PYTHR/unit-6-pandas/05-plotting-with-pandas/code/.ipynb_checkpoints/05-plotting-with-pandas-solutions-checkpoint.ipynb

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   "source": [
    "# Plotting with Pandas and Matplotlib\n",
    "\n",
    "-----"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Learning Objectives\n",
    "*After this lesson, you will be able to:*\n",
    "- Implement different types of plots on a given dataset.\n",
    "\n",
    "<!--\n",
    "Talking points:\n",
    "We will use Pandas and Matplotlib to create simple plots.\n",
    "We'll cover plotting line plots, scatter plots, bar plots, and histograms, and a brief introduction on how to manipulate the style of your plots with Matplotlib.\n",
    "-->\n",
    "\n",
    "---------"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Recap\n",
    "\n",
    "In the last lesson, we learned about when to use the different types of plots. Can anyone give an example of when we would use a:\n",
    " * line plot?\n",
    " * bar plot?\n",
    " * histogram?\n",
    " * scatter plot?"
   ]
  },
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    "### Pandas and Matplotlib\n",
    "\n",
    "<!--\n",
    "Talking points:\n",
    "In this lesson, we will introduce how plotting works in Pandas and Matplotlib. It is important to know that Pandas uses Matplotlib behind the scenes to make plots. So, you will notice that Pandas plotting methods often use similar parameter names as Matplotlib methods. Further, you can use Matplotlib functions in combination with Pandas methods to alter the plots after drawing them. For example, you can use Matplotlib's `xlabel` and `title` functions to label the plot's x-axis and title, respectively, after it is drawn.\n",
    "-->\n",
    "\n",
    "As we explore different types of plots, notice:\n",
    "\n",
    "1. Different types of plots are drawn very similarly -- they even tend to share parameter names.\n",
    "2. In Pandas, calling `plot()` on a `DataFrame` is different than calling it on a `Series`. Although the methods are both named `plot`, they may take different parameters."
   ]
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   "source": [
    "*Sometimes Pandas can be a little frustrating... perserverence is key!*\n",
    "\n",
    "<img src=\"https://media.giphy.com/media/EPcvhM28ER9XW/giphy.gif\" width=\"200\" align=\"left\">"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Lesson Guide\n",
    "\n",
    "- [Line Plots](#line-plots)\n",
    "- [Bar Plots](#bar-plots)\n",
    "- [Histograms](#histograms)\n",
    "- [Scatter Plots](#scatter-plots)\n",
    "- [Using Seaborn](#using-seaborn)\n",
    "- [OPTIONAL: Understanding Matplotlib (Figures, Subplots, and Axes)](#matplotlib)\n",
    "- [OPTIONAL: Additional Topics](#additional-topics)\n",
    "\n",
    "- [Summary](#summary)"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "## Plotting with Pandas: How?\n",
    "\n",
    "`<data_set>.<columns>.plot()`\n",
    "\n",
    "**Note**: These are example plots on a ficticious dataset. We'll work with real ones in just a minute!\n",
    "\n",
    "`population['states'].value_counts().plot()` creates:\n",
    "\n",
    "![](https://exceljet.net/sites/default/files/styles/original_with_watermark/public/images/charttypes/line%20chart2.png?itok=lG1hqRu4)"
   ]
  },
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   "source": [
    "## Plotting: Visualization Types\n",
    "\n",
    "Line charts are default.\n",
    "\n",
    "`# line chart`\n",
    "\n",
    "`population['states'].value_counts().plot()`\n",
    "\n",
    "For other charts:\n",
    "\n",
    "`population['states'].plot(kind='bar')`\n",
    "\n",
    "`population['states'].plot(kind='hist', bins=3);`\n",
    "\n",
    "`population['states'].plot(kind='scatter', x='states', y='population')`\n",
    "\n",
    "Let's try!"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Import packages"
   ]
  },
  {
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# set the plots to display in the Jupyter notebook\n",
    "%matplotlib inline\n",
    "\n",
    "# change plotting colors per client request\n",
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "# Increase default figure and font sizes for easier viewing.\n",
    "plt.rcParams['figure.figsize'] = (8, 6)\n",
    "plt.rcParams['font.size'] = 14"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "### Load in data sets for visualization\n",
    "\n",
    "- [Football Records](https://www.kaggle.com/martj42/international-football-results-from-1872-to-2017): International football results from 1872 to 2018\n",
    "- [Avocado Prices](https://www.kaggle.com/neuromusic/avocado-prices): Historical data on avocado prices and sales volume in multiple US markets\n",
    "- [Chocolate Bar Ratings](https://www.kaggle.com/rtatman/chocolate-bar-ratings): Expert ratings of over 1,700 chocolate bars\n",
    "\n",
    "These have been included in `../datasets` of this repo for your convenience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "foot = pd.read_csv('../data/international_football_results.csv')\n",
    "avo = pd.read_csv('../data/avocado.csv')\n",
    "choc = pd.read_csv('../data/chocolate_ratings.csv')"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "<a id=\"line-plots\"></a>\n",
    "## Line plots: Show the trend of a numerical variable over time\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's focus on the football scores for starters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>home_team</th>\n",
       "      <th>away_team</th>\n",
       "      <th>home_score</th>\n",
       "      <th>away_score</th>\n",
       "      <th>tournament</th>\n",
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       "      <th>0</th>\n",
       "      <td>1872-11-30</td>\n",
       "      <td>Scotland</td>\n",
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       "      <td>England</td>\n",
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      "text/plain": [
       "         date home_team away_team  home_score  away_score tournament     city  \\\n",
       "0  1872-11-30  Scotland   England           0           0   Friendly  Glasgow   \n",
       "1  1873-03-08   England  Scotland           4           2   Friendly   London   \n",
       "2  1874-03-07  Scotland   England           2           1   Friendly  Glasgow   \n",
       "\n",
       "    country  neutral  \n",
       "0  Scotland    False  \n",
       "1   England    False  \n",
       "2  Scotland    False  "
      ]
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   "source": [
    "foot.head(3)"
   ]
  },
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   "source": [
    "We can extract the year by converting the date to a `datetime64[ns]` object, and then using the `pd.Series.dt.year` property to return the year (as an `int`). We'll learn more about this in future lessons."
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "foot['year'] = pd.to_datetime(foot['date']).dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
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       "      <th>0</th>\n",
       "      <td>1872-11-30</td>\n",
       "      <td>1872</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1873-03-08</td>\n",
       "      <td>1873</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1874-03-07</td>\n",
       "      <td>1874</td>\n",
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       "         date  year\n",
       "0  1872-11-30  1872\n",
       "1  1873-03-08  1873\n",
       "2  1874-03-07  1874"
      ]
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   "source": [
    "foot[['date', 'year']].head(3)"
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   "source": [
    "We can then get the number of games played every year by using `pd.Series.value_counts`, and using the `sort_index()` method to ensure our year is sorted chronologically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1872    1\n",
       "1873    1\n",
       "1874    1\n",
       "1875    1\n",
       "1876    2\n",
       "Name: year, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "foot['year'].value_counts().sort_index().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using this date, we can use the `pd.Series.plot()` method to graph **count of games** against **year of game**:"
   ]
  },
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "foot['year'].value_counts().sort_index().plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "YMx-ggN0DONx"
   },
   "source": [
    "### Knowledge Check <img src=\"http://cdn.shopify.com/s/files/1/1061/1924/products/Up_Pointing_Hand_Emoji_grande.png?v=1480481048\" width=\"30px\" align=\"left\">\n",
    "\n",
    "Why does it make sense to use a line plot for this visualization? \n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "C54zib1EDONy"
   },
   "source": [
    "### Another example\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rGlS563hDONz",
    "outputId": "90f67495-1fe1-4a3f-930b-8281a43192fe"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Brazil       552\n",
       "Argentina    535\n",
       "Germany      495\n",
       "Mexico       494\n",
       "England      483\n",
       "Name: home_team, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foot['home_team'].sort_index().value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FQHr3oqpDON3"
   },
   "source": [
    "### Knowledge Check <img src=\"http://cdn.shopify.com/s/files/1/1061/1924/products/Up_Pointing_Hand_Emoji_grande.png?v=1480481048\" width=\"30px\" align=\"left\">\n",
    "\n",
    "Why would it **NOT** make sense to use a line plot for this visualization?\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JaFxqHmuDON7"
   },
   "source": [
    "<a id=\"bar-plots\"></a>\n",
    "## Bar Plots: Show a numerical comparison across different categories\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aib7n5nMDON8"
   },
   "source": [
    "Count the number of games played in each country in the football dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "0NKT6cViDON8",
    "outputId": "20117947-0dda-4db3-8bd5-1510caa7a005"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "USA         1087\n",
       "France       775\n",
       "England      659\n",
       "Malaysia     634\n",
       "Sweden       632\n",
       "Name: country, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foot['country'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's view the same information, but in a bar chart instead. Note we are using `.head()` to return the top 5. Also note that `value_counts()` automatically sorts by the value (read the docs!)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "-um6OqVnDOOA",
    "outputId": "4726c40f-b1a8-4bc4-ad4a-d24e6c63e1a0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='away_team'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "foot.head(20).groupby(['away_team', 'home_team']).size().unstack().plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "KdwuxIbXDOOE"
   },
   "source": [
    "<a id=\"histograms\"></a>\n",
    "## Histograms: Show the distribution of a numerical variable\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's change to the chocolate bar dataset."
   ]
  },
  {
   "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>Company \\n(Maker-if known)</th>\n",
       "      <th>Specific Bean Origin\\nor Bar Name</th>\n",
       "      <th>REF</th>\n",
       "      <th>Review\\nDate</th>\n",
       "      <th>Cocoa\\nPercent</th>\n",
       "      <th>Company\\nLocation</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Bean\\nType</th>\n",
       "      <th>Broad Bean\\nOrigin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Agua Grande</td>\n",
       "      <td>1876</td>\n",
       "      <td>2016</td>\n",
       "      <td>63%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.75</td>\n",
       "      <td></td>\n",
       "      <td>Sao Tome</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Kpime</td>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>2.75</td>\n",
       "      <td></td>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Atsane</td>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.00</td>\n",
       "      <td></td>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Akata</td>\n",
       "      <td>1680</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.50</td>\n",
       "      <td></td>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Quilla</td>\n",
       "      <td>1704</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.50</td>\n",
       "      <td></td>\n",
       "      <td>Peru</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Company \\n(Maker-if known) Specific Bean Origin\\nor Bar Name   REF  \\\n",
       "0                   A. Morin                       Agua Grande  1876   \n",
       "1                   A. Morin                             Kpime  1676   \n",
       "2                   A. Morin                            Atsane  1676   \n",
       "3                   A. Morin                             Akata  1680   \n",
       "4                   A. Morin                            Quilla  1704   \n",
       "\n",
       "   Review\\nDate Cocoa\\nPercent Company\\nLocation  Rating Bean\\nType  \\\n",
       "0          2016            63%            France    3.75              \n",
       "1          2015            70%            France    2.75              \n",
       "2          2015            70%            France    3.00              \n",
       "3          2015            70%            France    3.50              \n",
       "4          2015            70%            France    3.50              \n",
       "\n",
       "  Broad Bean\\nOrigin  \n",
       "0           Sao Tome  \n",
       "1               Togo  \n",
       "2               Togo  \n",
       "3               Togo  \n",
       "4               Peru  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lbRp1-zJDOOG"
   },
   "source": [
    "### How would you split the `Rating` values into 3 equally sized bins?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3GA8RVSRDOOG",
    "outputId": "6fd9da5c-9695-45e2-893e-50a97dea8db0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3.75, 2.75, 3.  , 3.5 , 4.  , 3.25, 2.5 , 5.  , 1.75, 1.5 , 2.25,\n",
       "       2.  , 1.  ])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc['Rating'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use a histogram! The `bins=n` kwarg allows us to specify the number of bins ('buckets') of values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1876\n",
       "1       1676\n",
       "2       1676\n",
       "3       1680\n",
       "4       1704\n",
       "        ... \n",
       "1790     647\n",
       "1791     749\n",
       "1792     749\n",
       "1793     781\n",
       "1794     486\n",
       "Name: REF, Length: 1795, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc.REF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[1795.,    0.,    0.,    0.,    0.,    0.,    0.,    0.,    0.,\n",
       "            0.],\n",
       "        [1944.,  157.,  150.,  176.,  178.,  187.,  191.,  215.,  197.,\n",
       "          195.]]),\n",
       " array([1.0000e+00, 1.9610e+02, 3.9120e+02, 5.8630e+02, 7.8140e+02,\n",
       "        9.7650e+02, 1.1716e+03, 1.3667e+03, 1.5618e+03, 1.7569e+03,\n",
       "        1.9520e+03]),\n",
       " <a list of 2 BarContainer objects>)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# choc.select_dtypes(include='number')\n",
    "plt.hist([choc['Rating'], choc['REF']], stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NX3B8D50DOOM",
    "outputId": "d6d35a0e-66c3-4ae3-8e0f-beca1ee6be2e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "choc['Rating'].plot(kind='hist', bins=3);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sometimes it is helpful to increase this number if you think you might have an outlier or a zero-weighted set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "SvtT0px2DOOQ",
    "outputId": "6f0840c3-e0f0-4c4f-f9e3-199921b567b5"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "choc['Rating'].plot(kind='hist', bins=20)\n",
    "plt.ylabel('Number of Ratings')\n",
    "plt.xlabel('Chocolate Rating')\n",
    "plt.title('My Title');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ok1NR7AgDOOU"
   },
   "source": [
    "### Knowledge check: \n",
    "What does the y-axis represent on a histogram? What about the x-axis? How would you explain a histogram to a non-technical person?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "St7-JnIMDOOV"
   },
   "source": [
    "### Making histograms of an entire dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9Z_Qlm-DDOOW",
    "outputId": "9167113b-c728-494c-852c-70feffa51be8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x576 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "choc.hist(figsize=(16,8));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JgMCXRAwDOOa"
   },
   "source": [
    "### Why doesn't it make plots of ALL the columns in the dataframe?\n",
    "\n",
    "Hint: what is different about the columns it plots vs. the ones it left out?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BDjFPIqXDOOa",
    "outputId": "381b4346-18b3-4437-c1bc-52bb1d80d901"
   },
   "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>Company \\n(Maker-if known)</th>\n",
       "      <th>Specific Bean Origin\\nor Bar Name</th>\n",
       "      <th>REF</th>\n",
       "      <th>Review\\nDate</th>\n",
       "      <th>Cocoa\\nPercent</th>\n",
       "      <th>Company\\nLocation</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Bean\\nType</th>\n",
       "      <th>Broad Bean\\nOrigin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Agua Grande</td>\n",
       "      <td>1876</td>\n",
       "      <td>2016</td>\n",
       "      <td>63%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.75</td>\n",
       "      <td></td>\n",
       "      <td>Sao Tome</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Kpime</td>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>2.75</td>\n",
       "      <td></td>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A. Morin</td>\n",
       "      <td>Atsane</td>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>70%</td>\n",
       "      <td>France</td>\n",
       "      <td>3.00</td>\n",
       "      <td></td>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Company \\n(Maker-if known) Specific Bean Origin\\nor Bar Name   REF  \\\n",
       "0                   A. Morin                       Agua Grande  1876   \n",
       "1                   A. Morin                             Kpime  1676   \n",
       "2                   A. Morin                            Atsane  1676   \n",
       "\n",
       "   Review\\nDate Cocoa\\nPercent Company\\nLocation  Rating Bean\\nType  \\\n",
       "0          2016            63%            France    3.75              \n",
       "1          2015            70%            France    2.75              \n",
       "2          2015            70%            France    3.00              \n",
       "\n",
       "  Broad Bean\\nOrigin  \n",
       "0           Sao Tome  \n",
       "1               Togo  \n",
       "2               Togo  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at the data types of all the columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Company \\n(Maker-if known)            object\n",
       "Specific Bean Origin\\nor Bar Name     object\n",
       "REF                                    int64\n",
       "Review\\nDate                           int64\n",
       "Cocoa\\nPercent                        object\n",
       "Company\\nLocation                     object\n",
       "Rating                               float64\n",
       "Bean\\nType                            object\n",
       "Broad Bean\\nOrigin                    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like it included `REF`, `Review Date`, and `Rating`. These have datatypes of `int64`, `int64`, and `float64` respectively. What do these all have in common, that is different from the other data types?\n",
    "<br><br>\n",
    "<details>\n",
    "    <summary>Click for the answer!</summary>\n",
    "    They're all **numeric!** The other columns are **categorical**, specifically string values.\n",
    "</details>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can filter on these types using the `select_dtypes()` DataFrame method (which can be very handy!)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>REF</th>\n",
       "      <th>Review\\nDate</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1876</td>\n",
       "      <td>2016</td>\n",
       "      <td>3.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1676</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1680</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1704</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    REF  Review\\nDate  Rating\n",
       "0  1876          2016    3.75\n",
       "1  1676          2015    2.75\n",
       "2  1676          2015    3.00\n",
       "3  1680          2015    3.50\n",
       "4  1704          2015    3.50"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "choc.select_dtypes(include='number').head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "LtmF6np5DOOe"
   },
   "source": [
    "### Challenge: create a histogram of the `Review Date` column, with 10 bins, and label both axes\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = choc['Review\\nDate'].hist()\n",
    "ax.set(xlabel='Year', ylabel='Counts');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1HkkekvDDOOj"
   },
   "source": [
    "<a id=\"scatter-plots\"></a>\n",
    "## Scatter plots: Show the relationship between two numerical variables\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scatter plots are very good at showing the **interaction between two numeric variables** (especially when they're continuous)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>Unnamed: 0</th>\n",
       "      <th>Date</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2015-12-27</td>\n",
       "      <td>1.33</td>\n",
       "      <td>64236.62</td>\n",
       "      <td>1036.74</td>\n",
       "      <td>54454.85</td>\n",
       "      <td>48.16</td>\n",
       "      <td>8696.87</td>\n",
       "      <td>8603.62</td>\n",
       "      <td>93.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2015-12-20</td>\n",
       "      <td>1.35</td>\n",
       "      <td>54876.98</td>\n",
       "      <td>674.28</td>\n",
       "      <td>44638.81</td>\n",
       "      <td>58.33</td>\n",
       "      <td>9505.56</td>\n",
       "      <td>9408.07</td>\n",
       "      <td>97.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2015-12-13</td>\n",
       "      <td>0.93</td>\n",
       "      <td>118220.22</td>\n",
       "      <td>794.70</td>\n",
       "      <td>109149.67</td>\n",
       "      <td>130.50</td>\n",
       "      <td>8145.35</td>\n",
       "      <td>8042.21</td>\n",
       "      <td>103.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0        Date  AveragePrice  Total Volume     4046       4225  \\\n",
       "0           0  2015-12-27          1.33      64236.62  1036.74   54454.85   \n",
       "1           1  2015-12-20          1.35      54876.98   674.28   44638.81   \n",
       "2           2  2015-12-13          0.93     118220.22   794.70  109149.67   \n",
       "\n",
       "     4770  Total Bags  Small Bags  Large Bags  XLarge Bags          type  \\\n",
       "0   48.16     8696.87     8603.62       93.25          0.0  conventional   \n",
       "1   58.33     9505.56     9408.07       97.49          0.0  conventional   \n",
       "2  130.50     8145.35     8042.21      103.14          0.0  conventional   \n",
       "\n",
       "   year  region  \n",
       "0  2015  Albany  \n",
       "1  2015  Albany  \n",
       "2  2015  Albany  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avo.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avo.plot(kind='scatter', x='Total Volume', y='AveragePrice', \\\n",
    "        color='dodgerblue', figsize=(10,4), s=10, alpha=0.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oh snap! What did we just make?! It's a [price elasticity curve!](https://en.wikipedia.org/wiki/Price_elasticity_of_demand)\n",
    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/3/36/Marshall_PED.png\" align=\"left\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "cI3W9z6pDOO1"
   },
   "source": [
    "We can also use a thing called a **scatter matrix** or a **pairplot**, which is a grid of scatter plots. This allows you to quickly **view the interaction of N x M features**. You are generally looking for a trend between variables (a line or curve). Using machine learning, you can fit these curves to provide predictive power."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8696.87</td>\n",
       "      <td>8603.62</td>\n",
       "      <td>93.25</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9505.56</td>\n",
       "      <td>9408.07</td>\n",
       "      <td>97.49</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8145.35</td>\n",
       "      <td>8042.21</td>\n",
       "      <td>103.14</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5811.16</td>\n",
       "      <td>5677.40</td>\n",
       "      <td>133.76</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6183.95</td>\n",
       "      <td>5986.26</td>\n",
       "      <td>197.69</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18244</th>\n",
       "      <td>13498.67</td>\n",
       "      <td>13066.82</td>\n",
       "      <td>431.85</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18245</th>\n",
       "      <td>9264.84</td>\n",
       "      <td>8940.04</td>\n",
       "      <td>324.80</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18246</th>\n",
       "      <td>9394.11</td>\n",
       "      <td>9351.80</td>\n",
       "      <td>42.31</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18247</th>\n",
       "      <td>10969.54</td>\n",
       "      <td>10919.54</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18248</th>\n",
       "      <td>12014.15</td>\n",
       "      <td>11988.14</td>\n",
       "      <td>26.01</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18249 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Total Bags  Small Bags  Large Bags  XLarge Bags\n",
       "0         8696.87     8603.62       93.25          0.0\n",
       "1         9505.56     9408.07       97.49          0.0\n",
       "2         8145.35     8042.21      103.14          0.0\n",
       "3         5811.16     5677.40      133.76          0.0\n",
       "4         6183.95     5986.26      197.69          0.0\n",
       "...           ...         ...         ...          ...\n",
       "18244    13498.67    13066.82      431.85          0.0\n",
       "18245     9264.84     8940.04      324.80          0.0\n",
       "18246     9394.11     9351.80       42.31          0.0\n",
       "18247    10969.54    10919.54       50.00          0.0\n",
       "18248    12014.15    11988.14       26.01          0.0\n",
       "\n",
       "[18249 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avo.select_dtypes(include='number').iloc[:,-5:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "0vTeuwo7DOO1",
    "outputId": "f4645002-dc3b-49f9-d751-42c43c9c58aa"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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36ZbGcTeRnfuRnY8ijx0be2VqCYg4iD9//jzbtm2b8PHt27dz4cKF0Z93795NU1PT9EZnjDFLlDY3oJfOupl2gOFhGB5Gw4MQn4SkpCI+QYIx+A4dQ557EVluTXwWO8krQp79CjzmGi2qKtwzSyqZ2UheofthaAjUG7kdRmur0EvnUFuoumDp8LA7eZ/OPu58tnS03feYJCQhR78Ah44g8SONw6J5BSc8ePf2UHjcTSQQRIpWIInJczSo+SPidBoRoaamZsLHq6ur79veqtUYY8zUqTeM/u7naGcb5BS63OaOVjcj31zv6nZv2ulSKIpWAETtcreZe+LzodcuQmgASUlHSzbBpx+7dJp1W9zjNy6jjTWwfBUSG4/mL4P33wQUeruQR56I9q9hpkC9YfTiWfTCaUjLxLfnEFK4/CH246Efvw/DQ9BYhxy5v+u8iCDLVqO+oDsJLIz8Cp+2t6KXzyGp6S7fXuTBT5rMmo2I+CAmdsktWo1ExEH8rl27eOuttygoKOCpp54iONK2OxwOc/z4cY4fP86BAwdGty8tLSUvb4L8JWOMMRPybl6Dm1fdDKs/BhFBuzrQK+ehuxNNTEJKNiPLVkZ7qGaOaHgQ/egP0NeL7DoAjbVIQiKoh5SVopW33Iad7ehgCK2vAgRam5EvfAMJh9FAwHVtjZnbrppLnTbWgYx0F430OR1t6MfvuY7LjzwBLY3u///mevCGobnOpVZNlYhbL9E3dDeXfKJNH+YkofQytLeg7S3IslWQnnn/NjUVaFUZUrzmga9h3aYnF3EQ/61vfYva2lp+8pOf8LOf/YyMDFdyqq2tjXA4zKpVq/jWt74FwODgIIFAgM997nOzM2pjjFlEvIZa9MSbkJWL7D4E1z4FVRjog5QUuHOZ2Od3X7z+AATsSueS0toEd9IfqsuRDdvQylvIirV302mGhtCq2+4YaWuF3i5IzYQbl2DtJjQpGVqbUZ8PX23VQwVpZmq0pgL95EP3w+6DSEGEf/O6Slejf6AfmuohOQVJTEaTUiEj2y04neg1q8rcTHvxmvuu0IkIHDjqjqec/Mh/j8ufuKuA67dNunhesnLRxlqIT4QJyt/qpx/D8BDa2WbH4DRFHMQnJyfz8ssv8+GHH3LhwgVaWloAKCkpYceOHezfvx/fyMESExPDd77zndkZsTHGLDbHX4P6aqipQBMSoabcBeoFy5GC5a47a1qGa/h09QLEJyC5kc/qmUUgIxtS0l1lmmUr3SLW1evdrPvp91w1kV0HkJtXoK8H3bob6muQmBgYHITmeqSjzVWraW5A8woh9ikkKzfav9nidm9O91Ry2QuWQ3W5q7iSneeuujz5LDI0jGRkTfg0ratCL5wCQDwPVq+/bxuJTxhNw4uE9vWiZdfd7RuXkPwitKEWvfgxpGa4UpQjefOyej3kL3PVZCZaZJqWCa2N7r9mWqbUCcLn83Hw4EEOHjw4W+MxxpglR8XnZtxSYpH2VrRwBSSnwpZdyJqNgJvhkqxcNCXdlYELh0bLCJro0lAIKm5CavrdRaUzTGJikcefuf+Bpnpob0EEpKsdPfQ03LqCJKe5dKueblizwS1yjY13V3PiEkZ2ausoZl3xaiQcdmksU1h4LmmZyNNfHntfJDXb731Pp5GPrq3N0N4My1ZDXJwLuDtaR49vrSgduVJQC50dY9JmJCFx8iE+8rjrcZGS+tDjW4zUG4bymxAIIMVrInrOw7dzM8YYM23a0YbExbvAfeN2JDPHpdOs24zs2D9mYZh6HnrqHTe7V1+NPPFc9AZu7rp0Bq0byUF/6vm5rZKRlQMJiRAKQV4RUluB3nazpuw6iGzc7m7HxMJTn4ehQaSxDmLjkczsuRvnEiU+P5RsmrvXyy+CXQddOs1DrpnR0IBbf+ENQ2szvn2H4eBRCA8iI3n0UrgCbW6ElDRITpnaGP1+6wI8nrJS9Op5dzsQE1Gq0ZSC+Pr6et544w3Kysro6+vD87wxj4sI/+2//bep7NIYYxYlbaxzOcvLViL5y8Y+1tGGnjkBwRjYsM0tXsvKQRKTkbUb0aIVcOkcev60m40P3nNZ+k6Oq98a98wbd0rw+WTas9taU+HyhXMKkJoKyMieNNiWuAR46gVQdVVpujvv36fnueOtrQXZujviWb4x+yi7gbY2uQXVqfO/i+d8oV0d0FALBcuQpMiDXVWF86fQxlqXh75yLXr7OtrWjKzbPOms/FTyzLWv1+Xf5+RPvk+fb8xCWFm2EgqLrSrWTLr3Mz3Cz/eIg/hbt27xn/7TfyIYDLJq1SpKS0tZv349oVCI8vJyioqKWLZs2YN3ZIwxS4BeOAWhAbSpHp57cWyptZqK0a6bEhqAfYehpwtGgis99S6c/cBdDveGkd2u8pf4fPDoEVehIt8+b+eNrbuR9CxITXtgKsFktL767iJIBEXdCcLRL4zOgI5HRO6mTqwsQfwB8PvuBnM9XS4Fi5GuvlMoGQigfT3o5XPudmgAOXh0Ss9fyvSjdyDUD9VlyFOfj/yJoQG0ptzto/wGZOeiV1xTLw2HkUefnJnxnTkBnW1w8xo8/SXE53PH2qNPQttIOs0ELICfYSvWugkbfzDitLyIg/hXXnmF1NRU/uqv/gqAP/mTP+ErX/kKmzdv5vLly/zX//pf+aM/+qOHG7gxxiw2yakQGoCU1PtrJRcsg+oyNxOfnecWmt27UNXz3OVwfwAY+1xJTpny5WszuyQQhJVrp/QcDQ2A5yHxCaiqO0ZUpz8WESj+TOCVlAyZudDe7Mr+TVUwFuLiYaAfSUmb9hiXFBl7Y/S9fpDYOMgrcrXcl69yP8fGQ6gfGckl1+Fh6OuFpOTp12NHR/6NjDYj2y2mNnNGRKBoailQU5qJ/9KXvkRKSgo9Pa7b2510ms2bN/PEE0/wyiuv8PLLL09pAMYYsxjJ3sNuhis1HW2oQasrkOJVSE6B+4L83D8b94tXWxqh9JI7AVizEdm+JwqjN7NJu9rRE2+B57lGTWU30GAMcuAIsnO/KxWZVzSSTpM16Sx8JMTnhz0HR/oMdKDe8Gg1kYieHwzC4WfcjL4FdhHR9lb01jXXbCsQRHML8U6+7RaLbt3zwO7KIoLsfWxs0H/4c9DbAxlZLkXqg7egs82lR23b+1DjlD0HobbKpdNEszOreSgRXwtRVZKSXM3P2JGKCHeCeYDCwkKqqqpmeHjGGLMwSSCAZOa4L/BzH6K3ruJ99M7dxyeaOaurcl/UCYng801cps0sXO1t7kqLenD7uluo3NfjykAWrURWrMUXF4+s2eBO+KZAuzvR5ob7Hyi7AdVlaNkNqKmc8pAlNs4dz9Oe8V0a9OIZqK+C0quwbBWi6soqeh5aXT7+c1oa0a72Mffd+/eWOLcYWURgKOwmCQBtaXrocUpCErJ2o61zWKAiDuKzs7NpbGwEIBgMkp2dzeXLl0cfLy0tHQ3yjTHGjCworK9G21td7ffaSrS7a+w2dVXo1fPoQL+7o2ilu3yekY3sPRSFUZtZV+jq/5OTj+YVQVena+g1hY6e49GuDrzjr+H9/pd4Ny6OfTB5pJyf+Fx6jZlVciflLT7B1XpPSoHcQgjGIivuT73Sipvoh2+j773pPi8etP+YWGTjdjQQ42rKP4AO9LnPmTqbbF1MIk6n2bp1K6dOneIb3/gGAI8//jivvvoqra3uYLtw4QLPP//87IzSGGMWoqvn3cxnX4/rjtjRjveP/we27MaXnYemZcDZk4BCbw+y5xCSkYW8+K+iPXIziyQQhN0HobUZTr7l1k1k57lSo6quyU8wxjXV6etFL36MxMSiaZlIb7dLs4pPuG+/2tsDFbfcLO2nsbBu693XLCx2Jwr+wN0A08ye7ftGc9qpuImsXo/sOzzx9n0jmQ3quUXv6ZM3QlJVN2vf1gxDg2h6BpI3cSdVvXgWGmpwZVDT7yuDqvXV6O3rSGExsrIk0t/SRFnEQfyXvvQl9u3bx9DQEIFAgC9/+ct4nsdHH32Ez+fjC1/4Al/5yldmc6zGGDPvqTeMVtyEyjK0ocbV587KdbNxlbfdJfCKW3jb9yAlW8DnQ4eG8AVjoj10Mwt0eNjVxR5P0C1c1sEQ9Pe7pY9lN0arkLDvcVeJqKkeb6DfdfxMSXMVjXaP03Sxv8/Vi1cPjbs/j16sNvecEZ8fWpvR6jK3XDQ5FcnJn/gJazYiQ0NuAes9lae0rspVFCpaidyzYFnLbqAn/wDdnWjxauTOlbxx6PAwEhPjxuH3j1u+UC+dg4E+tK0Flq+e+JidBdrf59ZbZOVautYURRzEp6SkkJJy9+zd5/Px4osv8uKLL87KwIwxZkG6cRk9dxLqq6Gg2OUSb92NdnagZ953XQ7TswBxATwKVbfx8pdhy8oWBq2tgo5WWL3O1WmfaLtrn6I3r6C5hcjex+4LUCQlHd3+CHzwJtrgZkK5t/+KN+wWkpaVQkzs3fURcfHjv+DV8xAfDx1tEB5E+3qQBEtzjZo775OMrbE+HomJha33L2LXS+cg1O+C62Ur75Z1vHHJzdiHB13Qv3z8qkN68yp67QKakYVs2+s6wY5zzEpmDlpbAemZcxvAh0Loe7+DwRCych1s2TVnr/0gOhiCW9dc9Z8pdNudS9ax1RhjZpJ67gvb53OLW3fsd/W6L51Dt+6B3l5Yv8Wl02Rkwx9ed3Wkz55AN22fUkMYM/e0p8udpKHQ243sfWzibWtHFpA21roUl3GutkhcrMuXBujphi07XaAWDN5tEnYkw9V+Hwy5bXInyJ3PyIKaeFe2NCbu3oqBJhrWbECSUyEu/uEXjmZkuQmBtIwxddk1K8/l2Pv8yL7HJ6wsozUVAEhbC7Lr4LhpWADseAQp2QRzfdI3GHL/AO3tYl7Nw1/7FK285W4npSIZWdEdzzgeGMSHQiGuXbuG3+9nw4YNBAIBent7+fWvf821a9cYGBhgxYoVvPDCCxQWRlac3hhjFq2SLUgwBs3MgbTMuwFXySZ8w2EUcV1Y/QE365qd7xa1ZuZAwOZV5r1AwKUjDA+52dNJyNqN6I1LSP4yd0wM9LlGLvd24M3OR9ZtcfW+121ywdjq9YBLmaCnC0o2uzKTsXF3F6iO93qPPA4lm6GlCcnIRBJtFj6aRAQmadqjngcDfRCfOGEaiew6AD2dkDj25N63bS+kZbjgfrL3OTsPKm7CypKJr+Aw0rhpkmNrtkhyCmzeBe2t7tidT+6cdIs7qZ6PJv3GaGpq4i//8i9pa3NljHJzc/n+97/Pj370I2pqaoiJicHzPCoqKjh16hQvvfQSy5dH3u7XGGMWKq2rQi9/gmTlwI79o1/CEgi4D/+eLrS7E1LS3BdpYhL4g1B+A7o6GN6wDenqhEefxOcddrnOk6RmmOjyKm+5xcfrtyCHjkJXB+RP/n0nxWtcDW9Aa8rRT05BbCwcetqlygSCSFw8rNty33O1tXm0S6oMD8OORx44RvH5kaxctwbjzn4uf4LWVSJrNyNTbEhlZocO9KEfn3B15FNSkeK1rl77Z7cLh6GvB01OxfeZ7qgSGwslmx78Yg01kJntTgbVA5l/SXuyah3gFmZrxU3ILZz4ikEENBRyJz7pWdPrKrt+q7uCkpDkrqjMQ5MG8b/4xS/o7e3lj//4j0lNTeXVV1/lRz/6Eb29vbz00kuUlJSgqly8eJG/+Zu/4dVXX+XP//zP52rsxhgTNXr7ulsIVlOBrN2MBgLoid+7+t8lW9DqMqipQm9cRks2IakZrskOoLevwe3raFuza7V94Ckkxeo0z1de5S30lz+DcAitrsD/9Bdhqu9XSyOgEBpAb1x0FWgCQXjsaXffb19FO9th/1P4VpWgfj/4/C7Yj09Ah4bQj9+Hni5kxyNIdt4DX1KHwmjZdXf71lUL4qPEqyxD33jVXYV54euuwlBHK7Q1AeoWL3+GDg+j77/p8tQHQ3ibdiL7Dk89KI1PdJVv4uLdjHIEdHjYnaQmp7pJiTmiH77t8vxTbiKPP/tw+xgaQt9/A/p7XXfiCE5+JyI+HxQWP/Tz58Kk787ly5c5duwYTz/9NABJSUm89NJLfOtb36KkxJUgEhG2bdvG0aNHeeeddybbnTHGLBpStMLVc2NE8ZEAACAASURBVE7PRHu70Td+DjevQHK6m71R3Ox7cz3kFbo0moxsdLAVMnKgvcUFaOEwDA9H+9cxkwkPun8A3R1jHtKONqipgIJlSEa2C8T7eiGvEBFxAdFAP6zeAD3dSEIieid1YigM3V3QXI82NYA3BO/9Fq+m3OVR7z7oTvo8D177e7Spzr1O5S13decBJBB0degbalyJSRMVevUTFxQPD6EXz7i0p9g4JH85mp6FbN7htmuoQT8949JktuyC3i7obAcdCfT7eu6un/jsa4QHXYrXZ67myd7HoKXBzUrfk7Kjlbfccbpm49j0LnAL8Jvq3XMOHZvZP8Znx93e6rpT5xbA0JC7885/H8ZQ2J0IANrdMb9y7GfBpEF8W1sbRUV3647euV1QcP+imsLCwjEdXI0xZjHS1ma08qYrH5mQiG/XAdfOvrUFurtheBj1B5Adj6D/9PfuC6mmAnbkwal3ICYGjn0Jujth2Up8q9ZH1KzFzC31hkcXC8qq9XDgCNrW7AIw3AJX79xJuPAx5BYg1eXoo0/C+2+iQ2Fk/RZ3Reb9N6C7E1m7Cd/Bo27nvT1oKOQCrtx8F9Bl56Id7e7Er7fLnRCGBuDAEbhxCfX5YHAQwkOjs4M6NISefg/takey85HMbHdl555gzbf3scnLXJpZJ2s3oaffcwH5jYtudnjfYaitwrdsxehVOC2/6dZNXK9F0jORjdvB53drZvKXTbjoVHt78P7xp9Deguw7jO+eevQSDI4pWQmgzQ3opx+7x4eHXE76vTpcCjWd7ajqrJV91PZWd/USRTbtRPY/DvU105r9lrh42LoHbW5A1mycsbHOV5MG8Z7nEbjnUop/5EMgMM7lFb/f75pUGGPMIuUN9Lsgrb3ZfSFn5bp846JiND7OzY5m5iCrN7iqEm+95oL1/l4XyLc2gQDV5e7LMxCAnHyrjTzP6NkPXGfLNRvdYrumOmT7PnwJiXc3un0DrpyHpjqXb7z7ABIexOvugKoytLYKzchGujvdPpsbkA3bAJDEpLGNfzKykH/5Hfcd2lSP9+HbkFvgZldLL7tqM61NLvjb/wRyZ8FdRyva0gAtTWj5TSgqdicexWPL4VkAP3e0v8/Nmufkux4R/X3I6vXoijXQ1AADA25W/uYVGOhHayuRY18E3NU9rn3qruxdvYAcehrf81+d/PW8Ybz/92N3Mhkfj57x4RUsRwqXT1ixxi3SFEAheP/ibNm2D6286WrTz+ZnU2iA0RJKoX4kLdMVA5gGDQ24cqzb9939/2QRs1IIxhgTAR0aQj94C25ddYsTO9oBcR0Z85dB0UqkoNjNniUk4t285p44NOQa8HS2Q0Ki+2KPT3A5sUNhlyttVUTmDR0aGm1NrzXlboHy7etIQiI899W7OcJZue59jUt0M4f7nkDS0l0PgJtXQQQ+PeNmYe8J4O97vZtXXcC0Yq2bOcwtwPfci64k6ZVP0MZapL8Xee5Fl3rV3ztaNUNT06GlyZUgvNOF1QL2qNIP/+CupCSlQCCItrcg2fmwaSf0noDhIbyqMsQbCV7veb9k2Ur0kcPIrWt39vbgF+ztcScFsXEu5WsoDOc/cvdt2uFODJsbID5hdHGmpGW6KzwD/VCw7L5dSn4Rkj9x99eZoP197qrD6g0u5WVtBIt0I9nvB8fd338OUoHmgwcG8a+88gq//vWvATczD/DjH/+YuM90g5tqKk1bWxt//dd/TU1NDT/96U/x+/387//9vykrK2PlypX80R/9EUDU7jPGLF366Rm0sRZKNrnygLFxrpZ7W7PLX+/thRWrIS4B9Tz0/Tehsw1NTIGV6+C937pc59g4VxlicNA9r2gFHPsyvtQ09MwHrmPnRDW/TVRIIACr1rkZ0tUb0AunoKYcFR90tLrqL+CC5qIV0NWBrN+KL82lRMjuA67qiN/vSgdu2DYawOutq9DViRYuQ1qbIW+ZW+TqeXiXzuFLz0Yys13pyl2Poi0NrjtrOAyDIfTd37qa2hu2w6p1EBpAsnMhO9fN2m/Z4zp53ryK7DloPQeiYWhk7URowF2hqa9By28i2/ei+5+AE7+HC6fRg0eQYCxk5455uqzbCrHxLujOzHnw6yUmIxt3oMEYWLbKVaABF8wD3LyKXv8UfD44/MzdQD4zO+JfSVVdwB8X/8CZeR3oR8+cgKEht6YjeYIc/lPvuKuUicnIU5+PeCwPHmef+2GSDraLif8HP/jBDyZ68MKFC8TFxeHz+fD5fPj9fjIyMoiJiRm9786/uLg4MjIyeOqppyJ7Yb+fgwcPcuPGDQ4fPkxFRQWlpaX8+3//7zl79iypqal0dHRE5b6MjMlbU3d3d4/e1l+/EtlfegK+F74+recbc6/k5OQxx6eZOh3oRz856S6Ln//IzXQmpbgv1JYmtyA1r8gtCruzMLWh1v2Li8dXsAwa6xH1kMwct7AsHHIlJLNy8W3fhyQkIqtKXAnCwPysPzzTFtKxKTkFyJoNSEYW2t3lcoQzsvCtWHs3MO7tgbpKlxqTlYeM1AOXxGT3vuYWIBu3j17S17YW1ySqqwO9eNYFG/XVbtFzSyPS1uJOEoMxSPpIU5msHCQQg2zY6oL38lK3L5+42f7SS65KTnwivm17XSnKqlswOIAEghFVsDHOjB2fmTlIMMa99wnJrmRieqabbW5vhesXobfblS3s7oS6KkjNGD2uxOdDMrIiLmkoIsjq9fj2PoZv3RYkKRlJSnW9BfwBl8bX2QaqbkLiYa76ffKRO5ntbHcpP5OpqYDKkWMwOPExqDevuKuUPh+yZsPUxzQOERntOCvrt02rTOV8kpycPOFjk87Ev/zyyzM+mDtiYmKIibmbr1RaWsqWLa5W7pYtW7h58yYiEpX71qxZM2asx48f5/jx4wD86Ec/Iivrbteuxmn+He7dlzEm+tTndzPtDdWu+Yl6Lse1cLnLe25pQnUY4vKQYNAtOssrcJUhCpa5maVHHof6KhcA9nQij30O6Wx3FUvmadMQ42gohJ7/yAU9Ox5xubXx8RCXMOaqiWRkwc79roPqSHOm0cfyCu9v8hMXD/6AK0EaP5Jb7w/g23UAL7cIPjmJdnW4E8e0DCQje0yOsKoiazaiXR3IspVw7qTbR0wsvkefRMtL8cpLkfDgfWM1c8gbRvt6kd4eZO1Gd9Xt1nWkYJnrnpqdD6grGxoacOl4507C0S88sHlYJKRo5dg71m9FEEhMHBNQ6+VP0LYmZOOOu1eXJqBNIyUwm+ofvNA1K9ddgRwamvQYlL2Hoa5yxhf1S3ZeRJWbFot5kxPf19dHXp77wyckJFBTU4PP54vKfZ915MgRjhw5MvpzS0vLjP3eM7kvY8arHGWmRhqq0cREKF7jFgSmZ7nUBYDrl1yajXqw+6CbRV+9DunuQsNhlwox0l5dAwF45zfueT4/cqcyiZnfasrdYlWAqttIyWbYumfcTe8LmCYhCYnw+LMjZQKTXfDW2oT3/hsuPWb1euTk22hCEnz6MfLEc2OfLwIbt7vliKpuMWt7C1KyCQ2H0UvnEBRNzcD35HMTL2o0s0rPn3INmhpqIK/IXdXJKUD7+5CqMnT1eti0wzUBe++3aEsADQ8iVbfdQuoZJrFxsG3s8avdnXf7B9y49MAgXjZuQ8tLkWWrHphOI0kpcPSLgE56DMpIt1kzPfMmiE9ISKCvz+Uy9ff3k5CQgM/ni8p9xpglLCXdBd0BQddsgFPvoNc+dVVKzp2ExhpISnWXinc+6i6Tp2XeX484PsEtbuvpcgvbzMKQke1mzFUhkpzkCKkqVNx0s+WFK6B4Ffqbf3CLDitu4/sXf4bW10BrM3r7Bp4I8sgTrmTeZ4gIbNszesyp50FKKnR14MvIsgA+mpJS3IlaQpLLQ8d1XtXjr7kF06kZcO5DqC6DDdvdmgfF3T9C+3rQK+eR+ER34nZnP0317gSzeO2EueYRGfPZFEG/gXs6D0ci0oZU6nlw/hTa0Yps2Y3k2OfkVE2jH+3MKikp4fLlywBcunSJkpKSqN1njFnChsKwfBUceAppaXRl4arL4fivXCWZvj63SDUtE/WG0Qkak0ggiBx+BjnyBWTd5jn+JczDkvRM5OgXkKNfnHRhoQ6FXRASAa0uR8+fxvv0NFy7gH78nssJripzi/tqK2BgADn0tGvKlJ3jqou0NLjnhwZc59+m+zt7wkge9cGjyOFnYPvDd6g0D0dDIVdlqLkB2XMI2f8k7HsMbl5BG+ugugzt6XbvdVM9+H1u0Wt3J+Qtc4F6dh6qiobDUHoF6qvdbPnIe65DYfTj993C5TupVA9pzGdTSRQ/m7o6XEfa3m63GNxMWdRm4oeGhvjhD39IZWUlL7/8Ml//+tcJBoP8xV/8BcXFxaN56dG6zxizdGhXO9rX62ptn3oXMrKRy5+gWTluUeqdmu4DYVciMiERTUp2deCHhmDf4XEvSYvf78pKmgXlQbnJWl/tAqm4eDh4bNzZ8jHbnv/IVY/p6wPE5Qy3NLnZ884OyM53nV4/+gPa1gzxiWhOvju2+vvQS2ehoQbEB0deGHfBngSCMJLKZeaWXvzYzbK3NSNrNyPb9yI3LqG1lYCgG3cgScmweiO6YavruOsPoA21SHcH1FXh5S+DC6fcRMFI8yf8gbulQ8Xn6ruHht1n0DTN5WeTep67gpCUMrZiUlIypKRBV6cry/v7f3JrivY9tmQW/E+XqHVomrK6urrR28N/8sK09uX/8a+mOxxjRhUUFIw5Ps2DaVc7+t6bboFqV4erPhMedF8uodDdluCZ2a6iyEA/pGUhm3fBlXMArpLJxh1R/k3mt8V0bOonH7ka8ri29pI3cU1tra9xbewBLVzheuwMDLgqJd0drpHT0S9CxU305HF37C1bhSxf7Wbi4+Ld4taGGpfmdeSFSU8azMOZzvHpnfkAvX3NradYtQ7f8tV44nONujpaXeOnnAJ8Ox4ZE8TquQ/dTHQwBg4evbuGJikF2X3ANS2Ku3vCpr09rmFcftGCamSkl86i5aXgDyBPPT/2d1J1J6sXz7i/BSCPPI7k2PquOyZb6zZvcuKNMSYqBgbcQtWYoJstS0lDExKgudF1VQzGQlo6viefd1+2NRWQlQPxSWhD9UjQtfqBL2MWkZUlLjhLSHLVOCYh+UWw6wBe5W1493ejXXrJzIHYOOSxZ/Bl56HhQTQ+0eVRZ+WNdLPEnUhu3u1yl1MzLICfh2T7XtewLRjjGjx1dUBZqSsp6Q25E7X2Vkj8TKnAbXtdJaPUdCQpBV25Dm2sQdZuQlLuv6oiiUkLsjGc9vW6G8NDriTvPW2GRASCQbRwuSu5mpg07a6tS4kF8caYpS0zxzXyaW9DSzaDN4SID01KhdvXXP57Uurdus331DSWA0cm2KlZzCQ9E3ny+Qdup96w67za3+e6SHpDEApDfx/ExCGrN8Ctq3hVt1xjnH/1XaSr05U27etxdeFzC5GEBHfiYOalO3XhddU6GOhHz33o3ms8d8IWE4us33pfZRcJBFy33zs/b9mFbNn1UGPQrg53tSZ/+fQWvTKyhuPGJVcyNzbepf2s3fjQC09lyy5X9jQtY8L695JXBM9+JeJFscaZMIj/n//zfz7UDr/97W8/9GCMMWbOtTUj6qF9PXDmfQgNoKvWIXmF6I5HoLsbOfqFaI/SLESN9WjlLQAkPQstWunStZJTkOBIzfiudrdtQw2+5ashY6R3SGo6bN8XpYGbhyFx8S79ac16tL/XlZfcvBOZhdKRn6Wn3nGpflVlyJHppflq6WXo68G7fhlEEX8AHRxAcp578JPHIQlJ95W5HHc7C+CnbMIg/vTp0w+sB/pZImJBvDFmYUlJd90TfT40OdWlx7Q0ourhe+xzVvbMTEgH+tDzp13XyZ3773ZnHR526TApqRAIwlAYKV6D79Ax9MYl9MYlt4PsXBfUB4MzWs7SRJcUr8EfQUlGDQ+Cp0js9Beqcqfg6CRxm6rClU/QthZk044Jqy9JfhF66xqSm4+GQq5hXbo1ppyPJgzif/zjH8/lOIwxJiokNhaefB5vz0H43S8gMxeGBpGYWPT6RQvizcQqbrluvgA1lbByLTo8jL7/JnR3ICWbkac+D+HBuwsa1250DXhi412wtGodiM9VCzFLhna0uYXMqvDI4w9suPQg8uiT0FAL+RMvsqa7Ay274V7/xiXk0afG39fGHa7xVDAGGR5yqV3JadMan5kddu3CGLPkic+Hb3jYddVMS3el3WDaX6xmkcvMcQtR/QFIH1mMN9Dnqs7gmvNIbNyYiiTi8yMr1roFr4zU7LYAfulpb3HpVN6wqzgzTZKU4qpkfXbx7L3ik0YX10rW5E2eJCYWEXHHZ0r6lDMzzNywha3GGAOu62rxGuhshwNHkcREl8tpzAQkO8+1mBcZrS0vicmwegPa0ois3xrlEZp5q7AYGutcEL98bqpbSTAIh5+BwQH7bFskphTEX716lddff52ysjJ6e3sZr8T8z372sxkbnDHGzBXx+VzJt2gPxCwoEht3/32bdthxZCYlMbHII4/P/esGAhCwAH6xiDid5sKFC7z00kvU1taybds2BgcH2blzJ9u3b0dVKSws5Nlnn53NsRpjzIzQUAitvIXX2e6a8dypY2xMhLSvB6+2Cq/yFtraHO3hmCjSgX73ORIOR3soo7SvF6285cqbmkUr4pn4n//85xQVFfFXf/VX9Pf38+6773Ls2DE2b95MXV0d3//+91m5cuVsjtUYY6ZFm+qgoRavqR6qy6CtBV251qVAPPV5a/VtIqLhMPr+m+ita9DdiaZlIgeP4nvIGt9m4VJV9IO30K52CIfx7X0MmQc1/fXDt0cWpKYiT0RWGlK7O11vgpwC14TKzHsRz8RXVlZy+PBhgsEgvpFanp7nAa4l7NGjR/nHf/zH2RmlMcY8BB0eRi+cxjvzAV5vN/rxCbTiJlw+By2NrqNiW6vrijk8HO3hmoViOIwODEBLA7Q1Q3U5evU82tww7uZ67VO8U++6hjxmcVHP1WdvboT6GvTSWbTtwVdmtKvdHRPXPp2dcQ0Puf9O4eqAnv8IrbiJnj3hyl+aeS/imfhAIEBMjKuBGxfncgA7OztHH8/KyqK+vn6Gh2eMMdNQW4lW3UYV1/UyJsZ94a5aD80NkFuA5C9HNu4YN7fZmPFIXAKyaz/a1gRtLe6+hCSIiUVVx1Ty0PZW9OYVd9vnQ/Y+FpUxm9khPj/sOQQo2tvrqhXFPLjuu167CE117upgfhGSljmz49p3GOqqoHBF5E+KjXf/DcaAWPHChSDiID4nJ4e6ujr3pECAgoICzpw5w6FDhwCXM5+WZnVEjTHzhxcOw82rbpY9Mxs5eMx1aM0tgO4uGB5yFUaMmSLfslXo//enLh/e85DkFLyKW3DhFCxfie/ws26xdEKiC+oGQ0haRrSHbWaYdrajF06hwVhkzw4kKxdJSkG7OtxJXv5yfCMTBBoOu54BCYlIWgbaWAuxca704wyTtEyY4omB7HwUmuogPdMtgDXzXsTv0o4dO3jnnXf45je/id/v55lnnuF//a//xZ//+Z8DUFNTw9e//vVZG6gxxkzF8Mfvwz/9DPp6XQOU3m5XBz4h0W2QYR0IzfRIXAJSWAyA3roKv/w/0NEO1z/FK1iBf91md4XniedhoA9JTY/yiM2Ma6iB0ACC65kqKWnoYAg9/iu0vBSS09CvfdtdpXnvDQj1uypY67ZAXhHEJcxQx9bpk2DQlb40C0bEQfyXv/xljh07NnqZ8NixYwSDQT766CN8Ph/PPPMMR44cmbWBGmNMpLS7E95+Hbo7weeHni60oQ69ch7ZtCPawzMLjHZ3oafeAQF55Ak306rqrvIMDaL5xegHb8FAyNX99gddM58REhsL8yRQMzOsYDlUl0NLI96F08j5j9CUdJeu5w1Dbxf60R9gxVoXwINbj1O8xk7qzLRFHMTHxMSQkTH2UuATTzzBE088MeODMsaYaam4ORJMBdzM+8YdSGISWl5qQbyZuvpq6B8pQ9pQC2tSoK4KvT6yKLHiNsQnQE4+SD6sXIdvzYbojdfMGUlORY68gPfmL6G9Ga0uh7WbYdkq1ziutRHt6YZb15Blq6C3G9ZsjPawzSIRcRD/3e9+l29+85vs3Llz3MfPnz/PT3/6U/7mb/5mxgZnjDFToeEweuodtLHOBVXLVyEbtiHLVqEVN5EVa6M9RLMQ5Re5E0MRuFN6LzYOOtpcRZriNUhCMmzajhw8hiRaM52lQFXRsyddlaLEZOhPRHIKwOdDNu9Elq/Ce/8N6GiDuAR8Ox6J9pDNIhNxEF9XV0df38RNA/r7+0cXvhpjTFS0N0N7CxITg+47jCxfjWTnIXHxyObxJyCMeRBJTkWOfXHsfVm5eJnZEAwiMTHw+LNuwaLfH6VRmjnX1wv1Ve62Kv4vfgP1hmFoCBmpUCP7nnDpM5nZURyoWaxmrIZQQ0MD8fHxM7U7Y4yZuvQsSEkHfwDfmo34lq1E4u5+LmkohBcKoSM9Lszio97w3X8Ds9ut0rd+G5KUCvnLkKRkC+AXOR26W3NdVVHBpVD5fMjy1YArOSn3lJiU2FikcPmYzyFjZsqkM/EnTpzggw8+GP35V7/6FSdOnLhvu56eHsrKyti2bdvMj9AYYyIkwRjk8WfGfUxrK/FO/H4kp3kDPPGcpT0sMtrdiZ48DsPDqN+HDA7C2k3Ihtn5bpLV65HV62dl32b+UM9zC5tbGmHdVmTdZvTj96GxFilagTz/tWgP0SxRkwbx3d3d1NTUjP7c1tZGb2/vmG1EhNjYWA4dOsTXvmYHsjFmdulgCD35NvT3InsORVTnXVsa0Y/fg9YmCIfQrnaktQksiF9cmhvcIsLmehgaguLVaFP9rAXxd2jpFfTGJaRgGbLrwKy+lomCwQG0/KZblBoIQskmaHLNLbWxHpngaVp+E71yDrLykL2Pub4BxsygSYP4Z599lmeffRaAf/2v/zXf/va32bt375wMzBhjxtXWDN0j7etrKiA7z13m9vlc98R76PWLaG2lW+gaDLqmT9n5SNFKyC2c+7Gb2VWwDN5/EwZD0NODVldMKYBXVZfPHAxO6WW16haoh9ZWwtY9SDBmqiM385k/4PLfe3vQ0AAyNAQbtkJ1BbKqBLj7WSNrNiDFa9x9VbfB81wDpf4+mzQwMy7iha3/43/8j9kchzHGRCYzx3Ui7O9FM7LR0++iNy4Dgjz/ouuKWX4TDQSh9LJ7TkcbUlQM2/biO/y5qA7fzB4ZqQDiXT7nZuLTM6H0ClpQPG7qlLa3op+ehqxc2LANPvyDq+++fhtSsiny11257u5MvAXwi4/PjxSvgoF+EB/6u1chJR05dAwJBPBamtAP/wApaXDjElK8Bg0NgHrQ2+NKSt5pMhcl2lQPPV2wfLV1Y11EpvxO3rhxg08++YTm5mYAsrOz2blzJ+vWrZvxwRljzGdJMAZ57GkAhn/1Clw9D+1tkJUNp96D1evRGxcB0LgEZKAPeeRxJL/InQCYxW3LLiQlHb18Fm5edbPrZ06Mu1ZC33oNrSiFUAhampCudnd/ffXUgnjLjV/UxO+HQ09DRyvezatIRyva2QqXz6GJSa7p10Af9HQh61z2AlfOQ1cHJCYhazeONsqMBu3qQE+9CyjS0wVb90RtLGZmRRzEDw8P83d/93ecPHkScM2fAAYHB/mnf/onDhw4wHe+8x18lvNljJkrVbddikw4BAlJrozbPV+Wsn0fkpYxplqEWdzE50dWrsVbVgy+AAyHwTdBABUMuiZOoRBU3obiNTA0iKy1ZjxmLIlPgPgEfD4/evkcEgqhlbcBD+nvh8IVSEoasmW3e8Kdzxyfzx1nUaXj3jQLX8RB/C9/+UtOnjzJ0aNHeeGFF8jJcTNazc3NvPbaa7z11lsUFBTwz//5P5+1wRpjzL1k7Ua0rtqlQhQUoeEQ5OQjsXEQG4vk5Ed7iGYOeV0dcPkc5BbiW70efeyYW4BYsHz8J3zun7l859ZGSMtAtuxE7GqNGYe2NLouvQXLkS270e4O5Mp5wAe7DuLzCRTec5xt3I6kZ0JiMpKYHLVxA0hKOuw7DN2dsGJNVMdiZlbEQfx7773H/v37+fa3vz3m/uzsbL797W/T3d3Ne++9Z0G8MWZWaWMd3odvu9nT/CLYsd81efrdP7ourS1NyBf/RbSHaeaYhsPoqz+ByluQnIr3L7+DL7fA3T77Ad6nHyNrN8G6LchQGAqW44tPQD//NairgphYC+DNGFpTgdZVwcoS+Ph9NDwI7/wGzStyVbF2H0T8ASS3AA2FXHpNIAibd7oUnMLiaP8KoyS3AHILgJEKX2c+gMEQsmu/C/LNghRxEN/W1sbnP//5CR/ftGkTZ8+enZFBGWPMRLxPPnQLVttaoHsjpGVA2XWXf6rqqkGYJUUvf+IqwzTVQWjAHQOd7TASXOmpd91C6NPvuW1iYpGBfli93uUqz6Ngy8wPOjyMnj/lFqd2trkrOrUV0N8P4UE0JgZfXuHdilhl19HaCgA3A798VdTG/kBNde7qE0BlGWzZFd3xmIcWcQJ7amoqZWVlEz5eXl5OamrqjAzKGGPupS2NeCd+j169gGTmgjeS2Dk0CN6QS4lIToXitS5FwiwZ2t+Hll2HUD/kFEBqBhStgNyRVKpg4G4vgZR0CMSgnqLXLuCdfBvt6Yra2M085vNB0kgajPjQ1DRITHbrbhDo7cX76B20t8dtk5ru7vf53GfRfJaRDXHx4PNDnpXaXcginol/5JFH+M1vfkNeXh7PPPMMsbFu0UYoFOJ3v/sd77zzDs8999ysDdQYs7R4ngdXz6PtrdDTjYRDaHsLeuAofHoaUAiHYctet4hMBN+xLyFRLuVm5o421aHlpW6t3vAwJCRAdi6kZyHdnZCa4WZKv/wvoaPNNxvmqQAAIABJREFUBS/lpWjlLbSzHa5dQGsr8T3/VTtuzBgiAgePQmc7mpCMfPB7NDnNTSDoMNRVQkuDy5V/9kVX9nbvISQ5bbScqXoeoFBVhjbUuio18yBlSxKS4MgXwPOs3OQCF/G799WvfpXy8nJeeeUVXn31VTIyMgCXZjM0NMSmTZv46le/OmsDNcYsHV5TA/reb+HTj13ue3IKmpPvZrhOv+eaPPX1uEo07S34nv8aiM++kJYYPX8arS5zJ3M79kHpFehohfgE9NZ1l/qwZoMrS5qd51Ikrp532/X1utSbYBAvLh7/C1+P9q9j5ptAEMnKha4OvMwcV2e9pwsaaqC6HGJi0cxct5i6tgI8RXc9Cr3daDAIH5+AUD/a14skJKL9fcgTz0b7twJw3WOtmuCCF/E3XmxsLP8/e3ceHdd9HXj++3tVhcK+7yt3gvu+aiElUZsl24niWOmk3R3HSaZPluN0/sjpmdix3ek+UdIzmXT3JOke53TSyWRROulY7liRLFq0ZGohKYkU9w0ECYIAsa+FrarenT9uESBIkASJpQDifs7BYaHq1atfkY9V9/3e/d37W7/1Wxw6dGhcnfhVq1axefNmduzYkdQ6qMaYh4N/9gTy/X+A9hbo69VAPVHHm5Zm6D8MiM68Vi7Cyy+0BjsLlHS1w5lPIZSis+wZWZoP396CBALQ24XLytETwJZrSChFqxn5PviJ0qTRETh7Atn7PC47N9lvycwRcvkCcuJj/PQMiPTB9Wt6rJRW6VWdYEgbit2QWIsjRw6C55ChQYjGoOUahMOQvhiXY8eXmV53DeLfeecdVq1aNVpO0jnHzp072blz54wMprW1ld/8zd+koqKCYDDI1772Nb773e9y5MgRioqK+KVf+iWCweCs3GeMSZLjR3SRal+3VpsJp0JvF3S0akDvnC5mXbES7zM/CXmFyR6xmWUyPKQdMi9f0C6akX6oOw2Vi7X7aiCo5fQyczT39/RR5NI5vX/tFjj8rvYVSAnDyDBUVMHggHbcNAbwjx2Ci2d0tjqcqoF8WoZWxMrJ1wA+IxP2fRZXVAbO4TfWw+lPkKxsKKuGsyegux1S05Etj+I2zkzsZBauu15L+aM/+iPOnz8/W2MBYN26dXzzm9/ka1/7Gr29vZw6dYrf/u3fprq6miNHjszKfcaY2SWRPqSxXssEOqdBWXqW1n/PyoVIBOIxnT0tKIbSKtxP/hwuv8iuAC5A0tqMnPxYK4ZER3QWtKVJZ0d9wZVX4/a+ALueQNqu43/8PnLtCjIyhLd+C+5f/ipuyQqtSrNzL97WR8F6CpibuBsTBj1dOvMei0JRGXzwtt6/ch18+au4S+c1nWb9Nm0Y1t8HjVf18cISCIUhEMQNRTSFxZhpNOemnE+dOsVv/dZvsX37dsrLy1m9WjvnrV+/noMHDxIOh2f8vl27do0b0/79+9m/fz8Ar7zyCoWFYzN/LVN8vzfvy5iFSGJR5Eff1xnRghKoP69l3eK+5i13tWvpSIDUdFztenj683i5Vtt4oZKhAc1LjsXAeRpUeQHtF7BsDRSV4DIykbqzyOlj0H4dsvNwJRVaE3twAN95EA7jlVXhVq5L9lsyc82G7dDVqVcAU1MhEILCYjj5kab3jQxDcyN0tCAdLZCXD51tGvSnpUN6Gnz+p+HA9yA9044xMyPmVBCfl5fHf/yP/5FQKMTv/d7vMTg4OFq2Mj09nf7+fiKRCGlpaTN636327dvHvn37Rn9vb2+ftvc8nfsypry8PNlDuH++r7NcgPR2ay58pE8D+YY6zXPOL9SZ+C98GW/n3uSO1ySdyytC8go1kAoENN1h4w4NoJquIMePIIuW4dIyNKDyPCipwNVu0B3EYrqOIhRCRoaxazlmQrERTbMaiEDtetzqjVo7vuWaHlPtiWm8cCqkZmhteBHIL8bzwVXUwD//peS+B/NQm1NBfCgUIhQKAbBlyxbS0tLo7OwEYGBggIyMDDIyMmb8PmPMLAqGYN02XF+3dkdMz9DKM8EUnWGtqMHtfALS0vAWLU/2aM0c4BUWE3/2JXjj7/UkMBDUhjy+6OxoKATiI4tX4Hke8sg+XHEZLpwKgMvKhs27NE1iWW2S342Zk67Ww7UrOnmQlplIpymFn/oFeON/QnYOrqAIt34bhFJwoRT8J16Ecyc1b36xfVaZmXfPIP6P//iP+S//5b9MamfOOf7iL/7igQczODg4Oit+9uxZnn/+eQ4ePMjnP/95Tpw4wfLly1m6dClvvvnmjN5njJkdftNVOPKu1vkOpeiXZkoYyqs1mM/KxT31Il710mQP1cwx3ppNSGcrcuywzshHInrFJnMJLFoKJ4/CiY/gqc/i3Wj2dBNXuUibQhkzAZeVjSxeocH7SFRn3//+v+O9+DL82M9ox+iapbjUtNHneNVLkPQMvSIU9zXFy5gZdM8gftmyZZSUlMzGWDhz5gyvvvoqoVCI2tpali9fzqpVq/j6179OYWEhL7zwAsFgcMbvM8bMPGm7jhz+IVw4DQUliIguBHMOt+UR3Iq1kJY21tbcmJs4z8PteR5/0XLkkw8gFsWlpOJ27EFOfYL090B/L3L54ljHVmMma9VGvEAIf8VaOHYIeruRSD+uqwNXtVhn5W8hkX7kgwMgPq6nS6/2GDODnMiNFWO3e/nll/nVX/1VHn300dkc05zX1NQ0ejv+C5+b0r4C3/7uVIdjzKjy8vJxx+dsk3hcF4Ll5OMSXZ3vuG3bdeSDt5GOVs1d3rIb19uts+8r1szSiM1smaljU3wfzh7XUpOrN+JS0/CPfaglKH0f99K/xCuvmvrrREegqwPyC3HB0DSM3MwlEx2fEulDBvq16sz5k7BoOW7b47jQxP/+EulD3v6eBvGVi3Cbd8/G0M1D7m5r3eZUTrwxJrkkHtd89MzsByrdKB8d1MvO6Znw5Is6q36n/WRlw4p1eCkpULMMF7AZd3NvMjKsZfzyCnDOadm+1RvHbePWbsVl5WpVkLLKO+9LZNLHubz3A+1XkF+Ee/TpKb2HqZDoCIwM4zKykjaGhcDv64F33tCytrXrcZ/9Z5CRddcykS4jC3bs0eOkZhkAEotp34vsXOsobaadHVHGGEADGnlvP3R3aL7wg8wiRfr0z8EBpLkRjn2IpGfiHnkKlzI2M+9H+pA3/id4Hm79NgvgzaT4AxHkB6/hBFzNMi0DOAEXDMLSuy9YlXMnkfMnobwKt+WRu28rMnZs3/gzCWR4CHnnn/Sqw5rNuHu8R/Ng5Po15N03tEtr1WLc0Q+Rs8ehuBy2PwY93ZCVPeEVGVdcNq7ngBz6oV6dLCjBPfLULL4LsxBY5wFjjIrHtVoHIB1tD7QLt3EHrqIGt3kXrqVRKzv0desisJt99B5cOgsNdUiXlVk19ybREa25ffaEpmL1dE5tf1frtILNtStINHrXbd2NdRoVNbhNScxzjvRpAA9IR2vyxvGwa6zXspGZ2bi8Qu36C9DRinz8PvKjN/XKzGQkPlOZ4vFqzETuOhP/6quvztY4jDFJ5oJBWLsZuXYFt2zVg+0jvwjyiwCQcCq0tWiVmYLi8Rv6vm43MgxLVk516GYhGBrSk8KiMggEcGu3Tml3bvFK5PxJXFnVHXOcx21fWgGlFVN6zSnLK9Rx93Zb86CZVLMM19EKK9fiduyBpqvIlYu4Rct1Rh50oWs8fs+riG7TTqThEq7GKmyZ6WfpNMaYUW7JStw0BdWusAT37I9P/Nj6rVp5pqRCA39j7sFlZUPtBuhsw9Wux+XmT21/S2vnXTqKcw7WbbHmVDPMFZXinn1p7I7qJbjqJXo7JYzUn8OV10wqDdCVV+PKq2dopGahsyDeGDNK4nFtHZ6TNy6HfdrlF+HSM5HGy1rJJr9w5l7LzDly+hjSfh1Xu0FziCfJrVgzbwPYWfu/ZWZWZjZu+Vpcwe2TD3LqqFbbWrXBypqaWWFBvDFm1Gh1Gd/HLyzFq6jGLV4x8bbREejtxh8cgNZmXE4ulFbizp4ABNZtvXOw0t2JXL6g+zl/Erdz78y8ITPnSKQfuXhab589fl9B/F3329+LnPwEl5mliz6dQ7o7AIfLzccfGoILJyE9E29pLTIQgZEhXG7BtLz+6DgunkFamvSE46ZAbvT/VkYWPPHCXaucmOSSSB/+BwegpQlXux6yc6G1WZuDnfxY07pWbcQtXz32nL5epO6M3j53woJ4MyssiDfGjJLrjfpl1dOlv3e2aXWGYAjpaMM/f1JLUH56RBerDiQW2qWmIUVlsGg5Eh2G7k5cfy9uz/MTv1BmlubKD0Tsy26hSU2DrFzo636gf3uJxZCjH8LQAG7jTk2zAa3j3dqEtAKBIBKPwaVzGqxXLoJzJ+HCKYiOEF+7GXLz4eJZXdD9+NN42flQWIwrrUTqziLtLbiVa+8ryJehQeT0UQ3oLp/H+/zP4DIT4+tPVLUZiOiaEAvi5yS/vQX55q/C8BAAcuYYlFRCaiq0Xcd5iWtB/b3jn5iWjgwOaOCfZ1cWzeywIN4YA4D4cQ3IO9pgcACaG3XRaUA/JvzD78C1K3DsMAwPjn9yLKrb5RdqBY1YFDl1FH/JCryq2xd0uVAK7H1B612nZ8zG2zNzhAsE4PFnYXgQl555x+1kaBAundPFnDfXem9pguYGvV1/DtZv09t5hdB4WQOp08egr0cDsa4OPeHs6dRKSbE4HDkIzkF0BFLC8Npf42/cAeFU3BOfgVOf6BiiIxPWhJeBCJw/oScj5dX6emlpyMp1SFq6nlBk5yPHDo0+323coeMtq7J64XOYvP53owE8oMdbVwcEArD1MV3oGumFWxcWew4XTkMqqvVEzZhZYJ8kxhjlEjODw0MwNACehyRmy/2OVjjxEbS33h7AOw8yMrTe9ppNOgt69EMQH44eQrJyJ5zNdMEgWDCzILlAQBuC3YUcPwLXGwEHT7041twoN18D72gUbprJd4tXQGGJ1vY+cwwBDdx7u7SqTGYWXG+CkT5t4IMDB8Ri+vvVeggGNUBPTccNDeBy8m4fVzSK/PB1pK8Hl5aur9fRomPIL4ZHn4FIP+I8LVN4Y3wFRTBBHrWZYybq7huL6hWb9uuwfBXOu31Bq/MCSHEprr1l2lLEjLkX+wY1xgCJyhdLVuosonM6K//+D5C3/1GDpsGI/tyspALKKmHjTrzCYli6SmesUsJIY70G+AH7mDH3z4VSNBD3PMQ5SHRXdRmZ8NTnNPCOx3VxdEk5LpSCy8rRnHMHXDyD9HRp8N7dAUtqNUCrP68BWUpYHysohrR0PeYbr8AfvwLrt8BTn9crS7c6fkQbmXW1I8tWaXWljhY9zjOy8NLSkac/j+vu1P8fZn6pnaB0pwABD6qWjk12TMDtfEI/N9PS9Wkietxa6pSZIfbtaowZ5RUU49dugLZmaLqqnQaDQf3iisc0/cALQDCg6Qtp6dpS/OBb+PmFuOxcvLIqJC8f19oEK9dpYGVMgojAuRNIXy9u9YaxGfZbrduKKyjCb7wCf/AtJDcf97NfxUtPx4VC+MNxePcNZCCCi0Vh2+O4xctxnocsXaWLZ1uaIOgBDpoaoKtdZ8fDqbB+q+bKnz4GIokrUBG9feQ9ZNkavIkqkPhxKCzRk4lH9uEVlSJlFZASHk0PchlZejJh5p8Pfjj+d8+DwjK92rhqvU523ESaG5GGOlz1ElxZla71IbGA+903oLMNeeQpvEUTFwgwZiosiDfGjFm0HBePIz98XXOKY1FNN3BOv8xEQOLgEs1xurs0sEe0++WHB4iHU6H5Gq6oRFMUrJmTuVlnG3L+JNLWgpw4gvf4cxM3F+vp1MWgHxyAzlbo6UAunoL125CuDuTgW7pQNR5HoiNI/QU9Pvc+B6VVcHC/XjkKp0JWCjRcBASCIUjLhMsX9BgX9BjOSCy2jkQgv2B0cfet3PptuOw8yMsfXZg73RVuTBIlKieN8n3o6YD+Hvjeq8Qb6nApKbjqZbgVa5BjH0J0BLl8EckvhNx83Jbd0N6iFbj6e+HAPyE/XY27Kb3KmOlgQbwxZkxzI3Lge3DxjFahATRAF4j7Y9uNjGgw1NOd2MTXmcz+fp217+tGCovxcnJn/S2YOS4tAxkc1BO8miXI8cNaFeamQNjv7oR339TUrJ5OzX93HlQu1g06WnHiI4GQLrZ2ni6oTgnD//xzTZHp7QZfYGRIg3QRTXkZHtTf43GIxsbWeKSmwaZdUFYFvuCtWj/h8F04FVaunem/JZMsE528jQyDDEH9BejqQDbugMFB3Io1Wn6yoxUZGsANRpCWa4j42lE4LUOfm52jxx8giUWyLts+G83UWRBvjAEStZFf/1tNL7g19/1WKWEYGtK0moEBQPTLr60ZMrNwu57ALVsDeTZDacaTgX6oO6OpLb1dSFkVxOP4NcthzUZcXw/yxj9AY70uBM0rhJql0N+H+/AA/obtWhGm5ZoGVcGQVlPyfT3xHIxo4DQ0qFeP4j5Ee/V2ebUG8H5cry7dOEENp2qKzJKVeFseSfZfkUmmSN/t9yUCcOIxCKVotaPCEgDcjr362dfbhbz/Azh7ApquIK3XobhcTxyrl0IggH/6GPL97+g+XvoXBG6uumTMA7Ag3pgFTmJRaGnWxjjRES2PJv6dnxAMaYpNoiLHqJFhSE3D7fs83o3a3cbcQtpboK0lcaLooO26LkA9/C68lop4DiL9uhYjJQxVSyAzExqvaArN4XchFILCUj3m+vs0uPK8RNUZ9KpQIKT3O9CcGdGTzJRUCKdBSZnOvkdHoLsTqpbgLG/ZyD0e7+uB5WtgoB/paButOuQKiogPDurai1ii2lFBsZ6wtl3H72jDxWN6Zai7A777V/ibd+Fte2xyw4rFNKUnO3fC6jhmYbIg3pgFSro7oakBaWlCuto1IOpsv3sAD5onf6tQChSXWwBv7i0nVwN4SQTWw8OaDjM0CL09iWA80QzJeXrCmJaus52RvrFAvb1Vc9hTUiDuafB143lVSzSPuadbXycU0gXZ4TCkpsPSWrxnfgx5bz9ypQ4WLcOtXKf1v60M5MKWmnp7Gd2bDUbg7HGkrBJpa8Ftewxv/VYAXGExkpYBVy/pcXu1To/B9hZNMdzzvB7vAxE9ppuvai+CUMo9hyXv/0CD/5IKrVVvDBbEG7NgyeF3tDFO3TlNTejp1Dzh+xUIwAs/hXvm83ih0PQP1Dxc+vt1hvyG4QENmuKxRBWkOIRTwAtpYB+5oieJMBbAgwb0i5drOlcopJ2GPU9v5+bp46EgDI9AMEXvT8+EXXvxnnwRlxJGcvJxK1J1se2545pik5pudb4XMv8ekxi+r1d0Olt1fUdbM/FLZ6G4FNeeaJQXCOms+chwohSqr4H8ge9pcJ+Tq43uapZPLoD3/bFc/e7OaXiT5mFhQbwxC5R0d2kDp94eLa13ry+viaSlw0/9IoHdT07/AM3DKXrLlZybTxzFh4ISKC7VoHwwotvHYnp8Om/8laK6c7Buq6Y45ORpsB8dgYZLmlIT9xP3DYMf0/SZU8fwM7Pxtj2O2/ooXK1HSitxNxpLWQOyhW2y3Vbjcd32yiVovQ6pqcjiFVBcpouqb6zNiCcaiw0PQWsTeEFAcKs24DZsG92dtLeA52nfgVs4z4ONO5DGy7jFy6fnfZqHgn1aGbPAiAjS2gwtjTq7E4/dOw90IgXF8I3/TCAtbdrHaB5iR965++OdbTrLGQxp0O7c+Jn7G+k2ItpZ+PhhrQLieVCxCBC4dhkyMrVyyPCwlvmLRvV5sRENppobcIuWa0Mn34emKxBOmzCIMgtIMDT+eLsbP64//YkeGs5pPnzc16tIN05QJXEC6vsQcOAFkKOH8AuK8WrXI431+O/9QPPlH3sOr2bpbfXoXdViXNXiaX6zZr6zIN6YBcQfGkJe/RM4fyJRI1vGyu/djydeIPDT/9vMDNI83IaH7/74jZn26MjEj998xcj3NX1heBjy8mHZKkhPh937tN53PK6pYlcGNe1raBBSU3HOg5uCdefdVL7SLGyBB+iuKr4er8cOQ2a2piaCLqr2E5+tkuhRkJ6hs/QD/cg7b0DteqSzHc6dgK4OvYr0/E/C5l3T9pbMw8uCeGMWkuNH4MwxnYH34/efQhMIwi/+BoHNO2dmfObhlz4DnUw9T2u+v/Wapsz85JdhyQpoboRgjQZGnkBKSAP92nVWp9tMbLLpNLeKx/Tn5kWxwVCiMFJiwXVqOpSUJ/LbZexEsmKRbuccjAwjrU2421/BmNtYEG/MAiLNDToLFI/d/+z78jUEfuN3ZmZgZuHIyJj+faZl6Azq4CDEo3DwLT3OY3GoXqJ15kMhGIjgyqpw1cumfwzG3CoWBRLdrlNTYd0WXGk5UrkYUsJ4NXocegVF+I8/ixx+FzKzoHZDcsdt5g0L4o1ZIKSrQ2cmo9H7D+B/+f8gsNFm3800aGma3v2FwrBuk5ZHbW2GcLpWoRmMaHWa3U/icvJwzY1QUYPLzZ/e1zfmrgRcADKyYM/zMDKEO38SsnLxo1G9OlpQBEXlsHQlLiWs9eSNmQQL4o1ZIOTMp5o/fKdc44mEUvH+8NXbFlkZ88CC9y6pd1/y8nEFJUgoFUoqNF2npBzXWwmFpbhFy/X4tQWrJlnicc13/6v/iuQXQmkFHH4Hrl/TqjXhMFQvg5EhZNFy3L16dRiTYEG8MQuEdHXA6aOTf8JTnyPwUz8/cwMyC9PmHXDowPTsKy0dNuzQBjhrNsG5kxCL4aqXWCUPM4eIBvLXLkNXm6Z2NV2FgX59OBaF7i4IBiDSh1Qsspx4MykWxD+guro63n77ba6mVdPrBXl5uJXtsf5JP/9wMJNXw8Xwa79222O//uu/TnV19XQO1yxAIoIMDSJNDZpe8PF7k3/y//UXBLJzZm5wZsHyNu5gWuYZnYNtj+MefxZXWKLVZyoXQyyKy5iBxbPGTIVzWq0mFoWO1rH7RHTBa0GBNnK6eAb5X68in30Zl5ae1CGbuc+C+Ac0PDxMWVkZWz5+m78O3/9l2k2xCLXxKwT+z/8+et93v/td6uvrqaqqms6hmgVIoiP4f/9ncOKoNnKabBrN2u0Evvq1GR+fWbh8/0GaEiSEUhLNogRyC2F4EPm7P9VmTXmFuMeetgDeJF9qmi627u3SGXgvACkpmhcfCGjQvmGbruNITYM9z+M8D/kf/03LoJ4/jjTtwi2tHd2lnPkUaW/B1a7HFZUm8c2ZucSC+Ae0evVqVq9eTfy1/5e/4fYgPga8Ecrnk2Amg86jxB/huWgXtXEtPxVCCEmcQHY2ACMjI5w8eZKnnnrK8o/NlPlnT8CP3tKOgZP1jT8kUGknkGaGnfj4wZ8bDmuZU8/TRk+nj0FKqv6ekqKl+yzAMUnldLF1pn636yLrfigsg4oq7T4cCOJKK3D//JdwKWEAZCCClJTrSWpqmjYrS5CBfuTCKb195hiu6LlZf1dmbrIgfob8TbiIDhfiZ4ZbyZUYZwLp/LdwKb82dI1y//YZ0aNHjzIyMsL27duTMFrz0GluvK8A3vuv/4DzAjM4IGMS/uT/fvDn9vdpCkIwpN1YAQqLISdPF7Xa4lWTdKKfvW3NGsAvW4WrrEG6O6G3G5ebj2Tm4Pbq7PsNLj0D7+WfR05+ohWUSirGdhlOg6wc6OvR1DFjEiyInwHtLsixQCa/OdhAnmjb5UdjvZwPpPFBMIufGOm47TkffPABa9asISfH8pDNNGiom9x2qVkE/vNfzuxYjLnZyMDUnp+aBsUVsGI1FBThFq/ELVo+LiAyZtZ4HrrII7HSIxRKXDEKQFY2LhzG2/sZJB5H3v5HGIzg5eRNeLy6/CLc48/efn8gAI89C8ODli5mxrEgfgZc88KIc/xe2vjUhBiOZfHB27Zvbm7m8uXL/OIv/uJsDdE87A4fvPc2/+LXCDz25MyPxZjpUlwOu5+CHY8TsBlJk2xZufD4M+ALXDqrAX1RCazfAUMDuK4O2LkXSATijz8Lvd1aF/4+uWAQghbAm/EsiE/4sz/7My5dusTixYv58pe/PKV9+YAT4dcGrxFg/CKuELcv6vrggw/Izc2ltrb2tseMeSBy92YhgW9/d5YGYswUZeTA3udwz76El5aW7NEYM6avG978B03t+omfxW3Yihe+8zHqwqm2ZsNMKwvigUuXLjE8PMy//bf/lm9/+9tcvHiRZcsevC13pT+COEefC7DMH7rrttFolI8++ojHHnsMzy4Hm1lgAbyZ88Jp8Mv/O97ytToDacxcFYtqacgPD+DS02HtlmSPyCwg9ukInD9/nnXr1gGwbt06Lly4MC6I379/P/v37wfglVdeobCwkKGhIVpaWujwUhCg2wW55qWQLnGKJMrmWB9/Ey7isyOdVPrDDDiPi14aBRJlfXwsJ7Suro7BwUGef/55CgsLZ/V9m4XFgnczL/w//4NAOJzsURhzd8FQouTpCKRn6FqNu8zCGzMTLIgHBgYGKC3VS1zp6ek0NjaOe3zfvn3s27dv9Pf29nYuXLjAH/7hH0JaJQBvpuTzJvlsjfbxz0ba+KnhNvaH8vjHlHx6XJB0iVPlD7MsOj4n/q233hpNo2lvb5/Jt2kWgPLy8gnvtwDezGnWXMzMBwUlsGYDvPjP8DKzYGgIGR6E1mbIyYdyK9FrZpcTkSl03ng4vPHGG2RnZ7N7924OHTpER0cHn/nMZ+64fVNT0+jt+C98bkqvbcGVmU7l5eXjjk9j5go7Ns1cZsenmavuNDkHNhMPwIoVK9i/fz+7d+/mxIkT7N27d9Ze204CjDHGGGPM/bKZ+IQ//dM/pb6+npqaGr7yla8kezjGGGOMMcbckQXxD8AuuZm5yi4Jm7nKjk0zl9nxaeaqu6XTWE1DY+YhEUHariMDkWQPxRhj5g2JRZHWZiQ6kuyhPFRkeEj/Xv14soeyoFjhFrpuAAAgAElEQVROvDHz0eljSN0ZLXH2xAu4VCttZowx9yKH3oWOFsjKxT1x5wIWZvIkHkfefRMGI7jyatj6aLKHtGDYTLwx85D09+qN6AiM3L2hmDHGmIRI4rMz0odlE0+TeAwGtf+N9PcleTALi83EGzMPuTWbIBSCnHxcdl6yh2OMMfOC27QLGuqgvAbnXLKH81BwKWHYvBNammBJbbKHs6BYEG/MPOQys2Hz7mQPwxhj5hVXVApFpckexkPHVS6GysXJHsaCY+k0xhhjjDHGzDM2E2/MQ8yaiRljjDEPJ5uJN8YYY4wxZp6xIN4YY4wxxph5xoJ4Y4wxxhhj5hnLiTdmmkndWfwzn+IKSnBbH8GFQskekjHG3EZ8H67UaZfNtuvgHG7TTi0ZaJJC4nE4dggZHsRt2I7LyEr2kKbdjeOOYBBXZRVtpsKCeGOmkcTj+J98AJcvIMEgLi0NNu5I9rCMMeZ2l84ip48hHa0QTtXStVfrYanV+k6almvItct6u+4srN+W1OHMiPrzyKlP9HYwiCurSu545jFLpzFmGrlAAPIK9Jf0TLBmIsaYOSvx+ZSWAZ4HgSDkFyV3SAtdTh6EUgAHBSXJHs0ssO/IqbCZeGOmmffkC8jyNRCLQs3SZA/HGGMmtmQlLhTCBVOgoEjTacKpyR7VguYysmDf5yAWw6WlJ3s4M2PxClwwlJiFr0z2aOY1C+KNmWbOC+AseDfGzHHO86BmWbKHYW7hQimJ2fiHkx539h05HSydxhhjjDHGmHnGgnhjjDHGGGPmGQvijTHGGGOMmWcsiDfGGGOMMWaesSDeGGOMMcaYecaq0xgzDaTtOnL8CC4nDzbvwnmBZA/JGGOmlfg+HPsQ6erArd2CKylP9pDMHCEDEeSjg1qmdOujD295zDnGZuKNmQZSdxYifUhTA3R3JXs4xhgz/fp7kMbL+ll38UyyR2PmksbL0N0BXe1wo+OsmXEWxBszDbRttIOsHP0xxpiHTXoWZOcBDldelezRmLmkuAyCIa1vX1SW7NEsGJZOY8wkyEA/BEK4cHjCx13NUqioBi+gjSyMMSbJZHgY4lFceua07M8Fg7DnOe0mGgpNyz7Nw8Hl5iNPfhaGBzWt1MwKC+KNuQe51oB8/B4Eg/DYs7is7Am3c0H7UjPGzA0S6UPefROiUdi8E1e5eFr265wDC+DNLWRkGH70JgxGkNoNuBVrkj2kBcGmDI25l842QCAWhd7b891leBjpaEX8+OyPzRhjJtLbDdERQKCjfVZfWnxfPxOHh2f1dc3skGgUaW9BYrGxOwciMBjRxztbkzSyhcdm4o25l6Urob8XF06F0spxD0k8jvzoDRiI4CoWwZbdyRmjMcbcrKQcV7UEGRqEZbWz+9rHDyMNlyA1HZ58UdNwzEND3ntLTxKLynC7ntA7c/JwS2qRnk7cyvXJHeACYv+zjJmANF5GTh3FFZXApl14Nz6obhWLwcCAPqevGzeLYzTGGPHjyJGD0NOF27B9tOyj8wKwaWdSPpOkt0dvDA1AbERTEc1DQXwf+nv1l77u0fudc7B286wfb3L6KHL1Mm5pLW7Zqll+9eSzdBpjJiCXzsLwoJZTG+i/43YuHMZt3A5lVbj122dvgMYYA1rStuUaDA0g9eeSPRoA3Pqtic/EbbhUqxf+MHGeh9u0W/99N+5M6ljE97XU6fAgUrcwS57a6bExE3AVi5DuLigogns0rXDVS3HVS2dpZMYYc5PsHC372NejKX1zgMstwG17LNnDMDPEVVTjKqqTPQytBFdRg1y7MmeO/dlmQbwxtxARXRBWWYNbvWm0+6o0NSAXTuPKqmzlvTFmTnDBEG7v84gfv2unaDl/UtMgajfg0jMe+PVEBE5+rF1b12zGFRQ98L7M3CbxOHx6CBmIaKrWHXqgiO/D2eMwMgyrNt6xFPNMcFse0bSxBdol3dJpjLlVa7N+4TVehvMnR++W08egpxM5+ykSjSZvfMYYc4u7BvAdrcjZ45oeePb41F6otxupPw/dHci5E1Pbl5nb2pr1mOlsg7ulqzRfRS6eRhrqoO70rA3vhoUawIMF8cbcLj0DbnwoZGpNePF9GIjoB1pGli3UMsbMH6npEEh8ZmVmTW1f6ZmQkTVWZvDTw1Ze92GVnQfhVMBBYcmdt8vIBJcIJzMn7qMCehVHTh/F//AA0tt9x+3M5FkkYswtXFYOPPEZGB7C5ScuFbe3IOJDcTnk5OtKfGOMmQdcRibs/QwMDeAKiqe2r1AI9jwPxw5B0xXkykVcYal2rDYPFZeeAU9+Vrv+3mWBssst0OMrOoLLL7zzDrvadSEqIIGgrZuYBhbEGzMBl5GlM+43ZGbhUsLg3JS/BI0xZra5jEydMZ2OfQWDUFqONDVAIKCLa81DyYVCk+rQe6dO5uOkZ+rM/vAQLq9gGkZn5lUQH41GOXToEJFIhC1btlBYeJczPmPuQjrbIB7HFZVOanuXnglPvggjw3dc3GOMMTNNRKClCdLTcdl5SRuHq1wMuQUQDFoZyYeMdLZDLIorLpvW/brUNNj7AgwP4rJzp3XfC9WcDeL/5E/+hHPnzvEf/sN/ACAej/P1r3+d+vp6AP7qr/6K3/7t36a62i7hmfsjrc3Ihwf0l027cFWLJ/U8F05N5AcaY0ySnD+pC0o9D/Y8n9RJBXeX/GczP0lHK/LeDwCBDdtxNcumdf8uHIZZrF7zsJuzC1tPnjzJ5s2bR3//4IMPqK+v5ytf+Qr/7t/9O7Kzs/m7v/u7JI7QzFtDgxPfNsaYue7GZ5bva0k/Y6bT0CAgentwIKlDMfc2Z2fiOzs7KSkZWw195MgRampqeOaZZwB4+umnef3115M1PDNPie8jmdmwbLW2h168ItlDMsaYyatdryX1MjIhMwfp7UpqWo15yJRX4yL9EBtByqthoF/TSc2cNGeD+EAgwPCwzjKICCdPnuTJJ58cfTwjI4O+vr5J76+zs5Pf/d3fpbGxkT//8z8nEBirK9rQ0MC3v/1tAH7+53+empqaaXoXZs45+iFcuwzpmUj1UlxXO0wyL94YY5LNhVNh3RZkeAj54fdgeEgbOCUa0EljPUSjULNMO1oacx+cc7BiDdLeAu+8oXPyO/dOev1YMsjQIDRcgsLisYpyC8Sc/R9eXV3Nj370I/r7+zlw4AD9/f1s2rRp9PG2tjaysyefj5eZmcnXv/51li9ffttjr776Kl/96lf51//6X/Pqq69Oy/hN8khzI3L0Q6S7Q3+Px/FHhpGR4dH7qDuDnP4E+fCHyEB/EkdrjJnvZKAfOXYIuXJxZl/H95FYTG9H+pFIn9be7mrX+643Ip98gJz4CC6dndGxmJkn8fhtNfglFkOGZyGNqqcLxNefns6Zf70pkE8+0CaMHxxA5nGKmcSiyMlPtDGb70/qOXN2Jv4LX/gCr7zyCl/5ylcAWLlyJatXrx59/JNPPmHZsskvuEhJSSElJWXCx/r7+0cr3QwM3J4Dtn//fvbv3w/AK6+8YlVx5jCJxYi8/b/Aj+NFhwhvf5yBH7xGrO4cwZqlpKzfit/VQTw3T/NJvQCpAQ+/vZlgzVK8NKuyYIy5P3LiY2i5Bg11kF80I4tNZWgQOfh9zVne8ig01kNXB6Rn4FatT2x1c/+KqfWykFhUZzezc3F3a/RjZoR0tCIf/lAbCz76NC4jCxkcQN59U7+7Nu/GTUNtfmlthkgfVC/F3ZShQPUSXHcnIFC9dMqvM6Nu7tsyn3u41J1DEiffLiMLJlF0Y84G8evWreN3f/d3OX78OOnp6ezevXv0sf7+flavXs327dun5bVEZMLbN+zbt499+/aN/t7e3j4tr2umn/g+Evd1QU5mDpEzJ/BbW6C3m5HW6wx1duDWb0OiI9BwCcnKZuAH34NYFM6dwntk371fZA4rLy9P9hCMWXBceoamHQRDEJp4smjKujtgIKK3m69CS5OmOASCuOw8/UwrLMFteRRiI1C1ZGqvd/JjpOGSduJ88gUNKszsabkG8Zj+tLdql9yOVmSgX4PttqYpN9iSni49UUBwkT5Yu2X0MRdKgS277/jcucRt3gVX66GgWMc9X6VnJG44mOSE4pwN4gEqKyuprKy87f7MzEx+9md/dtpe5+bum9aJc35zngePPaMzVEUlmi/66SGduRgeQmqW40h8QC2thVh07MRtkpevjDFmnDWbcUVlkJWttbBnQmEJFJdBJAKLV+By8pCGOtyi5cj1a8hHP4JQCu7RZ7Sx01T5ic9FEf0xs6tqKbQ264lhaSXS1wvHj0BrM1JZg1uycuqvIT6jlWjm8b+xC6fCslXJHsaUuarFGrwHg9oFdxLmdBA/WzIzM+no6MA5R3q6pVPMdy41DcoSJ3/BEK68WjvFAVw4hd/ahFu8ArdqAy4Ygl1PQvt1qJxcvXhjjLmZ8zworZjZ1wiGcDufGLsjrwC3tBZAc+B9XyctutpHO7NKLKozrf29uM277695z7otmhaUnWv14JPAZWXj9n5m9He53qgNmMoq9ftrGioSudwC2PY4RHph0e3rBecC6epAjrwLKWHczidm7iR5jrjf1LU5G8S//PLL99wmJSWF/Px81q1bx+c+9zmKi4vvuG0sFuN3fud3uHLlCv/+3/97vvCFL3D27FleeuklvvjFL/IHf/AHAKM5+Obh4VasRc58iissRS5fAPGR+vO4VRv08fxCyLd1DsaYeWrRcg3ew2lQctPJRGc7dLbp7YY6ncmfJBdKgeWr772hmR1lldDUoKmf09iAyZXdnu0wpzRe1nUgQ4PQdn1SeeILiZOJksDngL/927/l448/pqGhgQ0bNlBeXo6I0NzczKeffkp1dTVr166lubmZo0ePkpqayre+9a1Z6eDa1NQ0469h7p80NyLt13FLakcvJ8v5U0jDJaS7ExcdRnLzcbEYbslK3JpN99jj/FNeXj7u+Iz/wuemtL/At7871SEZA9x+bJqJyY30lcEBqD+veb4PEGj5F04hR34E3V1QWoG3+ynoakc6WnGrNuIKFlYpvnuZqePTb25EPngb8ovwdj+JS0l+t1Kpv4A01ut3ZUU14se198B07Lu7Ezl9FJeTD6s3TjlFWTrbkEPvQkoK7pGncKkLL1vibmvd5uxMfHFxMd3d3fz+7/8+ZWXjZw+ampr45je/SVVVFV/60pe4du0aX/va1/ibv/kbfuM3fiNJIzbJIJE+/HfeAC8A50/q5eTla3A/9jP4AxHk2Idw8TT0diMFeqXGvfQvtfWzMcYkgQwPIx8dhOgIbusjOrsaCIHnkIP7dTFjKAUGIxrIP/25uwYvNwJ/53nIxdM6oXHxNLS3QEoq3qLlujDy8Du6/dlPcfN8Ef98ICKw/7tw/SpcuYgUl+nVkILiaVl/J6eOIs1XcSvXaT71ZJ7jxzX9CkFOfgw9nXrMlFXhbXvs/l7f92/rRSDnTkB7C9LeoqmsebfndkvjZeRqPa5mqW5zFy6/CPf8T9zXuBaSORvEv/baazz77LO3BfCgZyXPPvss3/nOd9i7dy8VFRU8/fTTvPXWW0kYqUkmee8HcOoTiPsQHYbUNKSvB2lt0rP386chHtW1OyKabxYKJXvYxpiF7HojdLQAIB+/pzW5nadpEsODuk10RMvlBQI6SXEHMjiAvPcWDA8j67fC6WMaPA4PQyCoC+UKiiAtDTKyINKHK7hz6qmZPs45JDsHWhr13/DsCeTiadzilbBuy713cBcyPIzUndHb509OOoh3XgDJL4TONlxhMdJ4WR9ovorEYrjg5MJCuVqvvRGyc3WGPKjfqy6/CGm5BqlpY2vRbn3up4chHkO6O+4ZxJu7m7NBfGtr6x3rugOEw2Ha2tpGfy8uLmZkZGQ2hmbmklCKfvmFArB6IwwN4HY+CU1XceIjJeUQDEBBMezYgysstS6GxpjkKiiClDDE4xBO1fvEh4wMyM3X+zftwvX3QE7B3VMwOlrHSk92tGrd+IEI7HwCqhZBOHVsYeqe52Bo0BaqziL3zI/Dms1IegZ8dBAA6euZYhV/ICVFKxa1t+DKqu5vTLuf1CpHmVm4+vPIhdO4iupJB/AAcu3yWCOovt7RGXe3fDWUVkJq6p3LPebm67Gak39f4za3m7NBfGlpKQcOHGDfvn2kpqaOe2xwcJC333573Cx9e3s7OTnT32DDzG1u++M6u5Sdi1e7bvR+yczS8lwlFbB2E17lojmRi2iMMS4zG57+Mc19j8fhzFEIpmjpyKU3lcrLnUSQU1wGeYUwPIRbtALWbIZIP+Tk3Z6y0dsDw4P46Zl4NpkxK1xaOi5R/lDWbtGFxivWTn2/zmlltVh0wmBZRO6YsuO8AGQlTuSWrJxUuUrp79VeBaWVWilp0Qqkt1sD8Zzc8fvPuvtJotv5BPR1Q1buXbcz9zZng/iXX36Z3//93+erX/0qe/bsobS0FIDm5mbeffddenp6+PVf/3UAfN/n4MGDrFw5DXVTzZwlQ4P6RZUzVlrLZWTito/P45OGS9DahHR1wNU6LR/5k1/WmS9jjJkiGR6Gwf5J13KeyGh3zGAQNu588P2khHGPPTM2tmgUrtRBwENWbRx9HenuQA6+hQz04Uai+JU1uEf2aY1tMyvckpUwHfXdb+zPuduai8lAv6aZxmOwc+8DH6Ny+YLOli9fDWmZyI/e0pTVsirctsdwpRW40h9/sHEHAjCF/zuzSXq69GrWHC1tOWeD+O3bt/Nv/s2/4S//8i957bXXxj1WXV3Nv/pX/4pNm7S6iIjwjW98g4yMjIl2ZR4CMjiA//rfQvNVXO1GXHkl0tWBW70Jd9PCGRke1jw98eHCKQiHdfYgaqlWxpipk5Fh5Ieva+768jWjpWon3PZ6o6YqlFWNzsaOe9z34cRHSKQft27rPWcwJ6X+HHLlAgAuKxdqlur9IyOAQG8P4nm4/l4N0iwn+eHS2qwLogGaG5GREV1smp6hqVR5BbjVd6/MJgMR5PgR/WVwALftMV18Ddo4cYGQurPIqU/0RGnP87j0uRdjztkgHmDjxo1s3LiRrq6u0fz3oqIi8vLGNzkIBAIUFVm5rIeN+L7WNvY8JC1DW40PDiBnjiHd7biUMHL2OG7XTQ1QgrqQyw1GkJXrtJX00lpcvh0fxpgHIyL6WeQckpM3uvhUejrvmtssp45CpA/paoeapbenPbRfR65c1NsXTsHmXVMfbMaNEwE32vQJ0EZP67ZqimFnoiHUfTaWMfNASQVkXdCCDhXVyCcfaHW240e01nxHK1QuunuzqFCK9hwYHsRl5ejVmm2ParWjxStmbOjS2wXXm6C8am6s2+jp1D+jIxDp0xOhOWZOB/E35OXl3Ra4m4eT9HZr5Yayaq0w8+EBbSW+60ncstXIpfNQtQSXkqIfMDfVOpZY4jJy7XpcahquoGjaat8aYxYO6e6E1iaoWKQ9J65cxP/4PZ2VfGQfrna9Xglctf6u+3EFxUikT3PbgxNUxcrMgVBY0xSmqWKMq6iGjGfBC+Cyx3KOpaMV4jHcpp22PmiekK4ODZyrFt29xGjbdejq0BPFtHTcE2OdXiko0e/VgpJEtaIM/bkLFwrpIui+ntHj0pVW6oLVGSIiyAcHtEz01XrcUy8++L4iffr3UVoxWjXngaxcB7EYLjNrzp7wzvkgvrOzk/r6eiKRCBP1pdqzZ08SRmVminx4QDuzNdSBF9QOdc7Bpl14z/0Efl8PNFzSbRYvHz/DfuZTpP484GDPcxbAG2Pum/i+NueJjkBTA27vZ/S758oliEeRU8fwXvzi5KqLbNiuC1XTMyZcZOjSM+CpFyEaHWtQFx2BM59q0F+7/oGqad2aBy2DA/qefB+6OjQ9wsxpEo0i7ydy21ubbqvrL7EonDmOxEa05jpAVztux/iYyK3bot+VqenaQCw1TYP0e3CpaVomclYl/o94D167R6JR5N3vj8vff+DRZGRp8Yw5bM4G8bFYjD/6oz/i/fffnzB4v8GC+IeM88b+zMuHkkr9z5illYdcfx/++ZMQi+KFw2BpMsaY6XYj4L7xeVS5GErKtNdE5sS1ryfejRurAkJihj8lPC631qWExy+6rzuriwoBl52jr33j+SPDurg/ayqV2KbeZMhMnvT36tXkCRYQSywKPd1aSejW8o73+meqv4DUn9N9DEQgOxfucMI3mpoyHWsuZohzDnY/BS3X4D5LZo7jx8fy94cGp2dwc9icDeJfffVV3n//fb74xS9SW1vLt771LX75l3+Z3Nxc/vEf/5Genh5+5Vd+JdnDNNPM7XoC/903oaVJA/e8Auhqh08P4+c9hzRfheMfQSyKnxImsPamhhmrNuLSMyEze1wFG2OMmSzneRpMtF0fDSa8UAh5+vP6uVSzDEgsoj91VFMZ8gvwltSOS++7ldSf106ZgaBeKbwp51caL2sgtmSFlszVkUB6JjI8BKc+QZzT1x8Z1s+65asn/57S0rUcYVcHVC+5778T82CkoQ45dkivqux5Djf6b5t4/IMD+v1WWILb/ZTeJwLXtVmSe+QpTaepXHT7zhNXblwwBXZsg/4eiI4gLU24kvJ7j63+vM7ML1+NC6UgbdeR+vO48mrcRK83g6SlSQtQLFo+4QLw++HCqbD1Ua1KN4P5+3PFnA3i33//fR5//HFeeukl+vr6AMjPz2ft2rWsW7eOb37zm7z11lv83M/9XJJHaqaDiEB7C35TA3zyvjaPuH4NFi3D5ebrQrKzJ6HuzNgCk7pz+HVnoLAMl5WtMxlLa5P9Vowx85zLztWZzQTpaIP0TNy6rWMbXTiJHP6hpv5l5SLrmuCFL96xNjc9XfpnPKZ13BNBvHS0IZ+8r687Moxbu1kDtGAQl52nJwqNl5HBAU27yc5BOtvuOFEr1xq0Osmi5eNmd11BMZKeqbXpzayQpquI7+NiUc0vvyWIp7db/+zpRvy4zq43N0JnK+Bwjz+DWzbxyZorr4ZHnwHPw+Xm43//H2BoEGlrgc/85LjjUDpa9aQg8frSdl1PKAHnx2HtFj3ZGIxoQF1WNVYCdYbJQD9y+F1tHNXbPS2pXq6sUhfxLgBzNojv7u5mxQo9iwokDqYbHVmdc+zYsYPvfOc7FsQ/LE4dxb94Cq5ehlhc73MOissQEbyyKv09nIrk5YM4rRTxT38PWTm4NZv07NsYY6aRf+6EzphmZOI9++NjVT3SMyEWAxcAHIRCdw7gAVas1WAuPUM/19qua7dWz9PnI5D4rhu31udG6kx6hi4ujMXuuKBWOtqQj7UrqBsegjVjpQTl+jXkyI/09R592q5WzjA58bFeYenrgU07oPj22XG3aafms9csgwtnkHPHkdZmyMjEZWQhvT0wNARFpRMG1S6/cOyX9ExNH7ll/YVcPIOcPgpeAPY+r1eAQimMHnM3Urmyc/XkLzP7jmk5M8J5+t0uTMuJg/T16BWrsqrRdSYPszkbxGdlZRGJaK3TtLQ0UlJSaGlpGX08Ho8zNDSUrOGZaSIiIL7mDbZdh/5e/TCpWQqFpbjONr0Uue1RCKfhwmHYvBupOwuXzulzsnORjlbL9DTGTAvxfSCRWvPpYWhrhg4P6e0eDeLdkpW4z/000nBJm84lAmvpbMPvbIOiUgI5+bpQ9UYH1cREw2j9aefh9jyrZXIHIlC16LaxuOolkJ2LC6XcOyjxPJ2xH+jXKl43P9bZprOdcR+6O8GC+BkhIjoj3t6iVdQKinB3WKDsyqt1Rp1EZTaAgmJNhykq1WINw4O4ihrY8sjEr9VQBzhk6SooLsdbtGz8Rv29+qcf1/SZzGy9uv3o08hAP1TU6Fi2PqopLdkTdPqdSQP9sKQW0tLGrf94ECKCvP+2Xrm/egn3xAvTNMi5a84G8YsWLeLChcTiHudYvXo13/ve91i8eDG+7/PGG2+wePHU/sFNcsnwEHLwLf1gWb0RUlJ1kc9go35pXjqH5BfqGfXIiK6ur1ysFWt6OpFQCtSuh9x83NJaXeDT2Qa5BVZCzRjzQKSvB3lvv6ad7HpS6253d+BSUm+bTfWql4zLMZfeLvx/+js4fQzCacRf/ClcZysM9OMWr4R1iTU8A4lmPOLD4CCupBz/ykU4egiWrBzXwA7QoGsysrJxOCQQ1Bngmy1eAb1dWnKv4v4bPMnQAPT2aP72bM7UzjPy0UHtaZKRBXmFifx0h5z5VH8vrZj4ictW4cKp2oG3rBIZGkTOHE/kyDfp9yRoUF5QrP8GVy4ix48g167od192LvK5n9aZ/Rtq1+FEdKY+USZR4nE9iezqgGhUq9cEAtNW5nSypLNNu8siuFUbJ1U1ZxJ7TfyxMNLG5mwQv2/fPg4cOMDIyAgpKSl86Utf4pvf/Cbf+MY3AMjMzORLX/pSkkdppqSrXfPbAdfThdQs1VmF4SH9YBmI6OXqni6karF+AV5rwD/zKfT34XLzcGs3aytrwH/vB9DRouk1C+AM3BgzA1qbx7pStjThdjyOK6vS4PWWyQEZ6NcumDfSX6IxnYiIxSAYg/pzkAhMpLtjbGZ8xVqc7+vsY3EZUn8Bee3/g1gUuVKH9+P/XIOQ40eQSB9u3Za7N+e5MZ6LZ5HWRFGAWwJtl5aO2/nEHZ55j/1GR5B33tDKONVLYeOOB9rPgtDSpH8ODeI99VkA/EPvaNUV58FTn52w86fzvLHuuiRKPG7ehXz/Oxrstl/HFZZorf9Fy2H9trEqSr09erwMDUJ76+jiawA62pG+HlzOTTPskT79/gXk2mXc4uXT/tdwLxKLIi3NiB/TctDT0FXdOQe7ntCTngc4UZ2P5mwQv3XrVrZuHVtEVFlZyX/6T/+JU6dO4XkeK1euJPM+Sn2ZOaiwRH8GInrS3HZdm1AsK9Jc0WsNEApCJIK0t+hMxqmjmjOfnYPbuAOqbqq0kDghINKvi4lstsgYc7/KqqDxsuPeU0MAACAASURBVM6SV9boFcAVa27bTCL9yA9f14WqiWoxrqAI9+QLen9qmjapG+hD2lpwK9eOPteFw7Bh20376tOgWwT8OM45/cxrqNMNLpyeMJ3iNhdPadnd1mYoLJ3q38SY6IhOriTGaqmLd+ZWb0Su1OEWjQXGLhjS+WHPu698c1e5SE8oxYfmq0hGpnYq7++D/l6kvVWvDlUuhrPHE2ldG8btQ059rOk93Z1Qs0xn3DOzcRU1SEcbLknFIOTDH0JnG07ArVgLU6xKc4PLzoNJnPA+LOZsED+R9PR0tm3bdu8NzbzggqGxslpHP9TAfcUa/eIrKsW/Wq8r5iN9eobtBZChQf29olpnhG7e3+ZdcOUiVNRYAG+MeSAuPQO357l7bzgY0QAexqWueLXrNc3v5n3eocLIqOVrcIMRzZ2/sUA/K1s/E4eHJp3m4EorkYZ6XTx7/gRSXjWua+uDcumZsGG7zvLeR2nLhcgtWTl6dXjUhm24wmLIydcZ9vvZ34btyPHDuKoluNUbNW1m+Vrk5Md6sgZ4T76o338TPb+wRBfY5heOLhx1ngdbHknuyVhfIlc/JYyrvXvnY3Nn8yaI7+3tpa6ujqGhIWpqaigvv3cdVDOPrFynl5czMpH0TOTgW8ipY7hQENn1FK5mCYwMa/mteFSr0dzC3ZjZN8aYmVZQjFu5Dvr7bgva75cLh0dL60n9eeLv7dcAq3oZVC3CZWYjsRjy8XvQ34vbuHPCmvRu66NaVrLhklYgmca1Qa5m2fg0DXMfHP61Bnj/bdzyNbjNuyY90eTtegLZslsbRjkHN2b40zN1dj8U1p872bRLZ7onSOG5E7l4RmvGVy/RY3wGuM27kIY6XJWtbZyKORfEf+c73+G9994jGAyyZ88ennvuOV5//XX++q//erTEJMAjjzzCr/zKr+DZjOu8JyPDyPHDWjM3PRM+PYwc+iE0XkHyC3Fnj2nlh/RMvL3PQ3QEN8sLcIwx5mbOObiPAEd8H459iPT24NZvGy0PKJF+aG2CknJceiZy4ZSmTrQ1w+AAXkYmIiBHfoRcrcPlFWqu/R0aS7n126G8BjKz7nvW18yQzla4cBJampELp5FTR/Gee+m2pkzS3wvnTo4Wa7hhwkINa7foItnMHE3PugPn3GhPgsmSC6f+f/buPDiu+zrw/fd30dga+74vBAnu+yJSFLVZ1BLbUmw5M44mFb9x2fGUnz2xU656Na6a2PVcqXn+Y5yZSTnxq9gZO3F58uQk0sTlOLRErdROiZS4ryABYt/XBhrdfc/744BYSFAESQDdAM+nikWw+/btX5OXt8/93fM7RxtHnTup6zcWoFqNKymfU1Mq8/ESKoh/6aWX+Pu//3uKi4vJzMzkpz/9KUNDQ/zjP/4jO3bsYOPGjcRiMY4cOcKbb75JdXU1n/nMZ+I9bHOHpPEicuRtvTVY2aD5bKMT7ZLDY1A71XVtPm4NG2PMouvr1rQGQD54A8nMwVXVImeOa5m9hmzcI5/GlVdrw53MbJznICUVOXUUGeiFvl4kIxtXduNFe87zoLhskT6UmZOcAg2kL5zWpl+RceRwEe7Tn5+xmZw8qgtgWy5DUcnHLmbWf+eFCYJdeQ3SeB5XXrW45SbNLUuoIP7gwYOsW7eO73znO3iex3PPPccvf/lLHnjgAb72ta9Nbvfkk0/yZ3/2Z7z++usWxC9B1y06HerXXNDwqNayrajBBQJIJAIVNXjb9sRvsMYYM4tbXjyflaMpDaGQLigcDSE9HUggRVNnJvLr3cYdmlff06XdOItKoadTG0Gt2QgPPHFXNLFZTlxqKt7T/wf+QJ/OtI+HkazrZ8ddVjZ+e7OWM02N310Ut2UXbNiq5UhNQkuoIL69vZ3Pf/7zkykye/fu5dlnn2XHjh3Xbbtz505+/vOfL/YQzR0QP6adD3u6YNMO3IqJGfbSCiivhpJyqFqBW7sJd8/9uP5eLW32wVtQXadfZsYYE2fS3oK8/waSnoHb9+jHpjNc5VJS4eFPQzQCH76rM67ZeXhb7tH0mawcpKsdV1SqwVNJORKJIJ1tSP0GTT3IyMKlB29trG1XoPWK1gLPnz0Fxyw85xxu627EeZCWDvlF+G+9DKvW4U10JvcH+rUefN1aXGrabb2PjAzD6IiuEbuT8VoAvyQkVBAfCoVmlI3MyNCFGLOVkszIyCAajS7a2Mw8CI3ojBIgzZcng3jX0YakpsJIBPr74H//Ar+gGLdhK5w7icSi0N2Be/yz8Ry9Mcao1ia9azgyCH1dUFo5p5e5pCSdUd+1T+vJZ+XoXUcHvP5bzZvfsH0yH1refkm7q+YV4u5/7Lr9STSKvPc6DA3gtu3GXZNeMbkY1tcure6RT9/xRze3R059iLS34jbvhNxC5N1XkZbLcPYY8sTvafWYrja9W9PVdnvvMb3s6drNuqDVLGu2KtQsnowsbR+dmo6rW6Nd4yIRJDSss1ShEW120nYFutug4ZwudAWw28fGmERRs0p7WhSU6K9b5Lwk7crqech4WNcA+b4+GRqe2nB4ovfFsJbjk1hMy+xe1d8D3e0QHsU/+q5W75rO8yBtYubezqFxI6Mh/AunYXwUaWvGZefojPvYqDZsCg1rt9aaVZCahlt5mzXTx0JTZU+vHjtmWUuomXiA8+fPT6bTjI1pc4lTp04xODh43XZmaXHOIWs3w4mj+O8d0ooM42NaSUEEUlO1yUogGXp7YPUm3J6HtDW03QY2xiQIV1CEe/R357St+DE4fQyJjOvs/dgobtNOSM9A3nhBq3Jt2I5buxk5cwJpadJ64tV1uB33QfMlqFqhVbxeP6CTHZt34WrrIScf0oLI5XP6++FRrf9dUaPj9Dy4/3EN9q2i14KRoQE4d0K/pzwPOX9K/w1qViLvvIoM9E1ccHXhioo1naaoVI+F5JTJ0p1uyz1aF354EP+tl7Wz6+ad2tF0DlxBMazdohd9Vnv9rpBwQfyBAwc4cODAjMf+6Z/+KU6jMfNNTh5FPnpHF/eIQHaOzsxn5SKhEAwP6O3EletxNSt1ht7KUBljlqrmRuTiae3KOjyks69nj8P+p5D+Hm16c/k8bt9jcOYYjI8h509qEF9SPnn+k54uDeAB6WzD1dZrag6iTaEGByA3H65JM3Wpdg5daHL8A70j0tKIeEk4P4Z/9gRcvgBnj03UcRdd/5WTCz2dmvNeVaudfQPXhGIXTkF3O4I28KK0Qt/no/eQtiu4NZum1pRdw83SXdgsXwkVxH/3u9+N9xDMAnOZWchAP0QiaEkGTxfgrN8Krx/QBa7JKdqZrqou3sM1xpg7k5EFzoOUNPBGYCyE5OThertxkQjS24VLS9e8+MISXf9TVnX9fvIKcFV1yGD/VAdYERgfh9wCSM/AbdgO1jxn0bmsbKS7XbuPllZAUwOuuBR6u5HCEi3mkJ4B/T1Ibj6urBqXW6BrKybumsyQXzTRsCtVJ7qY6KfSeEF/bjh7wyDe3F0SKohfv97aOS93UlEDefm6wDUzG373D3DrtujirvIqaLwIJRU4q3NsjFkGXEERPPQ7uFgU8ZLgjRcn7kLmIkODGqilpGnH6ns/oTnyHa1Ie4sGhFf343mwbQ/Tq3a7pCTY/SCuvRlqVn5sXXGzgDbu0BnzrGxcWhDZsF3TQrvatHBDUpLOroNOWHW1QlIA8ouQI29BYYmmWE1w1St1rUVy8lSjp+QUXUDd3mJdTs2khArizfLl9/Ugp49BTwdkZOsirkhEg3nxkfYWKCiacSIzxpjlwGVNzKY2XoT69UhFLbx2QPPhh/qRtZvwrnZXbWpATn+oP9/7iRuW1pXQsOY+F5Za+d04c85pjvtVSQFNfxoe1kmrsVGoXa13XECbGwLiPJz4mlNftwaXkTW1z2sWIjvncPc8cOv9CeaBXP2uzi+cvXvs7e7Xj2kJ6b4e3OadeiFkbokF8WbByVgI+fkPtVZxaipk5mouZ3oQ19WGvP2yllHLycc9+ES8h2uMMfPOP3EEOfCPmlpTXg3jYWhv1lnYaXnsMjqCiGhgeLVizTUkPIa8dgAi45pWYZMfCUGiUe0DcOoocvSdyapClFfjcvJwj30WLpxGJrZ3BUXQ3TG5QHkuFjuAB5B3XoG+bi2J+vCn5m/Hg/3QdkXfo+GcBfG3wYJ4syAkFoOGs5CcDNm5EBnX0ldDYW0JXrkLFx5DNu3CnTqKjI5o/uCu+3VFvjHGJDjxY1oKNykJaus/vkV9f4+m0UhMSwHmF+nCxtIqXJ3mN8tHh5FL53B+TKvM3GhB6vi4nlMBCY3gAAmHkYFerQcvPqxar+k2ZlFIeKJ60GgIiYT1Amx8XNNmfB9EEBGoW63HSSAA1SuR7g4IJC/av5W0N2vFtxV6Z2BOJhZUE5p2gXmj/YvAxTP6fX+zYzAzRxdjD/TjKmdZG2BuyoJ4szAunkbOHNP/8JW1sGmXtpGOxSCQorNHqzfg3nxJqzZ0d0BpJXLsPdyeh+M9emOMublL55FTRwG0VGBl7XWbSFuzBu1b7oGRIQ249zyM194Cex/RNMKJEoLS1YrzHHgBXEX11D5CI9BwBvKLcOXVuKxs2LxLg7HVGxDfRw79VgO0oQGoqNF91ts6s0Uz1A+jGuy6vEIkvxjar0DVKryiEiit0ODXJcHVZl6drfDOa/rzPQ/MWAOxECQ0jLx3CBBtEHbPAzd/TX8PFBZBNIa72YUqQMvlqf8TNzkGXSCAe+AJxI/NuYymmcmCeLMgZKBPcwJFdKYoIxOe/H3kwHO6Qr/5sq7OF1+bQMWikJE5r/l2xhizoKaXBkya+lm6O6C3C8nKhcOvA+DqN+A9/vTU9jkzF6FKOAwpacjQIN6G7TPa3suxw9pXo+Ec7M/HBTNxtfVQW6/PRyLaPMhL0jQdADuXLq78Iq0eNDSgXVnPn9bKRL0dsGWXXnhNIyLIxTNIXw/k5uGGB4GFDeLxPP3lx64vazkLiUaQN1/SWfWC4hvfGZpu+nE3x2PQeUm6oPviGY0DqlfO6XXGgnizAGSwH2m9oqk0o6N6ZZ6RBfUb9Laz5+mt5YoanB/DjYeRyhW4sREonaW0mjHGJKLqlbhACiQlTc6iytio5hD7PpKeybXzltLTqbOhaWm4vY9ovXCAU0ehv0fTD66pzuVSUjWPOilpxsXC5PPJyVq5pr1ZUxKzsi2/eJFdVz1o8t8sMPNi76qWRqRDGx669AyoXXVH7y/H30caL+Dq1uDWb5t9jGlB2LcfBvph2p2e+eSKy+HeT0AsemvH4OljSONEE8/MbJw1eJyThAniu7u7b+t1hYWF8zwSc8ec01tu2bmIL1ofV0QX7gQCUFCC27wLLytby23BdV90xhiT6Jxz1wdDznH1jOayc3Abtuos+cSsOc2NEAlDJIx0tunMeXKK/gKd5AgEkLGQbltYAlvu0bK7OXlTQf+1Y6mshcpaO5cmik3bdeFqdg4ufZZFq87TwL+kHFe/Ycadl9shly9opbfLF24YxAN6Bzy34OP3FRqGK5egqAy39xFNd62qnfNYrq2WJJEINF3U47ewZPYXpUwc/87T8pxmThImiP/a1752W6979tln53kk5k65rBy492EYHtQczTdfgswseP8NDegBtu6O7yCNMWYBuNQ0zXXv64aqFdenCFbValWaiS6rcnGifvjOfbjcvZCZhcvMxn/jRejt0kWPj31Wg3SzZDgvadY1EpPPV1QD9+k6sXmo++5WrNaZ+HloAiXvv6l3yy+cxj3+NC7v44P+mzp+GGm+rAH6I5/GBTOv32bNJlx2rjYty869s/e7iyRMEP/Vr3413kMwt0H8GPL2q9DXhdt8D65au6y6olIoKsVLTUO62nXj8XFID0JyalzKZBljzHwQ30fee027q27YgVtRP+N5l18I+bPfJXb5RbjHP6v7mV5uMBDQVITJN5GZv5uEJUfeRloacas34NZsmvPr3GzdWm+T27gdt3H7/Ozs6vez503cWbpDcoOfp3GeN3v3WvOxEiaIf+ihh+I9BHMbpKsdOX8SghlwpWEyiL/KlVfDzn3gx5DcQlxrk94+tCDeGLNUjYags03rtX/wBl5pxewpEzdTt0Zn6pNTZgbwgNu5D5ovax35OSxCNPEh0SjSfEkv7I6+jZdXmDAdx29WDvJG3M590Nqkx958lL7cvBOXk6u9YDJmmYU3t83ODOaOyMmjmrc5OoxUzn5L0JVrzqgDWL1h8QZnjDELIT2IlFTAq/8K0XH8vl68f/8ftczkLXCeB9dMfEw+lx60EpFLgAsEoKYe+eBNcA5551V46Alcdt5NX7uQ5KPDSOMFrUu/ccctvdalpUPdmnkbi0tOgVV2LC+EhAniX3vttdt63YMPPjjPIzEw0cSkrQWysj8+Py0ag9QUSC/GjYYWb4DGGDML6e4A31/Q2VDneXg79+EfO6y5w6MjmgNfPIcSfGZJkpFh/bcuKb9uEarbsgvPgVyeqK7ixz8FSq5cBARpvHjLQbxZOhImiP+rv/qr23qdBfELQ44fQU4dwaUG4Xc+d+NbxRXVcPpDLQm1cv6u3I0x5lZJRyvy7qv68/ptuMwsrbCxAN0wXVIS7pFPI6/obLxcOK21wq2yxrIj0Qhy6LdaSaikArf7Qa3r39el9dOTU2D9Vu02npmNy82P95BxdWtveaGrNF9Gzh7HlVTMX369WVAJE8T/8Ic/jPcQzDRy+Rw0X0acBwO9k0H8tTl2rqkBVtQDDmrurM6tMcbckfAoABKLwbuv6Z3EilrYsfeOdy0TC0ynn/+8urXaF6OpQcvwdXVAmdVnX3Z8HyIRRMCFxwCQtw5qd9y8Qtz9j+ECycjKdbeVg74Q3PqtuIkSznMl507AyBDScAbq19+wnKlJHAkTxBcVWWH/RCCxmDYqabsCKWmQX4hL1hJp0taMfPAmkpmNu28/LjkZV1aJNF2EssqEOXkZY+5SlSugsQHOHoexEJKRCaHhO66dLoN9yNuvAA72fkLL6F5VUqkLUFPSIC/+M7BmASSnIGnp0HgBVtTrBV1oRJ8b1d/l9EfI+VNQWYPbfucXjfHgyqq0UEVBiXX8XSISJog3CWJoQHNKi8tw4xHcrn3asAK91YYf09rvv/oFfjBLGzds3oWzWXhjTJw5z0M8D1dcigz2Q1EJbtOuO99xeytMzMDS0QrTgnhXVglPfE7L8V25hH/8Aygqxe26f7IKl1w+r10yV2+4vSo2Jr7Gx3GjI9pJt6tDJ6x27YOWJiSvAP+F55FzJ6cu6LbsvmkKl4RG4PxJyM1PmO9Pt24LrFqnvQlsUm5JSOggfmBggJdffpmGhgZCoRC+78943jnHd77znTiNbnmSpotaWiotiHv8s5OVZQCoWoG0XIazxxHfh4wspLwa13YFSiu0I6sxxsSRq12F39sFkXFcf99U8H0nyqu0g6XnoKxq8mGJRHQRbWoqMtiH/6u/h74eDeI37oCMTGSgDzl2WMcWCWvJXbOkuNRUqKpD2psnewK44nJdyHz2ODI2CmNjcO44bL8XPE/vWrc1I2s341XUIKlpuDPHkOFB3IZtyKkP9Y53I5BXEPdqNlfdaoUlE18JG8Q3Nzfz3e9+l7GxMcrLy2lqaqKyspKRkRH6+vooKSmhoOAOu4iZ6125pA0ovKQZAbyIwJljcPoj6OnSepEOrQ+fkgJJtpjLGBN/rqIGz/OQw4cgFoWWRrimDfwt7zMzG/fIp2c8JkODyBsvQCyK7NwH772uefH9PTA2it/SSNLqDZCcAkkBHcvVjtVmyXHb9syellVWBZcvQCAAtZuQ0DCcPIKcPaETYh++i1+/AQqKIDSsr0kK4NKD2vcoKWCpK+a2JWwQ/4tf/IJAIMCf//mfk56ezh/90R/xxS9+kY0bN/LGG2/w05/+lG9+85vxHuayIk0XITUNGRvFu7ZGbCyqMwfDQ/pllJkN+x7F27ADcnJxyRbEG2MSREEx5BYgPV0QDsPwIC4ze37fo09n+wH46LB2pvZjkJauedEDfQBaseSBJ2BkSNMxzLLisnM1tSYa0Vn20RBy8Ywuer3annR0BAaT9diIRiAnTxt9FZZoNRu7i21uU8IG8WfOnOFTn/oUJSUlDA/r1evVdJp9+/Zx5swZfv7zn/Pd7343nsNcNqS9BfnwXQC8NZtmtI6W7g7kxBGdMSgohpxc2LkP74HHrZyaMSbhuJRU2LcfDjwHHc3I6DDuoU/O75uUVcHpj3StUGklrqgUycyGwmJcShpuWqMml5UNWfN8EWESgn/8A+S1f4X8IsgvhPQMHAI77kMiYejpwqWla6nHimoYG5sqQVlqlYzMnUnYID4ajZKXpzliKSmaoxUKTTUTqq2t5fXXX4/L2JYTicW0fNb0RTjXLMiRcydgsA+KS3B1D+GqVuDyCxd1nMYYMxcSiUCSBzhdbArgLUCd+OQUJCVVg/doBNZtxcvKxk3LmTfLh4joOotpqS8SGtZyjONh6OnQ78btm2B4EKpX4gVmCbFs1t3Mo4QN4gsLC+nq6gI0iM/NzeXcuXPs2bMHgCtXrpCWNvcapj/72c9oaGhgxYoVfPGLX5x8/C//8i9paWkhJSWF/fv3s2/f3bPoyO9oQf73/8IFkuBTn4d7HtQ6y1Uz24C74nKkuwOXnY/bsNVm340xCcl/62Xk6Du4imrcE0/j7nsUuts/tna7RKO42YKtOXDF5cjQAC6/CLdq3WQ1GrP8yOFD0N6MZOVCSgquvAaq63A5+UhVHa6wRCsSpaVPpk1JLAaeZ5VezIJJ2CB+w4YNHD58mN///d8H4P777+df/uVfJqvUHDp0iIcffnhO+2poaCAcDvO9732PH//4x1y4cIFVq6ZKOv3xH/8xpaV3tvBpqfGbGpBnfwy9XUhWDpw5piW0WpuQXffjNk+VZXOr1kFlDSSnLkjnQ2OMuRPS2qTdJt97DbratEzu9vvwqld8bBqLfPiurgWqqsNt26Plc7s7YMUaXEbmTd/XbdgGdWsgNdUC+GVITn2ItDTCynVw5hgSHoPzpzWl9PIFXHUd7oHHcOHwdaVDpfkycvQdyMyCfY9a1RezIBI2iP/MZz7Dxo0bGR8fJyUlhc9//vOEQiHefvttPM/j/vvv5wtf+MKc9nXu3Dk2bdIc702bNnH+/PnJIN45xw9/+EMyMzP50pe+NGvTqYMHD3Lw4EEAvv/971NYuLRTSfzQCMNH3mR8PIwfjZKUFCBYXsnob/4JiY6TdOQtsvc8gBe0SgrGmMQm4THkg7eQWHSiAY+D1DQQ/+avbWlEwmHk5BFc1Qo4/Ia+bqAPd9/+Ob2/1X1fniQaRS6c0j8cf1+Pr5FhXczc142MhqC9GZeRNZXjPv31rU16LA0NwEAfFJYs8ie4ZjyjIRgNWSrsMpOwQXxhYeGMYDk5OZmvfOUrfOUrX7nlfYVCocmZ9mAwSHNz8+RzX/jCF8jMzOTMmTP83d/9Hd/61reue/3+/fvZv3/qhN7d3X3LY0gU4vvIeBhJSoFgJmTlEP3EkwweeQdaLgMQLSylp78fFxqN72DNLSsvL4/3EIxZVCI+JCfjxEd23ocbHoTMHNy0SjASjWqFkMzsmakNxWVw8FcwPo4ceA6CGZpaYyX/7nouEEBKKqCjBSpq9C50QbHWmwmP6THzzqtIIIB37ydwxWXawMnzJheyymAfZOVCXnwDZwmNIK/+RivjrN2CW70hruMx8ydhg/j5FAwGJxfFjo6OEgxOzZxkZuot07Vr1/KLX/wiLuNbLBIawT/0AnS1Q91qGK2FQAAXGkEi41pLOS0dt3nXjMU7xhiTiOSjw9B4HgqKtfpHURk0X9Lz2sQMufgx5NALMNSPq6mHLdNSBQtLkaJS6OvWRYubH8KlpVnVEAOAt/tBJBrBBZK1A/DIMFJQjDv2HtLWDOdOACAr14Hva96852n6TFEpbv/vxvkTTBgNaQAPMNQf37GYeZXQQXw0GuXIkSO0t7czMjKiq8Oncc7xzDPP3HQ/q1ev5uDBg+zdu5fjx4/z0EMPTT4XCoUIBoO0traSkbG800f886fg+AcwPACdbdp4IikJySvE7dgHF05CaRVkZeP/+tnrWocbY0wikdYmzVNuboTte+GVXyPNjTpj6iVp47pIBOntgr4eDciG+iESwe28D6pW4LbdC1cuwqoNuJVrb2sRopw/hZw9hiurxu3YuwCf1MSLCyQjkXHE8+DiaXj+7xCcVnFLCuiai+RkvRAUH2I+DPRCTh5y+byWZ47zd6krKII1mzS1Z+0WAOTSOa2qs3KtFatYwhI2iD937hw/+MEP6O//+KvGuQTxdXV1JCcn853vfIeamhoKCwt57rnnePrpp/mLv/gLRkZGcM7x5S9/eb6Gn3Bib70ML/4z9HZqiatght5edh50tOI9/ElYr/+5/Vf/VZuWdLTAWEjTbowxJoGICJKZBW8ehNRU5IV0GOiBng5tqjMx6eNS0zTgGgtBj48I2pyuqQG3YZsG3XcYeEvjeZ2JbbkMm3faIsZlQmIxCI8hrx+Azjaks02/N0cnvheDmVC3WtdTeB4M9mtAPNHtXBovTn2XjoZgDoulF8qM3i/tzcjx9/Vx34d1W+I1LHOHEjaI/+u//mt83+eb3/wm9fX1M1Jgbsf0spIATz/9NAD/6T/9pzvab6ITP4b89nl47YDeTktNh/Iq2LIbPnxHv+hKZuZRuxX1OntQXGZtwo0xCUdGQ8gbL+qdxfHwRADVBzn5gINtu6GiZnJ7r2oF4nlILIZLSQOuP+/dCVe7Gjl7HFdebQH8MiEXTuOfPALJKdptt70FhgZ1AiwvqN+Pufl42/biJia63O4HZ+zD1dYjJ3UmnkRaAD39GLXjdUlL2CC+ra2NZ555hnvvvTfeQ1nS/MF+OHZYv+hGQ7pCfs/DeMEM/H/3H3Cjoeuak7iaB3mS5wAAIABJREFUVbiaVTfYozHGxFlvFxIa1kkIz4NoFHbeh8stgKPvwMmj+GeO4QpLNbDacg+uqEyriGRm6+sun0faW2D1hjteA+RWrdNSvGbZkGOH4eIZSEnRbqzBoM6wr94Afb1w7D0IpCDBDKYnYF3NoQdwNSv1tYN92lQxQVJTXUEx7H1E4wJrTrakJWwQX1lZSTQajfcwljS/oxX+4nvQ2aoPpKZDdg6cOqqLc8bG8HbdPc2tjDHLg+TkwflT0NasZSUd8OtfItvv1bU+vT2ArznLXR24imqonmpiJ52tOkMKOAQ27ojPBzEJSwLJmobV3akXiYFknU1/40Vob9YypqmpuAunYP02APwjbyFH3oaqOpIe/6xWgjv0W4hGcJW1um4jQbg4l7w08yMxLgtn8cwzz/Db3/6W9vb2eA9l6Tr6ts4AAOD0i25oUFtCg3aWM8aYpaa9RRcRJicDosFW2xXo6YShQVxx6cTsaSYUzOz94R99B//Ac0hHGxKLIbO/g7nLeTvug7Wb9RiLxXT9WN0aDeiTAlozPjkVUtOR8Bj+oReQ3/yDdgg+fhh/ZFhfF40iviD9fdcV5zDmTiXsTPzWrVv5wz/8Q771rW+xZs0a8vPz8a65FeWc46tf/WqcRpjYZKAPGR6ClHQYH4fMTAhmaUpNWwuy+yHtNmiMMUtNeTXkFsB4RAOqaERzlSPjuPVbtTSg78+oBiLRiFYZ+eDNiUoiQEoKcuIoflYuXs3K+H0ek3BcRTVeWSV+f49eNK5ai1u5DrlwWtNisnL1znZJuV5A9nXr7Hx3F+TlQzSCBAJafvLDdzTN5vj7MK0bujF3KmGD+GPHjvGjH/2IaDTKyZMnCQSuH6oF8bPzYzHkn38BTQ1QXAKr1upswtkTWqEhKQmXkmalI40xS5IXzMB/6t8hL/8a+ns0paZ6JS4lBdZtRaJRbdo0QZouIh++p9VsMrI04AoGp1IN09PBgnhzDTl3AnzRxZ9lVXjZOfBvvogcfQe50gA4XV9RVKoBfEmFNnbKzUfOnYTDh7QuezATV7MS6enk1guYGnNjCRvE/+3f/i3Z2dl8/etfp76+ftYg3txAS6M2POnp1Jq14uttv8g4ZOZAdR2u3hZhGWOWLpeWjowMa4pgNKKL9ErK4dV/0Uo09z6CS0tDGs4hpz+CSFjz3x95UuvGNzfCO6/A2CjSdgUJh3Gp1uTOKOnthvffgFMfaqffs8eRrbthsB8/GtWZ+NUbcb1dGqQ/+hkY7IdfP4s0NuidnoFevfvtBSCvELd6Y7w/lllmEjYy7ujo4A/+4A9Yt86CzVvW1w0D/TA2qrf9+idWxqcHIa8A98TncBlZ8R6lMcbcNpeTh9uxFzn2PuTmQ80q5P1DGjSNjcLwMOTmIZ3tOqmRlo4UluIVFuOiESR0AkkPQiCg+fO9nVapw0ySS2eRrg5dbzGRNuOcw3/3NTh5ROu/Dw9M5Lk73INP4OXmEyutgMyJ79fMLL24LCrB7ZgqRWnMfEnYIL6mpoahoaF4D2PJkQunkDcPahm18Jg+GMyEnFxdZLNpF67WykcaY5Y+b9se/LIqOP0R8s4req7r7tCgPj1dZ+hFNNVhxWq8dVtwXhISzNSFihO15F1pJRQUx/nTmIQyPg6pqVBUBoWl4AsyPKhBfTSi1WqGBicCdtGJMsBbuRY5/RGutBKprYemi3r8WT12swASNoj/wz/8Q/77f//vbN68mbVr18Z7OEuGnDmmpSRTUmH7vTpbsHK9dib0PK2TbIwxy4TzY8hQv9bzHgvh7n8cghk4z0PWbMR1tsPQAC4jE6pW6Gty85GN23G93bhNO+64TrxZflzNSujpQMbGNHAfGYSmi7h9j0EwE4lFcWu34Pq6ISMTl1eAdLRCNIp79He16Zfv64ViVrY1ATMLImGD+Oeff560tDS++93vUl5eTmFh4XXVaQC+/e1vx2F0CSw9qDnw+x7FJSXpwq2BHlwww0pKGmOWn7xCSEvHFZfBtr14FdWa4nDxDK7xIqxar+fCaWRkGE4c0XMlAjvui8/YTcJy5dVQWgEjw8ihF5DONhgdxaWk4N378NSGhXoHR4YGkHdfAwQ3PAjb9mjxiKLS+HwAc1dI2CC+ubkZgMLCQsbHx2ltbb1uG+dsnfd0fmgY6WiH7DxdAX/178d5Uz8bY8wy4tKDsP8piPm4ZO2UKc2XkcOHIJCM5yVB/fprXjT9Zzs3mtk5LwmXlYNfW4+Mh6HlMpRXzb52wjlwDgmHdYHrNSVOjVkICRvE/+Vf/mW8h5BwJBrV/LrMLFxxuT422A99PXpiOXEE2pr0ZFJdh9u2B65c0lXxqWlxHr0xxijp7YbeLqiqu+WKMNPPeVdTFJyXBN602fbWJl3M6jxkw/bryvq5YCbs/QQM9EFVHcZ8HJeWrkUi4Ia57S4zG79uDbz6r4gDd+oobNyBhEagqw2Ky/WC05h5lLBBvJnF6Y+QS2cBhzzwODScQd58CQqKcSvX6ir46pUQHoWN2zXPc6WtJzDGJA4Jh5G3XtL1Oj2duN0Pzu11IsiRt5C3XobCYlzd2hu+1qWmIVUrdDa0ePZ0BldQbItZzdysWI1Lz9B1F8ND+B8dxlXW4tZMlYyUsVHcmY+Q0BB0tiNVdThA3n4ZRoa0TOUnPh2/z2CWpSUTxJ88eZJDhw7R19dHRUUFn/zkJyksLIz3sBbZtJbNI0PI5QsasPd2Qs0q3JZ7cJlntJxVZnb8hmmMMTc07Tx2K23ohwaQxot6zuvpguqPqbK1djOec7rgsLDk9odqDBOpu2WVAPgfvKm9Bc4eg1Xrpq23mKiCVFyBS0/HbdiuD0ejE79HFn/gZtlLqCD+H/7hH3juuef40Y9+RG5u7uTjr776Kj/60Y8m//zhhx9y6NAh/st/+S8UFRXFY6jxsW6LzgZkZmnZq/wiJDyKKyzFbdutt4i37Yn3KI0x5oZcahrc+wlNp6m+hVSWYCYuvxAJ1+CKynDbdt/4PdLSYcs98zBaY2ZypZXI5fNQXDZjwbRLC8Keh3F9Pdo9eCJNzO1+QNO7ymviNWSzjCVUEH/y5Em2bNkyI4CPRCL87Gc/IxgM8q1vfYtVq1Zx5MgR/uqv/ornn3+er3zlK3Ec8eJygWRYNa351QOP4yIR6zJojFlSXEERFNzaBIwLBOCBJ+ycZ+LKbd4FazZpGedrnyssgWvu/LjcAsgtWKzhmbtMQi2dbmtro76+fsZjx48fZ3R0lCeffJKNGzeSlpbG3r17uf/++zl+/HicRpoYnOfZl5kx5q5h5zyTCFxqmlXHMwkhoYL44eFh8vLyZjx28uRJALZv3z7j8bq6Onp7exdtbMYYY4wxxiSKhAric3NzrwvMz5w5Q1paGjU1M/PJnHMkT9QEvptJaERLrhljjJkz8WNIbzcSsQWH5nrS34uMheI9DGM+VkIF8StXruTVV19leHgYgMbGRi5evMimTZuuu3XV0tJCQcHyzzOTaFS/aGKx658b7ENe/jXy6m+QK5fiMDpjjFk40tejzXMWwpG3kTde0F+3UiXHLHty4TTy+gHk5X/RibKrF3xWYcYkmIRa2Pp7v/d7fPvb3+Yb3/gGlZWVXL58GeccTz311IztRIT33nuPLVu2xGmkC0uaLyEN53BVK5ArDdDfixSVkTS91TPA0JDWWoaJpiUrFn+wxhhzC8T34fj7yNAAbtNOXE7e7Nud+hC5cApS0+HhT2rfi+nPi9xRXrIM9OkPQ4MQi0LA7uyaCYMTx0Y0AqFh5MQH0N4M2Xnw4BMzjjtpuohcvoCrWYWrWXnHx6UxtyKhgvjq6mr+9E//lOeff57Ozk7WrFnDU089xerVq2dsd/LkSdLS0ti9+8YlxpYyOf4BRMb1dp4Dhgbgwin85suw71G8iXq1lFXgVqxGxkaR6rrruhIaY0zC6e1CGi8AIOeO43Y9MOtmk0F2eBTGRiergcjYKPLmQX3sngdwRdrMSaJRuHxeO1qXVt50GG7zLuTiGVxZlVb+mgMZD193MWGWoTWbIBxGhgaQ0RBu8oJvAHwfppWWlOMfQCyKDPYjXW3QegXq1+PWLc9JRpNYEiqIB1i7di3f/va3P3abjRs38oMf/GCRRrS4pPEi0tQA42Hc1t14K1bjv3YAvCTk8jnwfeTJ38cFM7TV+KadyDuvwKu/QVaswW3aEe+PYIwxN5aZDanpej7r70HSM3Abrz9vufVbkTMeLq8Qlz1VdpieTu2ACRowTQTxUx2t0fK7Nynr54pKJy8A5kLefwNpbYLqOtxW68exnLmMLCQ5BU4ehWOHkfsfxWXl4MqrZ9SGB7SkZEcLgsArv4G0NEhOtiDeLIqEyom/20loRG8fl1Zod7iNO3CVtXj7n9IvvrR0SE+f+ZpoFDrb9Oe2K/EYtjHGzJlLS0fu/QRk5uByC5Dmy7Nvl5OHt/tB3OoNM58oKtW62+kZM5tFuek/6B9kPIxExu94zCKCtDXrzxO/m+VNBvtgPAwiuEgEb89DuFmak7ld9+M+8WnIL4bcfO3mmpMfhxGbu1HCzcTfrfyeTuSX/xNGBvVk4Dnk4mlkx33IyCB4HqQGcVV1uGDG5OtcIAD1G5DWJtyq9XH8BMYYc3N+aAT+4W909rKkEnf/o4jv47zZ55Skvwc58jbkFuC27cGlpOIeePz6Dddu0RnUtHRovox/+iOku0P3u/cRXN7tF0JwzsHazUjTRVxt/U23N0uXtDfjH3pRU7PEh9o1uA3bb7i98zzIzMarW410tSOxKHQ0Iy2NUFgKEtNuroCEhpGj70AgGbf9XlxyymJ9LLNMWRCfAEQE+fu/hlNHIZACg/36e08XfnY+vPsqnDkOOCQnF7bNvJXr1m2xW3fGmKWh9QpcuawTFiMjiPhw6RzsexSXkTW5mXS2Qkcb/oVTem5MSYWSClxF9ay7dYEArFgNl84hDWeQni5wDkkPwokP8DNzcKeOQHkNbt/+Ww6gXP16XL1NlCx3cvJDOPIWDPRCTgFs2w1d7ZrvvmodxGJw/hSkB3ErptbrudJKZMsuaDwPF87gpwVxsZgG85Ur8PZ+Arl4BvngLUhOhqJSXN2aOH5SsxxYEJ8A/KNvw+mPIBKFSEQrzjgHYzm6kKbhjJ5QnAd9PUgsdn1enjHGLAXZObo4cHgIAqNw+TziC+K9hHf/Y7i0IH5fD7xxEAIBOP4+9PdCSioSHp2xK+lqh44WqF45lTcfzAQc5ORpdZHONq0Ff6UBGR2Bk0eRSBjv0c+A+Lq2yJgJkpMDfT1asainEy6dx2+8CJFx8H28aARpmFh7kZGFKy6benFGNqRl6AVnOIy0NuoFatsV/GA6LikA42MwFkIaziI5+biCovh8ULMsWBAfZ7EP34Mf/0C/bK7ykkAE0oPw/iE9kfg+4EM0agG8MWbJkpRUCA3rOc+PQTQGXW3QeB7/yNvwuX8P7x2C5kua8+55uh4oNQ1XWDK5H7+3G14/AMkp0NWOe/hTALiScnjgMWi6hJw/AeExPX+mpEJrEwjw7mv4Y6M4LwnZcd9UxS9jppduFh/+5ZeaG+95kJSE3P/YxIYOUmbezXEFhUjtSnjnNT3OwmEYH4dwF5w/DU98Dro7oaUJBvq0KMXjT+tdJGNugy1sjaNYKAT/87/NDODT0rV8lfMAB82XYXRi9slLgrrVs+3KGGOWhv4eCI3oz76vC/mTUyEa1RnQX/y/cOJ9DX7Gx2DVeqitx23agTcx2y6drcihF5CmBqS7E7lwBv/d1yab4rncApwIjIY0/SEzG558RiuJBAL6PmeOI2+/jPzo/yH2xovx+tswiSYWhekFm0eG9NiMRaH5MnL8AyQrB6mtv64CkvOScOGwFqDo6dTJuOwccEnQ3YH0dOLS0nX34VH9Trea8uYO2OVfPP3f/xFGR2Y+lpEJeDoLPzIMvV3oJf0EW1RljFnKMrMnAqUJl85BRY3Odo6HNWjyfQ2+cToDv/8pKK1AwmFcaioMD+EcSHUd9HSB5yEtl5GySpKqVwIg9ev1TmZBESR5uOIyZN0WePU3ekq9cFqDrNRUePFX+CmpuJIKXM3KuPy1mASRkqIz8NOJD1FfK8G9/YoG4cXl+NEIrmYVXDoLZVW4ihpYuQ7OHYexEOQXTU3CdXfC679Fcgs0Hz6/CLfnIbuzbu6IBfFxEvubH0wE6NM4B4ODEAnrTHxy8syTSXKyVaAxxixtY6NT6Qqgs/JXLmkAn5amM/CpqbrNQB/k5CP5RfDs32i5yAcex1u1HjcyjFw8A52tGihdPA3HDhPbshvvqX+HvPC/NcBPSdF8+tcO6AVDUvJUegToudY5LdHb3gLFZVPvXVJhQdbdJiXtxs/FojA8oN/NHa3IgX9Cyqp0tr21Ca+kAm/9FmK1q+C5n8GH7+nx7XkQGdN1IKMjum5j43ZcVs6ifSyzPFkQHwexN17UnLlreUkawIMG7+NhTa2JxTSfc+U6a+dsjFnajrx1zQOis5YAoRAUFWsgFQhAf7fmvL/xgs6CDvTCYD/+3kd0xrw1qOfNlFTo7tf8+mOH8XfshZNHYHhQ68knp2iKQ2oaBDP094IiKCrTu57JqdB2BcnI1tn511+ASBhXWQvb9y7235CJp5bLM/8cSNbv4OkTapEIxIahX4N5nIPCYvxNu/B6O+G91+HyBb1gBQ3+U9P1LtPG7bjMLNzY2KJ9JLN8WRC/yPxoFP72h7M/Of0W81XJqZCRqgu8albpNslzaxFujDEJJxS68XPpQVizWQPtUx9pED42Bm0tMDasCwXDYfinv0XKq6C8Ss+J4TENtoYGdNbzuZ9Dd4cGV9l5kFekpS37ezVlcc1GXDALcvKhvxtpadL3zMjQfPmJBlEyNopNm9xl3n5l5p+zc/Xu0PDAzMf9mK7vcLrgldAIvPav+ONhaGqYSAmLaupWUkCPr9w8nIDkFV7fxMyY22BB/CKT/+uLzMhxvxHP0//4aelQWoFbuwW3absuijHGmKUq+2NSCPyY3oFcvUFn4099qCUkk8OQFpzKmXdOA/YLI5r2MhrSyY2UFA38Wxt1mwJtnEdHs24TzNQ+HD1dULECl1eA9HfjMrOR9HTo70OaG3Cbd+IG+mHV2sX7ezGJYaB/5p+Hpgfvjhnf3yIgMb0bFBqB44c16PdFv7uvHs8xX+8G5eRDVhbe+m2WSmPmhQXxiyj21//1mhPCx/AFvIkyk3sewrtv/8IOzhhjFkN4/GOeG9NUhI/ehcoVEB3XGfZoRH+O+RPldkVTFSprNShPC2qwPjTR3Xp4SNNxOlo1DSItqPtJD0IwCMFMrdO9brPmyNes0u0unYff/COyYRvev/3SYv2NmEQSSNZj7arI9ON1tgk4BykTx2g4psF8MBNWroX2Zv3lnM7md7YiK9ficvOv24uERhARXGQcsnOu618gHa3Q0gg1q6y2vJlkQfwiibW3wOHXb+EVonl4Y6Mggj8+hmtpgpw8XL79BzbGLFEVVTffJhzWRaiZuRDwIC17Ig85qrOfoNW7ikp15nN4EHq7ddZTBDKyIBaBsYk63ZGIpiau3wINZ3WGPykAQ/2aHz+UA91tmnLjeXDyKLH+XpJmCbaukpFhSEnFXZPeKAN9Wl6wolYr6Zil5Zbzp0SPV/EnZuZFLyyPvAm5hXp8pabq72XVuOklpa/uobMVefd1pOkiUliCq63H7X5w6nnfRw4f0pn9nk7co797Rx/RLB9WJ34R+L4Pf/rVW39hUpLOIHV1IP/wU+T4+8hbLyGhkZu/1hhjElFf99y2830IDelkRm+35rNHI3pe9JwG9OdP4TZuhy98XUtXJqdoDvyDj0NFrabYBAL6KylJq88kJ0OSp/vubNe85vZmKCjR9JvARP7yscM3HJpcPIO89CvklV8j4akFihKJIG8eRE58gFy3gNcsCdHYzbeZ7mr1oqTA1AUm6HHb06HBe1auzsb39ehF3qWzM/fR14P4vs7ih0f1mJzGeZ4ekzD1uzHYTPyikP/wmVt7wdUvkdxC/SI79SHEIsiK1XpiGA/jJv4jy8gQDA5ASZm1DzfGJL6+vrlvG41ozvtVSUmQlaMpD/090NWOvP0K9PdpPnxOHtStxdu+F9+faPbU1abpiSmpWo4SAAfpmVBZo7OogSTNvb9nH3R1QFr6DdcfSWcb/uu/1TSLknJobkQazmgO9I694PtaCrO3E4lGJ7txSmhE0yGKSmdNp5grGRrUdQHFZRrcmfkltxrET6xdG+yf/fnR0ERBilQor8SlB7UpWeNFKK3UuzW19XqRmpwMWdmzlpJ29z2qF8AFxbfxocxyZWeABRb7ux/d2guc0y+ih5/URVVpafplFYtB00W9fdtwBgAJjyGvHUAOvw7HP1iA0RtjzDy7plX9LfFF05LHx/RcGYtoNZkP3oDenskA3z9zHC6f1wo10Zg2k0oPTsziJ0FeAazborP3/T06Qx/MwqtcgfeZP8Db/SBu+72zDkHOn9IKN+NhXGkFDPZp7e++btxAH+zahwuNaFWdD9+Zet37byCnP9QusbFbDBSv7iM0jLx+AHnvNTj90W3tw8yz8fGPrxjn0O/vrBwoLNXv7aPvIh+9q9/doMdyeytcuYTLzseVXZ9y5lJTcaUV16VvmbubzcQvoFgkAof+dW4bJyXpreCsHKjfAA8+gTvyFjI2qvmcOXma75mROfWayLjOVAEyGrJSaMaYxJdfcPNtbkR8GJiWahAITFSrmVhDVFACVxrg5Ac6wx7zJ3KV0UWwA32QXwhb9uBt2Iq8+htkvBaaLkFRCaQHcRlZmlN/A660QtMkNmzH7bgPeruR1iadjc0v0voluQU48ef/vDw+PlWKeOxjSnWaRSR6oeglzWxiBhNNniKQkwnlldB4Qb/HuzuRknLt9go6i99wGqIR5J1XkM07rSeMmRML4hfS//m5uW+7eTdUVEJSMm7fY3hZ2cj9j+H2PIwM9eNaGpG0oHYPnGgL7jKzYesevcVmnVyNMUuAW79tLkV25ybma7nIwX6dbV+/VfPbI1Gd3XRojfiOZhgZhJXr8B77DK6kHADJzdea3jv24u3chysuu/n4V67VyjnJyZrOUlwGv/N7M1NbduzVtJy6NVOv27lPS18Wld12F1iXmw+bd2kZRKsznjgG+jTFy3MQndbvRUTTbfIKoH4jfPSeVmCaSP2Sq/nt+YWQX6RBfmau5sWnBePzWcySYkH8Aon90VNz3zg5BdLScGu24K3dNPmw8zxITcWllkBhyawzOq66ThtBGWPMEuAVl3F7ySSzuNpF0znIzSdpx178lFTk+Ps6ueF5mirjPK1g03YFuXRuMohnoB+Ky/XcWlQ657e9turMtbnprrwayqtnPhbMmJfJFldbf8f7MPNNtCxl0jUhVXqG3j1fvQnWbNLjtbVJ8+SdN5X77jzYsF33k52rpU7XbVn0T2GWHgviF0Dsf3xvbhsGAoCD3AItHZluV97GmOVNZN7m4ad4SZCdS+x//jcoq4JP/hvc2y+DCFJUCkff0cofKanIqaP4OXm4tZt18mQspBMp50/q3U6bFDG369qu60kBvSvjefD//TV0tmnZ6FXroasNuXyB2MgQpKfBirV6VykjW2fujZkDC+LnWeyd1+HE+zffMDllYpFVQFuA5xfiJtJkjDFmufKHh+d3h2np8MiTcPY4tF2BM8dwJRW4xz6LRKPwm3/UGVEvSfOTB/qQs8dwWTm43Q9DdzvS1Y6cOab7Sw/ibmFW3pgbCg3BK7/R5k/O6Qw8wIVTelE5HtY8+qSApoZlZOnkXtHN07qMAatOM69iIyPwN/91bhs7p7fNyqtweQW4fCsbZYy5C5w/MX/7CgQ0DWHf/on29lEt8TgaQsZCyKkPYahXZz+TkrSKSNFEOd7kFK34UVGDS59We/s289WNuU4spjnwfd2aN+/H9PjKydMc+smFsKKBfngUjn+Af+TtuA7bLB02Ez+fvvnMzbdxDvB09uih38Ft2KFtlitqFnx4xhgTd7/55fztKykAY6O4Nw8i5dU6MZKTB2Mh5Eff1+pdK9Zo8B6JaDCVlQ2r7p3KiweoX68562np1hHbzI+UVL2wvMqPQUYu1K6GnFy9M3Q1/aZ+A27Pg8g//y9dgP3Cc/gr1+BNOxZFtALT1b4DxoAF8fNmTgtZkyY6B3qeliK75wG8nNtv+mGMMUtO48X521dyCpMr/vMLcXWrAYdcPqeLCD0Piku1DGV7s87IF5TgrqlV7zwPqlbM37jM3S2YqY0akwJTgXpSAHILcfXroX49rOvRBdihYdz+J3G1q5EP3tSFr4Fk6GjVijWA+DHkrZehtwvWb521GZS5O1kQPw/mFMCnpOnVd3oQSipxDzxuAbwxxtyK1DRNTwANij71b7USTGebzqS3N+tzJZVaUz2/EG/vfiguRy6dA8/DVdRqh0xjFoLzNICPhMFNNBbLL9YeMFnZEBqGxou4ex/WWfXkZKhbi/M83Ge/AL99HrKymFGFaHRUA3hAWposiDeTLIhfaM6DlWtx6zbjNmzXGsPGGGNujefBg78DR97WBYP3PUrS/okJlPVbkdAI0tcD42G8rbtxvzOtT8eGbbgN2+IzbrP8OKez7UWlcO/DcOB5bUImomk0KSn6fHYObuU6vN//Mv74OLzya70ITQ/iklNg044Zu/VKyuELX7v+/YIZuOqVSFc7btW6RfqQZimwIP4OfewsfCAZvv8TvKxsiESvqy1sjDFmjrJyoaUR0ibuajrwD/4KV1QGm3fqTPwjT4Ifw6XYudYsIOc0NSs1DTbu0kWr505ogJ6Vq8G5CAz0woOfBMBLSUHufxz6e6C4/CZvcO3bOdi627qym+vcNUH8z372MxoaGlixYgVf/OIXJx9vamrixz/+MQBf/vKXqamZ+wLTm6bRZGThhUZwOXntdl5TAAAgAElEQVSQahUPjDHmtg30wlC/piamp8NgP1JWhTQ1gAOvpGJisepd87Vm4sX3AR8azsKffUPTs77wdVxGFs55uKzsWV/mghkQzJj1OWNux11RYrKhoYFwOMz3vvc9otEoFy5cmHzu2Wef5Rvf+AZ/8id/wrPPPjvnfc4pDz4jE/Is790YY+aF72vFmfCYVvu4eAYunYV3XkHefQ0Z7Iv3CM3dJDKuM/LnTsA//wLX133DAN6YhXBXBPHnzp1j06ZNAGzatInz589PPjc8PExhYSH5+fmEQqH5e9NAAFZvwqVZF1ZjjJk3KWmQmaWNcQpKNH3BEg3MYnOertNwTvPgYz7020WkWVx3xX3HUChEaal24AsGgzQ3N08+N70F+I3agR88eJCDBw8C8P3vf5/CwkI6bvRm6RkE6taQsmUHwcc+S1JO7rx8BmOMuWtU1UF1rXa0Do1ofnFOHuQXarC0fjPOF2i7guQW4FJScDn5uOy8eI/cLGcuCWrq4PGnYXQEyquh8QJ0tUNZtZaONGYR3RVBfDAYnJxlHx0dJRicmh13zs3683T79+9n//79k3/u7u4m6ce/uuH7CRAGwpEodHff2eCNuQXl5be2YOpm5pQ29jE+7v+JuTvN6zFh1b7MPLvl49OOQRNHd0U6zerVqzlxQlt9Hz9+nNWrV08+l5mZSU9PD729vTOCe2OMMcYYYxKVkxvlkCwzP/3pT7l06RI1NTV87nOf4+WXX+bpp5+msbGRn/zkJwB86Utfora2Nr4DNcYYY4wx5ibumiB+PrW2tsZ7CMbMqry83I5Pk5Ds2DSJzI5Pk6g+Lk32rkinMWY5ksE+ZDwc72EYcx0ZG0WGBuM9DGPMIpFoBOnvvWGBELMw7oqFrcYsN3L2OHL2OKSlw0OftA6VJmHI8CDy2gGIRWHrHlx1XbyHZIxZQOLHkEMvwNAArnolbN0d7yHdNWwm3pglSPomqh6NjWoJPmMSxdCgBvAAfT3xHYsxZuFFojA0AIDY//lFZTPxxixBbt1WRMDl5uNyrSuwSSAlZbiaemQsBPXr4j0aY8wCc6mpsGE70tGKs1r5i8qCeGOWIJeTh7v34XgPw5jrOC8JtuyyHqrG3EXcyrU4q5m/6CydxhhjjDHGmCXGZuKNMcYsOusGbIwxd8Zm4o0xxhhjjFliLIg3xhhjjDFmibEg3hhjjDHGmCXGgnhjjDHGGGOWGAvijTHGGGOMWWIsiDfGGGOMMWaJsSDeGGOMMcaYJcaCeGOMMcYYY5YYC+KNMcYYY4xZYiyIN8YYY4wxZomxIN4YY4wxxpglxoJ4Y4wxxhhjlhgL4o0xxhhjjFliLIg3xhhjjDFmibEg3hhjjDHGmCXGgnhjjDHGGGOWGAvijTHGGGOMWWIsiDfGGGOMMWaJsSDeGGOMMcaYJcaCeGOMMcYYY5YYC+KNMcYYY4xZYiyIN8YYY4wxZomxIN4YY4wxxpglxoJ4Y4wxxhhjlhgL4o0xxhhjjFliLIg3xhhjjDFmibEg3hhjjDHGmCXGgnhjjDHGGGOWmAUJ4vv6+mhubl6IXRtjjDHGGHPXC9zJi1988UXOnj3L17/+9cnHfvKTn/Diiy8CUFNTw3/+z/+Z7OzsOxulMcYYY4wxZtIdzcS/9NJLpKWlTf75xIkTvPjii9x3330888wztLe3///svWdwXed1v/u85+Ac9N57IQAS7L2LklgkWZItWXKPc28c558+yXWSST7I8jjROCPPOBlPMpNJnNhOPuQ6jm9sR5ZlS6Qsi6REir0TJEGQANF7Bw5OWffDQiU6DirxPjMaHpy9z97vgTbevfZ6f+u3+PGPfxz0IC0Wi8VisVgsFsswQQXxDQ0NZGdnD/186tQpEhIS+OM//mNefPFFnnnmGc6fPx/0IC2WpYz09iC1VYjPt9hDsVgmRTx9eq16vYs9FIvFskyx88jSISg5jdfrxel0Dv185coVtmzZgsOhzwZpaWm0tLQEN0KLZQkjfj9y4m3o64X0bMyOxxZ7SBbLhMjJY9DdAYkpmH2HF3s4FotlGTI0jyQkY/YfWezhrGiCysSnpqZy9epVAMrKymhoaGDTpk1D29va2oiIiAhuhBbLUsbvA49HX/d0L+5YLJZJkEAA+nr0B3utWiyWWTBqHuntWdzBWILLxB85coTvfe97/MVf/AXNzc0kJCSwZcuWoe23bt0iKysr6EFaLEsV4w6FbXuhoQYKVi/2cCyWCTEOB+zYDzWVkLNqsYdjsViWIXYeWVoEFcQ//fTTuFwuLly4QH5+Pi+88AJutxuArq4u2tvbOXLELrVYHm1MRg5k5Cz2MCyWKTEpGZCSsdjDsFgsyxg7jywdggriAQ4ePMjBgwfHvB8VFcXrr78e7OEtFovFYrFYLBbLQ9iOrRaLxWKxWCwWyzIjqEz8X//1X0+63RiDy+UiMTGR9evXs2vXrlFuNhbLckFE4MYlpLsTs24rJjJqsYdksYyLdLYjNy5hYuIwJZum/oDFYrEsEHLzMtLRhlm7BRNtG4EGS1BBvIjQ0tJCfX09ERERpKSkAOof39PTQ1paGhEREZSVlfHuu++Sl5fHq6++SlTU5AHQm2++yUcffcRrr73Gv//7v1NeXk5+fj5f+tKXABbkPYtlFI11BMpugLcfnCGYbXsXe0QWy7hI6RWor0bqq5HYBExSihZgWywWywwRbz94vZiIyOCP1dKI3Lmurx0Oa8k8BwQlp/nCF75AV1cXv//7v893v/tdvvnNb/LNb36T7373u/ze7/0eXV1dfPnLX+Zf//Vf+d3f/V0qKir4r//6r0mP6fV6uX//PgDl5eV4PB7+5m/+Bp/PR1lZ2YK8Z7GMISoamurh3m2oKNPM/ENIRxvS71mEwVksw5jYeACkrxdOv4e8+zOkq2PSz0i/B+lsX4jhWSyWZYL0dOv8cewN5MG96e0/mX1tRCS4NKFgYhPmapgrGufXv/71r8/2w9/+9rfZunUrL774IsaYofeNMeTn59PW1sZ7773HoUOHKCgooKmpiQsXLvD8889PeMyjR4+yceNGrl+/TmRkJDk5OWRnZ+P1eqmurqalpWXe3ysqKpr0e3d2ds72V2ZZphiXGxqqISIK43ZjVpVgRkjD5PZ15NxJeHAfsgswIUHXjM+K6Ohoe32ucExiCqRmgnFAVwcE/JiEZExM3Lj7S18v8uu3oOymrjIlJM/LuB6+NuVnPwjqeI5PfD7YIVksQ9i5cxyaG6CyHEDve2kTW4ZLYx1y4h24f1ubyY2TuTchLsgpwGTmYjJz523YjxrR0dETbgsq0rh//z6PPTbxckhaWhrHjh0b+nnVqlUcP358wv19Ph83btzgmWee4Yc//OGQJAcgIiKCqqoqHA7HvL/3MMeOHRv6Hq+//jpJSUnT/h1ZFg7x+fA31uFMTJ4X+YDv8Wfov3mZkOx83Onpo7b13vDgH2hsFh7mxplor5GVjvi80NIE8Yn6ELiAmLgEWL0B6evBhIZrUD8RPV3g6QNAWpswE+9psVgWEenrgc4OSEodlTidN1LSMdkFml1ftXbyfdtbQAIgQFsLJKaMu5sJDYPQsLkf6wolqCA+KiqK8+fP89RTT427/fz586P0711dXURGTqyrOn78OPv37x/6OSIigp4e7QjW29tLREQEDodj3t97mMOHD3P48HCL8qampql/OZYFJ/Dhuyp5iY7D8eSzc3+C8CjYuk9fP3QNSGY+0taGiYunT8yY7QtFRob17l0qyEfvayYrJh7zxMcW/PwmMgqz99DUO8YnYVaVaLHZ6g3zPzCLxTJjpN+D/PoX0O/B5BfDhu3zfk7jcMKW3dN7sM9ZhWlrAWMgp2C+h2YZIChN/JEjR7h06RLf/OY3uXTpEnV1ddTV1XHp0iVef/11Ll++PKrZ04ULF8jLy5vweDU1NRw9epRvfOMbVFVV0dnZybVr1wC4evUqxcXFFBcXz/t7lmXKoO63u1NbQy8gJjYex96DmLVbpt7ZsjIYeT2OU0OxVDDGYNZtwbHnyQklNxaLZZHp9+h/gHROXuOyGBh3KGb7fsy2fQu+8riSCSoT/9JLL9HX18ebb77JhQsXRm1zOBy88MILvPTSSwD09/dz6NAhcnMn1kF98YtfHHr96quv8ulPf5rvf//7fO1rXyM3N5fCwkIAXC7XvL9nWX6YLXugogwy87Q1tMWyiJite/V6zMpbmKVvi8XyyGKiYjT73tIExesWeziWJYKROUgRdXR0cOXKlSGZSVJSEhs3biQm5tH0AK2pqVnsIVjmELl9DamrwhStx6RPXLizHMjIyLDX5yOKiMCVc0hHK2bDNkxc4mIPaUY8fG36/88ngjqe81/fCHZIFssQK3HulEAArpxBOjswm3ZgYuIXe0iWcZhMJjsnFhoxMTGjtOwWy3JB+j3qqw3aIGeZB/GWR5iWJqTiDqBuSGbngUUekMViWdY01SMD7jPcuQm2/8myY8588Hp7e+np6RlX+2ndXCxLlhAXxCVAWwsmOXWxR2OxTExUDIRFQF8PJsleqxaLJUhiYiE0XN2p7JyyLAk6iH/33Xd54403qKurm3CfH/7wh8GexmKZF4zDAfuPQG8vJnLyTsIWy2JiQkPh4HPQ3z8n3RMtFsvKxoRFwMHnwefFhI915rMsfYKq/vvVr37Fd77zHZKTk/nc5z4HwHPPPceLL75IXFwceXl5/MEf/MGcDNRimS+MwzmnAbwE/MgSdySxLE9MiGtRA3h7bVss8494+5HengU5l3G5bAC/jAkqiH/rrbdYt24dX/3qV4d81Ldu3crnP/95/u7v/o7u7u4hD3aLZaUgp7TVPRdPL/ZQLJY5Q0SQk8f02r5ydrGHY7E8kkh3J3LsDeTo/yLVlYs9HMsSJ6ggvra2lp07dwIMWaj5fD5AG0EdPHiQt99+O8ghWizLB/H7obkR8fsJ1NgJ2PII4fMizfWIz4s01S/2aCyWR5P2VvD2AwLNj+7fmfT1Ih7PYg9j2RNUEB8WFja0rBoeHo7D4aC1tXVoe3R0NM3NzcGN0GJZRhinE4rWQX0NtLUg5bcWe0gWy9zQ24Pp6oSaB5CSvtijsVgeTVIzMZl5kJgKq9Ys9mjmBWmo0ZWGY/+LtLdO/QHLhAQVxGdkZFBZqdlGp9NJXl4ex48fx+fz0d/fz/Hjx0lJSZmTgVosywWTko7JyMbExNqMpeXRoa0FYuMxOQX6sGqxWOYc43Ritu3Fse8QJjJ6sYczPzQ3ggTA74M2m+gNhqDcaXbs2MFbb71Ff38/brebl156iW9961t86UtfwhiDx+Phj/7oj+ZqrBbLjJCAH7q7IDJ6YTu4JiRh8oqQjjZM8fqFO69l2SKBAHR3QmQUxrFEA+SMbExDDdLfD3nFiz0ai8UyAeLpg0Bg6Ras5hVpUiAkBDJyF3s0y5o56dg6ktLSUk6fPo3D4WD79u2sXbt2Lg+/JFhpXd2WK4GTR6GlEZOZi9m2b7GHsyCsxK6DjwKBM8ehrgqS0nDsPbjYw5kXbMdWy1LmUZk7pa0F+eCYBvE7D2BSJ+72aVkezHvH1pGsWbOGNWseTR2XZekh/R5djktIxoS4ht8PBKCpAWlrhn6PagvLbw3oDe2Tv2VhEW8/tDZBfDLG5Rq7Q1M90tqM6exA9jyJMQaprYLaSsgtwiQmL/ygLRbLrJGAH5oaICYOExa+cCdub1GZCkBLI4wTxEtdFdRUQm4hJnF6kmdpboTmBsgpWNjvY5mUOQ/iPR4PHo+HmJiYuT60xTIG+eAYdLZrt7nNu6H0CkTFYIrXIVFRUFWOuFxw6j2t+K+uhOQ0jDt08uPevwO9PVC4dvygy2KZAfLBu9DRCvFJmMee0ofPm5fB5YY1GyEmDspLkZh4TEMtkpyKnD8JgYCuJh1+Yebn7OuFu6UQl2AfXC2WhebiR0j1fe2yfPB5TMjMwy2puqcmCQVrMPGJ0/tQRi6msU6d0vKLxh4zEEDOfQABdVIzR6aeW6Tfg5z6lX6mqR7z0GqhiMC925owKywZlVCzzC+zCuJv3brFqVOncDqd7Nu3j4KCAm7fvs33v/99ysvLAYiLi+Mzn/kMhw4dmtMBWyyDqI64S3/o6oTSy0jVff05MRmTmgU93YCBiCjNUISGgXPyy14a65ABH2zj98H6bfP3JSwrg+7O0f+W3UQqygAwsfGY1EzIWaXbDGAcEB6p+0fMrrhNrp7XTD5oNjA6NogvYLFYZoJ0d+iLvl7NjM8wiJd+D3LhNCDQ2YF54mPT+pxxuWD7fsxE2x0OJCISujpgJk0OB2zEcYxz5Lpq5Np53Q00MWFZEGYcxF+/fp3XXnttyFryl7/8JX/+53/Ot7/9bcLDw9mxYwc+n487d+7wne98h6ioKHbt2jXnA7esDORuKVJZjikoxuQWjtpmHA7Ytg9qKiC3UJcOQYP0sAgo2YSJitaJKjFVJQvefrh6FskumHgZ0eVCpyKBKTL2lpWLNNQiNy5iElMwG7ZPuq/Zvh+q7kF2gb4RNbBSaRz6gJmejXG7wR2KSRlY/t7/FLQ1I+4w5NJHkJSKycqb9viMOxQBcDinfHC1WCxzi9m4U1fCUtIxoWGjtonHg1z4EPw+zNa943dhdoZAeAT0dut9bC7Htu+IylCnKdMz7lDYe0jvsVn5Y3dwu4dfu9xjtweBePvh1lW9FxetG+pJZFFmPLP/9Kc/JSUlhVdeeYXY2Fj++Z//mX/4h38gNzeXV199FffA/8zu7m5eeeUV3nzzTRvEW2aFiCA3LoEEkBuXxwTxACY9C9Kz9IekVEhIhvBIzECGQdyhqv0LC8ekZiBv/QjxeaG+FvP0J8c9r4lLhP2HNYOSno14vXDnGoSGQ8FqO4lYAJBbV6GjDelog7xiTPTEEkKTmjFKm2pyCjSQd7mGM+QPX9+tjVBbhTTUgqcXKsshKQUTNk3HifVbVUsfHTsmSJCGGqirVk1sbPz0jmexWKaNiUuAbXsRnw+5cREwsHqD2rPWVEJjre5YeXfczLVxOuHA09r8KWlurbpNaOi4WvlJPxOfCBNIekxiCuw7jFTcRbq7tKfEXDnj3Lkx1G/FRMVARs7cHPcRYcZBfEVFBc8++yypqakAvPjii5w6dYojR44MBfAAkZGRPPnkk/z4xz+eu9FaVhTGGCQlHeqrManTay5jklKHXounDzn/IdLXA+c+wGzapXIan1czHJMdJ2E4QyF3riNlN/X9yChIy5rFt7E8apjUTKS1SfXss7hhmYSkCbeJ34/88n+0EYrTBTn5mu1yTl9rapxOGCdzLz4fcubEgCa2AfPkczMeu8VimSYVZcP3j/AIyC+GxCQIcWnNy4h71sOY0LDl01jNHQpV95CebuTChzg27oDNu4K3dw4fTEAYXWG3jGLGQXx7ezsJCQlDPw++jo8fm82Jj4+nr68viOFZVjpm5wHNQoZqNbx0d4HPO2n2UNqa1ZkmLVOD9ppKQFQfvHWvBjfTrMgH9Bg6GnCHTbqrZeVgitdBTgG43WO83aWtWaUxEdPTnEpDjdZ15KzChIQgAT/S1qLF2LGRmB0HIDZuboqsHQ694fb1jLi2LRbLvDByFWwgIDUx8XDkRUAws5SfiIg6XkVEzYtbjLQ0QmszZOVr5n4qQlwqAWppBJcbqbqHySuCSZIV08HkF0FUNLjcurphGcWshJKOEU9Wg9KC8SQGVnZgmS5SXal//KtWjwp8jBl++pb2VuTE24inF4wT09MFq0ow2/cNTYTi9aoTiN+nVf1rN+u/vd1IWASOpFRMWDjS04WUXoG4RJU2TIJZtQYiozUoC3JCsiwPpK5al7unksmMc/OUe7eRq+cQhxNKNmPu3tRrODxCta1rNo6aG6W9FTn9PiB6Ta/fhrl1DQmPgkgwOw6obGzkOarua9fDwjUz7upoHA7Yf0QDgOWS5bNYlikmPVv/3jCj7h8PP5CLpw+uX9QH7LWbR2WwJeAf2wTu+kUCpZehoRazegNmz8HxtfWzQDx9yIcj3Gh2PT7lZ0x4BBx4GrmRBjcuQlcnEh4xboGtlN1EKu9i8oowBaunPnZy2uTj7WxXC+nkNMwKk9vMKojv6emhvb0dgM5OdVvo7u4eem/kfhbLVEhPN3L+A0CgqwOz58nxd+zq1OClsQ6MAwkNBU+f6n7H7Ywq8OAeJi4eiY7RYH8g6JKr56G+GrijHVajJrdENWmZwXxFyzJC+j3IuRO61N3ajDnw9MwO0NGmxViV9+DuTSQ1U+0lY+O1XiMpFUbelESAgZ57AtLXg5SXQlomJjIKx+bRNUW6XH1Kd+7uwOyduQOYiYgcnSG0WCzzxkh55oSU3VRLScDEJ0GmBqNy7YLOB5l5mG17h3aXjja1V+7uRFqaMLUPtB/KImKiY3FkZhOovo84HTge3IPidWP2k9LLEAggNy9PK4ifCrn0kSYlKsshMWVMIfGjzKyC+O9+97t897vfHfXe3//938/JgCwrB+nrQT78FdLTjfH2qyuM243cvqY7FJaMyj5ISpou2SUkQU8POJ0QFQsjrPOMywV7DkJTveqIax4QqKtSHbzPN7xfWISGTc4QPabFMoB4+pD7ZdDfj9mye+z2hhqor4W8wvFtG4vXY+qqkZhYcIdhujohPkn7FThDxgTPJi4Bdh5QOU1eobrJxCdhWpuG/N3F74eKMl2OT0zWvxVv//SLXC0Wy5JCWpqQuzeRmgeaxR5cEXY4Rlk/Dgb2Ul2BpKRh/H6V3a3fing9GFcoRMfM6aqaCQ2DPU9CS9PwuKaLO2zYEz9sgmA6NQtqK8esMM6awXnQ5dK4YAUx4yD+U5/61HyMw7ISaazXzDtoF7iMHALdndqwCXRyGtGswuFyI7ufUOnNqjW6dAZj9PEmIQkJC0euntfJMSlNnT7OHEeOvKj6vg1bMSlp6twxniSirgq5cQmTnDalfaDl0cK0NCJpWaoZf8gVQnxe5KPjIAEtCh3Hu9mER8ATz8KZ97X5yda9OOITkZYmCAsbVydvRhRLS3ODPliu3ohZPbDCdOvKcHHc/qd0daCjDVKm5zAh/R7k/Ica+G/bO2MJjsVimR3i843b6EnOvK+yvZbG4YTVgadV+z3i79MUrkXulqqk8+JpBDA+H6awBOfjH9N+KcbMuXzZJKZMWjsmHW2aSY9LwKzeMPy5lHTYdxh8PnXlGu/Y2/dB//Y5sXCW29eR9hZMRg5m7eYV12hqxkH8pz/96fkYh2UlkqxBNP0ezKoSqKuCCx8iNQ8gNBQyc7WoZQRm/TbMdJov3bkBtQ90wgsNG25UMXgchxPSsyf8uNy+Bl0dSFeHdsubSVMMy/ImJUO1qz4vJns4CyUBP4EP3tVrKyYOWpoIfOjGbNs/pvDLhIZiHntq9HvTrKeQq+c0QG+sRfIKx10aNpHRelOfLrVVw5Z2FWWwdsv0P2uxWGaMiCAfvQ8NNVC0Tos9K+9i8osx+cUawEZFa2fw8EjtFTFO/Y0pLMEUlmhi6UzD2O3Bur/MErl5GeqrkfpqSM0cVXQ6YQ+Wwe3GzElRvQQCSOkVDKKe+9M0EniUsB1ALIuGCQsfZW8XOP+BLgt6PZCRC01jJ6xpExcPFah8Yft+lT/ExkPdAwK3rulT+/qtE48tLUvdQeISYB4q/y1LFxMegTn4/NgNPd2Y9hYkp2BY495Ur83G8ovn7vyxCap3jYwelnqt3qjSmYhICAsn0NEGlz4Cvx+zY/+UNR0kJIMrVAu+k20xq8Uy73j7NYAHpKYSeruHdeD5xZi9hzCNdbqiPI17jEnLgm37tCYmLXPCjqxzhfR0I2dPgAhm52NjAmQTG68BfGjYrCx25wLjcCCpGQM21Cuzbs0G8ZZFR25cQu7fUfeO8ChYvUGdYIIoJjW5hdqYYiBwkfu3wecj4PVgXG4tFFq9YULLPlO8HnKLtBnPImU6LIuL9HuQ07/WxiXb90FCMiYrXwP3tZvh3m3Vr06z6+G02bQTk6e2amZA32mcTihYjdQ+QI69ocWzoaGapX9wD0o2TXpIEx0DR17QG/Jc2FRaLJZJMe5QyNe/WVO4Vmtpah8M3ddMWDhkj9P9dDLiE+HKObh5Gdm8a0pntaCoqYT2FgCtXev3YHIKhlbCzZqNkJapxfqLWEhqdh7Q1fwVVMw6EhvEWxYdKb+lVlbdXTie/6z633r6gva+NTGqlZfqSi1sZaCg1ecFhxNTcQcpWD3Wumvw89PxxrU8ujQ3aGtygAflukS8dc9QBkyK1oFhzjWYxuGYsDMizY2AIKFh+jfjDIHUTKS2SseaXzzh3814ulyLxTJ/mA3bMBsG5J85BeDpC05G0tGmK9UALQ0zLzqdBiIC98uQrnbE6cI4DNLRpv0rym/Duq3D1uJxE8xTC8hcSXOWK3ZWX8ZIwI+cOQ4tTZiNOzDjdGdcDpi8QuTeHUyetp1Xb/jJA3gRmX4hT1omJisf8fRhNu2Ahjq4ckYLVzFQWBLcF3iEkEsfIdUVmOL1mKK1iz2cxSUhBaLjdBk8M2/M5tlmtGd07T5MwWroasfhDkU2bNcMfW8PcvIoatHaidmxf3bHtlgs4yI3Luo9Kr8IM8N6ksG/9+nc16YkJR2Tswrp6YbCeZqf66qQq2cBMMUbMMVrMaVXkLu3MDmrbP+fJYYN4pczXR3QoMVqUnF3+Qbx67dBWARSehnp7VU/d2OQa+f1exWWDFW/S8CPnPq1us1s3IHJWTXpsaWzQx90nE7MrsfVOSQsbNCVWy2pLIC6KEjlXX197/aKD+JNaCjmyWdHvSe9aouK14PZ+fioYlXp6UZOv6c69V2PY2LixhxTSq8gt69DVi5m694x26ekrwc6O4aaqBiHU5tKORwQ8Ntsu8UyD0j5bQj4NZCfQRAvjXXIL/4/Ai1NEJ+ISc3AbNs3ZfMiGHB/OXsCQlw6n8kwKGsAACAASURBVISF66rx5l3zq4d3Ds8hZrAb9dotM354sSwMVuy7nImKUftEZwgmdx61cXOIePvVEqquavT7lXe1uU5tJfR7CLQ0EvjouAZG5beHd+zqhOZ6LRCqLJ/6hFX3oLtDCxEHzmnSsjQA275ftfMWQOUWJitfpUZ5K/f3Is0NyK1rSN84zeoa6/R66veoZnTwM95+tYwbLGCrrhj/2JV3AUGq7qv3+0ypvKvHb2lUbT4Dhbj7D2M27wJrh2qxzDkmrxAcjhndL6Tfg5w5gdQ+gO5OeHAP6e3Rv+GJPuPp0wf92qqBe1en6tLra+bgW0wPk5KO2f0EZtu+OS3Yt8wPc5K2KS0t5dq1a3R0dPDMM8+QkZFBX18fVVVVZGRkEBFhG5LMB8bhxOw9uNjDmBnXLwwE3waefHaoWY7JK9Kq/fQsJMQFp3+tThq1DzCHPzH8+agYcIdqhn46E2p6Fty/ow10RmQ/bAfW8TFb92C27lnsYSwa0u9BTr2nevPm+rHdUFPSVWLj9UBW7vD7Ny4hTQ3QVI9ExYzb+lt8PvD7dfVsy56hotUZkZED1ZW6LD+iC6SJS4QloE+1WB5Fpm1tPJKr55HONm0yGBkF8cla7Jo1STHr1XOaCMDAlt3gcmtmPDk1qPFPB2moQcpvYzJzMTMtuLUsGkEF8T6fj29/+9ucPXt26L2dO3eSkZGBw+Hgb//2b3n++ed56aWXgh6o5RHBDCz+GDPKu90UrNan/rpqzZo7QzTQjkuANRuHG2YYo00k0rM0s75p5+Sni0uEZ14eOKXV8lmmYOR1OY4rkdqiqsRGujq0aDotU+VabjesKsE88TFMdCwS8IMwHKxXV6jtXEr6rPsOmJQM+NinrGOSxbLUMQYTEQmbdmAOPj89D/NBOZzDaCH9LO5d0t4KPV3q3T4wT4jXO2UNj1w+C73dSGMdZOTMLslgWXCCCuL/+7//m/Pnz/PlL3+Z9evX85WvfGVom9vtZvfu3Zw7d84G8RYApLsTcYeqg0Z69lhv6zvXkdIrGujv2Ifp60MSkpH33tJJaeseTGYuEhOnThwxozu1ave7Bsgr1slzABu8W6ZCZTA9kFuI2XdYnWkmyZhJvwc58Y52QM3Kg027VAMfGaMBfEcb8sG72tl170F9mIyOHdCui3rMTzWmqvvQ2a7NxkY4JdkA3mJZBmzcjolPVLeXe3eQrLwx3cXHsH47Jj4ZYuJG3cOmi3R1ICfehkAAU7QOSjYhV88j924haVk4dh6Y+MOx8SrVi44ZN4ERDNLvgYq7EBuvHV0tc0ZQQfzJkyc5fPgwTz31FJ2dnWO2Z2Zm8tFHHwVzCssjhJw5AZ1t6t2+bpxGS54+3a+rA86e1G6ZEVGqQQak5oEu9e09pFZbIyZE6esdaEwRgLbW5Sczsiwa0tyInDsJgPH0agHXiO6D4+LzgVdtS6WvD4fTiYRHIlfOQHwiEhU7bAXXUAtxiVoE++TzWoA6ICObcEztrciFD3VMfb26tG6xWJYNJsSF5BXBL3+MeD1q2xgTqzVH2/aOawVrQkIgd3Kzhknp92htGYCnFxhIUIC6zvj9E2bYzfZ90NYKMbFzn/i6eh6pvq8JuoPP2w7oc0hQQXx7ezt5eXkTbne5XPT19QVzCsujxIiJQa6eQ9pbMOu2YQab5azegDEOpOymNma6eBoio7UTW1cHpqAY8XmR8x+CpxezZY9mN0EzB04n4g1gXO5F+HKWZcuoG9bYm5dcO480N2LWbh5ylTARkbBtn678FKzR/W5f14LVynJ46pOY+CS9oY5wjTKRUUi/h8Cp98DnxWzdO/4NzenUG54Ehru2WiyWZYUxBnGF6AN9Vzv4vYjXi/zyf3Q1euueWd+vpKdbH/QdDnW8CQ3DJCTDxh3qXFe0TsdQvA4pu4nJypswgBcRdaEZcNuSzg4t3E/PHOq3EhSTT7GWIAgqiI+Li6O+vn7C7WVlZaSkpARzCsujxI59cPYDJCwc7t/BGEPg/Ac4tuzGJKdp0c/6rTjCIwgc/V/o74MbFzGHP4GJjAYGGjfVV+vx7t3WCQsgJAQJDVfXjsRxsvwWywSYhCTY+bjKaQaap4jfD+W3EI8HuVuqN+PSK5CUqnUb4eGYzBzIHFHAGhKidRruMExXO47Hnhr/hLUPoFGtYako0+6vD9NYr04WkVFQstHe9yyWZYBUVyCtTRAVg0nNVOeovYehsQ5xu+DCaUxrExIeqfex6grIK5rdyR6U6/0O9DgFqwE1iRiJyS/GTOIyI7euqu1tRg5mm9reypn31Rnn/m3M03Mgh96wAxObAHEJ06sNsEyboIL4Xbt2cezYMZ544gmio6NHbTt37hwnTpzg5ZdfDmqAlkeI2irkznWVzSQkIwi0NCF9PcjazZj81RinE7NqDaapAbl/G9PciHR1DAXxxCdod7Z+LRAcorsb090BMXHq3jGQHbVYpsOgW5HcukqgqUHdX6rvI4EAiGjhakrGqLoN2XcYExY2dFMy2flIYYkul4e4EW8/lN+G6IfcahKS1XXC7x/lmDQSeXAXExYGfh/G47HZeItliSNtLcj5D5DKe+B2QV4xHP4EJiISSc3A3L+DbNkNxoE5fxIcTiQqGjye2XUHT0qDspu6kpg4+2SpVNwFCajcZdPOYQMJeGiVcvYYlwtWTX5Pls4O5Np5XZlcv83W/kyToIL4T3/601y/fp2/+qu/Ys0a/R/0k5/8hB/84AeUlZVRWFjIJz7xiSmOYlkxdHYOt7FP2aia91tXkMZ6OHkMHtyHA0/rkt+W3XDhA13We/dn8IXfHziIgf1HMC63Zu4HiYyC9GxoasDkzzKzYVnRSHcncuuq/hAI6DK1wwHbH8PEJ2LCI5Cr53Rfvx8+OKZyl8K1KrXJyMGx8wm1Rs3OR97+sQb8MfE4PvV/Y2Like4ucIdijrwAIhMupZu8YuT6RUxyKsyiwM1isSwwzhCVwPm94AhTfbpoW0G5fEYz78aBOfRxOPJJpL0FTr+vjQf3HByWlT6E1D7QuSApRQvoBwJrk5gMT30SjOrvZ4spKEbu3MBk5A41izO7n4DaKkjNmPVxZ4J4vciVs9BcjzRqLxdsAey0CCqIDw8P57XXXuPNN9/k9OnTuN1uSktLSUtL4zOf+Qwf//jHcbutPtmimNXr4c41xOfDUVgyLF3o+0i93+sewJWzULIRR1gEfq9X9XNN9VrhX1+txbFOJ7LzgHZb7fcgFz+C6FjMzgO2Y6Vl9oSGaSF1TxcUrcPEJ0JIiGbgBxmo28DhgLIbAEhTnRZaV1dAWpZ+DrRhi7cfWhoRHFB1D7lwWo954OkhdybxeKC3Sx1sAGlt1oeJyEhdhrbuShbLksdEx8C+w5px7vdgRtg0mpAQAiJQcx/50fcwazZBYpL2o4ABGegEQXzZTejpQiq7MIVrtVfK4Dln2HFc2pohPGq021XhWj3uyO8SETVl5nyuEG8/8utfaFMsnw+Tnj3qO1omJ+iIx+1289JLL1kbScu4SE+XNs/x+7UL3AtfhJ5u5MoZ5NJHsHkP5oln4epZpKUJHpQjnj7dd/cT2gCqsEQ1ya3NgCD9fZhfvYmER6gkwenUSvz2lqCWFS0rE/F6kdPvaTfgTdsxUbFqF4lm3KXirt5UWhu1oVNqhi75GoM01mLWbFJnpO5ObSz2zMsaeG/eBVfPYbILcMTEIvdvAwI+rwb9UTGquf/1W3r9Fq3DlGxSrWtvt/7XVAeZuZN/AYvFsiQwCUlaY/MQUrIFqu5DY73OG53tmOc+CykZgAwltMY9Znq26uzjEoNalZObl1XOGhqujRbdE0t45G4pUnoFk56F2bp31uec1rjqqjSAj4mFmATMvsOzkxetUGza0jK/1FVrcANa7Z6SjrzxA7h1VbMQ9+5gnv8s7H8K+t5QKYJTL0vHzgPIlj3D2Yb8Iuhow/T3I831GEDCwjGePg2y5qKK3rLyaGuG1iYATM0DzPaRnVgvErhyTotR3aGQlALnTkJOAWbzLhwlzwAgA9fs4LUL4NiyG1m/bfj6XVUCPV1qLTfYMdjTM2wF196iBawZOfDgnr4Xn2iLWi2WZY6pe6BNmLo69CE+JQ0THg5Zuci1C9qpddu+cVfdTGEJ5BbqCt5D28Xn04f9qJgpV+ykrUVfeHqhr1fns4n2vX8H/D7tVbF+26QBfzBITzdcPqN2vT29OA7ssgH8DAkqiP+nf/qnSbcbY3C5XCQmJrJ+/XqKiqxWecWRmgnltyDgV337hQ91AvF5QVBXme4uzK2rWuSXlKpaedTfVi6fQWITMLsex4RFYHY9rttuXUPamjGJKciNSxrId3dO7e9tsTxMXKL+19WBZOWPCprl3m24WwrOAbvH3h4tegUYsM+Vvh7NkBkHZvveUTdT43KNyGpl49j95KhTm5h4WL1Rr+WSjfpeUiqBhGRMY63Kyx76jMViWT5I1T0CpVd09S0uQXXzBWswaVkEjr+tktCaSl2Fixw2CBER5NwH0FCDWbeFh11nJBBATh6FjlZMzirYvEutIicI5s3azchNg4lPGlppnAiTWzg0Z81XAA/onBoQTHKqyo/GWcWwTE5QQfz169fp7++no0Ob8URGRiIi9PT0ABATE0MgEKCrqwuALVu28Gd/9mdWJ7+SqKvSwCcmFqmp0Aks4IeBhjpm1RpwhiB3bwJa0DKYuZSKu6opHtQcD2iNQfX1Bl0iBNEMfluzDeItM8a4XJgDTyOV5ci5EwTiEjF7DqoO1e/T667fA1v3qrSlt1tvbAOWbpRe1escoKd71I0YRma17sH6rWNuioPX8qj3Bq3jmhvn4RtbLJaFQq5ewPi8SGqmNij0+aC7C/F4MNkFmqFPTIbwiNEf7O2BWm3UJPfLMHlFWj8zKBv1+6CjVbc3N8Lls0hFGRQUY9ZvGzMOExuvBavTwBSW6ArAPGMio2HnY9DWApPYYFomJqgg/pVXXuG1117jpZde4tlnnx2ymezs7OTnP/85J06c4Ktf/SoxMTH87Gc/4yc/+Qk/+tGP+I3f+I05Gbxl6SMPytW+qqFOA/LQUFizEeprMP0eTJ5KZALdnfpEPqLxjckpQFoa1TZyosxBfrFKbEJCIDNvQb6T5dFEHtxTV5qWRu0SHBGlVpBxCbB1L46IKAJXzmC6u5DHn8ExWEQ92MOgu0ubkj1kG2lyV43KakkgMKV9mtm4A6ko0wybxWJZdgT8PkzNA5V8ej3abdztJnDvNnh6EQRHfhGSk4/DOToUExEtQo2Jg65OzYwH/MiJt7XwPj0bx47HYO0WpK4KU7QOOXMcEKSyfNwgfqli0rIgLWuxh7FsCSqI//73v8+mTZv47Gc/O+r96OhoPve5z9HW1sb3vvc9XnnlFT73uc9RU1PDqVOnbBA/C0QEblzSZfd1W4acLJY6Jn81cu083L2sjh65qzDOEKTqnlpr3butf8QOp0oWOtuHilNNZi74vMjls8iH78LeQ2M6zpmw8CGJjSV4pLYKKbuhN5zBTPMKweQXIZ1tEJ+kRaetLerD7PViWpt16be+FmlvhhPvIC/8hjZzKVqL9HTBneuqbQ2LwKQP35RGuj/I7WtI6RUkNVPdlCZa+s7Ox2TnL8j3tlgs00MCAbh6HunuwGzYjhnsGP7wfmU3kPffRvo9WuOy8zFMaoZm38tvISEuzNVzSEgIVJYj+cWYDduHD3DnOgz0ozAHnsbExiNer2bnQbX1PJQxX7UGqbiLKbAZ7ZVEUG76paWlFBRMXFVdUFDArVu3hn5et24dra2twZxy5dLeopKT5gb1nl4CiKcPKbuprjITYHJX6RJeaKjaRXa0qatMZLQG65HR2n4+PEKb23i9o89RdR8QLTwcLJC1zBty7Ty0NiHXLmjR1COAVFciFWV6A54Ek5GD45mXcex6XFuQN9QMXI+ikq6idRAXP5yhH/H7MVExwzIZb//EY3lwX1/UV2vDMovFsnxoqkcq7kBTPdy+PvS2BAJIQ40WagJSUQ4BH3S1qzNbaDjG4dTeSeGRajnZ10vg8jl1cBsoZB/C0zd4YJXyMSD727JbteObdo0Zmlm7GcfHXsas3jAvX92yNAkqEx8WFkZpaSlPPTV+e/EbN24QOqLS2OPxEBYWFswpVy4RURAWAX09mISlYaMoF09BQ606chx5YdwCGBHRiS2vWPV76dnq9BEVg9myS9tBOxyYvl7V+BWsRro61KovOR2TX4x0dWqXS+sdO++YxGSkqlslJA+teixHpK4aOX8SAOP1wjR0ntLWDJ0davtWtE6zXnsPY0LDMFl5SEebWpuOtHvLL8IM2p2OyKBLc6O6MmXnYeISMYVrVFqTlmVdGCyW5UZ0rLq69HtG+7pfPa/BvSsUDj2vDZR6uzFp2XqfGyjYNGERsOMxaGmAjnbE59XXJZtHn2f1Bk0kRESOkueZrDzIyht3aHLvtppGFK6dsX/8ZEhXh0oM07MnbE5nWTyCCuL379/PW2+9RWRkJM888wxpaXqx1dXV8Ytf/IJTp07x7LPPDu1/7do1srKs9mk2GHcoPPkceHqHmsQsOjL4rwy/fpj7d9Qr2+nAPPvpgYmmR4tacwuH5TEjGksELp7WzPv9O5inPonj6U/qaeqqCQx2rttom+DMC1v2YIrWQUTUI/L7lQleT7B3d5c6PgQCmPxiHC8+JP3zejEp6YDRTPxgMxeHE4rXjT6WCHLmfc3M1z7APPWiXvO5haP24dJHSGsTZv22gWNbLJaliAmPgIPP6zwwon5LBleJvR7w9mPyi3FOUKhp0jLVYvbCKUhOhZR0NXgYuY87FNZtmfa4pKFmqJu0CQRGfVaqKzVxkJKO2TAzrbz4fMiJo/q9qisxe6xT1lIjqCD+C1/4Am1tbbzzzju88847Qzd9GWg1vGfPniH9e39/P8XFxRQXW73WbDEul3YpXSKYLbuhshwSUybOKo6UFnj7Meu2QohLg/iJfN0HM/ohLtXRDyB3rkN3h+oRV62xmfl5wBij2aZHBJOWBVv3qCwmdxpFon6fFrfCuLIYs2knlJfqjXeKTLoxBnGHDhR0T7AC2dGmxd+ojtYG8RbL0sa4Q8d4rJsN21XHnpisjivTYcM2TEwsxMQHn5hzhaJ6VRkzNrlzTe+b9zqgqERXA6aLBHROhEllgpbFI6gg3uVy8ad/+qe88MILXLx4kcZGtUNLTk5my5Yt5OXlDe3rdrv51Kc+Nenx7ty5w3/8x3/gcDgoKCjgt37rt3jjjTc4e/YsycnJ/OEf/iEhISEL8t5SQhpqofIuZOVpULJEMGHhY7KPg8jdUg1QCteqfV6IS5fjjNGgarzP9PUiNy4hDoPZuFO9Y0OGH1pMepZ2rotNgPDZd66zTIzUVKr8I68Ik5S62MOZE0zWDApEG+tUupaYrDaoDx9rwKlmukh2Ady8DBPpVCOj1IGio21J/W1bLJZh5JYGwqzZhBmna6qJjhm6r0lDLVTdg+yCMU5Vo3A6VZZTX4MkJI26182YuATYuF2lrQ/JbUx6tkoA45PAPTM5s3G5YdfjKpvNK5z6A5YFx/n1r3/967P5oNfr5eTJk/h8PgoKCigpKWHbtm1s27aNkpIS4uImbyYw7mCcTg4fPszhw4c5fvw4MTExnDhxgq997WvU1tbS3t5ObGwsP//5z+f1vezs7EnH2dm5sAWWcvIoUl+NXDwN0XEqJ1kkxOeF29eR9hYkLnFcyYW0NiPnTmoTCq9Hq/jjk6aWZ1y/hJz+Fdy6Bk31qhuOHc7Wm4RkyC/G5BePcamxKNHR0bO+PiXgR46/rZ78FXfVvzjgx8QuT+99aW+Fsht6YwsNm9LWUdpakHMnNOMUGYNjklbo0yHg6YP/919UUlZdgWP7vjH7GIcTclZhVq15ZB6aJuLha1N+9oOgjuf4xOeDHZLFMsREc6c01RN47y2Vgvq8o+RwQ/sEAjDQaEne/yW0taj1owi0NEH8OPfKynLtc9LWjHG6MIlB3NcvfaQrAd2daiZhhuc6k5Q6fN+cYg4cDxMZpVKc+eraWnkX6mshNmFW41sJDNq3j8esU84ul4t/+Zd/4bd/+7cpLJybJ7SRgb/D4aCiooK1a9WabePGjZw8eZLQ0NB5f2/PntGZ4mPHjnHs2DEAXn/9dZKSFrarWG9aBn0PygHB9aCM8HUbcS5SUyPP5bN0vfNT/PXVhG7YRvSX/xTHQ1nxQHgYvTGxiM+LKz2T0Gn+vvozMun2+/D3e3A01eG6eZGIzCycVmKwMBiHZqG7OpCmBozDgdTXQEZOcFmiRSJw9oTe2GqroaAYx/b9mPVbJ/5AaJgG/H4fJnKOVnramrXYrL4a8fRhxpHVGIcDHLZgzGJZiojDAY212u+kvnrs9rZm5NR7Kv3cexgio7U4vvw2gZuXITkNhzsUclep45fPq6vYEVEMSWCmK8GZaIxtzfqis11rddwPWTHPZ9fVIJCGGuTSRwAYvw9KNi3yiJYfQelGMjMzaWtrm6uxDFFRUUFnZyeRkZE4Bp7MIiIi6Orqoru7m/Dw8Hl972EGVwcGaWqa2FJxPpB125CeXqSuCq8/QG93L8Y3v2MYryGNBPwELp+De7fB76Ovspz+26Xq5/7w53ccgJ5uepNSMdP9fSVnEDj4ceTyWfy+fnx9HvraOzCOmQWQEvAPdc58NIozp09GRsasP2uMgf1HoL0Vym+pDWJ0jAa2S5Apmya1t8D9Mi2krqtGqu9PGsSb8Ah44lm1Mp1sGXyaOELD8G/Zoxr6jFyYo2txJV/fFstCY2ITkLWboaMNR9HasTvU1wzrxRtrYeMOvUe2tUBvlz7Iu90qFz3+tj7Ub96pjdwOPK1F9AnBJQbN+m3InRuY9KwlG7CPi3PEvX2J3mcWGunrAeOctntZUL+1l19+mX/7t39j586d5OTkBHOoIbq6uvje977HV77yFcrLy2lpaQGgp6eHyMhIIiMj5/29pYT4/dDcqP6wvT1qOTXP1nRytxS5fhFJSsXsfmI4ULp8FmqrBgpnQiElE0lIUj/tuMRRk4eJjJ5VdsGxdjOyZiNUV0BYOCZ+Zk2tRAT54F1obcLkFMDm3TMew0rGuEO1GLNwDaZorcq3lligKB6POsj09cCO/ZiUsQ8ucu8OdHVqdiw6FsIjMIVrB9qWN0NCinb5fQgTGaU69TnC8dyn9VpOSJqzm6t8+CtoaVS7uRno8y0Wy8wxTidm217weMa3d8zKg5oH4HQgsfHw4buabY+ORfp6gYH5yOHUOQu09iZnldbYzMUYk9Mm199PE4036rXYNix8DkY2OSYxGfYcBE+vJjpWONJQg3x0XO9b+4+MkhNPRFBB/LVr14iNjeUv//IvWb16NampqbjdY5eFf+d3fmdax/P7/fzjP/4jX/ziF4mLi2PVqlW8/fbbvPDCC1y9epWioqIFeW8pIRc+VF/18EjMoedVQzvf53xwj6EGN309EBGlgVN3J8Qn6OSzfitm1+PI+Q8I1Neo3OL5zwyNT0Q0eHG5Makzyw5LR5sWA4rArsdnNtH5fWpPiWoZl1b4ufSRxjpdGkZg2z6tQ1hqtDZqkRlAdSU8FMSL3490tEJsPOQWYrLyMAee1i6sv3pT25Ynp6utaWzCuA/F0t6q11FmblDeyMblhjydU6StRR8+wsIxew+NWyA3FeL3q8YWe31bLAuBVJTB5TMqN4yOhYcTS+GRmL0HMaFhSEsT4vdhjMHkFWpDw/YWvZdu2I7Jylff9VWT96uQvl5whgTl9y5er85h8UmjjiNtzUhTvTrLeTyYHfuH6nHkwimorVTjiIPPL0jt2Vw8fDwyNDcOOAIFdAVnvoP4o0ePDr0uLS2ltLR03P2mG8SfOnWKsrIy/vM//xNQC8uSkhJeffVVkpKSeO655wgJCZn395YUg/6zfb3aYGYBgnhTsBq5cRGTnA7hkQOZ+QvaQtrhxBx8DseAdi1QUQY3LiMuN2RkY7bv14OU30KuX9DXu5+c0jpPenvg5mWk34Ncv6hSjlUlmJpKrbyf7thDXLB2C1JTqZlky8zo6WbIT717rLRsSZCYqs2/erohZ7RtpPT1Iife0RulOxSTVwTb92Ni4lSPOtC2XK5f1OJrlwvz+d/HETtcjyP9A5l+vw8aajE7D8x4iFJXBVX39YF34NqXsyeQy2e022t+EWaKG/l4GKcT1m1BqivGeEtbLJZ5YPAeLAHo7R4VxEvArz7q7S1IerY6smF0laxkE6apnsD5DzAC9Pdhtu6Z8sFbqiuR8x+A2w0HnsZETG9lUDweaKyBpFRMWATy4bv6ABGfhHlMG3JKXw9y8hjS3gJdHZj0bHXSGSyqH/yuvT06/81jEC8NNfogkZWv3vkWTfi0t6jMaJorE0YGTd0t06ampmbBzhVoqocr5yC/GEf+4qwSBD58V22zym5qUJKchuNJbeLl/+/vwbmTqvfdfwTnxz8HgNy+hpReAcDseEwnCwa6v7W3QlrWqKd8uXQaqSxH6qrVzqqnC9KycPxffzxnS44rgYyMjKCuTwn4ofSKPlSlZ6tD0DJyDJCGWuT0e/pDc6NaRbrcmGdeVueI6kqoqyJw85KucPX3Q14hji27MQOWktLXixz7X/WLT0rDsffgxOdrbtSl8xGrTSKCvPUjvQmGhuF4+iUA/P/z73DuA/1b+dzv4dw4s8Yry52Hr03///lEUMdz/usbwQ7JYhliorkz0NEGl05rcLxm06j5UHq6kGNv6DzQUAMZuZjYOMyeg0MZ5sDR/9Xgf8Q8NBHS04Wc/jXS0YpxOEfdO6cicFxdcYiIwnH4EwR+/t86B7lDcTzz8ojx/gzxe6GjHZOSMToT39YMd29BaoY+iMwjgV/8jzaRcobgeO4z83qu5c5ktW62kmAJI54+5PyH0NeDKb+F5BUuij7ZFK1D+vowiSlI2FbFKQAAIABJREFUaJhmCAa35a5Cbl/VFYKRGrpVJTrZudzDAXy/BznxjjZ9eljPO9jsIj5RswCJybBhx1AAL4EAXDmLdLZjNu6YllbMMnOMw0kgNRM5eRRTXQG5hbBp52IPa/okpmAycpCuTs14e/s12z7wd2MycyAzB5OWgfzyxypNcYYgZTchfzUmPEK1oDsfh+aGISnMeEhTvWa7QDsID+xrjEGiYjSjMqKJiykoUR/+sAhM1Ihuj82NyPULmPgkWL91ydUgWCwrFe1Y+g50tmMiosckNExEFJJXBPfuQEKS6skzckbLIFzu4SB+sgB+4FzS0Q49XZh1W8ZIBSfF49F/+z2IiK6KD/jVjxwvOw9g2prVdvIhtywTlwjbFqjOJioaWj1qnrBEkY5W5PJZ7QOwceeSTGjZIH6JIl4v8v4v4OYlLbRzOnU5zyy8P7pJTsN58DmkuwvT3KAtowe3bdurgXVPF2bESoFxOqHwITmL36+dM0EfCkaeo3AtxCdrANXWrFq+ghFygeYG9ZMFtQ0clO1Y5hSprdLCrPJbSHae+g4v9qBmgHE6VT6DPgRTXzOu04wjMw/50v+D3LwEd0tVsjVCG29S0mEqa1NP34jXntHj2HtIr+MRS+9m03a1rhRGNU6RW1ehrRlpa9ZibPuAarEsCaSnC25dBb8PwcA4vR4cG3cQ6OpU3XtWvppQjAjWze4ndHV5Ku23BDTBFRoKqenD0tRpYnbshwf31BLYGEjN0P8e3i8tc9Q9fLEwe56E1maIm5l5xYJy5wa0NiGtTZjMvDlxLZtrgg7ir1y5ws9+9jPKy8vp7u5mPHXOD3/4w2BPs/LwelQHn5aF8fsw2/ZPWNQqItDfP++uNeM5d5gQF46Dz+n5p6hmN+ERsG0ftDSMDtAHtycOFFFGRsGAbaUMNNAgOlYz/X29S/IP6ZGhsx1cLkjNxMQlajvxGSIeD7gnzzotBCY0DCZp2GQcDsy6rciqNeCeuhnUGDJyMD3d4PPCqtWjj+1yjblOjcMJxeuHfh68tk1yGtI00Cl2mvpXi8WyAAT8Wpza14NJnfih3ux+QjXvYRFjt4WFTzoPDe3ncsP2x9SmcpIVwAk/H5e4tAPihzAhY+fIuWQodgiGpDQ16AgN1xhkCRJUEH/u3Dm+9a1vkZGRwZ49ezh69Cj79umT6tmzZ8nIyGD79pkHAZaBZa8NO7RzafG6SeUjcvrX+oefvxqzYf50ttLXq1nwqNjRWfeHpTSTMChnmA6Bqgrk6E/VVvPFL2IOPg9erz4MWOaH/GJMbzcm3wElm8e1YZwMuXYBKS/VyW/Pk4seyA8izQ1aaJqVN6Yz4ng33ulgjIFZFk9L7QMCZ0/qsvnGHeoEERYx49+3xWKZH6SvF86eBMDkr8Zsf2zCfY3DobU0t65pLdEsGxQulSz5YiFN9eo4lp0/a+98CQSQM+9DQx2s2xKUAYDJXaUrsi7Xkm14GNQd4yc/+Ql5eXl84xvfoLu7m6NHj3Lw4EHWr19PfX09r7zyCunpttvmbDH5RaOC5fEQn08DeDQwmM8gnhuXkKp7+jo2PugGFSMRj0fbWotgcgo063/ptC5RApRewWzaCUv0D+lRwbhcQWngpe6Bvmiq086BQVikzSVy9gT0e6D2AWagyGvBzi2ifzctTZjsfExCMlJ1X/WzTfWICI7oWEz20tWGWiwrjvZW6O3GxCdiklJUFz0Jcv5DdXepug8fe3lB7KCng/i8qtmPiNIk2hJFRJAzx3Vls6EGc+SF2R2nq11jifBIeFAetIvXUk8aBqXSr6ioYP/+/TidzqHOqn6/H4DU1FSeeuopfvrTnwY/SsuEmJAQTPF67d64ZsP8nmzwYnY4RumH54SrZ5EPjyFv/hdy9KfIoH1giAvCoyA5dW7PZ5kXTPEGvRaL1gXlcTznDK4ULUADkzHcvIz89D+RY28QOP424vNhcguH5TPhEfBQgZnFYllkElMgLQui46Bg9dT7D84toaHqKb9UKL2C3LyEnD+JtDQu9mgmxBgzPA8GMR/KuQ+how3qqjHT+f+2zAkqE+9yuYaaO4WF6S+9vb19aHtCQgJ1dXXBnMIyDcyajZg1G+f/RGs2agfViCjtyDqXOJxq92e0oY3p68WxcTuSngUOxxgJhGVpYnIKtDhziWH2HIKm+mE/5AVEujvVVjLgh4CAMZiUdJyf/R21bnWGDNeDWCyWJYEJCZlRjwiz84BKOBKTloyMEBjRW8YsSJ+ZYDD7Dqsr2Cy18iKC6emC9GxtqvdQH5FHkaCC+LS0NKqrq/VAISFkZWVx5swZDhzQC//cuXPEx1unhblAfF692S/i5GCM0czEfLBxOyY8EmmoxsQnDzV4st3clhbi9ULI4l6Hs8GEhk67FmPOz712i3Yf7uvFbN411B9BentUlmaz8BbLkkJEwOeb0WqicbkXbY4Rn1fnl6hxJD9rNmjSLSJyyfdcMWHhQ6YWs/q8GXAQqq4Y0wjwUSWoIH7z5s0cO3aM3/zN3yQkJIRnn32W73znO/zJn/wJAPX19Xzxi1+ck4GuNMTbr/pwdyhy+zpSelm7VO49uGS0dsEigQBcPYf0dGM2bMNRspFAWzPcv430dmN2Pb7YQ1zRSF8PuEKHg85bV9UOMSkV9hxcdoH8YiA3LyMtTZiSjZiE4Wy71FWrTt/hgMeOYGJsssNiWQqICPLRr6GhFslZhVm/bUkXnIvPi7z/S9XjF63DDHRTH8Q4nJA7NqCdaG5a7pi0rPlLNi5BgroyX375ZZ599lmcAzf5Q4cOERoayqlTp3A4HLz88ss8/rgNxGaKtLUQOP62FgfufhLToIWrtDSqxeI82tBJTzeEho3qpjpvNNQiFWX6uuwGbN6tS2kw/K9lUZC7pQSunddmSeu34ShYjVRX6MamevVIXwx9+QRIX6+uECyhwmfp7EDuXNfXNy/rUvEgLY3qC+0PaJdFG8RbLEsDnxepr4HaKnVja6pD1m7BuNxDK8MLep+cit5eDeBRF67ppFZGz01XMPsOzeMALfNJUEF8SEgI0dGjtdH79+9n/35tUtDR0UFFRQW5ubNfHlmRtDRqg4naB9p051O/jfH1Y5LTteJ6nhjKtEbHwmNPz3/2ISYWXKHqiT+QCTAbtyMVdzGz8Mm1zB3SUAuNdVB+Cy6fJbB+K459h5DSK5jUzCl7AiwkUnUfuXBKC8oeexoTMX9/IzMiPFwfuHu6xma68ouho1WX4DOWrmOExbLiMAaaGqCiDCJjkOpKaGqEiAhtMtjVqSvjkTHw+NOLnjgw0TFQtE4D+JLN0/tQWDhEREJP95y6zFkWnnmN0o4dO8YPf/hD2+xpEuT2deho1aLRAT2buEM1kPd6oacbrp2Hzbsgp2BeJQwymPHvbIe+nlEt4+cD8/+zd+fBdd3Xgee/v7dh3xcCIAlwBUlw30SKokTKkmVJXmLZ7WRiOy67HVfFaXe5MpVKpsqjuKxU0ulKOelkpivTk3TbPe3utJx2eZdtiZItUQspivsOgiAJYt/XB7ztnvnjgOBOAuTFfj5VLD685d7fIy/eO/d3z++czGz40McgGR9bKOsql8+LxSgzgbQ2Ig31uhj11suPK9fC+2/p8ReOwKVaZNkqqKhC0jL0C65y+cxIqelsBUSvDvT36JfTDOBCYdjznDaKuaVRiMvIxO18cppGZoy5Gzn2PtSeguiglsgtLAbP0wdjMaRjtFjHUL9+PubmT99gR7k1GyfUWduFw7Dnec2jv0/pTDOzzdxEr3lAerv0jB504dvCKuToAT3zX7JSU0wiadB0BRkeguYruGde8H8cXgpOHoHYCJKRRaCi8s4LZCaBS0vzv1ylGRc5egAScaSzDff8Z/S+pgbkxCFEPF2kNTSgKTWFJUhD/dhlW/ILcS4wrk6Ek0lariLdXYhAYNESKJlZfSlcOAzhmdnpzxhzOzl7XEsUeintdbFhO/zml0hGJiyqxOXkImcSkJ2vzZ2CAVi/fWaV1B0H/WyaXWM2t7MgfjqlZ0A4DenpgOgg8u4bcPGcNpnIzoHKFXppb6AHutqQhyhDJ92deOeOQUYWbt1WAuHI9QdbmvAuntWGENnZyCN7JnRWb2apnDzo7kAyMpHLFzRQP3oAuXReg/VIhs4yFRTDum3wwVswNKTPa2tGzp/ELVoy1iPCLxKLwanDiJdClq8mkFtw19Qu2fcT7fKXnYtsegTneTAT8lSNMbNT5VI4GIRUSj8Hf/G/YGhQZ+NrT+HWbsU98SxSewo5dwIBrag22phROtuQujPa6dMTSM8ksKgKSSamLfVGUildSD/Yh9u0EzcNpXbN5LAgfhq59Exk7SZ479dw7qRenuvp0AZH2bmaK15eCZcvaBez6BDeM58ikH19HYI0XoJYDJasvOMiG+nvhYwsXaR45F1oa0HeeR3vhS8QuFYOKzdPF9e1N8NwLrz3OkxxV0sz9dzOvfr/fu4EcuIQRIeQ+Ai0NUFeAWRl6clkdg6uqwXJyoGsHF2Mef4k1J1FooPwW5+74/YlmdBjNzMbd5+8bxk9vsnJg8sX8C6fh0t1sO8neOWVBJ75LZ1lv6W8pQwNaCfWq5fg+PtIeytu+24//5mMMfNJcRkEQyAj+pl0/jTk5UNuAdLXP/Y0yc1HBFwwoI8DEo/hHXobl4ghRw7AYD84SK1ciwsEYNV63KpJbsp4J90d+v0OyKULFsTPIRbETzMXDENGJtLTpZ1Jg6HR3N5eKCrRajQDfVrJIplA6s/Dhm0ASHuzLugDXDIBt3w4yOmjyMWzSDAErU3Q3AA4vf3K95FnXsBVLdd83T0f0cU8ATcjcvzM5HOhMBQv0JrIoDNPOfl6HHW06hdQWxPkFSKPfwQ3OFoB4dxJGOgHBI4dRJatxq3fevsOzp3Q4xVg9zN3XUAlXgrZ/yoM9OGqVuqJwfnTuo+cXBgZQo4ehFQC8ovgsafHTljd9ieQ8ydgdGwk4n7+Exlj5pvujps/R0aikJ4ODfWQnqETb+EInDiE81KwaQeusASJjSC/+QU0XESupYiORPWzaWQE2bAVmq5MTxCfX6gTg0ODuIrFU79/M2kmHMTX1dWN+7ldXV0T3fz8U7EYl9iOrKiB4wfhar2m0KRnQNUKOHtMZ+YTccjOJRAfuf7aG1s736HN81iL5Y4WnVktrYCuNkhLQ/IKkKYrBBYvxQUCBJevwfudf62VNFbUTPKbNjOJ27JLv3iKFxAYGsDr7YYDv9GTvlQSsnNxgQCybiuu8TLEhjVlJZmEojKktfHOQfxYmo3Tk8O7icf1RBU0tczzYGWNlhlNeTAcRTpbtVtwb5deMcjKAoHA1l3Ixkf0uV1tsKTa738eY8x8snzN9e9cgIIi/X5NS4PBPqSzFYnH4cIZLTPZ1w0s1/VEPR1QthCXV4BseQz+v/9Lg+fMLAiGp+271YUj8ORHwfNmRllM45sJB/Hf+MY3JmMc84p4Hlw4jVyqxS1ZiVu9AVd7Gmltvr6Q0AXhzFG4Ug/xEcBpLnLVyrF8dVdSBo88oek0i5feth9Xs1lLAi5ZCS2NOsOZW6iLaMMRXOMl5LU+bTaTmU2gasUU/iuY6SSeB3VnkPrzWhGoZpMeVyVluN/8QtOwBnq1TXftKaSwCEZiSHo69HRpelcgCN3tSFs+3nCUQEbmzTtZtUErEGVm4/KL7joWl54BNZuRtmZc9Vq9hJ1I4KrX4Z08DC0N0NyA5BUSWLIcQeC1H+tJxM4ncUUlsKBC/xhjzMN44+c6g35NZzus3wrDUS0+ceKwztZ7nlawySvUijWnDsPgIGTl4rY8SiA3D3nhC8jpw7iiBbDl0envuG4B/Jwz4SD+q1/96mSMY96QurPImWNIYz2Ewtcr0bz2Q2ht1AA7FNaV8a3NGixd09KAHHkHPvKpsbtuKw14A1dUMtbEQWo26+LF/h5cUanWqW64qLOqXR2T2kDKzBwSiyHvvKaBcnQIQZD9r+KycnCLl8LQAHL0Pejp1NSurFxN5epogfZWyMrW4Dkc0S+xnk441ov0dCEv/B5u0ZKxfblgUI/tcXAr1uBWrLn+87UOgxfP6t95hQS27cItWgpX6pDY6BWptiZNOzPGGD/Undbv4WvEg4IiAl/7P/F+9QNdRxQMQmk5Lr8IV7ZQPx8RXGkZrnrdWAdmt7ASt9D6QJjJM+Egfu/evZMwjPlBPA/v0H5NmenvhUi65vn+07c13y4R1zQaQVNqEF1cODioHySxGNTXIqnUuC+JiYhW7zh3AjZuxwGuagVk5ehi1/5eZPOj2Pn5/CCdbZqn3t2lx1oqARlZyE//GSkp0ys67a3aoyC3QBdshdOg8Qpk5kB/P+QXwMAApEUgkYToALQ2IcfevymIfxjeyDCc/EAXsy5YpLPtFdo0TjKykd5uTdERIBbTUqXGGPOwgrdUkHEBCITwfvo/tYMr4DbvhG27cRmZEAwi5ZVQPQhtjUhWztjVcqk9remG1WvvOeE21cRLwakjWhRg3RZceub9X2RmJFvYOpWu1OmCwdYmzTX2ejQlIeXposL4iOYHZ2aNprykwbotOvt54E09+y9bOP4APjqEvP0aUncWCotwmdm4Jz+Ky8nD6+nUcYgHb/4CPv+Hk/zmzYzQ26X5473dutgpGtVLw0OD+vfggC4m7evRk8bWZsjI1OMTNHBevwOCYQKPfxjvpy9rY5SMDO1o+JBEBDn4JlJ7CpIJXPEC3Mq1uNUbrj/p4lldfH3xHHLmCPR14XZZ23BjjA9uXb8TDGlqa16Bfl8Wl+FWbcDl5iMtjcjht7UoxaIl+rl55B0kHIb8orE+MHLm2IwK4mlp1CvzaJU81m2Z5gGZB+VvgWdzb8EgRCIaEInTGrLJhC7q85J6fyKmwVNOjnaKG+iD4WFYVAVLVuCe/Vfj3p1cuYBcOK3Vbgb6tTzgWN6yG2v04Ebvk4aLSN0Z5FrAZuYcl5YGVSshLV3TqPRePWns64GWq/plFQxCLKpBf3uzpngVl2jJ0852Tfe6dAFqNkH5Yl2vsWqD5to/jHgcuXgWujuho00XxxaV3vwe8gp0vMGgjuuW41VSKT2OGy4+3FiMMfNP0S3lF5Nx/RxMJaGwFJaswLtci1y5qIv/PQ/pbNE02XhMX5NK6vdrfiHAzCvpmJOrE4igV1bNrGUz8VOpokpL+FWv1Vnw6KDOvMdjGqx4ngYniTgkUtcbTFy9pDOPyQSu9arms9+FJBIwPKj76WzX1zsHez8KS1borAIQKCjCe+EL0N4C67cirU3IsYNIysN1dSAbHsE1X9HKJLZgcO5YvgY8IDECIyMaKBcUaW77YL8u6Lrar+k0ydHqDPG45tCPjEB6pi6+zhrtPdDeqiecwRC89QukasWEZ8UlmdRt5uTh0tJw8Zh2jC1bCE994vpJ5mieqqvZRKBiMTI8jOvtgsrlN2+w7gxy/qS+JhDEpaVrwyrn9GpYZtbMmhUzxswcBXdYhO8CsHoDPPkxOPA6dLbhNV6B5av1u7u7C0oW6Hf65kehfLEuJH3swzASxWXl3L7NaeRyC+BDH9OYwkpKz2oWxE8Rr/kq8pP/oTPrlcu0ruyl89B8dfQJozOYwZBesuvr0tvhsDZjSiZgyQqt4HGXIN6rr0V+/j8hFMHt/rCWtlq8VCuEFBXDGz/Tyh6PfgiXm0+gchlULgNArqXoNF5C+rpw9eeRrGzAwZ5ndfbTzHrS2QpvvgKdbbBkJYHdH0byi5Bf/kDzPYejOrOdlq4pMj1dEArpyeVgv5ZVy8gczRN1UDj6hRdOg0gadLaNuzOhxEbw3n0Dzh2HwhICK2tgyy6oXg+tjbiyhWMVb2SgH3n3dUDg0Sd1QVk+UH6HYHx0hkkEbXAGuggtN19TywB2fxhXaAtijTG3GE0zGeOcpgoODeHefhVpb9HO6sND+mfREtySlUjtSXBB/ZyqPQUbH9EmdzMsgL/GZWZN9xCMDyyInyonD2nJPtAyVR1toykBIU0JQCDudAY0LQ3SMrRt89Lq0SZNQCqJW3n3OrNy8aw2h2IYOXkYl52tAdjuD8OlWg3gsrJ1Ee3KtRAOI6kkLhjUcpU79iJDg9DbrVVzFlZCbiHTVxTL+O7UUb00HArBggrcmo1w+iiSm6cLXRMJPR4LijVAF4H+Pl2v0d2hr8srhGXVuMXLoekykpsPjZeh6Qps3T3+1uKdbXqyOjiglZq6O2Ekigz06uXoG7u8tjcjfd36O9DapN0ThwYgPRMXDGoaj5fSk4vlq7VsZSgEh9/RE+T6Wm0qlUzq78Bw1I5rY8ztOlpu/jmSoVcgL9dqrnvWaDf1RFybNy1eBrs+BJ2tEAhBRzPkFSBXLt7WqVq6O/V5i5eNXWE05mFYED8FZLAfySvUajSxEW3rnFsA772hgUZ5pVbhOPQmpKdBehasWIP78G/hFlQgr/9UN5RfqOUh7yKwogav+Yp+kKSl6axjOIIM9eMu1Wp6TU83kkjqosBEHM6fRErLCXzy87gFFbhtu5HXf6Lja2/BZedqcGdmPfFSSF6BzpqHw1BUqiVPFy/VGfcj74ED8vJx//tLMNCLfO//gXhC02xCESgpwm17DLfzSf0S2rwDabyM9HZBdg4uL38sL94F7rPkpqgUl1uAVFThiktx67bqCUN0UMutvvFz5FNFuIIiJDNLU9A8D4nHkBPva/vw3AJkxx7k7df0RDkjG/fk8wTWbMQBsmUXNDfg1Z+DSLZuNxyBoweQ7Fy7wmSMuVlOnq4PuiYxoimvne2AaGprPKaTHYUluJ17cFk5yFMf18/CohKdbBi9yn2NJBLIe2/oBEV7i14tN+YhWRA/yWRkGHnrVzrDea2u9g++C89+CipHy/l1tmrZyWvPiaTD6vUElq3SjVSvQ86fRJob8fa/itv11B0r1LilKwkuXYk0XcH7+ff1hCE3Hy7XIW1NUFoGV7Q2vBSV6iLG/l79ue4srqQMt3QlrN6AnDkOCxZpisRwVNMrzOx28rA2+FqyQq/EvPIveL1dsGw1gc9/Fe/YAU33Ss/US8KNl/XYjA3rrFN0EIpKkAtnkRU1BK81GCtbhFu0RIPrknJ49Yda+nHXh+4ZJLv0DNyHPnbTfV5vt+bp9/chCxbiGi8joRDUnobiUj2p7O5Ajh+CVBKpXI5rb9HgvL1Vj9Pj78OajbqPikqoqCTgAkjT5dHZfdFZ+4FeXcRrjDHXrFqvn33XeJ4G9cmEXpns6tCr5A7Y/vhYvrurqIScfNyl81BSjrs11c8xWjqaO3ZYN+ZBWBA/SSSRwIXDetadTOjCvZarGhCPDGugklMATQ1ajSYe08AC9PHXf4a38REC+UW41RuQrg5cV5ueBAz160z5nfY7HMV753XNWw6G9MPi7PHRBYlDULV8NM85rDnz0SEdx+isgQuFYc9zsOERuHAal1+IG11hb2aXaykm19JbZGQY0BlyuXxBA994XJt+NTfgPvrbyLtv6Mnf+/s1aB8a1GM4ENBc+YvntbLBj76H/MH/gQuHcaEQbNmlM991Z69XaGhrnlCQLF4KPtiv2x/tmCjDQ8irP4JgCJeI63Eaj0NxKXS248oXQ9nowutwRPNPb13oCritu2DDdn0vpw7r1Yhya8JijLlFa+Pt94XCOsmG06vnWTlQUoq7pTSjd/Q9zZcH3O98hcANZXddKAy7ntISvwurJvMdmHnEgvhJIIff1Vm/yuW4TTuQlWvhg7chv2i04kcA3n9TO19m544G+iEN9p3TYGl4ELlwFrbvBsAtW4UM9UNBCWTn3X3f774Ofd2aZ1xcqsH7B29rUL9staZErFyHG+jVdIKqFbjHnropTcc5hysshh17JvlfykwWScSR/a/qcbBpB65yGW79ViQcgfZm3EA/UliqOemFxXinjsDIkHZA7e/V6kbBIJSUabnH4SEIBq43HevuQH7xv2DTI7gbg+aKxTqLJTLxL6rTx5DWZv0SXbUOisuQ5gY9GWhv0ZODddv0dyYW04Vj2x+H8ychvxCp2YRbuxm3YfsdN+/CYU0j2rb7wf9hjTFz28DA7fd5Kf3sCAS1JGPNRg3kTx9FNmyDxitI4yW90t1wUb93r15EVtYgB9+Crjbc+m3aaNEmxYyPLIj3mXge3ukjIB4SDBHctAMG+3F5BYhzWuGjvxuaBzSoD4ZgeQ2cPzEaxAf0rD8nH44fRNZswGXn4soX3X557k4ScV142NOpwVd3h86oDvZrcFZYChu2IcEQLuBwC6vumWdvZqn+PqTlKsRGkKv1BCuXaZWigiKk8RISSYOnP67Hyk/+B7z+M12slZuvayCyc+DpT+CCIeRH/+36peRr5chEkKEB5N1fE+jugHVbcaGwNhTb+9yDjTkRx+Xmaf57QYnOmHe06u9JZxsg8M//r44vMxuGh/Rqw+iYXHYurnK5lnYzxpgHkX6H1NHYiP6dnQN5RTrb3tqEhELI0YO4wiKdoW9v0ckP0OIU0aGxhbLSUK9BvDE+siDeZ3LhjM4k9nTCsgTeYL9WejnxPvR0w2Df9ScP9Gubey+lAVIgBJGw5vUORzUf/dyJCc0cuh17kaMH4FKtBl6DN8wqCJrWM9CLW7sFt7AKFiz0782bGUOCAe222t8LgwN4wSDukT0axHd3aoWaeAwu/QrqzozWY0Sfn5evx9/5k8jTnxjtX+DpVZxQWGegRqLa9TU7R7+c8grv2b9gXNZuwWVk4nLykAunkcF+3W8gCIheuUoldWzOaYO0/h5IS8ft2Atpabj8O9R4NsaY8erpvPtjnuhnztCApvUFA9DfraWbE3GdcFi4GIJhXOVSwEHZIuhqxy1ZOVXvwMwjFsT7TE4f1YUvqaRWiNn3Y3jrtevlJW+UjMOFs1C9WmcWM9F8YC+pAVM4omkCiQRcuaCLZu7TeMkVFOEe/zByqVabRIUjGszKBvZBAAAgAElEQVSnZ2kH2JIyXNEC3OKl1vBmLuvp0v/36IB2CW5v0ZlrcVpitKsNLtZqCs2tGkaPm+YGPUaXVmtOvHiakgWjnVITWjEmN//6DD1o6cemBiir0KYi4+TS0sYWpBKJaDpZQZF2LM7O1eA9I1NPckvKxnLa3YIKa0hmjPFHR9vdH8st0MAdNDhPjFabi49exSwu1fK2qzfirnVE3bZb02yuTZQwul4pEddGdOMkA/3aPbt8sdV4N2MsiPdbb6f+ssZiUHtGa8berRW952mQdfywXsKrXA4f+jju6kVtmLNmI25FDXLsANJQDzh48nlczvWceLl4DuloxVWvHWteEwhHkN/+Mt6+H+ui1oGI1s5etxW37TFIeRowmTnLZeciobBe3enrQRqvIJfPw/f+02hqyl3EY9crKCTi8M7rkJml6V0BB7FhAl/8OvLOPujpRKoy4IlncTd0OZT339IqN/Xn4COfumN6i4jA2WPI4IDmsd/SEMWVVhD43B9AayNe4yW9gpVMakm38kW4Zas14E/E9UvTGGN8IXe+OytXmz51d+jkQnEpVK3Qn+vP6ff+oiV6df3MMRidWJD330KOvAt5BQSe/CiULdK1a90dsKIGV7Pp/iMS0dfEhuFqPW7v8z6+XzObWRDvo9SVi1oqcrB/dPaz6aaz7zsSAUldz52rWKSt50NhWLFm9EnXylK567cB78wx5M1fQFEpxEdwTzw79pjLySXwW59Dlq1GRqI6Q1+1Qrdr/+tzX2aWLkaND+s6i/4e+B//pDP09yMCxQu0rFp0UIPn3h6dBR+O4vX3ENi0Ey6dx5WU3xTAqxuP17vsou4s8uYvIStnrLrNrVxWNixfTWBptZZEDQQgrwA3MgJVK7TMatACeGPMJApFIDtbC04M9Gt+fMrTz7eWBi1/mzbaA6a9VXtmFC/AK16AW7JC0xWHBkbTAAOQiCNd7TqJ19o4riAeuD4ZeLdJQTMvWTjnpzd+qpfikglNR7hfAK9F+a7/mEzhWhpxm3bc/LR1W3C5+ZCTh8vJBTRlQWpP6QdHRwtu1Ybbtx4I4DbeuVKHmdu81mbN7YyNlnuMDmkn4PEIhjQPPRAAnH5pBPTLBxx8/zvwwufvXgVmxxPQfFU7wt4tkL9Uq2MaHEC2P3HP7qkuENBGUMYYM9XyC67XiR/o0yo1ibgG5X0jWhzgWvMnLwV9g5BIIG/9EnknrBN6xWVQtEB7abyzTxfsDw3App3jGoJzTrvCtjZpJ3VjRlkQ7xMvlYKjB66vYo9EIDaaN3xXomfzwujkpSBnj+MtXo40XcKVLSJQWq6z59caP10TScdlZiFVKzS3fcO2yXljZnZKi+gXzrUTyUAQlqzUhVlNl+/92lRSryKlUhq8RyJ6nDqnC1obLyH7X8V96gsAeD2dSHcnLiuHQNlCrYIzdhXpzlzxAmRpNS6Shqte68MbNsaYSXBr+mEyqQUAyhZCzSZd4DrQr0F9wwWtSjM0CJmD+tpIGoSC0NGGnDuuaYnxONRsRq7W4737hs7Gd7Yhvd24mo36GXoLl1dgzenMbSyI94nUndVf4mt6u8f5Sqd5doGALm5tuYr83Td1EWJuAd5X/phA2e0VZFxYmzK5oQEoKLayeuZmg/03Xwnq64aDb+qM0XgkRsudBp2maw1HtYSaiC4yjaQh/T3IT19Gzp/US8QlZXjPfopAzeb7b3/TDgJVKyAn947dh40xZkYS0c/Gq5d0oWlOnubLd3eAOE2t8TzobtNJj/5enRgJRzTNcUGFfqYGA/q8zla8w+9o2cq+bk1T/My/nu53aWYJC+L98vI/Pdjr3Gi6QlGp5gUP9GrDnWQS4iNIVzsSDkN+0W3BjktL1w8MY2514wklaFA/Uc7pLFIyBfER8CL6BbRxO7LzSbh8Aenr1pSdZFz/7usZe7l0d0JGJi4j8/ZNBwJQVDLxMRljzHRLxPQqe0+nNqMLjk5wOKcN9IJhDdKTSW641K4psRt3IJt26GTIj/4bcvYElC/UiT+HzuobM04WxPtARHRB60Rd+8VPJTUNZziql98ysiEnpG3iO1qRi2ehpBz36JP+D97MTcMjD78N5/TS8EhUj9V4bPSS8SVcNIokE1pyLTMTgtmwfgtunaZ1yYUzyNljmie693kriWaMmTuCN4ROIpovf6PELT+H02DFKtxnfh8XHYQDv0aGhqD+gs6+Z2XDqvU4LwVrxrnQ1RgsiPeF19b0YC8MBSEQhgAaKF08AzjYvAOXX4R74iPIz1/W5/bfoc68MXcTDj/8NlJJXXyVV6CXjFMpzbNva0KuNSiLRKB6HS4rG7dqw9jC67HjNZnQKjkWxBtj5oqAg+VrdAF/X5d+Nt5LOAz/6l/D4Xfw2puhaIF+3/f16ET9yDCubCGuqOR6Lw5jxsGCeD/88wOm0iRTUFCgAfzQIEiLltDr79Wa7s7B5l1I02XcEmvXbKZBPKaXeSuXwYJFcOqwzsafO6nrOAqKterNmo1jdZEBWL0BJx5k5+KKSqdv/MYY47fRjta67igIAbl36ceMLJ19v1KnlW2yc7Rbevpo3fncfOTE+0hXhzZk/NBHCSxddfftGTPKgng/nDnyYK9LJXWFe/15/Tke0y5we5/HLV4KgFtYibOSUmairlx4yA3cUP40EYcr9bgtjyKJGBx5T3Pgkwm9DLxuK3z4k7rY+tqrs7K1U6ExxsxFifgtdzht2hgKjxYFCGjajSdQWq6LYN1oAYsnnsUdehtpbtDn1J/XeGA4Cl3tiOchn8zDlZRNy1szs4cF8Q8p9X//5cNt4Gq95sOL6Nn63ucJjAbwxjyw/a8/5AZu6XEw0Isc/0A7DA9HYWREv7DSM2DjIwT8SN8xxpjZKhjQAD4c0QmO1Rs0bebCGV0Em1mA2/2MXp3MzsEb7NPn9fXoa3LyR8v6BnUtUvzWkwRjbmdB/MM6fuDhXn+tmodz2ijiQaqIGHOrqM/HUWwEjr6nl4xTKcjK0q6Fvd3wP/8T8m//zBavGmPmL8/T1NjhqFb1ungeLl8E8XSyIxYb65wuiYR2zw6GdM3RyrVQvljLVsZjsPUxqFg8tmkRgWMHkY5WXM0m3KIl0/c+zYxiQfxDSI34UAHkmtDoTOapI8iGbbhwxL9tG+OHGy8fx0dTaURgOIr85ufwyB5c8YLpG58xxkwXkdGSksBw8npVr4JiiA1DXgHe6z+FgiK9r2yhps96HoF1m5GCYuT0UejvgWPv4dbeUKUmOoSMVsCTi+csiDdjLIh/GP/2t/3ZTjAE+UV6Jh8MIscPwYZtuEiaP9s3xm+ZWbB4GUTC0N6KXL2MBIIEnvkk9PdpPWRr4mSMma9ERit69eok3QfvgKT0vvwi2PoobuNOXOUyXCCAtDZq3fmRYbh8ERkawGXl6LYyMrSXTFc7bmHV9L4vM6NYED/qu9/9LvX19SxdupQvfelLU7vzVFIvrYVCcO4EkkrpivUnn79tRl7iMQiGLEAy06uvG84OQH6hfukM9kN6BnLobW1WVlCMe/yZe25CvBQkkrg0O1k1xsxB4mnN+FhcawV4o6UoR0bg+AdQUcW1ynOBskWkNu6Ay7VQXslYgyjABYK4x55GUin77jc3sSAeqK+vJxaL8dJLL/GP//iP1NXVsWLFvUs6pr7yCX8HkYzrn1QSOtuQjmbIzcPtvN7gSa5eQo4egIxMeOIj2rHVmOmSTGhzMud0punUEaS7A5ZWw+kjeL3duHVbcEurb3upJBLIW7+CoX5Yvx23dOU0vAFjjJlkqdEUmxtrBTinM/ItV5FEfGyyLvDx/w0aLmqp6azs2zZlAby5VWC6BzAT1NbWsn79egDWr1/PhQsPW57vIaRn6GLXwhJNU7ix9mx7MyDaPMeaP5mZwjkIBrWhiZfSk8ysHBBP6yLfyWC/BvCAtDVO4WCNMWYaRdIgLR2KiqF88U1X2104jFu+2tYWmXGzmXggGo1SVqb1WDMzM2lsvDmo2LdvH/v27QPgr/7qryguLqbNzwGkZUBmFsGsbAJFJaTvegqvr5vw0pWklV5vlJPavouYeARy8kirXmNn5cZf2XkQHQIvef/n5hdCKAIILF6ql4zjMVi3Dff0J7SWfHszruouM+x5BbjFy5DebtzKtb6+DWOMmZE2bNdKNKEQbtdTBKyil3lIFsSjgXs0GgVgeHiYzMzMmx5/+umnefrpp8d+7uzsJPiPP7k5pcblwpIK+OTnYNU6gjcE2OJ5ePERXbkeSdcgyQVxQUcgdHPOuwdER2+PAAOdnTc86mDb4wAM9vQ87Ns2c1BFhXZNve34rFwNmZlQuQS2PA4lxQRz8257/dixGgxDfIRARibiia7TCIVwqSSB8Sy43n7vRk8uEIDNO2/I+jTGmOl302dnzQ7Y8Ris2aAp6uEwhNMIRvR7W0YXr4oDSaYA0QmN0dl1FwjgQiGcc4iIdmE3xkcWxAPV1dXs27ePXbt2cfLkSfbu3Tuu1wX/8Sfjep4LBAim33hiYOUjzeQb7/F5o5uO1dEGTi6ALroGTZsxZgZ42HVJD/L7YeaHcX+3O6eTG6BV5kBTZe72XGN85kRE7v+0ue873/kOly5doqqqii9/+cvTPRxjjDHGGGPuyoL4B9Dc3Dx2u7i4mM6bUl7Mg7J/y4dXUVExb4/P+fReYfa93/l8bE6E/bvcbir+Tebj8Tkf3iPM/vd5LU32Tqw6jZlzxPOQ4ej9n2jMLCSeh0SHsPmXmUVGorp2xBhjpojlxJs5RUSQ996ArnZYshK3Yft0D8kYX8mBX0NnG7G1m2B5zXQPxwBy8Rxy+oiWVn3iWdzoehJjjJlMNhNv5pZUUgN4QNqb7/NkY2YXSaW0wRaQarX6+jOFtLfojaEB/WOMMVPAgngzp7hQGLd6A+Tm49Zsmu7hGOMrFwzqcZ2bT8SuMs0Yrnot5BVqX4S8gukejjFmnrB0GjPnuOp1uOp10z0MYyaFW1mDW1lDuLgYZvFirbnEFZXi9jw73cMwxswzNhNvjDHGGGPMLGMz8cYYY4wxN2h7YdcDv9YaiZmpYjPxxhhjjDHGzDIWxBtjjDHGGDPLWBBvjDHGGGPMLGNBvDHGGGOMMbOMBfHGGGOMMcbMMhbEG2OMMcYYM8tYEG+MMcYYY8wsY0G8McYYY4wxs4wF8cYYY4wxxswyFsQbY4wxxhgzy1gQb4wxxhhjzCxjQbwxxhhjjDGzjAXxxhhjjDHGzDIWxBtjjDHGGDPLWBBvjDHGGGPMLGNBvDHGGGOMMbOMBfHGGGOMMcbMMhbEG2OMMcYYM8tYEG+MMcYYY8wsY0G8McYYY4wxs4wF8cYYY4wxxswyFsSbWUFEkLPH8Q7tR4YGpns4xvhG+nvwDr6J1J6e7qGYcZLa0/p/1t8z3UMxxsxjoekegDHj0t2BXBgNcgJB2LpresdjjE/kzDFob0HamqBsIS43f7qHZO5B+nuRc8f1tni4nU9O84iMMfOV70F8T08PXV1drFixYuy+xsZGXnnlFQYHB9m9ezePPPKI37s1c11GFoQjkIhDngU5Zu5wuQVIewukpUN6xnQPx9xPeob+X8VGcLkF0z0aY8w85nsQ/53vfIe+vj6+9a1vATAwMMA3v/lNotEokUiEgwcP8id/8ids3brV712bOcxlZsGTz8PIMC6/aLqHY4xvXM0mKF8MmVm4SNp0D8fch4ukwd7nITqEK7DPImPM9PE9J/7ChQts3Lhx7Of9+/cTjUb59//+3/Of//N/ZvXq1fzkJz/xe7dmHnDpmRbAmznJFRTh0tKnexhmnFxaugXwxphp53sQ39/fT0HB9UuMhw8fZs2aNVRWVhIKhdi1axeNjY1+79YYY4wxxph5w/cgPjs7m54eXbEfi8U4f/48GzZsGHvcOUc8Hvd7t8YYY4wxxswbvufEr1q1ildffZVFixZx7NgxEokE27ZtG3u8ubmZwsJCv3drjDHGGGPMvOH7TPxnP/tZwuEw3/72t3n99dd5/vnnWbRoEQCe53HgwAFqamr83q0xxhhjjDHzhu8z8WVlZfyH//AfaGxsJCMjg9LS0rHHYrEYX/7yl6mqqvJ7t8YYY4wxxswbk9LsKRgM3jFQz8jIYPv27ZOxS2OMMcYYY+YN34P4M2fO3PNx5xzhcJiioqKbqtgYY4wxxhhjxsf3IP5ak6fxqKio4Hd+53fYuXOn38MwxhhjjDFmzvI9iP/GN77Bf//v/51YLMZTTz1FeXk5oFVp3njjDdLT0/nUpz5Fe3s7r732Gn/7t3/LH//xH1uajTHGGGOMMePkexB/4sQJAoEAf/3Xf004HL7psWeffZZvfvOb1NXV8dnPfpZnnnmGP/3TP+VHP/qRBfHGGGOMMcaMk+9B/FtvvcUnP/nJ2wJ4gEgkwuOPP86Pf/xjPvvZz479/MMf/vC+2/3Zz37GwYMH+fM//3O++93vUl9fz9KlS/nSl74E4Pt9xhhjjDHGzFS+14kfHh5maGjoro8PDg4SjUbHfs7JycE5d89tJhIJLl++DEB9fT2xWIyXXnqJZDJJXV2d7/cZY4wxxhgzk/k+E19dXc0rr7zC5s2bWbFixU2P1dXV8Ytf/ILq6uqx+65cuUJRUdE9t/n666+zd+9eXn75ZWpra1m/fj0A69ev58KFCzjnfL3v1nHv27ePffv2AfBXf/VXFBcXjz0WCoVu+tk8OPu3NMYYY4wZH9+D+C996Ut885vf5Bvf+AYrVqygrKwMgNbWVurq6sjOzuaLX/wiAPF4nPPnz7Njx467bi+ZTHLmzBmeffZZXn75ZaLR6Ng2MzMzaWxsJBAI+HrfrZ5++mmefvrpsZ87OzvHbhcXF9/0s3lwt/5bymA/cvooLjsXajbd94qN0YpPZuaTgX7kzFFcTi6ssWN7NpDLF5CWRtzy1bjS8ukejjHG+B/EL1q0iG9/+9v88Ic/5NixYxw4cADQAO25557jE5/4BIWFhYDmyP/1X//1Pbf31ltvsXv37rGfMzMzx9JxhoeHyczMJBAI+HqfmR6pjla83/wKl5MHWx6F86egrQlpa8ItqIDiBdM9RGMmTDrbkBOHcHkFsPlRXCAA50/ccGwvhKLS+2/ITAtpuoJ3+iiu4SKUliPRQdxTH5/uYRljzOR0bM3Pz/dtgWhzczNXrlzhtddeo7GxkYGBARoaGti1axcnT55k7969BAIB9u3b59t9Znokzp2EgT5koA+3tBryC6HpMoQjkJUz3cMz5oHIxXMw2I8M9utxXVgC+UXQ3ADhNMjMnu4hmnuQ2lMwPIREByGZJJB/7/RPY4yZKpMSxPvp85///NjtF198kc985jN85zvf4c/+7M+oqqoay18Ph8O+3memXnBRFVw4B1nZkJOHKyqFkgWQloFLS/d9fzIchUgaLhj0fdvGXOPKFiFtzZCdAzl5et+KNVBa9sDHtqRSeNG7FxAw/nFli3RyYdNO3LqtOrkwg0kiDp7g0tKmeyjGmEnmRET83mgikeDgwYPU19cTjUbxPO/mnTrHV7/6Vb93O2Wam5vHbltOvH+Ki4vpaGmGYEhTDiaR1J1BzhyDrFzcEx/B3aEk6mxUUVExb4/PmfxeJRH37biWZBLZ/yqZqTjDi5fjVq33YYSTbzYfmxKPQTgyJWsXHubfRQb6kP2vgpfCPfIErnRurJGZimPl1uMz9ZVPPPC2gv/4Ez+GNOlm0+/gw5jt7/Nea918n4nv6uripZdeorW1dSx/PTs7m6GhIUSEnJwc0tP9n1U1c4MLR6ZkP9LeqjeG+iE6CHkFNz9+5SJy6jCUlOG27Z70kwozt/l6XI9EYaAXMjOR9pZxBfEyHEUO/BoScdwje3AzfDZ5pnGRmTurLakUcvA30NcDCyogmdAHOttgjgTxxpg78z2I/973vkdfXx8vvfQS5eXlfOUrX+GP/uiPWLVqFT/72c/Yt28fL774ot+7NWZC3Kp1SCKOKyyG3PzbHpcrFyCVhNZGGB6ynHwzY7jsXFi2mkAsiqscZ/pfewsM9Ont5iszPiXETEBfjwbsgAwP6ULpZAKWrJzmgRljJpvvQfzJkyd55plnWLVqFYODgwCICOFwmBdeeIGmpib+63/9r/zJn/yJ37s2ZtxcUSluz7N3f7xyOdLfpxVxMrKmcGTG3J9bt4XM4mKi471EXFKmJ6LJBJRXTu7gzNTKzdfF0n09BJaswi20/19j5gvfg/jh4eGxuuuhUGjsvmtWr17N9773Pb93a4yv3JKVOJvJMnOEy8yysohzlAuFcLs/PN3DMMZMA98TfQsLC+nq6gIgPT2d7OxsLl++PPZ4R0cHQasGYowxxhhjzAPzfSZ+zZo1HD9+nM985jMA7Nixg5/+9KcEg0FEhFdeeYWtW7f6vVtjjDHGGGPmDd+D+I997GOcOHGCeDxOJBLhc5/7HB0dHXz/+98HoKamhi9+8Yt+79YYY4wxxph5w/cgvrKyksrK6wtrsrKy+MY3vkE0GsU5R0ZGht+7NGbcpLMNmq7A4qW4wpLpHo4x9yWD/XDxPBQvsEWLZsLk0gUY7IfqtZPSNM8YM32mrGNrZmbmVO3KmLuSQ/shEYe2JtwzL0z3cIy5Lzn+PnS1w5U6KCrGpdtnqRkf6e5ATh4CwKUSsGnnNI/IGOMnX4P4oaEhgsHgTc2cjhw5wpkzZxgZGWHJkiU88cQTRCJT09DHmNukpWsQn25XhMzs4NIzEIBwBIJzo7OwmSKRNAgEwPMgzT7zjJlrfAnih4eH+du//VuOHz8O6GLWr33ta/z93/89hw4duum5P/vZz3jppZfIzc31Y9fGTIh77GnobNf678bMBpt24soXQ14hLmxBvBk/l50LT3wEokOwYOF0D8cY4zNfgvgf//jHHD9+nMcff5y8vDzeeOMN/uZv/obTp0/zhS98gXXr1pFKpThy5Ag/+MEP+P73v8/v//7v+7FrYybEpaWD5RWbWcQFg1Bhx6x5MC63AHILpnsYxphJ4EsQf+DAAfbs2cMf/uEfArB8+XL+7u/+jhdeeIGPfvSjY89btmwZnZ2dHDlyxI/dmnlAujogEMAVFE33UIzxnXR1QDCAy7fje6aT7g5w9llkjJk5fGn21NXVRXV19djP126vXHl7x8uVK1fS09Pjx27NLCMiyLkTyJF3kejQ/Z/f1IC88xqy/1WkvWUKRmjmO7lUi3zwNtI/+Z9R0nhJj++3XkU6Wid9f+bBSXMD8vZryP5fIW3Nk7OPoUHk8LvETx+dlO0bY+YeX2bi4/H4TYtZ09LSbvr7RpFIBM/z/NitmW0625DaUwC4QOD+lRKig6M3BIY16JfooM7MW4UO4zMZGkROfqA/xEZ0/YTv+xiAUFjTusZOZAWGo77vy/joxkmHcUxATJTEYsixA9DVTrynHQmnWwlcY8x9TVmJSWPIzIJgCFJJJC0DBvpxOXde4CzJJFK1HBcbgWAQFi9FWhuR9/frz489jcsvnOI3YOa0SEQreMSGcTl5Y3fLQB9E0nF3mJQYD0km9LhvuowcOQChkC42XLYKF4/pY4uq/HoXZjIsWamfRc5B5bJ7PlU8DzwPF7r/16skE0hHG3L0PWhtgnAYl5cPNklhjBkH34L4X//615w7dw7QmXmAV155hQMHDtz0vJYWS4uYr1xWDjz5PNLTDSfeRy6chvXbcUtvTruS1kbkg7e1DOTuZ3Cj5SClpwsQSCWhvwcsiDc+cuEI7HlWG+OMzoJK3VnkzFEtTbrnubFjcbyk7gxy5phuLycXEEgmoL9XK4es2zoJ78T4zYVCsHbzfZ8nsRFk/6swEoWtj2lVobs9N5VC3vwV0tYEQwO4BRVQUEzGM59geHjEz+EbY+Yo34L4U6dOcerUqZvuO3z4sF+bN3OEy8yGwQEkoSd69HTC0pVIMkn83EkkmYLWRq1rHB2Cni4oX6TPXbpSg59w2Kp1mEnh0jNu6iEgPZ16IzYCQ4Pj7i8g/b3Q2oR3+QIOoLsDVm+A4WHdR5mV+5sLpLURBgdgyQpcKAy93dfTAFuuwj2CeBIxGOqHrGycCJSW49ZvI5CVDRbEG2PGwZcg/uWXX/ZjM2a+KF6AW7pK84Or1+p9544Tb72KRKOw8RHo7oSMLCi5Xs/dpWfiduyZ0K4kHoMrFyG/EFdS5ue7uPs+Uynk0Ft6wrFpB660Ykr2a/znVq1HUklcTj4UFo/7dfLerzUtJ5GA3Hw99opKcePsTyDdHdrPoHLpjFn/ISPDyPtvQjyOe+RxLV04j0lvN/L+WwC44Sis3wpFpVBaDkNDsOT2wg43cumZULMJ2ltwjz097mPjvuPqaoeuDqharmsv7vXc/h7k0Nu6TmPHnglfaTLGTC/LiTdTzgUCsH6rzlBev3fsb5dXgPvQx/zZ2ckPkKYr4ALwoY/hsrIfeFMSHYSREdz9grneLhitpiOXLlgQP4u53Hzczicf4IWjf+cXEXhqYseyJOJ6EpBKQmcrbtdTE969dHVAZhYuw8cTgPZmnWkGuHoZ1s7vIB7n0P9oGfv/dqHQhI4Xt6IGt6LGtyFJbESPHS8F3R24nXvv/YLGyzA0oLfbmqFq+cT219sF4YimShpjppwF8WZmWLORtIpFDCeSPtfMdtf/cvd84j3J0ADym19oYFWzGbdizd2ffK25ymAfbtGSB9+pmbXco09BW9O90ynGt6UJv0LOndAqUOEIPPm8fzP5xQv06lgifj3FbR5zeQWwc4+m01ROLPidPDccL24cx07ZIr1SGQzddNVzPOTKReT4QQgE4PGP6L+HMWZKWRBvZgQXDBKursF1dvq74Q3btYpNfqHm4z+o6JAG8AADffd8qguHcXufQzxPrzqYecfl5I4uZH2A14Yj8NhTmhLxACeBMtCvNxJxGB72rdKJy8yGpz+ht8cTIM4DrrQCSqd7FNe5tDTY9ZSuNVq09BBlNSMAACAASURBVP7PLyyBZz+ttyf6f3rtc9DzdDbfgnhjppwF8WbKSEM9cvEcbtES3Er/LiHfiwuHYfnqh99Q8QJc9Tpd3Lhq/fj2bQH8rCCpFHLkPRge0jUMufnTPSS9GvWAV6RczUadkM0t8L27qAXvU0eaGpDaU7jyRbjVG8b9OldYPKH1Gw/8f7qyRkukpqXrjL4xZspZEG+mjJw9DrFh5OwxWL4KFwhO95DGzTmn1UXM3NPRAi0Nerv+3P2bkM1wLisHtu2e7mGYhyTnTsBQPzLQqz0FIg/Wp2CyuLR02PLodA/DmHnNpgrNlHELyvVGcdmsCuDNHJdXqE2eXABKyqd7NMYAN3xeFhTr+gZjjLnFpM7Ee57H0NAQmZmZBIMWtM17G3fgVm3Qy6/GzBAuIxOe+jikkvctyWfMVHHrtsKKNdot2NKYjDF3MCkz8XV1dfz5n/85v/d7v8dXvvIVzp49C0B/fz//7t/9u9uaQpn5wTmHy8i8Y664jERJtTVry3JjppgLhW4K4CU2gnS0Il5qGkdl5juXfufPy3uR/l4t/WiMmfN8n4mvra3lW9/6FgUFBTzxxBO88cYbY4/l5uYyMjLC66+/zrp16/zetZmlJBFH3vwlw8EAlC6EDdv93X57M/LBO5Cdg3v0Q1r9w5i7kFQKeetXutB14RLYumt6xnHkPaT5Cq56Pe5aUzRj7kG62pF3XkfEw2VkQTyGW7MR58fifmPMjOP7TPw///M/U1FRwd/8zd/wu7/7u7c9vnbtWurq6vzerZnN4nFtaw/IYL//2796GZIJbVTTM/ESlpJMIhfOIA0X7/4cEf0CHY4+xEDNjJBMwuj/o9ynnOhkkWQCabwEnodcvuD/9rs7kLPHtWsyINEhbRBlZrehAUAglUIaLyM9nXiH9iPJpG+7kJGoftaJ+LZNY8yD8X0mvq6ujt/93d8lEokQi8Vue7yoqIienh6/d2tmMZeVDeu3E0oM48oq/d/B4qXaQTUrGwpKxvUS6WqHkWFt1nPhNHLhtD6QnnHnDqznTuhzwhF48qOT3r5chgbg/EnIK7RZNp+5tDTYtEM7lC6/R1OvyRxDKAyVy5CmBtzS6gfahqRS0NwAOXnaK+GG+8c6wrY1w449yG9e0RPdVetx4yyhetf9iuixORKFNZtsncFUWrgE198HyQTS2QbHDkJJGdSeRMoWQ3QAKiofuLCAxGPa9C4ewy1bBeu2+vwGJp90tELDRVhYhbPSmGaW8z2IDwQC91yE09vbS1razCqVZaafW7qS9OJiBv1u9gS40nLcc58e9/Oltwt553VAdCFu8IZfk7t8+Y3N2CbiGvxPdhB/6oh2BG28DCULcLnWaMVPrnIZVC6b3jFs2ol7mHKXpw4jV+r0mP3Qx3CZWaMbBoJBDeKDQb3qkEwAIP19D9PYWLU1a8dYwAVDsH7bw27RjJMLBmHdFhyjV1uigwBILAbv7APxcP29ULP5wXYQi0FcJ+dkoP/hj5VpIEff08/olkb46G/bomEzq/kexC9btozDhw/z3HPP3fZYMpnk7bffprr6wWaWjJkSiQQweqk4EYeaTVrBJC0NV3zn1uSuZpO2H88rvGnWc7K4rBwdYTgCEZvpNHeQiOvfngep6wt0XSAIj30YOtugfJFeNVq9EQZ69e+HlZmlvwueB1k5D78980BcYQnsfBJGhpGsHLharw8kEg++zZxcWLtF0xIf8orNtMnK1SA+K8cCeDPr+R7Ev/DCC/zlX/4l//AP/8Du3dpwpLu7m2PHjvGDH/yA1tZWvvrVr/q9W2NuIyPDEAppasIEuJIy2LgDhodg+RqtDrH43i3MXXbu1DbYWbsZt6BCv4gmedbfTD2JDkF6+sP1U1i3FZeZrSeWObk3PeRycuGG+/xcOOty82Hv8xCL4YrGl75mHo4kEuClbktdcqVaa94BsvlRGOx/6A7Wsz19z+14Aro7weduxsZMB9+D+A0bNvC1r32N//Jf/gu/+c1vAPiP//E/ApCZmcnXv/51m4k3k06aGpDD70AkAk98RIOZCXBVyydpZP5wzmmuq5lz5NQRpP4c5BfC7mcmXGLwGpeeATWbfB7dOPednQsT+5UzD0iGBpC3XtWUqG27ceV3zvN295mImC9cKAyl1tTNzA2T0uxp9+7dbN++nePHj9Pa2orneZSVlbFp0ybS0+3Sv5kCHS2AaP5mXw9MMIifCDl1BGlrwq3egFtYNWn7MfODdLTqjd5uPX59vNIi508hjZdwy1fjlqz0bbtmGvV2Q2K0iERnK9wliJ9K0tyAnD2u65FsTYQxk2bSOrampaXxyCOPTNbmjbm35athoE9z2e9UTcYnMjKss6aA1J6yIN48NLd6A3L+JG5Bha+pUuJ5yPmTgOj2LYifGxZUaBWt2Ag8YCUjv0ntaRgaQC4NaEritUXVxhhf+R7Ed46jukgkEiEnxxaVmMnjcvJwjz8z+TuKpEFRKXS1W7ky4wtXvuiuKREPtd1AAFlQAW1NuLLFvm/fTA8XCuO2Pz7dw7iJK1+M9PdAQTHY1XdjJo3vQfy/+Tf/ZlzPi0Qi1NTU8OlPf9py5I2vzUjGttnbhRw/hMvOgc07H26R4F24QAB2PQWJOC5ipVPnGhEBz9PSfZO5n8F+5OgBiKThtuzChSe2GHu83CNP2LE6R0z02JRkUssrDkdxm3boAuRJ4latg6UrIRyxyTpjJpHvQfwf/MEf8Mtf/pKOjg52795NeXk5IkJLSwvvvPMOpaWl7N27l5aWFvbv38+3vvUtXnzxRVavnt0r3s2Dk2MHkIZ6RtZuguU1/m344jno60b6unGLl03aYibnnM7ImzlFRoaRt1+FkRFdMFi2cPJ2drnuejfh1sb7VkN6UHaszg2STCLv7NP1Phu346pW3P9FHS3QclVvX6qFjZOb7monisZMPt+D+IGBAWKxGH//939PdvbNiwk/85nP8OKLL5JIJPjSl77Epz/9af70T/+Uf/mXf+HFF1/0eyhmBpD+HuTQ2xAO4x7Zc8ccX2m8AkCy4aK/QXxpBTQ16MLAvIdvhiQdrUj9eU13qJzZ1WvMg5FUCjm0H/p7oKISokP6QOtVmMwgvqQMLtdCMOxb6TsZGYbTR7SPwNpNk3IlytybJOLIwTdhJIrb8hiusNifDQ/2Q1+37qPpyviC+LxCSEuHePyhJzSk9jTS26WL+SdxRt8Yc2++B/G/+tWvePbZZ28L4AFyc3N56qmn+OUvf8nHP/5xcnNzefLJJ/n5z3/u9zDMTHH1MgwN6O22ZrhD6UZXvQ65XEukZhMjPu7aLV6qgXwoNHbJWfp7dNazbCFuggte5cQHMNSPtDVr6/IJ1p83s0BfN7Q3AyD9vbjiMu0XUDW5i0Ddggp45gUIBMZ1XInnET9zDOnqgpVrcaE7fJTXnUGa9ATZFZbAwkq/h23up6MVujv0dsNF8CuIz83HVVTi1dfikklkJIpLz7znS1xmFjz1CUilcA/RNV36e5Fzx/W2l8LtfPKBt2WMeTi+B/G9vb2kbugOeKtUKkVvb+/Yz4WFhXie5/cwzExRvgi5cBqCIVzJXbqdVq/FVa8lUlwMNyyMluig5ghPMFiWYweRtmadJbrlpEEOv6edKRvq4dlP3zn4uZvcfBjqh+wcbWVv5gwZGdbqHrn5kFsAg30EKpfjFi2Z2HZiMW1tP4GqMpJMIO/vh6EB3OadcJeuwDdpukL8/HEkGtXfj5V3uIKVO3r1KRCEHOucOi0KS7Rr7ciwXtm5Axno08/H0QouIoIMDUBG5l2vnrhAAKlei2tugN4uOHVkrNmcDPQjh96CQBC3Y49W6Lr2ulAIJvKZdydpGTqjHxvB5T78FU5jzIPzPYivqqri1Vdf5fHHH6eo6ObLwp2dnbz66qssWbJk7L7m5mby8+1y3Jwlo23eRaC/b9z12qXuDHLmmLZw3/McLhwZ3+tGhpGGi3q7/tztTZvS0pE+T2fHjh+E9dvGnbvptj4KPasgN++BG/CYmUeiQ8ibv9AFn2u3ENj7HOJ5E/4/lt5uzVMWD3bs1c6/49HdqfW9Aa7UjS+Iv3EmNS3tjukNrnKZppGFwxNudmb84dIzcE99/K7HkzRdQQ6/C4EA7P4wLr+Q2MG3kDPHoagU99jTt78mOoicPgahIOICOPE0sL6m8ZKm24Cur/C57KRLS9OOvEOD1vXUmGnmexD/hS98gb/4i7/g61//Otu2beP/Z+89g+RMr/ve39N5uifnjAEGGAxyxiJjF9i8JJdaUlS2KKtIuWjzSqZp+4PKtlx2laVyle8Hl79QFl26V5S1qtIVzbjkBu5igQUWOecBJuc8093T6T33w+lJmJ6ZHqCR318VCjMd3n675+nnPc95/ud/ysv1Qtbd3c3p06cREf74j/8YgGg0yqeffsq2bdsyfRo2jwiJxzQgzi9KHQyPDgOiP48Mpa0rlv4e/SEU1ItFfmF6J+T1qYSmtwtTVTfnbrNjH5w7gSQS0NEC2Xmwen1ahzYOJ9ht5J9qJBKBkQEoLJ3ehQmNQyyqPw+rzvi+FmlDA5BIuiwN9KbfUTe/EHLyVHZWmV6fAVNaSdahtwj394EvC/n458BceYPJQC2IzeLIQC94fJic3JT3zzueRgYBASsBYyOQX0iiR+VcDPQhicRc95kbl6GrVY+7YTvG64OZ9rbl1dB8S3dgHlJXZ+P16VxrY2PzWMl4EN/Y2Mh/+k//ib//+7/nzJkzRKN6cfR4PGzcuJGvfe1rU5l4j8fDX/7lX2b6FGweIfL5Jxqw5ORjXnpz7gNq6jAjA5Cw1HIsTUzDBiQWw+QXzSlKlVhML375RXPkMMYYzK4XNZhJsRVt3B6oX6P6fBGVT9g8F4hlIZ/+QoP2sirMCwf1jqJSzMo1yNho2gu6lFQvUwcQKwF1qQsNZWwUrMSs4Np4vJiX3lpy9t9ZWoFxuHVhYssbHhvSdB25claz6QffwOTkpf/kFY2YUBDcnim5jXfzToJnTmCqlk3X8gwPgMuNyc6dnrOcLkxpJSYwe5fFFBTBa++AMba9o43NM85D6dhaV1fHv/k3/wbLshgd1W293NxcHLYE4dljsmg1OIaIzLloGJcbNu9a8mFNYfG8zZrksw81iC8uw+w5nPr5C2jWTVEJHHpLPZaXcsG1ebqxLAiH9OfxsambjTGwdgsPGu4Yt0d92OdBBvp07IoF2/Zh7ik0vV+J1pS8IRTUAM7m0TI5B1qWFkEvYU4xvqwpLfskrmX1OALTx5DWO8j5E0nJzauY+kZtMOf1zdK7zzqufa21sXkuyOg3PRqN8u1vf5uf/exnenCHg/z8fPLz8+0A/hnFbNmNqarDbN/7SLI+IqLbzjD9/+R9oXGkux2x5i+snsQEcuwA/jnDuFzaSKmqDrPlhUd/AsFRDeABxkcWfKgkEjqWJy0uF8F4fXYA/7hoWI+prces3gglD96LIjHQp/KcSSbnOcuaWjCY/MJ5A3gbG5vnh4xm4j0eD6FQCNeDVr/bPDWYkvKHprtM+XrGwLY9SHvzrKJViUaQT34BsYg2dtqSfvZfzp1AutsxqzdgVqx+GKdt84Rgqmofn9ViVR1mZFh184uNswufI+3N2pjp8Jcwbrc2+Dn5CYwOYzbvguIM2RXaPBDGlwWbM7MolL5uwhc/R4JB2LJbbXJXrsFEIzoWKmoy8jppnUt3O3L+c8grxOw88NC7FtvY2CydjEfbW7Zs4dy5c7z6amopxFK5desWf/3Xf43D4WDFihV8/etf50c/+hGnTp2ipKSEb33rW7hcrozfZvNokHhcNcJL6O5nKmow917M4rGp4kQJB9OWRkgkgrTd0Z/v3rSDeJuMIlYCYjHNlDudsCG9Iv6pDHw0CokYuN1aGJ4s+JaW27B+08M67eceicUAMO5H3AsiHNJaHVBpDski0iUkJTKFNN+GaETrPEaGMudxb2NjkzGcf/Znf/ZnmTxgZWUlH374IVeuXCEnJwdjDPF4nEgkMuufz5deZbvT6eTll1/m5Zdf5siRI+Tm5vLpp5/y7//9v6erq4uRkRHy8vL46U9/mrHbamoWznaMjU3raf1+P6FQ6IE+s8eFXDyFnD+pzZDyH/1WvEyEkI9/pm4L2bkEyisIhUJIOIQc/SVy66rq3tPw3DZuD/iztUhwzaY5iwKxEtDfq8VhMxdpTqduVwfHMfVrVC//FJOTk/PMjM/5kK525PiHyGA/VNRMybietPcq8Thy5Jdw9ZyOM6cLOfILtUAtr144QCwo1gCquAxTVqUaZ48H+nogGsWs3jD1fXlaeJxjUzpakRMfwfAQVFQvKP2T4UG1HG26BsWlmKzAwse+flEL/KMRzAN2QiUnj4DfT8QXgFVrM95lVyZC6qKU5V9c/miMGgDkF2FWrnmsOvtHMVbuHZ/y4/9938dyfOm3MnFKD50nbc58WDzt7zNngT4fGU85/6t/9a8AaG9v5/PPP5/3ce+++25ax5vpIe9wOGhpaWHtWm1ssnHjRo4ePYrX683obbt37551Dh988AEffPABAH/+539O8YxtbJfLNev3pwWJRAj2doDT4Ohuw7999+JPWiJWOIRxOOftDhjvaGHCYSDLh2tibOqzjDVdJ5KIgQPc48N469N0tVng7zBx7CPibXcwgRz8b3519tbwG7+WsijX5slE7t7Q5jldbboAewg2ipJIQCT8YP7q4aA2FgOkuwMTjcJECCaAng6oW2BcZ+eqPev4KBIcw+x6CeNyYw68Zo/V+0DuXIeJMNLRjFm9Xj/f+Rjo1Z090J2PwoUX9nLrqlrt3r0J67Y80N/GOBx4NmzDzGh6lykkFkU+eU9djOpWwcYdC59L1TLtTG2PNRubJ5aMB/Ff+cpXHsqXvqWlhbGxMQKBwFSRrN/vZ3x8nGAwSFZWVsZuu5fJnYBJ+mdMsMXFxbN+f1oQESSnAHo6MDX1hDL8HqS7Azn1KTidmP2vpiwiFZcPyStSV43iSnzxOP39/Yg7C8EB8RgmkJuRC5rV1Q6hEITChHq6lyTfeZqorKx83Kfw0DFVdUh/r/qrBzLfiVQSCeTILzQAX7UOs+Y+ZSvZuZhlq5DBPkzDes2kt90BpwsWy9iKpVaYMN24J4kdVC0dU12HDA2oJMS/cGad6jpdZIlAzYoFHyp93Uhfl2a39xx6sv820Yh2JQZkfDQtyeET/X5sbGwyH8R/7Wtfy/QhGR8f5/vf/z7/8l/+S+7cucPgoDZkCYVCBAIBAoFARm97HjDGYF44OMtPXWIxbRmfiQB3oFcDkbilF7gUQbxxOjE79s+93R/AvPylBQ8vrU163FVr08qWmo074c519Qd/RgP45wWzrF77DzicuhgNhyANyVXaTISnM+h93fcdxBtjYNOOWcGSee2dOY+TliYYnj2WjcMJW/dAZ+vCGXubtDDLG2BZfUp5isSiIDI1Lxivb17r2jkM9GKKy1T2VH5/RafSdF0XbA3rVf/+kDCBHNiwAwZ7YdW6h/Y6NjY2j44n3vcxkUjw3//7f+d3f/d3yc/Pp76+nqtXrwJw6dIlVq1alfHbniemAvjRYeT9HyK//Eekr/vBD7x8lbaPr6iBysw6KsjYKHL+c6TlNnLpTFrPMYXFmO371O3B5qlnatyePIK8/0M4cyxzxw5kY1atUy1w48aMHTcVMjaCXEg9lk1lrY7Z4rKHeg7PCykD+OFB5Jc/1H8zbR3TpW6l2kqWVWmzryUi/T3IlbPI3Ztw/eLSX3+JmOWrMNv2YuwmdzY2zwQPzYbl5s2b3Llzh2AwqN7e9/DVr341reMcP36c27dv84Mf/ACA3/7t32bNmjX8u3/37yguLuatt97C5XJl9LbnkqH+2TrQB7SNNP7s9LNZgAwNEL5wAnF7MWu3zL6vs1W1wWVVmNYmJJAHLrfKbWyv5Oebvi4ApLcro4c1azbdv4yGZD+D5tu6G1W3Cnq7kNtX1VmpvnH6gW4PBMeR8TFMxWOyvnyeGexTy0/Qwvei0jkPkeA4cvGUFthv2jFrMWB8fszul+Y9vIwO6Tgoq8KUpZC6eX3axMmyIMVcpnPfGCxvePROOTY2Nk88GQ/iQ6EQf/7nf86NGzcWfFy6Qfy+ffvYt292R7uGhga+/OUvz7rty1/+ckZve+6orIXuDg3kZ/ivPyrk+kUSwREkFFI/7WSxogwPIqeP6oPOnUCy/ICB3YcwiRiUPvsacJv5Meu2Ii23MU+a5KTtLnLpFADGOJA7NyA4igz2Qe0KdVMCiMcQtwcCAWQymLR5dFTVQW+nBtHL5tG/374GfV0IYMqrluTVLmePa4Fy6x14/R3tYD0Dk5MHB15Xa8l76iRkeGBq7jPhEGxauBDVxsbm+SPjQfzf/M3f0NTUxL/4F/+C1atX8+1vf5s//dM/pbS0lB/96Ec0NTXxp3/6p5l+WZsHxLg9mBcO3tdzZbBPs/c1K+47M26KSiA4AlmB2YVnDgdgANGsFaglZl6+rW23wSxvUL3zEpFQENrvQknFw+l0OtP9yOnAFJUgwVHIK9TC1klcbv3OeDxpWanaZBbj9WJ2zZ9JB6CoGFpuq1f/PTIUiceg+RYEcjEV1XOf680ChrWoeR6LRpObP+e4wOy5z260ZGNjk4KMB/Fnzpzh8OHD7N+/f8pz1RhDeXk53/zmN/mLv/gL/vqv/5pvf/vbmX5pm8eAxGLI8V/plnRfN2bvy4s/KQWmYT3+9VsIB0Ozto1Nbj7sOQTBMaSiFtPXDWkG8CKidmp2cGRzD3LmmErIbl2F196Z3TsgA5iqZeqzLaK7XDUrVEbjz57lt218WXDgdWR0CCko1gJL2xHkicJUL1ebSad7rl3utQuqZwc48Nqcfhtm+z7N9BcUL9nz3eQWwO6XtOi1OrO1PBKNgMOZ8XFvY2PzaMn4N3h8fJy6ujo9eHKCiEQiU/dv2bIlbY94m6eMBww+HLl50N2FeH2YwLTjzJT7A0BV+rph+fwTvYDW1mMy1Bbd5hlhcqw+QAMbmQir/WNhScpGOKbynrGawqEJwOTkwq0ryJljSHk1ZueB+z4nm4fDvA5YU3OeAZNiDLjdULX0gtcpJneJxAIyk42Xrjbk9DHweGH/q5jFLDdtbGyeWDIexOfn5zM8rPZsWVlZ+Hw+Ojo62L59O6BBvmVZmX5Zm8eEcbth78tqKfkgFysgeuMycuwjlRsceF2Dm/tErAQkix2lpyMtT2Sb5wezfS90tOri8D6ykRKLJRvnhEmncc6ix+vp0B96Ou1mTk8TazZjArkQCEzV8WQSOf4r3TEqKMbsfzUzB+3t0kVBJKzWpnYQb2Pz1JJxi8mVK1dOWTaCZt5//OMfc+TIET755BN++tOf0tCwdA2rzZOLyS/E1DemlK3I+Chy6TTS1b7ocWQ06c3d34P1yc+wBu+/yZNxONUeMCcP03j/LiM2zybG59cxOyPwklAQuXQGaW9e/ADRiAZBqE3kfEg8hgz0IvG4/rt8Vv/FZxexmsZNOlbXbLID+KcEiUTg8lkdCyXzN++SyISOgWTySmIx5Oo59YdfjMmxdU/DrwdieYM2Siuvto0BbGyecjKeiX/jjTf47LPPiEajeDwefu/3fo///J//M//jf/wPAMrLy/n617+e6Ze1eUKRcyc0k9R8G179tbma0hm4121BLpyGq+chK6BdX//gTzD3WdRlGtZhGuymJjbpIZdOa6fOuwYKirQ5zjyYQDZs2I7092JWzz/G5Ef/G+lqw6xoxKxej9xJBm6+LJUzuN1qO7l8FWb5E+aw8xwjYyOasa6snb9Y/9ZlpOUWACYvX4NiQELjyKUzGJ8fWbMBPnkPJkKYZSth0064eRlpuqbHCOSo4808mK27kba7mEU6xy4Fk5uPOfB6xo5nY2Pz+Mh4EN/Y2Ehj47QPclFREf/tv/03WlpacDgcVFVV4bQr7Z8fJrPzbjc4F974cfgDasUWmdCumZU1anmZYrxIJAKSwPhsn3ibzGC8PgR0vDkXnxoXc8axYlG1lozHkFtXMFtm1GUM9iHdyd2pnQcXDORsHi1iWcixDzTD3tE8f8A7qZM3DnXVmuT2Nejp0LGUmwcTIT3u6LDK+qa6spoZP6fGlFdjylO43ix0/okEhIO6QLB3dWxsnmkeSWm6MWaq2PXEiRMcPXqU7373u4/ipW0eM2bLLnXnyC+a45GckkAAikshkcC8+uWUbcitvm449gE4Xci2vZjRIQ266htTFhja2KTFhu2YkgrIzc+Io5FxuZHiMmi6Djn5UFCC2f8aANLZhsRiWlMic2uEZLAfOlqgqhZTWPLA52KzFERdhUD94+fBrFit1pAe7+wOqAXFajvpdGFKypM7Nj3aBRigvhEC2dqXo7sdycmbU5ch4RA4HCnnvwXP3LKQo+/DyCBm2SrbW97G5hnnkftLdXZ2curUqUf9sjaPCeNamjuD+cofwJ0bsKIBxz12bRKJYB15D84eByuhtn1XzyGhcX1uVlbGrdhsnh+M07kk96P5kME+5MxnWjC4cq1mbL1eCI5hCouRkSG4ex0zPgobd2BSNA+SU0d0R6qjGfP6Vx74nGzSxzicau3Y0wXVC89dprhs7m01y9VVxuXWxWB27qwdG2MMWBbSdkcbSDmd0LB+6v54RwvywY/VOWn/K2o1mS7xGNLRrAXS/T04NmxdsrWljY3N04NtEmvzROHIL4Stu1Pf2deplpEIGAfG44Haerh+Qe+3mz/ZPAm0NqmcIRzErN4IiBbQTtoFDg9qhregaP6Mv8enQfwSM7E2mcHkF0H+/TcBM9mLOGvNnKvumbcS/b26O5OwdKwsIYg3Hq9Ke1xulTKODj/Q+7CxsXmysYN4m6eHojIoLodQELNsJWbvy5hANpJXAE5nyqzYJNLTqUFRdZ0tubF5uFTUqn2lLwtTtxKzev3s1On8ugAAIABJREFU+6tqMX1d6lAzTzGr2f0S9HfreJ+BWBa0N2vgV1z8cM7f5qFjSsrVmjcWm1MP4V61FtqaMW6PShHnQYLjmtQoq5zlY+/YthdxuSEvH7JT9yawsbF5NrCDeJtHjkyE1IHG54clWOqZLD+OV7+sXS1ndr0sU5s0GR7QwtjK2lkBvdXTibz/Q/Bm4ZgIg+1YY3MfyEQYrp7TDGfjpnkXg6asEt74KowMwY1LSNUyTFHp9P0uN2zft2DvAuObLQ0TEehsUz/59rsAJEpKwOnJyHuzeTSIZenO4UQY1m5JuRPj8Adw7Hpp8WMd/xBCQbiTC4fegu528PgwtSseSrJCOlu1H8iKxlnN+GxsbB4fdhD/EJDbV2FsFFZvWLQbnkyEkAun9MK+aUd6xZ9POzevTHlxm8LiKWu2dDDGzNsZVk4f1Yta211489enFweXz0BXGzicSOOG57bxk8SicO2CbrU3blhUKytj6vFvAjmwYZu9g3Hr6vS4LSiGFFr2SYzDgXXqU3UmaW+GN776YE4hNy8jNy7BQB8SyMb4sjST/4wE8dJ0XRc9jRvm7446+dh4HC6eRKJRzKad81tAPon0dCK31V7SuL2wYdv9HyuRLLpNxKHpOnL1HGBg38sZL4aWcEi7vCIwNorZcyijx7exsbk/MhLE/5f/8l/SfmxPT08mXvKJRQb7kKvnATCWBdv2LPyEu7em7MhMcRksq3/4J/m4yUk6OTicsIAXN+gFO+2Omt4sDeK9vtkBk88P5TUYKw4rGud//rNO03WkOelrnZMHNYsUAd+6Av3dSH83pqLKbgyTm5QmpDFuAfD5kNA45t7xeD9EIwBIQTGmZhmmpAJXVS30339DtCcFGR5ArpzVXxIJzI59Cz+hs3W6IdfdG7B2y0M9v4wSyNbxYyWmx1MSsRJqV5kmZteLmpyorNWFoh5laqxkFKdTbYJj0SU75tjY2Dw8MhLEt7cv3o1zJsXPspbTl6V2h4m4TtiLUVCsE7fDoV30ngPM8lX6Xj3eBbdl5dJp5O5NqFqG2bZXb7t8FulowaxaqxZvM4+78yD0dalF5czbN7+ghYXFpc/3NnD2ZOBppj2uF6KoRKUbbq+trQVt1pNbsOi4BXVSkta70NGM7Nj/4C/euBHjdGH8AUzdM9YUyjs9Z5rsNBZH+QXJxyeg4Omy3zS5+fDSmxCNYgqmC06ltws5eQQ8Xqwv/1Z6x8orgGTHYWlYhzEG6W5HLpyC0ZGMNrozHi/sf1V3S5boW29jY/PwyEgQP9mN1QbdCn7xTQiNwwKFllOPL6+Cw19UT+AMeFM/Lcy8gM2Hdfs6dLYgfT04tu6BRGKq46XcvjoniCcSRlrvYAb7kPUz5B+hcaisee79tk31cvDngMuZlm2dWbZSx7Dboxdxm7TGLaAFhz2duji/ch7Lm4WprJmyGpRwCLlwUh2WNu5cdLfJuD2wdjMiokXavqxnprDVZPmXNmfmFuicaSUWld48iZhADmLGsT7/RJvVbdimenYrARMhEn3dEEi9aJaRIdXTl1bM2t0xLjes2aRSHbF0frwniJdrF5DBPsyaTfc1F5rsXFjMdcfGxuaRYmviHwImkJ1eFn7y8Yvo5p9FZGRIC1QX2H0wDgcSjagcZmQIk1+IVNRAVxumum7uE2bJP2qgpBxpu4ucO67373oJU1rxcN7QU4IpXFrgZ9KRjTxHiAj092g3zIW+t0WlmIpqpK9L/eIHepCBHi04dHu0F0Jvp8roSioWlzZNcvsacu08GAeJwmdn527Jc+ZTmvCQ4HiyTqJlWkZZWgHLVkJfD/h8uCqqYXRs7nNHh5EjvwCxMI0bZ3nLT2Kq65C2O3PmRxkbQW5d0Z+vXcTsPfww3p6Njc0jJiNB/Icffsjhw+lNCsPDw3z/+9/nO9/5TiZe2uYpRHq7kBMfAwI7DmAqZm/PSn8PuFyYxg1g0O32ZFtzx479SCKhDVLupbBEu1x6fZCTzBiFQ9P3T4Qfyvu5F+nr1sxabb1ueds8O1w9jzRdA7cHXnpr3mDS+APwW9/EiAXnTyLtdyE7V8dGXiEUFkOTUa3xUsbIRHI8i6VuOe5Hq0+W3i7dYVhWP7tL6XOKJBIq4cstWNzEIDiGfPxzlVpOZsJdbsjJxWTnYg5/AUhKV5gbxBOZmO7uO89cZrbs0gZi986PPr9K6ELjKRfykkjA7asq7Vy5xi5it7F5SshIEP+9732PI0eO8Ed/9EdUVs5f/Pbee+/x7rvvEo/HM/GyTyxiJZCOVohGMNV1diHQvQTHgGRb8+DorLuk9Q5y/gRiWZj12+DAaxh/9iw5R8oAHlSqUFoxW/6xYjUmHlUNbarsfYYRK6Ha1kQcerunLsxPCmJZSMttLSCsb3zwgsvnDBlPjtdYFKITKmuZvG94EHw+lUgw6aTkRDa/gKlvRJpuwOmjiNuDOfRFzMtfBKdrafPD6g0YDPgDmrF9hIWtEo/p2LYSMNCDefHNzBx3eAB8fnXcSSSgoxly8tOXLj1Ozp9AJhMHh7+4sLtYOKTzAskdrk0vgNud/q6Cyw2r1mPisZRZ+ElSzY/G7YaDb8BEGJOTQhLTfEvdj0DH4/NgsGBj8wyQkSD+j/7oj/jBD37Av/7X/5q3336bd955B9cMjWdzczN/+Zd/ye3bt9m4cSN/+Id/mImXfWKxPj8Cn/wc4nFk3RbMa7+GaWsGYxB/QLWwRSWYnQeeq5bYIgIXTmL1dWPyijAFhXBvkV44qP+33kHGRzGr1mFeOJj6eN0dqoud0RDlXvmHcbkerXuFcWiWNhEH75OnI5frF5Ff/COMDSMrGjBf+E1MVgBuX9Pdi6o61XEDnDuOdHdg1mzWYmQbzLotGkzlF4LXj3XsQw3oC0ug+ab+7V98c5btoXE4kJxcpKtVG5X5gVhk8a6eqV7f84C2hA+CIzm2I2HtKJsB5OZlrE/fV5eVrbsw5TXI+RO6yPzSb+OY7AGxFJeqR4AMDyDnTiCtdyCvABOJQDyuY2MeTHEZNG6E8TEtVF6CNaZcu6ByGK8PXnwLs8DcIv09umCoWja7n4bbrQ4zqfDO30HWxsbmySUjs+KhQ4fYvn07/+t//S/+4R/+gePHj/ONb3yD+vp63n33XX7+85+Tk5PDt7/9bfbtW8Q+7FlgaECr+CMTcO4E0t+L5ORh/H6kqwM67iLGifj8ODbtfH6yocExpLVJfdp9WZiNO+Y+pr4RIhHMgH5mjA6nPJR0tSOnjugvm17APCGZI2MM7HsFBnufTEvGibAWEI4MweVzSHAcqa6DeAyGh3SXJJADb34Vbl6BcBBxuXDaQTyQLO5L2sZKSxMMJC1zhwc0yI1F9fO9N0C7fgnCIczoMGzcfl8B/OPGOJyw/xUY7IOyqsWfkAYyMqwSuOCYyo4KmqDpOhgH8tFPkN/8BnLlHHLiV5AVwPGl306dSX7U3LkJYyPgz8bkFWiyIY2Mulkgg74QMjKoP0QmIBKaN0EgwwPIZx8BghkfhTWb0jq+qV6uwbtxaDdZGxubp4KMpTZyc3P54z/+Yw4ePMj//J//k//4H/8j2dnZBINBDh8+zO/8zu/g9z9FTTkeALNll7qoDPSqjKOnHQb7kJWNmmkOBjVTe+YztUOsTrOo7WknKwD5RTA8oIWnKTAuN2bjdqSgCDpaMCsaUh8rHkv98xOA8QfA/2T+Tc3G7UhXG5w5pmOztxuiUQ0KxsfUYzo4BlcvaKA/NqyNjWzmUlyqmdF4HDZvh+529d9P5fyRiKsTTXkV5im26DP+7PTsSdM9XuNG5OJJLfSc7Gobj+u/ng5ouwM3L8NQPwz1I9cuYHZmwLLzQamo1vkpvxCz+9BDL7Q1azcjxoEpKFrYWSqRYEqqmFiabNU8iUkHGxubBcn4/mRdXR21tbX09fUxPj5OTU0NX/ziF5+bAB7AUVGN/NM/wWpugp/9vWauCrK0XfXyBpUzRCPqWrGE5h5PO8bphP2vqmNHIEflNU3X9LNYNTtDZWqWY5KOHRJTTfusYqvqOkwsqvpcO0ucNsblxvnW17C27UXe/xGcP6E67vo1mpH/+Kcqlaiq0UxeIq51Bs8RIgK3rup7X7VOi08HetWRZqZMJpADr7wNlqjUo3bF/Adt3KRSGH+2FriKPD87cAtgcnJx/MGfQHc7YhzI0V/qZxSLQEEJ0q0OPhgD+UWYe3pAPC5MRQ288RVwOJdUBCqxGDgdUzJKGezT5nSLuECZ3IJ5ZYVTx+7p1IXPynUYp+P5bmxnY/OckNEg/v333+dv//Zvicfj/MZv/Aa5ubn84Ac/4Lvf/S7vvPMOb7/9Ns55ihKfNYw/G/o6dNs1FoXgOHS04PjCb2Ct3gidLVqwWbXscZ/qfSPxmLqw5BfNkQdI03WVwqzeMNu14e5NuHwGcTihcYO6fUQimLs3ib34OgTy1FYS1f9K03Xt5phbAPtemdLFGmPgXp94m7Sw2luQT38BJz7SjOfdIPLF38TZuAlpWAexGCYnFykuh4G+p36nSAZ6tdNkGhlwabqO3L2JjAxi3B5deMZiSUcaLxx6S3XFExOaHe7rhvo1025I82Dcbli9Abl6Xi1Pi8pgzyE7kEdrBqisRT75ue4MTYR01y4eRX7x/6n1ZEGJZr/TaQb1iFioiFVam9SKdOVaTG4+MjKk46q1SQufD7wKnW3I5TPgcCL7X8X0dUE4jOx5ccnnIvEY1omPdEFZUJSxomMbG5snm4wE8W1tbXzve9/j5s2brF+/nm984xuUl6uubvv27Xz/+9/n3Xff5dixY3zzm99k9epnP/gSy4JTRzWjBBpEBMcBlVtIbf2sAiIZ7Ae/f8rZ4mlAzn0OXa1a7Pbyl9T/GpCh6TbqxkpAstsqAJPuHlYC4gnAQE8nkpNL5MTHWGu2wLkT+pjdh7CuX4SOVgiOYULjYNvaPRAyOoQc/xAundHFpYj+i8V1zHq8U4WtJr9I5U+LHA+n64n1k5e+buT4R/rLhh0LFujK8CBy5SwSGoehQaiqBW8WMjSgD4hFkIkQnDytu0ndneAwcPcmzl/7vfTOpyvZ3XqgZ1rG9JxihYLI8AAmvwgJjav/fcttlccZo8XWsagmA0QwJWXI9YtQUqFe6U+oKYCEgsj5k4BogemWXcinv1QXG4cDyipheHD2XNjerAtFIJqbC8uWtrsow4PQfFsXnJt3zb6vvRnpasMsb9DiWhsbm2eGjATx//bf/lv8fj///J//cw4cODDrvvz8fL7zne9w9uxZ/uqv/or/8B/+A4cOHeKb3/xmJl76iUWGBiAaU7mMCPgDyIZtSDiE9fd/pRm8Lbswh7+ojiE3L2um76U3n55GJtEJ/T8eVy3mZGLK65tqoz5HP9uwHpNIaPAXmYDte7XV+vioOjuMDE1pOWWgBzM2ikQmMOEw5KTuYmizBBxOjNeHuJz6N7IS+rm23EY6mjXQyM3HUd+I2bpnwUNJezNy9jMNTPa9okH/k0Y0OuPnyMKPTY5b48+GugbMigZMaSUSCWvxZcN6TFYAGeoH44T+7mQBq0GC49qwaBHM6nXIjcuY8uoFHUaedSQ4TvjjnyKjI0hJuSYCsvO1qDq/ABxO/Xu0t0B5Jaxci/T3wmA/DA1qk6SCIszel+e1nH1suN26OItM6JiIx/R7VlAE4RBSWokpLtcdzEQCfFnaxO7ODfWB93iQy2f1/a9ck9ZujRkaQKqXa/H0DCtdiceRcye0r8DoMObwFx/iG7exsXnUZCSI37dvH//kn/wTsrPnv4ht3bqVdevW8Xd/93e89957z2wQL4mENmE5/hFUVatLiWXB8gZMSxPiDyRbbFvImc9IjA1Dd4c+JhxCHA4ch7+wsN/wE4LZ/ILKhYrLZi08jD8AL74BoeCcNurGl4WsXAO/+mnSwScMOw4g/+dviI8OIZZgsvMgy4+prUc6WjF+PxSVzXsxs/XFS8Drw+x9RTtHuq5qoxpvFnR3IIXFOhYFpLMNs3Xu0+XmFZUKeLzQ2aqSKuNAfvUzTNUyzLqtaQWzj4zKGkx4i2Z06xfWCJssP7z4phb2lpRjjNGs/PVL4HLB6LDq2ldvgK52ZNeL2mWzsBjrylk4exxTWqGWsvPsTJjq5eoEsgjP+pi2rp4j9MFPkHAIikugcZMuJitr1B++uFylJlXLoK4e89avIx/8WItb2+5ARY06Ao2PzmmWJZYF8dis3hKPEuP2wIHXYWxY50aHE7bshqE+pK8H09+DdLaqxGrtZt1paLoO67ZoQiMWUWME0N/nMQGYRc1yTF83GDN7t8npVDnS+Cg8hY5INjY2C5ORIP5b3/pWWo/zer38/u///pxs/bOCjI0ix95HIhEtZu1sUW1ncbkGs/GYXrREoL9XJ9j+nmTDGFFTgUunkKpabXT0BCKhceTkpwCYnfsx83hWm0COZtVS4XarJr63E2OJfl7tzcRGh2F0BFm5FhOdUP3o3pf1Yj2PQ4p0tSFnPkNy8zB7Dj8Vi5/HhZw+qsFDbb0GTIFsGPGqJMTjVSnD8CAk4simnViffajuG2u3IL2dyPAQcvU8GIEL12H5ag1Akg16JLk4NbtefNxvFdAiQjl1RL3Zt+5Jy2fcBLL1c5nElfTWjkUxWX7ESkA8jikoRpatwIyNwsgg8sO/gdFh3Z0oKsV58PX7P+/+HuTkEcSbhdl7+OnZmUsTGeyHi6exhvohFlOrxvExzO99C/Ol39I58twJHZPl1RiPT3tC3LiotUXVdWozWVAyZ3dOEgnk6PswMghrN2NWrn1076u7A7l0WjPs2/ZgsqbdXkzNct21ab6tj/34Z5BfiExM6EI6OAZZAcwffgfHRDDZCbYb7t6C0soFdxskMgHRCRx7Ds25b8rydmQotWuSjY3NU81j6Z6xfPnTXSg3LwM9yS170a3Q8TH9FxyDrCxk72HM6c80U+T2wPiIZuCthHYTjURUfpNBC7d7kVgMErH71953tMLo0PTPq+7jIul06fscGUbyC2G4XxcyoaB+bpdOa7AUiyGVNZhte3HM410sbXf18xse1AtV0ZPhXvGkISJTemyr+baO05Fh3eofH4PQmP4NSstVcjM+osV4F09D0w2YCGknx7FhdWqJRmBsSL3+ezqR2+P6vKyFW88v+bxjMc2qLqExzhT9PfoPoPU2pGg3vxjG44UDr2mAPjwIP/17zc4nLLWILS3TuoHsXC0CjsXgzFGshvXqt912B7Jzl+a93dmqf5d4TD/rp7j4PSVen35OsZjKRzAQiSChEA5jkIsntW4jFtfA9sBryJljWkzsdkNlDY6X30597FBQA3i0/mCxIP6B58OZx7pzQy2Ew0EYXasNwWaSX6TJnLERdeeKRtSda2RIrwOVNci5Ezhfeg1TWauuXP3dOobqVqk05uQRGB/FbNmFKSlHJkLIxz/X7+M8ixbj8YLt/W5j80zy5LTAexaoqEXam+HGZdUJRyZ0co1G1LLuzi316O7t0qY7Ymn23emCyhqoW4Upq8KxbGXaLykTYb0oFJXOa3UmlqXnkEggR36h0oJtezFVtSkfP+9rRSYQY/R8HU4oW5r1oITGNdM+PqJBYyIGI0OYfa9A7Ur8E+OMF5bDJz9T7WtfNzidyCfvwYbtKY9plq1UjXJOHpLl16CnoHjqs5DbV5GeLkzDuue6iYkxBlavx7p0Bm5dgda7OkbFAp9b3X/WbYUzR8HtRW5c1uDC4VA9eFcbklug2/Jjw5qt7u1G6hpg006oX42ZdBBJEwmO6+JgnoWXTISQT34BkQlk0w5MWdWSstKSk6e7BA4nlKchSUh1jNA4jI0igRw49SkSCkJnm2qe8wo0+CqpwBx8Q7XHfd2A0exqbxfSckt/f+lN9ZBPh+rlKm8aHkAunMLhdD7V3vL3Yg0NwKVTyQA+icPAzctYXh8Siern6nZhVjRgNV2HD36s82ntcli9EevYB+DxYjZsw/j8upvndkF2js4J/b2YVesWPA8JBZEj72ndxNZdacmc5hxjZEgXmUWlmKpl2i01ryCldMW4XJg9h/Uz6O9RYwCPV3cTImFwe5CedsIf/UwtX7s7kHBYJXCgvUba7+pcfvemzmfB4FSthwwNMlOAJZYFV84iwTHM+m1PZYMxGxubhbGD+AxivF4c2/dh9XZplm5moD42DP/4/+pkHY+ppMY4ANEs8vGPYaAf88XfRPq6NZu0bOWU40sqJB7Ti9BEWC9AW3fPfYwIcvwjdXXIKwC3RwO6/m5130h13MgEtN2FwhJMMnsplqW2hKEgUlKO44UXl+aPHI1oQBaLaJCd5Vc5xoYdOFatxTrxK6yxYUxnB3Lwdd129mXp53VPRktabmvWc9U6TFkl5rV39LP46CfIRBizbCVs2qlB4NXz+pwrUcyLb6R9vs8ipmE9tN7RYsFYBDAajFcv16Zao8OIy5P07o+Cy6kFnF1tKisJjumYjUzA2CgERuGjn+h9q9ZhDr6W9piQ4LhKChJx9VBvmA64JByCtrtY0QiMjWiTpM8+QgLZ+p3YtFOlO+EQ1NbPLzU4fwJxOCA7B0f50juMSiSiC8hYVANrf1Jb7HLpGM4vVL/w+tUYlxtr5Rrkgx+By4WpXTElndCDaQMeGeiDlltQUYuZZ8FjCouR3Yfge/8VrDjWUD/O3/lnSz7/J5aLJ2cXGfsDOs6CY8j7P1TXquw8qKjRhd6x93XsYTS4P/aB6uJzC7TGxp+tblg5eZj9r2I27SRVNYGMjWhAnNTKy60r6q2eX4Dp71mylaoM9CHHPgAEadyEcah0xZHGjo9puwvhcSS/AHzVmLJKvSSEx3WslFdjyiqQtma4dAYpKUe8Xi1+DYeQyfFcWAzLG3THafU93WD7e5C7N/Xnm1dSXh9sbGyebuwgPtNEJqC0UoOg2AxnjEQiGQQxdUGfykSZpBVZezPW6aO6zdzZqpmWX/+nWgCVinhMt5hBsy3zPEbOfKbZVMuCqjrV8qZoBCJ3bkBwXGUDQ32acX/lbb3oWRZMhHWL99IZJB6H3S+lrUGXng4tiAxkq2vDlt2YytppD/lohER7swY5ubk4Xv4SvHBArdEq66aPExxDLpzUXybCsH4r9HYi+cX6O6gLA6jbT3aubj/fh5TiWUOiER0zk7aniC6SjEFicTjynv6dhwZ0jOYXQjwKLo9KqFxJxyERzSDGE6qJj8chNI7l8eJ8Jz2rRcLB6Y6Sk1Z7k2d15pgGL9fOg9OFNG7UwBjVHVPTr7ICwIRDsHYz0tFC5O4NpKRiOuPY2QbdbZCdi2VZONJdYPR0Ql83UlapVpITYQ0Y974M//j/6GcWGlfd8+oNU89z5OQhX/5dtUN0OJB1uVqYmJ2nxb+3ryI3r+jfoLMV3vz1+W0SYxHwuGEiPv/3/2klHJr9eyyq46npBuTm6e7PYB9cPq3jUZhOhgwPq4+8cehCILcA6WjW44yNqGY+b25HU7l1VS0svVladD8yhNy5qYvau3GsyjqW7HETDkKyO6qc/xx8PsTpIlFQBLEYjk07MfcmIO7cgNFhrOFk1ry4AvPCQc3kR8LQ2Ypv7UbCcQuJx9XBaCKkLj4XT+p3LZCDGeyfPuhAny52b12ZbeebnatzYDJxIpal0hyX+6nuT2JjYzONHcRnEOvEx8inv9SLkjNFSD15IXI49OJkHOqH7HSq1tPtVk3n8BBEJ5CxYUxv57yaWOPzq5Shrwvm0X4at0cnc6dTLwA5uRh/QAvDZp5af4+6QYBeZO/RIBuXC7btU63q8CBy4lfqhLDvlfQ+nM+PaPDS0Qr1q+HqOdVfo0G82bIHR08H+PyYoAZ4Jrdgbotxt2f6whTIVg/wyATk5GM2bEf6e6a20Y3TqXrm0DjkPN/+8tZQP/K339MdlpnLPUs0YDr6S3WmicV0UZmwtPFOIFuDJa9vegfJldwdKirWv8VAj0pWIrrIW2j3aBJTXAaNGzWAb9x4z51Gd66iESjMwXi92na+vRmzcg2TgZMiSDiEnPmMmD8L6WzH7FXJgjhdKgkaG9Xs7z3+2amQSEQXCGKpi1QwmAwaDcayVFZTUqGfS/2aue/LGD1/kg2ekt9L65c/1GCstwtTWqEF7wt0a3YUlmAdfhsGutM676eKvHsW1Mah4yCQo3PPshVw5YKOxUlcbp03J+ex3S9hauu1YNQf0IZxBUXz9pGQwT79IRLWOdYYHc+hcd3xO30Uduxb2vuorNWuxrEY0t+ti4i7t+DKOcjKwsoK4Ny5f+rhVn+vyhk9XkzNCv1XVIqZzKq73dCwHmd+IfT3Y9ZvQ25dwRSXqQXxQJ/KjnLzoSG5eEwkF9KorfHMq47xB+DQFyAWwWTnTjfOA3jGJFo2Ns8rdhCfQaTpuspgJlTHiMeb2pvaEs1yi6UTt8ejGaI1mzA5ear/PXNcg9xFHAXMsnpYVj99DkG9KM2UGJgv/67KbtqawR/AVKZYFHh904uLtVtUe1xUMsumzVRUqxVc0w197MyL7EKfy9iI1gJM6OLATDYUcrq1hsCyoGY5WV/6LcIf/BRq6ubN8BuPFw6+DuMjSFGZSj30VbSZyfKG2Y93JfXezzvNTVpIHRzTsQdaEGwl1CZRrGRm3DAVJCcszcAXlcLKNXD1vC6YHA4oKQOfX4OIrbvVlaZulQZbaWIa1uvOzmRGfpItu/U7NBlgbdypnu0NM+QCOw7o/XWr9D0kFw6zNPMVVdB0Ffw5uruQDg6H7jjEoqqzDo2DlcBEI5hANmb1BuTmFczqDWm53UhwTOs7Egm9obYes2mnOpgsYiHpWLsJ2JTeeT9NxO+ZN6ITgNFAvrgMKmrh4tnZj3E49e+CBfE4jpoVGsADpqQc89LcDqUSDmnW2e3GrNmIWBYmLx/yCzHGYPYc0vlnbDjpELY0jMMxtQB1hIJI8y2dE1ubdEcgHtVs+uQ4ab5/w/hzAAAgAElEQVSlC15L1P99y9zFmYwMEe3vQrLzVK61I7kIGOpXV681mzE79k9l0o3LBZt2qBVvCgtV4/VONxSTGYtfmfNQGxubpxA7iM8kdQ1w+lOV0uTma2CessGMJAP4GVlyrw9uXkGyApgVjZjf+Wea/XM4dBu0u10fK+p8k6rAT66eQ25f06zzgdegu0PlOaNJF5LqWnC6oWFuwZfJyYP9r+kWcVlVygBDbl7G3L6KlFdroL3phfQ/m+rlEB7Xz6iyRhsDDfVrsyDAiIV4PZhEDJpvI8tWYlJsi0Myw+QPaLi55xD0dEHl0op0nzfMigYNSicD5slGT6CSmSlSXN1D4xr8Oxyaga5bBavWwdH39feeTigqRS6eAgOyeRdmoFcXgQu4fliDfcjHP8e43MiW3ZjCIkwgB9Pdrvroihp9zaZrJO7ewOQVqiuH0zlbT57ccfE5hLBHX0+6O7TIubRSNf/rtqT3ObndsO9VGB5AojENLBNxqNNic2NZ+hnduIiUlC8o05J4XHfmohEkJw/HyjWYimq7wHCoP8WNyTlxoAeunJ1d9Aqa7PD5NTEy2It18TQOjxfKKvVvfeYYEgpiyiow2/fBQK92TfV64cDruqu3+6VZhzRllciew3DzkrrFDPTOW2S9KGMjcOe6LtYaN0JPp+rsz5+A7ZrhN14fsmylBvopim4lHsc6+j4RI1g5BTj3vzp958admJIKTF4B5p7dBrNspdYBLcaK1Rr0u9zz1mPY2Ng8XdhBfCa5fVW7tCbiuvU52dE0FR4fVFaD05PMzoQhJxfiEeSTn2M8HsyK1frYq+e1+cfwEBIIaEfJg29M68mTyKSd3tiwShs++wAundHdgUAOlFfDitWAUQvHcyeQsRHMxh2YwhJMXgHi9WkL8JLyOQsF6WzTbWmPF8eO/ZhAjjoo3L2pjX5qV6R8qyYnD8feQ6pz7mjRi/jel+/JDIkW1Oovs+sJFsDkFtiZ9jSQK2eT2+5GA+N4ep8voFnxzlZdaOYXYzZsh827kBuXdNHncuuxoxHNRl67iHi8WnT88pdSn09kQh1HWm4hhaWqx8/J1fEZSAa5o8MqlbhwUqUoviyVImxUpyK5eg7p7tCseNUyXMXFmP5kgNjXhRFBcjSjKU4X3LwMFTW62xWPw+UzurjdsF3tM5OYnFwkHMRc+FwXOpt2YCalM/eM2YU/dGsq62ycTsz92LE+i/R1pb7dstRmt6t97o5ONAJFJWqH6nbB5TOIFVfrxZtXtBg7FER6StXqNJCNhMd1Lhwdgrs3kmNlI6aqVoumj7wHLXfA4dDgdoGdERHRPgrG6G5K8rHS0oR0tqrEx7IwPp8mSeJxEAuJRqclLms24fAHVNNekKq7sUBXO7HxYcgtRPa9MvU6xuWCmgezZjYOhy7AbWxsnhnsIP4BkciEOqNgoKt1OnAPjS/8RKcTVq4HSUBNncpmutq1QVQgW/XpJeWaIU8GtxIeB59PA9zgmLo6zMA0bkKuX9TtZX82ltujFx3j0Cx+dg4mNI6cP6HBUkeLHrfpOqawBBnoxfr0fTAaeJtDX7jnpI0GVlnZepEC5OIpLYRtuoZ87Q81O5YCU1oJQwN68RzohUunMftewYilF+9lK/Hk5WKCIc2y39Pp1WbpSCyqchXQQCcWmVHUeg/GzBOUJkOQ0RG1Qd20HbN1NyaQg/UHf6JdTCdCyIWTSTvGsensdV6BShhSFZSGQ4jHo7tGDsfUlr/092jXV5dL7UivX5haIODNSkoqkt+729f05xuXZhXqiQiSFUBcbrV5dDrgzDG1v2y+jXn1y9DZgrQ2IQkLExyHrXtm14kMJDstB7Ix2bnTlqXlVeo6U1GNKVpE6ub2wM4Daim7zA6epnAuILmKx7Wgenhw7n2xmI6TiTCEg1qoPVngORmA5xao7KSkAo7/CjDIlXPIyCDG6cK6cRHTdgda7+h4LS7FOJyYnQcwC0kXW5t0pwkwxgG1K7AG++HIe0h2Hng8urvo9WFqV6qEa6AXVjRowuT6RX1vazbNWzNiXG5MaQXOgJ+YJ0u/Q3bzOhsbmwWwg/gHQLraGPvJUSwMZstuzRKly0QIzh2HQAC27Max7xXNHl0+g3X9ovoPT4Q1iF+3WbXgDes1aMrOUe3oPZjSCi2aS+LY+zJWQTEEx9QKb7BPg/+eDm337c/WbpZllchAr9ql3bmhBYszMpNiWdDbCYEApm4VEg4jR95DJjP3rU2Ix4vj8tmFbcxq6+HUUe0I2t+NGR3W7qGT5+/RAkabB0cG+rA++TlBvx/ZdUiD38g8ATxoAO90TRf8AVNZe1C7yfExOHcCS8CxvAGzco12OIWpWgTrsw9VZzw6AqUVuqhNIakx+YU41mxCKmowazZBVzvSk8yqG6Nt5AELUZvI3i5YvR7TmCzoc3t04TvYN10YOPlWLp3RRbA/AHmFqvnvaNXdgcls5uTioaMFCY3povvlt6edYJat1B0jp2u2VOvyWe1v0N6MrNuqmuMFMKWVKumxmaYoVRY6iZXsVDpZQzDJ5GLfH9AEyEQELp2FDds0WC6rgsJiHJt2QkUNDA0g1XU6nzVd12C4qEQD9dYmxOvDxKJqo7tuy8IBPMzO0juMWuYe/0jn1P4ezAsv4thzCGm7i3zwI0xJmfbiMAZpvTO14DReH8xwNJrzMtv24O5qJZpbaHeftrGxWRQ7iH8A5NJZIic/hbEx3a6/JzO+IJboxWciRy8Ck63e123F3LmBGM0eymvvqK54w7bUFpILUVCkkhunU324+7qRaxegrFLt8A69pS3kPd6pbp5U1WJy8jE7D04f5/IZlUk4nLB6A6a3SwOc4UEtdK1ZAV6POpMscDomy49j6y69oLk9sxYKNplFbl+Fy2cIjQ4jnW2Y0kp1VpnstpuKRFwziCLJoCWZmXc4dDcnHFJZzcQEEgmrf/s92/Nm5wENgM8cg+52JB6banBzL2b1hunxkpuPSfpcy41L2m2zYR2mpk6LlwuKMLtenLJkNA4H7DmMRCZmdXOVsVFtWNXfowW5Ow9qRnb1et2USuqiTUERHPoi8tmHmNC4vndrWodt/IGU522yc5CRQS2ETKOw1SYFC8nfEgmm6zJmjEFBM/QVNSqL8np1PI4OaeFxQZFKrSaTAqUVmPXbYbAfyc7R7tAFxZjGTVrX0NOpO4EzTAEWpGZFcjfGYKrrtB+FZeluTzSKjA4jiQRy9wbEIkhnK2bNZq0ZCeRMv5fJeX4eTNUy/Ju2EepPVTdgY2NjMxv7KvQACBbS06VZol/9TAviJptrLPrkpN1kdAL6e7G62nBU1GjmJicfMza8oAVdWnR3TLu33LmpDiO3rkJ7C1ZRGY5l9eBxIhNhrKvn1Gt41TrM1t1aZ3brKmTnqMsD6MWycpkWMZ48Al4fjtoV2nFwqC+pt1+ENZsxSYu+pXTftFkakuWHnk6V05w9gXz9/4I9L6kO/V53kJkkYrpYy85VvXssonUe7mSG3uXSotNYbJZz0STG5YbSCl3UJuJLHsMSiajWHpBrF3Ec/sKUrl7GR3VR4HJr0eixD7To1ePDsWEbHH5TrVkLitWrvbIWx/qtmjVtb9bx2dWmxeNVyzD+AI7dh7T5UnHZoll1ALbs0mx+bsH8TaZsFsazkAXpDEmXy6lBvYgusLL8WugfyNZsfWGpSnMcMe0N8dZvzDqSyctH1mkfCQAz1I/paFY5GNo3QULjEA7rfObxYvYeSlmMbYyZ1QzK+LJUKhUcQ9wezeon4piaFcjIsO6UJheXpqgEXnwd4gm7X4WNjU1GsYP4B6G0Eo12Re37zn229GMkG7/IT96Fb3wXAPPCAdXHl1YuakM3HxKPq71dwgKXC8nNQ/7q/9bmN/5szZIe+oL6bg/0YoJj2vHQl6VB0sVTmn0H2L5PL1oFRaobzsmFN746fW4V1fovDYwxUFJ+X+/JZgnUrJjWuUcnVFZQWJL02V4giJ8sLh7qm337pJY+kbSldLtTSrogqQXfe1iLu6vrlnbebjd4fCq3qluF3L2JtDQBgnS0gC+AaVir35mBXhgcgKwsLTAUwRSV4tiwXWVjSUtKs3U3bNmlBeLJDr74/JiiEt0BW5uecw2gOwG2PObBSLfexTjB657ufN3brY5FGCguVynN3VtacOp2IWu3QMFuxEpgNTfBhz/SOqCi5HxjDBSVICNDWCePYFpuq+d/bt50vcgSOreaskp486uYOzc18+/xavfUulVz5u05/S5sbGxsMoAdxD8IWf7pLfiY6mSXTCKhC4DeTqxf/KNu+48Mq37z3oZMoaAGJ8VlmrFvua2SnFXrVDs/k0unkaZr0NsDK1bBmc/UvzgU1AY4LhfW3Zs4xkYQb5Zqhwf7sDpbcUw2VgHAYLJzMPdYON7v4sLm0WDcbmRSVyyiretnFEk/EIkEnPgYa6AX3vl9zJlj+povHMQEcvTn/CLIn1/7LMODaslXWomZGeiPjyLD/TpGx0e1y69lIZeSTjJuDzIyABgtzM7yQ04BEgoSfPf7WCXlmLVb5hQPGmNUWz9Jmt1bbR4C6VpsetxQuQzu3gCMOio5jOrb8/K1gDoaSXb/9cHtq1huD/Krn0B/rzb58vmQVeswL76BqVmOcXu0g3VvJzLUr04xxWXgi+ricWgAuXtLpV4z6ovmw+QWwObZVrvzzY2SSOh8nVeY3q6PjY2NzSLYQfyDEI8v/ph0SCQgEkFGh+HoB0h2rmaJCovVThKQiTDyyc8hFsXUr0HqVqn1HmgB7D36XYlFVUrTfBtabqq9pNOpW9m5+WpxefWcOthU1OA48Dpy9RxmqF/11C++qX7WgRw7i/QUYgCZmXEPhWZpvu8bK6HBk2Vpdv/uTf0doLMN0rRRlAsn1fq0vQVKKqaDmnhcd6HiMbWqXLdFg/3xUdVAl5TrTtK1C1pTUbcKU1OH3LxC9PIZpLRS5RCpigdXr9cakSz/PBZ/No+EdGthguM6N3q82ntjIgwnPoHsHA3eB/qm7SqTEh05/isYGkyOyeQuVGhcC5Ira7HiQZ0XB/o0mK6sxWzeqXa5oSDywf/R41y/kFYQvxTk9FE1FQjkwEtvpXZtsrGxsVkCdhD/ILz3D5k7Vk8nhD6B8irtRlpbP9udIDox5Z0u46NaVJjsCDuZ/YSkn3E8jtm4Hbl1Bbo6NPDy+eGVt+HGFT1Oll8vkn3dYCUQl0vbew/1qxvNnZvgci3YrMfmycW6efmeW0QDoUwRDmngNNmdGKAsfZmJCWRPFYiK0wmxmHbWLCzGrGjUngfL6nHsPIAVyNFg3x9OSrdq4MYlHb9OJ1JeA5fPI+EJGBlC1PB19rsfHlQ9fHk1ZrBPCxNr0yxqtMkspz5N/7F3ruv/DkeyzwEalBuHBvMeL7i96oQ0NAA3r2hm3ueHsgq9Lzcf8Xi18VZHiy5Aq+u0+dGazdMLSK9PXYvGhh+Oxe2ke1koqOdgB/E2NjYPiB3EPwjX7w2UHgAroZnJsREtHnS4sHo7MYkE0nQTsrPBm4VxuTDrt6pc4OAb2vAmFtWt40AA+fSX6uyxeRfmK19Hcn+ojiI+v1qtFRSB16Paz+CoyoAKy7Tga+0WpKgM89mHyIlf6YKgahkcesvuMvm0cfyjubdZibm33S9iadb89FHkhYMqYZnhvCHjo8iVcyoJW7N5rsRgy25tDpZbgJw+ivR2Qv0aDdJfegtHOKg1GA4HjsYNWO13ob9bx/GFkxrE5Rdi1mzCxKJYubmYwV7N0nd1wOqNs0/3848hMoGcPa41HaCFjOV258pHzq2rS3/OzF2kibDWd4AG6WMjml1PJFRuONmVeGwE1m7GbN+PRELwi3/UullfljaOOv851pnPYMd+HMWlulu57xVtvleytCy8xGLgdGAcTqSvG2m7qzVGy1dNJWPMlhd056q8Rvsg3Cdy+5q68qzeOOs7Z2Nj8/xhB/EPRAbkCXMOmYBoArrb4f/8rRbzTWag6lZCwwyZQDw+3bApFsNs3IFcPK2NdNqbYfPO5DazUY1xOKgZ1A3bMDiQQC4M9mKSCwRIdqt0uVR7Kkb/f1CXHJtHz437CJSWyvgo3LgMd64jOw8gL789ncG8cQl6OtT7vbRyTjGjcWqBqMRjU+4hcv5z7bzp9iAbtsPpY0h+geqiMYBDA7WJkBbALl+l1qnXL4Lbg8nKUuvSVK5HzuRUNzN4ctjuMo+F1qYHP0ZoXLPmPR3Thdo+3/RC1bJ0rBiDjI/AlXP6u9sLB1/Xv/3ffU+TGB0tWPmFmPwCWNYAIwNIfhHsfzWlvl1iUeT2dRgd0noOh1OlMl4vsusl5LOPdBx7vPDCQcyO/QDqRb+YH/0iyNAA8v+3d+fxMZ1tA8d/k32XfZVEEIKklYgtgtiXtpSqUh719i1PH7pSraW1VlXfbqq0pYvSoql9qYfEFvsSIZHYIsQSIZGQPSOZef84cuSYIIiMZO7v5+PzMSdnzlznGJPr3HNd950UJz0o1aBqGf5YxxMEoWYTSfzTqrRUWuAmO0saWTJSQV4uWpVKWjEQ5K+Stfm50kqsxsZgaS2NRmVnwrZ/pBFTO3tp9Mq9rlQD2qqjNJITfxitmxf4N5VGRZHmcqddV2l2Eo0WlYOzGO2piQofsGLwo7C0kpKe8rX2xUWgNYPCQriRhdbWHu2V2wsrgZQ0lSv3upvKxBQaNkGbdgGtiRmqErW0EufBXXAxRap9dvWQap9LNdIourWt9F728JZGPv0DUV1KxbTJs9zya4LKp57u64R1lv4/ObujysqQVtis4ppnoZLU91l0rDJUKrCpI9/8yTRaqWm2qFBK6K1v904kHpUGLyzMwT8QSkqhMEe6sSstkcoLC/LRmplD6hlUZSvGlpYqbvq0BfmQcUV6r8YfhtwbaP0aSQvpaTXS697Ilj6rNaVSuUxVNJKXZ2EpNfaW3JIW/RMEwaCJJP6ppZXq1bWa26sVqqSRz/xcuQZZZW6OJrwrbF4l1ckf2oXRcwPR7PgHDuy8PSqlkkbjjYylX1juXlI9clEBFBeiKi5Edf0a3E7iQVoIRzT+CTpMzaUyg0vn74x4arVScl+/kbSC745/IPEIGJug7f8vVA4uD2xkVDUNlkq58nPR7t0O509Bepr0fndwkl4DlTSLU2kJ+DZA5e6F6tmW0gFuXJdG562sUOVmozLx130NKxupCRakWmqh5rK1l3qE7nbr1p0bBI0GNBnS+0Wtlj5DC4wh6QgcjLl9nDpSeU1RtvS8+o0hMEQaVdciTS7QIEA+vHZvtJTsZ2XeqWc3MpKmlVQXS9OWetZFZd8LracPGN1eZK8KqSytIKKX1A/yJOr2BUGoUUQSf9uiRYtISUnBz8+P//mf/9F3OLd/CZVrRNRqpZKYYweh9wCplrggD/ZEw4UUqdnPzgGVR11ULm5ovXwhKxO8/aRfVLnZ0i+ysuYqC0spsdeUSnXEgvAgOdkVrPiqlUYtV/6Odv926T2lRXr/pp6FowfRWlpC+x7SkvP3obK2BWdXtFcvS4m/vSM4u2HUrguaG1nSez3nBuTno7K0vtPQbWF1pzRGvJdrv5tZFW/XlitvLC2REt3yi0eVlkgj5WWyy62KWnxLqle/kAKlajC3RLs7SprOt87t2bnKZiNz80JVvzEUF0nTVjo4SZ+/ZezsUbVo91ineD8qKxvxPhcEARBJPAApKSkUFxczffp0Fi5cSHJyMg0bNrzvc0qvXK6m6O5SXITW0kYaUczKRKUuRuvpg8rWDlWo9ItD1bApFBWhLS5GFRCI9nomJMaCpY20jD23E6aIXlBYgEosviQ8rsICuHheGpV094I6DtLCSFqNNBtH9nVp+4P4NkSVmS59e1SvIapnWqGysMTI1RNN2gU4nYiqjj143kmaVLZ20LEXllYWFBnfbzVQwbBoH7xLmRK1dNNZeksa6TcxkVb+TTiMKrwbAKrWEXDlAiqvencSe0EQBD0SSTxw+vRpgoKkhtGgoCDOnDnzwCSeyf+phsgq8GwrjExvTz3p5inV+KqLUIWEyQs+qer5o6qnLCnQtusCKpVibmKVjV3lF14RhPtRGUnN0Z4+GA8eCdxuwosrkGrYK/nVv8rRGVW3F3W3W1hi3PMlNN1eRKW6vXJq+Z/b2mHs7AyZmTrPFYSKqaS1M1QqqSxGo5Hex1bW4OUjlRWWW0RP5eAklXcJgiA8JUQSDxQUFODuLo1GW1lZcenSJcXPo6OjiY6OBuDzzz/H2dmZq4/9qiowvj3bRlmjqvb2LxFjI7CywcjBCYt2XSgpvYU6JgqzwBDs//ORcsaEPgMfO5KnhYmJCc7OzvoOQ7gfYxMIanlnju6SW7cbDW1QabSoQu/MlqFycELV+fkqfXkjYzGjjHAXc0uwt5eaq1VG0g1jfo60oJOpGTi7g0oDN2+Wm8nGCrq+IJXIZKaDX2NpVWtNKaqOvaSFwfJywMlVv+cmCIJwHyKJR0rcCwoKACgsLMTKSrnAUdeuXenatav8ODMzE+OF6ygd0adyL+DkCaFhUL8hOLmBkysqSytUxUXSdI4mphjdtfCHtlSa3aD4dsJu3LUfpcD169cf/USfcs7OzmSKkdTH4ukpLbj0UO9PD1+wtJBm/IjoKd1E2rtKo+IqUJlbSGsRGJvcc5VJrVYLGo00daQg3Eel35umVuBgD46uUrmLhw8EBkv9EloNuHkDGlQWVtK866amigXyNNmZYGmF0V0L1mmLi8FIJa21UX57207KARJLsdCdIAhPN5HEA40aNSI6OpqwsDASEhKIiIio1POMF657vMTTylpnZckyIhkSHtdjvz/LuTvh0fm56nZpgiBUQlW+N+/FyKHib/XkFVrv3l7BnPCC8CgqPYByD8YL11VRJEJtJ5J4oH79+piamjJ58mR8fX0fXA8vCIIgCILwBDzuTUBlPX5Z8JMhbmIqT6XVah+ihV8QBEEQBEEQBH2ruMBVqLTx48frO4RaQ1zLqmdI19SQzhVq/vnW9PifFHFddOnjmhjCv4MhnCPU7vMUSbwgCIIgCIIg1DAiiRcEQRAEQRCEGsZ46tSpU/UdRE1Xv359fYdQa4hrWfUM6Zoa0rlCzT/fmh7/kyKuiy59XBND+HcwhHOE2nueorFVEARBEARBEGoYUU4jCIIgCIIgCDWMSOIFQRAEQRAEoYYRSbwgCIIgCIIg1DBixdaHlJKSwunTp8nPz8fa2hp/f38aNGig77BqjeTkZLFiriDUQuKzU3iaifenUBOJxtaHsGjRIkpKSggKCsLKyorCwkLi4+MxMjLi9ddf13d4NYpGo6lw+8yZM/nkk0+qOZra4cKFCyxfvpzCwkK0Wi0qlQorKysGDhyIr6+vvsOrUnv27KFdu3ZkZmayePFibty4gbW1NUOGDKFu3br6Dq/K1fR/W/HZWbGioiK2bNnCmTNnKCgowMrKCn9/f7p164alpaW+w9MbjUbDwYMHOXPmDPn5+VhZWdGoUSNatmyJsbFxlb+eIbw/q/ua6pMh3ZCJkfiHcO7cOaZNm6bY1qpVK6ZMmaKniGquYcOG4e/vr7M9NTVVD9HUDj///DPvv/8+Dg4O8rasrCy+/fZbpk+frsfIql50dDTt2rXj119/pU+fPgQEBJCWlsZPP/2k83+0Nqjp/7bis7Nic+bMoUOHDnTu3BkrKysKCgpISEhgzpw5tXqVyQeZN28evr6+tGvXTk6qExISmDdvHu+8806Vv54hvD+r+5rqS/kbMi8vLwoLC9m+fTs7d+6sNTdk5Ykk/iHUr1+fBQsW8Mwzz2BpaSn/J/Dz89N3aDWOl5cX48aNw8rKSrF9xowZeoqodjCUL9bUajVXr14lNzeXgIAAADw9PWv1+dfkcxOfnRXLy8ujdevWGBlJ7Wk2Nja0bt2af/75R8+R6VdGRgZvv/22Ypufnx+TJ09+Iq9nCO/P6r6m+mIIN2TliXKah3Tu3DnF1zSNGjWqVf/Rq0t2dja2traYmCjvI0tLS2vdV3vV5eLFi/z111/k5+ej0WhQqVTY2NgwcOBAfHx89B1elZo/f77899deew1ra2sKCwv57rvv+Oijj/QY2ZNRG/5txWenrt27dxMVFYWPjw+WlpYUFBRw6dIlunTpQvv27fUdnt6sW7eOpKQkmjZtKn9DkZSURJMmTejbt+8Tec3a/v7UxzXVh99//53i4mKdGzJTU1OGDx+u7/CqnEjiBUEQBEFPSktLuXLlilwT7+HhIQYygJycHJKTkykoKMDa2poGDRpgZ2en77BqNEO5pmU3ZGXn6e/vX6tuyMoT5TSCUMutXr2afv366TuMamFI5wqGd761TVFREVFRUTpNeKKxVUNSUpLiuhQXF9fKJszqYkjXVKvVotVqKS0tRaPR3HMijdpAjMQLQi1SUVe+s7MzderU0XdoVc6QzvVeTpw4QZMmTfQdhvCIZs+eTYcOHeRZUcoaW3fu3GnQja1z587Fx8dHMVtMQkIC58+fr1VNmNXJUK6pIcw0VJ4YiReqzYgRI2jZsiUjR47Udyh6kZSUxPr160lJSSE7O5tRo0YRERFR6efv2LFDUQte3meffcbu3bsr7MqvjR9e95qBoDaeK9x7StYVK1aIKVlrMNHYWjFDacKsToZyTQ2tsVUk8bXMwIEDK7XfwyaQGzduxNbWlg4dOjxiZJU3adIkzpw5Iz82NjbG0dGRZs2aMWDAAFxdXZ94DE9CUVER3t7edOzYke+///6hnx8WFkbz5s0V25YsWcKpU6do0KABS5YsMZgPL0P7oBZTstZOPXr0YNq0aTqNrd27d9d3aHoVGhrK559/rtOE2aJFC32HVmMZyjU1hJmGyhNJfC3z1ltvKR5v3bqV06dP85///EexvXHjxg913H/++QdPT89qSeIBnJ2dGTRoEAAlJSVcunSJqKgojh07xpw5c9Bsj88AACAASURBVLCwsKiWOKpSSEgIISEhgDRn791KSkpYvnw5u3fvJj8/n7p16/LKK6/IibuZmRlmZmby/sXFxcTGxtKnTx9UKpVBfXgZ0rmCmJK1tgoPD6dt27aisfUuffr0ISIiQm7CdHJyIiIiolY2YVYXQ7mmr732mtzYeuXKFaytrenatWut/d0gkvha5u4kOyEhgeTk5GpLvquKtbW1Tsyurq78+uuvJCUlyclwbTJ//nyuXr3KO++8g5OTE3FxccyePZtZs2ZRr149nf337dtHcXExnTp1ApQfXmlpabX6w8uQzhVg/Pjxihu4MhMnTtRDNEJVEY2tFTOkJszqYkjX1JAaW0USb+CKioqIjIxk37593Lx5EycnJzp06EC/fv3kOdxHjBjBzZs3ycjIkMt1PD09+fbbb1Gr1axatYq4uDiuXr1KSUkJvr6+DBgwgODg4CqN1d7eHkAxt3xOTg6rV68mPj6ea9euoVKp8Pf3Z9CgQTrlBzk5OSxevJjDhw+j1WoJDg5m6NChjBo1ildffZUXX3wRgIKCAiIjIzl06BDZ2dlYW1vj4+PDyy+/LC8sVNXS09PZs2cP8+bNw9nZGYCePXsSHx9PdHQ0b7zxhs5zoqOjCQkJUazi6efnV2sT2bsZ0rmW/zcur7b98jU0ZSu2durUSazYWs68efPw8fEhPDy8Vq8uWp0M5ZqKFVsFg6HRaJg9ezaJiYlERETQoEEDEhMT+fvvv7l8+TLvvfceAP/7v//LwoULcXR05IUXXgCQv9bPzc1l27ZttG3bls6dO1NcXExMTAyff/45kydPplmzZo8cW05ODiDNo3z58mX+/vtvXF1dFYl0Wloahw4dok2bNri5uZGbm8vWrVuZNm0aX3zxBZ6envLxZs2aRUpKCt26dcPb25tjx47xxRdf6Lz2jz/+SGxsLD179sTLy4u8vDxOnz5NamrqE0viz507h1ar5f3331dsLykpITAwUGf/ixcvcvr0aYP+RS8INZ1obK2YoTRhVidDuaaG1i8lkngDdvDgQRITExk0aBD9+/cHpEarhQsXEhUVRc+ePQkICKBNmzYsWbIEe3t7nRIXe3t75s+frxgd79mzJx988AHr169/5CT+4sWLOqPPXl5eTJ48WVFWUL9+fb777jv5lyBAly5deO+99/jvf/8r33nv3buXs2fPMnz4cHr37i2f69dff8358+fl52q1Wo4cOUKPHj3417/+9UixPwqtVotKpWLWrFk6q9hWVEYRHR2Nk5OTTqOrIAg1h2hsrZihNGFWJ0O5pobWLyWSeAMWGxuLsbGxnNSW6du3L1FRURw5cuSBI8/lv86/desWRUVFaLVaAgICOHbs2CPH5ubmxogRI4A7I/Hr169n9uzZTJs2DRsbG0CZ4KrVaoqLi+Umz5SUFPlnR48exdTUlK5duypep3fv3uzfv19+rFKpsLS05MyZM2RnZ9+zjKGq1atXD61Wy40bNyoceS9PrVYTExNDr169FDcvwsO5du0ab731lmKmprJpPL///vsaOwvSo3jS0582bNiwiiKtXURja8UMpQmzOhnKNRWNrYLByMjIwMnJSWemF1dXV8zMzLh27VqljrNlyxY2bdpEWloa5dcOq2gEubIsLCx45pln5MfBwcE0atSIjz/+mPXr1zN48GBAKpNZtWoV27dvJyMjQ3EMLy8v+e8ZGRk4OjrqxOTh4aHz2kOHDuWnn37izTffpH79+jRv3pz27dvLpTmPqqioiPT0dEAaec/MzOT8+fPY2Njg6elJeHg48+fPZ9iwYfj5+ZGXl0diYiJubm60bt1aPs7+/fspKCigc+fOjxVPdbtw4QIrVqzg7Nmz3LhxAxsbG9zd3WnWrFmlp0Z9WiQmJup8ZWttbY2bmxtdu3alS5cuqFQqPUX38J709KdCxURja8UMqQmzuhjSNRWNrYJQSdu3b+fnn3+mVatW9OvXDzs7O4yMjIiOjiY2NrZKX8vf3x8zMzNOnDghb1uxYgUrVqygc+fOBAUFYWNjg0qlYuXKldy8efOBx6xoweKOHTsSFBTEoUOHiI+PZ+PGjaxdu5a33nqLsLCwR47/7NmzisQvMjKSyMhIOnbsyOjRoxk1ahSrVq3ijz/+4Pr169jY2NCwYUOdkfmtW7fSvHlzuQG2Jjh58iTTp0/HwcGBjh074uTkRHZ2NmfOnGHVqlU1Lokv06NHD7mBOi8vjwMHDrBgwQJyc3Pp16+fnqOrvCc9/alQMdHYWjFDacKsToZyTUVjq2AwXFxcOHXqFEVFRYrR+GvXrqFWqytVTrB37168vLz44IMPFNu3bNlS5fFqtVo0Gg1FRUWK12/evDlvvvmmYt8///xT8djFxYXk5GTUarUi2SgbGb+bo6MjPXr0oEePHuTm5jJhwgRWrlz5WEl8s2bNiIyMvOfPTUxMGDhw4AMT2rtHgGuC1atXY25uzqxZs3S+vs3KytJTVI8vICCAdu3ayY979OjBu+++y549e2pUEv8gjzv9qVAx0dhaMUNpwqxOhnJNRWOrYDBatGjBzp072bRpkyLhWLduHYBiLnYLCwvy8/N1jlH2y6esMROkGWOOHDlS5SNwCQkJ8hSW5V//7tH048ePc+7cOUX5S/PmzYmJiSE6OlrRA3D3L8uSkhJu3bql+Crb1tYWFxcXrly5UqXnY0iuXr2Kt7d3hfWXjo6OisejR4/G09OTl156icWLF5OamoqbmxvDhw/nmWee4ejRoyxbtoxLly7h7u7OyJEjFYuXZWRksHbtWo4fP05mZiYmJiYEBAQwZMgQvL29n+h5GhsbY2trq/P17eHDh4mOjubcuXPk5uZib29PWFgYr7zyCqampop9Dx48yF9//UV6ejrOzs68+OKLZGRksGLFCsVNYEJCAitWrODChQuUlJTg6OhIUFBQhdORPo6qmv5U0CUaWytmKE2Y1clQrqlobBUMRqtWrWjWrBnLly/n6tWr+Pn5kZSUxL59+wgLC1M0tdavX59du3axcuVK3N3dsbS0JCQkhNDQUBYuXMiXX35JcHAwmZmZbNmyBS8vL9LS0h45tvz8fGJiYgCpsTUtLY0tW7Zgbm5O37595f1CQ0NZs2YN8+fPp1GjRqSlpbFt2za8vLwUyX3btm3ZsGEDv//+O2lpafIUk9evX1e8bl5eHu+88w5t2rTBx8cHCwsLkpKSSExM5Pnnn3/k8zF0Zd/6nD9/vsKR27tdu3aNb775hs6dOxMeHs7GjRuZPXs2o0ePZvHixXTv3p3w8HDWrl3Ll19+yfz58+Vk+OzZsyQlJdGqVStcXV3JysoiKiqKKVOm8PXXX8vrDVSFwsJCeSrU/Px89u3bJ8+CVN62bdswMjKiV69eWFtbc+rUKdavX8/169d599135f2OHj3KV199haenJ6+88gpqtZqlS5fqJMOXLl3i888/l9cvKOthOXLkSJWdWxkx/emTIxpbK2YoTZjVyVCuqWhsFQyGkZERH330kbzY086dO3FycmLAgAHylJNlBg8eTE5ODuvWraOwsBBPT09CQkLo2rWrPDf70aNH8fDw4I033uDcuXOPlcRnZmbKDXYqlQobGxsCAwMZOHAgdevWlfcbMGAAJSUl7Nmzh7179+Lj48PYsWPZunWrYupIY2NjJk6cyKJFi9i1axcgjc6//fbbjBkzRi6xsbKyomvXriQkJHDgwAE0Go08CtyzZ89HPh9D17dvX2bMmMFHH31EgwYNCAgIIDAwkMDAwAoboK9cucLUqVNp2rQpIM3eM3XqVObOnSsnuQBOTk58++23xMbG0qZNG0Bqgi77e5kOHTowduxYtm3bpvPefhwLFixgwYIF8mOVSsWAAQN0Znx69913MTc3lx9369YNDw8PIiMjGTp0KE5OToBUBmZnZ8fMmTPltRjCwsIYO3as4njx8fHcunWLCRMmKH4Jv/rqq1V2bmXE9KdPjmhsrZghNWFWF0O6pqKxVag1Ro8ezejRo+/5cwsLC4YNG8awYcPuexxHR0cmTJigs12lUtG/f3+dxCgsLIwhQ4Yoti1cuLBSMc+cObNS+4GURFQUf1BQkM6+dnZ2Og08p0+fBu6UdJQdT6hagYGBTJ8+XS5zSU5OZsOGDVhaWjJ8+HCd2mkPDw85gQfk5tHGjRsryqTKtl+9elXeVj5ZLi4uRq1WyyOc5acdrQr9+/eX48zLy+PIkSOsWLECa2trnnvuOZ2Yyno6SkpKaNKkCVqtlnPnzuHk5ERWVhapqan06dNHTuBBWh352WefVYyylyV4hw8fJiIi4olONSqmP31yRGNrxQylCbM6Gco1FY2tglBL3d3UqtVq2bBhA8bGxjRp0kSPkRmGxo0b8+GHH6LRaEhNTSU2NpYNGzbwww8/4OLiokgQ7555x9TUFFNTU3nEukxZslu+X0OtVhMZGcmuXbvIzs5W7G9ra1ul5+Tt7a2YCjUsLIyCggKWLl1KeHg4derUAaQSkz/++IPExETUarXiGGWxZ2ZmAuDu7q7zOndPhdquXTu2bdvGjz/+yJ9//kmzZs1o2bIlbdu21RktrwxDn/5UX0Rja8UMpQmzOhnKNRWNrYJQS/3000+UlpbSqFEjNBoNsbGxJCYm8txzz8nJlvDkGRkZ4efnh5+fHwEBAUyfPp2YmBhFEn+vUdx7bS/f/7Bo0SK2bt1Kr169aNy4MVZWVqhUKn7//fcKpxStaoGBgRw+fJizZ88SEhJCQUEB06ZNw9zcnMGDB+Pm5oaZmRlZWVnMnz+/UjHdvY+ZmRnTpk0jKSmJo0ePcuzYMebOncuGDRuYMWPGQ6/RYMjTn+qTaGytmKE0YVane13T0NBQfYdWpURjqyDUUkFBQWzatIm4uDhu3bqFq6srQ4cOFQ2relS2kufdI+aPY+/evXTs2FGnuTQvL6/KR+IrUlJSAiBPhXr8+HFycnIUNf4g1bWXV5b4VjTtaUXbjIyM5L6CoUOHsmXLFn7++WcOHDhA+/btHypmQ57+VJ/KN7aW1SmLxlbDacKsTn369KFRo0ZcuHABCwsLHB0diYiIUJQi1gZlja1nzpyRG1sdHBwYMGCAvkN7IkQSLxiMiIiIh1pKXqg6x48fp2nTpjoj6WV13uVX131cFU07unv3brKzsytcobeqxcXFAeDj4yPHA8rRdI1Gw4YNGxTPc3R0xNfXl5iYGPr37y+XCqWlpXHs2DHFvrm5uTo3JGUjTRVNBSs8ncoS97p16xIbG8uJEydwc3OjTZs2Br1IliE1YVaXxYsXc/PmTYyMjMjNzWXUqFHY2dnxzTff1KpSk8mTJ6NSqRSft5cuXSIhIaFWDjKIJF4QhCfut99+o6ioiJYtW1K3bl00Gg3nzp0jJiYGW1tbndlcHkdoaCg7d+7E0tISHx8fzp8/z969e3Fzc6uy1yhz8uRJSktLASkhKyvRCgsLk2dRCggIwNbWlnnz5tGzZ09MTEzYv3+/YtGyMoMHD2b27NlMmjSJzp07o1ar+e9//4u3t7ditqWVK1eSmJhISEgILi4u5OfnExUVhbm5uSg5qEG+/PJLpkyZwtKlS8nPz6dly5acPHmSuLg4Ro0ape/w9MZQmjCrU/mSudTUVL7++muGDh2q56iqXqtWrUhNTSUiIoJmzZoB8NlnnzFx4kQ9R/ZkiCReEIQn7l//+hf79+/n2LFjbN++nVu3buHg4ED79u3p379/pVYHrqzhw4djbGzMvn372L59O/Xr12fixIn88ccfVfYaZTZv3szmzZsBqeTEzc2NQYMG0adPH3kfGxsbxo8fz+LFi/n777+xsLCgdevWdO/eXWel45CQEMaMGUNkZCTLli3DxcWFV199lYsXL3L58mV5v9DQUDIzM9m5cyc5OTnY2tri7+/PgAEDcHFxqfLzFJ6sU6dOyQlW8+bNa9XI6KMwlCbM6qTRaCgpKcHExARfX18++OAD5s6dy6VLl/QdWpV6/vnnKSkpYevWrURFRREeHq7vkJ4olbY6Or0EQRCER/bFF19w6dIlvvvuO32HIlSh4cOH4+vrK//bWltbo9FomDBhArNnz9Z3eHqzbt06kpKSdJowmzRpoljsT6i85ORkXFxcFJM4aDQa9u3bR7t27fQY2ZNTWlpKTEwMaWlpOlNe1xYiiRcEQXhKlJSUoFKpFHW/ly9f5oMPPqBTp06MHDlSj9EJT8KFCxcwMjKSy6+Ki4tJTU2lUaNGeo5Mv3JyckhOTiYlJQV3d3fc3d3lRnhBECSinEYQBOEpkZWVxbRp0wgPD8fFxYVr164RFRWFmZmZokRHqB3u1Wy4bNkygy6pmTlzJpMmTeLKlSskJydjZ2fHpk2bcHR0rLUjqoLwKEQSLwiC8JSwsbHB39+fmJgYbt68iZmZGQEBAQwePLjCRaCEms1Qmg0fVtk0rQcPHmTKlCkYGRnRvXt3PvnkEz1HJghPF5HEC4IgPCWsrKx477339B2GUE0MpdnwYV26dInvv/+eq1evUlJSIi9eduvWLT1HJghPF1ETLwiCIAh6YIjNhpWRkZEh/93BwQETExOKioo4ceIEwcHBeozsyZg3bx67d+9m9uzZ8voSZbZt28aPP/7IyJEj6dq1KwCjR4/G09OTSZMm6SPcJ+LuheTMzMxwcnKibdu29OnTR143Q1ASI/GCIAiCoAcVNWoaGRkZdAIPVDhNqoWFRa1M4AGGDRvGkSNHWLBgATNmzJAX+rp58yZ//PEHjRs3pkuXLnqO8skLDAyUF2QsLi7m1KlTrFq1irNnz9aqG5aqJJJ4QRAEQRAEPbG1tWXYsGHMmzePqKgounfvDsCiRYsoLCzk3//+d7Wu4FtcXIy5uXm1vV4Zd3d3OnToID/u1q0bWq2WXbt2kZeXh42NTbXH9LQTSbwgCIIgCIIedezYkZiYGJYuXUrLli1JTU1lz5499O/fX55+9GGcOHGCTZs2kZyczI0bN7C1taVFixYMGTIEa2treb/IyEhWrFjB119/zZo1azhy5AiWlpbMmzcPkFalXrx4MampqdSpU4cePXpgZ2fHDz/8wPfff69YqC8+Pp7Vq1dz9uxZtFotDRs2ZNCgQTRu3PiRr4u9vT2AYtrd1NRUNmzYwMmTJ8nKysLCwoKgoCCGDh2Ks7Oz4vkXL15k0aJFnDp1CktLSzp27EhQUBAzZ85kypQp8qqu6enpLF26lJMnT5Kfn4+dnR3+/v4MHz4cR0fHR47/SRNJvCAIgiAIgp6NGDGCsWPHsnDhQlJTU/Hw8OCll156pGPt27eP/Px8OnfujL29PampqWzbto2LFy8yY8YMnf2/+eYbXFxceOWVV+TZgc6fP8+nn36Kra0tL730EiYmJmzdurXCUfrdu3czd+5cAgMDGTRoEBqNhu3btzN9+nSmTp2Kv7//A2O+desWOTk5AKjVak6fPs22bdto1aoVlpaW8n7x8fGkpaXRvn17HB0dSU9PJyoqirNnz/LVV1/JjdDZ2dlMnTqV0tJSXnjhBWxsbNi1axfx8fGK1y0pKWHmzJmo1Wp69OiBg4MD2dnZHDt2jOvXr4skXhAEQRCeRjt27GD+/Pl8+umntWaBpbLR1TIqlQo7Ozvq1atH3759CQwM1GN0wr24u7vz0ksvsXz5cgAmT56MqanpIx1ryJAhOsm2v78/33//PSdPniQgIEDxMw8PDz744APFtsjISLRaLdOnT5f7FCIiInj33XcV+xUVFfHLL7/QoUMHRo8eLW/v1q0bY8aMYdmyZUyePPmBMe/cuZOdO3cqtgUHB/P2228rtnXv3p0XXnhBsS00NJTJkydz4MAB2rdvD8CaNWvIzc1V/N/u1q0b48aNUzz30qVLXL16lTFjxtCmTRt5+6PeQFUnI30HIAiCIAhC1Xv99dd56623GDVqFL179yY9PZ0ZM2Zw8uRJfYcm3IOtrS0grRnxOCvUliXwWq2WgoICcnJy5MQ9JSVFZ/+yOvwyGo2G+Ph4WrRooWg0trOzIzw8XLFvfHw8+fn5tG/fnpycHPlPcXExQUFBnDhxQh7dv5+QkBA+/vhjPv74Yz788EP69etHYmIic+fOpfxEiuVvToqKisjNzcXT0xNra2vFuR09epQGDRoobs7NzMx0moTLZr45evQoRUVFD4zzaSJG4gVBEAThCdFqtdy6dUv+ir86tWnTRq4pBmjbti3vvPMOe/fu1RmJFfTvxo0bLF26FG9vby5dusRff/3Fa6+99kjHyszM5I8//iAuLo7CwkLFzwoKCnT2v3sxuZs3b6JWq/Hw8NDZ9+5tV65cAeDTTz+9ZzwFBQXY2dndN2ZHR0eeeeYZ+XFoaCi2trYsXryY2NhYQkNDAcjLy2Pp0qXs37+fvLw8xTHy8/Plv2dkZChG1st4enoqHru6utK7d2/++ecfdu3aRUBAACEhIbRv3/6BMeubSOIFQRAE4T5KSkpYuXIlcXFxXL16FbVaja+vL/3795cTizIDBw6ka9euBAUFsXLlSi5fvsy///1vIiIiUKvVLFu2jF27dlFcXEzjxo15/fXXmTlzJk2bNlWUIhQUFLBixQoOHDhAdnY2derUITw8nIEDBz5yiYW9vT0qlQoTE+Wv/nXr1nHo0CHS0tIoKirC3d2d5557js6dOyv202q1rF69mqioKHJzc6lXrx7Dhg1j6dKlAEydOlXed/PmzWzZsoVr165hYmKCq6srXbp00RnxFe749ddfUavVjB07lg0bNrBp0yY6dOiAn5/fQx1Ho9Ewc+ZMcnJyePHFF/Hy8sLCwgKNRsNnn32GRqPRec7j3GSWjZKPGjXqnvXjjzrPe1np14kTJ+T/a3PmzCEpKYkXXngBPz8/uV5+zpw5VGbpo4r2GT58OF26dOHw4cPEx8ezZMkSVq1axdSpU/H29n6k2KuDSOIFQRAE4T4KCgqIiooiLCyMTp06oVar2b17N//3f//HhAkTaN68uWL/kydPcuDAAXr06IG9vb088vfDDz+wZ88ewsLCaNKkCSkpKcyYMQO1Wq14vlqtZtq0aVy7do0uXbrg7u7O+fPn2bBhA5cvX+bDDz+sVNx5eXkYGRmh1WrJzs5mzZo1GBsb68xDv3HjRoKDg2nbti0Ahw4d4scff0Sj0cgLDAEsW7aMNWvW8Oyzz9KiRQvS09OZNWsWNjY2ODk5yftt27aNX375hdatW9OzZ09KS0u5ePEiJ0+eFEn8PRw5coT9+/czcOBAPD09GTJkCIcOHWLBggXMnDkTI6PKVz9fuHCBy5cvM2rUKHnedbgzYl4ZderUwczMrMLn3L3Nzc0NkEptyo+kV4XS0lIAucwlPz+fY8eO8fLLL/Pyyy/L+6nVap1ReRcXl0rFX8bb2xtvb2/69etHamoq48ePZ+PGjbz55ptVdTpVTiTxgiAIgnAfNjY2/PDDD4oR8F69ejFu3DjWr1+vk8RfvnyZ2bNnU69ePXnbuXPn2LNnD926dWPEiBHy9uXLl7Nq1SrF88uS9c8//1wxvaC3tze//PILJ06coEmTJg+Me8yYMYrHlpaWjBkzhgYNGii2f/fdd4o64969ezNjxgzWrVsnJ/E3b95k/fr1BAcHM378eHnech8fH3788UdFEh8bG4u3tzdjx459YIzCncZQLy8vXnzxRQCsra157bXX+O6779i8eTO9evWq9PHulfCvX7/+oY7xzDPPEBsbS0ZGhlwXn5OTw+7duxX7Nm/eHGtra1atWkVQUJDON0U5OTmPXJYSFxcHgK+vL4D8vrt7NH3jxo0625o3b86mTZs4c+aMPDuOWq1m69ativ0KCgowNzdXTGPp5eWFmZmZojznaSSSeEEQBEG4DyMjIzkxKikpoaioCI1GQ9OmTdm7d6/O/o0aNVIk8HAnGbk7Gevdu7dOEr9v3z4aN26MnZ2dPOUeQFBQEADHjx+vVBL//vvvy3OCZ2VlERUVxZw5c5g0aZKiJr4sgS9/boGBgSxbtoyCggKsrKxISEigtLSUHj16KBYe6tixI0uWLFG8rqWlJdevXyc5OfmxmjMNxV9//UVmZiZTp05VlDqFh4ezY8cOli9fTuvWrRWlKteuXWPlypU6x/L09KRly5Z4eHiwePFirl+/jo2NDXFxcWRlZT1UXAMHDuTYsWNMnjyZbt26yVNMurq6cu7cOfl9YGlpyciRI5kzZw7jxo0jPDwce3t7srKySExMxNzcnIkTJz7w9dLT04mJiQGkZDs5OZkdO3YoFoGysrKiWbNmrFu3jpKSElxcXDh58iRJSUlyU3CZvn37smvXLmbOnEmvXr2wtbUlJiYGCwsL4M4NwfHjx/nll19o06YNnp6eaLVa9u3bR2Fh4VO/erJI4gVBEAThAbZu3crGjRu5fPmyYsSvopU0y8oLysvMzESlUuk0ENrZ2SkW3wHp6/7U1FTeeOONCmO5efNmpWJu0qRJhY2tv/32G7Nnz5a3Hzp0iJUrV3L+/HmdeumyJD4jIwPQbWo0NjZWLPgD8OKLL3L8+HEmTpyIm5sbQUFBhIWFiaktK5CSksKmTZvo1KlThTdmb7zxBmPHjuW3335TfLNx5coV/vrrL539Q0NDadu2LR999BG//fYb69atw8jIiObNmzNx4kRGjhxZ6djq1avHpEmTWLJkCStWrMDe3p4ePXpgZmbGuXPnFCPubdu2xdHRkdWrV7Nx40bUajX29vb4+/vr9Fbcy/Hjxzl+/Dgg3Tg7ODjQuXNnXnnlFTnxBuT3cHR0NKWlpTRp0oQpU6bozH/v6OjI1KlT5etgZWVFx44d8ff356uvvpLjr1evHsHBwcTFxbF161ZMTU3x9vZm3LhxtGzZstLXSx9EEi8IgiAI97F7925++uknQkND6du3L3Xq1MHIyIgdO3bolBbA4zUJglQqEBgYKJdW3K186crDMDc3p2HDhhw6dIiioiIsLCw45xMiOQAABTxJREFUefIkX375JQEBAYwcORJ7e3tMTEyIi4tj48aNFTZBVhRveXXr1uXbb7/l6NGjHD16lCNHjhAdHU3Xrl0fKok0BPXr15fnha+Iu7s7f/75p2Jb2Wqq9+Pp6cmkSZN0tkdGRioeDxw4kIEDB97zOE2bNmXWrFmKbb/99humpqY6JTKNGzdm/PjxD4ytInfHdT8ODg46pWJQ8XXx8fFhypQpim0bNmwA7vw/cnV1farr3u9HJPGCIAiCcB979+7Fzc2NcePGKUbed+zYUeljODs7o9VqSU9PV9S55+Tk6NTdurm5UVhYWOVNgqBsFLSwsGD//v2YmpoyadIkxc1HYmKi4nllNdFXrlxRjMaXlpaSkZEh1yyXsbCwoE2bNrRp04bS0lLmzZtHdHQ0AwYMeKpXwBSU1Gq14n2Rk5NDTEwMTZs2fahmW325O361Wk1UVBQeHh614n0oknhBEARBuI+yZEWr1cpJ/NWrVzl48GCljxEcHMzy5cvZtGmTorH1n3/+0dk3LCyMyMhIDh8+rDOFpVqtRqPRKMoLKis/P5/Tp09jb29PnTp15HNTqVSK0fS8vDy2b9+ueG5QUBDGxsZs3ryZ4OBg+Trs3LlT5yYkNzdXUZ9sbGyMj4+PfOzakDwZitGjR9O+fXs8PT3Jyspi27ZtFBUV1YjVTAEmTpxIQEAAPj4+5OXlsWvXLq5cucJ7772n79CqhEjiBUEQBIO3Y8cOEhISdLZ36dKF0NBQDh48yBdffEFoaChZWVls3rwZDw8PUlNTK3V8Pz8/wsLCiIqKIj8/n6ZNm3L27Fni4+OxtbVVjPD36dOHuLg4vvzyS9q3b0/Dhg25desWaWlp7Nu3jwkTJihWobyX/fv3y/NzZ2dns23bNvLy8hgxYoT8ei1atGDDhg18+umntG/fnry8PLZu3Yq9vT03btyQj1WnTh2ef/551q5dy2effSZPMRkTE4Obm5si/k8//ZQ6deoQEBCAvb096enpbNq0CR8fH8W3EMLTLzg4mAMHDnDjxg2MjY1p0KAB77zzTo1ZLCwkJIQDBw6wc+dOtFotPj4+jB07ltatW+s7tCohknhBEATB4EVHR1e4vUWLFkRERJCTk8OWLVtISEjA3d2d1157jfT09Eon8SAthmNvb8+uXbuIjY2lUaNGfPLJJ3zyySeKJkEzMzMmT57M2rVr2bt3L3v27MHCwgI3Nzeee+45vLy8KvV6v/76q/x3c3NzfH19GTRokDwfPECzZs0YPXo0a9as4ffff8fR0ZFevXphbW3NDz/8oDje4MGDMTc3Jzo6mqSkJPz8/Bg/fjy//vqrIv5u3bqxe/duNm7cSGFhIQ4ODnTq1ImXXnqpRpRgCHeMGjVK3yE8lldffZVXX31V32E8MSptZZa3EgRBEAShyuXl5fH6668zaNAg+vfvr+9wHppGo+GNN96gVatWNbY5UBBqKnFLLAiCIAjV4O6VWeHOTBk1YfrFiuLfvn07eXl5NSJ+QahtRDmNIAiCIFSDtWvXcvr0aYKCgjAzMyMpKYn9+/cTHBxcqRp3fdu7dy/R0dGEhIRgY2NDSkoK27dvx9fXlzZt2ug7PEEwOCKJFwRBEIRq0LhxYxISElizZg2FhYU4Ojrywgsv3Hee7qeJj48P5ubmbNy4kYKCAuzs7OjSpQuDBg1SrDQqCEL1EDXxgiAIgiAIglDDiJp4QRAEQRAEQahhRBIvCIIgCIIgCDWMSOIFQRAEQRAEoYYRSbwgCIIgCIIg1DAiiRcEQRAEQRCEGub/AR/UGn5pcCFSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x864 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(\n",
    "    avo.select_dtypes(include='number').iloc[:,-5:-1],\n",
    "    figsize=(12,12)\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also use a very handy parameter, `c`, which allows us to color the dots in a scatter plot. This is extremely helpful when doing **classification problems**, often you will set the color to the class label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['conventional', 'organic'], dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avo['type'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's map the `type` field to the color of the dot in our price elasticity curve. To use the type field, we need to convert it from a string into a number. We can use `pd.Series.apply()` for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'conventional': 0, 'organic': 1}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapping_dict = {}\n",
    "initial_class_label = 0\n",
    "for type in list(avo['type'].unique()):\n",
    "    mapping_dict[type] = initial_class_label\n",
    "    initial_class_label += 1\n",
    "mapping_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see we have two unique type labels, `conventional` and `organic`. Although that is the case for this dataset, let's create a function that will store the labels in a dictionary, incrementing the number up by `1` for each new label. This way, if we receive an additional type label in the future, our code won't break. Always think about extensible code!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        0\n",
       "1        0\n",
       "2        0\n",
       "3        0\n",
       "4        0\n",
       "        ..\n",
       "18244    1\n",
       "18245    1\n",
       "18246    1\n",
       "18247    1\n",
       "18248    1\n",
       "Name: type, Length: 18249, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avo.type.map(mapping_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use this `mapping_dict` dictionary to map the values using `.apply()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>type</th>\n",
       "      <th>type_as_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>conventional</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>conventional</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>conventional</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           type  type_as_num\n",
       "0  conventional            0\n",
       "1  conventional            0\n",
       "2  conventional            0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avo['type_as_num'] = avo['type'].apply(lambda x: mapping_dict[x])\n",
    "avo[['type', 'type_as_num']].head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can use this **binary class label** as our `c` parameter to gain some insight:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Volume')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avo.plot(kind='scatter', x='Total Volume', y='AveragePrice', \\\n",
    "        c='type_as_num', colormap='winter', figsize=(8,4))\n",
    "plt.xlabel('Volume')\n",
    "# plt.savefig('./avo_price.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Amazing! It looks like the organic avocados (value of `1`) totally occupy the lower volume, higher price bracket. Those dang kids with their toast and unicycles driving up the price of my 'cados!\n",
    "\n",
    "Here, we can also see a 'more' continuous `c` parameter, `year`, which makes use of the gradient a little better. There are tons of gradients you can use, check them out [here](https://matplotlib.org/examples/color/colormaps_reference.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Total Volume', ylabel='AveragePrice'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avo.plot(kind='scatter', x='Total Volume', y='AveragePrice', \\\n",
    "        c='year', colormap='winter', figsize=(8,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Total Volume', y='AveragePrice', hue='type', data=avo);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can save the plot to a file, using the `plt.savefig()` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Enp2scMwDOO8",
    "outputId": "9e479b9b-7a9a-42ce-8268-1788d23330e7"
   },
   "outputs": [],
   "source": [
    "avo.plot(kind='scatter', x='Total Volume', y='AveragePrice', \\\n",
    "        c='type_as_num', colormap='winter', figsize=(8,4))\n",
    "plt.xlabel('Volume')\n",
    "plt.savefig('avo_price.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Ron6_N0BDOO-"
   },
   "source": [
    "<a id=\"summary\"></a>\n",
    "### Summary\n",
    "\n",
    "In this lesson, we showed examples of how to create a variety of plots using Pandas and Matplotlib. We also showed how to use each plot to effectively display data.\n",
    "\n",
    "Do not be concerned if you do not remember everything — this will come with practice! Although there are many plot styles, many similarities exist between how each plot is drawn. For example, they have most parameters in common, and the same Matplotlib functions are used to modify the plot area.\n",
    "\n",
    "We looked at:\n",
    "- Line plots\n",
    "- Bar plots\n",
    "- Histograms\n",
    "- Scatter plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nLX7Hs6zDOO-"
   },
   "source": [
    "### Additional Resources\n",
    "\n",
    "Always read the documentation!\n",
    "\n",
    "- [Pandas Plotting Documentation](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html)\n",
    "\n",
    "- [Matplotlib Documentation](https://matplotlib.org/)\n",
    "\n",
    "- [Matplotlib sample plots](https://matplotlib.org/tutorials/introductory/sample_plots.html)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "04-plotting-with-pandas.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}