{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 排序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from plotnine import *"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lollipop\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>manufacturer</th>\n",
       "      <th>model</th>\n",
       "      <th>displ</th>\n",
       "      <th>year</th>\n",
       "      <th>cyl</th>\n",
       "      <th>trans</th>\n",
       "      <th>drv</th>\n",
       "      <th>cty</th>\n",
       "      <th>hwy</th>\n",
       "      <th>fl</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>18</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m5)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m6)</td>\n",
       "      <td>f</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(av)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  manufacturer model  displ  year  cyl       trans drv  cty  hwy fl    class\n",
       "0         audi    a4    1.8  1999    4    auto(l5)   f   18   29  p  compact\n",
       "1         audi    a4    1.8  1999    4  manual(m5)   f   21   29  p  compact\n",
       "2         audi    a4    2.0  2008    4  manual(m6)   f   20   31  p  compact\n",
       "3         audi    a4    2.0  2008    4    auto(av)   f   21   30  p  compact\n",
       "4         audi    a4    2.8  1999    6    auto(l5)   f   16   26  p  compact"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg = pd.read_csv(\"data/mpg.csv\")\n",
    "mpg.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>cty</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manufacturer</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>audi</th>\n",
       "      <td>17.611111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chevrolet</th>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dodge</th>\n",
       "      <td>13.135135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ford</th>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>honda</th>\n",
       "      <td>24.444444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    cty\n",
       "manufacturer           \n",
       "audi          17.611111\n",
       "chevrolet     15.000000\n",
       "dodge         13.135135\n",
       "ford          14.000000\n",
       "honda         24.444444"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg_group = mpg.loc[:, [\"cty\", \"manufacturer\"]].groupby(\"manufacturer\").mean(\"city\")\n",
    "mpg_group.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>manufacturer</th>\n",
       "      <th>cty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>lincoln</td>\n",
       "      <td>11.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>land rover</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dodge</td>\n",
       "      <td>13.135135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mercury</td>\n",
       "      <td>13.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>jeep</td>\n",
       "      <td>13.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  manufacturer        cty\n",
       "0      lincoln  11.333333\n",
       "1   land rover  11.500000\n",
       "2        dodge  13.135135\n",
       "3      mercury  13.250000\n",
       "4         jeep  13.500000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg_group = mpg_group.sort_values(\"cty\")\n",
    "mpg_group = mpg_group.reset_index()\n",
    "mpg_group.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "488a725d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    ggplot(mpg_group, aes(x=\"manufacturer\", y=\"cty\", label=\"cty\"))\n",
    "    + geom_point(size=3, color=\"firebrick\")\n",
    "    + geom_segment(\n",
    "        aes(x=\"manufacturer\", xend=\"manufacturer\", y=0, yend=\"cty\"), color=\"firebrick\"\n",
    "    )\n",
    "    + geom_text(color=\"black\", size=4, nudge_y=1, format_string=\"{:.2f}\")\n",
    "    + labs(title=\"Lollipop Chart\", subtitle=\"Manufacturer Vs Avg. Mileage\")\n",
    "    + scale_x_discrete(limits=mpg_group.manufacturer)\n",
    "    + theme(axis_text_x=element_text(angle=45, vjust=1))\n",
    "    + ylim(0, 30)\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Slope\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>continent</th>\n",
       "      <th>1952</th>\n",
       "      <th>1957</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>1252.572466</td>\n",
       "      <td>1385.236062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Americas</td>\n",
       "      <td>4079.062552</td>\n",
       "      <td>4616.043733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asia</td>\n",
       "      <td>5195.484004</td>\n",
       "      <td>4003.132940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Europe</td>\n",
       "      <td>5661.057435</td>\n",
       "      <td>6963.012816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>10298.085650</td>\n",
       "      <td>11598.522455</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  continent          1952          1957\n",
       "0    Africa   1252.572466   1385.236062\n",
       "1  Americas   4079.062552   4616.043733\n",
       "2      Asia   5195.484004   4003.132940\n",
       "3    Europe   5661.057435   6963.012816\n",
       "4   Oceania  10298.085650  11598.522455"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdp = pd.read_csv(\"data/gdp_per_cap.csv\")\n",
    "gdp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>continent</th>\n",
       "      <th>time</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>1952</td>\n",
       "      <td>1252.572466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Americas</td>\n",
       "      <td>1952</td>\n",
       "      <td>4079.062552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asia</td>\n",
       "      <td>1952</td>\n",
       "      <td>5195.484004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Europe</td>\n",
       "      <td>1952</td>\n",
       "      <td>5661.057435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>1952</td>\n",
       "      <td>10298.085650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>1957</td>\n",
       "      <td>1385.236062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Americas</td>\n",
       "      <td>1957</td>\n",
       "      <td>4616.043733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asia</td>\n",
       "      <td>1957</td>\n",
       "      <td>4003.132940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Europe</td>\n",
       "      <td>1957</td>\n",
       "      <td>6963.012816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>1957</td>\n",
       "      <td>11598.522455</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  continent  time         total\n",
       "0    Africa  1952   1252.572466\n",
       "1  Americas  1952   4079.062552\n",
       "2      Asia  1952   5195.484004\n",
       "3    Europe  1952   5661.057435\n",
       "4   Oceania  1952  10298.085650\n",
       "0    Africa  1957   1385.236062\n",
       "1  Americas  1957   4616.043733\n",
       "2      Asia  1957   4003.132940\n",
       "3    Europe  1957   6963.012816\n",
       "4   Oceania  1957  11598.522455"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdp_new = gdp.melt(\n",
    "    id_vars=[\"continent\"],\n",
    "    value_vars=[\"1952\", \"1957\"],\n",
    "    var_name=\"time\",\n",
    "    value_name=\"total\",\n",
    "    ignore_index=False,\n",
    ")\n",
    "gdp_new[\"continent\"] = gdp_new[\"continent\"].astype(\"category\")\n",
    "gdp_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/py/n14256yd5r5ddms88x9bvsv40000gn/T/ipykernel_22591/2730543565.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n"
     ]
    },
    {
     "data": {
      "image/png": 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tERISYvU6MTExQqVSWVW4cu6zl5DlTjS//vprAUCq0N69e1fodDrRo0cPq3KWrj8FJWQvvfSSAGCViAshhNlsFkajUbrlTACFKDghmzBhggAgDh48KIT4t/I0e/ZsYTQaRWZmpjh69Kho2LChACC+//77fOO0JGSWeK5duyZef/11AUD897//FUI4/vdkiaVixYoOdXXM6xo5KisrSxiNRtGqVSvRvXt3absljqioKJGRkSFtv3//vggODhatW7eWtuVOyIRwvBtgfr+T9vTr108AEB999JHVdkvyvnfvXiFE3t3L/vnnH+Ht7S1ee+21AmPdtm2bACB2794thBBi+fLlwt/fXwwfPly0bNlSKhcXF2eVtLdr106ULVtWJCcnWx1vxIgRwsvLS9y9e1cIIcSsWbOEUqkUhw8ftir37bffCgBi8+bN0rbCfn7ak1dCZjKZRHBwsGjVqpXV9qSkJOHv7y8AWCXib7zxhliwYIHYsWOH+P7778WIESOEWq0WTz75pE03+9zeeOMNAUCsX7++wHjHjh0rvL29xb1796Rtp06dEgDEJ598IoTI/v8JQMydO7fA4+Unv4TM8hmdu4v0kiVLBABRqVIladu1a9fE4MGDxddffy327NkjVqxYIRo3buzQ/8oePXoIlUolrly5UqRzoUcLEzKiYnb48GHxf//3f+LZZ58VoaGh0jejt27dksrkTsiee+454evra1OZuXHjhk0rDwCbb5KFEGLKlClWrQZlypQRXbp0sar4Go1GcfLkSasxOL169RJeXl4F/gMGIHr27GmzPSIiQrz00kvSY6PRKGbMmCGqVq0qNBqNlKACEO3bt5fKWZKC3BUzIfJPyBzlbELm7HvQq1cvq3KWb1knTpxotf2nn34SAMTGjRulbS1atBD+/v42MViuSc4Kw/bt20WrVq1EQECA1bUEYJWUx8TE5PltdV4JWe5rc+bMGQFArF69WgghxObNmwUAsWbNGptjli9fvtAJ2bp166zOI/eYooISstdee81uQpb7Fh4eLhYtWpRvjEL8myDnvGk0GtGnTx+pEuno35MllpxfPhTmGuXn008/FXXr1hU6nc4q5ipVqkhlLHGMGDHC5vmWVipLIuxsQubo76Q9loTs9u3bVtst8b7zzjtCiOwKv0KhEDdu3LC55o0bNxaPP/54gbFmZGQILy8vqcWoX79+okuXLmLDhg1Cp9OJtLQ0cfnyZQFAfP7559Jz1Gq1eOWVV2xe1/L3YEm0mjVrJmrVqmVTLiUlRSgUCquk0dHPT0fkN4bsrbfeEgDE22+/LW7cuCHOnTsnOnXqJFQqlQAgDhw4kO+xLV8wrF27Ns8yn332mQAgxo0b51C8J06cEACs/hZfffVVodPpxJ07d4QQ2V/SVKxYUZQpU0Z88MEH4tixYwX+T7Inv4RMr9eLxx57TERFRYktW7aIpKQk8cMPP4jw8HChUqms/n7sMRgMom7duiIkJMTuWHEhhLhz547Q6XSiU6dOTsdOjzaOISMqZg0aNMCECRPwzTff4Nq1axgzZgwuXryId999N8/n3LlzBxEREVb9/oHsvvtqtRp37tyx2h4REWFzDMs2S9kbN25g48aN0Gg0Vrfq1asDyJ7ZDcgekxIVFeVQP/yQkBCbbTqdzmrK4LFjx+Ktt95Ct27dsHHjRhw8eBCHDx9G7dq1baYWBmA1s1txsoy5uXDhgkPlnX0PgoODrR5rtdp8t2dmZlptDw8Pt4kh93t46NAhtG3bFgDw2Wef4ZdffsHhw4fxxhtvAIDN9XT2WuZ+P3U6ndVxLXHYi9Xettws70HuMVzx8fE4fPgwDh8+LI3fcIbleFFRUVbbR40ahcOHD+Po0aP466+/cP36dQwZMsShY1asWBGHDx/GkSNHcOLECdy7dw/Lly9HYGAgAMf/niwcfS+c/T2dM2cOhg0bhkaNGmHNmjU4cOAADh8+jPbt29v9+8rrs8JgMCA1NdWh18zJ2d9Je9Rqtc3vnr3PLyEEwsPDba75gQMHbK63PV5eXmjWrBm2bdsGANi+fTvatGmD+Ph4mEwm7NmzB1u3bgUAtG7dWnr9rKwsfPLJJzavaxl7ZHntGzdu4Pjx4zbl/P39IYSwidGRz8+imjx5MsaMGYPp06cjPDxcmhFwwIABAIAyZcrk+3zLeE57y0sAwNKlSzF06FAMGTLEoXGcAFC9enU0bNgQS5cuBQCYTCYsX74cTz/9tPR5aRln1q5dO7z77ruoV68eSpcujZEjR9osi1FYWq0WP/zwA6Kjo9G2bVtpTOKkSZMQFBRU4LXRaDTo0aMH7ty5g3Pnztkts3z5cuj1erz44ovFEjM9OjjtPZELaTQaTJkyBR9++CFOnDiRZ7mQkBAcPHgQQgirhODmzZvIyspCaGioVfnExESbY1i2Wf7ph4aGolatWpgxY4bd17RUZkuXLo29e/fCbDY7PDg6P8uXL8cLL7yAmTNnWm2/ffu2zXTKAGwSoOLSoEEDBAcH47vvvsOsWbMKfB1n34OiunHjhs223O/h6tWrodFosGnTJqv1bNavX2/3mMV9LS1x5BVrQUsStGnTBpMmTcKGDRukSjyQPa12gwYNrF7DURkZGdi2bRsqVqyIsmXLWu0rW7asdFxnWSa8yIujf08Wjr4X7dq1w6RJk7B+/Xqb9Z/sWb58OeLj4/Hpp59abc+r0prXZ4VWqy3UemDO/k7ak5WVhTt37li99/Y+vxQKBfbs2SN9UZCTvW32tGrVCpMnT8ahQ4dw5coVtGnTBv7+/mjYsCG2bt2Ka9euoVKlSihXrhwAICgoCCqVCn379sXLL79s95ixsbFSjN7e3vj888/tlivuzwxHqNVqzJkzB2+//TYuXLiA0NBQREZGol27doiNjbX5m8mLvf8FS5cuxYsvvoh+/fph4cKFTn3eDBgwAMOHD8fp06fx999/4/r161KSaBETE4MlS5YAAP788098/fXXmDp1KgwGAxYuXOjwa+Xnsccew/79+3H16lXcvXsXFStWRHJyMkaNGpXnxEM5iQcT1+T1v3LJkiUIDw8v1BdN9GhjCxlRMbl+/brd7adPnwZgW2HLqVWrVkhNTbWp1Hz55ZfS/py2b99uVUk2mUz46quvrCqpnTt3xokTJ1CxYkU0aNDA5maJp0OHDsjMzHR6FsO8KBQKm8rS999/j6tXrzp8jNwtNYWh0WgwYcIEnDlzBu+8847dMjdv3pRm3nL2PSiqlJQUm3VvVq5cCaVSKVUMFAoF1Go1VCqVVCYjI8NmzS5XadSoEXQ6Hb766iur7QcOHHBo5sIGDRqgbdu2+Oyzz2xmASwMk8mEESNG4M6dO5gwYUKRj+cMR/+enFWvXj106NABS5YsyXOh3SNHjuDy5csA7P99HT9+PM8FsNeuXWvVOpuSkoKNGzfiiSeesPq9yi2vlpvi+p3MvfbVypUrAUCaubNz584QQuDq1at2r3fNmjULjBXIbvnKysrCW2+9hbJly6JKlSrS9m3btmHHjh1S6xgA+Pj4oGXLlvj1119Rq1Ytu69tSRo7d+6Mv/76CyEhIXbLFWUNxaLy8/NDzZo1ERkZiWPHjmH79u0Orbf4xRdfAPh3hlKLhIQEvPjii3j++efxv//9z+kvf3r16gUvLy8kJCQgISEBZcqUsfqSJrdKlSrhzTffRM2aNXHs2DGnXssRZcqUQc2aNeHj44P33nsPvr6+GDRoUL7PMRqN+OqrrxAaGorHHnvMZv+RI0dw/Phx9OvXz+5sy0T54W8MUTFp164dypYtiy5duqBKlSowm8347bff8MEHH8DPzy/ff4YvvPAC5s+fj379+uHixYuoWbMm9u7di5kzZ6Jjx45WFQYg+5vXp556Cm+99RZ8fX2xYMECnDlzxmrq+7fffhtbt25F06ZNMXLkSFSuXBmZmZm4ePEiNm/ejIULF6Js2bLo1asXli5dipdeeglnz55Fy5YtYTabcfDgQVStWhU9e/Z06jp07twZCQkJqFKlCmrVqoWjR4/ivffec/ibWQCoUaMGAGDx4sXw9/eHl5cXYmNjERISgl27dknfek+ePDnf47z66qs4ffo0pkyZgkOHDqF3797SwtC7d+/G4sWLMW3aNDRr1szp96CoQkJCMGzYMFy+fBmVKlXC5s2b8dlnn2HYsGFSN7ZOnTphzpw56N27N4YMGYI7d+7g/fffd7h1oKiCg4MxduxYzJo1C0FBQejevTuuXLmCadOmITIy0qEW1eXLl6Ndu3Zo3bo1+vfvj3bt2iEsLAz379/H8ePHsW3bNruLVt+4cUNaRiAlJUVaGPr333/HmDFjMHjwYFeccp4c/XsqjC+//BLt27dHhw4dMHDgQHTo0AFBQUG4fv06Nm7ciFWrVuHo0aOIjo5G586d8c4772DKlClo0aIFzp49i7fffhuxsbE2y1kA2dOTt2nTBmPHjoXZbMbs2bNx//59aUmEvNSsWRNr167Fp59+ivr160OpVKJBgwbF8jup1WrxwQcfIDU1FQ0bNsS+ffswffp0dOjQQVqGolmzZhgyZAgGDBiAI0eO4Mknn4Svry+uX7+OvXv3ombNmhg2bFi+sQJA/fr1ERQUhC1btli1yLRu3Vr6oib33/ZHH32E5s2b44knnsCwYcNQvnx5pKSk4Pz589i4caOUOI8ePRpr1qzBk08+iTFjxqBWrVowm824fPkytmzZgnHjxqFRo0YOX5f8HDlyRFqW4P79+xBC4NtvvwWQPb1/TEwMgOwlLQ4fPoxatWpBCIFDhw5h9uzZaN++PUaMGCEdb8+ePZgxYwa6d++OChUqIDMzEz/88AMWL16Mp556Cl26dJHKfvPNNxg0aBDq1KmDoUOH4tChQ1ax1a1bt8D3v1SpUujevTsSEhJw7949jB8/3urz4/jx4xgxYgT++9//Ii4uDlqtFjt27MDx48fx+uuvF3h9LNfCsiTCkSNHpBbgZ599Vir37rvvIiIiAtHR0bhx4wa+/vprrF+/HsuWLbPqsjh27FgYjUY0a9YMERER+Oeff/DJJ5/gt99+w9KlS+1+mWFp3SsosSOyy22j14g8zFdffSV69+4t4uLihJ+fn9BoNCI6Olr07dtXnDp1yqqsvYWh79y5I1566SURGRkp1Gq1iImJERMnTrRZUBYPJjxYsGCBqFixotBoNKJKlSpixYoVNjHdunVLjBw5UsTGxgqNRiOCg4NF/fr1xRtvvGE1Q2BGRoaYPHmyiIuLE1qtVoSEhIinnnrKakYuy+vmlnvCiKSkJDFo0CARFhYmfHx8RPPmzcWePXtsztkysUTOqfpzmjt3roiNjZUGo1sGaTs67X1O3333nejUqZMoXbq0UKvVIigoSLRs2VIsXLhQ6PV6qZyz70FOeU29bu88LbP67dy5UzRo0EDodDoRGRkpJk2aZDNY/PPPPxeVK1cWOp1OVKhQQcyaNUuaFSznJAwxMTF5DiTPa1KP3Nfecg45B8SbzWYxffp0UbZsWaHVakWtWrXEpk2bRO3ata1m9ctPZmam+OSTT0Tz5s1FqVKlhFqtFsHBweKJJ54Qs2fPlgb2WyDHJBFKpVIEBASImjVriiFDhlhNv5477sIu4uroArmO/D0VNpaMjAzx8ccfiyZNmoiAgAChVqtFVFSUeOaZZ6xmidTr9WL8+PGiTJkywsvLS9SrV0+sX79e9OvXz2pii5wzT06bNk16/+rWrWuzDIG9ST3u3r0rnn32WVGqVCmhUChEzuqCo7+T9lgWhj5+/LiIj48X3t7eIjg4WAwbNszqMynnazVq1Ej4+voKb29vUbFiRfHCCy+II0eOOBSrEEJ0795dALD6jDQYDMLX11colUqRlJRk87oXLlwQAwcOFGXKlBEajUaULl1aNG3a1GYq89TUVPHmm2+KypUrC61WK02XP2bMGKsJThz9/MzvuuX8u8h5y/n3+ssvv4hGjRqJgIAAodPpRI0aNcT7779vM+PnuXPnRMeOHUWZMmWETqcTXl5eombNmmLGjBk2n3f5vbYj77mFZTp4AOLPP/+02nfjxg3Rv39/UaVKFeHr6yv8/PxErVq1xIcffmgzC6s9+cWX07Rp00TFihWFTqcTpUqVEu3bt5dm4cxpyZIl4vHHHxfBwcHS/4x27drluYRHenq6CAwMtDtrMJEjFEI4sZIjEbmdQqHAyy+/jHnz5rk7FCqk+Ph43L59O99xhSXZhQsXUKVKFUyZMgWTJk1ydzhkx8WLFxEbG4v33nsP48ePd3c4RESUD3ZZJCKiPP3+++9YtWoVmjZtioCAAJw9exbvvvsuAgIC2DWHiIioGDAhIyKiPPn6+uLIkSNYsmQJ7t27h8DAQMTHx2PGjBkOTX1PRERE+WOXRSIiIiIiIjfhtPdERERERERuwoSMiIiIiIjITZiQERERERERuQkTMiIiIiIiIjdhQkZEREREROQmTMiIiIiIiIjchAkZERERERGRmzAhIyIiIiIichMmZERERERERG7ChIyIiIiIiMhN1O4OgIiKxmQywWg0ujsMIiKiEk2lUkGtVkOhULg7FCIrTMiIZCw1NRVXrlyBEMLdoRAREZV4Pj4+iIyMhFardXcoRBKFYE2OSJZMJhPOnTsHHx8flC5dmt/4ERER5UEIAYPBgFu3bsFkMiEuLg5KJUfuUMnAFjIimTIajRBCoHTp0vD29nZ3OERERCWat7c3NBoNLl26BIPBAC8vL3eHRASAk3oQyR5bxoiIiBzDVjEqifhbSUQP1YQJExAcHIzHH3/c7v6ZM2di9OjRDzcocoifnx9u3rzp7jAeKbzmRPZ16NABa9ascXcYRMWCY8iIZCozMxMXLlxAbGxsie12UbFiRYSGhuLgwYMAgMuXL6NmzZq4dOkSSpUq5d7gPEDu60vywPfNeeXLl8fNmzetWjc++ugjDBo0yI1RPXrmz5+Pjz/+GJcvX0Z4eDj69++Pt956CyqVyt2hOUwO/zvp0cMxZETkEvv27cOtW7dw+fJlnD9/Ho899hguX76MyMjIPJOxrKwsqNX8WHKEvevrKkajERqNxmXHf5Q8zPfN0+zYsQONGzcu9PP5+VI006dPx8KFC7Fy5Uo0bdoUJ0+eRJ8+fXD16lV89tln7g6PSNbYZZGIXGLFihV45pln8NRTT2HFihXYs2cP2rRpgz///BN+fn6YMGECEhIS0KZNGwwaNAiBgYFYvnw5pk6dipdeekk6zldffYUaNWrA398fNWvWxNmzZwEA77zzDmJiYhAQEIAmTZrg+PHj7jpVt8h9fQHg4sWL8PLywqeffoqwsDCUK1cOO3fuxJIlSxAZGYno6Gjs2rVLOsbly5fRqVMnhISEoGrVqvjxxx+lfeXLl8e7776LypUro1q1agCyxysmJiYCAG7duoXevXsjLCwMoaGheP311wEA586dw5NPPolSpUohKioKkyZNko75559/onnz5ggICEBoaCjGjRvn8utU0th73zIyMtCrVy8EBQWhVKlSaNasmVQ+5zX/7LPPEBcXB39/f9SqVQs7d+50xymUKPHx8Vi9erX0OOfnh73Pl8uXL6N9+/YICgpC9erVsXHjRqtjvfXWW6hVqxaCg4MxfPhwZGVlSfvnz5+PuLg4hIaGol+/fkhLS3t4J+pm9+7dw8yZM7FgwQI8+eSTUKvVqF27NpYvX44lS5bg7NmzeX4mAHlfuzt37qB9+/YIDQ1F6dKlMWTIEOj1egDAzp07UaVKFUybNg3BwcGIjY3F1q1bpWPmfO/379+Phg0bIiAgADExMfjkk08e4tUhKjomZEQeQAiBdEOWy2+O9nA2Go34+uuv0aNHD/To0QMrVqzAE088gR9++AGVKlVCamoqZs+eDQD4+eefER8fj6SkJPTs2dPqOL/88gtGjBiBRYsWITk5Gd988w0CAgIAANWqVcORI0dw9+5dtGnTBi+88ELxXtTchAAMaa6/OXCN7V1fC4PBgIsXL+Lq1asYNWoUnn/+eZw6dQqXLl3Ca6+9Jo3PM5vN6NKlCzp27IgbN27g888/x/PPPy9V/gFg/fr12LNnD/744w+bGPr06QNfX1/8/fff+Oeff/D0009L+6ZPn47bt29j165dWL58OdavXw8AmDx5Mjp16oTk5GRcunQJPXr0KOSb4RghBNKN6S6/FeXvAgC++OILpKWl4dq1a7h9+zb+7//+z+7zo6KisH37diQnJ+OVV15Bz549pcqrKwghYE5Pd/nNlSMncn++9OzZE3Xq1EFiYiLmzZuHPn364MKFC1L5lStXYv369Th79iz27duHhQsXAgC++eYbLF68GNu2bcM///wDo9GIyZMnuyxuIPv6G/Uml98cuf779++H0WhEp06drLbXqVMHMTEx2LlzZ56fCfldO7PZjBEjRuDq1as4fvw4jhw5gk8//VQ6/vnz5+Hv74+bN29i4sSJVl/W5aTRaLBo0SLcu3cPa9aswZtvvolff/21sJee6KFj2z2RB8gwmlBt8k8uf51Tb7eDj7bgj42ffvoJZrMZrVu3RmpqKl566SUcPnzYbtnKlSujb9++AGDTnz8hIQHDhg2TWgyqVKki7fvPf/4j3Z80aRKmT5+O1NRU+Pn5OX1eDjGmAzOjXHPsnCZdA7S++RbJ6/qWLl0aQgi88cYb0Gg0+M9//oNXX30Vr7/+OrRaLf7zn/9g7NixMJvNOHToEIxGI15++WUAQJMmTRAfH48ffvgBAwYMAACMGTMGYWFhNq9/9epV7NmzB+vXr4ePj4/0fACIi4tDXFycdL9Pnz7Yu3cvunXrBo1GgwsXLiAxMRGRkZF5TuxSXDKyMtBoZSOXvgYAHOx9ED4anwLL5fW+aTQa3Lp1C3///TeqV6+OJ554wu7zc1aGBw8ejMmTJ+PcuXOoUaNGsZ1LTiIjA2fr1XfJsXOqfOwoFD4FX782bdpYjVXK2aKb57FzfL7cvHkTv//+O37++WfodDq0bNkSnTp1wrfffotXX30VADBo0CBUqFABADB+/HgsWbIEI0aMwJIlS/DGG28gJiYGQPZnTqdOnfDBBx84fb6OyjKYsXjUroILFtGQj1pAo8t/DNidO3cQGhpqd6xYeHg4bt++nednQn7XrnTp0ujcuTMAIDIyEkOHDsXWrVulL44CAwMxZswYKBQKPP/88xg6dKjdz/kGDRpY3e/YsSN++eUX1K1bt3AXheghc2sL2e7du9GlSxdERUVBoVBI36IC2d8kTpgwATVr1oSvry+ioqLwwgsv4Nq1a1bH0Ov1eOWVVxAaGgpfX1907doVV65csSqTlJSEvn37IjAwEIGBgejbty/u3btnVeby5cvo0qULfH19ERoaipEjR8JgMLjq1Ik82vLly/HMM89Ao9EgKCgIbdu2tWrFyals2bJ5HufKlStS5Si3zz77DNWrV0dgYCAiIiIghMCdO3eKJf6SLr/rq9PppFZEy/p0pUuXlh4bjUYYDAZcvnwZ586dQ6lSpaTbjz/+aNVCltd7c+XKFYSHh0sVr5yuXr2K7t27IyIiAoGBgZg7d670vrz77rvIyspCnTp1ULt2bavuYo+CvN63vn37ok2bNujevTvKli2LmTNn2n3++vXrUa9ePen9unnz5iPzOw8AW7duxb1796SbI+PJcv4OX7t2DWFhYdDpdNK2mJgYq3pFzvLlypXD9evXAWTXEQYNGiRd++bNm+P27dvFcVqyEBISgtu3b8NkMtnsu3HjBtRqdZ6fCfldu5SUFLzwwgsoW7YsAgICMHbsWKvf6dKlS0tLu1iOnZqaavMaJ0+eRJs2bVC6dGkEBgZi7dq1j9TfBsmfW1vI0tLSULt2bQwYMMDq224ASE9Px7Fjx/DWW2+hdu3aSEpKwujRo9G1a1ccOXJEKjd69Ghs3LgRq1evRkhICMaNG4fOnTvj6NGj0jc5vXv3xpUrV6Rv04YMGYK+fftKlQGTyYROnTqhdOnS2Lt3L+7cuYN+/fpBCMF+yCQL3hoVTr3d7qG8TkFSUlKwYcMGqNVq6W8sNTUVR44cQZcuXWzK57eOWrly5ay6E1lcvHgRY8eOxa5du1C3bl1kZmbCz8/PpV2foPHJbr1ytQJaWvK7vq+88orDL1OmTBnUrFkTx44dy7NMXu9NuXLlcOPGDWRkZNgsSv7mm2+idOnS+PPPPxEQEICJEydKldrIyEh8/vnnEEJgw4YN6NGjB+7duwetVutw3M7wVnvjYG/Xz2TorS54Yfb83rcPPvgAb7/9Nt5++22cOXMG8fHxeOKJJ6xayvR6PXr16oXvvvsOrVq1gkqlQmRkpEt/5xXe3qh87KjLjp/zdQrL19cX6enp0uOcXygA1r/DUVFRuHnzJvR6vZSUXb582aoVJecXuv/88w8iIiIAZP+9/N///R+6du1a6FidpdYqMeSjFg/ldQrSpEkTaDQafP/991bX4LfffsOlS5fQuHFjTJ061e5nQn7Xbs6cObh79y5+++03hIaGYtGiRVi1apXT5zBixAjEx8djw4YN8Pb2Rq9evVz7/4ComLk1IevQoQM6dOhgd19gYKDV4E0A+OSTT/D444/j8uXLiI6ORnJyMpYsWYJly5ahdevWALK/gSxXrhy2bduGdu3a4fTp0/jxxx9x4MABNGqU3XXls88+Q5MmTXD27FlUrlwZW7ZswalTp/DPP/8gKiq7S9IHH3yA/v37Y8aMGdK3zUQllUKhcKgr4cOwdu1aaUpvS2XIYDCgVq1adr9dzU///v3RrVs3tG/fHo0bN5Yq+ampqVAoFAgJCYHRaMSUKVNc/89XoSiwK+HDkN/13b59u8PHadSoEYxGIxYvXoz+/fsDAA4ePIiYmBhER0fn+9yoqCg88cQTGD16ND744AOoVCr8/vvvaNy4MVJSUlCuXDn4+fnhxIkTWL58OVq1agUA+Pbbb9G0aVNERUWhVKlSUCgULl3YXKFQONSV8GHI733btm0bypYti6pVqyIgIABqtdqma5her4fBYJBaOz/66CPcunXLpTErFAqHuhK6U506dfDNN9+gT58+OH36NNasWWPzBa9FdHQ0atasiWnTpmHq1Kk4cOAANm3ahHfeeUcq8/nnn6N3797w9fXFnDlzpO67gwYNwowZM1CjRg1UqFAB169fx++//4727du77NwUCkWBXQkfllKlSmHSpEkYPnw4SpUqhaZNm+LUqVN4/vnnMXDgQLRo0SLPz4T8rl1KSgq8vb0RGBiIS5cuYcGCBQgKCnI6vpSUFAQGBsLLywt79uzB999/j8qVK7vgShC5hqwm9UhOToZCoZCmzD569CiMRiPatm0rlYmKikKNGjWwb98+ANkDUQMDA6VkDAAaN26MwMBAqzI1atSQkjEAaNeuHfR6PY4edf23g0SeZMWKFRg0aBAiIyMRERGBiIgIREdHo2/fvnjxxRedOlbTpk0xd+5cDBw4EAEBAfjvf/+L+/fvo0aNGhgyZAhq1aqF8uXLIzY21mWtLCVNftd37969Dh9HrVZj06ZN2Lx5M8qUKYOoqCjMmDEDZrPZ4Tju3buH8uXLIzo6Ghs2bACQPXHH9u3bERAQgJEjR1pVjg8dOoT69evDz88Pw4YNw8qVKx+Z6fTze9+6dOmCbt26ISAgAA0bNsTQoUPRtGlTq+cHBATgvffeQ5s2bRAREYE7d+48clPmP/XUU/Dz85Nu77zzDsaMGQODwYDQ0FC89tprNhMD5bZ69WocPXoUYWFhGDp0KL788ktUrFhR2t+rVy907doVlSpVwuOPPy5NItGzZ0/0798fHTt2hL+/P1q0aIFTp0659HxLmjfffBOvv/46XnzxRfj5+aFLly549tlnpYlP8vpMyO/ajRo1ClevXkVQUBD+85//oHv37oWKbfbs2fjkk08QEBCAuXPnPtSWTKLiUGIWhlYoFFi3bh26detmd39mZiaaN2+OKlWqYPny5QCyZ0MaMGCAzSxTbdu2RWxsLBYtWoSZM2ciISEBf/75p1WZSpUqYcCAAZg4cSKGDBmCixcvYsuWLVZldDodEhIS0KtXL7sx6fV6m9fW6XRW/dOJXIWLWxIRFZ/4+Hi89NJLBSZ1JG/830klkSxayIxGI3r27Amz2YwFCxYUWF4IYdUNxl6XmMKUyW3WrFnSRCGW26xZswqMj4iIiIiICJBBQmY0GvHcc8/hwoUL2Lp1q9V4roiICBgMBiQlJVk95+bNmwgPD5fK3Lhxw+a4t27dsiqTeyBwUlISjEajVMaeiRMnIjk52eo2ceLEQp8rERERERE9Wkp0QmZJxs6dO4dt27YhJCTEan/9+vWh0WisJv+4fv06Tpw4IfW/b9KkCZKTk3Ho0CGpzMGDB5GcnGxV5sSJE9JMYACwZcsW6HQ61K+f9xoslumlc97YXZGIiEh+du7cye6KROQWbp2WLTU1FefPn5ceX7hwAb/99huCg4MRFRWFZ599FseOHcOmTZtgMpmkVqzg4GBotVoEBgZi0KBBGDduHEJCQhAcHIzx48ejZs2a0qyLVatWRfv27TF48GAsWrQIQPa09507d5Zm4Gnbti2qVauGvn374r333sPdu3cxfvx4DB48mDMsEhERERGRy7h1Uo+dO3eiZcuWNtv79euHqVOnIjY21u7zfv75Z8THxwPIHpz56quvYuXKlcjIyECrVq2wYMEClCtXTip/9+5djBw5Uprxp2vXrpg3b540WyOQvRbJ8OHDsWPHDnh7e6N37954//332eJFJRYHJhMRETmH/zupJCoxsywSkXMs/1TKly9vsxAnERER2UpPT8elS5eYkFGJUjJWkiUip2k0GigUCty6dQulS5d26QK7REREciaEgMFgwK1bt6BUKh+ZtStJHthCRiRjqampuHLlCvhnTEREVDAfHx9ERkYyIaMShQkZkcyZTCYYjUZ3h0FERFSiqVQqqNVq9iihEocJGRERERERkZuU6HXIiIiIiIiIPBkTMiIiIiIiIjfhLItERERERFTimExmGDKyoE/Pkn5a3c8wwpCeBX1G9s1yv07raFRtGunu8B3GhMwDpaenIy4uDgBw7tw5+Pj4uDkiIiIiInrUmEzm7CQp3TphKiihspTP0pscfi2DMRPTVr8AANhUYzcAJmTkRkIIXLt2TbpPREREROQsU5Y5R/KUM2Ey2iRQ1uWy92cZzMUSh8ZLBZ23GjofNbTeauh8NNB5q6H1UUvbs2BA8ud3AACPNQwvltd9WJiQeSAvLy/8+uuv0n0iIiIievTIKaHSPvipe7Df8ljrpYJSVfC0FyaTSar/lo4qVSxxPyyc9p6IiIiIqAQqKQmV1kv1IHnS2CRPOZMqnbcGWm9VoRKqRxlbyIiIiIiIXECWCVWuViuttxpKJRfTdiUmZB7IaDRixYoVAIA+ffpAo9G4OSIiIiIi+TFlmW1m9bNNnnImVUar7VlGJlQPi5zrv+yy6IHS0tLg5+cHAEhNTYWvr6+bIyIiIiJ6+JhQPTrkXP9lC5kHUqlU6Nixo3SfiIiISI5KTELlbZ08MaEqeeRc/2ULGRERERG5hMlotll3qiQkVLbJlCbPJEvjxYSKXIstZERERERklyWhym8SCkMGEyqiomBCRkREROShHEmocs7ql3u7iQkVkcsxIfNA6enpqF27NgDg999/h4+Pj5sjIiIiosIoEQmVAtB6MaGikk3O9V8mZB5ICIHz589L94mIiMg9SkpCZTMRRT6TUOh8ct7XQKtTQcGEiko4Odd/mZB5IC8vL+zdu1e6T0RERIWTZTTBkGFiQkVUwsm5/stZFomIiMhjZRlN+czqZ8xztj/LY1MWEyoici22kBEREVGJxYSKiDwdEzIPlJWVhXXr1gEAunfvDrWabzMREblHSUqorBKmHImUZQZAJlRE8iXn+i+7LHqgtLQ0+Pn5AQBSU1Ph6+vr5oiIiEiu5JBQWW+3PNZIjzVMqIg8npzrv/JJHclhSqUSLVq0kO4TEdGjSQiRY5a/nEmV0W7ylHOBXyZURCQncq7/soWMiIiohHI2obIulz3rnzmr6P/mFQpICRMTKiKi4sUWMiIiIhdhQkVERAVhQkZERJSHEpVQScmSxnq2vxxJVPZjjU2SpdGpoFAwoSIiKomYkHmgjIwMNGnSBACwf/9+eHt7uzkiIiL3EEIgy2jOTpYsiVMGEyoiIk8j5/ovx5B5IDnPMkNElJO9hCq/mf0MGUbrxCs9C2YTEyoiIk8n5/ovW8g8kJeXF7Zs2SLdJyJyFyZURET0MMi5/ssWMiIiylOJSaiUijySp1yTUHirmFAREZGssIWMiMiDyS6hsrudCRUREXkuJmQeKCsrCz/99BMAoF27dlCr+TYTyZUQAlkGs92Z/ayTKqP1diZURET0CJFz/ZddFj2QnAc1EnmaQidUOVqvzGYmVERERPmRc/1XPqkjOUypVKJBgwbSfSIqvBKVUOVexJcJFREREQB513/ZQkZEHq2kJFRKpcImScpvVr9/k6rsJEutVTKhIiIi8kBsISOiEk0IAaPeZJ0kMaEiIiIiD8GEjIhcym5Cldesfjm253wsmFARERGRh2JC5oEyMjLQunVrAMC2bdvg7e3t5ohIzphQERERUUkn5/ovx5B5IDnPMkPFryQlVDrffyejKGgSCiZURERE5Cg513/ZQuaBdDod1q1bJ90neZNtQpWz1cpHDbWGCRURERG5hpzrv2whI3IxS0KV3yQUtkkWEyoiIiKiRwFbyIgKUOiE6sF+Q4apeBIqlcKqOx8TKiIiIiL5Y0LmgUwmE/bs2QMAeOKJJ6BSqdwckXsVOaFKz0JxtCNbEiqdj8bOxBO5Ey0mVERERESOknP9l10WPZCcBzXaI5eEyt7MfjnLqZhQEREREbmEnOu/bCHzQAqFAtWqVZPuu5sQAsZMk/1JKJhQEREREVERlbT6rzPYQkYFyi+hsm21yoL+wX5Djv1MqIiIiIiIbLGF7BEgzA+6/Lk7oVIrHiROTKiIiIiIiAAmZB4pKTENW5acdE1ClWOiifxm9rPdroZaI5/BlUREREREDwO7LHqg6xfvoGXztgCAoe2nQ6vOXhyPCRUREREReaKMjAx07doVALBhwwZ4e3u7OSLHMSHzQMlJ91EqOBAA8M9fNxAUEsiEioiIiIg8FmdZpBLF198Hy5cvBwBERAdDrebbTERERESeS6fTSfVfnU7n5micwxYyIiIiIiIiN1G6OwAiIiIiIqJHFfuyeSCTyYRjx44BAOrVqweVimPHiIiIiMhzybn+69YWst27d6NLly6IioqCQqHA+vXrrfYLITB16lRERUXB29sb8fHxOHnypFUZvV6PV155BaGhofD19UXXrl1x5coVqzJJSUno27cvAgMDERgYiL59++LevXtWZS5fvowuXbrA19cXoaGhGDlyJAwGgytO2+UyMzPx+OOP4/HHH0dmZqa7wyEiIiIicik513/dmpClpaWhdu3amDdvnt397777LubMmYN58+bh8OHDiIiIQJs2bZCSkiKVGT16NNatW4fVq1dj7969SE1NRefOnWEymaQyvXv3xm+//YYff/wRP/74I3777Tf07dtX2m8ymdCpUyekpaVh7969WL16NdasWYNx48a57uRdSKFQICYmBjExMVxImYiIiIg8npzrvyVmUg+FQoF169ahW7duALJbx6KiojB69GhMmDABQHZrWHh4OGbPno2hQ4ciOTkZpUuXxrJly9CjRw8AwLVr11CuXDls3rwZ7dq1w+nTp1GtWjUcOHAAjRo1AgAcOHAATZo0wZkzZ1C5cmX88MMP6Ny5M/755x9ERUUBAFavXo3+/fvj5s2bCAgIePgXhIiIiIiIPF6JndTjwoULSExMRNu2baVtOp0OLVq0wL59+wAAR48ehdFotCoTFRWFGjVqSGX279+PwMBAKRkDgMaNGyMwMNCqTI0aNaRkDADatWsHvV6Po0eP5hmjXq/H/fv3rW56vb54LgAREREREXm8EpuQJSYmAgDCw8OttoeHh0v7EhMTodVqERQUlG+ZsLAwm+OHhYVZlcn9OkFBQdBqtVIZe2bNmiWNS7PcZs2a5eSZEhERERHRo6rEz7KYuw+oEKLAfqG5y9grX5gyuU2cOBFjx4612lYSFqLLzMxEz549AWR3vfTy8nJzREREREREriPn+m+JTcgiIiIAZLdeRUZGSttv3rwptWZFRETAYDAgKSnJqpXs5s2baNq0qVTmxo0bNse/deuW1XEOHjxotT8pKQlGo9Gm5SwnnU5XIhKw3EwmE7777jvpPhERERGRJ5Nz/bfEdlmMjY1FREQEtm7dKm0zGAzYtWuXlGzVr18fGo3Gqsz169dx4sQJqUyTJk2QnJyMQ4cOSWUOHjyI5ORkqzInTpzA9evXpTJbtmyBTqdD/fr1XXqerqDVarF48WIsXrwYWq3W3eEQEREREbmUnOu/bp1lMTU1FefPnwcA1K1bF3PmzEHLli0RHByM6OhozJ49G7NmzcLSpUsRFxeHmTNnYufOnTh79iz8/f0BAMOGDcOmTZuQkJCA4OBgjB8/Hnfu3MHRo0elBeE6dOiAa9euYdGiRQCAIUOGICYmBhs3bgSQnUXXqVMH4eHheO+993D37l30798f3bp1wyeffOKGK0NERERERI8CtyZkO3fuRMuWLW229+vXDwkJCRBCYNq0aVi0aBGSkpLQqFEjzJ8/HzVq1JDKZmZm4tVXX8XKlSuRkZGBVq1aYcGCBShXrpxU5u7duxg5ciQ2bNgAAOjatSvmzZuHUqVKSWUuX76M4cOHY8eOHfD29kbv3r3x/vvvl8guiURERERE5BlKzDpkVHzMZjNOnz4NAKhatSqUyhLbM5WIiIiIqMjkXP9lQuaB0tLS4OfnByC7W6ivr6+bIyIiIiIich05139L7CyLVDShoaHuDoGIiIiI6KGRa/2XLWRERERERERuIp/OlURERERERB6GCRkREREREZGbMCHzQJmZmejTpw/69OmDzMxMd4dDRERERORScq7/cgyZB5LzLDNERERERM6Sc/2Xsyx6IK1Wiw8//FC6T0RERETkyeRc/2ULGRERERERkZtwDBkREREREZGbsMuiBzKbzbh8+TIAIDo6Gkol824iIiIi8lxyrv+yy6IHkvOgRiIiIiIiZ8m5/ssWMg/l4+Pj7hCIiIiIiB4audZ/2UJGRERERETkJvLpXElERERERORhmJARERERERG5CRMyD6TX6zF48GAMHjwYer3e3eEQEREREbmUnOu/HEPmgeQ8ywwRERERkbPkXP/lLIseSKPRYPr06dJ9IiIiIiJPJuf6L1vIiIiIiIiI3IRjyIiIiIiIiNyEXRY9kBACt2/fBgCEhoZCoVC4OSIiIiIiIteRc/2XXRY9kJwHNRIREREROUvO9V92WSQiIiIiInITtpARERERERG5CVvIiIiIiIiI3IQJGRERERERkZswIfNAer0eo0ePxujRo6HX690dDhERERGRS8m5/ssxZB5IzrPMEBERERE5S871X65D5oE0Gg0mTZok3SciIiIi8mRyrv+yhYyIiIiIiMhNOIaMiIiIiIjITdhl0QMJIZCeng4A8PHxgUKhcHNERERERESuI+f6L1vIPFB6ejr8/Pzg5+cn/WISEREREXkqOdd/mZARERERERG5CSf18EBybrIlIiIiInKWnOu/TMiIiIiIiIjchF0WiYiIiIiI3IQJmQcyGAx444038MYbb8BgMLg7HCIiIiIil5Jz/ZddFj1QWloa/Pz8AACpqanw9fV1c0RERERERK4j5/ov1yHzQGq1GqNGjZLuExERERF5MjnXfwvdQpaeno7Lly/bNAnWqlWrWAIjIiIiIiLydE6nj7du3cKAAQPwww8/2N1vMpmKHBQREREREdGjwOlJPUaPHo2kpCQcOHAA3t7e+PHHH/HFF18gLi4OGzZscEWMREREREREHsnpFrIdO3bgu+++Q8OGDaFUKhETE4M2bdogICAAs2bNQqdOnVwRJzlBzoMaiYiIiIicJef6r9MtZGlpaQgLCwMABAcH49atWwCAmjVr4tixY8UbHRERERERkQdzuoWscuXKOHv2LMqXL486depg0aJFKF++PBYuXIjIyEhXxEhO8vHxwc2bN6X7RERERESeTM71X6dnWVyxYgWMRiP69++PX3/9Fe3atcOdO3eg1WqRkJCAHj16uCpWIiIiIiIij1LkhaHT09Nx5swZREdHIzQ0tLjiIiIiIiIi8nhOjyF7++23kZ6eLj328fFBvXr14Ovri7fffrtYg6PCMRgMmDFjBmbMmGGzThwRERERkaeRc/3X6RYylUqF69evSxN7WNy5cwdhYWFch6wEkPMsM0REREREzpJz/dfpST2EEFAoFDbbf//9dwQHBxdLUFQ0arUaL774onSfiIiIiMiTybn+63ALWVBQEBQKBZKTkxEQEGCVlJlMJqSmpuKll17C/PnzXRYsERERERGRJ3E4Ifviiy8ghMDAgQMxd+5cBAYGSvu0Wi3Kly+PJk2auCxQIiIiIiIiT+P0GLJdu3ahadOm0Gg0roqJiIiIiIjokeBQQnb//n0EBARI9/NjKUfuk5aWJk26cvPmTVkNaiQiIiIicpac678OTXsfFBQkrXxdqlQpBAUF2dws24tTVlYW3nzzTcTGxsLb2xsVKlTA22+/DbPZLJURQmDq1KmIioqCt7c34uPjcfLkSavj6PV6vPLKKwgNDYWvry+6du2KK1euWJVJSkpC3759ERgYiMDAQPTt2xf37t0r1vN5mNLT062WJyAiIiIi8mRyrf86NAXJjh07pBkUf/75Z5cGlNPs2bOxcOFCfPHFF6hevTqOHDmCAQMGIDAwEKNGjQIAvPvuu5gzZw4SEhJQqVIlTJ8+HW3atMHZs2fh7+8PABg9ejQ2btyI1atXIyQkBOPGjUPnzp1x9OhRqFQqAEDv3r1x5coV/PjjjwCAIUOGoG/fvti4ceNDO9/i4u3tjQsXLkj3iYiIiIg8mZzrv06PIXuYOnfujPDwcCxZskTa9p///Ac+Pj5YtmwZhBCIiorC6NGjMWHCBADZrWHh4eGYPXs2hg4diuTkZJQuXRrLli1Djx49AADXrl1DuXLlsHnzZrRr1w6nT59GtWrVcODAATRq1AgAcODAATRp0gRnzpxB5cqVH/7JExERERGRx3Ooy2JuSUlJeP/99zFo0CC8+OKL+OCDD3D37t3ijg3NmzfH9u3b8eeffwLIXuts79696NixIwDgwoULSExMRNu2baXn6HQ6tGjRAvv27QMAHD16FEaj0apMVFQUatSoIZXZv38/AgMDpWQMABo3bozAwECpDBERERERUXFzetW0Xbt2oWvXrggMDESDBg0AAB9//DHefvttbNiwAS1atCi24CZMmIDk5GRUqVIFKpUKJpMJM2bMQK9evQAAiYmJAIDw8HCr54WHh+PSpUtSGa1WazO+LTw8XHp+YmKiNAgwp7CwMKmMPXq9Hnq93mqbTqeDTqdz8kyLl9FolNaDe/nllzkjJhERERF5NDnXf51uIXv55ZfRo0cPXLhwAWvXrsXatWvx999/o2fPnnj55ZeLNbivvvoKy5cvx8qVK3Hs2DF88cUXeP/99/HFF19Ylcu5SDWQPdFH7m255S5jr3xBx5k1a5Y0CYjlNmvWLEdOzaUMBgPGjBmDMWPGwGAwuDscIiIiIiKXknP91+kWsr/++gtr1qyRJsMAAJVKhbFjx+LLL78s1uBeffVVvP766+jZsycAoGbNmrh06RJmzZqFfv36ISIiAkB2C1dkZKT0vJs3b0qtZhERETAYDEhKSrJqJbt58yaaNm0qlblx44bN69+6dcum9S2niRMnYuzYsVbb3N06BmS/H71795buExERERF5MjnXf51uIatXrx5Onz5ts/306dOoU6dOccQkSU9Ph1JpHaJKpZKmvY+NjUVERAS2bt0q7TcYDNLi1QBQv359aDQaqzLXr1/HiRMnpDJNmjRBcnIyDh06JJU5ePAgkpOTpTL26HQ6BAQEWN1KQkLm5eWFFStWYMWKFfDy8nJ3OERERERELiXn+q/TLWQjR47EqFGjcP78eTRu3BhA9oyE8+fPx//93//h+PHjUtlatWoVKbguXbpgxowZiI6ORvXq1fHrr79izpw5GDhwIIDsboajR4/GzJkzERcXh7i4OMycORM+Pj5ShhwYGIhBgwZh3LhxCAkJQXBwMMaPH4+aNWuidevWAICqVauiffv2GDx4MBYtWgQge9r7zp07c4ZFIiIiIiJyGaenvc/dYmVzQIVCGntlMpmKFFxKSgreeustrFu3Djdv3kRUVBR69eqFyZMnQ6vVAsge5zVt2jQsWrQISUlJaNSoEebPn48aNWpIx8nMzMSrr76KlStXIiMjA61atcKCBQtQrlw5qczdu3cxcuRIbNiwAQDQtWtXzJs3D6VKlSrSORAREREREeXF6YTMMnuhI2JiYpwOiIouLS0N5cuXBwBcvHgRvr6+7g2IiIiIiMiF5Fz/dbrLIpMsebh9+7a7QyAiIiIiemjkWv91OiGzOHXqFC5fvmwzrWTXrl2LHBQVjbe3N06cOCHdJyIiIiLyZHKu/zrdZfHvv/9G9+7d8ccff0jjxYB/1/Eq6rgxIiIiIiKiR4XT096PGjUKsbGxuHHjBnx8fHDy5Ens3r0bDRo0wM6dO10QIhERERERkWdyuoUsNDQUO3bsQK1atRAYGIhDhw6hcuXK2LFjB8aNG4dff/3VVbGSg4xGIxISEgAA/fv3h0ajcW9AREREREQuJOf6r9MJWVBQEI4ePYoKFSqgYsWK+N///oeWLVvir7/+Qs2aNZGenu6qWMlBaWlp8PPzAwCkpqbKapYZIiIiIiJnybn+6/SkHjVq1MDx48dRoUIFNGrUCO+++y60Wi0WL16MChUquCJGcpJKpcLTTz8t3SciIiIi8mRyrv863UL2008/IS0tDc888wz+/vtvdO7cGWfOnEFISAi++uorPPXUU66KlYiIiIiIyKM4nZDZc/fuXQQFBUkzLRIREREREVHBHJ5l0WQy4fjx48jIyLDZ5+XlhT/++ANms7lYgyMiIiIiIvJkDidky5Ytw8CBA6HVam326XQ6DBw4ECtXrizW4Khw0tPTUb58eZQvX56TrBARERGRx5Nz/dfhhGzJkiUYP3683UFyKpUKr732GhYvXlyswVHhCCFw6dIlXLp0CcXQI5WIiIiIqESTc/3X4VkWz549i8aNG+e5v2HDhjh9+nSxBEVF4+XlhUOHDkn3iYiIiIg8mZzrvw4nZGlpabh//36e+1NSUmTXPOipVCoVGjZs6O4wiIiIiIgeCjnXfx3ushgXF4d9+/bluX/v3r2Ii4srlqCIiIiIiIgeBQ4nZL1798abb76J48eP2+z7/fffMXnyZPTu3btYg6PCycrKwooVK7BixQpkZWW5OxwiIiIiIpeSc/3X4XXIjEYj2rZti71796J169aoUqUKFAoFTp8+jW3btqFZs2bYunUrNBqNq2OmAqSlpcHPzw8AkJqaCl9fXzdHRERERETkOnKu/zo8hkyj0WDLli348MMPsXLlSuzevRtCCFSqVAkzZszA6NGjmYyVEEqlEq1bt5buExERERF5MjnXfx1uISMiIiIiIqLiJa/0kYiIiIiIyIMwISMiIiIiInITJmQeKD09HdWrV0f16tW5NhwREREReTw5138dntSD5EMIgVOnTkn3iYiIiIg8mZzrv04lZEajEZUrV8amTZtQrVo1V8VEReTl5YWff/5Zuk9ERERE5MnkXP91epbFMmXKYNu2bahataqrYiIiIiIiInokOD2G7JVXXsHs2bNltwI2ERERERFRSeN0C1n37t2xfft2+Pn5oWbNmjarYK9du7ZYAyTnZWVlYdOmTQCAzp07Q63mUEEiIiIi8lxyrv86nZANGDAg3/1Lly4tUkBUdGlpafDz8wMApKam2iTNRERERESeJGf9N+XuXfgFBbk5Isc5nToy4Sr5lEolmjZtKt0nIiIiIpIDkZUFU0oKzCkpMN1PgTnlvtVPU8p9mK1+psB8/z7S7t1DXV9fwGRG8po18HvxRXefisMK1ZaXlZWFnTt34q+//kLv3r3h7++Pa9euISAgQMpMyX28vb3xyy+/uDsMIiIiInrEFDahsvw0F3INMTWAFWXLAQC0mfpiPCPXc7rL4qVLl9C+fXtcvnwZer0ef/75JypUqIDRo0cjMzMTCxcudFWsRERERETkQu5KqHJT+PhA5e8PVYA/lP4BUPn7Qxlg+ekPlX+A9FMqE/CgjJ8fFBpNscTxMDjdQjZq1Cg0aNAAv//+O0JCQqTt3bt3x4syahokIiIiIvI0TKjkx+mEbO/evfjll1+g1WqttsfExODq1avFFhgVXkZGBp588kkAwO7du+Ht7e3miIiIiIjIEUyoCkfO9V+nEzKz2QyTyWSz/cqVK/D39y+WoKhozGYzjhw5It0nIiIiooeDCZV7yLn+63RC1qZNG8ydOxeLFy8GACgUCqSmpmLKlCno2LFjsQdIztPpdNI6DDqdzs3REBEREckHEyp5knP91+lJPa5du4aWLVtCpVLh3LlzaNCgAc6dO4fQ0FDs3r0bYWFhroqViIiIiChfTKhIbpxOyIDsPpqrV6/G0aNHYTabUa9ePfTp00dWfTWJiIiIqORhQkWPGqcSsoMHD2LDhg0wGo1o1aoV2rVr58rYqJBMJhN27NgBAHjqqaegUqncHBERERE9KkRWFsypqTClpMB0//6DxOq+AwnWg4QqLa1Y4mBC9WiRc/3X4YRs3bp1+O9//wsvLy+o1WqkpKTggw8+wOjRo10cIjkrLS1NWqA7NTUVvr6+bo6IiIiI5IIJFcmRnOu/DidkDRs2RO3atbFw4UKo1WpMnz4dc+fOxe3bt10dIzkpIyMDTZo0AQDs37+fXUmJiIgeIUyo6FEk5/qvwwlZQEAAjhw5gkqVKgEA9Ho9fH19kZiYiNDQUJcGSURERPSoYEJF9GhxeNr71NRUlCpVSnqs0+ng7e2N+/fvMyEjIiIieoAJFRE5w6l1yH766ScEBgZKj81mM7Zv344TJ05I27p27Vp80RERERE9ZCUmofL2Ljh58veHKiBA+iklXX5+UGi1xRIHEbmWw10WlUplwQdTKGAymYocFBVNRkYGOnToAAD44YcfZNWHloiIqKiEyZSdPDGhInpkyLn+W6h1yKhkk/MsM0REREyoiMhZcq7/OtVlkeRBp9Ph66+/lu4TERE9TEyoiOhhk3P9ly1kREREZIUJFRHRw8MWMiIiIg/DhIqISD6YkHkgk8mEAwcOAAAaN24MlUrl5oiIiMgZTKiIiJwj5/ovuyx6IDkPaiQi8gRMqIiIHi4513+daiH75ptvsH79ehiNRrRu3RpDhgxxVVxUBAqFAo899ph0n4iInMOEiohIXuRc/3W4hWzx4sV46aWXEBcXBy8vL5w4cQKvvfYaZs2a5eoYiYiInMKEioiI5MLhhKxmzZro1q0b3nnnHQBAQkICXnnlFaSkpLg0QCIievQIkwnm1FQpQbJOmqyTp5w/LfvMqanFEgcTKiIicjWHEzJfX1/88ccfqFChAoDsgXPe3t64fPkyIiIiXBokERHJCxMqIiIixzg8hiwjI0MaKAcAKpUKOp0O6enpLgmMCi8zMxP/+c9/AABr1qyBl5eXmyMiIrlhQkVERHIi5/qvU5N6/O9//7NKyrKyspCQkIDQ0FBp28iRI4svOioUk8mEzZs3S/eJ6NHDhIqIiB4lcq7/OtxlsXz58gXOWKJQKPD3338XS2BUeEajEStWrAAA9OnTBxqNxs0REZGzmFARERE5Ts713xK/DtnVq1cxYcIE/PDDD8jIyEClSpWwZMkS1K9fHwAghMC0adOwePFiJCUloVGjRpg/fz6qV68uHUOv12P8+PFYtWoVMjIy0KpVKyxYsABly5aVyiQlJWHkyJHYsGEDAKBr16745JNPUKpUqYd6vkTkGZhQERERkSNKdEKWlJSEunXromXLlhg2bBjCwsLw119/oXz58qhYsSIAYPbs2ZgxYwYSEhJQqVIlTJ8+Hbt378bZs2fh7+8PABg2bBg2btyIhIQEhISEYNy4cbh79y6OHj0qreLdoUMHXLlyBYsXLwYADBkyBOXLl8fGjRvdc/JE5FZMqIiIiOhhcCohM5vNSEhIwNq1a3Hx4kUoFArExsbi2WefRd++fYt9EbbXX38dv/zyC/bs2WN3vxACUVFRGD16NCZMmAAguzUsPDwcs2fPxtChQ5GcnIzSpUtj2bJl6NGjBwDg2rVrKFeuHDZv3ox27drh9OnTqFatGg4cOIBGjRoBAA4cOIAmTZrgzJkzqFy5crGel6uZTCb88ccfALKXK7AknUSPEiZUREREjw45138dntRDCIGuXbti8+bNqF27NmrWrAkhBE6fPo3+/ftj7dq1WL9+fbEGt2HDBrRr1w7//e9/sWvXLpQpUwbDhw/H4MGDAQAXLlxAYmIi2rZtKz1Hp9OhRYsW2LdvH4YOHYqjR4/CaDRalYmKikKNGjWwb98+tGvXDvv370dgYKCUjAFA48aNERgYiH379skuIcvMzETdunUBAKmpqfD19XVzRETOY0JFREREjpJz/dfhhCwhIQG7d+/G9u3b0bJlS6t9O3bsQLdu3fDll1/ihRdeKLbg/v77b3z66acYO3YsJk2ahEOHDmHkyJHQ6XR44YUXkJiYCAAIDw+3el54eDguXboEAEhMTIRWq0VQUJBNGcvzExMTERYWZvP6YWFhUhl79Ho99Hq91TadTgedTuf8yRYjhUKBqKgo6T6ROzChIiIioodFzvVfhxOyVatWYdKkSTbJGAA89dRTeP3117FixYpiTcjMZjMaNGiAmTNnAgDq1q2LkydP4tNPP7V6ndwXXQhR4BuRu4y98gUdZ9asWZg2bZrVtilTpmDq1Kn5vrar+fj44OrVq26NgeSPCRURERHJhZzrvw4nZMePH8e7776b5/4OHTrg448/LpagLCIjI1GtWjWrbVWrVsWaNWsAABEREQCyW7giIyOlMjdv3pRazSIiImAwGJCUlGTVSnbz5k00bdpUKnPjxg2b179165ZN61tOEydOxNixY622ubt1jMiCCRURERFRyedwQnb37t18k5Pw8HAkJSUVS1AWzZo1w9mzZ622/fnnn4iJiQEAxMbGIiIiAlu3bpX6jBoMBuzatQuzZ88GANSvXx8ajQZbt27Fc889BwC4fv06Tpw4ISWYTZo0QXJyMg4dOoTHH38cAHDw4EEkJydLSZs9JaF7InmuEpNQeXn9myAVmFjZJlhKJlREREREeXI4ITOZTFCr8y6uUqmQlZVVLEFZjBkzBk2bNsXMmTPx3HPP4dChQ1i8eLE0Nb1CocDo0aMxc+ZMxMXFIS4uDjNnzoSPjw969+4NAAgMDMSgQYMwbtw4hISEIDg4GOPHj0fNmjXRunVrANmtbu3bt8fgwYOxaNEiANnT3nfu3Fl2E3oA2YMa+/btCwBYtmwZvLy83BzRo4kJFREREdHDIef6r8PT3iuVSnTo0CHPFiG9Xo8ff/wRJpOpWAPctGkTJk6ciHPnziE2NhZjx46VZlkE/l0YetGiRVYLQ9eoUUMqk5mZiVdffRUrV660Whi6XLlyUpm7d+/aLAw9b948WS4MnZaWBj8/PwDym2WmJBFmc3ZCdT8F5pT7dn/ml1iZU1OBYljmjwkVERERUf7kXP91OCEbMGCAQwdcunRpkQKiojMajVYLXGs0GjdH5B5MqIiIiIgeDXKu/zq1MDTRw8SEioiIiIg8ncNjyIicxYSKiIiIiCh/Didk169fx7x58zBjxgwAQPPmzZGeni7tV6lUWL9+PcqUKVP8UZJTzGYz/vrrLwBAxYoVoVQqC3UcJlREREREJAfFVf91B4e7LL711lu4e/cu5s+fDwDw9/fHwIEDERwcDAD44Ycf0Lx5c7z//vuui5YcknNQY/K1a/AymZlQEREREZHHkvOkHg63kG3cuBHvvfee1bZRo0ahQoUKAIDGjRtj7NixTMhKgMw/z8FfpQKEwLkW8fAp4jcETKiIiIiIqKQLDAx0dwiF4nBCdvHiRVSsWFF63KZNG6vMs3Llyrhw4ULxRkeF4h8SjIOPxUmPmVARERERkSfz9fXFvXv33B1GoTickGVlZSE5OVl6vHbtWqv9SUlJsuqr6ck0kZGo8MNmJlRERERERCWcwxlU5cqVsW/fvjz379mzB5UqVSqWoKhoFBoNdLGxUIeEMBkjIiIiIirBHE7IevbsicmTJ+P48eM2+37//XdMmzYNvXr1KtbgqHD0ej369++P/v37Q6/XuzscIiIiIiKXknP91+FZFo1GI1q3bo19+/ahTZs2qFy5MhQKBc6cOYOtW7eiSZMm2L59u6xWxfZUcp5lhoiIiIjIWXKu/zo8hkyj0WDr1q2YM2cOVq9ejZ07dwIA4uLi8M4772DMmDFMxkoIjUaDd999V7pPREREROTJ5Fz/dbiFjIiIiIiIiIoXp0UkIiIiIiJyE4e7LJJ8mM1mXL9+HQAQGRnJ5QiIiIiIyKPJuf7LLoseSM6DGomIiIiInCXn+i9byDyUWs23loiIiIgeHXKt/7KFjIiIiIiIyE2cTiNNJhMSEhKwfft23Lx5E2az2Wr/jh07ii04IiIiIiIiT+Z0QjZq1CgkJCSgU6dOqFGjBhQKhSviIiIiIiIi8nhOd1kMDQ3Fl19+iY4dO7oqJiqi++n38eLLL0Kj0mD67OkI8Q+Br9oXKqXK3aERERERERU7vV6PsWPHAgDmzJkDnU7n5ogc53RCFhUVhZ07d6JSpUquiomK6NS1U6hepjoAoNqialDqsqf99FH7wE/rB3+NP3y1vvDX+MNP6wc/zYOb9t+fOcv4anyzt2n9oVVq2SpKRERERCXKIzXL4rhx4/DRRx9h3rx5rJiXUAq1Ao899xgMJgM0Gg1MMAEA0rPSkZ6Vjpu4Wehjq5Vq60Quj4TOT5OdwPlqfOGv9bcq46vxhVIhn7UhiIiIiKhk02g0mDJlinRfTpxuIevevTt+/vlnBAcHo3r16jYnvHbt2mINkIrOYDIgxZCCVGNq9s3w4PbgcYohBWnGtHzLpBnTijUmX42vVdImtcrlTOByJ305kj9/rT+0Km2xxkRERERE9LA53UJWqlQpdO/e3RWxkItoVVqEeIcgxDuk0McwmU1Iz0rPP5EzpFr/zLUtxZiCLHMWACDNmIY0YxpupN8odEwapUZK3gpK5PJK9nw0PmytIyIiIiK34TpkHkgIgeTkZABAYGBgielaKoSAwfygtc6Q3eqWYkyxSdrSDGnWCd+DbZay6VnpxRaTAgqphS5nt8rc4+zsdb3MWVajklfTOBEREZEnKan1X0cwIfNAch7U6AiT2YS0rDTbFjlDAV0wc/3MElnFFpNWqZUmPvHVFJDI5ep6aSnjo/aR1YcHERERUUkh5/qv010WAeDbb7/F119/jcuXL8NgMFjtO3bsWLEERpQXlVKFAG0AArQBhT6GEAJ6k75QXS9ztuZlZGUAAAxmA+5m3sXdzLuFjkmpUMJX7WuTtDnS9TLnT42SrXVEREREcuF0Qvbxxx/jjTfeQL9+/fDdd99hwIAB+Ouvv3D48GG8/PLLroiRnOTj4yMlymp1oXJuj6dQKOCl9oKX2guh3qGFPk6WOQtpxrR8k7acyV7Orpc5kz2TMMEszEgxpiDFmAIUYQ4VnUqX/4QpDiR73mpvttYRERGRbMi5/ut0l8UqVapgypQp6NWrF/z9/fH777+jQoUKmDx5Mu7evYt58+a5KlYijySEQKYp024il2qwHkuXX+udpbWuOCgVSquul/aWOJASvlxdLy3P89X6srWOiIiIqABOJ2Q+Pj44ffo0YmJiEBYWhq1bt6J27do4d+4cGjdujDt37rgqViLKh6W1zpExdLnL5LxvFuZii8lL5eVwIpfXODu21hEREZEnc7o9LyIiAnfu3EFMTAxiYmJw4MAB1K5dGxcuXADnBykZDAYD3njjDQDAjBkzoNVyva5HgVqpRqAuEIG6wEIfQwiBjKwMh9esk+7narHLNGUCADJNmcjMyMTtjNuFjkmlUFklbQV1vbQ3YYqvxhdqpby6LxAREZHj5Fz/dbqF7MUXX0S5cuUwZcoULFy4EGPHjkWzZs1w5MgRPPPMM1iyZImrYiUHyXmWGfIMRrNRGi+XV9JW0Jp1aca0Ym2t81Z72+16aXfCFMsMmbm6bHqpvNhaR0REVALJuf7r9FfGixcvhtmcXUl66aWXEBwcjL1796JLly546aWXij1Acp5Go8H48eOl+0QPm0apQSmvUijlVarQx7C01jkyhi53mZyteHqTHgCQkZWBjKwM3Mq4VeiY1Ao1fLW5ulvms8RBzu6ZORNBlVJV6BiIiIjIlpzrv1yHjIg8mtFktEnicna9LHDClAePBYrvo9Jb7W1/wpQCul7m3KdT6dhaR0RE5AEKlZDt2bMHixYtwl9//YVvv/0WZcqUwbJlyxAbG4vmzZu7Ik4iIrcxC7N1a13uCVPsJHs2yx4YUmEwGwp+MQeplWqbpM3RJQ4sP33VvmytIyIicjOnuyyuWbMGffv2RZ8+ffDrr79Cr8/uDpSSkoKZM2di8+bNxR4kOUcIgaysLADZ6zDwW3SiorEsA+CrKVp/dIPJkOd6dDaJXB5r1qUZ0yAgkGXOwj39PdzT3ytSTD5qn38TOW2ucXP2xtlpbbtp6lS6IsVARERUVHKu/zrdQla3bl2MGTMGL7zwgtU6ZL/99hvat2+PxMREV8VKDpLzoEYiyp9ZmJFuTLe/jIG9rpd5TJxSnK11GqXGbitcvksc5Er6fDW+UCqUxRYTERE9WuRc/3W6hezs2bN48sknbbYHBATg3r17xRETERHlQalQSmu1oQj/awwmg0OJXH4TpqQZ0wBkz6qZpE9Ckj6pSOeWO3mz6YKZR9fLnGW0KvlMc0xERAQUIiGLjIzE+fPnUb58eavte/fuRYUKFYorLioCHx8fJCUlSfeJiHLTqrQI8Q5BiHdIoY9hFmapm2Vea9VZ9tnbZumemWXO7mKSZkxDmjENN9JvFP68lFq7k6Pk1fXSXrLno/Fhax0RkczIuf7rdEI2dOhQjBo1Cp9//jkUCgWuXbuG/fv3Y/z48Zg8ebIrYiQnKRQKlCpVyt1hEJGHUyqU8Nf6w1/rX6Tj6E36gsfQ5V7qIFeZ9Kx0AIDBbMDdzLu4m3m30PEooJBa6KyWMchjDF1eZTQqeU27TET0UAgBmLMAkwHI0mf/NBmArAc/TXrr+yZjrnIPtuUqpzAZUSpLn729Wjcgro27z9RhTidkr732GpKTk9GyZUtkZmbiySefhE6nw/jx4zFixAhXxEhERB5Mp9JB561DqHdooY9hMpuQlpVW4Bi6/LpgphpSkSWyICCk5xT1vOwlbXbH2eWx1IGP2kdWA9OJqAQxm+wkMoZcCZA+VzKUO0kqxHMcKVeMS8nYFVxRVglZodchS09Px6lTp2A2m1GtWjVpEB25n8FgwMyZMwEAkyZNglbLMRVERAURQkBv0tsfQ5d7qYM8fqYYU5CRlVFsMSkVSviqfaVxg3l2wSxgnJ1GydY6IpcwmwvRqpPjvlSugOdYJTkOlhNmd18dx6l0gFoHqDQP7msBlTb7vkrzYN+DbXmUM5iVmPnVfkCpwqQ3JkP7mHyW4uLC0B5IzrPMEBHJnclsshk3l3M9ugLXrHuQ3JmEqdhi8lJ5WSVtNkscOJDseau92VpH7iFEAQlKQa01BXWLK0K5B2NgZcGS0OROalTaB4lNAcmPVTltjmRIa/2cPMvprJ9jeZ5SDRTDZ4uc678Od1kcOHCgQ+U+//zzQgdDxUOtVmP48OHSfSIienhUShUCdYEI1AUW+hhCCGSaMm1a36QELo8ZMnNvs7TWZZoykWnKxJ3MO4WOybIeX36JXL5LHTwoo1by/1KJZBnXk1d3tTzG7dhv4bHXElSIFh5LObPR3VfHcUp1oVt4nC+X876lXD6Jlod/oSLn+q/DLWRKpRIxMTGoW7cu8nvKunXrii04IiIiKrwsc1Z2EpfHGLr8xtnlbMUrztY6b7V3nkmb5b7dsXc5kj9Zt9aZsoqpVcfxyQ4cLicXClUxtPDYK1fIFp6cj5WcoZWc53BCNnz4cKxevRrR0dEYOHAgnn/+eQQHB7s6PiIiInIjIQQysjKsx9DZWXDcXiKXs8tmcY6tUylUdhM5KWlT+8JP7Q0/lQ5+Ki/4q7TwVWjgr9TCT6mGn0INXyihNmcVcdyOo5MY5DiebMb1KOy0wmidS1AK1RKUM4Gy1xKkBZQqd18comLl1BgyvV6PtWvX4vPPP8e+ffvQqVMnDBo0CG3btpXvN1VERETkPGkyg/xadf5NUIzGDKQZ7yNV/yCBM6YiLSsdKcZ0pJrSkZaViRRTJlJNeqSaDQ9uRqSKLKQKE1JgQpoww1yM1Q1vsxl+ZjP8zAL+ZjN8RY77ZvODn9mP/XLeF/8+z0sIFCmkYm3hKcxYnzwSLZW8unwRyVmhJ/W4dOkSEhIS8OWXX8JoNOLUqVOcabGESEtLk9Yhu3fvnqwGNRIRUQ5CFHE2tiJOTZ1fOTeM6xEAMhQKpCiVSFNafiqRolAgVanMcfv3saVMqlKFFKUCaUoFMovxS2Q1lPC1tMSpveGr9oa/2gd+Gt8HLXd+8NMGwE/jDz+vQPjrAuGrDYSfdxD8daXg+6BVT8VWH6IikXP9t9BffygUCigUCgghYDbLpfn90ZGVJaNZf4iI3MlFi5Q6PtlBPuVMBndfHcdZJjMo9haef8spVFr4qHXwcXasT64EzGgy5rmMgaMTpqQZ02AWZmTBjGRTBpJNGYAhqdCXz0ftY3e8XEFr1eWcXEWn0rHHEj3S5Fr/LXSXxb1796Jz584YMGAA2rdvDyUHMZYYZrMZ169fBwBERkbyvSGikuFRXqS0uChUTo7hKa6xPg7M5vaI/a8RQiA9Kz3PRC73Mga5J1CxlNcX42QaaqXabiJntVZdfkscaH3hq/Zlax3Jkpzrv4Wa1GPAgAF4/vnnERIS4ur4iIjIGVyktBgoXNbC4/hsbnmM9WFF2eMYTcbsJQ0MuVrl7K1V96CM1YQphuyJVEQxfqnga+lu6ehadTnWtbMkfjqVrtjiIfJ0Tk17Hx0djbp16+bbHL527dpiC46IqETiIqXFo1hbeOyVK+RsbkqVx6/XQ57FLMxIN6bbX8bAXrJnZ5bMVEMqDObi6yKrUWpskjerlrt8ul5atvtqfKFUyKeVg6iwHB5D9sILL7BfskwYDAZ89NFHAIBRo0ZBq9W6OSKiQshzkdIiLDj6SC5SqsmjFcbNs7k9AouUEj0sSoVSGnuGIsxjYDAZrLpeFpTIWcrkXvYAAIxmI5L0SUjSF35cnQKKf1vrLEscaHO13NlJ+nJ309SqWA96FMi5/lvoWRap5EpLS5NmvExNTZXVLDPkBlyktOikRUodHY9TlHJOJE1KzSM3roeI3MsszEgzptkdQ2dvfTp74+xSjCnIKsbWfq1S63TXy9xlfDQ+bK0r4eRc/+UiEx5IrVajX79+0n0qAcymhzRux9FJDGS4SKlCmU8rjIvH7RTUfY7jeoiIAGS31vlr/eGv9UeEb0Shj6M36W1b5iytcpZELo+ul5YyacY0AIDBbMDdzLu4m3m30PEooJBa6Ky6W+Yxhi5nQpezjEalKXQMlD8513/ZQkaew6FFSosw2UFRWoKEyd1Xx3G5W2Fc2sJjbwa3PBItLlJKREROMJlNSMtKK7jrZc5umpZJVHJsK87WOp1KZzdpszvOLvcMmQ/K+Kh9OIzIwzAhI+dwkdLiYdMC48pxO/bK5TFBglLNcT1EREQPCCGyW+sKSORsljqwlH/wnPSs9GKLSalQShOj5EzacrfG2ZswJedPjZKtdSWFrBKyWbNmYdKkSRg1ahTmzp0LIPsPZdq0aVi8eDGSkpLQqFEjzJ8/H9WrV5eep9frMX78eKxatQoZGRlo1aoVFixYgLJly0plkpKSMHLkSGzYsAEA0LVrV3zyySfSit+yknYH+OObfFp1HrFFSou9hcdeOQfW6MmZaDHpISIiemSYzCabcXOW+46uWZdqSEWWKL7WOi+VV/4TpuQaS2dvnJ232putdcVANgnZ4cOH8dxzzyEgIAAtW7aUErLZs2djxowZSEhIQKVKlTB9+nTs3r0bZ8+ehb+/PwBg2LBh2LhxIxISEhASEoJx48bh7t27OHr0KFSq7LEfHTp0wJUrV7B48WIAwJAhQ1C+fHls3LjRLedbFGkXjqJM1QYAgKtj/eGrdeEfijSZwcNeo6eAKbBVWk5mQERERB5DCIFMU6bDY+gsZXK24qUaU5GRlVFsMakUKqvWOruJXH5LHTwoo1YWfVhCWloaypQpAwC4evWqrCb1kEVClpqainr16mHBggWYPn066tSpg7lz50IIgaioKIwePRoTJkwAkN0aFh4ejtmzZ2Po0KFITk5G6dKlsWzZMvTo0QMAcO3aNZQrVw6bN29Gu3btcPr0aVSrVg0HDhxAo0aNAAAHDhxAkyZNcObMGVSuXNlt514YaYl/wy+yIgAg9auXsn8hXTXWh5MZEBEREclGljlLWqLAJpGzs0B5XmPvTMU4Pt5b7Z1n0lZQ10tL90yz3iw1xnCWRRd4+eWX0alTJ7Ru3RrTp0+Xtl+4cAGJiYlo27attE2n06FFixbYt28fhg4diqNHj8JoNFqViYqKQo0aNbBv3z60a9cO+/fvR2BgoJSMAUDjxo0RGBiIffv25ZmQ6fV66PXWU3PrdDrodO5dnd47rDz+/PPP7PsVK7KliIiIiIgAAGqlGoG6QATqAgt9DCEEMrIybFrfcv/MuT6dvWUPLK11GVkZyMjKwO2M24WOSSmUqDenHnw0Pvju0nfoXa13oY/1sJX4hGz16tU4duwYDh8+bLMvMTERABAeHm61PTw8HJcuXZLKaLVaBAUF2ZSxPD8xMRFhYWE2xw8LC5PK2DNr1ixMmzbNatuUKVMwderUgk/MhZRKJeLi4twaAxERERF5JoVCAR+ND3w0PiiN0oU+jtFsRLoxPc816+wlcvZa7MzCDLPCDEOwAQYYYBQymugNJTwh++effzBq1Chs2bIFXl5eeZbLPZhQCFHgAMPcZeyVL+g4EydOxNixY622ubt1jIiIiIhIDjRKTbG11uXsehnuE17wE0uQEt2X7ejRo7h58ybq168PtVoNtVqNXbt24eOPP4ZarZZaxnK3Yt28eVPaFxERAYPBgKSkpHzL3Lhxw+b1b926ZdP6lpNOp0NAQIDVrSQkZEajEfPnz8f8+fNhNMrrGwIiIiIiIkdZWuuCNEH4YcUP2Pv1XoRoQ9wdllNKdELWqlUr/PHHH/jtt9+kW4MGDdCnTx/89ttvqFChAiIiIrB161bpOQaDAbt27ULTpk0BAPXr14dGo7Eqc/36dZw4cUIq06RJEyQnJ+PQoUNSmYMHDyI5OVkqIycGgwEjRozAiBEjYDDIaJp6IiIiIqJCkHP9t0R3WfT390eNGjWstvn6+iIkJETaPnr0aMycORNxcXGIi4vDzJkz4ePjg969swfyBQYGYtCgQRg3bhxCQkIQHByM8ePHo2bNmmjdujUAoGrVqmjfvj0GDx6MRYsWAcie9r5z586ym2ERAFQqFZ599lnpPhERERGRJ5Nz/bdEJ2SOeO2115CRkYHhw4dLC0Nv2bJFmvYSAD788EOo1Wo899xz0sLQCQkJVm/WihUrMHLkSGk2xq5du2LevHkP/XyKg5eXF7755ht3h0FERERE9FDIuf4ri3XIiIiIiIiIPFGJHkNGRERERETkyZiQeaD09HSUKVMGZcqUQXp6urvDISIiIiJyKTnXf2U/hoxsCSFw7do16T4RERERkSeTc/2XCZkH8vLywq+//irdJyIiIiLyZHKu/3JSDyIiIiIiIjfhGDIiIiIiIiI3YZdFD2Q0GrFixQoAQJ8+faDRaNwcERERERGR68i5/ssuix4oLS0Nfn5+AIDU1FT4+vq6OSIiIiIiIteRc/2XLWQeSKVSoWPHjtJ9IiIiIiJPJuf6L1vIiIiIiIiI3ISTehAREREREbkJEzIiIiIiIiI3YULmgdLT0xEXF4e4uDikp6e7OxwiIiIiIpeSc/2Xk3p4ICEEzp8/L90nIiIiIvJkcq7/MiHzQF5eXti7d690n4iIiIjIk8m5/stZFomIiIiIiNyEY8iIiIiIiIjchF0WPVBWVhbWrVsHAOjevTvUar7NREREROS55Fz/ZZdFD5SWlgY/Pz8AQGpqKnx9fd0cERERERGR68i5/iuf1JEcplQq0aJFC+k+EREREZEnk3P9ly1kREREREREbiKv9JGIiIiIiMiDMCEjIiIiIiJyEyZkHigjIwN16tRBnTp1kJGR4e5wiIiIiIhcSs71X44h80BynmWGiIiIiMhZcq7/cpZFD+Tl5YUtW7ZI94mIiIiIPJmc679sISMiIiIiInITjiEjIiIiIiJyE3ZZ9EBZWVn46aefAADt2rWDWs23mYiIiIg8l5zrv+yy6IHkPKiRiIiIiMhZcq7/yid1JIcplUo0aNBAuk9ERERE5MnkXP9lCxkREREREZGbyCt9JCIiIiIi8iBMyIiIiIiIiNyECZkHysjIQLNmzdCsWTNkZGS4OxwiIiIiIpeSc/2XY8g8kJxnmSEiIiIicpac67+cZdED6XQ6rFu3TrpPREREROTJ5Fz/ZQsZERERERGRm3AMGRERERERkZuwy6IHMplM2LNnDwDgiSeegEqlcnNERERERESuI+f6L7sseiA5D2okIiIiInKWnOu/bCHzQAqFAtWqVZPuExERERF5MjnXf9lCRkRERERE5Cac1IOIiIiIiMhNmJARERERERG5CRMyD5SRkYE2bdqgTZs2yMjIcHc4REREREQuJef6L8eQeSA5zzJDREREROQsOdd/OcuiB9LpdFi+fLl0n4iIiIjIk8m5/ssWMiIiIiIiIjfhGDIiIiIiIiI3YZdFD2QymXDs2DEAQL169aBSqdwcERERERGR68i5/ssuix5IzoMaiYiIiIicJef6L1vIPJBCoUBMTIx0n4iIiIjIk8m5/ssWMiIiIiIiIjfhpB5ERERERERuwoSMiIiIiIjITUp0QjZr1iw0bNgQ/v7+CAsLQ7du3XD27FmrMkIITJ06FVFRUfD29kZ8fDxOnjxpVUav1+OVV15BaGgofH190bVrV1y5csWqTFJSEvr27YvAwEAEBgaib9++uHfvnqtP0SUyMzPRrVs3dOvWDZmZme4Oh4iIiIjIpeRc/y3RY8jat2+Pnj17omHDhsjKysIbb7yBP/74A6dOnZJmTpk9ezZmzJiBhIQEVKpUCdOnT8fu3btx9uxZ+Pv7AwCGDRuGjRs3IiEhASEhIRg3bhzu3r2Lo0ePSlNidujQAVeuXMHixYsBAEOGDEH58uWxceNG95x8Ech5lhkiIiIiImfJuf5bohOy3G7duoWwsDDs2rULTz75JIQQiIqKwujRozFhwgQA2a1h4eHhmD17NoYOHYrk5GSULl0ay5YtQ48ePQAA165dQ7ly5bB582a0a9cOp0+fRrVq1XDgwAE0atQIAHDgwAE0adIEZ86cQeXKld12zoVhNBqRkJAAAOjfvz80Go17AyIiIiIiciE5139LdJfF3JKTkwEAwcHBAIALFy4gMTERbdu2lcrodDq0aNEC+/btAwAcPXoURqPRqkxUVBRq1Kghldm/fz8CAwOlZAwAGjdujMDAQKmMnGg0GgwePBiDBw+W1S8jEREREVFhyLn+K5t1yIQQGDt2LJo3b44aNWoAABITEwEA4eHhVmXDw8Nx6dIlqYxWq0VQUJBNGcvzExMTERYWZvOaYWFhUhl79Ho99Hq91TadTgedTufk2RERERER0aNINi1kI0aMwPHjx7Fq1SqbfbkXfxNCFLggXO4y9soXdJxZs2ZJk4BYbrNmzSroVFzObDbj5MmTOHnyJMxms7vDISIiIiJyKTnXf2XRQvbKK69gw4YN2L17N8qWLSttj4iIAJDdwhUZGSltv3nzptRqFhERAYPBgKSkJKtWsps3b6Jp06ZSmRs3bti87q1bt2xa33KaOHEixo4da7WtJLSOZWRkSK2IchvUSERERETkLDnXf0t0C5kQAiNGjMDatWuxY8cOxMbGWu2PjY1FREQEtm7dKm0zGAzYtWuXlGzVr18fGo3Gqsz169dx4sQJqUyTJk2QnJyMQ4cOSWUOHjyI5ORkqYw9Op0OAQEBVreSkJABQGhoKEJDQ90dBhERERHRQyHX+m+JnmVx+PDhWLlyJb777jurmQ4DAwPh7e0NIHva+1mzZmHp0qWIi4vDzJkzsXPnTptp7zdt2oSEhAQEBwdj/PjxuHPnjs2099euXcOiRYsAZE97HxMTI8tp74mIiIiISB5KdEKW1/itpUuXon///gCyW9GmTZuGRYsWISkpCY0aNcL8+fOlJksge6G4V199FStXrkRGRgZatWqFBQsWoFy5clKZu3fvYuTIkdiwYQMAoGvXrpg3bx5KlSrlsvMjIiIiIqJHW4lOyIiIiIiIiDxZiR5DRoWTmZmJPn36oE+fPsjMzHR3OERERERELiXn+i9byDxQWloa/Pz8AMhvlhkiIiIiImfJuf4ri2nvyTlarRYffvihdJ+IiIiIyJPJuf7LFjIiIiIiIiI34RgyIiIiIiIiN2GXRQ9kNptx+fJlAEB0dDSUSubdREREROS55Fz/ZZdFDyTnQY1ERERERM6Sc/2XLWQeysfHx90hEBERERE9NHKt/7KFjIiIiIiIyE3k07mSiIiIiIjIwzAhIyIiIiIichMmZB5Ir9dj8ODBGDx4MPR6vbvDISIiIiJyKTnXfzmGzAPJeZYZIiIiIiJnybn+y1kWPZBGo8H06dOl+0REREREjhBCQAjALATMAhD493HO7bBsg2WbeLAtx3ZzdruPdKwcP6Xnmf99jX+Pn73/3/L/vr7IEZfltSCyW8j6j3wdQghcSTagsowSMraQEREREZVQIndFtoiVY5GjIuvKynHuCjhy7Ld6Piyvadlm2Q/r1zVbYrROGP59nr34cl4PSGUs1yLf64l/r4Xd80Lubf/Gbfu61udqez3/Paawd6x8zjWv9+Hfbbnf+zzegxyPPcGE9lUwLL6iu8NwGFvIiIiIHORs5ThnJcrVleOcr1HUynHO13B15diq8lnEyrEQuZ/vusrxv88reuX43+d5ZuWYHg0KBaBUKKBUAAoooFDk3KaAwlJGmX1fqbCU+fc5ygePrY5lKYccx8r5vAdls4+fvS08QOfei+EkJmQeSAiB27dvAwBCQ0OhUCjcHBGRa+SuQJkf1F6Ko3Kcs2Jlr3JsVZG1isX5ynHO13B15djueRWycmx7PV1YOba5RkWpHOe6RqwckweyVzlW5qjo2q8cW/YXQ+VYYTluzn3/vpZSmbPSnr0/d6U6Z8yKHJV6S1nkOkelEgByHCvn82EnPgXsvG6Oa5DretkmEA+uX87zevAaeZ1rzriUin/jzXkNbM5LgRzbcsVn8z78ey1sr2eu3welddzIda7/xpLf9fz3p7vlrv/KCbsseiB3DWosSuXYUvl5GJXjPCuRhagcm3PF7crKcZ7X0wWV47yvp/OVY5vryMoxPYJcXTnOs8JYiMqxbVzWx8pZYSxq5dhyvg+jciw9rxgqxwpF7ue7rnKc83zlVDkmetg4qQeVKJfvpEn3u3y8Bwqtl0sqx7mTDCK5KGrlOGfFqqiV45xlXF05VuSKy5WVY7vnVcjKcc7trq4cKx9UZIujcpzzGhAREeWFLWQe6NyNFLT5cLe7w3BYgZXjnN98Qj6VY+kb22KoHNvvI+2ayrFUIX0IleO8r6fzlWOFEvlfT1aOiYiIqARiQuaB0g1ZOHbpnk3l2G6/5kJWjvPs1wxWjomIiIiIHMWEjIiIiIiIyE2U7g6AiIiIiIjoUcWEjIiIiIiIyE2YkBEREREREbkJEzIiIiIiIiI3YUJGRERERETkJkzIiIiIiIiI3IQJGRERERERkZswISMiIiIiInITJmRERERERERuwoSMiIiIiIjITZiQERERERERuQkTMiIiIiIiIjdhQkZEREREROQmTMiIiIiIiIjcRO3uADyJEAIpKSnuDoOIiIiIiEoIf39/KBSKPPczIStGKSkpCAwMdHcYRERERERUQiQnJyMgICDP/QohhHiI8Xi0ktRCdv/+fZQrVw7//PNPvr8ARERERESeoKTWf9lC9hApFIoS9eYDQEBAQImLiYiIiIjIVeRW/+WkHkRERERERG7ChIyIiIiIiMhNmJB5KJ1OhylTpkCn07k7FCIiIiIil5Nr/ZeTehAREREREbkJW8iIiIiIiIjchAkZERERERGRmzAhIyIiIiIichMmZCXY7t270aVLF0RFRUGhUGD9+vVW+2/cuIH+/fsjKioKPj4+aN++Pc6dO2dVJj4+HgqFwurWs2dPaf/FixcxaNAgxMbGwtvbGxUrVsSUKVNgMBgexikSEREREUkeRv13586dNvstt8OHDz+M07TChKwES0tLQ+3atTFv3jybfUIIdOvWDX///Te+++47/Prrr4iJiUHr1q2RlpZmVXbw4MG4fv26dFu0aJG078yZMzCbzVi0aBFOnjyJDz/8EAsXLsSkSZNcfn5ERERERDk9jPpv06ZNrfZdv34dL774IsqXL48GDRq4/BxzUz/0VySHdejQAR06dLC779y5czhw4ABOnDiB6tWrAwAWLFiAsLAwrFq1Ci+++KJU1sfHBxEREXaP0759e7Rv3156XKFCBZw9exaffvop3n///WI8GyIiIiKi/D2M+q9Wq7XaZzQasWHDBowYMQIKhaIYz8YxbCGTKb1eDwDw8vKStqlUKmi1Wuzdu9eq7IoVKxAaGorq1atj/PjxSElJyffYycnJCA4OLv6giYiIiIgKyVX13w0bNuD27dvo37+/S+IuCFvIZKpKlSqIiYnBxIkTsWjRIvj6+mLOnDlITEzE9evXpXJ9+vRBbGwsIiIicOLECUycOBG///47tm7dave4f/31Fz755BN88MEHD+tUiIiIiIgK5Kr675IlS9CuXTuUK1fuYZ2KFSZkMqXRaLBmzRoMGjQIwcHBUKlUaN26tU0T7+DBg6X7NWrUQFxcHBo0aIBjx46hXr16VmWvXbuG9u3b47///a9Vky8RERERkbu5ov575coV/PTTT/j6668fyjnYwy6LMla/fn389ttvuHfvHq5fv44ff/wRd+7cQWxsbJ7PqVevHjQajc1sNNeuXUPLli3RpEkTLF682NWhExERERE5rTjrvwCwdOlShISEoGvXrq4MO19MyDxAYGAgSpcujXPnzuHIkSN4+umn8yx78uRJGI1GREZGStuuXr2K+Ph41KtXD0uXLoVSyV8LIiIiIiq5ilr/BbJnbVy6dCleeOEFaDQaV4ecJ3ZZLMFSU1Nx/vx56fGFCxfw22+/ITg4GNHR0fjmm29QunRpREdH448//sCoUaPQrVs3tG3bFkD2eLAVK1agY8eOCA0NxalTpzBu3DjUrVsXzZo1A5DdMhYfH4/o6Gi8//77uHXrlvR6ec1MQ0RERETkCg+j/muxY8cOXLhwAYMGDXqo52hDUIn1888/CwA2t379+gkhhPjoo49E2bJlhUajEdHR0eLNN98Uer1eev7ly5fFk08+KYKDg4VWqxUVK1YUI0eOFHfu3JHKLF261O5r8FeDiIiIiB62h1H/tejVq5do2rTpwzq1PCmEEOLhp4FERERERETEwUJERERERERuwoSMiIiIiIjITZiQERERERERuQkTMiIiIiIiIjdhQkZEREREROQmTMiIiIiIiIjchAkZERERERGRmzAhIyIiIiIichMmZERERE6aOnUq6tSp4+4wiIjIAyiEEMLdQRAREZUUCoUi3/39+vXDvHnzoNfrERIS8pCiIiIiT8WEjIiIKIfExETp/ldffYXJkyfj7Nmz0jZvb28EBga6IzQiIvJA7LJIRESUQ0REhHQLDAyEQqGw2Za7y2L//v3RrVs3zJw5E+Hh4ShVqhSmTZuGrKwsvPrqqwgODkbZsmXx+eefW73W1atX0aNHDwQFBSEkJARPP/00Ll68+HBPmIiI3IoJGRERUTHYsWMHrl27ht27d2POnDmYOnUqOnfujKCgIBw8eBAvvfQSXnrpJfzzzz8AgPT0dLRs2RJ+fn7YvXs39u7dCz8/P7Rv3x4Gg8HNZ0NERA8LEzIiIqJiEBwcjI8//hiVK1fGwIEDUblyZaSnp2PSpEmIi4vDxIkTodVq8csvvwAAVq9eDaVSif/973+oWbMmqlatiqVLl+Ly5cvYuXOne0+GiIgeGrW7AyAiIvIE1atXh1L57/ec4eHhqFGjhvRYpVIhJCQEN2/eBAAcPXoU58+fh7+/v9VxMjMz8ddffz2coImIyO2YkBERERUDjUZj9VihUNjdZjabAQBmsxn169fHihUrbI5VunRp1wVKREQlChMyIiIiN6hXrx6++uorhIWFISAgwN3hEBGRm3AMGRERkRv06dMHoaGhePrpp7Fnzx5cuHABu3btwqhRo3DlyhV3h0dERA8JEzIiIiI38PHxwe7duxEdHY1nnnkGVatWxcCBA5GRkcEWMyKiRwgXhiYiIiIiInITtpARERERERG5CRMyIiIiIiIiN2FCRkRERERE5CZMyIiIiIiIiNyECRkREREREZGbMCEjIiIiIiJyEyZkREREREREbsKEjIiIiIiIyE2YkBEREREREbkJEzIiIiIiIiI3YUJGRERERETkJkzIiIiIiIiI3OT/AbcowPe/uWQuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10, 5))\n",
    "\n",
    "gdp_new.groupby(\"continent\").plot.line(x=\"time\", y=\"total\", ax=ax)\n",
    "\n",
    "for i in [0, 1]:\n",
    "    ax.vlines(\n",
    "        x=i,\n",
    "        ymin=gdp_new[\"total\"].min(),\n",
    "        ymax=gdp_new[\"total\"].max(),\n",
    "        colors=\"k\",\n",
    "        linestyle=\"dotted\",\n",
    "    )\n",
    "\n",
    "ax.set(\n",
    "    xlabel=\"Time\",\n",
    "    ylabel=\"Mean GDP Per Capita\",\n",
    "    title=\"Slopechart: Comparing GDP Per Capita between 1952 vs 1957\\n\",\n",
    "    xticks=[0, 1],\n",
    "    xticklabels=[\"1952\", \"1957\"],\n",
    ")\n",
    "\n",
    "ax.spines[[\"right\", \"top\", \"left\"]].set_visible(False)\n",
    "\n",
    "ax.legend(\n",
    "    gdp_new[\"continent\"].unique(),\n",
    "    loc=\"center\",\n",
    "    bbox_to_anchor=(0.5, 1),\n",
    "    ncol=len(gdp_new[\"continent\"].unique()),\n",
    "    fontsize=\"small\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb8c840a",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdp[\"class\"] = np.where(gdp[\"1957\"] - gdp[\"1952\"] < 0, \"red\", \"green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b6b6423",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = (\n",
    "    ggplot(gdp)\n",
    "    + geom_segment(aes(x=1, xend=2, y=\"1952\", yend=\"1957\", color=\"class\"), size=0.75)\n",
    "    + geom_vline(xintercept=1, linetype=\"dashed\", size=0.1)\n",
    "    + geom_vline(xintercept=2, linetype=\"dashed\", size=0.1)\n",
    "    + scale_color_manual(\n",
    "        labels=[\"Up\", \"Down\"], values={\"green\": \"#00ba38\", \"red\": \"#f8766d\"}\n",
    "    )\n",
    "    + labs(x=\"\", y=\"Mean GdpPerCap\")\n",
    "    + xlim(0.5, 2.5)\n",
    "    + theme(\n",
    "        panel_background=element_blank(),\n",
    "        panel_grid=element_blank(),\n",
    "        axis_ticks=element_blank(),\n",
    "        # axis_text_x=element_blank(),\n",
    "        panel_border=element_blank(),\n",
    "        legend_position=\"none\",\n",
    "    )\n",
    ")\n",
    "\n",
    "p"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  },
  "kernelspec": {
   "display_name": "dox",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}