBHUDzydMxvokRgnGlYxdxMuVzTCFvvYZSCU7KFfm7kf48op5PQa3is5I6s8ssHMxMk07jmzst2ZYU0uqYxpBbVkCBt3VeK05vlOlrPPQUnoTjVFxeQFlsYR+0dIy5RQzWsfG6N583kh8+uAEBkyjO276vX3+5PuVRW32yt3pHYHhDxdUtnAqRuY455z7QzpkRpxlMYImvWnDScz8KUvfAnf94M/hH/3D/1rg6H57d/2vfipn/4raK3i6enL+IP/6v8G/+R/53+En/qJn8K3fte36DjEfD4gZ0EgpZwCdFZzOpVp/G1kHF/LjYiwP+0oR/Hcavt+3P97BCQafX1Mxtwyc/i/5DQA0tng1BvFtCXba5jZozLzs5lzZVbkB50uJ7Qi7KatdbitP48iHGLKz3E/hGl5XUB3gZP3+ZpP72YoBgpkW4CsS5PZ9zd3YT1dcneCJZHFec1ei5tZHDgppyHC18dj1ONkPMbAwEvBAQBgIuRV9Saa63CGXEdlnU5bckcVkSD7hEhGjMRlWXAczyAibFZSTe+XFTKb8yLOG7qhlOI6X0o9TzMvGettHedOCOJI/ebO1NtakzzPSd7DdM2g/7qeBGggg3B7vOH+LNHL26sb1m1BOZTP4ujjLSRCY5pFSvC999S/gJAzhn1mlHvBgJ4i7G0ymId5Zil/ek5T8tbB8RqOt/z6+5s7Hj98xPKQAXTH6xXT9NDnn7J9amPTNvQr1jb73cD9A8FOEE5ZqYujodmaKNxVBfsMu5D7YPSAywH9GaLSQT2s3jdB26S6V/fqHeRYVbzWPAq8Jqxbb778Bs9vpO5ireIhaa0p9PLmG1LRhOi+eA+fnESLKltSk/M47qjlEJIPJf4xwVvKjvs9YdsesGANwbBORiTMrssAjZoFE3AmkhkUOrYICuukG3Or7NgcoWgaVTOWX6lJuasR1ABYvij5+wMQgy3UXhIhMBYTP7QcgBv8rSHnXvR4WTbkvKCURaOWneHMBDsAp/knEqir0P2Lwfn8LGO0bd1jTykPc8LHIxu5RgU3MxQqSjG4zaIwPRZPsWLtWtg4zFNm3vK8ZGwPNxiDbazjNs/Ll5qty765BAMnCK4BcuNwFHtHUaSKQgd5Ejqn51GUwid5zq+ldllWZD6Gx81BzuPTb2Z0RoPD2qyozJ/l7/49M3zz5NZQFWEB7vkVJzKcqusaXXmAzRVVTFzBtH/o7N2yLU9kLR5ZBTjU3QRG4/oqz93Pp7H/4ibeguE8K6tR6Yyb61XezMmppl5/O2cci+7JHTZZ7S8vZyCD4CgGttq5iZzS3hXPJYM1gmLlTazJmhfZAlgkZAHf3/hvx3EXYpKUnVHavdW1F5sH4HDYBoC1vIpwAFQ3KD2n1hyT0GiSOuSOQwzXmNueqHkKQ1an4BHy6JdllUgD9TyrmfBCxlQdLBgdLLOMGYjsbD2lcc+yNfGFv/238F3f8KvxEz/xn/gpOS/4r/yO34Xf9y/+Huy7POMXvvBT+Ft/7W/h+fljmMPGnWVJaiquD5vMASMMqdFBOsrT963VWiXac/F+NkY+LlOqEYBTDiGAIapp3w/rmC1nlpDX834jx43rye8XSIEGp0qdFHRdk/KMSSJvRxlKGsX3jP/H7/e7sM6v2w3HfgfTyAYtuoVwSaQGN26s34QEsfdBa03YTTeWmo4TEsnzZJnFOKYiEUiqSNt1IKbrZ5LChPA+NI0NkuwLztC6JJACZCKbbe9TKMxcTpYggOQ1t7aiEGEDwPUVSik4jmdIiblNiR4Z2+2GlW9e81H0EbufKSLy3jnkYuqDO+LF/jb+EWaTpQmZOlrH9l1wRyvaux37ITmYDxvMCbHdVoCFfVb2Q2DZFtkDjz4P9+e996k+U2KAqTudY1+z3h/NAjlC5nc1z3z8g5w/rwk+fc9VKg9IvdDWybmVK8VKVR37Hcf9kDSBZCzktr7iLv6LI+reydiMNNXu0U/Xlnv0VlJOmtPWF5zBz4xyGoCHg+PiGDp2WjRnY7d709xjYJ/pGjsdz7dFn/OZha/VKlBD9/BX3J+e8fEXFVK0ZGw5YX8eyYLMcLTrVTUwiRJaLZ4/Yy3nxYe9tQZSA/Q4pM7jmnsyemvjBmHlQOT9FgAJXtkk9TIcc04NkW0WXRmUcHxXzoy9sRswCkEJfeS1uagLeXue0dOWVOGVokPdmyMS735/g1J2GCNibSUYnbXPQxTvU0AULjE8x/loypXV45Rjk0YPMvb9CcfxjNvtFV6/vnmEoDVjVWPNN+iQ3z7PRaE77jtuy4Pnwhrhwku2WD2qQyCWdcH2sILbgqoRkniiMf1eNRNwPRoJrV+oEbpJsRPhlwASGEirYgQXfZ5IMR6bG06kguk9VbyszUrO7FmMyo59/1KfzEZPhLRfGaByD75Q7FjgmMzdMNIlKfkyFf4lZB6UC/bttOTu7EE/FjjDHKUWGvlnMT5Dv2BSKtHzQa88o1Z7cfa6Rxhy7BsizbUPkcv5nhyIa2bP/qComrJXKwZ2Zt0jIikFc49qxxxSqz9m7yGb9jj2KSePkJkSH509+y61ho/8jGXZHKnRWkUzkjg2JWGcK7VWTwewZzXD0f5elk3lUgM3K9sgsqvnY1o0VGp3mrMzKUu63xdN5UtGqQUZfc7u+xOWZQHRo9c9tW5gVidvHIOLKP/saGluHATluHGIcvZzX73+OvzVz/9FfxcAuN1eoRXZY2P7/J/7Ufy6H/pNKEeIGgFYsubkJYHR2dozxfB9l3MAPHoTjTjgwqE26WbW4nq+4s2Ix8zjzcxIlbyeurU2ITVmPo34OeqJjsCYILQGnZZrxnd7e98Qdf324bVAX4/j2dN3hLl50XW4uCPPSRuTOGkoj7wXov8KwU5aeu72sFdoTmFic+gDrWVkRwycmWavmE0tNcfenajXm7RjKiCkN57HLnK197euiWRcLdLWrRuPrTEeymvt7xrGXlIu0pKwbIuX2AGU/8QMtMBaDmhZvTjmYf+MzkZoP/HBSJmx3lYkM7wigWmS2uOskPHtYQMBOJ4PrA8rbq8e/P7muLg9bnhuz2i1z9fZgJePpludo5SzIRl1u1kmvqRXzOvnZHAyA0X1AJyDFswNpR54/vgZD68fJG912rciC/hLeusnaZ/a2LQF9TYmI5tk8llJJQK2Pk7eVllYXF/wqL0k5K8MzZdaq1bYF6dzZi+YXTul5FFNUo9KLbVHXpPWhzyExOf5zbMylgmhQErZDaUY6b2rx9qeYV02ZRVkUQjQn9Gew6KCco3qMF3xoo3lKiK8oTX1bC0rEvckeeQwuU1L1XsmpdtmmFfSL675QSPjreUlkt7fN2rrZ6KTMDThbIvJCCvsPsxNWBW5+XxblhUbPQzXNoIfe2dLMr8ywKOhaf1obGmWe2TXPo4d+/6Mdb1pBDSJwQlS47MXHZZ7NeQswqsWyeXdHjY0VIVpKI10MH5nxRwsBYVrkQ0gZ8nPqAr3AfeI85WyFueNXX9uwyYXBRcAy6U9EaKocteafgwkQVHovo9tfr/Z6TVvKHM/fKW/5+/m9QvAcy/8mJS8bIDJomgU+nPXBsd/oucXUiKkYXPqTpru7InPBJhh2Z9L1gFXHhhF43kdkgkv+yTTfHzf+K7dwMRwTOzvWWkdjbvRGRnPnx0GIuvGMizMusnWjoA5jWGAcQ0PmrTcexUlQkiGVNbUNvRTnFetKUstkcsjq4vMzEKiQXNeDQ8OSm4V5DC07FHQlAjHcfRyAzpuYAaTwW8NBdMkfaOaozC5fJWxFUbuVgH480jU1OaWOE83LOsyGPvcOjxvbqbQmdIYHQpDe4vMe/XhI/76X//p4bvPfOab8PTR82n8fv7n/5Y41rRGHQAsq5Q2sf3LnKXdYB4V9/e1Hbsgc+Y9wj4TwQ3NeV32Y142MmM7KcgQRMESnT8k5SssvWTCNN86AAEAAElEQVRej/Hv6LizAIYZRXIsfNxtbdsjOIt07ogQuXa/jy3343nHTZX0WhekVMVB0xqIpCwKgkHUWhVYtqZU5Zw1EtiNXCJyp+Egf4JjzfTAyOvRKiPlkZ10XmPO7RGNfyJ3Com8geu4rLKhy0UxchtpDmit3pf2LAZDNcTcDTcc+4Faty57lG+DSPYzdsSMRA7psOuYAQk32CklL1W4bIunK9j7XEXbAdFNFy0bMwRWfN6KIyzmKBOR8g807E+SKresQuL28MEj7h8/A6XPk9kIlEvrvULesd2XEkCNfH4PToEIF79YLy/9Nrd6FDHY1xyec7TX9uc7jmdhWU5L8lQBeyfTEb6SvvnVtE9tbHrJDluUibzYtXl3Z4HgEyzZ5tNfYH+Wwqm2SJxRKirDk4Jn152VQL/f7B23hOu3bBp+Hwu1Lz3f0pVAf2dhbq1HUSZBrTNZxGtGWSb3ut5Qyo5SDjw/f4xSJJIpC0QjbBzhsua1Lr74gTEnwJ7zfn+Dh4cPwvNfM3E1VHBRrP0SSnMAQ0K2SVZnVMyTcPJNAy4IrKWcuwe/jZ4773+gE/FoLkM02MRDWEGQfAhRmBZsmz6H0mcvy6rQMYGILcsGY6pdFhFux35HzT2PyfqbtHSAzKfs4yrvpV43JR/qeVA33G6vkPPq/SylCMQQ7jU4R0WytYakxu/Qz9qu+snOL7sI6LRkLEvG7XEDN4lOmdB9yQkTrxOVeCsFdKV0AwhrRgxmUwBjtNQmwFcymt6XNsux+fu+VtJpo3jRsI/XDJDLq3kwfLbr2gKM40BS51CUiK4oyXnQdICEHGLVXBk1eHzteSIZkt4cZmD251I0QjZ2TkZN9VL2ysZt1xrXSexX+bs7b+bNtRWNzF0wDg7z/KIu20vU7XFMbPPXVx6vr06Fl4izRL4kj3IIhAsuE8EsCIZWlOCnuZFmW7E4tMzLX3p0Wq9tuZq1BdQIVG5FYxk0RCyJyKPMvRZzcvRIyprKERhuU8rqJFTCEz2GmcGoyGnVd6iA14oWZbuUhHRkbGkd+jOOiMuWi/E4fxd8B40noz0eM475N33Tt+PnfvpvAxNR1SzzctIi58yKWIry7axrAF33ed9aPaobm2ZcfUXnZXRIozusXzI6Y7uSe7U0h9P2+/RnibI0ZUIt4zXMYXF1filj/WHKCdS6vDY2eZnV6DUcA8qiNVnL67ag7IujyPy6QTcSQ0/LhjAPRuEAE9fnd2M7J1Ag8zKSNNNPjSCIqPe38YmYsRZRUb3qA1yGmh4u8r3P8VOpq5RArQZyNEGj5WVyTGYASXRgIsLjB49AY9zvJh+zEG06OZusIzvf06LUmBwI6kLrqEcjAoI7ZMcyL3AH/rqt3ufRgWAr2tIqiAjH/dB5WJWZn5WlVlCZUoNzB5AGg1NuQBolnGSSAPfGY8M8sP6Iv1/pHlc6xOU+qihTs0Nsb5JHtGBLw/4sOcNWKcEAjIYu+Eo65lfb3sHY7BCjWkYvpHSEbKRm/PTaZiFXRNk0j11q+8WEVGPbBKBEAzEqBlh9TTve/r8UhomGQvX+HJNwmj/PtMuSYydRzQ6/JPeG1toGOEUmRl4zSjnw5s2XB0inHbdtN4eI5GwLcgG3qnkv3evey3L0Jp7kO7btYZhwXWFQHD5lpd0uIFrASWGwZv9cKNFDX05K89jBHZJbJyNIDGhRhpbt5sb7ljZRpAYBbtdW7zwt/g4lUI3ngRTHvP/N55UZszUXbNttUFxj39u1OxS6wfJbof1t7TikZt3t9grLup2MShm/VY1QxceXipYz8kM2Aswu4CdhEzcBFyQqrVqp2JUxLavhSbdVmNTaGWZ7DU/TyzUejUacBR8gm32tvU4pbBO68J5GZeR9bI5ACLmFwAhzaq0hIQ3z4qrkQ9wM4obYLvpP5j2HNRLklimCes2cMirzOb+UoKUvcDLADGLmFw9rPBoBPS+SwJz17xhlM5msxi/Q8xV93WnuDPi0Ob9NDsf+ivWRrb8ope45NuUuSVQAYY/qJB3Xhv/1s4xj0Sys37py1yMkozFi+etmnFqheJNFthfYepJUjay551nhsRZtTGiNMBPw9OdMiGzk5rBMlMAaSVyWDYDmrPu7jmkUlqvp467QW0BKcNFiyp0QqcV6zj3VoPYUh1JRc8aydYixj5Ma4/M8eMmDbgq1w73rGaH08Zc+wq/4Fb9qOO+bv/k78KUvfQGvX38d3rz5sr/ft3zzd3lUc1H2yVaqQo1D9H4ocXSOqr2Prc+jCwPb+kXz9Odj7Y8rp9m8tqLCH48DVJ4qnNbPSeToiEE2tGBY+HXGPcnm3rFfl67JSwIfjKZOG8nJXoAVyqtQPKXAnrPsB7bHDXnNuN+7PMxp6S9I5IGZWgtaEUNWSHGo5xNG2QVz0omRVPaipUnacH8iDBBSUj3MdF1HUQV9dhxf7T9049HGjiyvm0anTErJ98DB6KltGFM0BpaM2+PN11UpxzDW7nwnGrgsLFIqgRFykjfvo8WiunC0pEGbrdZm0lxNkzHd4FzUiB/38Tj3WI8FMNTa5SbVBJZNSI3KIc6AFAzOeJ2hj4M84Rr62WSKTdrQrozK+bpEI29O/N0YtomFEyTtAcETxmF/2nHsh8zJLCRdpu8gj86Hd2lX6Vhf3YlL32jMO+KK6GSkLUs+1UoTeKoYE+ZFiO1E7tB6jspLsv6lMK8LFaLhGFMyXhrMmDcQDc2qkaXoRRIlQrzWrBG54zhwf3oOOZtdSdOXwr7fwZBSHKV0TzZDPMtpLmkCUzo62+q+PwlMQa8f38nfbVLiorJr3yGc48YOpsXzQh/TdKwpF+ttxe3xhodXj54MPhh/qXvGohdevrMCwb0feukSUdzysmqeRGSNFSiyMSUa5b8UKX/Ew8NrzY1aYMy/8d7+Dhj7cT/ueL5/7MQSsRyK1dbKuXsam+YOtNo8yTwvY3Tz5CCZ5+NkHBx3gXTYBrTeVmFMu20uaG3zjWMZvWYwA3K+VzA83FhufT5Zzkg/PJzfXl5LX+uNa8zv6cXfIwmPvXukeZ/7YhyLqMDh8vjTORO0thyyibeJ/c7G1ZQZWhLW26b5dMF4Kw2NBSqTlXkTUFnraBAePM82t7tSWJU+vikDq+XwN/WWq3wxRQfjJns2/sbrx7URlaqoAMXm15kUq2EdhTGMkNzZuDU24V62ZowQ2DozT7nJJGa4ElmP4utVSkDdNcers2R3p4PB42Qd55yxrTfkvDqRmVy/Dv0XZZcxbrdWUdSgtT43FA3ZP79GmuZjV/itNc1FlzSCvt/J+RkpLZ18yNeCsWubIgmFdYd9Js61IGd87s2yq53nhZ370Uc/j+/83s+6YQ0QXr36EP/1/8E/jf/J/+p/i2/6Zd/m33//r/sN+Nmf/UlhDSeJZAjbZFHW5SDzJub6F52u71GzPo96wtuUTTsWF+MyG5p2/Hzc3FrjLnuvjFoEyLw2mhwacow4j+fUHuOtAKLBKv/MCREjj0TwPR2A8ik03B42rOtN1+yKrGsVRKqbkBqGaghlKamzPaxYlIneuBq6MSn3SgqDjLKp1aZwR917pnxUM7SScqPknF3/8BeJx2utzqgfGxy2yyb53QIwTZ0yQmTY09PcwLV3zrL33B5vLsNmGZ5ywva4SQ3TUGczdnxe5B0sSje9xvA+1scD34tzpHRU4rz/zDmyNp/kWsk5X8xeub26ed+l6Xpxzsxz1gf48tnP7zTLniuOlajTz2upNXH8WbpIPM/65ND6wWb3RN38F0une4eczZHddJggjT2SmTTcDwCcBMpjnp2UEvbnPUzOcbBOAqoZNKPf86S0BOGQUhpyQOeJ9FIn2uQBSz4PJUI7qpOnWLg9KfuUky9wh2Uex11pn4UpdVtvuLeKyqUL79B3MoHaQLpTaxmimxIKXxDzP8XwKjj2O24Pr12gXU1uCucQOnHFkOM0GR+zodn7G0EwCZa/NTOqErZ+CR+72VAhIlceRGHrUVAATuowb+5xcZmAl/7LWADUVtVQrENfRKjLtt2ErXGTHKNSdldCiQiLseyyMORZs0hyaw2326NHUe2dWL1tKXUYStMSJ2lJwiKnjgprQxRJx+ZS6oRj6lGcTGBVT9uyLX6/Nhl/XbjTwOTMmkfm1zZFz2jgJyiSK9Px+Cmy9L61ruz2yIq1GQZ9Np6uZY99Z0rcS4amkZPEtWiKVKtCM9+4eYoAgmJORFjW9QQbAuAQwOTPbnM30NnDPO+nJ+vKJWSzIpKS5RQ3bPOWw2T32aib+yR+d7UxYurneL2X+vAr3c/+nmHQRn5nzZScgcGcJGoaDRLfn2rFsYvxUg5xPu77vSM0ckduSD8eIk/0Ojkt4IWxhAE49vtZIaKu7OQs0NbWZF/IeQFDSkfN50TnSDRa7dlGY9hKITSsK4GQfe9Z1xss/UD6pyMtWhP4GSUplTAzY1+NScyBjsR+g6NkIj4BgG/+1m/DF3/2F/ADP/Bb8OM//iMAgB/+4X8JP/Ij/2cAwL5LH3z7t30On/nGD/HBz329KI/Ph0eoZR7ovj49Wy11UCzf19bXzPj9AHkOiqjrA9PaNBTNLAuv7vfS9072FRw9nbCpH2v6CKXUOS+CbniooWlRTXd0xJxykjqOQCAZXDIyM5izpq4YYi/7ccu24Pb4AKLkDvXjfqAcu/wrBOaKZbnJuizmuCGB1w97QnAShwj7HKyx/jUW+WFvCGMQjW/Xn/X7KHuIyBlUTeYTXUe0Ts7Uac+Zx9B0k1IK9ue77EfUSYmk3zNazqBUwK3nbhtJkBlYy7qIbTEhKckimsE+sA8DeRAUJr4tyEt2rhbXZXk05LIGJFKS4I8Zq8f9cEf//rRLGbspwhn3JFOtfa8KfeRpNN6Xk2zTtIHYv0NuMoU0sKDPxTlRNHBgAZZZn9ifdpTXD9gsYDHZY39XczaNZtiaTVzpSMmZySGhOZZbMC9OOQoOzUuLRmM3DhhJc8xiJ9tCMYkTlbaryOWg4E0Lx7w0McdIoAkEo00W46B7w02IWV6be2g0R+b5+WMcx13vL9CidX3Aut1QaveuaWayCC90SAG4G2ZGAGQwKyJlbk0J2/aoEdGjG8cBNuvvjKY5oWLQWT8OBepJFdWL/oEKhnkzsX6wBb6s2Z/f+tW92mHsBpIcx7eT1JkCAGTs+67Kk9RgSpRQQvFyg21FUh/Ls0CrJ7ITCkF8IlJoYRJmOAo1VFuHQQvxRRU2DMun1Y2GueH56SPcbq9wu71yT5kZdCbApPZT7lGQPHpT+zNde7+uPFjyU+/j/fmQvCN14myPAh0uR9EcsYlsBt3It+focB5zYGgE3zZ2U74awEngmhfpwe9lM9h8zumSFfbK0Jk3//mznTt/bxtH9FTaPGDuUKiqsGqggQufDE0gpjq4qAQR9bVh76GboLLrj8/WOiFV8zlEIGInBprlK+u1jcDoZOiR6QHxe4uOvN1gj9/FcgpXxuRLBuj8WyyJYH9bzpEbHIrW7RHeoMRZ/+k+ZzX7ammwIvFSh/iAlWESeScuOZM5fextfBJy2KJFETyQIXnutRwgJfDpZEJai7McvjdG+No8X+1vr7EZ9pDuKRdDUlIwEjz/nBnLug0ON2s93z4DB1Bz1T0knfboWILLlOL4u+WLxzmcEhDzKokIn/mmz+DzP/7j+E3/yD+KL3zhJ/E3/sbnp5IwhG/4hl+Of/yf+u/iT//JH8Xf94M/iOP5GOrHAlEus0Ox4/yIKRl/L7R5jc26GrkziwM39Vdz3csAzyhPgm4HdJlFBDfAfB/yNYlBRpRdU3BCBN3+HwIHdr7WkYwpQWYYLQBKCc4aJQK0eoy1CPqoqKOc3YqAroetv4+xw9vzNNZak2Y0N2dLdsj94+Zoi4io8f56yXEZdY3JYTLIVJNBV05G34NSL+0BI9dU+QU48Q3lhIVIymGpvnx/esZxHDCJYQEKrFKdYtVSLuY46M8IxP3CSZICDFnkAg2oy9mmsKklztaMuY7srJtF5z0ge6rJnXpUbA8btocV9zdSiYFY5atRzrTRASDDTUCTPdSRehGdEoiPhmcL/eEphkxuMPu8DtBfk5fMss8IKjIGfSqARVA3akBH/pG4xvOFw+OTtHcofXJWnmxBRBpkoMNYrcOsrub+vDu9bpwUERoRhZwZNYZnn+mxbRF3bxCdPDNGfjG8S4yG5uS1I02ZjzW2BqhZuPeyZNzvdzw/f4RS1IumE8g2+5xXrOsDjuO5e5OZT4RBeVmR2NizshtUGISK5A8RSIwdMsN+ZJEzAzjWbIz9JX2MwEoW+2Uy0GgU9ETiCTTBEhd/bl3Yi6FlkMMx0pBSAqcQ9Wxi6Oz7M47jjn1/RimHMzXanDBjUNhkO8TMmsFaOiNjj0rEzawb6xnrsgC4AUogJLmdvT9kXqUhV2k/7kh5wcPD6+G6rXXyiwitpJSwbiuO+w5+YbOdWzQyXvIQc2MUZaVspWrEc8W6rWitodwPj77riI4XaN1QYWav//lStEhqpcacgr93lC/g2iCKSszsGIjHvu16g2c6XM+NnKgEAeqBJslbscT+RKDG4fxuFLkHNEa3gwHFdfy+WWH007Mq2UztUGIg1iK2tY6T7OrX6fLADAlr9nd/9rMSNSu99p0pji+tlRQMCI/6WmmNhAGGPjwsmqJ2pG5uU0ioeOo7AdKVo6FfJoEiI2t4ryi7/Vh0p6OQzW1uQDKaws46JLcGOS9s3obuSJ5uEMnSkmrqJaR6iNHcUwvsWkPUhYWRXOCzBUteh33UiIJkbAmlFOSSO3eDOnhTdGKq0R+dCPZ3f46z88HGHQA+9/1/P37s3/8P8Nv/2d+N//RP/if4U3/qh/Hm41/A7fYK3/9r/ov4zf/YP4z/6I/+v/Gd3/05R9uMOXPxXsHJ5i8Gd3a/tJbfhxadpghIhhFW2uHkxr8BGn+fHf6jIfmybHyrrMxplCdh/fu1Vb7Vo7i8bO3iekSDbmCInoheGBT+pbt/mhoSZT+Ql6REgErq6LmCpAr95KBqTUi5dD3Uo6DuArknAtbbNkD8xQEspVGWEBG82mcAnNic06Qre0QzdZbfue8pSf5evXCK96oIlg5lOjOL8Vj0PVVHXYnAHzyCmfH00bM7KXPOECbYQ4NQPWCRnNimG5ARSZQXScWzoIb1+8wrYXviPO6W3hTnmu0HxshrcOXuDLQ1IE63sh8OQU7K0j3sO5mEP0BGaBg3JMFJ1cI9usnsfTwEZOwK2i+2P9qxL62XmJ7WmjCNb9sj5tx8ZkGZ3l7dvNSj90kWWLnlsX7a9qmNTXnIsfPmCIoxLMWJnLJ4ie5P9xNEz4wTPz4IKPfGJPIcJWdkxFlZi9fkMMgMWRBRsY4KY1Z8v10vQhKzYp6jIDImu/15x/3+JpDPtJ7zxwJ/wgbcbo/gVrG3O9hKfWiuzrJsWPKqipJEPJ38hpKXxpj7v0fbuAs7ZVN1pcIjgCPrZDQWSBnHYn/KmI0eJjMszWlQShsin0jQyDaDKqkxqZsSCdkTGrxGnW0E9j7Pzx87gUZrFbUeuN/fCEmFLoL7/Q1SWjRftdfaLGV3ZcqM0nW9eZL+fn9C8oT9YyiEbnXl1nVzOHJraZjXfZ4ZcUZCKXfc74THxw9GhblxJ2CysYKw29UqEA7TUAdhbwtdha4r7PacJvCmTdbGszVG24VYIC8Jy7bi4fWDQtqOEUo0reG4Xi3flKdonp8XDaP3vHHTjXMgxRj7ZDj+KxiVJi+v+i7Kv7ju9MJhExBGZFQ9NkLWEtBKNzCjnPP806h82XwAD55SVzhKz7vTh/NnnZUyVzwx9wlO0fBZ+TQDs3fB1UbbIWZznk3sp+gZj8/n9zbFguJ9aGANnM+1cbM+Skt2gq6o/Pk6IhoUnfg8jn7RkiUmow29oSdgyavuP5IjXo77yAbP4gRr7dD3lpxMeDqBKTCSz5ktOmT5nbVHVnt0VtjRHTaIcc7XWnG73QBVVGqrLlddVkKunxS9Uo8K3lZVBsUzYhEe1yG4KaRsjNYgdcK+yz1e77k+bPjc9/9a/Ngf++P45b/8u/DP/Pf+xw6X+5m/8TP4k//uv4/v+Ozn8Pjhq0vjZpx708S0edD61+9ri3vXsK6AE5phUOStUy7k2tucbnEvmh0KBqVlDi7Nee+brmnRoWLInilSZMfE9/XUEZUvcV6Z/LNIWD2q63qtEfAGeP31H2DdFtxLL6cmir505LquSEvW9ZUGZlrOglQAZH8vpbi+mVLMUxSZ5cRAIadw7gtCyLNNfR1xbWipIS8pyPf24tryfiNy+c0TM67Ly9Bng+xNjM1ROUK4hKxGdGnICwAPDKljgCryLWF92Dzl63g++vVTZ1ltF8zHMVoNG9PJIYYi0VTjUYpzvRymm9klpG9qtZKHkgdrKBjbZ6+IAeO4+Gfg5MgFkaa4Sak8j8anbmh7mcYUDOng6DTdLjabi8ZPYmgUy79nBo694NgLlm1VuLUGjtZF3/XdBN47GZuxRUEhhkjyjgN6lCtl2Zz3J8mRcyiEG5rjdeMEIoJ7zZnNewWf4MPxkydjUO4SKWp09LillIbnabW6lyt6v+I1mRnH866QpqhsQHOehKyhtgren7FtwO3hNUASdcsayRTDMKkyaZu9XU8FEtiv6SyP+nvfLG2hM5gF386MAfMvCeNnso2Ukxcdt83eDEoKxo14lTpVfEzY5tivRMJs1QDmrsQZjDZu7t3AkXpUkthu1Prs0VmDvRz7HXmxDaSiNeA4nr1AeqtF++lBsOp5EaM+L26Ey7M3Z52NTgmw1cbaAB5hDgZVsw3FCDbu9zd4fHwdCuGywzU6DEjyQLaHTfKV5cA4UYe5db0BTGvkLZ5/qc/5jJzFCyhFlyXPrtwPlNIJBuLm2w3NM9OZ30sVEh9HXAjP96C9zZC8StaPx8zGzktjasfG72Pf2zqRsjfN2QkBdLZZjTaC+eRQiP/kgqOjrfEIXyTNr2/G3OjRz2DYGbSRewqFr2WX/QhzepyrpJ7dmeDIlf3pd7uHscJGp+ZFZ576dVaA5ucVmSo9aspZZHeUH/taeUmpsJxtLAwiQTEIEuRc+qgUgdtlIncsLsttfHbY/qT1LFWW5ZRRasHSNpRjd8SFlxUg8rERlttl6AMihVQTYV3lnsw9OspqrMqeo97u1sCUsCprrmmfJqdrLVqGSuDAiSWHH+ikbvP4RIbsWSGzeSD3gPe/rIdokPTxff2ZV/iBf/DX4/njZ/znn/8beH4Wx+RnvvHr8Pf9uh88zYuonEX5ac8mB/c5OKyj97T5+5lh2a6RUSed7cIIvXL4zP0cr3n9LGd9bl7Xs1w+AiFQ1I/sd6IOxTboqOuFlgKjMPiZDE5kzuKoKzFAC9bbJrJyP4DGaC3k1kVdlzrib1kyOPe6ktG4tHt6RC8JYZCVY7HvxIlotb7zae3YZ5d1qhssK7nuOzrtCE11t7ykHqlkQ/hBYbZKIqTrtzIj5nrG+2cvDVglunkx3h7B3AtaaYCKQgtm5FUcR7Gepzg3O8mRbZb+Ho4qG71IUX5E3UfQj2fnRJyzQ96+/mYR4nmPj/qgAPxMFxSFmNR5YEEYEXMit6vu5ag8squbM4GHJeevZ/t1XG/6AbUeuG2PAvEOrTWpNWpkTQBAmi97iQr4hO1TG5v92WVCJU6+SZnHRJ6WVDFiN1rc0KSzMPJrhsXSF8PFM0wb1UtJrG9T8uzcWFMTGJUcu0Y8vrWG43nHvu9DnUz5PSle3wZbYEilFDw+PuDDD78Bx7G7oPJrhkLeADyaZwanXb8GwSnrqwtdr8VWlaY5dcFkHiJLujblyov+as0pW3zmNIjn26IfFQMM/181Yy6zPrWiwVaTqDW4wmSLeV3F2Mt5wZs3X5LILQRqseQFyAsoZY1SHv3aLMWDG0t90VLuzkq7bY9Y15srYVHoEJEr7ZZTRSljW1YV+sWhucYeaePbGuF+v+Ph1aNfj1neOxvjm/aDMcVZjluUGvMGerVZx7kwf54FDLMkiBukbtnE6Hx4/SDerPvhpEW+ITE7+/JJ4KJHw6+MqvexRaVqlluzIjOP2cmjeTGms+EyH5M9oqeQsDod98JeMN/XhSiJsjAYAGGTjtBCzx9RVkjKEj3vDMT+pj6NPQ/PDOCLfgNG5+G5081D3XVdMw6jMgZghNZNv0fP75UTchZaJhMNSuUGRjD+LeoQHWvxvSwCm9CkHt7R4awiN6zLN38Oi2imVHvhc2jEUscnygZKCzJYnXLXDisA2NYHJM35j98zM3KWyA+Y0biilAPb9oDW5DNC+TJmVrm4CONmiHb25+17HbPV3ex8DbUIOYe1K0UvjpWRoHQY4GjcyLh0pdZKIRARHl4/4Pbq5gYFUXfQ+Hq9WHMG7ZZxHOeGO5uZ30vHGhD6BrLmxdkhv83ONGsv7UXzMbOh/pLROd/LDLT4W18HBt3vY3Z/2nsECKMjeXZOdYcCiaxp8Bz4VtnrcsIN0/78y7KiNSWF3MXYXG+rQHeJvZzdTCSnL9afWeGiV1Ub7LldJ9oWNShHR8vc4rp4qY+9bxPAdTzODCBuPVIcn4MSaR478O2/8j/Dw/Yk+ekXjonYjr1gf7PjOHoVCkpJHOIaxKiaq7psC9KSkFPqUF2VO3mZ9P2UnHlbX3qQmU0RGj4XnFsjuW3S+SsaatXItELtr/L1rbXG4FLx9PyIv/43v2uwN4b9LgHUwph4ZFmPSxjS/FJKmv4EQNciZ011CBFOeYjuiOu6SDut1dYaSjU5HyLazcjSKvjGWG+bv+fsAPk07dMbm43DYu4DmnPGQJbCAmfKxAIh0JpF1klRaLx0HzECB11CfrM+1HtcEUa4MJrLA2BeWN27k3JCOYorNrOXwD4fe8Gcgygbs3ioZQNX75VSYsvkKZ5/A2DIjfFnVsXEoEnz8/ao2gjdisRAYMGcp20qn6LHG8wgKyQW6KU5YjFYYPKQTYttzHMJkbXgFbS5EPPDXHAl+EIxxQUoaE3yXLEBOARrfr+/gUQyGxpv4kWvRT2MVYXwaAgPsGclupDvRJFa8hJKqEh/G0unQGVEeTIa8a5kjcJPBH/F85snPLx69L6syka7rZvmCDVhY1PvUTnKifnQGRmnyT4bKfPamYXbXNiawbi/uWN/2rFuC9aHDQ+vH7yel0ecW2TNk+jsVZMxfvfk8a+FZvINGOfUMOcnwR69wXYNE97xmKiM+PGTLDtdI5Pn3FmuiJ2HIJdPG56S/UiZB5Z8I5XN4LMyCMgab0hO5gUwauNgIEn0aoZcA7KWpo580SkInGWN9rL/loBBMQia8It9PCtd/kgXyqq+OZjtvbsCIMZHVwBTSo56SJnQmjlHAc7CX5BzVlp/Q1TE+tPdaOVW1QHXfE9ghbSKvOv5m+6MzCuWpalMFIenlLjJ7jy4bQ8Cq8V5fsqcls+lHLJ/uGweiYvsfi67uVnBJ3dAybGaHqLXlfcBUiMvK3JleHjP23dt/G5eM/b8lGlkqGyMOq3Pl1izo1NllqOArCs3OKfzTiUa3sMW99H5e/n/5WDBkBf+FWTllRP1NFen1BHT1WZCqVb5ZBjZs47kV/26pBwEXm5HyR9LKSEvPSBBWicqjAZsa02cuWVF2Ysfb+s87tdWn9301twWpL34XI8yjiA5ipuy3cbKANFo9fstfb0PY5U6MaSMEYB0jsp5/6YELJLyFFmiTSG3aPDj7QkfffyhyivR+7oDSEVRkOslHTjqHfenu7yHETBlSfuxvsxHdmMQahwut0VKAB4EC3gboRCAoJ9BSO0cXznlD6MjWyiRl2K01IRWGaVWLdekc8tlEw/yxmTcB6++/KItQ0RK3tOdkVZzMyWyjCox7GFOVtHDubQ+/0oDlo708b0r0UBINJZZHNdILQd4vamzpNsfrTWxfbTPu31z+UqfqL1DZDM+vPxvLK7WuqIAJwIoexkWnWPPdSH4BanDNS9hUgh6eGNw4tGrEZ91UiTEU9cjMzEBOQelKy6uOEnr0Qt0iwDLTmAjEa9eONuKdEdha6yE2/aAdd1QSidjSCmDG6G2opt998RalNO8zmKwPriQsPzD7g3T/IBSsT5sg7Ah0mhzDsRLHAzdmIOJ7v2zEh5xDDl14xS1C+tWRRkdy3wQxFkUNwG5BgUlRPJMFyyLvPuysL73jloY0MKzpexSIkXPXRZJcN53eDkTF95kwm9kICu1eF3Tdd1cOJUqbI+zQb9ugu0QeLUpZx3ilxXCk7VsDgAnKRCPVCjYviRkzqfka9+oTXjYAM1rYFbsA8zLPWVtUurUuLk/Vez3A3nJuL26SaTzvuPYi9RvbG2c/3p6rBuKAKW9er73oYkC08Bhk7465spjPxuIkTY+zqt47Kz8RqZg+RvKZkcOqb9qvpHGa7fONEzUUShDlIYCI56/h8rMbHmffHpee1YQ+UZ+/VxRqe/POj/84ERbguGYR89jVJKuxsY2y75PdePUa8klVbzsHHm6cBtyGnzLa+fgQZZ31vWXZS0ktr1Hfs/BeVfK4YQ9BJH3Od/cWcjNcv57yZGuNIqsMeI5g8Bann6sVSdOxZ42YOWfzMNveWeAsBXG84gEJUOan2RokM6U3hE30h/ilBuMBbY0FCA6rOY5GWHR/Xp9HXiJApfh53xbYfwN0PM27uHxmjKH2zCGs1PG+6xCYYPTPH9P2zwOs2wyx0LsGyI6LeJ4LBAcn8EvGSN387nxe/l7dAbE6gfxWNtLTzLYWFGn6PZY7og9imUMtjHSLYajkvrUgpR0r83dwW37KSBlNswg7kZeWF/BWUYkJUDKUbtzLHU02rJkLLe1GznU9wBrrr9OfWkMt+mFPWw2NG1s7Lu0ZKBUZ1wFEBzkoX88zWB06pkxmMIzd721OzSZJcUnpV6Gxgw/qBwvdyCvCYzkcE8QIek+xWB3cBKiI6BPoRT6fDCuKaEiyE5KaFn1W+NMMTngutGY2zmS/Uyw2kTABdz2SnWyeZJSApL0k49R416qJryLICMbYr1jGRf9WxmjhS38wLquiHLZ+rOpLDX048Cl8ynbL4qxSeox6oqLQS96J+ScUWtF2Y9hkzBFYIiGUodrmqLz9meBR4ts05q9YvOgxJIb/h1sY6vjtcOgGeQQwMDgKWQIYnws6v3NedVrmOd5JFA6jh3bdsPt9ohWK/bj2Ws42safklHbdzx+rdVzfaR2zuoTXmq13c4F3Kt43MY+Hz2FALxe3KwoAyr4tN/m6AUzBmOkVT6NgStkGTA2U3s+DAK9j1ei7IQ9ZlDf9V3LIfDl2KfWXykdg8em1iaRZBLPey8pswpBhipeRiBkeQ9eSsYVK4lKpJSxLGL4g00pzL7pMgsF+u3VTQRlEgM8rQsSskc4LQfDciS9qy7gfoPR+YJiPYzXvA6ioqVfVyUS2p/kWbfHDettw7EfaKWKkVzPxkw0aG2TzhnnMX8P2rwJD8b8W84BzooaAN8oZkUrKvKAyjSNbvt8sbHNkHmmHnjb5KHKE9jyobsM8DIcmptoSorlQc/zqiuQDDe8WpxDAWrbGoBeBH0wAvxZzv00f3clk055cta3Aclixw0Rz6n5s52Uv64o9fNIYEtmxGaDGvVnRKzRprk2lAjZ1jf1XCErSB7fy/Ibc16ASurgtGcych75f103HMcOi4qaMy5C1nJeAa1JJNEEUZ4iEZWPl+XC14rGkaitIz5kn2hIMAN57+iftKhhuyJGHOWcHj1qXJFo0Tmi+ZG1OSTOn6lhMELetr7695qmENAYJyMlGprt5XXr+c8TbFaM9b4v+bWu9rf3rPV9+C1Oobc0om7oR+Mp/v62c+UZzg4A+z9NaBpKpOyh7PLH9QjdY3tlgXGvqkdxA9POFxhpXBuCHBBxSUrYJfN9WRakTIoIqh6BPO6Hz63LigCJXGbLO2WQ8ijMgRvKCjVVCK1BTl0G2XFk0dTk0bJoaMbjyPTlkIdBQYcWp2Hn5rC69a0GYyYnQEUiGcFa0FWIBHWQ9DkpJyxMACS/9XjeXRcaxpk6YsYcnzB9o0qKQjkkxWRZTV+bc3epP9ukD/m8OvtJfL6nROAm9oIQXBJanHYXUHoinOyfwRmqkUqDKROTB2HG6wisO6JSzJlWKyNDxWbsN02Dk1za83wTOanlTpSTZtkWcG2Sq7mtqEfF/nR3CLN1Rr2Yv5+kvRNBkEzwBLSmnXImTIhMplY4mQgy+QL01Y6Lniazqr8amW7RzTioVzCXwYiKHiJ9jlqqL5I5IlT2QyCP0bsBURqi0bNuN6S6TIbIrEDJ4hAYWnYj6Djug7eZaHXjaBbAAntKaGkkLyKy3MUmJUAiFFcNxjlZfRjT4JWZFwrlJF6eBtCS3Ptn1xDP4JllOEYAwH187doNXSFKiUG1K5m1FiStbVnKjn1XqDKa5pw1FfwR3pYR81xlLmUdD9k4skako8K8H3fwLsnrt9ujRDpV8TP4rRmeRFBDf5x3do9am7B7qYeuVUZeA4SC2cuULEtGQffGe79P0U3ZGMaNev58Mm6mNjsS5Fkrnj56EvrrxxseP3jA9rj1NXlhLMj33ct9ZZS+D+3KefXVKEovnp+uIYTxu74RxsUpcytSn7cqUH2eIjrxmoAoOk3rhZLimkiNVRbNa7ivyT6HUpeG6CzzdwrnuYIQCRFMbrgNF2R8yJMBrh0s8R26UQjECXk1FuOaGD+Is/F8fFTYutOTNDrHGC7oBq4oY42a52IzNVdIU04Yo4UZiaR0irxGE0gTAtyLuzyVUiVyXEpZ0SJHWJddGReItyjVrpRwBWComRCpSMnJgaz/ay3ueOjTj4SxsDU0ulZezAkKAIkyktZABmxPKhBHhO2puNybr8YOgMMIrb/luhZZO+ck2XPNn/vctsjWmehjyFvH5fLrxu17Ku8AXL7/1e+2BxBhWJOzUv+2/NZZr4k63+DkawwLpA/nhHXbCQ77cXnJJ10uGh9GBFlL9bkh12cx8CDEbPKuVREJ43vGvbAeFXXJWNYF9aiY5VhTKKXIHBNEDQRgVceMGXW253cCNot05vG7aMQbmsr5MWiY05djoGgZf3eSFccsRi8zwI2QtuQlWOSdjINiQVqNwZ+nvEi7JvpzEGFZATxs4NawP+0wy5hSGmSspJPp+g81KKXbLMIXo6kUwq59DlOCk+qIEhVuowc1tv2x6nQW2cNEPveS2r1uoMe1EtLOBiRE2HvEcB9zw2WcRyRNl+3cWZBrZwqXqgQ9Bcf6Q8al+XwFTGap3ENfC6UceHj9gPQgc8nmXbUqBDoe9aiXhvUnae9mbJJ6RChM5EnIJ0peCPXYiy8Kg9xGb4ZfN3UFhcfx9N+H49GVo7d5RAclPBxj+PZZsMV2PB/DBmk15FxokFDUp5yFWAUVUobkrHgZUUOtB/b9GTk/a+7Nhpx37PuT9tFIpBBx/zJh7TqhPIoLNlF4LAKaHgVum3N2yLAJrlP/XxgsHtW0FoRXrz2E83mm2DmvgvaDLfzWYa62KZgS1Md/ASfGiobjEFjy/f7GC5fLMzSJUraG47gLy2++pmt2A5c7y9uybOBWJZfN2Bi5otYHPDy8QkoLWtv9naSPxB0vNeZUIWOBJ9rYlL2glepU+wYZy0tGOVRQtOb1u2ItzNkotHHwWm/THO1KfXe22BqNGzCCMsv+lQofrUt27Ae+/lu+fqSHD2srMkjCHDPvcdpmdBYN0cewHq/kzknpCo4qTtfnRENCLyKbaRqjRvazOJzYyVT6aVZHsImxqNdMObkDI14HgKMTZK5q7qB6/JsSZTAwRKZO/eRGkx992h9GBuWzUjs75+Y1QWmE8s+si3JsuJ46Ni9LBEyKgH8GO0P3lcFrTOhWR80UIUaH06Zg3OUla51MYXkVgrhnL2OSUkLiXhsZzB5ZSZR7DmQNxBoXfRT/f2lumsNNCn0H5xf3SGZ/1+Z70SADuCM6/BlJnKbL0iOe5pSwe9Rafe8fjMLgdIgcC/F+1aNEI0zsRcdEXEP2/+SM8T1ojpSRKqYT8Yad84vB0PhLvc3bJxGJPEDIMW8MJpwjU1fXa6NxOF876N7D/UkNFXeW5IRx7XYGTkoE1qwUg7DGmoWW10ZEut9FdvzuWHXiS+7QWVadIaWsaUMja6nlLNZSsTxkbI+bGFIAljXC2RvSkrxOeavd8SaGXSeiSkvGsi1YVtHdkiIlxnr0XRcFujNP9ukxFUj6CJ420J2Pk7Jtx5ucVeTS4mXhmqcJCEQ2oS1AvtC5oo1gBmhTVNf2sHXySLJ0gw4fTkkfGNDULyW25A5fbtyQmhnV6BuZvY92kDGcG9mdzBHZV8WBVEE5xycXw9DKi0mgVeYPNP2rYXAW2hhYNNTzllvfr0Qnk96IjOd9fyO4R7Q1AKr/Lw3HYWURAarwlLeZRyLK3HlPkPdK2LbN+7rsxclDa6laOs+i5zihGT9p+9TGZtyYvXi9eRwuNkCD4xnpzOjVkYEY8nJU0M8b5ds84VwbGnWFIiroL21ewwJ8oS/LfjhrYzzeFrjXPLNB1WdIlCUXJy0AwaGa9/sblHL4ea0mHLRjWVYsy4J1fVAiHIm6bdsNYEatwVAXLCpI6fCFwVZKqRQA60IO1WNmV5jcOA6K16zsXSlf9rd5pa6YqVrpUFCb/H697sBTZcz/VHiFhuttYU4wK+v7hwcR5qUcuLMwI8o98vBMKUs/GgutzbnaCpTSS/tSFuq6bgKj3Tsltxiuz2BuTvBkkc6Yy9mFVvZcuth/x1GwlYplXTSns+cHs0KOExryKsRIdfKYn5wrAZIU7xU3aub+DlHh0gngspgmRwAg62hnxsdf/BivP/MKr7/udR/Hqck50Unzfnr7o6LMVZwDs2Jr7TT3Y5sU3VkWvXRvu5bDLNXz6p5nJEi9RpJC9CzKVyt1oO535TBEd7rXv+cXArKxczVvat+cheQgKPGNwdmUcIFIXukbABziG7XJl+QucOHJxpjn1dMt/HLe5n3j8nsa19CYj9gjnOYwPR3L43hGZ1piMTjFiSZRT2FifRzyagCglzdoqlvwkFMZ50lKPUXC8tLlWZqeEwkfTInJ7pRMAZZ15dDy8VcUR6I8vLc1QZykvi4Sew6qObqMUGh2+nmUSo3AwWg2pSw4MCME9m0OxPnv6ByYJ6Upy37dC2j11dyMju33sUXH8bhWgiwCTfMSQ93zub2EWhi/uzjvLbJhXscxKkkErztcW5/frDoGNXjN6XgNE8+1tBPs1OCGzAASYd0WP9bvGWQkM2N76OigGDU30kAiIQpyFJdGDAVNUl3ep5w6YeMsvxIN/SSGoTrridzYPMNycZ7HdC6D4seE47wMFYkTk6hDTudVYSR2cl5fkxJMJTXegP3pLvd3Y1MMagK5M19yZAd7GCCTxyzkcUp82VMqAnmdnKUGpb2jGMqVi15QDHQh+dR9hpIH1rjVDtdlUp1VnMiErl+RGmjuwIh2iM7BwRmr8FqXPVbeTK+XMrBsgqQrpcAqIFDVFMIL55c7nAPpnMC+N9xur5CWLCzK1I17czDcn+5SZmdJg675ads75Wz2SU1e2DrO+l6LDIPlTj4RRpz2oFQFT9UcUQHOwsuvoV6lHAhu2hQtiv97rZ4UckPDoiqHFDqVCyk8IJkwi0nO0FxV8QLntAArgGJRporn54+FTh59ApMaO6XsePPmGbfbKzw8vNJ733EczwA3LOsNXuuMe1TT+j4qCq0WlLDRSsTPIhUskTQkMEWBgkHonPopGpcRF+8QrJDraYfNnutJqEkfjA4LmRvtfDwzltXqhrJHjQ1ivK43VW4WzcdcsK437Psz9v0JFhEyhkVJmJbxW9ebetsCSxsrAQEE6lzLgaXd8OrxQ2cCvlI4jGHY+qJWYaQ7diHi2bScivWPM41VBqj1OlOTcvVSHlpUqIDJGROFwzy2ZMoCO6R9iNhVyTm9P90l9/Tx1j1b3DM83HhJ5yjZ+9K6QcAgg6LUPlbxmGiwxHapcAfjJP59cpaRsJtSSCuI69U91Fr+g9VYqbXKRj6x8AkjqJzT2VYl+gkERmpunscUZTuFeWDloQb503pdYruPKaqzgiiCdJybkQHbvLyE8TxbE+d+Do86K2UXf5uR5/2v62yASgaFazAoqSsS8XniZ3kfUZyWdXHY8lK6nJAIo8GdKlo7vB/EIKrDiyVFbViE5TjuYE3jMOM0GpTxPv2ZVTFHAmv0NDKcR0M4pYacb95POXUyFIkoiFJr8tLeQ/qoYF0fhv3VooJunPAo6+K+Hd9hblEBNhZkj5YGGYU4HrOD2o5ldhLD/hzxuLNi/r4am6NjRv6PtkbPyx4dBDHy0Z0uZyPzyknn4iNN14zPdKWLDM8Yj+/56MJg3XOXmZVltDVdUuTHGrwxstwKQYs+u143L73qgstpzYtc1uxMs1LPfFO+kuLGlvVhXhcnZbHHz5p2U1TvTEvP1czLC7mXkyFgxEM0HTcKSMjvrEiR0LdxT7K/RRbFfidHcJAafDnofP4+Ma0i6M7cGDklEK0wSKvosgl5seejvu8lArXuHbeoJuU0MJ731+vQV/msfRWd45CotbwXacSX+z1Df7rTQlPJEM0dNTp7DmzoJ4z7n8v1BCcLcp1TczcdZjultaUMrLdNbKqQbhff3ZnMpzqazIycMh4eXmPbHmW/OKoH+W6PG8pRNQ1D9vbb4w1tY88Nfpf2TpHNkUaaT7/b/+UoJ7bN+NzXSsDZ8Ll4CJ/RMVTdqCEj+yFGbf3S/ex/UzwMylCOMhQGjl49ckNaFJK+uZuilJAgwuj5+WPUWjQnRmFRSyAPaoxjf5Z8QWY8PLx246nU4myp1nLKyp66KBxZ80PRyR3cWNI+Cl0liiV67uCg7L6YP4WxD4KAO226RDD8eVS+zTkRjzfFJV7HnwsBKkrkNeu27QHH8eCRyOh9MwSERH8lCrltDwCgSllXonJesCxSPoW5oRz38TkoIWt9TUZCKQc++viL2LZH3G6PMNIiwcX3OnZS603XxtH797gfWLcFtPZIuEU3mSUynLQMBRmZy8Xasr68Gh8bO3ZW4LOBH4+Rv/U5DjWquOn8r1LeRyNjicOGhdFYckX8PYaWWU6eK9rBqAIw9MPc3HBBWENKijLLl+6N5J5TCQCtjfUko+LrTBAynmUidhoUv4oenWnkRqU/p26ibmiiK29EYpwSkUCOqMuKYW5BFIn+ALb+e76R3W9WmDpl/qhA2Ou50uvyK9yGDEY1GcahXRHmuByMJDWNxxuiyz2DJw/fB0+01QZ1Zaw25CWhloxlBbgKMZDnSULYr+/3N5KTCQLnxZ1jDt0KCrcZh9K92ud6TXNy9X0pwk4bOJACAQKBrTyeE6Oiw34SIhWlHM7gLUr8oUpnhAxWEAnZRMznDZ13MuLckJz6/0q6jFC11v8OhqhfKkBio5KHMAdNcY6wRnuM+GxDaYH3rM0OlWkYhmPi3zEv+CoaMjiTgoF5KmPE4e95/anBYuNiUS//rQmTqfNvaIAgQZ6t7EWjjFLj0Mp+2EX92urkipFer72ee7k4gzF6zmAa5/iyLaAyySFmJ0VkNlnXHY3rwwpKhHoYlFGMUjNwvT+C8WYtQaNhQS7b+8X922H/JgOCk8/blP4kRIdww4grernDBIBHXdtzJskilASg3x8AKGvENyfUvaKWnn4W952cSAMkaXBE5QFlpn1i0UZoUGeehwojNuNfykqxPpsZlVZ0VR1ZmtPKGvl0mB5GYzI6R7kFx7zeF0362sqGRRuFgYH52veVMAaZJGJ+f2JFNKqBn6hD/tuka5Ckey3LpmkaYo9Z9QYnI4ToqTbnjeQyrttP297N2FT2La//gq5wRZITy1sTvHkIyU6LBhAq/nYJeR2FUzhg9NTogpccvhHONXvUoodJKIntOHjdwXg8iMZcRU8aN0GbfYOu9cB+f0apPZLpfWS5lkpS07hp/mDBcTxLXbZlw7rewMzY9ycwM47jGUQZlcRovd1egZbOnNo99FGAZN3Mex8wkyd/nxfhtSFO+u6x+QSv4XhdTKQT3zZ1XyjLNGF1/Jp7eAAOwqpRZxqETvh1XXG7vVKlcSwDYANIlBTC1UvFiHG5wiC3KWXklDU6ULyOnREOIUY6W1UjjHAc0h+Pjx8443AsrRIdEXJ+/+3YC5bbOvye18XJs9zgzBkgI34R1rJ5XPrYjGMXIyx9XMPzTOsnzoVZ6atHRTms/qZAT648qfNzvW/N2a6BjppQcoIXnS5X13nJEGUeDDAAw3hYjjgQjYbxmgJRbU6RDtbzlCGQm+ZGrwtSFmKMWoQcg5VZlatGqaHiLo0EN3GeUM6A5p3mLDn4KQd6+xyUxSBLYpvnXMzXH48bj43RFYPg+3XsXhcRmKs+nn+z353IqyHAotBhnpoTnohBFR4REXQUqyJrhmECt4ztASiHeM2PvSBXKdpda0E7apfhsIjnKNONfbyXWqru9KLg6MmBFK5WKcVlhGqtVUcV2XFH7Uy3Nhcjembss74nEFkh9eRwrVgGyuZPSqZcn/eYPn+NnEgVwNrcru1O0DAhLuTZzD4b26XRqNeKcOyIDol6x3gtdoX4vWuTASn/T3tENajhGZ0xG6BRj7BmuiMQxil2dNjL7e/xuva16Xs9hWnWIf2SiVCUe4OH6wYnt8L8rR5iLMdHKTmyZVmX4T5Wszz2GWX5fdnSsDe7Y5ZYI5/dEMxJ1kFqUupkcMqlsXRJymO0yY+d+tt09VPtTqLherNMND0+jg8BsBK+rCRooocF42zq82kUZJ0hBCtAwsmxLMgpYX+GB1cGp2UYUjP0x9xMcz5Q/0JwPeI0WMivY8aynU9EAJP9CG6iA/YyKBKhrbVJbiq3sW/CFB72OLNJ3aElOrM5+q3k39DvEDsmoXl3mgFrRnbKhO1h02BYXKfWb52PRGrDJ9xrQa2H7E3bTSP23b56fnM/5a3vWn1j2ZYBhv1p2qc3Nt0L1QW+WfM2kWyj6YQrPYzu1yHxBFjplPh9/3z2qg3Ky5VwbAzkYKAGRcmfNxpRrW8+rTWPaLZSfUBIoQyGp4+P4kKvVtz3J1UOmhoV2XMDW4AgdUFZPSTeqjLSlgPrJuQ0OS+435/UGyEQuGIMhlYbcoCiGT12yI+lqKBFZSF6Cc/96Aa5LeCQcN6ZaC8USIhiQNLZLtjs3QfIGffoBOXk0I5W2eeQRQ1SFg+YGeMAhCgIGKj4TeExhQm8q4ddIGgp9X/LsrrBXsoRCJoSrAyNKGCd8ba1in1/wuPDgkWhs9ZXUZERxXBU0o/nAw+vbyqwVUFtSUstiMGJRTa0ShUcGO18zk8teoHnHOV4XnQC2ebqRq8mhtvvRnTQ6sg4bBrY/BxfjbH1tdqYGedeD7/Nhtj0f3fMRGMtuYcTOK8/c2T19Qr/ztaHNyKAG0rp8jatGTgqapNauyCJfiUi4XKu4sklChp1gMjbcDrsxw29ERGRsxiweRVlwbzLQfie3s/+jspIrJ3ox1guNxDuH64dlcZ47RecZvIbguf5WkmOzjsnwioVAKERn/JIJXIiupZBn8SIgadKEBFqlZwrG8dKtjeaPEoAOpurOSOFHbD6tWJ/9GtXr7VMZPWcuyNDfu8loSQft3g+kkRHmxq6CTFyV8qupaIWJLIyT71u6LWyqqF7/S4tVqC9I25MjvQ9gQHjdbiIbF0rA2fDssO7x9NmI8UJ14I8G8hVrha9jl0srfU+tWiE9O+6wWkaOjUG5jzAaU2f1t4sA1IYoOkcDsJgPl/m9Kj72e+mbjvJCgtke1edzt7P+SXUYW657FbQ3pvpKJAoZbLfdX37YZaTaUZfbagk++eyLmipunwdAiohoug6R2VwZixqINl6SCkprNZy6XqdZd+3tQ724MibxsX6MJ4zjEccq8jrMPzWXEfLpmdO5DoEcie+GZnDeCbL6ZT+oQqsN6nAYDrM4IwkMRBjNQWLTlL4PjIXM4vBySabSeU/GfnP5NyNczH2b2LNs4TKSgzOsGhAD9cLn0ltJue5aaFM5MSfIdFOuPz28ZIDHH5d9sPtF4l0Mghajkc5Xfb9Gff7G5CW/EvUqzXUo+C4y3q6vbqNiKIqttD2sF7qnZ+kfWpjMylMZdwHZsHTiYEASIdMRECW12meIfMohTVybnQe1KvPUVFDAojH86IR5QqWdm5kJ4s5KmaAOvOZTXIiHPsd+/E8bIbGIigTZXMG1RjtSkraYAW9pUYbo93fgIjwcHuNlLISC+1IlMSIAblCYB4MVzTdmFq6wWXPO7CT9X62zWQ2RCNEg8MCJiI0Hjd1gJym+WqD8O9y/66hL1q/D0RhknfphdepyXtKTubmhroZmkbBLwZi6/h86oan9LUoU60ymnrxpdTJDcuy+qJ12HMwXruToOG+PwFE2LZtmlui3Jkibs8PQJW+prkMct1lXVBQBoOzpdYLGx9nY87HZ4pUcoDG+HHpWhBKXpwYHOZwoJyAJuvWDE5TjiOkaFbQ/15pgzE0Kf7Xx+sxE4z2ioghblBXym5V0ojZkwkY4uccaU1EA+FWY4PnBgNyEQIcqaHLdiCILKra85jzqnUeo6KZet6MRAcAWq5hdCDqnmnM0Q8M82z4MpzfIwUYj7NrBu+9nTdQ4099J2sEDhEz+edyTiHMMibRGFFDj0W5IV9D5BFOKDlQrSK/UpKoRTSQhIna5NmB49i7MWaGMRhoFaWIoXMcYgSakWl5mzZOMif6ODeF1/b50hRua7JNaxRTcvi2GLESGe2Otw0MxrJsiMak9JfJ51WRI4vXI9ROh5VKEbQK+/exDUqfKmjMEPKroEjaWPtePyiP/dIU7NY47hGCO+Qa17fLt0iy9T62q5zrqAO9ZDyKonv9mzUf1mBoXjpQo7Gkf/d8chnzrGzR8XnMeW11DBMlCR7o3mrGFQfvQzeSJXpYJwdHXrLXt7x6dmY+6zAMr1VtOZ7izDXDsjs8BjmlgZfBobdmD6AkjXCOJazY2arzAOslj0D2yOfo6De23quUEB/HGKHz7xLI1kDquZn+u96DmiIkUpfXltto6RV5SUABeElYqOLYGa0UsRUU4UqLK599zFy/Mz3V5pE5RUYHmOlMQ9kRe2YQWM8ZUDFhr/GxVmM1SBJ0VXOyg0KNZn+qyVHoz2mOSnsDkjP8ePtdx2pZszDJHoKMcR13lVTEWgtK2XEcz2jcsKbV0Y6AwGQBRUCCUI6K7XHzYBqzwGpruS4x9Unapy99Mhh1ffJ2AhsV4IE4xr06jT3KBUDhVzlAhl6+3UsQHAr3s+9tkcfjB096EFy2YPdQhNeOiUphDeQadu5xHD23xh5WP1v9Tb+ewpbMKLJ7W0TOQt9GNW81PB8fP8C6bHi+f3xKDB5hs33BRyjVLDwc6z8ZgnEzMUPTla1ghNo5vpGbp6mNi2O893ljisyD8bqiVEfvcodeUyKkJYEOIQYq5ZjIL+zeVetgNjUgM1otMAZfe3irySn/mvebLVQjdTJDM7KrMUupFSLC9nA7w/RycqhM7P96FCzLDUDsb/Ioe2udmc4o0w3WfVKCwny7ai+RaflaVegfsUDD2t7nfyvNC15zY5Vz3ahg6uP6vuZrGmNwXkiN86jIBqOvSVQGjcUp07jDnxsPayKeOxiYYWzFwx0U2mREBm0wimqraEcNjqY0rQNgUVl3HMU99b5OG2s0S59H17UX4nbjz+S15CvFiKe8Q1dKjTjO3s/abMT176xPxujJ3FezIegnTbLd+iH+33ON+jHdMz0aroNSpf97YXH7PqakNnLlIDrHuLwAfw85XwAcHgtm7JB95jjuIns0zQKAyv+KnDO27VHPrcNzGXN671tT9hIyFs/ntDGzCKSkIggzI0hy3GorYM3lrK2gVtmnS9lB9AY5r9i2R6xqfK7LhpSVHEVzueQZGSgVvGZBqEQ+AZ+v0b40mdJ1gjgvhjzNuB9HGK1Pj3DesG/qHl2s1Bad5lf8Oy8qG+3Z8P4amwCCLjI6GHsjdxwAwsqalzSMDTCuodhibi0DmOXCVzw3n+VmNCABWftWH304n3nIabd7kMJNsXTddd1W32It2j7cy/7GiPowvagWSUUxgrAr4suoV6VEThJkc21m3Rb7xFLYRgNmeKeURCZdlDBzAqQAh0YHIzjSxPT62qaaoWpgcwO4yv/ugCQ7nwbjdq6T6v+nDn+mTOBFgzqlIW+LOExZZR2Nc8bOtxQAMRYdbx9kiRjaMsbd+3RK27P5fpEhHp0ZYDofE5wyp/Nw8d2lnhzHjzQPM+xD6EEUkaXAdltRUmc09tQMzc0spQSZJjrrcdzdMeiy8MKBZvP3Cpr+SdqnNzYvOqkvFgn519IGptRZYCSHy3TvaIe0nm5z2ojs82BA2qJqAmmNRq0xiskzTp5r1ohmiAoty6KkDqF+TSiUW2tTQodyWoQWGYvGR61liIz58YAO+g0Cge1wzUTZN+Pb7RXWzRhWpSSHRS+tGUsrYdw4ST1hL43F0J9BUJpSMDPL2rPPxzXDGUzzAyw5RTFK4r+nMfnYk79bz4e1gsutqVcyRIkWJ1virngRYdseVAA1Jayo/h61Cmvwtt6QlzV8L4QdDJZyJ3lBSrvnbJrBm/Pi9TVF6S4oe8bt8TYoKp1Uo5MWtNrQUvLoppU6WdYFx354hIRZIA4iiLWo7xHXE3yzHlidwxjNzHV93M7jb/ChWqSAuzkZrM/tni81Smdh+T60NhmKQ03ZFwzIlwogz7Jy9nDOckYcMmIUcbV8cJFHVnai3MtQ7mJ0RMAnRFRy+suN9QKjMiOsgAH6zromW4e+R8g2qT06QGind+8bP7s8ng+9hMcZnPbCqJy/i8ZBbJ5jVFlrq01jYIe3s6Fr+4zlb5qPejZKMSkHptCQKiEpEVoiR9lYhINrC0zlI1Q/kj8lylJuQI18L9FCBBIIzbDnRLTLsqweFe37TnesmRJibN5X+5REVO9IJMR0QnKhpCbrTQxadRyL4qLyNGcQndWNsTbj6edTOzm0qKMy5me9Ml7iMbK2QoSLRDm2c+X5OnTRDOhW393L/0u5uTKNuGeM/TqSd41GC1Q2zQ7WeRgGsjP7bpaDYY7bWqkKV03qjPYxNhiiWAJuLLnOkWjMj9MoeHSky3tI8ANr9EqR5m2PxmFUzk/Q1XhcbcCqxh+PAQsLkMT+Tikh3baTMW2frbqA9fusQxlSkEjg68ZfQmT8EkD0lo1GW3QUjmMfBt314uG5KjxNwfo9ZRkHV0zMaB/GHeKgTJouxRnbbcNxmKPfcr81SEMGW+3PY+9hj0pEDm0dkBAcjdOqDLB6vmxgfd6GaKf0D0DcCUxdtoS5bIyy0ndzAAQus+BRSkLi/twzbJnUcW3vFuW7Id/ykrCUhqePnkRfUz3Y5mNV7phSdrRasG43pLQMtejddikVeV1EziX2tMJ3bZ/e2AzNJq9NZlM2fMNJ4wIF4JuiQWpbdZYZmXSTxyG2wSN0mrTj4Bp+3X7z46bE6Fobyn54pC1r8VzflKYJs+877vc37jlIlEPeS4deHceu9+kTJKXUIbNoCv8cSWPMYGxcAfVyHylh2x6dPbXWinW9uQFLRKiVnGjBiCAkd/XKsxuUy1DjxxSj+G/2wvlzxrqpuhmLMDx7DWMydFfZ1HgMSkSsX+feZYW4EIc8GfsNhHXZxPBvPf9t35/9JaXIeEYi7VMIE2007GVssqzz8PzGtlhb6d5/dZJEiDKz4ds3zcMcNxGbV/ZO5SjIWYrqtiabowvV3POO6lFA24p1WwTic5RLUoV5c4/jPTtorr7rkPbulGgKpe2wchG8wYZBa8IC/L5GNq352knkZUIIUOiprpGYcxHznhL5b/Z3vK4ZBvE+8X+b9pJ70qMr5gCJ7HaDsq3/1wuPJXNz4ygpWgCAKFqAy0K7FhFQNRpR9oJ6VOTVombhfULUYSbd8b6ZYN3xHnY9r8kpP4qxFWn0TcFEn/uDjGoYlIx4n9N3KVwjRDvn88w7bc9qdoozO8b9y2ruUle85rSNlBI4BThuK7IGgwO2QfaRlDIWJSQjle8GcU1h7hjrpuxr3ekp/ZOQ06IRy6hoj+PkeZ2T4ebojrxo7vuiz1Jwvz+hlAPb9uDe8t5PIfrt+2mfI4xgdyhbenRMyMe4ZuC5/dL/NMif2WC5ana8sX7nJeQH2xgrXLyTq7Th2u9le8FAH/u0bz1XBv3b+udE8Hi6/XnczLlmz+Hnco+ID/q8yom6z1UQ1HHeWGGg3QFtzikrWzKXzHNj2p5pgmKa3Os6pR67yPMf9x3LtrrDmVWxByCMnym5wep6NGjQg83wi1wLzVPP2COLUqPSAgXRcORh3OzdImx0HOOX9etZx5A1aAfG8ZzmSBi+uRkr67JkVDUSo/Eo8kL6ZXg2GiG1pheaoRnvzczizDeLTuxLic5ewG7lKzNYCdSkzrTIoPG6oN7XsW/s3RwMMcmQef8aoqDWDxaJtrGy/Fi9b0pS+7XsvbwfAJRjx7E/u258u71Cbg2JOIy1lgJsjHJULNs6jEs9ymkufNL2zjBaIlnYt4cN92czrEQoGwxwpsMGAKtjM0xuy8Ug88pcC5LYYiFmu0cUEnFh2HXsvrEVtdzF4x033i6gLJn3OHYvo2H3qCzvmtPYpZY3SEmgsva7vH9CBuM4do1I9tpr1rnk3qeGUgpK+TK27QHr+oB1PQvmSEhjk//KcPRFO0R47bY05HXOm4kpVlEhimNr1M7RSHdHgypewoLZoazD3FAKaGBSHmkUgp1sQhbGyjdgv4PBTv8PGPxVDMNSD4WsLUN00vulSdTRjGVT5gBonz/4uM9RajHIDvAT4+H1A9ZtcUXGjlrW3EuaVCH+yGsOLHcZx24QkT7pDYaz6GZUFA45G47zJn9lZM5CDhjzPNbbinIUyXGxdfySwmbPcGHUvm/N3829mnBD0+Y2ABgR0NwGxSWdraA4Pg7xdxRuXysmJ2stPpdak2g/TakBABwCLddrAyFCSklh2qJkWT76AIULgjMy8AmDcljb6pm29RzfazaCo1Mr9o3doxuS4/yO8oim+8T3thwkwvXvPl6TQhvZJ5H4FOXsDLXsECdSxdIVWeZgrEi0LK7lbKyXWaLWhVnJ5xYdy4KcFmzbI1otaBo9ZGY0rqc+M6eXpVdY7UyLMM7y3/uZhJnWSCRqBSIpUHQY2rullHHbHoOiX7GrcrPvdzw8vEatBcuy4fHxA0fdmKHNwTEzNFIn1iQ+IiusPFNQyMI6nI/7SoZmHHP7vwTUiOgU6iyxuRucD++zwclBpsk7ng0MIgxBBDuPss4L+/xJ732hgM+yLBzsz8KMIcpJJKkqniMZ9ZdEoDU7okjKPsCNPaCjq4b630Reb7CVikY959Ges9XOUtpqRT3kutwa1tuGTVEVZmgaamZXJ7WsOdVHVE7H+qDMjMS9DrA5KGnaT3rJKtFnr+Rnzsmd3Jbvb+8TUYBdd54jyRpcafp7w2DYxbnSZZbOnRf0BIKiPwBkJBBWNBY4bUSjyLuF8yKyRfMppwuHeaP/BYOd1BlsRqoFjiySOZQ58vcZnQDzO5meOujPqc8tvxxZgCoY1om0b7nvJ1l2sxgc6XuRnLNsK26vGPXLBaUUHMeOL3357+B+F24R2WOaoiw7EkHmmDCJn2pPVyOoezd5906RzZQzODG2W/e2LkqGcjxXZ6q6mnwW+o91sU5Rypw8wvk2HTYKGFEYxDsST6IwQaIhBaAT/kxKICuls4W7uTbs+64sfzIw0jrNMEMw0TZYKS1YlgXLcgs5Th0OkJRN9n4vTnQzvltg8iJCrQeenz/Cw+01Hh4/ALfm5VWATnJAJJCrFIx6Spo0PhmP8hzplIFyGrfgIbPncWUmBUhD8OB0jzYL6U1ro8AK1z4tTGWmtcT+S6M4KF45r+DVkt0XlCLOD4lgZmHw1dUs0LJntFaxbY8OGxOlY++5dsyDl2lZFpByf9dWwnP08WRm3N/c8fD6hmUbyYGMIKsVeadahETIvktLclbYIfqlzHZxwzPinpcMvLOCf+2tjCyglBLWm0RP72+k7mst7WWUgeZtcmMpmfEeKmDRaWJ/D3Ndv4vjRURuiAIYWZvDObMSMNzTNxoejCJS2OVxdEIYKzLdjopkCpGuNcn9rL5eyDc8cjhaWrJu0mIYNWZwZZdTvUi69QOHSGgwEMOanOdZlP8vzlu9L9NIyz+PBQBX7AC4zBsVpFE+GLzrRCo0OQHcQ92aK1Rei0+Pa1DUQoL2kxICGVS3af7awUO/yB5ge1TycTE4FBGhFAI2qGOher6mRSON1Ac4sG2PYV+xCEMGmiFNCK1WMBoICp/LcEPUy6J4H1tNTYuwGHx0FdknWqjmsu/+u43Lvid3yBERHh9Ja0Z3KKTPozTN6+7TGOY6iMABsjc7rmdCIB/vafzn367mpv1ufA8WRTixl77nzXUjY1iN64gU8lfbiN54y3Vim3M646BfjUv/d7q4/AfZR63ZGnbHRFy3WlN43qfyunRDs10ZmtB1oNGkBWCVv3npfCOtNtR7kX6JMkjXaCkFD9sDUmU0dEO4lYqyF0lb2NZhvzajMPafKVgSxBCHYQpR1aG/Gd3wj9H/nKQueRN5buMylFdR2DIzhrxNRrDfkunv47i5URT2L9chA7ItfrZxTQmCEiEGVQKWomy//dkBRRoYJBY9+g3GqT+6o633o9sLRKDESK3XePf3oEgY1ecu8Qijtlx36B7b+/qlKGYwwtVBLX8GPeKC1G6G8UcHb16EzXd9XvHmzZfw5s2XcH/+GI0rEgIBaQiUMRoSTfwujR2FZ331rlDad6qzSYmEqTUn7E+7EEesWSBWtRtJ8XhTbIy5yiM/HJKLuU86kNTHuUrmBjAIwqhgvfjck6Epm3fPmYuKjK12IqDUin3f3YCRc0fPr5V5McXHvAiJsubJmDdqCc8qA78sm2/+nmeYe5RSIp/i7Sj1wH1/Ql6k3iRpzqArG5QlhK7PsN42rA+rRMVCxNEL59KosA0RmDDZo4HYTVOrmzoOXcqEWnSiqmekHGWIhr6kcA5wA3khMTqDwp6WjKyKtN80r1jXDfuuyc8pIy8r1vU25CnFdwYUx96KF7xNOWOBkDs1zRWLUUzplwULbT2aQAQrXWCCZL8fuD2It6kbKgBxNDhZYaiqCJqnUTco8zxZTbNyFCzQAum6EUSle/YYRAW/f9fHyj7HHI+8ZKy3DeWQ3BJJOB/7zy7A/eNgCLxPLcoLIMzxuWYs0A1Mz92bminIbXQiyXVfjh7304VhsVZG3cuwhpoS/eDom5SNS6tibKVksKqEi6UnTpTSn00UNnZZHHrFZbrJJQxz7Dry+JUM0auHEuOnl4gBYlRrNBLi36PnO+Cx0tjPNL2by0DqcdH5scxYs/q/7sDr/sexWV+xzA2D8hH1aGluE5md9Z/+f7+/wb7fdW9IyvSaIY6uAtvOJQLZDTPpG8sDLadoZwsEczktaCwMnpQF/ZHTIgYfVxxl9/IpzKwpHaxRzs5YC24oKeP5+WMAwMPDa1diBIl/HoPhm9nq9K87Smlulj88zwm7fjz/dO60Boe1GBS8yED8vjZ7ddcTcDZibE3a595/3ZlkzY21gIq42oTmoEE/t8sZeSaNTposLV1xttaCrLDr9OccDau8LcN7S3qXrFOeDOrozI99captzYKScNRdVeehEWYmQikVXkZFr52RfB0NOZip5xMzq4NrSQPbPTeSGpiBqMfXymRgM2vKhzvrxGHedcO+p8TxiE4XWJ/q5yGVgiXokrIw/59KRdk50bDi0eB03QQApQWVzEgKJI1Za15ezNF+m2l+JRrkD+u+Kc/fU1bkZNlHEicNJOm+wh29cnr2eHqQSabzSzWesGfYdczIP/dU4HAY9eNZjzbUoBCbZjw9feRBEYH69iobUdadHBStgWhRw1SZy8u4pj5pe6c6m0RSl+XYJWK0LosyN3YWxUFRSgQjEDDBM7548kUyQGqBvuDDxmabl4X8o6E5brTdDxMH1xa1CM6eoBs7n4hw7AX7890NPlcUPT+zG3tEJMQySlrjeZPhmhbBbLWg1MMN0yVT8F5XtCb1Hr1+pDKl0pFd+QDgsNpObtMcfiuMVJLsi1CSxKAyL9VJM0Nz9gzaYrWSJ+kiH5SbRkbMcFeCGblm36DeRuYXYQRmdFEC4Km9FuHbBr2llAPL0jQhenFoWoTVynhVMHfIYWs0bCQpLVio/+7w6Ekp3bZN+/liwysN9+cdpFDFuXm+cmtYaBGDsjaBM7bgwZo2NoMG5VXOqVoMfoaSxRYvY59NAWiVnfxA8jalb4V+XQXYUXQzzBfX5kHhfN/avAGT7VWtOwGGKCZwaWjaBm/jDECiwpOSRaSG6hKuZ7+DwaW68T+MKzqRUwplnsSBkByaCwB8FFHaBgKpeDty4oTGvaaXbXRX4yxR+/E9rv4P+pg8tc/HaCiOysMVS158VgCjcmb5Q2mEecfjL1/8+gYQjzZGRQSmTLQwDi8Y0eE2Il+EKMj/zlbPzRQ+Y8i2vyVvU2RbUfjz5jmT4DTAFuMelpI4O80Z2uWg3l/3sZTEGbmQGbHCbHuU3Z2l5lyzvo7oEetnU6ishue+P2FZNkd5MIuK2VpDakIq50pg63tILItifTuvxfi+5ty0v08GQZyDQVbGuXVSunSdO2NbGPf3tXlddCWhYXWizDqCGaJzMwNkNkIRI5pxE5rOtTaunfM6urrvUKfS1gBZoCOBiZFM10zksjjKIAtIAKqiRD4JbmBqw/oaqhcYQsz02vDO5li2XHfnZ1i6blBLA5GUt4pOZNfJ9JmtD4+9dP1sJQA9QCCpMdp3HjkLnWeBGoM+F0PjRe4Q7/X+HGEP6M6wflkzcG1teb4zw8d9HkMbdkcLMju01JByQqaojx7LbrVQDkcNPinfBCDxYHyLT3TMvZdx6vpQQkdLGJkRhfed52gzBCTTQIwVkYD2jqfzJwdZdGRFtEq8n7xg+NJSbZTMUeZJwrpuHiSRvpG8TFgpLI9wZp2vAuEeDFFDoOBlZ/hX294pspnVy9FKw/aoSrcrvu1kgYPIFwA3dlZF+52ZncXJGQ19ckbPVlDQIsTjAh4xPPME+bA8J0AiZa1IJCdeQwzN3T1lNK4qZ4Q0YxE0KXl5QUUZJqpDaPOCpKVRIsRz3580YieU98uyaS5mUvKF7BPxfn+DWg5nqi3lGPrcYJ1ybzg5A1JSZXlU6qIHa97Qrb/dmy8njH1qhDJlZFyLyfWzEI7Xj88AdOV2MPJVObNFZQunlU6WsiwbjuOOfX9GJPGBLjrPgVKsui0yGweiXeG1Y6K0kbNki5BnLbDMjLIfngNhHlRA6hSlnLCsY229+M4mlA0uY55M4mvhduzyXV4XLJoU3smRxqGJ4z/cOwjDuQiy1fGyWpteg9GvO+VOhXPf12bzlpMpr9AdVd/ZYDnRLpqNUKisU8Xajc40zgWbR3lJ4KJKn97/OKTUCWDzRJ7FCHW4MQrHtZDBLI6D6H2Ny5sbo6KvfWDyolJ3FDW0XrOuqkc9NUerxHUeZfbQjxw32AsDMPRVvOblZhuuGzfrOJ8HQ55Gg3gYl6v5y31tXMkokMK+9DuvS2uOT1POpsuaEmb1pyklZBJD0+ZSSpsrArUWpazfkfOCbXuQ8QjOT2gtgr7XdGIg5gO1HKiteB1MUTbH/jdnZ3Ej0/bcnqtufSGlWbqzCUBwtAqrt5VKaWUTlEdjVQI1SnUyOLRb7e/WGZO78wHIaT7vDEufFcR5Hr407ubUk+/J63tG/cBI/t63ZmzvPocz3JmZJh0KQR6eHACWYsETUZjt/Wbh4Suvf+C8txAZP0f/mxKdyg05a2sgUctrMAo0XWfOozf9MOarRePPdJ14H5urYhT2Z0+Wpw0x5kkdujhmJ1lCJAqK71xLRdoCS3SQyc4EPxgtL/Rl0Jnj96QOnSiPo2N0bsNccB0d4RnkJ3usnq4zjqm/Z9D3QRpsQAOBFd2m0cF6Xrfx/0TJc0dZZbcZf92uwHAeIAZmWqxPx9QhShA4LyD0iKQm67gN9L3F3gXBMdVElnifq45oTn15hh60iHtN36/g1xB7qTnJlKM2Uy9/9ZnP/DL8wi/8rHLMKPqEmzofrcJDU0I/TfHgUc5F2f4u7Z2MzWVbUfbDacGbCud6XIdbzUBg1nqVYQHPCkoCZLEGQ9Pue7VQPgkd+awAOTtZ+J1IGBeP++G1LuP9rNnzLsvtdN2+mSVNwhYyBvMaWyLucdxD7TODTrbOalsL9tbrWVkk1fIS9/0ZR9nxAX2D1JOknstnymirFdWhEkAiMfYph0LWk7IWN2P3aCEoT6cNWsbV4aFBSMWacsAoqOLCusqLuWKmNOpogpLlxJwGZoe0CukFY1tvaFxRSgG3ql4e9fT4OUmZgWVZHMcdy7JgXR/6cyoEevaAxvXgTMcB2lH2A8uaO927CyKD2TRhF9PxSosQGFxtwvZd0XW2bCvWm9QCM3Ih7aazMIzjNfQZlDyGYAQFBpmpWpg6Es1QhLzbvA8G6fvcBsOnjXLLW4TRtnmdcDdMJ+Ut/qY30U3XIg3mrYfmHkrk0WpAymYh+fIS+TdojTLU8TQPwvgZqyEwEmRYbn3T75uucWeyXSQqRwE5EfskykRfOxcy3G5+Yn28uOa8LoaC5JM+PDsI7fyoAMZjZ+M4fj8/z9x6iSAK63D0pEdnQ8rigOJAPJQXBmBkQQ0Lb7hpbbX7/oSUnsBspEGRuMIUz4zUxClgTkljl4XuMfB9Sxi5e+Tz8PqeRpdPkFquAt9dYGQi5kz1fDVuID3OcoBiXx7HAaTOWJ6mfd+Ur7l/bShmJ8UJuggMf1+N0ZWTcx7T+EzmBKzlZfju+9asxNjQH63rabOjxue0HZdpEDLDWE79/5KzZ/g+pOlEWXE6BspjEOSnyK5uX6SUHCkV9b8YzXPmdTU0B5ReCzIiRB7j/LVao3Z/d/jontlKRUGvtS4M8IL6IxJGUc9VNqceW24oI2Gc46RrypBoROTGqjd1es669DCOWdhITzwDOQERxkmjId1luuimNj79dwz3tHsxa2S8+QI/WagEAhPg0lQjj7JfiSEp+ZE0yQaActhLGACj54eq3UfoBqmcJ+Mktorss2IYwisEEJHModYkzxPnsoBDH8S5qDw2AqVNbreQ7d2D3AtGdYIHtlB7OTo3NFNHI5ZDy5fk1QnbvvjFv+1G42CjDCRH7PrHZXtHg/NTG5vbo+ZqGIzInseUqCRlKmxCW702QD33U07nWHftLIyuBrOXJ8Fw/NWxsdTJsMjs87QB1VKlFIoZbZTRuBtxNjFm9te4UY05ndnrQR5Hz/2s5fBnqrUCfIBSxrLeFBZbkZdVYbXikaj1jtYatq3fZ9+f8PSU8erV12FdV1Ewq+TOJgYOKqCUUOkMnY0lOq6ULKAbf36cJn3HXKhW25iAnqjjvEtYEFExJEDYGuH3Pxn0jbtnNSVwFlJn0nsadCVnaC5jxr4/IaUFty2jtqIsjqEmHSX/2zzvOZSQGX47dizrpgZdwN4DQ/8RCawckIh43MwAMQ63h20o8xN/t8/NMfdpKOVy1TetqSG7rU5XvZtQCZDyeNrJ4Ij9TN3YTwrlqYeQF9Qg2OTVDJLdwNM6fJ+aK1iTwhXbvEnEEihpyd07PCu6tl5O+S7dgEyZwEjgVh2uDe4RLVMOa+nsy3lJqtSLA6iW5gaHzW8AyEs3uogsh17zYrIQ2Ij8DikS5r3vby8QXVvDrbni1O93FUnsH95mAMx7wryu4rFX42E3ovAs/pMpi42H+/l9gsIgSgaD65hzi6TKzfT8QnB3QebQTOllVMDhzU0jQfJMAnM2bzrRI4yEjCgpSV2I3Fl1dQAMyWMyyKv8k7Hfttupv5ilDtsMsTWj1DzhRKSln8TIJGju+rL6XmeecgaD9BnWVe4p7Jy1OzdVsbP5cqmwTeMZ99hax3eIx77NWTC3cc8OyldtKHvBeut1nInI04T4bXkgX8Mt1hX/alqchxEmG50tRMFp/IJC/bY2O4FiRA+1/26BDj8+6CNi0Cm535TnGctGMQuZYUco2Nw2BT3o3ZpKYSXDWupstAAUVaKWTXyX2sApYbutri+bc7eUqgGJHjnreZ1iSFAy4xRuZEQ2XSKMDs9gaM7GplxfZWlAaCCyv7r87jBbE48iDwT277I2Ogcu0ksGQyrkaYZOGvRnwBzi3XDr+4elTRh02Y5XI9OO0cjmEI2e5p/NmZTFyPXHMbmdgVZ1ONWRoQmbfp2o49oe0u2IrptZDq4bnH7N/kyxqoMRmcbcybimpC9FzqYlY9VrvHr1GZSy46OPfr6/o9oNMYfTDHrmjuowfeddmWiBd4xsxihWJ/zpD0mtKzIpd1iAKVE2CDGBdhA6JlxeMED7YeyeLQA91y8cb+dED9ZsIFJOQKs47gf2p3uANGawCggzLLbtBqGYD4M1GJ0C1YxFU81bXEqv/WRkDAZ3tfSRlBJKYZjLxVnQwvsY5tqeqZSCp6cvg/kD3G43AIsX604anbBInkxkFUb5BQM9LJJ5s045MHTRXJNKRmHu735dH97BEGqNB/iIkzJwEDDSG57vIII2ea1OX9TplZNXWC1UOT7B2IDN0yMJ1JvXjRPFiv2YlMTgBIBlE9a6lFMv32Jjksjr3eXMvoHZRsDMKHvBsvVogPWHefpSkg0r9lNsUUmksAFZRHVRJrv9foBbIFR5ycDk8TOFL6zumEU2r+bIrLS+r83erdV2isrHFtfJLBPi761xH48J1uTXRt88WRUkm1OxqLevlarea/WKt9YujTiipNAdu74iH0oDlGcwLwmtivJWNVWCjMQKcJgYkRxLymxrG96lPL9oM2V/VIRiyaz596tzLn5QDUWdYmGezrVkgQ51u3S4UYfjRXnoY20RuZA6IvchGESfODn8eTZs4nvIefn0+8Ir2nbTfXPDvj/rXKgqD6FGaOlcAWYY0jo89/3+Bvv9GZQStvVBHRLHBLNOaFzcaI3fd8Mr5n82kKJCWmsO1XXiOTTJqQ9QQJPJRrph1xK9YISUeV8Hx7Rd46rFfdmfPdFpjGO/+330mFrEQegKn+ouROS8CO9bs/cc9qigBPf8TQCBTRToDgRgNhDlqFPO5nTfuP4Rj7fn0LU4G5NEHekzOAwGnSUPqInW2HXFOAecNV8NTYPGxmvlLNDHSDbjeiiJA0ocSuQso2Z4xbm83pQYstQepXLd7qwXi55Xsd5WX1fRwBlSGaKBoHreLCv9/EQeoZvXAwCw6dcW+QxQVjcmLwxNCs9DJBG6YcyD3pjCWJ/Zd6fGZ0eF83wktm1ses8LFNFFk/mvBiyHYwnAdIqPfyLAjO9gi8TnNzLLGY5PljJlfedoRCNc62krfrzN2SSQX5+Dlo5heihLPv3r11+PfX9GOXYwS4oeMyuhqToAB9Orl/GRv99dv/vUxmbZD1800esyWOVLBmpD2pKzbsU8zShw5sgZEL0Y3UNgHgPPH3ph44jFvj2/btjgeifO7yWER0AsbC2LJWNZFs9ZYW5oFWjciYO6x0AEjHiLD88FlByqpUdKNUmVQFiXTZXE4LnQ667rNhhKTiVPGRFOVcqBuzIAruuGdV37JNX+S0ty5t2hvwfh1s95yRtm4zcIsEQa1ZHVHmm0L41ONXhb6xHCYRHWCdMP8S7J6wozp0QKqENQOYFz7ixtHo0RBagqKVMiiXrisHmyCgxZI8itFqQsdP8pC8lG2UVALtsqhnGdjAmdx+vDilzzqY/KUZAyIa+Le6hEVgWBaZ9zApkRgRF6PPen5FTK9fK6YEuE4/kQyGMoHdQNdui869eze/RyOQLPzUvuOYPMDqny84hcAXyfDU6gez4pk2+IZtPI/30jsb/Jck0CrDYumdnAciZvg2ErikCQD2ogIswrZhhzlrMbuiEpD+j5Qer4AE8KVmUAqlTVilbI14w7ddBggQlJnbAckXR6F/t8pbiQeplB3UCNjq2XHFwvfTf8HYwQN14CK+T8jPL7hUI7NTOinWyC6MSCaXKTgvNO+q7Xw5N11Mfb6OWZGQgKBaDrnRncCIuSiCxtc0OHKGkKxuF7jzyPcCaknJHzojlMGVZGxca0cQOXUG6LNMro/WxkRPLsFvXs/SFzW5xz6hRNDRJFXft+kzqklqDRpxAtvFJk5Psz4mWQQS84Sef20nzSVx7m3Gy41qPg6aMnrNsyyPG3EVZ9rbcRMfDVyfRZ8bfvDKYobTQ0r8bjpJO0Hl2x381gjPKEGYPzLV6L0dN4RtlhSA5dq6UK4Y7fu/neaTIwh4iq7cuxLBQAZ4qXi56dZfFfa024HNgilh1RZfuMOX3tWazWdl6SR1VNlsoDqDGoqMNo5M6OFw/QqC6WKBhY1vctrD0j7Qo6ohm1BouXoA27ETrL9zjWpi8OOhRZ+pfCkanLiNN8MV2TulymebqSGJo2JgSCHBT2Gnv2aCSyBUsMRwd1pDRwI7ARDXn5mL63DUZqGHspMXV2Mto8tRvb+7bWwhyyaDJ1R7SuJYmUS9/nJQ8OkIVXgB/x4YffiC9+8Wfke7DruFhvqlN0BAupnWbQXZPT79I+tbF5VXfPaHKtEZEWDO/MhgBcETJFafZuxzYrAlcbR/wcvZ+uYEy5BsP1CQDI4YKRCCUacUTkMFiZBAYpTFjSJoLOCSmEge/+/LGy/EkJFLDCP4nQoFExF5imACYlmwj5jgpZWtdeHmXs9wpA8jiJEvbjjqPseHz8AK8++BD5IkehM69OHqzQv3Obi8lGLVsWmf6uUAFqfUFHgzf+H3MSolfUjslLPtNmkyx4UmFQ1WC3yESrVaIupiRRBVoDVTGglmVViPExMNSa8mzvYZFbIRQSqBgz4zgO1NqwPWzO0imb4EgA5EQrrc9Jbg33px23sNmkyd3nhl9Kp7G4+hyVsOP5AK/CaHt7ddOyJYFYyTadPHpFASh0lgZFIGfxzt5e3fx5Iq06wrnva7uSNWZYyNz1bgjnhPPCRgQgeLvHNTcLdevT2irq0TxSxbV1JcHyQHLuedFRKa69UH1ehHxCGIiby17LySyH1NKyd7XccjN0zPhMKSHBcvD1lVI3Omcj076bO2iuozlHMofakZNBG1CjMCee5O+EtRSU2vhcV8qzP6/lVpqXvI2bespwuRfZaXtuWFesT0YtkRq+/bu2F5dznBKoVnFgJXW+pYS8ynjlnIHbBtpVIeWqhqbkFxkxmrWUEpa8er5lZQarMiFlnmQfsNImRjxnfRqZIa3Wp+194qxLbnDKbw21SSFxgirBEEbEXrswo9aCclQsG3VjxPfvyTGhzshZ0ewOYL13iLrZXHmrQRjuZ9frgzKuw7J3Bt7BafEWveVrueVVIoDmlEiawy9w8VHPQlDPuwwTxZiIfE8f1sJXkg12WIymYuzvYX6w8DbEQIcjjpKU5wPG9C2TC5kY5bB85T5fJH2mqkwKe3HkaVAd0NMQwh7ocmb6DtBrpU5yuGwrQISqjkK7X0NzQ1Lu0/vOZMmy9PqaKaXOARCPC2SK4zNO/U3dYSZGo+oowEkWcjCmbSzN0DTW3yv5N7c+B+xvYDDGSAIqhl11B9PkBBG5pM5UhfO67q6kRw4rJkMlNDXCcTJS+/Qme/v+SHpOq/KLxD1GWdNV43HduOEPjw1IvyUClzYE7FwvsCGdgjhzxQ+O8k71tOxkcyseHz/Acdzx5s2X3JDl3INj8R/UYU2kukJ4h0/bPrWxOW/YtXaMuy0087Kb0LDFPnue5uvK+R2HfaXIuucneE9GD7ct7FHBGIzOEN6uR8FVHRlmxrrGepfT4grXTpSxH8/ibS4HarM6SgkIkBv3pAVYZ86L52iCSPMNya/BYJRSVPHrBcDlHaXsSS2HEw0Z5Xx+WvHw6hHbbe25QVULvCa4MIxKXfQkDt7kc+doP5oiQRCjVye9GY614bu+46/h9vDseVNxLBqzIz6CrdnzgBEWPyDjppCEVjnkzghUq9URY245kgJLYBcEUhYmlkQxyFlWAz4YjmlxpVui8zJmy5ax3tRzP3F1KDBieCaf7pSwPd4AFoKV/XiFv/lTv8oFfr8vgUPywLxmZuOdAvRj3ZYOAZscQfK8Xbi01oayMtaOXUqe3B9vqEVr9KV82qje5xZlx+BhD1Dul86zzfNSqX3hHibb3AlTBT6LYdwh878YSdTS0xMQ5F8oVcNAh1mpo8Bks7FuAzEnJ8LS07Bu+3Oo0pTPc9I+z3pm1NGvHYDk/XrlFX8rAVDvUFcoY/Q0KgFXyu7sye+X61ESzO+feg3Qfq2eSvJSzVVz/ngtO2i6SZL1SlXKgvQxCEp7Y2zbI4gkfaKUe7huUtnW3LgEpPYmc0Iph47nCubd2WndyZAWMYpT6jWKW8NRhGvA50ZgGo2pCdyalPQ6Eh5ur8V7rv3fUgIaoR4Fy5q9JNZLzWTUUEt4GOZROYMSI33FphNhJEk7O6LFwVI9wmslK15yyL4Pbd1WrTRguos0T1OZs5NDKo7Xj70ow+OVBiaY7UvtSrmNa9mPQ5S1GK49OMindZ1y8pJeEbJtzo/ujO/vIYz3EAMupM3EaKs9S/L8yZ4SYO8g7PSLlKRKhHVbh/dqtSI1crb7pkiFKLMkbxMn410eSK+Vz3PUuu5y/kZ9QmVoSvAcV3cQGqJrKt01OvbCWAaH7GmcEgaOg+EY5kCuBjcKmQEpS4JueDI6xN4ctojPQ6itp/C5wfmWZulwzCPaMPa11L6+lh/21UCqabKHu2yLusW8B32ldWI3aVXSNlJKsm/Ye+eEzIzWVnzwwTfg2J/VASm6xnHskCBX51/hEKCw9q5ojnfK2bT/meGRQSBGzqKhqUmn7jmNk082CaSL65/w4N2TKSFm4Erwu1CavOd2vzh4dSp5kpYMPsQA2bbN8+na0WGyRhtv1PClHk4Vb8+b8xJyVmxDli43giBhRrWIQXaDRyb5BmMJtHdIlKUukwsCYbc99rtfUzzlq+YfFtSjgjepnZYCUdPc1/Z5NnheUszmeQCo9w1jBJQT4fHxjo/ffDhIHMnRTD4/7L4i0Mjzf3myNt3oZ+6LgxnGktgUbujfVxYho9AOnhwewsAo0NoOkxbvrOUrERHW9cGVw26IEraHFetNIgqNO016V0qAUrRcRZjO611qzwHAhx++Cf1/hpy81PdWd2sW9oBsEClrxBUC4a1HHQSc9UGXiuM9yl6wP+3IS8ZnvvFDPLx6UA+qwU7kHG4sJTHezfn1S7IZCywyxNtnOWjRAJrkS/8uOixGo2MeYzMsLTov9w5KlypM3LhHqzVPpwVjyJ9JYT4uj3P3bEvxcIH5l72MxC3MaFaHcxH2xo6EMMVGFceUBAJu6/8TRHtMCYvw+ZPz5CTXbUx6/w3H+INRkCXzz2dld1CYojKM8R5RWRBHWcitMrbJaPSTQKcoAdQsAhEg2FmI9KJCa+MYnXcGmxZIneR8U07I62u00nAc4riyfUiU64r9uPt7HvpZ0gh0r0mLEt9VJaGrwAJkVQ1S6rwDRgZkCpwRB0VFn7Tv7T3ysqKxODfNKACzOqebvmN2iGDXcfs88zGaHM/3N3c8ffwGYMarDz9wZwmzIDL2Xf7etg37vns/3B4f8PzmY9xuj6i14X5/A2bGsizY97tHAKRcgKRebNuj7jEVy7Igrz2d5n1rVg81Lxn1KH0fC/nIQFSuz87QWX/wz+l6fb+05w3X4F42Lt7H9IwBPQcMfBl27+jcaKUOMNr4PHJ9jHBZCoakdUTu782NkVfVN0M00VMX0I1E08UM+bdsC/KaXTc5mB0+a/mU1maZZnJuNPTo3Mdzqto0TtEIj014CubxSt7XrHtih+picEgQAdB1zWCB6iKONaERK+QXw3kMNS5NbQwO+/5eco3wIvpuHXlj6MZ+iOaKI50JiqJ90ABKjBHlGHf12Bg4IVq4P5vZtqqTDvoXuu7NzAPvgR8z5cr6ekzJ+TmGEj1V5w4LqWZuMtdef/D1QhZk8luRL3Jfq72ZUEvDekOHGL+wNr/a9qmNTXlh+Z8ZQ24PIB70aGha7c2ojLrBqZ3rtNkv3q8br7OlP3sADJ5DpLCzHLz1AS5h5Bfdk97x/ZTFQDEF3QxN9wJAjMZjv6O2DrXhIBS7gKrq+e0QuF63bOm5qGqYCq6cnM0sCmOb+Ab7BFTpSwuA4tfLXqaj5yakNDGWhb71Pp5W/EvR49NEgCyr5AK4e2gE1hoFm8L6KGG5daFAJEKLW0PZrZSDLNhoeJogshNFLato6g20UinqDMOSszDFgcCp51tZn6e0wFgRY2TH8plkzjW0ljquXY2JUiqAXWC1KaHRaEgwK8ETj+VgylG0PEUQKJg2OKMjD2Nk+ak2lr28DavxXDvJQWMsa5Yc0yyb2bHXIVl9GErbZ8KGVWtFuR8oRycJirapwTspwOXexzZ6vc+RL+BlZwzAHVIV+3z6znLQLa+yKgOtKTOavikGZiJkS+wPeb15gJsZwZjW8mKAFsGgShkgk0EEIZgRp0hRlMqKBSmzEKSZ/FBvu0FwY57x/N6msA2CH105mjexqDBeORHnezjTfjo70a7PmR7l9LwRHh02bsBlGdCNzlE51fdRaJ8MQ8/BImInVrPfmNlZa23dR9SOy0VTLIiQV0LWmmjcWNIEsEnNywrfn0rRyGZehveU8lcVKa1IywpUU+QTjHCO+YCVgvL3xWgU5NBvlucOlZkSFX3w+xrcVpwWnZyCQj7noDCG8QIwkMBZSynhn/znfgeO5x1/4Pf+G/i+3/D9+KHf9kP4yb/yU/iR/+sP43f+8/9t3O87/uDv/QP4bf/Ufwmf/dXfjj/zo38ef/Rf+3/gd/6e340/8n/8wwCAf+Z/+s/ift/x+/+F/xN+62//h/Ef/Jv/Hrbtht/5z/8ufPylj/Fv/+/+7/6MxgKc13dSnX7JN/fZ5A4dNmhnbFcGTooohzkafWUETf/HcwfDKKDURkX8rJvkEGSIv9v/xqotx2YB9bTa55nJFiIQ9bw+n6OqVxrMOC/ZoaNmaOYl+7/YX5LT2fdukO3lyZmA4/NWjeq7Ied6QHcOGheHyOWxH2NqzNy3c7+d+1ZzZGfdT417Zjg5nOu+VoKp25L+N7nVOO8XAKdetz7Z+0OjbKxC2RBjFrrk7uiKxjKDNS2TlNmfOkyaxIAlUw7jszCDSdA3bp9of3Hrm0eaIvcZCa2S540COOUQz+UZvb8CJNaaEfjZHmGOEyMq9X1TDVjnN1GHtszXJOljOr+wAlQIrx4/g31/xr4/eX+YsRm6wdNYuPFlkOqTtneG0dpGGskS+sLEENH0SRGsbyuAG687Gzt2n8FD08JgYhRUs2fHvnNlUVukER4nAYHWjGNn91z7BpsXH4jn548RywnE57dz7HeLWpLluehn83LJNXoElLlhybchUhAjAHJdK+chrH/Lsmj+DrnBSZTVAy6TtR5FFNJg5Jz61rQtE0Yx/zX05axs+e/mxVNvTGuMHBh3AVnQeRFvXrLrUJ8bnLLUm1OGTGGOO3s07d7OwkUMammQH2nRyHHr78ahcL14JLMzK8tlGV4qhXnA5PeE8eh0qMCzGJyyxs8LMy8LuO2++QFAPSrWh63DMMLmJvMmgY2dVpV8y5WzZy+66bVSvQB1NIz2JhvreluxPW5IS5b6saUC6lE0wTqQcoW5IZGIMqzhCLe27/5eabIGzegcv3eFIEQyXxLUXN8CwwWDI8251WjVzcSK2lMipCZOlJQIyfKIFfnBTWpxGglV3atComXd2Lxp7qTo8q62Jg4cIuRVUB9pEcXIDFsr0zMbbL6Zh2bws6t3Flnzlfte+tbmaY/qD0yTdYThzs3JLKY9ok1zOCq4Pi5du/G8zQF6PF2j7x/oz9kYiXg0YI/JYLX7qyyJjthaqsgZQCOm/R3MQZaoR/qIep6mOZCWvABe4qmjkizCOUepE2VHNESYMyAK+7IsqvgK8sbI1gBgWZahr1urqMcI0yTqLJQu31TGOeFfcMTdXt1wf3PHj/2RH8M/9I//JvyqX/NZ/L7f87/HP/E//B343n/g+/BzP/UF/O2/9rfwPb/uV+Pf+Zf+EH7X/+x34//1f/t/4ld823fj137PZ/EXfu2vwl//838dtTb8/E//PL7pW34lvuvXfBb0hwi32yMoEf7V/8W/jPvzx/iWb/0sWuulZFqpzlD+vrVWqxtI9n9ENrzNsRaRaOZQ6v/GY+P/s944rstw/dPxwwMMe+fsVBrWMZvDWlpKCciqZyQSo8huHIxtaxZ94toATRdLy+KRTACeR28Ryqv90Qyq1hqWnBXpJetJnIHKm0AUdGgpp2UGheh7XU6l0Heiq6pzi0aZN+gYk4E7j1OjMQWOVMCTybYER7iQ2uTz/BjkWvhO+X28f2fHgM2d1jDAYwd4Lbr8NqeURPV0zqQ8OHk7azB5bVEp4Rh1X0wwXMHs9kgo+wTihoHJ+zT59BodyWO/d44QNzhDH0ulHhpTBRKBZNqhWiRf5/5chQNJHJmedw1gYWGnPUx+cWelZe6EdSPp3AupdJ+gvVOGe1z4MUEbUAXHqHtrPW3itinHKOXblJAoiBxC+9JzucDSv82LHupAMrOwzgaKb0rCEiqLUs41xUu8+RIduN/f4H5/455cVsMkQjwsPG0XMriRNStbMioxTWG3UoJjVnKsmcc5ac0oUTAyEmUseUXOK9Z1E8htil40eX6rhxl/i+M5dN7Qn0GIXS3cecw0uV1yuhLymrCscr/ttkifqkcurXlQREV450Aigi4ALjx1rt3q/XIm/5fUoKdF77Fk5HVFXqU25fIg/683NX6T5ah1KIx563s/yFyJMG1ujP15R2vQ++pYB/hFXtdh060a8TdDWhTYrjTnRVh119uGdVvdC3bsBcfzjrIfKPuBVuqVfPNxLEfB/c0d+/3AsmY8vH4QhkUdv9FTF4xO3TSqMvXFEig9r9DWc3t/DU5/Zwze1Cs2bDda5r6wv1P3tsulR2p9F+xtvKZt8OKpDjK2jHVyu7zssFljGTz2A/vzjnIUrXtYcBwFrRQ3NHu9zqRlmTTaV63UkEQ1lzUjb+O6uFL0SKHeNhdfMq7fqsgm/WcKjRm3ZuAFQ8/RFJMT01qa5Fl0XnUjZ4LpTQ6cecxj38c2QKB5fA4wI8LT7Jmj7ASR5nUZS/RXjvaeOi78JvJMUipAQipnTOnCRtidq6UcOI47WitdAUJCoqxlouSzX9t/W/Dw+IHXLZZX7d54u4eQslR3DFjXxM/ReWD9Gcf9B37Vd+G3/hO/BX/tP/2ruO8H1vWGj37+I7z+utf4bb/xh/Bf/a/9NvzEn/7LePXqM3i+73h8/BDf9xu/D3/4D/8JfO7Xfw7Pb57w93/nd+B7v++z+Ppv+bo4NPi+X/kr8dv/+/9NfPiZXwavH6rvUErFm6cvvTgOX8vN9CuLBLXJgTlHmGeI4lXzfXs6Lkaj+rF0Wl8xcmbfybON64lUb7A9zdQCa6023StHWdta6/wVpiPq3gyMUURz7DLb3pkcaWRkPS43uDvCDQUCu8ZESNSqHCew29G4zYuik9bszj2XC0M5lzYhQ879HCG3NjZRJnbH2Nh3rpvl5AGFkx4GYAAohAtFmQYzhLRfUhLnqbPyx2sGfd50PzaIDwAL0sTzok7KzI4O6v2hfWL7rtsirafNwExLzRknTPcdYdsUXvxqf7Dv573JjpkJ8+yzv7f/TaFP4p5BvtdGMig7v+uyCbfbIx4eXoucrwealkjsCFTpkzmf9F3aO+VsUk5CXmGLlyWvA+hKmCmk1uZw8aAQtCmxPPxtC8oNzb4z9eOnDjHorGP3Q6Th2IsnewM9v87LC1j0IDDa3p8k9NxhrJojJSEgMAuzH2uuX9BctE+6UhgVB9uwvV8pO+FPUiNHDMcIu1VWv7K7YbpuQmGc0zIkk5tg6/kD3Tu9rIsKmnSGVIZFcfJMJhq9PrkrZfNCt/GTsD4DJJCqlBMohOe5hoLIDGHRzQ3cHOzu+AbrWsvZ9QWhigpZxIlZT2Gg9Q2jK5p6fgJaSiAq4CzexVLrGfJYm/Z3ENDom0utDbTvSA8bKCVZxKWiLUCCss2tC9pRwobZBm8kEQnLrRsZkn/p0NiZnReXjrTTpt1aw/60g2vDetuEYdainEcJsHeNWrCsDzNw4yb9UvvFEEq/1No5qjWiJNzYUnkIdLHkuchGB+9Rw379roCPUbNSCph7jT9XfFYjYql9PQcFI0adWNdw1QL10fHHteE4CmCwTZ3TTTcqgz4OLRm5RXbI+dnRpPPxLUbReDwpJIuV9VBvNadUTPI0ng/ghMCIp9mYzRv/5XW4o23MKUCZBiZLew7Z+BloIzqEG0bvPRFgDJ1h74oshWlJyphNwQCTcxNMwT+X55BzMxafOrtEFtcNlLLmpO9griBaBVoLyd3c9yeUciDnRVhpLWeHFdUzMQLbvIqEQg76oE4kta4b8rJiyavT7BNZ+QhzpLZLplmfPxetO5ylX//qz/4sfv+/8PvxpS/9HH7Tb//N+J4f+F589nu/Az/+x34c//Yf/RNIS8a3/+pvx9/8y/85AODpzZfwuR/6HGqt+Oy3fgv+SF7w53/yb+LzP/oX8Nkf+G58+OoRX/+N34Snj9/gL/z0T+Hf+X3/Ft68+RK27QFSOkv26vv9Dfb9+fohv8ab9b0YlZ1FGDhH566W+OwQeZtzCcBJ8Y7XNufS1bUoQdcdXNY5o7JdO5PnAtagODOP72JrLSUC56Son9EAiy0tVoM7lNQwvcf27dSjVqTGVZTvUR7Zvpspq8LfDZDRUZZcj8trRwuYIWHRw+E5OBi7RMP4WHcKlJ9dxgxj0nrev9e3Ddw6JupjlNkMy6+UgmWyXkW0pD01oOk+68ehy0mRD1f6qj2URVeD4dqibjqOuQyHyFkCAaSOBPQ9UHJNDXloaEb0fUsRLjYPIHXgguFOqC3If9KofOv6hI93dGC/zWjNScqRmQ48rJOwDnXvYeu/nLBixQcffB2O4zlcM+xv8T50nbr4Sds7GJu6KXLPgYx5M848GzbGOQxvysXbPLV2rDUzav0hwu9nj0AfRKtXA6jQ8U20G5QGK7MFm5CQtoRSCu5Pz53UJ2C9bDBZI5WNJSRtuZl5WQcFMFHWYW9OU28kP0TnuozWaiuDkBAhJgRAImiy/y/CdNzYre+McKQRSy2drBj1nDo07aQ80qmPY98O3+fzWPgkbeyeIVZvi9Hnc2sYsq4JnndpX8glZfn3e4xeVtPrSBcYiMAsAjfB4KLTokzJc01bEugg14aFFB6Lblgi5cHItme190wk3q7jfiAtUrLGcfaZAJAa0dmV/Fa7xxxktfeSf1+LsCXHvhzfU/vF3k3zGl6KMu73w2G1qxJH7c87jv1wRbaW6hBvUmP3UGNl3iTNsJdN4P0zNm3TGIwE3Zi7MiBwnN4PgBgXOlbNHD+joRmby0cWOv4jLVjXZyRlJ221SlTR+n7rCkurtRtbFKA5rWE/7uByYMkkJTWK1Mus+44MIQ5Chm+synWFytWV+nVZkLcFt4cD6wOwbIyUG4iKR/D9Xf3/EY1Ci3yu9dbl2FQWQTzmDZFQY5D5fuBZAb0iMpDzx3VjRt9w/etLj99b+sYLc9wVsvk8l5UAFDbVIPVzB0p8mNII2QvQ91F79hhdtWd1p2VQJm0PEUerOBqP4wDz7kpyRNuMxl7S0lzye3K2dEPeJCewWtYNhQ+NfgLAgnV9EGeijSHIUT9Wk5Ob5MUJfLuh5RbmLPszzoZolGkf/fxH+OH/yx/Fut3wy7/ts/jX/5f/Gn7wt/4D+IP/6z+En/3pn8aP/7GCL/zMz+A7fvV340tf+jn8h3/gPwSD8cf/jT+Ov/j/+zP47Of+C/j4oy/iL/2pv4xWG/7Iv/Jv4Qs/+Zvwfb/x+/Bn/8Sfxef/o8/jN/wj/xD+4x/+//i8srE8jmfJkX0PWzkKtkdjMbdgwVscjY2djdb2xtPnruHrfxfRnXRxvLbZqWUoBw5ruacjTXDZRGMuJC6CHiZToY6mJV9WJ7A61EBn5xTDROem1jkcnjV3J3fYuIMhAI92yrslL1k1G4fugAvf5SypDJLnhw5fjtBadxShp0rFZvIkkZP+xf67rBeqz1JLHZ4RatDMY0FEJwPOgxQRQkroznfWagVIbnraNZm5c2+43pyV4wO6D4ojrhUh4kQzXVfnoc1Ri1wyQL2Q++Bs9b1bdVaQGYwY5IMb4yAgsByfCLYANzgHfTrob93kZoX6jvaTfbY+mEnUZE+kwKVCoEqoALbtEY+PH+Dp6SPRwX0vEO4T5p64+osR3fz0xmYyo1KjOdTDwDIJaqBLJofUzovnq7mHKRFfjXUdE6mBEf5gz1v2Y8iVEZYyHhdFIiCJ0lePDof1a5nQkC+cUdZKnlhpjNaaeHnz6lBMG7hBECB5+RO7h0U2mRtK2ZHTgmXdXLkzEoZlyb54OvGNQkCXMaQe+8I+mzEGGok75tbXcH9u+3sYAyJfuP1vcqw59HOKifPJMp01Slq6ktWVPJfTMO+keHQwjI+1DrtRaKpHTcOxLvjhczjVhpYaau4eUYnEynsMkPAwDSy5vbaG+lyBVHB7dfOIlwnZlAjrmlGqba4ieNZtGTYqc4jUet7o+9Q7b8zzWJwjc7JBtNrQtgXrw4aH1zfkNeP+5o7j3pUoo1w/9iI08YGBzr1wk4D7e6GZohP7v5dFgv/f5c7V/n5W9H0TbQ1f/NI3KpFFLH/RGQrNG27yyBk9U6fkf/74Gc9vnvsz6wbdWsPxfAhJlXrpW209x4jEQWLOlmXJuL264eF4wHrfsN5Wf448ed+N3MjkibVRXpjHFO7ksk6LhldXAq3P+3GmcM0QoyvZFR1uqhpOYxCPPZ0+jFV0OsCv1veOaEwaKiAlYQxGQPoQkRNBtKrGVahRPDt14rs4jK0170vKCamODKmWrmF9Y0Q+UvZk3POEiTDwCRCjtQInRAOBNXzBaCBIGZU4ZjkvWNfNFZTKUjLEHXT63EfZNS8NqGV1Vu7Y128bBwC4Pd7w5b/zZTx+8AAQ4XX+AJ//0c9jWRf8sm/95ShHxTd+87fgF37uF/Arvv278cWf+SK+7Tu/Bz//t38ev/I7vhsff/EjfPDhN+BP/3t/Gq1VfOM3/gp8/sf+rCv9/98f+Y9PazSlRUgBj/2dla9fqm17ELhmOQrSIo5IogzQqDMB5tyMawv9e4xreP7tqvXz4HP6LQfD1rHsm3Cjcix5EoIDiYAqBCym8w2O8ZAPx8Fg6jrPaMAB8O/iO8Ropz2Hya/ZGLZ3MSeOORRjFYLe78nf11uIoF7dt19jGjeg941bWtPY+H01mHnBRiyoNUlTkmsG40nDlRH95bLAvgODl4CM43E/yCDJb+cuZ80EiwgUe6/YtWnpZdrkWeQ+eWKSbsCAOjJYrqiP/XnMcEVXs/s7pR488/Gz/cmYdkNE2PuXLBAy5qr6sUSDnJ/738c4dVZa6ZuOBh0CQwnISqP86tXX4dh72SwrnSiyXwIdeSV3uL9LewdjUwajlipkBcFI8YiMemfysgA4P6iFtIdNddpg09LD5QYhdMX2anHYtYNRGzvp2A+hXFdMf8Rn+zPpRDyeJb+Jg3UvpUh6dCfCZsV7IcNIaQMRYV02pLx4gXQAniNjm7pcH7CIqW3wtRV/LhE8BTh6HxkRBOWE7bbi2AtYrLlBABJFWFb0vvR+ZrLlO5Jd9P6cFbK4mZgQezmadtW8DyAlBCTC2MsJSJ5PHxfx6nRFFRrNS4nE88VXkKzg6QeA1I+Jc27AuKcEShVUgIoVlITgatwk+jtwRYBZyP1qE7KVlAjrwzZ4N1uTZ140B9hyUwchNXX6PI9fUqqvWvSaxfOYGfv9QK0Ny7Z4lPOJnrA/7+6xtGOPvbjha/XUfCx1Dr2PzRwbzDysYwADeclMFmSt9/nbO8icKrVIxNtqrBJbPlA36jyHyrzr07prtWJX+SXPpmu6RgWmKx/2nubNt9ygV483GDuqHRPPi+Ruvs5UFliziN+wkU7943lGWrjc5beu+8HwtPXBPKBp7Plin/d5b9tF/2zP3too5/TSrvD6M0Z48ixnkjvDMV6se7QFWsbIiYECMDEqC05DlLnkjoZee876xWBuo8In9+4ebx8HAPv+7CQQRm7j8kn3q1olH7OiwMghYl9HpV3eu4F56nM0EGUsy4pte9DzcuinpsaK7Hc2H6Q/q8+vWAh+/j++m/V7XhKyooFEPqPnoRMh6ed1E1K/VVE+y7qobpFVgW5IVdbustx6xJd5yGO1NVSOHZLfVPA+tqT5uGDGsq1e0q7//rKT+W1/z+0lxTnu2VfHWlTTvyNBA3RyqfG6Ma/O8ifB7OQr9r3PcV17FjG06w01ldUhZPc0aGsPuIQoJPOg/dpcMuIgeSe9R2XkRXTTrgaQQ1TnPs0h0hr7Kv4DppSEqLvlvua/EpO8yU97hzhWw3ikbkgCCAaY/DUb+KYDMhjI8PJxItcs4KCaH0MhxgAT0JA6yZ7pvLYH9Fd1Hd6aEV5ZMwfh/5+8f+uRJFnSBLFPVM09sqpOzw4BggQILN8IggBf+P9/C7HYJ4JYcHdm+nRVZripCh/krqYWmafyLLorRgtZ7mFupqZXUfnkStYnO2s1aBClCZRsB0veTbArHjLtZIoMBPYbEyVrFfa22zm3no/edo6zhJldI2rnsUejhfxtiifTbtokEkFcNhoB+IJfX/8Dfv/9v2mQoB60T8+igw5/38+Un4rfbY7S6wE8x5A0CWOKNoklZ5Alvs7lDi9mhsbqvfiq5QW+Pp+Yd5vQoVFzmRlkJhctnMyJQkL0/vWbaEBZNIzT7bQbWoNrICVHWZj9yCGbJPutIzRsQNVSJELGAxhRnwUcmjxgAR3mnBjzRONDJGBad08BO5jZ5+R4hvYBykjSg3QBdR+fbAa5EgEb/3VujJn02/NmAApz6p95sU7GfA20p0rkXGIuJnvvHt04MNeWUdW2y2FjhKs0adNOckKkOB+eE5aDSMnYTOBoGEN8mDAm2KLWKsA8Xxql8ICnnbA5Pt8HWjvx/PJ0wCK4Q5gea8QYE+/fXuILkvxeXRLqzCfCBCRthwq+NeJZ8bvAtgjzdMq/9wPPL0/88rdf0I+Or//21f2xW2sYr+F+m+uBYXP12UvQuKR199/iHju8szYv51e0azPtE3M7cAFeqjsYExN6JRcFnXtvx2Q1iz63c+TMPcPNpF/vmgO5yXoGBHD2R0dHd4bTDmKgSvSNgVt98E3yu45h7pcI6eAmuxdGZGFw0o+lzgxQfkQQI+dAK5L0ePf14BemIBjTj+r11EuFBiXza2MADgRTQxPj1PWQmJFat1kljGJlsN5rwR7GECuF0HDquTIlt6b0lIE5caqJa+6vVZnB43m+3PWjtwfAqm2xsy+Ng+8BynWGWZ80rgINH0O+nu+ZEfI5oSrkzI/UMdHeWtwH+32GMKmMpwJNd4FpB5gHXue7ju3nBJvCr/Vk4g393M8HTbgZ7ffKCgR3AJX0AM6xHwxwrQIdahFTwAQ7ZoJoWRJ2IEpoTlPzVwkOlIU96OLuktdjNp91gIEqLM5CE7f4oeRPqWPYVNDMHH7m45QowHltumBl4xtfhV2JVysgUO9NbYnxtP23maiV7iw0bzfXDtYnY7YUEZYyqKNi5VPJudIGkryQAEBHj7zFvv60weqvy4ADzcv6gvD9u2K0yfJ+CuBEBA0CPPWcn+2aRtEsi0SjCQeKuTj22ABJW6fuOkOiTTQ+156fmMVMF0m3m2PQ+JxksJ2wj69jxD5uxHjQgS9ffvPMGnMOjHG6Sbq1vwTi+pPlp8Ama66iVaspwUxUOjjEFPXt1ze01ygbnxCbYVtscuzwRmXugCoJuxCnBICNqc4HnR38Af7kcP32xze83q/+GESkprGRBNWuv739iuzLKYsncqxZtFhhvsJ/JYIliMlRHHiWdFalJJrCxEyibOM93sQEyRK2k4ICQLUTKYdPWewpYpUztWm8Ygx1pnxhZ0YQTsAMGK1EKhPZbCfPkHQMEmK/h9+mtqE/DpznCQNQ++URgJfZFUzL2oh7o1+5fSEJWuu2dT3nRG9An4RBDXO8y7q3Os08GHB/zzDDmOK/2SOBs6SeOXxuzvcX5tcXzvcT+C3aIgd+ijSqdvt1gCvDlgnMehjtAiL4fSzm5eMcEjTqaPj1X37B+7eXBpaRQ/t8adCkvmcWPiPitH3Ak8HqP8lUaQ1QaVFmXFewVLVFdcjEp9o0PbEOYr5EOMb5xNZilhoSEVkFBKNKYOX5KzNjPkJ5TQLwnF5ziva7hNq3QEI3/k8eTGIZo/W+uH8BmkrPjQEzJnIn7FgZjXrQ2jUog5eGbtk3JgySe/dCFWqibeZc2QKE16BN2cwWxqgkRpA1imRuQynMbiKYGZYcLdDmah2DmaTwvYtJqwGl43hIMDqNRggMt9bp/eF0zPrn1jYL4/l4vIE0aJ35gxYXlnIeh+8noXnglsqUXrU1MlYL47iMuwg4Yq8wV8FndvUBgoexa36Gc71mQfjOc2COE2t0+c9WTPMLwFMuZYBi+8qETzsgaiXzCdkNYL9fUX4PYZa9C1e6Z8L8cWXwVwGCa4YAP1tb7w44mRmHauFtbckRL++cCVRMAL2bP6loVntLY6M00t7PczpQmDOb6AJmFmQA2XJmSpA4sWhgMIiHmksqsO4WqXo/9rZE85CtvLIzTkmTaqAkxu6a5ms964gEQBlQGRiYrxPcNBtB6wB4nb6gg5ysgwzcQd11khLD3TSaCDoiWBOl/gbYtvbldFflTCaoiW3wxjF+ib9b3TVsrRpAJJQzz8eS2V2pDDBi0fDamiUYvVK+3zSuCkxh96kgjpPPp8cM0DrN9XTO4P/WuWdueH554tdf/wV///t/2fKOZSx+ovxUnk0Ljb3ax2dAySpJf30V5iUWQZ0QoBKgzPyH5tEfKM+uANO+54U1XUOTVOQ6cS297/33b9fcm7qJXCKQ+tuS7Tcth6VLpXqkMsEYrqUkigMXJJJUM1OUfJ4x8QLkT5Dmz2xNcmVKVMjaNoswa4TofD/LnFgalMjXyNt58X5pPdwSo5MYiDKPvrnINQZTA7tZ+gWXzUwRRDQKMDznBPeJ59sTx+PQ4BOXFpV144dU4k/YCEDiLG/lGt4Pky6xzzkTu8YT3EB9AniivV7ih2zgXyW7FsjHBBpzyjp4vZ94PA8cz4evNbtXUp0AJqw5HkcxpfUx7gm4S3N8HKrZXd0DPibJpC+Pnz0FFq34V9WI9UeXNnvEYlwCBMV484fBUz5jMWbfQBqQpN7rQbIcfpfxSyDK6gYiObkxPQ5Y1Zx3jBFasClm0VmjGXm95F6PyJgB52TPCUckfbJE2KdaSbTWcByHr4ecVsVNxDOzsqyD1VddDr08mOSBKaj8g48DM8DE3mYgTPryOGVzOmOI7Td9RWpYCIo8YnDSEq8MTDQ3IVj9THEllCZofXPWaOoALLCZn5njms4rtx1EnvS9dfX/XLSvcfZ1SY3lJqtLICBahW+mNdEcz+7PWlPqTNOM6sQZ6Hp7/oLj0Ci3aoYlUvI4GyXCLV003f14RMT3NEd5jxSeIAOK0gd9HnBG3K9nIWfWaqZ0CNYkfz8qsLczf4zTU1l9Vlo3z4HzlHzcbjreIpppzBEAcADRzZlAFNZC5drkmnkgz/fOLNSuZWBj1z2YDvB/+T//v/H2/APMwHi9A2wBIbUuq8aUY+cZGj+iCx2RNTNyY0IQkWMV+FqV9G6wOjkJpHyRKt+ov5f0bkASTOcYHBU4Um94jb/hf/23/2fk8bSxKWOfhARpfuaYxRx6BWEXuuJ7yJ5PbbG5QD7jpB+W3SHaRw76cp+v3zdWJYBalsjNxIxu/Bornabgf3oCh5YrlRYu0NanZ0hYYrwAAfjW4uxl0qaTxvao6WcS/zbZA/4IYE1CTqvXTIaTRvWjYtpiL2W9VQEolTUu/TyeB3757W+azjFHbE5WmL36uP6Z8uc1m2wBJSKYhJj3ZImnfpnhv7ktN6BF3sF1w1wevV7L5l3/1//xf8aX57/h2/sAXmdd0Xr4m9ThdUqyc/PjFIIDsJvKDhCFqRDPgcnmw2nzGxotAaJiRkBuhlS1XgZ6xU8xA/UMGqRek7oe/YnjYRrNjm4RYBHBGxpJPkn0BrxO/P33J/6n/+l/9LExaZjldMwSj91GX69/mOfUGBQbY3sm12k2+pMtI4lH7hpQbeIhERCx2Mf792IGQvalMhCJYWVQpdjaPvnqkgxQ3qQNgAZQYha/Kg0iDOZ3tCmUIadJMWBAJLbxmJKn1caYZ/jGUbNxD3CcCdR6IGSJ/3ogrH5ea27bNYy6tTVV6ITmfH/h2x9yEH757Qu+/Msv2t52IYCZQbz4rX2Swgz3CQYUdM8Z2r1lUGz+ZvYxT5YceY3Y32ALBpWu2dHE6h+vKWqaCqyEYZZ63r+9CvjNmuzxOj2a8E5Dls1mWm94KG0BxELi+fbA88sbjufj6qdp33s6OFf60QDMBTwkOq8XfmguiMjfZX/beO7u/aiey7XenA4BdX8UIKRCGzPFyoxCR4/zTpkjozEzWcTs2itCm7p/r2CZApTzdA2OM+zKKNh45kAjcqZNFxqJJlLAqWhALTjJwHm+w/NHEyFrG4wZOY4nGBPv799wHA+JV6CCUrda0XupHXHeJc1n9mffgWe7PkcGv9IS+76LFbC7ntdnngdro12wcQoLo4bX6xve37/6b5+1ZCXC+TpLPAEgC8+AuwA+OYDNbguGoDv2BhGcnuY0O55fFygaN9PwQK+1o+Pt+Qf++PovooE+3yAW4ovANQEOBoNfQsd7a8DpP/hzkjNd+QQFVTlNBEHAGGkfWOOt9Ie5VUU/M823dtv5j9Sv4zxc6GxCKp5wU+J2EH779e/gv/Nlv2DZQ3GZ/H0lQObymdsWZ8SSgmXBHq1X//3WCJgNs/cLodsJYuv3MCclJOEGqomtjQvNCZABNEC9LKs2b0NXcnuYBZz2RiXtyiq09bHRc8LHVs1pXYN/GH5Z3tfkbqg1i619E8a6ZjK1NQuMbW53fHqeMxfu1mlya8awrCHNe//Aly+/4fff/9VxyBwDpwaGXAVAf6b8abA5h5oMmMRvcomcWCQX7TrRBTimHeibwzZYrifdkxcpACeIANz8g5nx65c/8F//2294fXsFE2eMgE3eGBIIaEqEvpzOxRZATK6BRA2aQdCDWQItmJnZnBPHceiGCS2ARXuSgx5qFkQAGiafMD+V1W7/8eh4PH7TxScasuNbR3t0HEfHUDOzIBy64YnAc+Jvv/5bEBplliw5cJXixGEuxL8SAmNiP9q8dr/NobcpgWdmOIE20GkMEoEcmFquTTCrFAi1jrSWeOT62QFcPhyB8JMzrYX169IH1XKYLT1YNJ8gQn8AwBND571zw1CfJ9uX1MUfoL+JhnBOxuvru6zPdc2rVmmcE8czxjf7NuW++HwsGiNW53weVStR5qmlg8T5q4UsEWGcJ97/+Ibz/cRv81e8/fbFTYbyuBvT/RFj/1cuK+CwQz/+DtAGVCa5AHzVou00IkSEsaTCsHUMwGmrlfE6ff23TgokZ3m2qSaMx8S3r+8l0Adz+J2aFN2iivfe0R+HCLNa84Tix/NwKfpKFzI9yIed/5Z48+j/hvtKf8u6ps1zMWZxvbanAMPCTAXIn5PDGKKYlSUAnYQ3QI0QiSbCJxmPlhgEBtD9LLRu7ea9tYZJszDO3MwqhNz32kxyw+epAv7MqFFreDyeGOOFb986JJT9TDEFRMjYcZTxEWBoZtMDpwYXav0QzWWSdPd2AK2r/+dEb634MOZUJ70fmie6Y6Z7CsD7Tqn+yTIneelkNwH7vvIIBWSqkDn7Z5X3+doVc0YQ4TzfwepCY+P+GYsJQm2tH0eHpX24DJWNoxYbkkozSeMgBNiR63sA9lHJe3m3z0XYEgKhGjgLeobrfgSLL+RjySGq5MTcElpT9ycTbkzLbbiQLph2zHhcCQJkfEQdn9wmeZ/xjsIbTvQHO+A3K6rGUmdLgHwZoBgHVB5u5ZdjHOWzKHCLIB+XvWR85W7inJ50woHDLQG8PRv+/Urb8xgtyg/lGV2YxwmcNUKbAfoKfjCBhj6f6wfEBeo4GhoIE6rZ3tBZ/57PCVb6s6xLSmeE8UjlDJHeu/DS/YLH2Lqu+dhcRj18lzmNr5wrV1rlqWmEEUd/HPjya/huEjWc4yVueedEP67Ki3+0/HmwqVGKqJGkREgRC3NhXocqii28XWGN9HVZ5P7sKg2JOteUHOyDHcwcc9h+v95PkYiwATaEyeKEmD4qc8I5sT2Z5KHj8RAztWpCLG0b85TgKvOlfojQ/GdSz9ElVHzDIfwXhi9Kr2MMtGYmuCfOdwBP4CDgNUxLJrbxStqdEZ6qjpfFriaxqr1FwwVwAlVKZW0RJqOr6fFiurEQ/ioFW7R3qMTECD9IpYMQs2dqAgypmXlbSJIKo6F1uT/OYgpnhCb+tjVzJcxW5jAberqCzmm5uBqYO6bOqSXZbUdTbTZwPJ/oDwmwMl4vgAjP1iSiUSageoDYuGWmcpVE2njntueyMtzr/JTnWj5kucyRjbNFND1fA7/9p990TtI84vMyXgBcoCZ+uhV4ZjrEg0sakdUvKTvz23wYCLFAJFPzDtqzlvvXnoH6T+VchO/m7wsNJNRMoCL3vH97YZ7TmUgTGE2NQtyV2eoQQZ2b4WfmxM3utb+zAulYtyGhde1EMl0LYWMavw3XeTXZY3+vgfh1LH0eNut+ZWyEblMFmZtnnKmRJxd/W3LTfQJ59OZ1n5FFL0NK0k6EBgkI1LrRgkjoLXsqM27NzW8bAJgfK6lv94vBDWhMsKiyj8cXPJ9f8Xp9BbMGtTlfmj6r45xnGbc5w+RtzolzSIC8NsVPsaWczaDInZmtLcw/tDsg02iZJNogS+W1BiLalVWQYQLMvAZdDLBYPWV3gXVubV6h/p1mtWLvsGCA+Zk51a8V1o7Pq9kEIL6smgpJgmgtrkWp7M4ho2Gr7y1zaBbz+e17LrtSJdpxeefCn2SAM6dYdk1MgLicq9KG4BMdKCf6cmuBNcOKxP4ZD0UzwCJ12fPHIbxSRgZzsmroMnCD+zTmQGnWTyLyNekrPp3/TjaJihaaDGg6HapAPc+BvSsHJ5QBxUW5YHUgx+NIc2Z9Agsf09ATnZFe2NlmfHXMTQXl8UnwyMG6hpw2mxWP0gfR3aiCJwWatPnMvGd+LxElK5Tantw3OXevZ0ZV9lDYJrZq8VWi1Do9q9Yy0YjEXyPOSbtXQC+chpU2NdIgSrydb7vQNP/125cnfvnlP+Hvf//f0Jpp1IUv6ZeIKP94+SmfTQvcMIf4etn1HN1tJ72QSU02+5m4EPmzF8K2EYHlTQTgYtaRGbWi4dFJe//2KkEH3MxCgYWZg4xz6KagBM6mEqd6OJlkQHyk5AAf86Xf5R32nRrhHO8auMHMlZrXbZpIZsZ5fgOz2HAeBwPvMQaNxKQKQ9Jt9McDAlJ1s2E6c5nnYnt4JClxJmp5PHOghdXfbC1Z4rO+R5xs0gHkkh3RLhv49I1mz25kO/6zbsSiQUnFTLvqAVeXloUKZw7GRZItT7SuwQGUiZqNALyAc2KotrQ9JB0NlNGcPB0AvF4nnm8PcGpXQzi6Z02N0HTSKGnwMf8uuEtMlD2TSzGtM/8BAJZk2H6zZ8frxPsfhH/7L3/Hf/4//Q94vD18b1Aa77s18Fcu4zXEnExNz+ecko6kx/hYKcF3coS6lvcckDkQI+rjdfp6NL+K1oBzRERMeUeM8+vbO96/vWKuXhV0sUa4zdFrJxDfzwE+Oo63B/rb47KujkdoNXMgMfNXzcHhCkM3GRNqYjrTvl3OLKfJ9numM0kDfwlulTRSVciELRiNMUkMUTo3dnuKmbFG/NuVC4NGBGqMeS5jkgB5ZSj0GRJG95YZJPHxoQaXVhujYnEALDDUnPLb4/GG5/MXAY/ne2mHfZ7nu5555FoIiXJ+ePAgGecDJnjsKTfqeUr0wjbhDOjr9U0B75uDxPXsLu2wOW7X3+Q8qs9dzGOTYHqNhJ7LanmFEbxKGWcOYQ6h4f31h6eL+Yw0LhfWdWQCGWGO52Utb8/z3XeKZzL4XJfEKkzdfbe/y7+GsArgRcBkAGpjjkmJdhk/6F1UUBgCwbrGrI9Nrfua7UWCpqCA8HoJpLpmlCXlUW+SLkWA5oF2RJBKd+VSwNioebuhQDkLyhzokmk8gxfO+RYDjNY597HsVchX5nOm70AR5jiwtcdW4EN0AZUG+mJ91DPSsIDXn+7bFhsLbaOkSQQ6E4aZRLNwXWsdrYVFHQGqob66Mqw4wsdJLVOIqguLjDtKHf5OC96ZeNF830qTfA7S+ja8dbknjzvH3svCh9yH1iV7xa9/+w1fv/4dYkor6RfnOYDnT8WSBfAzeTa1kUPTJsx5PVjLxlxA545Ztk0wZzVd9UWXAery3NounzDYojZTyCAs7+8nsmdtYBPZ1O2QTW+hk9cEsswCSht6CigwIWZLlhw1ElpfDimCazSYGZKOtEGkwQdwhE/QHFP9gCTQ0hgiWbZcjny0MOGwuRk5wIVGQT26RJXcCAGsT3mEtwwYUBlN7JkqUJVMUqcLkyAto8L42byZ5FkGnzyQR5bwRDuT9IoQJrob7XiAR5MOLYejCht0ilww4nRFiTlPBjSQirz/HYAcIJbWZLxC4GCpL1gZ/J4CAdkhYdotAxuh2V2jim4kjXn8nQBZL+rc7A5wITod45xlbMVMHOiPA6938f1zIQNi7LLm6zMVA2oTAHNilkwCsAloUQ4DvQ09DtQMJkTLyK7FzCaqmWR4lFoWH+DX+4lvX9+FLppQTAMG2eF+NdmBAkVWodSB4+2h5lojAu5ocKjWNQiZ0mBhKOIAXWlaBoDXfQfcKoSaAYXphyErwxdjcdV0ZSsWzgBegYtIw9nbb2O+ljt66DRoI93351p8n7Pund07XLhjjJVK5TOjHO9Ma0YtSuac6jPVMFWY5Xk6uyQID8az4/F44v39D9nHkKA8Rz8whhz/U4PeNAsQxBKg7vF4ExqqPlI5qu3rfMcBjUJLGqiqMR79zftwnu9iNvv2K+hJoCnWIRb8TuoM8GczYExxnst1L+RShD0zcmLu1n48U5/P/ppxJk8ch6QPG+PlDBgzl7X22YoHN2mr5Y8x4EnQ0babqdCxXORsgguSPio7wZQx1LvzqwjUUtT+jHyIkj+prTuj30dDO8VElsUWF3OaAJGh3ED4tLLwd50I7RERw21xjTGdN/IxhGj4nQgRFaBJpICgKS85R/SXxVezH4e7QDXVolpwtxi7zdwloLkb+6qtS99bpXP5HSvgXPdV5c2Nlhlfyj4M696W8S9vS0NmD6WmZgstM0dGnAuNwjUrn8FECP4c0R59o+KR66FVaLX3LwG5BgnuRCJ4zFY95Zlm2lRZX+vZsJqCZ2FXPbOMT7mex0EH4e3LAhNMgEnW3+PtgS9f/oavX//u+2OqsuhnhWx/GmyGbTEnR9er1NTK3QC5aj+ZjfmgJcl2JjK7Q1/aFL/llB8uMUliFNNoGhPiTJK/B2onb6r6WOyWq1MkRiSOtKdE5rPk2RJwoxWgyZzCuzM0WMSA7WL5PXasaFIO/T78EAyiZhuYfQODhBgRiQ16gwCjRqIt6cn0bTVVyxKv4pOVVfbe7zAVLFrOC6BeDoWkNbWNtNK9tQqX9jVhRh0OG4Pp7b8sCddyRn+V2JnQogXByQwELcQ2M4N2kToDmGBqoPYM+/Yu6/j92wtwB385PG2+XueoWvhGzkzamJMSkH50zDGufVEw7bb6aR4tWNBK0FeCF5oDM225+noKwQlGc821afsMyZfxM5UqSFn+HgAps1+CKCQmxudTGZ/Ej/ieGmP4HHrOWUakttBAQOH3oUGmkkDG5kWiL7IDnznYLTOMRj7ensqAkGshp5rjP54HjkOAZpNY/sE4LgclENrcfM3K0Ojb0r5MZ+oaM81aBpJryc8YPc/M68rciGYgWTAkZqgd/VL39jC9mEv5t/K+PO9rez8qdwf4uocj4ENYIcBMrwSCuvSeekOfkovZLEMkxVbDOF84u0QwsfMLysiOeaoriEXU7ujHA+O8pgEDBHyOccICZQljrma0/XBtzPtL3vd8+8VNbwtjbpZQc4LUTcNMOEtQDmNWsyvMzbwVWrh8z6l64rcG5gFG9T1v1HGOl0eJl3/3JqWfoezOABN+1DMwygpiMiBkDuhy3TMhIM91le8JMO1ApjD3rIGy4rqtr3y+taOrBkvjQEyGC5aJQI8OmhPzFPlua1PlvAoStUPMjImGrv3jMUFHd82j8RI9CcOsz+YpTrqgRdDTHWgKfRfBnAn120GYp5qlNks9VUFkTuNmmk772953SZGyCNltb2Rgl/3mrdi6MLcRIjNJnjEHICBP7cx0OPZuzJk85c8u71vXXh7TAMMpr6f1H4AohaiYSEc9tkZNcQKMOdA15gbSOQ5cXcy8L4sAimIQiyntPc1HWasf0ZdiyZHbgsqfB29c8ROQ9qgJKonwAPDbv/wN7+9/iHCb2S1bfuQ8+6j8XOqTc3geN2fCVlODLClYUTXV64bCc9S53XtzKYCpBRjyelEaAACeN1Br9Ht7i7DMguXqoWb9FMIrxGfOgXO8lBmfpS+kkgRom9yEJNUN8KWvHmyCCYwa1KO1ht4eKImybVOk+yzIEXcjTIRDzeR4TExaTJm/U3KSZ3sHM6s5YXNNRmY874ozpEQALf1nGyBltggw31hi8VgqoNDNCup7nYAQnKDmvb9bXivg/LDt00BrE+0jgENNxsSH7h2ccxyuUlrTbj4fpW0WgKX2JYCKmQXt7vG6E4NgzKqPReptJvjUSCRxN4y+AaLXt9cl12YGB/+M5L//0UoG3bbGsxY3fBKTNF2J+24/ZPrn4+dpGMK6w993SoTaMUYw2nN63mBSH2dLazLNdFYFOUMj50q7I/CPRaYFkZuh9aNrknLSEPxdTPy1XcHxp8MzM6fZ+gAobgArOMjnwSpEzGswxiuYCztQ18Bea+oZY2itmJ/mBZim9m0l0MmH33qY63Vmw8bH3ye+YzzND7v2z5hFwctTzeZ6BNtzy5zaRls/rUlgMpAKDljHRRnO4/HEmCfau8z563WqhczpglEw4zxfMc+wOavnsKVIkX9meSGAkybBAgw9IK4e7Xiidwm6d44X2nlo7k6x4gjegWEpYchMknWOjBf4iPkyIVleU3k9FAsZm6tEs0yYtq49ogaGmB/b+SLpXgJ0fMayjmXrhDabBjes3d4BwI/Kupf9UeaSr3MFFfmcylY/gPBLPEbZUwZ07AUO0GwdzaZpzUzIH4HvhjHm3IAJHA8zgFOfaiUCXX0yGUIL5znQji5BDV32ZIoSG1xyACprcBkPzYwAXfvneeKA+dWLMCbzM9Sa7ltczGZXDXCZpnalc0QU6Zp8WrLPa1L8LPMjAI9AXcH6TBIGvYdX/1kyUHnFC1eepfYjr0EXzqKen/kBcw9qqq20Y5mgglR3/QscM6bkHM99WEsBvL3pkos5LWeIrgGzTvH6mvzPz9EGd8FhAB4rpLyzDIAHlMvKnPGqeyLaUTXe1gaj+2+/vuGX3/8Fv//bfxWMo4LwfzewaSYLwWQEQ3FHg3eEBAgGfjpDdDVLW7+vjEkFsftFQSRRHC2gS9bUty4MojFp8VxeUHownWZOMxGR6ZpujgmiQ5gxrJu2OSHwYBL08L4TkWjLrF8F7ErUWaKGx+OB1g703n0ztNX/FXIAixvNoX1jnKeEnO8bhmoZsMqMfeC3lNMteL5BN+UzJrp524yK+GZqsYaMAAnBSM3ZgCwCpaS27QIUTeZzu0dI4KXfkEx1vd+pTpcVuMBB3tKaML2tAeNkEL3U3LAV8FYkXRCC2BEAk5M55NruCDLCro21Ntv4rLb6JoChGcCm1m2mR1cg4OtI1/8YL02AHr6Fub4dSPg0xcxbez2gV8BixRj4DAwt4JgfZgDsADUJoqyh+z0n9IE8jYldmx4EQbWd+u52NMwz8uR9+U18L80/1Ou0vfs48OW3N9doHo/u342xib5DY1xlzWHiAhaGf2dWZzRR+JRKG/z7Utc6HtkPaUejcnqNS3CfPF+4nhvbvy3lyqia0tv2ObMptEDGUSwYcjowAVdh0OUM9lJfXX8Kni12ArPn4qTeNPelpCd5PJ44jider2+wtCYGssY83Vz0ODpwPBRYyLgej+dCO5I/LAhHf4hvj1o/vF7vTvcfToMfGOOFMV54HL9Jnlg0WFA78QPtzvjnecn99bGaYe2UrW7yc1no5n8XPkUFZLPGXDCg3fuhvq5hQlvq30Ug+iTFBCPFrxELo7sxZ4174jsRnB7tBESweczPqKVIEdwsbhp5/nnq+UmA+DRagD0T6AQP50d+AnpE4UttoKs3Bk8CzwZYvshGoP50c13bsVNpAgDQofwLc7g2eaOTO5algjIT0cS/Rl5HM7OUKLQWzE3IZFPhYNWeRp8CXHvAtw3QWOeXs0WhgbLeQPPK2wuPx7WeRmoMluisgn0JtJQrWOgsR71xDFyDPO2PBEr0Fa5BNmEWUZjqd5pFXsicBKQUGtBzDM/xbHUJuJYHh/5Qo69rW8wElhRS2xirj3EdH+h6VNCYO6hWbnmMJZfnlaeTM0Pb7nncY33tsJTtFWtPPxp++0+/emTaycPr+pny58HmOTB7vxDuC5pfQKATiOV3k2ICwWRt01GszA2uC7Pc7xL2hnEOvCz8P8cibo9D3jkj+a+3L6nWTcsg5rKj+JtIgAYCzwSiki14awfmPANUmhaWAmiwEifrH/NwhuQ4HgIuDwGarUl+HMtzalFoTRouYwEQqy/YkhYht+F7ID2P62qyafeYNNQZU1LGAe26NlKdWctJZneve25tDjVCk2mKeTXAaeOtfl6k9ht3mkrXYtKi/YYtj/SctXnd2OrH2bswTWbGeKi28vXtVFM2e4Ai7Q6q87mbb+fDoBGgBKX1hsHsKyq3Y3cAXMBjHn9kPp6E0M3r3snrQZiuU32HpwNlqYtde/AZwaZLWY3OsUqy3ZKhV821rpcVkFtd+ftK/CvW4tt9lgU5pU6dHyJC7yKE6o9HpCxqpAckixT+6OhJe9l6x/PLA5QtMbRLsEAXaW3JqzeCBrtnxnhkWh9rXNeZdTzdsx6OuVyij660gihoUdKYrILJNQdl/r67VucP+2dhe2cWs3eecGXLji6VgBEGojSfW4BWHTcOE2h7L7UWlOwE+GC00dFGd8D5ej0xhgBDErWOAL0eaVHkXAwtZ29HMDDnS3NzSmwB0SY0uNYT5N+ZGe/v3zTIDoH7gdfrHY/HG47HEzl39K6sgX6I4FHCfX42sSK2ZSO4MVDp+6rwMU01we+uzbSzNefe/MylNfKo+XeCGGe+F2H3ajWVXUZCcLcHSMuLtgyygV5jroOXUF5QtT2lbZc66nopmQSKqbXyC46bCOhifcDiDyU8RLOAjGekliCKTa8f5AIw0cr1w+J0BDAjTeP2eByiWT6aa3QBBagtnll5a6KsydXfe6Xpdt8qbCup/nL09eKaQyHo1rFvTdJ3QcciGXjGu9pULVwm+UmA5u1K9NXNce1gLF2I85nkvCOSgECNAgByZwedAFyQEUJjQCwJr8qBeianNXGRmeR2LlYyPgrRv5U/4x0zpzcTcbFiqbwopQMwnUOm6JmE2RrUmyXWSsazvncIcxCeX5745Ze/4fff/xuYGeM1LmfsP1p+QrN5JfJbQp8Wfy422NlcpszqpuzMPndAaeeYDoha2XzoTMJEvXuABhCBGsOSjyMtLDFTM43O9DQnmTE5juMCvoUhHD7Ba0CYWJDVzjz37zje8Hy8oXv9Gm3Ehrj3RHS6RD5VSURIUzQkeBdJshHglcDr0GzHN0uM13HPAgPT0DALr2UOzgakc96lS3+TltOIjP/dRLOjLpRROIHKlsCjB9e5B5yAMH5r0loHoxDGQ1/jLyY9QJpGopuJ8W5NInvxZLwWyshD6yhqUq2nmaRJgcESUdOJygxNlhE2IX5Vu7NK9gHc53k0CfHmwLf7xxA/53GOktNReg3XGnzGIvtWzaiagH4eHBpLlWHZ0LVez0R5LgltzAePwxw1S8Brnl2rW+Z3mCZzTDFptndwBK8AhN69/fom2kxmnO8StOzxFNNGiyhsZ1frDc8vD/RD8mkasHRaNupBTIWZkTOhrh12QcsVHOqzU5gua//3itOg5Pct12MN2/U4VK9MVG7D+u4dfZM5nuW39d7ct5VhAaBBLGRc7DeTUH8f7FaaJ8yeSImMH8y+811Pdj4OzPnEcbxrKpQXvn79NxjQM+bKzhTzqQQny5z08praRjplZ/mcA71F8LkxXjrGD8lBfL7QqOH1+obeH+LX2bpoOzDRZgNSlNtrcAwUZjrP2y3gXPw7rZ7dWosgf5zWzHCAyTP8Nuc8L1HoP0sRDZ9oIlsKjJeLMLEActR2ii+7ID5A0I3d9d2n/17MPhP/SBEUKv8OVGVFPAOY9ZSBSHAN5mPv84iwCJpDFH6UwjNwCLjNupoYYvIqGsqegspZP3pxw9CGuYsOe/sFxCWfTK712GfNm5mAfCPnu3zeMg3MNHMBP7k+32ct+Ca/J42zxQSR2yugkffndZFAq1kqpPuF7FSxnM0fi7y0XF/76MIIu1fZbMuOYP0D5CzNLgt5/ZkwLsYozvn6XlyK81XruPpZYOPCIZCk5bkMLBeamEvGZLam5mnB5JZ2Ue1jud5EMPHrv/yCb99+BzPj9Xp365c/W/68z+bk8unXd4zscuj7NQ8yFFHE8ibYDUZ+vpTEqPs9fo1wvod/aZbyrNEDXZqjl8acGhBoFm3m+v45J47+ADn9CZObRppuBKff23tOcwEcmjja+iCBNZ54PCQsNqX+EZFHH6MUDdVLYGeQAdE8/snRP4j7FetfAHxycF6ZtqrtiPp738/9jmlbOao1eq0BMOoAyjnPyMma5QoH8b4RPvh7NsL1rDn1+1S6SXpYmWRRoohakCy5v/cGvGkkQwUHFiFPNAeE4zCtbww8qy+kHyI5l9Xa7mRmlPu+jm/VuiwAdWW205pci+Tpm5oz9qoR+qxl7Z4JFQAA6v+8HspxIubnkmmt+irfadbyy4hCCz7O4bl6c9TuqQGATAjweB7oD/H1aU2k529fxJeOWmVi5J3CNFiOzdLuG8Fig0ha3VQ1PZfNnnaREa1kE9pMPzIxKoCPa/qEy9gVST/C13K7f6iYM63Myio4rG2sQGcFiuv9IZQJU1pi0gTcs9xfg+KQJA8fAfZKdEQSqbe8p64hIgmIcswHns8vOM8XXq+vaK1jnJKw27SQpwYBEprTcTyeOF/vnnsagAeKyHOSTVBbE0Enzhfo8Yw+z4mBM8a5dbT2B97efkXvhzObls9tN8dSTx3vEpvBxm0jbFvndp1TEwjna+7uMkJoy2A//8fYB036DMXGx6wdHBSUe7CP97Ce6dC1oqCBiKrSgDaCqOYVVIYEcc6VPX0BSFGvBVZzWpDWh2neAiiTkm0OoGmAtIUemyHxC6g151st0BD1vhmrsBRoZBFkF7P/Hd/c1EogWWY4O0IhVN+dG96nxV95vX+Xti67G8SYVmXJpa7egBM+QULjskDd6pa4G5gzgVQD2lchkdHxKw1PIDQdudLGdTyqwLZErnXGF2iIFCnQtWPC+UnkfHauS0hX8GDrer0rmRezvpnr2eX8WMb6vs7on4/dgqOC/sV4O+AHQEpXJ008vzzx9vYr/vjj75jzxPmTlrQ/FSDIpXyGtGcwskDtoHUciElhZszXcNOYdZ7WTZSJEjMnaQ5umXKRYHElMho1jHlZcGnRWLTH8zyRAyXkxZA1k3FNQGQHqakSAa2VQzlvXGdY+gBBo0BSVylCjKW/qzd0ZR6BcI6W8Wnuv+Whpc1WPrWVejjD+2dLsIqSNC1Jy3M6A/+nRNPnt8ROUDOWFiZtRrx9syXtYm6QBxTLc64aaFKJvvxd+1HmfQMYy7usZM2fEUgzmbI6jLGZ8UzrJDjXAEMTe3dbz/0QX1l8e0muIobMA6v59BI1zJhsAd6xtgF9l/E3leLlnZbMUPYHDNLvq1bgTqqZ1+uwyMvJT7A1SbmQTY8+U8nmqiawamkP7cYNMJO/AHdWCkiZ7LnW2Py4dU2s9Y5ziFb5jEBAwjDEuIt28onnL08xu3+KoOrxZoGodG/bvi0ag+QraG3Ue0yaKm2W9w1dr+IXroxcgwu3MpNxqXdlFi8beHN+JNDgWkpc6fJ6704oJvNjtLJdxnplwORG+viMa3SNCn1nxp/6XpiBxICYWa1pmgBxibCgQ0i0CAB4RATicWqkcBbzO9NqjvHCnFOiDSqYkmBRETjIosta2+Ue8xVjF4buADwAnOMFEKnmspW5nOPE6/UVoimc+O1v/7n2QcduDcIj50sVfNgc7QQFdyUzimtQoDznjTpe6tfKzIkGBK22KMufrRCRmNari06eg/jcCMaArZCo/ry4QbHso7IHJtTvcQWawT+uwgO/R7UyVmc7OiZbYDVa+InptDQDztYIA4CkrAgegzUuh1jHqYKExQeRJ6M/hDejHvTycRxijUUN/REWX9JY+WjL+RBgqaEdka6EWcDsll5uxvijPMKZH19jPezKSju392QePN+X1wMziCd4IzAEEtBaTVTVRUp+o2KhZSCcCE6jrc/2u4W8YKh5bU/CpjFdcLAcW17Y1ikISKbFzqKjPpfnzMcvKrsAShm/WDfl7EhjH3PbQJquas5ZBJL7tl/btiu2t43v/+VvX/D167+BWXIn/0z5+UydedAsktZS8mGQnzOgyhy+igCq31ohQmbrT5d68wHt97bKVPTewa1pagpcJMS20nhaqgAJyOLvgBitr34MsphDoiUHktx/9IYxI2okHZFe4jiemPNUH0zxm+r9gdbCLDYTDiKJZNYOkXYdvYkZ8JBoleKjAOWDFkDSRRtqSZrL/PTmBCwzo3VRXhk3N6NDYlpbLGafO/279SbgzA/4aEMzZ+68wczDX2/O5hqtdUwMB7pXMVcFmYUQZPPZLVRTcGlSSzWViWA8rcyPEz8dh950HREB6KAvwPtXYL7HOPWe21YP7vXwhJp9ONjHfZTT1lHM8gqx07bmHJwy7WkPITHrLdadPD/FJ/B11fAXYvrJCs8E7MZ0pboLUJQuGSOegQ+gY6NA7FK3Ck+McbV3+eGS7p1LxMVDg0V4SpPe8HwTf8tDtZoeQCyZm66pBlJjQvpvtETblNub79+NFVo9sde+7wQhQbZiPWVhHAA1z1c68crjG/XOMQPwFi0nbfcEYHvseiiXe+xZY7LVl9Lblv1bk7bA81/638lUSs8c27P+O4u2sjRHaYy9pgBOj8wLAHoO0dA5bGj9CXqdYP5NtJbHE3/88XcHnBFZ9sQYBDoeKowVQWv0sWuwnGVt89Qzq6s/qERwtbPEnu29q1ZTGObX+Y7X6yuO598c0Jl7iO8hOwfsfaoRXss6p74eftC0v1HHOSWqfO+Rf/QCZqiBVer3I/X+Fcvj7aGm9uKfmPclANlXo64B/1z2i59papa78m5mYVZ4uRVoXHgRhHDiXPYyKUgzYW0DMDpmU8FS8iceMIFpepfuy0N5PHTRXPHUvTYZ3Ag0w7WmNeUBbHMSgbrwm6R5MJtlBZDoMCGgJzjfBSBiayTLppb4qWwaHBk+Km9W3HEWgcyOFxdT6euecj7JhJI3fEeMXfB7q+CvAL/eyp7O2FnuDb5EnlPBnnXd4psQat2bwKJFgNTC+uOi5LAx0qtWpgWdMoszFUjkd/hxR8rjG5/GVTDo9ELfQx3X6P362xUgpjFBOp8Xeuh9NiHxZPSn+VRInIYLtsoCZ/XLNbr9/PKGx+MN7+9ff9qa46c1m5eyIuxkMpEl6QVoJkJykb5kIrIxrSVCMZXySWmxmMxGuz+6+2z6wW6b20DqOYtpG5J2UcInSzh0Y4bEd6VpuGsWnxNbv5BD+GgP9Haoae3D29rUWclt/6FJuFUbIYwsqo8jxEfzOBqa5jgybZnuBAHL6stFKsGhNFbmb1BAZYrElol7jqJoEsBeFmzV8vicXZhZ8qhpbtqSNomvp0z0MgMXN3rdrXVwC03LBXhSeTA2lBGnBYxS8jFgRmgysmZUNZqiiZr+XDEDMZ8AYnQCaB54foGvPZdOssBdM9nJ0T5tLN0vKx9IvPSlNBrFRCf7WK0gKJdCCMm0KkN9SWO+x5iuYcuglJguxP6zFNa5mkN9NzjABDOKxh9A8cfgCfHx3NC1nIC+H5oKYmWaSejOeD/dP7M/utfRj+YRY1trxWy20MrEiKxmUiszIFZOcSCNEYflureLYALL/rdDvldm0u8zK6sJQP1gkRiq3noETivPwt/ZNJopZjJPXZiq/KwFSpJ5in2ykzTn6yFxp8t9xvi44MYCbqUxyEyXf6rmkZnhyU88/L0Iuzy6LJEzAvHO7FcuoEAAZwM99Hw6JbDD8TgcWLbWcPQHvn17w9fj3/Dtm1j6nMpMePAgSNocoSGxVlvT6LdzuCWP+7UnKyAfM2aM8yXrUv00icTa5/V6x5cxk2bzKlS2/mU/8R243PnmZ9KY55Krw5Sf6WZWPFmi9PIcl3UUprSf02fz7dc3AJsjHCgCHCDTEP3dBAQcgjdA99oyZyZkWstFwLOJ1WFlXRMCGPb35veOcTrAaAm0rfu96T7k1oUu8gSdEwOajcFUak0jlFKMQeavfLkRiWLMtfTySDF11efFiu1KiyxNi7kgGO2/E7Dl/u8sCI3vyTkog57BAyE6f2X3JPq5o7UfXc+8nQfeu3kufjJwhJTSbaEDSRO9K3Z2zMQrmoDPNJtEtFWasc4bFb4Szmeu6470RjsTsssGA2pBghTvQek5mbBxI8xdxsotabKLQRKwjTHwaNXX0vooY3ltMzd4cK3+6Pjy6y8exfxnyk9pNiVxeDVryQSfFNysC818i4wglTqZNQofLdfXw/3KTPjvapoGxAayvGPjBOZrGTRjpL+dOMcokVstd5j3EVeNjhw+6vMyTXP10E3c0FW7wG5idWWc7FDvjx6mr4Br34L51I+UZkSEP5qj9CURc+1ZqKlHW4iPA8REpFcfLgAXh+RsBrLeaxQqz3lsjABU7ThgWrKYYFJzDltLy+bN78hjB4m0ZVoEAFtmksqY75iV0CR4/xRE2hyICQa5Bv9CII1oJwmctfN4HMCvkuOVFWS6bxwRJqLN1ggfwzT2ouwlzd23AZ0LscmHpgPOBjcH9Ps2GoC8xgnhw8Qcmn8PZkRXjflnKxJkSwKqs5pYMZEy9ARS4Q/PsF7I82P7yMDpCnR676I1LfSn4Xw/JaWJXjN/TPldglH1HP6eKvi7k2zfCQyFfqnW1Bhsuh5mok3b0G9NTg4VQAQgBbAZGwsKs2M+ve1ZANYbWtpbK+gq6zZ/d8sEKjRi/X0HcC99/M5318Cltu3GOe/B/Kwkndww6L53AUAYzZHMr9e6rV2s5re9N8z5AD+4tKs1SYnzOt8lEBhP1wKZGW3vSrc5ayWkjtfrW4pSS252K+Mqmgxmyedp4NUA6vv7O57PJyyHcE4VlPtuY1M0x3mOVHi8jkU+r7bzpUxnMPMd53i5H6uY21pwIBEwz3HezutfvbTWcL5OPNXHG4BbuVgx7dBujxgPZ5FMLwAk8Td3ZZ3zC2ja7BvTAsozta6m+bknqxvCCpIMhJmwe17po2CGhtlZ+LxkgQbSMSL1y2whTDPeY05GI1n3LQGLSAliAmgZ29bkTJEzPQWjbNGgzLOtY7Ebd/+OqxuTsg/yd7ATSmPh+9PKjoauAszMf+xoao7VUhVGybTZ2uhzIeANI93TCAA5bTKN5J1gKjeDiNQKLYRS5tbiz5mwRP16Mz8qTeQC1nfBEndAfCv8975HlOx1zOvtwTPHfToOuQ/LMyVi8lL8rCWJTNv+9epq8o+Wn9Zs7s7jjOizPfoc01XxzqjmBUR74rUuDCARh3zNn0+TM2JD7/I0QiXd49sZeWmWjUKe8FckuIbwKdluZ3OhuNblLTpxaF0TrQaTZKX37uGtBY/GzvfgQL2FVrMloLkOko0PRz/yQrGQ5jtzZTsIjGn1utPB7G9Kz4TZ8vVgEAKZ3OtZRz+bPMNMEW2eNnOFuqGs/qM1SccB01Kn93e6PqT11WABsW4ykc2gt5FqZ1mkZ0VyhWCMm7aTWlctgbzjoeYMEhU0GNy83rpqDYrpSvIJJY73ZEf3QqwbIinwdwiE91GFCiZ1MyZxBZBznhivgfP9ddEkfFbA6XsomYNexjWNfwUdH9e9rp11PpkZr3dheo9Hx+Pt6drL1oVeWKqdNXiD1bOCzGa5Ime8exd0xz7b0T1vGo+JSSsTVhkFB6AucW++bxiczLuAkq5jee8KNJt/NqAzSuLuRi6NJaIwz0u0qexrfWxlmOz7Sh/yHPncNLgvUWWUUiANIvX9iv0xJjuLlwMFZVqCJvWAw3fTmI+cgkDms23bKn0xDSlJAA8TfDLjfL2j9QPHIaBiDAmrb1HVrf3v718vQAtEnofS/BjPU9Ka2BiZBpQw1XJGQPF5BiAlEiB6ngPH8/AgQakjaRzT2b+Y/e3Wvj1OmyMg+4TmKLQSoXdinC8R4FqfFSxbfyfPEjDps5V5joiJMfe0bVsSndnRFUCFOe0KPAC4tu7ClyzAob6SxDJip0kEStvna+JMGmmCRoZtur48oFDlYVZ+pD+7CDZa8K3GJzjb1BsadU/HYe+zvrRnD6AwAlQYiBfaokJthgMc4c2ib/mda59lTPO5ksYtAU7/vgDOfC9IxCsl9oqPUZ6jyxSVktcH0jxTbvfUseWwqhMwyUs9CT9kN6hlfPK42O82z8KfEjAXoWVylQi6v3FDUZ6LRnqHuj2UYEVm8fKdAbrjLYDg07737Bxq4Tim+/3DrOjMzWTyYhUaFglMYm0zmwi3H48v+P33f/2w3d8rPwU2DYFvf0slmzoY0LwCEt8/V0nWDiimib8wUf5eVrPHkKzapshNHO8nJlvSYbh0NPeFVMLSjo4+uwdIiIkKXwA5lE8wS7Q/vBj9cbh2EbhKFXqT5OZehzMrAFj6BopgP1DGtESzHBPTApi0AHniGA23zW6HEsCd9GtzANgA0GWDJUKxaKKvpnqZoTPKSX5QAKzjDo1Cu29HSHGSVIs0+mtSWBep8zKXfjmBtdz3LETJh1zTgAliah2SMzejyITTiJ3Y3rhJbgac0Q597+LHEHUpIUgM6d2hG2u8HtZORGz8VEOyfV5B7a6MIQl+X+9nDbW9vO9TFRaTf5JY/5iT0XswrKZVFE1nrE8p+7WXfV9kv6PsZTuYxkvSlRzPA4+3h0eLNd8LERoJrTNp9kVzaC25+EIBPHaMFcrfVqf5vONM6VZc4h73b7WCHIHkLN2HXU8vK8CSmcAJ2MoH+2FuUbUB09zHb77uk+9+ZqKyhqz2vwLS/NvtnnPz1kpL/FljhiH9dvCIoC9EljdTQKaZaDLDLQdWQGVWJmPwlbYVBsVNLeRvszyx97auTLesqTHIYwl4fs73bxEwB+wuIEJTSLWhtQ2v11dJcfIWZlxXbZGM0ThfOI5efHt9fm60N1af/5YsBXL/c7MEMDpXWIBmNgs+x8sBpaU8GePUAEvDv3/GImPBzq/JOlnmbJmPhBvknrwHE2/3vXLluzbnigHKREPzGsnm+cys9Ibd551AGOe5tbrLY8CcglC68IldocCH8gU5SCOpVtHa4C5YhCzQyuauq58m1D1AXMBMts1oE8CYGBSpOGKs6GISaXVG3fC+mAY4swBZy5n7k4uN5Qpmd/eus1612Xu6GnXqmWrXNH6KnQEm4HPwp51Zz6F4Bza4Qz8tdR6RuyFM6183JdLSx3JQLGeYreGmx3gOZrQBi4EbAlMVJdHm3LG++/PLbyYcy+tkfX4XqX133lEjvP3yBv4v35EifKf8nBntskik04nQb+z7c/qR+olCsfIgOCAoi4fdRj3XlaXdFTTEPbZwzlM0NDa5BhJYzXHkujGASpi0fjONBVDCa0OlL4QGMCCxGkUKNntT2/6IzGr98KiVvaENi3IWYLIhBQPxRcnOTM1khiHOO+LHSV0DIhlT1jUYSQIxPoctpG6Z8bPgJ1l7mU041wV6DzwCbLr5RBd/ocmzhCanVhd23lgG7DyAyJS2W46nmfwsPzR1IgrAmXDwjmFuh/oq+XpYupRxdPq7t4aB6Sa5AOHxpsy5ATsS4p/XYWriFsQWiZy92nxF0wEb9dyY5O2iny3FJHlNNbXn+yl5Z8/hplbU7ub8r1+yQMIPLGOCleG3vWaljEMs3lov8yJgiH0d7xMBxfF8qGVDK4FyAKEbnUKimZkda0s9eNkZsVUIkYuZvQLVLKsfIZF3VyTtX7th4Gwtup/RQUEDWhW8hQDRhFKVbof0dSYAyR7orIC3hR8wDaEzf+5byzGXF5yc9kg+l/KYLZJsf9aCnOmYx9ia9oVLOywgGKVGu3bWzlhmDTpxNY9mZtAclf/J2l2O+s0XW8ZDzPXERb+Xvpnmsx8PnOc7zpMUcE0PpiNuI6cyOAfEAugFooExXp5XM9MyCYYXC3WMif6IXNW+JjJfkDQFF6FbI2DsNWa5PqNj+VoW9GRNJjNjKLicGuhvjBPn+X55x2cpeT0BiHW4jvdSnIdazG0zyChzs6zdizAs8SDlebMwMdBJkSIsM/ukgbcAhPksq5mq8TYE5yHypjHrBumEfLhVk946x9T4XJVnFTqu+6yjjmMGI+qKk9NwUJfgRMswie5Rz2Fpf/AG1f1pw1dbPaiaO0CGMc/r4IjI6ryG0WDseQTzPd3F21yPwevfIczMbc970+aY4K7s4gMJEs2jrQO1bnEWTHnFO/od9SOsHMcENUabBDEsSb9bmy8jIA0jtWIr54MLRfdKgnwO+zM+ph+Du+KG06hIDizDgQmlVwHRPY+Oco/swYbnL8+ftlr782Az+XxdBpDrIWjXxhiuus3FCcpCqFYgdOECyvMBLilJX/TlMAmpTcB8PzHeT2fwoSrnaG8ATX+P+jlaQl57xzAfGjXDICIgmSDab0SIKGmyghOBDu2IETRJ4htE1BgpGMOhZhytd/dzEZA5HBQ2zdPUdBM83h6+IXzBJcIr4LJdmBvpU2zYzFTmOb5lXPPhBQKaRYKbgEaPY3BoORerqCy7sW/lXSyMrJmgOPOAxHAqmbB8lzE5ieFffDlsfHKy8zx/YBSt7sWmXteLEz0Wxu75xni9n/oecvNyYdbksPG8omkOVsazlGQ+6+YbG6sAL6sJ7iJ1y9JYM4cc44XxkmA144zceVmD9NmKHKQTzUy8lXxFMBddFpNdMAPUNSQCKIQEviGYnxlBR4IBA84x8Xh7uLlsO/rF98V80y3sfE7gfJEYKw1Zr5eDvWEBRfJpdGumYAZAtWDIdH/tf26r/daOQ9+xX6M2DkWh12oaKDINzDliLaqIj4as31XoIp/6d0pab0yW0Qtfz1kyvRzYhZHRwAqF/KWDPjN68RxUa04loJCMi9DyaF/QgaZmqasQYf2eNbitEcbJOoYdx3FgjgMnvdynG5p03dKWWHRZAOrH+4RFnn29vuE8X4kpUcYGVr9oNOOeZ21bHhs2QHfgoJ7Afz6jcPEbW+cVGizq7veVqSNEtHi7z7SZ65jmOpjF5eEzFmoSGMTPhLz/JgOd9lq0DxhXpLH78L6lrusZF8w7dI00tHp2UTrHlZ55uihWs9E0d8yMeXJyH9qNCRKPpox8b66Il/O6gqZcPyFowJys5rrhtwwiFWhvGHoDMC1FLWdx09oF/Lk+nmgPTLAdljCNyP0N5zDLhXgmP5tp2905dz0HrA95UK70s7SZ9mNpv8ljhiWu4JETHZY6rlaYHmm2Vi65UptY2jGi3bZ2jJayKjl42KFxaWqhRSvoBUUkcgDO19m+M1eBTLPuaN8KUqdlqCDyNXIZSzWp3fGSK43uvePxeNt08MfLnwabqwmdE2WV8FqxhTc08M73CE01e2JfWNc1cdXMrcWeXcHPnIzhedqUWQE0jHYAPTGD1Q3TxanbAw9N8+eIfpsaX0BqACthDkJStgIZ+5PnlEilfoGD0OiiUQvaZN6iC0lByWNOjNZwHEHEMmN4PDqamkutwT1szGuQpysRsM/VVDYHobHrhaAo0Yv5iLoNAF5BZ96sygRWnuz6e5cUMcFkBmMnQqBkggJ2Rh3AxcfTghoRAWMxbbbvvmadWV+AF4mmnBCEsPUDrV3N+OY53J9W2tNAYzqIBFC1H2n8C7FSxszuvwWcqONphxrN4WurHR10BmM71BTeoqN+VpBpxTQd47S9JBFCWyNwazo3Gul6GQuLtGqfUCGR/Bgaxjk1YJbtS2ZJVWRmPEuKgNVlAFB6p/WCyLWN0o65paHmO29Mmcp+/PflAZH6UhUo2ZrjKYBynLP8ttZh/qbS1ABFpWSLFQVcxrSte8Ylu4t5kt2fA/+se8EYEX9tq0CwMix7KfmdBDr7zcvfEL8gF5Ap3UzBcCzdVtShonzby2pVYgDQx0WZnmBU4L7fPBezf+97x/F4ar81uJUywAa2zJTUAuJYFFrre++Ha2/nHDjPF178jp4FeiyC5jFO14QCwHE89LyI+ZznAD8PIbFJ8GpjPpPJoTxg89YuZsYrkxljbAH0rsH+hFd5Ycwh5zhP9zW1sZ762ydNK4w5Jp5vj2BuKe2Zsj9C2eD7Esl6IAthx7yNVl74A+ayt+w99u6irFDB08RMrlryU97z5/lycENchc02p8YTXMAwQ3iwXoFmmKc2ST3nAkN9yA0alMZTpM/KDDLRhEWStX6L4m7R9DpoILGusulw4eUVzK8BgXx+mR1wUgKau3uNp0rN0HnAtmSeXObV6JZXrsDbAFQ8Y+eg9atY7yx0NgPO1ujCh1tbbTqsmOvBKpgzJcWAS1OF9wLCzNlA+4z9sJ4l1p/t2byCxQQiAZkvz1/uZsJcvufnrmOvvN5L1uEuV7evCRsnFR7ldXP3zPP5y/a9P1p+0oz2OthASELsmoRgnwlD7aUZXq9qCKKO/E6+mGrd4c05w9TII30xS0TQYQ7/XCJH2Qbpj+aLq1GYpY3ia5VfVkFq3DMxhhCrfiQt21Six8Ig8hAfOORIuUpYDzffEKkLACc8lCVhROiPA/0RY9+OLgDmaKLVNGlWSleSS05AX8eYClEoDG/yr1w1L5ZnzqPECbW5MHHlXUhEFXzdXKQzw+m5laftDc3yWaVASXUtJcKqRHBaEjy9oR3dTVydiV/8ii5ty+JO61ticu3QOx7dAZu8TpKxP7+gLGofe9PubwiZjLURC7nHbr3zS81/Nw1IMjGrdnNtB0TyP88RkXU/sVYTuBJfK6u5WN4fgI6XgTjdJyIhT2uhAfMMpg5s2uzmebqyBt/8upEO9XVfBse1CDxSG6lrm5mizl3QjrQX5LmaY9hKaw3czIRX0uaYRsTqpw3I3AmoAAjtOzIdVfqX+mvaPbs/z0NhJsyE1CS8FrDDadLa5WWPbADqVkOTmBzg/gD3tgMagCKYMh1q3++rf48zHmNiJDM80c4M1+SGAKpyheZfbJFpx3jgOJ44znePvnppM2sUT4twOCUmwfv7N4hGUsDXHAPf3v9wMEZkAdKaB5jSRkHygS4WTmR5McvF8r0lTbTNDRFKbmEvLviOYFI5fL/lzbb2R75RDQI0p/MyZkL7s+H//wqFWWJMDA0SxCMxyZOLVjODC70gH4mHYK5WDbtSAR5f/KW9tJXuJO33wksw88KvSR8kTV19d5BMEwgDZo1UzsB2zaMMpafZPSrGInwL51DLE5Z9SJrpoPV28R9lqDaUdY1nSzLU/cnMjl93fqhZMylDuALC6LtpOf39VJ+NcQgwH3Nh4P3+zFxInYM/f/8CMK3M5I7gQ4u89qxi9n1v/B7bGCLo5zpGPu/I5xOBlaayaUH5A00y1d9E+MveVgBh+eTy5v04Zdqbb9ndn69Z7IJ8Xc7tFBWeEAqlDQ+zdElu6yQRw3+i/BTYBK4SApcyA66hme9DA0yECWlmkC/8zQeMK1EyZVvs+f33RWKQ2zheYRbUOmGyadsAIwwAY7yAx/OBfoimkVUt3VqYRJoUnFtdEK0sEG3DmKIFYcYwxkDzKHmbM0PTm5irQIiUuHuGBGwok+JbzdaORrOdY7hGjppEGDweh/QHsohCMql/J6CZmVwHlkbQFsBVwVf9fTWHXX0GihRN/7PrjZqmEVFAo2YTxpjTMu4+DolJjIlf76vAU4DmstlINKQAKgjNDLjlXVQBiRCYzUFJIun1CHYAugbZMMDpGi6Gg3MjciXgwmL+aqUw7hn0LFoAf8akW4tWyIFtGrN8EEjy91miSn/mwi4BvP52Odg5GDOmMAcvYDRrpuxQtAMtHQrZF6etAGn5lHvaJen2jgaCCDnkfKnr7iRN9+wkt4BK2Zv5pF8l0ZRoXZhJbsBhosWhzc3bTu49Ht3THqE1d9Mo7TTmwhm0oHURhI3yi0ubjX5j2UOZWfP2b/aRa1Ga0Yl9ao46VlVIlMcsS7jLtRl0JYAmuzCyJyGHgTpp1xAT7dYvJtE2p0CYec85FEwe6F21Xxzg7Df8Z4xx4uvXf1NA+jX6aWse7Pk2vc+Is2ZoZFob7ziDmluX5CnLzOquBN+W9gKLsXVoiE1DMj29U9BjdZcZAxGJvuHLl9+27/sMpWdasmOI1QTvo2Lj9r00J7kUAVqj2+d9/+Eq5PP3mxKBGWYhdtHaUF0/a/o0E8jJXgKgLi8GJIR2K71TayxMDtNKZGsUfU8LYtZ7TzR/GWoFSTAaqMJw0wBb+72ddzEDUslAc72vkVr4ZWVRMsEVIAqU6IEuVKjvuXu/4Gf2fWt03b5XodtOu908L2el44lWf6dk4YK8x9aqCCLmZG8GG4Im9up1OSXAjdyBWjYWN9YGodupHW4ZuQeU5oe5gsmMHYJuE14pUKDzdJuSeZPSvpVXv5vTHyw/l/pkRrL4tVjnxjmKL+SPlCsDB/eHAhJAVdC5kzSvBzLI2hImRybJGbAFb0weaWRaLuYZtrilQQoEJ8S2uknAoUz4ck6yOQkvDUZk9QFmB55Ak5njjhnRccFovaPnRNdzgokkSEYerCXYBjPQjwOtnwoYVTPcwjyvmO/dlBU07uZMCO/1fmZ2admFAb0wXjpvsHxUyuy0ZHrShLA4/ivg3t7PAQbFuEfoRWJe1tJQiX0G9rtn/NZ8SNnGVSJtTK49O3sdKwH4E9MOLrIDtgaAQZbI35jFrsAiM8vr+OTDes25ud5TxqgfIAgjMsbAeA0cR5CR76X6+CuWzHgWxKl7ZirwJuq+l1atZ/7eegOmCJGcmdV92d1yobZhBZpGX3PAG78vv3NzcK3CCOtL/j3T1AsTx8sh1Gq7WiNkc6UMgINpWMZX+2/j3BIdo57Wv/mZNNGUHj3GoY3m+V+dWZ3LuaDClQvQ1O88r1rWso+wP5zXMbE1I8DuA6ZdmzA3JsB338u71E/bODajC60R2vO40sXGGCfQKIRt3BiHmSQ62Bqi+QPU7UIYnUGWe5rRWtCk0PxNPJ9f8Msvf8M4X/j9j3/F+/sfqiWUuo/jIbQ90bjJQ3yitY45pgSiwuKKQWpKu5qr3wCiuQHoJhA0obEDEsDBtNw79O/TzYdNa/uZS8u8gYGpxtV00gSVZoK3aL4uUaAXazVj2Ldlme9duZxVybTTwIvvKZLTWJmF7TZkDporvuATbvJp9SdNmlm8uWFUU3puvgj23kwPJtAfkWPZrEswNN7GYt2QNQmsAxb86CH8zTI+d+O1zk++t908k59t6V5jPUJrp0NLdU4zmLyb7HxPAGf7O86Qch7h+p7cWmmo9nmyR4gH4C4G69kWFgw6Lsp3Z59lwXTa5zmB1WebGe2w8VjOlZuzdH3e1u5FqLjwdiWAkANN/dPOG7UO8nk25dNmvvN+2/KCGrz0Z8o/Ic/mjQSliQZqnotK6Tvoev1uZUXlW0FCXq1+yaQPcoCx+QHq6u6HLCAouMvVjDnFdh62GwBaJt0RB+vmGCkn1xhyiFLHFEgLwEJnx+YlIpwW7GHkcZDf+/NA7yRSnZal9bnrskDGOdzXy7Rix7OjHw39OIom2cN6u7ZzYTjVx8iKmcL4/NjOyOPh8xXADkhEe1nIJqmrdaQ6yYhdc4JQAKseApegEGlTGmMqD0ygukUtGy393cjvywAyj1G0M9aemWPtCHzuB5wx19+SiU74hGRGXrWX42rKdQEZ2M1JMN9O/Np17OwwvAgGEkKYKlipbbg063OUJMywfSegqvl6sbESqSOjMYGOHoF/9FkHBKtgoEUak2xBAGgAmR4Hgd1v95SIjeozbL/ZDPrvCqjivfX3lSnflVvhYto/AdDIo9fuQJz3JwvSfNh173o+UH12MvBMtEQly0bP5vu8jJN2HRaorezXbPqfxul6vNSADnat+Ao2KikZ8ng5W8Nc9tgawdb6nMepgC2dP9HECR0f51AzZUJH7PWcFNyBt67LCcj5NwI8t6FrblY6LTk1BzoOMEwbaMFKGMzye46+e/QH+vHAt2+/4/39qwYKaiCK4EE1yBvH/K50TPsJCsHK6oMbzGiV/pvgN9fHahYs4z8cGJg/6tTASPF81Gf5Nf/44+fyzv1HLWYd5cB+VxYexF2fHJxuaAeHpl3Iw3LuqF/7KshZSxHoN/L8usEfIPF6sf5BKFpSVrpehMLGN2XLLQWCTlPSfszmwa0DGA2DVMkwAW5T7M/UhcIFVQmIBymqZ3MeN57J6sss6uzvfvWhL+O1msCm31eg2ZoKQpnD9Wnh2czUNvND/g4j+6hAs/BOadp3IHP9HsNQ6UR2ITNgWnpNom0mzq5K2h6i2g5t3+SJhqVeQZ6iMLE5msEHMKKx23Wra/SCM0mt83LKvnxPOiNW5cKOLtk/sTjT72cNIpfbVJty5R93ljo/U34CbC5MVCqRtPvKsN6VFejUz+u9zlttop/mP60Nr2+n4kVyqTrrRDQiTA0AREQe+GfHsMwU8Sy/QyTqwmhmyTpN0ntJCBADExOtdTGhVUDjEhuKqGSkm+I4Okh9bMRk4yaksTG8IzSs/Tg0alm/aC4vEiNOEco0r2fOr+Ubapm77JtV5knBqofpNm2f17OAWzcPyQeCEGv73RrAvDCSF6FLbqWz3C6ltXQ1PvYrsNK5MYdtMZ0BwJs1nNeC15HOuAvRrM9S74ukTg+yFpro+j6h6ETx8vzdLhDiQAVQCFaWdlkahdL/Lsl2iMTP93h09EfHG/+C4zjw5bcveH55JtN4G7fPp9pc6Zj5O8u+r3mD5xAfnDnZzX2yyajcMy6004CmXXMBF3Pai1cNJvIzG7C20gY7xWW5kP+9O5AuwgqiwtxnkCvgO2iJJcQ2gJfzogHBnH4kHLEmZg2Y3fN6f/l4AyLNfb49SqCNrF1JGPL6gt14LeNQAF9mWNM54XPgfc8M8LK/NnO1vkd/uIBRqyPP+eP58On0diatr1xQEDfZhcFIAFrSyRAOAHNGwB17R++Huoyks181QAZAqR+xzufAo73h6OIXKoDzvdS5KwbAHTSf09do4RM2Fh7OcM0rSJI1MYv5rI2x1S8RcYdb4WSwymzaTUn5Yj6un630HnMf86w00NZ+YkQzXcplFZLkYlut8B5LtOqPvjtNvghqVMmRgmUZf2KWXSLsgwM2nhO9WOdQmEbelCOlf5J1Fb+13t3XmtX9wvkThvJDV14sfy/jlekuM3gwZk/PbWi/P4rww8zAMgPJ9f1EhL5cv9Rv5xY1DzAU/B2uTOKmND+7vn9vaSvsvDG3ocxrbdZhilBta87qMf7PLhjg3CkXLjgj82bp7NiuezIUvuyDeeUv1qCYa9m5URUeLwHOmSJtl3WVfK+/j8v2OO8fLf+0PJtAdP4K/hKowfc7eDnc/wFEvds85/uJMUaYqMFyaQnR6UdDpziUGxrQzHcuiIJHvVKQMlmjPrn0gBKRFjPQI6UrYO5uouPRabWZvTXQI71P+QI6VKOlUl1b1OZ7Ke8yBjbzlhqauwH9KRFoZXyuY53H7sI43ZTrwX+dByH2Nnjwsc+/l2dWOwxkHpmRtZxQojGdyu/ApVwPfyaZI6IGOpowECZFTxpckDKUvv5yv2q7cp+8XyopvSOCnSgi2/YGGtk3LUVcLODCpp6coeURQbeyabhI3q6RyO6KSADV9A45ZY8CqDkxXpJXc7xEqt8OSbcTZmo6vj9JkP4jFmPgAyyqZmnaeANQ7ZIVXyemYUlmZMac5Mh7vu9mWisObloIQBYmwerbAs1caF2jH/U3MZELc18+U1viTKU4xLLE3ehdAmF354fXpz4spGa5Mx+yY+L9j2/CdBwdx+NwQP58e2Ccs1hxlDGzPbIcwivIy+O6PdQ3Y8Yp7xsZHTELj8ycbuhuWWOLb2f213QaQ5SsceJ5i/ouoCvyopqm0/MCdg1SxIxOIjghItCDgDHQZs1bLTRI6KdLzv3dDa1ZjsyaS1ulVmitY4wnukawK0KaOYVJ5wnmViMpLmvbQfUKNL5zXvm6llTrHggo3xPaTou6qxpQ/RvIFiifN1hQoSkcFgY7gJf5uvV6+AHDhZ8/ys/thDJ2jUh5LRXsWIA7Zg5zVnvGrJ+gfAqzA5ZO5BZj5T3pGaiw29PWqcWrCcctCFFkIQi+xyL/u0D+EKB54cM20XqHClw8SI8Ga2pHL+OdY2tkWrKCy91Y5u/+DEWEWlrqkHZNj2WR3+P0ysjsaglmFmwZkCrPusT/ufBOBUOkfpK2FzCXhaTMIHtWNJy4RKuW/zndTG01oXFq/LX4+ZyFE+S8mI3Pruz436g20737k/puL2Y6xswYrxOPt0e5p57dH7dlx3P8mfKnwaZJZvIm2YHEj3jP7yPq73Sw1c3iB26agMHwA9Odq3UCmzpftyamjU0JFYDQZKUixDMAp0WyrX016YUSqNac0eqNME+ptJktte0VAB0t8hxZ5EYi0Xzp7mOGf/pmmgGaWBoTpqNp40kf4H1fic1OwphQjr/L58U3W8zTR4vze3+3TsVEzU00MiNGcbi1TsDYmdeuB0dDbFpjOhR0mt+E+iSZH6hoNSvTXRiWzbIMvvqGCc991fUicy0Mc8/RN1UiWscr6jKpbbl/uTn96kx7fr8AGDtAayQ4AZgnXu8nXt9eeH194dsf3/Dt928Y48T713e8/fqGX/7lV8/J1o9+S7T+ysV8Muc58aITvbMDoOP5cPDDxjivBxUQQJHIU1QAEYhrl8pE9mLf7puttBIBSu7KenDn69vv7eZ6+b6n0zsmAb2hQf1bM/hSMB57Lda70OkwlwOE8WqucY9jzFMVtRsgu9G8Z3qVD/q7k2eNvmxCHmZ2oLkD0wCKa4IxKWuIete+WDtIKJy5RgAA+jValTNNNnDKhGtFmJZuQOl44zDbZxtwZmfY5pxAMsOixNT1hwi7ci5pIsJ5DjAb88t+dsg6F2HrcTxcg5iFbJKKpCU3lOmR5y9uNGbG+QMMUNHEIpgw/x3ifzfnwBgvsJrSBvAfGDMCCx79gffXN7x/+3p92WcoyToAtqYmp3nSdb6zsF3mowiP1ttuaMZ2TvPZlfaB7TmowBa87rsdCAZMo+V+pBfeof5NoK3LwXRQIecDGFEnkT9na9iCA2U+zMcymcqypwZZBGZdHbu8DbVN/h79bxcQKF9rFELxkfbTR/ZJvbViUjoSiFsBZi4rGHWr2vSZ+dSVZ13r8u+tOZCUr3tfVktLRiC3bCt0IJ+LU2JSUJeUZlkDKnwb3KUuvcQ/skCknrPSgmg7ii+0PWup0FYBaG6rlSwQLGcqiwXl+VL3Blzd5eT5ebluQHbFcz9TfiLP5kBrbz5OeQNKcJueDjJhLnbFGZUbIpVv3IGYrflGIwnaMxl4neDUTQdUrWkbgWEA8+hoCjoc9KSmWbqSspmKOYmAcAHi7EBTBkwNjVpIyZx4aUQt952B5uXsDUc389kgUKZBEW2lStaYwy5hTrQu0WcjVHeM934eYlwuufY+mBsPmKQUq9yfr2OfG9DrTH5qIYFOhJIWwgD2cPeWYFeNYq51swkA7FNrSITaUzr0fO+PMdEy9Ea0r0yutV9fC5CADAucRY/uJtL1mQTgdZyzBtPfxJzMFsm1KUjt7CXKaRx63ocx8Xo/McfA+ZK0JufrxHgNvN5feP/6jvev3/Dtm6Q2eDwekvokmVsJk7yd3r98cYmhMt+9dw+U4rFmNsCvnJpSUanPgOblfTMJpJZ27L7b38ZorKBzC3yoroHY0xTt3zyz3cOJzuX7ChNkfdH8ZZihFXD/8Xxgr9EVFWC21kQwY22f7OuWiHA8D2egLv296c9tv1JxerHxdyn0IDEJRCTBKjTFVWEYjIG3/WrXYUA07rU10h5uP+e0x0thWihSq7hfNse7muTSdWaakqCkAWiExoQTsVYBRIoFWzs9zbsLrNR31lOlDBAdOA6A8JRgd+3AOV4lGFRI5c1vUoIErZwvkZj+jjOB/mQpkEsGmrvfIuBPl/ya41Q3GtFqjhGRwmWORQg8vv4d3779vq33r158LZzW9/obAx58yWQea7o6u3fH9BsvQ8v1nIv4H2Vsfe/pnrHYCHXuDTQrWVYz8yzYEWGK+mgiRZO+eacJr3nMyl7kt06oz73whzagpECTx0yuFvJMliXJ8wYOU3RuXIGACeLrkZN8sjdA07puIDJrN3f8DOs9Bk57a+it4Zxh1XU3P8bfmlVgXVvrMxVM1/Nkoe+J59xHLxbgrjct9QUdLT7KDE99AgolQgS7hFuYBN/58bpdAa71TX6r9HxHtvLzq9CslCnr+Di6RG0fYYHma2blTVLcBBPiXADvT5R/SoAgl3jx1VdCmNvkX4gbhJw6Xu+tv6+Sdp4sTFlxFpbP8xyS24gaZpuuLepJa8hjoDXCmAqIDvU5oYGsxQvJKHtzbFFPND9su0V3BWmuR5H8GBHoiVHKG4SaSPyZxUSxmDLaGKv/jc29+J/ApdGNlNnUAEGtqXkulrFcihMf13LVOcjzbOlB8njvlmIBQ1TnzJ/LxEM1jJZHLaeMAJbAOv5eFTGZXygIPNPGNcKXsG9qIdbTQYix+M6NMcW30w4iTkIMxJpwwk/1emhI1oFRwqfDIgcGZO0cXaKLmu9b1j5b1MndWCe/ZQG9XfxEEsOegw/JoRymsXMMjFPzzWn+PtHkjRJgJEeQHGNinKPM4Y7Z+zTF5zQfDFVDCZYVKmMCv09XhjLQ9Vnb305rkgCqRiSmsievzbsCT2DRhqHuv/zdA4ptDmrv33eKSI/vf6t7hsDEoEsgqmvbAPFpbZ1ceAaI68AYjPM83SfUfdl790BaWQDm4A5I0Svr3r3v342UXemCA84GD/S2Ow+NQQESDVQJd15PlvO2Jc4zp4+ZY9aAdUnQQH421bNaKoefCRboS45XqmMFoDOKCS9atNFSNjCzRAgmNevV+4+jL2ZtpClPCLMfaEMA3ipYnlPzYPfQbrprgQoW74CMz7GvtQZm7WMSjFkwo2xGK1FwT4nGO5Nfp43xHBKNm8hB6WcsO+FLFa5WbWWZP6WBItCQS5YSyR5wyw+lpysvCYRAhwgbCzaopUPSwBpjbOaUPjcGHpWFVHcaMz+3c9butSixGTC5oDwJ4eeZXIRgvGniYVNQofDFR2jDrK9qxSC8TAWJJsC29jUSxYOxLg50mLf0uReeONK4mQ+n9S3zVWvAIFL+da2LmR2crvvQ+K5cbwaa9vvkKzH1Mc1xnUw4UM6uqtHz/a6KG79XblzfYgNYwPpOK8tyoCtdDDAo15VnpQjcKQK9BjIXre+UEkSTqibU+r07k+ac7maSwSc4/JVba3j+8kRTlzuenDTmtmZ0XnrwGzmarbXrn1F+woz2ekAzs6teK1rfS6p2EmJ75qPD5O5vb4/WMc7hmM7SkxBBJd/KCKgKvlEENdKKvG/jnEX7UHyHOBgITFZJrAAjC57CIKB1yZN51BDCkTOSUiS0FZDBgeYcwzfP5OB+iKCR1wjHl6cEHFHfxHQOXIDROu5tiQp5OQTSvZc5uJkf9hcvc5WAYDZTEOaLnakoc5vf6xufgSkHAoXgH6w+Jk7gln5l4ODXlRAShDHiLpr57HtX2g/UfiWmTTY/HGDmMaIiXQNaEwnUuY5p7jsF4FgP/taai0NX81phooYHs5ljuiY92/abtDqPSRZ2xBzIM+N1YpyRFmYnbPoMZc40/wzQZGgsz2Iya1EMLUWKMLPQ+Q1CfmHmODTCWdDzkQZNpqPSy/XTgQmu9HfVJAIoAXskWMx1j+f3xnn+MRBef8t/90dHG+Q+gE4bzSdwTPTjgccXWdtGA8c5cWqQIKEXBJpIqWPIo9j6xKVG1yAMXFGknfKpvTHOtW+cwFgGl+VczOcFgJxGQuquTAMlU+OPQH5ed1ChBk/zGYXTBU+Ibox4encAb9VSGGPCxrCIhjSDWMuvm/tY2tkTqz4janXvh2vrW2P0xxte35qnWpH3hgmrzL9EV/fouh7sKNruZ+aG9Ew3ic0RKUNwbO/pHZjjFIuZBEpt/1gEWgGaVufno3VWpp4POQK9Ffmq5tZjoj32bKSkGdK1tFhLUd6Haen4mN9oSu8bHGujCgEI4UupeyJZ2THMv1P3XtPzDaYJtD22eaVbtDXRyLrwWj4bhXvEeQ61LgKoBS2zNkT/jfxIHUYPzW2jdXJgncfrclagagKZWbIrkORftJyaC6lzALj6e648vH1fqZODtgUg2Vj21vDSfZbrND497k9tmvE3cxjwWb0XXnShmULz7Gyc7tOeDNh8zBw0tgbwUJoKEUA0SzVmIFBpz6G86AYUpkFUT63rPbI/NE2TCV/5CiQLztp8ytkY9b/9+obj+fDxLMDaeQgUoFnGVYWm63v+bPnTYNOSQGczhKkH3VqsY8b435Ui9XbGSRfaAnbW7+v7zvfzel3NU/N97OArDqDcnmFRndikS4Sjiwms+VfqD04MmG2zS7UGZLXSyGu5OKa71vQcAix6c8JkB61om2Lx5IheY048DgkGZNFDs9lF6ngZ7zyWO0D/0Tjvvt+VwmAjQJGAUR+E9PumkrnMX9oIcyzMek5TsO4TJ16VqSQiDzAQfQpiLm3iq4mkMzDxvsuYrGObGSSltmYybb5KuW2ASTtXf0A7EDVglebABEe0VDFxNWC5mItsijPGC9C0MsaJ8zUu9v4/S5D+IxYbM3aQKcHRxznRD4CJMEnWiwuYkiBkTqAth0amc8VPeUKDggVzv0azXdu2Fln7SRix0uSNRs8O0CsovJ6hl62+1J+jkVegtqclctiJsMMsRHIcANFIicT6fKlpo0p129FUsEau+QTCD3J9v/22DKJ3rNCoDehc6YWNb9FsJrAkQBgXqwQLOmN7cRXUiDk0khCiCpA45aTMptMZVBail3zs/OzoLY1vWOpE9wk4RLhiIDYLt1b668+kYppOa0MOhgWI4LedDef5UjPW0EZf5m7R/no15sLg02ltCs3kHYMW8zEwZjKb1U1yni+c5wvi/ySR3d/fP6mv5lJk3K/R/q/HWgI7mX60PIdy5Gaz6V3ZnXl3fEb+bsKq1przW8EDhJVT1lD6dV/HKvhR/gyNnAlxofUAbH85EJ+k50Jo0/1dBrQzD0EhgBKNpmrMaIQVw2S0ow60gQ8yjal+mrlzP3qcFWBLQ+8A8ui9RKXNn6fRAKORC53LJQNRs5xwixNGGVNrY6OGR+/yriH3WS7m1uo7GIkfRGWxBAvA+Sub8zu+I9OKTNeqwsiEiDKmOX1YPsdJrQSlf2lSIDz+IBUQUKVH/p4FWwC6vIbulWzBO/d0as0b7fOQXTca4fnLG47nIZaWXM8PIuMRkr98Gsc8nv9Mbu6notHSQuQzSFwPZuY4zPz3jfTq8g7ChVm62GTTuil5+27z0ZyTNXoZlypM6isq6umg0QmQSnm7tr8fBNJgQZmZaUcHW3RYJWpCkI1YiL/lcTSMwQ4MAAUME2iPFKzFJHZjSvt4qg8Qg5LdmmhOu+bV7JJXk2Ij1w1ylQg5hjGwRknSA52HcR3vO6B6N0W5PTY3RkhDWXitSxikrDGobc+mt2560o3B1HWRNJdZ4+MEXARaXs9Nb0KrwPmwYl8v0r4rsPbreliZhLJ3wuP58Hd2NaXOewrHIuEyAKlRYbPWp2rj+IIYdkxxPXilzfOsNvuNOloTG5fxOksepx8ROPwli2mHp+TgYgqpo+ztqUm5gXlGhGCTWLaj0kX7Lc9BX/wzHQz8gCkOUIURvNCj/D65aRVehKRnR7cDiFbAlfd9OaA2wPIO+JWDjvhyPzPj9X7i8TyQ1765LJj/ZlsC5mStcm6r74X8futo7vRyLfqGcq2YmKb7AqhXpgYQIQWP2LPrPUKHdDw1yA4Vhiruz+NOXf00VRppwizTbrJwns5Y+TuV7tlE88h+TzIvEwjBB81g1mDS/qv2A6gacg9653Nkvs9hfSPAjjVsvwgZcqAgTn1HYhTNSsPm6AqQYv6nHAZY/TnDfxMejdY0o9b+1/tXnK9vn5fWaTG6vtvra2FmIPkV+nVFO7fPoNIAub4KLuP7DqTac3nuXeCf9xMouShcn/f3uKWZne8zfqfKJ7jlSGM07hjnBAgej4OntMUi0JZxsbo3fQ3zdL1S6Khea6SuFgsvtlH23KU8ydNi/pvGF7XEfxlA3Zm9uoYU5N99zSC0mb019/N0MJmGnojw0LRJY86wOlBg5+dPUq5YPyoPVteTj0tZY//AmWpn/QQk5WBTC0IF5Il/KsqT5b1VQBbo2QNMzTDRvW+3PWb8GvxZK8Y3dHcnkZkUvKJC2ZQ28SPAHvT8nwM5/zTYlIM+GH1PG5KiywELoWmVASk+aQncXJ6j0AIGw2Tan9ouycuFsgBagw+wRJCdmKjPml+ImMOuEaTID2oYQdX2NKtvKgi2A9tAYTK1pNZKNLHCPGUicGi7SQMHLUwbT8bxkEBEzBwRswA1ORLzWWckKRjFMlZ5nuxQSNecMWhpU2/U7Xel+EYtzHCadnknMjOKajuvdNgkZ5KWBMlkNqREvjkXQtaVUTJJo9WbiVUGsjtGWZ7VhxsBWMdTTV7MuKRHP/Kciz+lfj+6mFwfHY+3R9EUmknzHHJozan7TNdNNruwthnQXNsOH5ckOEi+T5kY+rVlH1s91W+zmg3+iG/fX614epcUcbbQ5bSXjf5dNGvJX2IHukyjic36s+evZmXBnFUAEc+b+dBH+7RZFGF7d1H81XVxOagvJv/79+R1cRGiIA7D1UTTAgIZXeoH0GZzLSZryoysAY7UQTpObREMpfH11CS7gU39ks/bISz33ZUyfmRWNleBgvtbjpvgJI1cs3vZv1angjDRcCcmSM28zVeWGpUk5nPOolHpjV1Yas8zUxHW9qP5PXks1rbZeeIa1LRmhdkBzvPQSLVV++zpHZr0xz6zIJQH3wa0uJsba6flz7R9EKlPxK+TqKH3A3/88XeMab7qn4/WASjuFAD8jLkDjQWw2V7Bns7Z3359+d2Z4I21ROEdhQWowhajgwqa/NrCJ0ifEL8rwDJgaX6duf9bly/lU4ynkXeojnOYpUUCdTYeMIAcOZSzhRpBY22oAMgsEFIVAG6sRHQKuvEimZ9bvmstaERY/TiRBH+WczMDUHs1s5rZbgCJAc2jdVgO5mq9ERyU8UcGNMsYkwrIOMBw7uuKNVYhCVtDve1XCxWvb6S+kIyDtXFH09bxiL41IFlpVAEuO39lfyPtiRUUu5sE1XPqDlQfj+Oi2DNhnVkCRTvp4n6wtqHu8T9ffs5nkwicNCh2PTPnsSD29awAZiUoepMSpn0lK3HiKUzKVHMIUumpBzshEkC5RFJ1ArswG4Bsfm6RksTBYBPNZG7rHIxTAw+ZrT2UabJxGeeJXZaudhzJMbx5W1oxqSVlEAGaE703DIgAoB+HSpFMjJfGaYnueAES6XsB9umZVTLtv20kavm3YIgDYOaxz5/KDibmMB1WQZ0qMEzTVdrNtsYozM0s8M9MfTZib4dQIawq7aOG2RCBJtSELQf1kVduDuVFo1qwNGdJfro2VGpvEn7zt7RxmXsiEIKBSkgK6EzXnLlXUw5ZewZGE8FqpkkhTB4ODLbj/smKSR4toEpmAKACoGo2Vs1l/drkuoec2Z1oYtPv181kMGs4s0Cm7CevrzICe4ak5q0sB/NiYpoTYq/pDkoeTVzf9dHfKwO60p98hsw50SUCjYxdT4KwZAo08fFaXJmSMI1XwGkB1+IBPeSduGvbr/WuDI75jTloNs33sl9IAaG9LtdvdPiS0/PSs/Sbrq85NB4BM1AEefq9k6ZGCc3jHDUyrDWqQaxtXM5m6zENhAW3877BNLvxPca9OdCI801Mbo/jqe8Pn7R1jdW1shcCmNZyZfLs30y+oUTihznnqWtgeTczuqZrOc/3ou38rCW01dc5AODXM4MhPp77vWdCXs81rObyVvL6dHraq/btrlg01wow0hmbsKO9Z6j5kmkhx+ACKrMQw/mXbP3E6V7W88Hpg/hbE1Hx6b/0he+BrPMLyrM01WKK1jMpShbT9E4NE/XcydrMEoF20V7CqxQNpPXN2p73GjNuNZ2cgih2bTcz45yzANoc9PFxHDjHqPlRVZvsyoMPMMTue/7b1/BqKZTWhrWZQDCtcwZ00rQJS6VHyqOyNk7Gu/LEPJY1uWvXjcnstf1I32X/ECd6r6U/IsVJ5uVbIxzHUc6ULEgqexAoAs279v0j5c+DTTdruaLjfBgwX81n474FXG7usyhmPnB0fUcuoWHVOjz07yzv8A2hUimXItu6JjMZEq3YChgBCMhsAmZhRFJOVxxdoppS7ziOkOzYJqXEQFqdvVO5blG1yNTijWBT5hvfmLBmyc07TJNpxaL13jJ3bl7SNr6CADLjoL+5r9DCGO4Yysy4eL3aSAGSHjkgpFaNXLiWGey1XanC/WawDTplXppqJKkn0KnvWw8k64O3F+p/24UYOdHxwyITm4Xo2eFqPjDOWKZNb74i2llOc1YlmzdmImWsol8rMcsHVTazywTRmX4bG71f/FEaQGq+e4r/3NYi4ZOUHESpAMWhAivoAWC53kAh2DLJOzNaP9w8CMB2Pxpa3AEjo3+hdaDL3jAGMOhk9CNAUf2trCW3RkjMYJrbNdrsekgFnb5qLu2eD322VNO2gjLTAqzri6f4V4s099535+IOkJ5PFaj5kwABAABJREFUL7p+t3anCIfSBw060cKM9Dqf+8M6CysaZn2vgsPcztJ25frILG2ANJ9V6Or7F0DO5+broIkNBjO8LxctK5E6VUlbp1pDTMwqEW9tn3fOxq2cN8rQ5Xcy4zgO4KlnrprUNdVezzz+KnzblZXhAzMYEybQyVqEXCQNSjWhZZ4SGIgkov63b79jjFPH72Of979ymZOBMYoGBLgXEO3omT+TLDKYAWI5YYwOZRp02dvMyFr5SxATPb9s7eb1mIVp67luiotYTwYekzDev0aQoMIrUfALdp6LIDkCA83Bak7Lvubz+Z7HyPs/B8Y7A8/QTn2vrAIYa3rWVk5muZ7PC2LXgOZS/TWD98lgKft+zjT/zOyRa3uT1H3MwDknTtP06dgfvWPMiUPTzmVLwGIRBhLtplmHbWjUHeCU++duy3v/WF4Y/eXEh8uFytaZoGHlq6C8pZ991z2Sv0cEerrNNHD3LIBtrtD+iLzcwTMIP5Cj0hrdzWB2rX9958/ydj8djfbuWtaM7AjJ1izhg3ftmFki+ObJzBormKNGOG6YYAu9PU7x3wg1P6H1rv5ZphkV09euzM7QADJQ/8rarzA2ML9M01wxQ32ztKmquPTFqT5IQ6ifH/RmJkbUcDxkQU8Furm/kh4gApTYuWu5pdaDwoinfAbQvG6WarttDNTKSK7EMfIa6f1uUryATqtU//bHFsJMy3VC3oT7ja03egmzQh33xBQz7n1Ca3XVN6G+hDbXrhvYNJyrUCV1Jg63uY631r0EzNhZGFjdF+1I4bHD98sYUGMqqTeJONgJNCpDLelSpq8V5nxIf57CHKbLPFmCAbnwKLQfpKDd0qDE88r8jAqg7oQ0fs8KMhDr3MbcruV64/v1uq39oqU0YPmBf+ifNY++Y1BzubS5UQm4A0Ru4RC6KehJGrDcx6y1Eon2FWTenUHrQZx/i7WerXZqW13qPB1vlQM76GUreE0Y89Akd0rRobHsbUAEZsN8hCstLns+0e48NpZehRLe9YjEyf/d603gVGgD+Z4wWmH9KHPitIz899ab40WTzLdOEj0xCTGz9qw18pzYJvihSaWN3AhYfO4rsxb+YAI+p5xTLGaUMxz2tc6I1Ph6vYvZ9vEo/p2frYxTrbKOug/WvStClhWQAkDd8yGEwnJvzO1aAhBi+24AlzMNUP7LtIGdXeMYAvyoz/wqC+0AVe3awifpTf5+88tsjYCjoXFd55f2JR7G06/M6kIkfoIr3dQvk8HNBIpKs3u9p7gs3PDVlEBkvq9qHslzSub7MtC0axGIUq53imCcGWj2pW29H5gQS0DKNGxzFBWehuxchY5bmDLL32nvJx6WW6aZ+3e0BmA2zUTAKrC6mtOWdeAKm/Wsuz9Tc8kazsu1xN9lrWO+J9P04OOjHbQokXYuGlWL+s8xnc3lp/NsWtltsLWxd0zVj5Y7RmWH/FtreLw99Br8wPMVyRrgZLJrLQlAJwss0V1rIVFmq2eySz1sxRvD2UOqYz6cpONDzfzduuRx5KhjBROM6zuByLkmTC1hnCE57hpUyPwEbENk8z5ndHr8vdNots0zKwitDJhROv2cmSmr6vy1mFQxM4fRZZaIwWZ+Wic/vlZrdq8XhNLO+LQxQkg008EjbdImzCuIalNMQCxq7bq269K3g42BxiEpXQ5aZxBvxugfLeveuOyVDXHLn8WvU7X64Zcsa3CcwwE8wBfhy2coeczmZHTViHNDWatkh0OSZufn4pxNTLoKsNrqj5m0WlkABCQGyNfJXpBgn25ZkoJayQ9UNJhefzadTWOwtsPbmsDTbszWe7N/JVDHypumkuWs0RrnAE9Gf0gAtBXgtdY892tu1/p+2dsVlG2B6AK4jJbvzrX8PiIxy7TxzceOlRzbwJ43M+AqZNAjJvttWWJu/kAbCbgwyuoJ2lx93UJwkeg8mdkZXHsLCo1qTuVz8SVWEHqhb7ld6e/MS7ROeLQHiIDX++n7yz7trPPnicKtgblqG1i0mtf5muUeABgzImtbDk0Do70/8Xq9S05QMF6vr/+7MGP/UYoJS/LfBdDbdljohq+XruDdKpiQIFNTpj6vF5szz/83CURxBtrc2732fltKJdVQ0obJXiWARtDDtJ+JyIFmmL8aMJ3OyxHocvZn4EoN7ndpub7tHgezEK0iW8ojX7+ieJg8IvZB01zfJJrRhoHRGEB3NjO7GeX+hPXVIhTQ+/p3BIZZoym8TfyWNY5WfeAeG3f4ew6lV68zaTTTvjU/UR+rBbwO7ZMBf09B49YiWzYp2pvPKc40OAuyljoIie4q4CUIDhgDbriW1qQMwDXy+e4zj1m5loTQTrfSHlNZ9wXnrHvDzoMVaK6xcvx6Khd6toBZ8M+ntfspsAlcGVjgiu5nYqrKfd9ZMVnbs3t2P2Dy3cGTAq86eZLSBCRSjDnFRIh6E9NFCOj07aPtJEJVdxN5xNfzHOIvebQgVD42BvC6t6UwIGlx2H22cGY2rVSAZL58Jt0FgNZ6mIb4SktMK/bjv2o0rbt+T28edGE35naP1eeE3BiKLElcAWn0qn4mjbgfGgDAedCiMCrVMOC5gr+VubFrTpwpHbKJqJi2szC2GvEOo1UNpYLi7I9grYpcXDb2cQB2M5ndAJW1L+VakzX5I6CyMsVhzpTBguXky5I2AUN1nczJErEwBdOyPn22YtF+cQ7PQ+i/GWhsAQA+rEuZq498nAFofsm+PbCAe7K5SlPzfQbIskAla5Fu1xjq+tsB330b49mdL5Tf55rK5eUbDSczh9mq1zkLI3k3QCYIWPvRFvrV1BrFQRHIA3OtgJMo/Ed3lgVFcKbXLaKhMc6W+ianjLkba66V6fjB/Wt2ZXs+b9xekBi5FVBY8CYTwlmshst6Wtq9ri37voLd/Jy/s/dIRaIanJ0AtLyzdJR8KzBLFFpOprI81UfMtJTM6rup/8aJ1g8QCO/vf2g+0Ol1fcacwgAuJuN+fWV2037a0Q4rRZDDAUrKO42/0KA45fmF77D1mYULADzaZuEFqIFoyktbgFEDcwYqJg/MUyKFmfsTEQk/l8ocoXVsXfPSEoGnxu3I61zPfE/zmTeX3mcCNLMQElB1Csv5IBADpOuytcPHT84aOP0ugk0OzWNvDR3Z1BU+BjlgEHPVVprPpmgy01wk0DkTreJ0/0P53G/nECs9BNBtyl+vmtTsVzrmVeuW3yHjjLS3E72yejd7U34S7SaBgCU+wVZox2p5wSqE0PcyQ9PoKI1HNc2256khhIOL9VAWzNt6znxXblPm4bbCTuNDEpa4A5qXZ2+uXdr0geXTj5SfMqM14m6ADYBr1S5nomoCbgGLa/3SM9jcn5m0jwicrGjZtIkB4xmms/pjSKbIAmdMT2XgYeNTJErKIE5p2+PR0TRdxe0hakTSGA2KtkbERTuoEbb8+rwRPvFnzP586j+pUWiP3pO0jYTgdhTtyUcLcPd7Bc/3z1+YADPL0vn4offvJOMzpO95M4DV59OuLcAT3t74M89F3DbLfQAVgpbbIgeaXOsH+QEUT9LlGasymDj5DCCbxqRVzUfTyHRUcoxecY35EUQCYyXklk9vxNjYkSF9j4rMtI9Y/ZE51qTtqda6BNNgllybzoS2766rv2JhTA2eUvt2J9Ff77EAUqC0Z5MQiUikl2hXH8cfKaaJXEGJz1u/+jKudHXVZtxJQ9f975/J72QFFrszQe5b/95rTddr4xTGzvZDaCpqsIRL+xdgnQVo+RDfgbsVyFAxlWYfs+yHP5eAQ1KHpXkJgmQBeLIwgCnWTUPkx7X2FjBAoXFcx961m4kJEeYo2uQR1j1h+dUM0scP2kf140QKgMLmP+f0ta6RrIVaz7k8prFmCPPrGoCwri8A7h9ncyhnOLmvZ5lbcFyDgEbLyzhZQGZ+2XE85L5xej2RI/Wzgs3QXPvYzYU+4Ao+Y14AmNmh7UvjXbQKjxFA9ZS0FBNY5ngttk6jTvK98HHf5Ow1oYnl2hTtjTHupOxKgzfOtvhBmCcCaEaHQSpg5smYZ6UlPKEphoQQzqEg84zoq1A3HgCYw9bhga5BacSqhmIuKNMDaHCeStN2QXxWoJk/bb6zL+fOnFbqQOTZJKnz6CpkZ/k+FMRam3pq2+CqLVt97jPtbdQkqBMDecEEyMwYPtHHDwRCHwtJk3ZRNeU6RUKzzIrL1vOYaY1nVyyue0ivOb+6YIS177nkepgRASOnBciKMTG3QJoIfnpH09Oc+zuzL+fGr/PPlp/OsxkMBkpnt/enyS0230vOQquDlms7OpI3lzEZlrPOn7WNxYzhObZkwj3iK8LUrfgn6YGIJiYPnm+HGnonv762ycag9yz5zURE+64g0QlWioFtzId0IXwRZIPKrjOzi3Z09IfmM7JAQ0MCKRBCO1hMQlPD8xhniQiR+sEku/TdfOa/87U8jlshw8JMrsTSfy/mudFWY8B0Oj2oUCGMpmVkvswVkTEgV8EAiLy+/Lvf14zBJc/jeTc2gBEta9vSEJ/2ldiaD1UF2U77FmB5HfZ7U9oIsDDLWJvjOWDmjBN8LgQZzbWbZU1/57D/qxZjZAQ8MqgF4Z80Nfo10CwntzIGPi+au9DoUS7m50kwIUscLD4nizbU94eZvDYCRuwTMj/Bdp3/HfOff8+lrq1k7pi0cH8KICfm4O7QB4BdwCBmYdJK6qsfeHc2W8505r6NV/r2PYbWaIKPbW9ACuTgc7hqYhFjmgG89Y2IxEx7obW+PqS27zIsUOY++4L7/UDxNXXeYwkslN9vQllo34gzDfefyjznvhVLoZV+NuDxPIQhdwuKNCdq4itCh3sXHQGIo/zNM6LRTp6Ylm6FGef5EhDaOnp/4I8//lXTnUwPHjTNtu0TFi5TEkzyyphmqxa/F7gKWRGCFH9Bnqt8zi3F3lnBL122oIMMpLXraxUi2GcBi8YaONDk6Xs2+C0V4KR9SyTxPFo3H/4a3EuEEjOe2azH8Tr96M/jJdZRmp6iBa8oQOsAkYK9zZJrndCpKgPyuNs4fkQiL/wW6n5fNZw2rs1Mlgl4HGJdd86BMRjPR5e0KSmOyaH04nVqeiEOMFrflQSCuNIdUSokWYAuqZzqy2n1hTfSxZD68T3MkrWbpHWNyR7HpTyjfJXT+x+QSX0ILn+g5C0Vn/X88ngSP/AOO68AgIfE5vjZ8k8NELQtenjl53JEx7u6c/V3vn6X54omMzaDLSbx50EAH31PmMEF4MxMYfZfHDwlZyfHdTnM2P3Z3BwRaRF5XYmhcMLC4diuFG6ieS60bgGCWnOphhWLcip5mVpqdzAj/q7ewcpJlINDfSbWMS4M2aIVLWA+XV8JlUveVs3gTbnmzVqYp1YJk2sRJ4Ck1RQCpdfs7/xaA54L0xZzJkeAz5v5oVT65eaTBji9j8lENhc7WHwc7GADlQM1z9tVApnfE9oUXpiCy7tvxv0jBnUNUJPvnXPgPMXfhPkCnz9N2UWxDALOaC0YlRwUy/x25pwe2dH2W9aShhRR/va8cLNKk4FlHswnsLfLXvR79Pfcl/WeDBxXYU9u43Ud3jCVOaI2h4UCEZJ/aACQOzrilxRw5jaKuaNGoTWrizlBrV/a7lqyxR1gKxBa6MBHwpp1HNf7Vk3e2ib3VZKIFLCAZPZenxejFwpcPSf0th06ZOmcEV/Q5E8LgNRlwMZV8muK2ba7QIA0mIZU6v3ZAUUliqKZoXLN5QFLc91yx5izZTwBoD8OAKfczyqwUSF3WVtuhUEXwSAnYGhpS0yrafVONY8d8/Tnej8wx4n396/IOTcNaKx787OUIuS6Y4Ine5yFbLUGhFBn99wKRVcSwnbGLr/v6ETUEfRl655g/OSG7TSgCcBT2okAP8CbYUpqcfb7sLDF0VDwyUYDyf01ZUzI/aANUI5pYFfuOY6uuTk7MjMhZqVm1YbqT3tjxdGUdwh/zeCLsqInz7UDq4UH8zYvYzeNFzITUp21MRgTjNc58PY48Mf7C5MZR2s6rhA/1BnAsqc2lWi4WPg9u4/tIwkU+Ho2GeA0iJojuRfA2QAUy7Hld41QC6UdxKR+3RClE1d6FPXc81d5f7mAUtf/ZfyXGALOt3OY3RovOicCw9hEJf/qD7HUosnM7f1ZwPnTPptWbHJ2QJy5Mjy7sjIAtd76PX9mqROAohmUv+W3HDgi6tM6DDzownTw50C0pcWcNJ/K4AggbNcgF+k+/1BgIZKzOLTt+xwDr/fTX5aBDdS2fw7ri+jxu5pUFBv8OcXvYAV5LVT91oYY+2BitxscV8bsbo52JQsRMuhaYcoKqvJ47toEQA67ZS/ksWOuzI5IOpMJLoX2Ofpq91h9LRHXkJYZaGy6XngRrpR2JmCxBPITwDqTCW1WsKvt/47ZXYnC7nsJr75pz65eWQtQk+15mW9mMUm3SKE/IhD6KxZm0fZKSgD1FxwAN8lRaCaxTORm+iJQq4e3aeOmWhz0x9XsuM45qclopY1O97J2bNbDzk1nF2HBChqL0GmzFu4EP7nOu2tBX2qdmTHIgjeiOLRrndCgM5FmhJeN6kwFEaiHlUsOYrIGW1pB5e775TDPpqrWPuDS5uu4bMzEstMRYu65GApEmpQcNChfs/7MXNc6vi3NgQcpMVBAwFmFXLbmM9O1+md67lAd63UErgA8zlCfG21/O9TseOPP3I4u/uHLWvQx0XPYx9XmFTUPsDH2oaGM38Y43Q/Tnm+t4/X6hjlPzBG/RT2fE2xe9lcTocPK3JX9g1hrdMPY+tpJYDSvh7VYEDZaGGDjny6lJTqy8KLUCHzen5PGmzVNwyH02kAoefyQAAQLo0DJlNsCBx0EfmlOagCNOnrKFjDGxDxFuEGuUAimYE4GDcmjbm470rfa/znYgXRrLfk/quaxDNFVeH0ZdzaA2jBWpclSV/hcxvWuZu2DGWNOvD0OfH2dmCxCnU4ND0178hrDzX+BCjStDUD4kEJ6D3FJYseMdTrS2bWcY+muaLT57qp/7UdCDdZHOfF/+fe7QlSjHJeW8FUDWsBkov3rc7IWQ5ATUWabnjm0NX/f8oH+vvX9dhb+O4HNUpTY76S7xkjY30CSfG0YmLXeqGf96cr4riaFYSJbD6NcmS/IdKgDyYRB8wQZUfT26uecATTNHHbyLEF+CmFQe22TjpwKLHPY+HFO9KOBxwCaSrE7g9sMn1O9V8bwAc2FbZ3ysV1z0+XDwExG8jiigM8f1CgnpmYnKQOA9/Ervjz/m7/v9py2HzJnsmPQsALW5fl4QC9viA5RMVnMxGmt0g4jGb9q6lyJGr67KXnoWmqxN76+ftMm1cikBjrv0rDsiFDu57ong0AFAfM1v9F6ZQ3KCvSZGcN8Nm/A7GcoGbCj23qRTwOOrS3rCFnQUcff06ZMltQTmWYl5iAHpfFn/TuAxXRw3a9EdDF935nR5PvXa/n6blwyPQHg4HI94KKu9e/YA1dmtj4j2uAQltlvMqb3/sIZmNCyt3b3rt9LdNj0fW2zkaoM2gBcadT1pUE/Fu1mAVgKoim/i5Y8n/rOhukBULbtSbRvDpbzhlG0vzCNuZMFYWjymO7GsdCB1DcDl7mIf2Vauy3PbXxOCiBafNeTydpdCYDo0hm/Dp4Y/t3o4kA/HiAivF7fMMYoGihmLqD0s5XYjrp+PtBoTANDk4v1UyJbP1RsbxrTfHeWXMa81bUCZncpyCbrFtfC1oppHXN6IHNTyu9do4T7vQR3oWGw2JovwKM1AncCzQPtEF5ynhJkZp7s7ifUe0odks50Bs6XgNGjP9VMl0E80B5Haec6XuTgtNIf0yKuPBpRpDohIjdxrd2+7nPXLOr/CBIgiFk0sq9TwOajN7yG/E0PeZeB2cmSm3Od22xey+msy5ZhBjgJ+bxI55jSnx1NXc3DrSNZcFJoHEMD1IwYWztXjkUR0gBOAS1vz9Dk434Z6wbwGS5Nd4ISo0c9W68kHoQmLqlPLvsoAUv7PdPE+R/JjLZOzJVnL4feYkKWGaz1nsJArUBoOfhzcIh19mQDRfuydNQYEGrN/WKmM89BtNYQzURwoGmmY8wp8XtuO6kWdE7MczhxCyaDNaBBVG5gWTSZB4wIe3oMqs9PFqJ3CXFtwGaZu8v6T+O7jv1OiFDmauYFHp/2/P/3//d/92dXILQTHKzlewf7+nv5Owc3SJvK1sHIgOpiglU3dXNz5+vYOIBYpJ8XwKeST2OQjbiDUIQD2z4vm8tMyoiuPhXXR6/mhRdGLe2RnCzb5qn3XoLbuJP6Ssg/URGNhzGiEihs0kTj0OxYvrkqeJD7QeTaaivk87jsB9V4r5oa+S0YsmDOgzau9/t7UrF3rVo2X4MIzfodmMjr8yPhwk5LFXXcXLxZRwakWjdaa5rLFFQuCfZ+xFUjf/9IONNMg51BE4QpcQ0q0timc4gz86scWaknS9KJQGZqB/J0CLsotd73GdrywkwQoXVcgr3s3tv6lVHL91cNgP2W6Hcaj11ER44K4/1EmOfcrtV1fRGRR2YuwdiUCXINa06DwQxCFgpWDY2YPE6MOXC07gytmce21nGe7zjPF4rwUOtyk9pPWFwYZnvRftBz1IOG6CG6rhkDYbnk8+Gj821Pr+pe3dGOItxA5fd4Y3G37mWgnunrePhlVmuoHPeCOfGWtLVYsrzu03K0a708gd66gFHbp6m9MmYTL3UB4zfG8ylRadHILViyKao8I6azuwBBeczWvJluYruxIlvnjYgc4JgLiYEy880cc+L9PPH2ODCnaDtf58BDgyvZOei0CPBotDYeY97vM8MOAUA3oNPn7Qo0c/Hnkkntjmcy/19712RGL/Xs+VdpT+IN+Pq9PJN4sbIH9Tfba1ved0J5BR2BMUFLJP38buOJLyA20dt/t9QnpXxnQTPuGZOPmJVLWaRnQGUwAFw2iLRNDsSmIYhL1NtkIqsPgpBsnonKb2DTTKgQrQf4EL+PykjlBTGngEEnvCmK51p4DJBqR1ltBc6XBQaSYlLhvGgngKbtasnh3MbqR8f8hxlK5uK7s26cFYR8tBE/AirrQXVX19p2AFXLoj7ERHCft/yMpR5Z31u+60bOOQABOFMKaLS9m3b5YaSLJddPvV8iqMke4mJiuZZd1LXCyJlgpuwPVv+tK4NtzKS1M49pZvbG68T5/sIYAw88/rH9/BcpzBNjnGgvsSIgEi+48ZLk5+7rlgi6jekcLEEpEHtF5tnWEhfmDijuOrCAiB69MdEvSdmEixbxe3s3HzD52g5U7g6yKzjQH4tAS/5u5doHa8MIZyLGwT9S8mlf00FVZuiOjggwj3stCMfap/XZHSjPY7GWnPt4x5ytdZnEPteUad3KlPjAcOxl4ApwvY4uAlRP83DT7rVsBQ0p/6ozWqvZWYOv8fKuK7df/iSyfl/XLlHMw4XhyWtYTd1N6zjVHjmbvc45wgQuMX5gxhhqZaTA4/1dTWg1KBDzLPk3P2vqExAVelPWy2INwyyuPa1ROe+Y1RLBzrjVj7Mw2uuZvadZWzC4+KTn++VzMf8lFYq4zWLU2bP2xwBFU9/pqraUNaKpVCYzzFfTxmyMiTbUCqPDAemYA8HDaUqxgzwuB899kCEeE7M10OvE7B3UQ7AivB45eOTEhHrOyp0VmJY1BYoBwHUP39ENy7+d4wSK5lKiQp9zog3x3/z6ftbpSIC3U4Dj9WzK37fnlHHJfN9OuVfGnRPvF7Qu3afWZBcBn50xWVs8GV2cNzftirIdR10Xa9wNaQNhzbHp+8UFhh+Pj93fUuyI3Z62eoqQ1GjmmGFl9RPl56LR+sCjEv1Nm0xSsTIqAAohWiVXBSDdgKUdEaImTIlL69Uc1u/SRgYzFNouOUnjoCsay3QAChMkf0e4/ei/mRabL4ozUSkCrt9MBliHJ7D1CmvPJEARGRg2Aie/Nh2/Rk0lauR157HLrzfGMI9h+b7RgOUFuwLBHcNn47Ca8eX6avu+ryVbgeCuXWv9Okjy0RompgohUhuylmheNy8Al6ivjCqRSOFphgT4QiA3Y1P6lBfR2ucma9OJz0aytavX70t155xhH4718ruvb0yMUyOVfdCOv3qZKXKlry9lfGkVYwPOFF+J/qplIrGkmHDAmddS1nLvwEtrda+EMIQvtHLHrK1AKtdtZaWr1v7at+Wg9j/YaY+Nmd5QHloP5VLHsjccaKMKWLKfmAdnS4E/cp2ZXhrz8b0xuBOY7QQ1dvasdcgcxDCUezIzcYNhTEhxrTusEByMA+6fz4BrOWUMhO5lZsqnRGn9DuhmJivTWDuzY0yr1dHKI2SJfR77bGYr50UeZ7k302gbp6zVNUBZmeWq1TR/zTlViNRaAaa9P8BsUWnDSkX+zbLGPmP5SCiU6V+9dg8QdwDBfl//Xi1APmqf7IfKUxrklWsMoIGTE7TwTBKM5zzjeo654YIoggcMijx1SdaTnAWFKWcwwkpqYjovN4f8bpVIMDMJRGSBJZkheWXt3b7eE91nUnDDZe8R0dWizd9G/lmyQKTzwPNe2ni00Jiu59h6Dj16yvGO2LuSsYHBg/AaYnH39jhkj1HDiVC8mEazEal/a7wjzG03AnVxoLxe/5AnUs1x8hk3UBb3rXMQPCxaA/EAJintremZgAoaL+CuNsjpqp0dJfCatSW1P+MJOS8YqyJpy3dOiZxf5tNiUSxjZ/W6kG5Mp5F/tvy0ZnM3OHfljujcOZRHrkG9L4OmG/MsIJiLOSLPmUmAJKBPbRMAWI42OyR3i8PusfeTRyybQBMH8BzdDGqe06iL83EGZMqQDDVD7I+uNEY1IpPQMNAfh+ZzkjybcxjDKndbdD4jOK01l/RZG7MU5grUUSSD6xhnX6V5Vsn5TnBw9x6gMqorUM3P3B02d0B0Zajt+/fa49cTs2Q8xAo8fUMvTtx378paTiB8oYBEGxNByIILYnLvqMyIO9O7gNE7YP89pmGNcBaSvrhmjEWMU6y1OUOzuQMzn6nkMZ6D0dPcCk2pqUAkSrQ/7CdG/t1NYgE1n/2+gMXqve7jtHc6Xa7thDImGLG1udvXfm2hBfXd8VkEJ5bSKd+wlN2e593vrbaraQ63ANgoJsYAtlYKe1pl7VWGa3OmrmDHxwdXhnoFad6v3blzw4jshGY+R1uGZC/g82tEngfWggfZ/PCMQEAGOO98wbNJrY1LFi44YL2Mn9K0lItWwK8y7hywM+hgHqcIoOZ0sAV9uoyp5ya9akJ3wiMDnwRC7wfGODHGzoSWwR6Z9sf4nr9aISKPMJtL6e9mHxXBxBr0LwnTbK4/Wvdln7YrvxBAq77n2/kLfnn+V5hmcPWtNWEM8wQfAlYakedIzP2yPdI2e8tzrapLE/NUy7PgFbqlUXEwKffI3hJe8jgkbZ3txbO9lJallEK9ScoVIvRnx+P5xPFoeL3+D9JOBNDMwYHW0paLRHS5loP+GAjMZrZW8eTreU9EmiIogCwR3Hz2/TXwy/MBgDBYeF8DtNFuCnNgyFmwmgIXIYZpbJP8I68Row9X7GG15/HQ+i1UQkNYfqUc0mJlJqpPgiotmNUXXvdPOnuCfm/o/Uq7Mkhd+LFd+RhUo+w5G6TvnTcxZnp9/nMEbP8UM9pKAKzh6YYFdRfTqnYlGh5sJz2T69gBUGMGIsG0In6t06RmY4Y6OGumyHyBfKOVDpbJ68eB49Fg4ahZc1nK79dARKtq3MocjNe3d484OTlSImSthUgezPwipOwCKADLwSnhrmUcrIQte2bW6pz5vQvD5HnMKrb5EFR8VN/uuz1TmbIgZDtQugOa+XshRkt7ds9lCVfvVaKe18f3mIsV6OY2m8+R/V5y8S2mhv5c2RPpPSppLT5KAMTf69p/I36Y+7b5/fcdK++m3sDvkn7iPAfOl/z7rGUXknxdCzwZk8Ss1QBk3KeS08VvYg4JBLaWOHgIaJs9akImIrdIKIcr9lpLfz4d7BUsJHqqgCPTDPg1q+sKMOPm+v0ChpZncrsyDd8BW5uHnGLF3gGEybGv+9yvpe2lDa4dvB7wmZGx9m77k8Z/LDmVc71mVeEmp4kxWsPw2/tyO31cUfd0fR9dnrV2ZA37tHuZ1c2jPp/b4GstmdSuJYP9NZ+o99WjXEabQCR99zWzrD+dw2ziaRWs6yQDjQCTw1OcMA8FnSnKrEoZGjV8fX27Rp+F1onPa8UBwPudAePljB4zfG9Ns6yBUgATiglDT6kOf35rVrt3ibJn737L6/J/+d/+H2FGfc66VrSM16m5kgVYiAVYMmPVtdmPiB6b0z4QaXaDOd1k/jzPEkiJenNlyfE8wHPifMlam5oujBrh7Zc3PN4e6EfH+ZKoxznYWevN2wAAz1/e8PbLG47ngceXB47DQC25VVuet5bikOT299Yu9xuvaGCPWaLAZhNdT6ViPGiq14Q1JoADZC+9PQ68n6PQ228andafTedqTxYZfhainm+2H1ehRqavd+skcAqURi3WXaTrl+M+T1GYNPjUCDTg7nOyD0pzFh42XUP4QJYzuYUv+9r2XCc1Akbi45P223/HegaQ+G725mu18DQepyYCQ07NEW3082fKTwUI8o6gDorPWSOZnORr6YfCQjzWQ6Xce/N++5ScRuyMj6HxK6MiIJZ5uukC6Xta6zGYiSuwiTPC0bp8b8nsInPpczavwt97JODjXCjAnb3tgEQeGy87/GI8haEIBkd8NUWrRETox4F29BK8Rkzw9P3JtOTiQ7XxqcoLv/KNiUn9QOPn7abKCK/1rIzv+nzr7WK++z0Quavro/f6QWX0fLKb0WSmy5+58Zss+2EFIgszaPU0DkCQiWMWeuzeY0CUSPyEL4z8UgzcFlCZmDQP1GHCF65+NCs4iXrFDG28zk/NfAEo5lFArA0ZW4BbzLH4x0mUWo9RMpY9nQ70PKbGHMlevrbDAVaH7911P+Tih34yscrMGTO5pswtDxZh4E5YVtZCBlp2mG+0YxcwtLsnmYKuQX7y85bLOGv5inAlPVPOFqR9vekbz3R+6f1z3o+vvbe2E1tf6LUfQqeXnKRGaxLgXIVHbr6X6pHf9LKOSR6bTDeAela6tQ7EhI04PNoyWFxpb6aZ3p+GEizFJPw72mjtWxkhojAz9POl0KA6kXf038CogE3RRtr1maT1EgBMgOhxPDGVrsX8xj3mq/nZ6Z2BRyvXM01ZmbTn7T7jQ1JlF4uMNdZGqdsC6G1+d/pggqHFfHe3Fi5rjyQoFgC0R8PxOApzfwGnKZclM+N8fwEIN5Q5Zwma53l/l/XJLNHbLQ0fMWGMgYMP8f3XfWgg1/ZRUwFl713rvo5HBo7ZnHbNtwmgAE0fNyQtISrvs5reAgEOrR4VyYjp7ML3EROeR/f6X2OAEYF/DMSa4Kunax+VFWhKe3Fpf7YEm4oTjMebyeUEyVqElIhPDXZVxiP5x1MTVRMzJHuEjecHbkXGMzgvhr1gJbAMX9Zk7qzfO+XcoOWsBzJ/CVDSmNq6zyazUP7PhexTBOW7uCD/SPlpzWbewPCDKA5sZi7+gDwZrJhLZVmlvsrM7MHOfVtkUF9q1rcrq8+gbN5N2GUlGMejQ6KPUQJtcA2Pv1hL75XI+lfrk244nhOYwNEO7/PxOCTM+pT0JiXgwyVCZCyqMG+r4yfvDXAfnbuCcPvMQNK6pvQqMaghSdkxjDvmdwcmd2C0MPQfMKsrgPvRsmvbZa3oXJM7TlfAuQO/H/Z1cmiYkyZfgP/KMFIFekmCddcfIxBrycSq9Nvm8DtDl2i0hnHXKKDJX2DOUyS2mvv1IwHRX7XYGI9xop/ND/95DrRnu9wn48JoUPPaaeD9uv7yNdvv7bAciroGkrDKmG8/NBYTsxVo7faWM4Pp7MjAzqswYVPxZaoM1N0+35ncrn4s9++nW6C5I+t3ezC3decrvgOauay+LGvdDqaySWveNHZv0YpUabK9exdaPmteeC4AeyKZv9bXA3QZz1ovuf/YSteMATIriW2fkdrvLiNUQGdZHwvgBEI+SyRcgNedD5yFnuxoILMGPzIT6FnzabsgPIFOsAX8GW4OabwLEamvpuTdZDWvtecjEu3nBps5evutMDOtdRcYIPb2x4DSNIvK7Ge69WEgPEbGl7n+rCnKe87pwIy1ANLYCnoOe6ArO/spgVrtv1mguYBRgebU64emI5GzYvi7x2ugH6LptDgiPCaO50M0qWNgjK6BdhJQVHo7zwHqsve7SnjaYllgQPNIQWpy6pBchkZUNzNfH6cENM209UjBkXI15lvp70fwx9nk1ulAApojRTjNQDPaUcHilugjzT0rWKb8XPBtZuZq8xEkhoL3X4GUARTg4kNfNP6tgWZoNAvvRmF9to9+y+uFW19PXsboMgZrvdnAcmOGbmdQxhh5n3Bqiym//t18NvOAZs1mLrd+H6mOKhGjYl6xgiB/biFOUIBrC8zy/pkWkjRYDgAnJGy5MJd2EjUlDEDrh2pAcXk3Le9vRJc9sQJlMX/UyWsd3FjbowuzMZpqRscrFrATKAageflaJ/RDVfcGMLsSTwthScs4pbas3+0zgmks9xKBz5D2muYhM6Nuhob4u7wj+33dHGA/Ah5X0LkDgnld7b5nQlDqywddAp132o1MDFYQEXVHAnaT8K4AgXoSZkwWYGd1JirqAH0J1CHfr0TJmL27XHTMwcS6nyclSmvv7A2NxZg7d9DB1ajj/tnKnBON1Jl+TtAQawjp/2LeY4S6LfTNE3rrQWtBy2zIOGmXdS33oxWGrtDCD5g5YA8E1zWQTUfXkoOn5XavtC9/zxYPl3aYbG6GqU85R9Z1i+v+tVJ8klvQdXt2FWTZFmo9gaKkOSuf3qV7i4EsyFmvSd8QWpdFKCn0JOqaWXMCVNPYTVRE39N8HZddO/P4Bc0D8sHmzDVECAo1v0OL6LpWRx5b80s3oXJO8ZLvz+4c9mnAGXOlnfps7gjfcRn6c9GejrQfr1Fj15omR4Ta1jq+fftdhL5sprPDTWirVvOTAs4kSIhxlEsrnTDQeF+VmtF+eHYCxAyiewGJ3Z+1hsZ7mGWO37cw0MFgRydsDZuVmPNgztcEzbB93t0F4ij0HLD4IiErGWNKPvTlnf0Q83rn2RbhrLfHrQ2kP5Xn0bE4It2WvTfTRbWtgQG24l7wQRHysloxXe8zoHiOWfiRiZhb82UkEM4pQHOqSezqH8oKcIX7iOvCW1ecweqnufJD5OOT+2MWjQxK9MrmGCBwI5BH1s68lLytjk9YA9l4McN5+/W8ir+vmIhrQ8s63fFihb+w7+uZnta9TALi7NVnMy/udRiPahjFeDule2fi//9M+eekPrFSmGIIM7SEMnepvEsCqkmZRWAsmzBpg2KB2Cvrps0mVRYhzUxK7czpjwZClwMkMclEHcejC1EhFN/R0gf1mVoXUwEYy34Ok1sxNXCuIg0dNUJTbUZrVVLDEAmXRf40SXJLAReAlPfTJXRaf2rfWiqTVq+t920ZzqWPzsAuTNzK2Jn05bt1ffDeFSyvB8t6/woK19+2fVZryCDqV0bY/m7tWrdJTlcT3Aw8aSA05S3yVwng6Ek7mRh1M8XQQAVGOHd+Kt4XJyK6XRdzj92avphJq1l5ax29HcHEfsD0/pVL9sMWqSF7cBL/Nya4ibSZKZIsy9jos1NPJDcVZF0T5H41BjRs/sY5hX5ZAIibMP8mEV99BTM4yBo0o8931gMF3ORAPzef/tyiLVzX4arxXAVAuR2rIMnu363rAoAWRiJoWm1fieL3oTVHHe/oNvne+AjwlWKmcS0kzLmOLARbywVw2lpQAciu7OitMTA2Pttn0jlqZmSrSe5KB5mDSYZrlsJUd10HDq4bytkwaZZcr7yssR1Nl0Gta01MX1UTqQxbZqLOU7SXtnd6f0jTx0haTQGdY5z47IGBciGKVG5W8pzPWaO4r8I2AFurqt2ZuTuOi2BNaWqlD/G5o1n21du7iQ6d77NrBjRtf7ZGIcTf8IKr3zgg+2ecQ/KpJxp4vp9onXA8HwJEATzfHqDWMM4hwdpm9MnXf+J/ofRhFmsJktyUvcH2s4E0+8x5M3MUWhdwrxaGmTcFAZStc9I9JpeYASqnBv95nVOApY3ZMnZrCeAY68j8UXf8jAHOVXi0256UFswKIqVPFdQRxb0z0ezMH3Nirh3kZr9GDg2i9Ts30ICd82CbPXRpfxrDrKn3syTXn+4lrmPISbuMXFeq23ySMYX+nef7dWD/gfLTqU+AejhZiX7UA1KY16sEawU6dyDBmIIsfbIFKvfNuJYG0M7i1kR6yeCi2u6PhuM4RMPUWgFqqbGlzU58rjT1guyiz7w53rWSxDAc3Zi3qB+9YwwNAc3sC0YW7PTxkQi1/TKeRORayDzGdwBu7UPr5JEar/6c2jsVGBhhWk3x7Nn8+SOlHDSZgcJVWrTenwHUXV8vjNzyrJtRq+/djmBeJVmZkcbl3qzpYobb0lsJ/4Ia2bZNwhwNg9R39wQ0dGPRElwYfSdml+Gq9ycTKgHPDZOq0zpRw+N4oh8PJ3br2H2awqrd0BxVc7L7teaSAVT+DPCve2Gz1jwBuZslptdPgCSEqANLIpSIkSswW/e2gOTKZNm+5MkSjbEwczfzeEvXYgzWwD5lPyz0ZyeV3YHOHQDb77PFCoZQ6IQDyYV21Pbed3nHfDO4+PEULiyX1Yw4tz1ZHzi4R6VLFvQpA2oAkg7F6p0zhFvL87mOq5lk/d0YWzgTlOhV0SJeaZ60ycz8GBnQ+u8r+FX6JdY/YlrYH0fxGTVg4j6hrUk+6rTu13FdhRT2z8xkBUwe3gczoc3tdT/Nz6rJXEr4b8nfecwLuFzWuQjLNjwFs7tM7Zhor2pTgq9IdA8V8OT5N1rrKe9amMLmd+aAffldFs3fMyFkgOFuS8kiikicDJfSGoEfPZ5jRu8d43ngTS2lmBn90V0z2x/d12zX9HbmF5rjcZTxpqAZnLZaAZr6t/lyBhBN7d3Qfj+/mCs/TCFM6A04tY3mg2nazpkmibRprPUT4MGLsu+mzaVdI85a0DTXZjmx2ZNBtjY8if3oYxh95tbE2NfpePh2Mqv/pp1fMO3mDHo9QxNorgrft+7cXVsUJoqvbL3d7RUBiakeO5pvzlkDmSsfM5NCQgRtE3Oe+Pbt9w/78r3y581oF6CwMg7LnAbTMCBpA3aMgpmoOkNSn7+0Id1rJQ6dUGcHsSBNago5ZFtDw0R7HOjP7jmRjIDdM1ypbbmjm/bkg1bqW4lFmE/OBliiYHuWel2wnZprvUxtX0JTQ4AAEWqy40YlJ9U6ZmYSG3PRLvdQa8C42m3n57K06M+W9UC5tHdhZqW9wTze9dHW4F2uzyshvzLs1JubwS1TXw9O1TwC8r0BGOOqqblrq31moum/kQQ4oGaBA4RBlJyXA5pDujJeRXuyGdObwb6Tsh0akKodEpb9I4f4v3qJCJYCOvcgPkBjA4AUVCC7BjBDg7dUMCFm/82FRnfgnaeZLl4tPHZraks3N3snM+dZ4kmt7QMDpHtXOnwnRNqBw2x+lq9fpMGbkve07OsYczJAWfp0Xfv3PqX3NIwT02N1uKYumalehFZqjbIDkHmMnJE3motZotOu42j0O+ebXGnoHFf/zt1YertMEzmDQYQx8mms7ujYjm6sdG/Mmv8w9xsIOs+JbuZ3SZ+HM3gxHmnMdRCEaTrBPDStiQX7EcBpZtjn+e5AZfq9JzjRAFtLn7nkdbRuQUqLK087Mzw2xX196fxb1shOcJH3YT5f11d8tNaykGvVTso1bVtv6F2s2+SMbX6ukf3N7BYFeU3mfbyCBUDW8vEAcoCfVdBoQStjMAmdQuO/taZLfpJFY2l1MzuwDLApr+gbs+WdAHAN1rNqQTOIlb0oYNBIawaG+Umn2/ksyA2E+Jd29WVtzNtcm/YOhizAYM1F0JAFlVfAttHYJkEZyy16f4wRkb6zLMTg1+I85qD943qu7Y63dU/k4D0hdDOrmqCVYlEV7UuVVMCZ6GsIkdJZaia6M+jqGOPfD2zmYtLd26IDIVFcryD1jjkKwkK+2QsgWp7zg741tAWkWQRZIKQhjQjtyxMAXF3vbbrzQ7B7CkO1B5hNc1xeTRTsYIUfctSAhu6SibLgeiwwbrO+Aw3zDP9O74NK5zKgLf1LDGKO5ItlPqIRwvjcCRlWZiXasgefmSm8Y+xIQdsOXO6u+XOL+e52vaymoZd317Eq/eukwV/2wM0lYIspePPIBrtxivvMd6A1wlD/Yxvj8aomkloBiAjHs+Fg8yNEyZ9oprZjhAmORHyEa7wuoLI38Dnqu6BR8Z6HmnhGZOYLkftMRQluU7NhTDM1YU2LU5kkMJfxv1ankvix+ngspjqbfZUPBgl6ewVxK+NTBHqI+mX/xb3FSiUacmH2L4deqjO3c72W/85SY6M/+bBex64woQnA9xQUo7xqmY/vWVJkemjn1Bz3c7evIwQGd4DEmBmjH752UiAdB16o52sB+MuetcBByOtD6yVQBYh2Nug5183VgVd6lJhFMmEdwASNurzXUNtZoiMGZhOK4XJfgPame0JozpwTDXEu5xzZmVnL6yQLhar5+wTPlObE7xHa2PqByRPn+dJ7a2CgLVf4SYuN6f3vQR+YBUCES8B9ueyZzR7a0ry250msGWJJVbX+xvvMGUFQWm8RdCeb+3exautHcx7H37f4g2ewekfX7HsGMNwkd7pFaq2AuvIoJdDRZBwHoYBe5WVz3nLTXHo70/sTGY/2QQBkT9YSO4GOvzP1M0eiBQgDE4P/BUf7X8E80Uko32RPQoHBKBjBwKEcpdNd06xdjaq/a28dR5M9e6pwyNdBCmBkffbl269jDGAfQCrv9R51M6NYblID5im/zRZRs4GJP/74VVOa5TOpnpdrQKRcvC1zQ3PM7DY9b3R2vcY2AWmUALOWu57RwSdm6w8JZGU5h1+vb9s2/2j5STNaIDPOciiiHHYACtPNKiq4Mim4EB9jQPLmzICobB4ij3Llpg+uIW3VsRySxLc9egkTXUDmjhA20v5y6fd+bPTduDJq/i7E+wIkxjjFc4np4OaAtGnux0FmhuCVlfGzthfwmcY++4Stv7nGKjGI2aE+t339vv5dGccKOFcm2cbA2p66pY1O15Lv2RpVcgWcu3usnTsGfQcWiEikmwo6dn3D5BLsBQCg+Y1u+FRfm/k9xixmvzAnBhqOeiwBEmwOqUmwqCDAjGNGoAAjJjMRGACLX5vkBzueB8Zr4PH2KCaDrTf8+p9+xeN57CUGn6BIWoSBhgMSwVL2oWkEAzTYuJFL+LdRRgkhXbSDe/HF3B36Rld3jNcu+MMdWPU26BfKmzE9u9aTOZcVvO7fUen2nDMxSNGOABDXd+exKG1ruPTXmldAZSYyekPOEbi8qPTpSiMqXXb6sNIeo5WdMM7lLAQukQlvwZo1C0A7SAVGe1qZmWOAnJkqZ7TSkfXZ3NcQANjfQcMmZoDWOT19BADMUfvBzELvmNW3XNtpGn4NxCKCm2BqqRGIVZuuDI/7rE8R+NS1eR1T2QsNOV5mpZ3he8nMhQkW89qJMUWjOS1yLfI58LmBpwnTyt/L912gE3vOfW4X/6ILLVrqJX+38EV+b0Itxif6vYg9OTVSel7almbEIr1moEkkOTCfbw8PtrPyNDs/TaMDnnJv4ZcK/VE+AMxokyLwDwVfmMdFBB8RuDKDRUCB8eNAf0gaFAOZbeFfJktKjhifVMed8iOVlRcqY5LuM+D5+/v/C8zAK0XhzUKxOSeG+gATiVZ18MSYYjL76F364ABUrhvwPrrw6mOKPygzl+BDDgqTksHaka0evG0m5E3WJkb3LCBnocFm7ZCCAo0RfNccRq8YrV2FX+ausNPM7njM+C0BwQwIVXngWtvUv3DbifnNY5H7FSlcKOplsZKbcxYT2pwO6s+Uf4pm0wDe1bRmf79vtCSd1ooSkLQDMhGqO2/HDVAQ074pUfVaNR+VSK6H+jbqdRaJBfTAu/ry5Hffm9gSKrHKbZT6AMsjVe6j2g/3T8gqVlY1ebaOdWkwl9ya5s9lf+e1vIK3HWj0v9dIpkQoEb1uJH3OnNqLls0u3/nyXG1DPTjW/ZgZ1dWMLwckWtcmEcI0DJWwru1YCXFZR00SswMIk1ns+pnu3xzSO2IvDxD4TOtw0UCKf5PUL7kuK1NVmf00RrlNR5eok2V+4x3znDieAW4BYI6B13vk1pxj4v3rawusPksRQj0wBqE1IZsizQ+wwZPdf28FFHlsmgUSakmibIekHnpYaeNSiPZrdJ13v38nsNnWe7V6yGs0f2YNwEfANte9tsesKnbL/+4AvtKpBWAC8OiDObm3tfU2rUoWspjpeTC0Cznb9sXr2IDHHaC80JakhdyD7AxaK71yjch3/ITKWWnP50Bzk4EkJL2cD03+5ww/M1oPTWdud2vNg6CV9UHprEraU+cNbJATrcvrzQDEuhZKYCGNIGtg0oFjYtzmPDFGw/P5BV+/vtxkNn/mMbtbk5+pZAEaEOvU528dgxXN2GWjYTe/51LOqgQ0iVCC7AAx/ytvU/cS/F4ghHnZZPV4PnA8j6IltN92cSHMrLbQvV7XpPOQJMIhB7GtgR51v657hVkiuRbfaG2HgYTjcaAdYu6bh9RAXy88TB3j/kHY4OKrndpz95v9br6U2VoQQIlIm98/F+0mUF3ADGjmcWJOPpxp3FyjuQYI2ghKLrSsR0A9F6IloX0+B8VE1dZj8KQrvzg1BUoWQOY2XMoCMjNAjnqvdTjfNbPSgUEtAccNz+pAFek9TtfI2zOHpfSZGOcL5/nC16//dhu47kfLz2k2m4SdLtf0ADNJgKN6zR3XUscvkRVvAJp9z8TPGaK8+DJoaDKA3d5BsXn7cch10ldumKAMMtcNWNr1kUkkKjCMhZ5vqIT1EnCjOIgyWk/MDIl2lBuHr6czBJk5rG2IICSW6zHqy2VdsJTMHNY+r6Z0ecNlRi+DzlvG1H7XPn9U8tlXvifAWe7/nindwlTn6+t9gAHI6RIyykBDJbIFcB69+hCs+3eym9ISUeTWS50r63EZ+yz9ysUIi69fPQw/Kk50Uq6o8xw4v70wxsTr2wuvr+/48rdf8PzyxH/6P/6nLWj4q5dgThNg1HmkSWh032kxVQ7AU6SKaqKMdc9/hzGTtshBve6lHROzBvPy+5cDNQdfW6MdSj3X/Jy5TfleAQM1OEfp+6jMomkJVlq1fr/QpN1Q3YCkAgQ3TFWp4mKKH4/u2rirQ16TmWOSgE66xwHb/8JEr3OWNX4fgZztein0wpghYY53QiGn0emZXfvtfUwmsY+biWfSkLYkYb8K4O6YoWXwxIxLI3Xm+0PgoZoitxoxs8AZABaSpqie4xV4EhHGeCm9i+vWlrr/Ze991jJHaKDmwgD7p1rFyFkjfI6P2SpY0GKmtjtAY98NUK78YbwfIhz16/G7ROI+/bo9049eaFF/dI8CaxZfhQcz7WM6u61/7bhqOq1cQJnWm63q5B3Bd9UlT6WedqjCoQNAD7Klgso5GF05eNPw/aiwL4+pXTcrv5W/WwWZa30NwPgHD34iMc1teg4dmgsz58NsRBiJXoi2VtoZqQD3wrUsUNr1xWiwacOlTYEd1jyVDZHj2LTn+aylRqAZwmKjpx+dD7vi9DGZBu+AZhFwq8VHn6pdMuVQaoMELKoZA7ZAd1bzWfFbF7DJN/6yP1r+eT6bXLWbpSxmtH5wL9L7It0i7G31NwfvuqhswiTJbnpXU8lQU6B5kYYT4iBJzBti8u3v3RhIHXAz1wvQrFUHs+Tg6trX9KGHegBPuybmuLw8s4xdOgD8oM71boo9P7mq3qlVc9yVkPr3dmV8gUWCs0OKm2t3hPLy6PxgHW7KbiPvxuAjgUMBnLk0utx7AQOF6Uzv3ZlVks7z3DDeLfKNrVI1e6cRaLlnXlJkeJkRLc/MkIgI4zVwvk6Mc+Db79/wev8miX4b4Xx/XfKdfZYSOUgjf9/jeeB8DdduAqLxBSWtIGtAtGZCNxR6xwaydG82iLn/nGalsBzstofVr9MPsjF9vWRTVX9u/b5Z08Ws3vx4NiZid2WlNwaI90zVnhFdl85HoCS+64/W1g0tW4HDXf2FkBAVbV85t1bGewVJ3kbE/uaU0sQ0pouQ6DoelwFxbaIwRUELCrDbWBmVahaBQQFVaY6zmSDPAB5rXdkEdwKyzpVBi6bvU7pkQXH57pppNQlOOQVtfNDjjJnnKMBImNNrMDuje3nu5lDT2RQIKLfvv8dioM++53N1XZvr8l81VUA65ydUUBGuBn6vglHodZvjsNKqCoeV8YbXV01lzaKISMxmH88D1MK1qli40YbuIsDsWtb1YVFuebKD3PVe2buV5yOiJCy582e/mtUC63hX2ujjhYhGOxaXCwsAZMGErL6x7skNn8fMbh6bQaoHrkx9Z05mr16PaDzl9ykAcwnoY/fOKXZkR+8ayXZ6tF4A2zQ061z5e7Mgw9ZcMvfP2lIDf/IpfP085/Zsm8P2SYqKPAOArueNr58N/+zt2+Kden2eA6N3FyzHMSaLwHI1Zz55Vz9zpFicY2hgoD9+2l8T+Emw+aMTe3vPwpznjZI/M6jJv+0YC99AheGS6/04SjSw2oZcVwWacXUvObqAyrYc9IlArtrUAjCXhZcvxXttjK6MUhCptAEtMm1L2mBlBpwY6ZeVCSyEZU7YSbDmTKvtu/59GTNXNi+gMBF2v5TSAOT7aL3Pxsm0OBsNZgmEhCvDeydx3QFNWsZrBZB3jHL+XsY3mTY0Ckmopx7J4dYbg9VHilpm6O+B83pYrMxdzt2afThzf8/Xide3F8brxHm+MKaY0o7XwLev7zhf5zYP5F++aHAR9GB4v/3+Df1xwPLN7Uo+SNbAEyvTYKHtK7OQGWKU4GqRFucKOO3dK0Moh9Ai/EgavJY0sL13DKj/zWJOdttPyDvEb2Whs+UADKbxA6xXfv9hpn/DjWVhy0dt5/xsoUFUzKJv97Za00DHeE1nUyLP9lXTkWVtXADhjtZ+RH9zvV5f+p7BQqZjxkjx0u4cOOi230PWeCN214JccmAeIkpRvb8vnGJW37tZ1+6cs1zzM6+1op2UaNJzqdOC/0wwcnCZ9b7vj/1nKxfwP+teYIYy+VeBy47G+LMUoE7qRQrgEvvUfv9oz2egmdcy9Yb5Cr/BnOLk8SZmsz35Z0oezfCjLJ8t/t7NucXIKO+3Z3ucy1f+h8q93qdGwKhuBUTiG5ijdvt4LudJ3/A8xl8aiLvjXbL5baFLlNIqpWey7x+zANgaOGhfCIQc3dZ4aq+XA/SSdpg5/DOt/4/jwDkIHuBwI7iz8yzT/RK3JNNEFkEHKdgCqpbaAudVvszm6MfOpg/vU540t/97JfNozJIfuPF+Ta77dK0nf84pkbvFb/2FP/74O87z9UNt+qj8+dQnBmC4Mq5u/oOAbzFBlQG5r/sfn8hc7D0ZYDWVMlE0KmkyE4Fx483lkLFNsfhc7tpooHL9nRRk7jSYhcehqrmIjsWzthHrzzoHU8Yg51KidgVi1p5dH0rbzUfHzOxSBDO75x+RBhcJ0w2BXINu7Ew+dwxWc4Yd6Tf5zMy6mRWshNfq+t6ht/Z3HZMLU5/qE3OfJYVGYmgLITTz3M0aK0yl3b9qRJg9aFc8Wwmw+6WlHKLOZCgDbikG1nm3Po3XKJFyP1OZPKtjvxL3eQ73yQHglhqyZ36cbn10uMRht7/uc5EEQOWgSXvd12QCVXcasAtNBwrgXAMD5UO5AbqO4pyI96z9yO+s11agKR87JjbRkR0tTt/vRvpHBKPZvzQf4peDXRvvr1ZGxduwvkuZzLW9rhZIvtr2JKU2UwOyEs+FV3luOFLDmPYxtz2Pj601m+cckXdHL4HQKoS/2VST3Su98LW7MFfrfXaNCE5bMlj+SLiW6V2jhglLEL2uj4YwvTVma5Tno9/476Ok+chWSJ7rr9zqEpL9bxotm2zthswa2JiOy9+kAroQiG/BmZ5Vu+Bo04KAaXn75c2D6hjIBOBR+0tfgIvQNK/du/Vsry/mtBvAedkHtvbKOR8uOd1S1jUCqatO5qWJQjtoANHHSDWJk3nx55R+5LQl1hZvAzNW/8k6/vF7Boan8hZ9GdeZPt1SUDWuZ7Kycs1qFrD7e4DBEzhPiaQ7xbLKggshKVPs/mbpDoEinAotIBW+qT8ONGYPnriOGSisXsr5mc5bqarSp90Zs2OVM33jxJvNGTxZ5s/s3vEa4GPT3mXOvGwEfZYqZk5RKJznC3/88a/y3E8SwD8NNn/kvfkQCanuVapiTFF81joiWM7VxGGtC1BQkRdobyUsdCyK5eDJmsuF0QHiEC7BfS7M02Kmmpg7Kv6X3pTybGEKc9mYFK+RHWW8SP0iDExe22ed2yVkv/bBmOc9ob3WfS37TVaJ23pPYWYbQK3vfUDlwrZtWdr6URs/Asc7QLv2LY+TSfB390ngGPm79+5mrAVwpnQCoc0E1olciVHvHYOGj0fqwKX9+WeR6NE2+qAADYkMOUu7GDyvUc3mnOi7DNd/8SIMTYqCuayv3f32Wda5S3EDjFkgIE/zsNC/UnZABbpGk1lmee/OPzs/qyDKwrXvaPPK1FO70mH/U+kLZQCYf0IFrZsu6ntS3y6/b8bBmB3V8O6Y07u/6/n0A8Dzpo1F+IYKCP26vss1A50iMuISEC2DfWOSOF4qFGGxosnP5Psz2CVC8Uu6zLG9X4+Hak7Lt3MDv79pLs4a1MP9huw9CkLyeZP7G4PNxbKD1SzTNfJucn5/NuWojXmuJB93w0yRFokaGInR/e+tLHtn3f9FqJpMXx0opnsLH1ResQGOqS4QberObbg2e2XojW98+/WLmLQmkJbjfQAoFl9xnkfb0tDcroliWWIgO/NQ6/1UhVWZxzPa4ZFsjVdr8BSCR+t4Hsdt4B9hT6/zkYP4rHxT/tvSosxl7PO9sABcDNeCjnTtSL7S1sqRBLc9+WoK8ATGvKfBfpnk2d4a3k/Zu53EPW4SF+2pvIfkvUUjCXeR8/nPtLA3NMz03ohlEEIvq2s52/U8XmmrnQ1WqbCym73G1fS2fJ/mahDCPGbGeb7wwNP7xrieTetYrmvc3AkMcH779rub0K4KuH+0/JRm83qNtoEl1r/XzScDCGATaKPUYaBtUWEb6paDfAF0CWjmaLOZKJo5xFb6dKfBjLNt6ZuB0KTBpNomW5DBu1LdBFmJ1+qYrUDUJDpZI7sSGSJhNFsmsAswWzUV2z6X6zrfH/gG5TruiMeuT0BlmP23JOm3e7wxqHDsDsTmcmfjvzI/628flUubUztLwJFG7lDuRaWWue/mb3I7fk3s8V2jkA4vSgstH9AFtG/8XYiohIyf6oBuued6bzjPkAbOOcS+/5QUKZ+tyHy0xXQomdQkyWlgrlhDYlYadTlvkXyFdrRn0xBnwib2JlH5eWf2XILLFwHTR1Hz1nYUU+7lPVA/UqT+YVbg8JH/p9HDVZMWbYnfSAGnL++i1bzSowBJ1Sw8g7jL2Fmj1nZctLTkY5PrvLa/gsHo9z19KpLt1G5fe0h7XP03V4GbW1xY2zz1Ei3+w3wNHJTPGQuMQqw5hvPPV1rnZ+Bi5mbt8r2kDJoFcPF71DQ3z8E8B47nI9YIc/ieNvLI3Y2qwMusEkzYa6ayU4EmEV3iElzOb1YQyuMyh5+u8Lo3gwGOsyT+tRuwc6nzhq7lqLXGC1pAnrUdazUXAdFUDb66Sz1/eXOgueN1bM8CqPdk3gyMC53NgrQk6PPfc3Chhd9d277S0/wuP2NSjnPj727r3FzP2k6vc/Oeta41WNDaHyICMZlCEZ0szYnwpKadbMv9k8OlyecQjGE8BXMBxRb1FsSuxQWAozcQPfw9zOInas9nbarsf1svuT9xjqxCPbcYGnGW7tLQxVmY+KsbF4GIM0YgC7S2AMo8B6siIPNx9gwAjPFa1ly7WNzt5tJ+m1N5PB44X+94vd7xxx9/xzhfoPbzSoSf1mwm3LJdrHIPleeM8TFncZvECFuOEgnM69gwBZeFn4kAEV6v3/Dbb//mbQWC+fLnCjBD8SksJTHvREvn9fdCWDabnrABWJTuZU6i5fru0p6FKFpxIGOCMDVN+fb6G0AUAMvacMPsZkmNOdevOXrMjFqafZVQ16G7gsndb5n4XcbOiKQFQ0lSpjIYG/Baxs3XJW5lNTuG+iMg7utOpWNzkeqX55I5stUdefHqenbppmrWhK2Hr1/Pk0TXOfSS+gukPn8HaNhaGWNinhFUIx+sAjZPvN5P9av6vOlPIlLlAPDYrAf7jDUz5wSxEH4JoZ7HOWja3brPezHXbd8Lb6HCivy7tYs5/Dt3jN/10DThXY2ke7cv8+V8eANw6fxHwbtMe2bfgThMieCaiACT8a5yLpj/1fKelUmw+nP/Nx0TWqLa/VKXFW1jNZ2DaxIL87HQvD2NDAEFkQBCVkapmIBlmgmlCV3x14j6CuNEonkg63thQq50565Qb2IWuYDuoAeuMhVmCnCwv+t/XTvX/nk/V36CtW7OtHQaMdQ1HJYm2Wx3bcsYJ3o/QNQAjAA+ygh+eoB5U/YakTo2BnA+Oh//kfrvns90hgjFRNvrUm1SBzy1CREVs1OkNXYBnhsaLnuaQgmQNJbM7JkW7mj0zsKDGTXi6cITroCT1FTUAFT+bn9fhI7JX3M3th/xaHe/5XuyP6eQvfAL7aiRbfN4WrtX/jrYOCqBhfrSb6LQzhIIz95w6u8OVO1dWk/2EZUvlSYktvByDkb71QUq8WJ5vFyou9Th97jQFduI7us4reO9zTDg3yNNk68ZNHDvl3vviucYVn/N83wXE1owkKJ7/9nyT1ND+KA0XLSbhThNgElx1M3mbKuZVrtupFzKoZU3Q2v4//wv/7fCiK9JdXcMekkovDmAy4br91rR+HszTkAxm1glGKvPVwHUC7GsJk5cgiB5gJ21TS3A646ZjQO5MiwVJJtkBpd78uduTNa+2b1rJM01qMcdwCubqRBcXNpi7c51fC967UeEOBeJLgo07M3yimDDxIGAz/fK3G+6VJluBxCV4d8SuyzoATxdQO7f6qMw5ijr3vxNH48nXu/fYB2Yp0Sq3WmlPkOZ04LlTBAigBOhgo9MV3ZzMDWZvQNFBTN3zHUR4tzcB2AxD7rukQI0l98AFEn59wRF62/rz2tAnR3QXMFgMZvkuIdQ9yYRCs3blX6I6Zb72Zp5XBOp+tr/nXazglIBMCXl8Q8EtrH2ItEpGY5lXagprb07p4up8/8x4LRxE7Ae94yzCgq2Y03wwG8Xk11UrbaBC2Avjbd22/2tB3OdeQFLnRFjVWmsg5hO4HdhpMY5QgN1ty4z3VXAmd+xO/vP813GrnUQWfqMAM2fWYi2lvWsX/u+0okquNC9n/fKlf34kUbUdmwY3VVAltt3fHk6HTAalU1n74CmAUuvy/oDYJefd8uXJQ3kR8WFahzACbgKwYyfmyw+lv2m4smMY80pTxWk7Wj7lU/gy/Ol3cv9lqJkfd5A42TJk1m1qxFjhJmLIMja2zXuSETHnWH2imsbgHAJnuu64JrP0zSvO9PQLfAnBmuqMg8WpMoWC1Rm9yL1ZVcsMmzQa0vlMsv1bUTyTGuZL2slAKf6JnO4/+zwS37WhOlzimbz27c/8Hr/ChM68ya69z9S/nexebtjtADcMghImz/XsztY9fbv1m2bdAcc1/dEHff33wHK/e/7+qVhVwDr1z9gYjJwd4Y2B+tI4IU5MZgLQaQei2/L1OzmLf3mP98wGPl7bvNurHa/5TrKht8BXsD9j8pY3jDM65gbv7Vbl3cM5XazGjOtj7ROkDgTu8MwmrgKMfJ4leiV5WUs65QXzUU2UxTuM41zXC8mt7rm5J3CzPlvSvhaa8ABjNfp/WmNxHzUwOZknO9nSafymYrl6Wua2CzGofoB2dhkplrm8UZLMNlpTjF3XRjvHbMVZGrD8Kz09APO526/27tLOy40Ue/P7gsKjGJzVaDm71hA4w4Elbozc7vc50wxha/XHXOVy0fS4tLB5doaIKIIVLHu6ws5Km1h5sLg2lA5857r21ksGs3Xu1d6eqFFZtKdAqR9r1wiO37nGe+b3pvTotzTfBtL+N6ydwpj1zDOcVkP+Z2rsMzmj2f1j1+BigmTWsv5PBvogxy6n7VcppbU/LrJmM8xXTgyzon+SPu3Wx3p7JnsCgZZo/8Y8sxrZA52ge7q1oDJGgiyoR+9RJ1d68t+5x/RPwBA3/N/d/yt08QNIHLgRuvaTd+1f6EMgAoDtTkKKHP0WaIaUTZrPvvqOpH4R7m3WAJbrLL4XZ/bmdQ2IjHRZwLoem6tz9jfZgpr/p0yfex1Hr2VoEfSjnuT0Awkd4BzBcg+tgvgtLV14Sd9PPTc701Tw5hLQ6JpTdLQ5THM54MZT8h1lPyXdp5YjnN7xr/779cAj611jGFRYwfE9UesquRd4TawFqN/cw68Xu94ne/4/ff/hnO80I3n+ffy2QRQ0Hw5ZJcoTHbdniEL4LMpRLho/IpExEwYWl3U6+EjTGBltnYaiPLuBWjegdKVUF1A2OYZadQ9cXN/vRsf0R1hvAOG2vxLH3YBgD6qf0ukKQDVPINZ2QHNtZ47QnHfh6u2dAeOrW9ZMmhMTpmUskbXd11u+27ZmQTmZbgDnL7+Ux/t824cri/ecK9E7o+XgSWWnoapYnV23yXvnmMlmGluG6H3A2O8MIbm33ydGjb8c5WRgoe4mR5izjKdab2hpXD7fsAggaUydwKSmGT9+pJl8V0yN4O7CNgCHu7Xzh1NsoNrtRpZ91cGlXNuwFreYut+swdXepBAZqHJLcDp7Rrvm/oSzc6WEVtak/bs9/xVXcq8G8R08G/b4lHLLacJOxO5S2lSAhRFJA1/tQEwe8caMCeDO28tka8je58zLOnMXGn4jq5l4dOqaU5vjHVjqV2m31TzcBJJP+3cS8C3NcIw2rNoowGxokCac9O8id/nQtttTLE/ewA4I9dSMJOl89vnPmuZi8Y5M8JGL6rAVvZrjuBafr+xuriURHsua8rAwSKY8n2aArIcz+Pif5mDhlWN5pVH++gs3vJJC8C8AJuFuTD/QzcnpaSZS2A0m8Fmni2DxzUKrX2ahnPVgtq9vVHRa+T7NAiuj31c/75v7p0GtfQttcOAJpG0gdC8DnuffWYz2ZUv9Ps0BQsRFZBcXJYWTDH5HkgVHrM38Bk+22LllVzL+Eozfc3tD2Ks/JnF4DC6t+Ord30H5Aw5Nde5xNbooIxsARAJncvWHuyAf+I8T7xeX/F6fcO3r+p++JPms1Z+WrNZGFBcv68gYY1kuCtbBjxNmhG3ygzVA9hMKJCIS67zFmjeLAyXkPRkQkcfE638bAZHqyYLgDuUr8zeXTvW7zpE4uvqAZGq2VqAxc2mL9cAJEkagAsY2bVplRZ/BDpzH9fx+AiUXtbTMh4mBbf0O+sAWUTEOoc3hObGv8x+230PXtnWO9x/666exsFomonGHWO0mz8AHqXOwI+Moe5PY+wphR8/JXeX5FMEOnH45o5g5kzCdilmst0k1ySPiXHWUOGfprCYpxzHMxjutEbd7HFWgAbI/LgZlAWvSJq3lvbrWuoag75rXgBVSMBXmniD/3R/FDPSm4AWTn7VZCjv2Ut02/VFrP6O+v3iQ7kru4N7YdbW73st2Vrt1QKggqY9DfNB3NXpZq0BBitoUwYHwTrf0cT8/hKtNjprT1yfbSkw34bhudCLJvWY7749V9ZtygO6RgEvgJ9I/TetGqUb2n62FCw+rij9cx/mFvvH2pnXSGstjbXkT7Q+izZiObdvzk+s4wEC88Qc53YdbWmfPnl3bvzViwkadzmTLTATMy4BpYTJBVqToIs+zhPVmsqEwgzQzX7OdLYt9FH22RKvQa8fj03UWSTamPigwrP9gKbzyjNWGrl7Zi0OpPS3TlT2fPZnbHSlyZbOziLQtgWQ5XR3uQ07fuKWBIMkXy7v+/BRPyff8y6l/615UB8Zh5bS9WWQDW1/+Iiay+PuPb01DzTk9ehv5k+an6sAOJE14yEXPHPhv3oDZeC2nHNGP/KaTjdf6LMJeniGNtNTniA/WvdK0K6maUveMef/n703j7fsqOrFv6v2ubenpDMzJISEWQgCIoIgEZ4gyPRUEPTBg4DwGBRHRHF4AoqIiCODqD8ljDIoovJAcSDMKIoIoswkkISQsTs93XvP2Xv9/li1qlatXfuc0903dPpmr3xu+uxdtatWTavWVKsa56mhV/SV9w4rjnJec4rZbAMHDuzFdLYh/CAP3yV+OHDkAYJiYIT0PGeCoZPoicFpRpLbWZODA80TsDyDYjUH1r0nNI1MUkeg7L+L3tfq9sJtbVEDqK7iWr3zBMv5QmW/PzJTGAqtXgp2NKdfizIjge7lrlixLe62XxYxfz5vrR+G+meRIFu0eyCEtq/Xl1mgnVwbUQju/TK1P8qXMuWDs6KoQNrHp/T9L9Ns33LXb0doQtKMFTgB8K6dANJdnyEEYQbMXZrNpClcars2n0uwZ61CaNA0K2CWiLW9iJZbADhGfhVvidI1SzX9AKrMmV0D4mbWD+ADlExYDbqW0VBFclwAlqEqmK2mxNvPr/S9EczUUu9xL9aDpQ0dI0qo9bxARZnjzmJSvWyfXmUGHe2WIsy6b0oLL4BkdfN1pH4xDEMWwvp0j7k8Y5lEReJ0/2QPTzMGIQR0JooEuQiIPaZH29fvoZK+1PqwwnB5psmWUwiasW0UBgK2ADkonT6jA/MCnLSMjsvgTETDCq0QXcaoE0HfWXS7rktu/wk/kvZ33MkdhpV+3Zoi5TDI2Iu3RX6X09K/bj+xXjueB9A9T/MVV5ykMurHeIq6ogXTKoW4lSstJGKroa/WtX8eOAOI52mK+WAETOuCOY92D/Fevh71bggoaYKgWJahghmgbrU5ram4SpLJ6/GtRaqVbo7KVDcudcE1n9usrWkbXda2uSHhV1eUZ18AXuC0+CjdbCiASSNOC96tUd7ZdtTOpC4LlhYq32XpetFnqsjvunRm09Ixfz4zrYnOr7f8O7vaxr4JcmcwEWE63cBkspLcY6XvAlqiaNnUcrMLb9u1mE3XsbG+lu/WzAgdUR9Z2ATLZn9zyc9I7jEFM+CJifH19zCoAR+AQtiyFG7uN/qjInxVNF41IWEZAbMsoy5MzhM6AUPEA/Wa1uvnSt1DaUA+sB4z20qL+qvExpxXnFeHbcPh5PXfzBNqUzrlDcpvGMw0dwH1mQ5UgjYhCaMZD1cmETQiY2qTsSR1HReaebVsDrU9twE99ziiaDVA6cqq49q16vrR1scgEsTVbSsxv9GytV1v7AsGHHLx+rAl4PgFe3cqEWGysloEMfPzr3MbmybrfYDJYt5EIVLP0DkXa2XKLFOuIfDTWja/fXj8Gm5A3pT1d0nXzHyOeFoyWtAIC4leGit9xeXVf1O9NYH63xVMf4UW+PYRCNaq4fPbeWwD46TvKwxYDyeNslsRHHPhmdEoxjGueQC94EkeB+uaXmi0vQbdCIFQgcG70FrBICkSkCJcDwl+hSAtL6SO+NvS2Dq9ouIqE3XjL8rNfm/l9lMpWy1v1tVf10DXWUVIPGtNIrxbwSX1HXeJbpVeA/U7k28qkOZgZV/rCR4L+skvC/9db72ZYwOqEwCycq8YF+M+W3jOOeGmatUMuR2Wfyrog6OrtmoV2oZcZ2XulXxVErx0fRtBrDPfevdZ5v75y9QWg0cwVs4aTk2gXtke1NU3CdNzeNR5YAMUKahgGWgCIlTvCVUBUOvXK/4AIKAvcAKWD6Jevao4aSv8iW2rju/QEQnNU+0DKueS/gaQznGyM4D0ggBZgdK0yfKx84LTqYts182wsTFD06yYNBFG2VtiOV5f13XYmK7j4KHrMZ1uDNZxpLApAYKqnec3b5SMl13YxbmhmnA5ICRZxs1qh1LWgQVSMILGfbbAy7lfwBVZMJpzzkJ6fGu/B/OYs03pHcj0qyPihqAejkDnECifzWbQOQ2z/lswDE4YGRSW/Wbl6tCyaoyfL3teW4koWhLK84cF02TyeqbG7RM9UOKkjFoxJubBuu/apGI9hH6fhkaEQ4RSEPXtljoCmknAbJrd+2p9mcrvokZflTMhusQZghcCoYVpXzrnWeLZth1m0xlmGzNsReAu3zuaaETjzoVrXjcu+ujzav8qzBOO7Du9QoUZYvEyAYaKu3Qd+CMM9rfiESahXBPxmgvzUfX7QRqjc4S5F81R04W57HoLrLBS2PabPGlOW1rZ5W98G/1GXke5flamwK+gG8aVGqXrlKwrI3ACRRAfaWffXd/i6PEZBEesBJ8u3k3q9gVz76t1q1XclG5qnoBQKpJ6dN0m5Xms1lkic+1W1wHgQlhMuKjlamaZLRS/ueN0/UDZfMtf2LkTAFL3sb4yEGwDBKnr83JzYysCs1hNwpzgSNnFr7wSaIgOSJeV3kTB07sBuiUVclpHatlM9RJhsjIpeUpXjBc0AfRiaAzziN6LDb2zmYN0tcInBVefWjIDUUlrTXlNVJDb6KzpG/TPN9baZJosgYMc/9Rrw5x5Hr3eU3s0SFATgFmLnoDZqNXWRpil4fXkr0fR9cimTu9Sq2WFEKS+rl2kA3H1ZYETRq5QvrTrxIIOS09dOZZHm0cr+vQ+jkPcCxfRmKpCD3Isqou0cWN9DW0zQwhNPIZAoNCAORRlyDqeYTabYn39IA4e3AfmVvre3Fk8z3q/DBzFPZtc/NXS1cRbY8isC61aI3t5KkRD3/uyNFhNL6KtEb56TFzoL8okDHTcO2Teq3uAOSzKqQhcPeaxlkfLNm6cCY8e8ZvDYFbeWyuklpmeexIsIsNYt1h5y0jGc7Ewrc9lGWW/zPt2qHy/EYklYeBwu5YZ2+1rqOHQFee0+gKp3TwBYZrlXFNmijVCn0IOg16p2wQ/KDfmPo6haRIT12l4bipd3LquM+4ZANoOFM8461kHcfewQToCiLp45ycDGleQCBwJ3CzetbnVIJ1paGcFk+Sv6UkD0rFcZ6G00Z6P5NLqFiZNMfdVWARK5o2scAA9LxUQAuK5M5Z7TkOQuWRoQqK15i7IPHdKYbemhPGQmKQoPPTcVNFfy12MZlk7tykMZN/1q1CQmDM0nt6mta303BwdsOuxRhcsnlbAGGIUcl4khSoFive6lUzPInqVpkvlTHdxrjGOsVxYb+oxe10TGqfMin0XgpzHrtTRV1YJo2T3uqRAC5QC9fQ08RV3W81n53at/60QrG31ZaVu5Eh3gUSfKARhErW9TQDN7Hys7FuWjjIn5owoIBgXxMSMQfmcree1UQVjMPC8QG9deFdAivtCpIE1yLTQKV4KBYy+UsWHCaBlPAWSABOo5NcGaHSxP0NprvHG6PGIsTxz5UZNyKwJmKl8s2dbl037Xn+G4ky26TNoUB8uyiTKFtBUrguGY9dXZCWKb2rKt4KnIN3SDG8GHrw8oWizaScRYXXSYNJkAUbHz8oR/h5Rbb/8KI/vqVBs56XSzYYCZlwaL2p7jNap42v3gV7fVGKX9JXLXORnN6+7QpHm1o9G3u4y7Y2ZE93X96rw0TnNpj9WVrbjwIHrQS2haRqEMJF7hLkDdyEtMOY23a2pZzXzNVBmNkb6eDSwqVefeJOwDDqGTyIDmSHyi9wTuYoLhN+ogrM01M9ZZuatJxTYBZLOMVlUlSKU9c5jLqptqTzPOwdYMoecGVIjgdaEZs9Q6SfMKC5Rt3X5zUU/GmqbnfwhlHVafCwefnHWrvhYzKj1Cb6vw/eJJWz2fRFgw9Y72G7bn/O1WJY5De6sloxDtiQxl+5oi+ZNr66QA2OFIIIjgBi4RwiwCpqWYIUQ0M3a9F3XieDStdk1lztGEy+vRohrOxHeBrPZFO2sRTvdesImkAWRtm3Rth2alXxZsmeolYmy6UTo0bpmUrHcWQanRif0bxkrAnR+hiIapw24kao1FtE+s11CStfxNwGPPF1UsAJhDTyTaLXKKY8TOH3gN7t5K+NbCl9lXu0LTR8KHOTbk6w5JArL9G8njLZl8JTmdOiKc4tekEs4G1rg6Vh2aUNvnLxCjQoPGEbI169LG1rjcmaYPfb7VQWPInIukNou+cp9q21LRtAeYQiBwJSF7bKvlYEy+1eMNqmXorezDqs7JuhafxewVeDokZrhsP8WGDEqLWr7dumCtlVBz5J562aek/qcv9FjAcV8reyHmpepsrfa+dwRqFJ3DUgmS0lrzXdFDAuFOd5onhYRlYoom8f/rgmi3srn75sEYBR06Am19p7MiVl7atXUdgLRDbdCf207OwYI5dnQGgQgncO0AiozVyO4FlF2kQU4dZOdNA1WmkmycmqDOzdnvPsv0K8r19c/d9lFJlfv6awJ+B2XNEdxHzq/6Xnp/q6IrHyMfFZuk8lSIx+JhzZ7F3MSbHveH14A9sWB0TQTaHTZrpugaUQ5F5oGnREaxX1Wrqw7dGg/1mIEWi3f0lHujtE9m14iL97pxq6bdsegiW5o2Xokm0BF4MH8RVCeo1QFXHkFQe+bREB6CcXCHHJlW3Qmc+h3HYeS2OgGbdZfWY7JRLWMqAvWvl5bjz8nZA/T24WfiRSgjFRNkFMYul/Sl+l/9xjcykKqbThld/QVAGXeXJc/p6VWGttmuLrSGFTK7IEd2CJvnUCksW377mFFNnXTGCgrBGEeWyWq5lyURo1VJjcxwvFSYgqExgSLUZfKbhZdSJsGE2RGtdgAWLRyW/HMpnW/67oWs9kUTROKc+ZEWaBiRgpaIc8ihNj54NdG31VrMf0jQhnS39DEeTRI6bDiRmZO6yapawSoR5305fvzpj6//TflN94bxXlFuyb9enbRnYfoylDQo4y2Rm3O5aTv41nvxACqi6l3d7X7XVdq3Gvt9tpwS4dte0oFoRGiAyULp7ajppiyfQXA0AvB1Qt3Rf/YNqaypRdseUW/EsUz5KXHh+7LFrcsdAbR4hMhNCgCT9WUgYj91LVZIdd1XaRvsT/9lR0V8HOCoZeZd9A784gk0EyAKpQkbVHZWwW0b5umKeZAmu5daeUt1qCLYp/6TCPScl9sIDM3PW0pggkBSTFs6UIzqXvGFWWjv50vorH6jd3xa8JkTYCp5QdQ3I0JoBAq87wsBaTGKAf1rKc+N6GisES2Rma3WYuvvGNmrEwmmLXl3dp2zTYIPQGMiKC6tUCczpmq0Fb0eey71ckEK41YNeetoxrfZsuRh0xrVbCFnTeGNykEUuR2D9Vn+WOfTkSDVyhZPtrfPmD5TPOySPN7g/0t9Zb1JHzaHCBIkFd+pcPqynbsW78u8S/cMAK3CNE1tmPh69p2hvX1Q9i//7rivmG/P3RHqWjbNMtmkriV8BjrCRES8RKtVldEZRwUCgprplmQRouW9jt/3q1CSIoyahO64tffF26WEzCLNE9gekxlXyMn39krMUptUI1QeoYzvi3rMxt3HbdKm5SZMEzKUHsAtZp6piMzH7W67Lt5xMgzIpnfq7sr27T8rak79BfwIJj+qG2MczcvJcbxrr1sFRJt0yCxMTuGnZPq4tprWxMwWZ1gNp0l93LN5wVN/ZNIsx2IA1a2rSTrZAgB7dTcMRnd4ikQGsiVKVpmxy3aWVfk3yqgZygSm2T6TvtSw+3n83qQ85QquLSyhgJlaxfs/IRYbigQrAtlxgH2+ERiStRlt8CXAaUpWscwDSo4Q5Cx9Hn33/xtWaY/cuAFvxr0mMNQplnFkS/Hf+uFmYIGBioiueZyY1khM3jVPtEyg6MlRkHjgYiSAgcwm7TZuNMWVTmv6dtk8c5RwTPt8/0DZAVBYhZ0vnb9sSzC83d+jms+6ZfaPND9NgWESmdnvSUsl5/26LS/URntw7TJ02cJOEvmfsxyjqT+94JLRUBKv2N7w0rAySffDHv3XoWua9G2s1hWP0DaVoWua4VPC2wCTPXzeSODndsAlwIC8pz3e3zuVyqFS+qvw6SIijSyaZpEsxLvFhw9sG79SxkkSkHTB5up0TlABJt5d1Gm/dsFFaJKuT0BM6ZbwdbyA17Ik+8y/lFM6tWt160ogipYqvWRSCK59pRSlAVOXT813i0QYWUyQSDCpGlECDZ0ZFEk2N79o6Yv7asQ8VTc265D23VoQsAkBMycElyFTzuG2TlFdvpF+5idjxqNdlGgtOL7mg+yLduUkwwhRuFm+0IjzLZtl9xiJyurICLMZtNYnnh3qCApVs0W0+kG9u+/DrPZRjynOYcHPgo46jOb/gJgZUjV3Uw3GzLuRcWioL5AmTd0lnNtbBg0lIJlJl79RWtBN6n07AiUzaeEbxlLqf3tBcy+1nrO9/psdvdFwkzB7IW+26/WWTvHioFyLcH1m4ld4OUm7urRvjaMkf3eEwr/3jOPHnw/DC1uL5iWuJSuXUCpnfKMT698nTeWGyu5v/4YkpD60i3Ctc0IiH2tm2PuAoPYMItxvuldY210jW3buvtD0l5O5NB4CHK5etdJpMd2Ost3PBVrvKDycbNrIpHbepZNhbQBWAa6M+NvQM+2pk216xAQgBDvsNPDd3aud3IOM7lc2rOHIdehwp0ydXrmFkCykBY0xbVB3CCdANZxcS4qtUMZRkuX4rUIAaEQwmqbsxUYgivfK0p6/Yw8p2sMWa1tPWVU21XpidfaWvI7T6iwwpmnq+omb6MXm4rT+rfCrpZjrTUWP9uWEEJhdaVOlR1lX/boYdqr614fxflQ5HGOPTgsLLp+KdJ7RzQouRNryV3blfUMtFvOi9b3dU9A+92u7ZG5VxsbS5+3b9uF29727ti371oQEQ4euB6f+/zHMJuV1rytDPm8vlp2K8yvzqk5DLMF67mh8zcJmKZcXV/F3gqI4qLJijClY+mcecfiiQMUfFeVN6M+PfHKLT/Vgl2DFbpV5zn7/I4XwGt42LKs8Kr3TlprqM3jaaPW1eq5RSNoElEh0KY64r8FfSDqsUOarmVZ4S29g7jONoGwOpmIC7CzDM67esS7H3sgAlp37Mji1bK1gMt52FpdxZ5k6J2mpfmpivWuvz9k41rpAuvLKPAf4DM9bvLXp7/MnJSpiO7/SuPa2TTeoz7BbLYB5nyUys7h2XQD+w/swcbGmrwHEGiS6+gkDsTRutACRyNstl31Tj11sRPXO2GerOusQk0wkola11p7ARXIGu6iLLOyvRDryy2IhWFoCiFzgGhVBWeUDIjVkPXaMASe+CwQeFXb0au/JtFVvvd4DWnqGSjO5lRQLt+FMjA1VwTPoTL0POkygqfFvyac+w2BOZbfluc3u3gwO+NfCqC+nirivs9reBIhNIaBc4QrBELXY4QpExbDLOb7NM2G3THCpMFkdRLPXXaO8JkzZ/quY3RtC6xMoEntdCaWylkL7jr5HYVW2w9KgCluXFvxnk0g0yZlgjzjZZmVNAfnnKsE4pkodKDk8UESqTNdiYFC4BwEK/DNcWctGRoA5pwQBcMZ2XZbYVolG7sOKtYo7/qWLHxWyaJCjVUAOoGl+D7004PzjkkRp0N2FRa0c3k5aqyOX7WrerSjqoW2e42zUOrVHF5Rk/F17UN/jIcE676wKK6fXUXQs980k0w3CppRYZ6H8NXgY9VjB6YfPMNW2z+T23nHQNdBrrANPfok32X6md1ddf+rW9Xn7f8pHXLGE5EJC80Eqyvbceqpt4hl5bt1bzKQBMkORM2ibS3mF2rSW/s6Pzrdv+R9Gq+OAeKUjtjnAGKAu7pwoExzKm8JPklwNPOvdo2IxdG5uNp8+u+QNdPzOUlYHSivJlTZ9x6npCh2dQdCVODk+pQcWIG5dremWgZT/9p2RiS8sCb7IqLyEemKERVm1XV2okcyuKQBNVB8rCDqgwUVbrLaduTItJqv5Q4TatBQQIsuXZvSU0oyp+i3WrZX3lnBbh7+pWKmspeoAFkRWoegKqwq7snTQzwx2naKNgqHImxOBf0wK86zd12HQ4f2YW3tAIhCQTvFk4OAuH/2nd8PHzbnnk0vfTNjNpvFDopIz3GPQHpNBRHQqIrlwsx5LQ5zhT5PKPxmFPqb0pCAan/3tFLu3FXvuwVl9tIqzGpNoOqVY+obKt8utlpfqRCbLNducfpiCyHX4mGYkFT3Am2oZ1a0mBqDVGtXwfz0GDgkhsUKsz4imm2X1ZQmC43TXNUbkhnz4nysY86Kd4ZBKgSZNl9RQoEAdy5AFAL53WRlgtlkJi6xgaLFsmSG7biqdVzPQVkLTdIWano8w6nrvW1nqR+WJZ7HFXjaEEo3TzsnAWX+3bhGUPpm528K0tR2OQgTkigoTF8rlmxUGCRbdx/1kr6FQAjRCsqWqa/REZRKNa8AKfKgbzHz0Ff8cAr44+sp+zMkJtaenbT9bwXN1O4ooCQhzJRb0pf+GKXfVtmktIDKMzSWRnSzrE3X6IIlHQzp6g+pC0nD3TsTOtB31X6EugTn60bQlcGMwOomXd6/af8tlGwGb1u37f8aqAttal9lTinuVgEhc9Xu0UbREd3CQ5PPkEnbZZ00kyZ6D0RXuqZB2zZpbkrE0jLys/29srIKZsa2bTtjX06wtnYA1177NbTtbO683mrQcQwOF7IlBBjgs9J+Gp+DsRBWXPwV8rzLhghOU66vxJBxHOZ/NOgQEJVQZnxrguXc9iALpYVSw+StC419fZ01swzde1l7DkS9coKbs8GNTdG26DLbFtZ4I1hV8LF4+Lr0O2+JJCKA+/2w0jTJdXZ1IsJeZ8bS9qfYMCpxAEw9NaHT9pVNb2NZ6lyX6jKfWVyKZ3CVt5O9iqsKvVK4tO9dmlfyp2/Q+yb9HlAcKg+qcTgAxEBpXXKPZY6BgroWHXeQG/T0GqgWa2sHMN1YL4/OxIqTQIyseOqOZYAg3Uh18+6iC143a9G2UxACqMlRGz2zMnRukNlE1nMMeA3SfWzaWTVhrNjEXFqxsEzBA5aJebhYYlMVAAucjABiGBbvOubrHnq29c4TxoeIr02vtTUFUXCCoxc0C0Y8F5rLdO0uyhqQy/NzyeQXBDpQWqyF0GzGlhm9u6xq/VPU7efnPEHTMmh2wytcqgOI2zxXOLowtrpZllFrvUChjCAFBpv1b/FsJo27oFwZ764QNLUtk20rEsF2Juvanjnr9VMTAF3rXQuOSEzXp5iuT7HVIDEc4Hx+09EyNn2JxjEOISsJSvd9pPO6Nr22Kclml48CiGAav+0ANFRcPp7qcIq05HZmCJVuXqk+J2AlcAJKKh8lY1LTgg4JSEX/+XVnaZvZKwpXzVDmy33r1kxFWBsSjgva4ehyD7eKEs32gZ7DLftUBU4gcUCV9nno4WrORQ61K89Nc260q9A4y9gba6yUXTJFNaWZKagMWmFwr62ZhLehm7pveCZMaVLPddPiSmoVkcvNbfuGxrtpVrC6ugPMHVZWtqV1sb5+MF12XmvDVgUNmBQ6AnPftV7nk2esqcgDAH0BUYVGoL6+gbyubX2673tBRfexgv44746aEFNG5DZrj/tWyEIwqvBxFhL/gn5+/UaFOf9e8xOVQupQPgsaeEiFukR/Km67vn49Rzl0PtK31Vs5mxgeukO28mofT5omW5NtZGm3FlVg9HPN41Szbi7ENeIzCQ1mXQuYMbauv+J226fBRKWyPtGAyt5SVz7090YvcxS0VxqaG8TZvbyoKyopVRhsu1k6Yy5HmqZxb59g/dD+jEPXYX3jUL7yyfTRkPJChdejgaMQNvNCT66zUdDc2NiI2nqAua+JL++vdEKQD09O1GP2e4tcNyuXd55QCGTGy1RVMBE1HHuMTeVMZq/Oyvc1QTsxhk1faBtsg5mw9iymZxJrbqF9/KlHyC1z0CvXP7NozksBzxAVy1DU3HWLc6J9gTO1k6hYxKmZXenG2BciHd7RgqpCqiWCgwvLWVe8OxmAKgnsjTPHMP6Ux8X2vwZkSuV6F9/amdJCoAWalQbNJGA20/6pu7iGSYOmCWhbCfDTtqVAahlO1aRRE9BEUi5EMEY224IBgmqQ7tqMgYFU8FKrvF8D8m8pWHUdQGZMQqDoTVDO/XxWPb8rLAgGEqOl664DwqR/NqePmwqlAIf+ZmMVgHpnZk1oVNwKgScKpNYaVjB4Xf1KIttWfe832xpd0nYI3mUb5sEQ3ZsrPKf6UZyJtP1k8c1rtFQqGNI4iKvfKwGUAU9cADcr8KInHNQZC6E1ADRYC5d0yQrgtbFP6ea+zp5l2Vipl4KKokDrTHEdfDrJOfKW1fU/ROtmn79YWdmWvhULZ4um2YZdu07Czp275+6/WxHW1w9iV7cbXRsQGk6WcrUezltHVgHUmzdG8LGWSFGACN2qCZIyV+N+TeVeuwh6fIa662q658cS+9cXUGvuslX310oAoCGcC8HI0C0A5RUhJm/vXs1KV6jQWQYUKgVNX0ZyR53D7w6BWF7FYqr9FEJAQ9kC6+M51ARLGzHW0ntv0cxCW/wW5ZlRf52K7ZcWOeJ/QYNBqN3j6ZVNGlAxeX91qnyBuVqu30b72yrMCoE0ULrPOPH0Xf/ogOCePUrFfVb+uBNj38bGGiaTVUwmK+l6k66dYdZOU9uINDilBA/SviUQxJW2r2w6Ujgqy6ZeGq+CpvzLmE7Xq8yNCJqZqalKEylv7b1JD9lNKu3UlUUkTBKlfGnBmtD4tl5JrC+2mibM4pXSHD6+nFo0xRqj1cevZEh8v8DlTxbSirA+yMB5QmaEqVql6fvY3kGGxjeixg3CbA7OyruIMZHiSqI+l1CSCFDDfdp32U2CYNPXkFthYxkCLUxdSJspug5h0vSuNanNAX3fdW6+uHFuJg0mqyvYWJ+mteLPVCaXSgamaxuYzdo83qb9JfONFLG269ooKOjB84VNPy6BiFLEWEQCP2maSEcy4+uty9aC7xUwRKIxDZMcjVgEr4H5VaGp5VLS8RJ2J81J3bCt9cApVPQcHlCunRqTZAP9JEHYLOdEY51rugqdvb51ihv73vZXwssJKp4xUTwUL4uThyGByyoFep4Y7swjgHiPrjIAJf4pj6dhRMnyM5jH4NQTtOyanCOQAZD7M6HCICRYlekDO87q/aC0ySpLEo2tKBAsLn5P1L3Ano3XYxqWziScJg26jei+SsJsmW5LTKBX5IiHSJf2YWZ1BbOCfcjr2URnFKZMzqZPJtIv27fvwspkFRsbh6rjshVhz54rsXv36SAiNF0AhaYYZ7v2uwpdUvACZg0Sv4SS1tQUxdS4vdB5bWTcMv1bBuzxp8Zo9KxwpsKLtr1xdC9944LwKFgvIx9dVmlUoGGLZ03QlO9zvSqAKW4NZUtjLcqsB0uvc9tLI5vFK1kN4+82rvFAZT/4e9S1TP9eBXpd8625houZ0cR/rUU1CaDECDGSahfztlaZb+bsJJbRxfqSCy70TCnQBRRznpoQA7KVdAiI86cjtLPyChkVTCkOsPcoqY1DQcdmOUZGbVew9TCLgNl1Ldp0dnOWLJLT6QY2NtaggX5CM8l1M8fgbIoTMl8KANzJrazH6uqTZFZV75xoZp5NN9C1M4RmMsCQl5rFmnBVnrvpExj/XXzRq6sGdqFWhVpXvhdeLOOk1RZ1ZWmgrM+VW2Mch/CuFa9l+shrQ8JHFqQX11kQBr2QPGrtFQEb3KFP7HP5PU3lvAblQnqW36qGMmc3zGVfcFdiPgRmzRXf9fO5OaHBW2qqRftdZU5poI2if7qSkFXXCVnGF0Wwj6KfmdHEa1CapknurUlLF62TOo6zaNEUwpbdNmy/6HeKz2w2FQ2f8eVtplszmIYImo0wpiELmBoVNmtg47poO2AlzxW/bouyKXt7hCagm6VLB1OexEQ5mkiE5IXhaVqNGQPyHFhm/XuFSy1/bblkPIbXUqHEUbc3YxWx5edgPyjyWbx6wq3tI2Rcapra8s5NG0govrNWFyPsJnrD3BMUvRCoUHNDTUoDp7DyDP688uUbmSeWxmjfdC4qNQUkF2i9GzmnkfAWTqANQZRcxT7o3KuLtnJOs4yjb4NVtliBNfUD+vgR93kFC01Tsje5L0WLT+YKAMVhOl3LuEIE0W3bduLAwb29tm1V2LPn67jFLW6DpgnoViZAmwY48nwMRledm8z9II9pnUerojK1adxTuVkpYr9NbrXGGlrwHF2XjidIWv423e9pwK8tseLEdc/1CKhhYC2nMueczfTlePwVZ29RnCcsW0HT4mBpoi2jFmU2P5OxTPYFWZ+/xg9r/StGqap59RylQudoQp9eD3jtpD2WABNZ1nueFHdrOvoFRIE7Xu+jgqD/lghFqb1+M0pFm17Oy3gkKabZGBjK+9kr7ORfuzaywGt5DC1bPEk7zGZTzGbRcpmua2qxsXEIs9lGEjRns404HgHF+qM8f5kZXdeiCZOMq1xWg6OFo7NsmrusmCVQyMZ0bW7korow5SaV87lfEiGgx6TULZdVF87KxC6ZusUurTiMumrC7JDWpMDLWU/seUkrqPs21RmTWhPq+NYuTbaMl7fq+Y3It7eGyzxi3qvbWht6KNcF9sTQDZTXV+HVN5h5TKR3IRSCo9oxZ3kNBGYym61YucqrUfI87LpONuvkptZ38dPNWQlUCAEr21ewdnAtucVxpvbgjrGyfQWzjRkmKxKVsZt1mEV3WPVe0Ppl3eextUxH180w29h6brQSrTIKg5UAPXYuqIWw63L0Vd3Qa/QhpyOlzxPsVIjw4GlTj6GiKEwZ2lpbmzp/agKx1tH1NMbGy6S4KgO9MvLvjFOf8XLCuT4HAnVcWPStQCnzfR699m7zZdusRblG9+vCVO4zbbN/N9TXJJ2QTjQNwVDdRZoy8u5OUStw2v3RWgqZObrtV8p38RDmMtyUFVQW/Dci3HaF1V2rsEwQs9BICbqUvwVlD41CsDDpRISmaaI1FSAK8YhOAzLCkAiaEqBrOl1PkWeJCG03w2y6jtVt20ExqMZNAQ4e3Ic9e67E6uo5aGdtsS70zGx1HphF5dfeQt4JyBZGMwdSZNquS1c7JG+E6EJNwQu3kLgMjh9SPFChr2QYbp/mBdChdnj3TZuv7roa3w2cq7R5FI+CJ3Xf2TpUyPM4+3EoLa757KUHr1Do959YNzXSreJanHtVgdauZdTpm5ZnhUXNZ4VOG0FW94BeGa4tRISGAjiU51NT+en4gSi0vJDneVvle8s9x+zpLFZNq+jX64VavQfd8GaJnlegpI8auCdGoI2us2trB7B//x4cOLAH6+sH0YRJdc5KGRLy3gqTylcSPH0+OoHzyIVNGwUpHqwVKXo9MmVyd98iAWfo7F7vXXXhAIiH0O13vcnbEWhSJxBDAogXNIt/BwQ6/25RvrLsWGf8phZ4B8Dcaw36Z1BL5g6OmALlJp0ZwP7CB3JUR/0uLSx/lqyrE9w6A+w2rj6HmgdpiBEecLPVTx0vX4UUTbIIzAMAdZyHhIBee1weO6/8+xJ3IVhpTgx4MHjrpv1en1dWJ5isTrB+cD02ipPg0VGHdtpiFi2fzUoDNAxqCQENgDadyVYGEMBgZLKjjVh2YwQ95+XdDe146u98HVOOMit5ZSZZa2MIlO+Oi5uNFVA1n69DBdr6nEH+fsBltQCzjtkoEYr55mTbMvCUVWyUeNjNv7Zu7BzPAl29PekO0EApwJeShfx9zgsgaXBTemdpQJ15ynWn7inaXV1jBh8PKb/baKS/xSLDMT31VaFIG6LHbvM3yjKlW4lG675oGCcfiMrTEEvXU0AylGeNaqAW1LwPaLlubpp9Itc5sCeYttq0tm3Tegtu7/P0GkDy2CjObVqhhhnbt+9CE4Ma5isDjjpo/3EFXdfimmsuwymn3ByTSYOZ5YUC9+edQm9/D72ItEN7MJs1ZGnkXOVGMIvU76ldVKAMBAuaJ/z69zXX06F22Dsvay6xwZXh3W6tkFnSxbIfAvUtqDVFqAefxw4fcxYErSusV4TV+qftOkya0qtJ25DcWY3AqaD1NYEKi2faT4EicJBf4zWBE0Bxp2Y1gm0ICDrnhPBk91yEIopvQaMiL1ablmoEqPVRaAjUZiWZPfPZzVp0HctVdVGu0mcVSFPg1fi7nc4wm82wsbGG9fWDOHhgLw4cvB4HD+zFwXididyvyWi7WUnziMSdNmhwwoynCrAher1oEKEQmmMXjbbjNmm4VEJeXz+Itp1hMlkp8iYmIfQtZDUrpg1yMc9FsWA0HANUMGpOGCoFSd1Yh4S0vqBZIzS9wDihJBa+XNsGi5tyaGT6aYgo2nQvaNbz1crK/WDLqxH5RYQ64VAJdJuExEpEy5THCJUOofQvNZmDrQXf0OzzlDDcxQug4/meAkfXLGXcynfDVu4qI2jLd3M9NCEfircRYIl6xMvOIyLK57Dg+jIGFyLS83UNtu3YJsJmwbQBkwlh49AGQkMITZO0b+kCdg7g6KLh22/bmTRt7dYTNoE+E2wFyzpjXHF3deX1aJuufcq0bzH9cPU4+mYjO6pAmdaQ1lNhimoBgMr2lbQxWaKKjQu9fL4ckdVUK+3qcmdMAaToq17oGaK1PQGcqId/r44I3pW2EGDs5eRxjyGo5tsIa7q4q5tG2b9qQVKG2wqcHr8aLWY9dFSUZ4ROX47ixMqYl32ZhOvCbThhUO0zm0nnWUlXK+7Icd4nQSMKpmKlDuDA4NAlgVXnjIUhgVwYfKFlIUzQNGIJkG+6dJ4zhAar23bgxBNOwXS6gclkNZe9BRVo84CZsW/ftdi371qsru4AQpuZ1TiXAjVQwR2wW7Rz3e8dIQFUwWTfF7QJVqkQ5yKFVFZv7zXz2ivCeryc4/O8Uq4nwJk1WrvzsnxPxRlA2755QqbttyE3W0CEutRfUZiy72x7rbDqoeZ+a9M67r9rHS3X31p+E4Nv6bh5oVuvWulMfzO4h4uwiGUdlozaIELa5ty3lCLxCnmhJETqmVLfn+g6IArLHjjtNfmuchupu1CKkXBiRASOCtFEy3RMtH/aKK+0bdGfIkTK3eizjRlm0xm6tk13nLfTNrrMbmBj4xCm03VsrB/C+vohrK0fkN8ba2kdpIA/zAihETrIXcFfq+zGRMjn2iOexIkfmaf0WRaG779YABpet+tatDMx325srCViVAPLUFSFyFAy1Pm7krBQjQkp6qkwT1Wmqp639m+9PQNM2pxzJBmXqO0I/W9QaXshPJMwuvo3JGjmDWBev9T5oD6+deZCNxwvDPn2a/sSzgsYPZNQ/vaMksWl2Ejyv7U2+nlYjEFlboZQH8ch8O2ulVuUYQiYbuq+zhpwZBTtc7JEGCIxWZmgmTSYTVu0bWcYWy6iren8C6E/rgq9ENymrm4Lu5oVwmYTqnPC/lt+G//tnJBiGQWdf25N1/raM3NDUD23qXNNz+j6NR0FHfveuoPre3sGpWQm56xnqPa0PPNS1K/4WoGy4/Tso5t2XenaPeSCZL/xjGd6B0+/+oKsHauU36z3RKPdVTQpv9J8S+fdlTg2X9EnlXakMTTu85Kn3gcFzakw5NV9K1rhc9/IXwjUo+m9f91+Xd+rpN21AGu2H4Bcp1oguePCIyXVg4BA+eq1XE++jkFp37ZtO3Czm52Djek6rrjiSzhwYE8e7+ol7kfPfN2YoW1nuPrqyzCdrqFTy0o6RtGCnatNZ5jwGhSM+QAUlsrK92WchvI4SJEP6K27VL9xeQRy7ImaF4i1NvbmJPprxn5nhcDg1kzNmjnE79Z4qb6AVt6LaX83hn40lmYZ/HV+NyFEy6O8s0d0hvpB06yQP0QHJk0jQqnia/7z7fL12OBJ9ve8sbF8H7kxKd/12zMXBtJ1r5jXT7ZPgt46EXEITnFglbFW0JxO1zCbylnMNq5FijEl9OhAIIkvoa7nUo/8rh29AqKxQ4VPVhdb3ee7het3ERyFsKkRj6aYtdNk1ey4PPAKlAKJPnvI+1+fsA8Lr4uZ/aH3RfIA02Gfa4JCKqiyqSreXkhMBMe7nzjG0n9XK7/fpnIBGgVGFWr41fLUNOqLCOQ8BkYWWn/hV3Ggej8NbWyLgvWURdcZwX6+fn7PpA8xg/PqTRrTJjOahTBdI6Rz5kKV8MZ3zSRg245tZn3lshqNONyJe2YzadCsTNCsNJisTDJjnBj60sXEtmUzNGA3NsiE39G0SVOdt8zOM8F5Q1iBIj8LjWxWxNnE3/NFYZhRH3pvyy7mjfk9JGhad37FpbiL0/VFjV4P0R51ebTL2eLag4r7vgoJXXLVLD+pzUcVlqjJVpLoj1bgkHHRd/P3k4S321sGGV/Tp7ZO2wjfptq6snOy70LXx7UQtG0lRMLwGAu4p/Npjk5igCzHuNWUkFzZgPS97ZuiLmfNtw2q9ZOWYf9NOCGZavt7UtT8KxO1fdsuHDq0D1dc8SVce+0V2LPnqhRgaGVl++D4b2W4fu9V2LfvOuHrZtaNb1aOt1PEeFjIv+m31aMweW7M22OG0rwyzBo0bJ2WAfdRYbMwV049FSoB9ASZnG54vhSIp36e0gqJQ3xXkscjvm0MQGNdRtNajXmtkFmwnUbQq0EWAkNPEKzx8p53Da6vtJ+UVvX6IdbXxG+HeJkhPIhy3zYUCqFe+0WFXYUmBDQU0nudZyK8ZVpVo1e+3SoYxkr7/akk2uCtCslMX+XZHwuwyv8QJpBghWoMaBCaSRQ0xYIZktApefTWgKG9emjdMOeo5MdU2Ow68RteXz+ItbUDPYR6i2UJgq0bzjJCjf/G51cmbW697rt5dVEiHJlIzmPwB9vQhGKjz7gaoWOorUYr3sd3mCmqQTWvYb767YhZDPNsi5jXZv/OLzKFGoNSQbzXf3OzO814rKjXgCKYj1cu+LGvgN3USsamrN8yiLX2F+umMq+tRY2IkvtbUh64+lTAmKxOsLI6SXmbFRGWWnMJexuvPtE+KgJ+OKEJZnNRF5G23XoBguYJGvJvSbfsGc9C0LTjrm6qGhk29JlwzWvr620OFUsQSJQ5u0/bjV27d6KZBIRJQGgIu0/dje27tiO48zVpc1HrYdvlgFeBMFlp0vzatmMbJqsTrG5fxe6TTsD2Xdtwyim7sbJtBWESsLp9FaedehJWtq3i1FN2yzlgANt2bkOYSPTeyeoEJ5y4C83KBCeffGI6k5mtnvGvzUGp9M/vMdmqaTZ8H5zHWEa95ZOIMt0zrnpDY++Fo/SbVGirM7S9cnQOuLrq+87wnqBWJwvaD8WcGmDWBuulcj4rhMoRDyLjbVO5yzL3U1+ALRQgBIdTrDOEggGr0WL7jojEshkFRu1nvRM44Ry1/QcOXo/rr78G0+kGwB127DgBALCyuh1nnXUHnHjiqbFft54yzYP24frGGq688hIcOrRfrChxLbZDRyUoz+dl+inlm5O/p+jrKZ6sZWaRZTX/dmgnIZCIkvDmz/nJt/2yvbDYhJCETACFQFdce6L7BNXPd9o/pxMTXJzFvRSQB64sqZ3jd1ZafVfQCtSj0wa35iw+Q4Js7XyqXjmj32h9nv4UdMi9q/KccDyLgzbGVSAqz4YWZdh5Hfef4K7hsXu7/S7+yLyZttnTUMoGGCJK3k2lh5nQ1iYKlvLvSn4O8XmyghDkmZyAmceoDELJ3CUXW2vd9H1wNHDEZzbbdobpxjpm7RQHD+wFgzGZrArSEhtdkHOdvAhqEnZNAJSi82Ijl182scXMgr/ktwZVa1mFIbBlD2WvWUjnDaq3NPj8Q8Cc3TBr/efz9vL4fIEAc1G3bZMtZ6i+miUkXasycP5qaYjzLD1Wxmvu/XX2OdSDDZVnlobPtNa0kTbN9lFRRiLyZX7btPzOzz0UkSRtXVawDU3AZHUFXSsMw7aVbZiuxXDY5ixp14rA2bZdEjq4lUi4RbOJAFaGv4sKqK3nRuv7u2YNtGmeWda7OXWMRTAI0NO6ulaJcjRPe/+j3bSG8PM4Nk3AysoEX7v0atz83JujnbU4tO8g1g+tg5qAQ/sO4rSzTsdsOkt3fU5WGuzatg2ztsP+g4ewsjrBztVt2JjN0ISAKy67CrtP242Tdu3ENdftxZ6rr0cToydPViaYTWfYvms7eKXD9czoZi2uObSOK79yJc6+09kJ171X7cWd7nIbXHnNdWjbDpdcdg1Ov9XpmM46eNJjdU89KwUsfbF5IMGK5tCQKo3pCbJujzH7Rm2fKss3uKGPdw3mWW58PssAWdwV51664qVz1SiohIkavkPN0xJ7bknbKvlUcO8zmnK/pj5wSaNq9JZlXyYNXAROVzW105mMcUO9IU6Kg4iYMmld18p1B1weGQgxbTpdx8GD1ydBdLqxBiLCiSeeitl0A9u27Uz3hG51gdPO1euu+zp27z4Np5xySwBAN2vQtjOEsFqcr1XwfIqfB0dy08A8ZYivO8/TGt+HFLAolRnyGtXj7VYIqpXRUCn81O7NrEHN9bMmMFkeQYVGz6Zaq13jBJxcds4biAtBTs5LujgjpHdnhgIH7R9fpn1nI8zOMzhpff5sK3M+e5ki0ILQUBybikAsmAp0pq7EX6byMo1K0YK9Ig7lFS2M/rER2xZ12x+yxqe7fh3OnuezUcE1nwrYTdNE3j/Svo4R4pUkTZigazq07QxN06BtJwhNi6aboW0bNKFBGwVT4cu61M6O9fiMXAGleCV046br96+jpXtHLmzGSG2HDu3H+sYaJpOV3oaaB38ZYaxuWbRMW+2bhdI39QnLUP3zNMyZ38vckC+3/h0V7Qf1J+Bgn6h1o/EuUsPCo8XTbujJrc+GG9NvahqoATdNhbwAl9P2+v7VfmmagI44h8KvRGHUeVUTZlPdkYAU0pmt37gF9tIaEQZq7lg++m0OdpGJxxBuPRwH0kXYy/dughnUNCa/7DTprlNjEWapoFemgtyLlwXObTu2YePQhkQZnM7QdVEpoQS47TCbtTGqZGf8+CWap72j0d4Rlcfq6C7+vbEDc/+iaAXVkNbmuuacF8jLCwjeNbJW15CijBlYX9/AdH2Ka792LZgZ23asYmN9iss+fxnOOPsMXPf169DNWqwdWMMtbntLXPHlr2OyOgGYsePEnbj60qvlEuzVCdpZi9Xtq5hMGlx+2ZXYedIubN+1HWfe4nR8+UuXYTad4WZnnY7prMWBvfuBtQ2sbl/F2oE1TCYNTty5Hddcez2alQbbdm7DtJ1h9+4TsO/AQZxx9hm48itX4uSbnWxolgpsZf9ov/f3ivQrtZ/sNyZ4DjWlB4kfA10T/b0llw/095NECyo0jIhK+hbyudhiH0uMkPzU9avBwqrKJtKARTo38hGKJISrldrR1b4wGn90ZV/bNlo8fTsLRlnd8/Vd9H6wd5oy57aBdCcqgx5RR0mwaZqArs2KGkGjrzAmCiDixLh1HUHu1QwgeBfgLjFkXdehCQ32H9iLU087Exsbh/DVr34G+/Zdi5sMmDmxsXEIV191KbZvPwEhBLTtSnSjXTFXbJWKCLHQxAKMlGQVQ3a0NHIs3Dvvd2fnYqqzco+mLTPRXRpeq9RQEjYU1Prm3TyHrkAphE7HT+m9kJ7fayr0vcZHBMrCncXBX7NihUybv4aTlmMD76R2wAUjl42mTytMHQ3lADxNoEIYrfGrvh5LQxrzWwMKaQTbjsvItUmwRBY4/f4sQqQoMjVKbSFYxmcy/VrQp0hfQwhoO/WKiPPY0OWijYEkSJCTUXIek6+j4l0IhFafo4U8hICOWvHE6Dpxm+UWk2YFbduiaSZo22k6p9lMVtBE5b9aRLsuh2MXRVBeiGIwaPNaSutaebwwl89cBo5Y2JzONrAxXcehQ9dHZCbo2hlCM1ma4fSbGGG+4NJzTzKDWdOYDTF1BRi3qR4DU7FCLgLLMGYGxYDTGtTKrkUiXKZ+nbxWq9L7ZoA5tTjXvisZlDpRtHnnlZXzmQWmwrAJt29xqs2L4t0cQbNo5wLLcqq7InjaZ0K8g3LBmCxrrfB9VdMIVsubI4DXlDHqUklE6GZtYoI1CEQi8l2Hrm1TeG4dc70A/czbnoWvX/J1zGbrRd2DLlZbAGQ961UL5jB/x0D0SrVzmgLlM5hKo5SJacgJAAN1unN0dq3UaKFC27bYe+UeTNc3sLaf0rq//uq9OPP2Z2LP1/eg6zpMJg021qfYf91+7L9uP1Z3SBTO9bUNTNemYGas7ljFZCLt2Hv1Xlx35R4c3HcIu07aiU/8y39h285t4LbD2voGrr70akzXp1jZtoL9130dJ51xEqYbM1z21Sux/7p9YlnvOlz8hUslCnK0qO6/bj9OPfPUqu+X75uagi3TCvNNxyKs6EtH63sQVfRJgEG5Di0DMgQqPAHIwUhqQmbHddrAMVKhsTQSwV3J1A9Y5BVzFl/ZFyJKbWVvHqCxvtxUv7YnzX/dbxhWCWeBioHpvy8E80CZC01ncjM9Dk2MHmnofRHJtO165ftnZcpm2JAokBpFnzts27YTN7vZrXHw4D5cfPGncO01l8cr3USAPVoN//EAFO9cZGbs2Xsldu46Caur2zGZrKKNUTTt/Oi6Dg0aV0Z///fn11nnO5ZTWvuyl30/pKQZ4vHU8ubv2EzfJcGuFEr77FZfyKxbTLMVU/IMC4gJx2rZKARMTyt8/bY8fRa/m2Eo1mrhIpzxXIafJKIkWHZc5/esdZIr0WuLtstDcTenxdOey7VWVR3jJhDaLgrhBd0vlXMifA70jSrOzDM6pImRr88SAbCN5YUmZOVBUONDVJSFgNAAYdKAGWiJUhAgkNwn3HUBTbMS93QRMpvQYEYhHhXoIu55rTGVHqF2XFTY7LounV0/WjjiUg4e3Iu2FcZTGtuCG8NxKVQWhJ133gUtaewNpImqk9EvwhrRcGc1+5O9Txh8mZkZrKf3cLCLNpRMhodBhgelsOMFBxVg5+FPTZ1UDGtZ5gvVokHMZ6NsnkLgrzAtXvDstdUw58VVA8pko+xDu8GVDEriyuVd5rQGBdAhvNIZooUCYvHUK3NIUNZ31lVSNFdldM/0bWLk6kKl4AygW258JysTzDamqb9n0xbtTIREPTfQtVnA1La2bfK9K9qhvwcv+z7OgRAKK6MSYf0NWDqDImqnvKMkhKigCeR5NiQ0yLqjQutf5kEKAOBBaEjASWecHM9+SL7TzzodYMZJp+/u4XCL296ioKVqpbBwaP8h3Pycm6e23vK2t8z4tx1OufkpaemceotTwAzsPm03wiRg50k70x1i1sW/bTucdPpJ2QrSZgHDttf3Z+4TAPB5kDwAlH55C0sPapZG36/cP9dd0D57d6XdBud5VpjxV6KirtfMXNxz6/vAhuVPzagoKov6BjxI9O5NYXgY3PYFW8UzleGYlNp4FXN6wGVWafY8+hEaYc6UAdNvfSTalD80aNspVEkUTHASYe61DIm2uLKyDQCwum0HDh7ch8su+xwOHNiDtpsVgzlvfmwVsAaD6cY6rr76UuzadTJWVrZhOl0H8wlp3LqWEZpyLjAP8U2VujoGyK67+byC1iHlZSVGeXUKCs+GmmJO6ALSNx1zEn70bsh5QqSWW0Sbdecza4KmV7Dos3c6U6FH//WWUK1bBI/4Dn3h0SLvz6H6vCoAts5dfKVp0HZdel/QLC2H+2UOgc/j3WF9+dIHyO7OpO3J5QkP0iWBOQWRm0PLASkzW2XVtdjsKF3Jc1rvrnlKj3kUwssryv/Z73VftvOFCNHDQL/TqLMThKD3aYqAKdFpJ+i6mRgCQ2P4FrlKSu/bzH0SVQ2Uf+eotMfons1911+Lbdt2gmLDAzVRCi7zqaRuQQnBsuA3u3mTed4EqJYrFwD1y0iMiavT4hHsJCgnBFAKjabww8bTE0ohun1mdt43QwTOCzdeEKqdUSnR7o/LPEG0yhhzGXTIM3yqHRrSTlaZ0V4tGBQge2UM5Ot9V1EmWBexWl/7Omt9QrF+Ns+W+S7GCnkE1LfeAvsNgCi5N1rXZWUyu7aL7m99F1m1ajI6XPbFr1QZy9XIsG0pcGs29Ufsq2BohWe4u7aT6L6NBCJpJiHdZ1ps9E12U7JMEwWjSEFFEdR2UXGaXdNtmZ4uJeEyKuNE+K2XL8F8yvm788SduW62ihMq3gdHP1P5TUh7hH7b6GanyqYmFBu8dQv15dv3c4UAe2xgzrqsPeu71JdxzfSF3jx+ue05eFYtb7U+w7Rb8LTUfu/Xee86Iy3DKTE5fwi4fcKPnVfyST+UDH9eA/38tu8K3IvnvkCuKNr3zUTWEHcl4+bpKZEEAQKmoBihkkJIZw2tFWhlZRu6rsWhQ/uxf/8ebGwcKoIvleuf4BUcWwbsQouwf/91uOaay7Br125Mp2sxmcUjJnRpHDmIMWBIaLTrtXgHVOep1qNutcqzFR4LRVlmzkUh1qd7Y4WgmvEO0aqprpkazdVbAefxb8HQlkX8qlo0h85k6r+WLwOyG27N2meFYUtH/BUpFo8avVFBV/+qvMrAN4qbF6Lt8vZKAy/s23zqjqxuD9a9VsstaI2Zx1ZY1bZ3yIJoyf6V9dag5j4LlDSq4NMqAmpoQvIEqyr07F4cCBwC2vScI4Jnmq0Bp0IUQOXcZzuTaLWcFG+ZR+24Q2BRxuW9RddcJ9ZPIhC5YJFHAEd+ZrNrMWunaDARRLgtDqIqZOZ4zsA5ISU+9NJrkDXKfTfaed8M3WFYlBeZnHSmbQE+g3i6b5cVMocgM0lI/apCvRf0PF6eyarh4hlmAMkHXet1zSq+88ycF2z9RdAZF/3t2xmtQsbKuUizXDCSQ/3tGUCrHCAqGzpQDoXs4kaVT2v9Yt/Z9qvm3gu6+duBxe4rHABlBCcxCi13qrkyfcoMpmil7BJFAoCoGWsBDnG9l/iccMLJcuZvi0Ft/SRi7IQsoGRmrDVTGGPZEBqjlWsmpRvZkGuX/TcEGvRgSIqKqKQsrLJ6Psq2ye7+wa07J5D5jbyvCDR4WO6ienbL1DvgAVIrN98Rm+d0rzwts6GF687iq8rlTI8GaH3FUpmUP6EvcIpgZOiNJ6IDa97fKZrfd7mNlbZ4pYjHt+gP17Y8D1FEuvbgr8ghVRJ0Xe67gHTWXGkxxXdav+ZRoaLG1JRtM91FIvSp4se2v+taaMgTSv7oxhOACBQaBJGYY1THCTY21tC203iMYOtF114EPYUWJMr4NddchpNOOgNtO0t7eRLG/T7a9GmmlO2ESnKKVBVUO0aHDs2CCxOGhFog016LwyDv5lxUe+6xoOr33vLphTwv2NXKUNIo5KouCHrwgYUUx9o3hdBS4cmKfujhZpR+Mc27Flu3VX/GtXRdtfiXwqGv1wcQKmg4+m229RBRcYZThV/vRkuObyrqwxx+CyhpOepKsgJ37ffAoC4raL1ST72Q1MpJhKTUS20LqqwOxpIZkmsthRy1tus6hKYBtdm7A7Ff9DxnGZk2t5uJQIx4bUoztz+WgSO++qRtZ9nqZYhO15XEuRcG3UHNRZIZJfFKjEVdMCrKW4Lphi1+wbnMIdR7Ie8d0bF5fNk9Qc6VO2wxLRknbYf8cbGah/qqGpp5AW59ZreCd4Fnv18sFONcvIcpY76CYagPFwryhtGAJXRkXLErAt/g+yhI2Gq9oDnUBotST0MW66LQX6JDfavRl1VZYgV4nVehCQiTBs0kRIEyMwo+TLZl+tSFNvWVqXvSrODEk07GyTc/OV2tspWgymgvQWdCtOKkCLOTJita4liooGmvjNC+bSZ5PIjM+LkzgcD8eZ8Flfjs3B8VvFuoZSar8xN5vVfrdAF5UBF0Et5ad9ul604SXgPz3SsMPb1EEkr7uNv3CdfOv++3K5XhXKtSOdx3FfVtiT/cZkHFv3YdVr9Hf1x9usXT77O931VhUv4NTd437BxV4S4JsGZeWXxqc7Sgl10pCOi803nQU3QEMx+Yizb29gYS5snOIbmLzt2Ry4zZbCPSTrlAve1mmUFNbehfV7VVoTMhzokIa2sHcOWVl2BtbT8AWavpDs6ujOUgY5iVlXaupt9d5gM8T5Pok+Fve+vV5o/v511/0nXlXEpK7CWH0gpdtbnsLaY6T2qBgKScUh8nz/UgRHbO+atDSP+jfI/kkEKt8+03PGU+TzhsmfUCpRXQrDDKxXv5V+/PzG7CZRtrUKMf/sxrtlb2BeuSXvb7IxBlgZXFomrLtIj6vcHSTq2mxjtbvtLik447BNvGeh+k3+Z6FBU01W02kFg7m2aCJkyia62kNc3E0D5zbpO79C8q+6J6y7XtbG7E8mXgiDlDjvdsdl0QbXjXgqO1oyvCi2vDKpOESz/9InUJCsBssrmNvyrkRFeMIs37LyyozC+8pYWb3uuKMLgMHu7bI9nz5mm1PHEpNOABQMtm0aqgtBwudcVARUgvFU4F42WDRwwK7AOEkucgWjB33v25RGawfZpV8dd/h4TivLCp6Hu72Enz+n4whNoTAWV6LeoalEQ3lJVtqzh4/aF0dr1rGQ1p+0srTBY+20Tk2lYi1q6u7sCuGJl0/dA6rr3q6rn9c7yCZTLtvOLIZGnY/YKBtRuNlhMFUOtuLeXnfnUV92gas3Uj7XsS6LwBUeF+ZsuoQe2OWU/vFq25HnQsLm/qJqzMYCWYG6vxqavju0j4SpZTUKlGt4ypO/86rAzq16njqpZCEWgHgu4sA8wpQmtsTPEvIZdd0gvfhjkCpwstqe5ffg+wQVqUpsjVIpoOBHclQnIFN0HdLK5EmaEqgAiwlohabAMvsLtnUsbS08vULnv+KQAQ2tU0k8Q85TUdMJttoFvrJGhQO5Nn4/pm27XVoU9L8u/rrrsCs9lGEiYTz2cURPYbAAWzrkIRUDLZmn64HmpD69e+ThFnqUJzKvX1AgKhLjDaa07UMurLH7JQBtc9Q1ZJj1NP4UZZMCKUgW1WQkjCk4Xs4joHtxDQxUBQNmqt5tW+DygtnemdZnbk3ls7rZutx6Uxc9Cf5dR6bZmdo4GWVgUgRezW59b0VXIVjjStIbklwYOlbb0071pbb1x/fM270DQILSNMAhqOR28AMDdpUjMzQtek60/kWqcGHCPQKn0LIWDSrKCb6BUpk1jHBIhruOA7wUA8yynvu8hr9MftSOCILZsMTlHc9CyXaMCzZsALY4W2ZY7JuSAUjrlWsO5FXEid/br0edH1KwUe7gxhP22+oDmvrv5G32dKfd78nM83pg1X880RVi2z4rVaNq1GkO2EpCa48Snrqe3FBQM+0DYrwJbtnC+UDzKeru5BsO22+AwySRWoCBWx6AIHFSiG8CWiXkCWIr0iBMxjflTQtfNMGcgwCcXdmkBeU13bFzS1Po1SO5lsw+5TTsEpNz8Z23dtx/7r9uO6K6/GgQN7BvE5boE50bWsURwWUmw0aBXatU/TmdiKcBAaipc1N2nNDV1/wszJbb5HTwaeNWgZNaGc606I8ZGwa0Jer801+mFcfVNaRUucGIPKWb2SZuX3y0Dqm2Voa88duswzb70VNKa3D5kytP81vyvbzykvqPXoaFf2t8UxKYhac/Y6KpyUzsyby2lP6JD+1BO1NtZF+5eiuebR7+VAskqndru57vfXhFPoz/10linUdet6N/h0ugEwJxd35q5nrSrauoUhr/ku8nIy+G07w969V2E6XUs8n702RvdT9ejoz+EBIXHJRc1cz8ougRl5fYW+ksDPIws1YaxWXxGxFPk57fVufeT3WbhUq6S3aNpvaoGBEv7mPw9W0KwpqrybKpDPpzax3iaEXltsfqAUhG1+b4FN3zp81dqplk9fPg2UZftM+rC0bvoybD8X+yb8vhOjEKuCorN7D/fo1yBfiMyjpz3O7GdAecRF56nWm+izsWamYzkhJDrbhEn8nWl5CA0mzYpcgdJMMJmsoAkTeKU5c7ZuxgYOzJXuqAMEHbmwqQyYETKVEW3bWdJgWb/kYvB7LlD1eoqFRWVZdiBr3+mM8ALJ4WonvSBi+yClmzYMCUNDBM8++z9f/tBCGiqjVncx+Qfq1+chITR/k/+KPnDva3XYSV3+7m8oxXcd99ppBapavwz2TaUfC+F/sN3D/eE/m0OL6pDahIIIFPPdMK4K3PkyUF6zQJQsGE0jvv2WGQWEwbVBMWLVCIHSofPtu3bipNNPwu7TJKLp3qv3Yu9112J9/dBhNvT4ghoRrjG9KX+XA2cAIoS20xlm01n8Jo5ndKEFRZfseM6ydkTC09KqskX/Zb+Jmh+OMaq1qVdugUNJ83IdWSlVfNuVgkRNMEoQ+rTP1pWbN2ANc94qIYTE0VTXbS+og1+/jr5a+u6VUkbgseD7uXCdCo4e2/FxZRXCoWGivfBu36m2vsjrz5oW0p+f40jnN+fuTwvoZvpmYF/yw2n3gbLvMqOlruW1eixjlc40OeG63OtaMBgrK9sre2roRfrEYYU5PP5B58n6+iFcd93X0cbzrF03Qzdr016TeEJ35h+wSmWzLy0BXlE+OJcTPUYvfVFdaa7MoW/SHE750rfuzKcvt9ced7bf1m/X1ryzm42Zu4pPqHxnwb5XwVC+zRZWnedDPI6WExy+Gsk18RIVnrNoLyRoT01QVqHRfrPoHKsVYi1Otb6sPet31mLq6+kZsQo6Ws9j8bETKhS8quXLXX1z6LZ+HGKQvWDOb1LIgYJs3WTy99YVOMlymSdsS4H0COGI3WiVIW2pRQN1sTOBQ6iuNZ03gT1YLWW5gda1Y70J7SdKdCmz4c/n4Rb58/RAITj/6gWMWm/Donq+St1lWskQJIbOflNhpDzz0S+Xqv/W3vU12WU5mn44m0et/2v1WIZDND8xSibs2US1jtTrm4eblokOcpC7GHj05pEtU78vy+sL2pkQ9ev2bc+/5QNqgon62GcqtQIy1xVoOgUqXPH032YS0EwarB9ajxFSo+Z6lrVXek2F4rXjhB2YrE6wfZcwY/v37MeBvQewvn4wMR5bEiJxtkysvgeQrMVWCPBgLXPUdWjjHafNJIirdIARMLIjUpoTSaNZpxs2j1kwS7nmW9w9fbN55nTPII1Ja1P8nnJCzVXOCqFyOqNH++06rtZpBM1Ba4anBfYQUWddi3JXqttzlW5F1/46k1HWrda34gyltyRLxlR/b9/ochtq9CSVo3VERiIJZRU35UVMldRdCpxeUWDr8/1DoOxqqbRNI242Ia4Hg4d6WZgo2b6+zKCh12YJaGFpZb43smx3FiKZGdPpBlZXtmEyWRUeBwBxAFFnooPfdO7bLBlO5T86XHfdFTj11FsgBLGa6Pn/rpMorhQsI4vC4knm6icdP19f8Rw31IV3qcc8YTLsPWTLpUqZqpS1ECjT90CESfRMSWvbudDO46OC+cYLnMylJ8vQ2c2inPRcCmWelyqsjxVeqCbwTUJIR+I6JlAcQ39OU91oPR84FERI22rbYfFoqLQ2+m9q9WgAIEJ5X6lCba36djCRXK1EhDa2OzQBXRdA3PZ5M4s35WBu8tvyXFEB2SLSvpKeU1cek8p7RnwHo1BoCMwBPGFQSznKfdOg6yYiKEZhMYQu8WVK4/I5Tz9e+XbV6JSMrkP6ZjPgqEqRc5ttjFYm0m/byllOMCOESTVi4sD6N5NKy69rCOy/WqBnqvKmZrQvCxiveQKVrWOIqeiVP4cpqmoozHNuJ3r5vJBp31UtHRWw/TKUt5ZORMU9gvO+r0HVkoG6wGqFTM8gWubYXvEwr95aPysU57BqZVU2wYJxIUKYNMlVNbnMpTnTrzdv5C4gSm2ezhufCqNYK6OZNMnaBmQrib2nzl7JoflWt6/ixFN3Y/dpu3HCSbswXZtiz5V7cP21e7G+fjC5V+hh9a0GtTmufScWyLpQkwQVRwO5Y4l0GZkzbrueFTMYV9qCKXOW+9It2zBLZu1qXn2UKwH6AtMiQTMrQ+TzITf3QbAutG2Xo9Sav4I+qBuu0rj4u0f/9M+Bp19D9KyGY9rczXEK3fxtvxSCo/ZT5+hX6M+bmmtfDfzcUqErz78sbHkGwloZkyXJncW2tMdq0RftHT1Bc6AtNcFXO7Sg95yVyL0+iP2sQbRSOa6O/ndd8bu2B0hQjXxXXdtOe9bNw5rjWwjmKWfX1g7g6qsvxcGD1xfRaWVO5XmWhE0XJAhs8/TLL+p2a47NXBnGEUnAndc+74U2yP8ZmJkz2kOC5qKrT6ygOeQimn4XAmiuV0HdXa3bq8XFt9mnWdKpx9+81a8x+FkLro9M68G6JNs/xUGD1QxZN61QTe77Mi/1BHe2dTuByfaD/S71HbKF0Y5NiEdQNGqs5z397zTna1Z86p9V9/uV1heUzzV1No0JAkQaBCggGGFS/jKN0z63Lre2r0SZoO7wHey6Plrl2lFYNltwlKrVbbbYtMhbA/rC3pAAmDZPu/EfBmOjUTlB/UWnEyBZCAIVOFocct056l4w7mFeIEyBZSp4WuGoaD9RlSDZ+hXPKhhNfo3ILMM01PLZu+R8/nmWBS+oyHPJfPW/KTX4tl/teA0Fw0qbhoaH9ooH0446fnX8C8bStH9eu1NjBsAnDxGnoY+LdlIUErgviPc0lwa/xKhOzN1KMMJIZGYnOyZY2baC7bu2o1lpsH5wHesH1nBw3yHMphu9aIXqbrHVoGkm4p5CTXbHa7KSo+btIJtRf30TUeFi2rXWxTENQBIYbfRPIkrrXQXN0ARThnPNKWgbivdFPcj3gerYW8FS8fLl5Dx9YW+e0NoT2CyNM+1j5sEAbrU6a/Xr76G6fX5mLvCQ1pNRlXPqa5nzWUmVaSPbrh3EYfB8dgdzf+6wYi6EIKSg7VKdtbb7+vVZ7tPNCi8iSlbVlM9dhTOEi+SlrMiwgmjcF7mtKDmIBgMs+X1VxhwICLHfAeryOqldmdKj78lFMGAymWAGYBJpVtvO0LaMjY31dMZpS3tsLAE61zPDKX01m01x6ND+2Fer2LZN7t/NClSgCVGgpNK6qcx9wS9aQSGuPe4YHXVo5FJNsdYgJM8mbjuJXrIQf1tnromobi2dBypcyT2cVhG1mP4pubKRZxeBX8s+CI6UW9bVVNar529rQisRAXGsO6jVssTHRqyt1a3CpV5doqNT47u0Hz1tslbNrKMqaaf9V2mXDRrUhHivZpVmxTtKo+dCIEpCdo13CyGgC126ssTTctlPAwLUE8Ip/QbmCIDsqdIEUBHUTPiEEOl862iklpvGtdIvRBTpXT4+oFejNM0Es9lG6lvBV62xjfQHAwwJGLQZcOTRaJX4dK2Yn7sWNJsm9xVlhqzQmL+VBe87Zug3SeaiDO1oAEsJokNa+6G8KZ9d7KHu5mm/yQ2sCLBzhELftqVhAZM3JBz5/IvyAeVVGFbATUxhpVybxzKuebHab8q1Lr/VnUwFTvuda3tTF9bmnrFyoMx7xsG7tpbtrvVZT9Cr+XVgmOmWNSPE0ObN99chMYYWt1r9cv2GF4iAZmWC1W0rafPo2g6TlUbeNQ1WVifYtnMbqAmYrk1x8PqDWDu4hun6hljljKCZLRNH79d/Y4QQghy0n6ygaVYKNy3LKNmNhZ0SyG88+q3fhNO6iHlS0ACnHNO8XdvV1y1nl7VEgx1NSjiF/lq1oOuyXKuUBTPzbuh32tAsb+jPUundi/HS9qK9jRMGh/AdwMc+19ayz9tz+9WxNJGwC2Hb4VLbF3r9XmEKVXGW7qFUpZ9R/un3yQuhCUngzOXkdvmoqgDyUYRYbohHRACk4C5kBz4JlLH8tt+/UnBM72QOM+djD76PUr8EgkRANP0S2yQCddcTCmw5IjRHt69oDuFZDmpDUVHEgQFMMAGjbado2wbALLVDzzd13QxEq1hZ3YbpbAMayRaReduKNG4R2P4WA8MUs5n87d17FXbuPFGE0i66MwYCtZQWDFED6hgcOO6v4orctRT3XEYgSw/L3V33GP09RPPg1jbHewaL+dNxz43fn7e0gWes9c6f5xyystVwzEJmWa6nP0NXpUjZiHVnfLx10dO22nttm7Ww9ngIne/xPwueljWB0HZZEPdus2U/lGX5fdAKwEEjwlIWHnv00vZ3/J7BCCRbSnpPZRRaK1xKnZzcaTV6rQb2CyGAKV+hxCT0Kin4jMDJXVZ+cUByP7Z9nAwkGNpz+7IDdaXiONXt5pBaMW1Z6exm4QklUboBRLfb8qq1Wh8fDRz5pXgqbFK+R06uQmnT+U29fBtAweiEJgtxxQKvmLp7DINxawJQuHSmd7oxVCZ6sQhDH4chKKyslYlgKijK1M3W1m+JVWYK+jjOY5xq7aoxTcu0LX1fsRToeZohK0B679V2FoxbWVZEqMZUFQdadv6sNrfDJCSXHO0/f43EPA18GkclsO7sVJiEnsDp2z30bBJK7tzUq/3hUdQ5YImX1ShlhoxAFF3CatowMngpw5YsaXne80y+X92+inbWxjsfG6xsW8HqthVQE9BOW+y/Zh+m61PMNqZo2y6fx0aDjtujJkDHA1B0UZlMVrGysgJVBug8tpOWjLUTRIUnRFlmX/Cz7swcssJO3W1DiLybFbxM2URIuOj5crXC2k3GCjt+w6vREKBclzVGxgtdtq7BORIoCW+9965sr/QpsqvnCRlts/lGmYWakDlPCEp95d2gI+2Rb/roWwExtyHTP98mX28toEn/EnHnYdIE8KxF1/XLrO1VVYWYqTtZMCxhNgx/M1HXXCm/DCiW93zRmVUUdiEydEYolvUCAMqoaR6CXllGROggUWI7ACFwcbZIxyULkHquqQNxpv1K/8VqkPuJqEHbbmA63cDKyjZMJmvonHWzNs+3Ikh/CEMq8y3fydy2M2xsrGF1ZRvW1w5g375rsevE3cW54I46UCuOOMIoh/5cVz6SVWHpj9KoNRS97wCjcEFJh4FoEVf6m+hcva0dc7IIeqgF/rFum3Y+1PP2BbuhawBrLrk1Pji4Om2+msBgy5P2yjailn6Pi0ITr09RYVMMcZT+9eWqQCd1ZOHTplvLa4jrvieAVgIo2boaIrQu8Jn2S2cE1sxK5+tbiAkgsUy3BucmEGatEV6jAKr1UhOArnXeZeWeJG6ujK619EqOMLUzCC9Yc9Hz9NzWG0hlwrKfA8l5UmggIHWVncU2NzFIkLrWRjfalLfuWox4XjOEAIq69LT+jwKO6gZ2Zo4SsRhhxA1lFjWDZEL2uu+ilkkJSVBtpApmvckv2gH7DPQZoEXEP2lCK5rxwxHK8u9eYpFnKSG2JmQChyVoeigYqkDD1o+h7ytWyrkCnGUuB5RyeQHV+6/GfBXKCm2X+D2k+z49LzSPQNu09C4yhvquyjRV21J+b9M881UgGL9RgZPdvB5iPik4AdYUW3Ol7eWx5UYcm2jBDE3AjhN2oFkRr4Tp2hQbaxtYP7iOjbXsaqH3bNa0cHoofSu6nenFyCEEhImJ7mbSgdzPluZZQUfHygYoU+WZWAvyPaY61nqHnTBxfaaidnjfC1NdCwTje21pg6dViqefavNo0zwh09OIGr2opdXWKoDCSmf71tbrXb2GhEorsPW0+pV2E1FiurR/tK/SN6xn0SDBhgx98PSt1jdDYPFUBUQa31mbygNyJFAvWDJzcvHSsddAVYXSbaAvUqML+hn/rdGf1M6K4rDGUEG9OfIYMvRO2mzht+1P7TZt6jGAJIKO/OV7wG2alJnn8my2gdXVE7Fjx4miQE8RGrveOG5FWNQ27jrMZhsgImzbthPT6QbWDh6KXiDCw3FUAlNcE2jMXFRLo6aFyHdQ6Wpbw6suICEGWqP+nI3gecQhvm/Zd7YcYej7Cv9AkDsbK23yc7S0mvZpggqtZfl1gc+XYdta2kaG21XQJwZ0vTZUWg6ttdXyPV7QVFxbt3btFS0FfUa2UtbAuuHavrIBg/S9CpQtcyFAawTdWdvmIDpAChRpg7+FEICG0arHBXN5/VScw0LPMk1UwZBWJkX/VN3+nZEhvxdPgNoYpTZGl9mmmaBrZ2ijuyx3HWY0RRY08/3Cfj/M5cZnAqph8Y8AjtyNFirp6sbeop11mIUGs5mG9q8vnt4Gzk7Tw6U2mUj/l591g7FlA3nzG6priJB4IbIof4776zLRHv03qU1z0vWdJxQ+rUY8C8EtTX7qCZFeKAVKQVMiXyGdTasxafOEu1xQfN/yUu22+A3lpSaIW06Bh+Y/POHcaqr0XC41JnriHJh3X6wV7tK/A23y42zHkZmjenh4Y8ltQXmJexMS09tN25R/stKAdm3HZKXBdEPW6/rBdawdWMP6oXU5D6Nt5KzVUg20WjUT83WYfX48QTBuKUSEZqXpue5LX/Qtcr31YRmFprTElHNB6Xz2jGCGMGgVN7DeeXh/dEHdz41V1I9ZKOhcub4lQ00wzUKfuuL0BAH06VXtuQY1+paVUfVgGDXBUkE3+Brt7NXRO/7h6Wd+n2hFQYdyv3dOIeXpZ4FTQHKjBTJ9quGelWRZQdd1cX/uuJc31Yvhs5IWz6LtSr8cHZN5ULYh0U/LSAZK5y312bbTtif1tXK0KR1J+OwcE5TXiQ1qQUZItLg0UaBVpU1TRGyczabY2FjH9u27sHZo/9x+2oowtB4TAw/GbDZF06yg7WT/mM02sLG2gtXtq2gmIZ25JAriPtuxKL2aSCuafP2C0IymuosIm6nztqSXfo0rvbT0Vmmd1IMUq2Ae7zHUF8Wa6CnPHT1NbE+c77UgOFFZOHR+U4RQ9w1RYTUcioSrp3e0n5JQWLFI+jqL+oEYpbWftwlUCISeZihuVujU85wFLSdnAbU4MpJwq+2xAmTHdVpOIHHDJXHx1fIy7QXA5nvmwrpZ7ZdoZRSarEJlzsOQ+oj6NBqIHiOBgQlAHTBZnaCdtsWeCUsDVbnWyhEqdaeNnRZxicqytj92nueQedCATJCgmnLRR6fNHXbkcBRnNpURL0Pktu0sabz8gCXtgAMZZ9VSx7wdDwZQ4KhlqdbRAdRouaUWNw++ESgLPKjPtFU6uEqoKswVgEK77HHQz3plVb6pCT01/Ku/Q8alcO/qULQ3MaTJ2lK+s64DnvEZEn5r+C3S4NfmTQEaRCSdVcrly/eA3QRqeCzSTicBveXeN728FUH+cNtaY8R7dcy6hQte3dqK8prcLyurOUL0bGOGdtbi4N4DmM1arB9cRzdro+ZOvs2BmUKKMg3dADK3HZVPy2/gxxN4TaDSOiCvH7F+lsq12nm96r+OjtXWU0qvCC1EVJxJUuVEGdJflEeaXhVyzHO/E+qKuizsdMW/Xniz+Np0SxM13Ste/GZY0tHF666mue01b4411ANFLsUKm7ZucWnt5tJ421Y9BuDrtPSMHU5F3kDxXBBSOc2kkbEwZ0zjj55G3fb3EJ7mhbxDprDz+k3L83USlVcySZlegPVeLnoPMKpzwM+vfltEE5cFFXFB81cZKayvH5RAaSurCOtx7UPxGmbWj3dQRlPcXqdzrIwdoHygCRxE6wRgJQdW5KyQsWfJkm6mLHTuOu3RLSwYB1cJEUT5OsBbZkuhCivUSxMLZF9oq837ApUB19Dg5jqlemJZTqC1Zz3rZ0aR2pxcVgfqtu1SsBFkO0sXlIQ4i2MNd0+/a3dcpvtK3TtbTmp3cj+O+w36Aqfto+zKixz8ByI+dcjuwTINMu2XdwFd2+YgQlH5l+SXhjGb2eCIhp+PPCORHAloZ5auRiVy9ERDCGiiwiUEwmzaAuuIPDqngETaJq/g9nsn0pwICM0EIXqigRnqvcFdSPlq9F7HSz1WgQCmOHfmrMtl4KgDBAkIcZINZYrpxlrevIKdcKVGKU/SviDowXf2kGC1DN4h9BdEpcK5A1t8tqD+Os4V3FV1g0qaeTckPKXnOdbWqoVTo/1V0gp8jfXzaDZaj29aUNEKV8ufQPuoY3HBa0JhhSvwxfD66BEz03Z1W7QMzyJByvdduT5qyNUs/E5w95p/nUeq0SKS+wjj9RscywUy8yyHwqMQuirLvZ112FjbwNqBNaztP4T9ew+INn8ju8Aqg5Cf5bxOx61oAysuIJt1H9ONDZRQJy10E7IrvmVOzPkg5uweVjBIXQcyGn1l2SfRhVnPbSojpVr59D0LozQ4J81a8sxP1zKIzPcmmIf5dJCcVQUdLKa/cxU6c2hcXWAoabdXGi36Zh6+Nt+QgmuobSkITqc49Msfws3fz8YSCcO0qcxvBTjvgZAEOFWwatC0LreLOwBN2c9gYR1LBVK1k2pvE249wT4yO+mMvlrGYhRfdJzu8k3tC/mKF+umpkW2szavMYMkd31lXKapAZQETUPb4zs561Ser2busLZ2AKurOzBZWcWsnQ62fStB17UpyCtRSH0kwmdX5FPrMhkhsus6tNOZWDfNuZqs5ObkcsiEUgSq8EpKAz0fNXc/dt8X76y7tSoLl+RnbOCgmtvsIG0ZOKvpXWfnCZpF/VQXNP03ZPC131uLqKWjAGB38cKKqi91aasnAKnrp9tvoqeLBUtXa26wQ2c4h0BxV/xqtJsQ7+4ksU3oeU+NttsEJGumRqZtrPKx6yJvlfffEINdSZ6usG4KXUEU8mIfxzP10rxyzCX4EGES52NoCBtrMJ4pkaeYZmt9qOzvIUhsicKzCBIUqGkatG2DlrJ3m9652TsQavpRyDdjQE9xWHBUZzbLDSkLnNPZhlyHEi1kPUFNz5+hkkZIndmT3CPoz+qZo0QkqZenqM+d78h5XV3V7/sCXRVPb+lwA9YTosy/VujwzzXiZi0tRCXBseeMNI+1cBaH5/U3CCCOzIoxaEXNDJysMWSJKIi+ifDo2zYXrBBuhdHoTmgFTt9Hvr9qdSaGpDFCQswzFCwota/CgJK6lnTOimAYOSm/z0ja30SU7yIzTJe9UqMXBTgAgUrtlRxObzFdn6JtW8w2Ztg4tIF2OouBZ/KZQitkaqCvdN8SyovV7UXfuvFsxXs2J5MVhDCJwaPiBmuuCel5TnT5YvHa3GbmwjVd5lm0RLVtYq6SEODD8xvBp5zrUeiNyodBpVPMaL/VDcqXBWChO+kiyNYpH8W3X1aNdtToin0uhKY5ZQ3RhBRgaICGSSbK/V6JiJ2+U4+bSZPOUmrevPz7VsRCcAb3iINXzjFzonk1RWMRFZRIlB4sjIp6/hT95/Cw9fdoaDd8brHc02J+o0BJ38XyC2GxNq9MvwfkAN3pvtGGUoCftJaMYkj3cxaXj0SjbLAaXWeKvxVsJGrtBDt2nIDZdCNd87aVQQVvDfhowY67ntHXPa5tZ6nvmQNm0za5+BUD7fiOPC762N8HlUbaowclD4dUpuXntGwPSrstDAqKRIWQ1lToqndltVmsoFfj3Sw9qLm6eh6wJiR6IdXiXdAWpcWurTYCbme+JyKg66IbbSkcehdZ3y1cqdf3cc0qmQXB8hureG1IRKRAuZ6h8gHjyuzyKktKkR4RidVRvPe5nEvGs49DB47BM2WOZcVx4hlJrJspWJAqo7lL5enZTq2jaQKwKl4BzaTBxtoGpjHmigaETDIIxfs30w0gbcGHhSB8oK7nNH9SIKH6/fR2PxXFU9PLcyRwdMImUGhE1ewqRGiama5agwyT1kszi4kqgl1MnPut/Z0XZEyo1FswNkrAHBM5jxj121fXxFWtERV3uxLvenoP9zkWTclnfvszX9EtQvOo1sfrt20f6ndA1sJ4i4Nf3EnRqcKT1XZ6KDSh9bZlQdEwjMZ1TIMMJUG7QuDL9gljVmNcCwa1ollCRc6qMWSAGatOAx3VXej8N11bI5rR2uYCcnWdWDpm0xnaaYv1Q+voWg10wZEQUYo4HCYNZhuzoo+ADl3b9tawtYhIM9pEnLYarKxsx+rqKpqmEYbHacYt4wOgF/0VMPMnjpvea6llMLO4Ps6iQB83ot73ESxN0bPVdojsxlxajbLLrS3TjrnOxwS6Nk0bhwTO2vq3aTX8hwRPX14Nlk2rtXWICZ1XbqJhbV1QsgEl/Dl4yyRkegRgjvASeaB0J2YSNLkUfC0uNiBcZ6JRhybEo991zxLfb6T3rVbxMn1b0cUlhqWCX619vsxi7qh1NraXAqGb9bSdKX8zCWinaSNLrrLMLfI5pTJoXnYJDICeZ4IwvOvrB7F9+y5s274Ls3aa7qfbytA0k9SnNYWtnoHt2lauv4t3LEtAsxYzANREbxlmME8SX9UQJ8tmmJh7hIMKlSHxfURyH3SIzHeIx2f0myZ+DxKlKpBpotan+2JKiwJwTTGfBDRjuZyXZgW66p5dWT1WWFvEW/r8QLZK9niS2JZa+TpuvlwvuAKl4Gm/8cF+Uj2Icpgq05x7rd8TbNlE2eUVRFGYj15Zrr16ZYm68WqgogKPinCblLco8c+W2nzlibrYxnCsQHSr9e60GjMkCZZNiIGwkK5gYiZH+7WvM78o81MEUr03WUU7MvzZxtqGCLZAOrdp+Q4vpxBlpZkGOFTa1zRNilAbqK5wKfmBfH7zaODootGqH7gynF0HjZgk4fo7NOjftSlad6QLf1EwRYsFprpwV9/05Bu3qNUi1iMmyqQhnkkpBRPN0+sHx1gNCX1VbbnDs/Z7iCm0z/acJZDHxl7Ma/32/YFswAicqKRRmacGQwTTC3gABu+xqwqV/p2e2TTErLCaxLLLPvM45/7yfWqtQuIuWVo3U4TfgfHzjGd6ZwaojGDrLZx95swKD1oXkVhQiMoocHrusp21aKdCoNq27V2fkIWjgOnaBoIpK1kza2etTETQ3aechj3XXtUrcytBCAHUSJRFZWgU+jQkz0t/5py5pG4inMs5lK7tWxA0AIFsvCHRR9vFKrikd67/LW0iynN7SNAq6Q4qdfU1yFUBASW98799/fMEzXnvD0dArTE7HixT1FP+qBJqILrsvPaQEwxzumfijVur0m1TX/ozwctseVbQVPzsuxREp81MoCU2jD4ds78JEHdstVp2hm4yl7+NO7BWU7SvY/S6jsRK0Nm+cBblVK6dy7ECIrHSWm8X8cjIAYIsA9wfNzmHKDxLADGhbVscOrQfO3acgO3bd+HgQVXYbT3FmgJzh7abFeM5VzCKwnkaC0DmaAhy9U0rLt9diHNx1sYgKSR3Exp3Wzb7e42mEJRJFxfBQlB1wqhG/1a+kZp4JCIq2xsyxyOIyj/zvtEyoL9LQU3BBsxR/svnse/0vQpOQOY7fR3eGmnHo6nUU8trcaidj+yYESr5C6HQlaNCoAb+sQF9dC7UbAleAC0EzJhH3xVBgCLP5qNKA4uuRIl7Lcq81nUWXSc+mpQFWRW+2UTj17mmAcasYq0nU6DkC4or64hgukni3nTq7RTA3GAVSAqTtQNr1SNMqV47t6IFk7suudiqJ4Jei0Kh6Y2DB5Xrjpa3O6ozmwAKwYO4ZOm7WQvEc2I15qLGpHnBNCZWy7DfAciWgPRsCZb5qCIkFAyYI3Dl5mvKquSpWzTRyzf0XH7X15bVBNuy/F5x8p0Ttlruqq62+rsUbOK/VnilusbaM2ueQS1+hzoDW2Mmi/KU0amkFcKsQldnMis8opRXCLJUFTg9+M14yFqQ5qYN++7KCensKmVLSSSgauFoJkAwhA4zESi7mVgyu7ZNFxIX6yoF8yJ0QdxBV1ZXcGjfIaDr0lirNVNIc7Yay785yuT+6/cO9slWATueViFWuJ8jz9+u46RxT0y+0hzmHIVR3WMHhDILqtwYIvhpaimDTlQVLOVsdjmecIrLah2BhHkfUKT59T7UDiCfJ7bPrRO2fZ8TUc/VV9O0PL9pWlw8PVFGsogCCPTq7LUjMsI8M2M2oMTxd/jWusS2LX3DnM5x1s7Qc9vldIOvupbW9ouukzPXGr0w45VdYmXORI2+FRw7Oy+jUDvr0/j0F9ug9TOjxM0Imuplkfqw0knMnCzJNr9EN3X7BnIRzFzc46oKNHEPFYHR0zY9BuDHvZ1NsbZ2ACsr27Btm1zvdrT3zt3YIQX9cte+aFo6I0tiLUkusxH8UKqyAcAgHQEyXdVrVAoa6nm6SOsKmmX22VQm5W/TO8PjNPHqkuBoQcFrGYumCqPWu94KlwAV33o3WxUQSwNAPzJtTchM7UFJq61F0qZZwdL+9vl93bb9ar1k5mRp9MGTbD5v5RTWg4oTUYqjXWt9IwcVQigMHrnfOLnCdsYF1+8Hat+wAmcgihZMoEXnrJoAQpdiUBJE+auSsB6lYaYY8EeZJzNvSCyXzEjusqp8KyKUB0B1VxQIgSUwoyq3V9zxurW2ruxKa8NYNdv476RZQTeRddxMVtB0s3SEat5+rTgvyrMIjvKezQ61M1ra4DaOkj1/SYSkbdJAG8VF6EUZlqGLz3EAC0HSBuGgclCsoEnOncIy4RTVCzWhcT5OOb8yBk0TtXmOCVUcpO/6i6qXt/IupTkhE8jE02vVbJq99LbQbrl0JR56B1JPq+bcbmEsq4UQ685oWsbEMom+LzyhGOqPeYJ4+j4FybBCLRd7EnNdEWC1WEAOrOLz1X4DSO6Kal1I+Gq/q1sjZaVH7jN1rehAoRF/fiAG1BDXV+46dK2cn+lmYs30wrsXxm16CAEr21ekfXas0IFYLgJWfHM5YunruhbTaQ4G1rZtT2jYCqACSddyupeQug4BoXBHt8InRw1pVlxkGmPXgcyLEK1F3Bs7cFYDEVQoCWIN0Pr0ypUg81ryIk3uLHBwZK3LQCqyNjL+VWWP5avjecAaw8jMZdAaQ5trc1CY/zLITV+4d/86jwib5vNrX3rB09/X6evwG3DBJHfZUldE340EJQlU3FeqeuEX6Atc6v7ucfF4Ft4MbSFVVccwj0+bvICSy7cR9LjrUrqt19Zn+yevj/RREjJrfahKMCucqtDL7NqiQdsqwjczY7oRgwVFOsjcpu+FTnbRq0MFzWyVzJbOTs6fd+W73L4WDMbGxhpm0w2srG7D9u0nYH39ILYiCKOaNLrxbH4Xx1X7tkXbyc0DGxtr2NhYw3S6DqKAyQRgc++qjm/XdQhdVBq1wrNTK3W1s1Z4QnTgLiSPHQuqPGAq5wDBrhMUz/P2Zn03JMwloTLyfdbaaaExZdQETI+HfqNCgc+rUAtAZMGfz6zn6Qu7tatShpR1Bc9lzm76frV0wgbrUT7R42shCZQhuqIqP1Gh0bb8hDfiFSdACuSTTmvZfJTPaDZkzmTGfxsEtBowDACC7Mty6UEeYw7m+qboTiv7byj6ISIvCuZA4M70ZZxLHXUpsrd2KZG49BIJPQwhyP2gTYOVbSuZT2RGt2a8VqhBCGqUmKCJSqLJJI9t083Qto0oh+bMrRsCjt6yGQXOJGC4Tc4ueqKsWS+tjkYo9AtMn427jD9Lqflg6wqmzsSIada+oOkFx95Ci1XUDp3byH/K1KV6FdxKGzqc7su1zYvdK2UbYbJ/51JZlneLaMzi9Vov+6//7Re9FW5TPn/xbMgE1V6O65m9oY1gWfDEz+MKoH9eFHkR2rOdNWGWGtkII68fN9C+qySpwO2IuB/fgrFNLmnZNUwHvAkMainhwFFobWdtvMeO8xlMxLkYw2oTsRxODxm3dPYrdAgs7kRNEwwTHfsFIQmcAMDI46VXHMlziFp+JyRtIUgblbFCljQuRrGrBOXRiLSmsMJVUaHrOjTWlcyuCRViTPnKeCEgRf0jGJdaV35mnE2ACyPIMjMCQmYMjGKuRLSi3ZwjfKao0aa/koDWdlFpUd7LWaMHVsj0c80LlgnPYMeoIjj6byplpXoLN9hSgeYQlX+6fn3+X8ukJUGzzQqjWpRtFUat0isz9V21HrVMyn6HeK5IhbvsUkhE6aywFQZT3ek8BgszpNZuoJhH2g0WR1GGtSmPtrX3jclPcW+y0WqlzC4J5G2M8KgKN0r3aqrg3qKdTTGdbcRvrUDJKehZbfzBZb1d12LWSVkrk1Vs376rNz5bAohicLjM6+iZVw/SLzPMZlO0sylmQZSQKyuRjkwJPIn3ErcdWiKA5EhHw4ju4BNMVlSZEUDBzgsyYymurAEdOqKYl9C1bdqnKL4XaxKb4y4BIVilFAEUy2XuXRFSCl1IR4tI54eu/QE6q3M3OBolAuxQtw8LqYVg6Y6aJfdbh0tNgPXCpJZtrxLxNDhtF0TZVTZ+31rPCFOHRpVNAqPBOTgeMQXoQUnTbURYKzRq2wrrZTJ+uD7QOkzb9WxntrZm4bihAIQOs9bWA6w0DaYA0HXgRuaT8rJoVImmPFIcZxMoCBDFngYLYiCdx7TBzlIwIZ2z6HIApIbRsCj/t2M7Qgg4tP8QDu0/BGZGixmoIzTNiuDTNZhM9HcbeTcVMuUMpwYLGnLN3Uw4YmHTT8jCHSD5AXdJi6kWTAAlg66CWk/4RLJE6h12Kmjm6JnRqhnyIXEvaFp89d9e5FbKArDmKQUEI/hZHGsWTjL1GR+LmhbBC0iKU7+v82LVT6x2qXH/1rR6tfrSwnVpNk9PwCwWq36ThV5PCIkyMYQ5w2hd6bxb3eGAxW9I4PQCrvL0aq0pv8tlF4Jnx0U0MKa665wvQ/umuHC8c1pE/d3055YwX9El1jFnsq8SgrqCUdcbM8tIytyHnAkIAdRJtMBmZYLJZILpupzbDHYsiKISR4hc12Uhc2VlAkLAobV9qW+34vUnypyWAiYnAS1F3WSOrjcisMPQR2Wem8iga6AWGSvEQE4t/DpsZ10p5ELHVuqwlrUkDAQSDTFQuMgm/Lus4Igf5zlYrJk6k5Kgs+u6FAaLvEbgTAJMxX28wNG77A4ImhaKd8alyeJo79fzQllRvxduW9s3DmdD14As+Pj2pe+jAiIxUnqm0gid9kymfF+W1fl0Y43UPFqnFea7WV/w7dr+nqGMT7qKJSKRBdjSRVVx9O20a8X2W8LfpGXLbjzfx6WVV9vZzrrkxqnlWJrXzdqiLoaWm91nexZpIJ0ByyqYDHZuSYTa4fsnj3uItKOcf1151MZYfrVv265FaFsEatC2QsvaNvKCjSoJCKGNlqmZuAnq+Hdth8lK04taTYqToUmZjqA8khKy0Br8ObNIh9Ie3ERFu86FKEwhumWqO2XbiWASzBzT+xhVlrD8r1Xm2xMKRbvkYGOVjtWEVHVBJVC0Ls4fwqHIt32BFL08Q6BrbKjsoW+SUcLsYSUOuv6y4Gv5o9bQ0oK3of5Zzto9nLU9w7rUMlEaMxVcybyTfTyOP4ky37rTJuumHlOKfGJaP4mHEpdaIMh6aDO/hsQDqyedeLQhXimjMkoIDGggrCAed00TcHDfoXhdSo61EUKTjAIiVIYoYE4QwhSFkfAbAEcsbLazaXH2w4bRnc2mOHRoP5owQdtOsXJoO5qVbLa1kcA0nLUe2taQv5JPBDYVLtM5qKplNONmD4gLbjnCmT6D+hZSyecWZbEB2/aa937lV4TLIcGvZr2s5Ufle3uFSc+1c87ZKoV5Ap4976XaQa9JX7o8w6T0GLaapcSUt4gA2np7hLShdG+hx48NTj3crSXD9KMKxcoIWlpSZXQtjklQXNy+JN8aa0eNsZzNZsUZrxRptlOLZ2Y4Z9NZsnzMpi26WYuuY0zXNzDdmOHQgYOyZpsJmDm5iBVCMWTdd+6sUgp/z3Lt0VaDQ4f2oWkmWFnZBkAIt9IzOask9EXPV+T7ODMN0WMDhQKLKAVl0mjC8l3W0tu+VzdqKzApbfR3f/qz43rfqqVrCgUNNOel0rwOfdozKKC5PPZfn8/Pf1uu/1YhCYFOePTl18qah6/HYa6mt/O0oxTK8hqMZbrgdYWS1tAhtf51XRbUUpWKTxLiyvI8PQPqtDXlYe7tKbYPiua2Rnjr+vVUy7c4G/dgZfT1DGnus9yGru0Kmqbldl0HdIy2FbdXERpnybKvMJ1uRIGJMZtNsb5+EG07jflbiZbaTiPdajGdrqNto3WunaY8bTdLeOo1T/ncZzu3H45n2JiugSjIjQIsfaiRZtMYdXLtSdtOMZ1uYG3tACaTVcym69iYrKBpJghhgpWVVTTNCpqmif9O0DTBBOoRutlMGkxWJ1jdIVG/JysNmpVJ4gOZhZ7m60/6wYAKGkfZqFCLYpvoZfwNZFoKGPdyoKgPyDTR8p/pPYwRo+IiS1QP+lPwfua7eTyk9TrTM6c2zfOgnu7Y+oHyvGSNp6rR07bresoZtTIqidFiNejXvP3C41DQE61frc8oabCtw//2a7VjTjgWSq64v3TqMWZoVRsjxYtHWen2b2m3PivfO3RsoOu48GJJ+0ii8Vwck2LmpEjroqKtnbYSo6PrsLFxCOvrBzGdbogXxmyaaFvXzTCdbmA220jKsmITSeN1wwmftFUJ5ggjjDDCCCOMMMIII4wwwgjHDraez9sII4wwwggjjDDCCCOMMMIIxxxGYXOEEUYYYYQRRhhhhBFGGGGETYdR2BxhhBFGGGGEEUYYYYQRRhhh02EUNkcYYYQRRhhhhBFGGGGEEUbYdBiFzRFGGGGEEUYYYYQRRhhhhBE2HUZhc4QRRhhhhBFGGGGEEUYYYYRNh1HYHGGEEUYYYYQRRhhhhBFGGGHTYRQ2RxhhhBFGGGGEEUYYYYQRRth0GIXNEUYYYYQRRhhhhBFGGGGEETYdRmFzhBFGGGGEEUYYYYQRRhhhhE2HUdgcYYQRRhhhhBFGGGGEEUYYYdNhFDZHGGGEEUYYYYQRRhhhhBFG2HQYhc0RRhhhhBFGGGGEEUYYYYQRNh1GYXOEEUYYYYQRRhhhhBFGGGGETYdR2BxhhBFGGGGEEUYYYYQRRhhh02EUNkcYYYQRRhhhhBFGGGGEEUbYdBiFzRFGGGGEEUYYYYQRRhhhhBE2HUZhc4QRRhhhhBFGGGGEEUYYYYRNh1HYHGGEEUYYYYQRRhhhhBFGGGHTYRQ2RxhhhBFGGGGEEUYYYYQRRth0GIXNEUYYYYQRRhhhhBFGGGGEETYdRmFzhBFGGGGEEUYYYYQRRhhhhE2HUdi8AYGInkVEXyei/UR0mkt7IBFdeqxwOxwgopsT0fuJaB8R/dYS+e9ERP8e8//4NwLHEY4MNnMeEtEOIvobItpLRG/bjDJvykBETyaiD25SWcUaJoHXENF1RPQvm1HHnLpfQERvuCHruKGBiC4kohfNSWciuv03EqcKDt/QPeUb1ebD3X++kUBEFxHR0441Hjc2OJq5cTR9eji0ZtGaHuHo4Xjic48HIKKLiejBxxqPI4EjFjZtoyNT1Eahaj8RfTkyMnfcDCSJ6Cwi+isiupaILiWiZ7r0RxHRf8a6P0xEdzFpP0REn40M8JVE9Foi2n0Ydf8UEV0Rv/9TItpm0s4londFhu0KInoFEU1i2gqA3wbwEGY+gZmvOcK2rxLRZ/yCJaL7EdG/xA34k0R0f5P2C2Ys9hPRISLqiOj0Jep7TWWjeDqAqwHsZubnxHy3JaJ3xvqvJqKXmvw/C+AiZj6RmX+/UsedieifYp9+gYi+36TdhYj+NfbpdUT0D3Y8Y557RuZjP4kw/xOL2jWnvQ+K/XuQiN5LROccQRkXxD6rbpCxraxzY8kyfyyuo+tjf9jxfSkRfTWmXUJEv3gkeFXybyOiP4ll7iNRGDxsIO/zY9mW8P0AgJsDOI2ZH7tsW2+scEPQOCJ6HBH9d+zf/yKi71vyu1u7Nb0/9v9zTJ4ziOhNRLQnrp03miL8Gr4/gO8GcCtmvjcRfTsR/T0Jjb2KiN5GRLc8nLZtBpDAbxDRNfHvpURER1lmbx3Euf47RHR57KtXRZp9gwARPS3Suv1E9LdEdKZJewERTd3Y3vYGwOECIvq3SDcujX07MenPjrRmnYguPMyy3+3w3yCiT5n0i0n2IU1/j0n7H0T0qThvryGivySis0zxtf3np2hgXzbl3oGI1sgJHzeGsTiWcEPQtQX1HfGapqPgZTYDiOgnYp8cIKHbg/1CRL8a5/GMiF7g0oiIfpGIvhLX35vJ8KG0YE8nou8ioo/H9C8R0dOXxL9G+4iIXkREl8X1cxERnWfSL4rrRvv8s67MwfVzYwWaw3PG9MF9eRFtM/keEPv6RebdA+N8td9fYNJPJaK3kPDQVxPRG2lJ+YQW0/NTSWjpgTinHu++30my710d++X9Ju1kElnpyvj3AvftoPwxBJtp2fwIM58A4CQADwZwCMC/EdFdN6HsNwD4MoSRfQSAFxPR/wBkQwHwRgDPBHAygL8B8Nem0z8E4DuY+SQAtwUwAbCUNouIHgrgeQAeBODc+P0LTZZXAbgSwC0B3APAAwD8SEy7OYDtAD59mG318NxYh8XrVAB/DeA3IW1+KYC/IaJTAICZXxwF3BPimPwGRPi7el5FccLcrpJ0DoD/YmaO+VYB/D2AfwJwCwC3goyRzV9tdxyXvwLwTgCnQhiJNxgifjlEaDkVwOmxnW82358O4G8B/CGA0wDcHkBiXA4HYllvB/B/Y33/CuAth1nGKQB+HsPtfQJkzh1OmfcB8BJIP5wE4E8A/CURNTHLnwD4JmbeDeB+AB5PRI8+HLwGYALgq5B5fBKkX95KROe6sm8Xcfua+/4cAJ9j5tlh1Hk8wVHROBIG+g0AfhrAbsjafhMR3WzRt8z8FbemvxlAB+AvTLa3A7gCMg43A/Ayk1as4fh8MTMfiM+nAPgjCJ07B8A+AK9Zpl2bDE8H8H0A7g7gbgAeCeAZR1rYnHXwPAD3AnBXAHcEcE8Av3Sk9SzA4QEAXgzgeyF05ssA/sxle4sdX2b+0g2Ayk4APwmhq/eB7Gs/Y9Ivh+yNf3q4BTPzw9z8/DAA793wKJPnIeb9fwF4KDOfDOBMAJ8H8Acm3e8/i/ZlhVcC+Jh9cSMaixsT3JC8G3AUa/pIeZnNgCigPRXCc54AwXtevV+AKNr/XyXtSQCeCOA7IHN8B4CXm/TBPZ1ECfaXEJ7nJAA/COC3iejuC/Afon2PBfDDAM6HrIGPAHi9y/Ns0+93MmUus35uVLCI51y0Ly9D2+IY/R6Af66gcLmjJ681aS+C7L23hfDeNwfwgiWbtoievxLARizzCQD+wCoVIPv9qQDuHP/9KZP2O7H8cwHcG8ATiegpsa1z5Y9BYOYj+gNwMYAHx99PBvDBSp53AvjzwyjzewF8AsD1AL4I4Hsgi5wBnGHy/RGA18ffzwbw/0xagBDLB1XKPwHA6wC8y7w7E8KwXQVZOD9u0t4E4MXm+UEArjDP/w3g4eb5NyEE4Y4ADkS89wP4pwouDwRwKYBfgBCwiwE8weW5TazjYQAuNe8fCeDTLu/nADy1Ug/FvrxgQd9PAPw7ZDNgALeP7y8EMIVM2v2QzejpAD4wUM4/AWgBrMX8d3Tpd43vybx7D4BfHcDpRwEcNO9erGM/UP83QQThawF8FsDj5uR9OoAPm+ddce58U3x+ROyT6yFC2AsqZbwaomC4CMDTXNpJcVy+PfbpxKQ9L47LPgiz9f0m7QcB/IvDiwHcslL/WQA+BeBnl8ELssldCOC6WO9z7dyqlP9JAI9x794N4OEoacAL4xyZxvHtzcXj7Q+bTOMgG8KV7t1VAO4bf58GIeLXA/gXAL9aqzPmfT6A95rnh0R8m0reC1Gu4WdA1mcbn19Y+eaeAPa5efNbAC4BsBfABwHsGMDtNgDeF+f23wN4BYA3mPS3QYTivQDeD+A8k/ZhAE83z08F8FHzfB7y+v46gF9Y0OdD6+BfATzWPD8ewFfN87cA+Hhsw1sgCq8XmfTnQpQtl0MYt0QzKzi8DMArzfOZMf/t4vMLbP9Uvq+2GYe5livl/jSAv6m8fxGACyvvl2ozhEFpAdymtpYW4LQNwK9DhMva3H0wFuzL8d0PAXir79tNGIvvBvCZOHdfAZnnT1vUrhvTH24Y3m1wbmDxml6qT1HhZXB0tOZCCH34+/j9+wCcE9MCZM/v8ZFL9MUb4HgFAH8O4Lnm+X4QGryz8n2xp0OEBbZ5IUqU/7UAjyHa93MA3mqezwOwZp6L/K7Mueunkv+BmMPnQtb7ywB8BULbXg2zr6AiE8T3T4HwxvsAfAnAM+b0w1yeEwv2Zff+XDjaFt8/DyJ0XYhyn3gg5vNX7wbwI+b5RwH8nXl+ImTPvQbAL2IOHYWh5xCecQOG/4YoFF4Sf98p9unugbKuBvBt5vkXEHl+HIb8Yf9u6DObb4doTwAA0dz6+FpGIro3RBB8LkRa/k5Ix6q7hXW7IMgE0t8+zaaDiO5PRHshE/MxAH43vg8QS+h/QBb4gwD8ZNScArII/8OU/R8Abk75/OXvAfihaI4+CyIU/i0zfy5+CwAnM/N31doMsQqeHuu+AMAfEdGdTPrLIYN8yH3n2+z7xML5EGL1F5U0Cz8F4P3M/En7kpmfDLEcv5RFK/MPEOHp4uhecHV0u/jmmP+7AHwAWTP2uQqeHnq4E9EeCDF+OUTAVPh2ANeSuEtfSXJG8Nbxm12QjeNNEMvO/wLwKqfNsVCML4uV54vIY3cAopE8GSJ4Psu5V9wbYh159UD5L4Zo6K+opH0RMjYnQQS1N1B2W3w3gIaI7hOtmT8MIbipHCJ6HhHthxDyXbHNy+D1fIgG7XYAHgqZd1UgoptDFCefNu8eC2CDmd9l8zLz82N71SrwJ0PlbjFYmsZBBJz/JqL/SURNnEvrEIEeEE3kGsRT4ofj3xA8CYDVkH47RLnyWhJXtY9FLXRtDf8hxBPkI/H5+ZXyvxOlRvxlAL4VwiSdCtHgdwO4vQnAv0Fo26+iP8feDeAOkDX68YibQo3mngcARHQigH+AeDacCfFq+McBHBatg9q+cSsiOil6brwDsjmfCmFYH2PK/R6IBvm7YzsWnaGp1QWUNO9RJC7MnyaiZ5m65rV56bU8AH6MhxtweG1+EoQx+bJ7/0YSF+33eKsMiZv4Hshe9zMQxm1o/5m7L5O4of0KgOegD0czFqdD9tFfgsztL0IsVVsRDod3WzQ35q3pw+nTGi9zNLQGEIvPr8bvP2HSbxX/7kri3vplInph5BmPBGrzblvETV4M7OnM/HWI9fApcd+4L8TaP3iefwHtezOA2xPRHaNF7gIIfbHw65G3+xARPXBBO4A676kwj8/9DQiPcQ8IbTsLwC+bNtRkAkC8/R4JsUQ+BcDvENE9B+pfxHMu2pct9GgbydGrH4bQnBrcjOS415dJjm7sMmmvBPBIIjolWgYfA5mzIDk+9gcQgfNMiDL6VgN1ACU9vyOA1vHfad1BBOxLALwwjvOniOgxKGFZmcun12GeJLpAa3IxFmvHvgfAdMny/hDA7wykfRAidGyHaNyvBfDZmPZNEKHggQBWIa5/HYCfr5RzFkRzeUej0fiKy/PzAF4TfydNSnxegWhxzo3Pd4YQull8fyGi9gSiAWEYa5ar54Hxu13m3VsB/N/4+/shgqvmtZbN0wDsgQhTSiw6AH9YqedPUNFSuzxnQ1xATorPhcYafW3NeyDa5ofFPn8uRLu0GtMvwrBmbCXm/dn4+yEQDczfVfLugmjmHuE0KHsAfFucD78P4EMx7QfhLK5xXj1/AJc/QdT0mHcfAvDkgfy/izhHATQQInXfWpshhP4TEOvs3LkQ838CwPfG3wRRMkzjHCm0TOYbglhgXgjgxCXx+hLKOf10VDRvcWz+wc4piGfA5xG1enBaNiywChxvf9hkGhfzPxWiZZ0BOKhzO47bFNGqHt+9eKDO82MZJ5h3fxTn2FPj2P1QXCenx/QLUa7hanti2t0gNPb8+KzeIndfon23Rp+uvWloXkCYCEamPa3rgzvEdILQu39fsp8XrYMXQdb6GRBm6J9jPbeEbNqXo9SEf1j7D+Jm+hKTdkfMt2w+CLKG7waxRv4hhF7/r5h+Fwgz0UCE+a+ZtME2Y8m1PPDtUyBM7emVtJ5l83DaDNlLnuzefUds+07IHnsFRBHrvz0VYnn5dvPOz91F+/LvAfi5+PsFKC1dRzMWT0JpkaPYh1vRsnk4vNvcuYH5a3rpPoXjZXD0tOZCAG826SdEXM+OY88Ql9iTIXv45wD8nyX6o2bZfFr8/lyIgvmvY/n3dfl6e3p8/yiI5W8W/wbxwGLatxrXCMeyvozSC+E+AE6ECMMXQIw0avmfu34quDywMkZvhfDpBOHdb2fS7gvgy/H3oExQqecdAH5iIG0hz4mBfblSVo22/RWAHzRzytKqW0BoSoBY4d+Pkqc6E8JndfHv75H56F9281OtlT3LJhw9h/AI3tvj/0Bc0AHhLxlCH1chR6f2A7izmcNvj/Pg9hCaux7TlpY/7N8Nbdk8C8K0LANnQxpUgydABuqrEEn/jZCOBTN/BtLYV0A2htMhLkW9CFjMfBlEg6NnAM8BcCZJYII9UbP6CxDtGSCdbw/r6u99UcP1d5AB2RXrPQWiqSmAXHAPk3Qd5zNTgGgazoyaj5cC+LFaZ7AEG/peiNn865CN4R98m4loB8Q//7Xm3fkGF9WC/C6AX2HmvbX6KnAIskG9m5k3IFaP0yDCt2+7PVz9BGaeQs5vPALCcDwHQnxq43UAopl7HeVzbYcA/CUzf4yZ1yBE+X5EdBJkPO/jxvMJAG4xMAZ+fBGf90Xc70MSNOiqaBl/JmScARGCP8nMH6m0OUDO8/4ED5xfJKInEdEnDJ53NWU/DaIpOw9CCP43gHeSO4jPAv8e+0TPLA3iFeFMyDpSuGQA/9dDCNuzTdILIS7MXx4o+6YIS9M4kqAcL0VWjD0AwP9HRPeACD16ZlahNzYRLgDwF8xsackhyBnMP2HmKTO/OZZ1WJYXksBg74bM3Q/E16dDFDs9+kxErzbr6hcg86tG1zR/Q0QvIaIvEtH1yJpqnfs1mrufZZcb3COoDMBwayxeB78GcZH/BESQfAdE2L8ytuGyWGevDZizhmp0hpn/EWKF/IuY92IIjdE97L+Y+XJmbpn5wxBG8AdikfP2xXl4PMHg8W77UdTcvwTAw3j5s28L6UYs+/4QBuvP7Xtm/hAzH2Lmg8z86xBm5Xz/PTNfC9mv/oqGA6rN25fvAbGs/U7tw6Mci6IP4vywfbKV4HB4t0VzY96aXqpPa7wMjp7WwNW9H9LmM5G9yV7KzHuY+WKI8PPwWPanzfrqzeMK/CnEOnkRxPr03vi+4HtqezoRfRPElf9JkH3jPAA/S0SPiOmHS/ueD1HWnw2h6y8E8E9EtDPi8M/MvI+Z11nOF35I2z1v/RwunwvZ83ZCzgcrH/S38T0wn94/jIg+SuKBsCfid3pMOyyec8G+bOvs0TYiehREKVCN9cHMV0Sa0kW+6WeR6QkgXjOfgwh1u2N73xDT/No4AHGn9X3xfejT87m8LWR+TSGC8QYzvw8yJ/Us/Y/HPJ+HCNN/hkwjl5I/PNzQwub3Q1wql4Gvoh6cBsx8CTM/kpnPYOb7QASbfzHpf87Md2Xm0yAL4Ry4wAAGJqaer0K0KCebvxOZ+eEx/dOQQ+0Kdwfw9djZp0IWwyviorwGElDj4XDA/eAeCqc4k/qtIRr1O0A0YB8goisgAu0tSaLvnRvLfB8zfxsznwoxs9/J9kmER0OI50UGlw8YXNSk/iAAvxnLV1fNj9CwO+AnIVqRhcDl4eo3xnefZOYHMPNpzPxQyOFoj7tCgBAkjU7o69bfBBnP97nxPIGZnzUwBsX4xrG4HbIrwpsgGsizWQJMvRrZfeBBAL7f9Nn9APwWEb0CsqjvBeAtMU3n4qVR2D8HwB9DBLnTWAJj/Kcp++4Q3/vPRSL1txBFyv0G+sjO6Xl4IZZztvn21rYgIiKIBvnmkLOaU5P8IAA/bso+GxJA6OcG8LopwOHQuHtAXNX/NY7rxyAWtQdDzojMMGdsgEGmCziMNTkEcV7+A+Qsiw0YcTXEvbdHn5n5mWZdvRgyv2p0TeHxkI3qwRAN/7laffy3RnN1Pc7bI2wAhq9gwTqIgs+zmfksZr4tZBP/N2ZuYxvOimuh1obBNTRE65n5lcx8B2a+GYRRm0DWfLU5pj8G27wAjzcaPFJEaRKXxz+GBOv51EC5h1WXgwsAvJ1LRUgNbBs9TCBuj0NRGeftyw+EzKmvxHH/GQCPIaKPp4qPfCyKPojz4+zaR1sADoeuLZob89b0sn3a42Vw9LQGru4TIHzd5ZAjCRsYoKnMfJ5ZXwv7KdL75zPzucx8K0j7L4t/NbB7+l0hnnx/F8v5LMTi+rBY9mHRPkj/v4WZL2XmGTNfCDGU3GUIfZg+G1o/R8DnXg0RaM4z/NpJ5tsq7SOJPP0XECPHzSP/9C7F8Qh4zntgeF+2UKNtDwJwL9PXPwg5ivdXy/QlZCz+kJkPxHJfjSxD+LWxEyL72L4YouefAzAhCaBq69J1V3MRzkgyX8vMT2DmW0Q5IaCUuZaRP3qFHtEfBlwxICb820DcXvcD+OYly7s3RNv5oNiws5ADtdwZIvmrledqlAGDvjXWewZEA/Qmk/YEyOQmiBD6PsiEUVz/DeK2syM+3xXRZREisV8BWYSnQILfWHeRL0EOBk8grhZ/CeCNMe1cLOdG+7LYrvMhLgXfFMu7hfl7NGRx3gIxAAjE1WIFsiH/LqIrqavjPRCL5aK+v5mrjyFnwHZw3TXgThBXgwfHPvspiEZmoRttTL8bRKO2E8IMfBnAtpj23bFtTWzb78e2b4/p3wUJiHGP2P7fQT64fCJEa/bEmLYC0eDdeQCPMyCBAx4T8fkNlC49VyIGI4DMzysRXXTieNs++zBE03MSZK7ZtG+LfXpWHOu7QJj3O8V2PiXOhafFsi+AEIvbxrK+O/b3N0HWxjMg85EiXl9DDGw1D6+Y/huQNXAKxP//kyhdtF8N4KMwLpom7TRX9lchgs8JMf0FuAm40eLIadwDILTrHmYNXwO5HgnIgWh2xjlyKZyLG4SBugTGxTO+PxWyLi6I+P0AhDlbyo02zs0vwgSxcOW/EnJWUF0M74u4Zit5P4pM1+4PCUSg6+ZHINbE3RCPkFehdLl7JiTww1mxrk8DeKZZ31+DRODbFp/vM4DDonWg5ROE1n3VjMMqJGDFT0Bo8aORtcCAMHm6L+yEaKJTGyq4bIfsKwTZiy5CGeDme1Gu58uQ6c5gm7FgLVfw+C7IfPvOgfRJxPXXIZ4N2xH3r2XaDNlD9wD4LlfurSEW9tVY5nMhypXTYvqjIbQwQGjyWwF83Hx/Icq5O7gvR9zsuL8MYok4YxPG4nSIZeDRsa9+AoZuHy9/2Hy6NnduYP6aXqpPMcDL4OhozYUx//3j97+DMmDg6yCBkk6ErK/PYE4QFAi/sR2ipH5R/K382qkQwYliP/0nYtAkLN7TbxfH47ti+u0g7pxVV1ospn3PhxxNu3ms+4kQ3vPk+PfQiPsEwj8fAHCnZdZPBZcHYoDPjem/B1nvN4vPZ0EiUwMDMkEcjxaynxJk/h2EoREVPObxnHP35QW07UTX12+BzKNTTftV/jgbYj18jfn+vZD1tiP+vQr5WNh5cdx1fr4s9qWu3UX0/M0Qi+QuCP3dixggCzJXvwBxZ57E9H1mXG4H4fea2L9XowyutVD+6OGziQRLIxsegDBDr4Vj8iFE5glzyvx+yIa5L3aETrqfhGxOByCL5F7uuw/Gb66FuDpY//BfgzBtB+K/f4S4ycX0M+OAXAFh1j6K8hyamoqvh1gut5m0e0AW23VxMN6GvGjOxWJh81JIhKmrIczNE+flde/+LE6evZAJfjOXflacmFUGaMHYeibiQriFDNkcvhD75SI3ES/CfGHzN2Of7Ye47Nm6Hgsh6vvjmL8LwN3c98+CMAHXQQI8nW3S7gTR+l0FWYj/hEhEBnB5cKzvUMT7XJP2A5C5vA+y6bwCw+dBBttcmwtxXl4bx/63YSLwQQjTr8Q5sQ+yUT8xpgWIq8m1sY8+B3H9pmXwghDb10EIZxHBEqKMYeRIwvpXXbO46Z3Z3Awa9+y4bvZBlFXPMWlnxHk2GI0W4rrfi9wc086HRDHcDzmzc/7QGkZf2Hw+cvTs9GfSd0A2lcuQIzsORaO9LcQqsh8uQiTkXNRfxfZfAnENswwgQVyaro1/L7VzG8Lo/CNk7V8B4HlLjqVfBxps4iDEiuEjgd8L4ma7D0Jf3+L673mx/mWi0Z4M2dcOxG9+HSZqMISWXxP76zMwEdHntRlz1vIAHu+F7Al2jN/t1i+7vxcs22bIGZ6aIuQ80/5rYlvuZdJ/DML8af+8GTEqaG3uxneD+7LL9wKUZzaPdiy+B0Jz92LrRKPdDLo2ODeweE3P7VPM4WVwdLTmQuRotPshNM2eXdwd5+I+iDLql/3cdrhciP76eXJMuyOEzhyMuPy0+W7hng7gcRABVV2+fwNAWHK8L3L9uR2iPPwaZP18HDnK6xkQT6x9ELryUQDfvez6qdT9QMzhcyMuL4bshddDeB17I8SQTPCjkPW/B6IYezPmC5uDPGdMH9yXY3qVtg3MAbtP/DRkzzwY59DLUZ7FvQ2Eh70mjv/fAriDSb8g9tk1cNFosZienwo5HnIglvF4h+t5kGtvDqB/I8LjIGv5IERh81D37Vz5o/anwWxGGGGEEUYYYYQRRhhhhBFGGGHT4IY+sznCCCOMMMIII4wwwggjjDDCTRBGYXOEEUYYYYQRRhhhhBFGGGGETYdR2BxhhBFGGGGEEUYYYYQRRhhh02EUNkcYYYQRRhhhhBFGGGGEEUbYdLhJCJtEdC4R8ZxLom3eBxLRpeb500T0wBsSvxFGGGGEo4GRxo0wwgg3JRhp3ggjHD9woxM2iehiItogotPd+09EwnLuNxIflst7L4o4vICI3rBZZRPRvYnoXUS0h4iuJaJ/IaKnxLQHElFHRPuJaB8RfVbTFpS5K37zrs3CcxmI43Yo1r2fiN7j0s8gojfFtl5HRG+cU9b9iejDRLQ39suHiOjbbmD8bX/r399U8r3bpE/jXNXnV9+QODo8mIhufxj5b0lEf01Elx+LdTRChpHGbU0aZ/K9ZtH6PIY0jono7e793eP7iyrfnG/aeyDmszTy1jckzgaPw56XRPRsIvpXIlonogtvINRGWAJGmrf1aB4J/CIRfYWIrieiNxPR7jlljXzdYny3LF93oxM2I3wZcq8NAICIvhlyz9uWASK6L+QOyPcBuD3kAtVnQS5QVbicmU+A3Pf0UwD+mIjutKDoHwCwDuAhRHTLTUd8PjyKmU+Ifw9xaW+H3Mt0DoCbQS6o7UEkVu+E3Ed0KuSOrRdC2nRDw+UG/xOY+VE+AzM/TNMBvBHAS03+Zy5TSSTS3+i110HucHrMN7jeEeow0jiBrUTjQET3h1yIPQjHmMZdBeB+RHSaeXcB5G6/HjDzBwy9Oy++Ptn0wVeWqZSWsD7dAHA5gBcB+NNjUPcIfRhpnsBWoXlPAvBEAN8Bua9+B4Sm9WDk624wOH74umUuhf1G/kEuLf0lAB8z714GudCUAZwb350EudD6Kshlq7+EeMktgCZ+czXkgtYfjd9OYvpTIJfH6gWuzzB1PRDmYuyIz4MhFw9vAJhCLk/9DwCPBfBvDv/nAHjHEu38IIBXzkkv8IjvrgTw2AXl/hOAX4Nc1PszLu2eyBeVvw39i8ofCbnAdQ+ADwO422GO24MH0h4S0wcv/zV57wVgz4I8PxzH7zrIJffnxPc/B7mEWMf5WZDLqLcvUW+vv5f45kLtPwCnQIjpVRGvdwK4lcl7URyXDwE4BNmIHgK56HkvgFehf5n1UDvfH+fzgTgXf/AwcJ7ArKPx7xv/h5HGVfGI745LGhfTJ7Huu8FcHl/Jd0xpHOQi+x818+hSyIX1Fy34/tzDnWMR3ysgF6/vAPDa2Kb/BvCzbh6eCeAvIPP9y4iXu9fm5WGutxcBuPCGXNPj38IxuBgjzevhEd8dlzQPwJ8DeK55vh+ANQA7K3lHvm5xO7c0X3fMEah0mhKBzwK4M4TAfBViEbNE6XUA/grAiZBN8HMAnhrTngngMwDOhmhR3ouSKD0Con0mAA8AcBDAPWuT0y42AC8A8AaTtg3AtQDubN79O0TLcP+hxQVgJ4AWwP9YZpFALND/E6LF+JY539w65rkLhDh+0qStQoj3TwBYAfBoCJHVRXVPCNG7T+zzC2Lbt8X0VwF41YJx+zpkUb4HwN1N2i/HRfUGANcA+BiABwyUszvmeS1EG3iKS/8+AF+Ic2MC2Yw+bPrp/XGc7gBZzN9ivv0kgMcv6u/DmKsXmv47LY77TsicfBvM5gQhSl+BWAcmAM4AcH0ch0kclykiUZrXzpjeY2Yhm8n9F+B8oydKW/0PI42DxwPHOY2L6c8F8Hvx9zxh85jSOAhT+M/x3cMhtPlpOHxhc9EcmwH4jTiHdgB4CYTxOgXArSKudvz/DbJXrAK4LURgeGhtXsZ3zwPwziXW2yhsHuM/jDQPHg8c5zQPohj6WfP8HXE87l4pZ+TrFrQzpm9Zvu6YIzAwuR8cB+HXIZqnv7edGRfNOoC7mO+egbhZQrRAzzRpD4EhSpU63wHgJ2qTE3OIUnz3BwB+Lf4+Ly6EbQvaeFbE55vm5HkghMDsiW1tAfzkgnJ/CcAn4u8z4zffEp+/E8BlAMjk/6BZVH8A4FddeZ/FgFBYqfs7IAzFTgA/D9FmnxzT/ii296kQgvhDsV2nD5R1Z8iCvxTCsPw1gJvHtHcjbj7xOUA2lXPi87mQjeK/Afz8Ycw729/697gF31wIo0F0afcAcJ15vgjAr5jnJwH4iHkmyOarRGlROweZ2QU43+iJ0lb/w0jjYPDYKjTubAgTcVJ8nrs+cexonDK6nwdwJwBvBvAEHIGwucQc24CxPsAIj/H5aQaf+wD4iivv5wG8ZmheHka7R2HzGP9hpHkweGwVmvc0iDLgXIhF+q9j++87UNbI192E+bob65lNQNxuHg/gyRBtl4XTkTU6CpdAFjsgC/KrLi0BET2MiD4aDynvgWh3i4PrhwGvBfB4IiKI//pbmXmRH/p1kAWwyPf+cmY+GaIV+n0A37Ug/5Mg/uZg5sshWuQLYtqZAC7jODMj2D46B8Bz4qH2PbFfzo7fLQRm/hAzH2Lmg8z865BFfX5MPgTgYmb+E2aeMvObY93fMVDWfzPzk5n5VgDuGnH4XYPn7xkcr4Us6LPitxdDNJ7nAnjlMrgbuJyZTzZ/b132QyLaSUR/SESXENH1EE3cyUTUmGy2v4s5GsflUpM+t50jbAkYadzWoXG/C2E69i5Z1rGicQqvB/BsAP8DwF8eSQFLzLGrmHnNPPs568fmTDc2vwDg5keC2wg3Whhp3taheX8K4M8gAtenITQJKPkYW9bI192E+bobrbDJzJdAzm08HBJcxsLVENP0OebdrSEaHgD4GmRB2TQAABFtg5j/XwbRqpwM4F2QAV+IVgXPj0I0uOdDiOjrFxbCfBDAR7Dkod5I5H4OwDcT0ffV8hDR/SAuBj9PRFcQ0RUQbfH/isEZvgbgrEg8FWwffRWiybOLcicz/9kyONbQRu7TT6LSd0sVwvwZiKbprgbPZzg8dzDzhwGAiB4O4L4A/hHAbx4h7kcCz4FYCu7DzLshGkegnFe2D74GcSWTTDIutzLpc9s5wvEPI40r8h/vNO5BAH7T4AUAHyGixy8s5NjQuNcD+BEA74pjdViw5Bzzc6mgeeiPzZddm09k5ocPlDXCcQgjzSvyH9c0j5k7Zn4+M58bBchPQ8bqsnkFxG9Hvu4mxtfdaIXNCE8F8F3MfMC+ZOYWwFsB/BoRnUhE5wD4aciZQMS0HyeiWxHRKZCzHQqrEJ/8qwDMiOhhEHeMZeDrAM6tRJx6HYBXAJgx8weXLOtnATyZiJ6rkQFJQtC/uZaZmTcA/BbkTEsNLoC4pdwFYuq/B2Qh74T4yH8E4n7xbCKaENH3Ari3+f6PATyTiO4To2rtIqJHENGJixpCRLcmou8golUi2k5Ez4VoFD8Us/wlgFOI6AIiaojoByCanA9VyvomInoOEd0qPp8NiWD30Zjl1RDCe15MP4mIHht/nw7gTyDuHRcAeFQkUt8IOBFiwd1DRKcCeP6C/P8PcZOJm8aPAriFSR9sZ4SvQ841LQ1EtB0y9wFgW3we4djCSOMiHOc07o4A7m7wAoBHoWI1vDHQOGb+MuRc2y8e7rcRjmSOvRXSrlOI6CyIZVXhXwBcT0Q/R0Q74j5xV8pXIwzNy0GIc2A7xD2zieN2LKLijlDCSPMiHM80j4hOJaLbxXLvAuC3Id4dXaWsY07zjhBGvm6zgG8Evrz2DwPRr+B8kiFBBt4AIS5fhSzWYPL+DuRA8pfRj1r2o5BB3QPRWL0Z2cf9gRj27T8N4g9/HYCPmzx6gPuF5t35APYvaOu9IT7ceyHm9H8G8KQaHvHdToj271Hu/faI06MqdbwKwJ/H3/eCRCXbDzno/HYA/9fk/R5I8J49EA3N2wCcGNNeDeDVA+04D2K9PBD7/B8B3MvlOR/Ap2Ld/wrg/IGyzoJsKpfF8i4D8IcAdps8T4xlXR/H/k/j+7dbHCHE+HIAp8XnTwN4wkC9vf5eYq5eaObNmRB3kv2QcwzPcHPuIpiIZKa/P4cctewjAJ64qJ0x7ZlxjPYgnkGIdVf7Naaz/zvW6/2m+IeRxm1JGufyM4YDBN3oaByOLEDQ0nMsvtsV8+2BnL36JQBfNOlnQtzyrohj/dF58xLiZvvuOfi+AH2a94Jjvf5vin8Yad6Wo3kQBdtnIWcOLwHw03P65EZH8+bgeiFGvm7T/ygiO8JRABHtgET8uiczf/5Y47MsENE/Qxbxa441Ljd1iFrVSyFE873HGp8RRrAw0rgRNhuI6FkAfoiZH3CscRlhBA8jzRvhaGHk6zLc2N1ojxd4FuT+qBs1QSKiBxDRLaK7xQWQ++D+9ljjdVMFInooEZ1Mct7kFyDnAD664LMRRjgWMNK4EY4KiOiW0S0vkFxi/xwcYXCiEUb4BsBI80Y4bBj5ujqM5xeOEojoYshk+r5ji8lScCeIK8MJAL4I4AeY+WvHFqWbNNwXwJsg503+C8D3MfOhY4vSCCOUMNK4ETYJViGuc7eBuIm9GeJmNsIINyoYad4IRwEjX1eB0Y12hBFGGGGEEUYYYYQRRhhhhE2H0Y12hBFGGGGEEUYYYYQRRhhhhE2HUdg8hkBELyCiNyzOOcINAUT0aSJ64LHGY4QRtjqMtO7YwkjrRhjhGwMjrTu2MNK6GyeMwuYNDET0eCL6VyLaT0RfI6J3E9H9jzVeAEBETES3vxHg8WQi+hQRHSS5uPgPiOjkG7peZj6PmS+KOIwbxAgjHAWMtG4pPEZaN8IIxzmMtG4pPEZaN0KCUdi8AYGIfhrA7wJ4MYCbQ+5tehWA7z2GaN2ogIieA+A3ADwXwEkAvh3AOQD+nohWjyVuI4wwwnIw0rrFMNK6EUY4/mGkdYthpHUj9OBYX/S5Vf8gC2w/gMfOyfMCAG8wz2+DXGi9F8D7AZxn0h4OiWy1D3Ih7s/E96cDeCckut+1AD6AeAnyEjhWLx6Hu6gWwJMBfNB990wAn4dcOvxK5GBTDYDfglxS/GUAz4a5BNfVszv20ePc+xMg91v9sOmnPwfwlqm+nMkAAQAASURBVNj+jwO4u8n/PEgUtn2xj77flfd/IJeIa/o94/uLATwYcgnvBoBpxOc/ADwWwL+5cp4D4B3Hem6Nf+PfjelvpHUjrRv/xr+bwt9I60ZaN/4d2d9o2bzh4L4AtuPw7hF7N4A7ALgZZOG90aT9CYBnMPOJAO4K4J/i++dALo09A6Jl+wUIEQARvYqIbqjQ8o8E8G0A7g7gcQAeGt//HwAPA3APAPfE/NDh94P00dvtS2beD+mL7zavvxdCtE+FhJV+BxGtxLQvAjgfshG8EMAbiOiWAEBEj4UQtSdBiOD/BHCNq+9vIVrKtzDzCcx8dwB/DeA2RHRnk/V/A3j9nPaMMMJNEUZaN9K6EUa4KcBI60ZaN8IRwChs3nBwGoCrmXm27AfM/KfMvI+Z1yEL6e5EdFJMngK4CxHtZubrmPnj5v0tAZzDzFNm/gBHdQ0z/wgz/8imtaiElzDzHmb+CoD3QogQIATq95j5Uma+DsBL5pRxOob76GsxXeHfmPnPmXkK4LchxOzbAYCZ38bMlzNzx8xvgWjm7h2/exqAlzLzx1jgC8x8yaLGxTF4C4QQgYjOA3AuRNs4wggjZBhp3UjrRhjhpgAjrRtp3QhHAKOwecPBNQBOJ6LJMpmJqCGilxDRF4noeogrAJAX5mMgLheXENH7iOi+8f1vAvgCgPcQ0ZeI6Hmb14S5cIX5fRDiIgEAZwL4qkmzvz1cjeE+umVM75XDzB1E63cmABDRk4joE0S0h4j2QDSE2m9nQzRkRwKvBfB4IiIATwTw1kisRhhhhAwjrRMYad0II2xtGGmdwEjrRjgsGIXNGw4+AmAN890NLDwe4lLwYIjbwLnxPQFA1OB8L8QV4x0A3hrf72Pm5zDzbQE8CsBPE9GDjhL3AwB2mudbHMa3XwNwK/N89py8HwGwDuDR9iUR7YK4bPxjrRwiCrGOy4noHAB/DDlDcBoznwzgPxH7DULMbrcE3tx7wfxRiM//+ZDxGV0tRhihDyOtExhp3QgjbG0YaZ3ASOtGOCwYhc0bCJh5L4BfBvBKIvo+ItpJRCtE9DAiemnlkxMhC/QaCEF4sSYQ0SoRPYGIToruBtcDaGPaI4no9lFLo+/bw0B1lYi2m78GwCcAPDrifHsATz2M8t4K4CeI6KwY5vrnhjLGPnohgJcT0ffE/jkX4sN/KUoi8K1E9OioLftJSF99FMAuCEG5CgCI6CkQDZjC/wfgZ4joW0ng9pGQefg6gHMjwbPwOgCvADBj5g8u1QMjjHATgpHWjbRuhBFuCjDSupHWjXBkMAqbNyAw828D+GkAvwRZNF+FaGreUcn+OgCXQCKS/RdkwVl4IoCLoyvGMxF9ziEHz/8BEm3rIwBexfmOoVcT0asXoPlpAIfM31MA/A5E8/N1iMvBGwe/7sMfA3gPgE8C+HcA7wIwwwChZOaXQg6/vwxCVP8Z0k8Pcq4NfwXgByFR0p4I4NHxLMN/QaKkfSTi+80APmTKfxuAX4McPt8H6ftTK6i8Lf57DRF93Lx/PYTIjdqvEUYYgJHWjbRuhBFuCjDSupHWjXD4oGGNRxjhBgEiehiAVzNzTeu0bBkvgITy/t+L8m42ENEOSLjuezLz57/R9Y8wwgjHB4y0boQRRrgpwEjrRjhcGC2bI2wqENEOIno4EU2I6CwAz8fhhQm/scGzAHxsJEgjjDCChZHWjTDCCDcFGGndCEcLS0XUGmGEwwCC+Ou/BeK+8f8gZxyOOyCiiyHt+b5ji8kII4xwI4SR1o0wwgg3BRhp3QhHBaMb7QgjjDDCCCOMMMIII4wwwgibDqMb7QgjjDDCCCOMMMIII4wwwgibDlte2CSi84nos0fxPccw0SOMMMIIN1oYad0II4xwU4CR1o0wwvEFx52wSUQ/T0Tvcu8+P/Duh5j5A8x8p28slkcGRHQXIvpXIrou/v0DEd3FpD+XiP6TiPYR0ZeJ6Lkm7WZE9GdEdDkR7SWiDxHRfebURUT0G0R0Tfx7abzTaSj/rxLRp4hoFqOI+fQfizhdH9twf5P2aSLab/5mRPQ3c+p6PBFdQkQHiOgdRFQLaa15XxbHeh8RfYaInjSQ74K4wTzNvHu1w2udiPbNqeseRPRvRHQw/nuPobzuu3+KdU/MuzvH93uJ6AtE9P3um8cR0X/Hdv0XEX3fnPJPJaK/jP11CRE9fhm8Rrhxw1amdQBAct/bq4jo6rgO3m/S3u3W5gYRfcqkX0xEh0z6e+bUs2m0Lpb1i0T0lUjr3kxEu12eBxPRx+N6/CoRPW5OXZtC64jojkT0V0R0FRFdS0R/R0R3MulPJqLW9ekD59S1NK0joh8ios/GMbySiF5r+4SILiKiNVNvVUggoudHOvngOXWNtG4LwlandQrz5jjJvZufIaJL3fsbkta9N9KM64noP4joe03aI4jog0S0h4iuIKI/JqITTfqpRPQWEvp9NRG90dNCV9fh0LqXRtp5ffzmF03aIlpHRPQiIros0qSLiOi8OXVtGq0zef47tvOLRHR+fD+Xv6/UtbVoHTMfV38AvgPAXgBNfL4FgIsBXOHeMYAzN6E+hoRn/ka07WQA50IOLzcAfhzAJ036zwK4JySw050g9zf9UEy7LeTup1vGb58O4GoAJwzU9QwAnwVwKwBnQe6AeuYc3C4A8DDIvUgvcGn3AXAAwLdG3J8FuX+qqZRDAL4E4EkD9ZwHuTfpOwGcALlH6c1z8HohgG+CKE7uA7mv6X4uzykAPgPgPwE8bU5ZFwL404G01djfPwVgWxybSwCsLhjTJwB4f5xHk/huAuBzcbwaAN8V+++OMf0syH1YD4v99QgABwHcbKCOP4Mc3D8BwP3j+jjvGzFnx78b7m8r07pY3xsAvBnAGXEdfOucvBcB+GXzfDGABy9Zz2bSugsiLTk7rre/AvBak34XSEj9h8V1fhqA2w3Us2m0DsC9IZe0nwpgBcCvAviM+fbJAD64ZH8dFq2LfXF6/H0C5P6+33djN0h3Y57bAfgUgMvnjetI67bm31andbHOuXMcwC9CeIVL3fsbktbdDZkvuU+kR7eMz48H8D0AdkJ4qHdDrjvRb18FuXtzN4CTIPeC/vZAPYdL6+4EYFf8fRbk3tBHx+dFtO5xsY9vC9lXfh3Axwfq2Wxa993x+2+H0OmzAJwV007GHP6+UteWonXHHIHDRlgmx0FExiROrNcAeJ9794X4+4F28caF+zOQy2n3xsHcbtKfC+BrcbL+MAxRigvqdRBB6hLIpb4hpl1i6v/f8bu7xOenAXjHYbZzAuBHARyck+f3Abx8Tvr1GGDgAHwYwNPN81MBfHQJvN6APgP2gwD+xTzviu2/ZeX7B0AuKt41UP6LAbzJPN8OIniduGS//TWA57h3rwbwI5jD9ESc9wF4wED6QyAXM5N59xUA3zMHl5MgQuW3oxQ27xr7wJb1HgC/Gn/fB8CVrqyrANx3AO8NREE1vns9gJds5rob/77xf9jCtA7CTFwPYPcSec+FXB5+G9e2ZRmwzaR1fw7gueb5fgDWAOyMz2/SdbxE+ZtO60zaqXFcTovPT8bywuZh0zqT74Q4b95l3l2ExcLmuwE8fN64jrRu6/5tZVpncBic4wBuA+C/IUqqoxE2j4jWxbz3jrTs3gPpjwbwKdeeHzHPPwrg7wa+PWJaBxHYPgXgZwfSPa37OQBvNennAVgb+Hazad2HATx1iW/n8vdbkdYdd260zLwB4J8hGhLEfz8A4IPu3fv7Xyd4HERjcxuIZufJAEBE3wMhWN8N4A4AvKvDyyGE6bYQoelJAJ4S094HIYBa/5diHn1+X6zjk4vM4US0B7LoXw5ZpLU8BOB8iManln4PCAH/wkA15wH4D/P8H/Gdfv9OInrePDwNvBtAQ0T3IaIGQsw/AdFKergAwJ8z84Fl8GLmLyIuuojX84jonbUPSS7q/TaYPiGiewO4F0TgnAePgWw2Q/PmPIgWis27T8b3IKL7x3Gz8GIAf4B+P9TcWggihALAvwL4byL6n0TUkLjQrsf6PNwRQMvMnzPvirEc4fiELU7r7gNh5F4YXbA+RUSPGcj7JAAfYOYvu/dvjK5U7yGiuw98C2wurSOU65cgGvE7xOdvj2V+ioi+RkRvmOMutqm0zsF3AriCma8x774l9vXniOj/knHrr+B1WLQuvtsLUdg9BsDvujJ/Pdb9IXLuu0T0WAAbzPwuzIeR1m1R2OK0bpk5/nIAvwC5VqQGNxiti+/WIP1/EYT/qMF3oqQ3rwTwSCI6hYhOgaz7dy+D1zK0Lr7bD+BSiPD1pjl4WVr3ZgC3j+62KxCe82/n4LUptC7yvvcCcAbJ0ahLiegVkVbb7/dgAX+PLUjrjjthM8L7kAnQ+RCi9AH37n1zvv99Zr6cma8F8DcA7hHfPw7Aa5j5P6Mw9AL9IE6kHwTw88y8j5kvBvBbAJ5ocFIidD7EdK/PD1B8mPluzDy0aBDznAwhfs8G8O8D2V4AGb/X+IToQ/56AC9k5r0D358A0QAq7AVwQhRiwcyPZOaXzMPTwD4AfwHZGNYhF/4+3S1gENFOAD8AcVcdAo+X4nZixOslzPzIgW9fDVmQfxfrayCuHj/GzN2CNlwA4HUe58PA64Nx3BDrvhfENejllbI+A3G1ey4RrRDRQyBzZGcsq4VozN4E6c83AXjGgIA+F68RjnvYqrTuVhDlyl4AZ0Jo3WuJ6M6VvE9Cn2Y8AWLxPAfAewH8HRGdPFDXZtK6dwN4GhGdS0QnQbToQFy7sV1PhDAhdwCwA3UaUMNLcTtsWmeBiG4FYQR/2rx+P6S/bxZx+18Qa8+R4FXQOvPuJEj7fxNijVH4OQgjfxaAPwLwN0R0u4jrCRCG6ycHcFkarxGOe9iStG7RHCeJ1zBh5r8caNcNSusijTkRYnX9uxqvRETfDeGR7N2aH4cYNK6Jfy2E31oGL8VtkNZFPE+EHB17feX7IVr3Nci8+SxEeH8sxE32SPA6HFp3c4hb7w9A5so9AHwLxFJuvz8Zi/n7LUfrjldh8/0A7h+1KWcw8+ch5uv7xXd3xXwNmLU0HYQMLCBMz1dN2iXm9+nI/t02/az4+30AzieiW0D8sd8C4DuI6FzIxPrEso0DgEgUXw3gdUR0M5tGRM+GMGCPYOZ1l7YDQmg/ysy/PqeK/RBfe4XdAPbPEbbmwdMg1szzIH30vwG8k4jOdPkeDeBazN8wPF6K22DgHgAgot+EjPvjTBt+BKK1+siCb8+GbByv2wy8iChAiO5PMPPMpzPzFHKh8CMgc/E5AN4K0eCBJHjASyEa1dWI2/9H9YPrR9RfIxw3sFVp3SEAUwAvYuYNZn4fhJF6iM1EEmjsFhD31QTM/CFmPsTMByOd2wPZ4GuwmbTuTyFnaS6CaPnfG99rUI9DEMb2c8y8H8JkPnxJvBS3I6F1mnYGxCX/Vcz8Z/qemb/EzF9m5o6ZPwXgVyBM0abhFeu5DGJFeLN598+RkV9n5tcC+BByn7wQwOsrVutNxWuE4wK2Kq0bnONEtAuy1//Y0MffCFrHzFNmfjeAhxLR/3Q4fjtE4f0DztL2NsgxoRNjPV+EHD1YBi/Fbe7aZYF/h9DVFzq8qrQOYuz4Nsj5yu3xu3+Kxo5NwSvi5mmdWqVfzsxfY+arAfw2KvR/Hn9/tHjdWOF4FTY/AlnoT4dsXGDm6yH++E8HcPmSm5eHr0EmqMKtze+rIczROS79slj/FyAE7scBvJ+Z90GI39MhZ2UWWdZqECAacyV8IKIfBvA8AA9iZh+1bBuAd0ScnrGg7E8DsO4Yd8ewS9YiuDuAv4kMVsfMfwvpy/u5fIushz28iOi2EDe1zw19QEQvhJx1eEicBwoPAvD9JJHUroj4/BYRvcIV8SQAH2bmLy3A626qIYxwN9T7bDfEneItsd6PxfeXUoxMxsyfZOYHMPNpzPxQiOb/X2K+e0Dm0L/G/vwYxMWlFqXxcwAmRHQH8+5oxnKEGxdsVVpXcwmvwQUA3h4Ft3nAqLunA5tI6+J6fD4zn8vMt4rlXBb/AGnXskLsZtI6RIb8PQD+mpl/bVFTML+/lqV1NZhAzmQtU/eDAPy4odFnA3grEf1c5buR1m1t2Kq0bt4cvwPEavmBmPZ2ALeMec8dKO+GpHXF2iWib4GcDf9hZv5Hl/fuAP6QmQ9E+vxqDCvWDpvWLcBrHq27O4C3MPOlzP8/e38abVl2nQWi3+r23qe5fUQ2kalUKpWyWluSjcEtNgYZzKBoTI/B8AooF6+gYPAefb3iAfWqxitwGSgevIJRBeUymMINWLhs8JOxCxvLnSRbspWpXspMRWZGZETc5jS7Wc37Mddca+1zb0SmMlM4FXnWGDHi3nvO2Xufvddee37z++Y3gw0h/BOQwdFFzq8v21oXQrgFSjq+0PX/XHxfjLtvrQuvgMLRF/MPlPF6FsB/Wfztf4x/+6fF374e5wvJf0Px+/8TwHfFn78JtJC8BTQJvgvjQvLvAvAvQZmc14LkkH+s2NY/A5le/KH4+9+Mv/+5F/id3gWi3RUIsPxd0ELbxNe/JR7fmy/4rAExmv8K0Yjmefb1n4MK0h8AZf5+GXd2LTOgLNE/A/DfxJ/ZJe4Pg26OR0CL4LtAC/Sbis8/CMDiNs6MxfveGs/Z14J0+t+FO7uW/SUAH8PFZkT7IFaE//0USG6xt/G+j4AW0zsdF2c//zRokfyTuI1rWTwH5X6/PM6jB/j9oAWtifPs/w7gUwDq+NrXgR6C74i/vxMkU/nG2xzbPwexLTNkV78vWNey7b9z1/duXOsMqJ78/wF6YH81KGtbrhkTUBb/GzY++1B8fxXvoT8Hqrc+us2+Xs617hAUXIh47n4JY0OO/zTey4/E8/ovQKzGRft5Ode6XVCy6u/d5rPfBODe+POb4nH/1du89wWvdfH93xKviYhz5f8EJQgAWoN/YzyHOr53CeCN8fUjjNfKJ0Gyt9u5qG/Xurv4H+7Ote62czzeE+Vr3wyK+ZhJ/bytdXEd+CbQOmtAirQewJfG198Wz/vvvc3nfyxem0n89/cB/IfbvPcFr3UgEPZtIIAoQMZFT/OcwPOvdX8VVNJ1b9zWHwKtOfsXvPdlW+vi638dRC7cE4//J5CNH+8Y31+wr7tqrfsVP4AXfeCknQ98Y8S//Z74t28r/vb1eIGLUvz9L4IWpotcyw7iTXIdtGD814iuZfH1b4vvf238/bfE339N8Z5fBvAtt/lOvxu00C3iPn4IwJcUr38KlIVbFP/+v/G1r4v7Wm28/rXx9a8FySl4WwIk37gZ//33GDty/TCAv1z8/k/i9st/f6TY1l8HuXidgRa7P7Tx3f4SyOTjou+djjP+/gfitpag1gKHxWt/GcAPF78HUF1j+Z3/8m328+PYcEUE8JVxP+dc0S44B+8E8D6QXOL9AN5ZvDY6vxvbeRiFG238298EtS5YxP08uvGZPwkKxs9ApgT/tzucg0NQkmEZz9sf+JW+P7f/Xr5/uAvXuvj6W0FsxhJk0f87Nl7//aAHv7jgcx+Mn7sB4EcB/Kri9c/nWvdFoOTUKh7bn73ge/21eN6ug2qNDorXPi9rHSjhF+J2ytcfiq//LVDguAStJ38dgLnDOXjBax2A/xcoo7+M//9DZGfIy6Dg6wyUOPhpAO+6w5z4NMZzdrvWvYr+4S5d6za+4+hYN17b/F6ft7UOwJtBiim+N38OxRoM8gPxGK8nv1y8/joQwXEj7uvfAHhD8fqLWutAAPHfxG0uQETGX+bvgedf6xpQHefTIID7fhTusvg8rXXxdQMC3ceg+fZ3kcmi54vv7+q1ji/edmzHdmzHdmzHdmzHdmzHdmzHdmzHyza+UGs2t2M7tmM7tmM7tmM7tmM7tmM7tuMVPLZgczu2Yzu2Yzu2Yzu2Yzu2Yzu2Yzte9rEFm9uxHduxHduxHduxHduxHduxHdvxso8t2NyO7diO7diO7diO7diO7diO7diOl33oF/tBIcTWWWg7tmM7zo0Qwu16gH1BDiHkF8BaF3D71muvpHHRcT7fsX++vxtf3pdrHy/n9vi7f77Owed7+5/r2Dx3v5LH9fz7DsG/Ek7ayzq2sd12bMd2XDReSmz3osHmdmzHdmzHq2HM5/sIwcP7O/fvvp2zN/f9FuJiIckL6wt+8eBtCiHIYtw7fmFzJ8+3oed/D29qo2f15vfm38vvJYSEEAJSKkip0s9CCAgh499l/JuMf8/vkUICQkJKmT7D7wEAAQGkbdFrB/v34vDoCpbLE5ye3oh/L7eR9wkASqrRNpTSEBAICAjB0z4hIOJ2+G/l9eVjyv9UPsa4bR+vUfk9AEBKAe+jTXxx/cg6fjz/ytf5+HmfyWq+2K/3Ph0n/eyK61Ra1Pt8PUOA8/bc62meCIGjoys4ObmOp576CFarM6zXZ+i6FbpuBefshfNnZ+cIX/Zl3wilTJonfP3K88LX6ZlnPoUPfvDHR9+9vN53GuNe7Z/7KD8//lm+pPt2O7ZjO7bj1TS2YHM7tmM7tuMOo2lmCXQAF4PD2wGuFzouev/tgtkSYOa/EaBgIBM3kH/E7Y9HFOxN/o7h3D7KY+RjKwFL+b5NoKm1gTE1tK6glIZSClJqaG2glIExFZQy0FpDKUOfURpSaSilIYWE0oYAYASnShVADhJSKWitIbWCqTRe8+aH8MYvfyOefPxJXHviGpRWxT8JXRnoSkMIAW0UTF1BStqergyqSZW+g3ceUkk6bk1ACACUpt+99WWvvAiUAGU0jNGojYEUAkIA3UAgrNIaQuTzP6kqnLUtnPeotBpdl85aur4hICBAMSCWErWmx7hWBDqtc+cAq/UOIQCDcxichbM+gs4A+ADvA5x1MWHhEeLf7GDhnYd3Hs45eP6cD5BK4k1vfxTrvsd7vutH8cRHP4Fbx8/i5o2ruP7cU2jbxYXz7fDwPvy2b/tdaGYNvAtwjuYsXU9AKAmlFXSlIaXE+/7tz+Oxx96bvpOUClLIBPr5WtxuvBjAme4xvgZlYiOC3C3Y3I7t2I7teGFjCza3Yzu2YzueZzC7NfrbbZnMz12FtslKjRimc4OPQ6bP0H79OXaSjjuM3nfueBHObyd9l4uPYBNkXgRES5BpTE0gUypIpWF0lcCjUgZGV9ARcBLokPE1fQ5gSqkTS8nHLaWE1JLAqpZQRuPo/iN459GtOjouXwBoPt8+EHiMQK38vsET8GLWN/gALzxggSA8hKR9G6GhK3qUusHC+7wRN0RmEAFGaSgpEUKADwGDc6g07VcKgSGCLhv/NxF88fl1wafjs8GjkhJSCDjvoeLPQgDOjxMEPoSLgabLCQMhAKkknHWj8yDiNjNTm8/P0PV45up1vPkND+P173g9bly9AQiBrlthtT7DMHRwbjg3dwjkIgFN73zal5QScB4hAki6ruq2c/elMpe3G4m1jskXEaKoNt0nd7o/t2M7tmM7tqMcrxKw+WIfSK+Gh0mZrc3B7ugd8YF+0cP1PPPxYs8Z1w39So1f6f1vxyt5kGxvzGZsBrqbbOCdgtHN955nZyQyqBx/Jm/XAyBmhxkp4Dw7GQqQcu57RQanZCNfaBB9O6C5CTKNqSBlBo7McDKLSe9t0t+kUIm1UkpBCgWpVJTaCmK+IqvJ65WUEkoT28XMJQDU0xpDR4BHSAGpJKQSEbQKCEmspoqgj85J8f2YzZISUuVzVV5j5zy8H6CMgq5M/uxtzhdfI/6d2UoRBBpjYJ2D9x5OCCgp4cv9MWCWxGQPIFCqgAQ6N6+LDwHOM/OaZbMlKObvLJWE8xn8Ka0gpIAQdEz8nHDeQQiBs5tnWHYd3vTON+CJx5/AzasVlstjtO0S6/UCfb+Gtf3GfPFjlXdxnkfXSdK1uh1zuSmlLq/NJrN7u/G8MlxcfI8DSPfbdmzHdmzHdtx5vArApngJ2c/P/XNlEPkfK/M5rhHKNUCptoV+OSer07pCVU1QVQ12dy/h6Oj+YptcV5WlSswoJCZBqlQ7I6WCdxZdt4KQCpWpE1NR1zVkDOb6lgMPT5/xLgU/i8UtODfE70D7rKoJlFKwdoD3rgiOPZyzqY7p5PgarBtGrJBzw6jOKUkMUxBGssO2XcI7l9grCsR8Zpcuql2K2+JtpPP6OcgpXxo4345X2ti85y9adzZr6fiezaMMYOVYFnvBNmmOCrqPCpB5J5nreHvnWc8Xsm7dri4zA8y6kMaac+ylMRW0rtL7tK4JaEpd1HTG86MktNGZYZMSQo7PA61HBB4hBLTRmB/M0S5bOOegDQFWpYjFZOColEI9qaGMTrLSBG5CSOCV5bUM0Lwn+akyGaQG52Gdh6krVEbDM6vox7WRzDRa7zAVVToWgIDjtKqw6nu4CO6cJyaS6kWZcQ1wwkMWhvI+BCB+Bx8CpBDpGJz3GJyDsy6xmuPrfB5U0XcWiQmWUsKjmI+CakyfuX4Tb3n4NXjki1+HbtXh0upB9H2Lk5PrSfY69O1tpdwhBEr1bdw7QogoF37hz+GcvFEjhv2Onykk8uXf7jS2rOZ2bMd2bMcLH68CsPn5HS+nlO5zHUl2hA1zisI8oQxsN49tHBQqNM0ck8lOkqplQw8JZVRmD2LwobRK+5QqB3lKUT1UPa1haoPpzhSmMdBawVqH9WJdHLcgFiJl7j1kZC2qSYXZ7iwFgba3JBOLMrBu1cH2FqY2sL1N7+P3rhdrrBdrwOdMPtUfOQQf0Lc9ht7Cx1olay28cxhsj65bYRg62KFDP3QYin/W9rC2T/tzzgIhwAeXzu9IDuk9AsIIWJdmGwxYUw3VK3j8x0yivKLGRrLmhYxNdqVUD/C9ld87rvkrP7MJBMuasdH8uyDp8UKTH3cCm+ePwW+8Pq7JZJBZmRpKm/Q3Zi/rqoGpalTVBMbUUR5L0ldmJNP5KpnKIqkGkByTWTFag/JnuRYzrVGSAKsyGqbSEJE5q6c1dGUSyByBzbgGKa2S1BPWwfuLWTM+RbanJJc2ClpKOEFAkWsspzXVgiohURuD3tp0XX0I0EphVtdw3sNGoGljnWQ6N5LWeSUltMxyYsdzqzguGRnSIdZyIm5HKblxXS/+Pum5Elll4QOUVgR6Q8DieIFF1+LhN78WTzz2JLz16PsHcfPm01guTygRICS6fp3WQJ5n3jHrvnmvjPfL7/98yGbvVM88OqDt2I7t2I7teFFjCzZvM17JAfUdQSb98ZxDIWV6SxlTdoAUQhF469aYTndJxlYAzcQwbDxwRwDWBwgJypw7TwFZrGny3mMWZlDzBlqTiQdl6JFAqoxshXdZQmUqDTtY2N5CGQUb659SsBTZUh3ZBTKu8LCDg5QklaO/5yBeSIEwBFibgZ9QVCckhISQFGxqbeC9g7VDOt8y1pERq+pQqrtC8ADXSkVZHIEBiSAzEAgRFFBwGOvNPCCUgBDEpr4coPNzCco+13qo2/39lXzPvJTBbpkXSWnp9Tufv4tktXT9M/tYAs0Lz+8GGAzwoyC5DOLLfV0EeO90jPnYxrWeF5mhEJOZGcrS7If/VpkG2lSoqgbT6S6aZo6qqiKwJIaRAYVSClKx22tkqJSEUhKQBciMgK+UvkopgIIBq5oKpiYDIBX3oYxCNakIbEbwWU9qktWanAzjpJaOx5iAJgCpFUQEfkLmuk+huHY0gr64Vvn4nbRSMIrAp4z1lVpJOB+SbFUC6WclJbRS0N5DS4l2GOAEGQQBBCArrVEpBaM17au49rwP6xwB1hDSdwqKk28RrPsASAElAoY+O8jmpIhAUBLeufx7EJAxMdAtW7T9gPv393H0wBEAYOgu4eD6fQCA9ZqUKhACw9DFOVXMNU8z2TtPzzWek5KTCPk6l4PmpBypXcrXno/RvN24Hav5qk20bcd2bMd2vMTxqgObd8qOvtIfJBfJZTdB5qb9fil1JXLGgySyBJy0JpkbAAxDi2FooZUptkHugKOgdIOhOXeckj5nBzvKUHsfoCsF0xi4wUKoeM5DgKoMhKCAI/gATs2HmNkPfcDQDQn8joJzJaEB2IGkZEpRgMiukS4yjj5Kx6RWkD7AF0EtlISIQSW1PTCoqnEAw5Jc5yyUUnAOQPBQSiEECSk3zV1UYjWllPBewTkbz0UhR5OKtiMFfMjtES5iul7oeLEswOeDObgbxh3dXJ8nCN1kGTlRVP6d5w0xludbUJQ1fnm7YwC46dJZyuCBsbNmVdUwpkHXrVJCpTxe2n9mW713aS6XIJMBZimVZdayaWaYzw8wm+1gsjuF1ooSO8jzjAGjEARelCIW07t4rlRea1jRILWCKtYgHnlbQB2dZLtVh+neDErRukPgk5JpbOoDRCdUJaECgIqMfYCYPLM+JcXomBSCJDfWkekQck4ghABYvscVvKD6SgCQkb20vN4IARc8XAiAp2254ntJIVAbPWIe/cZcEgXzznWeJTAdvId3papivH4CgKp0rD/1cY0tajklzSspA0UNUiTFCADcPFvgwaMj3P+6+7A+W6FdzbC3dwnODlBKY7U6i+yuwmy6h+nuFG5waX3Pzxc6ifxd5QVJzs2R2tIU4PJzdYp9PtksbfPORlvbsR3bsR3bcfF41YFN4GKZ2Ct53A5kAjgnmS3ftxl4UoBB/7PDI8u7pKTMtbUWPjhoWSUzjlIqy/VSJbtajhLkeOvglYIyCn3bQSqBqqkS28DW+ohZdiFEyp6HEGAHnQJI2w9kv29dYkFZxuUtAcvQ57pKFMEYty3g4+Nzyq/z35SS4FtCawpYyB3TIgRD8tt47uj9FCg5FxnX4OGDh5QVHNeP8nn3+Vxy/VVZ7ykEMc8yiBg8iQQ4n6+/4+3GJpO2HS9u0Hkseyl+bm0PsvQ1M5xjoJm3XdYJp89vAE2+v5Uih1eSobJDqxoDkI2hlMbrX/9OvONrvxzzgzme/cyz+PEf+gEsFrcAsDSV5vEmO2pMjaaZoWlmqOvpSDJrTI26nmIym2K2O8VkdxpZQxkTSD611yi/R6qd1AraaEgl4B2xcKxIcNYBIURzH67NzKZIIRCzyXXhUkqqm5xUmE8nuHH1BjGNPiA4qjrUkQ3k8+xcTu5IKRGYTQvkmOocUhmB9z7Jc6WW8fzkek5m/zZloPRavp4MKBkU0poQkgQ2rYPeQwoBiJDqCyWyMyxfJ26NIovEIG97sFmmX6pD6OSPZapCEEscXDnn+HpFVlNKQCICU4nTG6dYX+nw4IP34qmPPoXpzgSz2T66bk1SamWwVArr9QLNZI577z1E2w944iNP4ulPPYP7X3cfqklFlyOdRwLOckPue9F4KUzmuVEA9/P7ydd4Czq3Yzu2Yzte2HhVgc3nezhcJHf7lRwvBGQC46beZaN0ApT58yTRzGBTawOpdHSKNAjwcG7AMPQwpkFqbq5j/7MCaKbAgwMDJUcPaCEIXElFD+6htzA1yU+VUlC1wdBbSCmSdMtZBzsQ2FSamExTE+PpBpse8N45kqyGAO8C2qFFNangBod21UZgGoEsEOW5BAzLfngMZLmPHKSIYE/FwCsyLUrDORcz+xJaV5CSWUoCvwQ4JeAzO0rzKLY6iG6OKjo7CiGADZYzJwMkgncQSmQQ/hKltS8WeCqlsbNziL29y/jsZz8Ka8+3Mii3+0q5d17OcRFL/GIBJ//M/29K/y5ylOX7WikNrQyquoExTUp63CnILvcphMBb3/o1+IY/8Otg6gohBFx68BK6VYefeM+7kymW9y4x8FoZ1M0M0+kuptMdNPUMzWSOyWyKZtbA1NSPspk1qCdUox13CDu41JsRIGCSXo/Hpis9Yjf5WO1goSTd30FR0gbAaP3J5zCk/pemMimhJaXE2XK1cR2QwJh3BBppTfGjbbIhkYvHHnyAh4dwAkIEhNhqhUAumQuJ6LLKYI2/E7VMCTBSQstxG48QWc7eWkCE0fEBGYgGhCi5jT0ppYSOLLhHBpoBIapi41oZskx3M8mRRlz7LhplfaqQAsLnBEGIr0kl0a97nKzWONqZo5k1aJcdZrtztO1uquXl51XTzDCvG8zrBj/47z+Ed3/f/4Rv+3N/FQ++8TUpiekjE+ufZz0Z31djs6qXbRTgvdwv1+hvx3Zsx3Zsx53Hqwps3m5cxHT+SgfNUjK4vD3IvFAyW9RijiW0BGK4LjA7zEbjH6UhwKDJw9kBOgaBwQdIUzRQj5l7HiEAIhRGHZFl4Noc7wKqioIs21vIJvdQgwYqJYlxGGySrwEGQI9urWAqQ8A1Gf0QaCQjjpCOxUW3xb4lQOSsIxt9KTEMPbwLkZ3l75WD39Xpilid8lwLASkUlDKQcoigc0ggnt/DzCMDw5JBTiyvzwZGMqjECDjnRoxWcsOlA4SSgngM4V+ytDZfrxf++Xe964/gj/61PwYpBP7Eb/nduHbtiZe07y/Ukc/ZeQbldufzIoB/EdC8nVxWCBEdoxvU9RRV1eS+k8jsHkI4FxBnyW525dzbu4yv/V1fi2Y+gRAC050pVmcrPPzWh/ELP3OIYejSNqpqgvn8AHt7lzHbm2Eyn8A0BlVtYGqqhzSVpvuFDVx8iEwgKRASUI6mYjJk2brSZAokCuBC//skoaXvxHLaQmFRmAgR46lQT2tM5hNyh401iCEEXNrbxfH8GN2qSwwkgxlVAL/yfk7v0wpaSQztgCDz2iOEQIiGZKYyECHAVAZW2LSNpJxQEkIg1VdqpdANAxBBJq0x9I8kyuP5k+SwYfx3F9lOGQqHW2Rg6kNOWFhH66CCymsVkM+TI6XFCAT72wBTZJYzCEBIlczZOjug1ruYH+zg7NYCzZSYcJJcm7gGOmLHK5I5a0OO5NPdGXR0BPaxJtZ7n1q20HFQjWZ5Hi4anyvQPCehLbdbzIu0tnt/R1n9dmzHdmzHdozHqwZsfi4B9q8U0CylnXeqyeT3bkpmZZTSMcgU8Wd+f6q9CjLK7qjJOmeTkzQt+FGrDwDnAtpNaRhGx5OB1shBUQg46+AGG3uoZVmptT6ykbmfG6ApkLEefdsheEBIwA5k4tGvOwglUdUGdrCpJtNUOjrPOvTrnhhOIWCa3LrFWZeO2VQafaVJpuv86Htsfi8+VyEESEFSshBCkiMzk0mnrAySNARcdKXl82gghYLzlkC+9/BIpzkBVgadL4e09vnGJotnTI033X8/OmtxeHj/CGy+WmS659eDDBLL+X779+Pc63cCmgT2miRXNaaGkjrd3yUwEpBj2d85BpaTHw6ve/TNOLr/EACgK4P7DvawnDa4+fRNXLr0IDFOe3PM9ueY7kwiQ2igzXlQVkxSuMGP2MFSZp+ZyHw8yujRfPExeGdJLMCSVYUBQ3GekZJHSivoSme365pk7s56OJByQBuFzlpM5k1KKoUQkvs0G8/wMfKxAKB1QAoIrTCZN0kCnEx1UKxn1iE4D2U0yXwFub+K+D+AWI8dCGiCGEtOOKn4jwcDSb+xjgghYFSuS1VleQSIFWUms9IKzoe0bpSD55DzloCmIMDp476Sq691aT1M116I1KZEKqpJd7H0YdF2kFJisjOhZILRqKoK3tO5n0x2YO2AppmhUoqceXcJjM52p7h8/xGWqzXWp+ux5PeCERDOAeSctPvcJLW8rYtGmTjga5/2/YL3sB3bsR3b8eoerxqw+UofFzGZtzP+oT9lkAkhMuMRGcv8f2ZEs1GNT/JQIWOzdKGSLI+zy8MwoIntCMRmHRhvV2IEyKQag2EOGBKoXJG77EwImKaCVALOUeA19AOGjsxKht4mSS3JdUH1pNGJkkGkNhqhAvW4i/WfhIspqJWDgwnRFEhK2H6gs7ERgJlKR2aVft8Mcth8Res612hCkxRWG9jiM9yDE6k+K/Yh9TLWa+a61CAD4ESS5SK2sSAJLQNLIIB66rHrpRCfX9DJ4+rVj2NwDo0xuO++R/D44z9z4fm5SGp6N46Lvvfm7+fnTq4XTq6xnLzhORONd5p6gsl0B00zA6sVpFQkeRdq5MyplEZdT1HXE0yaHShtYt0xydq1phpIOzgM3YBHv+wNONjfxaSqUGuNWV1jXjf41KzBm77srWjmE9RNBRGNbxhIde3FcsHb1YZyAodZS34vJZjGzKt3IcvY49+FFJhG9tUMBt2qi+7PEs2sQdVQPaaK9eDBe/RtT+e+SBid3Vpgdt8RsWTOo57WuQaca8UL05xkIMZJMJcBNB+Xkmq0DieFB7vQWgcvBKABrTJIty6byyQ2MzrGAsDgHJmbxe1Zz/04x0kKD6DWGazz9hQkbPCFZJaltBjJaAGkmlNK5g1UPhCfF2z6I6UEa0xGbt5xHeeSCmdDMlxqly0Ga1FP6/QsUEZH9nWCycTBe4fJZAatFJQUaGbUDqeaVDiYTTGraywmDVbLdb6f/PlEjRBq9Dc6t2NJep6Pzw88R4Bzg80sEwwle7wd27Ed27EdL2xsweav8EgMwAUgU8hx+5IRGC2YS8qg69ifUhbANZuF8CBGzkFIBSVV7KmpqJ+dzO/3zsJ7Owp2xEaWXAjK7nJgcTvDIO8JCDpLzdWdBbq2h65MqhXyzsP2Nklf0SPWawp6HwDRA70PsG0bayizQQcHisGHFNBKTe0MvA8Yuh59BLKJvRgcGZJ4lQGzkgiOQWs2EJFSQSoNxf3gIuBjtlFr5F6ZIjPQiHVcACCFhBMOQUpqnxAZJ6755GvnHAVlUpbsaGY5BcIIdH4++3Nev/4ETlYr3Le/jysPPZyu6UXjV1p6/vkeLwRQl2x2doRV51qTxDcVIHOG6XQHVTUZybSlVDCmSvey0RUm013s7h5hvr+D6e4Uk/mE3quonQcbeymlIKSAqQ3qSY1LD17C0XwOKSUu7+wAAK7euoWqqfC6L34k97sNIQFUgBxd14v1CEifk1YmwCISyOR1iB1ledsjgOf96N4FqEfmZGeKdtkihIBqUhFjNm+gDBn7KEXMZim73QT6VW3QW4dqUhMwGgg0a6NRxbWFTcpsbxPIpGOPJQDeQwZqv8LyYF7vEniM55pZTec8tVZCgBIygkiZQKaLvYRDyH0xnfewziHEFikQdD6cL0GTgCkdtJGdZ1lKm1lVwDFwFCzRHRsW8blSSkFrYhoHJVOtuzIKbnDo1x0lzJTAEAJEIFUKmy5xgtE7ArtVrLOXUqRrJISAcw2838F0bwYd2dxm1qCqJqiaGpOqRmMCaq2xO5mgswN6e3Gig9Qkt1cTlOfoTkzniNEsGVzk5NDF+3/l90Teju3Yju14pYy7Hmy+UtmWLMnMmfI71WOWIBOCDUOIkWRmk3tBYgQ483Y4GAsMbqUikBqPAbHek2VZ3nsEzvYXhhfcUoR/N41J7o5lcOk91SV569CtOlSNQdAKIpD5z9D1yUGSZW/a0JSUWkJXGtWkwnRnAiEl2sU6Mg4euiLpbFUblM/8EN0MOeBloGmHbMKTrwHS39g4iFur0GfpMySbJXaJPm+JYfLZ7IddSpP5TzqefA25JjQEn9qkMNsphYTzDs7RtryXSVpbspwh0M8ictXcn/N2fRZfyggh4OTkOTxzcoJ79/bwmje9BgCgNQXqw9C/5H18IY3brSXn2c0MEFgt4JzFuSFEApl1PR3VYqa6a6FgqhoHB/fhvtc8iKMHjrBzuJNY+qEnIx9m7CQbdUVgp6IywTuHm0/fxDNHe9ifTvFk32PRtXjqiWexOltFB1CTDLwAugeD85jMG0gtsTpdIfhAoBRj5S4zXeW5IhltcY4i0OTkCMlZ4+upd67Ewb0HaRtch8lyT28dTFORsU8EYkIKiMDGMgHUqlGgXXY4OthDW5sElmlfdB8qTSCrntaopzW14mAmcrBknBMTWdS3V6Za1HzNBYSPCoU4jFbZYVYIyGLuuFiHyLLZEAhQGqVgI7tp4/fqrU2Alddv5z0GZ9PfeKYJIaAj8BSCQJSSQG+jtDnk+lfuEUrXmNZ+T8ia+ndWJh2frRwB19iSylRkmkQ9j0dTGSGE2E80hxVVbchkSFpMMIUQxGayxHgyb6gW2ShUBRNcRea9t3bUoobPmUiqEY8QxvMuv+fOgHOsHCreu63J3I7t2I7teFnHXQ82X2ljE2RKfgAWbFjOrpeMZ/4/1WVumPxQ/8zzTCkQH6yC2LVonB+ZjwwcGayWkiSqVfJQho89y+cAMvqomwpCytTWgACpQqUVTENGEKXhBI++7VHF1zk7zu1VTKWhDdVkcS2pMhpVkrwF1JOaWhZ4Cj76LgeftrcYumEUHDK7ohSDSdqnsy7VHTWzBi7Wd/VDm46VAKeGUgxK+fwgBbflNeaseCmFVDLAuiG5fiIw2+DgvcgB5KgfJ7VWkbIEv5wQ8DGoHNdzZlnZiwuYys+tVid4+lPP4K0PPoAv+bovwR/8v/wVvPkr3oyf/aGfxb/6V3/nRW3/C32cq18cvZaBppR0n1mXHXwZ6DSTOWazPdT1NEnhk1mX1BBSoq6nuO++1+HRdz6Ke197DzkuW09yxW6geyyx8dRaxEZnZwZ0ohuSGc960eKxn/sI9u/dh3ceq9MVnLVQmhxhrbVJZg9QexAX5drTnSkQAtaLNn13IXN95ujfBonEzCMZe/EcxagNCgBUkwo7hzvQlcbQDZjtzQAQs0r7BEk0pUxAU2oFuKwecLy+KoEq9toUQiSH6j70ea2RpJqoJhXqSQ3VZLCjDBnfsGGZiMqNqmBIN+95XbCOOkpkmXUMkd10kWmsIqD3IUDEv9XGJEMc66heMoSAoJBMhJIkVo7rNnWsgbTOwQUfe3dGk53gU4/StDZYVmzkJAHXqbKTrRC0Jk1nEwzxurnBomuphEFKMgkqBCCwztH3jgm/alIjhADjTJI6V01FLU2kRD0jsMnnJ82ZuEGjFHYv7UJrg6Fv0/Uh5Ycq6tzzZzcB521ltAWTyUZa3rlzQHOznpPVCMDnt4RhO7ZjO7bjbhlbsPkfcSRZGbOZGz0yAYz+3zT6yZ+N5hNRbicjS3khyBS5frOUwJUgSAqVf04mJNm8h2Wq2uiRBIudFhEDTykze+qtQ+/I8IMZSqVUUVcZ0HcUAHKNTz1rciAvqaed0opA42ChDBn/EE7LAb9QZOThfYATLrKmQ5KDeQ5qlQSkSCxm/CKpvYEymvp4Konp3gzWWqxWp8X5kumf93zdAgCVgt0ENJ0FJNJ1ZqMmDcAJm1rQSI8ROwloCFGAdkEmItYOqe62ZDkZdJb1nKX866UynMPQ4zO//Gn0X/kOfPFrHsSX/LX/DEIIdOsO7353BiavxnE7SSkPYozGCYBmMsfO/IBAZmpdQi1GpCL2/OjoAbz2ja/DlUcfwGx/ltyXF8dLuCEnRkxkfIIHLCxCrCX2zsG7ENuOOOjKQBlaH9YLMl+x/UCANgIyNr/RWgERQDoX7xsf4ODQRLlu3w3njL+SokEmKpPAifUJZPLP5TlTSkFpCakV9i7tERCJbJuLigiAgGE9raGi8sEX25BK0u8+99MVUqJbdVjOOwxdj/WijfXakYWN9ykDce4LahoTSwvkiFFLpmBSQjUqfSeqZ6TWTF2xJilNbU4YBDJYbIwBy2ltBDY8N7SUMEol9tN7cugWSqKuq3QszEIqKcE4yMY+oS54WOdh4dFbO2ZY43dgxYquTFrDR+oQxB6gBYhkMyMG8MF5alkVj8U7WvMH52Cdg+2HVMuplKK56BzV20awqaWkc25qfPinPoznnnoOfdujXbaY7kzxG3/TV6HSGvWkTjXM3HqJazc9ADkyqZXpfCaZc1KwjHvl8nmh+T9Eil5AhAtqMkXuK50Z8lemamo7tmM7tuOVNrZg8z/CyEDlPMjk1/n/8yxm0cakqAFLLGTxOoDEkpQAlsEj7yObLLBpx7gRvBDEyDDDyXVVMOPvJPJTnF4XXMuY/05yq5iljoxhaRxirYW2mtoqCANvfQxMInPo4u8+IPRD+p0ZHCGyFIx2Sfti1oSleheQUDGgJeDJQNi73LJhujND162LcwVIqSGlh5QagC0CGAFAQ4oQnXwlZNa4pesA6FEPRW5xImU+Ju9pjnhmmZyAMRKp/yEEfOyHSNdoXM8ZBBsyZaDzUljOT3zwE1h2XXKVXPU9BcfaoO+7F7Xdu2XwvcRjU7bO4KppZtjZOUxyWSA6rioDKRUmkznuf+B1eP07Xo/D+0hGOvQWZzfP0vastQQwHe23X5MMnedvUFHe6MfsdmaDPOqoJNCVGTl+Kq1SvWX5WSEEJWlAJlpydwa5bGH7jXpuQSZefP+UANM5h/ImFELk2tI48Xf255jtTilppQjM9esu3d9VUyWJfQhRBuqBoR1grSUQbgnQKJ3ft3O4A1NXxXoSEKxNwJhqyQXEsiUW8xSomhrNjIAt13x774Fo2iM1yf0DgyibvzOvQ3Zw8FEqrxWv1yIznN7DRlAJhShzBVQEolop1JVBL8QooVMCKVmswda72IfTJ3YRyD07gwIESGYrvYSq6Wc+LzJed0JvpGCh5xTLmxWCp37JIibj+rYn8yYLSPhkwsZDaQkdyzyEFKRiEQJVQ4CbZLQTNM0M/+7d/wp26NEPHYahxaVLD+Lrfv2XY940MJWBMTXNW21hbQ/nbATAyIBTCITAZQz5ecbrZLo/C6Yy+PLezfctwvlkStlbl0tNtmM7tmM7tuP5x6sCbG4GRc/3npdrlJJWltSheOjxe86BzMhmUh1mafoji21mkMnbFmX9ZxEslgxpqneJDqkyuvoxuEw/F1lwbz28ItCpYuZYGz2q3cz1U2NQCyAyKQTkiLEkcw/Oepc1k8qQnE+wu+OQQSXLyvh3gNhINhJK+43N2r3zgKYsPAfRJDckxoDdbpnFYSMLDsCcpZ5wq5VL50UpqrNUSgHBI7CLLKg+z3sHBR1ZhgjqQ5bA5iTC2PzHe26PQK87IPYlzCZEnHxIrrUYyzYBmaS1pYkQM50vFnR+/OPvw4ce+wSe/sTTeOy9H8bjj/8snnziMfR9RwybqdDUM/RDh7Zdfs7b/0Idm0ATGCdhQggwpsZ0uoPZbB91RcwgM2tKaezuHuGhNzyK173tdZjMG7SrFreePab5GOetlBLa0H267rMpizIq3T/OOdTTGqau0K7alGypmiqyjrEWOR6brnQCgMwkstENHSMBDmZIeZia2LBuRYxhCKQ0SP0RnU/ti0Lslwgg1o4SoC2TQwAw251i99JuOlZiIUlGLmNNpVK5R6TtB/TrHu2qxdAT0By6Hs5S31w3EEiXWmG2N0M9qbE+WyWH3gTWyrrJwSW2bnG8RDWpMNudoZrQMcGHtP64aGam2G21kmOJavG/9X40J3SUunKLEto/AJFbebg4p7TKzKjzPhkAARiZ/oQQkhkQvwYgyVJLJlUKkdaFISYCU1KSlSrI8tzUz1NJdH0hBw9RDhvnQt8NlIwQQD9Y6MrAWDJUUloh6LhuK4lu3ePWYoH79vfx6ENX8A2/4z9JyQs+lt2jXexOJpCCPAHqekrHpTS0rmBtj77nOtwopU0rHxAhaPr+5bY5KVrctKNkMMDzOc973s9LSdxtx3Zsx3a8WserAmzyKAHQ7V4HSuAZAFwMTp9vPyUDeScm8zwjKc6BzPF2ZHaQTcCUJbQX7CMCx4uktNxbk9xoC0v/4rjAgJMDRyGSJFbEjDUE5Yq9p/qjkkYMIaS6VAo8Pbwjow92lpQF0xkC9cm0gyNHzOgSmT8/DugTsI5BXTOrIZWkz0kBQGGI9ZtJwutzvRLvkwPb4AMkqP4NoOC68TP0fVvUYOpo/68gERDCGOQ7WOhIAzs7UAY8UJ2pKDL/dAwqMqciOl/mQIjcbZHaIdCxiuxWHL83s5xxi/Q+Bp0CiW1O0rPP0b32ox/9Ofylb/1WLFcnKbvvnMPOzgF+/a//Vnz97/16PPj6K7j53DH+92//317wdr/QRindvuj80bnJCZ6mnmI234cxDYypU8JI6wqHh/fhkbe9AVcevQKlFVZnK1z/7HPoli3dR0UypWqqaHwjkrSzrM3UlSbXzxAgNTFIbB6kjRpJW4n9yyBASpmAgLceTrgobSV3VXpf/F5cO60VmhkxTQw6nStdZX1MKpHsXimZACb/o/Yb1GdxfjBPpjFusBh6kukqo5MTLUt/14sWq7NVksYLITD0A7p1D9tbLI8X6NZd+jy3PFmermD7gSSZswbNfALTGMAHWOvQLtvETDrr0Lc9hnbA/GBO7qqx9pCTXxAC3pFDrVISujIJiJTfUwox+ntiGkdA0cfX2PQmy2KZARRCQBXrKpsM+ciQMmOK6IZtvSPTJD7fEcQyiBxcNkMKcV4oTUlJrVT6HP/svEdlNHpglHwQguTNQkkIJdHHc9lMGwQf0K7aeD8IICYqbG/xsx98HN/01b8Kj9xzD77tj35zYgndRm2/8x7XPnMNVdXQ71EqbkwFrQy6bhVron3MncTnZBAIIqTnWH62j/tw8nNRa5OeryHEEoRYX33RGoDPYf38Qht1PY3PnvNOvOUaWP5+u3G71/nvdT3BdLoLrQwG22O9OkXXtxd+5qLxfMdxO3KBXyvvzRc6Xnyy4e6dM9uxHc83XhVg83NdGPP7P/d9nQeHYwB4EYvJ4O6FGP9wv0febgkyk9lQ+d1H22EAygyYjMY1BTtaHCNAoCUEYiy8cyRpqkwy3lFSEZiRElJQoHlRCxQ6FhEBV4jMrYrsjEwmJ8SyaAB9Ykzob5EBtAWTxMHa4CBkPr+mMpjuTtGveyxPl+jXPcn7fIiSvNgDMAJKW9SGkaunii0OSMrYTCeQUqHrVuTwqQKCV6PvxqxLOndSQoMY19yXszj0WH9Jc0YVbEh0pwWDllx/mYJTWCgQQ+OFB1J9Zs68MyDmayghEQTVeTJgfKGg0zmH07ObkFLi9/+hP4/gPb7nn/8P+JN/5b/D7/39vwnTigCBevhh3P83Lz3v9u6WMQ5aMwBVymA+38d0uouqmkS5rMZ0uofL9z6A177ltbj0IJ2nbtXh+Nlbqa2GL5hA7vEooxogFHOsnpCD6tD1QGSZhqgeaGYN5M4EA0tdQ66dtIMDZJaZq4ZaWHCiK4QAUcfkTZSLOusomRRBhg8kb1eGQGcIAb7t6RhDgBC5/QrXOG8uTc2kwWxvhunuNAFlbTS6VYcQgSivEc45rBdrrE/X6NsugnGRwLC3HkM3YHWyTOdAKgVrHZ751NOoJhUm8wmuP7mg/r02m++YylDP3n5I0mKAvl/f9mgXa7jBwVqH2e4UzuZkUGmsg2iulGo7YxsUZhe5RlHHmkyOO0tTHCbcuGYzIEAEgd5mJ2NmGn0IqLQeMaS8IoUQRgkpH1lRLYkl7a2FEMiuw4qMgIzW6RgZFIvIiHItqVYK7dDTcVpHrati3f3l/T1oRcZKUlNbEzo/xBorRS1kpJL45C9+Ej9xMMdXvvGLYJRKx0vLcmSFncN7P/wRvOef/xCaZgatTKpZt0MPrStoU6HrVikZCMQenMUzjM9JmQjYBJwMNOm1jXs8PqNHQHOTHb2Lxhvf+KsBAKvVGdr1GZarU1ibncdLhRaAC88DXyd6OSc1+OcHrjyKd7zzG1BPayxOFvDeQkqNnf0drM7WeN/7/i2effbTaXsj1/4NBRg/z8r4rTINtKlS/MR/T0ovIVIcRfFL7GVceGOkNmTOJlMoakPF90b2yaB7X5PaiXu2Fu3PrLPJ1KqqmkwySEo+8rpRAl9rB/R9i+Bd7JFOvdSVVKlbAKueuKba2h5dt4IxDep6Cjt0GGyfjtHaIRENSmmSozuHtlueA92lwq28xlJpaK3Rdeu0vfQZwcoAlz9TbJPKki5uJ1Teg+Xo+/UovsrTLhQ/jx35XTzf/BmOsQBgGDoMQ5fisou2uU0+vPzjVQE2gc9tQryYycOMZLmIJXYQuONCmYGlKha7sVS2/HwGj3LEiPLDkxdebo8CILVIyUAyAxywYcIFN5hAbiECxHYIPt+gFBBTu4UMFMfnkZu5MyDl4Nk0kf1zHiI2Xmf5rNI6AkRymhRKQkfmQwiRjEJSdtIVYCwGxX3bRSAqIIKEqZklikYl0QhFAxjig0UIkZgikv7Sot5MG4TgkwmIV5vGOFRLyaYv1pIBi5YVRjLWyPoEABISvnhIlgsioFE61saLEB/KKl7fMUvOlv3MYLL0UIi43aKmswSd/JDbnPevfe1b8Pa3fwP+7b/9n9F11HbmkS95HR54wwP4oX/9v+CRtz8C5z3+0T/6fjzx2BP4rf/Fb8X9B/u3vUfuhkGy2Ryk5r/TuauqBrPZHiYTamdiTIW6nuLKg4/gyhuu4OjKEZletQPaVYtu1cF7j6Ell2JT6QSytCbAREBIQ2pqI1Q1NakLjIKUsbbQKFSTCt4FMmcx+T6k1hN0T7BqwA0WPspGqZ0JrTEsZ3SDhWh7VLWBqTNTyusJzxddGezfU2PoLbpVRw6uLrcMYqDJ7GrdVJjsTtHMGkoyxfVo0tQ4PVlgdbqEdwGm0VBKoW87LI6XyYGXA6yqNlQT3g9YL9ZYHi+TCU0CQqD9zvdmqJoqJZBsb9Gv+8TK7l3eRz2taX20UZ0Q+wL3bU/S5GULKSXqaQ0b1yA+D0KQdD9EYGeMhpJyJGPl4YoET2DQkuYQmf/4kOsBmWFM9yib94DYz5JB5SGlJIVJcXxVlOMOzmWm1GTHXACo1FjezPsYzW+lAFRUGyoEhsHCWg84jyrWyg79kFhzpSX6bqDa2ijD5Tn4iz/2i7h59Sbe/vYvwv37+9BREj44hydu3MDP/+QH8bM//NPo+xaTyRzWsJO3w6B7qKFLyVKlTAxKXUqaJtfuAmTS/cBrt0/106Q+iXPHOVoXwd4GahRss1JlU0J/twzv6dkxm+1iPt/Dbtfi9PQ5LJYnZHwHnJMh03/n613575zYlFLiK7/yt2Fv7zJ+8ie/H9evPxlBQUw2KIV7730YX/NrvxnPXP00fu7nfvjcc4m8KsamiXlfFItUdQOlzOiaSymhlaGWb3EdU1InIElgMyf3adseTma3fq1raF0ldVlymleKwCbGpS0lMFdKo6oaGGNSyzelFUxtclkDkPoQ8+BadKlojW9mDVwsVdCVBnxAt+5GCZbpzhT1tMatZ2/B9hbTnQm1i+uHVINuuyEl7vi2F0qm+mxtFKm94nNCxdp5E2uu+3VPJU8pXhW5Vt+Na6F5muS17OK5x7GeUirtn7chpUxGdwCSF0C36nB64xQhqlSCpzgrGT9qif17D2AqjdObZ3j8Fz+Aj3zkZ7Bcnp5TBPL82kxWjebXxjU+RyRs3Ac5+ZB7blM86M9t907jha435fFw5wNSo+Wk5UXu3XcaTJq8lPGqAZsvddwuo8KLEgNNBoPla/TzGGSWffSkKtjM2Ccz3Vyx9x5P1AQ+E2uaAexYIqugtYaUenQznWMuQyn7kqmGkx8MZTAkFTX5zgvx+AbxzsfaMAKXcYdpv8mEJAYhadGwLrkJOutSlk9ICT/QwiVDDhKkEnA29/T0LkAqNigJqdk4nWcyi+D6Kl4M03cyKtZWhrSYcX2cqfSoBcJkNiXjkgjk8nzwKG8lNhHizJpWBhYX9FoUogCcGcTwQzSxnB6AIkMi2g/9TwsWL34SXvDCkp1qs4KS4K33PoFOCCAgZ1Q32c5HHnkHft9f/P345V/+SXziE78A5xw+9Uufxq/5dV+K/f17sDxe4rGnPou////+y1guTzHbm+IP/qnfhbttcMCZzUEyK1L+XNcTzGZ7aJo56nqKytTY3buM+17zIB54wwPYOdxB8B5nN89GrYDIaVnBKJPqFm1v4X2gPpNKUo20EvCK6p2bWYP1Yo16QnLW1dk6yVi10RCKZIUhhBTMJMBQBALek4lXafhj+wGiruCHAba3ML1F1VB7kBCoRy6Q3bVDALTRqI/odQacmZWVSQ7M60A9rUeS0uObp2gXawBUT6q1wupsjcUtksUO/QBvPaSObZEqCnjs4GBqg73LuxBSom97YiIHC28dTq4d4+zWAsqoOLcpkFov1lidreJ7Ha48eoWYDDaYEcScMnjXlUmJgenOdGTawyOdD4zl1iFkgMjtUUTsv5vksCGQXJ4ZTxHNfArQ6qLrK2/fh5AAIrvdYgNolj09mRUtpfzJUEhKOElrqJYSKJgWXqdV/D66KD+QlYHSWQnS9j2aWUOJAesQgoKuDIaqR7eSiWE3NbWveeqjT+Hqx69i92gXs/0ZQghY3FrgycefxOmNUwgpMZ3uwpia1s8QYKoaQ9/h9OwmlFqglwpKU13nMLRo22UK6MrnZL6fcwKPmaHymchtp9L9vsFAXNSz824abbuE1pQIllJBmwqXLz+ES5c9zk5v4vTsJoahOxcsj2MQP1LvcGLza77md6Ftl/iBH/i7KSl1dHQFk2YOHzyOj6/h6tVP4Pu/92/jG77hD+IrvuK34md/9gdz/BRBIbeHKutsea4KIWBMM2ILlZKUlNCG2EEVzQrj9efP0/E7ZJ0At7CSMU4TxF6GXJrgnY374nZomWGjmE7H5ESI5lYDmG1VipQjZtBYL9qYwNOUTBMi9f6l/sce1aQi8Nf1FOtYF7sE5PiOE/nL0yX6lsz8qFaa1Ftc1071/4VUPCYPeThHnxt6MqbjZObymFjQHO8JeLiUxIybou+vxvefEFR6VbqZbya6g8vPLiGoZtvUBvWkhtR57fHWY3W2wvG1YwzdgOnOlIwePSl1WB0jFal3mlmDz37yM7h27Qn0fTsmcspyuQ3wVbKdm9JyXjcuIqiSR0qIgDMU7euEvLBx0u2An4BA4HN4h9K+zbVKynw/KmUSS19ut/y+53oRl6+9iJLCcryqwObmhXwxDGb5mecz6KF9juWytNBpjBnN8edvx2RugszNhbZ0RtVaJ6fL8ngApH0BQEiOpmFjW+O6RgJhJO0LzkPGNigMHkMEKboxoz545b6ZEeDemrR9gaDkaH8JAEeZWr/uU91Yv+5JcstMq48POS9IteI5YMgyDjYjygthXDyUjGZBLtWGcfYNIBfMWskkG+ZM4ulNQZLauC0ZNtiKzayX4LYDKoHBctD+MsuYnYfjAicEGQIVgLM0DiIXpAAhXAKoqS1KGM8POo4i0RDnAAPPUrZ7/fqTMErhgQfegE984hcAAB9/7EPYmXwLXvOaN2F5ssBXfPlb8dVf9c04PrmGr/7mr4FWY3nx3TCYmR7/bZy5NaYmoFnPqJ5MGzSTHRzdcy8F0ntTYtTaPiZCBOCRpIacsWUpagKi1oFrNbnvpB0sFrfOAAAytiMZuYDGhA9MEYDFB3wIAaF4b6WpPpMk7j5KRsl0xzsH30fpUTdAx7652qg498I4aGD2QhHA1BUFCQxGAOql2dRVMrtZLdcpyKLzQPfq2fEC7YJkswAo0IgZb34eDr3FerEmQNxQABUcmQRVTQWpBOYHO9Sn0Wg8+dgTdP6sTZJcU1dYL9a4cfUG7nv4vvRdpZLknh3IEEjHazS0A1rZoinaNLHpEZ97H9m5TUZNBKqb5FrK8/MMqeWJEKQpCRGEUq4oB1qDc9BKQhf17v6CdWVz7S8Hs6w+BHRth+WGVM1bBxHXv8YY1NFcSYLqyAfu1SkEZrMpZnWNRUumYfODOdYxAUKsEj0nmJHp1z2CIMbVe4/F8RmxE/E7zA/mmO1N0XdDYsz3Lu3hLV/1Ftx7hSToH3zvL+PHvveHce36E/At1ZFLqWBMjb5v4dxQXINNlpkVOx7W9hGQFMxUKIHTuK8q3Z8ZUNyNgxOPzlk4N0BJjapucOnygzg4vB/Hx9fQrs8w2H4UwzjvYO0A5wZ4kROuAgGX7nkI9z74AP7pP/lvU+LVmBr/+V/8a/j0L30a9aTC4f1H+I6//mdgbY8f+7F/im/94/8VPvax9+Hs7EZkEHXxv4yJ3WxmqJRKJlJATvBuflYpRaotIdL1DSFACjUCsXStSflFPhUbarONbgACmb2iJBBL1fU4zgph1AXAewajA0lTnUczn4BVJpCU/ELI7J1j52/LPYepHtpUFKetT9exdIhKlIa2T+srgOTuTQ7mBDqVKcqipIS3HpN4HN2qS4wlg1oAyaStBGX8M13+uE4oAkzsvM37PLdGKQk4svzynvpBI4Sk4OFE43qxxnqxjuCUkqZVYyA9lVewT4CUEsfXTnDtieu4desZLBa3UFUN+lgbXJI55fznUd732LjnWW2StsPvA+Bvw3DHjYIEEuPEVRmHbw5m7Tf3tzlutw2ap1HZV4LOkBU2Fx3PyzVeVWDz+U7caFLd4fMlk1lKZhNIKZnNYiIrpdJixovlJsgsaz15myr14ytbomRte3ZCzIyo1nVcUMe1A2VWQ0qZsyWcoQEZ+rAshI5TpKCYz4E2Kt38wYfYe89HR0iVMuO8IAHEFHpP2ThnY6+6sgRTcpAT/+iR6rcgBEJsDs8N7L3zKailOsfMiHImsZpUkEqRaUgI5X0V9+VSoJ8bzof0Gp2b3BqgmTVQWmG9mGC9XMV6obgtBu5CQAsJ723qCyeFAhQxkLwP7x0ttjEHTL0Ds7yC+8EJQTUlwoc47xyoPQpn5CMz6rkWSaT95CwrM6cX5NPYpCgeh4is9PGtZ9B2Pb7oi78EP/mT3wcAuHHjs7DO4dG3vg0ffu9j+D2//Tfg733nfwsAmDcNPv7ss+e3fxeMixMEdI20Mol9ocy5ieBzl4Lm/RmWJ6tcQxtdZrn9x3RnAlNXUaJOkqV6QnLNekrGQvWUwFaIgTrXGJua5LRCcMbaFfeoztJ0z7Usjoouo4TcOx/dbQVMTbWNDA6HbkhgznuPvhuSIY5IwC863UZJrLPR8ZR77noPOwTUTQUTpaxtdLHtlm008uKEFh1vu24xtEPsA6minJ6OfegH9G0Pbx3OjhdY3FogeLrPvaXWL0qrxKYKKbE8XsLUBkcPXEK/7rE4WaQsP4Px9WKN5566jnseuodMbAY6LgZK1JeUgrGh66GMQt1U5+aFi+e7XGNS4iAmgYQQyfSLXWZTO5ToVMuf10LBuuxEy+8zSqE2GkpIdNameko2JPIx+HbBw3uZgChvp+8HtMs2rftcGy+lpDrgYgztgLUUMLXBzmyKSiloqWB0QDfQ+sZs5+Ci0ZAXmO3NsD5bwXsJUVGdPM9PpVQylmITK8H9XQt2hMHq5ddcxtd8xduxO5nAh4BZXeORe+7BlUev4Hu/47vx7LVPY7E4Rtd6BF1BCAnnhlSb5b0dJXBDcMQuOGpTRfuLLuSR2Sxb2ZTXsWTv7sYxne4AoFKQFFwLcmxv2yWMabC/fw/k4X2wdkDbLtF1KzhnUUUAOAwtnHNwjsDTMHR405u+Au//mR8fKXwOD+/H4tYZvue7vx1HRw/gd/6hP5HO7zB0+ODPvRdveMOX4YMf/DFIwcykSol0Licqn5llLMaxE7OZbGzIg+5xlmmOW/cAIE+Kop1VmbxnoMvkAe2fgKQqnL/L7TIjy9sCogLBkkJDKYlhoCTJ0MX6yii15WdDqUzgXuJskEg9lXVShAgBVI2BtQ4m9rjl2n1mCY3QCCETCgDSa/ABq7NVAjBcbsHgLkS1BX1PSoqVYKdUSlFvciYo+JlEz6Jy8PZSy70YLw0duZAD5EKdHNsF7bdve1K9GJXWdQA4u3mKp5/+FNarM/RDm2TQnEwZkzv8XDfxGMZGaptkQVl7y2sLt6iLJ2OkdCkHfVal+cFzg/ezue/bkWWbaxTXy7IJXdxbeg+Xr5Dpp+MPIm4Mm4qFtO2XWGP6qgKbm0MIgZ35AQByYDNVja5boWlmePbZzySgAOQLKxNQzPWVZQZ7k8lksFjq+1kuK0YLV34dQJblbmRdNm+KTRayzPaVDCYQmatiES6lDRlYcgaQHXGBetZAawWhJKraoJpUKThOW46N1SnYIyfK0kpfiMjsmmyiwfI0wRk1AG6gyZ9bH1BQLoRA7ylAZGdO7yirls5FAWx1ZTCREkM3JNkfHQdGdQAqysCGbkhmF+l4476cdSkQYhfNKjI8TT/BernAer2AHXq4aFKRakJUoIWHQSUHg96nn/nAJCQgkRa0spCe5hHJIJLkOFBigBlNIXiBYpY074P6c8a+nhhn7UZ1nUR1AgAWyxMcP3sLb/91b8dv+Oi34s1f/sX4kq9/Oy7v7uDNv+ZN+Mf//d/Bov3jmDcNPvPcc1kKeLcNzlAU14oXYaUUmskcdT0hwxJNrOZkEqW0TYWhG1IQrSuDelonSWkzayB1bjliapPaCtneJpdUbx2CIWdlbvlhagMZz/eobYnIABDIAXtaN1S+RmWLFWfJFKeeUE3odG+K6d4UbnAEcNcdhrZPGV4bTXFIQpm3WU0q6gcqqJ8mJ6rY8GiIbBUHBBSkiNTnllUNwYf0Xj4HXDvetz3WpwSEpaRtJuY2kPOzdwM63UJpid39OQU5AmimDXaPdklGG0G1kAInz51CSIHLD16GECYpMSixRQ/+Zs61Tza1cEKxX17zlMjSVR7M+pO7a35wc11kKc3l0gDqx+lIVov4/JHcsxOwwSepbAgBfcGo2iibTdMYFCAO3ZDYAh5CSlSTCi7kllA8t4Ik9sTFz07mE8ybGrUmaXZvLYzWcD7+HGV6FEROsT4jFUjdVOgFyWvltE5z3FlHTHKlKbnAjLLNPZ7f/LbX457dXXTWolIK1nvsTSZ41696B8SfFfjAj34Azz31HK4/+1kcH1/DYnELbbtE369HhiB0H9D5cdw/2QM2DJAyyyD5PmLFyYXLwgVS6rthcD9ga/vMUnKiLD5LlNKYTHYgpcLO/AD90KHv11ivF+n8KWUh0MB5h75fY+/wECcfuj7a15X7H8Ujb389/vif/hv4ol/1Rfgn/93/OLoPTk6u48qVR1N8opWG0gZaGcjEbqqUIOAazE1zGE4Acl3mqLVNweSNTBaLNb4sZ+LELMdbXBs6Blg+geAU43GJkvdQ0WiImMsMKrx3GIYOfd/CDDWqpoZJMQq3XMo9wZ3NCRGlKSHknMPi1iIy/fQdbDeQC/esQbtsY6mQivuktcvUhjwDhEC7bNF3Q2ZNFak3fDSK5P7k5TpRjhKQcQ1lPq/iXIeBzY4E/Bnvx9spBxk4ZfDnBjJ/o5ZMCkM/4OTGTdy8+QyOj6/h+PhZ7O5ewny+j76nko31epHmSTYKy9+H2tGVsmgNJfWIkS1BX0n4DEM/6mJA75Ew0diM56MxNSaTObSuo2lRXsPPTm/ibHErnb8S8N1uXeJ2aCXZwA2h2NMjYRcpMzCmjY6+/8uZULvrwead2Mx77nkIv+7X/z7cfO4aHnz9w7j8msu4+vGrmB/M8Z53fw8+9rH3pffyBGI32DypLtZ8l9LXkqEsQWbpilbKMTbBatm25CJGk+SR/HlNNu5CjDJyY2rcp4xgaUhUylP4c82swe7hDiDJ5VVXOrnIMlBJ50dJaE01qPE0jCS2AkBwAUGIKPWgWorJznQkH+xWHRa3FrDWoooLedVUCZAOse2DCoF6UUYnW+88HaNRcFaljJyU8ftV41YnuqLef1Q0T/JggMAoB+60YGfgqUVs8u4C1hFEzHZ2UdcTrFYLrFanccHw8aYnFpLOh043Ptvyl/UiQkoIT7WVJdAsgamQCjKMH2z00HDpuuVFJoNOxN6f8A4IcmQkxHMrj/iAsj2e+thn8U2//evwJX/3z6MxJtaXAW95+xvQNDP01uJH3vs+/I0/8adQ1xP8hb/zN/ENb3nrbe+5L8TB9Rajv8VgoqomqCoyo6hMA60NqmoCY0hm2S5bqq1sKjKhiUNH4Hjy3Elydq4LeXkJSIWSUDEIINWCxj1vvAeX7z/CrK5x2q7x3FPPwcZekT7O782HM89xofIawioBER2nORHDrKo2ZJZVT2rM/CyBv/ViPcpal98LAJylliPznSmEEOh6ule6dZcYNSklpKZj4ZrRft1jvWjRt11y0+VgjGuEhBBR0kV1giwNCxFElJJkSIGrn3g6sZztqqN1ojY4mh9iKKTNQQScPneKZj7B/uV9SCnQx5ZJQgg455PEVkoJG+9/FZ2tg6AgSah8f0oQm8j9MrXMpjykItHorU2MJp07Lm3INW+es+MFSwpslCm4DdCvyajIRkaYAX6cwDmAisHJ6mSVEoCp3Y3IQaaMCQk3WLgdh9mkQa01tJKYNw312IzOuTzHTGNg+wp92xGgrQ2G+NxoTANX5R6pAKlb6oolkMRUm8rgaD5HOwzxPApoqWC9Q60N3vL61+LG1Rt4zRtfg6F7G24+cxPXn7yO5555Bicnz2G1OsFqdYb1+hSr1RmGoSvWXYcg6F7elMpLQQ7e50bIgdvdOG7efDo5aStFzw0yvVIkkx06KG1gTDS/c0BlalQVOaD2fYv1+izVzWrQPF2dLTGf74/29bpHvgT/9Nv/IT7wgffgd/++PwsfHFCc1/n8AKvV6TmgybWXucwoP0vZZTTHNCaWFfEaqqE1ObeyWWB2+S9c+/keTmUt/Hwt289lx20gyt4VATl6vmZQUpYXcd9sHgziQyBWLLmlxmc/O/LbwaFbd3DWpfZXADGRumpQTap0HwOAUCoZA0EK9G1PyhBHZnSQAlVFPhWmrjD0lIjitSKBSSEwtEPsRx7XopSAv5h1437l8WSmNacEn7wccc03/y210dpg9ErGkuKcEnyRCkPHVmK3blxD2y6xWp3g9PRGdPddY2/vnlTPbe2QXNY3vkA67spMqGNDnD8kX86foXra7KgNUbRSAjH0UkpMp3swpooMu94gljJG6Loe3jsYU+HS5Qcxme7i5s2rSRGQz0tpCFq4a0MgwRFl4IMbYQVOFgeRibJSWjta8sT5RMKLHXc92LzTODp6AI+8/RG8653vws7ujBbEr3oLPvbzH8PDD78Nn/jEBwAUEosCKJ4bIktrNzMfZQuTi+o008K1YWYwbm1SMKiQKdvCWQrK9Klzx1mC1XSoyDdOAr3Ix6k1BbqT+QQ7hzskYy0GB4BsAsT3JYFQnQLOEHJwxJ8TBbDRlcZkZ5paGPDfq6bCbH+Gxa0FIESs+yLznhACRJQQprrQWFsgJJLszvYDBakxa8ffgTOBDDSZBUmLWpGlE1JAQSGwnA4+L86x3+F6sSZAqhV29w/QNDMsFrfQdav44GHH3SyP9UUN0KYESAiSvPL13pRwjFzT4sOOgKUgi3QRigWE/y5ifWquz6XFNi84vE/eFx/fZ37pM/C/LWDRrvFTP/lRvP8978cbv/yN+E9++9fjwQffiMFR25hbN59GVU+wPF6cvze+wEdifJGl7ACgoymJMTWqqoaODxKtKWvJstZ6WlPAHhn5btVhebJM/S6ZuQux3YaIslltNOppjWZaY36wg9n+DNpoPPzFD+PS3i6sc5hUFeZNg1ld49MffwpDRxJM7z200aPetCw5coMjgITIiIoQs9tZWSAE0C7bxN5xoqme1KgnNaY7E6wXbWJeOchShpJRpjGYzidwwaNfUa3Q0PUY2h5cG81rRbvs0LckDe5WHfqWfmeJLc/ZKrpXd6su9eKUSiWVAZsdsRKCk0z1pMbe/g6EFFidrpJkFKD2MfODeRHQEfAduoEcbB319wygzDr1+yTDJK5zBWgtS7VjDuidRWXob1oIaCWhBLUV8SEA3sPGa1NpjW4YEthMjEcEnVJRcoh7ZHKtpS4y2JbluIJluhK11uidw+JshUW8L+tJlaR2HJC2qzbVsDJjMd+fwdRVmgsh5CBHKYlu1aGdT7B3sIP92QxSAMuuS2utcNFMSGtMdickWYt1VAbI4DJeJ3bI9M7DS0nrazy/pjbJREkIgfd/+jM4nM3w8OVLGJzDtKqivI6uw5XXX8GV119Bu3wjblx9Ds999gZObtzEYnGC1eoEi7NbOFvcQrteoB/aBIrOJaZlrosqWa07JbDvhsGyV+dofqQaYqkjQHPYmR9gGPrEKFJyy8PoiuIRXaFtz6KLucR0WuGJJx7DO77s6/H44z8Tn3kCs/0ZPvF/fgDDQIY3p6c3EOU1UErji7/0K/GT/+4HkvSxBJokpeWaR0DApzo5bmOSk/ebLKSMz+YBxlSjmGlTulgyVgQIqMSIY6fyvcxe8jM+qU1G/a/5mPk9OsVd9DtJZhECfHDo1m1aj3z0jlBKQWqKe8hEkFQkQzfEVjL0rFGGSiK4g0C36pKSgM4TGf9wYrRvqQ2Uil0HvA/RsTwCxwKIBx/gfFZ9lcMXjGOZ2OJR3v/jGCf+c5nV3Ny2DTaBc+8tpFAIoJrt5fIE5oTWrb5vsVqd4vj4OoaBEpwUlzlU1QQ9AGMadH41Oha6Fib1x2YpNrWJsfFnLnkKaT4QiPNJGdZMdjCLyZWmmUEKBR9cuo/K+eW9Rd9nZ18AdE94D2NqzOcHODu7ic1RMuIAzl0nAFDSgI2CeE5tgk8lA7zSVC8cW+0IjNVcL3W8qsHmzZtPo1t36Nc9bnVUC1RPaxzcd4AbN66eYx7LLPJoAUJ5YXWqK+BsBb9/c3tKqULDX7ANRfaGndBoG7RYBfjEKJb1C2lh26g9KJlS2uZGUXvct1IKk9kck/kE2ijUsyY5MqaecoOFl1yjpdLfmaVQWqW2C1QPdjEN713A/GCanMLsqNZMJXtvO9iUwZISo5oLUZjRcGsV21uSisU6M3otG6DoKgevVIdFgY0yKraCINlta9tUwyQlS1Gpvs1KGx1B6eHQt12sZyMJx0F9D9aLJc4Wt0bfmRJo/LApzTiyGZAQAgjMRI9BZ25hcr5+UAhBWwwBAj6xPCEEksHFTB7b+bOUKGe65NilTEjU1QQ3rz+Lzlr8hx/+GXzv//wP0fUtbG/xm3/b1+H1b38U18/O8BW/+ovxZ/7qt2O+v4PXvumhC6/33TaEkGgi0KQ+aTq2YBjL3bnmb74/i210AoGuntxSbTTiAYhRZzdAbx0GT8zO6XOnOL1xioP7DnHl0St44OgQ677HWduiHQZMqwqzusbePfuwn71B1vNDdoMtEynM3uesdey/uuGUbAcHKUM0DSIDCNWrBDpNU0EZugfaZZfq/Li+tGoqqgtcrGHqCp4ZwggAtaF7bnWywupslRjToetJvuW4RRLVZFN7FgnvA7p1H9coWmeqWDtZRct+ZVRiBCAEjq8f4/Rkgck8gp6BalpWsa1MPa1jLXZV1KkOmO/vYDJvUO3OKHnlPMlJZTQLkzqtf8H5WHOdSxrY/RVSUraeWUrvEzhklpP6YEYwGf/Gpkpcq1kGZda7UWsVChhiAKkUtJSw3uP4+AyL40Vc+7KLr3ceq7M1gcZlm+YgB4HH106wd3kXpq4SAGVDD1onF1gvWqzPVjCPPIDdSYMQ4nMAEgMsgOhUrDV2DncoeQiQwkRwAEuKE+ccMNAzw0Z3ZqUU0PD5cqke9f79fTTGwPkALzxWfU9tb2Ig7p2D0hqTeYPXvPkhXHn0AZzeOMXNZ27i5NoxFicLrFYnWC5PsVjcwmp5grZbou+7VGdftpECkIOvV8EIIcAO8X5WOgXYAW0Kaq2zEH2bmM8yZlFSQVbE/jX1DF23Rj+0ODu7iaHt8eVf/k34+Z//N/De41/8029PRi3/8vv+burnKaXCV33V78DNZ57DYnkMY5rRMaYkgMjxB6AB76A1KUKozcnY4Z1Hlhcy6zgGjbxtls+yWzzHffT6OIlPSckYcwgqOyqf1/wMp/370X6kJtZfVwYhBMx2Z2iXXXovwK7lBCgJOKskcxWK4q/l8YJUBEJASpMAppAi9RtnZ3CuA10eL8DKDe/oHmd5Oxt6cdJLCL4fkI7du5DW2hI8Xjy3zrOWzBbCn49r+Pt770axJMfAXOrG9dnD0MOYiuZdu8StW8+g79ejpEDbrrCzcwhre9RVk+acMTWVvlQNlNJpjnANZv6OEuRYPB4Ui9cwpkbTzDCZ7MKYCs5ZtO2SkjGmSeCyLG0pzxmX4nBcb4cOy2VRQnfBOuRT0qXsSFDWlhYkBcYmhAxAnaM6dsdeI6GoN30Z8muvarB5/foTePznfhlusFidreGsw32vuw9Pf+IqnnzisRH7WC5UJRsIIVJmimslSxaTJK3j3pilPCP/XYz60zE7muj6mF5m4GmMpgbDmxOv2P747+UiyRPcQwqVGJrpziT1m+Pv4ayLhhsMZEXKqiXWVWapB0tO6cZTKQhIGbHCFZOALJkKlcYl3klIFRvVd5TdCUMYBfKb0geWqHB2PD38itYfbHxCfavY8dHDuRCZlCEtyAwGlNHJUbNkl4lVyQxNw4xqBM3NbAptqlQ7xMfgPfV9Ej4e721cDWlf/EDLjZsJNCiSw6bLPK4N4RYnCXRCICiVF+0YOJbOs9mlTxfzU+Pk9DqOV0sc3n+U5sXVqx/Dc2en2DncwYd//nG85hu/Cr/nD3wTQgj4yNWnL7zX7obBmb4AoK4b1M2MGExdUfaTZS3eJSfMoRtw9ZNX8cynn8X+5T3M9ucpc5tYq2Lh15VOpgsCSLLRvhtwfP0YD735IVjvcda2OL52jG7V4dKDl3DP/h4Odue49fQtCCOScb+QAkqqNN9pHeC6Z6R7gs0dCBvFEgFVyL/iMbMhhWeWqq4iS1ZH4xydTHSWp6sEBJkBVIbamkAKrE9XWJws4AYXGc0+35dKABBJkg9QnebxtRMsbp1hdbbGMLTpgey9o/lrFAwzsNMa1YRqnnb35ljtUwY7OWiHInMfWjjrk3P16nSNobdYndW4/5H7ABiI+N2JHbYIlYaMJk/A+ZINmimUcHCC1AUuAs1Uy8mJL+tIvYFYkxkChKE5t9mvs6wDLdlQ7p/JQPNsuUK7bBG8T6y0s1TPtTxZ4OzWglxh41rM2+HvcXbzDPv3HFCijmu0kAFpCLFNgyITo3Xfw8TrVWmF3jqSB0ug1gaS62SHsr0MBaAqBkAaOrXiYfY9SODG2QKHszmsc7hndzftX0mBz968me4nWpsRg+Xck3n/8h72L++hXXZYHJ/h5PoJzm4tsD6jOsP1mgDoer1A36/R9y2GvkUfGT7nzvfGu1sNgmaz3XhvxLrGOO9U6iMZsFqeoKob6jsZ5a3eZ0MernGu6gkm011473B68hw+8P4fxVvf9rX4xm/8T/FT/+H7cZrYmoCuW0EIif39e/C1X/u74b3F+z/wIzC6AoKnchR1B2MUZwvzHTky4qG5kdeSFOjLcS9WHixzDMGn2KkkG8jAJftklGs49zQ/xzKFcO6YAIxiKTbw4aS6HVyKjUII1Oc3ymepFzjJRifzCa1bZ+v0XbquQzWpsuFcb6M/ACX4WSrLsRLHBX1LxEt5num1uKLxehcNftgMDsjGZqVJY75GGLX84usmBHVPYHddAIDLNYd+A2RmNs+n56yLLr7eW6xWHdp2icXZLQxDD+5/yozjen2G2WwPxtQIwePg4F4qg6kaSKloW24AdwTIx+oT06mkgg8eUshYf9kkkMrxP7cPcm6g+MpUMTGt0uf5u3BbnrKFUNetMAwt+q5F162SzLuc+4mNDRIIHkJlc0hmLul9my1Nxt9LQkEKB68UpCPVAJt7cc/hlzpeBWCTHvgXDeccfvRHvwuPP/YoLt/zWiil8N4ffxaf/exH0cbC4fKqjBYuiOQqy+wkT0Ikm+zIKhS9pqSQULFInRclgN3SzrtAOYeUGZNKwZgGddVAx2bxQoj4gKTsYFmMzNsZs7E5k6IUgczZzhzVhKQHxGhI1Lv1yEmWAxKWwPE2uFlyClKETIFlWvRNzl6F6CIrmyy9SQu9iiBXccE7PTDgA5loVLRNU2kMfcz4hWghriScJVbUOz8Cu8ERoKRG7T45aHrnsV4Qs02yPJ8WRMTTvl6u4AYyRGJXXIB6Eaook2P3RJancW2DqQ32q8s4OzFYLG5RMiJmPqE0XJE5Y+AppSKG0o8lsyyx5cwVJx/4PDM7SsfNwEKlmU+hu4OSamSdzZKkcnEqr+tyeYobV2/inofuwWSyg65b4+mnP4nv+Xv/Cs8++RRW6zOSLnuPpx5/Er/w0z+NP/BT//LC++1uGUppNBFo1tUkyWfZSAJCoG2XUWZGC7YQEsvlCS7de29yXZ3vzxOrzowjD05a6Ci/FdHJT2mJm4sFzo4XeOZTz6BqDGZ7U6jDA8zrBrrSqQH4CORFaaMnpJkSOzyEivXCcmx4VtrHJ7dQ6+ClgAoBPgbzzazGZNbAOY921WJ1ukrrByespBSplq9f9zg7XiTjIR8TQNooOCeiLAno1x3Obq4T47g8XqDv+2TwkJgC52BtDzlo9K3EetESEGoqDG2Pp5+ILsllBpmt/6N1/9D2aKIbL5szsW3+/GAOZcYBEfX4RGYwODMf2dsyEehDlClHoMnr5eByMOWspy5Gxe0dENL6IqRIYI63XQZuKq7NnbVouz5JnE1dUdDZDrj5zE2sTlcYuh6nz50md2HTVOAWLsx8dqsOi+MFZnszUkKEkMoQQiDTIG0UeufwzMkJzk6XmO9MURtNbrW1RjsMyWW3Mhp2UmHVr0bBeTIJkRLQgAo0d7lmVwiBT3/6Ko525pjVdXLvrbTC9dMzPPGxp+jzRUIwhBBbLJBRlJVIKpbD+4+we2mPFCzLFu1iTf8vOyxPl2hXa3QdOY237SIaDbXouzW6vo1Oq1RXd7eO2Wyf7tO+TU6zybFckEKm66huuweSDFTFGCX3JI7mM6bC0aUrmM338clP/iLm8wP81t/5J9Au1jg+vp7q3g6O7kU9qfHxxz+Es7MbODy8ktxuAbofsnQ2yxhL1omT0vRajMlQKIcwjoWSAqogAzgZz2McO8Vn8waYKkcIDtxaJf4BAMt749+SyoN8LpSOCeGY2EFc73VFrc2c9RjaAZN5gy72EybHblKTlLXw9Oyg3pTNrEmMabfqUj9jTsRQzOTQrWOP4r5oGaTk+J4qY8vi+RGKtQ/A6HlWAsxN5pi3S7GeTv2R2bToovPLUmUbhrQdqTQ0Aoahw8nJdfT9OnonVCPPC76mbbvE3t5lVNUE0+kOzs5u5nkeDR6T3Dmw678aXUsIgbpqkpKQEx4++JjQdSnupRZCFkKo2GvVRSAdk7fKoOvbnMzwHuuWPEDKxMj5eZxb5oF7pqdWdgHcCu9OIxlZSTJLCzKfcylVrGu1o1YuL2a8CsDmnUffr/Hpz/wSnnjysQQiedDCepHtdW5dktlMylaIkckOm/AUC1iU5jjn4IUvFofNWrxcH0B/06m4uJQXcFE+Z3lyr7BxvUG5zRACtDLY2dnHbH9O20qW/SLVaDHLUGa4PCijJwpACcPNi5nZyZn7EHIfOpbsmcpgsjON0taYQY31SUJlG/wQqA6BFx5mGqltBAWl1P5EJbmt0hpVQzumJsMu1YOGkCV2VPfFwUz8bkXmjbJ9IpstIcub+XUGnABiLYSPLWGo9QLLz/YODqGUwsnJc+MHmOesasxeOgHAJraxPPf8O+0//j3kWsJykHx7bHhB55aYy7qeQmuD2Wwfe3uXYW2H5fKU6pkWx+i6Nazt0XUUUP3ij/8i3vpVb0XXrbBeUy+8f/39/zB9l1/+8z+ZawZu8/D9Qh5pXYgIYDrdQV1P6Z6KmW2+N/n9xFb1yXwCoAznreduYO/gEN57LG6dYX6wQz0ha5HcN93gkiEEpAB8KB5mHKB7dKs21WX21qI2GqbS6FufEkOsliAmHim5E2OZdLx8b0qZXWyBXHMk1ZhlDD7AC2JH+fyw22rwIclk+Z5lcy8hBHxk17j1SWqHEZM5zjqsWwJL3OJFxjrBvu9TLVl57+RkiUPqoWgd+rbH4mRJAdmkhrMkay7bm+SAR2F9tkIza2Aag7AmKSu3TZrtz0bqCgCRzaVep9xOhiRuZASUnh0iy2X52OkjAkPIZRHC5ZYbPI/KAM96hxCQJLd5PadaUGsd1i0FlHZwMJWGMhrdqsPNp2+Q9HWxxupkSTWxsY2NEFHGXZRBAEjnCiD5Fd8DdiA1Sj2pIYXAjZun6Ns+XWfTkDlRpRRWjmqArHeo6wpu6hCWFAhRLZlPayUzOG6w8I4cj02lcXztGO/70EfxhkcfwuFsBiUlnjle4Zce+yTWp+vRMZfXJwPjkAK78tk6251hujPNNUzOp0CenYr7tk9JkeXpAsvlMdbrBRYbZRJ3ywghYLU6gTFNlAPOI9tLjrNljSvHR84h3YdarxLT0zQzhOBhLdXXaV3h3ntfC+89PvbYL6DvSfJpTIW+7/DMM5+G0RUm0x0cHt6PEAJ2dg7T+S6faXQPeYSQe5aXoIBZR8/J15CTGheBJ9pmlsvyKBP22eHVQxRMbxlvsec7ClDA4JEN0QBKdrFqjNuBJBd+KVBPKeFfT+q0j37NpkYBQz9QHWulk2KB5Y9SKUx3JpjsTtO8Pru5yMY/sX8uLDmNK0Pt4bABDBHLA/h3pVTqEz0yCirYzlK9lq9T3gafq7RmR7d0pVQkBjh2LEuNIm0Ucm/UVCoRt9t1K5yePof16hQBgeokZZ2SQrTPSBbYHvv79+DS/fdS2cTQJ7ntKN71HkY3MZlSnasVTmRB8LHrADGM/FxidYD3dtQKiBM3AEnVrc1lLN5ZrNsFhkgglWxmCTLzueGSq+j/kVQ7HoAbudOW12E898mUUkiZZLa8ba0NnBBA0Z3jxYxXAdi8mNVMUrEN99fRJy8Amix95XqAspVJabqzKZ2lOs3c+zCzUXlx5IAjF+SrVJPJAIEXW2Ma1PUEnMmrTI3uAonPJmAOIaCqJtg/PMJkTkyEG6g1h4rfsZpUKcPkIuDkIIIXETaXMHUF0xCr413MtEWZGoC0eHDBOgDq5ceLVhlIWQfEBvZSUiBiaoOhG1L9khAusi/5GlIBvE+1mbRIEKBnJ0kAUe5nkyEL9S0MyT6bgwtqYcLmJARqQxhLWKSiY6BaKIN+3aNdraGUju0rFLUusHS+Zju7EEJgsThBzvr6uPAwS0wGA0oFytptAE1ApnNYGguVjOTmgkJzpULTzDGZzGF0Fa3hPd751V+JwyuHEELg2hPXcO3Tz8L7gI9//P24evXj8fgEfuTd/wz/7oeqxM6WvTyds3B2gIs1CH6j9u9uGCGQ/Ml7h6aZpXuxqmqYQhqjtY5mBXQ9Stafh7U92lWL3aPdyKyvIQRi8oVa9XArFE5YlEmH1dkKVx68DLs7SxLHnSOaW32UtvI9KDXNwdKV1hZtSpItfkzUBB+zmypb/pfBUTmkklnmGI+N+2fWU5Kw9m2PICVMY3JwEWsF21Ub25NQFlgZTSD0mAIivs+EIHl+u2zRrTtiOEJIBhzO6ZQEIrc+DYAfigoiBNje4mPv+xhe/47XY+jIiGj3aBdSK7jBkvu0VuD+oX03QFmP2f4M/bqnGkIl0S1bTHamZIC2EUjy9+M6Uz52ITIbyQk4H8YJmZFBGcZBxUUBMSfHNu/13pL1Pxl9DAloLo+zZHaIPUonO1PsNQZK6yTdTvtX+XlBLpUmuYdbazG0AzBQffrepT301uLG1RvYOdyhZ4b3qZa4NgY+BLQDUosWboUztH00AVGQ2kNZSQDYB9gYLAVPbIyuDG49cxM/f/0E050plJap1KGe1qO1L5mTpGCWz1tM0hZmdHwKS5ZVSglRkTFdbttDpRW2t1gvqNb15Lnjc/fF3TC+6Iu+DMvlGW7evIrl4hhVTQntppnDOYvV6jSxQAikk+EgPQSPvmthraXnqB2gTR2fyQ5DrAWtqgYHB/dDa42uIymzUgZ1Reeb20NwLDWZzDGb7WG5OCaTl6KGtmQmOeEkIDFSBoGNfVRUEsV2Q8XngBzzZfAoL7zXKFmhR6Bp9DnIdG54SCljqyaqr/SOe/j6VAYkZGz1Ft3/y/inmpBpY7fuIGM5E3lHNFifEWASUsJUFapJjdk+GZ/16z6pI5TRYJOzbt0i9Z+FTMlEilvz+hOsg+A2WpwUC4WTadF+BQB1HAhhdE+W6z9tN59L2odF0LmEpzTsStsOgYB8AKy1cJ6eW8PQ4fT0OZyd3YS1A9UZx5IqY+pRC0OBAFM12Nu7hKqisrHl8SJJYdt2ma6tlBpVles4GWwOfRdrvNtoUuRIdj+04BY9KR6LijU+BmvdCGgi3hcIgWolhx5DTFKXTCb/PwaZ5bOCn8V8XRgs599DYSq6mYzj78wuyRwbsAOulApOvLTY7lUANoFSSnsRyNysyRyzgiKBRe7rpKROzq/MZiaX2Tu0MSkXMGAcVPDvdIyFdE2MjYnYNpl7+NHiRb9bl2+qsiVJObmaZoaDS0cwdUUT37Ncg/ajK02umN2QDCG0ob8N0eF1aHsIKZI0IzWG9zL1h9OxN1RiSUI0+VEZMHFPPc5oBU+Z7VwDkI9fRfMPYCzR4B59cDFg8IimKywfzNeWDUikJhML29soHyH5VNmPjWVDABVsTybzAog7OO7Haena1LMG7tRTX7e+Q1XXyYyDM2Tz3T1IqbFcHifGSSkdGwtrKBXgYCE5mxRvdKV0Kjo3piFQI3VasdldLBeH+ySRpSBhlpIFWuto0iJw5dErmO1NMd2d4cqjV5JU8cqHruAH/8X/irZdUhAf3QlpAWYXOMT+axtOjhcAky/0QXOQ6jOaegpyImRVQ+5PK6JEnu4J6ofKvbvYBIyaSbvkLigE1eXY3sI0BlXR/gQAqqaOwQG12Ti9cQolJHZnE1x5/f2AFJjVNYxSuH52OgYNQgBRls5rgK7znJSaJOqcbCmt6hk4mYrAnB0yo1ACTQJqEkNMTpHqQEPG9YvnJR9Pu26zI6KWqKRB8OTqfHbzDNbadH8LQfsauh6LW2dkshDnNxtBuAuSGxyA0Bo8gXce9aTC/j37EFLi7OwYznnMdqdo5pPM3LGE1BNrN3QDZnuzbFLmCPjI+QTGcF0rmXRw3ZVUdL3lxn1Qspp8jIl18+MMvoysaAzjM1MQ26qU2+TtuGhoM8TeePW0hlQymv9QAkBK6qXJahIASb5c9mLla8+uvd4FNLM6Mp8ackrzop7WcM7j9NYZlscLNLMGfaXpfUrBOjIxmtYVpBBY9QQ0GmPgau6nPMR1ncot+DwIgVQ35jwlRIUwCN7RPaAlTF2R6VGc41Kp6ERMSyObvQ3RnCq1nYiMvxAifXfep43ngV0+OcnpYu1cao8lZXLrvdvG009/CkdHD+CBB74o1rKepjKdqmqwv38PrO3Rd2us20VWT8QWbKEAeYOl4LkMvHnuVdUt7OwcYX//HuztHaFrW6zZwbY0L4SAMU1Muk+wWp1hsbgFZ8klevORw/JVSpZ6Wp+jqoe3merrA6uYxk60VB93PlHPI/XMLAAV3zchBAQ4eg9vL0l7iTnl9/fR7MfUMpVX2MFCx1Zlth9wdvOUzmU3YLY/AwCwUyuXApC55QRVTV0JQnxm2IESAspo1FIAqw5Efubv0vddZEM1xQeC1FNAUa0T75GkuioSjbxm8u/lCM6fT+gUyfH0vhAwDEOqc+S5QuedrinXa5IxUAc79Gi7JU5Pb2C1onPECQBuf2NMRUqMWNtZ11Ps79+D6XQXIXisTpbpGOp6Au8djK5Q1ROYlCSh581icRwBZpbv0nH3CbSH4OAsAUd+PbUsiWu09y4zqIG2w/1s+b1jFjMTDJt4YUSS0Ykq5io9p3NpFBC1iecAZ76WVK4lhSra8wHMnL6U8SoBmwzcslV1zlrlgnIem1ktZinZ4jhJaBMAzT0uZazdLOW4caNpUpRshxTq3HHR33PPJ14k+XUpZbL7T9lc71FVE1jbkcWyzLJGfs9kMsfe0WFsEBxd3zT3DRUY+gG60qmPJR+vsw5eCISY2bUDNTQ3dWxM7P2GkZiMD/eQbLUBARFcquOiAJYmfT2pk+uk0tmYiCV/LHcrQSjXgYUAuqG8SlIoDhAQcp+ovu1jHWUFqSjAH9oBy9MlujXVpbDrGGereMEahj6+fgnKHMSa0egm6kgC3MwnBP6HHj44rNdLGFujnjRpbnnvMd+bwxiDs7NjWNunRAad7wk9xGPGjIHipJnDVHXKrEkpkrwyRBDPx4oQqJ43nlM+1/ywc9ahX3fouw7H148x25uSmYPPCZaDe/exs3OYDIMAJKe3IbYKyIuijI2PC2fbu3Q0k/k5VpN7vbECge/PkTyzcIzWOroURnfVrAQYS1kpcBGpR5qo6T5aL9b45CeewoMP34/d3TlUBJsnqzWOr50AyLXOiVmV9FBy1sU6tvIBFg1zlBqtS9yKheXvyvjM6kfWlGp9AtYLCkRVZMTYPVVJMsTxEchSMqOFi70T+fssj5fUdoP7RCoJOK5jjExdx1IoDj4rVNVkJBUWQiXAxIMl+Fc/8TTuffg+7F7axfWnnybp+Cm9vn/vPqoIwplJFkKk78vsllQUePRtT9dOZzdubz1kFZUSCAhKJLMfHwETXw8+/0pKDDbet9ynM4Sx+6zKwRpfR2CcEOV55l1s/VLpVI8oFTGttmemELGvMGe7M7Od294IeJGt9AdFIFU4H8EYzc37HroXu5MJnvn0M+iL/WmjMVSxFikEzOoak4qeFau+hw8B8+kEK0mJx74bIOEpwDV6hB4S8xGVKsld2bEUkWSGujZIfgIbzCwzkuysHALJIflvqV9sTLywQZFjV3PnYLWDGyz6bgAstf1iSfXdNvq+xfXrT6ZzXddTHB3dj2HosV6foetW0LrCfOcAk+kuhqGDHbrkOsvxkWLgULT8cs6l+q+uW2G5PMFicQuXLj2IvYNDNLMpVouzFMCH4KGjEy0lXem+r+tpqs3jkcAMPMktwSwds005gV3WdfLfytirJCD4NSV1YlSTcisCJw7Ey97DQYT4GQ/vQDJanqNFUodbvwF0v/WRydSVRggisZ7czs1Z6purNamouD0QAtU5+24AfIjtmRBjFVo/+26IPY19SS+m6zQMPay1KdZNDsORLUzHXYAVqMwMM7jktSUznONE5qaz7CYLyqxlXssZMLnYO/MUy+VJits45s5dI2SSvkqpgW6Fup5ib+9yIg4oeRkwmU2hB1IocYuSAE/zOSZUyKynT+eCu03wKFvqWNtdkGiNPXs5sRFrn2100c2lU7n7QSK7IqAs1Wz5oVD8XYgCdxS92UWWxXovYi/38dzfvA9CgUloroyJsRcz7nqwuclkAkgXr5TGbp7IfIG5RjMvWuWNSMG2SqwnMxybowSvmbY2KRMjyolSZNPG72N2hGSabCJC/eQUqqpJEl0ZOCihyTmd7mL3aI9ad/QDgbSYyefMLwEUlYAeHYpMNQV2cBEMkhHOZCe3H0gAD7Tg8v652JultWUWhQNatuPmBfxcliy+V0mV7jHvqGWEqav0XXzvU3+qeNLp2GKAVE9qCElOktTcmOR6fbRwr+tpBHvrnPkuFsXV6hR1PYXS2UQkhIC+74EVyV5oleVsVY+wCqgnTbrudiBgKoTAYnGazA1oke8hpULTzKA1PVSrqkpGRJsF+ZQ1c0DMlOlK55oy7l0X+wQOw5B6O/nolvqRn/0IVicr3Pe6ezHdnaXeoR/6iV8CgOTORvU0FZQi2Y0vgz5eqLwDQn7o3E2DGixT/ZE2VZTU1Cgdp2ltKBwGhcrqB5NbEaX7Ot5PujLkUhpdkk2lYw1M4X4sRWISEQKuP3kdq9MVDu8/hKk0Pn3jFCfXTzE/IKMvxUYBGxJ2BhZDN4zWIYAAaggBVVOjmlCygpkb6z10BKMkTaJ6vK4fqJ6xyDRJTbWDHIwoKaEAWAGc3Wwx9Lnecr1Y4/jZW6lNUalYcLEHKbtKzvd3k1KC68vrSU1tk6JCI3ifEmUkEcuZcKUU9i7vYTKfJHmlcxbL0wWkkrj8msuJ4cz93WJSK14/lumHENC1PQHxKL+lz5WO0HHuxASQj6BbcAKMs95FgiY4Dxdft6BWRTpmwC1I+eGj54gPAOI2eT82AldmjgFaJ9axvQkbf4SAoiwhZ8WJZbep3peN2gisDZBNlQLI+cEuZnWNG4sF2mVL0lYlIxCn54WvydhtcA570wnmDa2D7TBACoFJXaU1re+G2JNZpqgkM70qJsQI8Jua2jaQkzNi2ymql2cZIhBVL1phOmlgK0dMsD+/PrFnALd+4GB4VGIR3Tv7llrzkIz25E7Lxhfs2N09gpIa/dBhGFpcu/YZhBCwu3sJe3uXIKXCMJBUVmsNY3YhpULfr7FanaXat5xwQ4pjpFBwUfLOTNlyeYxhaLFcXsI997wG+0eH6FYd1utlNFfLKgkpFEzdxN7GDW7degbraOaYgV+WzHJpEKmHxuwlgNG9CmSgyWu5THWZzGiz8WNmuJWq0/qe5k5szZH7oXOtp073UPqMzwl0Xp+D81gJ0DpcmbS2rM5W8NZBa43p3hTNrIntTiieCSGgqirq01xTeY/tbSFZRzS4yuaEZZzL36usNwRyL1BW2oVQPNNC2b+7ZHrHbbZG57yIHxAEQuydCVBsx8lzdgT23qHv1lgsj7FY3BpJY5OqSOVrU17nqqpRVw3mOweoKqqvZ8MpISR29newc7CbXODPTo5xdnYzgtl1SiZkkinXrm8mxujPRVuxwAxjfn56Z5NkFoJaIXKrOm57onV1LqHI++BSJR9y65cSw9B84/noE+MJKAQV4JxM9aMM8sfXZ9yaLwHllzjuerDJtHyZHeALWBr+bN5sJWXNDA8vXhexmSyhBUAPbjmWGfC2M/tJALJkMMtAhQGrlJIaJUdQqpVJpjWbtSfcwoR7+JAWXGA628PepT2aqNF1SkeGkeqjBpi6wmxvBiEQ2yVQiwKpo6uldSkrLJXAZD5BPalyW4QQRgEMub5S8b4QudUCHysAoGgazO6ZAGn+ER9SPi4AQ9+TPC/KpWh/HhBDAs0ElPO1TyxN7DGnlMLQDykYU0anh1lVTaCURD1pMHVzDANnnDxYHgSQhp0b1wdPLVMAklkFR8yFtZnBKAEnLz5ucKhnDS2mWqXryI2Em2kDZQrgwpnPcnGT2cVNThvo6JTpHS0uzhLIbNuckeNCdg7Cj4+v4bn/8BTUexVMVacmxjdufBZaV9EaPMRFyaOuqdb29PRGegjRPMuSEfUyWGS/EgfbmgshYUyNyWSejAJI4sWNnR20rlMGW2oVASS3CRoHN3awqbVO8B7WOmhNTp78Ojh4KgDnrWdv4doT12LrIBd7KOrUKoX3733uJ8stf0rZpizkUM76VBu5rtaY7U6pB6WJrJ/yiXHr7JDqtnOv3fhg9AG9s9BRTqmkhPXxGLXG0PVYna2wuLXI/XA93e+JNa3IIEMbhcXxkgxjfMDQ9pQM496PHMgalWpDpRSjHnXOOqzOVnj8px/HbHcKCIGh76C0h1YGi+MzKK1wdOUoA+zU35cYXVOblPCSUVVgezKvAZDWyc0RQpSBulyvWTKXdshtDQBAeDZakbGm3KUkAQVTedsjoBl7oXarKImTAt4By9MlyVGT8Vn+PM9HESj4UxLJQM27kMw++Htw8i0EkuUuuw43rt7A4hYB9mbWoJmQWUnPCQ1DbNDpmhj4aVXBKIVuGKDjGsn/02diEK6L4yvmNJvXpWsUk4vUC9YmtQ0bzPlVh150yXuAz3OZLOO4ka839y4sE426oh6IE26rpSQObh3cfsH4Ah5SKjSTOZrJHNb20LrCjRtXcfPmVdy69TSmk13s7h5hMt1FVTXRENCiqibQ0SSt69f0/HT52RACWecocK2jTgoZ7z0WZ7cAAJcuPYidwx008wnWZ6uUROEejyQ7NTCGYqGbN66i7UgOSQnA3IIOAN1DgtUiYwUbP9cBpNKT5LMR/TloXuTAPSR3UoG6nubPcwJPi3SfchxB4EmR6sx7SJ8lqZJd/z2SUSJA5UB24HZNEdhFw67pLtUbrk6XuHXtOIF3KWMCzOiUVAeI7TdGxnIMBa1klDTn1me03xyLliwtAyP+nswccou+kgUuWcry3PA5L2PddD8KBRlrNq2n+9q6gUp4bB/d3dmgyieShrZddFwAsXIMVvu+xc7OEWaz3fR8pvIgFduYGDjr0cwaelYMFovFMc5Ob2ZAKmWaTyUBkhj0jQTGeH7Rsf3Wb/0WvObND6FbdXjiw5/Bv/zOf4yv+8bfgXf+hi8FADz204/hve/5Efzhv/AnMZk3sNbh7OYZ/v33/Rh+4x/+zTi6coTl8QK/9JO/jPe8+3vxDb/lm/G6tz2M7/z2/w/s0ONb/sx/gYN7D2D7AcfXTvB9/+gf4/f8iT+KH/xfvxfXrz8JAPjdf+w/w0PxGE6eO8F3/u2/jbZdjNn4CxxnXyqjyeOuB5ucmSoneNkjM92gMheUjwEnMxe5d2YCnqlWa6yd5puRhk83AwWnYxkuimLc0jGWjoPak3CgqhXp8ZmBAsuqfEgThmr9BKi2bkA1mWSgGZ1blSJzBWY4JjtTzPZmqRidM23eB7go6ehW3aiGEyBjCykok94tW2IPo4MauWSSJKSqTd6ec2khFlEul2QVG9kiZ3ONDDEoPgaDLtUd2Z4WJqV1WsiU0ejaPvVe42vC0qm+pUJ673zMIpmobacAUlcaRsb+gNFFLAFXb9Gve8z2ppjMm8QI2YGcL4WIpjkuJzqcG9CtMWI43eCwc7hL7KoQ2J8dJkmlrk1sEeNS/akQhTYfIBOiunAmdh4qENs6dD1sPxDjGuexjzWo1tpsjsAZw36N1fosbZuNGsglrR85LzfNDHbok8kQmT50ST58N/aeI+BdpQXZuQFdt0LTzNA0e2iaWTE/ZJLKcv0Ysy3c+kNpXm9o+xy8MqNkmioBRQCJ1RZRfsV/V7F2kgHB6nRJzKZWxZpC90N6qG/U2rBkh5JIcgRWyUgrIMyAWV2jMgYueHQD3X8yfk8hBILzyRE0yR2j87Z1Ljo1U53fENtyDB1lVuFjTZHJ5kbMxtrBRffUVcru833Pyg4hqNbcOWKGqRUSKSmaiupuht7i3tfdm9bXwfaQsU2N9x5nN88wmU8w26d1sDZ1ap7O5wsgFkJoAsTkVNunOlvOXBPYUYBAcd5FMkQKQiRpMSfwmPHVRkOGQC1Q4nfj9YevM9eE+hDoHEfgO0RWEaAk4nqxjv0qFRxcUU+ca3ZK52EG+gCyQ7CiYCr1U7UdZrtTHB3uwvmAW8/cIsOkuE87WDSzBvWkSu68zno45dEOuWaTpcWTqkI7DKn+04GS8DIarDibFRvMtIaYmKDvmutsffQVGGJ9M99/3vN3FYmtzPEAB/A5WbCZ6OP71tux3G9oX5o74yt1nJ4+F5OLUxhTY3//HmhtcHx8DX3fYt0usFgeQymN3d0j3HffI9g/OES77LBancF7h+mUeqH2/RpdRz1xE3MFQHoAYgz6IaiN240bn4UdLmP3aB/NfEL3ej+QKUysazO1gawkJpjh6NIDuPHcZ7FuF8V1LdRlo2T+hsLkQhUaSfVZ/VAG28xykaItGwTRa2PGVCiJxmiYwaQ1mwcnn4QQQKx1Z2ZwGFp0nS+kmQLGkJqsiuUUJO9e4+S5Ezg7FKowIgWklLGNnSj2SYmrZjohFtT5FPuyD0l5flJP7uJ7JUl09Gqwoc+t1EozpRjHledYqQi2C9lsauUWz59zA9p2GU0Hsx8EJ7SraoLEyF4A8Hg7fN60rrCzc4h60tBzp12T74UycT2ksojJvIFSEqc3VuQiH/J6WSYupCiTE2VrurjWOQul6HPc8tAHhwfe8ADe++734hMf/jD+67//X+HjH/gEvvEPfyP+1p/666jrCf70t/95XH/yOt7wptfiu//O9+Hs1in+r3/jj+Envv/H8d3f8b/gv/wf/gL+3T/7MXz08fdjd/cIX/+7fi32plO85jVvwtXPfhxvePvr8W+/8/+H5z57HX/sr/4R/Mg/P8IXvfMNqL67Scf38Ftfi8d++jF85P2PYbU8SV4hIQwb1/j8eS1xyYsdrwKwWS4u2RW2rNVkyVumlLOVdikd4J5NWWYhR0AzPaBktt4mZk8kkCmEyH2fiqwa7wtAktPSIlOnYJ+jUzbtULG/YZCADCKZ1vANUk92sHu4k4IypcctOeppTQGr0ZBapoJyBn7CZyls2Q/TDhbduktGM96TrAwh0HYGklo2syYeY6bp+WGvqygRNrl2QtCXTr9zIAYgZewZTJaA3A4utjSQ5Dwdz00/uFin5IEov+tbytC5waGqDfyswepsmZzceA4k8BkfcOVYnVG9mo6yWYGcbQWASZijbZdJ4kC9nqgOqJ7UMaCnoGZvvkc1S0VTdYCAINdRJlkYGy+ZLFFKDGpkbMnFLAIWJeGtg5QkobV2gJQejiVAkAiFtCiEAM0MeqyTYRkLz0MAWC5PYEwNLnRndm8YWqxWGbTeLaOOpkAqJpiylCjA2g5dl+/TetKQnE/kdj+cQJjuTDDbm9N9YVSuX/aZURn6IUlFsdm6Rma5LQA08wkm8wmWJ0sy77KxhZAUybDGOwcZe20lIxyVe8RJTX1pRfyZ2TMZJatSCgxtjxNm1qJZjZACCsWaWUhcy9rPEAIGm3u3KaPQzCfYOZgnBn6UXNMyJVgcgPXZikCfIgCnKx3nuStMtqKbt3UYAEjpI8iO91QE+J/64Kfwtq95G+554AqeefJJlFI4gNqY9GuTas11RT3onC0YLlPW/FNdZ98NmJhc31QyYlJKMqb3HkKFKGv2kJAx0Mr1sRxwptZGF4xNoCmQg0KhJLQU0Y22R/A+HW+5VnDSkcFrcuGO5RUMRllKa+oK2lB92GxvhvsfuhdaKlx96pm0HpO0GamtFA9zsAMj6TllnYCVDoMUaIxBby2c96iUAlDBT0MyBUoseQiZFWaZtaBnBYPl4HMvUlaAhBAwdFk6yEkfBu1slqSr+EzWKjGso3tOZLMn6xxcINZXSHL5vBsH17IZs4hOnBM0zQzz2T5sQ0wd9x69ceMqTk9v4N57XotLlx/A0T2XMfSW+lO7IRn7WNtQUtIOKYHLyiuBEpgIamFxdgMBZKpXTUg2TSxnTzLLwcbEWp2SadevP0kMXDkKoEmKsEwqlCVWJcHAskwGNOxHkFvZxQRHcBGMnnes9R6Q8Km/Lj0PinXReXBPSo5DhRComwrdSqKLNerGGNTTOpYLkUqFDLua0dfkEhmlFISqYRqD9dk6K1qiTBwAXGsTkcHtunLMKlK+X0qNYRjXhZffNQQfrTdFvOd8qlPk95eGhdpQUo5BJv2c611TWxDvAEFKC0oUdun9WpnIJLo0hzguZZDLDO1sNsfu7hGMqUiKbH1iovmc51YoRESslidR5baAFD6ZbgrkbhKj6bVx3TPBEKWydogeIAHf+K3vwo1nvgw/8gM/AV1pShQ4KuO68ewtHNx7gKYy+Prf9/X44kcfxnt+9Gdw9eonaK45T/2ovcWXf91vxLrtcPXTz+Abfv+78F1/6+PQSuFL3/WlWNwiSflkMh8dZwi0Zr3lq9+Kw/uP8NRHn8KTTz0OgEkaBvVACBcD+S3YfJ6xWaspCmayZCNzMSxnMnItZSmZ5VoAMvswSb9dXoikb0fuqwmgMILJi115jLm4l4apqGk8gNS7yRhiOuHHdt/cnDuECHyMwe7hTvp+bJNNAR2gdJWyYQBSfZdUEqrKbLCNkij+nR/k68WaCtOjdK2qDc1PH5LFv5A9mpmMACaC58qMejDJjQc8b58DPLpJ6KWyRUDKhmJsZW/qiuRWRiEEQyYQ8XXOkApJ1uNuIPMRclWlABAAhsFiGJAfiBjLC6wjYMctE9plm/YhIgvADytacKOjoR0g1QTNtIZpqmTyVM+a2Njepww9QDblOtbryYKt4mvBizbXxeraoJrU6bxx7W3fUm3d0A2wtkvuc12/znMdjh6qoEAuhAAlKQtpYh9Bbr3TNFMoZTCZ7GB39wh7h4eUaZYSpzdOcbcNltErbfLPykTDJvrewXtyEh64BlJBAtCVxu7RLvYu78WWODoFHpwxLWv9WMa4XrRYnizB7AuQg+3kHB2ZQtPQg9SxG2xUFkgpYAEEb0cPxMRu+lCsQdklmuc1s6gheNhlm6SR1aRCVZvEZFIgp1IwA0QpvpBwwROIa/tYo6pR1QYH9x1iujvD+myFxfGSkleRBWOww+eqaiqgiUqDCE5NXaVkWwlWmeUCJGw3wOxOST7fEXu2e7SLo/sP4a3D2fFZvJYyrmktpFJxjaDWF5yos71NJkLsWquMijXRNh2H0lTbqYSE5rovIeCEgFYSvXUYHPWQ5P5yPhoxKZ3Be3AeMgLY9DcfEBTVa5ZNFdjoBiHQvc41myK7jPNaT2u6JUC6puvSLltq5j6QLJgDLyFYPqqxOlth53QHl64cYXAWi5au62R3gnaxRm8jex2fHW6wWBwvY73tDEbp1BIFoGfxpKrgvMfgLMQgUM812rqCdS6BaWc9hMslCufuzdjLVUgBFLXIAIqWWASIq6Yi4FIZGJUZUSFENrIK3I6HXdDpOV7p+EwPAkHQ+15q8PVKHQnk2wErRy7QSukEBLSuMJ9XsRfzCl23xs1bz8AHj93dI+weHODS/ZfQtz3Ojs9gLTlHz6Z76Id2w/Wd+w6GlIwPIaDr1jFGk5gGStBNdqZwjhzfu5aY0mpSw9QG8909eO9x8+bVxEaWTv4c73GsVbauK8EUr8mb7qfULsWDjSL5PGU13Dg458C9ZO6cy21FhOIaQ0p+lM/8ya7CVMzSehJ8oOd37MFparonua8mO58qqaFNleqnL7quQKn2Q6xJLmWURCBAisIV/Hzd4OY2EWNDAQFIZildBH8yxdc80nmOcRIn5oUQAIN5DyCWfbGxndIGTTODcxbW9qP6UyGIcRUQmExm2Nu7jOl0J4J8pPg3nwcBRAb77OZZBPszoBOoTI11u0jzJCclstyUSSlOOHDCwNohtUIp49V3//134wM//+NwzuLeex/G/Q9cxtf95t8MOzjce+USPvnhx7HqfhO+5zu+Gz923334fX/6d+LHv/cB3LhxNZ23STPH1/3Or8Uv/sSH0K87/Ibf/mtx6fKD8CHgiceewI3P3sDr3/Y63HPlAUyrCu/46l+NB596BM9efQreBTz10SfxyV/8BIaeZO/cccA7D3ayHc8Zcqd9qU60wKsBbCaAV4LGgpVME2/cZoTrM7n/DvXXm6TWEyRxKLTiKQuq4r42+hIJkWobRtk9Z0eBA9+0ShtMJrvg3jfwSBI7fh8bIiRdvhAAAkxdJaDpYoBXx2DNDg6i7EfpPDkNCgGApGldR/I5Zx3aVYvl2Sms7ZMOXikFralAfzKbYrY3LQJPmbPSPjeoB1iyRIGo7W1qvQCQHT2vR5ztF0pCgvpYzvZmSRJYSlfp/VE2oWSRMcuSKKACtzNIDHbscWiHPsn+hFCoqorq3OyQGG/vHKwb0mIiBNVEcE1ryjqxrC9ko4KqoQJ/lijWEzJgYVkYy9aUioZDPiSgwO68NI9CNgWKrojsHjma75GJkFIAWiEEiUZR3SD3VGUJtelrrNek2XcAZMhyEWbwtSAprRQSQtO9MJvtYzbbx+Gle7BztJOMWrq2h7gL4y+SGalYL11BK52k9ex2mH7W+aGqtcJ8f0btJqyDi+fWVCY/bKWAjO0teI74EDDdIXfj5ckCfTvkYCQmHkylUcc6k5GxzuCSkkAoCekDSXuBCDxzkkdqvljE8pQ1KZzhTvMtgkWAgng3uKSMqCZRRqpEScYS0OxpvvXtkNYcKDoeMSMWWBmNs5tnBTMvYLQm4FyZ5LxMpjwS9bQeGblQbzmT+mEOvYXzDjL262VAd/3J67j59A1MdqYJeEqt0EUDHRkNbmwv4X3AzuEOqqaK6gBiXE0dION3pe8so8NzHxNuBBq1plpVIUDAU9J1VVLCqBqDiwApOkxyAFr+zO2eykBPCZnYEi3JpGnoh8QS83XihIKJANnUBm6wOHnuFCfXT7BerJOMmUGZd4VBh2XTDwoCfU2/3/PQPZhWNT72S5/EtSeuYbI7xXxvhqqpqcl8XA9JquqwOqW6p539OdXuOocVB2wIMEpjUtVQQsJG4NcOA7qBGBxe/2RMUnJrHKEkOV8yWzPY6DUQn8dSYrozga4M6sqgNhpaqgQqe2uJWS2ShHzsfE8RACEXzj5Kc8s1gZn1u20IxOdAjG8IMBGjuVwep3p+rQ09Bw6vFDXtAquzJfp1h+neDPe+9j7YbkC76jD0AypXJ8CY5JLGFYYtOenOgTCA1Opm92gXi1uSWowNA4SSqGPSdmdvHyF4nBxfQ0AoYr2YjIpxFvdF5pitvL9o/5Qw8l4AcMnchcGo1vUo+UzxYlzbJJc15XWWexuXTvJlgixwGzWZlWu6MmQY1NukZOFyJDYMWi+p57AxNdiIrqoNJvMJhmheyCoqanUXW3A4jyEmfbIrbIyllAKgU2kWu+ny97yIkUxgNZ1DMpgRguons7lQJmAyEZM9BMpBcmlK9tO5M6iqCeZzKglbrc5InVBNiPmMLXWkVKjrCY4Or2Ay3YFS5BHAz9tSIs/nv10usV4vsLNziKqq0LVLmKqBj+3ONp2JKZYszXViv/eYPCGfjK4AoBLv+c734LOf/Si8dwnk/YO/8j/hjV/6Zigt8ff+wt/B2dlNfN8/eDdOT2/gxo2r+O7voHMcvMcP/cP/A8888ylIpfED/+Bf45d+4acghMKTH3kK1g74wX/0Q9i9tIvp7hTf8x3fh48+/n58z983mB/McXDfIY5v3MT/8Y9+EPc+dB+mu7O49vuEdQAk4yG+bijviSKx8mLHXQ42RdJdn0fsY9mrYuMdCFT1JC6eXM9nkkMUNxtmt6hUzxYbsac+khFsCTGu5QSQpGjsPtat21QA7b1L2ZvSqTYIkayuA2eQUDSwjkMZjfn+jGqRYqaZJRe2tzHTjQQO+YZZnazQrbvkAEnvH3B6eisBTZZq0DlbQUmFk2Ogem6CyWQH9aRBPanJKMLo1G7Ds1Ogkgg+BrySal5KcMjmHOXCDyGicU+dmo+X1y+54Ip8PoZuIPlg3D+be1S9SX1C+472XdU1tK/gPTm8hYD0Xa3tIUD21F23GiUonDuAcw7TnSmkolY0TuVebFrT+a2bCvWsof5XLKuMgSTLuZx1Ue5Wx7ozbofBsjcK/piFoH8r9LENCSUvsvRBG+oLyuy81nrEjFLdMdmCz6Z70Mqg7ZbxYcrMPQVT1vY0J42BqWrMdnaxd3CIyXyCZkbynnaVeyfyA+1uGlJSnzY2BlPsPls40CqlSRqr6KE/25ulYJfncakMcIOFqAzgkeoxudaSAaGpJfYu7WF5usLymOQxELnZfAghJWsAJBmr7Qf4SQUJmdaLICWqSR1NgtwoIVZpNQJw/HfnHOzKEtvoQ5JkOktSyRACGe4AMXDIICwEpP6hwftkpOOitJ3XQmV0qhdfn62wOiUDCFNpkse5LDU1DckeUxsLR+Y6PLcZiFSTGnbIxiRlMDPbnye5u/cBuwfEmrD02UaZsh0sNfu+vBedssVIIpaeHfGcu8HBFYkGm5I2Ej7V7sRrH49JCAocea2guTZOgvIQgmoOZVS1sJR2iKoTBpp96oGs0zrCrO3J9RMcXz9Gu1in1k18HpKUO9aJ0999Os4QJrjv4fuwuzvH9etkTrVetFgvWixuLbB3aQ+z/RmVL7R9/Cy7YVusly0msyZJUjtroZWC8wO0c+nvUghoKRG0Rg8LKQTVyArB7Qlh/ZCYWAQy45NKUdP7pkalNYwicyopROpZ2ltiTIfokMvMPjMjQ5TwcpIFAHw3QEoBl1pDEfNPbSjuvrUOQCwNyUCM7yMd20tQHSbVrB/szzGZzKmOXwbUNa15vFasz9aQSmLncId+X6yxOlnSs2dmUv27lBJtuzyn7mJJr5ASu4d70RxnCrkQ6PuenucytmKrNHb3DyGExGJBZkOlIu12AbMo1kIpiGAg8JRbKtHzMscHuX6cWVQDoTiZJsBdcYQQie1nl2YeZaJZFLXD5FROdZfTnQn62Cs2rc9RlWWMwQCM1iOWevooJycDOYq/+jbHWt7b9DNfXyIfEI9JR3Y0t6+h7zyu4eTku/eOVjmOTYWElNx1IbcClAV7zSyk0BLO5WtD8QxLl+nvVVVjZ34AqTSGoYXWBsMQ6/rlADhKCkwmuzg4uBfT6Txui543treop3VW4IFixdXZIrkZe+cQooJJ6yox5CzdzV0pVDKWZCaTWNYOq9VpAprlGv7hD/8UQiDw3jQzeO9w7dpncO3ffGZ0HT74vp9K5+exD/1ccjX+0C/8VJrPH/rAf4jPNIcPfuAn4L3D1asfA/nLUCIIIeAXfu7fp7pSISVWq1N86ENLlM+XEgOFECDBc8kimWIV73sp464GmzxRbFFzV560shdPXU9hdIW6maVm4bnBrIO1GYQYV0Mrqv1LDIfVMMYQYJKi0I7TULEvnZDZhIMXD29nGPo9tIs1lsszAl6mho6yKudiDea0TsEjS0I5G81Mxs7hTty2S7UOQgiyrpe55o+legxihnYYtfsIIZCcKjGa/tw5TOe1QwQ9U3TrCqvTFZpZnQK7yXwCU01HMigOZFg6GrxP8rTEsBQZQqWp/gxA+s6jbFqUfXBPNTbcEIJcLal5eWwToxVMQGID2lWLrlvj9HSVeoZxcTob/iCEJKvJWSybmAjvqc7TNBXq3To9ELhvKB9LljD61IeMjSzqaTTT4BpZTw+Kbt1hdbrC6c0T9H0L7ywG249Y8fIB0HXrKEPKEo+6nsRaBAVjxvUeQsrYNiebTAmQLEfUE7BzW9WQRNfUVEfCD0u+Zi6M5Zp3y2BTMFI0ZDBO4JNYTq6jVUZhvj9HM6ujK2CUtKqssKBzVPbSQjKsctF9FkACprO9WZJNaaPQzLLRFJuECR8glEqMDB831xLzPJWNAWBGEi4h8j3FtWs+hOw2G49xFGQUQZPfyMzz29xAPXkpacKu0uP6Z2aUJrFP7c7hbmKbQuxhy207VqcreOeSnIzPH9VW5uQZ1+PlmiwJU2m0izU++YufxN6l3eSAzcCrmUepeDT6mu5OCSQt2mgERnOd1lEJ1IV5R3RHTUZeBbj1Ud7luCduvKY2sq28lpZ1TkKIVNNVSva4DQp/Zog19j4CzW5FUmRlFLQmd2LvPBa3Fji9cUr9TNc9GRXZDCpdDNS8dfCSs/Ru1JBdVxq7l3axWK3x7GeeRRvrMkmlMuDkuROszlY4vO8Qk3mDru2p7UJspcLHZSoNHU022qFHYyp01kZZKxL7K4WAUQqDc8RCRrdZVtzwsyOEgMm8wt7eDmZ1DRXvBwavLI1d9z26yGZyz05mSAGkZwfPoXK4+DdtdJT1RqDh7r61DkA0dxmXbACAUCTTDAOByqbZQT90cKc3YO1ALSbqKWotsXu0C5YnrqNEvp7W2Lu0FxNLa6wX1CNzOt2DcwOUMlivchlG8A4e1Pfz+PhZhBCwe7ALZTSa+QSq07k8JDpGV7XB3sEh6nqCxeJWIgRKEJsDbPbckGkN5qA7RPkmghgZCJbJK44/QgjU77Pn7Svyr1BU46+rsp6b1gOpFDnqVobmfXQNb5cttNFoZjVCQJqTbqCkH3tcrBdrQJKKCT4ktpTZ+aG3uR5fiPRZfg6U7Oy4lUts5VTIaPk9xmgIUSVmuhzMZlJYlYFi6imZVEBZfSaESACVSBs/Wte9s9CxxQ33xrQ2SolNjbomVrPrVlDKYHf3Eg4O7iWlVTSDzFM6JGUcq7vOTo6xWp0SCFQGi+UxdGfQ9y36vk3ng5lYY6rkYMtJrqoiguT09BaWy2Ps79+bWHveRilTruomxZPxJCAEBwEJF9zoePO/zBx7KVNpF5k0+cRIQrCEd53mPJcNaklGSVLIpCKID3U65yKA6zcBV7CdFGEKIbJK9EWOuxps8ijrogAk7T5LQaj+bI69vctomtnI3CX4LNUkMyHalhMWWo+ZOM7AK8EMZwEyYnG4StksmV1lATSO7Jd3hp3chNr77Bg7m2J+sENGMOssmxUSEF5AaIXZ7pT6Pw4WVVMl8OacS9K7EMjZleUZHNAJSYZAZbZ7GFo4OyTnUaU0NVt2Fihcep13CAM9UDir0/c1ht5iMp8kO+/JvIGOzdy5vQmfP65hAkthix5nPPp1nxaL9LkI8th4iAISn1pCJJY0MRN5e8761FOp79b0PeLN7Z0ja+tYu3GR1ENEO/VqQuCNTFochq5HrZuRNNH7AMTj1ibak+vzRedKy3jdKeiluqqOgkSfF5WLmlLzIoQQW9wgZwu7jiTDpqrhvSdmPsq6+QHK35F7fXJ2ruxp1bfkvkmsDM2nncMddKsu1T3cbSOzvWQOlOX4/AAlQKO0TIxvM59kB9oISngNoAdq2ZdRpiABBZMAEUOkQD1iq9qQ1NS6dG+n7Ul+aIgs8S6SO5xR522XEqsQaD2qDd2bzlNje6FkdHeVGPohSS1Z8ssMoe0HYv+QA3A2v8ky1pCSSvT3/B0RwUhVGwgpUtueru2xPF3h+Noxhm7A6myVElBSZ5AQAhKoF7HOsJ5Sss40VdoXy/CauCZ557BeZJfMnYM5fEXHWU9z7XO36pILuHchrSs6MhXJJbY4xy54GMEAGHCRjQTo55Ro9Jxw9Ola8P8lC6KKxI73ZPLlIrM39EPso+fpO0fZ/tAOaFct2sWaEpmnDDZdesZkQ5BYiyqp9MJbH/dP5+bht74W+/s7OD4+w42rN4hVBD17ssHSgBtP38DOwRzz/R3oHY31Yo12SUFXNamy2ZkgtnCwFkZrDM6hitLjEEjmass6Su9T71VOREgtMdud4XBnjlrrbOQTa0NZMuu8p1Y9gxuzuXRhiLmM8lmlFbU+CSwpDmDWqUzuhkAGRHfjKL0ceH0SsR5OSommmf//2fuTWNvWfT8M+n3VGGPOuaq9T3HvuZWf3/NzEduxkBwSQhoBCUQUEUQjiiIkiEB0KDq0IhoEmtCJ6JCEIulAAnEEBhSSAAoyUYgSSGy5iPMqv/IW556zi7XWnHMUX0XjX3zfWPtcO3nXDXvL39XV2mcVc445xlf8i1+B29tXSClimk5Y16t2O631CON38Y/8E/8Q3l8v+Nf/N/8GxuOI/9b/4B/HX/m138TDJ/f48nd/in/n//Lv4O6TOyyXBfPlyskDFaTn+dxE+UpGtSTk8v79lygl4fb+gbjfhwHOW2zzRpDajc5PP3jcDLcYphGXZ+o0VXwz70yEX2T0ViDWdvDYl0MWKv/Mu7GdvwAnXU1TwQSjcFnnmyK5FKVFydl5snBygdaOJHylEKR8PAzIXBATSzZjDAbmVmu8kTOcJXQDFUkysIGLY1Q0ESQIfZQmpgZgV2iS2KJWoZhZ7vw1FVM50+he9fPHoue5tqJa1zGrRmGwpWS2l7Jw41GV3qmTKGeuh7VAjKt22G9vX+P29oHgx5xoSve05wJnLl4+Pn5NhftSSKRnnSHOEBLr62dDS5qpCcOw3Cr7RsaynLFti0J7Q5jw/PxGE85SCoYwwsBqHNc3nIAWq9L0Knr9ep/QoK7996VbLEJXOs+NXG/Un4/jUS1l5HcAwFQpqjsQ8InXi+EYuJZWBP99jo8/2TQGFk5JywKTCGFUrHsII149fAthoKrF7e1r3kAX5MybiXR7fEAIYzfxSYlTxF6GiSTireskvXkIF6f9d6vyWO8wBa/wkxTJZ4dek3h+siGh1mZnkDKKYdGOA/kijpxoSuIpojyUsNAGKBDWJoNPyUPi5HTn/cZVwT7poFvLwVNOACgRlSqZQG6ls7JcFtroWOBD4Hay+ZDJbFHOjUCwephH3FLXGdoPhdOig0CVojDV9bri8kheXNuyUTU00jUeDrdwLmBdrwyHSJqEGdN5Eho2DWeY8zAQbFjEcTSABrCcZ+66BFUflY1afJtgmlm1BFCJ/UzjSgGkBHUEIQwktrJR4hnjppvLOBywbrMeAJbvmymOKsQs/iNmzQJHlvs7DAfebMKuGis/FyEOxxw1gYeKkqV03SVI/5iGiIFRYYr43ta0hNMw1/Jwe8Rn3/+MYOzgQFU1wT700pWh4i12Xz2stXkdWktB1HgYcX68cMW+eW9KgiLQQEkcAEoIIEq0fB3BOwSGb6ackUrGvG3KWZOgnGBQFBzFtWgndBiD8oBpkI+cfL7C3SfpRplu3VauxNuuYFJywfpCaCcMAZ985xNMpwnzeca7H7/F9XkGOisi2Q9qrdzlo7W+XlcMhwHjRqqVwzRgmzf85l8mRdphGmCdU27iNm94qs949fkr3PgbEsixRn01ZS+hApFh/iYnmFxE9N7R57J2pxqrz9kQqEmKdxJItgp2C9oACvhkV3OgRAwAVoarR7Z/iWtkhW8SX8qpYJvJW3I+z5jPJO4kkGZjyRPT3bGdCE8eeR7z8xWZhZJqBT77/mf4/Aef43yd8Xu/8nut2MfFQfX3BajLOm94t73D3Sd3ON0fiV/OQZ50ZrxtMDPZZ1aGPqecd/fFyr7ZrZvxOOLVwx1O46id+C1nJIbIitJtqa0T2hcqXoqfOLHwqZX9mrP6bQrtBYD+bd91+tiG7PkvOY8AEAJ3mWBUqTbGFc6RZ+YyP+Oz73+Grx+f8K1XD7h5dUPdOmvxF//cX8J3f/m7+O4f/i7eff2G/IpPR9x/8qBILaIPBVW8rVwAln3xfH4PADicbvjs5XjrSgX0bd5Ig8KyPsL4CeYzqaTnHNEUZRn1wEgVEfMT+KjQjADsuvxSWAQokSqF4KwU131osyfrnIr1juHtXu3NZqYNAMB4GFC5eB4ZOgtAKQgAnRXL5arJCF0zn9O838c1YlsjxhfrRuIx6aKqOm1nTm6SFMz6wmjXFODtXjtf7Okuf9N3S1Ern51eYzx9H9M6dPQ6oklAcYcowEsDo5aCgoxSaE5eLu+xbTNubl7h7u5TtZ8S1XO63rJ7/fMjwWWfn9+yvU9lFCNZtp1O93ov6LOIlRt3u0GJJs2fQdX5n5/f8vxK/BkyqTffPOCJu/7WWgzjpPzX/p6+bBgoj5a7iVIo6VWTrXWt4EEvhKIWMiSQB7TPH+NG99NaeBcU8fbyPtFzJ65qNTJf8DdlfPTJpiwWsR4Zhkn9o4ZhhPcjKajdfUpB9zSwAM1rnB+fUUpSb52KAqNBptvBlcRWxAW/O7iMMTtTagnWZHjrtWMg1hb0tyuO90egHJD4oJbASDhKYnPhB4PDzWGncClQWecc4hYVcmSFL8qcFQk+0tb8pLQK1LXn1a7FkBlzqwB6WJsgRG5rAXD153p9hnNBDXMJUmUUntcnkgDYNoGgFcIf4jfRjRsalHEnWSFN4m9n+HNJ8kYB73JZcH5/xvX6hFISvB91EwTAXdobTnpjJ4bk9f8qVsBKrMIjVfsYZxTiRzBLCuRSTB2nl7i8pRTYbCiYrJV5cZT893DfwRrUQh1ECnQmFlzZVIW21qpd8i32h0OBtYU26H5DywnZkrfWOB5/ptqtDCcedJ69sqyhQsjQ4KEyP3vbg49leB/UU03tkKz47lKl+P7zB3z/j3yf5jo/F0mc9tXfBpXUw7wUVNuqxhpkWwvYhowQru+pEozKB8fKx1B4oXVWYZ+S7GhwZIkPZ63F4B3WmDBz11x+DmC3lvzggVx1jQHUoSIvUOp8EXqCCiUK208ZaY0qjqFBWvCwTtRVudC0Ev8yx9y6hoE4sLVWTMeJuOdHSjqX64L1suD6NCNV5q2WqpDyUirmC3HQ12lVMSBjDcbDiNvXtzjcHVFzIbjn0jpUOWec7k5IMe1gWIB0cCcV6iqFzNmtZwVgRm1YR0q0hRMl+WqN0ePf8PeNszClNUn2wR3UVkm6dltKeq9qoQ6wQAidd7g+z4hL1OBuva7IbEN1uDns5p4LbidAIlSP+XxUMZ6SCn7wx36AlDLWpyve/viNwm/DNDQRk5C12FZrRYkZ7798h5tXt7h5dYO4kLXKelnUy9g5hxoqnDUYfSBrkUJFMWcsgnNIzOckoSDq3oxDwO3hgNF7OGu5c5k00VxTVDVzKniQt7NxFobny055mRNryyLvcn5n02glwserjI6Rs/hjHr21WwWpkx8PTeFeVEFlrzKGvAv/vv/y3wdrLY7DgD/+n/3j+Pf/7/8+pmHAH/7Tv4zz+wv+9f/1v4ZhICuUp/crvAu4ebgjXudbem+J1dZ1Zt9D8YR0CpsUKoCgLHxwVHzZkhaGrHM4PZwwHkfM5xnbNusao07aytfeaBASF4itjrWWvEENKYAPGDWGKom48GrLg5ZA7OC2ucAy3L9WOi9733OJW1LKsNyVk/hs3pKKxyW2lSGuqNP4Us7hnDP5v5aqqKm0xZ2gYCmFEWtFzyi5TrkXksC2ZPWbbT9Iyb7sqGqSFFV0tlSlT4TkHhHcVuhb3gX4MDDdhwShrDNYrwGXS7NUEx7v69ffwel0q40XOXd7Tq1cCzURNlwu77GuszoQyH0cx+MHUGvqUA4YxwM1aFhTxXunqMbL5RHX6zN/FqEl0OecphvEuOF8fsewVrsTW+rjX40NJHG3TcFXcwdYDXxTjl13U2x6GvcSaE2iiqox+cD+6fK6/MT02un5WeRaYW1PV/s7nM2/4bDWAdbh1atv4dNPv4fT6QHDMCEEIgpPp1EJ7XJAiRANVfOjLjrZQOThS7dKAiPPfpUqFCRcFU5EYYxWyPqF2084gOCYpKZ3VKXT1BHEKViAyluPx1ErOwDUjmS9Jq2OtUAGqgoptixStdVNMuUm35y2tnlwpapv8Vv2HiyFqiGopKQr5Orda3K3QO6DYREc+UyJN1UALGTC1WTs/fAK/20tBBd52UEWz7j1uirp/vp8xfX6xNCJhHk+6+ElyaQxJKYzhJHx+AeMI3Hv+ucltg/SgTHMCQO8qt1q4i4BfCpIJWrXO3MXxnJHRLpBUqFUuHGFJqHGGLiB3jsMnlQ3U1YBppon7ZKJirFsYIk7nn1BQTqsji0WJLjU7lLXhZcObRMZMuq/CmOYN7ZqIPoxjWZ4/UKt2pFq4Be/9B384I/9gKGwxHvLOQN8/vbKrnR4d3Clbl69TETleyoMw0PUX6Xr7UfxSiOhqiBCQzR5kCGiRHRt3lMQL3L6Ihgk8vJ6HdVQ0NIlQFagtVaKeO2zyRoWkS5Z9+jmHAVuhaFJlgJATvZKLpqAJoWkkxCLCyR05gcSQNuWDef3F8znmcSKSiGLplz1+dRa9O9roeBxuSx4/Ol73H96j/dfvtt1uCwrnAqcrXaBGP8S0paUMyvDOqvFBWvtzq/RGOj+ahoqlf67R7nwudHf/1rrTtBiTRHddEEthPYQz9aSi9oiiJXV4eZAStEzoTm2ZdPOpCBc4rpBujZgGK0UCL7/R7+HX/i7/gAOw4C/8lu/glpJlMhag9jRHOIWaV/0ZL/lB4+4RrVCevjsnvergpIj71leg1BvSdBnSwkpF2RTMbjOe7oanE4jRk+2JdLlTSVjjQmR7VK2lHZ7kBRqdE31CANLvND2HI2q4npR/pYuay7cESr6zAWF9LENocf0wxiLaTqRcF7cFPIao3RzKOb44os/CB88/tV/7l/Fq2+9wj/8X/sv4C/4v4CfvH+Pf/v/RCInzltMxwOGMqod1/P791ivVDC/e/UKy2VRIRiJRQAoGi3GFWELOwSZcQ7BWi7YtjjLGkKFnO5PCEvAcrkilXYekn1V6+CKYJQM5x0cqLAoiU0tFa5Sd0nOalHp7pEhfggIx4mTTIK8i5aDH8STsaBsLQlLvKbD4KmozElpYBoFzd99cbj3bK61qp6CIEtkyHobxnG3bxMypNGzGkS3Rwx3PP0CaJJijMJqS9lDkfukW+JPSTR7j0xrLQsbnqhbzfeHKA3Axr6jMW04HG6oYTS2eSoUKUk0ZYiwUc6ZkIqp+WZayzBqYzhm9ziyRoVAf41xCEEKugXDMMF7srZblgsLAjUqRq0VhhFkzhUcj3esquzYspDPBOyTfF1nHZrAmOZuUWtDGqUc9+9nBHnXaHvonpVRH1TpkNrGGW0LXPmbgIVzAKkxE2KpYP/8fz/jo042jTG4v/8UP/jB34Xv/sIvIExBVfdyJG7d6YGIx1Tdpc6adRbVGAwH+jdBLlPbnMSHjgUcxPzbD0G99AQmir6DUSvxk+QCK3EVH+7eYpgo0NrmDfVIVSkSxaFJkT9PWJYN27yg5IqBFRJN8DgcN9TypJ0Iay3my4wREebWincwsnQAakW5zYiJRBd2lXQDVvrb8Hx+jxiXFrhCsP0t6TbGoVbxM3MArNpmGGNwOlXcf1IRDiPGkQ4HUZQEgGImvH98pclOqEErenRNFSVTIEBVZg7q2BQ9pwJrqyaxYuuRmYfqmK+wzgt6uMCuc8sLkaDVA8TKYmQuJiXffHh4B+VfGsOwjlYFlN+XkTvPNkk0rG8iL4gZhTtU1rudwqELnnlVe2il81zM4GJIXCmJHQ5Vk2D53f6rBNQ8LdshwptPKRapJD5ovB6iABUwpMMpRRYJSo0x2JaVRAj8xxeA7Q6A3qtt8Pjil77Ad3/5u9jmZhcEoLPk8JrMK3/npQdat4nvDxEJiiVxBIyjIsB0GjGfGQ3hnT5366hjllJSWKlYYThnSUQI0kmXBHLP/9WDSItF0Hk5TANfz/7SnbPU3eSEJm5Jg3GBstN7UXVe9lOZQ2plUitqAVmX2KpiDomDOOeI0zQeqbByujtqd1/sd3LMKrYk8FF5/3VeMUwDbh5OePz6EZ4LR04UefkZjgeiRUROntW2BYLA4KTFdcFOyoAHcqXEnfyG6ee+Ky5Ioq3/zYgUuYcv129OGZDgMTXe4bbG9u9EVjSH6aDdDbMRZ3Obifsqgazce52TPA9SoudH/yal7YfPX2FdN7z9ksRWPvnOp1S4e7pqUUG61tY5ToDpe6IIvFwWXKcBx9uDzpscxUS8FRLvDiTS5KzFytYMg3eoFTgMAwbXgrCYKSkttSKVBpsV9UlF+DjqCss99c7BWRJbctZq0ird51wKiQixem3MCbWClWpb0Oy8/XAdfyRDkFsA1It8HA7wPmBdZ/gwKMcOIJssZykofnp8i3/hn/pfIgRKJP/MP/Nnsc4b/uV/9v9M+4ExWlAyhpBkoQY+YxOen59gjMX9q08wnR7Iksh6HA63EC0FgIL1bdtIi8J4wLZA2w9e973KdBxBCk2sDC9rR2IK4YDra4RWUNO9riuMl1o0bpB5LsgTSUal4+pYvXg+k2J7GLwqGife/+RMJVHARkGQ5NIPHqgV66V5N8q1CmJOinLyfWqWkGqzeBbrHit0CW4YUPOB16JxCKFZTgl6Re+Ps0DKyPmFCKb1KKVReyiZ/OtZpNC69H6kZM+QY4Eorct+v15XTY7H40H3XikGSQOnQWC7vZo7kvNMfq9k52Y53ozUaODCsYiEWqbKAKKtQrZR43iACEbmTHzRGJdvXkSVuKDWOpxO9/pe1UqiTQnky0aJFG2MIepOzkx9gEWpGTUlpbNJMYA+M8Fed8+ph8kao3vi7uz5hgRSEk4KC12nrPx3BIJ+5vA+4O/9B/5LuP/0nhIPLxwdcFIyKNdyW6NWn6w1qCy8I902V1gamDuWLXhjsrcKvogPT9UKG7CDVmslghJKh/FQEdMBaY3I1TMEtAJbhxc1A4wd4cKEUjasW0WYRkzDiJgYDmQtcjV4fnfFtlgYM8GWJkZC8KbEm4RDzg55Y+8x9VWrABxiBGKckHNQWIC05QtXpWTylSIiAlTpstZplcVah2EJqHaAcSPqVmE3g5xoBh8OM2p5QMoJcYnUoeWA0zqDnKrChUk8p2pQR/eVq2W5wpiqQbEPDlUUJHNsSqph23WnxeC41sxWHxFApIV+jsyLrPpZAsMnjNsnmQKBBtCSXdNMwyXwluJBXCMONweCskXADyQ4UnJBeWEPQRxLDjwFrsxzkDryLbmVTquauX9DIiP/7pPQ3SQFtKAiQw5N6UhoUpULCnPNxuOokMyPaSh0liuGJIEe8PDZA774xS/w/PZZixvacWboXjmOCKWqYurLZ9InMTKarH7RBL/vLgI0/4bDgLTuq5wpiuBM1iBJ7ZjQOu0fJLXWKEdN5oGsrcTVcfLEdLtuggh0lVJp/8rUYdzmDSvAfMmGSNg4GdS/73iL9DskvGKMQTZGVValoxARkdleRzpYfvAakIVxoGRHUCXOUmDJXb+nN0/44a//CJ9971M8vX1WaJlA7sTjzg8BJReMh/3912KNbYe3FgXkPUXCnyGgu45AbYq0fUFB9mcZrWMoAVQ3H71D5iLTtpK35XScYB1x9OMa1UdTvEuttSpgpnPDc2IxWlYOpm6o5SLJ6y9e07Xkgp/8tR/zz+hz331yB2OA9bqqNUMPgS4DBbSGC2jrTJ2Jm1dc3I0kTpI5MDfGKCy2shBNLgWn8UDQb9MJEXGimaULngtSyXy2kjqwwJYPw6CKwFMY9LXkOWwp4bwsiLx+vbUI3tNXjrJiTgQbZx/XFEUg6uMMn4xp5zdAcdQ4HrG9CKwlIeghrpG1GoZhUrRYGEKDqvO89oGKCHSG0fpd51VFX969+RLH4z1eff6aigvsJVtr5USxUMdzoXlFQmYNdihJl6i/AlAP62EaMN0ciOO5bGr3Zp1Rbr0kRbI3SvIGQNFEgjay3K7KiWJHPwS4kYS6aq16Jk5HUZil/VG6jgNTEsR2qPL5sW0ztm1FCKTXMOcF8yzWFW53JkhiOt0QqmbskG59HFFS2XE0d100u5/PzjnAtdjRGEHmtW5krSIeVPVv6ov48OUQf00q6nOMliJCoOYNnXsWgMW2UHHQMQVgp0jd0YhEmbU/X3OO2DZKNAVpN4RRrQ3jtmKLK8+NzJ10r8KUtVY4F5TbSveBXBsy253szuRO1bjUAlNYT2M8YhgKd8wzarWawEXuJkviKbog0hU2htAYzQ+V1uOuucHPxznuunfcTXq+Tn+fip2WobWtGErXb5SK0hLO2mg135CY/icZH+duycPAqGCJcH5EWfFoLdZ51eBZrAdUKpphcOORDOuT50psh7MHwJLpUbkrUu2dz7MqYgHQTUhEhPxIXdDj7ZE7ZAXGW/hqENe0C8gADm4cCQEJFHM6jciRVAyttyoClLasXTSAYSHMd0zdZzSWIEYoRv03ZYiQQw9LEI6EwEykGgWgUzXNCquNcaHA3Fr4gYLUXBova9fxrR1kiRe68MflHrjgES8LHSDd4pFBokJVuV6Veaqe7/N0nNizsomglMJqXbBIaWYJd+poXq/PRE6XjdQ6lPGIUnNXgWoEfOc2hGlQbzlROrPWIq5ON0QSU6D7cLo/kVR3ynCHAeNhwGY4cCv8WbYKWArW5cAtYN8u53bKmZrYcpGCYDX4MJhlCLJ1JJ5Fhy1X81hlUwoqIjZFkumO73PjQdVUWKjBKWz7Yxr7jqZFCAOONyd87498D5eni3bOCHpZd9BPu5H1R04ZdSzK7ZV5b6zVYKZ19hr/EA7NBqPrWgMC9ycVZhOTytXL89Zr79ZPLRXGtYRT9gEJ+Nt+xdXyJPzAioHnGQUaLSGFNYgsSNOSmapIDeEqz2fiE1rX/OQAIHfQRwpWwN0xS0XBLUEEwyRBtc6iJOZnzY2v1Kr2lARPNwdFAvhAit13r28xHqmarp62XDzyvHeQ9+3ehH3PpzUKX5XioYzSHfi5UFIkXbQtJe1ciPWGzoXuWaUt8d5c1d6mFxtK3LH17FMKQCGy20rcyHXZFBkhSqtpI5VhxwUpCbRLV2AopeD+swf84p/6RRxvj/i1/+DXsC6bXq9QIJz3ON6fcOsczu+fd3xtOe+sI/pIjgkLd3vuPrkjuHnmoipIXfMcHB6OJ3jrEEb2JrRGE3ZKbF7Av/iaR7aRkp8H9tgcOIE1hrq/a4xYE3OVuZAhaspaqBwInidiLtY7TdjDOMCzYvH8fP0b7Bx/e46++GitwzAcUFH4LCwwxqvmQc5e564IpoiVnMxroYHo69t2ZhpRfGVU1qtPP0GKD2rHkzYSn7t9daNiWE1jgpBDLeEEd6XoNZ2jhCtzzOMD2wFxLGStweH2QHOL9xLRU5DCorgKuECQ2W2J5Ef+Ij6TPYHOQUIQrKzCTHPG6346ukEh5LVURb/QZ9qQOW5xOWAcWFDQGVyeLqr4KxoS4vdOvuEtQQavGSqaNfguPR+/2++MIcEzUWWutTJCoCXqon4uQnMkWtNAMH3hOoRB/bZp3ebd7wBQIULh/EoCvc4Ub43HURs9caV7LucI5V8WxRawRAiM8ZrASey5rlcsyxWiJ+Kcx+3da3g/QsQQwzCqT3mtBes672I66U72Cbt8/hg3TRa1i9StH9p3MwsLjmoj2MeNIYyatO7Qdug6wbxmHCjpFAs+eS/Z3/u/kfeQ6wCgnpvWOW0cfVDEfpFQ0lwi0aCfd3zcyaZ1mJ9nqkamhOvjBTevbvHJdz5BXCPC4DGfFxhD5tq9eqKtFgiAzUYXb0k9xKnrVjI/Zj5H9coUiWJVmjQW5kqVG+cCjrcnPHx2DwDIMSKtXXW7Vu3qCQyBAlDq9ompuw8OdaRFv20JKUbie3bzpVZoolkyeZgZNWwGwtG/SEpoYxJoFU3GohWo3STvqjC27tVLaSO6oaQlMCyBk1GxeiClzarQE71gfX4ACgcZGTuoHeqHAiwvr082c6n6ybOl+1xUXl2D1MqKk86r11K/UTrnFVrY3quDocWiG7R4LZVS1BRYbHaspUB5nVf9vJLcU/JoqSORMwCHYhtkpRrhu/LGPjW/Px+8QnrafWEv07yHsAg8SODMzreNSbgpvSqfVmy9JUVQflTWNGXhuEacHxuR/2MZlHg1NWHvB3zxi99WbrAoxqZIkCqyZXAqMBHXSEJdhpOa2vm69fBK2Vukumj3G38tlfiOxjbkgLPq/Sj8SSnmqLcnwFBR6TAKv9Cg1qa0CbyAIKlaYWaFx72argQsy2XBtkTlOQJoc9EaLeoJHYESv8Z1IpQPrdfIaoK17LtewIuCSW2iWj00TO9VpSR8uS5aJJM18ePf/AluXt3i/P5MhT9OKtzotDuSU0I2BvCOjmjXDmdj2A83ZhX8EAEZ2hcNSqXnmAolVSKUJOI+ch+sIF26edCjDqja3QSCqrWqJDkeSaBMocas6LleV6zzii8++zVM4wIbHCojEVLMrbs0eORUdS8Rjqz1Ft/6QcLh9t/Fel3x2elLhE8HVLHIkrMA1N0LwcN+n+ZRjAkxJoQQ6By1TXiIimcex8MJ4cEjrkk5rDYYDNOIh9MBIwfQWcQ00BRqnbMdwqZiSQe8O//Jna+msxYDW6FYY3DdNly3DVuiYvD1+YooEGTTRPkk4SaEAAkxbQvbHIj4nhNrCeYIf+SDfAUdWZ4VigMk8ZYhsNte0ITsJCICxx1asPYOQNOJsM6oMr6gaU73o8L+pDi8XEjoKwzkrWk4ERRIeM1EqWlWYkb34EH3xqpFLWMthslD0BmZi24lt7XX2xqJPcm2UIKR0qaf3bmgHuvCVZZzOHByu86rQmsFlk/XYdRKStZzKQXrZdF7LCrvy2VlKxCxz6PkWRKzw81BKRXqxz4nhZr24kcA1PddkVHWoKZWKCulFRaF/uE9nSNinUJ6Gk73LPEYla5/KQ1Si1pVWZUgonm3z6XU7N1yTAjjgJSTFoE2eXZaC+GkzjdrlbQRbzTnzAqsROsSfZKUEnuMtjjRe/Ke3hUOjFM4bQ8FlmQwhJGbB+mFgm1hznPzfdbGjJ2UFysfQoSGUtqYC0o2Ly997bWzbAxQ23kpZ478zk4gqDurZc5rUaj/vqEuZkWBqdB71f/873Q2/wYjhIFFIVZSDOxw63Jg10oiC4F9ijL7rwkMq/BmBDT4KwUyTY1OAql1XrFtMwQj3VcXJFA1oAU7HkbF7V+fr1iuTFx27VATsQUZUknygQ5v53mzrAWBk8oyBCSTQbzKirwlTXi9p2vIOaNE4qJIJyTx5wb4e5mgEFT1od/N0s0SiWsfdCORbmblrl8YAsI0IEwBwxQURip/W4th6Jrwn5pymbEWphQQLYJ97YoINNDmQ/cIem/7ryVlhHHAVjblJPWbWilZO5bee00Ggx8QhtYlHIZpF/iNI/FWVJ24FBQ0NbWUIq7zE6x1yDlhXa/02oB+lcBF5tG2RpinqyaLdqREfDgMLLJCm25dNhQQV7VKUGtJ0EgSVYCSVkl2hjEgRYIHk18nQzZKxcZeq6VkVn0LVD3jbk3f0dR56drhR2p1NCelk/L8/hmPjz/9fa3Vv5WHiAjIGn747BVODzeYz3OrGlbAOjCHWJTlWOwpNMhTSRmR550LLTiT0SqZMqe5sPXimhpsySILB+MFJFW6mOIVVyswhYCliho0V1+7oL4XC5PnrerWucAPTpMj7z3tozF3XcomzCFcJelIbPPa+f1WXd9yvT3XWfZP2QcFoi7BZV8ME4QCAO16ypACoefOlTEGx9sDTg8nMpc/z7h9fYtagbjSfhHYT9MY+ly1GrVkkk6w3CNjuqq/XrrB4Jx2NZsJN3czzb4ibQxB8SrotVQttfuM/RBobRiDQmV7H1Qyc6+YxgXX+RZm5QDFEwpBYMWFLUtqrQhj4H8PuHl9i+H+BwiHAb/9q7+BbXtAsYFVtTtxnpxhDaMfQuM0G2uQKrBcqbPjRw8f6Z76wSFhxOF0gGU7JestrB9QjcOaRjhLAZjwMQHuELNKt3cWwXk4Y3AIP8XFN55aHyTFnHFZV5yvs6IPSsq055pGY5EuvUC1nXOwg9HFJ0UhQQ5tC1nrvP3JO3yMo3JSEPzAZ1lWb8G+45NS3XWmStmLwmzLukN3SYDcw/9MNsrXlFjCe0J9DYdBYZUCxR6mgYTqnMO2bCrKRtdN129tozfJ55FirYj9yGi8dYse3VVKRVw2bEtUYa15PqPkhJQjYlxp7nvyaB+GAWmLuDyfYYzBeJgUYRR5vcneQY4ArREhCbDlzwrQz3ygdeyD130jhIlQdQxnD2MgyyWwdV0k6zTlmVvixfZ0rhS5iJgKensM5xzMKOdUbzvHe10lkcNSCJ0XpqBICikwACDUkyin9uqroHMyhEFfWwUneZ/0flCepKDP+jXdPzNjmlChxDI5R2zrglySdtpl3gHQ+Fx+JpxIuv9eC5OlZphKtDBpuJCQ5AARIgqBnC3m+cwJqQg3kcgk+J5YYznJ9TDWoZSkHuiSIEqnV9aFNHh6iDL9LlmRSFL+Milsz6yHOleNWel7XrvK+7Nlr0q7e238nWTzbzgkaDbG4Hh3xPH+iOe3z2o0LdAiUQgDGgcopwwLq8FaLnvYhASP67Kx/yG/pvO7B0XdPJqE0/GA21c3ON3fwDqD53dn2O0ZyxLgQ4APJOIxTKSQpkJDPIYxYDqOcF2FqVYiuPtCSdNQCZ6US0EeOFFMCTm2DSRnrjLxJKqlMFm9vRd5JAE5W11sPeShJyDT4gswLlCVsRTYnHEMBwzTqAFa4Gql3J7WBeVq1JY0GJWfgyuSvZKi8iuYq9NgCMR7mE6N0xgNbbg5ZeLdVMfVrCYDTnOBDrm0EZRWFq18Zu8HPSgrZ1o5EbcixQ0pk2reMEzw3ebxMhlGqcQJNg0yt80r/PBKeS7OOZiJ59oLZcTeA1XsF3rfS+usiiCQcBUVN7ZlwzZvmJ+vXbLiOfGRjRaNh8wVYbAQlhxYPngkQH1BraWD5e71Pe4/ffiPsyz/thrqkQnaqI/3R+o8M3dYkoZaG7xUhnSOA1vkWO+U94LaYPkANEGtvH5tl9BDA5W9kIXxFr6zWZHXERgsgAbVLMRTmwKJcGXDUDBudkl3QeaQVOIl0TTM/TTOahC4zqt2MF925PoCxzavuD7PqLXicHMgEQgWAqOOREt0ifsadB5H9soUBEl/zyTRyjGrxxqJ05CFhg9OIW/OUZHu/U8f8fz2WdUdl/PMwdMAk4ty8pAAmNyCPU1qoKrT27KRBRJzpIIjVVXbPYsQJLApXLwscJWoD7ZwZ0WC0cqwWY4Ba+0q1FyZV6VfVs4lBEdnkg5+7eBgI8Hw8pawPi/IOWN+nlFSQoyZ13ACmXlT4en7f+wHCEPAD3/tR7g8XnH76oZeS5L4Somms+RvWUoBIgekjIoYw4DD7YGUgnNBQm7deENoiHEa1OtVeJSR7UuEL6n7lCXfOCtFuhThrMUheEwhIJWMlEncR17ncp2xXhYtAJGeQrO0UAinFFUEuc6f1RijQbtQI7Zlw+XxgvO7syrtfozDWs8QzaK6BapEbiSh7CF/hKKple02EvGunfXwYWjK5ozOkLUsfG95vVozlmXDsgD+MnDS5tWKZ7kseHrzhOPdkTxlo8Q3TRhK9geBkEtBSJ5pK0qwryoLpwFQ4cjIRe2SqTFxvT5hXQXRI+cgwYW9H3A+kyqpsx5hGLFcK+YLJV0+DCrcKF152c93SJJuD6cObmYtCM/caznziUYkCqFijQdM7KVb4Yc99xRoxUdNRizFXqUT+pGCvx2py9tTE+Q5p42E58I0sPp1YHsVgjfDtM/hrEfOC58NRTt5fXxsrYMPk94nOVt6r2e+ZTzaGZtzYapXwrYR37eHkn4TvJR8YYMmYoK2sznCuwDrpONNtjy1mzPiU05dWGqseOeRckOUWUtFiBajZZhSYQwVTyoXVOSzkf+r0WRZ7klrVjVEj6AHUB1y3RdyXg7tdrKirfy390G9Nl8m8jBNwKsXRKusyfLzjI862ZQK+P2rGxzvTphOEy5PF640tYQnx4SUsm4IIjNdWE691sqy7k5hcsbQv5fLgm1dUWrebcZ6DWhiNNPxgIfPH5Rj8/TmCdu8oUwkQb9eN7hAYg8AEEagVqsCHz54HG4m+GEAoVIFltAqut6LHyCQc0WKUfH4NW9IwgdwBlk5kehEZaSTYvgQKAhhILiTgX71fqCkEBUGA9zgd9cBXex8qPNkzygwxXQVxKLWItqlcPuOj/UOlSv4oma7430YAOCNpevMiPekiVkhOgIvEbW6uEaApd4Dq+W6QJyGEIK+VttsCquRkRdnjKv6LwHERSilAN6wOpuo51UMwwGvvvXQpNLZkkH8/8g6xyk8UKwsaqXqJkHwkh4CsllSsJ5V/U4+t1TlJVgKDBc83By0WiyCIBKki3KqHES1Qq+xEcUpwdo2gqZb7/C9P/I9vPnhG5zujz/fov1bcOimb4iPEoagtiMSpEtiVqtRq5JaKwueUBdPft+NUuhgUavUHQzOMo+NBvmysggVB0598cIY4g6WtR3wInQmgxAd9O+Yk3afbLUcTLRAx1ryftWkl4OVWkmJWRJNgDiCK4tfuK6jUWulJO6y6GGfUlY0iQTt5AfKHKoCFe/oOa0lU7ZN3Sau/ObaLIfGVl3P3MUHKMmP7EFZRSV4ons2nSacHk7U+ecENaeCyLYmkM8dvFoeyB4lCA1FXGg1gHwnpesn9zswnLPUimgSAIdUCqpvxSKUApMbHKwwYqKyII9jJETOxIEVDlwtRfm0wlUrOSMl2i+898ixYLlcVEzIWENwWO/gMnH4nXP6+V5/+xUA4Ce/+WP8+p//dQqsYsR0c8DhNDG/vAAbFycsJQsxJXjXd5KIc3e6PzV+mLfwwwA/ehyY/yvCPzJvUs6YY2SeJcn5p5JhQQmnzOtcKnLJQGWOlw/IZUMqBfO2YbksBKnjbqgUXkjgyPHaawG/FGwBQqwY3zwchbcc1w3Pb5/w9PXTrvD50Q0+82spiJw0nk4P+PSLTzGfF7x78xWGgVRBn5/f4nC4QQj0PG9f3dH6v5CYzd0nD1jnFXef3OH57TNqLri5v8H7r97j1ecPmuhfH684Pz3qJVAStaFc2BObYzO4ihgjnt89YToecLw9UkzG+1XPlxcfYqGC5Jg0zgEYfcHreWNroNRRiBrKo4my9PDGcSTRmvP5HReVyJYlpYiULi1+2TymfGJ4pWHl+EH3Uyn2AyLmZjFzt1CSZClatoIirQeJC1ShtdDeSAV76H5IRWQROnpha8Nne09TsIXjYLdXt9fOKaOjKovfueBxHIIiWAg1WFCNUaTXXt9CoMBUlBeYOu1z+YNEUwoS1jakoTyPzEV+8d/cN4Q66hUkJ5BnGLjAUWFMgTEtAZTrkyCo1opUNpQqKBXieDrn4DhxTNzZtZb4zZJYW2O5o5nJRm3s7JasQwgFy3LhmDLvrl++vmxy9dYpu2f5orFBHeUCA4G/sxVQGLBus/6dzu1d8toVLICdD+nvZ3zUyaa1Dl/80hf49HufIm0J53dnsopYmoKjHyixcLUJSzQ5dqPJB32DFmXmhUkQEbYO6O0FuwftbEApWRPN+0/vsc4rH1hkF0GvE3SzlCTSWuKN0nUSfCSI9QBDpkRBqooymkXD3vGQTdNxMgNU4EBwAPnMNkZsYGhoaiI+rUvS1B198HCDcPn2G5d0dnIh3009wCtgvYEprbJHlcakXo30e3W3uACwjUHWBNJz1426KYxR588viZzYTqSYtevSlCOB6hyszwpFk0VOEvcNpgdIZ9rqxqbVPhEAMhYFQr7nxDUMSkQXYYXDDcF/IhvJy+d0weN41xsTlybSU4mXQtX2JtCTNuabplZ5RyUe3HgYNRAl0/eiarkCf+3vdT9EYVl/ieeSJBXC7QXImPr6TF2hcSIe43z+GVLgfxuPBoUnZTmAvV4NVCWxK7vCMS+GDm8HI8F3dvzcCCJmGMooh5nhxLTBrZry6c++tlZNNaZ1MXPMeoBPIWBLCdtGkLDKyrKSZMrrANDiUGZrH/qszetTYEbSZRDYqnTVAQrcrs9XhdBJt0HsS4opyE8ZcYs43Z1wvDuqciMlqlsLtKyYmQu/WsQ+nEJrXfAIspYqQ8rGgCmPnOQmzOeZFCxB1h9vf/SW9/qqoLq0JVzSBYfbAydg3H0uFd5aTXA1IJPuV2IV15RRPME7aUsqrBDOKBNW9JbAj56tgy0W8NgJNXnvEfNGZ5OxXE1PzfuTE2RrDaoIezmLWh0L7xSkdcM6F1VKHqZBz7Qwknfcy2f4C3/iF3C6P+E3/sJvABWYjhN8CCQ4dF1xvDlguj3gyAVTQczQvKf93g+BVH0DBdc2OA4SCwCGEYIKMEuOCN4heI9SKYHcUsTqLKYwwBqzSzIBqLpsrcCWC95eLjiNIw7DgJQzLvOiRQDrQF8FkcLtS8N8fhGq2vGWteME5eYulwXPb5/x9OaJ1jx2R+xHNSR43uIKay1Ox3v8N/+pfwK/+hd/A7/0J/4g/m///L+GL37pO7h5uMH/41/6V/Gf+s/9adw83CCuEX/qP/PH8dd+5XfwJ//uX8b/9n/+r+Af++/9V/Fn/pk/i3/yf/Tfxr/4Z/4N/Mq/9yv4R/87/xX8i//0n8F/95/8r+PP/X/+PGqt+NX/76/i8d3bbh9qnbRtmxEjIYu8J8XpHMnOLMeE08MN2drNlfU5MoBmGdZ39wCGEnJcEpempKyiVd3vEh+aBIiGYST7C0fCXc/P7zHPz3AuMBLKfuC5SF8pmRiGUdVNa62oEwkFybC+FSlLppgosAicJMY7X2BLsUFhTj3RNUYtrmiCai0qJ52Ru5I5N3j//lr3tioyvPcqcEk8VOI1p40F30C8SBKunKh4t27E67QWpRjlMhIctVlHyR4vdlUA9B73sRidDzI/KAYT9eK+4F/r/vPQ8+/4/KjI2XCiGzS+A8jHk35u+To/XB+CJKGmQ9LXLCXr9wHgeLwlhJsP/Lwcn/H0fsT3LPt52n0VgaF+9MlzfTGnX/53/71aE6z1mlv0HeYWwxNv07Ja7cvX/HnHR59sDmPAT/7aTyi4L41rKQqFggm3fg/bEYI30Lg2kmQCaL5xng74fjSisGfu3BEP33qFu0/ucH53xtufvFXuYf+eOkFywTavMDDUyRwDczxbFSzn0uTJK2CDB1jBVCAlAFDzHqomB7eq55aCmgiCpNU19hDzwSNuDcqnsM+YWEBhv2F57zGeJlJ5DA7GsTGuJsQUtEp4p91OtlxwoSVSvbXIxjBl3QSdVQiUqih6kVI3GA4jb2QOHkBJDoU705IML5cVcYlIqSn/AtSBca7BK1LauHu5sWoYcTTH8cAQ1EDVqrTt1Ma2jZR4gz/BHwaFWJOYCqlE9jCG8Tgyjwq4Pl0pgRMlZTWSbsqlhTueoqxXclVInQTItVasLHDhQtDN3XCgmmICKol2iBH8LrExRiFM44Egi4k7Uyt3Du4+uSN1yVJx8+rmoxbNkC4iAFWfNWj8REmCAFYTdUY9Ei2okLOxPUgpBcM0YJhGhnI3dUOCvrCoRanKl+3XIKmUciJa2vqUg8MFR90tLrBE9tzsu+kAtFstgYLsDcT9M2oVZV2zPckpY37qlWXp2krOWM6zKnFLRyhMQSvnspkMhwEjr9P5eUY+tHUHcCU7Jpgh7HwlpTBVKyXuhj44JWi8f7S92WHwzC/iopJwFYfDgNvXt/jp7/x0b6VUDdbritP9iRI24VNZA+ebGq8UA6j71RXG5HzgeSHImMj8yH4u9b9fa0XdGHXCSpWS5AJAKu1vZci9Im9n2v9yykjpQpDlTyuhZI4s9sT8JuvZG9o5Fm8hu6ov/tAXuPvkHo9fvUNcI+4+u8Px7oib+5udz7DuWYeAYbp5UXVvc9HYVvzgT42aM0oxSLG9jrWArwQ9lv085UICfVyAyfK7hv3mOJm3lrqhb85nGAPcH454fXuDJ+8wXxaFhAsVRkynC+9/tVZaP6o43IK0FDN34Vdcni54evPUOg+moXM+tkFJE58bLCbirMF3/tB38Bt/+Tfx9ifv8L0//D2112qIIIcf/d5P8et//tfxd/+pX4Z1BsdhQE4Fc4z4B/7zfxrvfvIW0yA6Bk5tQS7vzwBeJgl7DnrOM3L2GMcDIc8KQeSf3jzheEvQfLFJkjm3XBZ1AAgTKaajkL9vZD/gBhts96CP+SoKJZTTiHGiTulyWTBNJ0zTiQUFZ2wrq+8zxB61skp/E1qjBMcqBUHQLIGtsaw1iBt7hFsqqKXYw5W5Bmhp35Fu7HQyWLM4KxhsC6E6JNnLMSHGqGqm9JyFKtM0BV520CS+Sykpr1aEA8WmLqcC66BngySHw2GESx52dQhhQhibCI+8X62VEVa8mJirTlx7/hYL38lzEWGebWuoMkEfafLXJZhCFwMLEznrOn6mRYzcAeXrjnwfGk+ZRKD60Yvo7ER5usRRdEEElkuxo8B56at0noW3mfOsz4GOOuJRvmzC7Joxpex+1uZK3aEsJb8wMDgcbvD8/La7fuls4xuH7Hk/z/iok82UNvzVf/c/wnKddZWGMOD0cMLN/UkPHgnSRJCnlr7VzgceV6urpaWqnnlWYED7qpNxgTa4IeDuUwrIH796xNsfv1HRlpdVg57vJQR1P3rcHm7hPW38BLHMOqmto0UUWYgjS6ekCygJSsnJCKuIkZdj+5zK+bEWBgytSBm2NO5D8xtqC1pkowEgRoeUEg43RxgzwNmqnyvG3FQEOcAtFrv7XFJBsUWVasW8Vq7NdVALY9oG1OC2FsM0dtCRBsMd+J5KMkuKu6XrCDPEhDt/OSdVlKWksHkWyeLMmZK1ZCKsdWr6mxIJCFyvZFB9PN4heDp0xSCYeDDNW0mqerUyD23ZNLkReFzk57DzTDRGuxRxcwoPBljFLo1qR1Jr3Qk2yDwbAxUFqm0S2jCG+QUM2XWkcrcuG0GkzgtO9yc8fP6g11MLwc0/xiHQmjB47qrs4eK05tuGLAlI5S6MBCDWNP6XDBHQkucmB0eD/omgBsHflWPWdUJ3f2cEHki/k3IzL1e/VhHjqVU5KaqSWFsnUywGfOgV/5pvoiAeSqm4Ps+Yz8uOU5hzho3kk+e8g/cO081BYV4ABYTzeVZlReFWlkKFJum89fe8KTo2SxTpFpMQDHPZGbbmB69epyUXPH391ISKunVBdjIFcdngbg6t4LVGLhwaheg1pXGjlXpSP7SqnmqNUVXdl+rZfZFR/etcs1eR5LRwAaDmol0O+fvAarrizyscVHndUisjeUhRUVRwR/b2k0DYeYNh8Hh+/4w3P3q7g4mTjzTxzYgTnxQml3NlCoAFqkFlmwUqYgXmpnK3IRflxklFXROJUsiuhO9dLgUpZ3guVloj1XboWog5w+SIeVn1ecct4dP7O3x6e4v3zmFZN+pIc8HTW6fPZ2MaTK2VfZqNcqII7QSl2+SYyQat64DJOvzYRmGfU0lEvA/4N/+P/xbm5xl/zz/09+Af/Mf+QXz5219q4Y0QRHQ2ffrt1/j0e5/iX/pf/Fl8/aOv9TW/fHzEv/6v/L/wj/43/mEIauGyrvj1P//rAICnd3v+a59ovgyst3WFLyRq5SYRWZwx5Yrj/VELCXLukXIq6TVIUU9QP7In7tRhQQW0YgtgM6w9YDiMqvswn2cYY3DzcEuvHzMrvY6k/2CIh1drha2eLeDo+q11WkgHOsgmxyCy59Hv0r6yXptWg3CMycYlIKdV709cyV8YiSgOoqRMIoZJC/ClCJTV76gZfTxVSktO5Hst6S9IiYrmTlASHAdXxy9iq9IcjrdH3mNjs53j2AuArqO91/uHg5IzojDFuO5UYOXie9G1CrH8AH9ep7ob7cwsu9i2zb0eTcGCPcx9lEGKukaT0X5fFnFN+T2BKAY/oKDxPq31qCUjhLElyqS0tSsuf5BoVguY1vzqO5kvE1LNFXhvK7VgHI8Uk5Z2D40hpeBelbatPbtbh7+f8VEnm7U2kjFVw9ko96czzu/OmE4TDrcHjNOgyaQKoqAFeKVrdYsXkSYoEhB2UCgAONweGCJ2wHgY8fj1I959+Y4944hbuOvU6W7U5PPDNODm4aYFiCWjiIiPMbqKcszIW1azc+mGoJv8cdmwXFYUIf1y4FDiPuk1jg50Uy1yFOPcBGsbf7GWishVn5wSbzSO71HlRAkwZiBuS85AqQz18AobrNUoTHhX0SzkRxi5Uws0xceeb/ByMYI7fSI8Yr1TNdAtEedGBJUkuUupqenVGNmb6YJ1uWBezrugiJTgOPhxHoGhCKiV4bURBoaFAw6IccW2LWp5cn56xHIdiFeVG5TbeIPzuzNqKeq5aQeqnh5uJv28OSZElpHXDTUXDaYHJuuHqSV8wxjYeqIFgQBvQBpc7wVmnHPK+8wpA0msMqxKwB9uD7j79E4Pv1orHcL24wzAaL2T0FL77+aVKYe2GNXLoeRYit5Y7O5Nv2/vVGut/eDAkMQL4EMH0DnZHwCyj/TCD9UShFPmfOXuvx5MLyGKnNBId80Y8PwKCtcWP0VSk+bO6bpRRzNSclp536yZ4P6iwD0eRxWW2uaGVsg5I52JdylJp0DlqQjzwsQ8Z1WVVFTClloHC1LIsrDdGnbO4nh7wM3DiawUxoBt3nbdL7onrGzrrRYUapauauXCkdVuBCk3WxW2kWfXV/D7Z2qM0S6ZMQaVOxla1RabEU4YSxFkDQu8scpuGAm2L5yz+fmqvKoovnrBki0Pc2ZLzlguM8FcHal5fu8Pfw+nV7d4/OpRrY2oa8uqkqWgGpDIXKFiREkFsZKllKiPiwhW3nqEQx/8VDjvEYLTgBYAUkkKmXXWIpeCNRIP1BhyiCsdGnJNETFluJqYCkLnWlwj3jw94zufvMK37+9x3TZcVpqvwp21hhRtT+OIcjpiTQkpZ01G6XoyNkSUa2WtAIPpNPIaoecRt48TxUFdFg+xM3HB4R/4R/5+vP3qHQ43B/yFf/Mv4O2P3+Dv/y/+PTj89/9xfPu7n+HP/rP/V/zhP/3L+Ev/9l/Gn/83/wNCLwwD3l7I/uv95YJf+w9+Ff+/P/oD/Mm/+w9pIeXv/Yf/04Ax+M2/+Jv4C3/u3+8C5rZXyhnsrO8UXCkhI+uiACMq1akQkqIUPcNEEOry/qJcYuFBA1B4vBS0lK8ukPZxUDGxbdmUnrDOK0Tjw8HBHR2ASfdJsRwp5UYTCYWPalHSamFS9gRR3w8jQW4JCRWlX6Ieubofdk0K+R5BgyPsMKras+hZqAKvtwjcZRZV6sbd54Sc3QjkOaiFjXDEi8e2bRjWAbev73C4OUDRMUl4qAaAQYpm9xo9mrDfH4U/3ntGSzeTLHhy183k/bhK/EJJk9yL/vXpdRIAr8Xf/ln0o6nBcmOkFFTDBSnj2PeY/ZJLS5Jrpf2VOJXE3922FcPQIOEitEnJ88Lw8KBIgr5TKp/z5aD4zXCCaPQa9wUCp7F2X9wQ94hxOuFyeY8PXl4m2ouk/+8km3+DQYIWJPMr4i3GGKzrFet6xTafcPPqFsdbMv+GaZ0BAHTICVnZGmSTWXbaoHgHK6bYyvO0ONxMOD3ckBDF/QnXpyue3z5zlVQqP0YXv36V9zQkYnH36R2GKegGu1wW2vy8h5cgLRVSAltWVhWDBkg5FjYgTs1/U4KoripbIYEs4Ar9l0g5W+9gmadHlbfWzdC/Z0ifNY4rOgYuOURDMDtKNilYOtxMOpGlE7ALmA13YLakYkxSfbTeapROwfNelZX4NUmDwcAHyLZGUgzekgprrNe1dS1LgXWejYBnPD5+hW0jc98QRt3g4rZyBZI6m0OYID6j4pFEwaFs2J7ElUDd4For1nWmZI5hGTFRMn59Jj7x4faA8TBgW6tC18YjQS1JVXJraqZ8rwqLIiznGcZZHG4OONwc6CBmj6513lAei0IPJdEIY/jQMoMTfu2EcaAdVzrgp5sD7j+7J8Nz12ClaYuq8vwxDWNM86btuooKTe+tNgrVU8XEW5JFPwRNKit32E1p3Rj5XedYJdDafQJkumvpgiQA5JXYJVimMtdc4OC7A94y8qHsOnN9wilFGrCNhni5AhTMxy1SUY7Xb07sQTdvVPhiznfOGS54nB5OGpwJlLU/yOTQz6VSYYTvSxgCptO4u49ZAxirnQApvjj2eyvcfUss+FO7zyuHvGV47Wff/ww//a0vW+HHCMXCaAdkONDa3iNhmjiTmI0Hka7nzyNiQf1z64Mq+jv7jfDanssjXU3Z2ySQJc9myx6bEXHd9Od8Y8nDMIs/poGtNLcEwDBMAdPNLabThPObJ7zhbhRtL5wIbhG1EKesVELVlEqd1IAAY9g0vpAI2TAOsKPMXZBhn7UAozKcc3DWwRjRSKAfJ+moGQNYi8zQLsfIIpRCiWEpyIXmlzVVr7XZOxhsKWP0AXeHCaP3uG4srCR7HKr+2/F7SpFXoM9iE2YtoUf6+dp3ZT+2QXPVQgRdLs9P+Bf+J/88xvGoxVhrHf5X/+N/AYfTEdfzBaUk/Pn/5xnbtrESJyGo/nf/s/89lusF/9L/9P+AWjP+3L/85/Bv/Sv/b2zbhn/6f/jP6XpY17XBT7HnrVGM4LQTVwoV9BKr5JK69Y0KNuacMZ0mPeuXy9J8aBN5EodA56J1H/IFC3cQnbdauF2vK80FT1zCdVshaAHvnRbDZR5KEQ4eO3TSzltZhN+YNyyFJB+80jRkPdPZwz7PjNCQexQGciEQ4aOmGj+obyfdTPp7y/dXhONUHFKEgjIhO1LcsG4zK682VVdjrCZGIYyYphP8EOhc4ATWjRbJNhRAKUVtrOTzl7zvzKFDA4FjzpyJk0pxUvOfdNYzlFXibkqsCsoH++yuO4h9zElznER9RPQH/HtNq6Mp25LyPigmkrjdGEzTCYfDDXLOtEbmsybpKTm9X1RMiPDcyTQcCwvtqpSi3Vf6vA2W21to9Wv15b/1LEMrevdDfn483uJyef9NGwD/vdHcoP+73+/4qJNN2ghkg+JAgLHg0glLKeHydAEAHK0hGKAl03R9kJ43BkPJXMkW2WSYSpuSYNV98Lh5daOBvsBuFLKG1ub/WQ/OO4fD7YTj/Q0G5uyF4LGukZICZ2EttdpTTigFiNumEDwAqvgoKru7QNJYqtCA4Ru1wlSGUPRE7FxgnaPgpFtochDJwSBiKLp4aStD5utx3sM5Uj0EgBSDdnCkc0GKm/LMxKKh8PPJemjoJs0bsHb3StklnlL1t464CiTVXdRjrSRKHAXmYKzFts24Xp+pALHNEAheI49nvqYWnOeSyGKGoR21EvF6HA6wzmEYDjoPp+nE8I8F61rIw4x5AylFRE4exzxS54gPDxH3IGhx0aCcPmsLLCsfmCYXnN+diVNymnBzf8Lx/oTTQN6ny3WhzrM1cGw7kF9UFiUB6uesqBgf747adZJDWrl4oKr/xzbkvkzTiQOB1gUmr1NOuCXY5SB1HEZ+bpygeD64XINdCl9YkqdaCWpawAmCqvZZtR+hhIiEY7Sia/cHqxjaA9hBbfmXPqhSynoRVd3Eyo3DGNgfjNbleiXYVgUlfHHdsK1RgzkpSBgD3H1yp/OEEtFWCHLeanchxaxCGZJUivL3fKZAZZiIJxS3hWH1HrWy1U8X+FO3j8UPStEurhRWAPK1e377jJtXNzjeHnH/+QMFohtB4ET5UiDkpLgoyI0enrS/h32g3N9/ugcSrLUgRZ/hC4SGJDPSmaHvQYtp0plIKWE+LzuuTSnibyqCYQ7WksLv8CJhOnCB9f7zB4QhYH6eFSpeclbIuDxTWz1KLKRqaUWWv82fmoty4MI4wg29VZbMMVI8V4SNBbgRgZwL1rqpMBAdScTwL6WQvQnDa+lZNGqGFIgl4J+3jYq2ISB4j5MxWGLEGiOsMUiFuiEAFLI7durjABWZBSXkIAUAswtAP8ZRSt6hogAwNeS9FlZJYTRivly5SBYQY9Q1ImNbVljrkVKEMaRKmhK95rq0wmTt/BjlKwXopFbaF9zoPTxIDZT54qXskq2cMsZpwOXpymI1VGQdhoGTmIL5vGhyJB38WugZ+yGoIM98XjQpjVvkmKpoB0r3/Q4e28cnJjehSUF8oL7QCSnAtq5azBwm4nYKpFb2/TC0kF2g7rRv7+9fPxQS7YyKXUpMVQXeboCaSPAurhvEu3QYRGGXioDODRz/UewiojOytwNQn+8weFTvCAGQONljmxSJI+X7u3i4VIbqEly25KRJjzUkRCSJZutYZip+wqr4Wr8fS6KWS4ZjOF1vCeI9kBJQKwn48B9yh1Jidom/mp6Lcw6Hwz1CmJDiBuscvPeY5wvevvkR1nXmhDlhGA4wxiDGTed3zhnrtrTCXloxz884Hu8wjscOWtsoNrajn/Xnnvy3dF/7RJPucUtWY9zItscFVZyWzuzL8TJp//2OjzrZHIYJ02nSim9ORW0LBrRqtXOOYGBPBrghHoxWuG3jcYj4hLGV+Z0cONWKMHjcvLpVj06BE2wLVYXIMHrfmZBKDhiK6LzD4faAw+mAwy39fQgB2xbbAubNIq4Exy2J/SdTAVCxcSVbJlreKEkyaAmj8P5qBRuAFzqyrRyylFShsAIaKtK2n9jODaiVK8vsAySwAo+AUio8v6co+tUSMEwZCYB1FXbgg8lQy1U6KhSAJk1cRPkTgLb4pViwqzBB7CQoGC8c/ORIQfB6XZFSRs4Jq5r7BszzMy6XR67YWq2aGUObeDXt9YWraZmMLqpo5L+UeCEzvMY+Y2QRAWMMjsc7OBfw/PwW63rVZHMcj7uqaNwyvPcKbbk8XnD76kY3KGsNUtrzvwR6YyoH8FvCeTtjPs+4OS949e1XGA4D+RXy4bCtJCLQeHdlF7iLGIvI/htrcfvqBi54FYCR8RKO+TENQ5EyUmJFXgmgmQ/ogld+UIPbUweRxJmcdsJq7WBMXeFJ9qKSC4pUn0vr/vMf7O5x1oDd7J8bf/XOEV/Tkqqx8w41djzB7vc1SeWk11oSrXCaBALrsjUuHxdCyIqDuokKsQoe03HSpFXniSFBC+roOeVthpE6rpELQdsasVxWldC/vD/DD0FtOYyzbJGyl2YnwaUBxpAqs+XOodx7SXpFmTXHrMWqm1c3ABjFYhqE6INnJIUZCSqZZyQd/lL3h7/ANltSBFTHW5d8DwaBu9SlVkTtsLSAgtTPCaEh63ubyT4G1mgHw3mH6TTBPZxw/+k9jvUTwBjM5ys9G+dRakZcSCjq9tUtjqcJ18uM+bLgdH9E2ki8yg0UOKWUFBLHiligTlODAEoX23FhCnWF8+z/2yUgFNAYFe2whiCzQk0ppSLajMHRHrwyLDuXgpjonKIkvgX2LxO/Wkk0aEvN+85Zi6GHOOeMNSWFmI8hwFurHc9cKcnIKetckwC9L+x+jENQN/Q8siYXGsha2RPcB0FuH9S+7LTovzmI332PhwTKlnmMolwqv6fdP+8wHA5arEpxpfXPBaVt3lBSUeswOd/6obZMMWFwA/MgvVqISWx1uJlgeO9IMWE8jBp7AazlUStqyqim7GCt4l2NWtmWxGlyJYgIEmKMBJdlCPx4muCHQPFctw/kVCgmq43e5bzDNlM31xhgSwR/HYZBE3DLPE95RlKkFoRKZVh4jm0fN9bC2YAQJlh7q88z56K+4jmTN6Q11ECQ/XBgxAVA+ibFFrWekXUkcZrwOI0h+kBKZCmXUqP9ALxfGqN8QrmPfXHEWAdId9IY/b2XHUCxMhOUWvOUTyigOA/dXBUBHdRK78FjGKbWVLDEX719uMG9e8DDJ6/x/P6ZOpdxQYwrjAmaHFPRSoqztKZCmLBtKy7n90hxw+F4y9zQBGTLMSY04bTGqR2LNQ7VFGr49HEDmohRQwoYjOMRd/ef4enpa4hI1Mv1+BJ++/OMjzrZNIY96IpnQQnmqQUPM7RKulQ3SilcKa4NYuH9LuiSYEQEdACaZD54IszXqoIt83nRToAT2BcAi/3h61iN7HB7xHSaMN1MXNWz2LaIvGW4YNlDE4i8ITVFyYr56YLL80yWB9wJE/no0lUrpLJsWYxBE7XaPBk1ceBkjn63Vc91c+2CVZnIAFUpyZxWOglUjbdZqjMFaeWOgcsKlZVO8a7IxRwyCcQRnF6XJJ3GkagREiuXGfnbzF3MRAdSyohxQYykMBvCiJITnp7eaDezlNzUy/h9DAc3OUuykal6VsRQuGjlqfEbPFetZszzM7Ztxievv4Pj6R63t6/5ewvEGPhwuMV4GGnzFUlxFkoyxlCnkgsYfggKH3w5aiERjsqHW04ZT4lUFB8+e9A5ap3DMDUFxlrRwRCLVjb759fzXOiztm73x1zpl6RAO+GGuvHGWuVwCsS8lALr/Qf3Im4Jw2EgaCoXl/qK4ctEXex6AOxgV990n60xgHTBu+C6JT5SETUt2Cn7AK/v1OZMSYvYCOlnWDfdc3LKDHntC1AW4fYIH3xTRgZYPbt1L8XvVqyJSs64Pl5xeboo97D/nPN8Qb02u5/b13dtn2Nuac1FlcVLIq6lc+RZbCwU+SBQseU8EzSO93PpGFThzeq1Cz+2cbsAsYOpgOM9nJEwmf9ucHa3j0mXU55J/9/yvcF7JE7aBUom3nh0zxsvUfikvZ/gdJpwvD2QwNiWYL1FXjJKagIoOScS++I5FQ4Dzo8XQkOcF9hgVZXaWZrH02HSZGsFQ+lE7K1UWFs0AJPgLuWCdYmw3mPkomKWZ8DTV84NYwSWzrCz0iDI17TCmKlBcisL8uUM5w2coWREukuSmMeUYW3jmk3ctXTWwJmWvCSZ90Y60QbOVsxLVv6x83S/KnugynBd8voxjVxasrhPMr+Zj9+61xZ4kURqHCHfkw4m2yz0PLM+SPZeivN9h4qRD8zpBholSPZGzxxm46wWSMIYqDhz3TRg7pNj1IrlOmNge7nxNJFq/NyKi2IX4pyFZxXWDVAEV/+ZS6S4IIQAM/TQ0IJSpJNGXH7i9FMxMrNoo3WUNNfKVnhcdKYCWt8EMQjsUkDPq2mMeE/6Dca0/b0VA6rCcEVrYFu5K+0qrB1UAEwUVGU+aMLiHByaN2euCRYW2wa41WOY2M88071zwSNMA9IWKblmtARA51sp1H2OcUFKbf+XmWMqtIFC1iRtbfccR7pOqwmiXLcUSADugrNqWZ9ACcSWfofivIq6i4UA6jL2CSdAGi2oE57fP+OrH13w+fe+jTAOOJyokXAyt1jnFY+PX/E99zCGEHV6HyzRtsbhQIrbKNSUsLc4HG5gjeMEP6G3QNl9hi6WkCaZtU0gjf6bXBRCGPHpp9/hz9vzcrPyTlXMiV0Yfp7xUSebAJrioMhYV+JU9Qvw5VivKyl5sqCFBJe2k7TuTkyFPErg7oLHzBYAOea9IIeBBhDkc8nJ5vFI7zeRl5RzBjlXbPOGYQoIwwBrgW1rSrKWuyTXxzMe3zwjp0icGmOQLmIwy5UMUKDkHCXFRqwbuqSNiDwMbVWBpKJVMQCksqh8Io+SiQfh2ZurP5BkcsuGLJ/ZOaOTuq9W6t91iSwADex98HAM6QM+xPzXLjmUgLX5ShGpXCpx9L4J5+d3utBQq/ItJWhyskl1ibWMzJ3MnOPu+psYQAAlqQnn8zts24KHh89xd/cJDodbhDBiXa8QwvtwGDSxRpdMpi1ivVo9nKp0nLe9F5JyAivBcuT7BEecqZPx+pYDxw0+UCElDF6ri2qFwQcsJSYELZID/mXAqF3Zvw48/G/rYaxu3PL5yCycYVQxNQVB30j54HtiMsHJjTEwvh0AQHeAM4xLg4JSAUPPAMGTqikaV6xWs4fKohV7xOJIEh85RKursJU4cqI01wddPSTRd0qtzhPvOXfddAmC5J5Y53C8P1EAz2tOIGHiH2q9QegCoJxI/OL87ozzu+edGq+MJlhhsW1UJNrWFeM04XB3xOHmoHDTbY0EQbcG4zRgPE3YlhXjccRwGDolyqTG6oebAy6PF5QsPnZUJfdDaF1qTwkYdRXakSkoDLlnvQANAOX+5RdcQeroGe1MA6xaWwpZnAjMVhTPpYDgLVKCcsvG04SbVzeaKAuKQ7uqpXB3oSKtnX0CJ32n+yNOhwnPueDyeNZz0jgLbz1c6OYT++u5wROfayMuFnIFggVN333xhKzFEuJmdP7rGQiDJFw0OoJIrKgUxDUhxaKeiatNGJyHCHJZvn9OZP2Zi5pi0QKYnFelUpdzQbu+a1zgrIV3TgWIvqk7Kgm30D1KYtjmSHOpF2L7mEYpxJGDoe6H6A0INK/WDGtlbpI1A8BFCNO8AbVgg/25QOdr07iQJDOEAYebCTevbjFMA9786Oudb7MxJIilHGqQAF7v1Si0pbQlXN6fEWPE7cMt+2eTQIwxDiQWSTxA4ckBhJpYrysLfhHqa50XKlzz58y5aOdT9jJBTPVzSGCy31RMFM5+sIRuygAhEliXQnyHPdtN9TGYdF8FWbPNmxYaZb+W3+EL4OcjRQOzs5aLbCkl19hg4w1SLag1QuxQQc57iQf2xel1XnW/kgZG4ZiFxPIKcibl/JLZHSDG1s3Eh9DNSm+042n2P5fPJ98zhgTI9OO3ygXBcn1gtF9Se5AKEWJL3XvtY6zCXVAZMn8AQtZMxwOW64xtifycC96//SkA4NUn38KrV58T8uc04fp4wZdfUuwYwqixJsGWI1CJmz7PRO86Hm5xPN0TMm+9IudN488+Du7n4cu4hb5H8PSUIsbxiFoznp7e6H2ttWpCK/9da0WMP58ex0edbBpDyniOFSJtZTlh27qZQPcgatWkZjgMKsBBPzcaeANQz0iBIApcDqDu5/w8q71B3AgoOmxFAAEAAElEQVQaJp1VmfQAVd1ODzeodlJFP9kM1ucrc2go0UypqHqstRSczE9XXJ5nxLgwZDVxkBtZ3KCJYhCkwyGEAd4PRLj3DVLrrCXJagN49mX07F9ZuLIdHMnbl1pQkkGsWStLffLe31vxfJSktg+grIMS3gGGbpiKylYyPZeLvAPbe/XPTrurzpJ/Jqv+FoaC7pIy/vt5PmNezjpXUtkgPKSUIkN4iG+iSShX9ihBFNns1v0qfOACgKh+yXtu24ynp6+RUsTNzYMmnJKsqoXDGBROU0pF5sNsuSy4eSDLHm89J4NGi8n9vDbWaFBpjEBhIy6PF4IMVhJjcd6pKmdiASVrCdqzcZIuz0W7P4Ugz77UPZT2ZxRvPobRuktZg55X33qFMAZcHs/4+odvFCqVYkaQtQ5B9XwI5en/3ZRQ976NtVJRxQcPOIb5NZR8ew0YKuKAumzS2ayc/FRnUKtFNQWUQ1ktSrRroHlLlfbGS6uVYGny39u86d5WKwUR2j1YVlW9NQDGaUApFSsIwu4ZcbEtG5bLQlA19pvr74t2EWtFSUds64paSRQn5Yh43rAuC5bLEUdGhHhPqq7C0ZabVErF4YaSGc+frZSC69OVeUyucTtf3Fji5HqYwbDCYqZE1LeO/suuZT9yF8T1YgvyzHo7j8zFHgAMUeVkrxqF1NMcIS7t7cMNQ5WzBo3ybxJJKkhrJFioGryT6Jv3DsM04unxGTNbpfgx0PNRjnjVwNdwMulh4U8TyrHqniIei9615FTmRslVC39hCPCeBDbkDJM5Tp+Z0AHLZUVOCdPNgbrkJSE4h1x4LstZBaqPSgdEYOKlkPWFqNsWTvhTyQgMz11ipITTWhyGAV5g0KXAW4vjYUI8RdrftKBMRZMwEp/Pnz/OzqYUDal7kpmX13hsBqLs3ILjfuhex4npNxUgjREuusfh5oDT/QmHmwOsM7g+z/jyt7/EOi87+N/hZiJ4N8dn0vGTkGo+L7g+X7Et607xc72uuHl1i+e3T5ivz1jWi57RInITwoBhGDBfKB44nG5gsmGuJ9vipZbkbMumwXcIk/L21/XKFht959VTdNDtsTL3BaEkZ68UmKy3usdapljRS7TGRswVLvAezB1SEmhrEFlpjuz9bsFdvaI2ZtK9kqQ658xNjwA/jBBPcHnuVLhPWqi3XJQBqNhO1LUAYxj2yzFg2hI8F7ifzjO2pe393g9w1iOyn/k3DRLqc6yA/yEUu48LZZ8vLw7MiqoNEsOWShLPvZyrfTz7TT8XQaBjOcA4i+PtEWEMOL8/o9aC9+++xOPTV/B+xOtPv427T+7w9su3yDHh5tUtXm3fxuPjV1xUzViWK56f3yCy2jIl+vRs3r//KabphIeHz2GNZQ/4DULf6u+DXLMWoHs0pWtz1VqLw+EOT09vmHPdeYa+EAj6ecdHnWw65/GdX/pCqyfrsuH6eFUzXQny5PlYS3Yjh5sJ1jkyEa8UfDn2mbGdWIYMVZvkBXx9njUoLYXV0NYmRkP/MJgmqnAMU0IqjmB2oEr6wvYCJMZCiWbS1zDkozRvFKgxmbqUBPHvrKXwJG2BY4oRFRvW9YoQBt0gRFXVcfW4lIo6VrjBK1TIOws4S3L6DgCb95LiqmG1R6PdNeeCboo5R7DELXKMWuEKU0AYC4ZMamq9CJCrFUBQaJUqpjFktt84JUkTOJXYmaQ17iAgsviIV7ngen3WDUS4mpSoi4luUzoT7yWgBX2eq2MAFErbEulmlgw0uEdKZJHy/PwO63rF7e1rHG9uVaxJXlssDUjynDpcwtMaWWnPDwFl2WBcU2LsRw8vomoVK8aeZ0w3BzKOqBXrZUEYSUQkDIHun3pYUdDgg9dKrXxfKr8vE/6PbezmWioYjyN+8U/9Iv7IH/w+Us64rCt+93d+gt/6S79JyrIy13p5+u61BCnxou4EoEMG6HxlOXwWkykVsNrQaUWU/t/Be02A+vc3xlDX/IWIk/xcAiAVBGLvwVoqw1Yt+9dtLUDgwGFbI4Sf3StzW++QOdmwhpWh2dtQUAeJoe7SDTWGOKaW90/ylRu6dblRQJM2lDMlPNuyUWX5NGmnEyBUhXrpcjdgOk4oDOs93EyYz+y1yJYvO56m+EKK8E7MVMBUlUB+n1I0Acq17pRoAYGXtpjHWgvTrXdjCJZPRbXGk9V5x0qWkliHMRCUrysCAK2bKR1DeZ9iDGCgomCvPn/AzcMJpRa8/ck7xJhhU0G4OyJt1LEpmTlmXOAoSQJOOhOH44jhOKKmDDCEzyl1o7KgXfNmrZU6Ud46ZGQVhZN9QwpsOUa1fHDeQeKdoveVu/AMD+vXp+xJaUukejsajCFQ4lkstpTU3mSNCdEYbDljCgGDdxjZguBTTlSfL1ft4MtZQoUh/9H6bII7gNtGcOkwjOi7keQ13fPB9lxySvTk4VrAdJ0oWDgfNLkcj6PC6Z/fPuP57RNijJrUiKXXeJrUp5cQPrSXFO6AU4y1YZ0XbNuCEEYcTkc4Z/H8/J58Nk1DLAGk1zAMBxwON3DBYb6ciesYJqzzAtSKlIljTuIuJIrUcwmNMSwqaHA83iCM96p6m6+0Dg84qke4Y+h7OyPaXiMcd897UBI6AfZJhPxbVG5F/Mdai1QTF3a86nEIt12K46UQRD9zATsl7mwybFIED1NiiytHSZn3Ht6PrHJeWPBwA2qFdeQVOY4jdW1d862XkbaIkiuu3EQZJ7JjkedtDAniDXZCStveRxME1Rf4qOH/NeGgfWJE52pT9FaOJAoLSiZU57TosIfitm59P3SfkUoqf2/byF96ujlow8lai3m+IuWITz75Lr793e9jXTb82n/4l5FzwjBMcOEHmI4HvHlDe7j3Aet6RdxWTTBfjnk+I+eE16+/wDSeAADbVmHMPvaS+SWIhJ4aIqPkhBQ3DOMBt7ev8ebNj/Rv5aWIJ7uff7/f8VEnm8ZYtRwIY8DxnkQT1nnF09dPakwO0OSYThMnd6Yja2dVMRwm2ywFVLODAjg5MPvD3xhaYPMTizN0XpFSoSOYhCO5aGeJZxNZVp4tBzIny7TrAOu84coKurWCqzzsR5RJEMgK9I8TYNSK3PkBUWUHqNVg4U2IKlY0ybeNNmKCqVAAFETm30Kx/s5aVHikjQNB8SLyVnmhqAw5TYVtGtgfa/RwPmmAWW2DY9JnqztoaBULFNcfdFTpovtPXVjnnPIfpCskPIaUNpWmlsOTZNo7riZ/T4Q6ZLMtJSpEiBJJi1wScopIOeo1A2Tk269tue/S4Twc7ghi8f6nMMbg9bc+g6iTSfIcJuJokHQ4B2QpY+SDyXmnHqbSFZO5TO9JZ71uFIU6DdsSac5xwFpKxXIlRTQRWTDG7LqWAifvh15D93sfa7Ipnz3FhG//4rfxiz/4AkuMuKwrvLX4A3/gC8Q14nf+6u/o+pfnKOqqfVJgiOGv+wRMU9OUCrjMF1NIQdUECoAbpKfCdYeKMQbeOUwhYEtp9xlaQa3jt5V2QNFBv1dTlDkVt6jd1niOCnsfpkEFHgT2TZ+VZO9rZciqow7l05snUi3kYKRyQgFdG0DmRImSE4aBp1VpANY6EvBywhOnwCwuJAB2fb5iPIxsITSyj2zBNq8IE8HUT3cnFcqKG13fygbowmXs16sEgqRSObQKPlMRAGgQ651T2KzAmAt/tn4QjLYlmmL3MQSDxHuMqA2LkuUxNH6irE9rWXCnUvAYBq8+qN472EAq1q4IX9ZyZ2jE+f2FBKQMmJcpQkfESbKmsKIsny2FuiQkRpbJMiQ4OIYUOscK4BxUekeBrYUItyUkZxG8BzG+yBs654K0tufthwHYNpSYkFPCOAYNI+l12j007mVBzwBgZW5rMHoS/rHG4GYacVlXrDHBdYqyKWdcSkHM1D09jdSVGr1HPkyImRJl36m19+qbH+OQczCXhLpRoVSsR/R3XhSypHBGZzgAFFRjYOq+gHa6P+Fbv/AtzOcZl/cXXJ+vWK4zzVMfMB6mXWI2nSbUUln8i/QL5H2HMWA+L5psSuF4XS7YthlDmLBtJM7y+tNvYxwPIHu2SAKS0wl+8Hh+fI9SsvLl4roSmicMZE12fdbCu3TzjCGeqVB3l+WKcTzgcDNhmy1W9nclaHsAkFGyh3UVfvIKl1d4tjHIqedWYle0BKDd9Yqq3V2NExlC3BesFH3AcFbLmhzWWS0AyVCBN+4Ko1bmRzIkNCds20o0A0bHSde7dRKbfofQzmopSIls+FJaITY2tZJjg90c8dC72CqEkWNfQedJ7NEK/vQMGoJIY7dOqXaXpHfcRoHMtv3edved0XAaNr2A7XaNC2c9LKPfai4oFXj/1Xs8Pn6FZbng/v4zfPadb+PHv/Pb+Oqr30WM1LWlz2fx/V/8JXzyyXfx5s0PFUIMY7SD21+/tYKQW/D2zY9w//A5iUvCYN2WRgeT6wTH0KZAhEwI0s4FDlNVqPJ0esD1+ox5fkavMi7z4md1mv+TjI862ZTRbAWgfI7j7VErabUCh5sJ43Ei2A4LUcjBrhh054jnNop3Iquwpqy0+F0XpFRcn2dOgKjK74PnRLMJ3ThvYQNzmaxF3BYMhxEi1pFZUbLmivmyUGdWqq2lkEm19yRPzRWnYvaLyHaLSb4K5NaYzJyFpJDOuFU2pKWkczoZUsm01FkNDGUhEZ6COCRdgJK0FRYGcT7AVs+CFhbOsxG6vN6LLoyI4rys1Ow6aHrwY/c7xoCuq5CXpnSbLUukpxSxrlRx6ruQRHLct5mEVL4z1pVAv2RSCUsRMW1Iadttbspv0OsSFWCvHcxhOMBai+entwhhwgN7Vy6XBRWAqVIFzVT44MNkW2M7gBlyC4bU9qb2sLz9lv2mC1CnQaqflZV/yUIn6Rw93h7JN3OLzTcMchuauIAUCHrYxsc0+nlScsa3f+HbuK4bHi9XXN6f8fkXn+L+cMCn3/0UX/7WlyTuxHL01jY1Tj0gBTLr9gkovRd0fkgiA0v3N6WM6hvnzwmEX/8NBC4YCXcw18q+j9og4vfr5jkX0Bz7vcnaUlGZSF21bdnY39GqWIXAwDIL9AgCQT1aQRye53dn8oHln6d15QBpD4US3rmIIRhjEOMK50jQ4CVfh7qnloKquMBEx3DeDWmNiPcn7XgC0vkjdMU2b7j/9J6T4Izqiir7ikepvg/Pf+ecVq/7UYlpAQBaEJDn0IsCyTMr9cM9zr2cJ8bAVKPFOf3cruOpd8JQlARREBqXqLxc4xx8qJqYHe+OGA4DwuDxk9/8EmkrCGOr8g+HQTm7ITgSV+I5qsiZSjQOy4mED4Hfn87OEBysIT9OU7nDX4C8RWxcsMwpYbms3DktDX6bK1wgVMs6b5gOIwwoac8ocGhQRGtctz67ooqzmELAzTRh4KKns5aUOnNBLgUjF2Uk4ZTnlnLGHCNW7uRS4EeIo8IFP5rvP38A9rfkkGCzVg72qWBRLRe/WKndmNbVbHtYS5Iqo5kqSCGTzgtKcowxePr6CfMzQbiHYfgACeKCx+mOOvk5FVyeLnrPrSco+bZGzOcZaeNuOAvykZ+mg711GIYJ6zpjuV5U7dMYgyEQQuD89IiUVgzDgSD6cVEeH3FTneo89B3CWisqSOCPCtl0DXFLlER51yHauFgnXrilaKdWzlDx1e4tj6TwKFxOORPEe7fWJoBUUlaLF/JWT8rBliGd0syqrwKF7RFetK865gK2RBIgjmLOGSlHeE/3eBgmjIeJ7k3KVDSMSZsYEiPLIA5wRrlm5EhCRtNpUvVxWsvUTRYkmE5NQ8UkoLQTrIvNXnI69T5iT2PQuNAWfdbOetTaoKQVTdVWnjlZ8Tg+j1oekHPEfF6Qtoif/Pg3UFHx7W//Io63J/z6X/1LeHr6mn+XbHNiXPHmzQ9xONzgk299jqenN7heH9takuRavxhUQ6g7ay22uOLt2x/h4eFzhDChoiJGo/zql59fC9pVziZa17kQDPhwuMGrV98igaa4NQrKC97mzzM+6mSzHUINstYyfuD+0zuMhxHPb58wHkYyxwU0mdxWIfkS7+R4d1B+jxCzASKC2y7AkIeyXEg6XbycBHKm/krctQvTiFIAGzzSmjQZq5UPd04sl+uK5TJzNwrMm8wML/K8KDJXiDIfCMw17GTKVb3KsjIuB9IhDAhhUKU44mIYhdbKZmisQTAEKSZDYgr45CAoBfDBAtaTmNE0sAWDxcD32fgPkxKdzLV18uTg6pO9WvANkIDSPWcuDAykihmXiJQStm3DspAQhmMxCsX0A1yhomcqfJT+2kQuW69DEsv8sotEXBfAdsRtqijVWrHWop3QECY4H3C5PBI84lufkOT5vKGmpNw1CuSy/r91niysrSgg9UTHc9Fao4eRXL9U+6wzSCCOi4j+yDyv/Ppxo4T2eHdA3ILeL/osLTmy3iGnlli7b3iuf7sPY6wGtQBwOkxYYsSPf+NH+NFv/BjnP3LBL/9dv4DgHU73Rzy9faa/e9EF2AfF1C2rHaRV5y/a5l6rAWRuizWRVPU5ecilQNrouUTElHZJ/x5e9CGnVqvnXaIpxRlJBgvbnBhjYIPTghx4ngmsWw7LMAYslwXz+xmXxwvm5yvNRQ5ees4n2QiQnL7wdYbQhA1I8KB5/AJZfX5DCIpkMIYKeBRoGizXVQszidWASdiDlA/d0WGdV4yHEdfHKyVVLGQE0NyWBJyeJz07UYOUDq92p3fPkSv9OauQk/K1ONmU/UOSUHm2vaWHwqO7BLdk2ldM4G5HZw3hnGULAgmOxFzecWch4+71DZ7fPKOiYr7MpJRcBoyHAaYCNji63sEjsHJkym1ewFY44V/KPOU5ZrxDWckXzwXAWTovt5Whh7VimTeyl2AVziRQPxhC5fA1+xCQYsS6RBwEylkriqGAuRRgDEyfcFbnFkAQw/sjWWN4TjZTzhi8Q8rEL5W1k0vB4D1G/v+aEraUsMao8GcvQbg+g6IqoB/l0DipQBTTASgkb1cg6+HEWTrPfSeFkTiOi5h3VGT97h/6Dn76O1/h+e0Ttm0DNmA6HnC8PVKsxAJM12dKJkVATJSslfddCrZ1xeX6iHW98tpzKCVjWS4kvuIctm3F8eYWQxxhzBHjYcJyuSLnBO9Hpdc46zFOJ7Vd8UNQBJEktAI3Jd4fibJY68gmxxLaIzBCiAqx0PO6VoaY+33nqnb7icSRrutq6s86m6Baq6rIi82etWQ7Umsl8SxJVrvnWnJhRFQriNPzFooQQ3k52RMUFyCoNsNxGlmuiQe8cRY1ZYLGrkXpWQA3XOyh4xkmbFtVwaXxOLLImfAni3bTY1x3CY8UO2SOSmKO7ud4KUylHHmG4PZJKf+98FEp1iF+OTVzjHJ7DehebNuqsGqZa5989gW+/cUvYTyQKN3Tm0dcLu/x+vUXGMcDrtdnvH/3JXWMU8SPfvRrGMcjXr/+Ns7ndxqLvuRK9rBaKbLmTMI+d3efIIQJBgZbbJ33Xjm71qzooBZb0GdMacO2LRjHA+7uPsXbNz/SxL2Ub+Zc/37GR51sAq3bJf+GdH74Bh7vyaR+W1blkFjHxuDGkIiKA8FcvUdJBVvZMIA2PVmcOWXM51kTrrRFxDWSYbAnvLvAHbR7Z1kC2xmU2mBbEjwI/LXkinUmqEjaCO5Z2dtORWCsdC07+J1AWq3jzoUQ+u2LSo2Hsx7ON6uDnq9onOX3aqqKougYgpMsng5fY2BYZcyCTdUdCdoEVjSUrqYE1y83XIGEqdlwJmMh2WClKyPV8L4Tqs/akp1BjlT1o86HwMsCSiH4S4wrVHGNVbx6+BxAtKMdcbpX4EMFDGn3ZlYC1o4omxG3yq9H438C27ZgGMjOZF2vfC0Jtw8PsM5gvW7I0eiBkVKCWVpwO90cmJNhFOIm3E3ZZ3ouZy0FORmthlY+BF3wCguTDiUSsJxn5JE4zJ7NmF96zBnTvLI8c3E/yqGHdIWzJLYjvruPP32P/EclyRp4DrBEvWeucTcv+8Szh4RrIsqWF4CsjZagOmMRc0Zki55am/y/8FZKrjC2aIBMQXztXm+PJrCWijM9rBaFVlnOmfe2RSFNaSMorWX+JwVRe+hvXCMu7y/Ylg3zeW7BDxjKGwnCJUI7AFRJ27B3mHfUFc7MkaK1KRZWBrVSAWnkeyjdBVGatN4hsH9ZYh87ET8SKsXp4aTPCbyPmk758aWXZ63gzrVjexhSfXSMXNCkEYAzTaEWaBxb8M/a96CvLQlmrybcPzf6YwoSdF9xrQNOXWiDtA0K90opI60RKWfc3J9gg8cwePzOr/weai4kyCNiJMaizCuGMZC/4BDgQkAoVYUljAXcEFAYEWEKedNJNz1MA83DWlC2BFRQN5FtbgJ3acsYMB2IK14LQ2T5f3TvDQY7IK0Ra4qY/IAkgjOGuvMGwBgCYkysJkxw33Ec6JmYRisQv9PjOGCNCWGk5DKKCJoxuG4bYs5YmTeqBbYAeOMQuXsEQIvTH9toRZ399/gf+4KVbbBPdGgjjUFY3X48THj1rVc43h1RS8Hj148YDyNef+c1zu+e1Yrs7pM73H92T3vO84zr87XrtpHKqvMOy2XFfJ6xziuu1yfEuHYq8y3JiHGF90GtLgDg7tUDjLV4fvcEADid7pFSREobczN7CwyCTBtH6zHFjXxAORnLOWPbFpBtxQTPPEopRB1vD1Soj4nOW3Cy5mw7A7wjMcDOH73vJsqg89orEiWlJgBZWC27f1b9a+h+zSNzdx4AqwG3vYbgpQFEl2oIPCqY0+dy1mMYJ01gto0SyMT0jeAH+DDs9s7MLgbkG2lYATcjJyoobovF8fYEH4gKQOEvNT3G8ajenv0Z1jco6EujRu3POssJV5vH4LlivdigJFhLBQZnq9I2Wlc3Y1sXgllHUTduSeCyXPD265/geLjDj37vhxjHA771ne/hBz/4Y/j0i2/hcHfAux+/g7UOb9/+mOfnht/93b+KP/hLfxIPD5/hzZsfa0FVn7uem273PdrbI87n97i9eQXrPAIqtq2ChL06yk0hYUBV3tX4tqAUIG4LnAu4uXmFeT7jcnm/i4H/ZiScH2lkSON4vEMYA0nFd8EQ0CaqMYb4PccR53fP7cF6i8ESp804ShYBIG6Nm+fYOoL8OWdWD6Uqf85FN0Yxzt3xHZjQPd0cALynRLYWqkDVqht2SQXXpwtDDHgjZf5MZThQjpnVUx22bd/2DmFA8COG8YgQwgdeOVTBokBTWuuyOJU7mQvzKaEiHjUTeZ4gMaT0GILDcBhRnCOILifVPgQ4Z+DHgTqhXg6PfUegcsL0cl7X2mCpjfC+/x3DgZY8W3qGDtOJfKj8tSWAhpW8MivOWut3xP+NVeaIyxlRitGF3h/ClBwW5nI42NoU8GrN6lfWPkfzRCqlsBJtYpgg2chcLk9Y1xmvP/0WhsOIbV4Rlw0hBILlbNS1sd5qB14SE0jlv7MvqdxNoEQCACqyzRClulorhspemjlzomIwHka2prig5IL7z+7ZU3LVxGHnOee5qvk3qQr2t9LoO+tx3fD++YLDNOJwM2E6jhhPk+4lek+0qCTcEQ4ASkU1rXsphZ9dp8C+COjQ4E+94mmKJBpFQYSHEf4kCIoYSytcGdP9LXcj+/cS/8n+cCFYFHUBc6ZEUGFhkqxKMtbNievjhSBFKSFutEeQiBlBiMbDhJRovrlCFlPDDVW2iZNN1+SYo7jON8ipcIcyUiduGvbXMjAULW58rQU5DrxPE3TNeQcHR3t1InTA9emqgW2K9Lqn+5PCZRXK3D+LUrXLLPfWcGIpj81xIQ3G4Js0S/sEU1RWmy9q43Aawz/vzo4skNOCnXKxq466L9zJ8J78obdlVUXY4TBifrziOSZShgxU/MopoeaMcDMgLgk5Es/KrBvNFQO4ofnHVi6ClkpWJFK/LahI7MdqvMNyXRGXxLYRBlNHD4lrJNGR0cOYop0a0qRoYnOowLpGjD7QParEjZWyo7eNO17ZNkoFsmCwbBslwd4rxWOJlMDejBPDaxNSIQjgvG2IbCEj+7szlGxI8UWoOR/jkOTu5R60Q7RwUQbYB6L9ueN9UMsc8YCtpeDxqye8+cnXcM7je3/4e/j+H/sBfvev/g6pYXIiNR5G5EgCNvK+fiDhsuWy4PJ0weX5iS0gKNYwMFxILpoIxEhiQcfjLQBCJbz69mtc3l9grSN+MGh+1VoR/ECwX2NZib+doUagiIZEDykxIR0I2ffjljCMQcXIKHY07Nna37+2nh0nm7VU+NEznzLqezeVcK82TMZZOI5BFUnhDDxaR/ilaKDtOPmu66p675iuxWgTTgLlDLAs+CR2N855eD/A+4Btm7Eus9pvSAwZ44IDbjAdT3R9uSDGF4KNzqFWopvESNDm8lhwur3B4WbCel3RSw/4QAU0ut+MZGkTj5+RzMn9Z6dGU1P0BaAdTE0yLUFjpYtP1JUNy3JpfEp9PYnTS4uFasHl8oTn57dIKeLu7hMYa3H36gFhCqjcGLi5eYVtm3E+vwdAoj+/99u/Ah9G2tu81wYI0CGktMgG6tFyUSjGFefLI47HWxa9AsetBUDrTO6aCWjrVjqh63pVtdt1vWJdr/ibOT7qZFMgDupbiGYgLAuJ4DoeCMB4GLFcF91QnHQzReghE3fOGIPsHWpNXGVbEJcIwwReqfKLamAPG5NhrSX/tynAB49cLWri5jkvnFpJuEWkqQGxXoAmmjX3UAFSCbMsjOTdQLxA55TcLgeJTDoKzCzJc3eVIj+QiIMkcNZyzZm5ONDkk73hkBBXEjM63EwA3zfp7rlhgB86n1IeVD2y2sXthx5miU3b9frlb83+qzGAsygpdt1O2ljHw0AqhemEYZwYytEqXcLjdM4jRuJgCoTEWU+JddoQwoBtWxQGm1MEjNVNmO5tRq0WBq2zKdfXuBFSmdqQ4soVP+aarle8/fpLvP70W9RRZBENKXpIESJtEWEa2P9wX+kz/LxUjbZkDQj7zm2KGcbGbl0UsrbhokktJOIi3rPkL+nZ/iLSWpHKHyc/H9uQSr90l7/63a/wR//4L+KT73yK29dU0Lo7HHBZV+K4onXdS+YuPVsK0WFvGAZuVVCrdb/bkA5n5QKMyQUVlZVsm1CGDx62VvZU7CC7VriBck7tOxDyuwrrl26EaRyVuEXkSLBcSVhkCH2gcPCdYsL5/Rnz05XUZXXfZE5nySglIUePYRphrcVwYCP1w6jdx22JzUu38+DVCnlMqGPA8fZA16B8SounNx5P756wLhesxsDngcXXOlXujVS71+uKx68eMZ0mPL99InVnpgqUTKrDAkvXz+zMrvsgSVc19RuFgLJwmbtnSwlTg9PaF8/diSqwvG/HKyq1ohSLjELnGho8jIIJDlC9gx8d8lOCcSQUdLolFM/w+ga/9Zd+i7qwxrAgC++VgczGK1s9oVYsM9nZhGkgvQFHCrXWW5guoDWGPKo3NmyfDpPes7yS6EaKCX4MCN4hsYdhrSPCFOB8RYmts0k3meZAWjeU40E7vjpP+X4Hx0Jl/I1c232/blRsePAezlg8LwvDZBNSvuIwDAynrZxQtjPV8zkm6CWB+Il/98c4vgn9UEtBMQXO1tZh6QST5PdKoXkxDiP7ORcuDrX9aTyOmqj88Nd+iO//0e/jO7/8Xfzo136I9z99Dz+QpoZjWzbpyvngsC0bLu/PeHp8y5B7fgayyUGQWySoYgzFX8NAgmHTkeGy64bpSEUvmoNErYExMGhrvhfnybnBOo0x2oAQJVdrKRFUga6BCmlhIhTRel07j/CsqJbYeTQ3SHxXNHet8AbQGq212Zn08aVQtdA9O3kfKSamLe3cFCyr/Lss+w0lh9u2gXQ8WLDMNXeCnCOW5YJ1uTQIPdre6KynTiDb0DhHxXESJSodUqzQ/lSsJnSX5zOm4wHjaQIuC2IkGG8fYykirZ9/lkT3ascpFr2N/nxtsb9FLRm1Ok2gBUa7bQsXMqSgafGy2y/frzUDld0fOtjpl1/+Nt6//ylCmDD/6pN+//Xr7+D16+8gpYhlJqudy/WJdFOMgbMB3u+7pgAV1nYxHivFGkOKuNZaHA43sNYjeENq7bkChs4P4aBKftPfE/rMxJ8exyMeHj7HV1/9bitA1Ppz73cfdbK5G3YfsMhwnV/a4e6IWqu2+6WKlCKJGSTmyqm66eARt9gUaNEe4nCgCvnx9ojHrx9xfndul8JeZ4Lp94NH3pp9CEBwvfl5xvXxihSjKh9KslnYjqAnBJNX1IECK+N/pkeOwESUGO0at0BGleqxp43eGuGkkjqZZWhgSd3BD5AVC0hYovLh7buKGmrdbXS7A43+AYH/9hU76XruK6771wKgHRvnLZAYppdB8NFCUAnvB4VBwBBXKPMmEePW7o+1sHakAyY7xa/Thmd1YxHbk4wX8Bf2O/wm2AcdWnT/t7jCOo9xPAJIKEUgGV/i/v4TjIdJjdwNq8mJYExA67KLxx6A1hWAVBG5w6XXAeVZ1FLU4kEP1tQ2cvIBi0gxIQxkqi3qtJI8yxr4JguWj2HQpk/36Kvf/Qp/7E/8Er549YDLSvN9SwlfffVOPQsBaOJijAE8YAwHrpn8ZdFt4K0bbbTruYMJQTZ8Cqyv89zgXSwcJRAuw1XrkkvzCu4scDSp5K6mIAZ23dlSAQtWkC4MnS06r+Tv+o7v09eP1NGMzdJEkB8xLjAgI/DTw41yhaXDmCOJaqzXlbhHKavFj5i0Aw3WWqT4EmgPdp6so25e3WI8jpjPt0jcvUsxaZC5Xhbg1MQsrDMqvrNcFkyniUQ2uvPidHfSDmLlYLo9j/3zKd/037UiAzs/TvF//DDRtCoA1f+8/z1jSDgIpmqimSJ5gMq69d4hR+oSpjWixIzhOOL6/oLnnLEtEeNxQPAEqc2JPP6KwOR53S/XhG2JBPGrUJV0FxiWyGeR8OfWywoYgpiWsTCyhbo163WhbiiL9IjS7TqvlEyMAb4AKVNC51jAQtbGmjZMgedNKdzdrO2+mdZVSzGTMnCl35Of5VqwphZApZzp/eTv+L37s8eywrCII/ngNZ74GMfLwhcFqtTFKeqbuS/YA1QcDsGycCDZz8Q1UvLJ653OKkcohRSR4oYf/urv4Xt/5Hv44pe+QxZGo3SWmmYDdeg3zOcF60IFvRY7OC1qS1JgLbQwC1DMNR5H5Fxwfbyq1sA6k4qnfo5aSdDQ252uQ0sw2XqldMJUjgTKeg5vjhllIdeAQz1iPJG9XGSLqFoNrCs7NAndH9oTI++3jpWoeyix7F3igkCfr/s9SZQ7qG6vt0AJqEHOLQYwxigqAKwWPgwDcvawlu5PCAGlVPKB3FZk9tokGpaDD4OqswLkt+ldQKoROVPX2Q9eBQtzpuclCaF0pXOOWLipFtinmZKedn+9H1isqLNo4yHFqpdaBX2CJXGa9R4hkPrxts3YtqU9wxw1gRbEX/+sSq96i3au5ty62MtywfX6TGc9c0ifn9/g88//AD777Pv40Y9+nUTxStt35XqlaCL354NYGSCOPfOTpRM5TSelx5VSmho0wAlnO7/7e1dr1YRzmk64u/sE7959+TetqPbRJ5s576GVQNtMe3lm2UimmwPm51l5hdUYIOZmzG73E26bRaGR/SgHjzAETKcRtQLvf/oe16cLjGkdOOfJJ0q6ns47gD1cDXcKlsuC69MFKWXuYmWt8ufIang5gezGCApaa8Y4HhHjglwJ5lF1QUjyxEkFiCNVuCrn3MD3hjsuuSAVTi6rwD8rd/sShkBVa1GMlA15GA5IMWFxlGiFw0Ad4tCCgZJF5Y64oEUI5tyNkWKOLgI0bpfpDvk+8KWOTQdBfLExOO+4UupRciaPqG2F4+53iisSbxLOOljr4T3Nn7itSN3Gpj6CziMY00FjW7JXtCJktGtJGytXIP3Q5iDLyssmKeIDl8sjai149QlBapPYRvhmdVByE+cR6I7axXSqoqa2DYXubQeB1J3rZWdtD7kwIBh5zmQHNJ3o8F4ui66znoP4sQw9vPhGrdcVv/Frv4Nv/+BbeHU6YUsJX379Dr/zV3+HhFl849P1+w5V6Jvwj6kN8vyyqynvJ++tBYJScV1mbDNDt5IgD6wGwkYOUrZE6gsykrDKa1pvFYKu64WDjZKoMi0cTXkd11XUjSHxl+d3Z1yerpw4ZuUorYn2xtMtdYAlAEprJFhtaff0k8Nr9mdryXJcNpRCRSBrDdJG158i8bApOdwouNX3rTjcHhCGQEFbYtsOPrTls6aU8fzurCJnaVux2U3vDUAeyoT+4H1TuqhcbKP7LDL4H8IKd12fF4d2rfWDNfcN06D9fpdYASDYJyoyF/xgm5doTIW7PSSWc7o/YjpOCA8Ov/VXfpteL1fYo2NVz4047nKWybovratBHfWC5bwwJLo2CN7WFC19aNoEMqgYMKIk4vPSZmJUeXO5LjgYEp8C6wNkACUmOhMr2WYlS6qxqaOD6H3xFqzvhhwTUs7wNug9zaVg9AEjJyGCqIkMEU85qx+jBnYwGLxHqRVr3dqa+Rlr9mMYPcLBWun2SXcvw9oEa0UduWoyKD7haUsoWZI0omQME1mISFHSMo8zbcS7/vFf+wm+80tf4Pb1LZ7ePMG5tfmaeov5+Yr1ulK3cJooAYhkpZFSYqseSlh6ykvJic7pkcTB3v3kLYbDyP66MyorX1PxXFBfmfaUzgrOGKuCQLWyWwH7ffrgkFyLM2slipMktJf3FxhjMLBOAhWsHHxwiBsVxARJRLZjUMVePcctdtoNAFm8OW+7e0rw+V45XgvCO10Lo/BbpV1IEmY5Ac1dou882Sh5h/npkc56sz8TnQ/M8xR7mKwJFi1P2tPjupGPs7Pw/BopQV0QqFFCiZ0o647HEdssxYfWWW+inN3ZxQUDiXt/1pBOZggjnVMMG02Z1GibrUvReSHxGiWUe05lzxMGOHZyHiEcIL6zOWeF5T49fU0uD9OJ4rwOuozc7mtDIhICkd5PPGxbkivXsSxkiThNJ45hq+oYtOeVgWoZhtsSb3pudC+MOTHcd8Hz85s92uT3OT76ZFPGy7axVqVeVCjHw8AcyA8rJgBzHKWyneVwJa/M4UB2EQBVyd9/+Y5sSkqDPJD1isPh9ojj3ZE6lYKjZ3+jddlwebw0XhXzQ8hYXUR1iiZKCjXxItNN0tIyQWhhBQAE/Yhx00Qzp8SemyTIAQNeYAECpZJEUxYVSfrT5M18n0pN+t7eB3g/ItxMBLkFkGOBCxz8omrlvBSGBGc6mDTR7GCg+gzZJwqmdYHpOQLoFoO1FtX1sAkOPmJGZXJ3X8F62XlMOSFYkreutWJlCG2vBkb3RIQnyO6F4CKBNj8fuHta9cCiZxEY3s3qfCwQRPNogHVehYxKKZjnM4bnA+5fv8YwBg766dlX7gh5FqoQ0QAVazGVobBtM/qmAEkKIVUVJzmQ6ipftXKxpFJnYk2kQjfdHDCWkXh93HX/mIfMlfm84D/89/4jqtDHhMv7yw5mSgHCHrbT3/9aKsPCuZjSW8u82KP610hbJDPzUvZJpKnqTWkMAP8hHE5G/5/e+w+q6wDgg8d1vrJ9UPvsksAaR1CrZd4wP18pgeO5Kbw2gCylhmlgeGVkj8aCYRqbIFGlotbzuzPdJ+YoCi/M2gqbRXyIIf18L5bLgm2hzuZq1o7DSt1WYy0evvUAANiWTbmjwpE6vzvjD/6JP4jr0xXz8ww/MGqFu8RxSwSLO44cCBnl4avIB74BJqv3ukMzWKsdS4LKNpV0APBiMP4Nr6ViUHW/r2lBib/ngijzAj608+1wc0DaNlyfIvHBuJAYBlIUHycqCqaVFFj7rrV0T7c1kVjPvGFbVgAGPliMx4Oa1k+nkcV+aH6SrZdjvpJFmDzivPFcyYgLFVHDNGC9LmQ/5hy2lFETFXlRC4oxRGMpBs4OuyAr8z3w1mFzFjUTOuTN+YzvvnpF98UYbDljAHB/PCI+P2PwDlvaPyMJGkfmw6sacBH1zv3vf6xjZ/eF/R5CfEWrkEZSeR5I+X2Nu33LOKITLdcFj1896h5198kdbl7dYj7POL87Y1s2vP3JO3z2/c+USy0iXU9vnrBeZ4Jhpww/eEzHA9zqsW0WxqxasBXqjtgnWedxPN7ieHcgOoBnHrYxGr/FtCCxs4B05iTxEeVRZz15hYsiq3FwuaDWoAlIryJN1lCEOqm1EuLl5qD30HlHYnJc1CuFvufHoH7HxpAWhmhUSDKZEvM3HXH0S6kqjiVKwR/s+RLnKs/byYMFKkGcv2leUyxZEeOiKrIU350Q44JtW2BgOPYRGhEjA/heCIIuZypAbjnDOqeccpOLxlqyIRLyqyWcfgjK0Zf5SMX7gZVqJZkqu68fnn0GzgWM4xHeB8RtbVZ41sGhL7TYdp/AYpkwFFeV0hIw9fQUUU2aD45tYeR6yCZmREoRj49f43S8w+ef/wA//OGvkh0PLCoymv97r3Zuu3/vhYLkc0kcqUU/H/T9hFesHVT5PPx3/fdrKapOe3v7mnzpl4t2XX+/46NONl8unJeJJtAqB30gGKaAdE66aKyj6rWrbHvCPB6ZkMNpwuHmwJyCiOe3z9SVjFQBMo4rNo6qTuNxxOHmAGOYqF0KjHHwg8P8POPy/tySXds2bbCVBflVjupppMIKYK7l6lEywX/6djn5+2w8+VZNHOlzyyF73G06tVYWFmodmHVtnkxWlBAzdWy9CxjGkTosUi1JCfAeJgHOM3egFy6RrondB199kkQvhJ3Meks05fcL8adkAXZCKyW3YKL3xFzXK22S1sF2G02tFAxRVUgg0syJtbb7PWjgY3VDkG6lwIFIGKV1mOmeDcPEIkECfRsQQkBKK6yxyHzgX87v4f2A24dbNqmvCo/MucDVxtMybEMh/GTrRGq96j2SJLJfE0DXlezWjXyPDORb4lMrGF5HkPGbhxviFz//zSWV/y0xDFX4dc07S0F9ynj8iiu9lYVtrOM13US+2iHRDgSZuy87oASzhXb4ZH3Iz6WjJMWElwlljhnRGAS0tfKNwQcXqYAPDyzDwc38fN0JOqjYGQAUKorNz3MzU3fM6+TO4qgQKOb9MjcpDEH3vpyo6CUm437wcMEx/M5h5LUmfrLUBagIDGeLa1T7EvlMxBELqtidIwWoN/cnjMcRy2XF+fGMFIma8OZHX5OqrDXqqbytEcehE4rYEosQAdWTGqU8H9etp37f7O+9lT3VGDhrSHCmMteak7l+SJL58qu8dv8+/ZyS7xlnYSxd35G5mtZ7vPnR7yDFAoDUt3Ms8AGwQ4B3DrFuKLEg5oQU4w4eX7m7KAVG5z2W64YUs4rs1VJhg4UpAtdzyu0zxhKk9UjCZ7JXp0QQXRwGmGUlj2nvUGLH/y4sIMQII28dczfpx6Lc61kxvpSCx8czDsOA++MRqRS8v1CH6TuvXuFmmlDmfbIqtjMUKLZk23brYgdnth8fikOGBrddEVe+B5A4nrWOigOdUnm/z8m9vD5dCXHAdjHjYSQVaEdWIYebA7Z5xfH+pJZKkmheni5Y50VtNwg6SUIuw0R+sHEdqRCRoyKKxKaMEs0j+0hHDCMlLduy4Xo9Y1kumiAJBzPnyMgjhyoK884pDJL2qxaoa5E6JUpQjeFzurSzQHjGttFv5B4NhxFe5y/pa4QpNNsijmOEdiXnkNAV+nin36MllnKCcKlEAVA0GV+XMYaFwkhxmV47U3GukE2bCP8AlKRIEkpJ2wDvgiZJNAfE+cCj70TGjQvpOSNykdHw+brjJ1ZC/5DXfSb6zjTwWdNixBAGViEu6O3wvpFfCYMwjExXAokbrfMOimutZ30LSkpRq4qKiW0IXhTtZe+WrivpA1CDZ10uMN3nB6j5E8KIy/UJzgd8+9u/hPfvf4oYF6AI2q3ND2sdnHW8n+/PcREm6q+h90wdhgnDMFEBuPOKfXmPxDJRBJNkTg3DhIf7z/F1+iH5b/4c46NONoF9gvnSJ1B4OFKtlP/wnfCF8aSOVlT2XRIKALy4hcx+ebzi+nQhi5LYgkKRyA9jwDgNXKUhSI4LHoa9wlLKuDxdkeOH7X/LG5izFsYZrphBN5ZSwN5qBsMwYdsW5RxQh41fiBfPSy5CYZEfz2TxtCWIsblxFt5ZlpWnak1fxcnMl/A+YDyQiIMNriUvpm1+KSayI+hiK6rg7S0G6Pc/rNpQ4oe2edpmQbGzbngx5G9zTti2BXFbkDKR1afphFpyl3jTe17ns3I4nQ8wqrS2wphmDUPTii1vUluQIYycQA58GEWG0VBnsuSMeT6r6ECtFeNxxLSeILAd+f66XjFtB0zBk9BSqfAMw9ZKHD8386Kj1s/5bhrs7rE8S2OMdqUAqEiNKhPXBtuz1jAvLlLCeX9S79mPafSbMnWkG5RSuoJyH0WeX6rmxhgYiwa/F0gUWjCg1UVRWrZ76X3tuoitTSof7GX9SBsJlznDB5Dt4FQ7NcAP1YONIcuguCXysFP1Z9rzjLOUaM4r5vNCHozMZRculmeeZtqSWhjlVHQ/yiljW2P7rL1eK6+BzBzEMA7qpae8ZUP7nnSVRV1Wgo2cilof6efmpCaUiuk0YjqR32+KCXef3uPyeGGV7YLYBXBh8KzYTTypBKA3vPhZ8CL3IhHRZ1xJvbVwACOdM4HEAjv9Ji5IyK1hGkVp4jfg7onOl9RXri2m4wTL3Mj5zCIStwRDHAaPMHkMU8A6R5yfFzJ5TwUpZ8Rlw3JZ4dnjMylUFpTMVxGfog5xXCOOt0cYWzGwkFgvEiVUE4C4WGmNiCup4EaGA7uHI3WvuLsJ8D0rVLTMniCLow/N34lHZo4boX9oH/vpm3c4LyQAE1OGcxZTCDiOA07jiHkz2FJCZD/Ul4UfACjWquCQrHk51z/G0fQKGEJrjIrgiB2Ed4HVYS2jH6qe96QobbVYLPfreH/CdHvQuQrQ3BmmgT0WI56+vuheeX2+cge9O78q6S6UQnMrDAFhCFS8WDIS8zadJTEboSp9+Xs/wvF4o9zPw82B94QN3g8YmAvsfFvdlHCINgHZXlRUTOOJoLzye5a8XEtufpZ94Vu8smX+LFva7UuSEBpntSmxoyqwFojz7gORNrovkmzuFZL7/RqCjChFobuSrNJ9pb+JcdODiZLQAc4H4hVW8XDf23BokyZM7GOcVd123z3j9cRdSHACJMr8wgmV4nxKmWHRRs8hFzx3gqt+RhIjSnTNFR8U7iRRHIYDQhi0mykFjA8KwvxVkIYlJy0sGWMgnEf6CJ1qr3XwrL3hfMD1+kzw/23bJYxU2Ahs1bXh9etv4Xi8xfPzW7r/oILHts3dnp+R40rzSuhvtXFG0c0Jiu8zzud3OJ3uNblWxwV+fs66nd0hfd/C+4MWmnwY9PP8+Me/jp9nfNTJpkyel3jqlwGa/EjzTVE+46DDcEdSfgZAFRyNAVdbgiaZUikS78HxNOHm4YYq59cV1+crhjHoYSzXNj/POzXPWkU4BLDBkZx+KeytiR2c19pWAfPVI2en5sNtIbXHve/yNh/AbVthrQeR5gcK2HjDSiK+44JWkygZctz5YXuRWmBBVih0zzrf0ARgAMN1K0qh4FDur2yW1gK1fFPnpT0ngdQKxPfls5e/TZGC3m3ZsK4z5vmMbWsVLanmiEKtwGJnVgprXXDidTSzYddV/JzyFIRU3nc4rXU4HO5ARsYzdZgBmGK0urhtM4y9xzQdQeIAQTd35zwF72NW2DYVK9yLazQag+2esWtm0DJv+8CKLDnqLmgw6LriDHXu1w5VJSlI3NYLIlspfIyjL4T4ISi6QTrHWbhelj0rhUcryAlN2iss0CDh4EJI3nc4nXdIMe2UBGUvS+yJqs/pZUFBEldBRRSC2fZZjAhg9J9LAhoDwzzcLmE2tOfVSgrZ63Ul/m5irtGBOhSXxzP5NnZJj1yT8xa2tiC0h9GqUTxfw/HugMRiNNL5j4tUuT0pWnIyGYag3L8cST0xnRPs3YkUa61lj0e6dz5Q8jgdR4TpFqjEPTzeHjGfZ0xDwHSa4DxDhi2JCInyray5XiyoXxcKvZQiQa1w3bOV79nuefVJa2+D0m9rIja0n5cNtqWFQVDwOowBN8OditqdHy8YTyNGjNiWjdRBz7PC8At7mA5TgI0bShSV4cz7CmkH0N7sUU0htfacVRBmuay4ebhR79Kam9iYH4MK8RhDfpwlF8QuadxELOjo4ENALCt3MwmdQjDtwoJb+7kr9856R3uTJdjl89Olravg8DjPGANxN7eU9HnRev6w0CsdVOcJRl2wX78f21AUh3DVpbBlG/VjmAaUlAnuOrQuPwXr0HUjOgolF8znBct13YnXiViiFNLCEJBjZis54am1ApmIuQAUd23LihACdQeHgHWeFN5ZMhVHLo8XxLjAD6+Qc+YzWxAHjNwReGxthV/pJlprMV8oOZEEXPiTABXKXa9amzJQCsJEkHzphBlLDYOhDJ0llUHm7p4RPYYOFQMAhvcZiWWAPaJBO2CuT+L5K3MyVV2+K0AL3UiSUekyRi6YW2tV9bWUzLYaI7wfVehHVMb7ImyYBtiU4RJfc0pIifxJS81Nr4NhnSL0U+sRwzBA+J3GgGM0z91Cg2IatUKEhnwYWJk4a3VOkjCKxam7Z63Dslw0Lpb73xfB2n7Szu9aeyRb40mKI4E1oipPMNlhPChNS2JMGcYYBD8gDCM5RViLdV3VciWliHk+Y1mesW2t0CLnZBMi2u9TLxszlFdEPD29wc1NwThMMMahlJWehSWBUCsoP2kmyFqDhfMB43jAMBxwf/8pLpf3+HnGR51syqh5Dx0EOND+GTAYY6mCYra+vW4gsGYXXFOkPZCM/3AYVHFWEtHpJii8VqAJy3UhPL/fV4bWecNyXbSVLRmDc05Nu3POnGgyL0v8zQQTz93UnCNijIjb1hYfKkRVzLnmsUTQj6ZCua6LyicLL0mgvrZaWOatlNJUxITbIJ1QziTps7lmq6AKvxw4GLf39YNhgRuGC/ciN7vn+SLg+qb/loC7sn1HyVmTYxIViCprLYtXqj5RK2uxPQNAq061ZqqGDgetwgEEGZFNSjYP7wd+78pJp6fN2lPFVMjbtVYs8xnXJ4Khir+b7ZKWuK0Y4oAyVPjBarC9C3S9U9EYmVv6sy5xKaXC1g+No3veycskXxSRhU8rL50ZqlhSxjqvHzyvj2kYQxwlYwBjwRX8gmotJ5p0//xAcD6C1rYuSF/Nxjc8G+pQO/Xyo32DiyLcEfymbqYMeWY5tsSfEtweYtSgWCIeJd0MOuCLwmFpfVvdr5YLWTHJurTWYLw76nXuimCVgsq120cpeDM7SwFRaIzrhvVKcOQUM+bLFeM4YlmubU2XguAHgney0MbhZiL1Ufb0cyEhLpEheQTv3JaN/GpHCmbH46icy1Iqbl/f4u1P3iniZL0SNJfEYKDJxjAN2r2QYow1Zpcg9vcZoEa2PBfpePaPsLz42cv97OXripKtKF07v4fbZkNrEQYIwWF+3vB8nhHnDTDA89tnbEtETgnTcYLzM8LolAYQRo8wetUEWFkEj/aGTH7PbO2TC4k4GT5TSslY5gXWGYyDR4V4+lEimPIeanm4PaC8Z7VJ9o/flgg/DLCW7McMF1dqBScLpJQ+chfKGupGyAjc/aDCIN9DFUkBlrghpoRk6PqttYAICcJ80JVW1EJX1AnOfaD38FEPYxDCoL6J27KpEunP2o9UATsLqihrjCL7SpgG5CXSfDmMSCljfroStJoH6U0ENL2KlhDkvGJbKV7wgydUSR1at2zweH58zxZwFk/v38FaS8gKSwF1ShtKNtzlIaXYfVFVOHDs29t9ZtqvSYdDhA9pXlBRTb2/bSX18EMrku3pOBQ39X7HmtxUqCJ/nxiBk1L5fessFQhf6Fz0nHzi2lpka1CLKJ62TqF8NomNJAYphYrpZMOWkfOA8TBhCEO7nFK0iyv3BmCrlmtVeCaJ5UgSLHS1hHl+wrYRn7KH1eacUJcK67gAGMX9gHiTFoW1SMpubgAFgRNNYyyu16cd8kyfnyVlbem4NlRRbs4Dtc3HnCl5pmYCwX2toU7oOB6p0FHIDkU6iJ5Rbt43aykS4qH3v16JjrOuV7bdI9SdMQ19VL+hqfLyv19+r5SM6/UR1lqEMHHSKZonrUj5wd+awjzdBeNIDaiXifN/0vFRJ5vTdEJgGe1vqoKiq7KKf5ochL4Lhqy1KI4SLQAKdQhjUEnvkosqnBlDEK9X33pAyQQ5uzxetGsZRuqMxI0Cx5wyrs8LexdmrhSz7Lq3yJFEN3QTchamMJbcGMAAy7xins8N1loznPfKOazdZ5XP5JzbCSEZjqpKSRgm8l7zg6fKjSUOhMxFV6EYcGsc23FUOEPVuZIIRhKC4NQp0aRkhauJW0YJDFkr9DzISoWTnX7T1M0du00YXYVK4LSywfIjRskV20ok6Zxps4xxfSGXbrrP0xI8GZbhDy1J376hY75pkmlYjEkMiIcw6UbXy4W7wZE/UyWo7PX6hNPpnpPdztcLdP+X66K2IzQP9/wMOUx6np/cN4EcK9zpZVDLUBWF0+a8+/taCnJqQgVyz0tq9zrFfUfrYxrWUHVV4JlGuBWciAnER6uQtaJkwIn/bpfkAWgPDQwz7Pwu5XcI6lR2MNJvOmD6Zy2IAfGnA9q/jVaGe75G0blUK3UMFI5doIlhXCPWK3UtS8oYWGUyxaS2Fsaw7YUrmqBkhi/K79daySZjXjGfZyzXi6royX0Ow8iJReIDmD77ts0IfkB5LHh8POH29jVzsvbzTpL8ddkwiWLvTgFSfHIpqbeeFFuX64JhIkRHjhnZZxTvEdeNRDhqsxsRwR/HSbqgt0yXfH7Ts/pwXpldx88YAwsRA6LX7RMeYwwCJ5zyvMW+ox9+8CjVYTod8Pj1M3IqmK8z0hbhQvP0i+uGUmk/kv0EoOCGvHUJarUtETBX5C22znUlxIur3O0sFdt1Ue9V6fj4wcFYAJE4nQIPr9XgeH/Eel2A2mDD82UmSLZ3yDDIKdG9KBWlJmwx4TAM+6DfNLsY6x0nnPJMLMHJnUXcEr4+nzF6T/YptWJwDiv/7ctYQV7bWYtUyC7HWatKnh/78GFQmGOOmbhlgCKZWvEbGkOhsA9seUnVMABI8EV4jdZb2kdYhZ946RRo97xFlBbHEOxUivgbnp/fUnJgPcIw4vb+ATevbrDNG5xzmCYSY1yWC+7uPmGhsMiJTs9t30N8JTkm7qaFl72e98u+M6ZJAXPFC/tVaxEvFVV71u6Txil1fx+717NcrCFvTm6S1IqUSNVbBMFi3nZFvJeImZ3+R1dolOeicZcUv1yj6VA9Jmo3MqUNuJJNjGeqgXNOURKSZMuZNR4mhdeKRUfm+99UZQtSSohxpdg9jPo8aq1q7yWJvd4jY7grmAC29gCAMBy0IbCuF1W8lWSP7nejehm0pNLA7O6F3NNSEnIiOCohACgp1kRznVXRdpxOihKg64+Y54XVzQVNsfdxFr5o8IO+bylZOb9NAKnuvrZ1KD7vTcAopYjz+R1ubz9BCCOGMCqF7INzk9c0akUFq3SniGH42UWl/7jjo042h+HAlhfMXWSzcOIU9JWpfYdBYB4ySeT3nLPM07Styu2Is3B5uuLm4cQyzVRBHw8jSql49+U7xdr7wcMH3wyoHYlSbIssZNqAbKBJmLfIZrFtYhi07gFx5jIL/kSFUAoMMwSj0BEJlOTzGOMxBPHjbBDJlCLMSjLiyUT2Q6tEoJeE0Fe4TMEFoUZb8kG8NBYzUtgx3TMXyOJDN5lSPpjEes+7zqYGYtxBMrVxDfrfaVwJ6P2UQWRqqqIX5kjVWhHjisCcjVIyjDPctXB66Bmu7FKySt3NvjPqXEBlryNjHOp0guVEcQgT4exjRghTk8IuWW1WZMPZtgU3N/cIYcC2LiiG748hCfHEXnp0nhOMzQ+BbVBYidY7VD6A+oOHnjv+upuGbPoE1fUN8iRBBKi7IN0d+RtrzUdb6ddCjCRqzu3uh8CeSsrwQ+Akk0WcXiSTFExXzTP7wJaq0y0wqKWyz2/SZ67P7kVyKdfZX68E8+31od08GcKnkkQzp6wWIsYYuECJ6bZsOL97xsaKgNPNgWCKrI4Lw96hfD8kKCB7AOrU5phweTzjzMq9KUXEuDKMKmsyLpwUEeyQzyQKmJUtmLZ1xtU9s5p2gJ23llQ7Cx/AQmVGoX4lE2TWcCfXeRI1svxcSS3cU9DGRYK0RdTaCgkiGPHXnzOAhVGIaO+x+dJbU5JL+TepfQtkCgrddFIofPH3qlDLz1k7MdbiuhHUMS4Ry7wwj7Zi8OSrJwFm3hLG+2FXaCq5dTwAUmofpoDluuD89pk7nFk+LF2btdxlJlpIGAcc7g5UbAyeILGdEJt8ntP9iVR/eZ6WSDYZw/0R8BbWBtpfrIEpbMF0KBg8ISycMUjdfZQzHyw859hEXhA2MSftSIttjfAyZU3lUlq3WSw+zL5I8zEO6bYMwwhrSWU0pYjr9cxnnYMxAsEvu/1H9y5D6sEVL/YlToakgGGsJc7lGokTnLK+v/VWE0yhttRKBRDx113Xq3oDimLsdlkRwqQFstPtHW5f32I5zxjHI463NNeoA5UgPuNCi5Gz3nV+kSkllJw4ATIIU9D9QyokZJfn6IxeWX3Ze+0gSbHPc9GKkk9Ktsv2zXNJLPiEl01nBPRsKIn2alXI7s4Ove+2nVP6fAWRU5vwlcSexgTkbDjueYGOsvkDe6S0kfhTr4rvAqHhSungqI6E3fxwh21ZEeOiFKaWvBFsdZ7PiHHFMExqG5dj80OlmJ2guHAWrlCym///7P3bkiRZkiQG8rmpmpnHJSu7aqaxwMyAAKIlWvz/rywesC+L2R1gpi9VGRHuZqp6bvvAInKOWnj2THfhAeMLTUqKCHczNTXVcxFhYWEWk4CUFqzrFaVQo4OJ5s9MRvXEnIE+FZfCtF707qyyq3Z/GhumdMEq1NnWG6Ko3YaYTMmVvZ3V1gylqffeUQqfSxI3ApjNzrBoKiXDiYL4fDDmnW2gpt/pv3pHyYcknL8y4QxxKphUuMnDVIOTGBYBWBZcr5/w9nbFX3N86GRTq4atMghcbyv7K6H7skHR/LOPapqzAEw2xO4Bo56pp10wxcfW2JPw+dfP+O0//UWCdnLtVc22FqoqamVAzYD7kQfls3f6UgolwnmHnieRkCaLTe+iGLb9JIwzKBoV3kX4GFHqgXZK7IiOmcVI9wCKbaqAIx9/O3CRALj1hpgSWmxwWSlwh91H23wL4FIQKsAqiyCDOUt2vbPPmlVjNUGdJ5VOuJOPpBuiKhpcKT10vh9WHbXnGmwT0XulCah+Vu9E7Li5TdVBS0C7VVr4nGcPIyAGVkm37Y2iSet5kurixcC6wYH0m2W5yvdis70u6twMvQEGx3bg2BesIn2+XBxciihg9fEZaQUkV32qfOhGbsjuBLD01mncHqZgQQSBaq7Ya6N64OMYiadzHzIAG5sQUWzaRYx57SoDYK0mr7d12qS6rUFBxLd4LpzWHci5Qxpjs+aCXVQ7T4m8BAvP13f+t70UwJhbTnpHOcY9WsUJbFNrAkCDhihr28OoZ+ttlUprPQnz6JhxrsJHinOUo+D1t1fcv92xP3ariqh8e4zRArw56ea4lL5YHwUwG32rIURhWjRJjgru9wf2/S7iCws+f/0Ft89XhBCwvW1cZ6Qybd9RBEN+/ds/YHvbBOHvAkie55FSick6ObMt3h83oxIJQOxOeIRTNWWqREjQw8omABF58lNy+54y7bl65Ek/9Qx237694fW3H2i1Yb2tWMXzsOxD+MIH9qU6kOqKInuDG2NCxyBFgDwtKx7sT3Mu2PNgtQHG3MlbQEoUZAlrRC910PC1Itw7lktC3gsA9oIVEam6fL5K0uhlb+BnPvKO28L9SxNuvX/RewyjhHFf5iS39Y7SGhapEkcfAEhFppGuHEXJMziPFAIetWKJHzpswu32BbfbFwFWs1hLTKwuH0/3egbPAJkXHlQk9oNOq2M9rcmsttKS0BrVqvU82hPdpn7DLjTZeT3KeTOmEpPgMQ/YxlBx//GK2+dPuLxcsN93/PLr3+CXP33Fj7+84vF4wXE8EHyU9Tfafut9MAaa3xxSSugdLDAIXV+rs1rFY0xW4KoKlVU4YRA4RxBYkzQHFUVMo/ppe8NYD2YFYB/YyjVE6SA/HzZR7x1zj6ze9xBU6KrbuqrMpzkmUMqvVpNpUVdsf7PkT0CEWqpZlDgHLGuy3+13ejbr+WIkwL9PokdzjHUctFtZlgsul5ene8P7wZaThu6bqf97v2JdWehRMFPPrUBhx7k6OBgMweJ7Wxun/lJqmYzKqPcOS1o5XtLKokUnJfd47EaLfbeg4oDeygloVaADvSEXZ3OPhQ5tk3uis2pirEJRzsN1sFggyWhHRz42vL3+hq+//CuCqlI9VfajfldSj1eoZV8tGT9+/Nk0TP6lx4deNecNuIo5tPpBtTpk07skdfoeVZwDYMGHDhYVonDO2eKwXFckEcy4fblhva7Y7zs3yhf6zJUjG9LfhGLSa2ODey1WjUspWhLapErnvEOX8eW9I922HJYr11ZkokS0XgAQkWqtoKEQFZZgdvTkVTifbOJwI6Zq4UhsC7xn75kLHu0oSEsi2pvGfVDlWtoc0OPMFSCDgg/XL1cL9Fpr556/p8WVf04VOXSjF9p8tQBroPj2s7nK2UevCO/drCg2vQ4dqMVU37QhnkFMMxWxTlj+p412Rsy898DMs+9N5NU9brcviCGapYmDA5xUkt3w6qq1IKVk9NmZ5qM9FfvbxqqNY2IeUkBEFFGZjt6Hml1rjRQyDCoSL3aijPVuFWd9BroJqs8XwEpRl6R+v+9iei/3s//cA/rRjpgC0mXQ9wAYAKVV/JIL1gsX8t4Zvupz8G1UgbhB8FDhGZWpPx477j8edn4VGNL5Mn/+2CzPKDSR4PQ0v+bERujtjsG6ig/pZ3qZ469/ecV+343NUY5sYJD2wjERa7h9vlH0RSi3f/mPf8Hbb6/Yt83EIdRoHWDwGiMl5nMZgFgprHJRoGA1u6IYl0HDkt6Z3qm2V8ouwl8ZOR+43T7hkECGvZ7RaHBanVBg5seff9iabs+mdxMI0b77kdi5iXKJEw1Wn/tcgQx+ToqmceOcVS7/qUPfU6fA3RIA79l7iLFeXlJCqQXbftgzvX25YrkwwDvEXL1U0l2XyyoBHBDgkWtH3gpqKVS/hfR+qZaA93j5Qj2Cx9tG3z/v5Rze9tPWGrbXDSEGrNcFLgaCtsJMaYLWu8b7kNaInCt6Js0r54q4V6kkyU3wHmiNSrY36V1t9dS7qT3Iz36R2mag19YkkEwxspIpljT6fOYkSqvNALDl/K6ewEc4mjB0ZhGV0dMdoNUfXW+UCqrHvA/rv+f4SQHjtCT44LC9cW6jdVOyVk9TMhXYsuSDR94OHMdhjCgN8ks5UPLB/Tok6bcO+PTLF7x8feE4vG+0nAseaYn4+odfbW04tn3a+4aGBQpsrWPhQJkq3Vghbhlz0XvuhW2l2ryBlJGMCW0/6RCqfySzzQtNWJXe+d0otqNWZ056izXmqaWKYmsw301bF3QZm6uZcfbrJMumBG8iRiVXoyvP59TDy2troQWVczjZa41ny9haW2oSwHYzASmPjUkYOhlhl4vHcWx4poiid9SWsW1cC263LxaTqGBeSAEhAr0HxDZAglY4hhlThSFyNdlMzfsox7Of/n5mhbHAkE9guvcB63pFksQsxoRaC3apmOvxXqI5z4kx72hjgjiKIrMVSZQK/L7fLUHV6yVo1ywOm+OEBvkdgP144Pv3f8CXL39EjEkKL3fGnHHBenlBEK/3fb+j5ANF2sue+13/uceHTja1agZVWhYUXieRyj6r5L1W2CzRDOqP4+Ac6ULag7JcFytzIwG3Lzfcv9+xvT7w+dfPeP32RupYqUa1iLIha0B1HBn5KAhOjXmFilrOvYDdeq8C9rvINhdWIZdlRfCRJsYhoNdq1cPBhc8IYUHvxaplY6CSjjBvJNar1yHIRgVKRc4Z9bIKRS7Bh4BgeQstafveLWjjAKWoEeJQ1NREk4v3SCR5LWeUVEVONDgmbdfZJmcBYJNkR+iArjvZsEaDvHc0El7XG15f/2JoFQB0lYIO6g8l6OqTSbB3HvCDBgEr6gk12OmC39BbRRYkzDkvdIpsFczaqi2GISRBVol0xiUhlcvg31sfqSY01XqvdIz54ODboNrwC4xx0HsHwuT5h6mq9TTeKkjb7NP9A5jAZKl0HNuBz79+xrKKZHn9eFVNQNYReNlQpddIwYQ21hnvPfvS5F4rsPSeaixptjJPJYlbbyu897j/uOPbP3yHosmD+uppZyLPxNDqp00LkCCgKw1If08aIqAB1egX9I6m94Y6p5GEPV4fWK5MnvM++vUojBHRfEMSEK419qjXXHD/8cBvf/8X64W2NU3nR+9GlV1WWgm0PqoERKSvQlEi7S3FBQ/ZgKmaTQPqlFYDfigOErBcV2xvG/7yHx9YLgu+/ukram0I8FhvCy63C/Kecf/2hl//9g9I6yKVDYKSaWEymi7JnrFu4HGW9J/GCTDuqXNDzKdLlXJ+VJpo6vedzzEj/XoMaGIcs7hQbfxuKUUsIeBlveDtTjAgLgnLhYJHDNY63ALEyjVLaaetEYDIYmnUekfZC8eqEzE471D2gl1sjr7+zRd477HdN9RC/82aqaJOkMTjeDBQu0i/uQsBXXq4AFLQ/aKgqMfRuoByHvtjQ1wDfFgwi+fVWrHXan2X1Z3vYUwB2QJ3sdlx7lRtrq2heofYmbQ2SaxnIkFtHbU3ePldqdUUoT/iUUo2aikwkk1dAymMMgvJyb78RNeEcyfvw6jCirIm+uiNOs3K3qByagygYE85Mh5vTDKrBN/PgFvro0K3SFXy9uXGsV0avvzNF6y3Fd/+/hu+/+NvcN7j+nLDsiakJaJVMpbyfiAfO0JLJ/BU120/+W1qT+JM318uC3wIOLbDksaQorU+mfe16Cd4P+Tb2JrAc8aFAEupDerV2Dvpsy54SXAC4ppO+4Qm7vO9mdsn9M+5gqxq/bq2hwmUm4GtFqhybu1ptcJ5Fkdm1hkVsNkfr8+YlOlo36+2QrVix5YtFlcKeqsDkJdrVXXXGCP8uiCmQHtBEbpJyznm3SbbkBAimpNYr6tbwNSf6bwVGpzzp+/LZytVTWO/MR67XG54eflF5sBhyr0s3rBVKoRolcX3xuxp7xa/TAK46r2eQDHOJlVVh2W5SsJZMBciqDZb8UwX1t/pZz0ePwAAv/zyrxBDwqdPfzCbmloz7m/fcEhFeAga/g59559xfPhk03uPNt2o1jqQC+KS0NyoiulEaRhJJQChXEH6kCIDiBSNCqK865giLrcVj1eivL/+7a+GzGmfk/lW6kZXyHVHHIqn9alPxjn+rvSO47GjFvY3aeBRa0VYIgI02ItSHTvACmeDJpOtRQCqBkfpv1qKVBw5kR1IHcJTYKOTL++ZPaUSdFAavwiFssvCGgZlYaLE+uCFJsGKHqtBbQqGR8KpvZnDEFkS0lMUMJ5xrc3oBPxDabOywAYvnxet+Xzb3kYSVYsJ98S4nECBDhkjjkbp9ThO16t0P4fCRaxVVEki9f/WqtBCduRjx+X6SRYp7eMcr9Xr/uVPv5w2NR1Ho/o+1OlqaVYZU7uc3mEiL+f7C0M2+Vln+k7rtNeh6DjQfTOxA1bVB2p3PA4TLIqJSdOHPGQDUtESfRbOw9RcFX1W9U1aRRQDWWbajgYcQeimy5WJzv7Y8fqXVxOu4Zz6/cX+ZL8xqzdLMKPiPCoqpuIUp2qPJEdVrC7omRmxvW3Y3jar6rUpyVRf26g0MQHsSi64f3sz+m/vXbxqvVC3CJKFsNg9UfrTsl5Gf3mb1fIgXrXcjC+XF7y9/UbmRtN+9KlvRaoby2XBft/x+tt388/7+qevCLdV1MQrxXGkSl9Lw+0LKe9pXcb8cM4M5DUZHcPi5/s4hIHOCrUGAk5zbR4XVuXUBGl6zpawTu/Rc8/vAYAo/YdFq8+1S59rRegdzVMoyMFRjTZ5q4qMcSXAYIclmuhiwdC0Cl5NqXhZhZKVK8xgXTQH0nUl+yZTzXi9XuDR4JeI2JnwQdbZ3nmf0ppwPDLX0upxbBnrZSVrJgylyv3I9HgOAWVqE/GO/ZXFjT42BVfmirJWL0ut7K8TIGQ8X9hWmGvhOT9gq8DvHadE03vrq9OhcgIyAYun9AX/4//4H3C9bnBOqKjgHA4uyH2XxKPUiTY7NABKrhLLaJvOYDWNfZ7CKcfBCmlKK/74twXr9YLjsYuuQUS6LHjcd3y7/RnH3z7k+oOphC7XxWKJLnoPrQwWmn61mFhpDT6gQ8TVBGzT2d5rN1AEnlofUSj8ITGx3csF/+u//+9tPeb/+hZWQ01wrw9apzKS0pIYE3Fgn/ZwBId/+9/9v3FZHmTE4LxWWUwm8VHNFbWDAH1wtNnr3X6GxoTUqr8yZ6E8+N4NcC5ZnRRoPaQAUs5ZKn58D4saHaqGq9+/lozaKoDJlqR3OB+xrv+JPZI3rjdq8aU9+K01sd7KUijo9nm9N/nebVw37wyAYWWD05NU68SCb78B/8//+Vc457GuV3z+/DdwzuF+/yGaKdIGN/mm817rfdPkdn4Owh6T2FIB4iLxqOoUkO7sjZK7rjeUclhFWAsaZ0/wwVTTpDvnAw4O9/t3LOmCP/3p32C9kE7+/fs/mkLuvCedgOK/4vjYySZ0wqqXIX+uFISo/VHOmeJjgLc+gyiUVgdgkQRELQVoB0IkTCkKy3XFsWfsjx0vX2748ecfHDhisu4CfeKiqBu2SuqCX0mhK0c5IVKaBJcjY39jk3Ob0BgOzCbN1RIsdOV0c/L1xkVbqbIprVJpqIAj9Q09AmiSXHVR3YxMvPVeTqhPax1FLBi08meBjyBeXYDOlALiEhioea8sPuntEupf8Kcg2cu9nRPNeUF+puloT8d028bfp9d5qVzGuODl5RcRCJioG72h9A5V6tXvjN7hQ5wEA1TMaYgLOOeMI6+VIvPstEWHVN0MoLz+xWgYusjxvFycL7dVhHk8XJFqypLoI1gawQ5HsGHxVPhshWM8pog89bGO5zfov9pz+HzMwQLHdzWksrdGFU+h2sA7HNtulT4VY/mQh9yT6+crx+djeGCF6ITufhZNMpXe1tAdRUqabNwoMJZEl37toxz49vffsN93q6Kp6MN8XsgzPPXiuNNlDq+20tAXoXQGZ4liiAFhQnGr0KNUQRQAqbNi8aRJapfgUJNrHwOBkPvO1oH7ZkqzWgFXc2y9UNK1R0LZWjOgx74nutX01ILosr7Y+qc2BKRa8lnoxl1KZd/LdENaq3j77ZUb9b/5E0ouyLuCWM4SzfuP+wBdWrc+GR9YLUnyXVSJFhhr35z8YXpmJkTjRvI5VzX13/M5no/3rFWej9679RNGH3DkA/sdqI39mWUviKv2sj3QW2Obw6crrp8vIgjB61guC5x3VAxvXHd03a2VxvBewEbvHI7HDniHy6fVrGzo00kvw14bmtP1fMP10wVQoKRwD6CPKGnoLnjENUg/XEYJwSiDpXdS98GKaPUNMRA80wovAMQQkH019oaOd733sw2NAgRLjEAByiS64SUhbbUhrRGun9fWj3iM5EfWF4kv/NQuML92MD3aWAd7x+224/X1BSEl7FmsZpyXfnGhWx4H1x9JrKKIFlJEpgFYbd8K4awKr31l2ufHeCjiP/0Hh3/1b7/ix7cfCDHi0x8+4fUfD/z293ds94hSyKRwcOJZDSxLwCLuBV5orx187nXnupePTIXmpm0S0iO8MOZBa0YNVxqstqFk55BbgMtUSv7y5WHnOCmSauVSrFTmKjLA4oPqJBgg/hQfAcDttuPt7cspceB7uvVVUgjQn/zdFZxhSDQ8VjW3rKVSYEkE2eSqAQzGymwfoonctpE5QVaKR0o3eBfokdkaalOaarJzWPwi++DlQput+CPgcluteh4X9tLmI+P+3aG1JMnlz0CvCkVOX/inCrYmWGNMOXz+fCf7LbIaGFLA24/v5tupVHOeg/crhC5gaAYQTufH1KKl4pP6mVqF5f0Q9wLZH1XYx/uAZbmw6tu7eWQybzj7nVO4KhNIcw7BJ9RW+P8Ud+qY0qR3Pp69Pf+5x4dONgFwIAWPLoNSgwBNOJ13QJZSufLApU9TFVQBBlfHY7cxqmqNaB1OqEmqZFiODDVEV086ndCKimuQ47xDiNFUKDWQdxKw5KPg2A4UkVtm6RzTOX72yuHX9jYBZrSDKEmQIEroKBLalcJFoPsOFEqe62e54OEERfIxEEkXJDp4j6CiKc4jJE+PwUTaatQ+T6uk/Ty54QflSr/cs/KWHtoz+Hyw2ifPWaTvGSCdPQZjTLhcXqAmupzcstj2Jr5d6ospFe64YFkv4jNVoGbDXtBepSXSMJrUCXgKAGGubLlBEVTqhvpxanP81z/+gl3GmlYcNDG8fLqOhBBjA5k3EgDmt9mbs81ZNyPtH3lGsNq8scyUKFHlPPZzogmp2vu3jTRKSUw+6uGcw+2z9Acq4qzrCsbG3OpZwMdrgNQ6uiMNqgvQYjS0DjxeH+ZTqvd9/mxA5nzv5l84B4RD3MxZVbF3MiIukUI5o4cHcj7+uwjDQdkX+30fAXXvrOBK8usj57XzQD4KWhMrk7cN+3ZYoMK+HmeBg3fcVPOxo4gCrQaKrZIdoUmirln0HBOlwhiwLFf5eaa4R0iI4o8HwGjo3rMyO4NJrXXcf9zx+u0VrTWhu3mrotTScHm54P79DcfWhm+frMe1NASniY0+v/MY0aRShSi8Gz8DIDYp52SH3BMeBlTh/Hzm8z8nnc8JbK4VeylIvuP+nVXmvGcTZUPrVqXOR0H/8Sb3Q6Tu84HeYSwFXxu8T8hHZjK4F/TWhGpM5g/prcCeKy6fLgje4/H2sCCVVgUZXA7ZPnF5Ef/W3nFIsFsE9HAiKhcSqy7HdmB/2xG/3k5zoveOLKI9wXlUVKtYeuewLomCR9Mc8k9/6lFqRQoBS4zomdTZotYUMm9SCNP58OEP55wpVbKq6Ywuq/vA8z7C9cIz/fDs/Y7Ro1bOiRCk0twgNidSGEj0eqXK7OOdYLfDgcrBHU08wgO8p3+1gbaFvdx////5B3z6hfZ33//8HW+/qXL1SBR1XVKKJ8CEstyzsCMocLNcF/gYcOkX6Un2VNtVsR7pt9Tzct1RFVnHHrzoqVAfnBUVfPCDmp4LvGgtzEqkquI/PxMA8LXba07sCNFZ4Pqi1dJRybM9ujWUoxvwPwuwafuNzl/907yXY0RcmoEESt/UKtssmmjXKz3UbH8oeH39Bu88Pn36BQCw7WVq8RK11lBPFmx6vloKHm8d15cLQkpMvoWCHYz54OH9eQ0dSfA5JnS/N5k72Wcce8B6ecG6XBFCxH6nSNX8/hDS2BTc0Nhwzp2EfXhNfG5LWuHEWo/Tp50+n/FbtlhUCxzHwViBBaQyaL4C1I5K61noLqWVSTs8/u7v/j2+fv2TqP4mLGnFLvYtP9+Kv666+eGTTRsIHujdWcbunBMsxhnSD0jS+SRDHYVSdmwH1ccEkQsi+DMP1MvLBVX6DOafe6GEhBSGYE0YwR1pKg6+O7EJIqp8PPbJ60nRGZ6zCzWgd1jSE0TdkS8QWp1nQKcLSQgBMSTsxyaIy6y4JRXeSQgJ3glthH0VIU2WGACiytorsu9HL6ai35AKpp4zBFJ3NeD23ltS83tl++cFofduPbnvrRVOqnchRYTSUF215DvFBctywfb4YXx6+0wP5HyIcI+ziqhzASmREqvVTVXLnBvCAUw14fN1c2OSvlrHiot6DL68fMXt9gkAg8AQAo2LHROZ9eXCquV+YH8cWETtsy4F8bra2KBI0EBDn6lOek1MjicxBIzeGXsOskGpLL2PAZDfq1/jdt8AXAgqxDOi9lGOLgbRL19vrKaoyFhrqKWZnD0Au/fa/zIjhkzE5P55+rY5qTZub9spYeTJ3t8In/tA5+mi5vWACkSRIqv9kbbWTW9iVZw9R0UqU5oF9y4MDO+RXi6iAFjQG8fF27c37G8bNzYRV6OFysE+8k4qrVY4mWgOCqz+vAqQowCMBrGlHKwKX17EniRiWS42tim8M/pNl4VVi/vrGzfrXm28h0gGyY8//0BIrGR8+sNn5O1AEB/O3lT4qBkgqPNjrl5yDnezJOlSVQ5T8NcxvBv1ec2JJt83AjKlr3nnUOfn07U94Pc3fe0PDd5jP0jryntGfuwoOTOBBAHEuMSJFkeaqnOsPGkFmOIk3C9o5bXgOCgaFFMyKpvuh0qr1u95fbna2lJKQehibVDJkMgpYJH9L8UgwMWU3LmKsCTRMGjI2459jVjWxaiVzjnsR8Z1IfMo9AZVEHdPib7eo/ne6zMCgNI6tpxxWxa0GFGOw4SzksyZ6GnBoWJIH/GYq5rq7zziqCm5nKibnL/NfCBncDPaWgUDqwASPHqtlsA4OOzbTj/JKSmwKldrFgQ7AaZiTOJ/O0DotCxkX5Udv/3DbrEV4LCuV4tDCGQVABTk29kWKL13DSGw6pPWFVginIwDKrR6dKnOcm3k5Cxl7KNB4jsuxmM9cJPWBcA4ssr6GmKAl4qdtjWoKOV8nJLL4E8g72xLplZ+fB7aK9r0QZMJd2RTjLXY2GK5wdKoZRIIix61CCMtBfjKsWE+0/wASzCV4qxxKOmfFbVXvN2/YRFPTDoYNAANHR6AN8u9jjmBJbC/3Q98+oXiUfvGCimZdUMYUpPFWSBSx9PvVTRtHcJ4b5KEDM4h5wOHWLdooUmroPyOvO5aq+1pLFTk0/XzmauKrjLceJ+79AaTCdSHT6gkqSktTAxLlgQ7DK94D8z9m1V6YWNacLt9gfcBb2+/4RBQ59df/xYAENOKI+8WwJ7Hwl8X233oZNOHd76eLpoy6WbjbW1eB0ghc47J2vGgybkhD1Kh0Ik+K6Bq/9T2tiELsm8VCFUc0wU0DCsE+ilR2to5h+Ox4XjsRsUD8DSg2VvAa/InxVUdZD6e6QOzMBAcsC4X5DKSTG4G41pJA0kIKXLDWCJ0nWq+IWovmNBO7XNSMNVT3VhmcQ2t2rpJ0GHeXExIyGlCKX6cKg0evDTpj0ree0evzRTjSDud+hJbwe32Ba+vfzF5aUXltPI4howGk02qoeS9q+eWLggatPC7DDEoLipjojZZkDTI1oRzSSvSupiflJ4XoFhATFSbVW8ygCglfV0X+r96h1pIe/UxwBUda6PPJkjv8fz9nqkmFix4R39ave+2II6AAK1ju29SUft4lU1d4NfbiuvnG459qLGqQFCrMvf7oHjPNFFAAxAvaogiqy/zI+/Zqk/2mQ5SPZgr2LDAYE5C9a+SH/4ELmji+96h64hK9M/9U3AiRlRJ3Uant2LJFY/XB7bXB7Y3Uqm998g/7kbJal2R/4ZaM0o5Bgp/As9GEMIkdPwuhIigYl1tUHiVgp4zq6SqVhtCwvX6Sb5XPo3lYV3C71Zywdtvb6xo3i7443/3RzJRulotjXaJVptRRvWwHkMHEz2bxwwARDeSL+/c6Xe8Rz9XLmv/eU1jRZOfqUml3kP9ftF75FpRakUtDeU4cGzi4SxWIk6qFHyODeu6EKAUUKLL+htiRN4yHj/u8N7h+uUFy4U6Bct1QbosSCnSUzBXG/NaUdHq3/V2ZQ/44xggaWdFC2+M7lMKBDSXiLZ1OK+BIinmy21lT1nryFumqqf0MwNAlgDX+jR7s2eStKe9NUs05wS0TDFAqRVv+469FLOpUYVbHY97YRvDsR2s9P7/yTELkQAjMJ4Pgmnh1KuooLsG2CHRd7KWauNW2xAe97v0d7tRcXQj+NcYZmghSK94lyq1sHlc8EiRldImgIqCA+yj3yypyVnivN7gHJ+nKmEDq4BujCVqrdI3LKJrsp5rz2BYPOCK0DKdtCRMVlZFkpuneav/VhVn5wmIaQwGvAMw6foo/pozDWbEeFOxI4xe684bMfawzrU1iLc7nIPTz9PYp41EU38eE50K1K8Tda6yDrB7TmJDCMg5S4V7qIGz5zHKc42o9YAK4igwv6YXq2gjAN4FAB15P0wxm0WkZuJHRUHUaQ7rPdLPfu93emMcKBzJ+0B11hAS9xYFI50qupOpwyJKR1dwrfNzlhSQnUOrxcSstL9Thcl0HnUMj/hTqxeUhaZ2PxQiUkcDshaLJaZ6DzgGIm63r3DOUQRIRJfu928IIeDTpz8AEH2E1szlwoRQ/8rjQyebX778cSQKT72QcHy0vdOAPR+7KdVqEllLxetvr9bfqSht3A7x7MwnNTKVmC9HwfE4bIF1wRs1lghgNXEdoypMXnc5F2yPIVl/StLk+kdTMBNEVtsgCAcRqXlwasB8Coi8Q1JKCRopKnEom3nHfgavG03wcL2hSkACQe1UMECpw76yhzX4aAlIDx5w3VAg/XztBbFrkgRHKy3jWs8iNvOhVWpgTEhVUNVEvgeqtYYUsLqrUGRZBf7+/R/RW0XrTe5jPSWbAKwvtuTDlNKgtAjHfs0mDd0ABAw4q+bNyNfoMdHfB8ANivWcLFxeLgii3KcbguxRYL9bE3XEYUpfchEVSqq/qZCMj8E2Xr1349rOVc4qgaQmlnHaOEmjJPVHKT55yzi2v04e+//Mx+XTFWnyVQOUEs1/L3EhrVYSMoCiYLMhd2sdMYpCoSR3rTJxm8cK14pR+R/J/znoG9dxru7P42eeN6rWPB8qox4S+/mOh6gSSkAx+ke9KRY+fjzweH2gHMOjqxzZkG39PL03qjSIqGbuAQFMFHjugBCGuJRunCktBobFGJHWRSoYi1CMqknS11pI4xfBIX6uVpdHopl32lBBEuvf/u43XD9d8e0fvgtljeqVCtDM9/LUW9WF9vqUaM7He+sVMOiy/9R7hpLt/Cx/rm4657CmSOuQELBl7ktHO3AcBSUXlEPm8cH5GqLYSXipmsp36LWLyrC3fWR723F/fSAEj/V2wadfP+PTV/reba8bavBYpToTFqpuegx2C1VIr8hHFuVLri+5NSryf74gLREuBnhfTPhMx13wHumFgW3NGSVHxJQACbhKKThKwRKlrWG6t86d+2T1lquNSZVk037WOrZ8YI2k39rrVCF+eWc//mDH8/fThNFPQNj82udAdF6LTgDLtNd3ETl0MSBvB/bHZnNVE6LuR4KiAkUa30BUO10fqqrAxJ7yDr6BauqtToByH2C8D0gpwbl4unBd62h15lBqtupTl+Rm/u4+RaQlIa0JMa0AzuvtfE9GpZFApcYprbVhizIBlm4CyE4aC24UBH6+/5JE1mZVzV67CKJlinihm4K/6mJgU1A7WMKsAjy8p94STu+Z3Ic1wmXgkGRcqdZadGitA8UhJTdVkoG0rHa9CiIqdXpZFlwuL5zbOQvAFoQl4xEj2z68Y5U554r8447L7Yrluho128cAZ60aHu/tifNe9Xz/4ChqRWbGjpx30qC9R84NPsRxT5yDl55MXaRLyUhpmcQ/8xA8ahofqP3goOc9A8Uakym9lmDs6FsOPqKHjlpUiDQaZbfWg8/Eedxun7EsK358/zNtYSYR0NfX3+Ccw2V9gXMB6+VF7I9GDvLXHh862dTERf/sdSDpTNhg/3bO4dgzUu/IR0E5KP1eJenZM9H7CFJqR6UQwlsfiYchPRiDulRSLRS1906FOs4ehsfjQN4yWlWFLkHOXYBDR4oLisvy+f70GYCK4IzPV+66IT5hMQXB52Cn9W5UFO87usNEaXE/9UrW2hGFD+ICp9pQFXNm+QJZPCmAO2iCunmcA7j3g2p9joaUPT9r7+jVJos5VXjH71S5Vv9PKaHWFdfrJzweP07PCyCNlojRYZO/S+ARfEBtFXmicoUQGbCByKQuBhpI67PQTe40Rp1HSqqEV4EKo6wqLW1/HHbtfiECWnMl7bqTJhliGAbBYVD50iXZ+NSAS60x2Ic+0Ub6EGZSxVVgCBGcB8z4q953BUg+0qH38dMvLwBEMXoStAAIZrXSqNYpABYTyWa0VV1/AG7cWmkr0pOmgMC82bQGeDQ0iGJ171b5//k6x/XOwgrak0jLAenb9KSAAhAKF8fWvh3sRbI1slt/Zi1cE19/E7VZ3dS9M5DBi1KvCuvkTPRU0VxUVhRqLbhePyEtK1RFb1lWhJBkDA6hkRCcILWkvdbS6G28JhyPz9gfO7btDff7d86t3nF5uSHvEbVklJqNvtnAKrKalTtHq4F/+P/+Pf72f/hbXD9fsb9tcMFj9fSedJgqOvKeEwX5KRFEaydLGcj7G879gk7YdfO5n8ecvnd+wK13E8HR30cfUFuTyhv993IuKJuoh3ugHBU5O/vuaWEg1ZUeD8ALJVHXm2M7cH97hfcRt09XsxsIIbAn/6jIpbAKIJRmAKzcT0m7grgHsjIKRYAsY38DgIsodUr/uwKxjmIty7rgcBm9VLTc4JaROPbakMUCBRg05tY7olQyLQnBfI8ncSdJOgk0QqjZ3UQA1Uty690qq+9V9z7cMSeLcjwH6PP+6Jsf4JRU6jQxstdLchM8AdRjG57h+lkG7ji2BgXxdx7+gvIZUarVKgIFWOVZkxtlFqW4WLVG24lmcFU/O4RFaJsj+STdn0F7FzFTJyyBehQReatIl0Vs4Zwkl+zRbHWKL7qyIn6OE71nz6pWOlWzwZKjifWhFFdVHX8GK6uA53o/Z59cbYPqdaLNdiBvB8ruEI0JNobBrOWgv4vBoyAidcAVWa89RboohscqcFwWuN1Z0m8MuTZo0VrhOw4Cmst6xbJckEWBVZ8jQQIvVT0gbzuOvKP8yPjsvyIuyQSQ0rog7xJ7AWiY/ClFDJR/xxDYAQRcp2bHcbziOA7cbhTY1MRPY7mGQTE9U1fp96xzZP5TqbaWfE7nmOfAe0BC78Oyjy/2tNNbb/b5rRbsx8NaVZbLBet6w+PxiiPvp0STQKPH6+s3HPuGz19+RUoXOPeCbXuzCvNfe3zoZBPQQewwrSfT72BBoR7H4xBxlj4WCA+gOeudbE/JJKDN1KJ6+zt9DfM1tdqs+hETUdzWGSCYuITXAUfe+eg9+n1klYnU8qRUGWAqct5J76U/n78yQHIpDpqvVtrQUSsM4fKOlVgnmTADVcjCDBEQkN/JJt96h6sNThJ0Lw3zLjgTH7EAvbXT5qTfa67C8bmw0uo9faqUlsvf/XzP1ZZCJc0dvIkFaIP1slKAhBsRvS9VeVYVMLXqqRtW7x3HsRsCHKCN+yPpVGW0GDVhKCLA5Md97hTucMGjlIIkleP9viNECi7UWpF8QvCRoIhQ2MoSkXoyBFQpc/TqGj0FCrzAxi+gG7cmmq1WCoeIKp4etvg9CUMQgRzU34926Ni5fZFkM1e0WodSqfcU/hnZ3qDOBidjU5kMIxALMZiyn/aNz4niXFlDbejTM5zXn+d7PvuianA9FA1//n5EoSNFWO5iWSK9qF4CuVaJ6D9eN0ss45Ls+WvLgH4IxdASnNupNBsTWt7Re8NlfQEc5dudc2YWHeNqQUXtFQGjx4jUqkwApHUKW8SA25crrp8u8PFX7HcK4YTojXa+3z1wwFRsVSRpv+9iKs/7sj92/PjzD3z7u9+oBCnCHvM9dg6nfr/3qpPxKQExH8x3gnbgZ5EaPX5vLg3QfbxviaNfOAubopaKXA4c+8Hn5Zyt89qbGi9JWA+kUIfIwNkJgHr/dsf2oNLicklYXy74/IfPtJTZDvRHQ9mLBYoAfXhVgMyQ+NLgPass63VBWxr2t52ep5HtIPvbhuBvpMIKU8I77g2QexFjRGkNx5ERFlaTlDp3lIJLSj/dX+CcfCoIoFVN3tNuiSUTmgHmZFFdt/lUG3r4fV2Bj3LMlXQ7TonG017snCXk+h7qMAyRxd6NqgHngO1tNyoy9SpG3yCfN6tCugeRmUP6dK+kSsYUJZBr7CfOBeoDSuB9VEf1ILDLOMC7htwP1MqEJgorotZqftR0EBgtQfNBSykdRzCV/lpk/S70T1dwhgljg+/jxmrcY4qvmmj64aes6t8A6f8KBNZcR6FjinnmBHrEkONZWbUNUpUTgZ1SSLevrWG9rtNzlkppOZ/HeyBJm5XfM2NmRzXs1sQ2pqsmABM4VRef90kt3ui157LhyA9cr5+M3kngn7FlCBHrNSHvhcmT0Fd/fPuGr3/4hX6emer/TDh3iWmnZ2iJtAMcK836b000H483ZBPiiaf9iuBDQJuo4hrr8Tu1Kamu1lKlSWbwUda20TtK2vZwENB7wzl3TkY5P9TqsJpViirPxrSY9+ft+kUS+c2uj7dgBoEqvv/4MwDg6y//yoQ0/49KOD90svlcFdOJrmueHmx2FjGF/RjoQ3BjAE4xRFWKoiweamniuwyYcs5se5d+Lil/a0O3ClFoL9fjeFgwNCMPnIgJgFq4dKONqR0JJ0c0ixEbGH5sAqd7ohPN09oF2gjeO9BI7YN/otG6qTImf2qC5ZxD97w3rVEi3j5T+hmtUX1OxptdmE0C/xRUz2id3g9I0sRF25+S09Kmxdc7oI0Av1UilDQh5sR0cOb/p4uCghQxLtL71YyOAAAh6GLLhJJKway+1ELqhy4O3jPxjDEYosXvc07kct5RSsESV4RA+utPiaL8P1e3VABmpoo7R4S31QPpQoqPeYUJjccHZ9Y+KBDqLZOM50TT7rtWxaZ/9ynJfzeb+QBHjGlUNstZsEtBh9YafBtKsNrrUHYi1ddPVwvM1Q+1HIUKtPMGfkrwCfLMptzAaAuorT5VDfpJdVvBBQWWhhIhKOggNKlmAkUiElY7aecxohZe49u3N5p4u+EXR2otkzylXSv7QW2GAGBZLkRfZZOkaEMFMPpPOW/aBOYNim5wib0yeYhEbPcNPnjcPhMg2t423D5fkS4LypGtn+qKC7a3TfrFHPJ2WG+4Pr9SGu7f3vBv/6d/h//w//oPkvR2sbsQlB/PdiXyp+l5j8TewIbpOQxFWmfvgxt9nzp1ZsVZ75yBf/MxV06Do6/mLrZIgPjmKRvBqdiIsz5U5zxapiXKel1odRI8YghCNS7Yt13GccKyJtw+X7FcFtTWUO4bem14vD7gfcB6XUjDRpWEgFX04Lqsq03KB6wM5lRIU60NzhW06vB4e+Dl6wui71KxEXDST17NKaLlgnoUrBdS0OCdtXDYXiQJpf6sNjFMl2pmrmMcVWlFYMDWbH6v19USd1UqhXdSLRuKvh/teA/M1j1/PuYxearEWyuJgxN20+hvYxFzvx82Pq262LW6wz4xF2g1V49sr4tLxLLEUwBXjyLiUvRwdDanWIl6vj61WWJVSsDCFoeooQtAGOt6zocBEaX3c3yl31mqkOaNbMyihnI00q8F7HfewydZQ0VQbXKtGNfqVOnci+/kSCJ1bbKk0o/7+Bwvadyrc2hea5z0WPcO5CzKwAK27Y+d/s/ez7fb1sZaK2rp9mzhqf5qR2FLmY8eXdpGkNlGkhJPeByBwG3L8F6SuVzQ/QAoHvdXXK4vEotJH+FCITetdKtQZq0Fr99/4Ovf/MpnnSu/X0zIx6ElTGsb08/g+GIsRCscj5w35LxJLKex3igkeEe6sYObxIjmWHu0Umk8wMrok82MC9aXGnxHXa9wfuyLc7+0/nsW/GytIOfDYvGULlhXSXClgPLy8gvu9+9Q/QTNH6hbwyRYQfFv3/8eMS34/PlXKuU6h217+7+Szf+SQ9XO9LCF0zkETwTq/oP9R/y9G1zs9wzV5SFnQde9JkbTAq29S4rSKjUo9I5ZAGOcUhbirnLcJM/py7R03zFsNIjcsaH6cr0gLNEmvlJwAVKj5mvXa7TGZAl+YqA8OWplIhmovsrFhyiN+orq+12tKAB8O288lhhOiXObZKi7JLXddxFZ6Wb/0mq3RfOnRd1LdcJrAMPNRQN8PXcXCocepNl4m6B6jSmtiGmhmS3G73guVjNJ3eD9bxjfQZN8J31iiiL17tDFv0g3NrVoUFTrhA6aGicl39NKA3ntCfar+N9NwVTNoz9UA2f1SWRV2wNgANUf8l3XJI3+Qs/WZn5Nmmqlt5cgpToWMX3nkxqhjuPaLAFt9TyuP8LRe8ftyw3XzzcUqWq2iX7UG/uLvPdGu49x0KfIepB76J1U9HnvH68P5C3/1It7OibE+hntfO9a5S9jrjtnn/fe+3wMeHy/43gMWriPY67ko+D1Lz9w7CLOogFkV5YHsF7Xk0elnufrH35lL2ej/6+iwkO0Y9C/WqcsPmSNU2uUGCnIoBLvUfo+98eG9bKQMpcrtteHoOWkbl2/3PCv/vt/jRACfvz5B7/DdlhiAgxlXoDVvB9//oHluuDHn3/w3ghdclgJzPd6SibxtE45N6nUTnNdE04BCUurI2lVrG8GMp6SJQ4HZ3YpaarYHAL0dQlCtec+xEjBu+KwXlfU0lDRJCBugup30lO9Q9kzXn/7Ic/FY72sWNZEn99Gb05Wv3k929sD+2PDclnw6ZdPSEn6ch0owi9rjN7LVisu1xUxBrFT4blq5lhbb0wQWgF6rfAhCVjCKmXuFPOptWNZpz23d2DaNwJ+fl5wZwpybU1EjooF8ABMqXe9rnj9yyvBSX1OQRR1P2iyqYcyopw7B+XPx4ntouwnpU7zBVDQCwC2+44itiGj2jPaatSnEq3IPOA4VL0BeI9eK0pp1m4SUoArmCo8Z7uHOQnQpIF7W4D3FX0SiwkxIoAgm/mLhnBah+XFFlt6502fwgNA4H2bX99qBypbfJxzwMKefndZ7HoIxnsbx12+w6w+riJe9jwmcPKZ2j0D0vocdG6q56lzsLFMQSygCZOvuAxckiWkp6/vRzGGz6tavBdjMPZORx+suBjg6vR3R1G44xjrqPMV0Q/P31IPPB4VMa5Y1ysr2jFgu5Mq7RypzxTGqcg54+3bG778+gmH7AdpjTbWCAy+AxhILOYcUDIpsCrcE0KQXsiMWjI1Onq1NojZ6gX9XCzSOJEJMVk6ejNZZY9T8ljh5XNod3iQ6VOyedrzfjf5WZW2Hnpm6u+W5YIlXVAbiyiq0J7Sxfw6NbnnewpbGvYH3t5+w48ff0ZKK263L2Y39rzH/XOPD51sjrI2/+0DERatCkVR5fz+j99NEOP5vRqszcfsa1Qk6A+ihPa8IFlgjjMy6IM3Wu6+ZbTGHhqq7Xnk43wtrLwpvZVmrt5zkQ3ec7F1Di6Ek/xzjPE0SHXA2KLj3WkQxUTJbu7bMy2Q1gT5KLbx0vR4gXfsCbKNJkZgOqeTykktoqQYI1xo8OrfpXLpk5/S86Jpm8ZJEM2ZImTv3Xo6xkmmZ+EIafXeBQhQSfUgfZuv9rx7p/dRhyzQGH5JSgEh0hVPG7Ea79JnquDYH1DVsCp9Y2poPBJ29pI0oUm/vv4FLy+fAU8Bj7xTdGe5LOb7BzAwViEnmEVoJyJbp74E+VOT07hE+qhigA0dioJ1E3zRquaMlBo4IcFcd91Etizx+ilT+q//cM7h65++Ii1RKK9z9U023aeqig/OEk89VGRJN9lyFOv/np+Xc5ju83nd6L3bzLI73cbv5kyVY9TZeHtONvXcvTb2YDalzXosa0I+Cvb7jtffXm3e6/fovRqzQwOfZU0ovgrtcpHN22G/U5a+NW89mSkNo/ZaN/nZBd57M7g+jk0UC5OAaB4pBaTLItVJ6TUU8EXX6nJkKgd/Ekp89PjDv/4F623F9rYB+LP8OY5lTdZfe7ld8OPPP7C9beY1aWJOEqi5d0SBni1O/ovG1tMGPgcpek6tYM4qtV6+awwBuRbskmi2QqXgmgtKGAIhNo+9N1B1qPPSf9SLN/G3f/yObbsjRlrM+MD3AcDx2FGOgiyKzM6B/d0brZHSZcH18xXXl6slkg5UAlbAw0lASkGViO2xo4tQVNkPpBSwXFY055Gluspxx3uVYsRxZOz3DZcFBt7pfTpVdHTfwKDK6pEr2xBaYUXTnom8P+8Zl9sF6ZLo2VrV9uGsavzRjuckifdx7Oi/t847Sb4QQEsnL9oKbogL7ffd9vkugXpaV/HOFMYNtAonQmqJooW9gcrKbaNYnR/UcHiOsd6V0VMBNxJLtTEDgCR0fRWyAhxS4veKS2RcGDx6oVe2ZVlSHTTlUEmgCYawwGBjbtobvB/rhf6+toaSCVioDzvBSa5FGtM0AYfng7HZWKtVZVafzTzu9WeQWE+BfWC0BDCf5wN2jvGgiw49U1ystkaw6cnr8xzX6jxj3HhsEicFUeyVgoXzHfAimuccIOwYPV8pGcldGHP2Mn0Pj1oKDrfh8/ULzyFezQCELTSEnkrZsT8S1pcrjvsGOIdFgMkxfp/WWs+e8XKwz3+uQAbPdqQiCZ6X1EkT2CFE55/OqaDD0OqIMZmI3QyG1EqNkMf9O3JhIs2Et4zn7SN6r9aLPMZTsWvZ9weO44F1vSGGhJIy/vKX/yTVSQKMqkUSQ0KI9HlPacGnl6/UhamqC5PEYigiScL6Lz0+dLIJjP4lRY5I76G/XbosePvt1Xo0TpvTU6I5C1boxq2TuBY+6NlkfY419Fzee1Ro8kgxkXxk5G1HPtiTkC6JPSkxoOwZXihCrVcmmevCxHLqswumHiY8/6Z/0m9HrQOMeldH0OkwKEe1ssFe57cmnaSbdvOO1O9fW8PqSJ1QtFe/r957o4kA5rdJv6GK5TrUJ80XsjWjLM9N9UQ+5X6eeqMdBXXqFDAoyCDVvlbatBhPC770XnKirZIYiq1MIzrqAxVrHZS+MOxMdOJyfKnK7KDQwXkLoFVRk9LuSjMirbZJdSfGBTlveH39hl9+pZKyUrl8cFhvK2KKePv2dqJOqqhMrdU8x5wbFBNbyDMpLc+VVUVKlUYWRD2ZJ/+5ujy/93nTmT2+PsrhXcDXP34FAOzbMRJy3ez7OaBvrcHV8/xUlVN66xIQ0h7DuXqsc8/GfPj5fs7VS0O/2+jzmBPK3kdw3EVB+jz3G1kdeQAU2leadyLEs7J2zRU98vOPR7XEWXvb0iVZda13+sXCxkmTcc7gUedrDMlQWQVV2PM5JNebqwiBvZjXz1d+p1ec6OQ+BuQ949MvL5YknoCynT7Jf/jbX5H3jO1tk15jVma3+4bLy4qSK9KaUA4CPZeXizFUamunauIYI4N6ONNg9ZkMOu3P73u2P9FDf95P5xrrc/TexkyuqifQkfeMx+uG260iHxU189kYUCXAapX1ebtvOO4bfAwiIrTLOBAwMzEw2u+H3MeMnAvyduD2+WYX5mNA2Qta4QUqYNGk6kWqfzXqGcB1Py0Re1GaYMd2P+BkXPlFVeBHcKi2Elmqkape/t59VMuT+Z723lFapYXRtDfoMe9fpRSs1xVlz8hCUa+TAvdHP2YwFcpSmnuZdc+d9iOudeP+KIX/eBwoZexJ3rOKSBCnWYLlgseSVFWWccB23y2gDyEZe4EelQWuOzhZYwHO93nfCp4Kxqpc651HWLXCU1BKRZJqHCBrpXPCHJtjhpHYUc0/CGtDe0MFKLe1FKSC45y8e/luphbb2ffeaiN7RK+zKvA/1rlahgigc4ATevzM7vLSHsXn18YaPCW8vBbGgy546gJMLEB1Ueiidq/3g2tQF7VbjYVx+n4QgaRyVJQjs4c+ekRRF9c4wfeO7qUXtzR5thWtFezaD+6G6ivBzY5W6H+qbU8a66S02F68PzJWEZLLu/R5t458jD5sY7gE9v/yGYwAk6DCYIGxAiiuEwryT/utV5sUyRdCWAVkXjEswIoJB5muR6PVSK1V5sLIGXrX1hvtJ1aBImcJtn6fnHdRcOc6HkLE9foZ2/ZmNj+Mdy8o5cB+PID9rg8O6mzBgknFcTzw5cvfYFkW/PnP/xF/zfGhV8znoNhHjzA12ZYjDz9NTMH3FMTZgjVtWM+Vht5gPkRxUdn9gebx7e+8v1NIA5E0htCp4rdcFvRSUcXCQitmSWTlNZngOcam3TH8FIm4CdIo6Jzaq3jxIVMArpZifaY10hsqzBYJjWbNy5pMIVVfHyKRx947mpxUUaOT0In0qSl67rxDyxVufYeWMzVqj+rR+dmMxV/653TRnhZv27zsdsvfvdAaWsNe7sh5x3FseDy+j2cEh2W9WhN2axXBOwQfwXW5oOQD3Y/EcXgeSdVFKTg+wHsVP6pGJUzpwkXh2LmQe07Ht7dvCCHi89dfaE8QpCLZGl5/e7UkvnfASdKjlWxM31fHWWvt1E8cwrypcjB1GYvPiLXZ1Lih4DePY6Kl3foC85Lw0Y7L9RM+//rZVA7niqYeRhfvXRD2LhvqubKo1b5amgmRuXfycw3G5oNjeiQtug7MfeinyqXXvupJcbF1zOzCcmQ8Xh9GR9Pked8ObG8be6YqARsFLEIblZ2+HbYW+ODQ7qySWS+6nDOKmuS+M5FxgRYVLnjE5Wb3tJTCvqwrfWP3TX33FsQUrGKpPrMxRVYFYkDUOd86BW5+3PHy5QXOU4Tp8brZGnR5WXH7cqONy+sDznF9e/t2hw8e62XhWiWBjAYwug+o4mJHN0rsf+7wU5J1qnjrPNVA0bGK+VPSqr2htiURxMra9jDtMSF4LGvEcgmo5QoXAi43+vhur3c4761ft1ShIsaA/b5jWS6mBwCwKliOghyoEllLQ5HKhYIU109X+vxGh5IPPF4p9JPWSIubXRRrnTeVz94hdlEOl5cLA9PcUDPH0+3rDcEHid1GhTLnKpXojpofdj9ra4AAaRb86VyAs7630lj97RMV8blKqWtp3jLCS8ByXdnPqb1v0t/+oY9ODQMNaJuoZf801lX0TBhWURSFvRPuknMo22HAQG9AjJ57pxTFeh+q2CFRTKceBY8fD5rM60d5oX4DCD2dWEKzqvZypbqxro2lVFZbHXsTa81S+eT+pYAEwSv2Bjs4GdNjTLnagNZQa0cI4t3b+lhSn4HADrg2Yq85ftGEsVXuq6rkrsmk3DpWYLsmlFXu72Cm6AsNl5Rf+hgRkkerDhEgs0QAKb1OrrsFrTl071DboJl7z9YwiF1UzRXry4VU51rtOzJJgT1f3+S6HBASUI5GL8wckGpHvCSrBgN8HsFLL3ZtYMmD4onai2g98KK6fX/9gRiSrVX79rA6ZQgR6FSD3R87Lp+u8AISpMtiPdkQfVrn6Htdpf9RGYT6fHjOgFlDQCuqOu69+Smrw0IUHRX2eKsqOiuKoyijBY/ZUk//18NB+oE99UBaU9tDN12DJolDZ4SilQElU7xyWa4Wm4bgjR2Z807mpFRXcz5QazaF932/47/5b/6HUTn+Fx4fOtm0DSdw4wvBE7mQZGd/cAF8phyo3DQwzNDnBwuoatRIhGrRJu+MEKMM0knCWxaV+RzHnlEHPIJ8UJJ/uSwoR8HagVCk53PqMxzVV0k6nbOqZc6VqJ3XoKvD9zoST4xEVZu8uySiuuCXXKQ3i0mnvslFj+Qd5a4rKVutdoQ0aGZ6DzXhrKWhN0HIVWSBWbx9/nz9hiq3872ig4sk9tNCSUGU8/N7RtlaH681Y2XfSV1tzRaGIbo0qr2tNasMF5eN9qpVz/mZlJKtejNPTKVQKC1BPT17q9h39Uai+pmThfW33yr2/Y6Xl1+wXFZTSdSKvFI3exuJ+NyjCuC0SGtgqUFzDGej3ucFDn6cT79fTNHOwXEvwaj0oGiV66MdX/9ICub+2M9jTRI3FeWZ7XrYmybCYNNBhJbKrkrlnOcNMIIMox1OG5B9vp/n2vl6Z1TUCdVaK40Wm2j/1NsuQlTOKqD5KHj77Y1JaFOLJ1LhVUEXUENxj73sTEibw/a24fF2F7p4REoL1tvK9VBUkI/jgd4vJrwzgxg61qjCqABJRXdNPqNbH1XvvL9ppQCWUkiddzgeB1ptWCW42F4fuH+/I6aI65crnOMavVwSrp8upPf1juW64A//+g/Wv6o2Ib02lNawTFVoTThP99yJ2resgSbi488iG8+gmY2PqXLJx+xMQ81jTPEYxLrKay9phENFFVVZTR7Xm7cA+vrpAh8igG4Ba5KkjcEGx4NzDpfrFbWxyqK97GonEJeAWim2FJcItEaBIAlu4aig7fyOmldEAUmbPBs/oSssIHmEJUx7ckU5KOR0fbnqHYNW40m/YcuHVrtmq6dzpWEkzN5RtVZjgD6xXBQ0m6sdgDBm8jC815qHKoF/xKMPtPcc9LrzPtH7ucrJKnWy9ynAnyXRBHTNlPnRtGeTVTIfRaCqN2zfH0O19J2DrKJ+YlQBBPpiDOZPqeB3kHW3oZvWwHbfoLZuBPKDBVXKHNPJaGCuWIVposnvOdRk1Y7kGSiUS7H7qMC3ArbAiBGdH4IzAKjiPyWV63X2qPz91hUFtkZ/J98vu5T9joUAJxZTEpOJHkZvDU3jod7RdMyfv8z469TSEaRvtRVva3VHx/aD4N7ty417QAikKHsP7AeKgJcpiQe8KPmzIORwbGy7ODItT1axSDnyoNzznjrkvWC5MEHPmc9puSSh+YpwYxLNDLWHm9DYczI5abo8r9ueSrsxLkjrArSOfd+h4j1t6qdUUZ8uYA6gLLcRr2n8OCrVAvBOtL55Hs7XwzGdEAI1Erb9DeqVvq5Xi1MBLz6gEcch8832MVE+Lhn/+I//GwForYD+C48PnWz+8jd/wyBHKkMq8947Kzz7g4jZ8ybTJyRqrhLMHkdW+YQkqFpmrx3ON1MeA5S3LYM0eLgm9hKCDutn1yIqt0sk0hsDxQuOjJxBI+Qui6V/ouq2xoqKiJUw0YVIvHe09pQs99ELoBSFrnRijKohEMAWv04BIu/h0BC6R3NzoOUZaEDQOKEHtNJQZxGQyk1+vSzogfehlQZEfgfdwDU59OHsRaS/A2ZlNg2kR8CsnoW+eeul0N7VuUcnBAbEy3IxKq1+htJlgw+mDnYcD6Mj6Os0GYU7y1gDXPD1vNbzGCKCBtXloO2K/F4FUebxeBwXpLggxIScs6mAqn+iHZqAPqOe9n36SQQrPG3IKsKhlTmfgtFdFMFkUjsq1q0O+hPqz5S0j3D8+rd/4LN/HLZ+9N4RnMyziVYFPAVjcujfg9CuDhF/eqbjPT+7Z4Em21jUskmTzuc1S95vQdJ0aFJUpVdT1W71POzHG2qtWtl0TvrUereAJ0/V8JqLVH6rzEnpDTykV9V78zKrtcDnIYi03x/iC1YmZT8ivxTp8kKFY7/meluNhlxzxeXlgrhEpHWR3idWod++38kU6Z2VDgHUamxYbwEvXz+Z6q5Wrf/8H/+MT3/4hMfrA+tlMcpvqLJOQdfXn8Ga4P1QrHVObb5PKrYz5XZ+P1pjMunOQiweQJXnHuR9KQRB4pslnYeopKqyOi1HknxvKrsCMJudly8vuH6+mArn8cjonQk22zhUzIkDc1gucC9Cp5DJIoI+3L+8VWk4vvisri9XeGHEaODbOxBEsblXYQX1jmPne4/HjsvtAq3yG8AgljhaGslHtko3IKJK8z7dh1IwPbEVQNb5xnM3tLPvoMyHY8+4frqKaNvwzfuIax3wzAg7K2HOrzmBWs4JeMTfOy+JZhZ1c9lfKAAkLR4egFiq+cjnd2wH9v0xVbI8UkpQlVrnWDjgOGq2t3upWlqCpVVCed5KSy1i0aSVewX7QwpIfv6u8kWnZJBDzqH14SV6EjLsHXCkhY9/co12At6OHG0az/Pnzuu5P+8lqgHgnLBWvHScakwnwnWA0G79+CyY8upQKreLeQK71ErO7FGkPUfjBLwz7rlWN0vSW28SC5N9UiyRcyY4eQgIEVPg8+sdtUWEzvlPoDNhVAIpiLnvtKrxLqL1gscjY11vWNeLtULxvezrzXvGcl0NHAwpwUt7VVwIoB9bkTHnTveNc8Eb8KnH/NxDSFjSBWmRPXFXj9dRCbVkvbVTdVN/V0o2GxONO+lgsDDxc9RJeO++AxIn9G4VToDtKXAELvb9jt47LpcXLOmCjqFvwiT0Bu/34QuKSRuiN3z77e9O2i//kuNDJ5shBhlMSnX0aN6jlyIUsXqWj346FPEENFE8B5GWfPYOgBOty8Zsaqh+XqhZJTgy/ewoHd1OvYnqo3j5dMHhHfCgybqv3bjkFlRKz5iiU0aF8w5V+mbUyHd+rV6zVQiabLLSyA3Aqhm8LlglTb/b6L2Qge5HA7xzRNdLHiqlmmhSUCkY0glIMNtmFVjI95uqyAD7Mtz4mdKg5gnXhM5sSbn2qYotg6KxrjmpaC7wfiM9Vqp9Olmt6VsT56YU2dGsXWsmXUiozko7Usob3BAVGtYuo7c3pdVUNltr2LY3q7KGEASRGuIGHQ01i9qj9/YMW2uIPmLeKGkNM6pjOnZba7bp8t4wgXDBWyAcdPOeEhcb+7KTjkr9FGy/02P4X/vx8vUTVe6OAQ7p0acK3En4KTDxBGBBAxMuh2MnfR9u+BMCE7D1ZHPyXC0+Pc+mzAlniSr/7cfzUHXHp3Pn/WD/igA6TehSRXpaSi42x0qmQFCtVZKXbsq8elA8SSv1g9atAXpaEj59+YpjO7Btb9i3N2z721CCNqW+BucpglZKxnE8rM8EzmHfdwlGKtq2mTiQBjQhBixXVlRJrfMI19W8RBWkWW8XrLcV63VFiBHf//E78pbx3/7f/1t8+/tvWNYkvTr4aW3Sw+aLjgE3+jOtNUPpr5h7N53ZmszPWauXOo16J2HGaH69I0nf1PkaqExbJuXxUsigiJfENQ8Oh9CSneM+sm8Z6wW43C700rwtePv+hv2+Y78nqjJuByqYpJN9wx52P/WC1dIGSwcw39WePNzOderiLuwpn2yVgvc4dkHaC5AuK5/x44DzATmLxYnsrQbGeFabvZyvtw4Xz/PE7rGCk72jlGKJDzBEh/j6Abjw+UH66tinuVwXCmkd/8eYnP+f+TgnnLKn+J/vbxBrmjnOAsh06rWhbRm9k05I/YmRsHBNnESq3l6Rpb9YraQIelWESPYRQDGwEALisgIdtNBR6ql3cNUhrkl0KA4BdZuAq7oWJ6HFc51WZVztSeQYU+/0LvYQutbOAn9n2zXnuJ+q4I8T5gEZJhhepFKJVx/jLDZnBqyH07bLRDeorRYktql2rpiisRU0pg3Rc56K8NB4prA1TZW5yQxw6JVrugJQFivqgqS6HJK0xeitGuqqtpLAChbekVrfMZgrkP5rCpoVHPJ5cYlIMaCXinIMJhbgEOMqSbzDtlH1vGO0Nzwer7hdvyDGFaWI2J3jc2+RVXS2k3CfSZcF9SjwkXRtJl6DWcRrjfC+jCo3xl7cO/tLl+VKsbvWsO93i2NPD+6dOQUMOrgejAEnMUqhjztr0QrwbkNz4zNYQRZPU+eAp71qWS6IccH9/t2Ue/tylfeIY4Z8ntqUHcdDLrjZ/lNApdq/5vjwyeb1QrShyIZRM/3kypFP5ud6vIcuDeRpIKG9T/LGfaChRqkFkRjnpHeyDyGDcmR7DQCz/PAhIKYx2JfrwgDqmCeAfHZlgtvk87tcYG8dFWcFM6Oj1XZayO27SyJtG4t3Rp/tXQJUTWpqJcNiokNV6RnC3C8aA1xpAJTmNCasl+ZxXUj0ewHnvqPT953+V4W2UcXj+VS6XhdSVY6rUo05J6YqqEQVs5iWU3+mjSFBm45DbCHgRGIbSEkr3GzM1opnF4QJAJKIazSu9pZgzACH0i/QO3IZPYG1skG7tSJUNqqeOTC5//T1E7w7o8tWpe6DpmP3Uaq9vXU0R2RRK5dGc5qAFDOhnhFQy2SV1nmm0H7EICyKCq16lfXGfkxD9sXSQY8Qz0hoqw1piUgXqgyWgxXA9w6t4DxXEZ7/Pj+X9+45n4k3kQc9tzIwOjr2+279u12q3o/Xh3nlEhibKLPB4xov7Os4RmKhKqjVwIeALoJmHQ3eL1YJ3R4PfP/+D3h74+YXxPw7hGTkJe19Re9IaUEpSv9mX8lx0OJkvV0tkVbAKouo2nJZ8OWPX7BeV2FH+JNVRRC1zMvLhclmCihHId1qz7h9udmaMYMpnLfB6LFeKpk/0WQxGAba19neeV7Pz25OOPmDDnJJeCT5vPlcSotbYkROFDd6+fqCly8v6PGGVhpyLrQR8Y6giWN1nEwHesAulxXAhtvnG5Px64L9fuANVGbVKnbvrGKuy8WErmZv2IfQw0P0CN2xv1PmytVfRMVcWTUQim03Vc3lsgxBplxQQuDcMfDPQQXw9B5ohVcrTMZ+mZ6HApTAeSnj5HBAJfWvtLOwWivVqptJGFLvPbuPcjBJH8nG760vGiso+0j3c/WhPHb65oZp77c1K6q/NeOx49hYGUcHOi2B7LOg87/aGtZaw3anQb1awLXGinYBgAPQ8CwtaSR+cYhqUdm2iqoprS6WC9eD1hq4ddPD1m5Ba+hC4fUhGFgxmG/TuOpdKnnOLEaaxjkaZwk9W2NNffM8/rQYcLr/mgS3Dtcbmm8wX2+j0ifENaLmBuer0OUF9JZ7gPn5atwQnuLd8ATCtCZU1wzv2VtvAJB6UE90WtXrMOC6OrjO+VsK275aZeIZF7ZEELyqogrcpM2DrSnrekXO9MHUeLb3jm1/xdKvSOkC5zLQRWW/SY/rxI5IkS4Oqrb73h7LsSdemm7Q9Nn/OHyjj2NDKbskboz3GEcqaHVuhXGOSZ32T+rz7p3tDK0WLoziaoDahIF3wbIe6LtScc/J6hw32FrpPNblgnW54jg27PsdtRZa/sUFvRWzcgkhWA/scWziwzkS+ufk+J97fPBk0+OyJBylIt83vP72hk36kGYayHuHoj1zdU9/bj/zzhYBDpTxO0Og7HzjHDP1TBerECOS/L2UKmqMHmldUI4qstvSqA7AJW8BmQb+VoWFNJ73ZrutUv1mJTWlnDi4Ey/ffu4de6Aq6NdmaFyTJmzpmawVzXvEyLOpSXwVL615EjjnuUjLIsufzYku7Ge2McGht7FZmXE9RlVNfzc/K97fkYT5MFGlJ9lrUvSCoUBqxKu9mfQHZMWmyuRDJ/UhCv2HVelyGld6XUrD7Z0qX/qZtVajzNZ6IKUV63ozlInJfUEBUGJGl2r14Te0Ny4mL19egDj5cHmHrhVg7iY2NmwMt2YWQEWqQqoa/IzKsSdGA8PhJab3+2d6yc/Vn49w5D0bHSwm9tZSyAHWn6dJ5nu2PT4Gq1Tvj91YCFTHnlDfJ+rUDLYAAFo3VNzeg6nioxs6BLiZ+rRnNL1V0gN13Kjyqn5uK03k1QVMkEpgPrj5DUYHjyKsAVXtcy5gvV7k3AW//cM/TpuWgkYjqEdvIuBCn7wQIva9YVmvuF4/ne+n9bUEXL9eKV52WUzNUemwh1A4l5cL6cT33Si16029I6Pdt+W6WLATQkDestD93KlXudSGKP1Is7hPcFPlEg5QiwGd89M6NydGdo7pmY+fO3piTr28+nl1onJpUqyHBpwA14RlTQASYlpQ8oHjKIAD0iVJsNeRSzG1ze3HBhfplRiT9MQK0JJFjfm47yjRm1WEBtTry2XYq/iOkGQ87RkPANfPV6QYUBurIGi6h/HvzXWkpCqfDeU4sFwX+OThakNvT+CYF3PzaTzW3n7y2SxNe98kEW1Ua9dqC5PWbmvcvM/XPFQ1nds+LLAGYJjV61j1Y116ruh5706WGD44xCTtP5nA6FjDYK0aMQYcoghNf2qNT8poSdJKo09IaQXQQQG+wvOe+ta519Xa4HvHUSoAJ+yE8d1aJUsjHwcOEU5R/Q3nuR/XnOFCQKkNEGpoTEFiqrHetlpRC6u4es+YxI1Wmo4urDGc5rX6hQ4AC3Zf9bAYaBqzel985Peiqu05/tHrk5MgLIFtT0VV50VdFt3iBX1tjBaA6R0DpCWrogr7LaD3jFIanC+IGIkVnADPGOwOtTWy6/EeuRAc4hzPIwZpB5PyTo2I1ll9Xi4JLgbsb29GMXUuQn3fmGg30QPouNxeqCnSms3d5bqSed8IwnoP1Ptuc39UC8fc7xjFDGpvsMK+LFfQZuRubDeLudzw3QS4Fzg/rrWUkcQ5N0BKeoAKMCb3RK9LRX7W9YZaqyW3Y+1nQqywpPOD4eJ8wHp5wb7fcUhRpNaCZan8HlMbF5VzWXRRX2zGpz+LR/5zj4+dbKaI4DzeXn/g2z98w37fbVKcNpNp0zhVduJAeGwjmh7uXBk8IUQYiwL/PgUJgvz4IJTPzgUmrtGEi0IndavWhphILyilYFkjSh6IxrMtgm72ijI16a/nYjTawjXR9H4snIoOjSohKR/lKAgSoDEJCiiYF8Im1TqtzlIgotU2At3gbPOKy6DOhOAsKJqDZHsmM8LkeBN7a+zDxAg67TtW+W7dI0TpzZRzabI1V0gVreqdNJkQIpa0Qn2NlD5bawF6s6pj721CW5t5BtaqfSLFGr5z3tDjAi+okGt9JMDyfS1JbQ1pXRCjmJpPC9ZsR0BFW2C7v8E5KkF6pVJgEqNyTuicPyfkvQ1aduuDct7qqIq31o0245/QTX3WBFmIvPqn8fhRjnIUm6/W5yoH86ROurz3Jppj40z6jtMSZeNTb83xvhkkea/qNSeaemjSOB9zwqlKsOcg7+fkVRkC+3acKleacIbgrUdYE0r9sHwUUXh0JkCgaq/6/m17m4SzhoresqxAb0JPa+hufB/tL8/lQLP3+FMAp75icYn49IdPQvFUYTPOhcfrhmPPKLni86+fsVwXpDXh2A4kEStrhUAZ76c7AYw+UpI/pmiG8k6CJU0grcLpnFCBO2IIBkDMz/K0Z/zOETwroMFPgMKkQqsV0vfOo2PK1rQq7BxhfTjnEJKHjytCTENpU/4r0kd8bBklZ6A4Ap0A4pLQGlBzxr6pxU9HwFi3tbLVJwAlJN6/VjuO7UBR2vULabtdwBNo64IKmTWppjtSL4/HgXSRvswRt45EMXg7t1aV4c7g8Lx2jbkgly+0XOdglaYhrsYE5dicVMrDTx66H+qwRNP/bqKpTCWrFtr4kr7oQlFCPzGkGGfw39vrhnxkaUmR9QKAB30EAcYkNKFP0GSL1yF9aU2Aa6/xEpkPgPSH94ZjP4AJqLFn2qutkzlTKGiJpHkrqOpEGKu3iuaZDM0CaaOrbYxbvXeQ9WBW/7Y9Qc5rCVkfVU0dl7oOvVe98n6IIj0rotvfBczrhQrK5mHuqBzrvVJr+XA6JwvUO1djpuBZFSTtWavdEg906eFPcj4Rb1SLLe9I40XSOKEafVqfR83VQIXWO0J3tv+UXCwuiaoWWytyOew+AAvZdr3YvSol49geuNxuYm2kQpXUNdE+1/6TH7nuPwPEm2P4EDwulxfEmJDzwcRWxq/tq+jmKsB4sxmrjTFiNYHI53yB48YDffLPlNhQX5uWi1C9LwiBVfm58jhXUfXCeyOIEtMCOGc90c45qZiuKCWj5MMS5RDosUxxI1HxLu+zsf5Ljw+dbALA277j+59/iFecToqfS+ZKJdOA+Tlwfg4cTj/XoMCD6qBuVOg0GNeEaqZyAQxo4rqg59m6QukTVE+73OjRsz8OxAT0Jr0PICder631JibFIJoGhxncHUGr9h3QY8lrv6VUPOpEU/XS6J9SNGqTJrk1V1TtX4yy8OsiOVXJVA7a8kcHWdikN/Qp+Xq+z5zE8jPvERMxotqGMBAA6xeskpSS/is9C002RqkuYVpkepfegpBwuX6yCUkqRLNFRBNCeaN9v5l6q/2x8/cp5ZBKxzCsjzEhRU5+JqceaVnhPekMRMOCLUw5HyKpHaSiChw7VdmWNaGlIOrA54TodE/dpPor9262jFFhEOsNtiCNVQO1xpiP3kZ1/TTGPtBRjmw0YQuOocIWo0JP+yOP7s73QBO2Wiq95o7CYGyqls3o9LvgV222fqmJ+XMgrX3VIQy01BJQBQt0rdCAqXfsj53VQJmzem2sZk3eoRro+DMgUUulZdMX0v7fvr0J/VuoN12VmsdGaAwC7SORDZPI6tk+p5RDQJZpTomQQUwB63XB1jgX8kHKptdesFJx//6GmgtuX19w/XSlX62oZqoP6NzDrN81LWQdrNfV1pYo69hcyVSAbu7bVEGf+TsDT/NxOpxzJho2/0wfonNAlKC8gyq3z8DnXNmLYlG1CH257EPZs7WGtE6UuzQqEU16tkpuALpQ7Zm8543J/3JZ4DBobS1XwFFYbLZCciJa0Wo3NkVwzoT5QmIyycq/zqEh3gOAdMtcUPZDqIGk1Y1bw2rWMlFzBzbTT5Vmbe9oEwVcx/C7MJnOPfkzHwVpXRBiwLEdJ8XQj3So//M8Zk9jeUpwaC+ioPKoYgJsJ1KhFwCSlDZsb7vQ8Kf4wEc4J9UeULBLQVxV7gRYdfWBirMzaMbxk5DzZub1tR4IPiEtC0JIFoewoj3YJFqtStJyVXMV5oKTKrdqVBCEr6VYJT+kcAJdAQCy9qg6rYF1YhfS3cQe06DoKf7RNSXKvtHdiMkUJOm9j6pc4zXZ4JfzVqns1VJO9j6a0Hp5D5M7oJWCVgpVrt/zE/YQlo5DjTNrJqDnEVd5N5gVjDV4nwGIJgDM45ZrQ5B9zVNUyLE6vm874pJwCQQUQozmydxaQ5Re3uPY0dpu46fWiv2+4XK7EvhDR6kNq4CR6v/ro4drjJpVmGdes7Xy7aW6mlLCvj+Qs7Q7CajAWNtZLDiDsrPirApEopafBHcIqjbQDHUuDFBks9Zs4KyeT+8DUCh6hTFXvSeQmMsh3tYJCtyyIkt7E4BuCLVm1ML/sVywpItUUrl3k13wLz8+dLJZc8H3316NHuafAjRgJJXOObH/+JlaO8XSp2BA0TzNnwCwCbyTs64BSmuk9MwLkr43LRFaoFBErLdqyU0tROvTukiPQUdYElxrwo+HffpcIdHPNarqJNRjHkExICU3UC/v4Ro59N0LsiuLlgvsL2i1wZlQg6Jh0lMQYQsXUU425Kc1ISRv/mnOEEAYj95PG9VcGeIXGUgbE3AghFEltkkfeD2+j545RV+9Z58i+2dZGXWVgiQpEelfMFmW9G6+R94H8YMLFJvQ/zX41g3Pn3thT8kA2Fuh1c9SAESaTae4ICZuiM9eRotIVdOagAsFAPOfcoVehOttkkOXHtWfrkFABO0hflZhLkdBuiS4zqBgoAOw12Meq/rzd+bMRzpqbQgpTslINzul54qVIdOeiQzFM2jxUY6Cx+s2kHGbr+8nI4YSQ4fc6FHW45RwzGyMJ9uUWZTF+it7N69hFUtTBNpJj4yr5wTMrjmQ0vh4fWC5sCezZNJlTRCrNfgQ0VAHuguI4EEQBbxgsuu11CFa1pVJMZSZddNOaSVdtxKpbpVVVvRuSPkqAlfrjf6I29tGal+p+Pqnr7h+oqWG9t9Z8t1Ykf3y6QXfczHxixQDUownVVntTZufxfNz0Z7OOfEBBl1OE9RTgIPRawjA6LRBAtZSm51TK6E810gE2CpC2w5NAr30Kenr9XcAbbi2+2bWBumSsL0+prHHa4kpkn7taZtSa6c6sCS1x3agrekEGGjlNAqI1tFRj4L9viNdFkRR1u1dFLAlsOyFipoU8yDN+/r5BucG8KL3vOYixunvVXzP+yL/fH+9siAeAr5OFECtdgbxkey1vXuO/9oPHYfz2va8xuu+egIXnIoAtcmzWZNB9kTn7bD2g5EXOXTHRHJd49S6ckjiG82P0EnyFgUAKQdbXOpekPNmgXiMqzGEZkE+7XWrtVAUUPQSRjLrGei3ju67xWno9Hdtwu4IvaNFwFeglilxk7imHBUxdYS0SJIqbChgxCtu7MMq+qjHWA8IqDUVk5SYTnUrVFOkd8Cd/NPpBEBNhXGfqwDS8gMyUQK91dO6UEk1x1H1c6PdBgBa8PDMCRGXYddxEj4Serqev3ePmovN2bgks6ZxjwPHY0NrBc6RNhudrFdThbHIur5c2F5USob32iMGLMuKGCNKzixIhEQm2r3h9oltGLxfg60IsD3MuyrKIgOMn48YIy2eXMFxHDj27fT8poc2eawPAE/vPceiJK8hnpSEtSrfmkN3Xp7leUyUUlDr65QIR6lAJpQy9FPYn16n9x3CEKAquVrKKOvo8XjFul5hnputAplx7yoCSDqP/prjQyeb++PA4we9YRR1o3IhDK2dF9PhYfccOIyFEZg3Izd6IvmL0+CblR+7Ug4wqhCLicdoMD8hTxhBw7FT2v366Wp+cM45+CURiZL+0CD0Fs1ew6RyrT2SvXeENnDcGAOqLMKwYJZXQPQQUsXDCRlTryrtOzClOvlASmVz8Y1Rq5fz94clm7PAivZ0zAGnehnqPXf9+dmc1VYBPt8QAqqThDE4+DYS0Na0L4QUg8vlBfvu4VzG5fJCrvrUSwKh8VVpsHcuiGkvJ3CVys3cw6nXo36Dc0JCMSH6b8Y4xIls3DlvqrbLcrUK5/jeTsSLuIlbv7A+QAUCRH58VBsEFW0awI9z1lqBjYFml41Jn5e8QvWeBmU0SOLu3l+oP8JRJ1BjBAhtSIZiPG97fiacQYS35oK8ZxzbPq07P1eC3xvL/Wldee8z7X06/57ovkR8eZRSKQiUq/hsZnvWrTWjCNJEvPz0GT4GhEphmBAD9seOH3/5DlYT6ugP7xXHtusF2PiNTnzNivb1RQAZrVf4hiF21rVvS26petV6VY2mTYuqpxZRy6252ve/OCpl1lyQt4y7u2O9LqJAG+zZqv2LAjFvjw3psqA/dqPP9s45FGQtmG1O5j/nhFH/HScAzTlny2XDO88QEJEgBbHOvaH6mjCBSKU1ZFFMVkXhclD9uz0yamNwrYqWIXnENSF4hyIWOK9/+cFr8aS/0R8RuHxKQkHjop2EalhqQ/Aet683UkslIOX6Msa4a918m5U+5iYFTn9JJ+/mWWgOwKS2Tjqgj3Hse60N6q1UfKP3KDIGa2+ojT8LzqP5jhY8e/Gcg+o31Pr7gNmg0pFqrJWq9+bkRzo4xwY5qnvVQOC/Q1TJ1C6MoyHqpGOBSu0ex30TD3AypVpRzQUZyyGxwq7zYpNkp0uCKSBsWlf289aOtx8/rEdPn0WMESEsWJYVsz7CTO0HujCJFusLbEU8rFf1dhxWLbV61CxrVXDcm2MkDT2pHyKkksf70XtDyR0hjsQOgCWWCrDb/jt9h657zJTMtzpi1FLL0Kzo/pTsD0C0SWKpGheTIrmck+BcQc0wX17nWBzwfjFwswnTpdZ5PyKAWUU/o1Z6jwYn7VginuS8Azr3jK6tPR7ofeopd8OSxoHrE6T6G1Jk9Rwd2+vGZxcDIpIpyNZa4DHiKN2flcV2f33Fp1++YtHWCRFyYkW6WfzqAeTJXqS1hhhYGYesaehzwqrWXW2K/4d9oB5qA9h74xrsu8V+SrPV+FH3uOfYYH62CuYuC10n1C6PGgICyoCqu0oF954U4Le3Ygln155TsYuJgcCuUmtjTPAh4HJ5weXyguPY8NccHzrZVBPqUwXB1BnPPU//nI1jRqROP+OJAHBRmgVwVO1RB6wG6rooa3VQOfMaNLEkzwmZloRa2FNjyHmMYIQ20FjbNGOzxGO2f3FTf98JXWwDGXOO1BS1dqCpeZ4qJw4pRoTGRYXfJ5woNlZhm5A1XqMuiBC0a2xgTjYvu1ZJfLs/P0cfPUKLU4Azgm3nhmBLFJsGgIO9eQbEKNoQTeR0Wa5jDPSG6/WTJYV6LehKj/UimJQMqQIgNFfxjesaxEZJSoP5aeqE5j2oyHmX/hRudI7QqqFTASAC60jv7b1RCc0q2g15P3D7erN774MflV8R/XCT1+pzoqlHEfEPiqXw/hZBObXpvDd6TJ5oOdNz/3DH06Kvh37/OFU4gaH6ijQshPJRcGy7VeBO1YKnIHdU9BUQ4L02CrMEFrXWd6lOFnCICq4lyUqTzQXOe6pAbrucv56ClpILpeZFLKXtM32HPcHrbcVv/+k3vL19mzzC6kl8i9/n53HmvYdfWIlalotR5Z7th4LnZmfvcQFpWZnAiRR+zRyfx+OQvxMgoGH4ELygXL3Hft/x+pdX3L5cJ0Ej0saCGHx/vl3xOEjxjfG5T3f4afr5uTtVp2Wrczj9jtfQutBl0fGMzTxXjmZarXPDJkUTzyr09tIqcq2k6RlbQe699SlSMM67gNoK8ltDOArqSnGPvB1soRCv51qoOr5cFxueaYnIe8Z65XMrlf1gvnnEy6DlOjfADoJdXdTfO+IaWeH02pNU4Q5S1GL0gAqUKMjZGlxrpNO2huMouL5EdOcA3ydQggF5aQ2LUJ3LzDKx/b6OvRoDSNb56L03AEKT5dkurJSKuKZTb+9HO57ZFUpyGfsNTBwIvVuiYlVNrf6JcNTx2ClI1Tq6Uivl/qY1WStQbUz6QgpYLqv0C0tyIeOplIrtvp8tyFxEbWqZspj+RK1aGdW9kGuR9wHrdUVaE3sIu7dqes3ZYibnOI68d0BKo90oBIvfVPdC/cG14qutKDYPT4WGCTyc485pvbCqmSydbAUSdtKU8Iwk1RszTz8HU4xKkJ7zpTVlZTnTdngWB4wpmtqu96QL06avWtI4FHF531pxwpajDUtMaewf3qE6pZc6BIj/aqlW1PDurDHROrAskWyK7SCNtFUgQxLLaFZGDRWua7VPem1F0C/njOO+4/pyMXBKr9+RNCI3WVSY5dbS15m2UYd4T4eY4KR3cVTLAUAdAMTSxDlLJinAVqSN6wxU9ROL7Oc9YJ6HA5iJqIVWJM556h/Yc5PWLO+HqKUo3F5EJCjnHQ6OYpQ+mJd1CBG3tOJyeUFK66mS+ZOly7/g+NDJ5vXT1TaQU3XAO/TSbaMBRuVHj3mT183op4EwVdx0M9LfPatS9t6HYqNU8qotgOeHWMUbs7VqCGDeMnzgIsxFsbI3a5KpBmAJq4/ehC/m5KKpF9rEybeFzTm46IFS4aQXLd3oQaeCSr0PNU7eN6XGelsc9T4aRVn7H8IIrC1hr1q9+Llrhmv+kxonRnXTe4820W/1WSv6T7RVgv1dkCM3FmNdLLSiSEsTIj8rbihFKa+HTbwk9OYYF6S4SEN2Q5Pz5HwAfShu5ryh94pSgiWg+pljbDShxbICGgSlIhIW4ENEDPT8q7XaoltbQUCysdVKBS7LQDmlmqyfeR4Hdfp8GIgAEJk+QApiEHGPeRPT4M5jCuacO22+H/GYk0mtIr9bcZT5rZt0k4rN43UzEbDZWxfvnKNLr9M89ueElnOto6IOICmcwS173fSnBuW9FDxeH1SbluCqNYp6qTWT86T+smpINL2Whk9/+IRPv7zgP/wv/8HMonPeSW+V9ZK9IwG9H7xPUBbBYt+RNNqInHdc1hejketcpPjWYvQf+XKWcOr9vdwu2B871n09fV/1DfVSdUkLk88m3/HtG0EV3SdC9ILqe+xSyQgpnlRktSdmHhPWqymJZnCeASX6GeF2SqTj/fGC3v9e4jnvOXNCq0q0Sj21ZAl9ABFCl6szICSicGlJyND+Ho987Pj2D99QcqWSaGafK4V9GFSndcFyWbG+UCldQT79fkWS/JevL0zyPcWFCG6IirOr6M2jOQdXgd6Ao1LYidRID5/iWJt0vAuA6gUIqLXBBZrMz2s/E+CKRfa1XMqpKhykUuTaz89QDwNha0Ob92Y9/1HQLj8LhX2k43lN0wRhBlbscM4qYsBggWjrwHbfUAotIrofKsJB6NI+RVbI8lm9M6SAdFlsbpUj4/76wHFsp2DdiQpsjFx75r6yELxRaPVzY0wC5BdaFi0Ri3jTlsrkRwNDgnlRKq6agE73pTU0sfBgvMZ2HSZN//T4sFvsBFx/Go8Wk0ES+xAATWhVE0KTxf4z02bEZcqUCFOyfT63rtnztRFsGj9UIcdRjRSwqDS0Ovruey4oUpFcbwt669jum1GM1RO5O4fW5kIBwbN4WRGDR86VomHeWwXYSQJXa8G+P8Q9gPuF0T9BgTkyxtaxf3qHcmTRTmgk/4UBGAzmiodrTd6f4KOXNryJZTIVGE5zxTm4DjgpMHBOBCawsu81iQFrrWJxojFFsOvn/fGjf12uSeNbAKgls71K7PCu18/CvJM1z3N/1Bg2lwPresPt+hlHXNijLAllPjYceRcLlwNvbwTESx06CzEueHv77Z8c0/+540Mnm0Rlz2hRs4emk5sL6bOq13vKmvPA+r3KpoEkkxWFc0DJzT7DTFifzser6cLPZyKqwUIIHuUouLysAFbsbWNzszv3ZDbXRPHrjEawslFN4OQZNem9W+M9LosEaAEh0hpgDlrsO3snqmOy0VR+R68BpySLRkNT+qxMWAYSv19hnq9xVs615MmP5Gd+PRGkEXQ6R/EbHz1lsCFy3bWid/qmKZ22NaWzeqwrA04iqEBv1RLMuarpwASViapUNB2FYrgY8P1aidJGeZP8DhpEZXgfkBKtWFRmnSgfKYbX6yfUWqziynujIgXTs1HkUZLL0/OeglCbHzKWq6o0V4rZhOiRLol9fpM3rPbOWg9oa2Ld8NMw+a/+mNkCWiF2gngrjer0eie07aDVHfpSHg9B4zv9vdKaDBTgHHRwraM/qRfyGjSoBtzTVNRNyOZbcO8GEc4xaGOvE32GtWex1oq8Zfv77fPNgoAuwUzJrBaut5XeijGYH5+qzCqI4hyrnCay1Yqhp7oJ5vzbECAAKUQqJKT3cd/vltCqh9meVtxevqL3F/aGXYUWJ4JGpGQN0Td4YL2ucN7heOxonp6bWZKmGCPil+vUg0shoBQCXrGRmukcgh/WJgCsr96e+VT9mdVkn49BiZXnIomn/myeq8FrFVPonn1YfBh4pP+G9vKM6hGvQSq3ySMsCcl7hJA5RoJHzKQTH/cNNSX2bR0VDkONdrksuH65IS0Rf/7f/4xWPdYUyc5RCnZtTNalN5Q2KUUEQRxa49jw12BrSfBUaq65UMACDjEllDIUoDWo9iLK0qRq3USspdeG7qfqmMyT1rtVc+Z736Z/z0G97ukmntbP7I8mwGjeM6v+H1R9W8fN71VudW4574zVYe9rZFO02sWzt3IsTYwpUqo9fIyshgIIvcNVh+6Z0MTEivt+3zm+PBOIRdgQ6DSapzJtM49AgkXOxpdzrEphis4MOBKarL2md7gY0ButkaySlOIpwTDlWb1fc/uTJQ84JadK40WXXstwGpbn63JD6V0PbTVqknydAEhZ52ZxwGdLMl6TAzrZFQoYz9cwV2UJZo6EahYNJLU1IF1X5O0wkbFq1V0Vg+p4+35HE6XyuCQgUqBJN6aQklGU0TrKlhFuK5YlInuHFAkqDU9dL4BB4b7RGmJKuFy0OKBzmVXvlC4icElRoFIbz8kXybOJcBJvU4nai3or+9NZeYRpIrwXr6pys8W78OYQoOrK81qi4Kk6GxAU86YT0ic6L88f4P3zZ/LhHccDzjmz7tN4b11vuF6j7bmX6ye8fPoFj8erif4UqZB++/732La3E3tJxSqj7Lva9vIvPT50skkvqNErCEylbzTb7edma2AEdu/1Zby3CNuGpa912qf4lNBJg7JHE7U/Bba6IaetNuQtm2qtUkXsMzuTaACnBWCgUFPwo8hG70I7otLXs2WCes1F8VTT61KaRK3NgtlShowzrUa8iUz03hF9gAsOTSojLnhJsIBaR5KpQV0IQZLm0cD/DPM/xQujyjrRSvTz/bQY+87k23kHLwJNNFF2qNJLEVK1a9FrUERTabbOOfMbsupuXAxJ2h6vnIiiaFsr/47ORvHgA+A8YpjHA8WJmkhbX6TxXb2bzFtwAkhcVOSK4iqtltNY1KDvhIpOYIsGT7W2Yf1j9OQhOuCFal6OjLyTDnV5uQCummppSNEoPloRQWtUA/1gx+g/G3NUk/tzQhhO1UWlyec901tz2ry7BNF+oj7p71DPPRsz+GXegOG9DU+STP8zxU/ZA7XQfkVZFnMApfPde6K5aU2WMPfWhRoVWRGVfjtjOPSGfb8TSOkdnapeiHGhGrNLAuYQfFFU+zhozE7QrMn8ywMAm1oRNJlNCw2pLy8X9pznavdb+5MwAS0qONGM4gexlEoopeL12yt8cHj58mLBWm0Na4xmcQJgCgqYeD4LQLip+nMC+aY9YxaFmPsy9VzedauoGXgGN/x9IQkTtLLSx2dCbRPeqUCBSo7LEuFiQIyewBIcagq0T/KaOC7wQSxfBJik6u+KtESs11Gd7l3AK1mja6nwuSJc+P4iwiC9U1SlS59tXCOutyviGmQtYd9kANWUF58MEFPaHqCK68EAY4cBqgGwvs1ZmVevE2ByW10jr7lpUqXPSeKCUdw6MTls/cwFy+WGGD90+HROdoROqT3/SjnX183JVy1NbOaatBMNNeu0JKNKcu3hnI1LsopbqY2q3bnIfeczYWJIaxUfPdzhDCQGYHEIvEdIpNcf+yGfI8mNAMm8DqmalmagOgCElescHP3CdZ5ZsSAONpX2EwOahI8E09ZhWRvAXM9EfaAsiTDFRX7ERjNYqOf2jZRfHY8mLDSFdN47IAbZj/RLOahX+Xi2g+0iPzVrknmf4+drjMlYNaaEZU3YfmyW5Oo9Q++4vlzxeHugHhnwXGt8rUZhnWM2FwPXhg5RKSarKqWI5boYIGrXCPb48rlUlMy1jfRp7kU6V7339FNOkW0WR0F4uXCsSNytY1v7LWNKYjcownYj9EaMkXFbG1Taea2utcA5pQ9Xq2TO1Wqr0LZhf8NnHwDZH/XQfVEeorWbwI0qb+8dOdPxIKULrtebVS6Dj3K/m1V/9/2Ox/0HOtp4r2P8xziWIpp85g7Nt3fVc/+5x8deLQETRXGT0tRzAun9sCuwhAfnDf89lNoard8750Sz0Q05xADXHGoWm4L6VHYAG6VzLmhKU5J+hZAo7lBKxZIClutCsaDTwKS6lnNdFj1vfZe1NutLoBiGg1VFp8nvPam0Flyb2aszRGr2YgJgSmXOU8nNeQ+fhOsfxoKXUjLErzcqD2pgNCbhz9YRHkNJs/eOCFYCfSRaNvv/DVU8D4SO0LW6VAGwYVyV0PoSgYOqiiF6LH1FySulwmvBslyE2pewbT+gSna8jnaysfFC/xv30YNy3zKmamECCthi45yXxW5SEpNE5N5/sFdt2uTcFPiGQAEk74Il2Fotn8fwGIPjc+akeaY9j3F0tgcqR8GjU3V0WZPIhg9LDLSOqmBB+esWpP+zHnNSOX7Ged3lPkRMY8CN5CYfmRtdqSZM9nyi3rqM+5/XmxM99r116B3wC8C7wQINzYsknMWCCu3XTteFFEmZQwpgLNcVzsGqDft9x+v3b9Iz04yC7v2YEypaMFc7VWFKq5RDYXaBiiPcbp/hnBfFQRUdqgiRlcvr5TP++N/8EV/++AXXzzej8b19o1DQsR2oO3sPQwhwN36PKt+3SpV+fQkIoHAFxZI2errdVlNtTTGi1IrgPZYYRYEWp8TSksfp7zM48U+JyfinZ5cnpoYKANV33jvvTaZK2yiA40Ng5ch7qnbWjrQGirYpy8R7+Na5XjuP2+cbYop4+35HunDMbK8bHj8euH660NpA11ipBinVLpeKFIFofsyDCWPCQHVUPbx3IsYiPcGyZrSjSPXYI0Shu0qlqdcqKuT8Pq1UVqIhwfx07x/HgesyKJjz/Dg9H8w03On3zgFStdZ9egYjVRkzLh83fJrvp/57/B2DWorzPR0VTWFMaAU7jWTOqo6+A77BxygKv0B+7NjeNttfulQC4SDMnygBv8NyWW2fUiqucwAKjOFQyoGcMys0cWGinALCGrEKwEtP0OFrOSdWCt75aQ9WtloVteR5BveuyaTENtpCpKyHGCzxnKmZ5/s+zqX3W/9CzQ2PlMZ+P2JQTO+VGNCLRoknYd8loGnPtIEtI7abE6PaqoCbOr+6VSjXlxX5KNgfmyk2e/HEvH19sTmZruv03YC6V2MOsForLTnLAudlzEiLAJk/BDSXyyKAVLU1tYrgDkDQoZTMBEvt7SD2SpKE6nE8Dlw+X+0+se0sGKtLha6eYxmt3LKyeva3BM7sJ6D8lIjOc0ir1Fx7msRxP1Nz+R4PMuaqjU+NIdeF32O9vCClRXpZKVyZ846347slqMEHXK6fhR2Xse93u08qknm/f7cCjlrs1XoGUP+lx8ddLeVQEQ8+M904JBmRqg57RM5otB7PQeZzMHE6NOgQmuiwmeBnh+CBDBSd4H2oYqF37I+DvYVabWikl9DDUgKPUlGPgvV2Qb805J29VBZUdi4slLtvxrHXRWNeyebvqwpdmsz21uxeOQ8CWlY1lYRSkcGDHk7LNUBVu5wEOlrdRO/wimL5wAprCPCywJwUH58TfD/d83qekF5oWK3NC6UiRVzMulY6Ga7wmYaO0MVzzkW0Fob34RJRckTMRLFSWrGuVxzHhn2/C92gWgM2AAuoSyG1J8UFbbI6gdA/nGMw1SaTe+0H7b0jHzvgHFInqvbp0y8mMDQnm70PKu+88dfSkNYBgsyKySpRflIVBoQSO37+PN5779KnRfpaWokqZhF9ANjnCe8MePjIxxA/4fMz1oKMvSSiBkWqmtvrA/cfd1nESQNsUoFrtcMbq+f9xfy5St074NrPc0M3eB8o4NOaVmC5OWexjzBbAp1r8udyWegn9wRKqNx8rRVNVAOP7RBvswE8qHABQPBFlfa0Mj9XgrSVwIsNysvLL4gx2jpVa8Pj8QOkTTUcxwhAfWA/10U8M7X3vJaKT3/4hOunC59PI5Nhva7IO22jjI4mc8HHIOqnY5y/fH2Bcw7XZcH92NG7PyWSvQMQYEB/ponhfDwH7MDPrJL6DDzI+7wb622RAOu5WvfeQWpjMEowe610rZVgSNgpw9u1jQpIp1jQsR0ElUqFC2w/2F4fqGJfUXKxtdiTLmNVjWM7TBzEObaAxBRl/JMVob6zqgis9LTaOlwpCDEJEBmQa4Z4RlgrQqsdYWH/roINTBwaaq1YU7LkQcGf3qUK7B0xD6luvnf/9cdDYIn7oGvOxPvSB042gVOoYHFQbx1J2pNOFXuxNtkf+0mV2AVvz0fPwbVKgAdJHPe3DcfBMWXxmSYRNQtwHQ2QUvEgSB9ySEF8GztqzqhVQfKIEBqBY+kP1cRP10w/Admj9YHv7yCLQdd8Y1p4D+8b52jvogoqid/EYLLvbcyFUbnsEispAKTXMKevz/9W4ckQA1Dk924wHiiAMwnQwUkfN9A8gMak0TlHuxnr6QRgwA3smWoG25skRMHj8ukCJ8+MybW3wRJiJBU3VxNNCtFjuRLETxcY6NcFqAKAlCKcIysmZ8a4/bIA0lbmvcdyXcQztJ6SPN1XeuvSy7kirUxyzXs9a/8hiyPHY8dypf6JUvWD92iOVfMsrVXAHI9yTw0pSFVdcwutijJGa62enqflDPDoGGBsCHHYhGFOXM9jx569jwiB/uwq1ghAnA1oB3O//7D2lWW5GDNvVF4zlrTiev2Cfb/btQYfsa5XtFbxkHNotdOhoL6zv/1zjw+9Wr4XvFkfz/Qafahqu/HeOYjaDR1wW2SlwfjYB/1A+xnmzzn10bQJ2RAPo+2NKpHmbfnTd+FkCpGIO5WxIlppOEqFD0SLvXDlIVQxrZ7OlSqnyLNca28daNWQrnoI9UkpC37Ad2rUDcj1yGYSFLF7umY3fygggjcikBJgAbLe03lDekZWx+/Gz8zvUCigbNSfAoTg4TvQgxihCyvBnp9nCurRgBjQuz8tEEoYS2nB/U6pdXr/RZvg3THo0WSwSuO3w0BK5+/hfBCLB5HAlsVqHq85k/5z7A+s6230vvVG0QJPmi+rxX4KHEeS2Z96Mnht7fT9dLyOZ3YGV55fm/dMGtl1wXLh4l+kbwpiRfDRjlmoR+nkM7ih8zxEUjOXyRx8v+94/e3t1OczkP0xxltr8PAn0TF9DTDG/0+bmAQ3ox/85+q19gjlnbYYes0USvBAilalcbVZL6Imq8t1Ia3tKJZAK7VJ1fu06s/ey/iT+BiZAANYYoXiKQgNHjHSezgfBaUMG4IYk9B9nAWcypzQ+6fnaa1juVBNeVkTLUxax/7Y8Xh9WJKUj4KLJGXsEyMy7+WaHscx+iB/J5mcvTaf1zFbYySoNSsTAxqneYZBn+U5BMhrDaXWdz9fD++oVGtAm7QuQIRFfPSiAAt0Eah6yiTsr7XQDL1KUP7y9cU8SY8tC7U+o+Yq/ZoNrTeE5mRs8fvnTrsuH51U86nA7kIkDbBW5N5tLigAqImND7xmuzAnhu7iI1dqhS8V/hZOc0ID2VwKUow/sQhURdjeg/NaN+8xThPTJmmNG3Mu78eH7dmc917+OXQeQvQ/ifkp/fV4HKfkPC7RAOcm+7ICPCkF9uuVgu2egSaKwuZtTRA1ISIfUeiJyrBq8m9RH1WBosgkssn1K5ARAimezjtrJRr7P3sYrRIfIPTX0a4zvierbNy3MYkzOvjw/t7nRABMxcI0ZgGeY7JzgjmD5nY/U7R2L6XKAjiDxOxXklhIk1kHqP4DHODUekM/v4N2f+cKqxZKWm2k/zqPVff9g/uAJqOMAT2WC4Hox9uDrJjWUMWzkf6TUt19ol0f4hwB7xH8qKaSddNPrK0QA1xnSxH60MLQFrB93wA43D5daZNUq7HQHGRc5Aqs3N+cPLewRviZui/vUJaDgpHLhZ7oup/poQnaHCuoMnLvVMzV52Rrv+yN+sytP7IO6vpIGL0ltqUc2LY37PtD2lc8YlxM4FJ7VkNgxVL7XPOxoZQs/Zxf0Ps3JrzO2WtbLdj2u4HFCs6G/8tn87/8UDSJfx+JQPf02Pm9yuZMR3v24gxTs7ZW9N5T5AwxsAehknrRilSESsX244FayBHvtYoQgU6saItskL4GgBMsJQZS2rejPmhMOOVapCdMkzG7HgxKbUNH91QzC4HXqcFIzRUtkcrrnUNV6tGUFKso0PPCDDCgS6L2Vmun/Uil557vP9MD30s858BNf6f2Cyra8HzM7+PiHmRR7vb75/htVI46EAFfGlpgRbIUsFo505bhhGrLgHXb3pAzvYjmTVMXHi4CzmgNp4BHgz4ZpE4WqtYb7vfvuN2+CPIkCYIE3Upd0eNM9e2ne9tl4X6+x8+b6iy6pGN3vq+1dmxvOyXq1wQfEo49I2/5tIF+lMM5iDInEVCtnoQQznPAOxOiOh6sDm33zRI8TADUMxilx2BiyNiY+jXnIMSOqccHwKl/WpNK7bPa3jYKsUjgpdT4ReiPihrr57dS7Xx8XxBUmBudClqFkOBdQ/MVrSmToiHGBTnvULsBAEgirT76RzaZy6S83T59pkVGivj66x/MizGkgMePh4kh1FKR92xjM+8HpfRl3m9vGy64sLIn6/fl5SIASWEF142qBpyziu6+H6i14eXLZ7EWmeaTd6itY/HBEk3vBh32uZI5H/NrPECQSp97xynoqL3DO6lqoqP2bsvDfA5NXOeqp96v2fpJA9euypeyzpxF7jgu1+uKUgiOXD9fsVwXbK98jr0NIR4VBnGFfW8xOVpxQaiyKch1RLhW0WunIrDjvhBDgFvI9ND7y7FWKTxyvcicWlByZlKr4EJvqEcBbrBxzD2d3zWXisuSUJ/AAKUcV6FnwzsR3GIFyeZYDOiq1Oxxbnnx7tS68dEOP8UwM/Dr3M+CaOpPezwO69ePS0JMBBjMUgkOMXggBltTHj/utp+5QC0L9sOpVZfHsgSEuKLVxXrG6l6hgmRa1QRglT610PEpIrQofZdiWxOY5KY1UsgqBPjQAGV76PcKo4fSi5UONMl7rjxKhdBN9EtldDlHdWqdu6YOKxVdVe2d77Xe19NCr+u5VtocK5S9ixhPH7EqIPsLRr+rE89um/8neyp3WlcAIESdM2Jf5CgUeP1yBdCxPXayKBbpoQ0e6/ViLLaa6wi2u1gqyfUpe8UHb/+H4qzKeXlZKT4Xg9kFxhhQCoBajQ2S1lWECwuqgJw+BCxutQrvcovIR4ev/nxP5c+0JvmSzWyv8l6wXDpiY3LP+wikVGi5Fz2Wy4pas7WRjLGjNOx6AkKdc1Zt1z5L74MUJVgBIZCdENNiQArfl5EPqsXmvJs4ku6hCgyrdR41ErzswTp3mbQWHCh5RwgR63pDzvuJoeecw+X6GQCw7XcBdiqW5Ypa/7rq5odONjWYmAU+dNEAANfPvW2K4o05MjX2zrREjAW59250gfk8zikaKhSG3wnCt7cNl08dvXardrpWEYTvv1wWpEsSVAxkOkz9Bct1QYwepYwkgxW9YNeYJXl0YQQYFqDKQhlE9KHmnxM3XThUqUxtG3ovyGBfhXMeF1FwowelH9/ZFs2OkvNAtab7a0FfOy+6+hwsGdVNoJOC1VvjJjMhqjMSpQsz0G0sdAiNzzlEkJPeNIEGwD3NSx8JjaB1cl4uLxQEaoULd2tA0Gv2YlESYLLVT0EoFwYKB7GPuMrC5M2EV2W3nVO/sIrH45ULflrgXBBKkbOqstGQ58qlPDMdK1rVBGBUS72m+c/5vs/JKu9Nt/7QttPSIy4UC8A7ldSPclggLNQ/31kJ03GrKpzLmshWEF/Nx+vDztEarXesiqnnFWqTrUWCUM9j5nwd54RzHmOmVNhHzcY7qt/u911ou9qLRLCMCHI19FhOBsi6F2KQFgQqcW73h5lQK5IKkOYDFBMcKIXeaIqYKjCjQgS5HCjlEDp4kB6SgtvtC16+vpAiK5X03ujr6SMFH1pp2N42inV4emdCxr+2SFTxh1V1RUXF0xKZeEu1OYgtiq4PWrXdcp6UY/toe5h+9l5ta55PmuDwOZwnxykxnda8ZwXaeVrWp31EbVC6/Qn7nipm1BVk1R7N4FnhjMH6klxgf//tyw3lKFgBE/0oOyllel/2tw05V7RcEJcFcaFyr/bFpjXh+umKtNJmgiIbDi5AKLb02qy1wfeG2huiZ29nSEGqJgUOO595cIhITDiDsGPgxZexinf2WVjDerYm2rIGqWqBQiEgR9rjBESO+fT0rPQH0nag6s0f9dCxp0AFxfWe+gsD2wJ0bKQLKzPlKKOXEFRn94FJfN0Ltsc22oW8g28E6YL3Ug2jENNWmn0+K/Ye63W1ZNiJ8nE5slT3R4XOaN6etOgoCUyMuuaN9U7ZaGNOOoTFy+8IRAXvTZDnFG/IlLTe494RlDYrldTecc7vwPsaxBKkK4iMEePYM5hbwfRPvW4/2HS9NfRGcL01JzGjn56BPK/OPaBNYauuG2PPHz9XsPx6uwBw2O8byl4syXSOCdh6XZBWJkpsH9mEcULqqg+qmk+bNrNPEpAoeIJjmoAu0u+ZG1WlvfdApNBYbY2vvwT0llBLtV5LfWbs+QTWy4ImasCtjfXZbHiCt7545xw9QydwyU1U7Sg04dvnG1RIjzZdxRJPrT7OrLZ5bdI9UNvtbJw4TU4LsrSo5GPHfmw4jgeFJ23sOIsVdZyUUkwsi5/D3x3HZu0tzrFwxPMVrOsVvTd7jbZrXa6fUcUDHqBNWT42/DXHh042gWlDdzPJc/RKWiBnFcDx+//sOTHsPii04m1RdEJnsM9WASKvFA8GSOUobIiWHit0UlboqclE06qGDobGhTAWhLgs6H14HQHn3iANPiGJYHPsV1I61VyBa4U0lyYN94a0lwYfKDBSs1qrDOpxSLwXMZ1pTQBMMpqB4fhMvZdKK9GFbf7d87lsQQwewXUU/f0EKOi1Axi9SHYvID+XhT05OFfR/KjI1FzgZHyE6NFagK/0/lvSiu/f/0EWmGm11mu2RHExZVoNopXPP753tJ4256psyENkhoF6BHpDzhseD4cYf7XE8lzRGsmLimf03seYb/1k3Dwnms8J5U/iQs8B7pTQVjTkV1ab0hKNQvqRjlY57n+qwGtyEALSkoQm6CXRPLC97cjb8KqiCNBQypsBEUsQG6RH+glw0eDmpGjcT2p2JmxQp6RVzjH3aur7/ETx0XMooOQw5kjeD2w/HkJD3SidLr2arRWhJiWK0bThTRt8wOXyiVX5K4Goy8uFwdD/VoHHq1U+9fNLObDvd4R7IP3J+n6CoOer/J19o15o/K0RPdegOMQgnwmo5ZIaz/vInk8vldvlQmpYjEF6G8fauaaEdlB5cFQmx9joco9b76e+zecK5z9V+exd0fN+UrmtrYpn8PQoJyC0yfsMsNO10DmpHIShGaBbwLjAJ2ERj9unF5T1wHEU0k29x3bfceykR7ZScRwF99cHgI6aI3oDag1YFlaK8l6RLs7Wez1/CFSkrK0w+W4N6TJogb3BVMl7Z1Vi7422BcrocQ4tF7JwHMGSIl6a3Q+wtbUOlIpSGZBWYeFoFdgq/s9AmgTc8EOd2TUFFibGgfR6nlUyP84xj1HPsr0BGMCcgMjasrNHkuAEbW2MHSPn8sEB3mP78UDJI2juaED3IrgSxMJG5kRr6BiiQMFT+b7Xse+2XNBDECCPvpkpBfYcb5nj57JgWXheekUy6dSWGx8GHd8KDNLnaAJBOlYq1+BZ4NH2VNl7lf3gW0fTJNWPSczziRqtxiGaNEzMI96DIcjY5vk6J8Ya3wEWX3ljtck+XyjdMNptIOwWPcVIsu3ZGO7I6/fCcKsxYr12ZPFjBrqx8WplUvn51y+IiaBeOQpqqShFFFzlQ4OoXffWEfhBttYBXDOXNWJZRQ8jNwFFSZe3RdHe4EXcsdpz2x8HWq7wopZfS7NKpXfadhBOBaOc6+T7OvboI2U83u4IW8T108Va6JxLcC5hWWD+0PRCVyprYPVSnotqE+hcU/D1OB5orSLnQ/zZu+2x+tpTYcA5uA4EH9F6Q6vl5N1pgpOd+h7Lshobp3eq0i7LFZ8+/QH3+3fc799ZPHFsG7tdP+NVKrQhRLzud/w1xwdONp3Rw7TKM1cqNaHUB/hc1TmN4TBEQNj/JBXNSa3K6A/TwqUDHlCaVJfKkCyGOwfkSfRGzrNeV1xeVqNZaKXT+2B9Jho0xiXAhxX5yNYkr9/B/PYASyhtw5Tr9lOiBWBq8O+C0Oj98KbMNxJDon3eCw9fv2efPk/ug7YEMNCV4PjJNPA5GHtOPmc1rob202vnCjIDeneapM4B8E4S0kGdUdsPQBd8qX5Kz4eKOkUxmZ/Nped+jCWt0rdGkSDKtRPpqkIVdNKIrxx/5eWnNIRY5nsRxIhaG8C/fFmMgqPBsQYDvbMHQqj/IymsXKhn8Rf5y4iex+5yqor+3qHgRJOquo7pj3bMyVgQdUxTuXYMrL0EMQC9LLe3jaJAvZ/m3Uz1nBNOiPCIc7Tpcc+KzGH0gvB4oj4JaKNBHv8EYhj9VLr56e/TErFvDACePYNVnn+/73j7/ob9seP7X36zsel9QMkHcj5s3LKfOGFdb3yNC0gL1zHnibz/6d/8SQSmOn78mZ61pWTKti9X2YxXC+RVMCTEgMvLhevuUYw94b2zMee9h0vOaE7LZNFBBdqKeFstUHbin3f9RKqol4RWgZs9Z1yXRaxOporOO32cz0q0/9xDb39wrDw8K9DO+5EmmrpeB+8QfEDvgbRfUQSOi0csaiY+ACIHh9KYmGsyu6yUyPdxhQsBgMxtXaOiQ/Zlmt+kd+1bgz887t8rri8XfPrDZ/Yp1Y6SpXIcnS0zLgxfZo5BoRE63oRj309rPm2VEkKkJ2KVJITjzaHl0e8736fWOo5S8LKuJsnBucVnxUD89xUWdc+c/8051uGqE/G3+u57P8Jh90XXuElESw9l0tRcLYbQdYS6DJyTcUloueLx4wdqLQg+2j6EUwzWcByHgC60YZs/s9SKYJ8/ErwgQAWi2L2JHUlMDMJ7pQhPkDYjAi3D5otjRtdieUknDdx5TwZSZ3UQlfReXkFHrxUhsiqL0tAl1lG7lHG553FmcdFTYqk/m+34ehmxqgtK5YUly9xXRj8gIKB5qWaxN+6Znr+etvu5osskCtbqERfxuiwV3QeurZeVCU4pKJmMl/3+wPYGa+1ZZU19/csrINfIimZlLFIqktileD9a0vRSVB+A4ykgJo8ua3NVW6VGkcxaChkb4mkdo0eBE52CA35n5XVuX6mtIeeK67pQNI0ZPVlmZb4/Y3wy+Tvg7wQtc86TX3pi5TN4AJexqAs4pdfH59RQym7V0FKOQWeVuHpOMvl/ECI0xZp66Eaj9RgiTcP6pRqLLiUCEutlsOaWtALS33m7fUHvHY/HD2PlxbTg08svcD4g5x37Plha/5Ljwyab3nvcvt4E9eSknRH/3geKZOqEhDsAU6yFTWYAlmQ+H0ZL1QTOErkxYXVCx0QUZb+zPB0TBRzSGpFAznlaEpGTFOCd9g7oZ02oX21oEeZz1HtHcRVO6SGy86ry4ylpw0hEZvreTKGQH5kIiSLVRLVJ/XSB3lm6KMNpsjl8jtjTqQgezxBiQFginDtO+Y4iinYNE632pyBuen6IUkEVuR8NJvT7zX59mmiqKACAU9VPE+nn6pPKQ7+8/ILWmiB1TCJjoEw3ABPvgXPwCEZtCCEhhoTWm5jXj2osQFEgpUWcq9RD5ay1gpx3XF9u7JdSBNZphXqqrkwBsvpb2e9mlMzow/0ETsyHbYJ1VBAA6ekVOhsAZElePtIxFvuRzGnlx0tQEyMVaFuhR9z+IGtBxyx9LqXqL/1Dmkixil0FFfeyKnsA8u8GzHzN8exGwuOVjtX7KbDpvaNl9jfOyWqIwdaHDj5f9ZTrvSNGmmC/fX/D9vpAyRXHsZvfbIyJ1UyhfuuYuFxesFxWo3Ovt1WqmUH+TruCf/P/+Lf48//+Z7j/1eP1+zeRrI/22USv62ACBFKWgiSZvYtcvfiGwjusFwY3aU1IC73S1HrpkL5ZBWZy4+dcXmgEr6InQ5TBW2K+TCq6zuEkCqSHUmq1egb8TJt979DEEWDSWJ/uJ88HEyUJkmQ5DSrreP8sOqRKv6ZAW2FrMAB4FRtxTUSEwrRWOpSjodRRlaCPHZW/9dnmXNAqpHdIe+/u+OVPX+ET+82Dj7ZnxTUhoqMeVdb+Adg4RwEr0rw1qBZv5+OAc8vPybzMm7xnrNdV5tFMpWVls0jgPx/BeVSc2wh03zHgxWlfM8yyyDW15zoLun2kQ0HbYffhfrJ58cGzd3UrCNGb0JP2W7Kqzl73+q3gcX9DEeYBJLljgB5lXRoChTEmpHVFjN5YJbRBivCLM7Cn927WU3Cqmk2A6ijVvschCv8hSYW8d2NKkL2h81S/sybXI6l04Lrd0UeLjNBUeyeFtnVlp3AOhzASXBtTnSwLnqePJOfp0Ar7qaI8Ve5VrMr7UaWcP0NOMtwIqia+I+FU9X2CyhMzqjah2PI8MQkTJAaUQnqsMQ4iKfTpktBrRc4Vh+x9y0K6fAjBChg+Brha0cHE66gU2greI+/0cvSOQkM1V/z4yw+Ug9cZU8R6W8R6SVrZAmNni00XMqy8gMJl96g+gD6TlWOkAnnn9bTMPS+ttNUqlfuKOwqffHc2VrUwoM9gSQHr9YJjU/rxYJypRzHvfbPEOefNQKpWy0mgTIXv4ACPjtbkvHDT7xwgcW3AqMbP9F2qOY0qqwpL1lBQG8GeZb1I24s6KDi83L4ghID7/Yf1fb58+gUxLvi7v/v3yOWvi+0+bLIJTEHitGiekDkNzNuows3Vxfl4rrBZojY1ZI/f6/lVzp0Vi7REZADlbTeVx7hE3D7dsG0L1JcphHBKNAGgt3EdpnomyGJGkYUloDew/1AWvpo1YZnUcKd70GoddLp63mR6U18nZ43yIUWzilEaQYjRqirz/bL/W0f3XZBBBj0azDkDG0e1+XQPBSGdn6k9D6XQ1cq+TdeJLNaGZhLmgmJJMK9JJLwTkSRJuKYeRj3/LEBURAqbSQPtUFqr1gdJs3Fvwj5aTdd7Tz5+BhCRxPOLTd6HoVAM9iD9mGfxJA2S6RVGGsl6Wy2Zb60hgDTOUxA0Pe85QLb7qC+ro9/r9yo083kUGS5CZ9HfzcHeRznUs1ABK64pDCQ4J4IJA+U9D9VToz2dPU5rJepsoIb8GwCCO89P+7tOef9UpQdMDl8TR61qAgxQamnIQoWEH2uBF7q+D95AAi+9fseecf9+l2Sj4fF2t2SkVkFzTV2RMuvOeez7AxQmSLh9uQmaTHGJv/m//Q221wfHaOv41//uX6P3juN/2alO2rQnhHOLdicEWPZ9xY9vMG/Z9XYlSl7ZuwkAn355wZc/fsWyJlxeLmb/EZeItC7jHsehiG1VXOnlVPESvc8xMJhUtVd9Jr9XvfwvsSfRg/2UXCe8A6IYfWtVU38fps9V6uz8b/Wls0RzAuecF4EPDEGoWqkS2VuX9QumDlp2tmPk/YHtvllFmBV89iRvbzu8d0hpxb4/CCqsVyzrgu11w2+t4U//5l9hfVltj225ieVTlb2iCTPDU1AlPvWQT+tJzQzINbjVPQWNFL68ZVxuFwbQ05wphS0qz3237r1nJCCzPXsFmYOHmym00/rYP+BaBwz6nSYlSgW0Srr0TkLAycnNQcAaghdVvGuP/dwuYIGxsMSMwRMCrunGZLSROeYcTCxGq6jaH48+e0nqHt1ELTvDObUFk3YnV+BEsVQri/MRYiStVJLDkqsJ5fQJ4FDvRz1ao6aF2p+khb3HMUUyvSamGZybCgjOFvE5RtU/gyhIN69ew7P2xySgOO0zgK7/I/boID1frbZ4frFukXNYK1Nt9twBJ+svkBbtxa04pDXkgQ0A2QnpuiAGqgyn5UW+j8P99c3EgYJoPcB7JO/RA6uQLRfUjgFuLN40JVSh2MeE2hoebxvW64XtTWDMpb23JjwkqvA1F4Q14pKCVhDYKrEm+FTQJdF3ziGtC/KREQLjOxXqnI/lknB9uQ3dlhBw+7yYenorVL1tx4Ht3o0dFmMi8yl41BKQ2zGeswAdQfQOfo8twfwkWJzIeRnHGDAaNH3qNUfQ13LussCRsSOXAy8vXxCjaLUUUuHpfJDw9vYbWmu4Se+mMpf+muNDJ5takvd+mJPrMccKNn01SZOyt/5M/zxXjpwtWP2d1wKwZKx5B8CzD0omuPY69sZFpwraE4NHjN4a6lsdNE1eaz8ldQDQS0UGsKxMWKX6bgj0UJaDDTxVkw3qUdS58HsAXSW1G5FDqg5SzSwkj13615RaExKDVlOem5Lx+Z4oioY+qobz/dLn8nMgN4IAD3+q0oYUUAuTbLPgmM5pVdbJ21ATt4pqiCUpeV4a2Zn08Rmy2V7PBYhAhRcBFJGNds6hu4bguCjnfJhFCdGpbgmmdwEIQjGKC46D9AStanJ0nemuKYlvlNhK5EzhlHAZVEG7z2EkE638vHiNTb8//Ry2CfY6CSxN7zNlRudOC6NWBE59rB/ksCp3aZJkKtIMOFF7Sws9wo7HgfuPh4mH2GYu7ImaiwXvChqoSfy8vvB9grm/k/SrgqMmvhp0OK9VSlHAK00Shgb1+ZzPod/FBY/kud7sjx2vv72iiLz9dqcKbJdEUy1IQoi4XG5I6YKctxODQBWadW786b/9I7bXB/7yd7/h9vmKtBJoe7wyOd2PB1RkIaXF1rtcDuS8w3v2sKhpNWn5nxFDRCqJdCsB/2oRJcKLtx53QBVyw5jHaVT+rHI9BWzFVRylYhERkt87hPgBrXhrYqoq4frnvCa9W2lrw3bm3THYtUdzBJRzstmma6+1QimKzgEhiHDIUdEF6Ci1oh7ZKuLOOYQ1AQeD9ccPrktaBde+yfUqrR0pof3GZ56WBDhgvSbAe7x9f8Pl8wW3Ly+oR8aOjCbVK6W89saKEP00PUKif6LSFltrgIChrTS0yPtbapUKEq1TtrcNt683JKmW6v6o1abZamaej3r8BEI7ktXUOsO5KcjXddM/71Ef65j3blN71Z8Hb89wBmj1dzFF5O1gv54AvKyys8Lk4C1w7Z3nd7IuFWEpBK/0Vp7bOwe3RNm/nVlKlNKQsyaXDIiZ2CT2bofJ6s6xHUkPTXYtvpBk0EELFKOFSBVmAYnhWh+gMkSokFCH9f+pGI8xIST+ab0hOKnOhffHobJdtGd4fo2BP0ptngQR59fZ2qbANTqc75YYm62P9LvzT/besngyKznzvCF6rLeFCb24K/TecezSj+nIflhvK+IaB/NG9j87WdeqaYR6o+ZcEaaeXSqshqnnVaiv+8E+8TVx4dV1vzVS9wOBiWNnW1mpUsGFQ+8H0rogpYhqfV2MYXsPlqSt1xXH3JM9xdGtkkKfj4wYGd8d2259mmOd4blKYXEixoj1doXT2BHlVDjS6iVjAXVByEwke8dwglL2UZLXj3YwnbdarVT/d32P7t2lEDC+3b7gcnmB80HsVAqW5YqvX/9k+/n37/+AGNNJfOhfcnzoZHMEzj9n5CPgHv8+CaN4BzcpV83vIwpKBIivnX8vFc2gNKzxu1Yrju2wRblpE7KgWESLE9wUzM5ldiaaE+VxTphrk8EvVgXHCGB18gKjMqqiPXPCoH2Vbefi0+Q7EuEpiClZddN5vY7G5EM9M8MI3k4KXIIw8nezlcO4cfZ1dDFyRMCVKgoM1H5+Hs/BgvkiTn/afeqj18nOoyq9ZUx8pa+06uDKuarhQ0RKNMytyOL3NCqopRyk1UaH1nVjCKcFxDdIFTsSXeqdCrddNjHvrcLZhY7WuvTLiafnvh2IS6KoyJxcT9/7WQVZg0pFDrWKoJLl8/2a77NKgM/jba5A2Ge/Eyj/136UXK2Hw5wyDN2USranHcKxHScF2p9Aj+l5lFwGDRQAvDv320oye7qnynCYejpPPqnTs+u9SwV1AAcmBCZrIin4TBZKLigbE0324Ozsw827ybx7GcPcPBO032QGJkII5q9Xc8Xt1xt67/hf/+d/j7xn/JYC/t3/9O/w29/9hu9//w2Px3fc7z9szdi2N6zrFet6s/OaXLwTf2JNrqX3+/blZp6Qn3/9zH6r+b70brRas39xgoKLojNwFlZzQlNOIeIQTzUD/XpHA6zq+F7Ppn/685+aG16qM/kd4LJp/9eTcN0pgcIQAOudIGHrWhlQxo5HOQ5aDAgroVWalNfa4Y7D9h71Iqy5cHzJuheXiGOnINDlE+953g98+8fviDHg+vlmwWreCsqaEdeEVKWq4iEWJhOYpj7D0h9mcyXr2s/vV3OGX8V7VSmFMr5J25PKp1DGXXPIteKa0skexmjOwgJprZEi+U8sXQbS9qlqHH4fgPiv+bBEUyjlalejojMxcR6pLUWr3eiiaUnIR8b9x4PzTFRSAaBD9gzHhDMtBJy8rHsKnKB1o8tW9TKMAaE76fGuFH6Z9BtUdEV1CZaVi6gCTCElSyZ1f1dmB3s3BwOuQ6tSToT1+ikG6VatrBanDJu5EefwtRNo2zs0sdXY83lNOMdpfYCBT3GceW2CFPkT68I7uDaeoR2ScAFAcI29x9IWo2Bkax2uEaDpaqtRG+6vG26fLnDe4fLpgvW64DgK8kYNCmpCCNPgKEjXBfWo9vyMUqqxlxRgSmaF0YWA5BhrWjtv6/CJFb9SyFDotaHUhtiBA/RBD4ljyOWC7gkwoim42qUtgEAAEy3SZtG7gLJC9xaFXA5BalBo0an3jugoEDQ/oxKiiMvRzxPv6IhoLybZQB5pYctIKRSPbK3Az5TYJnZX9WzHM0XINu65n59bzLy4IRzlkJ5L7SEevZwAcOzFkk6taJZy4PH4gev1M758+RuUfOBb/3t4R8/Ov+b48MkmcJ7A8guhQwiqNdFm5k0FfvhvWhByojuMxu3ToHju2ewepRZ6Ee7HoKMIsh5ixOXlwgX9/8fenzXJsiTngeCntrh7RGaec+69VQWA4NJNdrNHpFtapOdl/r/IyLyOzNIcGc4MyQYJAlV1q86SGYu7bfOgi5l75imyUHwgsuHArcwTGeHhbm6mpvrpp5+GjlbVUXVNsnKGvg02RGlpNWUkCQBy7r0cLRNCvT6V5bgPipfyPqZUBMuYGHVQ3qpNfbPQEHZBhmzeivp5T1Loz7QDM84Eu6YhCu3PbPcM94jdeL36kyRgLwAcKjd2FqPrPFdykgR+ADspR4eBqD/L8ZnqvetnQ4iY5xMeHj7ipVU0kYfmTarCe6YOOvIoVuTNWUzvvclI6+LX/kgRs/HslaqrDX156nnm2mumJles1xXnj2e7RttsFPHUTK5ku2zcKkwJ7rg+juP6arxr3QVNR1TtvR16f853dgM7K1yXo3L/JWVcn6+7lggkG7wGAhbkZQ5MT48ny1BqDQowzHNbL32dmbNLvQZxdEKU/pMliFWHglWuhyBZ63nE9uUt4/n3z9KcvVqNiW6WMU6YpgU5J2lronObMxfc/6uA6A4iwnSaUAA8fDzj93/7GS/fviJtKz7++AssDwv+9t/+LbZts/pnIkGf0bBtd5GIz3KvQkOqLBIS48S9MsU2zacZp8cTHiTDBacOKCPh98uKh08PIoevICHXeSl1tqtuOnhyCN5bYGK+4htzY5exxOtazWMNZx3Wl2ZDbY6Jfa9tACjeCDSP52+SCVQQiOmxFWjC+MgFpXjkXG0ctfF7XgucyyAKcPIl0zIjzpNdl7YuCDFiObOztjwtmOaI9bIirYnVgs+L7FvS/uByh1s3ocDKPlt6eYvastY6qOjFcVPqYk4sosGtUSJiCNhKRU4FhALnxWnFHkgDOHtL0zRsMR0AMBDyDVsG9KwdeSfgsu4P9V3aufHQ/dkHt/M1QExLr5UpkEWBWAk0e/9bzhSxnYlI6S7gKYPVKtIEwNqXUCpooZmIjNYRK3iypYx15ZYNypzQPZUPpi3GeeJsf+KsdAha40cC7EtAIkKFJJlbtT2oTcreCKC+/vk/J8JAHWitpYFq6UGpk5ZklqUTOwGZ/0Jt3Y93zwDqPVdoltZ3ZdHBTzU/Vv1N3Wcw+CwDI66DXvxu55qw/vi9tQDOKwgDO3+tDet1xem8wEVhTYWA2XvTLtB1U6ReNUTHweiWu7+H3uaFT8L171lEIil4ONdESR9W+9qqaENobiB6zvPUym39WoOfIoJQfX30yBu3ZeKMbYVbHPurCsSXgjBNADR7+X372pNSeyAXAHJe4TZu2RJqY+bIGyfivVEZKgXeR/P71vvFain57yzM9uo8lmnWnu1C6Qa3kxltUsqbtMsjLMsDz9OBeTTe2+XyDdu24nxmWm2t0uoqbVi3G06nD3Dk/6Fm8w8d4+I8Lm6d9OLLsULpoBQJ4DWVdlBkaw6gQXOFUfJeIKw0NwiyAkFfW32djfOe4KdpX5epCFjtmSZ1CscmskQE1ypzxWsFbRnTHJnmuSaIXUEbAgEiqT07tFHQOsoCdax5gXIPOhqCaJYY10U43ksRBcLmtPY0dCc9cFG4ZhPU+B8d7CrUXc6mQQyqGDlUM+qjeJD2xCQiFCpwtaE1yfJqk+XmrCbOBB6GZ12HwMsEhmTzIO+ADMQw8bMFYZvuOJ2k32BWARaWrp7ibIE4tz3ptS/eR8SHGdfrM1orEnDO1n8JgH2Gs5rceDiECG706ywzkHNGSQXhzAa6J4rHTOy+sTmAXmPsYOOIw2dfraXBsabBWRtBm/d4qGM8vAAVgNIaa6XzXb5cdkZdgxQNBJSiXKQXpwpVTctkPSPf+v5dQO86sHBs7aNHFWeLaeaqIOt21F9bU1LLd/l2wXbnQHO9b30tOI9p6i1tvLTsUTtUSumiBzVjW1k5OcYFP/z5D1geT7i93FlBDw2//Ce/xKdffsS/+F/+Bf7V/+VfYV353K01+IEaVHIyOroGnCTrd1omnJ848xmmgPPTadd2aZ9RhtVdWz3VFNghlF6pCiYREYLzCN4jOGcU2tb8bv6PtNrjtB+pm2+9Pj7X8fmO7x9KCN88dE9T6q0GB6W1ncC3ttFpDUjXlW2clG2k1G1MLQ556w4JOaaW3X93t56ZeeOAkhz3UFYRkNaaUS23+8bzSQEOGdcyF5yeTpCw2Z4NNJAW22ttEaTmqiSugwIAH8DZTTfBB85EcP0/j+O2Mq3NslbOWU29Zqm116ZmomrtD5BGcE2zK0Md5zHb/J4Po+hTFwx0KgZIZAEhr1lngeZ6W03rAGD33AWHibimNs4MYiuA3X0gpru7nLFBfAznUAnY7iu2bZW1nEHogofclJ52Ac9ETMNvQ0kCP3cHr8GUUM8ZXGKnXeeBZjYbgTNuvgehPD9FiFBti/grJtYnQok6/wDdLwFyAojQCHLv59Yf/N31QFLv7fX+wL3a9WhDGZYlSQCUPILKDlrF0xMUBLiA1qq11XISbCdppRXnaAGoAkkAtylZLyv7CDqHiFkK6he1xnuPqrS2om3rMqbTLPfB7Y9cIqvJ5BpvFrn0AEppwJZEHG4a7gndQW9ssws4c649fllvxO3Gz7kGVAYbC4nYpiVctG+5jG9zIl5FIjJUpJ3XCOJrnMHxQEqbZBSjsHcKgygGrI6U2n3QOT5rtdX5kE1VbRG0hnW9IYTpQNEds6DOvufl5bMkUT7h6elH3O8XPD//HgBwfviA+3rBn3K862BTD8327JxqQytgBuNVoPmG8/wWagHInK6N+/kA3QkkYmqq8OF35xJnPU4RuSkNo1nQaxcn5x/pn6WU3itzOF9rQIuB+12VgrJJzUkuaP6g6tqa9RMzBxqwIBkNRofzsdd2AkKpCc424921BmcqkE6K6XXzr3atAHxXfhwXgGUXvdQnjH93DnoW7te2X4gcFHvZ8KrcF6NBAGyTO37X8d5Gio5lsrTuJHHt3un0KK8HXK/frAFuq4Vr0KTdSefN8/lZ5IeDx5yq9XBzjgUKiEhoFptkipx9zgJyFbAonLmZTvK3AZw4HjsHXMRimGo7ULN9f8/eYd+P0XiMr31vfbyHg+X0vQnMeBGVIQLSlvHy9YLby82cdaDPr3Eza41rNdN9Y+dc+tOpqIaCL/yZ/gxkd945DibuJWtf99ci4JNvzjYlU9IbWutwBgJ4+cwZTSJC2jLW6w0NFc4Fo7Nu242z69MsFB8ndSq9tkUV8fj7CB9+fEIrFct5xj/+H/4paq54/PiAy7cr/vK/+0d4+vSI/+f/+X9FqxXX2zPXOQu13DmP/Pw7AFyz3BrXqTw8fMIv/vEv8OGnD1hvK5xzLJalCrtO1ACdtpOBZDAdsjjI0zJZA3EdC7Uf6pxOnlsJHTP83/tdjzHDuQ8g9+DeCDra/JBnWw6fO7ZC0QBKa0Qtq+dEOGOYJ3GK2MrKvWIdoVatY2twxGJ0rfVMuKounh5O+Baesd42TI1Fl0zwpzSslzuStDu6C3W8CXjrY0SI3DpqeVxsrE5Pi7S8Is5etmpKpmGKiNJTr4joByuYsioplyh4+DjYfN2bGge/Gmzac6hd1fd7z8teo70C/c4G6vveCATe2zHemwudFsqqxbxe0sYsBudYzyGnjPW6GnXRxl4BSQkotnuyWkqA/YB8TxzIzhOmOZrgitbcORcwTSQBYqcbstIm74/esR1WIARSx2isBUDqR9WM8j2yeI2DD6IyzVGifab3OOdAj+2wvKdyXZ4KyKnWh5PMabf5OrB/eKw7EAygdn8MgNlTrSHl9xHQemDYGlhQ8QCEEGh/DQp+mvAV22wNpFqTtnDewQcGt13wrO4s41qE3bQLhByrfq+XdSjDAicLZAw1YG5Fg1mPCGAbVHmL6EXUUjkRI8C9KqprDayTErnmCax5lhGmAFUIbk3GqBLgGlBJlM4F0N9E82JcxxKsOxR5DgLGggHJDiJzNhHE83LbNsx+wXzi9lwprd2GQOtqqwB71d7TWsM8n1FrxbbdLKBtbShv2/nsLABEtAc/x/eagrtz1g9eGXL9v1437ZzHaXk0BgLA7D3vA6bphCy6Cds/tD75/vFdx7eNNW31zfc2RYjHYK7thQUaetEwgB0lU51ARUFzytY7bswueR8Gjr0uEIAKGY1IXz86/Ca0UJgiRxI8pJQxn5heksFUF+cdfAMQekCpwaqq5mqGg8/ZrH+mFuMDPRDznsBy9Dak7NT6PkZ8brHTgdV1Gyk1rMLVHuyMap3jYWI36ihXljrnsWVAYFd/KIPlPFMbsLHjxgD/kNUTatSrQFOdz8aZ2LqxdQ+iwlsriw9oEbeT2koiwuXyVegSXMtyuz1DW5YwCtuDTQ40V5DzmOMs45rZMMk9TNNJxFGcScTztRYLSAHO3OY1YT737JPei2ZtnCM0yRZrdmxUSlZqy6iCa/N6cN6I9grMrbFLO7II3uuhjhU3Bg/cMkMoP9t9w/Pvn3fv3w2FAkGtWS8wFzzW+2ZKmjWL6IC0GRidW/Pi0Z+H0m5LHgJU+R7NOgCwFivHC1Phr+ffP+Ply4U3wHXD7YVpPfN8Nqcsi9OnNcTOeduYFLGFADLT9ADnPJ6/fcbl2094+vEJy+MJYYqYThP++v/z1/gP//o/4OvPX/HP/+d/jv/u//gv8Jf/8i/xb//v/wYvX18wTRMef3jC/XIX5dtsNaLzfMYPf/4DHn94ZDVvAfe0H7HWkylrQjfXuETJNPB8516djqXwXR9Pe9byud6WxFlW7K3AZXQIjmJCx/eLD2PfMSrJArKvSGbTzglG5Rlfey0wVAsHZttts5Y725y5PhNA0cwhhGEiNNqCDIcIbXvUVY0b/BTw4adHvHx+scxNnKMp0qZ1w/3lJnW9BTVX6TnnEKbC7BVxus8fH5ALq5OePzxYENAqz90Qg2VPqgCuPHa9rzRBMmo5m7Cd9lutpQHEGXYXnDVl13pXCxp0728Nnhwyen/CERDa1ZYNDJoxMDhS0t7LcRRPUh8hDEJBVdaRMieUeq8ZKzuX9IVsDVYnTY4zhs45UOA5GYKzPrcaKKA1VN8BfADWFqnmQbzF9fZqajKLBDMc0PCcLgOIbwwSImAIxojAwSQ060a2NsDvZGaKZDmpsS2Pc0TwIvwnbAg3ALdvBQb6t2OwqQw3HSv73TsuBXLd72Mbtw9qnXOcWHBCVVbMUoKvIiJq3echoO79L6271u9upaC2inTfrMVLmAOCgEM1VWzrhsvXiwXz/R7RtTec2/0NgKxp/rufgu1/VfYyDwYrpynsRXuGgwEuaXcidE/vCS2TsfpIlIZdFT+3Me03iiJrLfsaXB7nvaprnyeafezgSloTpmXigLNWbJr9FLtzFE8sJeN2e4FzDtN0AgAW4hPV2X5vg//lPMi+U3O7eHVetJ4sSdvdSrLseQ5+bykJl+tXnM9POJ8/YlkehFp7QwgR0zSzb/snij++22DzuDHohFDqrImoiPNnhy6wQ/H/sRWFvudoLGqtHdGBBDZt+P7BEk9zlIlNolUr8xKwbBdZgABW0FJakGx2pRSQomikxrEibwVxDpbdbBBp6FLtHpXjDrCcORvqbgicCn0QpNE3H62KyqNIY4MYYarDpuwkUA0xWGaSHPP2O/Wjj61RAw5iTsbvD/rvkS4y1K75LhpS7RqcZS86ak/IyHDFdTlzMJKufd2aZLr1AtXIkGcaLivXdhlqgO+b1bwuqJWNVF/cvVlxKQX3+2Xg0Wf5flgAyUgkB7LLchaDwL08DWGX73SC1G33DXGZ4OORnvMazW+tsQNFzWid43wdjyPd6XsZTv3nu81sEkn9EmcT4xQQp2D9KF8+vyDd0xDID5vtWBdbO4V2Wiake7L5v17X3TiOmS8cnqHOb52ntJvLndaqzp+ex+qk5Bprqbh+vYjy7IbLtwtAhHk+A4BlllQEa9vu9j1qz5wo2TmweFApCbfbM2qt+Kt//W+wnBf8+I9+xMOnB3z9zRdcvrzgflnx7/4f/w5ff/sVf/nf/yU+/PQBv/pnf4b5NzPiwln6nDKW5RHr/YLT6QnLecF0mvDxlx+5TYlzcBOPnVKQNVur4xWnAEyBAZmcu3QsuMY2EdeWwkmPSbFzhp5LwOmwr3nZBZfkXq0xPb6XUXPDszWnz94j/Tb1+/XVRgA1OEiLD6HRlsL3lrds7R8YQCqWPdf6bhcd/Mr1OHIlUvtI1r5KVdBrLqyeSEwH3G6bCHhwj+ScCl6+XGSeJGyb9I4OAeWWgNMZj2fOSN+ebwK4RIRbwulDwDRHlCq6BZ6/o5RqgSaRQ1yEkpuHPbeyGiQzDPpcRGtG7askDdhFeMY7B0eE3Hod7DiPR4YMsN+TNNh1wcFVVYl/v7aO4My+mLr0IKBlDB3pubqtyYJ4ACJs44yqzvT9IUtcgVo4zPfBAYEFqlRBUyoUMEnWiTUCYDXmLhAg7SzGVm2akfTewasPIOwTAAa6Owk6NONkwRs4azkswz4mzlltdXUNyBCAgzU3tNzJRW9riQHtrjxOeNtGjHbge3bkFbvC0S4oHQ8bJx8M7CG5XwBwpOBjt1vaPkspxFWEk5QaXCtQUwGJcFOT55LXLG3lKlZhxnD8Tt0p0HuonCBoGG1ff246hsweCvB+0xvk+4oBS/DdNxvvm8h6zW/3hIaGGLsi+m7cmpZ0aa/rYQyp748YgksZuL6POu1YoD4jZy3V/kzzjNp4H66l+55jAkqfK/uDnb3TGmcQNeDUPda+pzJ7hRMZFd7HXXyR8wZy3N+91mpBonPegMSxFE+ZhSltOJ/5hu/3C3LeME0Lg71hsuTG3/V4t8Gmcx6Pnx7s3zpBx0BzbL9hTpku6oPTrVlNL42G7bOi0jnWOCgKrE68BrSjUQjRW/YT6NLqHDBxe43WuEhcM5bA3rCUUkzRllEPMuOSc0aYA5bzjJU2fh+hX9chCBkXFddaRoSZG3mrmhU7AuMC4KBLA1kNgJliGKQP4UGARwy89wQXA0KscIkNwPistKfhuIFp/SQbJW7p8FZrD9AohMTtUiYXUYK3oFM3KqDTx8b6ASI2qNpTLG1ACN0Ro1JQEiH4rnq3LA9IqVNfu2FSyoI2Tufsp36u1m0wNJw51U0+hBnWlwxSvwnY+VEbSOiBWbJiu16MrqsB9nk+bvx7AKQJDUjfO/58K+jsATnebc1m7wnbnTAfg1HLt/uGrz9/HQJE+eAACujBtYMJ23bDUmYODkrB9WHB9fmKj7/4aHNXMwk27q3tKOVae3R0equsi6MaKwcggDYEbw1Ybys2EXK5X2/CZAhGs2LKbTElZD2XiqRoYBMjU2t5k0rS9sfjfr/g3/2v/wZp3XD++IDf/G+/wXpdkTbu9UW/Bj789IHVAFPB+eMDogQy5tTGCafHk/TLjPYs9gEmb8Z+ALfGpuWlsLouwCCfZtEA2RuEVq7jzQ5WRVUmR+i9b/U9wH7Kj7TZP+Q06pw6zo0dkAnC2NeMaE+Zba31bKUKG0mrLee8MF08ttuKtBZxqrl1Us4J63UDBYdpAnycECYV7+jXkzPvL7VWXL++IG0Zp8cTnON6rzgFnD884Nvvv4jd2+BdZLVsJzVPpSF4IN03Y1qkbYO/OcRlQvAOHMws/wABAABJREFUfo4ibrIx8DuOCUgEYDr128Bd7+C8iIm0bsunZZJsmoAKtSJKI/gdmPqd8g1n9pNe2T6dew7/+xAJsjU13CuDVt7U9ZUGDXDQEqSOlx0qyWSJ865+BEl7kVoaStpM7XtaovX6xcAcc1J7LDxnBlnFP2DRqx7KWZZTMvEhBIAAF7qCvnO+Z/3Q/T8NOHeMNUeDoBGBSoOLhOIKKEvitJ8ISvRokq2zEgcJwhg81DEesuivxnhIYhwAYc508t93TKOidagyT4kkuBtsVnDcP5Sc+WMhBLjoURP31fUeqCrcI3Fjkqyik9r4BgE2E4vJAQffQTLKGqwqIEFyzVZWRoS4TAbm6fLXeafjoz+jKA2r0rplHZ0w3NDQMret8jFyj9jRlkoCx0UGS/YK7r0jAQtOir9IzDbZ9eMdAEOIaE8pGbRJYIwz7vcrJyWaTbXB/2KGSUpVxB8x9G9XFfkxi/naJ2utGcALeR4qMAkABMlIp5W7HsgaJOEI67V4H7EsD5jnM66Xr1i3O+ZpsdIw9fX/lOPdBps6+YDB0QIEWRk2eanNHMV+vnc+ANYcPG9ZgkE+jo7IMUOnwWhJWegiPdDkz1MP2AIv0lr4+po03q5V6xS6cVKKyW4SyiIoW0GYGUFedQw4ohYOfhl6RYGDP3KGhHC9Jvfi43YpGc33heY8Gyym7MEcO6U4hRh2wRs/k8YKsTEgeG89u6gxquUPYja1dMqnPUvPaL9zDpWEHwLJ1GhLCM8GAACrulXN3ka75yoBK5LMFxWVaIyu1epYHU+ktu1ZOi20ljqWVhB8xDSdMM+rLXwAtvA5U8nPKueMado7mUTEdA4N2F2Xmmb+fJT3dVBD56vO77RlzAdnFgHIWx//8dgFKST0JjcaUA1ohqz8ITA1JBAdgXtvBzmyWk0dwxCZXp5zwbfffWPVTeds/HQNvhWobytngdKWMS0zbi93bP/u13j66QnLw7IDwcbPgbqYlqKsY8H/0SnQz48oqtrF1hryxgHY/XLHeltB5BBn7lnJIgMZzgXLvveMOsvKz/PZlGrX9YZtu+8yH/JmfPv2M17+b1+sV6xScL2PuF5f8Ff/6n/Dz3/9M5xz+PSrj5iWCdt6wfKwYL3c0RrXV07LhOk0ybVnxCkieDJhIC+16nqvbIMdUJnmt17uAJHRTM8fWZ12pOqToe4AqK+RMNBo9Zl4R/Z+PTT78b0sRR9DARnfeM69n6bYZXDAlCvbWWVueEcozsE1VqxspUqwLfdQK+6XhE1E45bHE9AaSiVx5NDXvdTwlFThAnF9W+VsxXZfpWk528vby93q8JeHGSU/4vLtxWzMcj7xfUmwooHEdr0jRAYMtjWBCAhnrnFqInJk0wYsWtIG6lbJBWHm1mBETKl1855dVJJSabWFCvpzU5EgtW3H5yOOpGVcoPvcqMpu0/rdBpsNe8dc1/SxxGK7J86KjwG7zIu+/mA0V+3vGoIHBY98T0hblrZo3N4orYDXoEOy7E56fDsHo5Gqn+PFVxrnvbITQuT1rKAygWs0uZdkQ6s9k6fB4Mjg2t3TEASVKm01VKNDfa8hIORWLlXotM6643GG1Bu9eEfdH4JL5c/WXLneUN8z9A02cFrYTbYfH8BHLYXo//ZQHQgOSDmAdERonuDhbU3qwChVlzN1dRD1gl0LSYCv/dbHPUzbJ+2SCHqtAvBoHSLbY/0+FpxUP6QUrhVVwLdVVqV2ju+zJFGwddJjPCWEKRqjbqTHEwjktYZT90UVTeNYWft7KpRBRNz/TOqC+d5hnwFE/bsxrbczhLjdHZeRdWE9HYMtrQAR5slhigsLA9UCxt6GkpimmUkFfHXP8iA05JYEROPnWwBQZb2FaVo4kUHc65WEdq61mY+PP6C1hpQ3OOdwXy9wLmCKM9N3/0R7926DTQBmRF6/PDjPRsE4DOQoEFSbFOVSp2NKLcfRACs9jZ26vsj1fSOtQw2F9x5FCpHVSCv655zn+gB0B6ZTEJrUJ/WFNAYVrTEVyoeAaWrYNnYMuS9RV6Jkqe6OXu7OL2OgBtu7LoBEjgPN2qoZSnbemBrlolwb7c/hBHlsDUy/lV5H4wavP0dVT76njtJpBo+bH+u55T1NhYQkSKUmqnH8fEopQAaab0znynuHvB2vIzgEhB6gQo0Kfz/X73qrK0tptQa6TdC9Jn3vdGONYbJ+iRqkqUCKcx5TXHRA5NwDlXlwsNQQFakL1kbDPSj9TpZlh+gNQeQbDrBm22DB/Xie3hrnPTpgvPdrdlNQPsmkrdcVX3/7dffe0Wt+vR6rqCverYY7p4zT0wkffvoAoCPVrXZbNZ6LN4g9WDV+R0m82elV7Gn9HQy7vdxRC6PS3jsDs/h3QgizrMFOocuZ65EbKub5hNaAr19/C4Bbo2g7lJwTKPI6L7Ugl2T1x84FaA+3GCe8vHzF87fP+PDxRzhH+OEvfsTysCBv3A8zTNwaKop4iK65EXQjbeUyjHdv9M5tpMrALrm93LmGdJnM2QU4ANGG8uPBdZR7wR9l5L61Ft86xjXpqNdRjs9wzGzqOtP+gxpo2nWSgxulZ13P8NbauH4zkaH3cebsQawSSQOWAeKemwxAYGNnOd03rLc70pot+5BTQUvcAD5Gj/lhwenxBB8Cbpcb7tdLt4+tYXGEbcuyR/G824RuvoKvU2nTVUSt+nzdZ3ZLZjE07wlxns17sbGv0js0V4QlQMNUDTbH977691iftnsm/DQ6UEP/Wc/67/NB6D6ND3shkh7UZ6S1ry+mzTI4qu8PMcB5WHBUXMM0cX/O+zOLoYSJ97UWnAnOlFTQgthdDbpqRYNm3gumOcJa55CWOPTALUSxBYe17JwDgmQBh2DKEQ1ZOXDW0NYqGXBiCTIBaVSHAgBC6IC4gkVmV5RW2wd5N56tNVGrxW7/UEEmIq7X0/fUIbum96U+Doith3P7JIh+Z0Oz5wrASmfMtql/1cRHJEJ1TeouNdCyYZD76/WyrTqQ4wzx6IA7Cew4vmwWaPLzbchrMjovMNwL2WCZsFRJma/ljTXIeiLiKwmTiLOhkk3EuJ/KmLS6D8pbs7lj16t/q8ex5/eMjCDtkRmmgBlntHbhLGnlB9hblTgBNStqzcglSWeCCB8y9xomeuXb8/e7oe0Pg0S8p852T7WygGUpCXcpR3GDOJC2YHl6+gHzdMLzy2d4H5C21Vh3rVZM8/JqnP/Y430Hm+OD0UJ/7B04DdT0IVqmQNp11Fwsi0BDRMTzpFNlx1q3Y90boLRZkubC+wBUDw4YpYnwkd8vC41rFPZZ1PFe9LXhpHCeMJ/nXUCnVAj9HkVLVJI7SPZV75lIC7AHWfPGQj9NlMRCjJb90Wb3fC4VJRr7bKqR7RQWPecoBtQzmv2WRhU0zkDWTmMZx4Qkk9pePw/NbhIBhQjar1YD9CQLnLPKZIJBVPpmqhmaJn2RAA7GvQtIWNmhtvvsheQxTFzj5rgNihVzO4/goxg5h9qK9BFjZU3tO5a31DfE2rhtizRp3m4sOKP3AsAy/OO8OGZeNBv31t/Gc+2fWd8sLItQ3i7g//t8mJqyACwuOARR53v+/TM3fwZejecrKrgESQxE3EX+nBUdHz89CpU075SfjQJ9OLc39kPrkvWOuN3RANroWhmdRXKE7bohbQlV2q6srSHfV+RbwjSJYIKo2Cmdtlr9VoT3Dut64+DUBXgX9kqRJTOlKESb+7Wy8qMGiYEm+x1EWO93hJeI+esFYYo4P50EUGNHNkTfbYfMP+cdtPm8zvNqdVLAtva6nzhHphcLSJXWDSVlxCV29WznDGAjCzxJgD8nfDA+XuOTrzNmdFhTts+0/ZqycXvrtYN9Gw+tRayOdo5HTTy3wjQjRIfpNCMEDvhQIwNuErzdb0yXddI+Cq1hvYpSsvcIE7BeboCAiDnvqa7aj7O1xdZFSRmtNBb0qFV6MzZzSnMpoER4ua2Y7humedo54CVprRFT/ODEyc4crLoYEEN4BQowTZeFOo7PRQGDfSZu2IuGNhVj1mJn+4Y6tvcIrAGwNWaCPkNArvNRbV5rzZS0+8cHyrFklELgfpv3yx3bnSmXQcTWitTVximIOJRQplWZeeP2UN47brkmAjfcRoUDUAaSYayq/e0w5VR9NRYrZOCIBoopabBYat8zQTsfhH0kZlZZdhDEyvO1Wm9NPa8MJ1wIllHSY8y02VGVadABjjEL2NqxjUk/l2UQoXOWNEEKO4UFywJmosG3PXtGy7ZU6Iw8MZivfqf8qLXvTxq4Ezn4UIGs4jmjqdA2gFzzDPF3DQwS4C6nbNlM9UuGIYD1+a6sNK5tR/SadMy1PlN7Rsc5wotyrfm7rgNVFi33QZVsZzUGi2Y2bbxUcHEHOvJncmaGUJwnLMsD1vWKlDZja/Skzqi8vSF4pn7n/LplnR7d1/fGPKq1C7Rx8BwQgioPcy1nrcXo19pdYZ7PmOczd1CoGdt2s8/w87jidn/B/f4PrU++f8hg9UyB9GikfV8mfuvrLAFntPwfeN/4Xojj99rR0NVmyN9BMETfy5v0XnSmts77N6M4IDLjtehqVCU2/UMtDfOJgxjNpkiZtjifADDQjhOjbPCygJyzGo1S9uPkiPOHpujoe+2UTlaC5+8oBS4Gu15usfKWQ3YYv35ru/ftsm7AUBe7l67fjdXopAIdHfcDbQVAhBrTBsqdQtaI0ET2vX9/FwJyPiDECS7dEeJk7/MuIBemONRWhXIYmB4rtBbvvTyX/pzZIJDVsThPcH5Gum+GsPEY88/tviHnjBl7ZdrxmR2P/1RwOX72rRpBoCOt7bh5voND2Qc+cg3zLI7sduu1mkDf4O33+nq8t9uGdb0CANb1ipfPUeo093VCeg5df7vDKLRt5ywDXYVWbRwgG5PvzgRTIW8sGCNqttudazNqzci5gxN8DodaOPAMUwBqw/X6Yvc9z2fUVpBvya475Q2+8ea3z5R7oCXEiRV4GaxhVsDl+hXrdoPzhOXxhJorPvziA+bTLJm3Is+CG7fbfdeGggJfnfXgVUfCgjsJQFW1Vnv/AmI3Ju6vaYI+B3psE4XYsV+xHkf7dXyGuwzHAI6/EqlBr/tUZ+gt5dljKxQnVFquMfdWqx4o4PRwYqAyesBx/VxskDYiGc+fL0gSkJ8ez3Ce96GbqMwCwOMnrqNNK4MTqly+PJ7MsSHnMC0RYQpIW8JN9rEq8zHnyvV4moxoDSlxa4sNvH/EKYrTBxY6S31cSmJWSkpDxuA0WeCnTm2rzB6olRXaW64HSl8fY7ZnzebA8Znys+PZoHOA+y2XN+3oezp4rQx79WBPWISKs5kKjFUBnDVAaLUBHlJzywDFelttrjnH+gmlcqast/jqAZhXAcMGAQmAGDwglFmAwQUuk2loGljVhirf62MvX6ko8HxRfH4FofVR6hzRmt3GEI+KJ7JWB9sVPzx/DXAAdGVpiY64VEgFHPVcbOuDAfPd39zvJXo/3W89PqPjYXuG2jgBoEhor8AYrAKqvLu3ddjphECC9RFgaurreg+0ASiToI21aFRxes/gcN7BVS+8s4rWHNObCwfrtRSUDKBW+CkaQMXij7ULBLmuoaB2yHvpNQyh1UqA30rl+vHoEaiZH6ugZK2NadeOuP2YzAHtWnDMRNs4jInjqn6qUIqJlV7rrWKaJpxODyAibFsXhrTgFJLZzITN3TFNJ659p7dq+z1UNi6EiHVNaG3P9KkWBAt4GoCUGOhmPQXWNliWBzw+/oBSMtb7Bdt6P8Q7FaVm5JysfvPverzvYBP7gO9IPXj1njf+7YdC9ON72BE8oKTHOlF1IrzHtEwoKQOeueijpLY2YWVFwAGpgtA0iGs3xywGAJO/1tdaFa45ARS81QewyIX25GOOut7HWItWSpXee0Kb8MECtNZgFI5agJYzI1qCCPnozWHWDLH299Q6gEiiXus8vKMuEU5ktakaXPP1DWOLPX3EOYfmGoj+QIAjhq/kZuqdRASIQ+ZdpyEDAAQJ4lqGhkYVvg1Z0ENvU4KDcxxMAhAKRBBlPQcibuBbpV2E0mQVhdq2G+b5jBBG4R/tPSoP22pRhBbUuOZW64bHOlcAQkvuVGjN/ozI/RFceWVElZbsHbRXw/fWgH1G4cd3digg4z1niKZlQq0Nl28XE53RMWwNoMM46HMoueD6/IKSE2qtuFy+MO36/CvJDmGnqqwKkN0Jcq+ubbxGln3PrwItvQaAM/q35ysLOsj3OEeIMQqropiYgHOes5PkECIHd7fLC7btDiKH8/kD13bcLzKfs9kt7xnJV4EQbt1TDU31PiAKTTylu6GmtVZ8+/wF25rEQSj44c9+4IATIn50yNTXymqxJR8aVgePINRKpkFD6pJlvQwZTHWoAaa3etcFgixQGUR7NPt5zGLqv4+sFUcwMQ59HpohGfcKDTTrAMJpcEmEQbVcr1UQaLReh0SEhAQ/ecyYWAhjBCaIqdX35ztuLze2hd5hu6/wwSOtSdSJE4OfjnB+POH0dGZBmC1ZfWytQNmYckvEYzsv3C9xWxPyvdev++C5kTwV1Hs2W6+tFBx5xNlLBtTL3luQN+lFXERB0nlx8OW5OaZspnuSrAdnVsMUZU8ZbB3oVfC+e0gHJsBbh2ZbRmD5XR2tmaKpHTJ3SilMd3S997bSpsesmtVBexIAlJ+D2k7uJQ40CdxJ7ASr7TP9r7aKaVoESOAgNOUCR459jbFHricJCCuABlTHbUgcg1O8RkQUpXRxQA64xMQOQLq1LakNCWlne3NRGyD3i54FtPpgx+wXH4PQFnsgq/NnFJXUPUIPa/0zPAftvwnAMsI63qMN6ecbwF85N7cC6r4nATt6r5NrK1UVX/tndcDaEHyJXAbbnQaxqQ1A5X0QEHZXr2nkxElhCrT3cLWybfa9N3BJBXnb0K4rpmVCFIBXAe8xm9jnB++7VsPaCK4VoDo08YFb5QDcY9/LnseJfcGCnlRx5FDpOASvE0qtNWZDtrJ7DgRuabetDXGasSxnEJxlEfu5VGAooRQP4CR7lgacozZD14QZVWXH/RWA+aC1cRmD99GYZz5ExDjj8fEHeBdwuX7FltZXQoCs3cDMvbeSDH/M8e6DTQ3ixsDwrVo1o328scmME6oNSmWaRdPfibBTOeSYRrKaMZh6qn6XCvFo0XUt+7rM4zW4gSJSjXrZqRxctM19xpzzuxYAvIFD6hOLIXRq+HhcmLcO560wuwplQdE1RYkACQqlx2ecmEILR9yIGegGCxWlapsOCajFOASpu1A0nmTgyBO8G7gT8pNIhDwEcR575Knj5tEddnbyB1GlIejSYydooOMvjlsz5Ivv0wM4PXJPpJs0MkcG4jQDqYuxaGuTEAK2bcVIo9Xn2SmyXAvHG2On+AJMXY7TIGIihfJKH9ZMlgb3zjuoiNQYRCuaCh2bgf49qiYPZVI7GqhtYGO9hiOZs90ZeI+HkznqgkeUWqF83/Dtd9+M8uUkky8NFHef17muWc0ixf+fv/4WHz78guf0qCxY+LnvDtrPdTu3CpwRq4fumqjLc66DA1RyRhKQIovSKAvyJLTCtXk8f7JQaFXmvWCVps7EfCfc7xdBUXkOTtOCbb2BpCG0bY5girhuhiqEldIdSVpw5JwwxdlqOS/P3Odr21ip8uOvPuHhw0MHpmROmhLjMF6jnW2tdcDQsVBYyZmpf1p7K06OsTiGTV1/L7Vh8vsgdyx1+F6LE33+GD4zZiX3Wd8eaOq1HwMlUF9v4+fG66hSqxXjBPgF5ID1nlC33BVsRyBU+htq/W5as+wNjMBvtw0EwrSwWnDNE9KWkRM79toPL6eM+TxjeeAAIc4Recm4X+5WSuEDyXckY8GEyEDb7XqD82fMDwt/Pwg5EYAMbOxs+zBbkJPuCfMDmWOfkAzUSVvGdJplftZdgGnZ46Pz9AblXJ4SbK95g63w3g5yzhgA9prsLffLnetspf5Xwdud8nVtUgcN3G8rNCFC3jEA5SoosqAVpAbQggXsAdestHfNQOeCQhycYBCvG1XvtfeqD8wUSjkLcFXlu6RNWz0y0WDrtFWymr2cChxVo2YbwGPBU0UTBlLUrGtrXG4QpCavjnswdqyyY6BIxMC9/VvUmPl3mE/zlq+482mVmUVD1r81VpwtBchCewXTfHkfchZ8ZwmcVJCJ6cX7ucJZ3O7/6r3Be15jtYLMRxZXzhN8C1CabQWz/lztPq1zBa2yn7teV1aUnpj+r+VY5ot4AFLjqcwrIkIr+16V5Ai5VEQio31rXaj6fy54YO1snJ0q8WGsj/bZ5jiqVFs4Tg4VoLaCbbtxjeQ0w3mPbbtLOU3eCaFpZtx0PFzvu2nfz6lnWyfOBRBlZv2ECdnUabl0RdXjmWWScDo94cOHX2CaFtzvL7jdXmS/81b7yYEmt275UwNN4H8HwSYgzt7gXFsgMaT3NdA8bsSvzlUbjH3hnNEXj+8BdWdAs2Q+eGRR5UKpgiJzE+6cgwWMNHDtUaUoetzgWoNrPdDU1wCgHdsdYJ8R0YAJeUAqLMASpE6CTv1zFWU1QCa+oEsgrkGtwjlnFTLh0+s163U7DVYgiKMIKY0O3MHgGmJnCKKsMaXKlaG+gzo1upS8U1C1/2qzceJnPiBFtV/DeC7YbXRahffA48cHOOdwfb6itSrPicdhSyumODP3vTTM0wmlZqMhWNZasqpaF5flXqZphnN9afoDlZsdw4J5mbCC2wW0wpQTHW6lu41O6fHYbeLt4Gi5/tMClrZ3dDs9/U83RP81H0GC/SBiNSUVXL5dcf16tfeMwT4AA0iq9PLKW8L9erdNIOUNX7/+BkT/k7EcAHlu3pk9Guck2x5VH+xgigFKA5Clny1CH4XM6dvlbpmrLIJhWgusGUi0hoYuSHC/X1BKFjCE56zWnWpGv6F1UQMBOkpOIMc1Ja3mXXCmis0xstM6iaiBD9w6o7SCeT4jRg6En3//DAD44c9+QJgCQghQ9WTn3Ku+yKosqhkYFZ8BqmUhvARZRGS01VK51+ZIow1DLeQuc0q9jmcMUEaqrL6m9/692ssxIOKYZr8XGfVN9gh9ryrSFlmLVexcmALiElDWTgksIsIB4kzg8rjYOs9bwrbmXlMpQnjL6QQVDKm14f5yQ4gR58cTcmI1UgUBp2USULVK+xG2DR9++oj79Y7ttrKzs2WUXOHDUOIi97jdNkznGQBnDgMYxPFRgERxNL1zyNuGem4Gco72q0hLMANdIMGBtv0xsbNhvgDYkWQk08nPsIvLoDXU6vCHmAZ/nw8iepXZdM4JIF6kpZm3khxgHzCpX7PeN34OQ8Y4l2JARhtZXRAmQohAU6AavJ/e2PkPQWpDq7baEB9M6vu4N6OTZ135GdW+RxEIzYHLelqvXdPgEJBASa7XHHyxp5q11HvVjGkvOxddB1EI1Z7Xux6jA+lltO8Y5u74Nxp9lFIsIaHP5OjjjL7T2Cpu3OuHL2GgUp+D+KV6b1Vbb0FEFeUG9syzfVZ2Zx8BZqHU1sWY9Gu9lDwQgwut9naCbrcsRTn9ziyJsETEKcp+JuCr70y88RqUAqtKutTEdtZmNGga/dxSba+vtYitlmD7wJBQ0L/WfdBfhjZ6tcKyrZCERa3crSDGBcvyAO+5PVjaektBFpwcejqLEix/Txf3ISvf2oNj5Bwmv8B7bwBxkSync4THh0/4Z//sf8Qv/8kv8Vf/+t9aoBlCRJHz17rCWrB8Z8/6Y493HWwy3XMvaDPSnhr2AkHqWL+VyTkGoG+l0nUBtNaRbnUeqwSX3nuTPM6Jsww5ZtSc4UbKRWXD5ayYt2dXnfPDd+m9QTbBOsZTr+vAFL1BDxZAve6FCMyFB9c5tQapt1TRIIeSWVKZlQyBVgQx2YrRPtTh1NYsZgSFdtszL3sDAfSFPH5u98xCR5zrIaiskrW1LNsRNDgYdu25xGpvxG1ZBvEVpdTGiSwTxEEoF6Wf2kkoXJuMP7eTya0ihglbY448MvcyqjXDkT4/RqSmaTGqAqO5GTEy1ZADFTZgYZK+UyJg4IPHTMQtHczwap3EIXvrxjYxMjRK436DIqtjb/PrkA3WXqcdr+jAxXs7WOzKWQ1TThkvn1+MsgrA6mwBDGPWnYNaGrb7aojh7fqM2+0FpWSu3fEjMACrz5UTwkSKBKTROe6cthqAZCxhdsGK/MWxVpbCel2tHg/oz9kyC84xwtmkQbQAI957hDBZoOhdMHBMKUDaLzbnDc4HpLSy8nKcJPjOyLKma61CH684P3yUzS2hVFZqnpcF02mS9ccBY7qzAFZcIjsHwSMuE7SHo/aJVZSbgxoHEipW2jjQHp+nPh/yDdQ4kAuS4XTDMyXidiNcVrjf4MdAB8BOzFwD1z+EDlsLlIFqS4OtcvKekYZbWu2ZSg1CleInNd5aZ9aK0EsFfPBxwtOPH7A8bEj3jOfffwORqEKmzN8roCcRUxoDsdOTtgRyhPk8IcSGzSf46JnWt7PjAV56E8+nCbfnG26Xu9mSkhpcCNKKIljAn9eE+MAtUTR41v2pgR0uFxxTMQVQqAN7RQ/uFyj77bieR5DAEVB2f8ThzR0k0evO++95b0cIfV0APauZ7psFXt3v2PtERITby81KPHIu5nM0aVthwDNH/wAI08LK0GndOBgwfQKPOMGYVXlLIBDCEpkO6Z3oGXgJxgoAVrltUqfIPWfZt9NnuaO578piyKjYVi5TGXTW/pyaxdOAzksWr9bKbdQ89z6suWkCCnBjEoMZCmOgYhNcDgvAMbQTGZ6H2vdxzo/JEnttuDfdC3oCROa/3A8J1bVUoYJqqdfE2hysz6GBzjBhxvUzkAGIDtTa2gDsfYaxfRogWekQkF1mP4z686o5o4gvFKcoGVAe/5wSz63WDEAEAAoeEJ9QQT8iLRcT2qzcp6oK++CRtOvEkO0eg38dW2qHuEAC3N55gbOSej21VmzbyuJtYUKMC7hc6hsrwBqVtgwtbiqCj0h5g7Y7AQq0fzvTg6uBzLpXa6/N+/2KgsTnCQuc97hcvmL67WSdC3heM7OuNddF9mqRIPXthMUfc7zbYHOaTlge5leoy2gomc45ZMoG5Gc0plYbMDoYAyo1OvYdTembmfaM4k3ei6PQpKF752IrAmuql0PdlZ5rDJK0FUaVAvuatP6hX+NowFqtsJjBEVpu9rqTQk/9PB9swFWVVhcxOQdXdfy4ZlADekWUoeq7kiVwvR0VNxDWRTtk0MYxPhpNG9/hGY7P1Qy3d6C2H1O+Tif0xWpj1mqDb28IsAzzA2A0m0GDPW3CB49gdBfOgIXbhOv1GzvSceaCdskKTvOCWuNujrEDGzBNcc+Lb0349QHtvpnamj4HbUUyzUx3Ylqa29Xf6jwwlNM7axEzGs4/tEHZ392eCcCGtiN+f6oh+q/58NEjTNIcOleslztevrwMWQ+y5zIeralCHKt+prSKSmvC9faMnFgdbj7PPRvpRXX4O0kTF7xlTEfngls+DFScUk0JGcR1LOmecL/cRc2Y6YZx4tq7KBlb3XhqLdi2qwnOaB0Vf5+X+o8kaztAC1u4NpODzW278T3L2tRgtcn7WDyrr1X9LACEyD01wxSt9cn56YzpNDO1XNqgaBsntQFw3WY3sy3ssE0L9+tMUkd4BLKAru7KqrRuD07KtXkJQr83578XaB4R4pHKOQoD6UHEAiOa9SR5f4GqXjY0kkyEc0DlZz46oFlKNIrUyTH6XhFiRZgDqvdY28bidLkaMu9jxPIYcL+unTUjgWirDVtrKDnj4dMjZk/IyaOkwkH8Ejk7XhrOH85IopD89NMTLp9fcF9HWlbGWqupDfspcJP43Oe3Od5i93QNuOhBnvDweMb1du9rRICbtCacHheZt307HB+bAjvH7BBTPAdHV9bxdtuwXlcrYXiPh9KUbcO2DGSnrKpADOPmnAkrpeL6fO0ihAN1T8eql+aIwIm0HyJHnWnh+75kjJrK2U4iDiRjZB+iKGMhDmvJO7TqQGjINSO07uY2USRukB6Oniyb7byTNVmH4IsBlFIri/0Me6oebthXmTI7+lw9MGPxMpgGggJJmmlv4osoE4HHvJqaPhEBrhmAOSZFdLz06H6cUHULq+XWrFoVmjXrGVcAvUzK6m/BIl+h+yWggQXXGkB77RLo+kFfc45I7DGBJNPZqkcuSei52mann6aWCj8FtsOOUCjCg8vO1ssNYZqwPMyWnVTabAV2e7ELHhDwsZ+8Ao33BQ9npWWtVaaA34RlaH43oG0NeezH2923JmmOwUF+jH2f0BpNIm59x/9FhDDhdPoA72/GImIm0TAXDvuNBpVpuyNLKYrurZAx4vcE6zAR44KHhw9Ylgf85jf/Dr///d/gf/pf/k9YV/5ezqpygOlDhM8RzifUsmcl/V2PdxtsmiMxOMKqMrYPxIZgUmsyDvRCPh/k33vKyLiLkTgptfXFp+1KNCDxgduHsKy8BHASCDhyQlFxFvz1+4E1WNaMIg0OjTb11sxon+CwjGcd7imMxf3ERtU5QqMunuEAuCAiC9XZovYyvoqS6fXllKTpsLPXtLUDCvPXtXXEiBgfqR69ObPb1Qzqc9WfOqZ1GHt1wDTL0ajXJDrPjdlrZUebjUQDicJZyblTOwTx4yC5N/YGYPQJIlHdlcCV748N0v0ecbuRZbF8iGD1Wc7uFMlicm1t5JYncca23TnDU7M4OXy/pRSEFriWr/GGw+10vCG3AGc/ld6jmdoq9bf6TFqDjfEuiz9sfjpPjtSbcQzGtfaHsjZ/3w/nHKbTBBcc1uuKl68XbPet37Pb37+ZBK1FKpUpZTkhl4RtW3lTqRmXy1eZZw7a+HpXkzkE98BrdFEBIEW+RzsFAF2anbi/533bOY16zjBFuNsGFwLu1wuSBMK1esuMFpFy12ASgIhhrSLbTqhNVSXRWQCAqNIW+0wI3N9rRH69C/BzxHxaMC8TZgkwQ/RSRxZ4DSeuyaRlMhGO1hra1h1OtbvjDmcqlyIuEgZBM3Ic2I0BpjqW4xGcZxvS2k6Rclw3e7+LXqvH0k6LBLV1xo3aRE/ogacEklW/px2/l593OmTwWmuWjeAAmiAFTv27S8VdlGfzypmr0+MJpXC7kpPjOZ+3xPRcYbe0xmDp7dsNy9PCImWSNTDQM2jzcL4Fcg7nj1zL/vLtyoF0aXDSH7DTFTNuzxXLeRYhooCSWajKAmtAAg6H2Qfc7gruCr0NrB4+0qGPJkozwuO/x586voAIlqwJOWXknJHuyZRV39sxzvkq82AsOdG9ubS2A7wZyMrQ2uzeokwyW+j7zLzMCEtvMN+Gsh4N0FS5vlUWypmitlLzzDK6rVJDL+wp1wOkkisowpRgiQh+8v37GlPQNZPJ9YPMYOF6UultmwEmtXuUxJn0KABvaw01d4E+EpEbvoaDz0KvQQ4MPuSrnpGDPSFZQFymBIz78zGBcgxA+ffhtAO1Vr/HkTNWAVr3vyh4kG9o2upo2FzaMBcwBHb6ZTufrrztGzDNuLfGUpVjN2RbWy6gWfYT7dsijKq0bmLLvYlU8XyR/Cv1ErTgOaBkl78JmF8RfUAjmG9bcuWWPJ6Q37puol3p3NGHsudxABa7/gHQmrd9NKUVOSfEOGGKC0KI0qlAqbNcwubgbK9UerfO5S3deT/1XIqivbC7s0c4nT/gfH5CCBOul2+4XL4BAP7q//f/xX/7f/gfsDws+Pf/77/C589/i5T42rVf57bdUHLCn3q822BTj/3G8RrZBPAKrTg60uOhDog6apaZVAREMj77oKjukJZNqbqOHZ4wBcD1jJcTJH5nVLyT1PiY2YMEsIIYgQvYdaIzzU6oqrUHiEoD0lrAXph/yKQaJXagb9UBsaJOG0Yp/bxC99PgWBefBm1EHfE3B20IkIARcevoEnbAVKcN6H8jLUUFmIiEFpuBtPUehEo/tOc6fB9Ag1gEdtdoRqWIwi+AGjycBMU+eMR5Qs4ZIUw4n9lI5LRC0ShABJ6MfphxOj3y+XynHfP9SOPs0pudO+9BblD8g0OcGRQIMUhmzO3n8VC/qfUEYyAzbgjjRjmirIZ+DvULRPgvxOj/r/cIURqPi4DK5cvlVXA92olWebVon1auj+SGzdxyYkNKd6girdJ09z3SYBubnpO096+MvwplcWaz16ih9qCTrz9gu6+4vdyth5kGhEWoqMvDgu224eXbV5Y/R2OxH+etntL5YFRXDdxa61lCpv8ko4WHEI2Gy6hpQa13C6anaWEBEFmv8/mEhw8PWB4WTMtkjeKP9EjSsvdUUILHdOKMgwahPgazaSZgopl5tRGyTrWlUBiCTCcBzRiovAryh3/vf8crFPh7FFlVox3fYwqXTYSC0APosWXHaD81ANbP6vtc8AjRoTaHlgvbBQUkHKFImUAtDSVluODx8OGBwZOitfAFN8lETaHTlX1UlfKK27cb4hK55vKeZL/z8JWBRwZTve09y+MZIML9coefAuLEdVgxeu7PWRtcYA0A8k7atjBVliT7hFSQHTvKWy787EcxsyrO6xgQDUG90aMH6zVmOFV9lYgV1TXzUQtnh/KWsa1/ugP2X+uh9FOABes0yzgGMiEG0ERYr6toFzQBOnk/qjVY2xDuk8mMBDTARc5OAoCHA1T8hcgy4c5xVqp6Z+qgJSVcpe2XAuYMynLiIEQPDW5LbvAoaD5IoCnruTo0z2Jhrem+7uGit766iTJoU40CwFGVmeIty1mHuk4NarRec6dUfEwKmXn/TvA2HCPji5lpZaBLvq3JcHyN/S8JTlzr5TPj96heyKDbAbGDxQ973Rvf0/9EO1/ABO3sxQY0QkW17/OBBNBs8KGhpSy0/4KidFQi659aB3qriyxqpKAPOe02IF9XKwr6swkxMDMDfdyr7JVKp1UnJ0wRTeuCR0Dq1V60B/9GAJpAQr0nmycEB+2eoEBAk1Z4THOdscwPmOYZpVTM0wnrdmMQmhwqiq1DANK3s4rA5GZdDWpjoC2EGZ/OT4hxRkorXl4+43Z7sev5+ef/gNv/9QW/+tU/xT/+l/8Ej79+xM+//jWen39vYwSA21MdA6c/8nj3waYiTtz4t+0UWo8oBTBSOPbB6VtiAMdgaQx+WNX1mIWTAMxTR8NIspLoDdEBmCw2IM6PBHD77wZbZDn8BEbAqwYULCWeh1YYtTRJ01fMRFLjV2w8Rlj+aExyKrYw7e2CKnV1XB0Pj+CDZTMBEQCIgZU9h8382CbgOGZ2v35Qn5QgMrSI1jbeEOCYPuAdqBVoD0G0TscZz6XPVVvB8HVqILWnRth1uq5w7L1nYxa81YqWWqRGaeEgMycsywPu9wvW9TZQGmZTo+XgY5O5EOF9FKdHlGYLb5iK3qm0twYblXqbjDhHy47rver8VBRSKS4750rHZXgu6rQ1XQjD+Xbo6QgE/IkG6b/Gw8cA8g5pTbi93HC/MGWvB3bDWB0C9SLiQKw6twGtSh0jq7xdLt/MsRvXAQNRwern9AhaG6fvk++q1kKgC1kwmh+x3Tdst42zmoruYsjcOcKyLPj868983ehOVK0ZW4K0IOjK3nx/1ZBidYK873TvGGfUyq1UesCZ0RqvC3U4zueP+PDDJzz+8ITz04lbRA3lBSF4psHOEfNpEuosz9WSC3LKYlcY9BtRbrTuNLNt4kg1CBVXhVCUkaKsDaAHJEcQbqTQjvV/gFJom61zNzyPI9ptduXw2mh3iwbNba83AIg4UIVRasdDKWA+BoTSUEOFS4WzowNo5qS3LwAJECoenh7gY0BeE+63FajsHOZcEKDsCbY3pRSkdcN2X0VAiwWekorH1Ga9Ue/3hJIz4jzh8dMjC+ZtSer1Itfk5WznzlsFKMO53lPVO8f9GVsHVG73lUEU71BSNrtdK9PLz6cFx8P2l13mc8hWlApIu4QiFLycMooFnnVX9/yejv0+zmyrnIoFKSPIlaTndM0KDGhbr7FfOAes3Id1Qsk8N0qu8FI2oPuX8wy+axZKn3HaVm6ls20gcpjmCWGORrOHALdEKtrT4FxFrZyd04ChtSZBldyf432fRASHxYJgPpyytHQsrAfnbrwg8W0TwNkN4BYA/b7D1sjj3O3+kcUyHs45VMdt1vg9HATV/wwmN4HBHlcaauNAXANJfT6vRGBGG+e8+Xd6vvH9Ckg3eWBmw/T9Hl2gqfUa/wHHtkRDiIHrt7XcKVckyvqm7o97jyjzJq8JKRdMc4R33ur29bytNU62CHhZUh6A88KBpTAwtGSEnCjWDvv5W8dRJOiYbebPcp05UTOQWLObNi/BYGxKzyjTYtob8/KAaV6Qc0atBaEkrOsNpSh4nQzkyHmDqpDP8xlTnK3X++32Dc/Pn5HSKmPC47uuV8Q449d/+28BAL/4y1/iz6d/jNPPj/jy+de43p5RW5FWaH9auPi+g80jenMI1gABmYaMTz965gb6ngPyNBplDf7MYdcNfXCa4ICWKnwMiDMXuzvhqpfm7LsYfWug4HaU1N0v43VoVq7qNYoohNYiOEJt/LrzxEi3bJ7zacaOWjUgmvaSiZGQbQpMP2VlOXiHQo5pEWJAffTw8Q2VyHH8HRm9SwO8Ia559f4x86miNtqWohZWvXPtteNlGdcYWIV3RKdaz2hrs/KxSfMYPGgWVzcJH7phqaUCKaMJ8h8mrilbr/t6IO1dyJmfLsRwu30DETvr83xCCFE2zWL9OJ07oyQ2qorWc2DdgNpk03a7rOZoJ51zZmiPQePRyW1vGFk2xt9Xo3uvVNogm07eujAQhjlydFb195o525JTEVoqI9PreoWq3d1u31CyUKqH5t4WeLbD9xyeE4ik9rF10a3h2YUp4OXLMy7friyYopRTQY2dYxt1/XbFNEfcr1xXuW23QyYz7O+vdpU63TBZfn0/H0KYoAp6nNnUoDTA+YB5PuPxw0d2UgcRKic2JMRO4RtrOC24ExqoZijjFJG2ZDVicenBLxGxmq93iDMHMEHoSn4I9JsEdhpYHp/z+O8d4Eh9WugzqK19d34czzu+7ygGBPTsp/67DGtQr7XJfyz+KE53dJgQgTkipczZgcafD1PA6bwg3RPW24r1ckeIAQ8fI2cdGblEQ5GaDBbwcJ7bHjnHQmnr5Y6SuOXIcl5AxEJaeWtmCyGZk5IzSgam08zCM2uCD1zDSyBghgQ4G3LiZxyXieu2KtdStlSRtsw0svvGNevOoegGIjY5rQn+4SzPpwc/Y1Z5ZHaYHRTQLW8ZOWVs9yS9/7Jcf9mpsb7XQ/0PFczRPRJiN5S1AYBtinxO52SYAuZTtHYVKtbUSuEm8wTpMcz7sHMDnVaA8lo5U76cPeoyoaYCPweEwNT6MAWxkyyUVrJQMcWfUGXZVpu1PyGxt9Y5gIZ5UXn9uykwFTypUKLU04MDR6LepkwDICdUbysHcn08APXRlMnZ1/P3bMv4nhDDznc5fu747zGQUb/UVYcW1O/q7BYFXZRJ4ahrhvBe1iw7+ta5bV96I+g0EP9QktPvVa+/j4n6UN47tArru8xzhOBDA6awY2ylNSPOAVHa+43jCOLMsOpa1NLrhq37QiVoGycGSJx8busX2H+8CS5/73naHJDkxu7ZjoJwMrY5b9Z7WpMSMbK2w7I8IOeEnDdbT5yoCPI+3nO37Y7Lyxfc14uIEqVX82Xb7rhdn9FOj/j13/5b3K7P+NVf/iX+4r/9Czx+esJv/+N/xNdvv2UQxe9LMP7Y430Hm0cqFXUUBu51T81X9IMDj76/3j83qtl6SesfDQV/rCPu3nu0SShM+SDqA3T6qRrL4bvfOmwRDxkN7YlpdVOkiCQNqA/fs4oWmdgL+j0Ukyr3uzYlzg2GBRBRI3YC4xQQozfDvAtkLLKT63G9fpO0lmygNe/HutM/yRG4oxF6BhP7Zsf6TMexc176cR7qTe0Zez4reQcqPdB+9ayFghw8wdeBzuJ7NjTJxlVywdzOyMJ7n+cTUtqs7s1qyTykXUpGnGYodck5FQRqhrTP4qiNwflOCrx2FNDubec465RptskcDdEYuOxQ/0Owo9Li7/ZwhJIr7pc7Ll8v9vL3Nvuuag2UlEWQp0qWj3tLap3K7faCtCVbC+P6HGmBKlIwrjmAs9wKIDjqwgyAzNda8fz5BZcvL/Y6eVlzjQGK++WOau0qlDrHjAFty2O113oO54HGKDBko1NlO/1upoXzBlhysqAYAB4ePuHh4cmAj5IyknPWA9THMNRW8u978avuvK1Sh7o8cI2fvq+1XnNcG6sPaqCqNqbUiikEOCIE17OctlcMz1XfW8fvl/do/RcGx2Hs50hEOwfNxlEdsuO6ejUF+7k0O9ODzmoBKl+Ls2wqz5EAZa9EAAgBKWdAgoSHTw94/vyC9XIDOW6PE6V2dlom6y+oANd6WxGi56DSRQ70hlr9+8sVDz88stDPulngySJrInhUuMRD6XHr9Q4iwunDeaDysW1cL5w1neaIPNCiR6r0el2xPCyyHpQuzevPyf6qwbn+Gzsz9gdsXOPzlVJYzViCzhEceU+HgokuuB2AZVk+QVW2NbEyMTFwkLYkgR2DGNMycW/ETd1MBnWYASR+SeO1WRJMHZqD+mRCOH7iGjoW+gpo89hXs2cmGxpgzrdeN8+hrG19QJaEUNHGcW1WqdXk2+TNdVTUD1bmImvcE4P6ep7RPon/MuAfXB842I7xMwrk757Fwc5YX3USkTiPwX4M4K+U7Km+RxnopV7KtBSQ0vvhL+JA2rK8kMzoG+wJ/VsTRXJxHF8BaTzmDqAG1yoqnDChBsor2CfTIN0H9iFb8Mi5wLeGAqBsSei1EUvjhE0prdcvrmmn+2H7c9urrSv9VanxQQJXEl0BDOOiZUnjsRNLlO8ZNQqO6v36fI5j08BYR0MTP29CnGbknKxVnrWEcU4yjH0+ztNiD09Lsu73F6S0mWq8KZC7IGq3XP+uLL7r7RlO+mJ//sLZzB9++HP8+Gc/4Z//j/8SP//Hn/Dbv/33rC/xJxzvOtg0+eFDdo1k9Tf9/bD4x/ccj50i7OAocLC1D0KLZNtIAqQm6CAR9w8rubAwQ8pobebLcATv/E69Vb7szd930tZCEaul7tES2VlpCJa0mS0RmRORaupjZhJqza5pHL863AsXWHO7lBA911tNsRs1/pQp1uo5+L+BPuhGw9mkF2gPxF8hRqLqpg56FeSLiBHIumX53Zl0us6HJteuwb6OpYdHc1qQ3kRV7HUB/hhwAo77/p3IaIp6mc4xlTmFhFqfJEMZcD4vHGikuwT12cCApOIrQYvnhV4rjeiVuqEtL3R8IM+1pWzPKAzN7kkQaToYPA12j3NbQZpmNzTMKRn7I0DzXo+8ca9H7T9oAMnBGdAAxwKBUpESC+vUkiXDmU0gYF2v2G4sFkbENKIj4gkSpHzaZy5/+cP/C4+PGdttQ31i1WiT7SfCdJqQ7gnlx7/BL08bnDhz+iSdd8j3jhj7U0S63XH5ehW6axF7wACHcwBR3zJ4bifO9ILpOzwGvJmNDg4Au/fT6RHe/7WpzxJxhmI5zVieFrQGLKcZcZk5cxY9wjIZCAapOc31AX/z2//e6m622waXigRKk2UyWmuIQZRrlU7uRJTJ5nufw8d6TXuubwCJakMBoLR9j7hSux2GOBTq1Oo5xgybdw6jQu34vuNxfEk/p3Rb7xxKecBp+srgwsTCPcVnlNQwBaBOTNEPlPDphzsob5jPM5aHBOc/I7gJDg1PH29ojw0oq7UMgHOY4w0NwHQGHs8ECh5pS9LmKwEBOJ8J3nFWf54a20ntFUfJANKUC/I94eFUMJ8Xu0cFH5e5YFoCaoGUFTAFuNQ/AyABsNR/VudQtsxqqbmLOe329wEYGMf6VX0w8b5VMgPDTQDiUoop9763Q2n9QZWeFZgnMsA55dx7mcreMM0RacuIUcS3ZH2NegPN8Twh50xXhiD7dZFgQQJG3bdtXyLJrE4e0xw4kJRe2y5oTfBAoSxsi2traF4d+h4sahA5UuGZjcG0/ZKKrW9HtC/BGteog9Frxavk/x/9NNIcB9nH1W850j7fAsE1aFY/h7/3DbVS/bzbZ1a5ltYjgMes9yHf2z6gma833ior+NKr1+36RhaGnJSfnTNhHyICgoPLFQXECubQZEk/WS0VITqEeUJJGZHENxOhw5or4szaFGnltoHQxBARtjVZSywFZzVYa01iYscKws7BxsE5ApRhSP05+cBq7dxDVTK9QwB49IFGX6A//9f+kQV84ICTXLAe6+t63fmaGk9oScq6XrGuN2zbjXtd23f3mk5HUprnWC+lkQNKBqQlSpWAHwBuN+5jzaUvz1jXK758+TX+7M/+KX75T36JDz8+4fnl86t7+GOOdx1sfvc4PvghsHwV0HwvsGttb0B2hkUMV6mWRShb3qNfofdCa42zX9gpuZJNekZ8as+00j6wBdCVvzIXvhvSB/A1tN7svZRiC71W7oWlqo5ViqKNo+/U2Lqds6QNrp1z8IC15mitWTZCKak6TpoBa2j71gzomTQ6juNQaO/ImWOsjsjYekO/bzzXEbE+AgX63JyqVzqtgeoZUw5UYfdNYvxGvyRMAa4QsjostfUNV2X8aw+kay2Y5xO896JAq4IrfO25JIQ4WcF3jExFU0Tz/nLDfJpNpt4HZ6q4uRTOBmF/OMkm1x0qpwjbHtUfA3i5MNtcXqH+4+tvOMZ/34+aOXPy8uVlt7mMxzh39RnWyvWatWbknFBq4VoLyfIBQEorvv3uW8/mHM4zAiHaN1H/Nscb1vRL3KRxMxWS9iUVcZ5QN49vv3/Gty8L8hYwn1noRxdkWhNq4QAMRPDFgdwjUnnB7XLlukq1F3JoxlLXUikZKa2Cus59XYnjxXaoIMYF3kcQVVyv2mJFGqATB4/nj2ektjClsk04+QXkCFv2mInFfPRz3hOW+atcE0lQWUGlB9vzecZ0mntNZ3CHsYUp0FrWUZ0T6DoU2u/BkXg1R1r/OarU2vxA2/3sn9v/29YeOHgdHRp9TR+hvu/YMkWpu7+//s+sYh01e7hai5xxzeYt4WW74LfPvwW9kNBaOZN8v9xx+fKDOfMgppYq7ZscKzWfn85wzolCZEBJGZ9//QXnj2cs58V6Nsc52h5XSpWsPFNtSy6YLxMLN8kzraViOk2YPk9YHhYoQAgAD58e8Tg/otUrWuX5rPfKe2qD84Xt4SDAB7DzrP8dn8H4LPQopbACahlfe5+ZTaCXlLwF1NfcA20LQiGtwKa432+lRVHaeu15TZlptYD5JNttRUnFQDc4N/QZ5H16WiIHJq2hVgjbobO/cm3IKUmAwLaF255JdlH3dyn3UTEgzeRmYV745uDJ7QQBndeSILKsudwkB32lMI12KIXYlW2hs1NaA7NKHLevK4NaPDSgG8a9DkwtHS8dF1XVH/fd1oS6qv6O4CqOHAqNtYndjuzu09FuXyfHehhjIkDtJ3/fwS6O/vToJOle5qXdSL9DVhwnh1rLPqiX83vnUEEcLFOFj7yeS0oiPtXpvGjs07rMwGMtlQF29akHH1oZSApYmD+ovmTlYJD1RlgvACmjDuNgc/Rw9LFSu879KtmGKJDfx2aeTojTjPv9Yl0JnPMoOSFO885/5e9k1lttRZ6vB8FJkqe3A/MuWHcDHm6eMzlLB5hWDAwvjjsgOPJ4yUmCzt/iz//xP8WnT796dY9/zPGug00N1jTIoXF1vBFwkn3o7UMRKMvKOd7saRcgcoCkdZsAhFoyoDtyOM+qbc4JEqj0L7Ax1YWhAa1RP2tFg9sHnK2hKtLoYPWaY3BljmBlRNtkpuXvIThgjrvgTYuCm4gOEaFLkivCprRNaajM9VOSPbBCJq5B1SC8kuOxOyCAtoA1ICpdWGmPIAlqqbx5R0ztk2vS1iTWzoYE7Wtk1FR9BvY8HEGhQFJjGzxqIUh6ej8XnLZa6dL9cXZSp5eBIgIIjvo1OW56Pc6HZXlECNxqYtvuUCSrtcbtIELkoF/QrfXGG30tDafHRVDh/Wazq3/zHZnmF8h6ix2NZA/SZZnI+HWb2OfRm0EX3p8DxjVbm9UmjfN1VIYz1oCq0K6pC2hIoFmkz2YT9KK1ht///LfWz1adh52T1wY66DBvyHHwUjPTgNQJ5/ZIjPCut3U4TeMgtFRs99UEOvQ7SqmIIWI5z7hdruKQ6D0H+/5e6yM9Gb2CZizmok6iI+6jFvyC+bxIMJJQCis0K5WVSNkHzdROay3Y1oTlvMBHZ0i8ZhnQGKTloL5hvWqj7ACfuR9qqxXnjw9c6yl0TXUsWaCpoXoWBXIDKGXPtjV7vbWGUvfz/2i3+NoGJ2MA5/bBIF6tn+8FPX9orY2fJfRem3oe7S+sc0eDB7artZcIEOH84Yw//2/+HF9+84XZEbWiZOB+uXObruCt5YP3DuttRWsQqmRA3hJOT2e0xqqiIc744c8+YZV1Q46ZEmWo43TOATFYveXTr55sjbnA+6HOr7xllKlgWiZRZOTyDwBIW0aI/lUNJbMMuL/gUVyptmb/Eb0O+nfnkL+VzHZAFWl3QlTv6CANMpW6DwkyG2cR1/smgXdnxEStn5P5VBJnWOo9gdzCyrWkzm0zu7NeN2xrggvO6qZrbQjBCZOHRKG4Wv07tyxCp762hnTfpB1Vv48QdY/XjB/rSijtVg8tu3HEIlgFgKvSXs6zTzDSVyE1iOpfsM0HtwmpAEnMogGmrrE+lj1A6+D4CLLDGGUY1q76hMakKK/bZJldskgRu58aSFrwODxjtOH34Xr5c80SFEcAX0hOu+vYB5ztlbCSBpwM8EvpBlUg9WBc/feetJBr94Q4K6gkVGGpCSap1XXket3+FKCimXp9BN1DHVB5rjp04UrOgnM2cKTMj21vWno7qbEbB+yGwl5T0NaZZkDAvCwi6LlXuW4iHtSfu7aBUhE6b8CCJqVCiPI+2sGbOl9q6cknAFzikzeEOHGpVivw3iNtDb/7+T/icvmG2+0b/pTj3Qab07SYCISl2PU4IATmLAJvBqJjdoHfIotcA8vR+XC98No5h5pLR/WG92lAEeeIeZmxbfsgD2BjohnKWtVxYSfG+774j9dKBDRqoOYwZvrsXqxmgfnzzivSxXS2Lns/nN+T9QK1ST+8x3mHJo6MI96otOcnG81O/XBE1ruLh3EfwJhDrWqfA8KoBri1g+M9jK3zDq5w5rU1pRE0VlUcjPXRUFPcBxGojes3yYNKDxhba/zcW5OgXoN42FgEBCRpW4LWi/uJuHY3rXy+nPia5/ksIgad3jwaJu+9ZRqJWBn49nKDC44R/wE13anbDXP9NTI2INAjCmvn4Q2uSgGI85A+pPs6MyIIPff7QM3f5yOtCS+fX3YBxlsAyfjMSmEBExYUSUxLrRXbduOazWELuFy+4dvP3/DjP/qJHSt5fdwoNLM5ZhmJmBqJtl/j6qRfv12NodDreQlpZQockQBFg2+Q7hsgm1VrFSkBpWxwzpp0oLUIzUbyOFQLRvm7PLznoCM6psIqLZ+dzpGWzt8dItfoKPpLYJZGLQVemr7r+XMpHGCfigXYnOVw5vDmlHF7uSPOk/TiU5vH3+u9xxRDd3BbFwXaAYKuO8HevXYo9PnbvEBvaXIMOPl7ut06HmM/TiJeT44aSts7eMejtmaBps4Odqg6aKFrVM8N7+AdO0wKRp0/nI2q9/L5Gdt9w+35itvLHaVkPH56wsPHB2svo/sX19d20aZSKloe5ve3C85PZ8xnrkNP98SZMcmA1lKRNlZ69t7bHA9TwOnxBC/1oR9/+RG1Vly+XCyLqecj79ByNVXakZVRhzEdn7X+Vw7rWm1/G/AetttVekkm3qfea7BJMKd79FWqd0zZz3UIVMj64PLY8d7opd1YA7e70Zpva2+SCgNPqRjjgEgpywU5F0wlWqa61ob07QrnmdII6mycdE/c37NUBilMyb/JvUgQIZl43hcB77xlp0MUO1gdYggcZMr+7iKfS8JHgGCZ2Sqq4q011FSBWNCaA+BAjvsjdtbEkDHDHkAaM2TGnhl8t3HsLFs2AHCapTPbddinTLcEjkWPcu7+I/W9QSnuNQt9We3m2HNyBNR0zyGpSTyUb2lmU6myux6f+tXqNzjHQS3A+4B3oFzQiBNGrQEUmInig0e6bxKQoge20r6kBWHeyD5n9bA2p+UrATR5Jhqsml/kyK6t1oaSktg+D+dmOJ9RpeXfDjh0Do0aWlZA+eBLo+8Z3gXJmDJAum03qKqyc94YhbVkBClT4RIXbiVU8qCjQCTtCLW3rGoPVNR6iHmcg4O37Ckas+1UuFKvr1QGyGvjRMifcrzbYFNr3IBh4o/IyhAUaibIFpBSVof36nlotzBfB6zje9T45i2/onABXJMwxxlTnJE2sr6QEDH8krLRWIGOhgCwvlNMxejGWg3RSJXcBRVSi+S87/F306xJY6ELF3ihuH32lGtJ906bnl+zKXpf4/fyi8N5otCFBf3r7WYGQyRcevj9pqcBpxoVvS+mXTXLxO0y0MQOUAVUUohRy50BEHrroEpIntDku9gIwxB6Qys9/905bp6uVFmWTfcD3YhV98gxnWGLq4mhaIYoxgjvP+F+v/QxFSn4OEc8fDgzna1U3F7uJuwy9uYkAkjaYyjl6PgsiAjNwWqJx+dJfqB2jO9/w0FWZFY/zw7u2+rDf5+P6/MV63V9tf5HSqv+JOL5oC0SctqQpS/llu7YtjtnNgcHF63iy2+/4uHTI7f9yPmNTfktVJlp5VYvNDAv0pZwf7mJj8T2z4eAvGWs1w2aXVAl5xDZgUuSCZ0WRkZjBNOSymb2cttuiGE2m1pKgfcAUYB3Ac55nD6cELxDkt6XYF8Dy8OM1ri+cr1L1lXYE2GehK7mudZ4cJxqraDaUIc2TbVypsNLf8icRRlTxiDOEc6TOaK7TEHovSlLa0aR68+TM4VKtXN2KSRZkk7BVNqso33d5TGrqRnNXTA7zLN6+NtbR2sNpVUUof2Nr+VSLZAq8lODXbPNw762U2z0vB8u5wW3lxufM2WEKWJaKrY7zwPnCMvDws7/lqwUpKSMq9SKt9Zwv6xGhVXBJlY+h9lE/ekDZyHW68pK20Kp1X3iw08f8Bd//gucponH/Bc/oUgGN5eC9FPC/XLH7eWGtCYr6QDYqeLWXG9ljb8zyMO6c5KZqpXXtH5PqxUvg1jYezqc970V02jv7lV6YHZbo5ke3RdJ1D5LLtYip+ReQpRzQZH+p03oo94p3RU9W5kLiiYJXL8WBd7zVuB8M5YGEVmgyW3oVK2dVfEB3eOM8tWBUvRcRBS6fZX9k32TA2ALYvHFUvq+ZxlCFmakwjthI/UdtEzmdSaShbO6dsU4L3k97QNHA3kdX4uWz3RhwLY7D2lwaGUNAkIPdTZjRrBCTbJeiLzfDQChgMtvsS4UWNTv0SBTn4GKF3ZW3fA56enpg0dsQVgWDbUSWirw5MyvrxVGF7YEiZSa1JqGpE3B6WGxvvFjhtPE+CR7GcOEWveAro05mJ4LUY+fThL8JW6/xSUsAwAwtJnriQOPRgRPzOxQcc68ZaR0FxG9Q934AFbys1dByYgQq2UwASAEbv9SjDml4paSeSFtC9UkFnCSi5N2U3lDDJNk5LP5pufzxx3Q/Xc53m2wqYc6bbowgc57F79h977dZw/B5A71pj3VrVVF0fq5ibjPV04ZU5j6e3UyDgbPS/Nt3djMkdfzSm/FEU1ttQG+Ib06H1naffyu8fvH4KHWirY1YAJCYYEfTFGQPW18e0DMPAHSXwtEqMSNjlVJbFSUHR0vP/YTlOEOziPXfV3YmCnqCpl+Z9i4ZUR79blGTbK2ADVRCfbVlPJq7TLc+j21Vq47ibLBWWunZuinPlPNdFqGwhFnPVKzYnh27h10iekznRy3IPDRo365oIVe/1YrK/49PDxh27qamA8ej58euIXAzGjv049PuF9XtNpw/nDimpMsvdD2k3gIkPagxCheNc7z3ooG5kigqpM9rBna18nyI31/NNrr16v9PtKO3tpodb7kLSNtCet2k1Y3Gdt2Z7XhYe3ps0n3DV9//oqf/uJHaCah1NfGff+d1PswZpMfhCPCy+XOVBmvdipgu6+2HvlenNUfcfDprDXKfJpxfb6y+A8Rgp9QhVLbWkNtGY7iDswgYlGr5WFGkKBxsp6JGSXxfA5TYOrrfYX3HufHE6IoV8YpwEVvwVyrzer6OHPpdSB2Th7/LXYb0JpkNB3SfcNaG+bzDK+12UKt7FRZlmpwwCtbCQAVBC9rxw/2SV9zApwR9XrLV+AigW1l+/7cweH7dUtS9c7S6u4ZjsHnltmJDxogO2cO4fgdmiXRUoAiTrM6P3HifpnknLFKfGCl4LRlPHx8wCaghKqRBunn6r1DzgV5TQhSn6nKoHdRnFVbp7X9APD8+2dsn1csTyecn844PZ7MRv/4i084z1NXvhQ77Ikwh4B/8Y//AlspuG0bvr5cmIWgiqKe2UUNvU/p9yizbx2WGRLarAqF/fyb/4jPn3/9n32ev0+H7hPjz1qK9RkFwGt1ibsASA8FXLn1UzMF4rxt3Es1deeYpEaQJDPfwECXMx8Cr2r4SLM1hX+GGMQOjP2lpTauNsvK7fZyVFTJdnrvLeBTDQTOVgJ+8iYYpNo/aEDLPXjS3rBsB1gEi+m6yv4A0Ibe64Xpk04+M7Z3AvZBCgvRoYNl+jsGP2nQtTDRRBlTC2Ad1y0SGJSH+GZj9vIIZFrQ2Bqqq2hl36PZcr2DH9s6vs3nUjtVmpWXCYWwA9WaDW16v5KFrl56ijdQFRC8tZ2IHoBePqK14La/aklUwXZPmBZl/RyCXK8t7ySb26TV02FeE0ScsTDVOqeuTTKfJtRJyzOq0L4dmt+X0Ol60rmT1g3buiKLr6e9qrX0xmr9W0POyUT1nPOoNcO7ITsJiC4CwQPSjUKfVxMhIu3Vym3NqDYADkQacxSUmuFd/56H8wecz0/48uVPs3fvO9hsvdZphyYPWbb929v4D0Fz9u8l2mdF7bwOguoxskJgBILFGLiuyscusrA7p3cIMYK8Q75ny3Dq4i15RNDc7uM5ZbSN78kHRiSVBgTf250oGqeTl8VvkqA73jZwPbkLTGGtqPBvjIHeezv8wXnfaTHDuKqwD3lV+xKUCyqDDgMF6oAGvYX063MKMSADPXCuuhtAaAIVrfaAtYKRVFf3NFAAKIVswzGlNg3EhnvR34kAMjU15d83VOqUCnIOIfZ6g9YamgTHQZzfWnvGpVZYLdLp4WzOmwoBKRJ3emS1Rs0w6Hze1oS0psOmsafX7mpYAc5wmtNOx6k5PNqOpqL2dcXB7H4s39txv96ld+AYhPDPEdBRJ0Brdrc797bSWs37/YKcE2rZ15aRY3Gur7/9iocPZywPqsZ5AAE8N6o/rgt9m9Kscim4fr2yYy6BRS3A7duNGRmBG2KjcSBXCtdbtykaHSvMEXGasIn6HTmHktKwXgqm6TQ4WgGn0yOWh1mcS5gERJi5ri+t3oS48srtYFyI4oypuEfD4mbrvcdzt3WH0nPW4a2AnXv6zdLfUeoEpYxBe6nRaZY6sIIUCubpdTZhHFM92E8cqP6NA1OrgWlAEJDGBHtaz4QA7FRpKdbIShspvPbacH825iNAOAamQ/BpAfRhbLLtKVwf65xDkOev9laDgPk04/R4wnbjZ5/uCWndUFLGel0lm9lpamvh9223DXHhrGQpFfW24fzxjCB9Obcbn8NH7o2orWgACVrluWhAMy0R548P2HLGZV1xnmZsOWPNWdrQeEQfcIoRS4yYvEcUQPLbz9+guAS32ujBpj4LwmFf01IAsXGazWiVqZ3pvuH6fMOX3/0Wv/vdX+N6fcZ7PLTVlra/IGIWR1Z1d8+gxC7bZ0A7UFDF/2ky1wjpnjvdGzDHeYoeFLyV3DQ0BqpIPz/MNaVIil/iPMwusP0opmRahMa9rRugBAqhFzIwRSiZ7UoIAXEekgFotv5rqkhlM9/Ge/bvSmH74qcOgNfa4Gzvp53AkRPbRUTWOkl7jKsexS5zqT7XwMQ4gkbjnqttsgAYM0+VyTUTrcAxESG1ipZ0PGHsGLsGYZyx7yZ2xHPHgTbu/8P1WJCpFOH+AvtA8p6xhKTVOohZDj6Jc/C+oUWPnAoaOfja7DmktfeYtI/K/akNHNXQ231DbRXzMsFpeR36PWs2Xum+tVQW3LFnAnuu1LS7QcVWNvOdSei9x/Ks8fk0YeOkNSHnhNaKtQQbgdKjL8XzP1tg6ZxDzg3kvAWaWm5VSgHIgbCv6dUspSO/Ayj6/OXr2LY75vnEe8F8xtOHn5DSBq0R/bse7zrY5IwaH5bdGXnotdcIfr/hbDcAFqTSPqu5ex8IXLIojscYaFRuvxEmv7sGksym0+DlrtLKfG6lurXGNNCGTpO1fnFKq1Vj5/fB8LjANUhU6oaXDd8rd7s0uAirw1M1NO27pQaQ0KGs2hqgffAkiOQPSRBjYg/OKLfFjQ6jvnc/5iMtQZ+p/lsD7LyNYjjEdZTBd5XnjP1idkMWYgwWvKr1VtTKaC4Aa3Gyuw5HIDXwjuCaCPo0b/OpB3xiD6lLnYcpYMEC5wjrbUVO3DS9FQYo/Oy5PqoUTKfJHEUiQtoyB6rSjkKzBPOZm/6G6HF9vpmYS/NN6MNvH+O5j0EjUV8nGrXqprUHct5noAkMdEPXbcCYWQKwo8vUUjiYSesgDpRwv18MrRzH2WkNypbw8uWCMEWEaYCQAUP53wzo9dnI9V2/3pFTNtXPMAXcX26MdGY2+gnoNdVyipIy/BQto/Hw8Yx1vbHwjo9MBd5uJsTTGqP4zs04nc9wkbMArTGq2or2Htu4tm9gZxQRR9Aa8ForqBGIeOxKEKrQ1KlxatNccCg59+yVtFKIUzCwS1tUbINQllI/QwxGtdSG8TqEahN46PcZRk97m8TMiS4MNPbC1M+rA72bT3X/d35tLzQ1KszWNqDjIIAkcBJgobUeiGofwCrCOEGyJ1pr7QI7JEGcou2+7dazDx7zecb5w5mBzDUhLhEvn/v8vl/uHCS23qN5va2cvRI1c3OaSmXVct8dt1IK5jBjWiaxtwXTHPv8bk3apwR8+tUntNpwWTliuKwsbDXFgPtWcUdCKhmP84IpBCwx4nxacAkXW1u1VqScEaWf6lEsCMAre1Zb7WBpZabC7eWOrz9/wbdvP3+37vY9HLYHD+Okjn0cemECGPygYa2MmbfCitzkCK4yoMH2I+4ymHqO0a62BqbcSmsL7d3NCptc323MNerXULIAV7XTN1VcL8QAHwL8xL6OFzYWq4ZzbWkr7Lf5yZvvo+UKOk+17MpPXkBccH1nCHCBv7NW6VV6EGvcKZprMJ8LcPApjdZwAPsthrPgcp8k6XakvyfnAoAFBzlmIMs0tsrJECJwrSP2fkD3X4fxVMRdgtXR7jWhvrqguia9XKDx5tDv3cSaNLrvz98FDyqV9yvp5mC0V2FicDmTfDRzfWZYIggke574K4FQ1owNzHQbWXKacNkFeSSlQ25cB4O/Iz5PLez/lVzALb+UEQCbJ5xs0jZiHPTVUlBbDzKPAqJKfzVaufTHrDVjns/oKu7cFq/WbLRYtG6D9TDfzuaIl9IXFcz0yHkztfwQJjw+fMTj0w8gcrLPv+4D+8cc7zrYPCLFhjTVTu/URfS9rIxOBguAJMA5fscemdrXV46BpSK6+hkMgU8jDvharNhWNdj7LNxIQdHzEO3vRftH6Xd8L1ibTiKnDK4XbWgoqYJ8gS9cLwjvpNfkYTwPThzQ0S6lquhiDd73exhqO3fPSpwoHS99S8mvs5tmCB2BKlnRv6I1TI3hey21Sn1dnwcAOu1FerGV1pFuqv0Zsypj3V2D/a4CRuqoiSIaMkyhFkQsTOT6Js5Vow4uOMRlYmqvZAfauBGB6zzDFLA8LAhTwHbfsN5WzOfZslDPv/+GaZnx+MMjHj6eUXLF6bHh9nLv427X/nrOcv3mPojq8+cw5uM5HEQ6fI+4vsfjSJ+11+kNBylX5JytkL/WisvlG0rhfpsdyRUEWQQsnGOVz7wlQNo8GEIsc2wMUAFFQVkKXp/r9cKtIBAJIQTcX7g+GIBteADEsRL12ykyMCaquOQI88OCh6cn3C5XEDmcTo8AICIGfB7vWeAMBFZCrSxokO4bWFXSc99DyUpkcVK9c2jBgxxYbCaM9NiK2irXD+WKFkWNT+2K2Br9Tzd4dRjUEVbhBhUOAtgRKsT1gNqDtraGKEGIZRxIazYHEPENG9DXhLOAb6Q+2fvlmTOxQJ3Rt+ugNUD9Ht12PFRRdTwcsVAE2uu1qWMVvGehuRjgswb2bKTCdJZMduEa38sdp0e2P1lEr9briuVhQZyZrbPeuEdnnDiIp41ZFi9fLpiWDQ8fHxGXiADuiXn58oLwy48AWOxseViQtsyOj8yF84czPp5OCN4jl4Ln+52zV7VilfsK0eO6sgrp4zIj+oDHZcFnCYIZfGSqcYT5x7uDQDtnjwU+XoMUP//1z/j8+W9RajEF5vd4jNRK55z0AWdauiptq8+hRxEGFxHTQhV42LaEWqIBKOQdlmkRNWIB74aHkm8Zm4hxar13aw3zMnMblTla3fm0sN8ByJyODrVCFIMZhPHksTzMUGHC1iSDc5cekLlKQMDgBvtOnS1UE5+nVa49bhXIpYjdlkDXeqxXBtOFOu4cGaOLT1Zf2Y3d70J7aBIEq7ChHwIhVdnXCIv9iWriQOPU1n3aSoZqQ0ERarGwcHL3uRjkKZyhIy8ZT/7PVYfmWDhIv4Q8JzXIA1GC7Sy95e3eSu2ZR4g/S/tECI9B9ym6DsSQRHAeFB3C5NlHJQZRiwrk1aHHuoCoIQZmzZVqYF67b+yDn/2rgNqrYjk5QFg5di27eJ6RSQJMNNGeRe2tt0bAzbom6D1TZ7wcx4JtkB+AaQdlr+wFAiUO8Eyptde1Xrk2uxYdQz6nvA9cr8n32a/ZOYd5PuHpw0/wXnu9t10t69/leLfBpgVV8m+O7GE9J5XHP9IP5I38cF6hAmqE98Iz/F2dwgZ0NMIygAPSpBQk/XdT2o5KqwSHAN6wE6nst05SzSq9TtN73wNiVXBtpdrEakaTlP88mQM0Oke1VfjCRpi8s/5GRZCZljgrUbbE9LvWzMCOgkxWu1gb02oUCaoVpREXepNDcN6cPN2QNOj05FCHAJTP11GaKtQ43dxMin1YNGV4lowCeVtYu55Yu8Wuxofbnmhm4Ig+MUDQa8d84MbJHBT0ayTneeEXbRItin1SlK39D7MIZqiRtcyqZ6VNfV/NvVb29nLH7YXr8z789AG3F1YMizMLe5CgbjqG47XrMx/ncp9XO2B7Z5jtPewN27N9t4HmOGbD5q1HU6U/0kxes36XaA2lJNyu397eLIiRSYCzBE1UbKsg6cK5eg24HDKser60cjDgPLeoKLWyQIcEwt45+BjhPSHlgipZ/7wl+R5YH8Y4Rzx8euTaEukXGmNECLzelvNDz0o0WC0kaRa2VLiZvysIHapKFsv7CeXlju2eMJ9Lb8kB3ezVpgIgfq1VtkElVUF6OeN0LReUlFm8RGtYa+3rrxCC7zaXM6cFxXvMh7qzMatJxHbqOA8A7AAz78iEgczuDYc6P7uAsw12SubBGDTu0P43DiLJaqK9Au92WYamdZ772n0FRpQuCXAbE/IcZMYp4vThhPuVW5/k3APCL7/9grRyRnS9MvCl9P156f1QW6nMsCjFaIr36x3bjR2+ly8XfPrVJ4A4swSASwZEIOrpxyfLRl63Deu6Wd19o4rpNDNQmDK2LSGVgqdlQfQe82lmADAGocFW+HnY89rgjMsz29VW6X4qWYrrtys+//wzK0n/JwCA93C02uBndshZ0ZPbm2xr6hm4NojbDP5HrRXpnqwGLswRNWdQbZgWVt5speJ+ZREppdEC6HXkFSa854Ljc5SK7braxqR7vg9BBFqy2d5aG+YT14E7xyJBec24Pl85EJmifA9n0OIUmH4+rBsCrH68tWaguSPd6zFkxImzml76gx4CTZ1ru8PiDtozxtRuCfCheiO11FfnHMHgMWCQxzPM014qU+UcKfG+QJI1PjoBuxZ6DkCV/UH3v8JfQsI6aY0F1+B43zF9kX1i0K7X6l/VhyBJBNUKNNd/B3rP8uBQ0sqJEEj5WPQmEFRKM20AFxxQgFx6WVlDw3YXpo33w0XxMy2qwqtjewAEbe9/FXDuE07Hg5NGmjhygGQ1bSx27/XC/tOa2cqBnijLl5KNaaSBqbYoLKKMrEmktxI1fB+dqaKAtQLKj48/YJ7Pw/vf7i3+xx7vNtjU460JoIGDBglNCqaPn9HF2RcDmbIev0+NiAaczmpBNPNmKqkkveSawDyOQBU75GHMHPnAaP96lXYEemjga85tV1SzjGJrRvEcRWEmEebIgwrhcXxYWbAClNkAygxRdKgKzTPnIoavwdEEN79OsWtQbIG4ODWeRuW1fQDEAh19crshKNbrUwPfSpVm7vpetwsEVByltrZDoEZEWgOl8dmPY6P34ajBqfpa3b8XgG1arjZw8bXIh+uzRTMDCXUyxcGuVLnWtzrbCAxZLQXbfcP5A3Pol4cFtVTuc1cqrs9X1FLx8InVONPGjarCFDCfZ6vJUpAFpIIPB8WzV3Oh12Ds3i/jZZTkg8DQezx2wbhu5DuaNPW626L94DZDJu/3C7a0Ws0EiEBN5oTziHHqYy91a621XW2tzUcBkpwAVBK1AJWzOPfrfScqlm6bXLYEYeooO49p5nYG1pqpcd2wIujOOywPJywPM+7XG7YkSrVxxunpYQ9wicBH2bLUc/HGlzbP1DOtLW682VPwdo1em2nLmvDBI0o7De8dfOAefXAenpoBRiXzOvCivly+vGCaIwucyeEj1wuOwbk6XKUU5FJwmqbe4P0w3lpPWVtDOPxtBBdLHerhB2GNI7hDoF1ASkS7WszvzT+zcdTbo2jASNRptDskW+/H/KO9ariBcyqsUSqCfMZ5wunxhPJTgXNkjJpHAby+/Poz8pbgBejjcoaM9bbi/OEBs9TGrjemvW63lQHLQUG3Nc6As50qCBMLU6ntWh4Wu9aUM7c4EfBsEhp0KUXAmWIUz9oaPnx45Mbuzkm2pNqYjDV5b42zOvkArOb35fMzcl7l2uu7DzhH38dek6ByLKvoWRP+fVu5DYmNtyd4z4CarvVWG+4CDDWJOWqrqIlFedA4yJu96gRonWexMhFudaQU7jvyVgT4ZlsdgrMMeS0ZJcPa4gBcMtCzVjwPfQzwgZVsyRFC4/KmY1DgJ6bwspoyA9gNTexhX0+16hjt59bR53qr/lyvi69//3c2lXsl+PGzR/DcfE40U9AdAz9HDKa3VsW/Gvc1oYpW6V2Jve+IRkOQDO6l7gjYgOYbWj4Ea2JT0dqQZFDbJHNJS8AkuaP0WFMJbl2MiIi4n2qUHtUeQHDIWtffhs+Vym1fpGbSnVSBfLj+w/M6LnGLF8bXiDgwH9rCHQ+9Rw3sIMGgJcXeCArJeXTAujDbR/yuUstQ41kR49R7eLfWwZsd+NBBRwioo8/EOY/T6REPD5+kv+aKnJPVOf+XYHG822BTJzEN/wYgCH+nnOpxdAzojcE9SlPvnIDgLFM2qhWSd/CACbzwm/eOz/HQt7XWGHHCxJL+taf2nRZRB6YxFcuuYDeByTsEzzz9WveBUkW1Pj7escHk+izutZm2hHZvJvCACnYotU2MjoEUVL81Zm89l7cyCK01yw7sBwM7MQdNNKix1edoz1SDNa+1HB0N2CsSk6Goo/CKXpNlkakbQPsex8ZS6bW1VmkZ0ox+W0tBn3I9O0vExf+KUup8ct4jhLYTPCLWpObebumxj51jOf81rVivKx4+cg+7598/I05BVM4STo8LfOBAJm37Wtf2hkjSOBe7sR2C94EabhukWv3hPt/bYRlhnUcEq2fegROyaXGrhWJB2/X6TZBJ2WjGc5P2xdrbgzEzpTT+43MiJ6BV4Z+19do55xzSbUNR0avWH1W1TYbFewBGfwnsGNYKhMDCGzklxGXCfF6Qn3kjC5FVRl0MOyDIGpMTZ1XjPFudlQse95c7U1vRQJnBmOk0WTaAYhAl1IDT48KgE/ZrsoGRbFcqkInb/9SK5bx0KXqtGfLOAsRWG5csSCClDk3KBXNsmJxjYRL0Ou4xQNfDEazvJdCzmgBeBY1j0DcGrWPWsg2v7/aD1l4JCY2fH+QDXjlE2tJlDHCdd9wfslTE89LPKcwQDgQr1lxEuIfVaD/98iPT99eE2/MNaWOH/fGHJ1y+XRCi5xYzYpNK7pkuYMLyeGIl4lIBZBF8aZgXtktcW873nVYGRrwIzE2Bs02lVpRWd+Jx5J0xQUrKZtv1WcyBxaJKKb1GTJ4JNYKVbBDtnscRbFjvG7YbCwPp6ya68k7tHSAZo+CMtqzjEoIXoFkDoQIUoBYnPYWLCSgyeOy5/YgGYKUirdyKyEdvSrWamdK6QK797nV13hOUp6b9qlWYTwNN9fmc4zYorXJ5DLcb6eJTKhxGrmdkuU8sDCyM88SKtOD53VpjsaEGTJjgInbikQRJTgx1baPKK998s96tNneqJiVYwPAVkDX4IK0NjLUxSziwvsbD/I1BI2BX0qWZWu+MmZJLQSCAYgUK16KqDob6kyR1kkcKdL+WzqBDECZh7f62+mCjkNk4Jno6VijOvXSNOvvD1IvbgZ0o65IDVweEBqqdXVLF793um9X478ZQv5+YgabsLdZeOPqmfVMdA9TxXoiImQBFVcRfB9/dTjs0DGChcwAcct4sq6ljl3NCjNymhdeng/eB3wsYoLnzYZ23zKcejjzCPOF0ejJRIPkgz//KgfH1+vwPfTa/d3gfzNnXozXsasyMAnEI+sh1VEAV1sg2UNjfxgmlE2GUVzeDG0MvbD5QPS3oGKiyLkidhCBj3EeTVRtz6kFM1QVgq3MwtkMbA65x0gALeydZ6BE8PvxaLplrIQVFSpS4RhCs4FZzMQeyZka+Fd3j1D3XJOqit7EqUvQ9LAAds4ru1I1N0Y2SjE5dawNlsyvH7sWG6vicBcmBZENGigogGdAhkNIelPznnqXg9/ag00eSWoFh7niyBYrByI80o90GUhsQg82v/HLbFaurc3P9esHTj08IksXJW8Llywt88Pj4i4/49vM33K93uA8PIGJa2nZnsQ/uWyetYByZ+txuc1Jun/zcIdpErzY0G693HmgCmk13uzm264Hp+xzhwD7ZXErpjnXlRs1vUiydxzSddpsUETtUTmtIRvqzCmyNDAt0Zz1L9geOGK0P7NApwNAVJmFCPeQcAoSdETyCBKdVZNyJCKeHhcV8HAdzGjyEaYIiqX4JwMJrJK0ZLlYO4GTsiHiNl8Q2o1amQk4L91ZEA+bzhDhP0F5/2AGC/D9ZsvfK3iBix9iz4oFk81m8hjMYDs5xsBKnnjHVwLOImM4cQhfYaXs0V1H4Y2DiaA+QvQUeaqC5e+4E5IPzMtoHDixfA5t6njzMxVLrDrzr7Vho9916jtJUjImdcq0Tq6WvZ84YBCAGPIlz/pu/+i1evr6Ae23O8NFzX8spYpoj7pd1oDZ6cxKz9rCTtk00BZmfCQkMYDx+eoCPAduNFbgfPj1CRY5SycipIASPNRdBTJiy3MRJ1tpaVjzloPPhtGBNydrBKCXaO4c8tBXQNaa+gc4Lhaqff/+Mq/TUHNfpu7V5xEAs9yjdbL/SYMdpvXRjmnJJGbdnbg/Fiq29H7ebArDBVK9Llp7SUzAWxXh4oXOSBDNJMlK1ElopDHCRszpvJ3RLcXwAQEByVpD1IWB5XLikIGldGxlQ76O3TCbfUxUNhQrvhZq4dZ2Mkgtu1ztC5BZxjhxnP+vBhxz2+OPRkxbdjjvvgPz25/TaLCv7HbX+sRRBv4f3Er2m3u/TrtGRBJr7vc38xtLtBtsUD5rGMq6Kmtru33pt3rHyeIVoVrguNtkZgHsbB0Cyr71VDIHgpJODAg3El42duKesyVK632l1m5oF3pLEAZzdnM+9FUqtwqSTGLpK0NnPfXiQQ6D9h0yBAtX8Q9l+ytAduhcQrI7SkUcjDnKVEcWgIQv1VAkaNfPYWkUIiyWP+vPYxyja8oQTIxGn0yOmadCHkDGF/D2XhNvtBSmtrwLlP/Z4t8HmsvDmpbVPPevHf9+JAukfRhTA1FwxfL47fACA0qlvRwOhDmBQxGwwRr0+SoIVCZ6c9yB09Us+kWajICqVzNUuUv80BpqAINUzN3YFgIq++NWeKN0DEK75oTZIaz1VbKgVLvaP88QqbujGIizcT89rqxRX4WnI7A5jpgGeZn75D/xjdIyIqN/3KyeNzP/sdqAHnqM6naJe7DQ3K95mhHHM7B3oQsSiOY4cSIq7+cs1cO1UOaaXdSel5NKNHBVQa/BtT+8FxNC0JhQ/zxvNxI3o05qsRkOP++WOtCZ477HeVnz5zVekLeFX//RXknW4moS6tt/JW2Zp9ylYHY1zDpUqtF1Jn2avrSUZWrfPau6oJOOiqu/YAdODFP54+z5VuVI3iOv1GTlvMveUgsQIps7xGKf9ORqr76lgQX/9MEfF6dYrul/uUKGL7Z70cvm/4OEaU9JULZA817rUwclW1bw4R8QpomSmm52eHjCdZqzXFZRZWCilglLuCIEVIpRuzQAUA04kwZ/Wa3rvkNYNtXKNoA/eemzqNY2gXqe6aR1zFYEIQvRkdVqtnbqEvBdQjaTMoBVQJHGC/eDs0ZvCP5z9avBqU4dgTSmsGtSpLasHezUGeRqMWnYTr7PYav92z/uPrIPWoGq8Fy/zxBNxndpwLeP9auaJDAzse1acJ3z46YOoZjNVtmZWyVaF4ThHcdQ4g7o8LAw63Ddk77iGXDLP221DWpPUYbHTTs5hWia02kTgpeLr52fcrnfOUKbcQZ3aTPBKAU3nPYL3uzHPpSBJLV8OHg/zjCkEAxfeqnfVc3ryKK3i9nzDb/7qN9i2DY5U2K8wNVN64723g8EbbyCuBSW1C+vpkbZkOgFKgQdgPX4h1PmsivbeM3juHVrivqWs4ipAQAgIE8+JLLWXWWo3yXuOJyUjqdmr+eylrETEfPIAwhN/x5Zl/4wRVBmwTyuDZnFq/L3Ro8Ehb2yrklQvTQtTFJ3TWsyCSpwp9T4A7QDI6qEALob1LgwLYO93HcsydntzbQYQOu9QCp9n7Ef+1sF7zqsIiaPPw8vHOm9jXow2qPVrHhkt+hll4eyGwBGodeYHjxNfgtqgJoqunqMtY/6xa01DzapSqjszRzPCTbORAIKHzQW9f0v8LNzCi4iQUkasFdMcrFUOeTLHUlvI4PAs7OLGUZXg92iv38x08hWB6DBe4kvt215JMErqP0sNMViwJ4YJzfUEDjmPVvPuO/X3DmY6zPOCh4ePiHFGzoMdawwOhDghpw1fv/0WABDjYuDL3/V4t8EmcMgg8Wz8/ub9FqKkE9315tMmiFHHhyfGGQ1ab8goBKwY3gvSVx2hJVFXJKE0tj4JGU2q5sQ0MA1B5zw7UH0x6HUrLTTO0b4bYDW2fv+6QBXJ6YIW+wkO2SCK1PCAOe7eccH9kKV9ZWBrg8oSqcPSWgNV4gyG0hYODp7jN9trRhmjPa3EnATH9Wa+AchSqyTrlsZn5AgosPEmIus/Ol5HNcSMdq83x3Wkemla6K2Hl36FSjey17WNigAHzR2yr4qaibME6fMUIis+jtn3IFlk7l9XcHu5oeSCDz99wDRH/Pbf/xakz0YQaapCF6oVlFmyXYUe2FgdajF50O0n1dFAanAzINwjGqnjdpwL7+TYmYXhuYw1lZbJHALNUrJRaHumeggGwM659hrk7xIKp4AkKkg2/l1pauPG11rjQFDaeNRaQMQOGgDE4LEVboDOrImKuEzIrTHLJ1dBUYEYPWrm69SgkzyhlcmEwtKWgdqkZpqvYVqizenWBLAjshou8lwveHpYQBJknJ5OsoGC631I+916NFlTzvuOtteG2gpi4J6gXiigJReju5XMwfJ8nm3svJQ5mECbZN281DCOVNjgPYK8PgZljviZKRToRxsyAGXtjd8B7M8HDej2Nk8PfXVEnMffx0PtpF6DliME+elFsEMDSkeEPNh9y1qIGIsyHEgcHR+1HcoDXr5cuObWO9yfbzwXvexxMSAJyLHdNzhHOH98wCyBZ96ygWYlaZsAby24ONMwMzVahaRi6Fll2WcRfM+eEsFLyycvmZxS2WFLpdeX1Vyw5ozg+ZlPISCXgkLdxh2d/UAe98sdt5cbas3mXHPGNeNPVWf8r/XgcXaH1yCqq876VOuzVDol+wbqm4hGQeaAv4mgHQA0T4CAuGGaINUiGHtRbvdNBJ68Ue13fTLFXVB2lw/ehIviwnYKg3+kN6HlR6peymynIqJmzNxqrYsNTgszyuIyoWVVpldWhJROkbDJ3ip30LpTLQOiIenR9gGmqs4qe2pH01VgfUcJH/yUBhuTo5140+cd9rRjzWhrnHCo/hD0SoJBe4zqScgTaxC80QOax4nPWYR+q9lUB1iLJ6pAYyED8yFbgAk0lZSRc5aMNKEl9nm7DgdZ2ZGWeWlzAAyAYimwPdErW4nIND1aAxxG261zf89ws+dLZIAMsI8JRvo5Ds9EbYxzoV+DggeNM5gc6HOdeAhR9iCHouV0JaMF8fnkmmOcsK171sY4D7yPOJ+fsCwPdo9Mx63IeUNXz/+Cdb2i1oogoPef2u7pXQebAHYLttcqySLXh38INHeZTDEqiqDuHOrhdxUe0AdoiLf3ItrVERaAs5tEJPQx2cR0c1SnoDZQIKELNcAouE1qGhpcqVIH42BS4vxFTN1Er6kEANKgc5g4mu0bM7Q6ViVzNoI893d0gXu0gQgFReo9HUuGyzn6pswGquYqtLmAtxynY18774hv9WCMd0ZRjDvCgdqkFNbWM6s0LORjG5v+2L05Xvp9NieGgLNvFlIzWhltCxNTREoppsK2C8qJ0DSQEORQgz6ZgghRe+Kx8EmcIsIUhHKk9EOH+TTjwy8+4NMvP+Hnv/4ZpVT8+Ksf8fDhAQC3FsjDGKeVxQ/4mlgFtw33+sqAAlxbUvbZl+PxJjhzeO3dHeYp9KPTT5pk2jio37Y7tu0Opbm8NYbO9RYcGmTqHKmFA8G3xpRf6vUpZUtsU7y33oljhjCK0mj/7Mjy2FN8bROaAqbzjOA914kHwnxekNaMsES4RNjuibOhEiyMfYWJqtHEtHaTSwMmnJ9OnBmTTEmQ7G6pGaUA2v+AnUAGtRxUoIIdPC/gmvbw5IDSm1iMCgVVaeeidGLSGlE5x+i06XMwiv1gQ9i8qc3Cbm2MgaK+rmI+9WDnvhcwvnrG6A7M+JkyzCXLsw+BJsA2VNuiaNaCnZc+fxSJVzVlAFYP5v0QeIoo1dOPT+z0bRnffvfN6jfPywRonZ30h91uKx5/eMLTj09YrytnQ2UPyltiuqW0nykpo2pd3H0TNhDhw4dHnKcJ95Rww12EQsgce6Xxto3FWdaQsMVo46ktO8a5rllNgPfiWe57lWxHa+zke+ew5oSr0ENLKdKEvdm/32uvTQWJRmBt1GMgImy3zfaj5rjNhGYnVcSlbRnbmpDuHGx450QfAfCB68NLaaiicso+C0cIYQpGu7a2SOhrRzUsiBymmc9ZcjZ1XK37NYBKACw9wjzt7GAtFZuUIMQp8ByUrGxtDZP3KETImTOcSuNlYb8huHR9Pb4KPHc/YX4n+xL1lW/Sx7s/G/N7RMRHs6c8fhxgMcMIZu8qkdmJ0oqds9sC6YQggaaX56+t67wLKJXrbDVQayo6qAMIMNjfhC5qdqnfQwwBzTdZfxWogKuQzBy/r5TCzBVX4SePGAJS5kCTA231gZ0lVHivrNbz2L6Qem37Th/DdQVuAFZvqyBDEKq2HhrM2Q3J4B0tNgfVzKzbJ29GQEvjj8F2DH6TzgX2F7ovwHPDMQtqW1F9HP7GglXc3jHCh4ySEzAAaI4c4rTgfP6AEOJOe4PBcP65rjdcLl+RhT4fw4RSM9b1ivYPrU++f1iA5Q6CDztlTT7UOIyB5m6RD05Ha/vAjKgr3DFqzLQl5xycrwC8TSKibkhq5Q2x5oos1A4aHERDF4vwsIOT4I2DxnmZLBjWehuVnScxMKpaSaKCqJnXelByVanuKgtFe0Tq9er115SBwI3T0URSPjJaXFAtuDWahRhC7YWZZcJG62n02pHWcWxEhvAb/WzImnY1LllQ3tn7a2GERjMxu2foaP9d7m2nDhi+wwn7RSkeIDhIvaZmPQPXtG1FagsgiBvxhkTohkjHlRqjayX3Wl7toQlwLyl2sBhJXh5mPHw84/HTA0CM9D/9+ITHTw+IMyO6sUYLQthJbtZagJFBoFaPNqjzvXKcXtFvhg2U+ngpIvzej3YYnyPtqWama2mvwFYrrtevog7XKbTHw3sWYzmes1ZhPzgAcZ/51LpLpYV773F7uYMVEssQXClNlB0PpAztIZhzBaXMvcpyQXQsBtLAgcW0zOzsyXk0YxGngNPTwv0WhdqmiHxO3H9RaZXLeeHsROhUpDAFzKcJ56cHeMnottYQpMcjVnDP36q11Iz4k2dVQtf63HPBIU5B6ss4S6Y0Pq77FFu3NXNM1G6T27c1OQIvmhGEfYxpXkqjdUOpgL73e4CMnuWtgPL4nrfeNyrQ8jXu/6bfrddbZf/R83ihwLcmJRqD867nI6+AWhObWW2u8Tk8locFH3/1iWmutZp90T1nflyA6x1F+mY6x7XjIXpsdy4RMABMMqC6B2kgeQz6vXNMDXaElnV98Jy+fr0irRuWx5Mp12o7GADWb9VH7k0wijApQ4ZAXKvrHC5YJUvMz2S9rri/3Gwe8Vousr4Lxt527+nQLHktCtju9+lNWE6stK+CUL0eT0HbdGcArNbIgWZwnK2eopS28Pmc4+BvPk2swu/JAsxRbNF6YkufS+8d4GFBlvfiJ7UG59W/gAWaU+u1e9znE9b3F5C1UQeClfhnITKzK+eMvBWECQCi2BEP4sJGAXzeYKIMgZ2Tf3ehMLXpMoaDIpjFTZKx08BZTmSfbZwi7JoLwkzSk1hJQWk9o9s4OOTY6ZhsYc0TTlIUVKqA1ldCS5VgtbKtdZ/W/EXTQkEH/534TZ7Fn9B4/ddaungQ34yViLXWkO+JOyQAoDb49RJwKvBfRM/kKFTZGk8yIsB7jtN1TrNfWhFiFLvBc8h56n+vBb0NF3VfoL0G4zXoP4o16TMhwr6cRoDp/fU2Ef0swlDS7LgEouAAUw/vg5U5tdYQfOQ10lTIKeB8fsI8n7nNWmtG5a5ix1LasK43rOvVAk3nnIC/0qP7H2o2v3+oeh2hI1y7jKa98a2Ap8vwj0hIK/UVXXCHVg2vsYPCzXDVsFQUyYRFE7p4hZEIuqpIkwvdWtXC2c6xVyfAzoJ+L0/GfjHGW6d9YOGIG/K2CqRt60aj9qxcmHsfOq0Dzblg8k6KtpuNh55fb4fAhtCTl3YIZH/LpRil9j91qENn59R6gsaqq9ZHspH1CLSA+Q0Hb6yBsO8YaJFHpNEyv8P1kAS/HkAlzUSxNWEqbOpBP5EUhPd2J3qex0+PuD5fTYihFEaLl/PCtW0azItq38uXi2yUDkDDD3/2A1priPPEnxeqbBBV2m4Me0afHGd2RkXc3fgc0Njdfcs8K4fPHekz7+2w+zMUl0zqXGtjWLiJDXPKG+73i6GU3ws2HfXM5thuQGsf2yAWpdfBG14ThUCeT9wCZwAVSGoUI/ewq6Vivd7RiINJNfwhRoQYkbY0SM47hJlrkTRbofetAR7ACtsnWfvrbUPeFLxhJDjnAlebbdROMlbzmbOaHYWGOSTOE2pjYMxBENtSO/W/MFMCc7dRALCcF8QlMovCu8H5EfXaQeCNiBCcQwwB3mlATkY97eDhnh0x2mkN8o7iPOPxVtD4VsD5VpAK4NW+sHNo0G2VXstoJ3W963XUcf/T4QZ252vqHAJWe+7naACoDx7npzM+/OIjyDl8nQK+/f7Z2lm0yqrAytD5+vM3xDni8YdHBi6EpbE8LFhvK55/9w25VFRRx1UHMCem22rgFwTQ0GCmlIogrXOUZr7EiMeFA85UCu6p7wssArMHEh0RcmWxpHtKmELA07Kgtmb0221NyJK96+uc13IVutl7PLpv0WxyqG1SMMl7h+wdSNZ3b78BAw/SuuH5W8CnH+6YpglEGRQL4FZjacUlIMYJYapwoYCo7oOzwfzo67Vq0CT7+yv3aaCgcmQHAMipf8bHbMFdkTZuOTMgESJrZxAIdRYQhwiRKjIxa8K5C+awYA4TEKRV3SCS6IKMYYUEe2ofGCwDgPv2yHWiw/VrplTnttosC95ahRtECw0MH3QjLBki92BMi0BwzaO2zFegA6pmq8Fssdk/R6gi6tTNW7+HV0drLLRV+1sJh38PAanqh1QpM/LNoUUHNFVpb7Z/EmmGcQ8MOu8QiVAc95mmpmw/YRmOwp6D32zCloO/qud2wYuoIyzpYi38NPgbAk22D21YB/sgVPUs+Dz70jZ9P2dTu4BSLdn80DF7udd/IFmPAa2pZkGQ6/SY44zHpx/EBw32mNF66VjaVtzXC1LiDTxI328NNDsA/g+Zzf+so5mB2i+SPaIzIk20r5f6A/VoFoyJMqGTQJOImIImASU7691ZG9EIDW4NPRkvc1hUznfkxhAWcZi8d71GcpjsuvnrqZwjZM165YImdDdemF5kwMVAObJFS8TKugCjSzFEBOm7ppk0RZ71s/o573tz4n4tzQwxwFz5t8ZWa5DU2deAs4ha5pjhJJGZ3p9DUSzavTYezkkWdahVfOUEKpI/1mpRD1o1s+o8B3/a81LfqxunzgMnKN3jp0dsC4tmjBnI1qLUNxW0wPe/3lZ8/vVnOO/w+PEBp6czSmbn7Pn3z6i1Wi2noqS6AZkimzj1XBtSd2tgzHTzg/6Ow+s6kq0I3/ec5r/vh6K/b/+tAw2cEWKDf79fhEJbDbzYjzP/VNXHEV3W7HcpFX6wD4AESjHszlFywXZPTIeVTEPJGdsdCK1hmidMpxlRhFccARCV0LQlLA8zSibAcZY1SG9K+x6lae2AC/7Fh8DsBu/gz7Oci6nkSbKsTItigM0HRcwbfCBzdJR6l9aNwa+c4YhBl9YavDbtzhXzae5CJLVB+QxKL3OO65unZTLHOURuv+Cck156XJPZGhAGZ8QCx8EWWQ9OMNVKKarU9o7F8XC076H5OviEUev1728J1owHZ+e6XRzPP4rjjLWmuk+Uwk51ddzX11SOB9Vfu5fGoW7OBUHep702p5nVZ+fTjJq/4rbdEIKHD7Od43654365cx0xEX74s0+YzzOuzzdstw2nRw4wc8qYz7P1flaBoOvzDalklMrO/jJPnCUNHtuaAFEV1me7xMhUx8bB/+V276Cqc5YZ1qzveLTWcNs21NbwMM/4cDoBAD5rn9fYRXHea53m7hj8oF1G87aZomtrXCeptGvVRABgImNEhP/wN/8cf/PbDqY5ob4vDwsrpYtIlKq1H0EB3WPRmgVhphYrtbuWScMAsFRhesm5Sy47jQsFSEopLOgmlOsidkhVq7Ool5ZcUFJG2jJOjyeE6HH+8IDHHx7FJnsrZ+LzK7DfpH51GFOpFdT76JnbzjoLkenER79V71MzoQMeYPv9WIfNjI/uT3rv4EhLFgqaMOp0jEcTZX6D7VWjryy+g997bU3qHtvwvHb2UbABe2n8U+XAVynMXsaDvAdRASBlS9T7Sw4XazXcJWUuZZK+rk6SThjG/nhoIkATC70tjmMAxFSWZbcZfB5CB+r2bvvwL/F9tWTh7UCzr7nWqsUM/LqzeEF9DA00c964VdkQBE9xhvMBj48/GAWX38+ZzNYact5wvX6zkgDnvLDWgDT0BXfO/xexe+862NTMDme7OuILdPQOOAScGmj67gASwepWduiRvt8rZXU/YbxQDNUpqNqIlQhegkLXtFnu24fSYJ33r4RE+H4OVJcBdFJDoc5qa80QliBGS9HfIO0IyLFKlyJpLngL7toQ6OmhNM8sY+wGatqrRQUyxUDOfnCArkE6SB0pFnlQhwrAqyxCrkPWUJ6LUVQdwakCmnjGYybz+PzU0AIi+JP7+Nn73ZDRFOqiOmoO1ag3umnWWjG5aK1WVLqcf8q5AywD2oR6qJuNZie5jxjXS0CCVK6x056K/P7rtwuj8N5hva6SSeBsKGUHR71ul8dDjJdzQBmoGseg0dFQ03Vwlh3XykA2NWpkio3v6XgVRBNB1Xx1TelzAoCSE7bthpQ2dmDKa7qdUmic87JJdtvEmYGKQmWnTG3AjagN8/p0uF9vIguvQIBI3jfOMGx1xXyeuVnzfRtvjDfe1ljlWupVtE+dE3qqLkquvfaISvu1661GnT09nLgH7G1FLje0CvjIWS0Xes+62io8OmOk5Grod631lR3JqYjjz0JYcQoIYcJyXgR0KqZYSqQtTnhsy3U1BoZzDtEHA7BG8R4FCI+4YmvcTsPsDWmgus+UHY96WE/6npES+woBRy8ZOL5nVLVtQ0AJDLWnQjHNpVq/zb0d6w6kUfJkb4PMZRVVc85xVqA2FudQ0M4zrdXHgNPTCV9+/QUJidVmxRBOpxmXb1cLHldpRVEk4+VjwOOnR96Loud+mzL/tOXOt5+/YQ4RpVacpwn5vBijgojLDYAZp2XGEpntUUvDPSVcv13Y1qq2wTAOuwyxBO4OnDF9ud2RSsGH0wnzacbysEABxl0g/p11/d4OZYdt141bJUkfSgUqfAwm5kOeLDgjApbHE7S/ay0Np8cF548PWB4Wq8ccAy09jgI5yr5Rvwy5gEhqriWoI+8sA8+aCb4HRNTVltUJqKVysFUYvHKPJ+kBmrDdeV9Fyva9CN5EElVvA+Da0RHIrijiJ/bMWG0sWsb32HYK4KbwTmRB6eiP1gFk88FZSYLRYdHtsI2fG9q4vdq6CGS1jg4IrdczKlAvfhw5oBbivuLAENSLP6XPZwCkR7vSoAFnL+fowdRQMmL7kNjaKYhOQPeDdJ+qFRKgV/OTBseO6ddEwJbk2TCNVOdr1T6wg+APEaHkzEJ4BMlOc5DF879TaM2eyyQ/+k02D7TFS+s2VgPw7x3juPQSGQV8i1CB+/zoewdTbvV9jQgPj5/Efof9eUtBShtut2ds29q1CeRnKUDOq9xTb5XjnN9Rd/8ux7sNNseNJasK54CAjYXcjIDtHySAV1RL4HVgqgsJkP5dqjI7ODFESm3tGThumswPz0UPFKbtBKlZ4B5l3DZFRXl2gYD5/v27+4WJY0JglbAGWHsPtbmVKZRuCmiS7dRi88lFyTRIoAo2PhpkhtAL5MmROW+KstfaabwjMlZrBQ7S6bsedXrBGJw32tce6Xn0zyFqPVdFBVNM2ND2TYwzlntlsKMVJue49gJ94Y0bwTG4f50h788CDtw43DmESeroSA36kN1K7ABrU/I2UHd3LVREAt5HJxs0X8d62zijJUZMNzfNhtLUHWSTW9ceXQM6pvd4vOfj/dprRmPp9997c70/atlbmasxMGytSb0z/9cptBnaG+x7h1L0daNXp7/WCiSghLLbzM3ZGJo2375xtsiFXrMIQBD9CoqSeXB93pfS4D07kmnLmObJAk0FlQBIzWUUkTLO3JbKTplmcyGbuHOSQZBeddMcLWD1QWuPFUBSB4YFfUqpnDUZEHgQoDL53nMgMU0RIguLeZnw8OkB98vdgqB5mXa9fPs8lmcp389A4J7h0JFqtxMGAmClGJoVG23SfyobOa6lo71z1FCGgGcHhGH/nLl2c5/JLI0RdU9dEEX7d+r3OedYQfJ4T45AlQPQ4aScUajiLOu+2Mou0ANYqfj0eEJJBZevL7h8vTKlTQSblocFly8vIOL6yVu+CRjojOnCIk8THpzjWtBcrGXZz3/9M04fzqi54PzjhB8fHzkDucxorSFKu5NT7CrnqRT8/LsvBk4o4BKmXg5yzDCP49Eqt0y5rEwXnc+zCFkpEFiQpQ77vbY+Abo9JyJh3GSjEZLsWX4ABqoAPjkVe/6tNVMd/vjLD3j84ZEDOz+KcnVgH+h+myoUl1K6YKLWJse927rbmwRIBTQT13/XuV+kN/g0R5Sh1U+I7M+44EzsL2+Za34lKCVHBrDHJfY6uRrgZsn0lorm9sGzlQKI78GA85jt7HbKh9et45iJIGtcAs3R7OxqPaUkiAViDnsPDXaOCAQHChxU1Fx3YlA6Lt4HqdfrY6uGmttoDc9Azj+WajX9P2HDjEkJvYdxvgUpHSmlIMbIgS8U2Oda393+W4brFt+6BQ8vfytUhhIRZSwy4Ktj3hokMO7Xe6yh1THR52l2eqgrhj2bg8/kMNRs7jsfaFa0z+e9uJBznf6nlNodYAZIdnMCOY95PuN0ejBVXoAB8IaK+/2C2+0FJSfee80vZvtZymrfw89QwNs443bd18L+sce7DTa76mvnPbeBVqgB0VuO5Ku+msSB2IgQjxPl6GyYJD7I6mm23I2AGVR5X4gB29rRFq0V9eL8qZiFTRyjBx16U473D2FGkfxnKpHDZFcxIfTaLKXFEHGAw//uTa6dd6YQN2aHdbMvrVqmV+sXMKggppKh0847ETwanLC36px6TRTXjebCQgFGSSjVNi8N5hp15M/Qrx2QMFBh9ZmLdLfRU9p+AxyNxFsZbljRQ0dneXAaqBzmj9WgVTsvb6RkAaFuihrQaJ9Mq/OQHUfpRJq94Sxbgg9u52QpGsn0IaFn1r1hk4cAHGqA/3OOEa18T8d/6p5aE6GDXFBKQkor1vVmxfzfLawnyZKJw1MB21h0w95tatTbTADiHLeG2+WOtG6Y3czy84LC1sJ1Lq0BeZUsjDIFBNSpkqkIC2/qtVVEbcpOvDHXxhkAJ9lAVKaTrZcbX4dnMCxvCfer2BipPdYsLRFhPs3cW3MKFky2WrCtCettRfDs7HlV563cfikKrYqcqv06eS+kfurMKstC//ejHfVul52K3lud5pitZB+wI/K6jpusMbVlRISjGFAZgKzjXnCcO5q1tPrNg9N4fD8rcw9iRZVtWx3eq9dFRCbApvPFfsdrgEyZP7oPmXPkuaWU9nP2kfei1ph23UrFNEegNhYqAzvDn3/9BSUXPHx8QEkZIXicns4mOhRiwHbbLLMQAaZSSu9oIlY8rwLY/vY//Iy/+Bf/CL/86RPmGBGcw3Q6mSCT0ps1qL6sK/7mN79DuvfMk+31nvaALHR/Busbyz5TrUaQg9SSWfp/WriNTm3cZN16Nr/DQ/cnB67FHqmz+ncfg6i8CngltdLTMu1oq0o1nc+ztU2z0g1x3He+1OEZvRIBPM5VOfZsnP5Z8wfGax+y3X44NxHBhWZ6B2i8TzKFtuyAvPnETBHuL+us1RmEVjreB1GvL98HIU0CyyE5J/RNzsB1qrvuA2qPnMMQqXE50hsPsvthhrP3oNZ5YvHJ1kDkgTAmASpQeD9Q4BEYMntv1G2qn82iNA6k19v2NfA8rtl0SUZ/KMQAEEw4k8uHeFxqyeLvOCA3ru1XkLs00JAND1Mwv8jqzyftHSvWnPvP2fir+q4pcMsaKFmepwhj2roXYOOtxMOYOTVfEZ1WrHsO0Ds0KFVV368aKfy51/Ne6bQafNZaME8nnM9PaI2TQrU27qNJhO1+x/X6LOM8GwDpfUCtBdt2l6cswbj5gL7f2J9wvNNgk/D09COsz+AhONgFZgeDNf7NgtEDr+qtANVQtxHRoh4MBueQB+79Ti4bQFiCBU8aaKoBU9qpBpVjFvFYf3JECDVQ6Pe+N4TjQmmt9QCUAOQCOC+Uy45AOkWGHEELjZ1nmWoqxehbRKwOqMPcWkNw3sZIBZSsJYAQ+vcBHB/qmPVrhdVQao2mAFu2mSAXNDF0atTGex2z2WrEyebBQOfRQFCoHd+bA91pFdTSydjAQ1waM9SuCt02F27SrPdZqgkPKQobZ67dhGOKkFsmaEZe62CW82wbo86vWpg6G6XHZnHZ1NX+/+z9SZMsSZImiH0sIqpm7m+JiIxcqiq7qnoGDXTPgIADrvj/J1xAGKKhGRoqdPdUV1Yusb33fDFTlQUHXoRFTP1F5HKo9IEEvXB3M11EREVZ+OPl4wEoBzJDzGELJOx2EuYsGtrgGRWw/lqbbSo67zRutSUX5FyQ9w15v2LbnqHEBsoop82/cxRGL9y8rny5JjY0dBbnEIF83XF5uJhhheVKFSWoh+fyO9pzpzsrYy8RAjBLtNbT0zXSNMySGtpe2WuUlCysYgmsMG2XDaU0K9oOUZL03Q+RjR+ne75fExBiVvLWJKQ4COAAfyeypu5ShD0Im2jjqI/T/Unq3/VIlNZgY1QW1BCDAMWepxlDQIoBSZ6DRTU0JgvSue4Klzxv2VfMzj/tHb5Iuj1r+T5SJ/Zh27HsCU6Z88oahYYixzfqxjcNx1VZq/K0oCLJWDthUENN0fYkIkiIfBv6p54CZdH2Q4gLy9W9cBjsCtjeeLo/YTmt+PY33wDg51L2wjUSg7K5FgQtoeXyAp8+PmFz4d27hKPXXPDP/8s/4xf/zy+t34/Xq3kza2vY846HyxVP2xUf/vCRGcEJAG7ftxlsarky/f3GQx0I+3VjD8uaON1FGCJL2ZHzhtfaKHDe9/XpamtAa0nrOtYQ0pgi1nNPGSl7Zm/1l2/w5v09E9rFMDxzOIBh93Tzz+8roZbx8xDJPGn+HPVC+f3cvHcBALrHTkMcQyR3TM/lYw+2rBl5F3PO2J431NIjTQaDk+ggcUlWdkXnUY/VuaqVjH2Zx4BBP9H+qJy2SCIfctvYSTADAJX3BspnQ7Edz3JV55h1105cU1u1MikhBHMmtAoxoI6JX8wULMSKGpXi5absQZZL7p59k2iHZWUwl6/ZyPdMj62cqhQkpJfL2BCAguqcAmWvFjVIkcGo7VV74VzY4NdUT1sCmIekgqxPpNZAXWeafkRcTd50AtemP90ksR6leqo/ju8fUCuT9HTW2WT6f2s9dJ/3qjjuO61hPZ2hBF4hRdtDHh8/4OHxB7TWsC4nqUyh70qP0vDpBjHwvulLPv057ZWCzYZAccjZpNmyhL6AiMgxlDpri4IgXYxhVAb0XMARSyg4lM1RX/YlJdR9Z4u0r2vW2MO6rEt/yKIkgmALTZuB0xhF4WqWyzgLa1vNrQs7735nqy+sH7yA+QVFYIVRwzoHhjqgk/3ILZV4QQGn9rE1LndCkq+pYWdqVdZ+sKEugFCRLQSjK4+soPHvmyvWTdTDwAgE0lxYBZKxGvmI34T8WPzG1dzcEQGNYJsYgDF3R/4eSshYv3ReGXQGKX8TiPMDKAChBYQ1INTq8orFaLH2WkjLmmxjz5nDlTTHDmAlsAqBgXoyWUllDxMFIbm4itCKjWmxXRu8knPSmh0jP+vkjhnG/foA55FxSs0jOtcc6lywZ6YQ5zIJY72t2+uGYT1p+NVg7S89DDeaIq3vTcTzp2fsl80UpyjezrwXLMS5dbqZrkuSPOBuCY8xspK4Fyx3CROmslzQsnNI2eWJ64Yu64K7d/e4PDxjPS3Yc2GFohRAauTFlCTnSGrXSa6nWWZbkVqiCetasW0ZuHJ5FiUISqTejwAKlUP2U2QwtZAReYCKheyWXFCVnKgEy9UEYGkOrTUsKZksUrmt7Sg0Nrpn9bl17oHmbPzT34djNBWCWJE7svsEAuf6q6HuAMjqvlSLpj6QAapSmbHVGwBLZcOWHxMrOT4Vog3X1lI5pGGFpuxziRMNPVS5nreM07sTh2FKxM56ErCcixAJXXF+w+RCVfJ9NUz7X/63f8Hbr97if/y//QesKeLTha3v8d07xFZRKs/lb//z77Bfd3z5qy/dPM9zeAtuOM/cPdPWI4VSSlhOKy4Pzww+iJDzhlIyct5fbc6mPu+87by3iW5ke2hlg1Mt1YwJWgqnNcL9F2/w7mfvLGR2zpecgeZsqFGgqb/b5woSQhveRb1mJCnXEvidalX4NJyuFmIAlv4+Go+BXCNJCDeF7r2qRWoOC+leKYXJYoRkS3NYa22IfMqQsjDrGTwWZ7w8mIeZ9GgwirvjtX/z+WaMVj13WvshNDNCzvcPkRBJiSA7uZGmNdQM9lYWLlEFActqnLf14tI/atVQWumrCTkGvSkxOKq5DOlYNtex5w/2ZSTpGaFI5QEO9+e1m4dnoKWfgqZ0hO4YqEUqGFgpHkLBaCwQ9d/CrEPtPCGz7mdGeZWn+n31+wLMK6tzb7W43bNqtYBiQgxJoir6fuEJhFprSOuKdb0Tg5vghCXh8dNHfPz4Lf+dFjsvJcYcu9QC5z2SUy40VzTnv1yqwCsFm9zUs6lNFWoDc/JgPTjpL1zoLnU5Vx/ybGmbP5ubgqY19en2i4xiZOARaVxI6Mr7XBBclaPSxhpvxkiIntNj/VNrk9uEg+Q/weUPKLZtmu/g+qSECj6sl6hT7wcQlhjtHAWcHjArMKXpX2vNCIT0OD8mEIfpxhCw7d3CM2xIqc9FlYHSMil8JiT6s2BwRso8zSYCB6yNsEC+t8+Ik9JtnTkBSzHI5tOsPArAVrlWK0LsQJaEiCOG7pFR5S7vGSEFDqONgXPszqycWV6SAMD9ulnYoI3NMQWGGCyZXCYQRG6NTG0UpLIaZB64zlonqJqPf5XNbQY6D6yUFez7FTlvuFwfbU39GIubT+BHoMEqPty2jEXJVaH59P0DWylb4DzMBcNxvJFymBSJUev58YK0JKRVShdB2fpE+SpAiOL9IgIasF12XJ4u2K87iIC0cLjZenfCcl6xfXgEwIaR093KYWZrYrKOxu8lh/1XFKHSv152IfPg++YtY8uFGWsrl/y5e3s2ZTbGiHRakFJAWlcAF1AIls8O8BoucKQayxgqqhEi2oZ1K8+hguBSq2+UPfNqTgoycOzRHJ7jBDR/Spvl+Bw903OoCWQGjh5VUxuwCCu6RcQo+IYz3CmgiIHBenXRPRi962qEWE5c6zmlZPmYH7/5wPmbIr/2647ltCBvGet5Nc/O5fGC50/VcvCaeKrXk2Phbg3/9P/+JwDAf/gf/j3enc+mtD5dd3z/6QHf/eY7PH54wPn+zAp2kAiVKXrI7ytHwBNQT5AaIyLu3zEz7XbZcDrdc6h5ych5e7WyLoTADK352FBWModLnu5PIzvqkvDlF2/YC+zypgedRcn8lDtA1p2XeexZxM1nQajr9VPvNdS/FdeyTkfDPb2uoHuWhfr7MFUZj/ariIH35nmrrpiUkE3vy66rxmiuH+/mQkONMckQf//iQ+I1/7TWgWSGBAApaDbdp1bkPRtLsEZAAc5Y7MYTnd7kAW+cQGO/h3r8xnxDvne75SogstxKfxwAxFWIePaCfe81NbWvlHSNdN4QYhs+ywwtkSUkQvYchbwQaoSrytZeQYiyfysRTjeoxDWhXJmV1kp/SVOvpq3NIA4F1SFfwgEHxEAKMHk8YzguX+uFHEnbtMZrpLQyEZ+u6cqRbo8PPwCtIi2noX9EAft+MfBJYk0IIaGU3SKy7Jw/U969brBJJEyRTI+v3k1+qNNLLmxqvlzHaIm4DXPTB+Q3M1/6JFdXgw0kIVsdTJXG1paUCEAainJ7wVd51x82SA1JmBe330jVcnvjrVC0KdOgHkpvLfRgeCC1EGUnSM6MfhYcIE3yXakVrfbyL550QxPGhzHOz24+pzVEBCACSxpDWm1TUUZa2Uw8QNTxcF6Ehghqgrsqmgoa0b2cEstPBPMUGShtXZltrfUCy+ptlY0nai1OCeuoRXPqei6ohnfEFJB3jcdnb0BKCVvbrPyAsn+q98DCxQEBo6vNWauwvMEjK6vNN8Yx+Z9z03v5zfu1Kl+6TgAIOBeLpciHkiVfM+/Ytwuu16e+CUzv6GwF1U0yhHC4IVk4qnkXuqE6bxkPHx54jSyLAYObmoIhmlEsLlHKDQQOOYps6QWAfc9McrZnYBcKemKCkMujsoWO+Rtf/OIL5D3j+hhRQ0A6rXaMAkmK/R0OFBhk7gXbdbOcQD3++nTFesf9XNaFPfWRK8tpHo5u7DXzc7k+XzlkWKMvptJHMUrZkwkg8vOA5W7qM4nWV+o1KkUWlQOZewNmcOtlGAyUDjwOfcGobGjTAvB6Cf9uxmltlVbRYkQu5WaspVYnG8f3ttk9yBQqLmifEABT1lpr8rxWCbFsON2taCfObzNWw1yxXzdQ6DU41XCmBrqyZ/HKZOS9g960LlzipHE5qLQk/Jf/6b/g4fsHfPHzL7CcF+yXHZ+++4SHDw84nVfcf/GGjX6lMXFLqVAh7fVqzw0QANtf9N6E/sxT5FJAcUm4Xp+A1nC+e4uPH79B3l9vCG0pzIJt+f17NlbfIqz1i6RyUCCOYogR691qhs5bbw837w1SEKSf+2MGZn/1VLbb0NFZJ/Ofz/mgfF39u3uh+CeDy6Tj1JQm8cxeL5x7ru8Plw4beSvmcfj3dB7boO+0Trzj63B7hl7VD2olVIkc0Fv5etpTZ6Dhq0wE1pA3rT0bOuFTdPcAoOmY+pyMVVcZdJvwZcQIr1yRGCdjEk4N6SSXQ3HEZonPk+hmBArY98wGrtZMfyKQ9L/nYqqTQPdAYCKZlNQANSB4JxLAc3F93izSJgR0BmCR94vIgRZgmMCH6vY99jZNz6a+TkzDAUPZE11bOauRo9yuHRdB5vcGDZ9lcrkCZa1dlzMTd92dOJqvVFwkEmRZz6a3BAoIkQElvz8RkIKwHOm0yxhdWHUdDSN/SnvVYFPzqABG8ar48cPFYGXxv485jfI9HQu2XpqDRvDUusXHb/qDVVo8h6e0oiJZyrUlVqOTAfX+uEXnwK3ejIhuzhlAqigVDT0URRWrGWDYS2wAlkGp9w4MShW0z80sjARCCr3YcdVQCiLTrY8EtHkAIADT9b819pjuYWZUhXij+zPzffTPzxjiJGym1YqSXwZL+vyH+7mcpxuwJSQ789wEWSd9IylorZdLAVgYB8lnq5UV/Fo4jOcquU1lz7h/d4ftqqVTmuVS1lK78hYCgMqKuQhgzPM9jHPMd3kJnOo7ZM/qM5Tef+3taH3ad4WV8pwzh9BuF+z7Zh7NmRxoPj+lhfNw1zCEL/tnYIYT6lEYAHB9ZBbaKPlQSiamBpXWquWrqOIYBGwyQzfn5Gl0Q77swJlDxSx8NmfkvUoNMq6rWSXse71j73oIkZXPWnG+Xy1MScOi+B3hEOG87yi5Ynu+8tqUPsfIQOH8ln8/vzmx1/SUhB21AQQjF2ngNadGmZSYpVLzdIbyRG7uWZlhI6Aqyyr/tM0pCTfhs07GH7HRziRAPnfSX7MevGf6GvnPjExoaho14mtqogKFOvO5Gstsn3D58pqKkXNhjzrI6qwNoWJNyTKCeUpCClaayZTv1MwjFELAww8P+PTdJyxnKZVT26BAs0eTgebjh0cBLcxme/f+HtfLhnplb8T1+Yo//PMf8PTpyUJsvZL+7mfvsJz4PrpemnsulpfVRmOsvmvzGtDGxqRihc9TWphco+ZjBf8VNM0nHMIgBXzGFBAXDqUOMTDp192K5bRY6Qjey251U64DjA4C5R5+TQCA1sLlczwIOjby2N8OkMzeUg9eFXRSDGiiH0aJZLM1IiDN14oMKSC0sS8+PYsNxdHGU0vt4Ngbj2aiQZefeaNjHKyxeTp03Aa+NNpInReF2W/LVpF3DossGUjLipAY0PEF0EGmN6YH80rwGEPspfpEl6NApmNMCgV7P8F6aahAFd0EhF7LWdh/taYz1YAqJeVIjO+7KzOjwHeU7xCwG5F3ZoIvtQq52Sg/dwmzpYU9gT6KUcFksdxeJtrRO1nZlwnkG64g/zeDZ4oBpPthA2D6YBReB2V7v40mYGPpAi6d2I1yCLEbRoNyKGTQhfdeigF73rCe7rBdn1HUUyn35PdASJOEdbaUMvC8aF3Pv0R7tWCzoRpDpwHJyp4nA5PTix4XVpo8qYXJCQ9MJwWGCYAirjkbmFRwNSsxySknRFJnMgRAyFUiMVFEdaGNqlD0sKiuhByxH2oJFrXGewa3ACcYFWwCPVRWWSrBYQqqNOk5uRQOg5O+A7yI/CsS5P618Tw0AAEckhEaU+WYfJPrGsMuemjL0dg4Ob1bhjRfkq38ARUN9YVNBsAQbmKKZuTapyBCKMRWzdgZ4HRjhKwHX75k9qa21r2a3ZoauHB6awNzLhBkY5LkbFG4AVieS6tMDpKWhOW8ohQOL6QQjEhDAYhuXGjNvBDaU904FZiqZ84/A7/R3VjriIbzVcGs7MbppU8OlOLX1Dr4FkVU2Fxr5ST76/UJtQrBSeUyIJ1J7hZ4xpBwvWwWStip5UfjlnoW5AsAwPPjlb14EkVAxGuRqfkVbLChTd8b3pwC2MhRgdpBSa0V+bIzQA0Red9xfd7YuLMo2ZCE7Egdyyw1ee/enM3Aof1NMaKK/NH1uF92C8WNISIsnDep5DFxXTlXc1mxnNfBc6AGjaCyGTQ8Dy2DFJeItvFa7J40MQrGiHVJmMlzbJ6doqBPK4bb0NX5OR4slB8/9uBdCQSUyWgJMBnQrXIlfZ7+Tq0Zi61nymUZ2feeIHn0PEYBlpEt9gCAFcZCrPtoRA/RXs6L5cNrjUwAOOFk5S+qlLShQJbnl5aE54dnBiinFXGpeH54BhGQ3pyFcGbF6f5k5Rj4XeO83Lu3d3j6+IQGCduWKA6gR8jMES083c6rOc2jB+2+5qq2LO/2vl3tnW7tL6OE/VtrrUHKazSJgIAYpfo7oJ6h85uz1PB1eZnOIAa3J/B8tuE4X89c2/B3GI1uc5tBJSvh/Rb+8yb3G4ytkr7SWkPdfaQUf+/3dWakDcaX0JoybfOoQmIvfvXhsdPPXnrPjVX1kDR64VQm3xg4WwfUPRLPjTGQvZeqM7XKTMqmDxOh1IKyiRxO0/uAg7BQxZwBoMbEMq2xjFD9TR0ZTXSdOQRXIwookMmL/bpLreQuy0NkL2xrFb2+o17XdUnH6O38VXSuxH3T5zF7OTkcnME0sYvVojsokunkwT0rmyMx4pM4DorpWt2RFcE57C3g5h14SU06ioYKFEUn7kYKBalZiPHW9cykTVX1VzUUsqyKaUHdq6yp7IiGxvevHQDLm3XwJ7ZXCzYBWP0nakpy00GVb7aRLmPuT18gt9fWBGMtbaLgiAXPywq3Z15VBkRmRnSLCw1wLKr82e01ZuuXlXhxC9tbbwFY+KuCTMABTfS8VFZ6RsCbS+kKX+xKpN+ka+NaZBAlRu/BceF9A7KwW7cZ+dqkGoJsZVFUaDpvaHK5adrPAPFa1iAstWNB79mC6D8P4JqcKRB80n0vUjx6NviekHTXHg7prVMzlbt/HppvmdbFqOLNyi7gouk6jM2UMN2gLo8XnO7WYR0QcWFtbdx/2RByGYVeQAfUEyGBf+66IKiN8z/XoJrJk15Ts+fiS9pAoif2jH2/Yt83bJJsz+BzJBDhkNkiAp8Lk4eYjDxFc0669V0AUopC/OJyRVrD9fnaDRu5oAU2viwUEBMh72wZjhGD4SudEvZtl1w6ZoZl5uKGkAg5Z/FuNqRlEQbOZkpOTAnpJHmVMQJRlPtAKHsBSgFlJlmIib0f+56FrZYVlGVdQInTCnIpDEBDwJrYk6nyRT0s+5aFsMzJycRKb8m97q6GD2mJjbt0NqWQiR8KdiIjB1LFgJ/P7dodcuUFhNTpO3+ul2Wzkjhft7lrAX5v6pu7Zx4/AppA97DqddXjSWAZakRyztjBqRPidfWAtImirYpZ7PKxlmqlGoJYwnt9LR77elrQVlYr9N14/vSEhx8eDZSyoskeIDUM+HyyEAPa1nD39s6eaUgBq+R9vvvZO/M8tNZwenOWaRMlUgFymIHObRuVunFOAySXrVRcr0+4XB7tX6CAitcJNjnXq0qZIQGEYAAK4lDT5SzezNMCrR/Zo8N6WomxriqocvfxBGkvle7wHvr5GYbBq+jAljvOv3+zvqSASEmQFFyzh6e/cxZuOoANTgng6/frqWEETRwZ7l52/9ABjRnKY2d+7v2c9mB0fUKNbSACORIOldG+PFaUdzXnHrrs2cZLzWh7RFwCOHKN7180GipD6oKy17KIXg0Bud5op2lZMQZAPIJzqLGNvTbeE3JGrUDJGSJm4bfOpmRnMTpnQSf84T3CORFI1g5FVEg6h+qRsod34Mn5mwAsVcFqAQc1rMu+E25luj4j+6PxeD35D4AhtcqvzVHXwnGjHvXm11EMCS2KowPkQCk//54LX5HiIg6HPJAWEbF3VXUSUGDySOqGllmH/VPb6wabzrvjhYK3XKmAAWAhZ71GDh9zVI9TN0UNo2Kqen7oeylGra/3G34ebIA3glTMSEVekBkcqZeCCSJ4ZFy3kpta7jvVfS+h4kGmB8aRemgrSY4pakURRcVeZMBKlrRpDEH6pp7VGALWGNnLKX335EA2Xve3DxlTgOm9wUHmRS3Qmvuq4XGBOBSvyLy0wkp3B3KSgzBbvlXJI+IcXwkzVMIRq5FKB8KzVavL6TcYbwAg4th9nV8AQJGQnkXzmbo3tCrokLW0rM3Cf/fLbt8totyBOAm/SE7ti+UdA1lN0d7fZiHI+my61bC5kBFDmzfXfa2153QjIILLN+Lnm7c81Nfc94vInYkgYbiWbmCci6vGAVYEnDIhG5mWQFJlj4jLR5Sc++ZHvKa1MHneu8cpBIAiW1kpS4gNBSkRJEQSEk5W9oLtsvF7JiywvNn40KqKJgXcsfZQKALh9OYknsmxflxKESUE7ADW04KwRMu3LKUYGI4p2BJjVtNkVmeV4ZQ0x7N7Cqrm5stGn3NGmgjZQlLvMQOwXMaSNC89e7V2H33nfwLsBc2lmnz2sswT1PhIFaDneR41JQHyRkFtVeZt9toVd20rWVW7t8PSKVonO1IDHxGrXy20Llsh60EiVApx2oESwSAUCxdLkWuunu5P1s/r0xWbEAWFwPUYue7mlXMCQ0DJHNJ7eXjmCI4YcTqv2CRvMy4ctrtfN/Z6SrjgInm9ygaarzvOb85oLv/Nz81LTdM2aoPtY/ps9/2Kbbvg+fkBz88PAoTii9f6a275umOPnVCrUld019PCnsyFGaeTM9D7KCLTvcQ45+sO+uM0X661HhLt9x/9fUh5svsdvJPeeyXr0V8TcPwQSlATQ9+X5ZK9j3yu5q/7UN0qaQp2TEqfzeH0YNbPhe4vXbnXv4+BchJ2eg4Vr4f36kZJ/lGyhp1zBJXKgSBRLw1cNqSBjeDKaK2gNl9LJ+lpPRWHYsCaFqjBQFL/7P4aimppRBQY1EK4JQCspxV7zmhlsft6/oIYpTJCzsIYq+sCMJ3eORHsIep8pij14hkLcDoIGZFerRUx9JJiQxpaG+WtPmuiMf2IIwAYLOu+OwBJ4fK49cJ2BwCvh2hRLHxu98SrM0LXSW1q1N6B5YSYlp4zXyrWO/09Y13vkFrB9boP7wLg13pACE2i1VyUknhRXyQs+ont1YLN1jjsoeTa4/5lb9C6kAZE6ygErPwHbnCFNQqd+CYpmBDwpnmFHtDOwHLOw/GKiBdGCgA1HNWsGm7BEzp4IZj33zbMI5DZI4vJyiVwP/g919xKtYpHCqhS48gX1J6VMO/lLHJ+CQHJWdJ0DtQSpsqPhngpiCUSD6Onz5VWar3NZ0XDnpU2mz0cORdTpP3GFePYn1nRCzHyJlsqK8qlWlzxvPFVV5fOe/vsfn6OLIxmBqxSH1RyR3WjDqjIe8/lpBhQczVSoP2yW64Sr/GARUpM2Ly01suzzAqtoahbK6UqDf469vsUNkuB0D6T8/rX3Ly1VD5gZUByakthL+a2PaMIVXhr1bz5szVUG1FAjAu2625rVO8nt+HjxNNXS0NcuB7c9emKKvmKzS0ly3lRBaYU0Mrewgr1LhDSSajta5G6h1zbcrtsIhvF612LWYJj4nzP1rrVu+xcJiCtCUsKSGs02nStxabedUDkHAFly+LlYtAd14hAgfMH1TpbC1pLiEvAKpbw1sDsyiGhFC6TESXveikLACY4CkIClvdi5EGq3LXKxrAcI5LIqB7t0d9ZbwBTIxPJu/JS3h8gm7emBRzIxyHXflgP/Zo/BYRi+s4b+4h6PWZeI9XiwXIptn/M9/XjzqUgkRCmtD4eHh+GVI8QOMdKr6XETmgN+5sz3v3sPX74ww9GMhUCPyfdZ1WJMiW6NdBCOL+9s5rTHAGS8fxwQVqXXj819BI4HFnS3P7dFfk/ttkzDsRRC9dnPD19xL5fsSxsVHmNTaMPQuhGeSLC+uaM03k1oBmVcdaFwuqeMKwtC2jq4GrWG7wXcFiPob9T43V7v4Z9qYzJovO9tMQYCYAx0FTHfnsZTJHfKwiw5Mbrl8dLUpuYYCVNPtPs2rWhUbsdgzPM336nc8g4UkuT9DF2DxqJrFWPnQJ/9UoCQKFqc1/FiFhLN3oCsNqi+ixiSAgrmfFJ9Qc1iA21oaUuKhpHCShRXd4kTDtxnxZKwAJ4BGfOgSUghoR8WpA3qXMrwLhzCwAUed91D5/H1hoQI++xrVlebVqCeFQrKHCJFfFM3YT/An0NKTkQKklIcTcUVwm1jmmxsj9B7qfcIHkvyNvO+37JUHIgzY/0a9Z7FUNMSK0M1QQM1LsccjVW8DvcQ3D9OZqr6ee6TZEv4/v858u6Vws2785vAfRNhi1tcWSf8w8yBOzXzTYsbfw8JoZXF0LrcyJni7LAw5tN3K7Vek6NPnfvibS+oaG2DhC7j7a3Abs0QiNwAXA51isXg2I0xeaX2jqJDyarPXUmWvtMw2XMUtbvo8qOjic5SxIAq/GmBcx9O/IkeABvn6ELbp3LahYgsTAV03T56NprD1pIi2yKzSWeK3jTDZU9pOMLCgjQaj0MdQghUoIWom5dIxqS0dXaFQIZaYZa7XPt3kwVXs8PFxtjzhk1s7KvfeKcPboN63WbHJEjgJgUVg/Atd/9mbThewu9rbfr5bW0m41H5qFKfk6tzER7vT6htmrWyhkIzEqICv39uhmhDeDmvbVhfepmUAuH0KYiBDWRN/xSGqhwCFxMAfv1lq6/lYZK4sEST7bWU8x7trA3CkzKYLlYIscUZAJAlJBXAmE9LYgxoTYG3lp0m4i9laoUtcaeEwXOyylJ6RJgu4qHV8ChhbLXamCViK3n+bojLgXb84ZTCFaneL9sVpNW5/hmziNZ5Id6N6OGkqpcnMCYglHvQYzu70Fei+yd5a3Kx6Pm5ahfL3Z9kDuGzxkt4ON1dR/Ra2qKB6HnJ/o81DqsuSAe2j5nEQHFeUFDjNjF2GJjm8Lo05Kwnle8eS+GiVKMwfb54dmYTGutqFcug7OrYQdcUuju7RnrWUO9K0rh9aQEaebt3NirgJXzcrWw+VDL7mDn/BwwqDIXrTb2bO5XbNdnU8xeq2ezlmo5zq2w9245LVjPK2KKokzHHgkm62hg35zWZde5+n30fTsGn6N3U4/3nsPWmuXZ2X6q8sp5NQfDqc/Lo36PFmDGg9aapYwQwe3V/fqRGlR9DimwVzOGm1xhzy5rnylwjsc6mZ8fonF+vW6i+wHnWDsv8OTk4HcaoBbQWjZyHY1YQSusFzn516T2pALoGNkjGaJETTUMhmoFmk3TltA4EgzN9ictCePJffge3TMpHTdgzDdiUBdjApYGUERbe+pPlrrKpVbrd2ui51Q1eMqzkBBZ9WoSqcOgwWdlzXVCbQ2KHqgX1T0qLRF3b++ERT1173GtNk1z2lEVo/Hzpyc8fXrG8/ODRS9xzinvqRS43BLce2DOoRA4pF+Nm4G6ke+yIcUFJe/ImYklY1yw75cBPHbCKvamsM6ovpXb8N0/tb1asBnTWEAcbfTEtMZgL6S+wmjaLH2brWoqsOYQptbcwsSt8Jit2kt0YMSBNi+AWUnBADjtvUSzv4O8OJGcV+RgPEPcvxO4pfbQCZvHKWciYOxDI5kQW+yS3wH0XCElG3AvLJej6XNrfXPzkx0zlvWHArKzshcnvPz4iqvDOT0EAVrVgKcyKAIqkJptGrqhMk01e0lr7puqEe2okiTnzYBNOgyooFXPaunCiAFnQIsRQOFaY4GEAU/YH6eyDqgN+7ZjvVvto7RorkSAcMEcWOpUoI5W1BDBbGUuDMTc3eiWYu6XeqA+r7S9htbaqKa22swz02rFdbtg2y5ybPtJBd9jTOZRrJnBZmud+IaIBiMCwPNfSsHzwzPeQfKCYjTAxq9ixRK68sNeec6TU0NDXLvor6UwEVDpVtUQCPBlRkqZchulLECKiEtCSgtCIoRKyJmvGWKUsN6IgE6aEVLEcmKLr1rdtfNlK4hRkSV/zLVc+zPIW+Ycz/MzHj8+IeeCN1+8AQA8PzxzuQzxdGmoX3Pegug22tKqeTd17BG6icPCezWHT9vs2bS5dHKXRcHL+4keNyjmMt+ahlBatRQElYWRwph/6WS4bxohohEjpaq3ncRwSMhFQ0fl2pIWMlu253kDIGCuKyO+P7qO45KwnBveNM6vvTxe8f3vvsd+3dnTEbhOaowS6lYYOCZhPH369Iz3X7+3fHOVl5pTx8+Wiap2CUePd7zOwymi7R0Q+zFpn5VZvdhno0FT36GcN+S8oTjyr9cKNoeSGzHgfLcMeW4cjdC9jt5r7PWWvld0YDk3v5/M78J4rfFdm4l+uONOZ3Le1PleM4Cd3+HWmByM3Hl8eeqkVzWbYr+elqH00k3NduftnHWu+TM/1h4a6nQDeR/jkgDquYo2BiIhrGuDhy4LJwQEjKoRhnUh2bNqMSMb51UvViIlmCHUYUz0exKHqPXULH2OoV8PYMDl67fqXqKGVfcU7Nr2eCOhtq6f6fHLmoAlolXJJ5XSLLU01Bp6RExtIE35oHH5sCGrIJGDRGKbYhJR72SwziMkwt3bOyHJimZQ2z49Y7/sQ4qKrWEiqXOdkJaEL3/1Fd7/4gs8fXjCh28+4HJ5ZFlTsujqcfCYe/3dnnktKCUjLidzMGTZg/n570NN79a6/OJUCoeDiAxwwpES/bnt1YJNAPAbJTBZn13svdYROprUMChY6AJFNmuvdPhNW4/xv0c9d1JAYgjY89jPgXVWFpovNK6/lwq77tjvznr7uXBdnSOvzIwgV0JaoYqXE77yNtY25ovqGFOMaCEg0i2IJ+LYeB0HuX611pAd8ZBa9aMcRzOrp7MmGgB04zIh5jYwn2vKSkwzz6GGW9Ma4DcLKp3mvzi2N+5DkBwBCJNvGN4u8zDqJlPZmqrEO9o4OZ2Y1KoVCU8DloXp4LdSh7AZioGLn6sAVoU5/kThQLNJZHweNkeqf8h92i7za4RRvSzCa2u2fpq8IY29NDUX8ahnXC+P2PcN6vW4UQIOGoe4JJTKG9LqWDW1Rcuv0S40tMwW0bdrAcChOyWwd1ENLZdaJVyo1zlclrPUj5NrpQBsMHZYkuO5TiYhxGYlDnzjwtEa8l1AKUguEBcijyGCJMSOLfsV+7Wg7AXplFg5aA3blqVMBbBnprzkEi5cA3Q9L9guG38eo3ixGOTv1w05MbFQaw3n+zOHKG07e7UEwMxKLCvGPc/MA6jWJJSTgNQ4r3VQcE3uYTiHJlkyHCtAuhyxMpLLDzKDZTXjnA9p5894LJXq4EW62bOcMpuk/EskwmXfufyA0/u1/AnQsNjvMFIOlbQ2X7Kv7FLHMy1RCJrGvSTKulMPI+f5sWBdJPIi7wUUmBwrrcnqZ3bPeZCII16feduNgfvu7VkiVxozhEr+p97T11q2Z4PbZ0A276p89z3SvD9EKCUj533w5L5WA5uv+bverRbtpeDqJcKQGWhqyKQBzdbzMn3j/RDQOtP9HerXHeY63BpW1ALuP29iZPP3OQKWFpkWe4QZlSmyQICmvx+BJFy/e3l1zRlQDH3sraqXToHXbb9szHIeBf7Q1mnpOo6y6NuYWzOZrCQ3IKDs1Woeo3EYfatVUqjYS1klD7OFiOW88DuqXmNy8+Kmz/aRyujT3i+3X2mobYPUKdVoFfcuHr9HNIBPzQWFuTLgPJ/mAGWugBpQQ0VLQMldz5/LR7VSUDUtqgJ5Y+6ASFE82CxfzCBam70XIQSc3p2srmwpBY8fH/H04Qnb5SpAV+Y9qAG3r/1NStjlLSMuEW+/eIv7L+5x/+4OH7/9iD/89rcoIm9CaIgxDQyyrXVngJUvqXV4/5SAEsQRVKVk29OUV0I9nN141kNuub8Jyq7/5+p2rxZstiaKUrhVGNhaGW4IPCiMljW9jn+AAAbCCA/qtHlA58uG9D7wy+FBovd2ziDVE/zMwFGZyAbv1HS/5EIpjyzgdi6UiKJ3VMTN0Fe9hgfBbGh2oEmus4iyM/cd8DVKw41i1cu6uM3rALBSI4DGfNYqoQu2WUyboDLPttYsLESfSxDmT/VwtsZFrYvUU9RNY55HDaVF6x5Opgcfx2wWWR92SmoF7YaFtCQUIhAV1BJkI+zAllkhm21yJWcpIxBsF+DwFHZt+k1vnkP7xG/yzkOr67fWDlSYMv62EPFrbYPS2jR8lkFnzjueLw/gOllsYaxT/oN6lPqm3QlGaq3miecwHw1PI6s3p2HfWs5pv+5cmkIUmiBkVrr2iTicGo2tuVoT0eejp5TwuD3KexCFITSyMSMECXmEMdDGxKVuWGEonZk2Sg7MugyW7f1asF03lrViiLh/w4C37JkZYZdo37XGdUCZ4Zo3w+tlQ80Vp/sTWuP6svvOYbiBgpXWWM4LGw5TRFoXIT+SMHpnTAwiaxKJsdDtDx7gAaIQsWAZIlj0+fn1cAQ4q4sC8U2BTZnvBU5jMI/HZPyz892+ZbLS5cJ5tkGVp9tBDmkDl0jR9IYeJdOkVFWwms+6P0VVsomQGzOqN8eF0Ap7T6vKXAm50VqwZT/h/dfv8fxwwfPDM+/BAkaz1L7T0G4KASH13LhamhC1AMtpRd5ZUctZjTJcZy7uwYhrdP16g83nmt/bAQYgbFziUDT/rOdSRq+llVJAQjzH+bJdJujeSCFI7c1gBh0P2oDbdTuXdQKO3x3NSRzOZSvAuG/i1rjjWwsdAJsXz+1nA7CVPDfdIr2BzdbPFFapAFSNVHZdBxRb9YAVN9c86ntrQCsNRAJWDWiKkVNy/4iU/Kan2qA5BmBptVUblwIg3TeysPESCOf7ExuFkhjpYrD3tykTeuhpNTpfpm+AnMxiUERBajW6knN2zLAvNnj90T15O88iE/Tm/ccwd/0ZwVj9KQKUq2HVWpukOigqFsC5l25UIJWRAdUJ8rQmC5nNW8bjx0dcHy8GMEmePTUyoNkNn72PmqOZnzZcnh6xfnuHL37+Hu+/fo/ltOKbf/0dnp4+oWo+pspii67QtDEBijTil7Qu2LZNdFI9vyCl1VjzAV+abVzfXccf95Q/tb1qsKktRA4DUGWe573ZS+LDKDU3jie6CyCgW60MQDogxIQ1nSHVKwq+8Hd/wbSfQC4rTsuVFQfX/yTgN7mF7r8PISAcgAf93gO0EZR2L6kXwoyBZjA7Xtdbdb2w5n1gFCSLqw14ZIHnMK67m37MocZ2HwdYu+dAGXTHMGkNbz26rwr6ZU1YTivncFHobIRS9kEJK3zJkD7Pbk6UUa/2rCD+Kgy1OucNUr2bFANgx+l4OUSsBAKIBWDe9r6xx4h63YHMob4lV5zuXS5tikKM1Z/V3Ghap+Pm125CglXQzxZs3UxaeZ1stEchyFXWRysV+37F9fpkSocWQfYyQpvW51OwyfMuG74zdnHdX8kJckpclrBABadqdKitgnIP+0vrwmE9OQs4EKMKCaAFlzgJMSAhiVLQEN2OwN4pMbIQIS4SkqqGqxRwultxfnvu4eZrYmI2Adys1HDY+JIiM91KCBRpvklsSA0AoqU1xBCRt4p8zebZWk66DgNCarhed2yXzTxgy90i4b7s6eoRDrB5jJHLqyQlt5Dmc+/J8hppiCZ5yZhypPiOyt6tke9GAba9BDefYQCBIwmbtvna3TjUtRuTmeh7lipTgQibsBtbCS+37Oc9T8/xMiuE7mlRi74ChLBEIAQs5wWnN2d88Yv31r/o1pQnHquZPdcqp/fG3oAk+bkAewZSiqAk19E9wPctHNP3+/6/9Fy19jF7Nreb5/da2wA0ky9RIjqB21M8eAO8F2psI1A/ShUaSxu92GoD4rhfDfrelPozGvpHnaL3uQ154gA6OABurqERJ5bW0prk1lXE1iMnfFkhoOtTWp7HM7jPfQOACE45IqIboKn9tp8m6MjI+uzeRPbMKHJYaCvdsH/3/g7raR10YdSeZmYeVCP0wvATXvejboDQPqN1MqNWVb56XYE1p1sGd5F9oYFqGsY8kwn55zPIUNP3MeRizrp4Fd241IqFIvN1yHpQMLecV9y9u0MIAc+fnvD48YlZaGt3FtC6SGUBdCNAfwR8PWN71nVU8Pj4Ac/PD3j3xZf44hdf4Ff/8Hf44Xff48OHb5g4SPalMUWHGeNZ3megMieDgtsk6YQpraKfMDCNMZme0uewyrUUfJabtfnntFcLNmvNzLo1tWPBw/9TgXMU1gDwQtWQUN1smTb5ts6mB6KzNbl7EAmghr38HYSZevDwzf31bbbUHbEevtQ8i6uePwrFPj9HhBazsqOWerbWsyK7poSWheK69FwAf08FlSp0ZgB700cVwJKImEvhe4vi7/utQGoOAeyAVkK7yHlVwfX8yl6G692ALQltiaEL+ta6YFHLG2+cYbBimrWIOP8ItYFSQJN8zt5P/sn5TEJ0UWGWZaVir7UCGdivGyi8GVjjxnH7+XReX50v55l9qfUN3P0eCK+03Nxxa01qUnZr7dPTB+S8y5y+UPLEWX2BrpyzkYLDP5takZ0xZH4nuMwKM9rV1oAQgFIY6INAVJFWDsetwsxYa0FDwr5zLcsUI/accX3aACenWuUwpxQC8jXzBhcC0spKYEpM+EIB2ISEZzmtWM4rooRzq3JSM2/caVnk/W7YLlcA7FENFM0D0gorPyEyI21aA66XHdeni/QRzDwaOUSXqfkLaskSvUJWDoMCRw6EFICs89y9uTNosnlt7O3UOsQ3z2/aN/y7Y7rZQUD6gZ1iWk63ss57WP2a+ZyM1z6pbPfy1rN7j/0mAAQEDtHVcfu9KWjirFxHS00pwMyiBAm3BIdS52K9No8IYGkKy7rg/v0bFAkHBzgyAwBO9yepvceGgv2ygb54g5h4zb/96q0psWnlvM7utXflB6SYe0jRnn2pFWvqctMbNHXefQiyyrdSmACMw9BGQ9trbOzJjIOHsQNNjc64BY7eu9eEHMbyNW09j82vDb6W/855z7R5w/sEKrUv/tp6zHBsf2Hl3nquA5juviGO7752TuWl3be1gRAohF4/k0ECM54SbtcOy34M89nnmvsSJUrsiA6g6xf8t7Lta9RLQRUvKdjAxzzXOJ1X8dKpYZNsjo9k3ucMLCShr+oR1Sgc+dKis5hZnVONdG9gveVmULYIlNiOP/fjneUnH+CBnfXPsw+LEYE9w0KGRBoJ4R0EsD6f1hX37+8BAI8fHnF5vBijupWQr5XHFoPwAMBFyeGmX11GR8TYkPOO7775LR4/fcSv/v5v8fN/9wukdcH33/weVYzUCuw1nFa5H/Z9w+l0jxB4raGAyauWVcqfnM1gtiwn7PsVWvqK+xLdvP7lnQavFmzyBuFq3bhk9iBhX9pak400KuEJv/hNC1yDF4WW79BNWQWCD3+dlYN+LAZL+mxV1/P0WsUBXn+cNp9Lc5SzGZ2g8s1T7+v5gQg4CAc+2kx1Q9bvbzx+AjR9ndE5LBgGMpvd23KFWiew8IogWrNi5bMiNjPAWV8cYUCng+Zz0posX2uXMC3ND/LkOL0OVjOh4a8PcPHyliewbvcFGvX8DK/IdKNgs9xMVc5s3UbO8M3Pm4VmMJ02A86sREiBWdKCEBjw+mVr4fD8PPB1Y7HQYPcMZqCjAN7mJhJqnazan9mM/pqbHx9ba4sRMXz6+F0HCbWTWs1ezbkZ+6EYOQBYfiWIyVW8YltytZxFyJk+F5iNaxGrypBSERdm4N6eLqgVWM8LWggoWzGwzLJQAFnumozW14op4XS/snEmJJRasCxAWhac35wsDFNDlpos9mVdeEfPnG9HxHlcKSVoOSr1cmaZj7TynFwenvH44RGrKEMhcihugb4DCTEsuH9/z+GZuWKXPBgNhadlXJcqO2z9OvlthG0uHNW3l6ID5jYbCV3knz0rlXm5lOHYm2uZ0bLL7BgCZp1MAa/aqlpjghNMsro/17FGMtM31QFk81yNiv4cnRNDQJb1HohQJYI/BM6Z0vsqg2fJHJ55uj+Z4ln2zCzE1JlGg4TcXi+bGP8y4rs7y2mevVI1V8RT92qqYldKvUlV8c3mlG738+Ke437ZsUsIbZ/zP78UwL/VtpwXRwb0spFl/tzvlXzuwcU9epLmy86NW6joX+H2fez7+kh2aNd0hCrD9TxYdeG+3kMvHeXfp3ECDCgg91OOKNLw4rmfJgCoj2fuExGaizzzINn3mwCJ0OvEhGbYnPtJhFze4O70EafEEThFwLFed10TlnME8AStockjn/ZwD/rqzbd9PomEyKYacd5seG1d6eH7iJPF9D/TSW7D3pVbpcRu6O3XHXWVm17KHslKoO4H/JGyypuhPgQsa0RIC+q5oOWCdDph378CADx/emIjmGIGr0fZmpCcdSkbM49//Mzp4iEi5w0fP36L/Z+u+NXf/zv87G++QkwBf/jtvxpYZK9tAwVXaqxmMYglMTKzE+Z0usenT98ihK5PLMvJUn60jcYjx0xb6qxG/knt1YLNWjkEJ0ruht+kuK6OFuSlQcgQETRRXf8mYWKz7zEqKl6BUQUzkCv10cYakgDMAziDTgA9TrxxTs0RuUTvwzjuwSI3K0ySgxSFzEbH00SJ0XpzR/mVPnd09PxyeRUFx1oepTVY/z0g1/fd9y2KB7CXgZmsk8Awx3xOQC4Cfn4kjyPYZiWCPCXcnU8gYsZbtYan+3STj9las7yMGMNUW87Nb2vGHqvAdxhHILQy9ovUuCH/FHACAE35kuw1FbZY8Wxy+Gwxb2feC9bkWfHIQoKNadnnX6D3c1j/Nvd9M5w930eGhiOl4DU0q5+mG2LpFu3L5RGX6yMgOYaenp5Plp83ik8AJGSlNQnXLsWUpySkHK11T3UW8pTtwqVSCAExEsouIf+lISWhp5e6b8tpQb5m5L1aCZJP3z/gfH/Cel5RhTQg71yDTLsZlyAhdOwtTCkihoR0ilhk22jg8i8KmlCbsByCmWndRhyWTmWvNV99aRYSsNLaguenZ7bAx4Dzmzss5xU1Z5bbpSGdFiyniEQsv5PUlb0+X62v+h7WUrBvYw6WhssTBZOhRIQUgxHqKIC7WQvDhvwyIFUdc/ZsDqWIpjZ7DvpeIvwpB++WNzYOyrbIay/TZ7Aw/C3K8GDQcyRtDY3LMNn4+T6RAnJVTydfJ0QgVFm7knOsteFCCAgrf3f/7h5lL3j69IS8ZSu9c35ztnqI2uKSsJ5P2K8blhMzb+dNcnVbs7VdwHJPw/d0/weYGKXWyvWxdc7RgYDOm86P/p5zvsnX9M/ntbUYNTeTLE/Th/hrPu1QNgzjfqVNgc/8rnh9KhztGy6UcwaRc2jfvH95Q7F+ZuG/n2mjYQo4ihACMOSemoEk9BBgAxRN7w20wvqD5nPGpLJx1FkUsFt9Soz90JJoavjFNG6VZS0Qfv/hf5QczdpTXWTultOKtCfQ020+q9dJhkciebqeyVbnwCJa5H6ttQEQ3lzP6VetwvZN/cwIjdx86n3m1Kab61LPK9X5q2VMXfP90rnRFDrl8YhSD7jWivObM1qpeP70waIxbIv3BpmmqUZdb6SmhoHbqDO+f7YxVMeDcbk+4rf//M/4Zfk13n/9HgDwu9/8N+RamKMBvXyVhseWwqyz3kNJxGR3muup351O97heHof+qEgbQGiIZlz5c9qrBZutNWzPV5zoBGjRe1d3SVfckcKgn3d98ZZ0R39VUOhBkScFimH0MNr3DpTW1oaNK1Jggh0HGhWkEUnNTJ+MrQILc41PDMcQlE321jLJnt14CAa1eev6XKJFP9PzdtnYSwhYYjSvsM6xejZtzIEQKNp1h9zRoEyvozIVQ0CrHLI1WwJvBX8zxXRdkhkCAPaElL2Yd7tKbTF/LYrR6rcBDDiUfp8ZjSOaJnIbcyvgthNTiLQ/Ksi6oKk2Dk2cN29I0PwhBiQxcT2nvGXE1BnG+vEKLiU03AvfI6CIviH05+Sevc5vIFDVza63WfF4bc08Y84yTAQ8PHxvgnnI13Thh0dNn63OVylS43JhL93pTZQ10uuBZSF+qEZ8ps+S12BaEpbzKuyIicNLnzdoqAwFMqAKAOmUULOE7W4ZIUWs56WTGQj4iisDzRA5V2lZE2pr2K8ZrVXszwwE08rnqREPACoq4tKQKCJvXMw6X3ek0wKKhO1R8/ASAgVcni94/OERd2/OON+fcf/uDq01XJ4yWqmcVyQgnUBW7qKIvHn31VszrHAYfS9dpB69GMINUGBDWScLU+OgN1Rq84EUP5Zipt+XyoY3zd8MGInRbs9z0SeY954JNB6EaNs10I2TWmvZv/v+d0uLcONXuav5nYAYGVqXTwlANgDA/Y0pYt/27nlSgitInqZ4OJV0bLvu2K87Lo8XZiteE3IuuF8XLLp/B5bVFHjutgsbk0MM2J65RnZckhmT1UCmZTq032pYNbmriv4BIG+tcamdfevz/YrlnDYiGEj0JY9U5nh5P4aoTjqVm69+TAdoel3+oM9r/+xWR5vzb48NpfKZpCUcPa4jsOoBtTeWDeyyL1xHQc1g7HZ7hREHyd4ZUrBQXK+zUBivV+eoqWnMloco9/N7S0oJhQpCISZKi2xE7DpDGyK5boDm4LWT/b+pgQa9hFtrphOZd9ZFCs7GrcY3k3GKLBSCnVZnYNONoDpPBZ/RYwaQCzPya2Mgr55Nul2HMg9lL1jeLFjiAiLCtvX65944YEQ95TiFpk3gfH6GCnjZWJ1Rym5y/Xp9wr/+838F2j/g/dfvUcuv8c3vf4N9u5qnUmv+EgjbdsW6dh4U9XoSBWzXZ6ynOwB8rxgXpGVFFiZ4PY7Q0IS9Vvt51P8/tr1asHlaz2iNNzFm6ewP3IdeKDU7AFcPhyQMsQMzDzZVMdFmiqgDmsbwd6BLqFcTwAS4wnCdHsqjyqsqDWLNmK59FKbrP2sHAFb76H/Xex713YPQG8AqYyiS9K7W8R3zht6v5cFwDJwP1BqxVd3f03lc/XkMzMdwtDmkQr9j0hRWoP21YmRrWW1KCiVK1JpuXjAVQiqgvWDlMMLRSgcAno1Tw25aoxsvqu9rC6Pgo8hK3eZAN4kHS4/p61lj77t1VK9bfI7JNK75dyIMob6tNbE0w3I1iRRUfT6f46+5af4LRLDbPlwaHh5+MOMAnBHrphGB2mT88ZtbrRL2ynOdlmQGifEyTBKk3niSdbcsEac3Z8SUsJ4WpDVhu+zIe0FaIue8bVmstxEUCXUXb9MScQ4n5D0jpQQQLCeYFR9WImOK4o2X93WJKDvn2+m41vPKm95lE0AZ0Db+rpSMXcJ0Q+b5XO9WbM+bRTXkK4Pufct4//N3CClwDVCtbRsJy4lZbLHD2ElTSljvViyn1dZqrzdLAlI0J1MApyrCYHnNcqET+gC38k6/n5+LP0ebc86wMtJmYyYNIbFlWjsecGqEy6C0U/e+Esis4kdKwTwO3dOg41AjGjhPk4jziHaIYcyfD34PYgiAAQ308FpS8ouuiM2AgCI/hzfv77kvD882p3nLSGvC6Y6jT9IidX8dYzLLUi7hENeEUiqWs5yvrOEio6OskebePz8Wnt+RKTXo/JeKfb+YAvh/lKYGZyLCUB5uSiEaAERrQFUD5y3zrA8zHUrKOfB5pNh6QHXkhbN8T42iMK+pnO9Khb30fvh3avBcOgeFB90KovQ8rr855gry2ne5qLV1MsHWhpxP/kz6UkZw3Ewv6aC15DYAfsnYt9zs6jxpKSRggf3ddb3R4XITcSEcAvq7lpKhGEC1WRmcInWij3UIZ3wHhuguNcQbcIsEojFMeN5PVRd6CWgCt6DfPrf9rOu8ekgIAQh9DrzRIS0J22UzMrr92oZn3OS52ntQR3BMgWx+NAnCExX5ec+ZDVvLsoIC5/eWvOO3//LPAP0DvvrVl6i14rtvfjuQS6XEns7t+ozT6R4pMUAOidOrYuTQ2pwFyBJH9sS4oJSCJgCUQOC62A2tTaHcf2bqwOsFm6d7fhhbtRCexkUpWUE/ABGq3A0kQWLhss1Zmlc2vGfTvicNO3X3mDyRR8CNgayEthqo7OcNxA8YQdxRm3M0+/1uf/eAdv7Og1C+dwfLXlBr7L3Oh69lZmNxSpc2DfVSry5CQHTf6zUCwPlO+TgUbew7gyD1aCsT5extZo9NsNIJpVSs5xWndUGtFduehQG0dCF4cx+5Vgpoexs3AGepmy2on+v7jQVNf1IVz+aCfdntezTOgepgk62GZvVEF7A+d/NWoMvPeiuw+T2xTrq+9j6/tmYbhmxgGsJzebrg+fkTAN4wSs1CM/8T5mA6prZixi6tO+gVHCUlapWfca0NFUxssApzJANUMYjUirhG8coziCt5YyUywjbIZV0sBOry8CwgQEKJEnsQ0xI5rFc8libH5LmvZ/Y8ne5WUCDsO5faiZFQCltL9wtbT2MIyFtGW7q3CwQrgxJzFossE8moVf90v/K6Ey1hPS2gtGI9r9ivOxPGLMyciSo5sLGHXi1LGnIzYwjGSMuyxwNMyM/b52hEiE5p9TrZzWMGIVC7NQwSSSrALbuWNzgGdw+vJKpsqGDGXI2E8HwCs7FNz/WW/Og/n+5DBKu9mUvpBELyHFmPFONq4OMI4lVpDcVFbgRLRYj2WYwRlQjnN2cAEjoeA54+MbPz3Vv2am+XDbVUTh2IyaJO0hLZmLJ2kOGNgK3xGlvPJ953qOdp+RaI+Rh8tI2u7ZqLlB/wdU3Dj0Yu/DU3NWJ6MBfEK+fD0WdACPB+o2AtTKCt74EOZFY/3zT8PnsTNTSeSW/03g4A0tgnvz9Zm8BqvwJsrP5deRHQODnYakWtbLQe5sKPQUBizZW17tYGPcL2ZQGWAyOspCXpHOh5us+bkyRoKZYA5ML1wmXB63NT75vqAHO7AYxlBOdKUqSGbd2LZuA6z5+vA/7S/XgMMEBWUdFK1zf8PdRrOofq6mSSvOvjM2QDl/d0889RNnosoPe7Pl1R9mxRM0VyMdVoMBsPuv51LCP6M1QPs2AUqZ+pXsWUVjQBiX/413/Felrw5S8ZcP7w3e+ZUV6NdOKh3LZnAMAqRIEgXpsaXhtCQM6s0y7LSQwGIxMtABhTbv3LMEC+WrDZ0PqLJfHY0V64hkjNYrSPXgJtuukAuFEAfL6mP58Z71wokvbJATb1Yn7uvuY1G/pCw8YXcPuC+2voub1ESJ+fOZRMj7HvaBSGt32EsRV2C7zmmgYr5TJ4AKnnfnpWXGUOnhlu9XevRNVSsJcyvNBHgtPGKsQ5eq1SG3Z5SfcioRExGFvcjl5YPMWI58vVvJk6xyEGoMLVuewvpIbLeoWPXJhvk9Cxps/IeQD0GA1lVDIYnT+28hcADAiWEyvkakDhEDJwjSeMG57NhweZIoya3f+FOZxBpwrLdEzQ8Kqaz5mRjaXWik+fvsW2XSx8drAMT4rYPH+9xmYB521yuJ55iSaFSA1mtVbkPN0rMDPLvmUDnGUrLGdWDhlXVlcGsrGDSnl+gQLevH+LInkdgTjUKkTiGpuLkAARW7bZE9vHtJ5XUIrYr7t4lHgMZd9R9ixsvXz/9bxy7s2V37PT/QkpLQKuA+7e3eHu3R3QgMdPTyAQl8w4LchbgRWXR0CWMNqaC65PnLO5rIlLtDQ2/sQYLTdPPaiaujCT4qjEnNMmdBmo906ZZ0s9Xve3snUEqrouLBLEyTq9/9wMGH5mz/A/9Ry/9o4IVRQ8aiTK2O9x/zO5bpuZeD1VAW0Ne8lD5I/2SWXREpORsplh4bSg5CJ5xJVL9qg8c8rlelqwb6woxZRQy468Z5zuTyh7J6bS7lVR1quRMfVn44FlJLKxe8Psdt3x8eM3R5P9auWd9+4p0FSD7ZFBcWBrdRED/LcPU3QgU6+VDtaJ269mEp/gj3f34frEYzjkUeirkbLNIGcCuv4YL4u9LhNTdEQ9DS2oXiB56/FALlD/hdS6A+9hoyHcFtSN9Wo0DimgyjtQcul7dwWapM1ovqB6pQH0sn6iQzU3R37ss4dTvYlz/XH9zoMz09mklNfN+GddjWgA+5anqnoRgIBewkpTnIhgwE7Xl0WUHTw3bSXX23BlmVseez8+rQkUGZh5WRUXDvE3oFkbgGogtrrx6TrxFRPMuypWyl5Gh9NSbiMvGeDv+xV/+M3v8Df/+Gv8/O++Rt4yPnz4g4FVBYX7PobS8hxELMsJz8+fkNIiAJNDdvl3QEuoAECMC2rJ6PGFf357vWBTLD6tNuS99DA1AC26cIzKeVgUnDJeGxDEKn4Qz02kYRW33yWX9wh0pcGH7zT0+kZHbRbms6VtADFHis4L1x3YbD/vWOPriGJ19NMD0VlB0lwhr8ipJVy9s1q2wVvxiTqg57AxWG6NegBa4/Iq1SkGVrKmdgGoPwfQ7gSpelxPaUEJFZfKVPlxXW7yPzEJVxuTKxw/W1RVTJZSRgHrhB+FrvhQ6f3sxoTjZx9iBKgiFGGkbTvnjDZNdncCVn+2ni9DdbT09l/dpuY+uwGaTayUjXq+x0so9RW1koX8oFZszxs+ffqOBXxTAoaRk35WWvQz3UjZglmgxELb84b2ZZcrrTbbGGsuCJE9hE3ybPZrRpPyJGXbUSXULS6cv1FF3l2fr2xoO60IQUuPiEV1r6BIQAxYTgmpaZhPRGsVcUlSL1cHIHNRGvbLFUTdCwoFLURoe8Z22VFyEQMIC8XWYLVtuSg8r+dSuVZZShHxDVPx7zvn8alxBgBO5wWQ9ymmgOW0CtjvSk/eC9a7dXhn814RVwbYSqhjofghWEmrl4xwMdCUmtDfCwWhR43UqgSwh3O+tgtjzW0kbRu8kSIzmRRiNByqkTBQQ/mR19Bf15N+mWFyBt/E73lr3EcNvdWxl1qRYkD2OeE6TyojckFpylYq8yms2USEFriuY80L0pKQ1oQPf/gBJTOpVVoTexWImLmWO8e56ZFMtu3XDevdSUIOlTW6mge5NQxke1rGZfRi9KgdAHj6+ISPH7/tzxIv76+vpb1Up/Jo/N6m4IHmnMNPBAOsdvwBwPPkdvOWYiR39ncHkxQijpp3JBzpTf5dm3U8gHqaSlXb7MH7G/R3MjCoa6rWOs3RGH7MkUe1e3gVoLVmXBT8ZxuuM5AkkQOn6FErRGPt2aEsS4yARMbMbP6z/FF2b4DBXpFSW0HSKiK1G4A1g8qjMOibZyXy1/qo9wQ4BNk9O94jXb1RM34ZdOV3eZJnrCPBETRNz6Z1ubesDI+uT1fEFLBdIBEWEdtFnqEaDeZxOBCujOuHuM2B0NqYHTa6YtetFsC8khXPzw/4/rff4Zf/8Ev87G9/hn2/4Hp9Qs5M9AeC1QS+e8NlWraNr7mud3h8/CAlUu7sHpz7mVErXyMEfd4JzaUP/Lly71WDTV1MJWcpKNtAq7rJAZIX2hRq+ZsCe63CSRKpD/I6AN6stIYkAIA8M+Dcn1tyoPkhzuDIXnY6CoO9FaD+85f+1qYWb0/q48N17fwp9/NIqfJhqd7bm6IL/yAgBc1jbfZZqVxuoM9hE4HTczXnsihaNqGJ8mV9VUFdwBpg6cLNC+cYmLSoP7ae56BNj8+TB5Vcrt0MxGaLoAo77ac9K1IFyXu7+/PkOmeaozEJ5sDezX3rdRjz3uu/lVI4pDAlu14Xiq7frq/6Phx6P/3vDsx3YD+Fy7xC0BlCt+aycaHh6dMDnp8f5B3ixH59xn6NzG1WdlTAt1axXzegNi4ZAlgesK4TbwRZViUH4GvlvWARZS5fs3kk92cuH7GeV0RZO6DOAMlhbyQbnYSuCsiNyyr5ebZkkXNFa4XBbW2IiRUafZniKQHXjNyAy9PFokmIgoQYAyERyl6RloUJg/JucxKWiPW0oOwV+5aRrxnLaWHloBSUHLGcA9Z1QQoL7t6esV13Hp8w+BqbYOryR6+/xCih9AEpRPbuhjAoJYDIaozy86X3fv7+xc8dIJyvq2VEjq5l1uZBZo+gWAGnnsa6zct5TZ/r7/y9zpvmygeMhHBGehQCA9LJWOdZtwFNO+n30HDq0/3JCEbW8wmXxwuHh6+LMUCqB6vkzjSb94LteTOFtkK9ON2rFYjs2uq1LhJOWME1VgFnYJX+fffb7/D8/ODm5M/LW/praKoL8d4hnzkAA0BAUj9nBoIevPPPcT3PQNPXt+yf2wm31zBQekzucnRP3wYQ7Ix7/vokB7SDUE3VKY76NIBJ1VMGb54Av2KDhVmkqBsi1XgMwPrA+ZpTKs9BH+xdq6OnjIgASa1hUsNuqPPH8HurKWTo5D2syA7z+GN10ue5G362Ns6T+84b2HGz3mgAsNoX60eUUnBmLGiAk5c+v5bXgFsPIrOU+Xa7bDiJEauWIjVomdtD2WfRbsN9bdyyn9ZhPYKFdCBHDqSkZgFRdWX0eWcZG/Hw8AHxXxN+/u9+jp/96hf47T//M4NS+b7VHoZLREiO7DKlFTlvOJ/fIMWFI5laQ0oJ1+uO1oox22q6gJZB+XPbqwWb/gXLe0HOma08paJR35S03teAigBTWFob3mU+5ECZJBpzOr0iMDOvmpdQFxD10FK9FtA9hUSS/6hjox4O9rn20ks/3MdbsNwxMwidLf66KfN9NMSqv7DK+KiW4+hAowfP3huqQtYrXVoWRYG9B3RE/LIzAx5GwHQQ3qYlaHyOjnoKfC6K5n3VWqX/7n6TUBy8mrJY2EIH3pxb3ySIqFPuO8A9XN9tWBq2O2+kWoqnewtGS2TNBS2yN4r6ifxD50UFc+3jG/s1bRrTBqMWSBXO/0do+tz3bcfj0wcriqybhH8GAAxE+rnsAJHXurJcAlwXsNbGRepdGJICeiKmzF/WhHxaOZyoKPCEscCWnDmHKCVcLxtCCNguVw4vFNKFSlw2BdS9A/oOaKgaG186OUWtTI6lG6sdT9RDEEuTFAapRZoz0rIC8m5WmT9P/hDXaMrPekrCuswegbSIUYhIlCMHqCQfcwWwnBb2iqaIuLCRcIkJq4a5V42YCJYfrm2O9prft4GoDEzSlYXwS75BDJMH28nKI2/pUfkTjfqYiYIGBVdkVm2wXE19y1UeH41n9gD4NekVTJWCR7n+KUaOMKGe3tFIOAbQECiiKtCUPapgzINSb6XmP9dcelgliEHf/cmUeVWUtIxTyRWn+2WQlbU0K4OSc+Z8XicTvbFSx/ZS80CzNeB3//l3KGUf59KMxa8TeJpB1LU5JJIVchzIvBE4Hu0NMxiby5IMpzhdxe+N/jpzU3k13rPf+2ZMqgepDtB8dEmdrqFGwhFgzW34PASIy8z0g3k+EKh7hjU3ddY1agO127mw97i2m7+V9OYGeCvgTBEo1QClXtsiaiQysDrvq43RgXDVmfjePn1Iop/KsUwDjZLxJbCqfbb7BQ7v9mkMw3nyPG2dWchyzzd9af1QYFIgANg3TgOppwUUgpVkiktC3q++g2htNuA3A+0tEGLrOeMkee09BLi4VKoKgA241HqqTYwRKa0oJeOH777Bm/f3ePvVW9x98w7bdulzINdorRnZmn63LieUsmPbmEiobBmlZqS0ItAVpWqkVRnk20sG1j+mvVqwuSxcODrvknC7F7RzkxeWQ2yokoXczK3X54TlaZrCpwtksqjM61bDdDxwI8Kt4uE2dg8wgfEhD3T4XlgfvWzA4Yukx+n54YWXe1TGCCZkZ4VKErFjYJKI1prU3OzzVmXcXukiYgVQ+7KVgtR6SRSbayKskUuiLDGiyJyOCrzri86N3xwrW+OKhFTV1oY6pw0NKQTsomSvSrVP7IHR32+sb1PYrl8ANr+RUIsLTbLQH/YCGGAzVlkMwHe+d2cf4xqbDEDiEKareQetApSc0qshR03BrNa+o8G6OTcFlzfNrcV5bl5ba62xoao2PH18wvX6xOVKJF+zTCG0fM7L1kB9D7h+X0WtwtZ63Sx8Rw0JSkjEddrCwKzKSnkbngEAYdC7suUaEuJlypV1Qsg2ItIaObxVZEzeJESXApoLv9IxqQeRPxODWIrIl51DfRvTrpe8Wx5oLgX5sndG6cb9Sin1NU/dW0sxcshs45vEOG5+IZHVZFzWJOFeQoZAWnKJiWtW5wEptRqjqT4LK1c1yeZuDOx/+z7onJfqjYS4eV/071LbkKt+c6/Qy3IcKtLEYLQ/yi7/I8R7jDEc7XPGoNnb4NeQNwgqALacTTEA6HxGCiioiMTpD4EIa0rYwCzfmtNeawUVUWgRTAMxZTawJZ7uT3j3s3fYntkYE1PCdnnmesLbjrh01UXz1aOEmaeUJEyOuRr2krEIOYaCdf9Mhmfgnv/D9YJv/vV3onjNYZav18A26hSjXnMELodzXeqRyRx5rvMcKhnjeF9/raPv5/fT962vBZTxHbN9N4abd1gvZJ/r2DUaii1J/J3mkk7hmRZC61Krbow5ogOYkc6XVlFyoTn81MCSGHcUrDg90e4VbnVABZyDIUzPQTOASjHCRyKrx1P3Htap+veBQve2imOmolo0mY5lHqfNeZv+ntoMOlvr3uFKPY/xqA3GdP98HeD0JGVDDqU0K98l5+cti+zJaELQaIRP03PQf+qIUEeDepLh1pmCy/7PO50CWlPjLofT6n1K2fHDHz7gF+cVX/7iKy7Blnc0cLx3KVkiRvpcpnVBEDlY8o66FPN0tlq5DMrl0Y3hL0MMpO11muYArOudFfuupWJ77iQvrVRorUIAna1TN+0UO7PY5MX0njj/Msw5PT2clL/Xy/v36kb4yt9DMeLpX5h+AqMVRc87ah4MvKTw+L4d/a1eAQPFYC9heiFngr/jnKgohWj9vGi/ACXvqdM/BoZ6HnsnnReSehkaQn+xj1rOGbkWVnpLNcWj1IYlJdydT1hTwnlZcV5WMVL0grt6WSawKCawzBjgvOk6Z+RIWGwuNYZ/2jB0s6V5oeg5E6CwNRHY46XXzNs+9M1vWJg2dO2v38D0ft6YMefb9HNdYv4rbq0y7XvZM56fH3C5PEpCfw/BN7DiNouj5j/PebO8zdYKtssOEPWNisiIIJTkCuANfLlbB+KOkouVNwEghEN8fEyRrbKicKWFiQ4CRSynaCVE8p7lvIrtmnG9bNiv3bNjsin0jbVU3uCqvFNc2LuhtiJkQg35yoBTiYa6XJQxFg6bZRnNCk7NWvuWENNiNRVr5RzuECLOb8443Z9AkT2+JIRvS0oWAaKyg+87Mr0G8XSyTJUxTvJ1WAcC9H4K2BAb1/TsxwgYf93aGKzN6Rp8rdHIp3uM9l2vrZEbM2juTpxj5Z1oNGT2825BAh/D/7QPQSJZOnDn62iZKX8flTeLsATbNVXGBKnDeXdCTIEZtoV9m9dKN/blbTePTCkVtUgt173YcXmfS2Ph8BkAHYDGEPDw/Sd8+vT9Z41wr7F5sEDOqKC6yUB8QzR8368h13FAs5/ygnfvhXakB+m+R+6frzKgcsD2WnRQ5K+rBjs1nhlgEFBg4cE6Tn8vGz4b2mJi+eT/+XvY3BwQZgyg+siLHIIAZf4sLfFH99wZRB3mKEpEy7ImLGvqPBS1DZFVmmowyIwYgHCsr/ox+/syodJU17PC/ul15nZIADnpv36+5v7Mp/mIMCN4ahLNQxPrcggouXDFAtFdPZ+LbmYWJen64XW16PZv38dg6WXOMyoRIaBu6GcZJwR+IeHx8QM+/OEDTvcnfPHFL1x/lXywWQqDnr8kZqjNZUfOG0JgbylH+CVjoGWdpg7/Pmc8/yntlXo2e53E/H3GInW4SilITdgaJQyqEW6yEGe2KsDlW9Jo0bYHeZDT2MOaqG9w1D8Dji2Fmm+jf88Waj0nAIMSdTMLdLv49ViroeWu7cNc/bjlpMG7C7ClYrbwadipv4bWHK211xclAnqagnjtXhiPhsD55sNyYwjY8i05y43VHszYWYLL35S6m1wKIVqu1jXv2IQtc9xEZ2/2uA6UFGA+LgSucamKtX03CSy15lYXdtJa9wjbvEioR6vVcgu8cOcQtDTMYy3V3YeA4pX+YfqOhbvkwWo/9D4qqF8r4NQNBrXh+eGCfb9g2y7iPSqovuSJrYueq3gopOW4nHfJkWAyKfYouvWZgoE9v3GmJeF0WvCUoihEMDbOIF7vsmerMbhfdzM0LKcFFCNSikPI7P54Qd4LAgWkNSDGgMvjBe2UmNVVgIGvjkQxICkjcSkcFqlzZqy0wlqcgUrkZB+YFXoPKBufV0IvVbKsqxELdSIYdNAM9oIp6zgRkzoQOHc+ECE7ciGdw8VZiKNXnjACvZdCbRVQwcmAo9bBK3scRe9Gc7J7NLTx+JIoOrNBUEnljoCSNwZ62TOH1GprTYiGpt3P9pZpbDovndiOI0x0npp/rhhll+YyqwHXtyRMwbWMchOiBGu+ZlwiljP/zpZ5sfhXSImeHgGwXXecUzQDXHVM4fO4tB3xFXz/ux8k8uBYrr1WeQfcGh71s8F+5t8d6iXi9FTe35zOMYGuF27cDRJhvP6oJ6EbbN3eqfeyg6TNINOPjUAGOOx7p+sMXn89UWQSh6J2xwXRaKRtNL4LqFPk0kQeNPRLr6V7v6QhaF+VxfSmj3LMS2U39Dgl7FJ9Y8gNdLVLB2Dojdcv6rA92gWA1aC0MF+wzj17Lof+T/fSOQeELE+cRWr4t+l08m8ebwNs/bKXuO9Dfs36cRlLrStRVUsVEp1jvdCXxxvXL+/NFmEGYv0tjDnt5hmtfJ9agRAiYlwsZz3GhOv1Cd/8/jc4vznjq7/5Co+PH3C5PMj9OP3Er5FSCnLZeT9CwfX6jBgXxJhAFFBLFk+nGJfVs4pRLv6p7dV6NlNacTqv2LedqdJLFSZHoYsukzeGteWh7txR85Nu9TUHpYR/V9ClOoktZgci9efs0ewRkWplvbUMKl3+YDmZrNyzRXm+hv9dAagn+OF7T55Mr/CK1dr3VcfsLeLeU+AVzbkfs5DRfpVascvLvkRmykrSrxQjlhhxWpbBGODHNs+Bf6n3PeNy3XDddzxfN1yuGx6fL8wMKjl087UOgazfJGm07BHREL7jLa7WP/k3WtTGDdyHKEEUUxY8Ueo1YRDIJli9p2SYbwxWvRBpsO76cQ+WSrc+jubgtbWai7DwVTw9PGLbLqaE1trr+B692z96bWGOa61ZWK55YkK3qmpRaLO6Q8JSt4z9snGaQGvs/QvEBaiXBAqE/bqL1zAjS1j46bxwKBAIZS94fnjC9sw5qKUyg2wtDenE3s9aKvbnTfrR6f45FE6TpjFYupWEgWIEiSFH50UVnSUl1J3fMwrC5FgrQEBIxBuhhkyZEsiMupQ6a2ZcUq+nK7n2WaIjWoN536LIDu2H5nCqjPUexCGP3oerTp7HLudYtyb3X3BRF/qdttl7auupMrmayvMZ/Pn30cvuQQGEH4c5mMa1d/hZu3mfeZ5u5ehNHeiD9U4kSpU3cqHL/9YaUohW11E7xmMkJodaEmouSGvCclrsWvvGYedF6rpq2687yz8aCURCHGtp+maeblkTrTV899vvprG8WnXppg3K/wH/Afz+HtVAqnmM86HH+4InZRmODX0f9GtQRUCINEbaOAVrBhperxr23Wn/9R5Qf+5R/8ndj+IINAEI+Zp2azJGT2G8tkZnr+PBHsJ9dGOhSY90cs3m7wDAhhAkSoS/q2V65+24/vs8D5/b4/p30/OT56oeOzqQo14HBHpubE/ZkGiaoqHto6Hj6HkBEpnUnEHBeaeVzdy3mzWj+87SvYZmSHH8A3quRv7Y/Zvma07rjjiNRY8Z50FTVlykZeBamJrjue9X/PCH75GWhK++/gUIXAaltWY4Rr3VuzpPQkSKHPWp6UA8xwnLwmXIhn3vLwA0gVfr2Wx4+8VbnO5PuH93z6GQtXLx71xFYYm2ANhSysQFaiUFOmgCcACWRg/lTQ9mgYtRYdCf6tGLoqxowrN6N4+MU0feSt88sY/mTCqItHpq7jN/rdbaYIGYwaxel9w9ALFQT4qK/+nvo5t6dmVI5j4cNT1v0TIf7rhVgO+WM1qC1aeUEwdm2vletVZcr53wwxsiwqQc+Tnx19HPj66vP2NiFsVhXsO4matntF+DdXhmU3ZgNwAkeWIxBdQaBWAylVRrLJjQODneBLATeiGQlSxghfB2zuexvvBoXnXTfNbtecO2XfD8/CDAsAz1rT7XiNiy6r2WAIOCfb/idLq3zeXyeMG7r95aCFcVYiwNQVJZ1QoXvNdcEBJSqKePTyAirGcGXRbeJUo9K4eyaZaC/bph2zJOdyvANmfknAEQG99i6Aq9WntdGLhamChFLAB2AJC8zVbJSJDqXgwAc35nATW+FhMfrQCAfd+g9eHiEhChwCowU22tSKeIJcUBZFoop8gBk0HOKJicgqPhsAqINOxW5eVLXjD/2fC+S66kl2FmvBvy1R1IhBC/uReLAXJnd60Yo1FMvuv1X1hzn3FsWKttlLm6HwFjjU7PoOuPJ14utj/U1owkSj2eNmZRkL0IMcMiHFgWJTBJ2OzbL9/g43efsKwLW+prxSYGFiJYmDn03jr3qe/xuRR79l5O++fsOROuOePjHz5oJ8dJk7V4tC5eQxvWtlPkbby6Dh0gVE+kfH0zN0cAoF/OyZLpnG547nslgMEddbTnAiNgmL87aibXNJzT3++F+8xg+HYMrh/D9/74MBANHs/d6C3kLxoIPaLF6xqDHhbgjFN8HX/OkbeSxx/A5ZoqOBWwvTiHM+FZcGuBj3/ZGMBYi25qkwNiDJ/z38VITsmB2EDGQj3PI69N9XjO90c/RteZO8/rZv06Gsqq5bLGNuvATEbKZGe8n9chtap75Ovt2jU5JURpIZrOofrCx4/f4sunr5gs6Pv3eHj4HmpUMGOGjM/Ok++L1Pbk8o8Bp/UOpXSGeMtv/wsofq/bVEeEu7d3AiiahKntFjOuDwLywnHImTzcoWzHmM+ifw8bLl4GnrNlYPaKBbvmKEwCjXk/5l5vLufIbZpz89/NRcP970cgyawuoYeZ6ndzKJcP3fIWd3/N2WM5z1u38tz+3o/px/dcIH4hipRVSDFyjmiMTDxykP80P4ejz2wMbh3Y+OPLisYg6NVb4gRxmCyFehzQrZ5W0NqFc/dj3NwGyQOgHqJmcf6fGZsbDACx7JV6aGH1Y5qNHGqoUQDylxBI/xZbLQz0Hj48YNuecb0+Gfirkm/5kxTPF57JvnVWO2aO3Wwz8BbSVqYaqoEk/7KTmeVtR82Zva1yXEwR690J53dnnN6cAUAMcAXX5ytq4ZxlSFiPJz0IAjBjCljOa7eoixdSx9BqRdNQo9qwnJPlZ9ZcUPcCioS0BNy9PSOGyKQ+ka+ntelKzQBB6oYxMQwA5I3nOQij+H7JNrYYuVxKSr2siZcbGlLrZZjW1jxMGXB/z8DEX2OW1fxz/N6u4faASCS5maN8M2IVYtDLeanHYWFzn+ecVL2ff53nfWR+r/286XHajsAZEXs3dX77XJDNLYmsXlI0sKfP3JPBDeOfZHZcEk7nFa0yU3OI0YAmIOsrS3iZrCP1VJS9oOSCfXfGBz9G3Ho6iQhPlyueHy7gkj2uJM1fyMr/b70dGljCqBvMx9+snXD7mT9uBk8KHPz95+sORq7punq8hljO5ELqeZ3PtbSWCVz6e86GliZgl4144gWM4fYfdS8nAClldQseZ89dH5ef4z4W678bU3RGt5RYvqY1SVmo7pErpSDvedBLbnRSz84fOU/3qOa8P0d1ktnK5UGc7mlRclwtKsY1r0PePMcwRnCRzL9fl7NcG3TPGG7uOXNtDP3WvFtjxe46mtffbmqTeyNFUD3rOPTY97sKmR6BF4gxCRMhpcUM2/qTKKCUHd/97lvEFPHVz3+OGBOW5Sz8Bh3rpDWhFE7bgewRCjgpBOS84bo94+7uLdf6bCMnyZ/bXqlnkxflelpw9+4ODx8esG87h5ddd0nm5vC3EAKCWJFjHF8mXY8eFLbWhs0wxTB4LT3b3Yt9cwvdk1PckEmA2LLUxhchhtFCG9w1X4JWCjj9T9ehw9/VEzpYmiYFJICtxhrWq9fVcen586ZjCpFjswWYRE4t6jZOtzmV1vOWUoxWnoTQxxVCwJL4WC4/JNK+NjRyTLwHQoaIgCnRW2m9WbA1kHNkmXCrzcIVvKDRQsq6Oall7cb6Nlvc1CspglqVp3mD9uBVN7/xQiy0KI5WrmG8wFCP60jRaK1ZKGedQ9AxbsivrbXG7KzXp2c8PX0ya2CrZVBEAd04ftzr4TfCbb8MBoqyZyt9UgVgAkx0wuFDbC2NgSy/j0E/cPn0zEphY3IrQIwWtcswANj3HdhZuYurpg0I6FiSgaZaeF2n0yIbFxAiexR9XTCCeAWzlDwpjTfHWLGI8h9jQEwLl7CovMG1UrBdmUG0JakxmrgMDN+/cM3N64a4sKevlIKy78xmXZW1mvubbP33HMNIzqqvefSfyR/r7+r4XP3vWu5jbn4fsOu549T7eRTCqs0bMgGWpVmZo6fr31jR9fOpb0f7yzy2OddcS0WpbPbGUM2ZJyJEBGy190/lddQ9iYhZxGsFmrO5UBtqL4dIqHUylAUN+0u4PD6AwglpGfOl9HzNZ/L7cykFoQrJ0N35ZuwHjxqBCJfHC/brJjnVL5dJeI3tJTAJqLI/pXtM+xH/Qoff6z7jy2v82Lvm/uiL5+AYD1bnck7cd7rNj5tyG48A5/z3bADiXxtQ2iGRHhucGThqak4HRDQyvgoxkZbe8CzxRHLsABIx/K6g0us2NRcm/NFyLY4wqKENY76ZC8cdwWGnPfJKdZ8bXUYMDbPAMcDtnoEy1dZaQaEZSZCP8IoxopLuB3XIzeVIB5XpQGtkXtgjoKR9Pmr6PPz4js471o+AVtrte/MZ54JOSkqcM9kEXNZaUUO1PZjDaJPMdRD2ezFyy3+fPn2H9x++wNuv3uLt919KfufoOGHitI2jskhSVMCkQ0mIg/b9CiLC/f17PD7+gCYpPn8J0PlqPZtaPzCpVbRw+FnZlbGxh03WwrlO3RIliwLjYrOXZXrJ/DFH7SgkS4HYnKfJx3el5Oja86KfrXreyuP/dWA7Widnr21wQNF/PrdcCjZheDV3u1iKPbmFekeXlIZrNQNeGJgMAbh7H8+rkRk5D4V6Oi0/iwLWJTG9tSrlpd68PMHyHuMwl3Zfx6gXQjBWu5csfHPzYUic43FbRH4GawaQ0S2c8+W9wLbcBvGCznkEdp1JSfOe0sFqi2nNTfPWioZ13t7jtbXWGp4/PeNyfcT18iiREJLbWAbLwx9zUflRkfMmzLbsneci9Sz04Z6Hyqy0Lqi1E25wHbTe17AkVla88oWGlqsQEDFIq3vpiod6tosCTg5hDSkguVJAAIQFNKPumkvKMiRfNwn5FUtyYGs7E2gExJXf/5wLysbeTt2kr88bKBDOb+9w9+4OgQKuGoqL1otzt4bz3QlJQm4BYF2SYxfsyz4QWZ1NnXIFnjPQO5K1KuOVIdYb1LSO8Nz0mH7P6f1ANx6+BP58XTwzKMr4jkjcjpSBUsfrH92r1FvPxgxaf8q5RN1LO9flTDGaTFajgMlp6gaB2hh4qpfecpSIPejLibkU9svGFP76XIm9DkUMHCbTXZhaE6ZjP9biyOp4jG1gPH/4/oH1BfEEvEa59lMbg7gRaHZdoXvuPNAk6mDjc8r9cJ8whvwZgQ3ZCfbHjX4TxoijgVl2eh/VIHwDNB0YMA/rQXTRnHM3NA1Fk3/sSdRazP09raWDpyZCq3Uhbp97b2wHpC73UOY9LpG9/qHnkFYx/jXnrPAAxM/FUc7qMCdubmY+ivn4I33Nf26eYPfs1MsZoq61Wzncx9AZbTUtRIV+VBZiHd+BN3vYJGwOQzcitLEOp9eN/DzEFG6M++ZBdbme/vyjOeOSXVHuzzKnFCYdBIB1ZSPZLnU9tUyKYQQi1JrxwzffAgB++eu/wfn+TuZaCQArrleuo6n9rMLUjtZQyo4YF9mfN/OOEsUX+/3Htlfr2YQIwta4vkx7YO/Bvu0IKWDNqzF43r09Iy1jyGWrDYjMuJcoWmgQX/oYbAIjgNI2exI94Bs8aO4cVUpuh3UMcFVwvPSyH33vlSlVwPSeM7j151h5g4NNRD/KtSJFrnHHIa/8ufd06jVurfAqyNzfoqCg9fAr/S6mxMpPrQAIjSoKIIpOzycpVA6tVvN8zp4/X1/KC0y+pQgl5w31lkL/otp1iRAiW+EGwJuC5app7kEDTCXy3jC7pu+7WCL5c7fBVmfprH3u9RpqRfSFqn1TVtGX7qvX/UtYv/4ttporLg/PeHz8gCLMs1pf08JZfmJ43bBpyk9liVtwQoicX7lvWTYEl2/hLKdaeidnoOw7KEYm+JHcQJ9PBVFQ1LruiRECAocgEgHUJNSVN74QA9a7lfNEixLxRCEjknqvC5cY2S6cl5m3yvNTCmJMiAvnloK4NmwWz2eIHGVSM+evNGEUXO9WXB4vuD5LkWrxVrUGdbyCUkRaekimAkEFNmq08lEZrfVIhiR1OO1dlkdnSu4kG9TwdZU80FNKxrCdXb7u5/YDoBPyBIIJt1x5byiTzNGWxcCgJEZbLgb0ZiWa79HlqR/7rBx6z+i8lx3JrAo6vJ5+FimgUUWjnkNq15H8tMBaHWi6p2cWTyGicWYASm6mAC5rwunuhKePT6jXHWmJuO4Z62lFSFL/TvczZVgu1UrlkMjpmXNBn5GNDby3ffz2I8//vhkIOJrH19z8EP14a5E6gy98b3N0EynWwQVRl03+mNFjeuDItOd06yk6eh/G8bg+zp7xyrLvyNhi6TBHtTtbG6OL3HU90BmBC25AbvO/tw6CPXDs85O6128Z60TWWjtjvAOk+vcAhkAGar1XzpM93c5fk5rgYTAO6JwNskMfpQq+iWjKrwuVz601wIV++mehHs4WSJxHxUBiRfcOM5iNqDWghkmvaa2XTppkLpGEGecqjLNybSpuHYruVIULIQTUEEB1BPXafIh2mPYjb1QJIUIJyDg9R/aa0x1CSMj5eXJ+BaupCbCMfXj4AU8fv8aXv/wSFAjXpyuXCZMIp+vlkddQiODa3ryPx5iQ9w0xLtbHWgvXK44Rtebh2f6p7fWCTUDCZYNtPnnbZePikLD9umE9n7iY+YFVZwaJvRh5Bzq++c31x9psLVGgp934XMhTILZc2zgJNxT2+rn1Hbcg01/vqNnnquC2MY8pwCstfXNgK3V/sSpzN0/XlnCrNuYzBQFK9nKDreZeiVKlRS3iGq7lc1k9Y6QqhrQAeXdKpTC4eos4MIZ5zGC+J4W/bO05JBUQJhCzuKEDVt2w4EHgQR6A7+shKK5q+W1uIxwNJP1abv25cBkPRH/MMj2MmR88/txaTP8W2/X5iufnRzw/Pwwgs7pQlj+21VbYCoCIVguKJOSrcpGFPZbDaGvP2dW1KeFovDE11Lzj+vyEECK2y4bz/RnreUVYmcnzWipCzDjdnwS49eLiaP6diMbIHWOXETHqcYR4CshSfzYE8bYRASD2hjZCdYa5oDmlouCgcbiZekUpBKRTQgwJ2/OGy6cLnh+eoayJqomt55X7kAuDFuqeSv+++9xD/w40NHhG0YGt28nHXuZqzKtcNC/aK89KfIFb0KbXLQfvD6ETpOm1/HumJUZGhYtTB/acb8qivMQXANzmQPr5esloqnKgkRoiJ2MpRqI4lU8xSKhzrTZuTd3Q8/RzHbMyAmv5qhSC5OCTKb5pXXB+c+Yc41wQFOznjPu7e0gn0FrDej7xd1KIPa0JVMj6ov2dCfK05Vrx6btPAIDr9mykTy8Zel9bm0GZgsIe/trrPdrxB4rLS/OjwK41JriZWUlv+zOBQ12TL9R+9vef97p5zwRkLcTb9+GofIjNR+jX0PGrbB6NuYCai/n+fF4UIwgCywIDiujvqycWYkDC99F6j1oLUwEjOXSufTem+dANMC8RH5lecWQoB4bwXTUYiPI5HOuvy7rfLRDnqNg+H3pNVJjMIUmx8vx7tv/NoFXGrnNsOnrs+2U/fnBs3rRaOQJIQ5n1eq02hJWs5IpeCxDDSqk3gLLfn0mC/NpC6Os6pRXR1dusrSJRQKDIbPVViU0rct5Z7/Bl1YjDYT9+9wE///XXuH//hqtwiEPt+fEJ1+uTnTc/d+ZJ2LAsJ+S8Yd+vSFIWpeSdjcXCYPuntlcLNrsizQnBIQVsz2x9L1IPrgbZiCaZ+FNAo9LoA11pybXYOX4jOyob4vs5v4tzSK1+dmQVmo/35+h3ak03A5Oy3B5sBoNMFzd9EeuVB5qmxIk3kR3yzts45WqyUkGDhdw3Pd7XxVMAG5w1HKH2/ki+5l56SJaen0Iw0FplviICsEzAuDihVA/Y0A4sOiEElNZAogDeeAbQbqytukENQj4GxNCECewzigvxqprpufW6as2vVT2i/PSOjj26NjBukEcJZWY4mMJ69Gc3Xry+yPznh2c8Pn4UC181y2OpjvH4yOhgz36stelZ55oYUfa8IVC0nBsmcShmDKi5gBa+h5JC7Vtmi3Qg7E9XbNszQuDSEGldcCJ+XnkvCIGwnFfOkbxsTCwUO2lEbRWxBYTEQDD6UhTy/gHgn0RISJyrvRcsK28jZQdO97whWY5h4DBcJR1azoT8aUe+ZITEFl02BkbkvGO/BBljQq0FIbHHdjktN6RtKQSclgVEnOsdBPwpOKqtWe1cBYZcyulWfgZqQxi/PVb3Hi0utBPocl/DnTgk6aeBEG+s8vLFg5/SKiKCsbxmiXZYUgIEcKonW+8ZZR/SPEsd002e/nSvJjEUtQFVjtOczDD/jW50NKUuBDBpZUPVeakj23gMxDn5PqdS9hXPdK5NORQgsnk5LzjdnfD86QnracF+5bWet314/+wd2jOAZHX5PMDUeffGSp2vy77h6dOThJ493bBN2/MPL5dIew2t+bXs9jFTsP3a1VSTGKb94Ais9fP1j6NwVk4VeDm88yjPcPje7Vk3nkSny2DQx0kAAMoOSURBVMx9tc/jbd9n4y0fN5L7NAMien4b5jKYQlbs/hXVwAZ7u+jGM4x+NQNAtVY0BZB88ICk1JB8aAgTcHczdw6MDnNj0VF1uI1eZzbMz31Xg7R/Dnwdlj08OUBAMIM8ARwFpqqJC2/thnlZV6Gzvbbay5kEFzkxNw/w9Rm1xizv690qda7RrynlvGqtLxo7vHHDPouTsT/QcGxKi/RfMQV7VffMmKWhIYYkRu5s4a98PQaQbHzO2K477t/dYz1z9GbeMh4ff8AmYbgh3OokhB4+G0LEvm8olHE63fuBHY73p7ZXCzYBWDHnZU1Y1gWXT88oMWC/7LieeDGlJQ5J3ZbAPr0ko3LSNy3dqCy0Ce0GpOqCmq3D/XojGBzGIOt1AIvusxfH7kDm0BcQvAzV/s6hrHwPx4bl+u0Bp9+M9DpzfmptTPHvIzN0w/ehbresgHKsC9kttZkim10OVQETgXilLMrGFsQjUGoFtd7vvZRu/fNWzHr7zFWAzvOh47wRvlN7yaKq9OKzcLLr1G5RJGInjxfm3iMVQlfuhg395prtNiRo2iha7tfwlr3Gf9hYZ0via/Rsbtsznp8/moW01SL5mvnmWA+2j56pHqP5EjrfpewI0eceMsFPDwHic5U5OEsOGsWIsu0oZQeh57sVYd/cpOZgWheUXFByA8WKJJ7vkbU24HResCxdiQ4pWt1KDo+VcMfzgrATwpKwrok39gaEJViuEnecyX4amKgCjVm/t6cr571EBs4lZ9TMnseYGu7ecZ5KjByyyuG9iTfdFEUJ7Wyy60HI3iIgrYmX0IOc2aCkGTBQuR4CVhv7qDx72bcmBt0+nHaWHUcGvHl9zP0B2IAWQnCyj40US0o4LQm5MGNtB3Mvp3kcqUV0sDZLrZYvmWKYom1uj/fRPkSdOKm1ThTE3swqYJ+94zPTby6c999qQ5swnBnoasN6XnB54nfk/OaM7XmTgvTMOvvmizd8juZpBrI8UF8XOx/uawyInx6fsV93JgW7Pk+TdgyiXmOb9xDbG1oHCRSDKSTzuntpnzxq5on7zPk/NvcvvU+eD+EICKnhfDCcuGvM/dHbzxEDA5jyYZOl9vny72Sg0aBOGHhD9NhSyiBTPUgmuk1p0THbvFLfw2fPrPe8mXd3BppyTsll+Bzuzgym5A+nAtw8k9kTYscBCjgV5Fs+a62gKP1vR3pSQEoJPioMCIjUzHsctDTflKceJfXC6zMAR0HmLZvhyt+ToyoO9n4H7OdzBuOEAOVZh1uWVcJWK0gAXwjJSAht3qXDqj/UWhBCxLqecTrd4/GHR9y9vcObL97g4Xtm0M8CWvvYj/W07fqM891bLMvK8jotyHnH9fr0eXfwT2ivFmyG2IlcQmLGqu3KoWp5TWgSmkMHCkhfFBi8l2prGcObMHj1vHV8JnGouC0Irs1v6h5QvnTcS9+/1BRk3tTW1Bd8ApxHyo+dM20qo8W4h7EdKdq+zaCpf+4Eulw3i8JYJESL+8FAEpCw4iChZzEglypWdHmORKzkoL+0S4xCbgS7XmtiwUQY+jdsEkrIQwQfCjID8SP663ke9eeLwCRwvxXgzZZkP3cxBdRN5uagqDMwelZ7P/qYND/zKLfVgKbmZ9Ym1r5OHvRTak7+tbXn5werFdnAXsBSct+4nDzgP1/QqNyupt5N/bfvG1s4lyjrX56tGE5qqVjWhO26Yxc5FlLAel5xfeR89LQsCBS5NETZ8eHbj9DalLUUoEXLcWy1oaDI5liFgCUhrotZsLl0UC9+jRABdHIH0C27ox+/frbK/GiqQikVed+xXXY7znJwiLDnAsiajDGC3t+hZvagUoo4vzlz2RQKA8DSpuVOtEvRiEZuI0uGd05BtwDNFOLhc51lwpy/eWScs/sdqIafU85V5ul9lXyNiMu8hNCZas2oOY9ravpdmZRfHcss+61/iUOCdf+Za+tpixRQJgNa97DCDJIcSSfGFqcoFskhVsehGfgk1SDGiCzs8iGSRQAAXUHlEMMCVCHKOjC+6fx643BtDZ++f0BrDdv2jF2Yoskdp2zTr9GwBsDIdrRMh2+tNmN0t+8mr+FgTHV/k3snNW2EiAYvz3gd+4ON2e54bxwe1tm8Xx1c1/dt1vmO5JiCQLicR5V5wznT3noLKlyfnI6JcGwIa+2WSXaYTyIDi/4zO38K0+e0ndt+K/i0a8Suv3igrtFfmPU/8zZ2QOlZbH2/Bxkaqe9vAor1d6Ab2xGCGHkP5KnOY4BFz7ibgqgNzqNamM285W5sIqdQ8/359H3bpdZzxHa52v20cfmYDmBH9lcAoPGZv9R3+ZwJeiKz6nrSzdbECSYGZgpQo7bmXtZacD6/QUgB16crtucNp/sT7t7e4ftvfo+c95GTZupTI9FFoCk6rEO03LCuZwa08c+Di68SbBIFvP3qLWKM2JoWCCeUvWAnwpor4pKQUkSS2pocsjEKHv09iAXdW6Q9iY2GNRzlzejDDM4KPypG/FPlVKljDqc/Zv7sKNx2zhGavY1z8yBZ+2HXcudoDpH97QSizVdrA/FGdFZ5u187rmsmX8L9yv2BY7edc48cQGalrCEGyeOKbL3OpQ7Kpr9CBbDEhEocjtv7g0ElNEFVe3kQC6UFgexBsDHCzou3AHKop+UEP5MClWHO9TjtFAsht1mC4IV8a53FjiD5nXWe/27hrKUnmBtxkAIgl/ivmwxfv3t4NaxE56a+0pzN56eP9nsVj+YRMdAfU+h9NLQIeG0NIUVhEFSPJ6+5tDCIbHXDvnWQBrDlO4YEkFeEGx4ff8C63jGJRNWQ2szlRRqwXzaWW4lJiVKKXJ4kMgFPSMkAH9BfvwGfyZr0n3llRtenvn98nYhliTjfncSw0ZWpWirydcd+WuxGaV2RN649uq4LTucVKSYsEgo8K5UDwVjTkE8f9gpEGnPyDay0xgRAU4jkSwzket8lJZTtNo9SWU97/uKtjPZ9V09qkM/m+pkWblorKnG6gN9D9Ppt2h9esrIfcRLg6DM5L/r+UDc2qNfVDF+hG/fkhIHYbZij1m5AOCvpWscwDIQpp/sTtssmciyg1h3LmtAis9lC1lPeC5aTU1ynufYs8ebRqBWPHx7RasPj40eLXpjznF57Cw7I+cyIgTX9YE6P3pHWmvEjvDR/Hoh4/gxjFvXXc/mI6g3V+xxdd/57Bmf+vrw/6rEKxPp4qRPGyv0ap+fo2DVKrja0IPcRoKrA0lplea/7qX9hq1zLvkMHjNo/3ae9V3bgXwgBrRYDU63p3DpAJ9csZQSmAG7DiIk6EB1KokQXfcVC92gNHH4Wu7zTz/T51wpoTiv/yvqGL4uiegiFYF5BoOu16mjSvUujikIKg+5zM84QsF933muWBC1Fp7qTNyTo+bqP+aixH8sr5mMIVUKqY4woBRzpJM+vpyUIUU8tINmfogDAGBPO53suBdOYTXu9W3F+c7LwWa8bdD172rNCxHV7ZuAaEtAaQog4n9/86Dh+rL1KsMlWAlagtKhziFGspqzIne5PTKFuC7siVH3J9OV1VrKJEKbUavT3tyGonWBCz5nDbvux/FPBY3TCyBQHCXVVBeUoRJYVKAWW/Fn3sh7n7Ogxc198fqgKibnepik9fs7VI+IUQH3VDLCZ0tW9jGMNUAghwzjvnpjJk1so0CdiL6d6OFVZzOIJNcVKFUAiq+cJyTcqrecizGxt5BQroIefHFn31arl22zA8GDOFCER1IP1y+WRjgAFnJCeIuA8KhQIaDTeNwA19w1fr6utTjkdN4rpFO5StEyG3+QNOL++nM1dak3VylZRJQkCMCjmwO2m2udU/oaGGSrlfQXRYsxwyqzHz5zzzlrj0FM1EJS98PorDdfHZ2zbxeqNEZFsViz3auI1vZxWpDXxNTPfq2Q2wp3vTjjdnXB+e8bdmzss5wUxJYTY5UN/DwPnKDZ9dwNKKONqb34992sQde+QZyBtsaE2PTah3S0omVn0qpLGnO7QSpV54KgEZWhtjQzs6H293hmI8zv73/1ZWR9FXi8xIomRbAaY809/LQA4ryuu+z6uh8Mgt95UadFrFZlXjQ7RGsY6Dk9+pPuAyjpfn5Nlv7cKkMl3k+nT2o3u/Tfw6z7zz0y/i/JdFeNblveDwDVgc6msKDrgfBSOq3tVERINrYENwDzrKUWUNaHkgrhE7FIaR/u6nJchz42oh/5pGJ2vU+r3Ir3Gdd9xebyAAuH5+YELntO0nokw5zy9pjYATR1zODCk1eZ0JT33tq72zXkH79HNOxZGo4fvi32mQHQyNunv8z52ND5g9CS67o1AU8YLAHPtSx8y24E4DBSFEIDY3yuvN2iql3r2tLUGkMxvaGMUgeooCnz4Av1cZbPXOdI8Q9NtCMZ8Xw2Ejl6vI7nnU4jMy+k75TpvjOeOePDIGGDfKRg0MN8GAkUGuhEgBpdB6n2qATwuoxFfx675s96LGFN0ALEC6CXcdC7UcL9dd6znFetpwXbdWV6XirRE7Fu/j+pQrQtZGX8nOpvnoJMEBQOCKa0o5VlCY5V3pJPc5X1DLjtCU48wg8j7+3eMZ0T+7deNCdISh9deHBPtOPciL0E9yrNxhNrpdCc6TzYG2z+nvUqwqU0ZvriYOMdm71vG+c0Zp7uT0UYPi0SaV4zsM08+gf5+ldrM8+nDaOcWjwS2tKOw2DnE1edtDrk/oljo/bX5fiRn9fEb/0vKkN3LWdI90H6JyU8VpDVF6wtbr6vNk750fpNHa5ZXqVZ8HY/vo85996ba6fKzSW5oQQpcsmYr5Uax1GN9vxPFMfdqzl3Q82oXpmy5JEcKcDidN/fTc1+yyuqafKlm5u3+LYA9BJ6f2myD88dQIFDtcw50a+hLnpujTUK9mmbdawygXmMYLYPCZoCwNcnXnJTPz3k9WDkdwyxn4d2EdEA3xSAhhSUXpCWh7NlKnlAjLKcFwIZSNtRKiHE18MLrHUaUEKSOGZGkGFBETA3nNyfcv3+D05uzhKcucm8Glvb+ObBMIIDkeyJEjBuYhuT0sascGPNZNfyU33fZ4FtFpIiwNMREaJVrisZIZr+5W04sX2z+O3glIjMEqnzSUiUdQE3M2OId5Lqc6SYCZZBTbk14wyBfl8Hqbjnl3futToKm/03vWpEoDA2JrehKj95f58uT/2g/A5GRqFk+pDNU8jhEAcJnhJR7Pkd/e0Ofb7U1RDGmKujUsi0BQFNw60iDZuMhAFBjT5qveaxjDURY1gWtVNy9vUPZNee+iqIWTQ4ryFSvWoihG4hp3Btra5a/+vTwbAyfT08fBGwGW+uDckavlCBIkInf9w4BpHoVNVQAt5wX/h31ez2ZIWGUCbavzlFMHoS6Pr3UbvY98h5Ld+7grTwARi5vqYd6dvBLg7zu5UD8vf0e76Oj9P6ozZEGKbgYwTHvH+M1h58HeeC3c+J+Sh+Z7XssB6JjmZvpbQKifbSA93QOBgANhXXP5cgoYOdMIa3GQak5pgiiezdo6bhSCpPNRUKtZMcS9bxx6jdk77B//wGAmoXhemC6XTakJeF0f5LnLzpUY0/qVnsu5OH+3+TJuDEA6MZ6CQ1OKWLfmSjoenkcjAutFiAyeZAPrdW9PiWuiRkE5yhz7Q+//wFvv3qLL3/2c3z69J0jQ5oBJ1mIrOpv2/UZMS5Y0opaK/b9Yl7UP7W9WrCZc8Z+3XjDVkIJWUB37+5wuj9hlWLlrTDFe2utF4uGAjEXauO8Tur5tE1z2ry8wjKDT32f/It3kNI39QM3x5mXZAKZfNwtsPqcIDoCu0fnqIVblaA6CQ891pP0qEc2aghHw8G4hYVSlcRaBy/nkRVyFFpqtVNA3KCAUz0VPdeTLHzLKz0a8tbQCXRmy6lZ/cDhXUXzpbSwsHn4en/8PN7kcdZuAe3jcIJ6ambhldCcmostPQqBQ21bV2g118GHfHgPkAexpkC4Y0zoyRr3Y9J/NRcrXP05BeCvtdmYBHDu+/YnjXN+lzpJkCrgzBrLJZuYuKwIiVWQ8CUjDRIDhClhiDid7pDzJs+hYl3OKHVnVs5aAfR80NP9iru39zi/OWG9Ownbq8pJMFBtY3jjDeDyINR/x6LR5k6NdAoqfA6iKqaaZ1iqZz8lUOK/Q+DsbAJhXbhOZqLQgaPcz5hniSMdiARMCqCcw/z7/HUw541hfmyzkjSkHEgHmFSnmSy5WQMiX7ickwJtyQOeoiT2kiU1gHBOqzFs+/vpPOqZMTBzsF3LPx/53QPfuV9y8A03gP5+BDz4mi40t1ZEAce5FCtpokZKzgt6QSEWeb8uXTUZwp3FE5Nkn2bDH78v1SnqTaIQsPXx+1BBHtNtGPHD95+A1nB5eMbT0yf40gJEHVhQCPjyy18ejuGvvbHy6YxnNuZxzSlIwwCMQmdsNWA4XLzv/XEEpSx3JkCrv+u+VNthaOJL69I3rbs+tHos3xRE2t4dMOiQ8/E2JxoJ0tqwH9q6cf/0RWxB+uH3Zu99jeLgcKG2IRD2TQy7AQPI1efHnjMmIGzGUi9buTNit9o4rBQwzoYj3epozDa3yuYv0TckJxHxWGptvQa4mxPfTMdDuyGe0jnVv9mIJKH6tVq95hBGA/jRILrxgfsbQ/d0lr2YY4UCoewZ16erYYa87WBOPa4AoBFuAaxntRjEINydBUT8HHT8FvotQJSIsN6tuF6vHQgKiNb5sN9N/63i1SSs6xlRDGrqZS17weOHRyynBV/+8kv8/rf3QnL4sk6phrXaWF5fLo9Y3q4AgH3fXszR/6nt1YJNXjTjYi254vzmjPt391hOC+dDiUWdrcIzwBotq6wkdFAEAHspXSlxnrwOpujmZVHLsv+82rl9DAoivSIQiWuQKVHDfOxRXuiPAU29rw+ZO1IsjixS3sM5jKc1oci/BaK+H2xxZsGQYgAkFFava0IjsBAEEQNROT9SQG4VR0MrtYFQB6ViLwXR9Vk9pf5FCgrmtB28Y9WEnQeKvCnZJmxWqH7eUDC5Ysg5YQvlOI8DONTP3DzmvTDbogLXyGGUvnFe3WgtHa43KX4hch1Fb4mupTEF+cFGwe8Ne/xea2uoRgxUSg+VPNp85/d9+pI3mdZBJivI8QasqzIQlzTkxbRSsV02PD9cgLDifH4r1+Ji1ik1BOI1kXMCUcB23bG0hrdfvcWbL97i3c/eYD2fEJZgjLDcl67vcTTFGCbXDvJxgC7nDPiowiKHemDnoyx801xrvXqyUgCsXC2RoyU8KZC3wCcAm3oVReFJRqTQDCz486NT6tILefVHSuxs9PO/z+GmM0A8itbQOfKRHVpLeYlpAMUv5cKr0hAAVm4cCJ3fW68Y2+fukr0UzK2h88gzqvdX0BlkPAo6t33HpiHBlRVsb+gD2BPcGsy4oPOSSy9dwuUn2CCT1oT9unMOMiDeJ+lrjIixv08c+n6sLOm6ve47Hn54RK0NDx8epC7dLRghInz55S/xj//4fz283l97a60ZYAgHeXvW1AIhnk1yMmDWFeSXPoc3wG3ogBg2xzXryXDmn0fApd92BJGAexddn2/G5+bD3ptSD2PBDJzWMd3FX9sb12gCj/O15r4Nni6/Jj3Qn0ulBMCY9WO4ib4avLAy5xTZqKfHapjt0D8iy4+c97iXyscRjaG33mB9025yZFkXJ+ISMVaLE2P4L88BoaiXdkxa9wOwz5Q0iQJH6BCRAU4dy3a5Iq0J5zdn/j5XrpkZoo2BPfGMJxRVNeLorwaAJEWLXLqLHzmFgHVdcb0GhMg5oqxrMAAkFCtJ5XMvLZ9SDGy6L+zXHZ8+fYs3j2/w5S+/xNdf/w3+5V8exUvavZi8h64CsMfUgFoznp4/YlnOdvyf014t2Lw+XS2UpuSCfcvI246vf/017t/dseUgFyCJt05Ag7KQArI+yW0yg6KDm5dQAZ/mZt4oKAfMjb5pCNIMIn3rIKl/NoPc+fqzcFYa+vn82YM6y0F7saZ7qJdQf9ccnQ64u1XclzHRHE3to1r6iygGqhgycOW52yU862hOYiBjpyVisOnvFYgV1uL6oOMyJW1qtfW8iCF/svbwrCMQPSspdsyUg2lz7/IMIgJyLh2U+vUIL6hViRJF3m1wn63bqf37TH8VEGnfWAFxx1JnwvNr+s+1fv1bbZq7UEtmb+OgTHUFQtugoLzwvvt6m4GCXH8KrywV6x2TR9XSWI7tBc8PF64FmCXcsPFGQRQQ44IQOG0gRs7TzHvGmy/f4uu/+xpvvnqHFOMN0OSxgGWeRk282PdbJc8bJzwjtVnz0Z2eRD5iRD8DqEE8of16MWh9TAYgMUY2jtFIENRaQwoB15wtXM0DSKCXDwkhQNVOoOeAarupt3mghPLZt5/78FovU30ESp8N3MgiTSForVkIcKB+vs9BP1LstP8+cmt+K18ykpiS/JlQWwOdg/7W17oHwzEEhNaAZTFP5zVnJmRrGNMm2rAUu+z3ufJETO5XmZfhWq5IKSFnIdiSzsXkFEHyXp9Z7yR7Bo+fnrBfd5Rc8PDwvRVB92FnIQScz2/w93//n/Dhwx9enKO/5kbUPZv+HW+1GUEM0aggzOtwloWAvGmqE0zyAXAA9IUQzkNZM/0+kAsRMWA5ONb/nHUyA4EufLZzexyAw25TG8dLt8DbhxmrcZq/4Pt5EKzXao43gj/rXjld10yk5XvRjdr2/nhwKS/CoCe4F1BzZlMiiY5qFhlwJPu1PwaCKDijejUnAUVCLf0ag6H+AKCPgFOfKbgECiAG8O4p1BJwGubbSp0sGR6gBwGc7IjS68clgjLnW0Jkx/PDM9a7Fet5xfZ8Fb6DThYJQKIjR2+25pKyDKpMAhmcvqbvQww43Z9wuaxY0oqy7Ni2q52rP7tOHQAC1vWM9XziuZTc1RACrtcnbNsFjx8e8f7n7/H1r3+Ob/7wL1Y3uL/bY+UI33+Amfj1uP8/2HyhPT88Wy06BZZxSfj6b3+GtC6i6POCUouLD53kn86qNitkGBlaGRBJ2NZnNvL5p7/fnJd51DwYfUkh8IJqFq563pjv6byTGkbqgA07zUbh/JJi7cOK9dyjptagQEyKcTjWKX/zpq4caXgewWMn7ZpZxmtlhVVi3vXF78rsracg+hdQPZTAkIPgQ3wHpdzlgWieRxOwPRsPvPXS5s3nHDhF2rPXVsndQ2MilbSkYSM3VrYKvt70zBRM6sY1gALR/LVYtN7/pefI99Ew2tcLNmvJQhbkyRr+dEKkUnrJhhCZ+a3WanUktcWUUHKv66WhPXmvkpOeUJCh9bb4+fPv5/sVtTS8+fINfvHrX+D85uxAlVfSptrCGNf+7OFk8HgkG8dcTA1/beigcj7fgCYRyMmdGEhy5RSAqsdL5oUkD5DY2KXjWlNELiQEQj2EVuVaaY3LsYTu5UiTV2AmebN5+owNp4NtR4CkjgM3n58FckEMC40B8JLS4T1bawOYnPvNfe357S/l2L/khfKg86jPsxybw2xtX5TvowMwIQSkGHDZ9ptSVtpv84aA86uKyCi7bq2ISzRQGWPELqF0MUZOoXHM3wZkcCyDc634+A3X0s1bxuPDDze16YgIMS749a//L2it4V//9f97+2BeQUtL4pxZIy8h47wwfcJF/niGdm0URoMRf3hrBA2BzCvIh9B0DbLj/PceePVzaLCEkPOE8rGjYXQGlNLFjgGK5i/26wZ3vF7LkwPNOt3cXgLJ6hn2/et6odO7IhvJqtNBAAFGUBDL/feGcFSAYkQlKW9W6rFB2vZzkdg674Es0kRD2XsNaGeUVr0yUg+pnciTYmJvooXbSpu9lOY5dUqirQchQWLASejR7hze2vZmYHGwLjUO5zVhQyzZfMQZyTrl0HwmJCp7wdOHJ7z/+j3Ob86odaq/K9fmUO0extw0pBcDtpTUmDQw18Yl4e7uDQPF/YoQ9u5xpO6csDkOnDoTY0RMYSDx2gWofvz4DX72+BXu3t3jy69+hd/97r+OYNi8s9V0QiIOqdWUnMfHxnU3X1jTP7W9WrD5+Okj9uuGuHDB8ZILvvrVl7iXos8lCxlHKzcK9eDZlFZaxTIlyHqvmQIFVWjijVB0oGESKOYVAoOzIxmgi8yHu2qbwe1sebLre2XxQOG5vW6PkjlSSvw4fNirPz+SMjvK+OXlH0ghJuCqANMz4Kqy6e+lLVJAwW0orcoZbxCIFCQk14W6Uc/h1P5o2YIUghUcv0n+xzi/w3zL5HWZpnkGYRAwfsxe0McYkWt2x/TrsBDu59dc0VLf9EIKoOJCmuAEayC0PD6neZ0MfasjILXPqmdwc8aF8PpIM1rjOla57FYKAehA848Vwt1r2K2IWl4kb5nLN/CNOWQwBuRNwKms2X3fsO9PqJnlWc77NP+NLbQp4me/eo93X7/H6e3JvElpINjxz78DPukCh2E7w8tsffe/6yeqIPmZ+SmzpJdUb6a/vrLPzk1ZWjP141KoBjQBlhF7HT0EAMu2NbLX9MfabAi8CUNFnyeTXQdyEXCGRbmGhsxqBEYgwroswz2PZPbMMu5low8Jfglw3oLpnof/OS/nHGLr58efq4BX54OkHIQPZb7sO7aczfCpfdL0Cj3OR6TEyPVj85mVoOW8GFDkPHZCjEyq8jkjssr6x+cLnh+eEWPE88MzHp8+yjsVbO8hInzxxS/w5Ze/wn/5L/8TLs8PN/PyWpp6pwA4/QiA5NPNRucOAiZPYuhla9TQoC1Esn1DFXx/LQVO87ak/VDl3etr5A+2UNByHKoFAM5jZ/2It++13bvUwbupYPTHAKefL8sJdMfO4x7OUdDs1AY+pM+Z34sVgHuZpLpLCMH4SebWSjXuCTMmtJ57OLPSR2dwaA1oYUzx8WPwQOZozDd9meWU5XB2k6WdSwQEB/5jBOU69tnfR3Wt6d5HYD+EgBYjiDgHnENqF9y/u2PWahpz3SkAKBiAZn/2cnsxsAWpmOGf1f0Xb1BKxb5dzZAxt1oL17pt1dIDQuMw6Voq11tvxUDj97/7AXfv7vH13/0c33//W/OYavNpQfx3xrZxfeGSdyn1lv9s3e6Vgs2GH374PR5+eMS7r94C4LCar//2Z4hKuiEPmHPv5AUFbGefwaEGWWqIrG6ERy+LbphzDS8fDgS8/KJ5maiKzRxe69uNcHKCzAPNwQurSpCAY/+dVyS8AuHHcgSWAxHnytCoNKiXkAEkoPZ4tmqPDIdHdPTR983e2D7/TNTjCXZgv+vfnAfKSl4kpiLXPviQr5ncqTnQW1CHUBS9VkzRSqR8rulG45+ZzaU7V8FdkGTz42cN83S21kTIxJ5r4+aU6yC2wat01Ld5beo61M1R7+P7rbkdmNbFa2pa6kQFL8BA8xBsTUrY51oTTzArdhG1VezXDXdvOUeitYYk+WhMglDESgzkvGHfd1F8GmJIyGWX+zKr3XJa8P5n7/H1332N9e7E12kNtGfQwp4KHIyB7+07Ct7cQDfAQ9/Tebzz6P3f7eB7u15QsKXrtwOwG8XPh6i2JmRg/W8v50IIiK0ht15+is8J5gHV8czzwbL8NuLEA+9Z7g4WeyLAp2dgtFB7haS2hiUlLDGawcunzb20vl5KofCf+xIq2mZg6s/z+Z6HSmK7fQ5+3o72uiDHVxDnooI94dd9xy45nX6P8XVGG8bojvXuhH1jhuYQWA5rNJNeo+SCvOWuMLtwPCLe1UutePj+gUsKpYCH7x/w9PjhJmzsfH6DX/7yH/CHP/wzPn789mbcr6VZfmvm9K7SGippDmcAtWrKPYOz4J45DQQ+AVwvlYiA0L1V7MGXMEjI86oO8A0AVyOEbuVT3+v78Yei17+8mhbi1pICW98GParcGqos+iTcRq0B4/rXMfs6mHM0ib/v/DsR3bB82+eth3QSkZT607Dafr4xXUzsuzpxXDbNTazeW8kPMRzewZ2LpJrnDk4eNwGu7JZtQ/1u/+9Ijh3NkepHWgNT+8h6UEHdFHBi8OK2agMY9Vi0oZ8D8BTD5b5l/l3q/cYldh1NxwegulQvNQAAY5h3q9UYu3WuY4q4f3eH5+f32ParnFuECb8ZZwSBsKxnxJDkGUguaa0o1zIQO378+A3effcO7372Dm/ffoXvvvst3ysmlsW1gCjYc8x5AxEh593mZt+3m0iPP7a9UrBJ+PDhG3z89iPu3t4BAN797J15NSHufi1KbU0WVwzxUPh4IqDW6o1Q0FDa7kgarVy+fAjfbtz4xnv1371l29eknNss3Hzf4sEL7HMmB8a/SRkaFC13jt7HBF4IWASwVafIqaITVXmyKXfx7F7p8WOk7hkgN68xjKEZBALIWzt7H1nm9c2ooNeBm+/vGTNv5hDBAKdeCwZoD7zVLpzWX8tyHWUDNZr+yfJKMpCjPJHW4HIkpLAxJfsspmClSYaJcJuXMqZZv6Y5BTR81CWNF1eLlKjPBbQGZff8vZbGAnjHtl//7LwFbX5zY+VKCMe2bKHXeS+4e3fPGyoJKcrCm4t6QkvZEeOCmBaROyy30prw7qu3+OqXX2E5ry7yAEDoQI5aG8Jv9NmqcufF4yDvJq8eATeq94th/sM88E/dhA0ciQyy7+k2JH++vhr4XjK2JQFwgDNwYQyDOwJVTYTKYdTZBDi1RSJkByD12NvzmoHZRoQ1BpwSl5+ZS7gcjXPoywQcZ8OZMtX6OfHHf67dAGUBf94AwcY3MjA596likoOkubg8niTMtZqXX5yRiw1dXb4u5xWtNuzbjsvDM1v3Y8ByWuycvO2opSBvu93vKIz28XrFw4fupfzhDz/gcn2E5kCDOGLgyy9/BaKAb775byh5x2tNGQBGoKXv9qy7DPJ/2jf0VzWkksirKuGbpjfUZmkjxyix9+fzf+v9br+3fbl2xd+XIIkxDErOfG4rowHkaJ7mOfNNdSMmFOwes5fakeFKgVmRKCsdMx9zm/vKxu/xPnrNKvrPbMgGYEaZYTJt7H2uSfYawIW74kCHOfC8glzNci7Ua89lqP99wCqrz86MVxIp5uedwXdEjKz/aJ6xzUF0JI16X38fBw61cVkRnkuNPopLwpv3b7BfduNU6KHFt3PBMqz/bsaH1qyKQC2sC9zdvcXT0wfsOwO8EJiLIcYFpagOwPu+6nJRyr98/P4HlLzbGs95xzf/+ju8eX+Pr37+Nb779jdg9fSEIkAzal36/TrKSJnXUnbs++gR/WPbKwWbHKv8+3/+Hd5//R7vfvYObwRoqiJnOQASpqax0aVUhCQvO7r301u+2RvYFUVlXlWA+pJlyxM7+DYAUrc+FeB9zqN5BGLndmQlmnN7huuihwP7/Kh5k74FrxxurNeoLqcVEE9ma0bwEyeBa9bmboDk60IIWkT58iVMtP8xBOTKZUAUeI7X9v0GIJ6aJKFWxQkqbaroDYK8iSJMYIppqhwqHCbGuFKnjVjG4qyAQ80wFYLZ1608FuDDvHvB7eYECkLnz+fz3d+3gr0demxnQcrvyp+eu/hvvVXJX9Bwk5fyNF96B73V3Tc2OAgRljCOqmdG3+uYOP/M+lKZiTaExGuqAcvK525XtnCmNeGLX3yBn/3N1zi9PVltQfXoxRhtg4WFCPp+YfxM3yn7kwy8DOMcvr/1wimQ1bH7+ZlZu4MLXwzUwfgwf7gtT9Kv15+TyrLW2mCkUhmvud9HXk3gtq7lUTsCfmosgykgHZT5n0pylAKsHqieXzHmj78EMDHNnwJJ3ZtsXoAhj/Oo/3r8UWkrvwV4kOlBp0bGKOC86b/sK406c29y+yuJ8S7XYuzrOi5T3IlQ0HA6r9ie+f1IS7IFRipnqbNN+ubH/unjI/KWhbW74sOHP1gRdF0nb+7f4+uv/w6///3/jsvl8dV6NYE+ZjowNPl3xwMz/1OJhOxzPVeeQyfIgRHR+Pse3VObPn/15tg9bX3dyh1txXknDWguLjRwSqfS66jO2Pv18pzNnw0/oboD3dzDdBkNLw/6HozhqzFGVOreVmAk5WPdNqCC01wqlJCIe6D3aK0hJvHKeRminsj5nSECUQdhghntmrpfqYdVwZzvuxoefJ/tes6TaHrgJPNba6BaEYrkfDrGWBlYnyf1btZpzepwJEJN12FrYOKiWpH3scyIrlnf9i0jtYb7d3eomu9dc5fdMWDP+2ikMIXWy1oBsMIdowRCaU04n99iu/4B1yvnhy7r1e0N3UCcN77v+vYOJRds2xXbfh3m8PHhBzx9esa7n73D+e4dnp4+SCRUTzW5Xp9QRdbmvDt9h72cRzjij2mvFmw+Pv6A3/zmf8Mv/t0v8bf//d8iLhHXJ34AMUUTlLrI1cqg7XPKh7bZGwbcKiQzWJlDNPX3+fqzM0u9mkRkSqP24UjIHVng9Pg5x2cYM3oobTwQqgAG6/XhizzH1MNbuMf8zuKAsl5Lc7O8NxeyQXmg34WBkBhQD3U+smAXP6mNq5ukIOy005xZKDQPxJQuZVRsGIWx1nyycSg5hSuFMoO5vgn05hVyEiWbQg/rmOeVrZ5kVjVP1lAwsqbi4Pyj1jdkwl6K21huNw8PboHXyUaby468XyX8/jj06ac0Bj9Cnd8aGwPQ7JoEwr7tpmyj9fAYrV/HzNo7YkxYlhP2ncxgFmtCIMK7r9/jZ3/zNc7vzuzNi+4ZOcUPtaIF/w7zYU73cH3vxjdgrlHZAaYe28+naU2rzOn5gzEEJzM6SLSN1ZECDfOJMcrDrObUAbEBJvB3DIyCAaQ1JfOu3YLjP+45H53rwZruE1nM2173WNLxVjwDPu+1nO/TiS1vPZZemdU6nEd7x0sKxdGxdu1pzxsiYtx3AWzU0zx+BQba5wRdMxw6Xq4Vu3hfPNOl5oqp52NZmXE5pM6OzSRB++GzVGNKDISn647HD48Wjnd9vODx8Qfs2xWar5nSgp//4t/h8fEDPn369tZq9MrajT7ygu5DbAk5VORvrjkBUyLc6FvzsV5RH9avAzm9P26Pai4sfQq/1X1N18t8b3+c7mVzyTDbh2NAkvd2GIuTZa0dhKhPdUI9E/3MmkwE0VUhHjqAVM8wXohxbdv4Jey8oiLGMF5TDUFHKUBEVi5tfpb23GobrvWSfJjrfza7DomhVfrEwgJA1yH0Gd7osjEgRiC0gJorSi7DcVo3NMSIaN7sW2eChtjqbCghEBHZNbUfMBqFfv716YrlvOLu7R1CCPjwzQdcn7r3j72K2QS9kVDJNXKuowysvMenhUHi6XSPN2+/xHW7gENpa3dWBM6t3PcL1vUORGQcNa3VIeQ1pQX7vuHb3/4ef/8f/z2+/vpvcHn+hH2/Yl058vNyfTR5qjmaWnYF4JDbdT3fPN8/pr1asJnzjm+++W94/OERp/sTdgmlYQFUESqhheMCwa3xS6b5mXYezOs/vFyq8LTWhjwcVbu9EmOKgPsOgBNsnn5fjjkIF/sxj5UHgS8Bz/llNpDhjp1JhWYAp4XGvZV79jaYstR6/U5fBHzuFyA1MqkDXgWYmudzzWO4ZgzBBIVeu0x9Zxnp54gVP2VZyy4cxD97YNwwzLtK/tiAOuVUDEJfn3vodaD85qgdokCg1gWkAolc8igoyW9SQYoKNyD09WvPObCAVoIAtTYTNcuXmdcCe/v5WGV98/f3THT8TxTov1CY6b+lVvJuLLRHXs0/FXwCMBpyzVEsZlWFefN0jsuecX28mPc7pTPSuuL89g5KL7+eFnz58y9wul87gHRaRkpp0B1rZWsxMFLn2zEC3BjIQYw03rg2NlVA9PzYhZi1IKzQ0QDseA2a3jUFFzPQmp+EyjuOyNAw3O7N425oaOBt+Jv//UZmOgOal1vjOzkOxOcbHpGzBWpGwObb7PXw455TKPy76xl5537Mn6qH1xtDj4DmoXfTz8vRPLi94OY7BQ3oHmd9Ro0I1NjYuMSEu5VDXGupaMX1E5yfm4lMgevGGVkrU+hcPNzngYfrBft153NjxKfvH/Dx47coVerbhYB3777G3d17/O53/9nC2l5zs32gSp1Nj+SkzQZif6433MzG6BnEDu9dePkdvDUWjJ/NpUnqgTHFy7eQgnn4mls3fhx27xhu17eQ+Bnr7kHUg65/NazY5/X2veD5dvIlRNnPu6e4NRgw9J6y4drNX0OcKbWhBQjIvgXgVo2hjuytYwjs+Nnnmnk1W7P8VO6nk6FDdFobAOeNLPJWudrM+6brIC0cDZJzQdkzaikS9hqFFwEoeZSp9rsLFyWSdZBkv5Xyc0RASxGt9vBrvg6wPW8gArO8p4Affv8Bzw/Pw/g0Em+o5W5rD9Bw/FAbKhUUl++5LGektODp6VnOS6g1I8ZFxrxjWbj+53bdcRLDbSl5iJrKecM33/wGv/i7X+GX//BLfPvtb/H4+ANaq7heLyilHOo5b99+hV/96h/xy3/4Ff7r//pPP/rsP9deLdhsteLh4XukNSHvmUkCDgQjgB7zrS9mEcU9qlLQfxIBm+RQ+fBVH2p7tHlrCCjweeVUz4mBzKt3RFnvrzMrCS9Zp73Q7yDBAQjdsOk4L/Qol1OBV/cg3IbYWc03Gj2ic9P76VxxWO7xWHwBdD13DieNjtTJg2D9jMcLAByuFQMhl5GUYpgbN4+a71pbE9DJG7MXarYG5Fly7seYGznnY7Y6Wvz9Pe2ZyXVU8Pln6faKbkSosmH4cbXbvAQiOnCp31oXtQ5Zc9fQ0iCv0bO559vk+M95enx7SYnXZjJEhHvOu+WmcVkHLnWCJaGUiu26W4kZIiAlLv+wrGcsOeP91+9x9/4Oae0WdzU0xNjLF9h6qRW1kKyH23qhQFea9N0+OqaPl38O5ZTcsQouwwR/vMHKn2PgYQaaNMpm/Z3fzX5dlU2zHNV3+KVm958OuVEQD5o33lkUxkHYpYb2+vu9dC8dn8ktHO8zR3vFDE7H8XUioNv+HXMDfK6P9jnajSiZjye1Xujf7pkwo3DAeVlwwY68Z1sLeS+Ia5d7OZfBe1JrRd4rys7hZSFwvrNvSr50ebyi5oKSK+KS8O1vvsWnT98KACEsywk/+9nf4uPHb/D4+OHFZ/mqm4KE8PJ73w8lUaBlHwu9FvVLhDi2JoTIxe83s6zR50JEBj5Mj6vjPqXnKsiyzxyb7twvr9MR8Z7ty5LYtQdSpCmU1YE0T3REaoRz3r6XdDf73o5jPXXYXxWcV+c1c/u/9sWAJDTqyeeOig4SYB5T3fPRmtR97v33Y9KIqrlZyZV6vE82uRjBfy/jRE81snVwAHB1jWl9zBCDMazv1w0lF6QlIcSIkvPNGiK3prUWZ63d+aTASAEb90fBeh10uMvTFaVUnO5O+OpvvsLy/YIP33xAaxkREa1U7Ps+3J+9hjR9Js+kRLe2Ktb1jMeHH7BtVywL5+2WUiRMuKCUjOsze1TbqSJJmZLSioBR/rnvF/z2n3+D//j/+B/wi1/9Gpf/8gnX6zMfW7Kw7XNo7bt3X+Ef/7v/hL//T3+P85sznh+ecb0+3TyHP6a9XrAJXhR3b+/w/OkJrYq10x1j1ixVvF6w2vyYgG0CNJWAQL1iXqCpJdkA0SREvYCbuzGTQegiNwXMfe5/fs4Kf3Sct2JrDqqG1Xpl0HIPzELvwbh6F9pNP/VcwIWWHSjjPkQvEIbNfd7s1XIUpCi7B6CDFWtQZHv+WqmNw2tDNZZaZRp+Ka/Vcm/hFHFiq7wvbTKDtNmqhkAjVTv6RkVtToQnyz/wz25Wfo/IhPz3JKC8yDy0qV98XO+vZ3i0MZVuWVTBCZ2LV0iasUsIrW8vKU0/BYCO52iMdUVtFbXmgRq/5IK8Fyyn1T5jGULI5Q3evXvC6R64u1uxrAlvvtiwnIEQL6AgYWehg8iQbsNaiaT0BwHBlUTR7+04CMlM6KVC/HAj9besKxC34DQQGWGXtgqtUzzlMMXA7NbWoX5Oqe9uCDD6YbfGGpVlN5+/8Mw+Z8T/UaDpvHrdw3EMVr2h8qVrv2Rw1Ha07l4Ci55jQG44XMPLvqP50jHN3l5vjNR8fxVHs0zuBkAuoUeyKPn7asbDFAOW6shlRPHb9myf9X/8nigDbd5ZIaO4Wp6npmEEImw5c4F2Z2z+7nd/GAqZv3nzBWJM+PDD783I89qb33NUTyEiq0lu76j7Hej6VKuNS6AMxGN9bXnAp98dHaeROt6IrECztQaUZnuQEg8NcuYgTDckrSt4m/6jx82g0h/r91AdK+D27cnY23x9SM3DfGGPng1B6jX1xFgD5wOR7cXTqzzKQgHLXZ/wuqR/3p0dVi+q1S4IHWjOJVD6EdM4xFM5gDvqQPYGGaOD41nfxQTO/T1a5eevAHM5rUwOJpwHtVY2qr7AbUKRy4YMz17XvRhLdN5rLiji/Sy5WP3Z/bojbzvOb+/w7mfvsN6t+PTdJzx9eEStEbG2nvdocr9AdzZ2wQiZpo2RQ3nX9Q7LeuI88sae3dYqsPbcylozAkXsW0KMS2eUxi5kQRmlFHz33W9wefzv8PO/+xq/+W8LrttFwCaD4V/+4h/wj//n/4i/+w9/h/W04OnTM/7X/9f/iv/6n/9n/P73//vN3P0x7ZWCTfEMxIRaKx4/PCHEgPP9GXEJ9uLfnFUbEGHJx9GFT/SfONyElYRjtiLrxupDMo/AnymDrls+HNW/CEpc8zmP52wdnAXZrBh7wOn7b+OjkRVRFU+gKzWzQqneTANmE0CbjWJeIHlCIlVqUuzkQEwQMTb9zIN6VWL6PW7nq7WGLVcskcOCKTRkRnY3jI438yaEQeqNbXVKLp83L3d/BuXumfCJPJZIIIoW8mJXcBZ823jknLIXYb3roWQWssuMHL1vNG4aNi4BwLoJ6fX2y9bDWKp6ZVno1ZplvVXgIMz0r70dsbC9BCxftFS/BE4mT3AWFjltfdNg5en85oy7d3dAa/iv/+3fo9WK91+/x/tffIE379/gtJ+wnBbEFFkxc5ulho7NfeNNVSISItO6j+GIaqAJprSrvNNmQFQVF/fO9N/52DjlvR7JQQCWu60RHkeN6NagBajhQ98xB64mA9hPNQ74d39+locKjAfZbTRK+fN9CsYAxCZ5beP6kfX1U8ZzG0FC1hffvBfZ98mDSgtL1j3nBY/mUZvTMgJxrWMCoQjgjBSwJiHAQjbA6cuXhRhQ9oIGLnVSdmagVY+Gka64uVHWWy2dEhc2qn3//e+Q9w1EASkt+OqrX+Hjx28kb6pOfX+9bTBEODAyg8L5PfayxP+u33ueAg/ibmqd154KMhrM1ag6yk1f+uOwHXhlZ8CpOtMs2330kJ+fcbzokWgQw4vO0QTQbub44O+ZD4JAaBHQMjKWxhI84GQD30t2KdUX+J3oUVV8W7kuKoZQB687shAdSISsr6qntGlvdDkMA2jX/t7oxSwRfGhv75fbr2gCtQBaYXbq9bSIR7MgrBxOi9aUp41JllyYdZedXVUMBig7oZU2jrJYUIuAzaA1LhuePjxhvVtxujth+ZuEN+/v8eEPH/D48QmtNeR9Q4PLkSXnmEBBoCh/F+tfSgvu7t5j3zfUWhAoYMs7cua/dS0s57OthXU9mZE8l8xAt1Zs1wu+++33+MXf/wLv3/8cj48/4LS+wS9/+Y/4d/+nf8Sv/v2vEFPEN//yDf7L//xP+Pbbf8HDww9ynz8vReqVgk1+OU+nO1wfL3j+xO7f5bRwoXPdXNXSYQu7ITiBoy0G2fxaJ1cAeNF7evoAsrIaBhomcKc/53qS1qfmCHjaGJqrzVPCz8rLkRLc5DpzOY+bWaNR4OtnR/DB52X4Maoyqud5L6/OlwllGvMqXtooZtBJIIAa1hSHwt+AK6bums9P6nPSa2zq897RlWplRyzCgqsAWMc+KmK9j5G4PIpfYzq2FmDhtP6ZW+2taaO9mfMQUFFknglV3AJsBe6bsKcDn5WBo+c/KKzeaimbKI9j/E6BZik707FLgWHN3XxNrdeb+ryyNbef4uk0Dxj0OVaUvZihq+YqhcT5XVnvVrz98u1gVT3dn3B+c2b5psBSQgdV2fasi7a2PHmCRFlVIQ4CxCs6RTHYNaZhfQ5o6rH63s/rcrzueMzngeaoqAx/u/4O8snJLf3s6Hqfa7OcfOk5ByI0kjDVxjmaABvZZsApF7oxbL0EcD8X4mrel8+MR++pYcZeXvvf9dgbkOvWrd1T1op6NL1+fTQGlZ1ecfTfFdlPFhlLrRXbxCialoi8RVwrk/9VCTErovzFRJzTFYR4jgJyy7jmzOVVhIAoxIBP333C99/91vI17+7eIqUTPn3631E1h3OIkHl9hrWh+fcw3L63tv/79JXAQGYWEDfvvAOxwMt7Xj9c1qJ4MP11D7p9qMvo30eye2R0vZVPHqj582eg2d8dcA1RHaYLp9Xw01kntBzLF3Q0khSEFoEgjOJURqM7ibBpbQLENHoxPcCax6n1PG9ICfVcvVcnHjFCIT+vc2gxwZUcwa3snb2VR7LvSI4AcMyyhFIqljXh+nztIa8xgnLtZHkHAQosUwAgyHoMWNY0fA+SMjSirrEHtVl5MiLC88MzLo8X3pff3uH05oznT8/49O1HPHx4xOXxCbVle3f8XDSqoBZAUMJS1j1O6xnresLz8wMakeheGdfrM+7v37OOr3npreF8eoPr9ckAaqscOdVQ8bvf/Fd8/euv8R/+7/8Rv/z13+KX//BLfPGL97g+XfHNb77FP/1//hf85l//Cft+QQjxJ+kxP6W9UrAJUAi4v/8Cl8cLHj8+oeSC05sz0hI52bdUUIo9/EGFJGRBl4qcC9KU6zFbvgblRZQjO/YzeSuzUuXlrCp3L4XP2hhfEPz+7w5iR8XoJWB5NFZ/vh/zzZxPCo4CND9XA9EOjYLSezNVEdH50BRaLROgAM/nWcZAUsvzdl40bEuHoUBzbq31OpwxEFoj5ANw73OddHMxT4ELpX3JKno0dwiBcwSmzZQCISCitYKQIqoyNBJ7rure2dgGT9nN89Sfx4CT+0DmctbNQ3NeBg9G6zkVXHCYhd/njBl/re0lYqAfa0fv5+21HblWq6iNSQniwiyBGr5bS2UvzJ5x9/aM62XD6bwCAOKSoEXt3Q17jqZ4JG48BWJ19t6EigoqkA2tGbnF0Tvvox1mmQb0HHcdnwekLyl94/m4AUxzH4huS7DM83ujUeEWzM19Cq7f83cvXSuGAJAjhPAGKZkvACBwCajW2gDqWmsWDVKHd63fW8GhXn/Or28H13oZ6HXZ7sudALe58oMy6L2aPsXhwNf3ksJo/XXn+Pli2T7WBT0ty/+vvT97ti1J8wOhnw9r7eEMd4zpRkRm5FCZpcoqdatQFWq1WoBaNEImEw+0tRqawaCNB954aOABzDD+BQzjAdoMM6x5wDBAAhl0oaEltTqrpKIqs6qUUZVDZGZE3pjufMa991rL3Xlw/9w//5bvcyMrykBx6vi1a3uftdfyabl//v2+ET4EjGOAnxx8qsv2Nkd+JKEM0V9KwM5N8yaXEqQHj2ksqYbOnp3h9OxZ7IM2OD6+j/Pz59lXKQo52Zq9hrQOYNuF7Z2yV8t9M7CkVPV7y8ez+p2vKVoPwiy1BU5qwF+AFC+5T6a4ELTaJAFtXd/8ntb5TUCTLD54PSTc997nFc7P2FZ9WZuLmm4CzLqA7Tta08TzEV/A5yL+nl9oAkkhzuKeJZzfKQvYQ/0PFEQo3kiq5vbzrJ4oCKpT1r2MV5BCc2V1HiPVk98Pd1twAUhnIWk3tUl5TpPxVTUmVyNPpRR8SAqGzsI7V+ZaBBrzPmAaJ4y7EdaaLOD13uP8+TmM0VgcLLE6jBZJtzcDzp6d4cWnz7HdXsZotXLumIYzWmc6dP0Cfb/COA7R0iqt2+32DM7dg7UxgvcwpLycxqLrlhiGXdRw+gl9v8Lduw/wymtv4o2vvIE7r9/B6dNTPP3oKd799rt4+P57ePr0I4zjLoFXm/m7G7B5Rem6BQ4PbmMYBlyexJxZ2/MNVocrGOvzRFIhzSYFzJDR6+jWVvCYyvQ0L/p0Qc0DXxBj0tpsdK8MfCHBHhVibPYxQ1ddl7+17q3AVep3qz5pKkzPyror/ws2tsJAlfHRHLkQaiCqNeB9DqPvVM0EdcZgdPMNIn0xKUhEBtTeg9y4yVSQHxrQeub3JecnhACrNcZGsILqfUvpLDH+iYBn/wgXUm4tH6VTdFg1NJcA4CYP218hHaX72TrODKokulrlPGhaK4yJMQvpgAnwKKa0rjLpuE7ljws0W4x2870oYjA0lIq5trReIIQQc2gZDYQQzQOTqTQJGtbH62jiDMZEpAjG5HPFTasBVOkDJmYaI03esskVM1HjYNAFXwAUY+Y4yNwXFE2a4PO+AXOw16qjBTRpWxFTxoVttKe5P3kL8MaZUc16Wv3hgiffeNdKKXS6AHNrDFSiO2Suz59p7SDqL88zLH3lZZutvvL6JJDn7hAS6LnGvp6Z0zLfVN4uX/PU/zzvIebkdKGeRxPja0MpwHm2Xrouai01SyRP9Hvy0LY+n5RSmZb2xsCnOVdKVfn0Qgh4/skzbLfnAIBFv0LfL/Ho0QdxrrTJeynWq3Gd/TfJZDJ+L3skz23L8mZPrrTqfbDnJF0MjglYXJjdY5LQgOfrrNuRHZprY0kgL9cOX6dyD/HPqq4UJZZoHgnoFNtDnB+s6Fymqci/xy7Xg+BBwTJtYfkuq3Elf1Sty36Qc9gC/7laxQMN0Xsuz1F6oFxnjWqjdlP4Rs3evdgyUugY/2baU/kOjAbcfO/LoETUp+B9sQJKwnwe1Mg7nwPoIfdlnqXCkatQNu9G+p9iYIxREGw6m11RbG/hJ4fz5+c4fx4tkFaHK9x/6z7uvHYHl2eXOHt2hosX5xh2OwzjNqVD0Qi68MtkUdH3K4zDDs5NcBgRvMOw22K7Pcd6fQvTNMEYi81wjs72MNpguTxA36/w4MHX8aVvfBWvvPUKjNWYhhFnz87wsz/8AL/1j/4edrtNLaj0LmGk4uv6eRUJ1xJsKqWwXKyxPjiGcyPOT85hjMXFySXWxwfoFl0CfIl4qQgkKCUK+W0q7+GDhvMMDCWNmJT0KwJjgrmRDBPQNvXkzI1hzC1J5rkPJJdoc6a2egZzwgLUzvYtaZ+cRxoLsIcQ0vdGG9V5pFSex9oloJjpeia1rw6SUMyqqPDIt1brmLYkzZ1DDcBnTCEj3C0ppyaAmcC1NQYjSc0bzCmXrrkQ07No43Nk2n2HW0sqWx16KTJtnidrYBJj5LLknknoQpToZ/8Qtj6oLu9rU+oZAGaO+HSw60Q8w24HzgpHTYJLeZl8dFafStS161SaUvg9f7/s2fI9MawhAFnrFZlg28Ww7eNugNIazkUtDDfl6nqLxWqRTW5DCEnLmRgxpZLvZh0lu9W/6NfZBl6RYVIVuOHME2euuNlsNitTtUaV98Oouk0CmS1NKp9nXi/RGaKh/LkWIGuVfRZ8FAipBcxa9ZOLkg++ArXYJ1xU80BvXLgo11Y2zW3QfKP13siysk3+XBmrmF/WJ6OFFpuByzzvzIw2zlFpT9I/3iaZ0qYbyrykOhJ/mdZYFARPE6pIpDGAGp3fZRzEhBJNHJ2D8x7WpIiXiY66yeHZ4ycYhmg6tj44xmZzjjElR1cojF9r7q5TUcnXu5xRaW3rvLHr+/P+RjahlcCMzjqgaPCQeBsOXEJd8ZwGNLSl6dbcDvWR971Ff1vpUeQ98u/MU4iIslxo3d7nQngmBOQZQAv+jkpIgheJ8XifZF/5sOg6j8w765+KZqQccO6vW1UxJoCaX6HLkuaTu0h+N8lSLT7PUppQoKCWv6uIKzHjpZUqPrpsEsh3k/iyEPbUD7AxA4CGdwrKqwJq6Z50dhIIHzYDQgiwnUG36KGtRmc0pmHC5uwSp09P0fUW6+MDrA5XWB2u4N+6j3E7Ynu5xeXpJXabHaZhSpZiEfSN4xbW9jC2g7U9xnEH7x3GacDl5RmWy0N457BYLbFY3cP61hpKfRUHtw7iu039e/97P8XD93+Ms7Nn+KU/++tYHizR9ytcXp6ld8KDpkbLquBdFqR8nnItwSYAHBzexsH6FkIIuLw8RdctsDlfYZO0m6GPaufIpKkcFZTPJz+k6G+gZjwkYxNC7etC11vEVz4PzINnEIjlhTRyvEiiSUxMSxM7YyY5KGksqNrct82s5rkRmgyKSkimIVyi7lEk1iGeVDPmxwOw2tQbHIUhq5iwEKNaAu3UKLE/QhrO+iOZMA4+rTFt6T7rQzGHrLXZMgraPBJfqgtXayTJ98AEMpmhgy9KFOsocXMhBAeezXZYmHV5j9YaPtTJkyPQjAFtKCKa89O83mta9u1pmqN94EYpBYTCrAcEIFAKFIVpKMnop9FhddhnXyVjTMy7Ok5YrGMwoJhyJ65NY1O02IrZKu0m/q6sDwEwFdNilvHEfVXvlVgn99Gm69L8SzJ9Wmvml17zri8DmlzoFtve/37knjeqDeLielYz/1Te5pxO72FyEAVvo9u/l2XJ86KKFkMym4qNRSlVtS/X4VXCxhYjLQtfv1kQCFRWHXENN8YiTGtl25yG1rQeWbtJi2tyLgsZtYouF6Qtp7o4YFBK5eBWFMzGdJHBpHWe4y1AwY0uBzsbtgOeP/s4S/SXywNcpMAYWpsEvuisSkzxNbTiAJDnn0BVpiEsEAw/v1q5yqnUIA9JQACm/q75rsgY1yBhDlpJs1QLRzgx0IKXkPdWa5wFE2zR871/7yE+pHSQfEDum6rjPCgodFbDUb5FVQBn3GdzTSa1T2amVKpzh+ZEaivzveW2moerzwnenoIAZ5wOkeDb7+E7AjcT5kJwyauU8WZNYhDC3qzhLOOmPsi0MiFEn0oChUrNA0zRgJVWWXPKz01tTPazLfNRUsmYpFU2VmMaHbYXW2zOt1gdLtEve1hropmtMdhebHF5+iRaWyx7dIsO/arHwa0D3Hn1NgDApei6426Enxx2mx2G7YiLkwtcXp5imqI5bdctcOfOq3j1ndewOlzh4NYBTNKqDtsBJ49P8PCPfobHjx7i9PQpzi9e5DRunzz8AN/8c7+C11//Kk5OHqegaz4HAorC8DHxJwGfNx7HtQSbSincvv0qlqtD7HaXMZQ5FMbdiG1y3jVditZokomZSpIUyxgQxnA779EZk0xwiv8NlwaT5o0Tirjf95thES3g5lpKqUp1zaXK8nlqm/eFm3RJydS++WrVN+9rba5FzAgxQJUEK4QS0l7UE4JkXGs/yMDmTyP6DylFBMdXz3OGiBNvkoZTkWbI2WdK9JuPPz/jY2qV4i86B/DkTwFE6XlnDLwpjuNyfqUJEIBCVAEojZzjKj5bJH4U/CUDTq2hVDHHm+UKC8Ukl6ct4T4UMQgNSU9D3afEUCilclJzikDrvUfwlO/peprRUtm3f1r3EQ2JDvaevfv5/XK/jcMUfXFdOSQpvYOxGtoYLFYL9MsF+lWPadBQamTmtVyQ0e5zCCGbJEnmLTPuWldBogJxIKmQKXoFyhhY3AeAtMIMkBBTJp/l+/IqLaVmGicJ1IBaqCUZIRllm67zNl9W5oxcaP5d+VfKOWD0tFUkeJbtykA+IYTkKyoECkowbux+SQMzcx+i9oZrOyVwzX2SvpycsVcFcHI/tyoqdwj5TMkMuypm0L212OkRDinATygRsmn9G6OrYIBucnDBR58tdo3a35xd4uT0CULw6LsllNI5B50EDJ9Xwv9FKmRyn9cOA5blXJg/JwXX8lyQgsxsVSHM/XNbBCJYDiQCBPv4mxbAlJZd+/ZCax9QP+Lf8XyGjtFn97oQhbkwe1+wRnOFuwad//QdQJUShZdcL/no82p9DepSF0GC65p+tLWmPPrrbC8oleoCgPn8zgR0XLPIBqmSLEsKQ/kYpdDAC2svfq93DiGYErmav1dp/qtSoKA80fUZOQfXEXA6F5KgN/GBw4jdox2WBzGAn+1jlPjlwRKjHbG73OHi9AJudBjHLRQ0+sUCB7cPsT5aYbFeYH20ngU1nYYYlXu32WFzeolu2cecolpHzejlDsN2wLNPnuGjh+/hyZOHOZ1TEapoPH78M3xt+DO49/o9mB/aaNURHVqhtIkp7ULAjRntFUUphVvHr8DaDpeXI7bbi6h63sUXvDnfoFt2sJ2FARBMgLI1k8aJJRGGbFp5BQOSD3xixFA0gq0IgnmfMf+mlpQNaGvnOAHjv/G54J8/zxwWSZee9ZuINo3JhZrwZQKQTE+tbo+lOcY0dqMVfErX0ZKI8znKoTcItAqJV4sB5e23GDEZRMMoldKvlHVBxSQmqpi7pH6oGoDzfpdItfwg4fNX91WngEUqRWEcEpAlkBEPguiXoK1FQDQvm0Y+d1EizzWXIYQsAfU+1EEZmGN836+SbX8yrwgBwTs47+CmEeS7eZ3LvkOvdV+kIckHI3BpYc14yTnzk6sCZPgkaXWjg7E65RLrcioTYzS8MdBW571Dfpt1X2kNMeCna2aRrnEmcp+2ESjBZXjqJ6Xavpo1MIpLjpOFl2k0+TVDtLqhOeCCKAraFcdfAE89L3O/et7mS0G7YEx9KBHLuRCRay9pDlrrh/evxQhzFwr+N7XdqmPfvLauyfOPrmWtcrq2z9QXoDUTKhDJ69rHuFS0t1ys2rE6JnCPflIuCbwSTU4CrxCALlkvjcOEYTtAHR5EP2Md58uNJdDayeMTnJ+/gFIa64NjXF6ewvkp+2rGPteBZMKeNfGFL613I8xSicbUZ1d5XjGg6N0cWGUaRXRCxjAA44OobSM1jwQW1GztzodUC4j5nuaAR5pvUvvcV4+miNJCSaER33vcp5zTHrKU4v2SFg08cBcJXEJgAjEd/TKv4mHyXDpfiG3lLlPPefke0nlRR0vdK6iiwEGhrncmtGo9z9OjAFDpOfIB9sIPNPNTGlBMgEDvyaS8mXGOstNpjIWQhFAkKGeDTuMgMM3/1tAGSRmQbufB9hL/VXKvJuWEDdgOW5w+f4HN+RKHdw5zWrJ+FYP7hQuarwV2u0vszjY4Pz8BEIMDGW2hTTTJNUnZcXl+hu32ApvNOU5Pn0IplTScr8GYDsZE4DmOAxaLNYzpYG03i6p/cXGKF49e4PWvvIZbt1/F7tPLrMVUSkcFgkjl93nKtQSbWhscHN6GUkjRm7aYpgHTOGBI2s1+2aHrLfRqkQ4rD2O7meSu2lAIybTHwiMGgpEEgjYC+S9xgLhPSp6DWuwBmZKR4P2jTxmYQjJMMmfaZylEHFvMRAbf3ueogFzK1CL60T98Lm1UYo7obwJ1vHCNKmeA6DfuX8Z/4+Pnvp+yD/I6FYpgaLTN7z2b/aoCcqluCp5irK7ML/gBpwJnZmmSkpSNEXylUB1+VExngXGCA1JezkKcba8Qppa0sqxTkvSS71J+f8k8x08utR/rjlEfDYZhhHcpWBBSNFo0TFP+FJSrhDifRcATQsgRZ0OIhJ4i1DnncrJqXdElxFxeyz7Smi4GOyMT26jVscWUlvxMGNOXwQ9jQJSKZrqlb8jaJE4LlJqDPBLGcGGcZGC4byWPJVKb4e4HXvR7vldoIeU+JnAn55tHaSXa2Wp33/tr+VTS9xBiAJr8e2OeqB/8mdy3PTSenuXaXV5f1paq2hS33f8C9mMdFf9Z9atieFUx36Xr3M9URrDlbdH4VMWQhuZ9fFy8blqLwzQl7eaAaZxyBG/vPdw2+jtrm1JXjQ7jMOL43jFM8u1XKTBWzJenMbkJLx6dYLs5h9YGXbfE6emTOOZGcKh9a/ValVDcSEyDJ9LZL7Z6BFlb5hwo1DwHoxG86RpoKsWY/NIOnUXz+edApf1+pEauHlp9LgYXcl7HWT/2+PRppbJgmbcr+8FjfITEM9B3rWKke15a+58E2QQ4qX2XrZTqZ3xDMF8Bzar+ek4IvMMVH1Hqxz6QSDwQVZjdetg8V4EhReReOd64jBiPxjSpmV+pQCxyPnFtNFTSXvK++hAQPHKwoOjjXdqMfBcJ/5mQVpPAHcmUNkWv1hqAS/0N2Y9U9jmmD9PYbi+w++QSh8e3sDpcoVt06BYdvPfYnG9gjEbXLfKaUUrBpfyYCAGbTRKeuhGXl2e4vDxBCAG73SW22wt03QJdt8Tx8T2EEDCOA4L3WCzWWPSrlKJuKvyzNgje4cmjj3D/rfu4e/d1PHz4fQTvoLRB19XvpHrvf8xybRNF9cseIQDDsI2JTacRkxsxbCPg3F3usLvcwTEmm4pnmh/6H/Mt0qfP/nVcEgtwgDbvEzEBElCSVvOzvsw5iGs/R0xBHe21RGLlYJjXxYEq7xNPbktSOb4QKfARnxdp2pUZTjkHrB7OPE6urSmTyelJsqRQmC0yP5aMSxYGpDp4YvNW3yjBeAgBu3FCSIIGqquK4shysVEQIzknsQ3JJM/ngEtSeakCOBidDsSUAoMCXzBgepVUKpux+Tq4kOwrBZqJ0VInuOScPo4DnBvZwXJ9Aad8h5/9uVojwkucM6HZdA5unArD730+ICmn5vJgGcOs6ygEIMCpdQzmRAwi73PCspmhyOvHCMmsoGm8r0aran3TdfKZ3iecquYDpf6fB2jmPijVBJqy8H3PcyOXeed0qrwjblofBO2Q456NjdEsSUfac1CPrQWOZducpu0HlFefJbVGuQA9Tp95PZyGccFDFuqJc43GR9pbqVmSRb5POX7+O52VEfRouMnnfJmxLaBfdIAPuDy7xPZ8MxtTZD7jO99tdnj2+FMM4xbr9XFizMbMSIZ81hW/zeucY9NNPgtIA/lYorxHlXz6OIgM6fyYRgc3lc9YV3HdyPV4cRaywELl+n4zV1n2CQR4PdR2JbCiNhopV3LUUa1moDOkYISK/jG+okU7qC1aezwic6uQYIWes8bEYIXazJQbeU5Ze/uu87lp8V8hhFrqw/sk3DOIRyEXG74gJD8j34NsWxtdQP6sv0LAwPvc6BOAkjIlCaEo5QlZdWljKh6SN9TKUQ6gRHgX7WkhjEG+Hn3Gje1gjME0jXjx9DFOnpxge7GF9x6L1QKL1WI+r0pBzeK3aFi7wHJ5AK0tlFJJc2kxTQNOTh5hGLYpVUm0chqGDYztEoDVMMZitTrCwcEtTG7Ew4ffx4tPn+O1Lz3AYrGGDz7G3khBH2lNfF6gCVxTzSYtAO99zEkDAMFjmgb45HQ7DhO2FzvYvkvJoW3UIOiiCQhh7mvgEzPBCUEmIimggdF6JtHmGk/6O5rzzBmDfZrJz0J08/hph6JtWnVV4VJ/zmBQaQXKkSkI6P6WyTHVqxUw+TQPqBktAsoE9IvWsuTa5G0rpWY56CItUtnxnt4JaTy5lL5ViIASgCV/o2Fy6C3NEwDoyg+J0rJQW5EhcnncmSAKBjgDtsrfqQgNZ/3TCnCI0RmZNJHqjozBHJRTm/kgZwetd76EoGdtEZMRI/VG4U0IriJIxJTdlFgi+DPp+37zYp+FV+kTPqWwib+50UEfxvdo+y76frDQ+caabG4LoDr8QgAUy5fKIw0SwJTrkExoOVMzTzEiQKWaA6XZOEPccy3NIAdaLX9u+s7pidpTV8u3U2oEJWM2OY/ezoVO/JM/T/2U9xLN4oBVzltLeyFBrQTyn9UahfdNuiq04pkUmjivn487azNZX4mOtva8oiibbBz7aC2Nj1u+cN9V8odXCgADr8YYGGNSYIsy37a3sH2Hs+fnuDy5yEI4LgD13meQenlyiZPTxwCA9foIm815DgyXOg8pSIt7p87BfV1KFiwkFxjvPTAha4ulCwadKzRnHNBxLaFm3yu/cgE086fw18uAg6vkfYCyV5vs7xN0VPczX8wQkDWd0XSXBlBvoCnTzVrZIPkKssIqwLZm4lvCPemuJfmwHJ9C8BRXzYOcj6vuL/Vidi/NEY3nKosmule2XwFD4u88F+zM6XRl7szGTea0gIK2zIRWlfujyXPUbpLw1liNMDINrPAzz33UAEIctzYGSrkCsEHnvE4uBr5618YYeOPgvUXXRY3jxcULDMMGR7duRy1n38EtXLFomsZ4nhJ9ye34BDh7rNfHOD9/BqUU+n6ZtJ2nOHnxCHfvvQGjLYzt0HXR+ilqPntY20e8Yxc4OrqLDz/8IU6fn+LBnSPcv/cAHySNaXynbB5TCpTPU64l2AQiYZumHYZhkxeSc1OO8jQNU3TgvdylwykeSM55WB0Zbe89dPKupoUYfMAEj44OPK2z/xDXdClVO3xzZor+luZkdJ2YFamV2xco6OdlRPY9kxky4WfAQScnjNJP02jVNH3NBCwxIEYpJAvSihHiPjBax3yDnBhT1QQqWwcKFXLCt8bAT6EiJLn/BBAFM0fzQKZbslCURGt0fMfaIwSWBiYFd+Fa5HCF6chsviLXFU1u4Gvzngos0HqJRNB4ZIJFEjb6TsKTdKHMWwoMBGBmLhQjx6GSchtt0z4ac15NAiwxF9X11WxS4WuyJfXTysBfAS6V0gjw+d3RPFLOUgBw4wRgkfxoPTu8UqCmlH9TqZjXy6UgQpT2RPZRW5Nys6JoNROjRymgOMPFBTNksUCAk+8JblqrFUWIlUxiNKFVTKDU2ld8v0iQCSDT2VLnnEkqwGWuYZXviTMFwzTBGg1Kpt2qt/0u5wxoq++tgCAhxCBqLyvSMqXVh4o5arSzT0CZfUpZUJ8cKVgITKWvJoAi1MyBfhLwCJxRaWiHMWe2ZdFK5bzD/FoRihTm0oeizQBiCoLt+Qa7zQ7rzuYgG7Q+dsOYzNQdzk/OcX7+AtZ2UEpjGErOOdJaxbEUCwClzJUCpC9yifzRGIMn6kjfTWdggkHQHt7oDCr52iIzfq5lLhrpVDnbc0Q34mVVAN4MZLbXLuWV5HuN7/kZeOX0Yo85Kf+ukk8mlcBsz5Vi56VWleUEp5M8mJaki/S9qQFl3/cVpRU05nxFBcSEQCz/TeNo5L0MQc4H70P5PQQJynQGn8SrcJ6FmubvnUArCbOj3WpA9UD62jJn5n1UJoK7IZnQkoBJBUajdFTJR811DKyYx6Db64eEK8RvcQs/YM4vExCNgv6Yx9P4aHlkbcQhu90lxic7rC+PcXB8ANtbdFOf5m7EMGyzj2ZFf9KKWi7X2G4vMAwbWNuj7xbYDVtcXJ7g1de+jPX6GMf3jrFYL2A6g83pBk8/eQLnxhjF1vZ48+2vQ2uDFy8+xVv6Ldx/5S08fPh9+BCDPnJhIYDs8/nHLdcSbBKBm6aoDjYmDjOE+KKDjznrphQ4oN/16JPjboz8GKAt+a3VTtxEQA1j2IDoX8iZImkWdJW5kwR0QH2gZ8nhFQwuXZPtVM7mDYYlmxSF6Mtkk88W969yrF3+zIzJQQzeEEFaMaGqTLMyrUsbVPs8V0bX/j38EIkAszApPFAF3ZNznCbiS+Bc+hMRoeTEl8ZEIFW+lzxf6XNK+doWnY2A0wCTK75aJmk4szaA+QjE8bUkjHMpYKTKCShSsJ6kXSxEKPXNKGgfD/vssM8KBWqIBFH2Z86gUoe8L0FqVGIypnGAD7EPEVhHbafbY/Z8ncpVzDsAUIoYKpwW5OvsZUdJYkkrE0KIYFKpvBEzYAwhBgZKDJ/pbDSbdT4GcVotYHubD303JoENk/byMSgSimlkCwAAM8aIC4zyGqc9s4eJ4oKkVp0vK7P69vg/yj7zwt9Vq33Oc07Ow2ozG/NV5rxEK8jipaLfiZ7k98rSqlzBN+0VHvL4APsAeQZoaDO4HFTOxsSDJLEAP/x5oNY68vkAALAzMqDWVsafr0bXdD8fl6Tfee2CNPOReSSg4yeHzXaTaCyif1Qfc2tHGq8wDSmatgu4eHGB7fYCi8Ua47hjmtKUq9ZYWNuj63r0/QrW9rD2WrJOAKJZ8W67KD7gnUGcCgWlTPT9pvO+MQ9VXmkKthMw87/Me5PO7SQsKM/s19jJFGuyTk5/ZKlSdGT6OjsuS50UHEgGRNLztumz5TNNa3liZwDt1xYw5MKRvHbZPoaKmlc0ACefC/ou55PiNPB5pDOBItPP65kD0QwUk/9mIBNk0ljrOshPbLPm1XJ9rB4olYMF8WdlWhsACLped5SKhPeRjzOEANvFtTsNRUDP783PEAgGoHQ8f5VKmv5EQ2g9+iRE1lZD+xSzw2t4RZYSJeWicyPOz59ju73AwcGt6A5jLKztMAzb6HdJ6XCS2Sxf1+v1EZyb0Pcr3L/3ZlTkmA63797H7ZRC5fHPHuPwziEsi2i7Xh/HgEPW4MFbX02C7oDjO7cBpTEOWxhjM09CC35yN2BzVvrFCsvDFdTjdABrDa0tjDHVZiP1Pfka2L6YogFxMdEmDyFKp43V6EwEGMUkNt3fIC65rVCbNWnVMEXDFZIuVZtWycN4nz7J6Np8iPvY8E8I5pCEeJIxaQVuACL46m2c355FxpUguAookZzeaR4n77IGxKEmDLGvNUGglChADTy10MCMzkWCwOaw1R9CX1L7wgMQ8RJCwDA5LKzKgJP8eknCWQ4JDa8DY2TSe2QmQRFIIoXQVrnhFntGfpr8kAgqMV/az4hy8JQzVFHchgxmyLGdE3rSVs4PCQL/xaY/3+tjAuDrVuqD+GqgVHy60t+Ie4tSoLRKAZnFLNmNUw7wA0RGrOttFpIopWA7kw+R6KNepK/r5QLWaJxebOK7oRQ8upjPxn0EID1jUEtoad+Wz5pm0RrXqgBBaXFA+5nX29I67DMVzQK8K+7nbXINw8uAJgewSimMzsGaSN/3AU35/rlZ7pjAJtdichcACZYl7adrLQ1iKzhQS+hRg/wG+G5Qk1bfyvio/ebPM98zmdZBRgWX46r63gDCWinETPPx78G7ai5sSmHmpniOby+20ezcqLR/ANvFoG5FgKkw7oZsNXDx4hzTNKDvV9hszmCMQd+vsFweYLU8xGp9hMOD2ynooMI0Re3A+fnz9qRcgxKcR9AxJYkxpnLHoN+1FVYApC1jwnYqnJaV3J0N4MnqAQr44bRrBgbYNRnLgX6fjU9YcsglSWtRKaR2yzWt6nXKTcv5NSqVprMB7nImgVkv69Jqp+DW/XSgvn8+d/K3eL3UrwT4VKq4Y3D+ghfvSjRZ2Z7kXyUorgAn7w/jiYDCd1A9xhqM26ECzDInaB5UKGnFjI1+3/JskGsyMGF/vi9Zn1HARz7vJEgxKU2d9zHHp9EWqos8gXcTxnGHFy8eoesW6LslvPewtsNms2OR6keQAMykCNl9v8SiX+LV197Bcr2KQrbNBc5PT7A+WsH7kPN4+inmC56mmCItbAPgA0xncee1O3jnl9/B9//597Hol7i4eAGf8qUTXxff8Y0ZbbMM22gbvd1eQCmd1McxmMk4TOiGKYcfnoYJ427Mvk7GRnMOCwuv4wRbHfN7KacyqKJCKVFARAUkAStSttr0DLDZl6vWDHLgyKVRHFgBNYF9mU/mvgBB/BnehzoqIDIDJf2d+NIj4GX0nIhZTljVXNqex5QOKJKISw0qf4au5chdDcaLnu2MyVHhqNCBoVlAoRbBBpj5GNAg9jH6pNEpOJAuTCb1MTPsRsH7uYABjHATmKg0u1olf8x536oDOjnBE3NQSQQZoSBfT16aEeJSH7zzgFinFNkMIcB7Go/fqzX5opcZSOEm8nsY9XRzfDao+HJQtMstnjuDlJSwmg634D26RR/NZE0t5AKArrc51+B6uUCXLBSO1iucXlzmIEDVfxGASo6R1q201JgDuPp5LrSScyOBZiWAa/SB6qn/noMpEl61zOtbaVh4vbwMk4PVZuaywPtSRXJFbHc3TYXhbdFrAbg1C6Czr0iaLYucby7Ya/Wd9yX7fPHvjMEi7SSA6vfct1L5DDx2Ka1DfB9h7xh5ewVgxxZlWx61P+yU3rXpYnCsi9NLTMOUTeeG3YRhN2IaHbpFh2VKg0JB29wUzdvG3YjN5gLGWCwXB1CJiTs8vIP1+rj0Qyk8e/YJdtsL7IZN0jxs2wP7gheiDRTZkyKdky+3DCgGJLpF0T0rsIjqHsMAqlLp3oRoqN3cB1r/PsB0tSCsrZGbm0ESeJGpTWT/Kjq4h563zjal5ulN+HejaoAY3W+keaSqAi7yfc8F9pXwLPXUIaY00SpaGM3HNxfu5bmz6cwXZq5yXrxnUcuBCmhmHie5cSilYsyTiSTl8j2VyzNNK/+bRbotYyiC99lZpXW2vtI2mshFP8rUD1/aSMx55ImMhu07eDdU71UKAPnfUWvK+qCiYCsk3k5bDRssgvN5vdtEf6YJgDbQwUCpEWOIrnrOOQzDNgU0HbP5/jBsZ2a6ExS0iZkBFssDrA7WsL3FpBTCZcBmc46zF4dYrpfoll2OyL1YLXB5kWhowh/OOTz75Bl+7b/6azh5coLj376PTx+9H19BEpBnDefnLNcWbO4udzg7fQYgaTZTJDnnXErpEOAnj2kYc/JygBZQlxeS7QwWKQ4wEZZ95lycseGmZlSIGPL8apIRyPnZ9kjlWhIieY+sT2oyqX/cdLQ63ImRYkCzGhMzTwWrg5t7xHpqLST1OyhVaVxpzvjchRDQGRN9hwIQtI5makxzluczAclWRF+tItgcncuJyckUMJoI+yZzxhnpEFQ2i6u0hRzMBcAhpjshKbo0hbbaIKQdRyZgzrnCwYpCY+MRYrVmIEWpLCUGEmAMAdoUCS+PNktgVrYRD3oA0DmvEg+gkScCAEU0C8lHU/Hou/7zO5H/y1isSaYvjEGPX/bsO5rkJpPPDl4k0BpKYARyxPfJv5I0N3RGEqMXrTEmTKNDb0y8Hhy6ZY9l12E3TZGx0RqLvsMu0bmqPyqa0FJ/OMCqNJrgwLMGYVnIIoCPBJqfxYS2JUxTqX2+J1vPzCwu2DrcFyyH6uX9CyFgSNYHnCnkwJSeDSkVFgHNFhPMv++j1VfR8Fbf+fzIOiTd4ecEX4/Uf67VlAxWrvcKk9oWLSSgXVwSQmUaK+ntXGgKuFBfV4lBlGMjrf3m7DJqGZzOguOoTfDRAkCbSmCqdbQGUAo4unUbDx78AoyxePHiUzjncHl5itPTp/Bugg8+txXdcCJNdNfQigNI558xtTYyMdQqme/n60XqwtI9NPap4LHimkS06GGRs6kevo809/tDyDRQln2giufNpD6n5VT6h9riC0j8j0hvwu/P/s4V76Rme7PVV7mHiJdy3s80nET7OE0jPsQqprQwSWguNIC8npY2mPgP+d5q4Xd9vQgCah/1vMd5MBKlgOz/p1jdcxqQfyvEhi7GdZOOsBz4J60rpYBxcFnbTu+NCxwqwJk+3eSi5UNv4aYJgWlUg4/0kXwws0mr0Vl4X/aBhjYBgaWz0wmUBhPPd5PMdiNY14mfc2k+Y/5tEmJvLk8xTgPOzp5FXtj2MTUjndWJJ1ksItAEeye73SUef/IzvPbgy1mYEELUYo7TkH0xpymmZfHB4Uff+RH+0l/7z+Pd3/wefvDD387+maR9JRr4ecq1BJveO+w20VmWmDfnXXqZKSgHBQoaHZSKUo2oNYgLt1/16Fd9XiC0UXpjqgNPpgAB5tpDOugLuCq+TpxJaDEdLeJQMWKMWboqkEQGdLRYVdG68XYApMiw83ltmqEKJo8+I8Cvn+fEOWuDgWzGOXmXtQYKtYluCCEzdVLiH1SUjFNAIFmUKoAzah18ZRIjxzfX2ERtNfmpcKf/anwB8KlOai+Igyf6tDbyY2kF5WtCHkjCnzWbhZiVtRABiPahYn5I+5UPA1989OLviSiPEUKFEFhUuFoLyiPAaR3NOMiMVqlQmD7v4FIequtUsglZEjjkIpE7hEkiHVq8rqTdVEojKO7DRz6bZNrvSuRYTQd7wKK3lak/HaRKRS3P4XKB8+0Wwzhhuegj2Oy6KnJixsIo2oAMJtkezmtFqRmtiXXNBTsvA5M/z4El+3NV4fuGaMtVPpwSCEvmbzuOWISQ6YlMDeJCwDhN2E1TU6PaanNfgLcWeGtZq1S0oQFq+Xic8Nmu2rjClPazCDCvKnl8rH9xrn0FOK+u4+q66XPyDm5MZ8NljCxP9C4CosiMdos+j6czBr21OLxzBOccLk4ucOe12/jkQ4NPPvkxTk6e5D1I/e9sD5U0AWReFunl9QWbxhronO5KZb9Lufcr/0pm0ZXvUcUSg/Z/piNmvj7beTVVyRWcSmTUS+RbGQmX15nr0XN6BZT9QOuK+IPYTi0zlHSjlTaNC+H5vZyvoECK0pKNC/I5z8etM/I8sHad95UvdStyqywVTahNC9g8FgE15zlb4FD6W0LQAuqy9/Wzsi/Vb6kupXUCVOz8YpY5bhIxCZLEKvPWvvDXsk2fNJBRseKylRfNYZ4LFfGBNhoTC0aWz+CgYWyaD+UzKA1BIyQXPqUUXOJnLboqMrFPGMUYg8VijYAAa3s8e/Zxjj1D0WS7bgHvJxwf34ftLC7PLjFsd3EvuAmnl2cwtoO1fQaxXddjHHcYxx0UFI7v3MPqcIUXj5/j3d/8Hv7K3/jX8Vf/W38Vv/ntv41nzz+eveMbsLmnxPDC2xwcKL5o7rcRi/fRXxNqhLbxYOpXiyT1TFo5T3kWAWsNhqlmqCtJjwBDxCwREFKSQDQYgpdJxa66Lpmsl/n38O/1OIr0qVUfb6vlh9CnsXLNKkLxO+C+PtnPKrqDJ0JciJ73Ph4AgshJZrJlXgdEQk1mhU4p+IlpqFSoDtGZj5Yws20R7XoOyMxOVZpaz4QSBnMTPQ4eOcgIbn4fMVOemVpSt4ko0/08MmmWOibzElWZ9CKboQCoD6qYb6DKGxWl/CO0trnOkHI0XbdSHbL5mghskM1MGTCl3+g5BiYz0xVUyZma30XUKo+7IR0e8ZAlvxJirLSuTWMPVksMk8N2N+R9o7XGMAx1oA4GImXh+6Dly0cWBEAJhCaZyFadLwNJLfoU40vsp4/E2EmmbmR0tUXzpBBMgmhqY0hBwCgnr1YKQ9ojzsf0RvsEdmS5welcDlbm/ZXms7xIei7nqaUdkC4BL2MUpJlsiyGL49wPBFsMqKxfK2ThW4uOBkbz5dhDqLWazpccjjHXcAwONGyHlNYg/l8frXFw+wDrvsfoHDpjMHkHYzQuTs7x/rvv40f/4g/x0cfv4dmzj+CcS7EdoiWUZu4uAJ0H1896gxd+zhirs7BNqVqDTiAUQDaxFRXtB34kj0vpRfI7T0y8TC0B55t273KdttY5B14EcEMAkIR9EkDS+e0TuNlnVttbm2kQgSDevM5nQqmD6mfZqZLgPwqxtVJZ+N4aW4z4X8ZOVmCU+53mlM9Pps8MDMr9mueN3gXjO3TWNLeVIsQjcG1jCKGceVWqnPm4eJ1R0MqF3UUj7h2FGksC8rx2UKUqIoFTfBnFnFah5NDMY6dzMuhs8uqd44E68rgBMMFJ/V74d601gjWRj+PnYt5PKlqM6Zjv06BYhIWgEIJG1yM9a+DciOfPP8UwbLDdXmTweH7+HK+++mVM44SzkxeYpl3u59n5c5ydP0ffLQClcHR0J7oGrI5SSpQYAGwaIoj94IN38c/+yXfxb/5bfwF/4V/7r+Hv/t3/TfWebsDmnhJCwPnZc3jvMtgEgOAdPIvi6Z3DuAVC52F7i8VqgfWtdZZy8P8qSUoLcYl1UM7NEELO3cjfScVYpiKJFxGNuWZNzergB3VFjAXDtE8T0JL81cxbDTT5fbKeVlscaBomaZR+N5yRnbyfmRvHetMZo1OEYBUAFughS6AY8aD3IDUNBMiUiuZxZHpLgDM+WwvkACQz3pr4S80q/3S++JtaIn4pQiuZ4vbWwnmPqcGkUj+rudcayrtMqHm+RB7wp/KbSPXwRMQR7KCKLpsn2u8H0xGkxLeldTSjjRK6pGnWBm5yVSLg61QisNTVAuFmVGLDl69XBF6Zt1ETc5dMZG1HEWgNMMZAV93SIvgYbMpN8b+1BgtrcTkMOffgouuwHUcMY9JCpwAG0GVt8jZnGn3Mc98S0LQUGEjtN3HdV5oMoQA6cQ/NfaGuOvT20c/Zd2aWS/TIMOAugRK3wshMUcPPsTUWMiUFpJly0W5cNZZWuYoJCIwWkbAzM3GZ4a01tVeZ0crr/O8Wrah+x9xfU75nCSIpCJwErnz+SXgX6VjURPTLDrvNgHE3oust+mWH5eEKy/USt+8eo7MWU/I9en5xidNnp3j4gw/xwR/9BCcnT3IUWmqj8IcZFQFKV4D4OtI6ADm4Eo/4OltjzHyRXhUJOolfitfagDMHXNG8gs9u+SDXvhSQVGsZBRQHEnijrFG6B6i15y363eLN4unA52fe36I9LX2idrKFVojuRtyqgfYw0RCXwGIdhKuMIZp9qhzYr3pvAgxmPliahGagJkF8BF5lnGUvtOhypJNzgdg+2sJBZqvvtZCjAL5pnCrand8/xRpIPBFFrPbO14xeKMGCYt0xkI9SxZqNzx3nObXRMbUKm7doThujOE/jlDWZyOsTOZCjMTbNAVlMlLXb91Hgdfv2q9hsznF5Sb6TcW9FmjXh4NYBfvyDx7i4eAEgpigZhk1KT7eG1hYnJ09wcXEK76ZkMaczD0cY6Z//x7+JX/s3/hX8u//T/wbe/d4/xXs//j38SRb98lu+eMV7j/OLk7TwdDbvm9yYJRkxz2ZklhfrBY7vHuHg1gGstZkAhhAAX3wWiVD5EH11JucyM0LMC2lAgUJggP3gz4ewl6mQudnk4caJq6xDSlvk/RzQVYQzzO9rERH5Xyft4cJaWGNmQTnI3IRrTCpGlkm/+afRc0b2ZX0CCqila0bHnJjZ9IX1xyS/Q/JPq+qFmh0w/J1JZp3unRKDarXOjCz5SNF8yOf5O6LfisCj/O193TYxBfGQVzMps1IxcikxACG+5OpQVAqVmRG1x+tAJuZR4u+cy3vLeRfBzzU0o43aSLb30lyQFjNERw9QgCT+nuPtKr//UmdhsPI96V90zA/R5yyZAlEkbecisNQm5hechin6oLN1teg7rFdL9NZiN46M0Upryc8FKJyGcCk831e0jl+2J2v/xpoOlXuuCBTG9mGhqXNtGO8D9xl/WeHg2LD9Ga/Xwi7y26K5qvf7nBbxc0COOYLWeRAtLtQEkIRWNTPJ/1O9ktkjUNx040BNW/g7CuKf7BOBRn428H7R/ZUfpljrGRymcc1Ml1t7A6jSydAYaZx03XYGy8MVFqseh3cOce/Bfdx5/S7uvHoHi/UC1hhshwHn2x0244jzswvsNgOefvQUIURTtWHYZDM2Wn/Sx5nPy3U1oQWQGW4+70qp7FsJcIElPQPGTNdrv7X/M9BUBdjIeAhlrtN3tx/ctwQ+XDuqWFPkPqNQn/2VG1D6vfAl9Z5uxYfw6UyVvBjhDPqNm+3Seh6dy/tJgkha787PwRinN1zDqmUCd95PwVe2eEVlNJLEL39XqX6t63OBgCB/F/l7ij1Az0jgmb/78r4lv9qKKBtd3ky0SkS9dvg46LvWquJvMqBmfE3woTL51lrn3K8ACd3LgqdnSPiiTRLAsPOk67uSBYP3Sccz3XQGXdfBGPpvmEBfw1qLxWKNW7deQdctsjVTdGeysKbDl7/1ZRwcHOPo6C7efPMb+OY3fx3f+Mafx63jV2BtD+8nPH3yIbybYLseu90lpmlA8D6ndDLG4sOHP8R3/tn38Pb9e/gf/i//5zg+vpffw2cVAl1VrqVm0/sJw7DJpn01mIoMsvfRNvroziGO79/C8mAJ0yU1+uSi1klREBcPZzw089cMCJhELiIoCpaTNizmG0yrtsaD+xICNcGSdfBSacDA/Bj3LJAWQ5j/VupK864WMFJKZYBJ91BScBo/3UtSforES6XSaiIGo9CqAChrNFIqpMwA7lv8UiNA5hVGKzitoYIH8TWcQMl0A7x6TvTpfsMBnnqZv2w0jSCGjEyqtWkHG4rVFMmZGycohRxtdHawMuLPAbYch9YaDiyfI5m3+AI8SQJY+hLr8vDwmbCbBIhc9JVQZL4yfe7w2P+ylqzJDMiHifc/X/TdWMdcI1QBB15fOiCVisxD1hLoZIqdUjc457G92GHZ9eiNgdMKnbFYWItV3+N8s83S2Lwfk5SamJWybljzDR8oHpkWqCMxpi43x9Zat/L3LJhi38lst5JYo07pxDWULbrAmUTq3z5axgvRQvIj/yw+l1oBSP7qjvZXCm7Weo4LEDnt3ldoLMR4cppTAUFgVhfvp4w4LsFnpblHrQ0Fag3qvtICp/Qs9Uep5G8fwqx+yXRPzmFKzHlAiL5NyeVFG4PzF+fYXmyhrcb2YothM8DYSPu34xitSVyM0xC8x+XJBYzp4H1Mso4Qsm8mGuuI903O53UqZLooAUhIJsszENowb9WmrcegKWsy/qytGqCiukYl7389t4Ao5r0vf0fSUonoTLzeplc+BJHnu2g3+b5ogScqpKHP/WDjoOd4fzx7TtbD9ypNk04mptKsNpu5NvYjH+MsQn2KK5FqApBcOtKakOlP5ufcHBSGUHLk5jydoj+BkLpS5RPRYkzS7ZawXv4tx5nnkSxQrIm+lg7V+ub3K63EutsjNFWIAXwQI7+6rIUFiOsMJkB7MtdXAFIOYB8F2l23wNHRXVxcvIj5zVMuT1IevP2Lb+P27Vfwxpe+DDdOcJPHLX0f5+cnePz4A6zXt/A3/5v/PXzjz38Dv/ef/B7+8W/8HYSYNw/GGFi7QAjRLep3//7v4p1ffgf/hb/45/Dv/fv/Af7D//X/IuX7/PyA81pqNqmQ3wX9N8ZCq6g16BYdbr1yjON7x1H62dk5qAskWfMzyRcQ8zc6H2YMJ2koYhVth3UuMQOQTTq52aaUTLcWM322TFpb0j7OcH0Wv6Fm31l/rNawLNQ9ScK5VJCekQCa+kvaBfpPqQfoNwWF/ook2lwD0yLEmYikuoyOAXyoPepbJtqqvMOAMCOAnBFutce/j4nJtCmKH1BA635TZ3GhQfBCCFWeMOj5e5JF6RiWm9oIbG6IWLYOoEqKmdaUTX6bk5vgPf2/nqlPaE0DqKWTqmg3AVQgLH9n99Ba4vUicKa6BAsITKBi+w5KR58SkmzavsvRA+k9bsfo47mwHS52O/gQcLRcJrO4tiSej4Wk+UTrcrAVVefT5PttX4n7rNbe8z1f3SvAGqdnEszOwXHNFOuqrtrlgc87p1fSx1Grep9FQ5eAybtkseCrd61VBMhG1UC80Fs1G0ctrOcgcE4jJfCSNKb1N6dpsj7uJsEBNf8vaTjdx/tCcyzndh8NkGcTf4fR6oTPTz1e/o6sMVj3CxytVzg6OsD6YIXFeoFxO+Lph0/x6U8/xbOPn2FzvoHpLBa2qzRHSkczw/OTi+jTvNvG6It5PbHoqACgNJSu4y1Q/IfrWIiR1kbls4doUhCCSCp0nqQf2PWi+aH7WAU1qEzCNQlUq2eqNGFzoR3VIboR/yYwhvZ+e5krQBsIq6xcoDaVqmkP5x09W/P5d2Zpxa0s6Dtd74yp+CWah/keRNWf/J2dF/vodwt8VfNM2k42BxyAKa3q9DZJM0q/KVVrRnU613ggnvybYUIPpWaMkZt8Pte4tlbyvKSd1TxoUu4Pl7KVNZUDKIaoUefa2ywUTf6XxIvl842lC1ImndtWJ02mhcxZS3WalM5E6+QLrE1W2BDgpIi0ZF0WEHB0sMZrX3kdi9UCSmtMw4jl4Qqv3H8Lq9URVqtD3HvjHr7+tbfTmJKPaCBh9ZTa0nj25BN89x98B7tpwt/6H/xN/OW//O/Q5Mz6/POWawk2tY4vjRYzQKZwAdpYHBwd4vart3Fw6zDlrtOZcdMp2EA+mJ1PTDWFOyfbeQZAGvb+QG0qOQOKDV+uWpI8BzSSwLa0YnMTjrKJo/kbm6fqcC9jkkxcoi/5P9UV/9caBpUYLvps9YvMkJ33iYFzlV9TZ20EncZkk1xrNDN5qfsiCXpLMAAgA+MyflU933ovNVPJGHFG5KUEnhcfYv5R50MFcLOpG5f0MVOV/O4aObO4w300d0I21aBE5nmC6Nm0xomI53772lQpXi9SuaovtI6MSVHOQjajjb8Lc9NrUmic8hqAdNhlB5K09mnfl5DpL2NMaX7JDJlSOgQfYKyO4dk7m4UFpjM5BUDwAdNuxLAbcTkMuNjtsBtGnG42sMbgeLmKZtT5EC+gkRfOIGUmqGIIkT7nTFd8PlkdsLolY8PblEyb9NOU++uquaMiTUhrIDp/NvuQM/DFUz7RtdE5TM4nulUDKgJn0nya9y0zj0xTKMs+ZlfOHx+fbKeMI1Tfgbb53L7CQajsC82bNPvLfSVzcJWCSHHGkpmByfmx2qBLViiW0Uqro1vAorM4WCyw7vsc8G1yDhfnG2wvtticbzDuBozbGBCr6y0OjtdQqgSqA6Km5/zFGTYX57DWYre7RGCBnOS8U3/Dn1C+uX/Zi+RX5P6nRVEBDc5XMMEq97XL9SXzWclnAKiEYvwMqoFt21w+n42+nGO5zSz8Z/1k9E7WwwUc8r+MQEv1S5ccrSQQLfwS9Z/WOQemnTEZWJJpLH1ardEbA2siL0NAlVyE5LtQIABf01p+fslAcy1f5Gr+XRFQy9+5n2/06y1+kFCqMsUu/ErkSWxnK4HDjP9J9VGUVwKj+7RuvC+5PVMCDsU6ObBNioekac1accYzVfXbIoAKycox0omyPygqtlJR0M/pns/zWPi28i5MTLmmKCCgwXp9C+v1UTXXWkfXtXe+9WV0yw6Htw9xdDfmBz66c4z799/COG7xT/72P8AHH36Kb/76N2FMSqEi1rXtelxcvMDjnz3Gt7/9e+i7Dv+d/9m/j69+9c8CDbzy85ZrCTblxvFuijbKwePw+BbuvHYbB8frHHyDa410kszwnENcmkcLu2VSCYARGW5bPdcqEGPiGHNeaRUaErcmaG0wIpI4ZulPkFK9+bxx4kh4pTCQSTPI+kD+BAQIrTgsKvOsMJe0a6Uzg5kZmIZvgtUGXTLX5RJKzswoVUsG+VxRhDlrTMoLWCSQUuvA5zKgDh5CY6aS/TFDqBg+rr0MCVyPKZgU16ZqU/zxlKoBYkUs88HbZgK0KWCSfqP1DKBa49nnTwguCpFsmx+VtURmtD7nh/TewTuX8zNdx1J8M+fayVzoPTYOvxYQ55pz0lDSfT75NZGgoF+VCNnyMwRgGiZcXG5wdnEJ5xw2uwFnCXAeLpZMyEBd/ewHSEt4w+vggJMDroqRFGuX7xcJNFttAG1fZw4wW4CtNU4pINt3HxBB2pj2r/MewzRlARL5ITrf9muUYyWaR3S0RatadJ76SuPlYJLPQ9XvRj9ac8D/rta20GryvvH1wGlv5QPLLHyofp5HWmqYMwOeQGdnIs3vrMWy67GwHXqKKp6em3xMYRa8x2K9wGK9gLYG3bLDYr3A+tYBAOTzaZgmuHHCi0cn0ZWms9hsz+vx4eVr4mW/fZFLZL7Le83CVBZVqqI/zA0D+e9o5kzBFkvd6QtbvxlgMMErAU36jvxYyMHs9vafaTYlJqUzvwUyuT801x7ywp8jMCkVBPK7UnP3pgxSWJtAzVvQMdJSTBCv2FuTY1DwPWdUBKBUTx47c8do8RIcuLX6SddbQivJB/HfeH06afpkXyTPmoNQ0T2JN88Ri7mCaA8Nzf6S4jpQmy3nEmLasSjktTPA2ixikWWFFRsbRcfO+MKYmEPbRI1nzg8aKCaGzi+O5rPrehwe3kHXLXOfui7yBMf3jrFY9uiXPda31rCdRQjAvXuvQymD9977Dv7+/+Hv48FX38Dx0V30/Qpap0CZfoJz0bx3mkacn1zggz/8AL/1z/8AX3/rAf77/+P/AOv10f7xf8ZyLX02ifmNnxOcN1ioNe7eeQO3X7mNxcEymqHZ6KBrjI7frYnEMgQQko9q5vTSWfAEAkSTczkIDBWu7TOCgMoS6XeoABzwcpMOXl/rXk40pD9OaQPN71UbyYeS6sztCgkhEbqrxkr3SrO1loaWSgS/0eeJmBzuS+ESo+rC1cyU9x5OMW1oqN+p1hrgEWqpfaXhmUP/vrFR3/hhwRkr+gxK5ZDp9Lu1BsPgq4O0aC4V82VAvkZhvym/E3zxp1E+9sdPc0k8EW3bWbjRYQoBYSoRNpVSUIlBUCad1j6kvLQe0zRl4hoBs4P2gEfANI3XMkDQrNCByg+4UCIw0t9QqrmmeSkSd9IMBwQfc5ZO4xQjD6fDtVt02F5s4VNOsVoLkA575zEmB+eut7jsLO4cHGDRddhN0yxtExUjCEBzjWNOo0II1aHtQ/HB3idxbv0m65YMDTcbk/W0ymcBCS2gmYVrSuVcxHRvawxAoguh9vfyQeWI1yAhGgkRgqDJYa79aflDVgF4xPeWRYsE5AhhxkBftT6pnzxybZos+KByigbK71dpVFGCzUlNqxxPFLoyBjXUZwNZwQSErF0GkC1F1K14r5s83Dhhc76F7S1s3+Ho+CCDWqUUhnGCcx4nT04yuNluL0rbFWOqa7CMWqN3XcFmFloKECHHWwEUsX8p2nkRUJZzKz1c6vZF4F9cA1L9aQGqFBBNasZa/aHqFRQovUkR1BQ/cCpS8LRvvFz7SFFj67zE3NcT+T6yGPOoBfohzNcPF0eGeqoAYB7XI91D8TA+G9+InDKEm4fyMUu6UPl5Mt9Npea0KL43VBq+bMIrtOIhBGgDJDkuA3cAoEr01ySMcFPc+6SFVMSbYr9QMb9THdeXn+ZWDNXkJMCpUwAfORfe+6iAojqUyrxSYFGAdeJdvdfQIcC5uI6xJ7gYCVgIcAIlzoJLQvy+X2G5PMDFRTzHh92WCWw0TBf71C07TOOEbtHj7t3XcXb2DN/93X+E8L8K2A3bVNcSSimM4w7AmOObnDx7gtffeR2/8xv/H4y7EV/5la/iV3/138K3v/1/a8/ZZyzXEmwCSYqa0Ppisca9+w9w57WYxHSx6mF7m+3FVUNFzioCgAQOApIVW/GrTN+Dd7DaVICDpxdQKpkn6OiboqDyAUuHuDTPlKanEpDKZyTRiIQx3peZ2obtNWd8OLjMfUetbdXpIOLtGlXC/JM5cGRGFcDAmvRfoDaq/rCDIEqZkcfi2f10yEXtYzlMaDwEQCWxqPqpknYyFN/cfQSXzzn1m8xbQmib0WZGixiVoFKAoGj2QkGmjDERyGmVNekcpCqlUkjzBCTD3CQuBrNiADMdCoWZzTdH8LLs4C89oAO8R2W6kg8DGkMyJw/Ow/kSatw5B698iUp7jcFmZBjcjAmFahxcLbCmKAHQFUw+RbQNISesd5OLvh60b5I2hySl3JyIQqdHehOwG0aMS4eR0tQoNaMBVwmG6FPeopSaMW0ENFs+nS3zWfpeC71qbYo0h62mqnFPa+/uYxxlm4UOI9G3cv++4ED8ec6kyvaBSMsmcsMIcw0mp68tyxain9JdgxfZh5S0p8mYt/pav7M0dvEs9z3mArUW0ORjIEY6M+Wl1WzhExnzedT1KbmyjM5F7aT3RcsNha63OLxzCNtbXJxE8Hhw6wCHy2XlhuK9x7gbcXl6CWsXMRjgOAAq+UgpoclQerZeqS6eVu06FW4FUwk+0xlSZA61djMLJ/fsdQAzsMjbqu5TKJKOamOWfrXOdireRRDTEpABc41iJRDeI0iga3WO8ACry3XeRnGnIj6ogOC4H8LMN7oI6ur+VmMLgU9x1XfeLncNisC3zqqgFOA1EFyo5lOCztlc+Lq96n4fMtDkfowvFbqmd023BUY/yM3N+yiIJS1gJG7RpLak4an9MpFBMRMG5LOSBBqADG4UU8fEcxcA3Oiq+XEkICHcmPmmudBDa41gApSf+8qWdV7PB1lRkSsOMZnWWKxWh5WAjM+hQrqvt+hXPYL32fz28vIM3/mdf8jG4bFaHaHrFvDOwbkRIWhstufYbXaAUviN/+j/gb/23/6b+Nf/+r+J3/md37jyHb6sXEszWqAcLFob3LnzOm7ffRXroxX6VQ9D6U1YIamCEXbYtKu5BDybRKCY1BoeBIQF/5EbOB7KbdDHgSY9z53EeV9pjHLMHGgS4WqZYZQ2i+R6Tph17gd9SqBV0iGU8UeTMl9pMOneOs3A/H/dfvkkYMnfQ+5DYv4V6uBH3MQWKHntsi8a6nGR6QYvkmGe/10Acet9ZUDNwH5klkI0CVbxGgVx2de2ZAj5uOSc7CuaHdbUXtfb2SFetRdC9oOahgnDMDAfzQDvJrhpxDTF6/4ag00qLS3c7F2JvXnVe4kO+ynHH4rfpptiblXPIpmST4inkPKSXqHQsAhYJ5xcXmKXouCRGTqX0tOYJEjMQrJQay72rct6TDXDsw8Ykflsi8ZR25+l7JtfLnRTILP9moZpJgCkf/z5LOxhNK/VV+mjSONv7c8y9tLXfXNFZrP7tBbxTKlNUTkDSCDwZRYwpR9pXOQ6QesLIUeNJW1ha7610jBKJYufQlf3pYsYkxkyaS2nBCgHpom3WqO3NgnoHIYh5o/dDSM2F1tszrfYnF1iIH/NRYfD2wfZvzNGTI/CtIuTC4y7Ecv1EtvtZUyJ1iiVIMD7PB8AUoqC6wk2iefh64n4I8WYae7ukvkpWt+63EOMPWfoKVUE1U2FSGe+puf7rAWKFGtXKWS/9FiFWN96bnbJ2+AWI/Rsy0+TzGizwF2sceJNrDYxXgTzrcz3s9yt8hUQb5AF1fRvhv3KXiQaz9vIYxBmtVxTLwUMfD7ie6l5WHqnfD4BVL6Ns3NRBOfJ9TffA70LVQXi0SxIXq5D61kVlRadjUNrnSzA5oKFik7rCDijOa2J/JLVMKRtkueSUiUQkko+nmIejWFrXpdxy2jB8f7kn5r8MmMKxxj5v++X6PslTPLpJAUBFW1NTqESQsBitcTx8f00fnKBCpimAdvtRXQnsB0AYBwH3Lp1H0d3j7BYL/DixSP8w//T38PxvWN85St/dvaefp5ybcGm9w7GGNy//xbu338LR7cPY3qT9MK1jklXlSKJynxhSkBKZmPZcbzyfyTgSdKsttlXub9tutoyhwK4ecGcKFQAVdfMAfWxIiDsn2GMWK43/ZPSv6sI0b5Is7z/fE5a81KIY+nn/PdCTOkal+SVAwbVpzxY8pi4yWyDIaKxSYJuyDRIrAEeMIO/B35gUL2UBkYlHwtai/HZQnDrOWf9chQCmwj97BSSEzyfz87Cpki/bnLFTCW9u91mwPZii3EcMQ47TNMQgeU0Ivio5RynIZnQjnDXOP8cgKy54UUyQLODSBQpLCApJm9DKYVpmGYHUbfsYjTNJF03FDWvcbBmIYvz2cRKEzOiC9NzFYgBkmQe8wNxroWsx8gByb42Wnuct8Gv8fb5Xmz9fhW4p+doHiIN1Gxfq0ozxxmVpp+PGAuBSD6WDFQVpxd1lFcOaGM9jK6LNVMFjWtE/5bzwZ+R88AFlHQWcN97vuY5PSV6yQWJkimnefTJx7L4uHq44OEy41qfISTM9SFpNX0Uriy6Dus+Ro8nekd17i53uHhxgRePX+Dk0Qt4H2MiKAWs+h4HiwUO1ysAyJrQi4tTeO/q9SL2D/VPJ01m1I7YaPt3HUsoQnZiZHkEUb4vZMAV0Pv07D/dH6XG+VZ/Rd7Mqvj6TK0B8FwADKDaD/t4qsDWHq9LCpJaEbHleiWa1NKMtugIr6vuW5mizJMxQXXkQ2pBHp8LAFWaqxn/0FA8yIA51Mc8HwKcU2C60nb8X0WZzTEk0rj8nOcr96XgQZoJNOh7Mg/1Lrpr0HkHoAqwU/qawKkCA6NzMEmB9lq8Pu+nm6akpdXZfSUPOo99z9km+YI0r6YzNZ9OaybNGZ9veQ5a22GxWGO5PIAxFiF47KapYjlofdnO5ACox8f30PdLDMMG5+cvsnly1y3w+utfiXhJWxhj8eTxQ2itsVgv0HcL/OhHv4vv/IPv4Otf/9XmOD9ruaaiOWDRr3B0dAf37r2J47sxj6ZKUo24MXRZnElVXhGyJHmgl04Ex2iN3TRVjEmLYFDhpmbyPgKcLQlci4HihSTy+8w+eL38eYX5gUE8ChFaX9Wjqt+AovGX5mO0AWXb3A+Kj02ah9UMeIATz2pEMwkaKo/qyvubGTjMDyjqDw/SE+8BdJIahhDnIITCrEQmUTDGqH1BjC7aU94f7o/EBQBkCmZNdNS2yVdS+loqraBBOa/qg4u+K60RXAGKWmt47VPYbjbnZCqrFJQKsJ2BMcssgSZzWSAGnNldbDHsdvDBZUA5jQOcT9o35xC8i5rslL/2uhVJ+GPuXhMZKxSTOsV8m/l7blkgyL8lmAshwDmHaZowjTE/F7hZUvIZibnUVDZPy3llydRIUy60KJTpjIFKjBGZ5kcSEICGgImXq/yB+P6nvznzxkENFZ5PU1oNfJY2c7uY7wduCpu1lumeWvtQ1wPR3lWMY0tgplXJCeqVz3txSubtRhdNhvO1VF0ysHL8HJAGVYRseWyh/d5UulfnOvMPkSlXxYpFjpOe58JHreK7dg0GksZAprTZbxVFE+ZD7aNZ0+FCG6nkYEBJjtUZg8PlAiEAl9jFs9hodIs++2NSudwN+YygyJ8Htw7w1jffwmK1wPd///cQtQZuNncS1FQgS2tM/ppacYhzvYrEKTT3+bLQbOa1woBJSL6X+5lzcUGcpRXgEX2Qmix65y3fzH11xuElfo/GrmrXJskDhUg2M39CddbDqN2cJE9QAcB8htTzwV1/slBdhcy7cfP6qwRiQIpDwfgeNvj4YXTlSqONngkGAoo5aqvEZ9O9IWQTzzq6bPk787I+WvMoIJ9p5E6SaSRFaqcGNNMihsA/4j2CJZEgnAsflIp8f+xzlCflFGBWw43kM6ryHBFwy0IWMSfGGmACPHyOyaG1Qki8mDbSKhHwHojpGg28N7A2AsvIe8Q0Kc5N8D4GAsxCobS/jNWYhkKr+n6F1157By9ePMLz559gmkYYYzFNAw6Pb+H5swVOz57BGIvt7gI/+f0f48/8a38GB4e3oY3F+z9593O7SF1LsElI/uDwNo5v34l5NPsOtrNV5CcqIYQcHIheNie4mVHSKmu4dFqU9DxnFvkG5j4CLUkFSeBaEqeXFSnBiu3VxKvF5LUkTLyvEvRKHyK6p2LAFV3XbNMUP07yA/WgiLAqm9xmc19iEoG9/TU6hqD3icFSod7c/IBQqIk6EBk8GQyljLW04VNAIhWSTyjz5SHmiM9L2xc2glapdchzh5i7z2qWjkVruDClsRTJ8r7CJXMqpMi48p7kl8Gf0QmoU93doouatNgoptFh3I3Ybi9jUl/vMbloLjuO0WTWsfya1xVo8lKtSZATf/pbaDkUVM0x5MNdIwRXvquk1fGuqg+IgDKkQBvDbkTXW3SrRT58IdZGCNLctdTlXUDQRVMJ6LxXuNBECtdaYI8Lnvhe3zdXBdTW+7zFdFYMvWAI9gGyVmltmQwCE/AymgRTdf/iuCOt4n8D8RqnpxXdlQy4KgJFEm5FWhi/W12vJ4+aOeZ1tyLC8vniZd9v8b3WpsT1nLW1pbIeaUabASajhdJns3X+yT7uu4cKMdtEw5ddNP1yy7hHeucxbGOu2eXBEqvDZXZbUEphMwx4+ulzfPTeR4BSOH7lFg4P7+Do6C52u8u4B0GaBZ7CweQo2z74pAXXf6wz+4tSgvdQxogI1iFbAIQgAoMl7SfdrJogL53XaFsfFOwg5lXPtTy8kBYMmoIPNoAr6oiw+VnFBcZl/dNvBSjWfYzdUs12qI68f6l95uvZGj9QeDf6idNmfp230+LX9o1HV8+25ynPZbKckkGE0uDjvUXzkP6e+11K81keEGrWtk4zkGicG12eNy4Qh2K7jwYiAZvgeUpOcZXBYzxf63uUjgEXaaxudDBWx9ybNvJGWmt4JEG+jnwirRfFl6lSAOf9tAJYhGY6x5Gi7AY6V0KAmgDnigltCD67MCnFaJRmOCQETOOUc3MPuxG2tzA7jdu3X8Urr72J3//uP8Fmc5Z5tvd/8i7eeONrODl9Aq013n77l/DixWMsD38Vv/Tn/1X8/m/9NhaLNd599z9rvrPPWq6lGa01He7ee4A7d17F6nCFrrcwVmepSFzsSeom8vlQuGUgbc6k2qYcafRCgXYYfqCWoudrjb+luWiLadv3fO4rbRw1N2OTDJHUAuRDgwHKljnsy4AmgeaWKVXVDyS/pnTNapN9nK4q/HCIGpn53PD3IplGrr2IjJG8R2VTVn4t1y9MkZVKvm/sHqN0RbQy4akY8+I3QW2GAExJqm6NQWejMIQINZC0A85VhJGPR445F3Lk97zvcd0ba3J47pDmw/YWwXvsNgOGzYDN+Qa7Hf2/xDjuMAw7bLcXGIYtxnGXI9Bed6DZLGLuKbdv4RRUsYvKa4CnUarTQACAMR0C+W8m0K9UNKn1vpi0+eRPnvOjCqad+sXXBWmI5Hom86wr6Y94phXca84YFeEVHyMJxMrf+4ETmaZJIc/PW7gpO9VDVgghFFNNntKK+mrSXiXfqybQFIC9zEesx2iVU3n06T/lEbbGoDMWVuucY88m814y8aXv5AvJ/SGlwJHPJX9fUhhB8zt5h8G5MgeJRuZPH/L/fXIvDjSvKjxYWqZvjbUbv2O2LokuDpPDbhqhFLBeLtAve3SLDtpqdIsOR3eP0BlbIoF6j3FyePrRE3z83sf4+L2P8dGPPsKTJw+xXh/hlVfexp07r2O5OoS1XfEzNTYxZRNCSAJIyuF9TQMEkYCrpiO14Lo+/9NziQ5RpFAAtRltY9u2BKkVoOGmmYzf2gdUZaEc3jMhP6ujBPKp6yefTN4GkfeWqW1rH/LS4sniMAsdlvEruMDNGpNokEFvbcWv8FRrZLXC26V5reh1olv0T4LnffSk+m90zXhqVflEAgVk5mdIeMBAaOTB03mYrsczj9KAlXNTk+8jP2vTy1H8HQohhXSDaL0LKdSgfeAoAnzi+3h/AjtHIOawOpddWYfaaNhFF9PQpUB/VC8FYvS+nOuZd03tRksqhe32AuMwQimFxaqHMSYLgt78+gMc3TmEsQa27zCNA549+QRvv/2LaU4d+n6J588/xeXlKd5442tQSuHua/dwfn6C5cES3/i1b2CaBjz40jufOyDataSWi8Uad+7fA8AOW6byrqJkOQ9lTU4kqxSAdB8BzWxeMAM1xZQzBORopvu0Afz73NS0JghNqZeqGZoZ8WAmsrXfTMhaNrmR+O/S3G2f9I2XKMkJOXkvxduszL+UAmlSqI8ESKMGMiCI+TAKWboeCVMhoFLST2ZlNZNYoq9xcNliaDnjTJpM6iM9Q0RKank5SFcqmuLygBw05yqZvZBZNdeMEuA0Kb9S11sE5zFNfnYY0/rL+S1dXLduclmyB3LA1yqmNdGIkjdN0WwL08br9N5jGh02ZxuMww673SU2m3NM04gQHJxzGMctNptznJw8TtqAP30gU2ogy14RNwZmThtIUyTrKRLL+AgFe4mAk4IDkXQ3hGSKJkww6dkcFZL1jTNVlELIamZKJUCi/ox7vz03bQ1E62Cntlr3kSaQJ0HnUVj3uRy8TGMQQjThpH5KgeE+sKSUwqKzGKU5WSgCJaJ/QNHCyfa5xlSjmIuWsRWaJcezTwtYRVsNtcVFNb+qaCrJ/YhrW2icLca89U55O3ltCiuO1jPShLbQwfJ+SQAi26UzF95jN5aotF1ngYMlxt2I6ZUppjizFttxzPVNw4gXj04w7kZ0iw6P3n+Ejz/+Mbbbcxwc3MLdO2/g/v23sNmc4uzsOYZhW1ls0NgiCO0wjsPecX6RC59yvm+5sCKvPx+S/9t8bfI68hpOgn5OLL3z2b2j0mrSJjBXC6T3acq4xRjtzRZvRXuE1hL1P1pAFCEHfRLGCUzGR8LiDPoY3eLzwqNaz/YaavArXYs4P0E+z1Lo58Xck2UZ74MMWtgqSqFKj8JNaVtC7hYwreurQV8IoTKjJaAJVcxVI7/OBKqsLlozlXlvg7eV70D2KfY7FE2lq3nf+J4Lf2Q7C9OlXL+umNRSerrWRGoNeFWvo3z+pHyY3pX0LiEEBA0orxJ4Lf/5HCqlsNttcP78HNYa3HrlNnabHU6fnGIcRjz56CnuvnEPp09OYaxG1y9wchr5ttdeewdPn36EX/qlv4B3v/eb+Nq3vonFeoF//P/8CLa32G7P8O6338Vb33wL47iDNhoPHvxCcx4/a7mmYHOFxXqBcZhiBKnOZiBpLHNIrggiSeHSJmeANOeJUkps3HT4KVWBKEloeSGgCew3UWsBvZZ/Y/mtHITUD8mQZcl2o82ZRF58SrMMaYrivEdnimlAa1zEZPA6ab4m5yrz231mIK3CiSfvc922BKcsL6eYJ2JyyExaAkulij9HtiABB6zI52415zQWyIMk/uQmj2DihrTawPcdnKsZVuoKJ7CcmOak2z6aUsSci2OsOxR/AjelIB1jzOU4DROmYcSwHeDGCbvdJc7PnmOzPccwbBLI3GEcthGAbs+x2Zxf6zQnf9wSzVuuOuDq9Cd0H82l9xOALv2GLFH1k4O2mpnO0wEdpaLeBWgrtA0NBozcAEg75vYEOSkAqoDRFj2ie+WzND4usOFCNs50SWDUMnXbF2iITGJfBowrH9or3Bb4PfQ3p+lGMJF1XjwG/JjPouJEAUULEYVUPtNuMj3loJHqlWNOP1R1akaXOK3nNFX6lPN3tQ9U8t84E+dZX/k883HIel5WCBhypkwrBSQgEK1AChM9DCP85CKt9AHroxW6RYd792+jtxabYchTtTnf4uLFObzzWKwXePLwCcZxm0Glm0bcuv0qbt16BYeHd3Fx/gIXlyfYbM7jPKnoX9/3qzSg6ylo0zZFwjQ60xpldLVjuIZIAg9+rZjhBgBJ6yPuy2vLB5BQ2gjfTikUqda38NcEC0xzldUElcyTyL/30BS5hwikEj/DNalyf0krsQx4GF/Zys2ehdpMOFUEWHP+jMpcWFMEYi0eMd/HhEbc0q/1rlslgsRaUN8at0fRGFJb026Ma6DkGZwLPXjQH6UKWEW9plr95DQsM4M0NwRg89oKOV5GNKc1sCnGC5m2KqWAJNDPwuDgixIASRtrTfI1Tf1IQhJtNdSY/DiZ/2fqJAAkCwsPpYaq/7vdJT78wYd455e/jM3ZJfrlIre7OdvATx63Xr2Nk0cv8OVvvYPxn+7wxlffxOXpJX7rn36CxXqBYdzhu7/1W/jFX/lz2G4vcfr0FLeOX8GnH3yEN3/hTRwc3IZ3Hl/7hc8XjfZagk2lDfplD+9CTgOgjYbtuxw6mZtk5GBBRscQx6ZWt8eIhTpLrvL1RFz4gbvP75EvfB6JtgUeOYGQBK8FNMv3elPPNHBiniTI3AdwK4mKbJ/mZ49TugTeFWjGnCmqtImJyZRmIVQ4w1MREDZ2aaUTGTwG6hNzlCWaiIwhdZtLOvM8NvpCYHrfmZZ9tsL8IKLv3nmMPqDvLPouEpdhO2QiJsfOnzXWFIJLZikh+hu4ccI4TPDOpU8ffTD5b1P8bXcZNZrPnn+Cy4sTjNMA72LEWcqj6abxT5VGs35PjMkSknPxUCVgoMObm87Sc1Fq6irtZhEgeBhTmI+cjxXMWoO/exTGrupOYsAyIElAUIU5feFDkKCM7+H6ublGlAu94t5WM2HYVQFxaCxNLV2zv5xORXpIFhSjq4NuhRAqqfHcTUznMWXGSIDBELivvq7+zuabDAzz5ybvGG2qpfD7fFL5PMzMiQWdMowm+xAwJil8Z0zzzGlpfHh5GVCs56JtQcPHwNut6Lfwbef3lfoKXlFKwTkfrTF2I1aHKxzfP8bRcgmrNZZ9F01uhxGnT08xDimVSm+x2ZxXIGa32+DJk4c4O3uGw8M7uHfvAY5v3cfZ2TOcnT2Dc2Nev8OwBVT7zLsOha+HEKIFGG2SrPXR4v2oOS2cWVroQheh5jSKno+3FIZ7H9CkNnif8tpAY5+wIjXqvJDQxugS6EY+x3k9vs9bvBZQ004v6uL38E8OUjP9YOdO1+BJ+bN0DYoJ7BKt4HSp9KXeg3zqQr5WfHZbQiX+LL3LeL+qXn0IbLxpjVC6rww0gaTtFkJGIp66WKvkdnn7KTd5C/zP+1ufXxHURuEwnZNunHKEVymcI8EKBeQDNGDjmLSOZ3emd87n+fDKw1gDNwHaFIFLjKzbwYfiS26MRfAOWplE+yY8/MFDvPMr72DYDuiXCwDAndfuYHO+Qb/o8OUvfxk//v0f4/jeMRbLJR7/7DEObh0geIftxRZHh3fw8OH3cf/+A6xWRzg4PsB/8S/+Nfyj/+tvYNgOeOsrX8Uf/cHv4PbtV5vv+bOW6wk2VYwwq+0IY2JuHJOc3Stn5ch9ZcaDNJ6RQKbNkAAoFTKxBGpGRCXmjW/2fYc3Sfflob9PGsMJm2QKJDMoNaDztmspWAWiXjKv0qwjM8Dpb56OgJvkZi1GqCX22eTjCmYyA1AGOKOmJZBAqurPnHmtTdLoM+fHEvNHfhPUjtGAQjuhO9fWZqCqoumNjw3NpIEqFLNbraKfqEeATwov5xx2IWC56LHou+hrtB0RAGij4CZav8L8LxFGCg0+DWM+KGZA1ft8ALjkR+Bc8gsNMay/tX0OCEQ+mSFI3xeNktX4T2+JQX/8bN8HIAUMrOfMi/QwSilM04BoOhujzvmU6iH4AJ/+u9HFqHQscEN+H1cAhaydYGudmJfeWkzOgYL48BLSAKTpHB8jUAu8JJNEe4mAJmeUpDCs1e9WLkc+hn3AtzO20kh2qE1WeZoj7tLAARoxnMSUcY0FgSsSHOY9zjQCkmZwhvGKmF95PiSt3Ddu0lZ4RFrMBXYkrAspuEuLjr2MAZNM1VXA0zOazM+DvB6AzBjOBYNlDnlUzpf1zTsf0zY5h3E3ZOGC1RrrfgGjRkzO4ezZaQ78ZoyJidFDCfQVEOCdw2ZzjiFZcRwf3cP9V97C7duv4vT0KS4uXmDYbeDcdCU4/yIX+c7lOPl5x8+Y1nyQP15eY/tMXtn1GpTUIHNvO6x+rtls3cML32cEGIES1KwVXR7sHsv2Gu0/4mmkQJg/J+viQiKiE1yAz5/J+ycJxbNbDpsnySe25k3ua9qfwFwIGAKyuSjVl/c0A15Zqwh+VlRGGHE8Xvpihwg0vY9m2TTGdPZpnYSqNA8oPIxSqoqYnIUPNK5iTBSfTdpLUih5nVIyTUmwq1l/El+lUwXexetk8qqtybE0QkC2BvDepz4mbSk9k7SkgQSvAEwwqOmbA2DglYIJAc5ZGBtpOEWhVVrDmg4heDz95BEQAmzfYX1rDe89Do7X0Upts0PXWyxWCwzbAXcf3MP3v/t72O1uY7U+xm63wV//9/4W/s//u/8tnj//FG+9+Q386A//BVbHK5yfP8eTh0/w6pdexW/+k+jX+XnKtRTNZWl1FcyBm3bUjBr5Z9Je5ERPblBOBG0K5tDlQA8656/j/aDvQG3y2gKmnEGTpfgNovrkz0l7f1448ZI+WvTJ/0uCxeezzEEhNBL0SUaxMJ7F/7GlmeDP++AxTFPJYYWSWJza4tI1XmfZzknTwd5NFoypuY8RMeYERst8xN9ah0QG2OwAlvNI2lr6b3RZL0ohEzDnoiRea41+0cF2MZgPxHqR7wZAToA8k0IrlcFodHKPz9ik+c+/dxZ9v8B6fZTNxZSq3zs/SGS5vgzYHlIZ5pFkab4ULZhmfYrdqzEOu5hGJng45+CTllObYjrrWYABer8x4JlHy1TpqnZJyw4gp4Tg744LY6QFRBk6YygaGlD6rIIyNMxXOV2Q/kxXARvaWzWdT4F8klm/ZKaUUuitxbrvsbA2B+Ch34nuhAYdzbkiaU9BZReKwP7JSKw0Vy/TDu7bOy2AKK9Zo9Fbgz5FWp+cq4Bm63muPZd94+vkswJNoAbeLS31vsLBOv+kvtZtqOozJMFMpmHJFG0zjtgMQ8wZ13VYHiyxPFyhW3bQRmMYNleOZbM5w+MnD/Gzn/0RLi5e4N69B3jjja9hsTyAtd01pnUFuHHhijRnpBJIQ0XvkDSUWs32P2sk1yP3KGmtWstlH4BqaidRaMlVAJXzTbRneJ18D3C+xuhyhlM9dG8rYFCLJ+NjCaxupWrAx/eSYdGkQyg8SS0ArPcI8SdyT0oeteor24uy23xs0gpQqcJ/pMpyGhM6EpViGmiFfLZR7A9SCpG/ZgiorHdICRTzUopAacS3p/9axxRhFKgIQJUfNo/DlnSIUatY8mEqdsbQeWx7W7nk0bjyPGiWNzN9rwQtPmo48/vRNWiOfTIwxiZrzBiZljScOgHPJ08e4uTxCbRWWB2ucOe129htByzWC5w+O8PHP/kE0zDh/Pk5fuFXv471wS2M4w5vvfVNPHv2CRarBfp+hU8+/jGO7hzjo49+iO/99u9Aa4PTp6foFh0ODo7x/Pkn+DzlmoLNpM20JtpPaz2TpnGpnW4E1KANo3Ud4pwWFEVR5eDOarOXMaPmOYjh7VEdLbMKI5gpkqZzJqm0UxNj0qLV86Nyve35axMkMp3kYJfPzVVMiTQ54VpIGncLpPJcdHR4RAZxf1/nbZb+EvEwjEiSaRS9az6mfcCfv7PWPEoNszwMIsPKvov14JzD5Bw6Y9EtetjO5rVK0dgq4pkIFUU2iyYuqb6k3Y9CFXrelPtzAub4v+uWWCzWODg4hjEdW3s6M9mtub916z7+0l/6rzfn6zqUHGpcrJH4G2fOfQXQJQPdOtydn5J2k5gaV7TPY8ppOk0xknBaCznkuQ+zeqm0mDBOT3iu19psHhk8yTqp3n10ZyYIYY/O6eKcIaP6uc/2PpNKOU5qi/6eXAzwYo3GsutwsFhg1fczRrDFtBJ9D6H4SsV+MQ0n8+3cVyTjSP1kMqGqbWI625YaNXNuTfS91SkVR4way/y6lKrWq5zLffPZAqDV74z55nVwISB/f1KLyedFasEBNASALCI8AiZXQD9U0YQt1osstJicw26acLHb4eziEqujNV5/53W88ZXXYXsbA5xRhFk139Peezg34uLiBI8efYBPPvkxAOTItZ3t987PF7lEpr9mjDmA4GA0/p1vKvdrMvvbz2NIOhUysBD1spyPvH0A1b6cCUww39P875cJTqSJLW/D6Dp6vaQlUrDcqq81H/Qs3y+cJ+L3GRX3PgeDnK9rmtujbaHG2+XzK88u+Q5a74Tzz9D1vJTvBWARoKyEhlxTSfSX1ZNBXuKDOOAkK8bCJyV+h1xJ+CfTvGtdR9Ylnqqap+j7FQUK1iRFgMqAMz9D/FTirSh6Ll/Tcr7IxY/wSs6ZaTS0tjDGwloLrQsI9t5jt7vExz/5BMuDJR598AiXZxvsLrY4vn8LXd9hc3aJ+2/dxzROePD1N/Hqm29gu73A8e07+PDDH+Dbf/c/hbUxv+b5yTnu3n2AJ48fYr0+xubiEufPz/HWW9/83K5T1xRsKnSLHqaLzryZuU4vkBaXEb6ZxNzJ0jTxgsqJuvmh6gVxqusp3znDJxkcMsdtS8eYdlTUv8/Uk5u0tpg9ajcDLtZmxTRWmlEG0j4D88LbkOCZj7OMxWdzEcNAofRL1aKvQTwjJXSSwSOtDt3bmnuqr4CF0m4r/Q0R/xYQ1qJfvE2lyiENANMUGeXOmhjWPxEsWrcVEU/EzRhTSeHyO9U67wPbmSi1SwQ9h99OxNkYjcVijeXyCKvV4Qw07Stvv/1n8Ff+7b9+5T1fxFJpLVG/Z6j53iLAGZ+9WlhBhXKVUnHO5TVE29pNHsNmVz1HQc2ozuahj2Tiw/aJNAcj4Vlc03It16CylriXOnKf2B7kYEfSOyl9r+ajYjprGrWPwZHCr5Fp97TSMV1A0nqNbsLk3MyXc05v2++v8k9E8aMiGmONzmlNZs826PTLNYaFYVWqWNUQPYya6ppJlYJPvWdcrTUqgYBMHyH7/lnPzZc9A5S55T+37s1pAFKOOmMMFutFXCMs0Jv3Ho9++imePHwC7z1efec13H39DlarI2hdPIm4cKXqj3eYphGnp0/x8OH3cX7+HHfuvIZ799/cO74vclFKVQnr6TVWYIGB0bwniQ9iAmLPBGF0vkExYJN4MmNNia+hi/CTCrfQ2adtD6x9EpbxwulGS5DTBLON+6zROXI85x04aJPPyLRwci9yusz5Cvm8PNe5wNxqFuE/DeFqIWDh+Vq/0z1X1SHvr4UFgofkQC4pgpyjAEHzCO+5PlpPgVtpqbxeoBKoszpHM65oOGlVEx8EVjdfZy3AqVQNONPFHKTRdHamuee8H+fNCPiaxG8pHoAr9xsFJKvIc5vOout6GNOh71cwpoPWpV3nHD79ySe4/dodDJsBy/US2hrce3AP9x7cw+XpBovVAtvLLd777ns4unsErTQ2F5e4e+cNfPDBu3j99a8hhIAPP/wB3nj9qzi/eAFjLDabUzz/9DnuvHIf9nOmPrnGYLNL2qCizcrpOShZcTb3oOuF0FE99EmEwKSgE1IDpxMD0DKNzf1CG1hxIpMZMUZYtELOscal1Lxflfmo6AOvn/pamdEKEzrZd802T9ES6qreJrDKh1VpV5rQSubnKk1iNSbBBOd6eXuMCBimlSIneMP619Io57kTAJFuI4DIAWceF1Q2s5kReQFuc1sJpHK7/4lMNghwapKaAbYz2Ulf6aK5BFCIFa1ppr3UxqQkxQm00mFvCiG0tsdqdYjDwzvQ2jYPYlk+/vhHOHn0Yu/v16G0mNH82wwcpfWXDkQqSlgkRF9Yn1LMBCBQnrt4PwnIAMQI25pFK0xrYQaYxAFJX/cBHc6sZPDa0AzIwD6+2gtzRqZVpG+71JJdpQHI43sJnZA0zwePy2HA+XaLy2HAbpywS+b5E5nop/9Su6pUyZlb5qFeC0SPJN0MIWShZKu0fDepnn0+W9aYGBEbIQvlJgEGJT01jM7x8rJ5zoJZoQ2fMfxX7It9dbfOPVl4XAP6Lm8l2rg6XKLvO2ilKs2nCx7nJxd4/ug5Pvzhh3j64VMopXD//lu4desVrFaHGXTycyXvTwr65GKk7hcvHuHx459d49QnodJsS16CSmbUlcqMPDHVs3tQgCavk6fTiNcrUlmZYNJ9sh+zfmYXEiS3G+FrvWet0TrPgh02Bxx00hrhwHAGBCvay0Gl4CcZCJUAU/J1+36zxswEJSE05pLNFdd67uNZ50qEImTg1lVXzetsbyffS6VU9GNs0PIIMD28S/Q4WWbxwQQfarcSao+dh1S3PBvpk4NRfh8/P/n7asXJMEbD9raAxQQoAWQzXLAzKfKTzPRY179RZGU+ftn/vlug6/qk7TSYpgEP3/9xBKYsYv3jnz1Gv+zhnMPJkxPcun8LH/7wQ7z+ldewXB3i/Pw5Hrz5dZyePMZisULfr2Le4aNDdLbHxcULhBCwPd/AWINXXv3y7P3+POVagk0AKfpsMkHsEyIXhCpLG9hi0iYy34r8Lw2X+iRJA5N8kFbAGlPVze/hEneuAZGAs+q/qjVw/D5OFPeBvX1AjhM0+RwHlC2/UAK7Wl0tnZP1VZtJHlis/n1Acx/BJbDIw45zAAcAUvpIz/E6JJHnY+JtU11l7HUfZ4xuApyxT7GdjmtSOYilg4fmlswkXEnWbDuLxXoB23f5ANYVsUIOIZ4FJgmA2s5kc1pa64ZAJ0mSTQGgXddjuTzAcnmAw8Pbn8kn8PnzT/H3/vb/5aX3fVFLSGkq+IuXTE/9t9Bu7lnf9Ow0DdFEJ0WtzeY9SVBgrIZPZqFaa3bgpuqlTwjmdEWxtUs0iQAX8HKhDwGwprUHp01aV3SEH+bcEkTuNQk0W0wlb2sf6AwhoEuaTNIuUt/5J/13oWZYgRoUV4I81FpUTttj3dH8f3K+Ekhy8FJA+nwOZeFMZdSqxCAh0WR2Pl9XAX3Zhg/hpeZRfJ7yHLxkLVPd0iSwqTlk60D+LtdjUxulFfpVj9XxGouuy/eRVnvYDBg2A/zkcXl6iZMnJ3jv936Mjz76Ifp+ibt3H+DWrVewXB7mpO18HEUAHH2mQvA4O3uGJ08eXjlvX9RSr6f0aUTEfq2qOALEJ3F+KdaFdD1Lu+bt+Rok5dJggPYB3/yIIYBQ+k6CZmmSSnRABt8CUPliEvj2yeVAqxj8akquLpNzGKYJ4zRlX2kpOKO1yAMOOe+z9QXdQ/dT0DbZP+JvaBzUPgnBawsTVM+15u0qNytZ8jkjQGyVhgT1vpHm+FlgNU4ZEHvv4Z3Pc0wNEWjKpqVKJRDmappF7aX0R7Heui9kLtvSiCtV31+fOcysXKnMX4UQsqCk67sYmFEVX9PCf9FzbE6VKkFLkya1MrXVdd+pj5FPs7BJy2mSpnEcB5yfP8fDHzzE4Z0jXLy4wMHtA3z844+xPl6jX3Q4fXqKe2/cjQHUjMH911+HcyNWB4foFys8f/4J7t17gO32As+fPs7+nOv1LZjO4tUvvYqvfe3zpT65lmDT2j6/bHL0JWYbiAvAMMlF9IMyWbtD5gk5N6cALAq1NpH+5oSQgkQQU8JBEJcucQBIG4sDVQpg0ZI4cWDTMr+QYFSaS1wFcH1ApUk1qiYoSil01lbBRTgQ4/PBmRReD/lIyn4FRCaKNKoSSNYgtw1q+Ryo6n4OBON7tZk5bvcZKNpLbgoT70MZG5NQSvDI3xsx+1zSmcdGc8iIE8+FaDtTtPZZy8kIW/5fmIMsaTMlDVD230x7Q6f8URS9WVudtZvHx/ewXh9X89Iq3nu8//739v7+RS1KkV9M2ltXzEE8rDS49rIScGWrhLkZvZtGBJQDl+cxpQM0eGBKqWokM1z6y7+n9SB9TFELcCiQDJln7p+LNtBuMWl8vPJ++ltqDvaZY1ZzWO3veR+JcQNQhIBJ8CNN3K4CTaQZa2kMgbY2LwoKQsVw8rEWDWX9nFwLVCJYjv+1inRZajFbY2kJG3Mf96zfz6L94b+33DaoSKDZKq33Wa+XUhfX7GbQQBorH2A7i8P1CgtrK/NZ7z0251uMuzHWlRjE06enePz4ZzG4xsljrFaH2Rez71flLAq1HxtPXeTcuHdsX/RS7Qtd7z96pRXjzqLJzmieilE8o8YmVPST6FPhAeY0JvMKtJ4bAvN81qGmddyvUvJbcgz8bxLwZh4hmcQrNbfAILCoVAShPoHAYZryd7pvZMEOyZ98YoBTgiG+17gA5SpriXo8tVUEX88zCzcltHsvoXXynAGYFWGDv8zrxxGITLEBSGAWYsAcWiv0TAgBfnLwKWcllIr3pnMypEjtnsynG+C5ysOa5xX5meaYQ8jrUSlmtpvGGcF0NMW1vc2uSaTBJ0WASUHbirAmgkptWBAi8s9kfpsx7kyxPusWPYyxuT/WWBgdU6GM4w5/+Jt/iMM7hxh3AxarmALFTQ6Hd46wvdhCKYWju0c4efwCb3z1DRjT4eLsFK+//lX89Kf/AvfvvxX5lhDwV//W34AxFuO4QwgBH/3oQzx+9PmEa9cy9cnh4Z2o0bS77KCrDEXiTGaFick2nc3miHRfXhSJ2Fj6rmJY5GyCIEyTtELegZTLMV6fM0ryGte2SSkLtcfBamsjEwmtzTprUy3JqPkkpQcgiHRL2zpnWqKvF4/myCT5JPEX9dM8kYbUpXD0/DmynKE+KjWPzuZCSExzSYNidAT6PDEy9U0pHuSozWRqFdOWcAa3xQA6n3IvqRICPoQ4LnpXdSJ6Bc9MXegQNEojKJ8TsQORkMUcsfEzfi+Htu1KqOxpDFAqHvRG23wwT26qmARtDIJ3KeGwy4DUGIPgA4wx8NpF381E8IyxWCxiKO3t9gKbzTkmN15pMndxcbL3ty9skYd6ftn7bvdoRa8te1cnDWbZ48H7mNM0B4aJUWbd5OBdSoOS3/kUBWNd6dtV4IOWOglAsmYRAQYc9CJrTWV+2dxPcY0a4IxLiz5xJmaf2Vb0rdwPTlt1tTSEPjEuJgnuFOp9vK9/IQkG92luqU2lFHIKQLEXipBR5TFVcyXrS/QLiHSOCyItCUdRBHAtRqrVx5cxolKb05I6B3FPq4QQqgi8XGu8rz1Z96z/dG6gzMXLfEZtb9EZg5E0PUphSvtnc77BNE6YxikzncN2h3EcMAxbTNOAcdzh+Pge7t59gKOjuzg7e4aLixOM427GgMb/VwdQ+kIXtr/KpQRSkIlJdY8SgLQCIjo9JfkJ6QuXm07teyBkTwRVuQ/kuhugSFocSPAq93a139m4uCCM9qNROgt/jaDxfN9zoQiBONLsu2w6XJpUgVl20PiDMKVPmj6i49QmjftlpbWHKUCcHAefL64BBAo9AuZChn3nEPFePPoq13wqpfJ5KNv2ziOIOBWkweRzQn2XdVTmttXaDhnsyn6We0SfIkMaBSTs/Xd9dDVyo0tnSUjpVQDvyeLMAYjZBvj4jDVQLrU1BpgugtMYaT65SDkdU64Q0LQ9+sUKi+UBdsMG47jDRx/+EI8++BWYzmLYDji6c4izZ2e4/dptPP/0OU6fnuL+m6/gwx8+xDu/8hUcHd3F5eUJ/sJ/+b+Ev/Mf/RRKaRysj3F6+gSmM/jWt/5i9IHXGqdPX+BnD/9o9m5/nnItNZsFJKS/SStpVA4UZCwLpJLAJTedVYo5daviJM8JlU/MkU3qcMX+kZbQqFrSwzWckWioilFqEUYiLly7x7/ve5YK9/mkfhWNK33qql9c8sUZSbmxJxd9hlyIicN9wNyvVEgbpZbFsDZj+H6bIvvqmMZAaGupXq5xprnMY1JFGso1kVLyludRqZnEVBbLTKz42ih9qt9jU7pH//g6SqBdBhAwqvhEuOBhdQSZbvLoepulaXSPYcGvAiOYlfaT3m3aAxQSXJuYmzZq9+N6tsl3M5rS3sF6fTSbk32A4FoVlTTFtG4bjHNgQhb5d5U6RjBw/DrPZwrEiLQA4MZyyMTD11VS76uY8BytmD2fmQfUe92H4vsnU6FQffTpRT3SzJozQS/zc+WayBxBdU/bZU6vBqJ5/IigY5gm7Map8r1sMZ5UWuZlrbnmwCigWGNQHbIQvcpRW5lJLRDpE5nLRuAbNZlkkstN66T2UH7+PIX6KtNV8XngYJKDP55bU5ar6AMH1q13LvvGz524T2oBHQDsxjHX6SaHcTfi4uQc425M2o84vmkaotk64jk+DBs8f/4pPvroh9jtLnH//lt45ZW3cbCOEbn5nqZAXtcVbGrmElR81xQzkUV1jZvOkrm/IrcM4rPIakfr6gzmRZ6fXFhaady0qoBq5OtU/TyzNpM8jTyb5bWapyiuLxzEch6GnpfrVJp+BxQtWplH5N8IaBpV8xWSpnkhwCJLLV72mQdLAMVpofRL53RMjjnWgVnE4tl8p/dNQLP5PvMkhOodat1YH3HTp9zTjAYljXJLM9zK60r95xGQOS1tBQrK/9n1EKLwIEeS5XxWVl6lvcGUXaTtzGNNyrBsYZndnYobDe2vmAe9gzEdFv0Sy+UBxnHAOA34/j/7Pg5uH2Bzdomju1GjuVwvcxqU17/6Ol55+xUEH/Dq269Ba4vV4Qq//Mv/BjrbY31wCz99/3v42//h/xHf+LVv4m/9j/5t/Lm/8q/i9qt3Pze9u6ZgUxBFXey++0WX00NwQMI3oVIsoAwjIi5EcKkzw1BvDipSe0VlbtKJAs4axHcfIzQfb725I1Fl/lJMEkUh8jnhrMCYmoNLKhwI8SI3OmcuJ1/yvM21AL7JkHEQyBkqYoBlIKaoIYU4APbXKeeavw8lxs6BK/c/o/oycclChvJ8C7xTIaBRp5xgprb52UjQvYsMnrFRMjaNDrazyTm9NtnUNqY9gRcHik7fFQuykQkoJ5RIprQG1nawtsd6fYTj43uwtr+S6FxXBgxAFcmOSn24FaBYH2BR0xl9vgo4ERXBewfnxsRQuJRv02GaJkyji2vAuWKSxuc6SYDJTDBf9oJRCXOtXjVGVd9XgdPGc/sA2742uMaP9oC0WODfZd2SVlPh4I36PDqH7TjO/KhaQjoSVElASX3cJzzKdTSYPTkPnFbUc5LosIpBmsjKZUp0Vfa9NS/U1yDmkrf/sn3bCtRE9dDfmR4jZCFjBqFJy0Bj5eC0EtIKcMrBrCwzk8VQhBJ8D1hrsB1HjJMrggvvsbvcYXO+hXNpP6XfotZyW+1Z7ydcXkbz2keP3oe1HV57/Su4d+8NrNdHyT3H5LOOC5SuU6HosCXvIIt6yngqrtEy0vSenmOWYjywDI+VYVIkUUXuTJ1N+QULA59NEXUBlSQklSBQCvRb5rP8jK4EvCS41XEv0plcnc2sLg4wqjbpd7bGqW95isQ/usZpR1WX4FU57TSsr9R/k+aK4kbwvnO3INqr2cVI1YJJbmFQzTUDy61YAdR3731MX2NqABdCLQznKQqzsCIBM6UUnPMYhwnjMGWLH+6C1QKMMwVCbodSkhQhCi9Ey6RWN/dd8FYhBHS9rdyfCjjVOSCj4msk45BagGNy9gymzW3xjraDNhZ9t4TWGtvtBd7/yR/BTx7DdkS/XODu63cw7kbcff1OVkC88bUH2JxvcOe1O3BuxD/+O7+BV7/0Gv6d/8m/i1/8pV/Hen2Ejz56D7/99/+zuEY6i27x+fMKX0uwCSD7o5ENtO0KMewSg14iduocIcpYUzEDlQqdaaS4759SpDVk11BAQyvSWCZQjRcoiaV8braY2T08ai31WfadP8elePvqldHWqI+yX5TzDSiS/qi1iEzJ5Dx205RNwiZXApMQkSAJ/pgZxKg53QfGJQOnxPzzud7X9wxCUfKnUp/i70X7TEQcqH1HavM/6Z9Zz7eMXMe7Ew8HpmXmaxEBXcq15MZIcPtFh37RxXxmydE818UkYtzMqZaU1YEQSBJIe8f2FovFAqvlEQ4Obmft5su0atepyL0hS0syGkKoklBHwDlfw3z+nJswDNsYBMF7eDdFgDlGDQ2Z32Rm1xXtTivIRulTe1wcmPFnXfCV1YYEW3wujBgT/z2DCpS1z4sP0W+JigSavMi506rsy6bfJmpfJ1kXtZHHhHp8cl3vo8etwvf5VcItgDGc6ZmQAByZzErAx4sUXrXqp78lsOPlKpBHWucYsKTQ49y/HPik/OfaFwAlIihqUMk15Pl7QzAZqr7UmlawNBu7YcQ0TXDOYzeNCC6CzWEzJF+wyPSOu5jGxLna75kA5Dju8OLFI3z88Y/x/Pkn6Lol7t9/C/fvv4n16gjWdrP5uk6ltZ8J5CmtczTRveuaPcPp0pyOJO0VO0+l5rNKA0HBf7LWkvVZgEwefdma2gKKniUwlrqc66ZPoI5iT+elrL+2VJvve0nXTLLYkvEfuCCJP9uqk9MwoFhx8GucdwBK0MoWTeTvZ8YfqdI27295rgadEVjFd5eD/JAmj4G0ku9SMyFE1O6RJrxbdsmCS5egeFMUwvJ+a10LPOia9JucpVhJID1H52cxW0IIWTNJ4ywR/ZkyyiXzYF1rLzMQFpZlBEjJnU+x+2xns4WZtnWwLSq5b1DQOgYmMsbCe4dh2OCTn36CxSrmAH71nddweXaJ9fEBvAt477vvwTuP/9xf/lfw4OsPcOfOq7i4OMEf/PY/h58c3vyFN/GlL30Lw7DBe+99Fz/5wc+wOlzhwx+/P1tPP2+5lmBTKZV8MS14VE7bWVJfRa1QChpEKnMOrniUUyIQuW66zggALy1wxokEN2PdB6CIyHBiE9tW1ScxWmQqy9vSwoSX6m9pLzmRk/fRPa2xEMg0zIZd8X+MGJaoa4wRTJpPYvAkgaWxZbNkXQPCFjDn80wM6fy39J+9Jwk4MxPKgSsdQrquj9dJZtfyEGlpOq2OB089ZxDvvWg3vffok+TXT0nD2XfoFiVRPaELFStigJPNk0qHqnivJFWLkWoNut6mvdTjYH0LR0f30HWL2bq97oVrJYG5ZrIFvAOihrI2GZoLEXgdzk0IoH0yYZomeOcxDmMOFc/bIglvCEDgKTyYn4pS7XQiLfpDhUwl4/42s/tIC3CVuW2sp8yVDPRCc0J/7wNzRO/a/YyfXMAm343ch1e1J/vFf+dMltzLACpaIZ+bM5zFdYGsGwhsVdJ5VRjEmUVJA0S3mP8sRHrJnpV+kaRRpeBRFP3WM1CZ+yJA5lXgVs6NpL9kbkiRO+mcIMsioAgT0oNRcDGMed27Ke6Jy7NLjLsh7w/vA7YXW1xenkRz2BnYjIAzJD/1588/xbOnH+H09CnW61t49bV3cPvWq1itDnM0yOtWyLoL4Jqnen3NtUYJDJq5UIYLOhWBOlXOJ35/XvempPHKfRHWQxy0kSuTEf/J75noFaV3UkjnNNM2EqjKEeFVOz0IFaKLZGrbJfN3ywCpEd+tMeiszTl/qUitqGJtloj2xaSX86A1Da21cCFbzpVrnB+R9K4ltJJ0JLclNLLGlLkNAdnHsNLIcoZVz+e0MstNv0cLri6bmOY0O5prM+O4bdKI09jzGk7rmLchU5kAmAlHWp9azzWelE82ajdZQCCmmaz5MGSATCCbwK7topA/As+0xpJpbdSGliBCXUqDQqb+Whv89A9+iuXhCk8/fopxO+LtX3wbR3ePsDpc4uzZGZ5/8hzOe9x78x5+4c9/A13X4+HD7+P3/vHv451vvYOfffAuvHc4P3uOP/ytP8RrD+5HSyuWB/yPU64ltcyblkw3yGSgMzFMcfZVS+Yiuph8WAEyOZHVKEQrhGLSydvlB3sGIDpFEkymUtG3h0mI9jBeQNGecZNYrULzkz/P+1SbMM0P/5bUnO6tJGeN+zijlRmjVGcMPBHgkSIDhuIsX7dTm6tRkB9ialqEEGBpEwAEcWCR2QqAbOolGXUCpB4qS4s0KBIv0ntKAX9Y+HRiiIB44NDYeB/pnhkzy+ZNqVq4kKMoBgAqJOFBCbU9egcXPJa2R9dbDLsIQGCB1XKB0SmMw5TqT+1pDQ8P5YnAAhoasICbAKVDkbQlHxvtQyJyiMEM6L36Ixwe3sFyeYDLy9Nra0Z2VQnpVFMB9anOCq1jH6M+AYhglYrWZuYbR3U5N0GBBX8gwYyLjDL3b873sH0x8xtp0JRWf0U38j6loD1Z68bC0Us3Adpf8flasymLDzUAomdbYEkpBefb9IfoIu3HvO9Q9hWvX1pyGNWmm5IJ44F+MjDkQh3WZ5P647lVAqOlHqjOjaKB9bP6eHut63Kucv+JnqkY8IyXOj2CpMVEA5lAI4E9eXbUfptFK6nCfD5L/e1295VW/6priYHzzudo8865PH7SgIQQMI0O47DDsOmw223i85LZVVEglNvzDpebM+yGLdw0Yrk6xPrgGOuD48/U/y9i2SuUSAw7t4Sp7iXmmgtiDQeZKhMGngeY730OCkKYC2o43aPnuMlq2d88VZuqzFh5u/SmiTbIqMf0Oxf6cAFbiRNRj8VqnYUmnC4aXay/qL/Oz/c9/a5Uop+qAKpiDaczPc71K13tU5q/ktqJva5EKzWjU06On9FLL3gxGaSI7qPxcL/E4Jh1mmbvTwVoHTJh8L4+E7Kllqb0XwbTONFLo0YrwQf5h1JdFPXWGFP4cxNphjZRW6qQhLUqBmGkvoYQEFQ6YyutLLNqozzYPkTXI/ID9R7Bga1pDWIDgil1Zh4NyRJAqWh9mfrurIcbpzL3zsM5C60djDERcNpd1mw+evQBxt2vY9gOOH16ite/8jr62x1e/dKr+NF3foRHHzzCwe0DfO0Xv4zN2SVWy0OE4PDD3/0Bfv2v/RqGcYdpir7v3/6H/zH+xn/3v4Jbt+7N4jL8vOVags1x2OHFoxfYnF1mLabpDBbLHraPanmSFmhNgVESwGSOvtqovJC73uaDLYSAKSVX7xZdNvPgIERhLvU3jMhQ0ap+hq4VYlbbnHMCL4m9NC2hOon54kW2ya/J5/eB0dxuBdBrhoIYKcobxcff0iIQkaMyuilLuPkBw5lVyQjROHhOK26SxgUCNL+8f74invV7JYJP34OvHfbJnIJMHHm0NCmIAABtNfzkY6REzkSFkJP6UlQy0lyZLm7baYgRFpVSWB4soZTCuBtw9jwGxKD0GN6TP59L/Q1JIxb9/6ZpinXtRngfMI0T3Oiy2WYIAeNuwG63QQgu+y59Vobxi16C93CYstYDiGaxCICMOpvPP6ZlC0m7SaYuIXANls+AMSBgGDbYDZtsRnRxcQb7oovvY3JYHiwRQkgBoqL5tEm+u+QGwH2tonmQmQXxyBJkVQRtFVNIhSwp2EENpITVgkbNaZHc5/N5ouucDkmGsFX20aSrGLaQgm9wOtqyQIn9IyuLeJ3TNM7ctfaAFDztu0eas3Hgxq+1tA2t0gK/V/Uv38NoW2sM2TS28RzRQNm+9OGS9+z7RKJPfOw5mmSiic655EZATG30UXeJ3oUEPLcXWzz58CnOX1zg/Pk5Xjx7gmHYYhi32G4vQHlzQwhJCpj8yxB9wRR0Gl9s//TsGc4vXqDvVzg4OMZisd77Lr7I5f1338fhrYNkFSPNAVFyHgr+I8fGEPudA8t8rwBn9F2uG62voANUh673r6Qds7YFzyz3y6wtfuCnvyVA5nMAYOYrn8eT6DBFcZ353mM+J7KOiv5w3qMh+5VC9lZ9vFwViTXXWYgh73TuD/FIId8WZs/KvlR0LoQS5Va+i/Tb7Pxg856DB+1pix6e0/I0B674fNdNF8DpnG+uG211NNUfppzCjPqU6RnxZa52v+HC5djNZOnkPZyP9Y3jFtM4wAePaRrh/YRxHLAbNjmqdggBv/P//h2sj9ZQSuG9776Ho7tHePLwCT794BNM04Dnnz7Hi0+f493f/gOcnT+HUgbf+95/iu/8J9/C4eFtnJ09gzEGn3z8Y/zf//f/L2hrMAy72Vr4eYr608Iw3pSbclNuyk25KTflptyUm3JTbspN+f9duZY+mzflptyUm3JTbspNuSk35abclJtyU/7/W27A5k25KTflptyUm3JTbspNuSk35abclD/xcgM2b8pNuSk35abclJtyU27KTbkpN+Wm/ImXG7B5U27KTbkpN+Wm3JSbclNuyk25KTflT7zcgM2bclNuyk25KTflptyUm3JTbspNuSl/4uUGbN6Um3JTbspNuSk35abclJtyU27KTfkTL/9fKdr0kKP5MF0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "showDicomImagesWithBoxes(sample_image_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1296 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "showDicomImagesWithBoxes(train_data[train_data['Target']==0].sample(9).reset_index().drop(['index'], axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Manipulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Add meta information from DICOM data in the train and test datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def addDicomMetaData(df, img_path):\n",
    "    for img_name in os.listdir(img_path):\n",
    "#         print(img_name)\n",
    "        img_data = dcm.read_file(os.path.join(img_path, img_name))\n",
    "#         print(img_data.PatientId)\n",
    "        index = (df['patientId']==img_data.PatientID)\n",
    "        df.loc[index, 'modality'] = img_data.Modality\n",
    "        df.loc[index, 'patientAge'] = img_data.PatientAge\n",
    "        df.loc[index, 'patientSex'] = img_data.PatientSex\n",
    "        df.loc[index, 'bodyPartExamined'] = img_data.BodyPartExamined\n",
    "        df.loc[index, 'viewPosition'] = img_data.ViewPosition\n",
    "        df.loc[index, 'conversionType'] = img_data.ConversionType\n",
    "        df.loc[index, 'rows'] = img_data.Rows\n",
    "        df.loc[index, 'columns'] = img_data.Columns\n",
    "        df.loc[index, 'pixelSpacing'] = str.format('{:4.3f}', img_data.PixelSpacing[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "addDicomMetaData(train_data, 'stage_2_train_images/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patientId</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "      <th>Target</th>\n",
       "      <th>class</th>\n",
       "      <th>modality</th>\n",
       "      <th>patientAge</th>\n",
       "      <th>patientSex</th>\n",
       "      <th>bodyPartExamined</th>\n",
       "      <th>viewPosition</th>\n",
       "      <th>conversionType</th>\n",
       "      <th>rows</th>\n",
       "      <th>columns</th>\n",
       "      <th>pixelSpacing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0004cfab-14fd-4e49-80ba-63a80b6bddd6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>CR</td>\n",
       "      <td>51</td>\n",
       "      <td>F</td>\n",
       "      <td>CHEST</td>\n",
       "      <td>PA</td>\n",
       "      <td>WSD</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00313ee0-9eaa-42f4-b0ab-c148ed3241cd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>CR</td>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>CHEST</td>\n",
       "      <td>PA</td>\n",
       "      <td>WSD</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00322d4d-1c29-4943-afc9-b6754be640eb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>No Lung Opacity / Not Normal</td>\n",
       "      <td>CR</td>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>CHEST</td>\n",
       "      <td>AP</td>\n",
       "      <td>WSD</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>003d8fa0-6bf1-40ed-b54c-ac657f8495c5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>CR</td>\n",
       "      <td>28</td>\n",
       "      <td>M</td>\n",
       "      <td>CHEST</td>\n",
       "      <td>PA</td>\n",
       "      <td>WSD</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00436515-870c-4b36-a041-de91049b9ab4</td>\n",
       "      <td>264.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lung Opacity</td>\n",
       "      <td>CR</td>\n",
       "      <td>32</td>\n",
       "      <td>F</td>\n",
       "      <td>CHEST</td>\n",
       "      <td>AP</td>\n",
       "      <td>WSD</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.139</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              patientId      x      y  width  height  Target  \\\n",
       "0  0004cfab-14fd-4e49-80ba-63a80b6bddd6    NaN    NaN    NaN     NaN       0   \n",
       "1  00313ee0-9eaa-42f4-b0ab-c148ed3241cd    NaN    NaN    NaN     NaN       0   \n",
       "2  00322d4d-1c29-4943-afc9-b6754be640eb    NaN    NaN    NaN     NaN       0   \n",
       "3  003d8fa0-6bf1-40ed-b54c-ac657f8495c5    NaN    NaN    NaN     NaN       0   \n",
       "4  00436515-870c-4b36-a041-de91049b9ab4  264.0  152.0  213.0   379.0       1   \n",
       "\n",
       "                          class modality patientAge patientSex  \\\n",
       "0  No Lung Opacity / Not Normal       CR         51          F   \n",
       "1  No Lung Opacity / Not Normal       CR         48          F   \n",
       "2  No Lung Opacity / Not Normal       CR         19          M   \n",
       "3                        Normal       CR         28          M   \n",
       "4                  Lung Opacity       CR         32          F   \n",
       "\n",
       "  bodyPartExamined viewPosition conversionType    rows  columns pixelSpacing  \n",
       "0            CHEST           PA            WSD  1024.0   1024.0        0.143  \n",
       "1            CHEST           PA            WSD  1024.0   1024.0        0.194  \n",
       "2            CHEST           AP            WSD  1024.0   1024.0        0.168  \n",
       "3            CHEST           PA            WSD  1024.0   1024.0        0.143  \n",
       "4            CHEST           AP            WSD  1024.0   1024.0        0.139  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_data = pd.read_csv('')"
   ]
  }
 ],
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