ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

notebook.ipynb

(320122B)


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      7     "# Universe Selection\n",
      8     "\n",
      9     "by Gil Wassermann, Maxwell Margenot\n",
     10     "\n",
     11     "Part of the Quantopian Lecture Series:\n",
     12     "\n",
     13     "* [www.quantopian.com/lectures](https://www.quantopian.com/lectures)\n",
     14     "* [github.com/quantopian/research_public](https://github.com/quantopian/research_public)\n",
     15     "\n",
     16     "\n",
     17     "---\n",
     18     "\n",
     19     "Selecting the product space in which an algorithm trades can be as important as, if not more than, the strategy itself. In this lecture, we will walk through the basics of constructing a universe and introduce Quantopian's new tools that allow you to accomplish these often tricky and subtle calculations with ease."
     20    ]
     21   },
     22   {
     23    "cell_type": "markdown",
     24    "metadata": {},
     25    "source": [
     26     "## What is a Universe?\n",
     27     "\n",
     28     "On a high level, universe selection is the process of choosing the pool of securities upon which your algorithm will trade. For example, an algorithm designed to play with the characteristics of a universe consisting of technology equities may perform exceptionally well in that universe with the tradeoff of falling flat in other sectors. Experimenting with different universes by tweaking their components is an essential part of developing a trading strategy.\n",
     29     "\n",
     30     "Using Pipeline, we have access to around 8300 securities to choose from each day. However, the securities within this basket are markedly different. Some are different asset classes, some belong to different sectors and super-sectors, some employ different business models, some practice different management styles, and so on. By defining a universe, a trader can narrow in on securities with one or more of these attributes in order to craft a strategy that is most effective for that subset of the population.\n",
     31     "\n",
     32     "Without a properly-constructed universe, your algorithm may be exposed to risks that you just aren't aware of. For example, it could be possible that your universe selection methodology only selects a stock basket whose constituents do not trade very often. Let's say that your algorithm wants to place an order of 100,000 shares for a company that only trades 1,000 on a given day. The inability to fill this order or others might prevent you from achieving the optimal weights for your portfolio, thereby undermining your strategy. These risks can be  controlled for by careful and thoughtful universe slection.\n",
     33     "\n",
     34     "On the Quantopian platform, universes are often implemented as a Pipeline screen. If you are not familiar with Pipeline, feel free to check out the [tutorial](https://www.quantopian.com/tutorials/pipeline). Below is an example implementation of a universe that limits Pipeline output to the 500 securities with the largest revenue each day. This can be seen as a naive implementation of the Fortune500."
     35    ]
     36   },
     37   {
     38    "cell_type": "code",
     39    "execution_count": 1,
     40    "metadata": {
     41     "collapsed": false
     42    },
     43    "outputs": [],
     44    "source": [
     45     "import numpy as np\n",
     46     "import pandas as pd\n",
     47     "import matplotlib.pyplot as plt\n",
     48     "from quantopian.pipeline.classifiers.fundamentals import Sector  \n",
     49     "from quantopian.pipeline import Pipeline\n",
     50     "from quantopian.pipeline.data.builtin import USEquityPricing\n",
     51     "from quantopian.research import run_pipeline\n",
     52     "from quantopian.pipeline.data import Fundamentals  \n",
     53     "from quantopian.pipeline.factors import CustomFactor"
     54    ]
     55   },
     56   {
     57    "cell_type": "code",
     58    "execution_count": 2,
     59    "metadata": {
     60     "collapsed": false
     61    },
     62    "outputs": [
     63     {
     64      "name": "stdout",
     65      "output_type": "stream",
     66      "text": [
     67       "There are 500 assets in this universe.\n"
     68      ]
     69     },
     70     {
     71      "data": {
     72       "text/html": [
     73        "<div>\n",
     74        "<table border=\"1\" class=\"dataframe\">\n",
     75        "  <thead>\n",
     76        "    <tr style=\"text-align: right;\">\n",
     77        "      <th></th>\n",
     78        "      <th></th>\n",
     79        "      <th>Revenue</th>\n",
     80        "    </tr>\n",
     81        "  </thead>\n",
     82        "  <tbody>\n",
     83        "    <tr>\n",
     84        "      <th rowspan=\"10\" valign=\"top\">2016-01-04 00:00:00+00:00</th>\n",
     85        "      <th>Equity(2 [ARNC])</th>\n",
     86        "      <td>5.573000e+09</td>\n",
     87        "    </tr>\n",
     88        "    <tr>\n",
     89        "      <th>Equity(24 [AAPL])</th>\n",
     90        "      <td>5.150100e+10</td>\n",
     91        "    </tr>\n",
     92        "    <tr>\n",
     93        "      <th>Equity(25 [ARNC_PR])</th>\n",
     94        "      <td>5.573000e+09</td>\n",
     95        "    </tr>\n",
     96        "    <tr>\n",
     97        "      <th>Equity(62 [ABT])</th>\n",
     98        "      <td>5.150000e+09</td>\n",
     99        "    </tr>\n",
    100        "    <tr>\n",
    101        "      <th>Equity(128 [ADM])</th>\n",
    102        "      <td>1.656500e+10</td>\n",
    103        "    </tr>\n",
    104        "    <tr>\n",
    105        "      <th>Equity(161 [AEP])</th>\n",
    106        "      <td>4.432000e+09</td>\n",
    107        "    </tr>\n",
    108        "    <tr>\n",
    109        "      <th>Equity(166 [AES])</th>\n",
    110        "      <td>3.721000e+09</td>\n",
    111        "    </tr>\n",
    112        "    <tr>\n",
    113        "      <th>Equity(168 [AET])</th>\n",
    114        "      <td>1.495300e+10</td>\n",
    115        "    </tr>\n",
    116        "    <tr>\n",
    117        "      <th>Equity(185 [AFL])</th>\n",
    118        "      <td>5.040000e+09</td>\n",
    119        "    </tr>\n",
    120        "    <tr>\n",
    121        "      <th>Equity(239 [AIG])</th>\n",
    122        "      <td>1.282200e+10</td>\n",
    123        "    </tr>\n",
    124        "  </tbody>\n",
    125        "</table>\n",
    126        "</div>"
    127       ],
    128       "text/plain": [
    129        "                                                     Revenue\n",
    130        "2016-01-04 00:00:00+00:00 Equity(2 [ARNC])      5.573000e+09\n",
    131        "                          Equity(24 [AAPL])     5.150100e+10\n",
    132        "                          Equity(25 [ARNC_PR])  5.573000e+09\n",
    133        "                          Equity(62 [ABT])      5.150000e+09\n",
    134        "                          Equity(128 [ADM])     1.656500e+10\n",
    135        "                          Equity(161 [AEP])     4.432000e+09\n",
    136        "                          Equity(166 [AES])     3.721000e+09\n",
    137        "                          Equity(168 [AET])     1.495300e+10\n",
    138        "                          Equity(185 [AFL])     5.040000e+09\n",
    139        "                          Equity(239 [AIG])     1.282200e+10"
    140       ]
    141      },
    142      "execution_count": 2,
    143      "metadata": {},
    144      "output_type": "execute_result"
    145     }
    146    ],
    147    "source": [
    148     "universe = Fundamentals.total_revenue.latest.top(500)\n",
    149     "\n",
    150     "pipe = Pipeline(\n",
    151     "    columns={\n",
    152     "        'Revenue': Fundamentals.total_revenue.latest\n",
    153     "    },\n",
    154     "    screen=universe\n",
    155     ")\n",
    156     "res = run_pipeline(pipe, '2016-01-01', '2016-01-01')\n",
    157     "print \"There are %d assets in this universe.\" % len(res.index.levels[1])\n",
    158     "\n",
    159     "res.head(10) # print 10 constituents "
    160    ]
    161   },
    162   {
    163    "cell_type": "markdown",
    164    "metadata": {},
    165    "source": [
    166     "This is a good start, but again, it is a very naive universe. Normally, high revenue is a characteristic of a healthy, thriving company, but there are many other things that play into the construction of a good universe. While this idea has a reasonable economic basis, more analysis has to be conducted to determine the efficacy of this universe. There may be more subtle things occurring independently of the revenue of its constituent companies.\n",
    167     "\n",
    168     "For the rest of this notebook, we will design our own universe, profile it and check its performance. Let's create the Lectures500!"
    169    ]
    170   },
    171   {
    172    "cell_type": "markdown",
    173    "metadata": {},
    174    "source": [
    175     "##Lectures500\n",
    176     "\n",
    177     "###Sector Exposure\n",
    178     "\n",
    179     "If I create a universe that only looks at equities in the technology sector, my algorithm will have an extreme sector bias. Companies in the same industry sector are affected by similar macroeconomic trends and therefore their performance tends to be correlated. In the case of particular strategies, we may find the benefits of working exclusively within a particular sector greater than the downside risks, but this is not suitable for creating a general-purpose, quality universe.\n",
    180     "\n",
    181     "Let's have a look at the sector breakdown of the Lectures500."
    182    ]
    183   },
    184   {
    185    "cell_type": "code",
    186    "execution_count": 3,
    187    "metadata": {
    188     "collapsed": false
    189    },
    190    "outputs": [],
    191    "source": [
    192     "# Rename our universe to Lectures500\n",
    193     "Lectures500 = universe\n",
    194     "\n",
    195     "SECTOR_CODE_NAMES = {\n",
    196     "    Sector.BASIC_MATERIALS: 'Basic Materials',\n",
    197     "    Sector.CONSUMER_CYCLICAL: 'Consumer Cyclical',\n",
    198     "    Sector.FINANCIAL_SERVICES: 'Financial Services',\n",
    199     "    Sector.REAL_ESTATE: 'Real Estate',\n",
    200     "    Sector.CONSUMER_DEFENSIVE: 'Consumer Defensive',\n",
    201     "    Sector.HEALTHCARE: 'Healthcare',\n",
    202     "    Sector.UTILITIES: 'Utilities',\n",
    203     "    Sector.COMMUNICATION_SERVICES: 'Communication Services',\n",
    204     "    Sector.ENERGY: 'Energy',\n",
    205     "    Sector.INDUSTRIALS: 'Industrials',\n",
    206     "    Sector.TECHNOLOGY: 'Technology',\n",
    207     "    -1 : 'Misc'\n",
    208     "}\n",
    209     "\n",
    210     "def get_sector_codes(day, universe):\n",
    211     "    pipe = Pipeline(columns={'Sector': Sector()}, screen=universe)\n",
    212     "    # Drop the datetime level of the index, since we only have one day of data \n",
    213     "    return run_pipeline(pipe, day, day).reset_index(level=0, drop=True)\n",
    214     "\n",
    215     "\n",
    216     "def calculate_sector_counts(sectors):\n",
    217     "    counts = (sectors.groupby('Sector').size())\n",
    218     "\n",
    219     "    # Replace numeric sector codes with human-friendly names\n",
    220     "    counts.index = counts.index.map(lambda code: SECTOR_CODE_NAMES[code])\n",
    221     "    return counts\n",
    222     "\n",
    223     "lectures500_sectors = get_sector_codes('2016-01-04', Lectures500)\n",
    224     "lectures500_counts = calculate_sector_counts(lectures500_sectors)"
    225    ]
    226   },
    227   {
    228    "cell_type": "code",
    229    "execution_count": 4,
    230    "metadata": {
    231     "collapsed": false
    232    },
    233    "outputs": [],
    234    "source": [
    235     "def plot_sector_counts(sector_counts):\n",
    236     "    \n",
    237     "    bar = plt.subplot2grid((5,5), (0,0), rowspan=2, colspan=5)\n",
    238     "    pie = plt.subplot2grid((5,5), (2,0), rowspan=3, colspan=5)\n",
    239     "    \n",
    240     "    # Bar chart\n",
    241     "    sector_counts.plot(\n",
    242     "        kind='bar',\n",
    243     "        color='b',\n",
    244     "        rot=30,\n",
    245     "        ax=bar,\n",
    246     "    )\n",
    247     "    \n",
    248     "    bar.set_title('Sector Exposure - Counts')\n",
    249     "    \n",
    250     "    # Pie chart\n",
    251     "    sector_counts.plot(\n",
    252     "        kind='pie', \n",
    253     "        colormap='Set3', \n",
    254     "        autopct='%.2f %%',\n",
    255     "        fontsize=12,\n",
    256     "        ax=pie,\n",
    257     "    )\n",
    258     "    pie.set_ylabel('')  # This overwrites default ylabel, which is None :(\n",
    259     "    pie.set_title('Sector Exposure - Proportions')\n",
    260     "    \n",
    261     "    plt.tight_layout();"
    262    ]
    263   },
    264   {
    265    "cell_type": "code",
    266    "execution_count": 5,
    267    "metadata": {
    268     "collapsed": false
    269    },
    270    "outputs": [
    271     {
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    273       "image/png": 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fJVPv8seW+ufu7m7uEv5WQEAA/v7+5i7jobGl468wqH/5o/7lj/r3z6l3+aP+5Y/6lz+W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\n7gnNI9X9O9tZftsAAOY+t4O7ZnQFoCE2rKqH3ylEEH4rwmKgT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HMsnWPTGZY1EJvl2Os+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foz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\nTZKbxpOa3PKcXRD+8fkG/v7VRm7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999/npZdeOu3YT42p7rjLysrYuHGj/8mgaZpERERQ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\nERFppP4/AV75i+0kv/YAAAAASUVORK5CYII=\n",
    274       "text/plain": [
    275        "<matplotlib.figure.Figure at 0x7fd9e0058210>"
    276       ]
    277      },
    278      "metadata": {},
    279      "output_type": "display_data"
    280     }
    281    ],
    282    "source": [
    283     "plot_sector_counts(lectures500_counts)"
    284    ]
    285   },
    286   {
    287    "cell_type": "markdown",
    288    "metadata": {},
    289    "source": [
    290     "From the above plots it is clear that there is a mild sector bias towards the financial services industry. Any big events that affect companies in this sector will have a large effect on this universe and any algorithm that uses it.\n",
    291     "\n",
    292     "One option is to equal-weight the sectors, so that equities from each industry sector make up an identical proportion of the final universe. This, however, comes with its own disadvantages. In a sector-equal Lectures500, the universe would include some lower-revenue real estate equities at the expense of higher-revenue financial services equities."
    293    ]
    294   },
    295   {
    296    "cell_type": "markdown",
    297    "metadata": {
    298     "collapsed": true
    299    },
    300    "source": [
    301     "###Turnover\n",
    302     "\n",
    303     "Another thing to consider when designing a universe is the rate at which the universe changes. Turnover is a way of measuring this rate of change. Turnover is defined as the number of equities to enter or exit the universe in a particular time window. \n",
    304     "\n",
    305     "Let us imagine a universe with a turnover of 0. This universe would be completely unchanged by market movements. Moreover, stocks inappropriate for the universe would never be removed and stocks that should be included will never enter.\n",
    306     "\n",
    307     "Conversely, imagine a universe that changes every one of its constituents every day. An algorithm built on this universe will be forced to sell its entire portfolio every day. This incurs transaction costs which erode returns.\n",
    308     "\n",
    309     "When creating a universe, there is an inherent tradeoff between stagnation and sensitivity to the market.\n",
    310     "\n",
    311     "Let's have a look at the turnover for the Lectures500!"
    312    ]
    313   },
    314   {
    315    "cell_type": "code",
    316    "execution_count": 6,
    317    "metadata": {
    318     "collapsed": true
    319    },
    320    "outputs": [],
    321    "source": [
    322     "res = run_pipeline(Pipeline(columns={'Lectures500' : Lectures500}), '2015-01-01', '2016-01-01')\n",
    323     "res = res.unstack().fillna(False)\n",
    324     "\n",
    325     "def calculate_daily_turnover(unstacked):\n",
    326     "    return (unstacked\n",
    327     "            .diff()        # Get True/False showing where values changed from previous day.\n",
    328     "            .iloc[1:]      # Drop first row, which is meaningless after diff().\n",
    329     "            .astype(bool)  # diff() coerces from bool -> object :(.  Undo that.\n",
    330     "            .groupby(axis=1, level=0)  \n",
    331     "            .sum())        # Group by universe and count number of True values in each row.\n",
    332     "\n",
    333     "def plot_daily_turnover(unstacked):\n",
    334     "    \n",
    335     "    # Calculate locations where the inclusion state of an asset changed.\n",
    336     "    turnover = calculate_daily_turnover(unstacked)\n",
    337     "    \n",
    338     "    # Write the data to an axis.\n",
    339     "    ax = turnover.plot(figsize=(14, 8))\n",
    340     "    \n",
    341     "    # Add style to the axis.\n",
    342     "    ax.grid(False)\n",
    343     "    ax.set_title('Changes per Day')\n",
    344     "    ax.set_ylabel('Number of Added or Removed Assets')\n",
    345     "    \n",
    346     "\n",
    347     "def print_daily_turnover_stats(unstacked):\n",
    348     "    turnover = calculate_daily_turnover(unstacked)\n",
    349     "    print(turnover.describe().loc[['mean', 'std', '25%', '50%', '75%', 'min', 'max']])"
    350    ]
    351   },
    352   {
    353    "cell_type": "code",
    354    "execution_count": 7,
    355    "metadata": {
    356     "collapsed": false
    357    },
    358    "outputs": [
    359     {
    360      "name": "stdout",
    361      "output_type": "stream",
    362      "text": [
    363       "      Lectures500\n",
    364       "mean     1.761905\n",
    365       "std      3.402433\n",
    366       "25%      0.000000\n",
    367       "50%      0.000000\n",
    368       "75%      2.000000\n",
    369       "min      0.000000\n",
    370       "max     30.000000\n"
    371      ]
    372     },
    373     {
    374      "data": {
    375       "image/png": 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UIsDK8JS5XTleCQAAKAZxp7T169dP/fr1s78+55xz9Pzzzyf04HV1dZo5c6Ye\ne+wxdezYUZJ03HHHacmSJTrjjDO0ZMkSDRgwoJ1LR6EyTL/cTjI8iM4KeMrLAscIU9oAAEAq4gY8\nUmCj0SVLlui5557Tp59+qrPOOiuhB1+0aJG2b9+uCRMmyO/3y+Fw6I477tCUKVP017/+VXvttZdG\njBiR0i+AwuL3+2WEZ3jCbgek8IAnkOHh0AAAAKloM+D54IMP9Oyzz2rJkiU65JBD9PXXX2vFihWq\nrKxM6MFHjhypkSNHtrr9kUcead9qUfCsfoxWPTw5WxHyjdcI7MNTYQc8HB0AAKD9YgY8p59+urp0\n6aJTTz1VV111lbp27aqzzz474WAHiMYIBjwuZ4seHk5qEWSYgWPBKmnj0AAAAKmIObRgr7320vff\nf6/vvvtOW7dulRS6Gg+0lxmcwMXGo4jFyvBYQwvo4QEAAKmImeGZO3euNm3apIULF+qqq65SWVmZ\ndu7cqS1btmj33XfP5hpRRKyr9+4WU9qoaYPF6uGpoIcHAACkQZtjqbt3765x48Zp2bJluvHGG9W/\nf3+deuqp+u1vf5ut9aHIWBkeu4cneDtX8WEJjaW2Sto4NgAAQPslNKVNkvr376/+/furtrZWL730\nUibXhCIWyvAwtADReU2mtAEAgPSJu/FoS506ddKFF16YibWgBJg+q4eHoQWIzmixDw/HBgAASEXS\nAQ+QCqNFSZuFc1pYvIZPTqfDPkY4NAAAQCoIeJBVVkmbNZbayeQ/tOA1fXb/jhTauwkAAKA9Yvbw\nTJ48uc07zpgxI+2LQfFrmeGx4h2GFsBiGD65XU47GKakDQAApCJmhqdv377q27evnE6nduzYoV69\neqlnz57aunWrqqqqsrlGFJGW+/DYc9o4p0WQ1zBV5naG+rtyuxwAAFDgYmZ4zjvvPEnSsmXLNHfu\nXPv2Sy65RL/5zW8yvzIUpZb78DiDcQ9X8WHxGr5gwMOmtAAAIHVxe3g2btyo2tpa++v6+nqtX78+\no4tC8bKntDkjMzy0acBimD6VuZxM8AMAAGkRdx+eUaNGaciQIfrRj34kh8OhDRs2aNy4cdlYG4qQ\nneFxW0MLrH/hpBYBXsOnjh1CPTwMLQAAAKmIG/CMHj1aZ511lr766iv5/X716NFDnTp1ysbaUISs\nHh63leGxr+LnaEHIO17DJ7fbSXsXAABIi7glbTt27NDs2bP16KOP6vDDD9eqVau0bdu2bKwNRcge\nS21NaROC0qG3AAAgAElEQVR9GojkNQIlbUxpAwAA6RA34Jk6dar23HNPbdiwQZLk8Xh03XXXZXxh\nKE5WD489tMC+is9JLQLla6bPrzK3i6EFAAAgLeIGPNu2bdPYsWNVVlYmSRo6dKiampoyvjAUp5YZ\nHqsz3e/L1YqQT6x9msrczlAwTMQDAABSEDfgkSSv12tfbd2yZYsaGhoyuigUL8OwengCx5ODDA/C\neI1QwGMh3gEAAKlIaGjBueeeq82bN2vcuHH66KOPNGXKlGysDUXIHktt9fBQtoQwVsDjdjvldFoj\nyzk4AABA+8UNeIYNG6a+fftq9erVKi8v1y233KJu3bplY20oQi03HrWmUlO2BCksw+Ni41EAAJAe\ncQOek046SaeffrrOPPNM9erVKxtrQhGzxlKHMjyB2zmnhSR5TVNSoKSNYBgAAKRD3B6eBQsWqGvX\nrrrhhht01lln6eGHH9amTZuysTYUISvDU0ZJG6IIL2nj2AAAAOkQN+DZY4899POf/1xPP/20Zs+e\nrQ0bNuiUU07JxtpQhEI9PJS0oTXDaD2ljR4eAACQirglbZL0+eefa8mSJVq6dKk6d+6sG2+8MdPr\nQpGye3icZHjQmtcM6+FxUu8IAABSFzfgGTp0qKqqqnT66afroYceUvfu3bOxLhSpUA9P5Fhqzmoh\ntShpC95GhgcAAKQibsBz//3368ADD9T27dvtq/FAe1kbS7pbDC3wcU4LRe7D4xDZPwAAkLq4Ac+O\nHTt0yimnqL6+Xj6fT126dNGdd96pI488MhvrQ5GxStpCGR5OahFi9/C4XHa/F5vSAgCAVMQNeO6+\n+27NmTNHPXv2lCR9+umnuu222/TEE09kfHEoPmbLDI/9L5zUIqyHx+2Uzxs4JgiGAQBAKuJOaXM6\nnXawI0mHHnqoXC5XRheF4mUEa9dcVkN6MMNDSRukyJI2prQBAIB0SCjgWbp0qerq6lRXV6dFixYR\n8KDdWmZ4nKG51DlaEfKJYQQ2HnW7wvbhIRoGAAApiFvSNm3aNE2fPl1TpkyRw+HQUUcdpWnTpmVj\nbShCrYYWiAwPQiKGFjCVGgAApEHcgGfffffVww8/nI21oASYLYYWiAwPwkQGPNZAC44NAADQfnED\nnpUrV+rJJ5/Uzp07I048Hn/88YwuDMXJ8LUsaQue1OZsRcgnhtk6w0P2DwAApCJuwHPzzTfr8ssv\n1x577JGN9aDIhTI8wfYxGtMRJnJoATVtAAAgdQmVtI0YMSIba0EJsHt4gtMKQkMLcrQg5JVQwOOy\nqx0JhgEAQCriBjznnXeepkyZoj59+sjtDn372WefndGFoThZAY+d4RElbQixAh63yyGHkx4eAACQ\nurgBz5/+9CdVVVXJ4/HYtzkcDgIetIsRLGlzB4cW2FVLnNRC4RuPusKGFuRyRQAAoNDFDXjKyso0\nb968bKwFJcA0fXI6HfbJrJOTWoSJmNIWvI1gGAAApCLuxqODBg3SW2+9JY/HI5/PZ/8HtIfh89v9\nO5LsoQWc00KSjChjqZnSBgAAUhE3wzNnzhw1NjZKCpSy+f1+ORwOrVmzJuOLQ/ExTZ/c7lCczVV8\nhIuc0ha4jWMDAACkIm7As3r16mysAyXCMP1yOcMCHvbhQRivaUoK7NPkIPsHAADSIG5J244dO3TH\nHXfo2muvlSS9+uqr2rZtW8YXhuJkmj57YIHE0AJE8kYpaePYAAAAqYgb8EydOlV77rmn1q9fL0ny\neDy67rrrMr4wFCfD5w8bSS05xNAChEQLeOjhAQAAqYgb8Gzbtk1jx45VWVmZJGno0KFqamrK+MJQ\nnGJmeChqg8I2pnWFengoeAQAAKmIG/BIktfrta+2btmyRQ0NDRldFIqXYfpa9PAEPpLhgRTI8AT6\ndxz2wUGGBwAApCLu0ILRo0fr3HPP1ebNmzVu3Dh99NFHmjJlSjbWhiJkmP7IDA8lbQjjNXwqc1t7\nNAVuo4cHAACkIm7AM3z4cPXt21erV69WeXm5brnlFnXr1i0ba0MRMk1fZA+P9SkntZCV4XFJCpvg\nx6EBAABS0GbA88UXX2jdunU64ogjNGzYMPv2xYsXR3wNJCpWhoeyJUiBjUfLgvs0McEPAACkQ8we\nnr/85S+6/PLL9eKLL2rkyJF68803tW3bNo0fP16PPvpoNteIImL6Aj0aFoYWIJzXMMMCHisY5tgA\nAADtFzPDs3DhQr3wwguqrKzU+vXr9ctf/lKGYejiiy/WmDFjsrlGFAnT55ffrxYBjx3xADJMvyor\nAseHk4EWAAAgDWIGPBUVFaqsrJQk7bPPPqqqqtKcOXO01157ZW1xKC5mcOSwKzRv2MZVfEhWhqdC\nEj08AAAgPWKWtNlX3oM6depEsIOUWHushA8tcDpaBz8oXdZYakmyjgx6eAAAQCpiZniam5u1fv36\nmF/vs88+mV0Zio4ZnEwQbeNRH1MLSp7f75fXDBta4HTYtwMAALRXzIBn8+bNuuSSSyJONi6++GJJ\ngezPK6+8kvnVoagYRusMj0jwIMjq8bICHiclbQAAIA1iBjyvvvpqNteBEmCYwQyPs3VJGye1sALi\nMrcr4nb6uwAAQCpi9vAA6Wb6rAwPQwvQmte0Ah4yPAAAIH0IeJA11tCCaPvwAF4j8vhgjyYAAJAO\ncQMeGoaRLmawpM0VMbSAq/gI8BqRGR4H+/AAAIA0iBvwpLrJ6Nq1azVkyBA98cQTkqTJkyfrjDPO\n0NixYzV27FitWLEipcdH4bAyPGXhGZ7gRwJreA1TUnjAEwyGmeAHAABSEHNogeXQQw/VrFmz1KdP\nH5WVldm3H3fccXEfvLGxUXfccYeOP/74iNuvueYanXTSSe1YLgqZNZY6Yh8ea/RwTlaEfGINtbAC\nYquHh3gHAACkIm7As2bNGknSqlWr7NscDkdCAU9FRYX+9Kc/ae7cuSksEcUi1MPTunGHDA+sDI+7\nZUkb4TAAAEhB3IBn3rx57X5wp9Op8vLyVrfPnz9fjzzyiHbffXfdcMMN6ty5c7t/BgqH3cPjDB9a\nQA8PAlr38HBsAACA1MXt4fniiy80duxY9e3bV0cffbQuvfRSff311+3+gWeddZYmTpyoP//5zzr4\n4IN13333tfuxUFi8UTI8ocZ0zmpLnR3wtJzSxrEBAABSEDfgmT59un7xi1/on//8p15//XWNGjVK\nN910U7t/YP/+/dWrVy9J0uDBg/X555+3+7FQWEzT2ocn2tCCHCwIecUeS80+PAAAII0SGks9cOBA\ndejQQdXV1RoyZIhM02z3Dxw/frw+++wzSdK7776rnj17tvuxUFispnR3tLHUOVkR8kmopM0VuIEM\nDwAASIO4PTxer1effPKJDjvsMEnShx9+mHDA88EHH2jq1Knatm2bXC6XnnrqKY0fP16TJ09WdXW1\nqqurdfvtt6f2G6BgmL5ghsfZeuNRTmphjy13M6UNAACkT9yA57rrrtPEiRO1bds2SVLXrl11xx13\nJPTgvXv31osvvtjq9iFDhiS5TBSDNjM8nNSWvNgbj3JwAACA9osb8PTu3Vsvv/yydu7cKYfDoZqa\nmmysC0XItIcWsPEoWrN7eKyhBSIYBgAAqYsb8Fg6duyYyXWgBFgZnoihBY7We/KgNBnBfXjI8AAA\ngHSKO7QASBerhyfaWGofJ7Ulz9uyh8dp9fBwbAAAgPYj4EHWGNHGUtPDg6BYG48ywg8AAKQiZknb\n5MmT27zjjBkz0r4YFDfDCA4tcIZleHK1GOQdo2XAE7ydDA8AAEhFzAxP37591bdvXzmdTu3YsUO9\nevVSz549tXXrVlVVVWVzjSgS9ljqsAyPKGlDkLfFUItQD0+uVgQAAIpBzAzPeeedJ0latmyZ5s6d\na99+ySWX6De/+U3mV4aiE20stZOyJQTFKmnj0AAAAKmI28OzceNG1dbW2l/X19dr/fr1GV0UipMZ\ntYcn8JGr+AgFPC5JTGkD0oXnEIBSF3cs9ahRozRkyBD96Ec/ksPh0IYNGzRu3LhsrA1Fxhpa4Ha2\njrN5Q0bLDI+V/fP5ODaA9pq/eI3e+nijZk08WS4nXZMASlPcgGf06NE666yz9NVXX8nv96tHjx7q\n1KlTNtaGImMGT1zd7tYlbZzSwgqIy1wtprQBaLc1X27TV9/tlMdrqqoi4a33AKCoxC1p27Fjh2bP\nnq1HH31Uhx9+uFatWqVt27ZlY20oMkaLpnRJDC2AzcrwuFtsPMqxAbRfszewoS+ZUgClLG7AM3Xq\nVO25557asGGDJMnj8ei6667L+MJQfMzg0AJXxFhqhhYgwGsETsxaDS3g2ADardkTDHh4IgEoYXED\nnm3btmns2LEqKyuTJA0dOlRNTU0ZXxiKT7QMT2hIG2/Gpc7u4XGR4QHShQwPACQQ8EiS1+u1r7Zu\n2bJFDQ0NGV0UipMRdUobV/EREGtoAbEw0H52hoeAB0AJS2howbnnnqvNmzdr3Lhx+uijjzRlypRs\nrA1Fxoy6D0/gI1PaYJg+OR2hgJgMD5C6Zo8hiecRgNIWN+AZPny4+vbtq9WrV6u8vFy33HKLunXr\nlo21ocgYvmCGJ3wsNRkeBHkNn9zBPXgksn9AOoRK2nK8EADIoZgBz/PPP9/qtubmZq1cuVKSdPbZ\nZ2duVShK0TI81mec1MJr+FQWfmyQ/QNSYpg+GcHXXTI8AEpZzIDnzTfflCT98MMPWrt2rXr37i3T\nNPXhhx+qT58+BDxIWvQensBHhhbAa/hUFp7hERkeIBWeYHZHoocHQGmLGfDMnDlTkjR+/HgtX75c\nlZWVkqS6ujpNnTo1O6tDUQlleBhagNa8ps/eg0eihwdIVZMnLODheQSghMWd0vbtt9/awY4k1dTU\n6Ntvv83oolCcrB6e6CVtvBmXOsPw2RPaJMnptIJhjg2gPZo9ZHgAQEpgaMFBBx2kUaNGqU+fPnI6\nnfrggw/Uo0ePbKwNRcY0/XI6HXZWR5Ic1kltrhaFvOE1fKrpUGZ/TfYPSE0zJW0AICmBgOf222/X\nypUr9fnnn8vv9+tXv/qVBgwYkI21ocgYpk9upyPiNjvDw5txyTNMM7LcMfiRgAdoH2sktURJG4DS\nFjPgeffdd+3Py8vLdfjhh9tfv/feezrmmGMyuzIUHdP0RwwskMKHFqDUeVuUtNHDA6QmPMNjclEJ\nQAmLGfDcc889kiSPx6PPP/9cBxxwgAzD0H//+1/17t1bTzzxRNYWieLgNX0R/TtSqGyJiKe0+Xx+\nGaY/sofH4WjjHgDiaaKHBwAktRHwPPnkk5Kk6667Tg888IC6du0qSdq4caNmzZqVndWhqJimr3WG\nJ/iRq/ilzRpZXhZ+fJDhAVLSzJQ2AJCUwJS2r776yg52JGnPPffUhg0bMrooFCfD52/dw8NVfCgs\n4Anbh8fK8NDfBbQPU9oAICDu0IIuXbrod7/7nY4++mg5HA6tXr06Ykw1kCjT9EU0pUthPTy8F5c0\nrxEcWe4Om+DnYIIfkAqmtAFAQNyA55577tELL7xgT2nr06ePzj777GysDUXGNP2qLG8Z8AROaim3\nKG1WwFPmCmV4QsEwxwbQHkxpA4CAuAFPZWWlRo4caX+9atUq3Xrrrbr99tszujAUHyPK0AIpdGKL\n0mUHPBFT2tiHB0hFeEmb35fDhQBAjsUNeCRp06ZNWrhwoRYuXCin06lRo0Zlel0oQqav9dACKdCb\nzlX80uY1AidmkVPaAh+5Mg20T8RYap5HAEpYzIDH4/Fo2bJleu655/TJJ59o8ODBkqTFixdnbXEo\nLobpj5rhkcPBVfwSZ5iBA4AMD5A+DC0AgICYAc+AAQP0k5/8RBdddJFOOOEElZWVacSIEdlcG4qM\nafrkcrbO8DgdZHhKXbQMjxQod+TYANqnibHUACCpjYBn+PDhevXVVyVJPp9PJ554YtYWheJj+vzy\n+dVqSlsAGZ5SZ09pazXFj2MDaC+mtAFAQMx9eG666SYtW7ZMgwYN0uOPP67jjz9eGzdu1CeffJLN\n9aFImMF9Vlwxhhb4GT5c0qINLZDI/gGpoKQNAALaHFpQXl6uM844Q2eccYbWr1+vZ555RldccYW6\ndu2qZ555JltrRBGwNpaMluHhKj68ZvSAp73Zv6ZmQ2VlLrmcjABE4TN9fnm9piorEpozZGv2MpYa\nxaehyasOlWW5XgYKTMwMT0v77LOPrr76av3jH//QVVddlck1oQiZwauL0U5A6dNAaOPR1hmeZE/U\nfD6/Lr/jFd23YHXa1gfk0v0L/qVxd7ySdJaGDA+KzcoPv9WoqYv0+dc/5HopKDAJBzz2HZxOnXTS\nSZlYC4qYneFpdQU/WLaU7QUhrxh2SZsr4naH05H0sdHYbGjLjiZt2taQptUBubV+005t3dFkXzhK\nVBMBD4rMlxtr5fdLm7c35nopKDBJBzxAe5jBscPuKFPaGFoAu4enRY9Xe3p46hu9kkLHHFDo6qxj\n2pfc7qERQwt4kUURqK33SJJ8vL4jSTEDnmeffVaS9PTTT2dtMSheRryhBbwZlzSvnQF0tfgXR9I7\nxNc3BU4OOcFDsWiwjmlK2lDidtQ1S2IjXSQvZgfkAw88IK/Xqz//+c/2BoDhzj333IwuDMXFKsVg\naAGiibUPT3t6eBqaAo3ayZb/APmqPnhMJx3whGV4zCQvHAD5yM7wJJntBGIGPJMmTdKKFSu0c+dO\nvffee63+nYAHyWgzw5PtxSDvGDHGUke72BKPVdLGFW0UA6/hkycYuCQbxDd7mNKG4hIKeDiekZyY\nAc9Pf/pT/fSnP9WSJUt06qmnZnNNKEJGjI0lpUBJG2/Gpc0eS91q49Hkj436dpb/APnIKmeTkjum\nDdMnI6zPgbJhFIPa+mBJGwkeJCnuUP+jjjpK119/vT766CM5HA4dddRRmjBhgnbddddsrA9Fou2x\n1JS0lbpYG48Gjo0kS9rsBm8OKhS++vCAJ4nngiesnE3iAgAKn9/vp6QN7RZ3SttNN92kww47THff\nfbf+8Ic/aP/999f111+fjbWhiLS98ajEYOrSZsTchyf5YLiODA+KiFWiKSUXxFsDC6zXXJ4PKHQN\nTYadteR4RrLiZngaGxs1evRo++uePXvq1VdfzeiiUHysEcHRe3gc4mJNaQuNpW4RELdjgl9DY/sa\nvIF8ZB3PUnLHtDWwoKrCrZ0NHsqGUfCs7I5EBh/Ji5vhaWxs1Pfff29//d1338nj8bRxD6A1I0aP\nhkSGB7FL2gJT2pJ7LKsEiLGlKAb17ezhsTYdrap0J31fIB/tCPbvSPT9InlxMzxXXHGFzjnnHHXt\n2lV+v1/btm3Tbbfdlo21oYjYPTwxhxZke0XIJ3ZA3GIfHofDkXQszJQ2FJP2l7QFMkMdKtxJ3xfI\nRxEZHjYeRZLiBjwDBw7U8uXL9eWXX0qS9ttvP1VUVGR6XSgyoR6eaGOGkz+pRXFpa2hBe/fhoakV\nxcDag0dqf0mbxBVxFL7aOjI8aL+4AY8kVVZWqlevXpleC4qY3cPjbJ3hcTokPxFPSfPGGFvuaEcP\nT2gsdXrWBuRSQzuntFlDC+yAh+cDClx4hocMPpIVt4cHSIc2MzwOByVtJa7tDE9yj1Vvj6XmDA+F\nL6KkLYkynqZWAQ8vsihsO+oYWoD2ixvwsFkZ0sEKeKL18DgdEhvxlDavETg5iza0INljo4Gx1Cgi\n7d2Hx8rwdKikpA3FgQwPUhE34BkzZkw21oEiZ83Oj5Xh4aWrtHlj7NPkUDsyPFYPDyd4KAINYT08\nyWR4WvXwcIKIAsdYaqQibg/PoYceqlmzZqlPnz4qKyuzbz/uuOMyujAUF6u8KFoPj0O8GZc6w/DJ\n7XLI6YwMiJPt4TFMn31lmyk+KAbhJW2p9fDwfEBhixhLzfGMJMUNeNasWSNJWrVqlX2bw+Eg4EFS\njBhX8CXJ6XDIaHUrSonX9EU9NhxJZv/ae3II5Kv27sPDlDYUm4iSNo5nJCluwDNv3jxJgausDke0\nkcJAfGabJW208JQ6r+Fr1b8jSU5nchmeiPIfrgCiCDQ0hh/TiQ/isPbhqaKHB0Witq45mPXn9R3J\ni9vDs3btWp1zzjkaNmyYJGn27Nn64IMPMr4wFJe2hhYE+tJ58SplsQIeyZHUON3wDI/fT9kDCl9d\neNYyieeCPbSAkjYUAcP0qb7JUKfqckkcz0he3IDnlltu0e23366uXbtKkoYPH64ZM2ZkfGEoLtbV\nmGgZnmTLllB8vIZPbrer1e2Blp7Ej47w8h+Jq9oobH6/P2IfnqQyPAwtQBGxytm6dKyURIYHyYsb\n8Ljd7ohNR/fbbz+53QntVwrY2szwtGNzSRQXw/SpLEYPTzLvaw0tAx7eFFHAmr1mxIldUj081tAC\nu6QtvWsDsskKeDp3rJDEazuSl1DAs379ert/Z8WKFUmdnK5du1ZDhgzRE088IUn67rvvNGbMGF10\n0UW6+uqr5fV64zwCioHdwxNtShs9PCUvVklbssFweEmbxJsiClvL4zmZq9rWxqOV5WR4UPh21AUm\ntHUh4EE7xQ14rrvuOl1xxRV6//331bdvX911112aOnVqQg/e2NioO+64Q8cff7x926xZszRmzBjN\nnz9fPXr00LPPPtv+1aNghDI8MUraeO0qaYGSthhT2pIJeJoi5/1R9oBC1tDieE5qLLU3OLSAkjYU\ngdYlbUk0tAFKIOA5+OCD9eKLL+r111/X66+/rhdeeEGHHHJIQg9eUVGhP/3pT9p9993t29555x2d\nfPLJkqSTTz5ZK1eubOfSUUjaGkvN0AIYhhm1pM2ZZPavIXhFvJrJVCgCVk+afTwnWdLmdjlUXhbo\njeO5gEJmBzydrAxPLleDQhS3GWfdunW67777tG7dOjkcDvXs2VNXXnml9t9//7gP7nQ6VV5eHnFb\nY2OjvYHpbrvtps2bN7dz6Qjn9/u1ftNO7d2to1zO/BsfbpW0xczwZHtByBum6ZPPr+hT2pLs4akL\nniDWdChXfZPB5qMoaFZJm308J7kPT0WZS85gOToZHhSy2mBJW+c0Z3g2bqnXrrtUqqKs9dAcFJe4\nGZ5JkyZpwIABuvfeezVr1iz1799f1157bVp+OFf10+eT/2zVb2b+QyveX5/rpUTVZoYnkOLJ8oqQ\nL7zBYyPqPjxJ9vBYe5Z0tEaXclyhgLU6npPs4akod8lqmyTgQSGzMzw1wQxPGl7b6xo8uvyOV/T4\nok9Tfizkv7gZnurqap177rn21wcccICWLFnS7h9YXV0tj8ej8vJybdq0Sd26dWv3YyFky/ZGSdL2\nnZ4435kbobHU0UrakruKj+JiGLEDnmT7u6wSoE4d2KsBha/l8ZxUhsdjqqLMLWcw428S/KOA7bCm\ntHVK39CCukavTJ9f22ubU34s5L+YGR6fzyefz6d+/fpp6dKlqqurU319vZYvX65jjjmm3T/wuOOO\nswOmJUuWaMCAAe1+LIQ0Bify5GsjXyjDE6WkzSkls9cKiovXiJ39cyY7tMAuAQqUzTK0AIWs5fGc\nVA+PN5jhoaQNRaC2PljSFszwpOO13XoMI0/Pm5BeMTM8hx56aMwJSW63W+PGjYv74B988IGmTp2q\nbdu2yeVy6amnntLDDz+s//mf/9Ff//pX7bXXXhoxYkRqvwEkSY3BaT75+qZm9/BEG0stKtpKmbeN\nDI+UZElbk1cV5S6VBzcxzdfnA5CIVhnLZKa0BUvarJ5OngsoZDvqPOpQ6VZFefpe283ghVh6PUtD\nzIBn7dq1KT9479699eKLL7a6/ZFHHkn5sRGpyRMIePL1inZbGZ5kG9NRXEI9PK2bRp3O5AZa1DcZ\nqq4MK+Phyh0KmDWW2urhSfTEzDR9MkxfYGiBFfBwVQkFrLbeo07V5XYAn9YMj8n7RCmI28OzadMm\nLVmyRDt37oy40nrllVdmdGFITmNz4I0xX5+41guLK8boYVI8pautDI+1Ka3f77c3P25LfaM34k2R\nq9ooZK1K2hJ8nWz2Bkqcw0vaeIlFofL7/aqtb9YBe3dOa4mmdQGBDE9piDul7Ve/+pXWrFkjr9cr\nwzDs/5BfrF218/UEzzDa6OFhaEFJa3NogRI/WfP7/Wpo8qq6qizsqnb61glkW6uhBQmemDUH3w8i\nMjw8GVCgGpsNGaZfHavL05qxtCoA6OEpDXEzPJ07d9aMGTOysRakwOrhyduStuALSrQensA5bX6u\nG5nX1tACK6kTyC63neHxGD4Zpl/VlWWhsoc8zXgCiWhoMuRwSNVV7cvwVJa7CXhQ8KyR1LvUlMvh\ncMjpSE9WxjpfIsNTGuIGPIMHD9YLL7ygPn36yOUK1djvtddeGV0YkpPvPTym6ZfTIfvNN5wzydHD\nKC5eM3ByFn0fnmCGJ4HHscp/OoT18NC3gEJW3+hVhwq3XQqcaE+aneEpd9mloDwXUKh2BDcd7VQd\nmNDmdDrTlOGhh6eUxA14/v3vf+vFF19U586d7dscDodee+21TK4LSbJ6ePL1irZh+qL271jYhLZ0\ntTmlLSLD0zYr4KmuKktrYyuQK/XBEs1QT1pi97MugFWUuWRdY+K5gEJlZ3iCwzucTkdajmcfPTwl\nJW7A88EHH+jdd99VeXl5NtaDdiqEDE+0kiUp+UlcKC5tBTx2g2oCB0hDsN+hurKMMh4UhYZGr7p2\n6ZD08Rw+tMAqAeK5gEK1oy4Q8HQKBjwuZ5qGFgQfw5unF4qRXnGHFhx++OFqbmYX2nxnZXjy9U3N\n8Pmij6QOIsFTuqxygrK4PTxtq28MPAc6VLnZbBEFz+fzq6HZCAzhcCQ3Zj18aIEUuKhESRsKlZXh\n6WRneJxpCnisfXgIeEpBQmOpBw0apAMOOCCih+eJJ57I6MKQnMbmwBtc/mZ4Ype0hZ/UJjJ6GMXF\nHloQZR8eRxIjda2JVjWVZao1A2+Q+fp8AOJpbDbk9wcyli5X+zI8lcFNGp0OB8E/ClZtfeCi+y41\nwYu8AqsAACAASURBVB4eR3pK2uweHp4bJSFuwDNu3LhsrAMparJ7ePLziWuYfrmjDCyQFLFPBPFO\n6QmVtEUZWZ5EhscqaetQVaa6YD8PJ3koVPX28ewOy/AkOZa6nAwPCl/LDI/LlZ4APjSljQxPKYgb\n8JjBCUrIb6Eenvx84raV4bHwdlya7IDH1TrDk0wPjz20IKyHhwwPClX48exKcupgk13SFniLdzrJ\n8KBw2T08YRmedBzPDC0oLXEDnjlz5tife71erVu3Tn379tVxxx2X0YUhcV7DlGE9cfP0Tc0w/aoo\nj56+SWavFRSfUElb7B6eRGra6oN7UXWodCd9ggjkm4bg8RyxkW57MzyUtKGA1dY3y+V0qLoycMrq\ncjlkpnPjUTI8JSFuwDNv3ryIr7du3aq77rorYwtC8qz+HSl/S3jaGkudTJ8Gio/XiL0PjyOZKW1h\nY6mZ0oZCV29PHXQnnbG0p7QxtABFoLbeo07V5fb7Qbp7ePK1MgbpFXdKW0u77bab/vOf/2RiLWgn\nq39Hyt8rFabPJ7czRsAT/MhePKXJyk5GD3gCHxM5NuqijKXO14wnEE9oI93wfXgSzfAE9+GpCAt4\neC6gQO0IBjyWwPGc+rmO9d5jUNJWEuJmeK699tqIyVkbN26UM8aJK3Kj0RMKePL1BM8w/fakoZbs\nDE82F4S8YWV4ou3TlEz2r8EeS10mF2OpUeBSyVi2GkvtcCSUJQXyjWH6VN/o1f577WLf5nI6Et6E\nty0+xlKXlLgBz09+8hP7c4fDoZqaGh1//PEZXRSS0xiW4cnXEzzT9MXceDSZq/goPolsPJrQPjxN\nXjkcUocKt5zBYy1fLwAA8Vg9aYGhBckdz+Ebj0pkeFC4dloT2moiMzzpKEOznk8+f+BzV4xJsigO\ncQOeESNGZGMdSEF4SVs+nuD5fH75/NGv4Ev08JQ6o42Ax3r7SaT/oL7Rq6qKQL8DG4+i0NklbeEb\n6Sb4IsnGoygWLUdSS1aGJ309PFJwkqyz9aRQFI+YAc+gQYMiStmsTSE9Ho+2bNmiNWvWZGWBiC98\naEE+pmatKzGxS9oCH8nwlCav2UbAk8TGTA1NXnWoLJMkWbE1AQ8KVX1ET1rgNl+CvQahjUeDY6kd\nkpc+BRSgHdamo9UV9m2BDE8aAp6w54Rh+lReRsBTzGIGPK+++mqr25YvX6677rpLP/vZzzK6KCSn\nMc8zPFZDYMwMD6OoS1qopK31m43DDlziP059k6Gunaskye4zzMfnA5CIiLHU1sajyWZ4GEuNAhct\nw5Ou4zm8LI73iuIXt6RNkr788kvdeuutKisr09y5c7XPPvtkel1IQlOeDy2wsk6x6mOti/h5uHRk\ngVXS5o6SAUx0gp/P5w9meDpKUqjJm6whClRoSptbHm/gOZLoSV6Tx5DL6bAvMlHShkJlbTq6S02L\nkrY0HM/hz6d8nXCL9Gkz4GloaNDs2bO1YsUKXXvttTrppJOytS4koSnPhxZYJUvxhhbQxFOaQiVt\nUTI8CfYuNHkM+f0KK2kL3o83MRSo+iavXE6HKspcdulNwlPavKad3ZEYWoDCFTXDk66StogeHp4f\nxS7mfOmXXnpJ55xzjnbZZRctXLiQYCePRfTw5OEGWtYLCWOpEU0iU9riqQ+OpK6pCgQ89j48BNEo\nUA1NXlVXlcnhcCS/8ajHtAcWSJS0oXDVBnt4OoX18LicTvn9qV/gNcnwlJSYGZ5rrrlG++67r954\n4w3985//tG+3hhc8/vjjWVkg4ovo4cnyVQq/36/Vn23WIfvtqqqK6IeTESfDY+ENuTA1eQytW79d\nhx+we7vub+3D09bGo/EyPFaDd4dKq0nbmtLWriUBaff9tgZtr2tWzx5dEvr++kavqisjA3jrNbLZ\na+qTL7aqd8+uUUuFm72mPbDAuj8lbShEtVFK2uwhHn6/nCn0AIcPecrHdgCkV8yA55VXXsnmOpCC\nXPbwrPlym2568P906ZmH6eyTDoz6PdaaYvXwJHoVH/lp6Vtf6cG/fayZ4weo1493Tfr+humXwxH9\n+Eh0ZHl92CaNUiibmI7duIF0uP/pf2ntV9u04PbTE/r++iZDXTpVSgor0Qy+lv5j1XrNfuYD3frr\nn6h3z66t7tvkMdWxQ8sSoFR/AyD7Yg0tkILPhxQGq5HhKS0xA5699947m+tACqwMj9vlzHrA8/0P\njZKkuuAJZzR2hifKFXxJdmc6FyAL047gG9L673a2K+DxGqbKXM6oI6gTHVneEDbCVwq9IXLVDvni\n+x8a1dhsJrTBoWH61OwxYx7P1uttrNfdliVtLkraUKB21DerqsId0ePpClaLpHpM++jhKSlt1xih\nIDQFe3hqOpRlfR8eq762rRcLM+5Y6gD24SlM1jG3eXtju+7vNXwxg2FnkhmeDlUthhZwkoc8YV2p\nTuQ1umXG0ul0yOEIlXZajxHtqrRp+mSYvtZDC3h9RQGqrfdEZHek9F3QCn/+kOEpfgQ8RcDK8FRX\nlmX9irZVX9vWi4URZyy1k6EFBc3aZ+n7HxradX+v4YvavyPJjobj9/BYz4FgDw8BD/KI6fOrrjH+\na6XF2oPH6kmTAq+ToUAnGPhEKdm0Nh1lShsKnd/v1446T0T/jhRWspxiEE9JW2kh4CkCjR5D5WUu\nlbmzX9JmXbVs68UiXoZHCZYtIT9Z/+83/9D+DE9ZjGPD7u+Kc2jYJW1MaUMeqmvw2FlKI4HSmfoW\nx7MUmaWxAh2v0fqx7E1HW0xpk3iNRWFpbDZkmL6ICW1SWIYnxTI0StpKCwFPEWhqNlRV4ZLL5ch6\nk3aoTCP2i4URXFOssdSJli0hP6Ul4ImyB4+UxJS2xsgeHkrakE+s10kpyZK2ylDA4wrL0lij3BPP\n8AQ+8nxAIYk2sEAKe30nw4MkEPAUgaZmQ5XlbrmcjqxfpdgR7OFps6TNiDOWmqEFBc065jZvb2zX\nCZVhxu7hSXhKW4sSIErakE921DXbnyeS4Wmwx6xHZnisEzTrY7TX3bYyPPTxoJDECnjS9foefr7E\ngJviR8BTBBqbDVVVuOVy5q6kra2fG28sNUMLCpuVwTNMn37Y2ZT0/dsqaUs0w9PQcix1khs1ApkU\nkeFJIAsf2kg31MMTnuGxAp1oF7hCGZ7QfR08H1CA4gU8qR7P4c9FMjzFj4CnwPn9fjV6TFVVuO0r\ngNkMHJIZWhBzShtDCwpa+ElXeya1tTW0INEenroYY6nJ8CAf7AgLeBI5saqPl+Ex42d4KsujZHh4\nPqCAWJnRXWoie3jSVbJs0sNTUgh4CpzX8Mnn86uy3BVW15qdn+3z+VXbEL+Hx/q3WD08ie61gvwU\nftK1eVtyAY/f72+zpM2SSIbH6XTYfQvp2qcBSAdrfL+U2IlVQ5weHjvDE+X4tjaijtiHJ8vvDUA6\nxM/wpJaV8dHDU1IIeAqcNZK6qtIddtUjO0/c+iZvqzfgaKx/i1m2JIYWFLLwE7hkR1Pbx0bcfXji\nj6Wuriyzs4VW9SQlPMgHViZcSjTDExyzHj6lzZFghifGWGqJCwAoLHaGp+WUtkxkeLI88AnZR8BT\n4KyAp7LcbV/VzlZqNrIuva0eHmtKW9t9Gn6K2gqSEfZGkWxJmzVtKlbAk2BFm+obvaoO63dwpmmK\nD5AOib5WWkIb6UYe09bxbD3novbwtDW0gIAHBcTO8LTch8eRnoxl+MTEaCPeUVwIeApcU/DNLTC0\nILuNqZGTh9rK8Fj78MQqaUvwrBZ5KfxNI9kMjzfOBD8rcPHHufjW0OSN6HdwObMb/ANtSfS10lLf\nFK2kzWkHLKENSGNneCrLuQCAwha3pC3FMjQyPKWFgKfANdkZHlfaJpckKnJvibZ6eIIZHmdqk7iQ\nn6yAtqrClfRePPFK2ixtHRum6VOTx1RNi00a490PyBar11FKMOBpjDa0IHwcdeyStqbmKCVtZHhQ\ngGrrPXI6HRGBv5S+13f24SktBDwFriFKD0+qVz0SVZvg5KFQhie1vVaQnwzTJ7fLoa5dOmhzOzM8\ncae0taHlHjwSG48iv0S+Via2D095mSvieeGMkuFpcyx1GRuPorDV1jerU4dyO8CxpKuaJfxciWqA\n4kfAU+CsDE9VudsOKPKtpC3Uw8M+PMXINH1yuZzq1qWD6psM++p0IkIBjyvqvzsS2DAx1iaNEkML\nkB921IVnwxMbWlAdFsD/f/beNUiS7LwOO/moR3f1Y6Z7Hju7Mzs7M/uc2QVBEYQAkESIMC0SIGkw\nLMoWRIlyhM0Im2KYDjOkcDj4g3LoGY6wqRBpUyIlIyhRQoAvgARIQAAIkCB3lovHApjp3tnZnffs\nvLt7qrqq65UP/8j8bt68ee/Nm1XV09W9eSI2era7sjIr6+a99/vO+c4HRJs8E4anTy5tMtOCco4t\nsYvQbA8y9TvA9pgWlAzP3kcZ8OxykAVpPe7DA0yfpC2vTqMs4dnd8PwQrmPj4L4ZAMXqeIxNCzQb\nNQqw5gRHK6DMaJfYefQGHgYx6wKYMTyRCYcg47HMbKmlLm3l81Bil8H3A7S7w0z9DrBdLm3ls7HX\nUQY8uxzdWK89U+VNC3ZA0qY5J00kjl2aFuxF+AFJ2qKAp4hTW65luZVvWiBr0khsYlmIWmKnwVtS\nA/ljMgxDbPWG2boFJ3Fpo/fQNR4tGZ4SuxlU9yZaUgOJS9u4QUrZh+edhTLg2eVI9eHZIVvqWtXR\nyjRoIlEyPPHPcjHenfD8EI4dSdoA4P56cYZH1XjUZrGwjuGhniWcKxXLaBtfSokS2wJ+ngTyGZ6B\nF8Dzw1RNGhBt8pL+O+l+PDykttRlTVuJXQaVQxsQBf/AJBiesobnnYQy4Nnl4F3aHnWhdrPdR8W1\nMTdT0S7ifp5pgYL5KbE74PtphudeAae2oRdtztSStvx+C1tSC98yo11iOtDsRLWOS/N1APk1PCTR\nzEjauD48JrbUtaokAVA+DiV2CYgZlQY8E2J4+CCnZHj2PsqAZ5ejy9XwPOo+PK3OAAuNKlzHNmJ4\n8k0LJn2FJR4FPD9kpgVAMUkbq+HJq+8yqOGZldhSPyrHwhIlVKBM9dJiFPDkMTzagCcIEYZhwvDI\nanhKhqfEHoCq6SiQtLgobalLFEEZ8OxyUM+FmZRpwaOq4eljsVGD61jwNAspTSoqhocinjIbvztB\nNTz7F+pwbGvCpgX5luVkS827WpU1CyWmBeTQtrQQMzw587PMdRDgWcucGp6hD9u2Uo2eS9OCErsN\nxIwuSGp4tsW0oJS07XmUAc8uB6vhecQMz2Doo9v3sdCowhmT4bFL04JdDc8L4Ng2HNvC8r6ZQr14\n8hqP2gYMD5O0SVzaSuedEjuNVrxx278Qbdw8L0/Slq1JA9KbPG3j0YGHetVJzGBQJgBK7D4Qw7Mo\nkbRNaq8TBAFTEZQMz95HGfDscnT5Gp5HaFqwuZXoa13b1vfhyanhIegK00tML7wgZNnkQ/tnsN7q\ns9qcPORZlhP9p2V4utkaHtu2YFllRrvEzoM2bssLhpI2SU0agBSDr208OvBTcjYgSRyUz0OJ3QKt\nacEEGR7qAVcmx/Y+yoBnl6PHmsy5j9S0gGQaC3NVOI6lXcQZw5NjS10mH3cnqPEoAFbH8+Bhz+jY\nPEkbdYjX1vBoJEDlIlZip0Ebt/2TkrTlMDz9oZ+ypAbKRrwldh+osfninFrSNgnTglolWmRKhmfv\nowx4djl6fQ+12KHtUfbhaXH6WlPTAlUW30S2VGI6QQXU9N0WbT6aBDyO9O9GLm0qCRDXqLFEiZ1C\nqzOAZQH74o2bqWnBnKTxKEABT0GGp5S0ldhloETBvEbSNgmGh56VsoZn78PNf0mJR4X+0MeffP0G\nPvjuJzIOPSp0+x5matHXSFl2k07eKvz5t9/Gs0/uZ5l6FYjhWYwZniCMJh9bwuLQRKKq4SG8E9bi\nL33tOl48dQCHl/T3d7cgYIYU0Xd7kJzaDK2pc00L4p+6YLjdG6Lq2pmgibfxzRzTHeLzZ68yC18R\n7z3zGJ4+uk9/8SVKGKDZ7mN+tsrGeK4tdWzCIfbh4bPazJZaktzqD33Uq9kePkApaSsxHej2Pfz5\nt97Gh773SaXyo9UeoF51MsE7wAf/0fj/k6/fwOkTS3hsuQEAWLm8hm+/eV/6vrN1Fx/+wAnUKlH/\nwGqF+mNF73Xh6jq++cY96bEzNRcffv9TqNcmv3W+cquJza0B3vX0wYm/d4kIZcAzRfj66l38P7/z\nbVgAfuT9Txkd0+37mIkXt3GzHheuruNf/ObX8cPvO46f+5vv1r6W19e6se7IDwLYdnZyGsT1HFVF\nFp8W8r0e8Ny638Yvf+I1fOQDT+F/+hvftdOXMxGQO18iaYsYHlPjAsb+jeHSttUdpiypCY5tKbN2\nX33tJj7+2VXle56/tIZ/+rPfpz5piRKG4O37gXzpzJbCljolaQvS/XgIfhBi6AVKSVsZ8JSYBvze\nl9/CJ77wBg7un8G7nz0kfU27O8DcbJbdAZLkqR8A99a38H//p2/iR97/FP7+T0br6q/+zrdx4+6m\n8vyH9s/iA+96HH4QsoCH5HH/7+9+B5dvNZXHLi/W8cHvPpr/IQuCzvvb//RHU4YjJSaHMuCZIqy3\noroHMiIwQW/gYTH2qR9X0vbyudup69CBLCMXGzU2+Xh+iIpkRLU6Azi2lclYitjrpgWjfL/TDtpw\nUdBbtPloXh8eJnfUjI2tnidlRHUMz1acRf/pj7yA548vpf72j/7tK6wuqESJceAHITa3Bjh2eJ7b\npOnnuXauaUHIAheRze/HNZ3VUtJWYopx7tIDAAmbKcPACzCrYFKSRrohtuL1lBIFQCQLXV6s4xf+\n9vekjvvGhbv43S+/hW7fQxiGkaStmmZ42r0h9s3X8A//zntSx37rzfv45Bcvbtv6vdbsoj/w0el5\nGTlricmgDHimCBREDHNsSwlhGKLHS9rGKOQLwxBnz90CkHQ41iHF8Dh6qQZlOFVZi3eKaUEzvmem\n3+9ugCfIFZmk7aFpDU/E/iklbcT+aW5ZuzvEoaWZzO8d21YyPMN4rD5zbB9eevpA6m8zNZdtHEuU\nGAftrQHCEAUZnljSpmB4BpwDojjnkkQzw/CUkrYSU4Kh5+Pi9Y343+pnYegFqDRUZjbxePYDtob0\nBslz0R94OLh/NjO3rzW77L3pUagJkrb+wMP8bDVzbNH9WVHQ/qDV7pcBzzahNC2YIlAQYeoW0h/6\nCEIwPak9hi311dst3FnbSl2HybUuzPELufy8FPCowNrw7PGIp+j3uxvgC4YUtYqDfXM1c4YnT9IW\n/1RlpgdDH54fZBytgMjhTXWcp7HDrlUc1q2+RIlxIE8MmdlSz9TkNTzDYTJ/iA2fadyqTAv2+BRb\nYhfg4vWHLGjQ9aTy/ECZCGPJ3TCE50WDuj9MklQyp0IgWWc8P2D1P45twebkz/2B4ljDhMUo6A08\n9uya7L9KjIYy4JkiELNimkHo9aMHRKzhGYXhefk7t9m/KZOhA13r/GyVk2pkr9vzA3S6Q6m1JMGi\nXiuFrnj3obXNGaKdAAUsvCHFgf0zePCwa5RNzjUtsPRjoyNpOkqwbVt5Dbrz1quO0sygRIki4AOe\nRPqb13h0iNm6mynmdmLZKD82xQ0jbZrqpS11iSnF6pU19u+h5lkYeoHSvZOvSRv60Zinse/5ATw/\nzDwDQCKdHnoBZ6Zkw7UteH6AMAylph9AslZsx/q92UnkeGXAs30oA54pQqug5Il68NRr0YOdFLUW\nfyBfOX8bFdfGs0/uw1bPy72GVqePxkwFrmOzzIfsmE2NtSThHcPwFAxodwNYU1k7mUoO7Z/B0AtY\nHwUdPNOARzE2ZE1HCbamDw8ttLIFtVYtGZ4Sk0HKvt82lLT1hgrGMmZ4uPlDTDIlkrb0ho3m2LKG\np8RO4/xlLuBRNKimOrU8hieITTqAZOwP6BmQFBTTfD/0ArY2OLYFx4nkz0MvQBhmGdLo2O0LePgk\ns8m6WWI0lAHPFCFhAMw2W1Q8N24Nz637bVy93cJ3P3sIh5ciW8fNLX2WodkZYLEhmiVkz0u61EVt\nwPPOkFsUDWh3AzwJw0OW5ia9eFjg4aj68EQ/VQHPlsLCF4iseEdheGoVFwNuQSxRYlSI9v2AiaTN\nQ0MynonwGfAMT8a0QC5pK22pS0wD/CDEhavr7P9VkjbaA6mkzjxjyQKeQbqWRyZL44MWmt9t24Lr\nWPCCQH+skwRLkwbP6pQMz/ahDHimCEWL2rMBD9lDF1vUzsbubO9/6QirtdFlGcIwTNXl6LStfIZT\nBeZlsMfXYrqnOhp/t4HGGu+yRs1H7z/Mr+Ohse66ckML2uSpSEtVk0YgdmlTBjxqswRa7AalrK3E\nmJDV8Mh65xCCIMRWbyiVaJL1Oz8ujU0LSlvqElOAq7ea2Op5zM1TtddhzL/SvTPL8FCwogr6AT7g\n8Rk7mjA8geGx2xDwcPutZhnwbBvKgGdKQEEEYF4URzU8pDe1DTOIIs6euw3btvDeM4+xIEaXZeh0\nhwiCkNXl6DKXfIZThbzC9L2CVsya6Qo1dxsShocLeIjhWc8PeBJJm4rh0UfDVMOjkgCpgn8qdJWa\nFsSbxVLWVmJcpO37800LegMPYagYz/GzMOBMC6jhM388oK7h2etzbInpxkpcv/PuZ6LmmqrgIUmE\nKSRtDteTyk9L2uinrIaHye/9gD03jk01PCEzPsgzPJg00gxPKWnbLjxyW+pXX30VP//zP49nnnkG\nYRjiueeewy/+4i8+6suYOlAQARRgeBQ1PEUYnrVmF29c38C7nj6AhUaVSc901tR81hLIY3jSr5Uh\nrzB9r6C5J2t4yO2Ml7SZNx81NS1QDelObOHbmJFI2jR9eKjQVS5piwOekuEpMSbSDZrzTQvYeJYE\nPDS/i+OSb/isdGkrJW0lpgArcf3Ou589iC+8el35LCQ1lnqGRyZpo5YCOkmblzItkDA8OXK4SYNn\ndZoGbUFKjIYd6cPz3ve+F//yX/7LnTj11IKP8I0DHqpfEGt4CmQgXonlbB946QiARHqmyzLQA7kg\n1vBIMpdmAU/8jz2+FrManj0kafM4pxtC0ovHXNKmki7k1/DoTQtUBh7aGh7G8JS9eEqMh1abd2nL\nZ3gS10FJDQ8zLUgHPHzD51LSVmJaEYYhVi+vY2mhjicOzgEYXdJG8v0gTAIezw/g+1wdTo4sjTct\ncB0L/WGYPD+yY51EDjdp8Pu/zVLStm3YEUnbXnfjGgV8VG+6IU5c2uKAxylew/NyHPC8jwKeWHqm\n05GKdTmM6pVsLkmbqrOlJuxluUWv7zHtvbcNE+ZOgXTQLmehOz9bQb3qGJkWeH7A+iDIkGdoQTU8\nYpNGgCRt8uP0pgXRYtcrJW0lxkSr00e14qBecxkLqqvhYa6DivEMAP1h+ng+wZXXh2cvz7Elphu3\nHnTwsN3HiyeXc9mSPOafTEH5Gh4gCvhVQT+Q7FWGfpCSY7uODc/LMS3YToYn3ie5jm3UFqTEaNiR\ngOfSpUv42Z/9WfzUT/0UXn755Z24hKkDz6iY1niQaUF9xD48zXYf5y+v4bnj+7G8GMmQTGp4VJI2\nGbNkwvDYlnyzu5cwCoO3GyBjeCzLwsH9s0bNR4eer9RpA4lpgdKWWsPwOAYMj7aGp5S0lRgTTc7c\nxbIsOFyDQxm2NDVpjobhISgZnlLSVmKHcf5SJGc7fXI5ZQ8tQ24ND2fQxD8P/YFvbDwQcAyP49jw\nA9604NH24aH9weMHG6VL2zbikUvajh8/jp/7uZ/Dhz/8Ydy4cQM//dM/jS984Qtw3R1R100NmiNs\niCkbkbWlNjv+a6t3EAQh3v/iEfY7YmJ0Lm3ManouLWkTLVKj1xIblC9p28vZx70b8GRreADg4P4Z\n3Li7qewpQhh6gVK2ACRNaVX7NLKllmbENbbUnh/AdWzOFCEBJRBK04IS46LVGeDooTn2/45jaxl8\nE4ZnIDA8fB1ET0iCiceWAU+JnQI1HD1ThOFRubRx49kTGR7G0qj78HgSSVtkWqAxPNhm04L52Qr2\nz9dw/c5m3HS19BSbNB75HT18+DA+/OEPAwCOHTuGAwcO4O7du4/6MqYOqQ2x4QOlsqU2XdTOnrsD\nILKjJszPjs7wqEwLZmqu0oUL4Jy49vBazNPU2zFh7hR8iUsbkPTiuZ/D8uRN7Bb9KbfxqMS0wLEQ\nhHJ2KDqvnFksTQtKTAK9gYf+wMfCbJLscR1LW2PZoQBeNp5ZwCMyPOkNH6Cu4fH3cFKpxHRj5fIa\n5mYqePLwfGIeoHgWPGZaIN83pPrwCJJOnWkBJeaGfsASw7ZtwbENTAs0DdbHRavTx0KjalRDXWJ0\nPPKA5w//8A/xK7/yKwCAtbU1rK+v4/Dhw4/6MqYOfIBhKmlj2TxyaStgS73VG+K1i/fw1JEFPH4w\nyUBWXBuNuqsNeJpCXU6eLbXOkhrIL0zfC0h9v364ZzKtxOq5Qg0OObXl1fEM/ZyAJ8+lLZYAzWhs\nfGX3eugFcBXNTktb6hKTQIsx4Un9omPbUiacoJO0MVtqT3Rp4yRtuS5txpdfosTE8OBhF3fXt3D6\nxDJs2xq7hsfhGJ4iNTxqhsdGECZJZJkcznFs2NbkA54gCLHZGWChUUtccktZ27bgkevIPvShD+EX\nfuEX8LGPfQxhGOKXfumX3vFyNiAtITN1AWEMD/XhKVDD840L9zD0ghS7Q1ho1LQZBlOGh3oLnXxi\nIedq9JvavQDRatLzA1RtNeu1W8BsqYWFybT5qOcFmJVkswnMwE/l0tb1MFNz2ALIgy/UFu+0p2GW\nGMNTurSVGAOy+sVchienkS6gl7SpNntOKWkrsYMgO+ozJ5cApBuAyqBrDA2k5/aUpC2nhocMcoYp\nW2qbJW0p4SALlgDAdZ2Ju6y2u0MEIWKGJ78tSInR8cgjjUajgV/7tV971KedetDiODdTeSQ12tF6\nnQAAIABJREFUPGdjdzZpwDNXxaWbWwjDUFrj0Or04Tp2Rkonnrfb9+D5AaNpVUj2qnt3MaYAcm6m\ngnZ3iKEXoCqZkHcbmGmBLQQ8rPloDsPjBVLjAEIew9PuDaWGBdE1JcyjWIM69HzlYlovTQtKTACt\ndjbgcRwbniboIEmbLAnAJG3xZtCyIqUnz6yr6hdog7iXWfQS04sVrn4HSNYLVfAwZLWheoYnGvtc\nDdvA09bhAFEQNfT8lGkBnYcUA2INHH/spBuH095gca6GhTmStJUBz3agrIqaElAQMd+oGtd4dPse\nLAts42zq0jYY+vj663fw2PIsnjqSZV8WGlV4fsgKwrPXGjkP0WaU2a0KUg0ThzYALI2/l9diuhfL\ni3UAe8e4gNlSO6KkzbCGJ0fSlhcMb3WHUktqQG/FG/UuUTA8paStxATA7Ps5SVsew7NlZFqQzmB7\nQg0D/zfCO8EYpsT0YuXyGmpVB6eO7gMQjWXXsUa3pbaSuT0jadOYFgBRLU7UhyeuP7Uttnfa6qol\nbXQ9k167+b6GtFcqram3B2XAMyVodaJalyIPVLfvoV512EJIheN5soVvv3kf3b6P97/0uJTBWWzo\nswzN9kCQachtqWUadhnIiWsvr8VJwBNJvfaKcYHMlhoAlhZqsG0rV9IWmQdoDC2YFCf7tzAMsWXA\n8MhreHxl9pAsSUuGp8Q4aEolbba2xrKdY7MOJJI2Csx9wZaaNpM8SlvqEjuFVmeA63c28dyT+1Nz\nrm6v4+UFPBzDI0radI1HgUh+zTcetSUMj1LSluOyOApanOutSVuQEqOjDHimBBREFAl4en0vRb2m\naV41SM72AYmcDYA2yzD0fHT7XsqIIKnhSZ+X6pLyGB7Wa2UPS9qa7T5sC9g3HwV/e4bhUdhSO46N\nA4t1rWmBH0TmDVrTgvinTIrT7XsIQnk2HNDXtOnc4WixKxuPlhgHbCMjBDy6ZMdWdwjbtqQbLiXD\nE6Q3fLWKk0lklbbUJXYKr8dythdjORvBdRzlszD09QGPw7H3Q6GGTWdaQO/p+bxpQVLDQzV0OoZn\n0o3DW1zrDpO2ICVGRxnwTAEoiFhoVBndaoLewGN1NAC/wVMf7/sBXjl/B0sLNTz75H7pa3RZhkSm\nxjkPOfLzmkva3hkMz9xslU2kpsYU0w4VwwNEdTzrrZ5GthDdA13jUdq4yYbGlqbeAVBntcN4kSwl\nbSW2E7L5z3Es7fzc6Xlo1F0p885c2oQNnZ/a8HnaYKm0pS7xqHH+ctJwlIcuuZsraVO5tOWYFgCc\npI2tXeYMz3ZI2vg9VcnwbC/KgGcKkGQCa6i4Dst856Hb91CvFWN4Vq6sYXNrgL/64hE2aYgg9qYl\nyTKospaAjOHJvlaGd4otNUkWgb3D8LDGo7Ys4JlBGAJrTbmsjcaLrvGozYLh7NjoaOQ/QLobNw8/\nCBGG6sW0XgY8JSYA0b4fiJ6ToacxLegOlYwlJZYG8dyR1PAk79cb+NJi7VLSVmKnsHplDY5t4bnj\n6QSraxTwyAMP3qCJTx72Bj76Q3Ufnug9o/PKTAtYDc+OBDylpG27UQY8UwB+wCcGAPqHKghC9AZ+\niuFhtTSaRS1PzhZdh7qGR+o8ZMuvOaFqc2p49jjD4wchNrcin336jiatA94pJI1Hs8FznnGBCcND\nmjZZsbWuKz0AUAwmbvK8nMU0aTxa2lKXGB2tzgCWlbaYzmN4tnpDaQ8eIAla6LmhomzRtEBlxwuU\nAU+JR4te38Olm008fWxfxvms4qgdzyioEKXSBJur7UwzPB56Ax8ux9qIqLhRHY7H1i5O0hYn0aqK\ntaGSI0kdBbz033Xy+yCWGB1lwDMFYEHEXI1twvKyCIOhjzBMWy/m2VIHQYiz525jbqaCF08dUL73\nwpw6y9CUOg/J+/DwxXg65PVa2e1obw0Qxj77e47hiTdQssUlr/lonmwB4FzaJEMjT9JGDI8YLA0V\ndUeEUtJWYhJodfqYm6mk5J6uY0dW0pLAw/cD9AZ+LmPZj00L6grTAp2krYx3SjxKvHFtA34Q4syJ\n5czfyB5aBs/XJ6Uo+I8YnqxLm0rOBsTGA5LGo0CUcKhWHKX6xXXtiTcOF82dFub0fRBLjI4y4JkC\nNLmiNdMNMWs6Kq3hkT+Mb918iLVmD+8985i29wkzLZA0v1Lp0oGslM60hkdXp7EXwN8H+n4n7eW/\nU1CZFgDAwX0xw6NwamNMy4h9ePIZHvnzkCeXcOOO2qVpQYlx0Iq7p/NIZMfZ55968DRmFDVp8bFD\noYaHNod+XM9QE5tOoZS0ldgZnL+c7r/DI2Ja5OMxLxlGe44gCDMMpyroT87rpGp/eFtqzw+1wVJF\nkdwdB83OABXXZgmMhUYVrc5gzyaAdxJlwFMQX3z1Ol5dvTPSsX/xnVv45oV7md/zTIhxwDPIBjyO\nIGn7zJ9fxrm3HrC/v/ydWwDkzUZ56GypWV2O1KUty/DYtqXckBKSGh7gi69ew9dfv6t9PRBtGD75\nxYu4s9bJfe1Og8/gsO+34IQZhiE+/WeXcPV2a+LXNw70pgUxw6NoPmrC8PD1Xd9+8z5++RPfZP99\n9i+uAFDX8PCFrecvPcAffPWS0Xkty0Kt6jK3n4vXN/D5V66yv7e3Bvitz11Ar19K3vYSun0Pv/W5\nC6zb+jgIghCbnUEm2eNoNkx0XqWkLR6uoksbMfr9gbr+QNeTKgxDfOpP35q6uQUA7qx18Ku/8238\n8ie+iV/7ve/g4WaZ+Z4WrDW7+K3PXdBu/levrMGygNMnljJ/0zmeEfMzah8eVQ8e/j1JsswzPABQ\nr+mDpej6onP+7p+8iYvXN5SvN0GrM8Ai19dwsVHT9kEsMTrKgKcg/s2nzuG3/vjCSMf+q09+C7/x\nB+czv+cbTyUbYn12udePuwlLTAsCP8TQ8/Gvf/8cPvnFi+zvb918CAB497MHte89W3dhW8Dmlozh\nydblqBqebm4NMDdTkToO8eAlbf/698/hP3zude3rAeAbF+7h3//x6/jc2au5r91ppDS6I0rart3Z\nxG98+jx+/ytvTfz6xkHC8GSnEmqyuqHYpAxzZAsAz/CE+OQXL+JLX7vB/nv96jpsCzh6aE56LD8u\nf/tLb+LXP3UevYGXu5gC0aaRJG3/8fMX8Cu//W3GKH3127fwiS+8gT997aby+BK7D2fP3cYnvvAG\n/uy1t8d+r3Z3iCDMynldR83Cm0o0mWkBq+GJ3ktnx6uzpb630cW//YMVfPwzKzmf6tHjy1+/gc+d\nvYovfe0GPvsXV3D2/O2dvqQSMX7vy2/hE194I5VUFXH97iYeW2pgbjar8qi4NoJQznYmNTw5fXhi\npoYSv5FLm6dnaSjgied33pYaULu78ccOvQDrrR4+/tlVfOpPLylfb4JWu5/aT5XNR7cP6jC4RAZh\nGKI38JicrAiGno9Od5hiZAh8EMGK2g0lbXwNT6JrDZkch7/WqJjPzhQPihAz3DykzfRcedayP/RT\nAZnufEBixNA1yGwQVT7Kd/GowUvaiBUoGvDcuLsJYPo+r8fpoEXQhmygaODp5RSmAsmYRghs9T1U\nXRu/+g8/xP4+U3OVjW35TR7dt/7ATxgejZSuVnHY+H8YB6y9gYfGTAXdOBN/425beXyJ3Qf6Xh9O\noAdGkuRIj00VGw4kGzDV/MwkbYJLG20YdXa89HjKAh5ill6/ug4/CKXP8k5hK35uf/wHTuIPv3rZ\naG0o8Whgsgb3Bx6WFurSv/F7HVEhYMLC21ZiS92YqaDb94wkbbRfoT2SLRgc6OVwyTUPvOweqyj6\nw6hR6gKXGOGd2h5Xl1qXGAFlwFMAAy9AGI7m3kSbXlkhdJOzejat8VDV8NhWJHGg8/BBS0T1qh9m\nHnyGm8emons4kK3h6Q985WaUB+1p6VpNOtyvxpOtyWt3GpSpWWzU2OakaPOym3HAM22fV8fwOLaF\nimsri//zammAZGwEYcikCo8tN4yujXemYs/DwE+stHMYno1WD0D22aWfN+5tGl1Hid0BerYm4ZCk\nMmxRzZXR+fWWuGIhdVLDU4DhkUja6Litnodrt1s4+cSi9Pw7Abq2I/EzP23z3zsVW70hrt5qAlB/\nJyHN2ZomnkDE9IshUWJaoDG0sW3G8Oybr8KxLXR6Q+M6nN4gkbTxQX6e4QFdn7gejALZfippC1I6\ntU0apaStAMYZ4GzTJJkcaNDPpyRt+oCnJ6nhAZJJgAUP3LX2h3r3Eh58hlv8HI26m9rgqmyp8zIt\nBNrU8ll4HXp9j8nzdoOTVsp2nDTAml5JMty4F7EJ0/Z5E2tPheNZxWFjVYRRDQ8Sy/KIMTQbv0Da\nyYc2k/2hb3TeWiUJ+ElyKgbkFISW2BtIvu/xGR6VYYujaTuQ1zDREaTB2RoeDcOjkbTxc8pKnEia\nFtC10Sawr5hLSjxavH51nRnJqNYkzw8QhLqeNmpH2jxJGxCNaTItqDgOalWHyfBNWJpE0iYwPEaS\nNp9LKo8+JmW9uhKGp5S0TRplwFMAMtbEFBStD4Z+ZtFptvtozFTgOrZxjUePSdrSAU/U5yGUPoyT\nYHia7X7KkhqQZy0pq24SYJGkzfT+ktWlyWunAWzzkzKlKHbdN6aU4aHssmphqlXlgTOQX5gKAFb8\npzAMMTAcT4TEySedrDCRtNWrLgZegG7fY5I8MeFxb6NbGhfsIUyW4Unq9nhoJW0ahgaIpDc86HU0\nnnWSOL7IW3VeYAoDnvja6D5O2/z3TgU/TlTfSTIe9QyPTM1ikpRy7MS0gFzO6NnVyfaZpK2f1PCk\nTQvyDQ+GHpdEGyMJKUuM0P6q7MUzeZQBTwFQptrzw8K2hPzgFWsaWpybj7ktdfQeM0KBq2NbCPyQ\nXStvrZtXzMcjynCnN3NhGKaulZ1TkrUcePrFmwct43StvEe+DCtXuMl2yhgPGVoSU4oittR+EOLt\n+8TwTNcGmzE8Ct0/z5SIGJrIFrimtL2BZxyw88f6QcDGVmRaYCZpA4D7XA8heqb4Bf7m/bKOZ6+A\nxsgkJW1qW+rs/NbL2SDaAsPD+vAEBpI2jS11v88FPFfWpsoOl+YOuo+7Yb5/J4APeFQMfo8xjvIA\nQqdmyWsODcRqlngv5ro2ahWXGX8YmRakXNoKmhb4/Joy+piU1UTr2oKUGA9lwFMAYj1MEfCOG/z7\nUBCxSAGPE+uyTWt4RIbHttI1PIKkTbWYiqAMN79Adnoe/CBkttUEWdYyL7uTQrwY8xOnbmNPk61t\n7Y4FsNXpo1Z1UK+6jFUoYlpwb30rk8WdFvg5DE9dYX4B8KYF+dNQEIaFJJlAum6Bl6OZ1A7Refge\nQn3JAlfK2vYO6PttTcS0QC5pMzEtUG0QxaQCjVHPxLSA60yfOS+38Xu42cftB9Nj9U+faX62mvr/\nEjuHwdDHxesP2XhUfSd5jKXOoCmvOTQQBfF0jopjp86jlbSxGp7EtMAxNC3gFTjjKH4ILa6+l6Br\nC1JiPJQBTwGIwUMR8IOXfx8KIiiD5bqxE49hDY9Y0+DYUSdguj4/1rhG/4WFJG1Amo1SyTRkttRs\nsjPYoNpCDQ9/vIihF+DCtQ08dWQBM/XKrpA4NDlWbBRbar44fto+rxfk1PAopJGAmWyBMtODoY8w\n1EsVRLDaMi9MBYysIFazmNL4v7fBBTySujiqrSqx+8FL2sZlOdhGRpD/ir3SZOc3Ny2IngWfmRaM\n1oeHxvPzT0W9Us5PkaytP4ycGUnJMG3z3zsRF69vwPMDNl7yJG3qGh61vNvzAriOrW1p4TgWO0fE\n8HABj854QFrDY8jwOIlCQ7YeFEVLkhgpbam3D2XAUwBjMTxtOcOTLIwkaVMX8vGQubQB0STAu1LR\ntSbN6sw2jPTQp661QNYymewMbKljUVuvn39/L739EIOhj9MnllDXbKanCSkGb4SAh2cRpu3z+ix4\nUNTwVBzmpCPCRNJG610vZ/GUgTZ5YiCdSNo0DI9E0iari7tRMjx7BvT9DrxgLJkKIJeqAEnGehTT\nArVLW/RePR3Do5O0xXP89zx/CMB01fFQ3SkpBaZt/nsngiTlNF6UDE/OeNathVSXo4NtWUwJUnHT\nDI9OWULvS0lj17FZjyvA0JbaTzM8oyZI+PpewmzdhetYJcOzDSgDngLYDoZHDCKSDEKeU1lcwyMG\nPLGkjV+wewOv8IaRXse/j8pq1ZGYFuRNdjyoMD0laVPc35VL0WR75uRy7CQ3XTUtInqDqDcAMXgV\njaRFBer3stCojjW5bgfItEDcjBFoHMm+TyOGRwhaCpkWxMdSnxEgGs+mLm0AcJ9jeOhZ6A98OLaF\nRt3FzdKaes+An0vG3Wy0OgNU40JqHrSxkttS6+dolaSN1fBoZMQmDM+zx/ajMVPB6pUpCnhiGWu0\nKbVKhmcKQGvwdz8bBzwqhmeY7RXIQyfvHvp+fsDDjQcx4NFL2uK9TbyHskWXNkNJG+1XIqe40dbk\npkQ1Y1kWFhrV0pZ6G1AGPAXA15WoCvVU4BdQ/ljRpcPctEDh0sZsqdPBQ6GaGnAb1dS1qiVttiUw\nPDmLNw9ieERWSgbKLp05uYxa1Rk7E7vdGPX75XHz3iYc28JTRxYQhkmn9WmA7wdwHUspPWBMoeR5\nMamlIbCAZwSGZ4tneAY+SyZoAx4maeMYHq4OqF51cPTQPG7d7xQ2MCkxneDnknGtqaPu6dXMc0GS\nZdmYoXWheB+eWK5p0odHwvAws4Sag9MnlnBnbQtrzW7mdTuBHucsGs33053g2uvw/QAXrq3j6KE5\nHFqaBaBeq/OSrKqG5YAZw+PYFgs0KgUkbTLTAicladO5tCUKnLTiZ7RxyfYHs+k91UKjVtpSbwPK\ngKcAxpG0pRieYXZhZQyAacCjqOGx7bQtNV1rkZoa/nXpayX6NdtM1HFs1g+CzgmYmhZEP7qD9MZU\nRBCEWL2yjseWZ7G8OKN1AJsWMAavoGSREIYhbtxr48iBBhozFQDTJevwgjDTJZuHjuHxcuRwQCLF\nydOD645NS9o8IyldnmlBrerg6OE5+EGIO2vTU+RdYnT0JWz2qIjcLLPzpEsMj6YfjlLSpurD46cZ\nHtmGjWIlfe2QizMnlgFMj6yNmg0DesfHEo8GV2610O37LOEI7KCkjUsAVFzHnOFhkja+hsdQ0sYp\ncMZR/BBanQHmZiqZNXShUUWn5xVKjJbIRxnwFMA4AzxVwyNZWGlDrMt68Oj1PdhWdjJxHAs+Z1pA\n19rPyR6KkE1mqmZ6QKRN52ldVkBbwLSgl2NacO1OC53uEKfjRbledZkpw7RCvGc6ZxoZHm720ekO\ncezwPMeWTM+i7/sBXIWcDZCPI4KJPbTYlHYUSVu3lw6kjSRt8XWvPZSbFtQqLo4dmgeQSA5L7G6k\naytHD3j6Qx+9gZ/S5ROcMfrw8FloywKqgkubjiEykbTVqw7OnJyegCcUnBl1jo8lHg3I0OL0iWVU\nXRuWpZO05ZgWaNZCzw9y3Tt5iafrWALDk99LhwU8sVwyOdakhiccKwFOaLUHmRIBINkvUCPVEpNB\nGfAUwKgDnKynZe9Dxa2LQg1PfuNRH/Wam5FMOLaFgLOlBoB+39cWtMogZXgkForJeW1WwA4UzciT\nLbX+/q7Gk+2L8aKcl2GaBoi2k8mEaXbN5NB29NAcx5ZMj6zD8wM9w6MJ0kwCD0uwLB9b0jb0jeyw\nSSrKJ8T5Pjy1qoNjh6OAp6zj2RtIJ3dGl5OozF2AMU0LuLk+apaYfi8dq+5oJG08+3/q6D5UKw5W\nr6xLr+FRwvNDBEGYkrRN81z/TgDVd714chmWZUn79RHyjItcjdphFIaHl/fXaup1guZ9ehZEhken\nSklqeMZneIIgRGtLzgQvls1HtwVlwFMAaZmY+aZzK7aelr1PUhdTUNLW96QWvY5M0jb0c7MtInSm\nBfKF3E4t4kUCLEvK8GTv70q8CFMWUhaUTRtEt6ak8ahZkSOxB8cOz0u/k52G54faXgm02MkDnvxa\nmmRsFHMZBKLGdEDatKA/8AtJ2njwva1I0gaUTm17BX1JbeUoUFlSAzzDo5G0KTaIvJOU61gZA4SR\nG49yyamKa+P54/tx9XZrx7PLTJUQP4u1yvTXbO5lhGGIlctrOLBvhtXv6OpoewM9Kz8Jlzb+vVKS\nNgOWhr1PEUkb1zicX9N4h1lTdHpDBEEo3U8lzUfLOp5Jogx4CiCPgVCBmJH52UrmfaguJrGlNq/h\nmZFkMRLTAqGGp4BNNJBkuEVHOdexMFuXBFoZSZt5gMV6rXjZgIkQTbYPsG++hiMHGqn3nuZC1sTZ\nTgxozcYPWVIfPTQ3tZI2HcPD7GQ1Lm06poXV4YzA8NDbbo0haQOS57Y/9OHHPa1qFQeH98/Cdeyy\nF88eQX/os+96nC7nKktqAEz+6UslbR4qrp1xYyNw8Q5cR83waBuPSiRtNH+SRI4kw6/vMMsjriG1\nqgPPD6T3rsT24+a9NlqdAavzAuK6qlElbQr5fhiGccCjn+t5iWfGtMAgaGHvkzEtyK/hyZgWjKC6\n0CWQSfFTMjyTRRnwFIBYF2MKGrQH98WuJtzDsdmJggiyl2ZF7QY1PPWapDhVyvB4hWyi+deJunaZ\n8xAQmxaM2IcHkvVd3NTfWdvCequPMzGVnrrGKQoARCSmFEINj+GinUja5jlJ2/R8Xs8PWSG2DLqg\n1DNgWmhsFHUZBPL78OgWVP45Yc/tIM2UOo6NJw428Pa9zamyCi9RHNSYmb7rsSRtgkyZRx7Do5uf\n7VTNgp1pYqrbYNKcKRum/aEP10my3C9OSR1P8sxHa0h1FzD6exk0Hs6c4gKeqjtx0wLmvJZTw5Ni\neJzRGZ5IHlqwD4/A8IyyBxH3BjxI8dMqGZ6Jogx4CqCf4yKmAmm6D+6fyRwrBhEsa6dheIIgRG/g\nZ3rwAEnj0Z5wraNK2vhrbXb6Ur0pEGUuvUDC8JhI2iS/Exc1Ntny2aUpDABEiFkc27bg2JaxacGN\nu20c2DeDmZrL5FzTFOD5QcCsdmUYt4ZH5UxlApK0iaYFJoEWLxel53bA2bvTdRw9PI9u38eDhz3j\n6yoxfaDGzEuLddi2NRbD0xKcN3nQ/M47WhKoNkwFXtLmOJaU4bEtNWNq25ZS0sYnpp47vh+Obe18\nwCOsWTq2uMT2g7WEOLHEflerjs7wJAY+6eNpPOvMbADBtEDoeSWT+xPERJfjpBke/bEJKyW2/igK\nUf3BY6FkeLYFZcBTAPygLqIlpmwhC3iG6iDCxLaYghlVDQ+QlvH0BiO4tLFsmseuZ6vnSbMRQJbh\nKVJkLmOMxA0yC3hOprNLstdOE1qdASwLmON89iuubRTwdLpDrLd6OHYoqhWZxgXf88PURkyESeNR\nnaRNHBuFJG0WmRbwjUc9o/Py59k3X0PFtaMmssN01pk5tZXGBbsaPIO4MFsds4ZHLVXRurQVYHgc\nrjs8b0tdq2aNbNjxliLgGabPW6+5OHV0EW/dfJiqq3zUEJMLu8GkZi9j5fIa5merzKwFSKzCZQy3\nyNCJ4OtheJgkwgDRtMBO1Xdqm4cKNacZW2rNM8i7rI5a4kBoasxNyOGxWQY8E0UZ8BRAaoAX2HTS\nwD60P92oSxZEmNTw0HXIGR5JofYIjUfFGh4qYFUFPBXHTtfwjGBawEOUQK1cWUOj7uL4kQX2u90g\naWt1+pibqaayUaYBz9v3E8MCQN4MdqdBjUdVkNWCEcxc2tL/X4jhcfIkbWYBz0KjyhZ20X3wWGxc\ncLM0LtjV4JskzjeqY0namkKrAR4k0/ElkrbewNdml1MZbduCLTR87g897UbPti340o1p9rgzJw/A\nD0K8cX1D+X7bDTFpthvm+72KextbuL/RxZmTS6mAWpfQMpa0+WLAE5vZ5NpSJ38vJmkTGR7BlnoE\nSdsoZho6c5OS4dkelAFPAYyq2aRBKwY8sgFvYltMWTed/ajYXb5w41Ehm0Z6U9nDCVD/H66Gp4CE\nLo/hWW/1cPtBBy+cWJZOTNO8ALY6WZ/9imsb9Q4i96+jFPBM4YLv+TmNRzW6e8+glsYSBI+6DaEI\nksNlTQvy3eH452ShUUM9lm6Iz1FiTV0aF+xm8Mzd4lwV7e5w5OL4xHlTxvDIbalZz5mcgCV5n2js\nulzD5zyGyLHVLm3icSRb2klZm5ikY4z+FDHc7xSsShQWAKc6kKxJpqYFYvLPpD8bkDbxGNe0wJTh\n4RU4o9Z0E3RMMKvhGSPxUiKLMuApgFEHeFMhaZMNeBOGh4KZGZlbmkTSxjM8pi5tYuZG93ACsS21\nxHrbZIOaV8OzwpqdLaVeI8rupg1BEGIzrtHi4bqOEcNDAQ9J2qatZikMw9wGcTorbcrs6RgiUS1X\nzKUtel/+XqcYHkNJ2+JclfUAEbPOjx+cg2WVkrbdDt4CeaFRRRgC7e4w5yg52Fw5K3Npk5sWsJ4z\nOkkblxiiZ8ZxbGZx3xvkBEw6SZtw3Asndt64QEwuTGPC550CvuEoD11Ci76nqpLhiX4/sqQtZUvt\nsDEsBjDZ8wq21Fa6hkd1vfyxkzAt0O2pKq6N2bo7Vi1hiSzKgKcA+gOfLTSjMDyiaQGZGSxKAh6d\naQExPDPSGh4q1B6ya+0NvNEbj2quNXXe2CyBtLzFGJ7k37L7q8wu1aZ7AWx3hwjCLCtWcWzt90sg\n1oBYBJ08bCfAN25TIRlHEpc2LwqWVDUHgKSGp5BpQfpY17GMbanrGUmbG9fCCVnnioPDS7O4ebdk\neHYz+PmKsquj9sBotgeYm6lImU/aWInskcl86UgZHgseMTzD/Bog0Zaa3OlEtcBCo4onH5vHhWsb\nxgYrk4YoH53GGsZ3ClavrKFedXDqicXU73V1tHk267TWi5I2ZiqTJ2nj/u46VmacqMDP+7aV7sNT\nrTiZdUN27ND3mbshMHmGB4ialZeStsmiDHgKoD/02eAs0vuF+tcsNmqwLD1rQgGLzraEXsPdAAAg\nAElEQVSYgheZLTXrqB0mtCgvaTOv4REZHrXzEJDNXLLsTk6WBkhvatk18wzPlTVUXRvPHNuXOm7a\nG4+qbCejGp78a75xdxPzsxV2PH3eaWm+R4yeCcOjMi3Iy+KJS08RhkdcuBYaNfRilzbLyv6dh+vY\noD8vNKrMjUiWODh6aB4P2/0db9RYYnTw3+u4PTA2JTJWgqswLTAxlbGFGh4gMYvxg6h3iY5Rl7m0\nDRiLkj3uzMllDIY+Lr39UPme24nkO4mubTf0XduLaLb7uHG3jeefWsoE8TrWLapJM5OH8TCWtCkY\nnrw1gl+vyMmT9k15CTU6ttvz4qah0X5llDHZbPdRcW1pLTYQrTutTr9seTBBlAFPAfQHHmbrlShT\nXLAPz0KjCtu24m7R0cPRlAQRUbZBb1tMRdiyB8V2+OAhWnTTkrZiNTzEJuma6QFZbToVwuqy9wT+\nJY0ZF7Ztsettd4e4eruFZ4/vz9R66ORS0wBVBsc1MC0Yej7urHVw9NB80ndoyjKclKV2NJI0XZ3V\n0PfzA55xXNoyAU8Vg6GPgRegYsAs0bkWGzXUKg6CIGRmIPx1HI0lhzdK44Jdi5RLW2N0h6QgCNHa\nGigTQ4zhEQIPU5MXhwt0gLgdgB8mgUtBSVtPsy5QC4DVHZK1ZRqPlpK2HcHqFbnCAsg3LTDph6MK\nePLWBlXjUVnwLjsv/x70u7z1hV5Hcle2xxpR0qbqawgA840qPD9Mme6UGA9lwFMA/VgjTY5Npmhx\n1tN1rlFXS+Hmk+filQQ8atMCIP0wUp2LTp/KgzLcGTYqJ3Pp+4m8wpRN4gvTa1U3dX9fv7KGMEz3\n32GvnfIFUMWKRY52+oDn1v0OghAZC1BgelzaiM3TMjwaVsqI4RHWgmpO920eWYYnGrud7jD3vECy\ncBLDAyTPAb+o0nd0o5S17VrwCaGFOSoYLh7wdHrDOPNbkOExlADTmCa5DzE8JgGTTNKmO+4Ma0C6\nrr2m7YKYpJu2hM87BfT9y9bgPNMCM8czoQ+PgZkNIDI8NpPXmQYtAJdAiJkeU4YnE/CMJGnrK+cJ\nAIwlLut4Jgdzy6NdhvsbXfz7P17Ff/9fvah0Fvv8K1fxZ6+9rX0f17Hxdz/yAk49scg00rpmWxub\nPXz8M6v46Y+8gOXFGQy9AJ2eh1PxwK5yxyoZACcpav+Pn7+AZ5/cj/e8cJj9PXFpU9fwAMBs3YXr\n2NFkZCHVTTsPlOGma9V1BQZ4hofrCWEYXPGb2uT+Rp9R1n+HUBdce/7gq5cwN1PFh95zDADw2hv3\n8LtfflPaXdyxLfztH3kezx9PGyG8/J1bePt+G3/zv3jW6NoB4HNnr8KyLPzw+46nfq/6fiuujSCM\ngkOVwxkVwZPtMTD6gu8HIT7+mRW854XD+K5nDkpf89bNh/j3f/S6NBCzLOCjHzyF7z39GADgq6+9\njQfNLv7aXzkKwCzgoQz0X3znFm4/6OAnP/SMYcCTLibVydBE8AuibVtozFQAAO2tYe5iCkT3u1px\nUK+57N7T4sMvqtSL56bEuOC1N+7h3KUH+LsffiGX7fy9L7+JffN1Nn5FNNt9/Ns/OI+f/shpHNg3\nk3v9047Pnb0Kzw/wY99/EkA0Br/wl9fwMz/xUu489flXrqE38PDRD56ayLX0OWlXYzYaJ7//5bfw\n59/Krg8vnFjC3/mRFwAAV2418fHPrrJNGo1z5TxpUw1PiNsPOvjtL13Ez/zES8YMj80YnqRRdX8Y\nGvU9I0nbg4dd/IfPvY7/4aMvaaXOB/bN4PDSLFavrCEIwtSz1x/6+PVPncNHP3gqlZQxwdDz8W8+\ndR4/9n0nUm0GRIimBaPWMLa7Q/zGp8/hp374BVZHq8LqlTX82Wtv42d+4iVtbeKo+M0/WsUb1+RW\n3/vma/j5//a7U0nJMAzx/31mFd97+jBeOnVg4tdz7U4Ln/rKJfyPf+NdyrG3cmUNrmPh2eP7M3/T\nGQf1Bz6W5uvKc1PQPvQiSeZvfPocfvB7jjE5f5E+PHzj0SKSNvqOyeK9Lkkii+d0HQvtrSjgob1l\n3pjcaPXw8c+u4u/96GksLdQxGPro9n0sKphgIO3UduRAQ/v+24Fmu49f+e1vYavnwbYs/Df/5bPb\nMgZFbPWG+I1Pn8dHP3hKOz+Mgj0b8Pzx2Sv48jdu4l1PH8APvfe49DW/++W3cPtBJ/e9nnxsHk8e\nnkcYRpNureoqs+xffPU6/uTrN/D00X348R84melfU6s4LHhQWT1X3KiovdUZ4D/95zfwrqcPpAKe\nLjUe1dTwROdymZ0unbsIahUJG6Wq4SGGJy6g7Q18pY5dBL8RrFed6Jrj81Lh/qmj+zLHiXKp3/yj\n17G0kGwYP//KNXz7zQfK8z623MgEPL/zJ2/izRsP8dEPnjJmw37rcxdgWcgEPLQ5ltlSA9FErwx4\nYrbg6CGO4RnRhvvNGxv41J9ewt31LWXA85Vv3MQ337infI+K67CA55Nfuojrd1r4vnc9DkAvaXMc\nOwm6AfzOly7irZtNfPSDp+D5AWYlToM8bCEYLoJ092yHLYid3hBLC+qFmPDdzx1Ce4sYnTjgiVm7\nVMBzWC1p+4OvXsbXX7+Lj3zghDZIaW8N8PHPruLxA3PKgOeV83fw5W/cxKGlWbbh3q3w/QD/7g/P\nw7ZtFvD851eu4Y/PXsVf+yvH8ILgyMijP/Tx658+BwCTC3g4NuHEkQXMz1Zxe62D22vZ9eHcpQf4\n2F9/Ho5t4avfehvfvJB+bmzbwounsgkaIKlL8PwAX/nGDXzh1et4zwuH0ahX4vPrnwea312B4dHJ\nnNl1WVHrgK9+62186Ws38K6nD+KJgw32uWU4dXQRL3/nNh62+6ln5vylB/j8K9cwN1PBf/djZ7TX\nLGL1yjo+d/YqqhUbP/PRl5SvE+uaRq3Z/PrqHXzpazfw5OF5/Nc/+Iz2tZ/84kV848I9/PW/ehwn\nhQL9cTH0Avz2l97UvuYjHziRSu7dXuvg97/yFu6ud7Zls/mpr1zCF792Hd//7sfxPc8flr7m5t1N\nHDs8L51/VWuSic16hXsWrtxq4jN/fgW9vo/3njmc+rsKYm8717Hx3JP78cJT6rkDiPYbbqyy4BPE\nzz+1ZPSdV1wbnV6a4RnkjMn//Oo1/MnXb+DZY/vwo9+f3RfKsDiGtHYS+Ivv3MIr5++w/9+/UHsk\nAc9XvnkTX3j1OhYa1cJzSx72bMCzeiWiYXWyhFZngCcfm8e/+oUflP793sYWfuaffhGtziClda5V\nHLQUDj7ESNB5xaCmVnXYe9Fr5mclNR5+wI4VP0OvHx0/mxfwVB1mpwvL3JKaP56/1tm6q5yEEqlG\n4tJWdIPKrrnisAxKqzOAbVuYi7PzqdcyuZSH3sBDf+Cn7hX9+/f+xY+n7svDdh9/7x99Xjo2aHLZ\n3BpgeTE/ix4EIVqdPizLQhiGqeBNzeAlxhSqbfdNxvAkAQ/JuYrWLK0KY1IGkt/9+v/+Q6xfFACE\nAH7yf/sMNrljm+0+gjC6j0BiWKECH3Tz93fo6S2tAUib3JmCZ3gi5jAa/0EQ5joAAcDf/8nvypyb\nSdq4a5mbrWLffA03JL146L62OgNtwLN6dR1haPYdre6QxGiSuHyriW7fB+Aza/Mmu1d6d7TX3rjH\nNli9gVeoN5MK/OZ6/0Idv/V//IiUGf7nv/k1nD13G+2tARbnEhelX/0HP5hKTqiYSHpW/CBkz0Kr\nM2DzU54MmMY0Y3jsqOEzW2c0GyjbtjD0wtS6srwYzUCquXqRk/fxAQ8lc0aR/bUMjxUNQsS6UlPw\n91kHPwjx+lXaN0y+/wm95/d/1+P4B3/nPam/ffrPLuHf/eFK5hpN79WoWLmiXxvIqEWlklFJlj0/\niGzWcxhHy4oCQf5zks163trAP2M0n/+f//MPGNUNV1wLnp9+j3/+97/f6FjXseO5K0owVFw717SA\n5uxkX6gvEQC45qM7JGmjvez/9b98EP/rL//ZI3OMO/ud2wC2Z8zvyRqewdDHxbhDtOqmeX6ATneI\nxUYtojMl//GTPS85UEnaZBOmuOmtVRwMhn68UR6gIQkiyLa4xSbq9ORL2TwZw8ObFrB6o6HH6o+K\noMYxLa1OX0u/JlKNIMruDHzjACu7MU1L6cjwQXZ9QDQp06TQ6Q6ZLKvV6WNupoKKa6e+V10X482O\nPMhUodOLrKf9IEz1PqLzA8jcN5NeSzfvtlGrOjjIbZJt20K1opZTqrByOX8Rp8+7by79PDjx/aK/\nh2HI/r3e6gHQMzwABc5e6jytzqBwDY9pTRghE/xzm7o8ByARdGxSw5O+lmOH5nF/Yyuz8KmeYREU\nlLa7g0xBu/heb1xb3zGr4EmBrwuhbGfLcGN69tzt5NjOaL1yRIg1NJaVvybwP/fN11OvU4E3d+ED\nD9MaHj7QAQDXjVibpMZSPUfbVuTeyY/JvPMuKhogmn5XMohrowp8M1j+GovOf6bXeu12i83h27HZ\nUs2xsnElHrMd10MNvXXvT4ku1dqvagZrItG0LAsVJ6pXpjHR7PRZ0/UiDA/N5yYBCxCVDQDptcv0\nWP66TGq6fT/g9oXp9UClmAGgHBOPAmEYYuXyGvbN1fD00X2ouvYjuY7NrQG+cylS5ZQBjyHevPGQ\nbQhUBV/0IOsoxXrVQcW10Wz3mUaVBrjnh5l6h6u3mmzCZFkloX8NbdoGnp8yM+BBtsX8wsBbE7KA\nR7JI8RRtnWN4RmFcavHmmja5unvFF+MO4ntvGmClaniqLmoVl+l6deflTQv4h4O+26biWNex0Zip\nsIwygXS1gHkPDv514vupnO3yAp4gCHHzfhtPHJzLbJ6KGmYEQchcdnTFj83OAFXXln5nC40q+2yd\nnsc25BTw5GXi6JqJhYuupR8HPPoxMhbDY2cDaYKJaQEPSi4Qsytey9HDcwjDyGyCB93zvMJTauwX\nhmAyOhE0xgdegLdu7IxV8KSwcjmRmraEe6STcHh+gL9cSWQW4jM3KkxraJiDGydLti1IGWgZ+HmS\nZXs7ffMaHoHhcWw79V66OZpqePhNdN55k88rbsTTsuwiSNZG/bEZ04IRTWqS7yrvGUzG5HYUitM4\nl31HSRJOWEMoKN6G6+Gbyqq+R1a7q2AiVJI20wCeDJp4Fs648aggaSsCev0odVout2bl1XQDwJVb\nLbZno8+pkrvzUI2JR4G761tYa/Zw+uQSLMuK9wDbH/C8unKHOUmO2gdNhz0Z8PAPsipKzHMdA6LN\n1mKc3eYnX8o4ibpNooeBZNMtRvL8BNHqDKTnp0mArtHz0+wBZZFlem2+a32tEl1r1DDRG4nhGQx9\ndHoePD/EvGYx5e1WTRdvgpjFp+vs9oZoxyyc/JxxfcjQT218mnGA2OoMlFT8IsdaEGRyuDzojml1\nBqzonQfrMK1waru3sYXB0Gd2xzzyJlcR1+9uMkeZ9paePViYq0mzXItzVWz1vFQmDijG8PSH6aCU\njs2TlomGFkXAL2b1qptKEBRdIJMaHjnDI7OmHno+W+h046k38FIBTN6cBaTnmt2GMAyZ5BhIPtcm\nt+lR4fylB+h0k6bKk8oCmm7QxB49rc4A8woGWgaq2fN9IfAwZXiEGh7XiQxQHm7qTWWAxJaal1sn\n65qcjacN2SSZB9NjaX2tCpK20RmePJY1OyYnCR0Ll3uftwYZS/FxsVpgn6SSSqrqqkz3ABXXSe11\nWnEiLPpbsT48RZAEPMW3wPyaJdYcy8DP1Srljww6Jcp2g1mRx858C3M1pn7ZThB77zpWyfCYggaY\nbakzgEkPHH1h/ULc7ZYv/Ff1f6EJ07a4rJJE0gYAG5t9eL7cvrTCani4ugnuc3R7mj48EhmPH4TS\nbtp5oMDuwcMuAH02gs9cmjgG8bAkkjYAeNCMNsW674gYrHTg0Uenq7eHJZkWv4ik2BrDjBr/OjEL\n12rLbSfzGB4yapC5H0WTq7mGnYJ/krMo2QPFtQJptxj+M260zGp4iOHhv6O1+Lst0lyuaMAjexYI\nhQMeIZMp1o2QU9sNzqmN/7w6JuLi9Q34QcgMGnTZVnrNyg71RpkEbt5ro9UZJJ+302f9awB9Zu/l\neEF8/0uPA8hnCUwhaygrg9ijp9nWM98iqGFoxMpwkjbFuBKRuLSRaUH0/5RAUCV46NggDAtJ6ZI6\nAjnzMErW1/TY3sBDxbWTppAjurQlTJr6fGEYYuXKWmpMThq6PQfNseLYp2sOgpAVyk8K/OdVbS7z\n+u+pmsHqmqPzcF07Je/s9DyWJMpLhommBUXAAp6cZJ3uWIDWFVdbV8uvwQmLLZe786DAeCdsqUly\nfDo20FhoVNHt+7nmDOOg2/fw2hv3cOzwPJ44OLctjNKeC3j8IMTrV9bxxMEG9s3XDDIX6gEH0Bft\nsSJ6fuPET7ykeVxaqOPwciOTxSImhybtextb7P1FuI6NMIwsrsXrBaLJxLYt6UPOZyxEGU9eQy4R\n9DmTa82v4fG84gxP6pzc/dXdI/4axc10sz3IzaAsztVSjSSBSTA8WZ276vsFsv0HCMQSHDuUDXhq\nOdkkEYmt94HM9RKoMFUXHNKxMpYmb9GoV134QcheDwBrzSiILlTDk7N4iuADnqooaTO0ZyeIY1nc\nIFJwepPrxWM6nlYu5X9H9PulhTqOLDfw+pU1JVs37TgvGZPUv4b+X4YgCPGX529jfraK9790RPva\nojANOPjg3w9CtLvqJqMySBmedt844KIx7QpMz4YJwyOVtOmTU3m1JXzNpCnoWJK5qtAfpHu5jSpp\nM6kZuvWgg4eb/dxncBzo1iRVNp9fUyZ5TdTQ+4UTy7At3ZyjrzVR9eExZnictJoF4KTSRWypC87n\n40jaUgFPxWUKhlDichKx2Ws4sFjHoaXZ7L5Q87w26i4c29oRSdvK5QeYqbk48XjkWvco2KZvXriH\ngRfgAy8dwUKjNtLckoc9F/BcudVEt+/hzMkDETujyACaDDggCVTux5tvGuBAmsa99aCDh+0+Xjy5\nzORSfIG3yPDcX4/eTxZw0QNFWXAgzR50+x5mqo5UfpQu1HZTE84okrb0tRowPEFgLM8gyEwL+PPq\nZIfUs4fPjLU6g8QFJWcTz2cR0v82m2T4yYjPxDB3mxEYHgp4jh6WSNoq6slVBCs8nK/h+af2x9eb\nnbCSOjO1/I9ex99n4xoe4fsEkrGdL2kbneFJBf/jmhZwY9mxs/2slhfrmKm5KYYnNSY1WTpipN/3\nYmT7rcpsUc3fmZPL6PQ8XL/TKvQZpgUkpaGgpSmMK9UCf/H6BtZbfbzvxcewfz7Ofk5M0mbGStNc\n1GoP0N4aIAzz1xAeTIq3NWCOliNJ2oQN27oBG25bFjw/YBLXZtu8hkecN/i5brPgd2CaCBDrTl0n\nKvAvKmmja9VtoCgxRM/gdtTMqNpQAFHgUHXtzHhOqTwmWNNADb1fPLWMudmq8r1Z3ZGqhqeiMC0w\nfJ5cNxvwsLXBMOAhc50iYLbuo9TwONl1JYhVNCJu3muj2R7gzMkDWGzU0Or0o31hzv4EwCOtneGx\nsdnD2/c7eOHEErs/i3NyBnKSePncLQDRukDjrejckoc9F/CssuzhEhYa1bj+JDvJmRSNAcmAvLcR\nZaTTDE+SnaIJ8/TJZSw0avCDEJ1eshGnDAllRO7HMjGd5GmdD3i4TUBv4Cmz3TJbavb/I5gWAMln\n1z2cSeYyMM6WMqRMC5L7q7tH/DVmJG3tfm5mSmb5OEo2TbV4JxOaOqDVSdps28LjB+QBTxjqHd4I\nd9e3sN7q4cyJ5VRmOvsZ9IWpeQyPiWkBkIwjIBnbeYHHZG2pxzAt4May7Dosy8LRQ3O4db8Nn7kE\n5m/sPD/AhWsbePKxeWZrLPuOyFBjoVHFmZNRn4ndKmtbubKGhUYVp+NeO61O3+heJXK2IxPPOPYH\nvjSQFSF7FooEPOT+xrOdTZ5pMW08KjA865s9NOJG07pj+U1ZuzvAVl+/MU0SQ3KXNvHfJjCdZ0Vn\nUcuyCpu2+EGYkvGqNlD0LL3rmYNozFS2JauuGy+0uRXvx+YY91kHxvyfWJaeVzxnnqRtZIbHteH5\nfup+r7NkmFnwX3Qu548ZqYYnxfA40gQ4gdXCnFzCfKMKzw/R7XvsvurqogFov5vtAtVXUv0OXQew\nfQzP0PPx9dfv4tDSLE4+sbht59tzAQ/JJU7HDzKgyGob2AICSWRLm2++gSGv20ykQ8tcAWK0kPP9\na+jhoM2fLOCiArwHzWSD2BQZHlXA46g3eSMzPKyGR32vXGa3OoJpQeqcLttcsnuk+Y6ox4u4ADPJ\nonITTxlieRbeNMOncmljGl2FKQUgNy0IwxA37m7iyPKsdCKnQNekF8/5SxSEL7HrkOmBKYOkYvAW\n5rganpR0MK7hMTAtAJJxBCRjO78wlXufMRuP8oXZeYupCP7cqlq4Y4fn4fkh7sRMlkkNz6WbD9Ef\n+GzjAcjHHi+NJV31+V0Y8Nxb38L9jS5On1jCvvlELiVKUkWEYYiz525hpubgu545OPGMY8/Qtl8W\n8OjmRRlcx05dN5+wyWd4ErMCIBnjzXZfa0kNpBMAQOQISNl0VXKq4jqYqbmp74ekfIQi9S686gHQ\nz7O9gZ+RYdc5i3sTtLcG4JWfqmz5yuU1zM1U8OTheSxuU1Y9L3hYmMsqUpoKBcG4WLm8Btu28PxT\nS1icq2FTYWiTV2uiCnhYDY+hSxs/JozXBgp4CsrZ+Pc2NRuRHQukk8qy2trzXCKcN6ZodfpozFRy\nEyyLc9sj7dKB38uy69jmJqjffvMBtnoe3v/ikdgsLLs/mwT2VMDD6yUPL81qfcxbBRmeRNImj+j5\nCZPfuIj9axh7oamLoQeKdNniZ+j2fSXDoyvULmpawDaqBrU0Ls/wGNLZ0mvmJW0mNTzVyCJczJjm\nFVvKXHF09TgqqI9Xn1/H8DTbA7S7w1QTQx5FdOyUXXrx5IGc4N9c/sdPQKSqc0wlbRuJpI3Gdn4N\nz4QYHkHeOappAaCuhROd2lKGFsqNVpxNO7mcyKVyvqMjyw0sLdSwennNSNo4TVi5ktTv8POkmNAR\n69uu3m7hztoW3vPCY6hWHMzNVmFpag+Koj/0jebHejWSNDc7fY69N2d4gChBIH5tZAyTN8YTW+p0\n4GMirZNt7vh1TYXFuWrq+yEpH6HId7AVO34mx8rn2TAMI0mbcD+KulTqamIIa80u7q5v4fSJZdan\njSTpk0SrM9CycAuNauSoyn2+UdakPPSHPt66+RCnnljETM3FQqOqtMNnTMSs3Ha96tqwLJmkzdyW\n2vPDFJNlujbYYzE82T485sfKpdKyNXn18hrmZ6s4dmg+ZUzR7Ay0JQIEYoAmLe3SYeXyGiqujWef\n3Md+p1OITAJnOfY+Ol/J8OTi7fuRXvL0yWVGEQMqGQ89yPpBR8GKXNIWDfAHD8UJMxnYYuG6yPCo\nbKmBqEh3tu6mrtcPQgyGPmYUGblsHx5OijOupE0THLKGeiPYUqfOmTItyGeWaPN5f6PLWC+eiVAd\nK3ug6N+zddf4QWt1Bqi4dsZGMcnISwJaRx3wUA2IzKEN4K1Z87OcK5fXMFt3cfzIAtdAUMN2qiy8\n57KZeBqXQFJArYL4fc7WXVagblJsSnHLTvbhMamFo++MAh66rzSeZBuoRPJgxkgvxtbhp08sY2Oz\nj9trncxrpxkrnOSYZw/4ewVk74G4IDq2hbmZyck9+hI2QQWq0UyMb4oFPPwcTZ+XrS+5krboJ7Gq\n/POTF/DwcufMeTXPlhgAiHNAke/A9FjPDxEEYTbgKShpMzkfPyaBxNCm0zNnksyuRc/C0RxNm9uh\nF2Cr5410n3W4eG0Dnh+yDH5eMmx+tqJMaiUyw/S9SvYAOS5t8fsGYfIdsbUhr/GoZRm9TobxTAuy\nfXiAbNB3b2ML92I227atFEsi7gtVEG3wtxud7hBXbzXx7JP7U59Tl4wbF34Q4i9Xbse1xvQMlgFP\nLkQqTtU0DYhu5EzNYR7/KtB7kGNaaoDHD7U4YdIxd9a3IutpLlBIbKnVRab8IkZOXZRZ72t68ABC\nDU/FMdqoqUCvT65VJ2njGZ5ipgUqW2rdPZJdIxWO80XQuayFRJL2xME54wwfZWoWGlVBEqc+v6th\neG6SYYGkBw9gzvBstHq49aCDF56KCg9VWvzoWg0ZnnZkS+06Fh5barC/5zM80Vjd2OzBsoDHDyaf\nzSTwoPFR1GUwU882IdMC1aaUvjOyFSeW8dih+WgD1U3bygZBZCpxaGkWB/bNoF51Ua040u9INOGg\nOY4c3nYLVi6vYabm4CTn/tPkEhTHWB1TNuCpuDa+5/lD7HfRRnxyWW/T+WqhETEeic1wUUlbMi7p\n8/Lriw4ULLGf3HvlOY7yjGeR8y40avD8IGmeGM9tbG0qILWie5asa/Jj+TYQPIozPPnXysuOALUV\n9zgwad69MJdek8Rrn9Tmj5f9AzkBj4Htuuw7KcLwEERX0jypmu2MLmlLTAtGOVa+rohr8qpiP3r7\nQQdBEBpJYWXS++3E61fXEYRg9ZXJdajl1mOf88oamu0B3vfiEbZm6/bu42BvBjzxg6zLajdjx6M8\n0I2nvS/5rgPJQ00yDZowKTqlTG+a4XFT76eTtAHA4eXZFHtAi069Jp9IMi5tY5kWJNfq2BYadfWG\nkyYOvobHVEKXai7JTSDJPVJPuHSOMIwyc4tz6eyrzpYayDI8czMVLC3UmelEHjbjrN1C7MDCv5fq\n/DpJ2w1NDx4AymySiJUrwmRrKJeSgVjQFpeZ4qWguTU83Pc5N1NlDluAWcM4eveJMjxFbakNauGO\nLDfgOhZuxiwdZWqfiAMh8d7fiJvCnuEWFxq/IhI2Ibp3LODZRQ1Im+0+bt5r47njSyxIps9Lmzxy\nJuQX1lv327h6u4V3P3sQs/VEWrPQqGKzM5mGjBHDYxrw1DAY+rhvYOYiA58goPQuOPMAACAASURB\nVM8bhtEmLC95wGypR2B4+OeBPy+Qz/AAyRikn+y7KrAZyx6rCHgUdtn1qouhFxhbspucb/XyGqoV\nB6eeiCQ82yGnISlfkUaTpveqKFZZwJMwWtH7p79H6o2Vt0+SsW5FTAsIoiupaePRcUwLRqvhERke\neX+olSuJXBlI7rNsX6jCo24+ysvgH9V1MPb+xSPc+bZHQre3Ap4r65ifrbDNoipTY5JtIYgyrnrV\nRa2WLlJbvbyGWjU7YVKmN1XDI9jbyoII/gFenKul2AMKeExNC1J9DExd02Lwxy40qlIbbAItwL4f\ncD0lzM7HvytvCgEgl4XjJ9QFYlo6kUub69jK+ySVtMXZLNMMH++cRY6AFMTojACoYN6T9OG5kcfw\nKJreihDZTmIPZJ8przC14tpoxLIsShTwi2DeJo0Pzvn7S++dh4ThKWpLnTYt4Auzt0PS5jg2jhyY\nw427bTbHNGYqiYWykK3i61kIxB6IEJsWPvnYAhozlVR3+GlHspjy7j81DL2ASatERhtIFsQPvJQs\niEAULAUhmM3yqPD9AJ4fmDM8c+n5XSf1lUHG8ABmCaJM41FujOfVo/KbO/68rqN3pxPnSp65BIpl\nfVsZdkg+x6o2zNVKeu3NAz1LybWmz7e5NcC1O5t4/vh+NieomoCOA5NGk2JhON3Xw/sjA5tJXI/v\nB7hwbR3HDs+zDbgqm069sUwYHnE9Mm0+zpvHiHWreXM0JVnHc2kbt4bH5Uys0mNy5fIa6lUHJ59I\n97Jh84aJpE1jNrQdWLkcNaOlNhaEhVm1QmQchGGIl8/dRqPu4qWnk3WQSdpKhkeO+xtd3OPqaAB1\nVjsqig2MKEWxxoeXifUHPpswn3syO2FKGZ5KfhDBZ58juVTCHvT6estnO1PDM76kTfwMMtAC7I0t\naUuzUvN52aWquJmuRU5Za1vaIG2mFhWP0n2lbBYFmEB+NoPPutNY2tyi7Jxa7sIkbTLf/rubWF6s\npzLZqc9bkWeTRKxeXkfFtfHMMb7wUM8eqApTo2NrWGv2sNXzsgxPjiyAH/OLc9XUom+yWNGaVNR0\nI2PgMakaHk3gdezwHLp9D+utHprtPhYbVWUGVZTCAtFYGgyzDRlFFs6xLbzw1BJur3VYE9dph9i9\nG0g+z427m6i4Ng4tzQJIP3tnz9+GbVv43tOPpd5vUlnAovMVf838/5uCl9HwTK7J+Z0xGB5+Kkyd\nNyeRIDri0f0+qmAudaDXPn5wTms6Qd+JaM5jynCL56PPK57vdSELD2xPNjuPRY/+lh7PfB3oomLu\nLopLbzfRG/hGn9fkmoFo0z8JSVu07nG1ocamBcVrhWmPNY5pQcW14diWdEw2233cuLuJ548vsWc0\nO2+YK4weBcMzGPq4eP0hTjyxmNl/OI6NuZnKxK/jrZsP8eBhF9975rHUWChNC3LAZGUS73BRJ2z6\nIAPRgjI3k3z5KRvCoZ/RaQLZgiuZaUH0OvmAd4UvnmcPujk1PHz2sDpuDU8l/1rF845kS52RtCWf\nLa8gWMbwANG912U8WVMvakrHZbNMM3ysTmguOS/9rtkewLLkQUQiaUsvElu9IR40exktc+rzGiz4\n7e4QV25nCw8X5+R2q822vjAViD4jBXMiS5O3aGSD0mIMDw2QcfvwVLlzFQ14HMdmC5fuOui7u35n\nk7HIsnmINYWdq+EJrqZJpZWWNQCkOWe3sDwrlx/AdSw8+2SSPeSfVz6QpudyrdnFG9c2oobOwhw0\nqexn0fmKl0rXBObQBDRXOraFw8uz7Pcm52cubZIaniK21DyDnNtsVZRaxfd7ed8MZmrymjMV6Lva\nv1CLN1DFGJ4iLpVAkpGmzyte63lBBg9w42qSAY+BK+yCkNXmWV1RMj0qEtl/OsnCn4+ga5TKgyRt\nfM3rKJK27NpgZuAxCsNDe6y8ZJ0MrMVI/NlkY5J62aSSO4KMPo+RjV4TH7ONDT8JF69vwPOD1F42\nfS3ViTMuKvaeDG1KW2oFKPB48VRaLgFkM4BFAh7xdSLDI+o0AWIPeKlB1pZad/7UJMAxDptbA07S\npq/hqbo2bC77IJ7bBGmmJc8BKDYtCMZkeIRMvAmdnry2lrrXecfy9RL8mCjK8MiOoXogWRBB2SVP\nqOEhqlvUMvMwWfAvXF2PumgLE9fCbBX9QZY92DSQd/J/51kwID8TJwbOqWMNammIqCk6fm3bSjm8\nWVbyPJicVwQdq7uOo3Em+eL1DfhBmBqT/Hi6u76FtWYPp08upca/ipWWuUq+uIvqeLZ6Q1x+u4ln\nju1XzoGLnFSS5uxXFAsif+y4WcBRGR7x36ZwuIzvPn5tMJG0EbNDG7YRanhmag6WFuvJeXOkx6JT\nVHreq43E8OQdyzbMEltqoDjDsxQb2ojnW728Bse28NxxeRA+KbQESaoMqhoeWl+6fR+DAoYNMiSs\nclpGy58vuWZThif6Tgbcemb6TInJXQq+bCtfbib2pCoCVsMzAsMjJr5kY1Im323U3dRnmrYaHiax\nPiEPeBYaNbS2JlMzSTh77jaqFQff/dyhzN9UipRxsGcCnpUrUR0N6SWBaFDP1t1MBrBowMNvoquV\nJKPXG/jSCTNiD+Qbbz4bqAx4hEWMlxT0mGmB3paaHsK8DvE6pDaqOfcqaaYZGut3CbTfs6woUKsb\nsGDsGrnPtzhXzWygdIgWkajnB+/qZprh4+t02KagnUjaVJR1ImkTAx69JTWQyLp0GvYVwXWIINt4\nmxamLgrjmc8m50rahACW/04L1fAUHL9AktWm54Du3yhZwbrkmRJxLM4kU+Z4UcL+AZwdtbC4JGxQ\ntgHhnNCo7tTRfahWHPZ9TzMuXNtAECKTPRQTFGIdw9nzUcDzPmnAMxlJW68owzPHzzHFA54KM2yo\nsX5Cpuen8SyTtOW6tDEHpBrrJwSYMDxpxpufK4klN+1Zw9ey6Ewn2Boi3JO6okBchVa7z9ZssZ9Q\nr+/hrZsP8fTRfan1dNJNbaP3SuRpKohMC8+wTMIWOAhCrF5Zx6H9Mzi4f4b9XmSWxGvOYyLoO6K9\nCQDOuEgfTFeE8UuJVddApjZWHx5JDZzxsfH5xPVAbETvOhaezewLiyVLVOvBdoCUAqeVAU81tmsf\nr2aScOPuJm7ea+N7nj8kHSf0vE6yH9aeCHhanQGux4WHYrS/KMki8T0tTECDrlpxUqxJs9NPJkzh\nC0sNbN6W2oC94B92sjymz9nNreGhzWH093Tj0YKmBTU+ONPfK5o4fD8oLmlDUpTOZ+Gj8xaTtC0W\nmFB4aUpCMxep4UnqdPjNVxCEWtZE5dJGDM+4kjZWeHhcKDyUfC7TwtR0IFlM0pYO8tMMT7EanmLj\nF0jGpcjOjLJIMgmDZoNIjmxvXIsWDxVjeP6SIihVOEvKTFYqro3nntyPa3da0qaB0wRZ924gO0/y\njfZanQHOXVrDc0/ux/LiDERMjOGJN9em4yudzCpmSQ0kz8tCo8r6CZmen8Zzkt02zxhT3xJ6Hc2V\neQGPKNFubSVSvsW5tGV1HlqdyNZ+tu5qTSdYDY+kDw9QIODhpM2UMaYN1BvXIhZWfAZ3qoaH5M/j\nqA50uHFvE5tbg8znZYY2GSWMme16XbIm0feT1/ZDlLTRd2UyP7N6tjEkbaPYUieStvQeiz5zt+/h\n0ttNPH10X2YPJCol8s/lSJnJScP3A7x+dQ1PHJzDvnn5dU36uXj53C0ASW+17PmKzS0m2BMBz6rE\n7YggTnJAtqdFHuh1omZz5fIa/CCUah75rAg/YYgSLBnSk0AtJSnoGfbhkW3ORm08Gl2H/l65TsLw\nFJe0IfX6IudN1UQJm2nTTbxoY60qMheRFJVWUxm4Tm+IQNP5nLFhQsCT59AG5C/4/aGPN29s4OTR\nfZnCQ1mW0JTtTN/XWiqwzJMUZOqsuGfDyB56RJc2gEsACM+DSQZRhImkrV51cWj/DEtM8AEef99X\nr6xhpubixOOLqeNlryXHN9kCeebkMsIQWL063XU8K5fXYFnAC0+l+zuIzKHr2GjMVNBs9/Hqyh0E\nQahZEHenpE0sYl4wDDyArC01H/jMatoG8MeK7lx5z5VMarUoXLvpd0CBO6+CkM2zk5S0Jfc5vYFa\nkciOgMTQZpLd7U3mWbEwfJQ1SQcm+1fsV8YxLQDSa1J/6LGifh1oLaxWHNRrLhsTZomwcWypo3E0\nEsOTI2m7cHUdgXJfaC6551+33QHPlVstdPt+qiREdh3A5JzTXjl3G47EjCZzvgl+9j0R8MjcjggL\nc9VMlCj2tMiDuCDRz624T4tsYNODK1pP84XTKqqYHmAqemcLQ7ufX8PjyDPa/O9MkTZYyMkeki11\nkDA8VcNNpWg7bBIUyq5RlEvlFfEucNKFlHyASZByGJ52NgPX7Axyiz0rCknbjbttNGYqygwLkL/g\nR4WHoVSHy48jgmlhaiqAn6umvpcipgWLwrEmDju2EBAXgf2IGR4gqeMBorExU3NRcRNHwI3NHt6+\n38ELJ5YyC65MTtPpqlk4mvNWp1jWNvR8XLy+gRNHFtGYkQfhQHoj3uoMkv4MioBnUtKjooy0ir03\nhdhcj54tI0mbYEvtcmyRrm0AfywLAOL7lzeeGzMV2HbSC67Z5oOIggFPO5H66kwnksajgktbAYan\nP/TRG/hsnRevlfYNLwhNFpmhzQRlRCa21EC6MLzVGaBRj4Iv0zVJhxWNZCn6vCMGPJXsmmTa1ypx\ntk2zjkYBD0naxqjhGSXgoWRZ1rQgHUjL9oVMsqdpmSFiO6RdImSmX9nrmFwT1HvrW3jrZhPf9czB\nlCkYjz0T8Pyzf/bP8Lf+1t/Cxz72MZw7d27s92N6ySf3Z/4mu2l8Zt4ENEHTwHaddOZCnDD584oL\nES/ZUkra4geYit75z2Bcw7PDDA/J/0wgNpZ0HZttcotK2ibB8JDpRF6GTyU5yFso6F7xkrahF+D2\nWgfHDs1pNy55C742+Nc9C7n3Kp2Z4t3nithSLzSqqeJN180fI6P24QFkjGf03IyySJowPEBakrgw\nV2UbKLrXpJWWB6XFvqPnji/Bti1WMzSNuHj9IYZegNOaMcn/mzZfr128h+OPzePxg3LGc6cYHr7u\nZhSGJzEtEJiWEWypxffSwRYkbaYMTzJ+++gNPAyGfubaTb4Dzw/QiW3t847NZ3jyZS4tQcnBn2/o\nBbhwbQPHH5vPtJ6g105a0mbCwvGF4Xwd6LhjPXKFfIDFuapUQSAztClqWpBmeHyj8axiO02MCMaS\ntDmjmxZUXCGJJiQhGZutmd9NEhTJMZOXdolQSY7T1zG5AERXm7kd5yM88oDna1/7Gq5du4ZPfOIT\n+Mf/+B/jn/yTfzLW+/F6SWnhk8RimGW1DRcrykTxDRRJt/rUkQXphEnvLcuc07G6Ro8AtyByRfSM\n4VHovWkSqE+A4am4SeCRxwCka3i8Yj1TWAY/+kxRUOjG59V/R3QeRolz15l3LJ9h5Cd3klvkZTKY\nbehs2so6r9hTVsNz+0EbQRBqDQsAvkBSPvkxwwLJZCsWhEfXa1aYKmbiHcdmQU8hhqdRSxVv8o3n\nVKB1IU8PLkOmpo1J2kYxLXBTP1U4xrnssXmgUWP3WpcBlE3yOgnuTM3F00cX8daNh8oxsdNQde8G\ngEa9kkitKPPfqCEIQgy9AO9/6XHl+9arkdX4uPbBSW8zs/Hl2Bab801VAjwoWKFnbtGQaQE4hsfO\nMjymxy400tduUju02IiyzKI9ehGWTdxA6yRtPUXAkzR5zGd42PwsudZLbz/EYOhrLXi3el6mdcCo\noKbWeZvchUZUGN7uDiM53lz6uxo1u35vo4sHzR5On1iWXoPM0KbZ7qPi5jMRdUnA0xv4Rs8TrYXi\nfqkQwzNW49FRDA/SgQ7fDHzo+bh4bQNPHVmQMheLArtpgu3Y+PMIwxCrV9ZwYN8MDu3P1koSJmnm\ncfbcbVgW8L4zcjnbpM9HeOQBz9mzZ/FDP/RDAIBTp06h1Wqh0+mM/H5vXFPrJQF1xtS2LWVzR9V7\nyIKH0xJ2hz9GthDR+6gYJpHm5T9DImnLMy2INapx/5C8btoymLBRBMZaxKYFRYIrW5LBNz0vbWTp\ndTx7kJf11LEyJhk+3nqaHAFNGB6ScfGL6Q2ypNYYFgB6SZvvB7hwdR3HDs9JA1T5s2BWmPr/t3fm\nAVWV28N+zjnM83yY51EQBQTBCadScsix0sq83ay8DdqtvOX36+a1W1bqzUzNSjNTw9QkDUnFCScU\nRBABUcEBQQZlklGGs78/6OxA0TQHOrCff9DDZp+19vC+7xretVrrol7s3ak3rr1IoWjw3GGVtruJ\nGLZGIZchl8vEheFDSWlrHeFp5aFVVwTMPFeKtpYcb2ezm/5WHT24m3vUzc2SZpXAmbzyu1PoIfF7\n1cCbx0q5XCZ28W5vzOwTeGsP4I2Rsz/LrdKnbsftxvc/QnGrPTx3YNDfFOGRtz3X7ZDfMC7eTWTJ\nxFCX6rpGyqvq25X9Tu5Be2Psrf7293vy54sW3O772uuf15rfjbH7s8i8XdXOtt/bImNRaQ1NzcKf\nus7t8Uce/Futk+7ESPs9pa1tlbY7eZ9ucu7exbyg6LCUtlv34cm5VElDk+o2pZ3vftx40AZPfkk1\nldUN+N/CGL7fcpRX1ZN1vhQ/VwvMTfRueVyniPBcvXoVC4vfJz5zc3OuXr36p8+XcYsSvGrayxNu\nGXx07ngBJXrg2nRbb3mZbzmA3LAxtDV/tJgXvR5idZlWZanV5R7/sGhB23LUfyYdqPV5/ugFFffw\n/JbSdjffd2PRgpbv/S0KdgdNz1qO0/ntXL9HD/4ogtfaa3ajN+tOPHzXqts2NzX9rTncHy1Q24vw\n5BerS1LfumAB3H7CV3fRvlUebnsekztNW1BfK0M9rZsmqT+K8KiNbnUUrrUsd1ql7c8+v3KZTKz+\nB78/Y3/K4LnTlLZWUTrxHf7tZ+HVGs5fvrkprBp19KBNRLrm9lE49RiUmfvXS2trVgmculCGvZUh\n5sbtT24mN1wjtZ62lga42pnc9vwmRrr33JTvVulTt0P9/N5ppc/WqFNAf99boo7w/PECUWw8Ku7h\n+b3E9R//Lb8d2/Y638m7pb43BVeq28jeXgbFrbhxv+Bt9/DcorXB3RQtuFbddt+MGOGubvi94eit\n1g33cbHV2NQ2le92qK+NukWB6Q1ZHn92w3hmOw1WW9Pe+a/VXL+jCOaNKW2CINx5SptW2/lbLced\nGDG/R3jufm64F4NHrNJ2w3zQ0NhMxrmWtewfrUfvJjL8ICIdrbldGnxr7pcBkpRZhCBw2+g93N3Y\ncqfcfZ3X+8ydbMR68aNdt/xdeVU9Mhl0c71VpKXlon37SyYbdp0BoLisps3G4j+iPU+Y+t9/5DG5\nbYTnDwye1hVLDPS0yDpf1qZ5XHsobqgg8vv3/bkNbzo6it82Xd9+UFFPvAfS8qlvaMbK7Nah0Rtp\nb4+Gro4Cuawl5eV2iMZjq7RCE0Mdyquu/2GzVPX135dyicYmFaZGuqIs6mv/8id7xHKuN1JRfR07\nK8M25ztzqYaf9ua0Of+NqO/vyZyr4rOtTlX4o5Q2dVpX679Vo47+3eqZVEcPUrJLxL+taNVT43YY\n6LXsa2qvv9SddKvW/e05UmN8F568lkjjn/PNyBXydg3pP7WH5w4jPCaGLeVVa+oaRZ3V1+r/LT+M\nINw6Mqw+9vLVGvEeqcv23uoeqQ3cmIQc9qbk34VGD55mlYra+ib6Bt56crtxrFT/DA+wu6MUoHMF\nzUz7KF4sb3+3VP1W0vtujOp7ifCo962Jht7dRHhuMHTuJaXt7iI8Lceu2JLR9hy/6fBr4gUOpxfe\n9hzqlMsbU9p2Hr1IUmZRm2PV49LNEZ6W9+nnhFz2JF+67fep+4Xc+H0bd5+hvqEJpYVBu+XOW//N\nnG+O/Glni5rm39Y4d3KPbnWd1VH15FPFt10P3YrSyjr0dRW42bfvQFBfm8/WHxfT5euuN9+RzOrr\ns2JrBj/sOI2AgEol/KmiBb+vee482nlvKW33YPBot82iOXWhjLOXKoA/ty68FepjF/+YdseFDu4G\ntYP2VkbajXIcSr/MqfN/viqoeq1zq2I04vfdxdjSGi0tGX8fcnP2BIBMeJClH9phyZIl2NjY8MQT\nTwAwdOhQtm7dioGBQbvHp6SkPEzxJCQkJCQkJCQkJCQ0lJCQkJs+e+gRnr59+7JkyRKeeOIJMjMz\nUSqVtzR2oH2hJSQkJCQkJCQkJCQk7oSHbvAEBQXh7+/PU089hUKh4N///vfDFkFCQkJCQkJCQkJC\noovw0FPaJCQkJCQkJCQkJCQkHhYd0nhUQkJCQkJCQkJCQkLiYSAZPBISEhISEhISEhISnRbJ4JGQ\nkJCQkOhApMxyCQkJiQeLZPB0EF1tgutq+t5Ifn4+lZWVHS1Gh1JRUdHRIvwlUKlUf3xQJyY//6/V\nK6gjSUpKAvjDfkMSEhJdh64+RzwoJIPnIVJXV8euXbtoaGjoEhNcV9O3PWpra1m8eDHvv/8+ly7d\nvlFeZyUhIYGXX36ZrKysjhalw/nxxx9ZtWoV1dXVHS3KQ6egoIB3332XTz/9lJqamo4Wp0PJzc3l\nvffeY9GiRRQWFnZ5h9DRo0cpK/vzzQw1nXXr1kk9B2mZL7/44gvOnz/f0aJ0CGr9pWcBNm/eTFJS\nEvX19fftnA+9LHVXZePGjcTGxhIZGYmWVue/7F1N3/ZIT09n+vTpTJo0iWXLlqGrq9vRIj1Urly5\nwscff8y1a9eYNm0aYWFhHS1Sh3Hs2DGWL1+OpaUlL7/8MkZGRh0t0kPlm2++4ddff2Xy5MlMmDCh\no8XpUOLi4vjnP//Jl19+yQcffNDR4nQoubm5fPvtt+Tl5fHRRx9hYWHR0SI9VPbv38+WLVtobGxk\nwIABHS1Oh7Jhwwbi4+NxdXXFwcGho8V56GzcuJG4uDh8fX0JDAzsaHE6BEEQKC8vZ86cOTQ0NODh\n4YFcLqdXr1735fxdcyX6EKmrq2Px4sXs2bOHVatWYW9v39EiPVC6mr63Q0dHh8DAQAYNGoSuri4n\nTpxAqVRia2vb0aI9FHJycigtLeWdd97B19eX69evU1tbi7m5eUeL9lC5du0a33zzDd7e3syaNQto\n8eTdruFyZ6OhoQFjY2PR2ElPT8fd3b3LGX4AAwYMwNTUlN69ewOwa9cubGxsutwiZ9++fbz99tvM\nnTuXqKiojhbnoVNYWMiLL77IokWLGD58ONCSyiSXyxEEoUtlRezatYu5c+eyY8cO0djpStcgMTGR\nZcuWMX/+fHFx39TU1OWcxTKZjObmZgCWL19+38+vmDNnzpz7flYJqqur0dHRQS6XU1paipmZGZGR\nkVRWVrJt2za0tbWxtLTsaDHvG11N3/YoLy/ngw8+oKGhAS8vL/T19dHS0mLt2rWkpqaybds29u/f\nT25uLhERER0t7gMhJiaGkpISXF1dcXJy4uzZs5SWlpKens7ixYs5efIk2dnZnT7a09TUxPHjxzE3\nN8fIyIi6ujpqa2sxMzNj06ZNbNq0iZqaGszMzDA2Nu5oce87Z8+eZeHChfTq1Qs9PT3CwsJYvXo1\nNTU1bNq0iT179nDw4EHkcjkeHh4dLe4D5dKlS0yePJmePXtiY2ODjo4OgiDw/vvvc+HCBU6ePElc\nXBy1tbXY2dlhaGjY0SI/UFQqFTKZDCsrK2JiYpg5cyYGBgbExcVRUlKCUqnstAu9pqYmGhsb0dLS\nwtjYmPz8fGpqaujTpw9ffvklWVlZWFhYYGZm1tGiPnCKioqQy+Voa2vj7u7Onj178Pf3x9TUlPnz\n53PmzBksLS077bUoLCzk2rVrmJiY4OTkRGpqKg4ODujo6LBo0SJOnDiBlpZWp492qedKS0tLtLS0\nOH36NBcvXqR79+6sXLmSDRs2UF9fL86l94Jk8DwAfvzxRxYuXIiPjw+2trbo6+tz7tw5Vq9eza5d\nu9DW1mbVqlUoFAq6desmTgCaSlfT91ZkZmayb98+0tLSePzxx9HV1cXAwICMjAwMDAxYuHAhPXv2\nZOXKlYSEhHS69I3y8nLeeecd9PT0sLKywtLSEgsLCzZv3kxNTQ3/+te/8Pb2Zu/evVy5cqVTe7Tn\nzJnDjh07sLW1xcXFBU9PT7Zt20Z8fDwWFhYMGTKE48ePk5CQwNChQzta3PtOfHw8P/zwAz4+Pjg7\nO6NQKLCysuKrr75iypQpzJw5k6qqKjIzM1EqlZ3aGZKVlUV8fDyFhYUMGzYMgJCQELZt20ZoaCiz\nZs3C09OTI0eOYG9vj52dXQdL/GAoLS1l0qRJWFlZ4eLigp6eHoIg8Mknn5CTk0N2djbHjh3j3Llz\nWFtbd7rxsaKigvHjx5OdnS2+8+Hh4bzxxhscP34cpVJJeXk5e/bswdTUFEdHxw6W+MGRn5/PiBEj\nMDc3x9fXF4VCgVKp5O233yYvL4+AgAAuXLhAeno6enp6ne5aXLt2jfHjx6NSqXBzc8PIyAhra2s+\n++wzMjMz6dWrFzKZjEOHDokO1M7KjXOlmZkZq1atorCwEGNjY/r27UtKSgpJSUkMHDjwnr5LMnge\nANu2bcPU1JTTp08TGRmJmZkZdXV1lJaW8sILL/D444/j7OzMxx9/zNSpUzV+8d/V9G1Neno6SqUS\ngJ9++omoqCgKCws5c+YMYWFhGBgY4OPjQ69evTAyMsLU1JSMjAyqqqro2bNnB0t/71y7dg2VSoW2\ntjaHDh2ioKAAW1tbamtr8fHxQalUYmxsTL9+/XB3d8fGxobGxkaKiooIDQ3tVM9CQ0MDCoWCqqoq\n1q9fT2BgINXV1Tg4OGBmZoa5uTmmpqY8++yzuLu74+Xl1carqekUFRWhra2NQqEgJSUFLy8vEhIS\nCAsLw9jYGHd3d5ydnenbty9aWlrY2dmJ+/w6g/5qGhsbSU5ORl9fHwMDW2JWLQAAIABJREFUA44c\nOcLkyZPZtGkTFhYWeHp6AhAREUFQUBA6OjrY2tqyefNmXFxccHd372ANHgy5ubns2LEDQRDo0aMH\nBgYG9OzZk3379tG9e3fefvttAgMDOXPmDA0NDfj6+na0yPeV/Px8iouLSUlJISwsDCsrK3R0dLC0\ntERHR4cZM2bQr18/MjIyaGxsJDAwsNOmdWVkZJCXl0dlZSWBgYGYmpri6urKtWvXCAsLY8yYMQQG\nBnLq1Cm0tbU7zbOgvp+ZmZmkp6eL84KDgwMODg7U19cTFBTE448/jr+/P5WVlRQUFBASEoJc3nlq\njLU3V1ZVVeHg4IC5uTnNzc1s2bKFmTNnEhgYiJOTEwcOHKBbt273NFdIBs994OTJk6SlpeHm5kZT\nUxOHDx8mKiqKlJQUZDIZHh4eWFlZERISgouLCwBOTk6cOHFCIxc7XU3f9sjOzub9999n79695OTk\n0NzczBNPPIGzszNOTk6sXLmSfv36YWZmhpmZGTU1NZw6dYqamhq2b9/O2LFjRUNJE2lububTTz9l\nw4YNpKSk4O/vj6+vL2PGjKG0tJQzZ85gaGiInZ0drq6uWFhYUFtbi46ODqtWrcLb2xt/f/+OVuO+\nUFxczBdffMHRo0exs7PD1taW7t274+DgQHp6OoIg4OXlhb29Pd27d0cQBBQKBefOneP06dOMHz++\no1W4Jw4dOsQrr7xCTk4O8fHxDBs2DDc3NwYOHMihQ4e4evUqgYGBKBQKXF1dSUtLw8bGhvT0dJKT\nkxk4cCAmJiYdrcY9oV7IHD16lLfffpvi4mJ++uknXF1dGTx4MLa2tlhaWrJ8+XKeeuopAExMTMSF\nT0FBAUlJSQwZMkSjx4XWNDY2cvDgQQRBwNzcnFOnTjFgwACOHDkCgLe3NwqFgrCwMEJCQtDS0sLU\n1JRdu3ahVCrx8fHR6AV/cXEx3377Lc3NzVhbW1NQUMDgwYPR0tJiw4YNjB49GgB/f3/CwsIQBAG5\nXM758+cpKSkhIiJCY3W/kSNHjrBp0yYqKirw9PSkrKyMyZMnk5aWRl5eHj169EBLS4uQkBB8fHwA\n0NfXZ+fOndja2mq8wXPkyBHWrl1LXl6emNnw2GOPUVBQwLlz53BycsLU1BR/f39Rf4VCwe7du7Gw\nsKBHjx4dKf59407nSn9/fzHS6ePjQ2FhIRkZGYwdO/ae3gnJ4LkHmpqamDdvHnFxcRQXF5OWloa5\nuTkTJkxAqVRSV1fHnj17GDhwIAYGBshkMhISEsjNzSU6OpqamhrGjRuHQqHoaFXuiK6m7+2IiYnB\nzMyMjz/+GEEQmD9/PoMHD8bIyAhLS0suX77M3r17xdSFw4cP89NPPxEfH8/48ePp379/B2twbxw4\ncICsrCwWLlxIamoqmZmZADg7O2NmZkZmZiYVFRV4eHigq6vLjz/+yNq1a1m6dCm+vr5MmjQJHR2d\nDtbi3qmpqeHdd9/Fz88PQ0ND4uPjaW5uJjQ0FFtbW3JzcykoKMDS0hJLS0vy8/OZM2cOycnJbNmy\nhb59+2q0J/fatWt8/fXXvP7660yZMoWYmBjKy8vx9PTEwMAABwcH1q5di5+fHzY2NgBER0ezatUq\njhw5wj//+c9Oka6hvnfr1q0jIiKCmTNnolKpWLVqFYMGDUJfXx8PDw8xtU29MbmwsJBNmzaRlZXF\na6+9Rvfu3TtSjfvGyZMneeWVV6ipqWHNmjXY29sTEhKCl5cXFhYWbNiwgV69emFsbIyxsTHHjx/n\n8OHDlJSUsGfPHsLDw3F1ddW4d0L9Hh8/fpy5c+fi7OxMRkYGO3fuZMqUKRgbGxMSEsI333yDtbU1\nHh4eqFQqTp8+zYIFCzh//jzbtm1j/PjxODs7d7Q694T6WuzevZuvvvqKgQMHsmbNGqqrq4mIiMDU\n1BQnJyfWrVuHj48P1tbWaGlpsWXLFlatWsXBgwfJz89n9OjRWFlZdbQ6d03rZ+F///sfI0eOZNu2\nbRQUFIiOUaVSye7duzE2Nsbe3h49PT22bdvGV199RUJCAufPnycqKqpTpLne6VxpamqKtbU1bm5u\npKWl8fPPP7N161bCw8PvOStGMnjugebmZnbt2sUHH3zAo48+Snl5OWvXrmXEiBEoFAoMDQ3JyMig\nuLiYwMBAamtryc3NZcuWLfj4+DB79myNWvx3NX1vJC4ujqtXr+Lk5MTBgwfx9fXFw8MDZ2dnLl68\nyLZt23jsscdQqVR4eHjw888/Y2trS05ODl5eXowYMYInn3wSb29vQPOq0GRmZtLY2IiJiQlxcXHI\nZDL69++Pp6cnRUVFZGdn061bNywtLamtrSUvLw9zc3NqamoIDg4mIiKCwYMHM2LECHHjtibp35or\nV65gaGhIYWEhO3bsYO7cuQQFBVFbW0t6ejqmpqYolUpxD5eWlhZeXl4YGhri5+eHSqVi2rRpYvEK\nTboO165dIyYmBltbW8zNzdm2bRvOzs64u7vj6enJ9u3bsbCwwN7eHqVSSV5eHufOncPZ2ZmdO3fy\n97//nfDwcJ599lmNj2aUlJSwevVqysvLcXBwID8/X0xL6datG0eOHOHKlSsEBQUhk8no3r07ixYt\nIigoiOjoaCIiIhg5ciSjRo3CxsZGo9+J1sTExODt7c1bb72FpaUlsbGxuLi4oFQqcXJyIjk5mfz8\nfMLDwwG4fv068fHxpKam8vrrrxMaGtrBGvw56uvr0dbWJj09nfLyct59910GDhzIypUrMTQ0xM3N\nDblcjpmZmRjtk8lkaGtro1KpKCsrY9asWXTr1q2jVbkvyGQy4uLicHV1ZfLkyQQEBBAbG4uFhQV2\ndnZi5CslJYXBgwcD4OLiwvXr1zEyMuK9997TSGMHWiKcCoWC+Ph4jIyMmDJlCoGBgRw/fpyamhrc\n3NywsrKitLSUjIwMgoKC0NfXx8vLC2NjY3R1dZk9e7bGGzt3O1fq6Ojg5eWFkZER/fv3x8LCgkmT\nJt2XQk+SwXOXbN26lfj4eGpra7G3t+f7779n3Lhx6Orq4uLiQlJSEufOnaNXr17o6upiaWnJzp07\nycvL4+zZs4wdO5aoqCiNGdC7mr7tce7cOaZPn05NTQ1btmwRU/KSkpLECE5ERARffPEF/v7+2Nvb\nY2RkxOHDh/nkk0/Q0dHh0UcfFatxNTc3I5fLNWZhU11dzfz581m/fj0XL14kLS2N8ePHs379eiIj\nI7G2tkYQBHJzc8UNlu7u7hw4cIBvvvmGmJgYIiMjcXZ2xtzcHEEQxPQNTePMmTPMmTOH3bt3c/bs\nWQYPHsyOHTswNjbGzc0NQ0ND8vPzyc/PJzg4GCsrK5qamvj1119ZsGABRUVFjBw5Ej8/P40sybxt\n2zY+/PBDqqqqOHnyJCUlJTg4OFBZWYmfnx9KpZKLFy+Sk5NDcHCwWJr9rbfeIjY2FltbWyIiIjRS\n9xtJTU3ljTfewMXFhaNHj1JTU0NNTQ0qlQpbW1tMTExwdHRk+fLlREVFoaenh7m5OatXr2b9+vWE\nhIQwcOBAsSKZuiSxJnLlyhWWLVtGUVER9vb2VFdXk5WVxaBBg/Dw8CArK4uCggJcXV0xNDTEx8eH\njRs3YmRkxKpVq+jRowfjxo0jKipKNPxAcxwB6enpfPbZZyQmJmJnZ0dDQwOVlZW4uLhgbGyMmZkZ\nMTEx9O/fHz09Pby9vTlw4ACJiYls27YNHR0dRo0aRe/evTX+3di+fTvz5s0T05rNzc05e/YsPXr0\nwMHBgatXr5KZmYmnpycmJib07t2b9evXc+LECZYsWUJAQACRkZEam8a1c+dO5syZQ3Z2No2Njfj7\n+7N7927Cw8Oxs7OjtraW7OxsMaoTEBDA/v372bNnDx999BHe3t706dNH46O99zJXLly4kOLiYvr3\n74+dnd19a+GgmaNrB9DU1MSSJUuIi4vDx8eHWbNmieV3P//8c6Al53TSpEmkpKRw9epV9PT0qKys\nJCUlhe3bt9OzZ0+0tbU1IpWnq+l7Ow4ePEhQUBD//e9/mTVrFmvWrOGJJ54gIyODpKQkoCXfdvz4\n8ezfvx+Ad999l8LCQqKjo/noo4/aTGKaFuXKzs6muLiYjRs3MmPGDLKyssjLyyMoKIgNGzYAiB6Z\n2tpaAHbs2MHmzZsZM2YMe/fuFfOSoWURo6kLu88++4zIyEg++eQTysrK+O6773jyySf59ddfAXB0\ndMTDw4OqqioqKyuBlo7RJ0+e5OWXX+Zf//pXR4p/z6Snp/Ovf/2LhQsX4u3tTXV1Naamply+fJnU\n1FQAxowZw/79+ykrK6OiooL33nuPoKAgVq9ezRtvvNHBGtw/9u3bx7Rp05g5cyYjR47kzJkzPPLI\nI+Tm5nLmzBnq6+vx8/PDxcWFNWvWAC0ViXr27ElsbCzTp09vcz5NfSeysrJ48cUXMTAw4OzZs6xY\nsYK6ujqsra1JT08H4PHHHyc7O5uysjIAHBwcKCkpYfbs2djY2LQpTa6u4qkpxk5JSQmffvopQ4YM\nwd7eXswEqKqqIj8/H4ChQ4ciCAKxsbGiXs3Nzezbt4+IiIhO04fo+PHjREdH8+qrr6JUKtm5cydF\nRUXo6uq2eRYuXrxIQUEB0LKv48yZM2RmZjJr1iyNrt6ZnZ3N999/z1tvvUVkZCTbt28nNzcXT09P\n9u7dC0Dfvn0RBIGSkhKgRf+EhAQKCgqYP38+ffr06UgV7hv3Mle+9NJLzJ49+77LpJkjbAegpaVF\neno6r776Ko888ggvvPACK1eu5M0332Tr1q0UFxcDoFQqcXR0pKioiJKSEubPn88rr7zCTz/9pFEe\ni66mb3uovYwuLi7iBtrQ0FAMDAzQ1tbm6aef5ptvvhEHLnXUC+CFF15gzZo1BAUFIQgCKpWqw/S4\nV3Jzc9uUgzQ3N0epVNK/f39SU1NJT0/HwMAAS0tLsrKygJYiFVu3buXll18GWgxoTUYQBPLy8rCx\nsaFv376YmJjg6+uLjo4O3t7eyOVyfvzxRwACAwM5evQoCoWCS5cuERISQlxcnMYWJ1C/B9BSWljd\nONfIyIisrCwGDhyIqakpKSkpFBcXY21tTWBgIMXFxWhpafGPf/yD5cuX4+Tk1FEq3FfU18PR0VFs\nrBwZGUl6ejqurq707NmT1NRUcXN+aGioWHntH//4B59++ik2NjY0Nze3ubaaSmpqKuPHj+eVV14h\nKiqKmpoa/Pz8aGhoID09nerqatzd3TE3N+enn34C4IsvvsDLy4stW7bw6quvtjmfphl+Bw8exMbG\nhkceeYSJEyeSmppKREQE1tbWpKSkcPHiRQCmTp1KfHw8AN9//z0BAQHs3btXbMbbGdi3bx+PPvoo\nQUFBhIaGcvHiRQYMGICuri4ZGRlcvnwZY2NjAgIC2Lx5M9CSKv7aa68RHR0t7m3TVFJTUxkwYAA9\nevTAy8sLuVyOm5sbLi4uZGRkkJubi6GhIU5OTuzcuROA5ORkpk+fztq1azVef/hrz5VSStsdUlNT\ng5WVFX5+fujq6nLlyhWampoYMGAAxcXFbN++naioKAwNDdmwYQNRUVEolUomTZpEQEBAR4t/13Q1\nfdW07hGk/unq6oqvry8ymYxTp04RHx/PxIkTCQgIICsri+TkZBITE9m/fz99+/bFzc1N7CGhaelr\n8Ps1UMvu7u4uet1UKhWbN29m+PDheHt7U1lZyddff42rqyuxsbGEhITg7++PtbU1hoaGNDc3I5PJ\nNC6qdSMymQxDQ0MCAgLEBb86N1tdin3RokWEh4dTXFzMhQsX6NOnD3Z2dvTs2VMj9V+yZAlKpRIz\nMzMxH33o0KFiRbXDhw9jbm5O7969MTU1JSsri02bNpGTk0NWVhaTJk3CzMysU/RTUb8LrVOt1Omr\ngFiSPSoqSvRaRkdHc+zYMfbs2cPEiRPFdwJa3iOFQqFR48KtKCgowMPDA1tbW2xtbVmyZAnPPvss\nMpmMs2fPcvnyZbp3705dXR0KhYKePXvi7e3N6NGj24wRmnIt1O+C+plwcXERK5MaGBiwd+9e+vXr\nh5ubGykpKeTk5NC7d29OnDiBkZERYWFhdOvWjYiICI0cF1qj3nOmvhbW1tb06NEDfX19rK2t2bx5\nM2PHjsXIyIjc3FwSExOJjIwkJSUFPz8/fH19CQoKws/Pr6NVuS+YmZmJ6f3GxsasX7+eqKgonJ2d\nKSgo4Oeff2bEiBEcO3YMpVJJUFAQ3t7enUZ/+GvPlZrlSnmI3OiRNzQ0JDIyUtyHkZWVJd6Y2bNn\nY2BgwNy5c3n66aext7fH2NhYY/YptBeB6Mz63g61/Lm5uWJ6Vmuys7PbVFh74YUXmDRpEkZGRvzv\nf/8TN16q0cQJTS6XU11dLcqur68v/i47OxszMzNxIHvmmWf429/+xu7du+nTpw8TJ05scy5NXdQ1\nNze3+b8gCGhpabXZZF9cXCwa97169WLKlCmsW7eOhQsXMnnyZKytrR+qzPcLdTSuuLiYhQsXAqCt\nrQ20PBuNjY1Ay9429UTt5eXFjBkzGDduHJaWlnz11Vcau9m4NepxUf0u1NbWigu81r/PyMgQ330D\nAwP69+/PnDlz6Nu3L5s2bbppQaOp46Ra39aRqaioKLF6UlpaGkqlEiMjIyIiIhgyZAgxMTG8++67\nLF26lODgYKAlSqw+nyaNEVeuXBGj2K3HRz8/P2QyGeXl5RQXF6Ovr4+bmxtPPfUUTU1NvPTSS/z4\n44/07dsX+P190nTU9019LTw8PMR7e/ToUQwNDdHX1ycwMJBnnnmGqqoqpk+fzsmTJzW6Uumtsjac\nnJxEh1B2djZ6enoolUqUSiUvvvgilpaWzJgxg+TkZEaNGvWwxX4gaNRcKUiIXLlyRbhw4YL4/+vX\nr4v/bm5ubvP5lClThOLiYkEQBKG+vl6oqakRcnJyhGPHjj08ge8z586dE5KTk2/6vLPqq6apqUn8\n97Vr14SPPvpIePPNN4WKigrxc5VKJQiCICxZskQ4efKkcO7cOeHNN98U4uPj25yrublZPFaTeeml\nl4TY2NibPl+1apWwceNGQRAE4euvvxbWrVt30zGt3xVNo/WzUFtbK6SkpLR73KVLl4TXX39dEARB\nqKioEK+JJut+IyqVShg9erSQkJAgCEJb3ZqamoSXXnpJqKqqElJTU4XZs2cL6enpHSXqA+fEiRPC\njBkzhKlTpwqCINz0jn/88cfCyZMnhcOHDwuvvPLKTeNC6+dKE7nxub5Rf/Xv161bJ3zzzTfi59eu\nXRNKS0uFQ4cOCQ0NDQ9e0AeEWr/c3Fxh0aJFwrJly9qsFdTExMQIc+fOFQRBEOrq6oQTJ04IgiAI\nOTk5D0/YB0zrZ6G+vl747rvvhOPHj4ufqZ+NBQsWCBs2bBAEoWVtkZGRIQiCIBQVFT1EaR8seXl5\nQn5+fpvP1PqvXbtWWLp0qSAIgnD69GnhyJEjgiAIbdYVmowmzpVaD8es0gw+//xzPDw8eOyxx/j2\n22+5cuUK/fv3Z8yYMW08cuXl5bi5uWFjY8OCBQvIyMhg/vz5bTZe/tVpbm5uE31ISEjgyy+/vGkj\nLXQOfdtDXRVJoVDQ0NCAXC7n4sWLHD9+nKeffhpTU1PxGLUn69ChQ+Lmy4EDB4pV2gCNi3AJN1RC\nunTpkrjPolevXqKnTn2sOu1k165dHDhwAFNTU3GPTutjNOkaqGn9LEDL5vz//ve/1NXVMXXqVIYO\nHdrmeWhubqaxsZHY2FhiYmLo1q0bTU1NGhnRu3EsgJY9Fubm5rzzzjssWLCAAQMGiPdV+G3Drb6+\nPu+//z4VFRU899xzGl9VqD2am5uZN28eRUVFREREMG/ePPbu3cugQYNoampCS0uL2tpaTp48yZkz\nZzAyMuLpp5++qYSqJj4XrVHf+wMHDrB+/Xq8vLyYNm2amKKnHkPKysro1q0bx48f5+uvv2bo0KFM\nmDBB3Ijd3rP2V+bGMU1HR4cffviBgIAAnn76afEYaLkGOjo6BAcHs3XrVtavX8/YsWMJDAzU+LkS\n2l4L9X0sLS0lJyeHfv363XScpaUlOjo6fP311xw6dIi///3vABpbil6tl0qlQqVSsWTJEhITE3F3\nd+exxx67KWKlLtb03XffsXfvXiZPngzQKRqvAxo5V3Z5g0elUomdz0eNGsXmzZvF/iGDBg3im2++\nobGxkYkTJ4oTnL6+Pps3byYjI4PIyEiWLl0qDvyagDqNAFpStzw8PCgqKqKhoUGspqV+uQGN1/dW\nqCexX3/9lS+++ILIyEh8fX155pln2L17NyNHjhRLxqoH+PDwcKqrq3njjTfEVK/WxoCm0Hrhcf36\ndSoqKsTmkSNGjKCpqYmcnBz69OnTplzu5cuXEQSBp59+mrCwMEAz9b+R1kbam2++iY6ODl988QX5\n+fnExsZiY2ND//79xeNKS0s5e/YsBw8eZPbs2Rq5oGlubmbx4sUolUomTJiAjo4O2dnZ+Pr6Mnjw\nYGbMmEFcXBxWVlasXr2a5557TnwW1Ht2nnvuOXEi13Raj3lNTU0kJiYSFhZGRUUFU6dOpVevXujo\n6DB37lwGDRqElpYWzc3NGBgY4O/vj62tLX/729/aPZ8mor7XgiBQU1PDokWLaGxs5JlnnmH16tVE\nR0czcuRIMb21oaGBvLw8cRP/c889p9GGX+txLzk5me3btzN27FjeeOMNysvLOX36NKGhoW3u8eHD\nh4mLi2Ps2LHMnTsXT0/PjhL/vnGj06+4uJjXXnuNlStXYm9vT11dHYmJiWITVfUzk5CQwOXLlxk9\nejRffvnlfSst/LC5UX+5XM7Vq1fJyclh5cqVVFVVYWlpKR6vPu7UqVMcPHiQUaNGabT+aoR22knM\nmDEDAwMDjZkru3TRArWVqd6z4ObmxoULF0hLS2PKlCn07NkTW1tbli5dyrhx40SLvaSkBGNjY6ZP\nn87w4cM1ouxyeno6Z8+exdnZGZlMxpEjR3j//ffZv38/DQ0NhISEUF9fT15eHsHBwW0GcU3Utz2O\nHDmCsbExenp6QMtm24ULF1JeXs7rr7+Ovr4+sbGx4gbbwsJC/P392xiIPXr0YNCgQWKjOE1a6Dc0\nNHD58mVMTU2Ry+XU1dWxePFiNmzYQPfu3enTpw9paWns2bOH0aNHs3HjRqKiolAoFKKunp6eTJo0\nCQcHB0Bze4eoN9m2ZsmSJZw+fZr+/fsTHR3N3/72N5ycnMjKyuLKlSs4ODiIe9r09PQICQlhypQp\nGrsp/6effmL79u3U19dja2tLcnIysbGx+Pv74+7uTk5ODsnJybz66qt89NFHjBkzBl1dXRobG9HT\n0+PJJ5+8587XfyVav8cpKSnExsZSXV2NoaEhZWVl+Pr6EhgYyPfff09jYyPBwcHiHNK/f3+CgoIA\nzSurfCOt5W9oaEBLS4v6+noWLFhAjx49mDBhAs7OzqSlpWFgYICrq6tYmOTs2bMEBATwzjvviNFi\nTTL8CgsLSUpKwszMDD09PWQyGZs2bWLFihUEBwdTWFjII488QkZGBoWFhXh6eqKvr9+mgEFwcDDP\nP/+8xo4Laurr69HS0hLvXXJyMgcPHsTNzU1sFmplZUVgYCC7du0iMjJSdALI5XIsLS2ZOHEiUVFR\nGr1nSa1/UlIShw8fxtTUlJKSEgoKCggLC8PKygqFQkFBQQFaWlqiroaGhkyYMIHhw4drtP6tCy/J\nZDLy8/M5ceIELi4uaGtr89NPP2nMXNnlDJ6ioiJ2796Nr68vcrmcoqIiZs+eTVJSEvn5+YwdO5bk\n5GSUSiW2tra4ubmRlpZGc3Mz3t7eQEtIMiwsrMNv3p2iTjm5ePEi/fr1o6GhgW+//ZYZM2bQvXt3\nFixYQGhoKKamppw5cwZjY2Ps7OzEB13T9G2P0tJSnn/+ec6dOwe0bK7U1dXl22+/xcrKirFjx+Lk\n5ERFRQWpqakMHTqULVu2EBYW1qaHjqY2CSwrK2PKlCmcPn2aQYMGUVNTw//93//h5eVFUFAQn3/+\nOcOHD2fkyJH8/PPPFBQUUFdXx5AhQ5DL5aKumto8VU1zczOff/45Fy5cwMfHB4VCQXZ2tlhh6ZNP\nPuHNN98kMTGRiooKevbsiZGREcnJyTQ2NorV+vT19cUKXZqKv7+/2E+qrq5ObIpXWFhIYGAgoaGh\nfPzxx4wfP57i4mJ27tzJo48+Khr/muStb48bHSCXLl1i9erVBAUFYW1tzdWrV7ly5QoymUyszOXg\n4EB+fj4///wzTz31FLq6uuKCXp3apEnjQnuo3+kNGzawYMECKisrkcvlhIeHEx0dzRNPPIGtrS1H\njx6luLiYiIgI8fqEhoaK7Qg0yfBTqVQsXbqUJUuW0NDQwI4dO0hJSWHAgAEkJSUxfPhwHn/8cXE8\nkMvl5OTkUFVVBYCNjQ0AFhYWGh/VUalUHDhwgLS0NLG08uLFi9m8eTO6urrExMQwfvx4DAwM2Lhx\nI3V1dbi6uuLp6Ym2trb4/Lu4uLSJfGgKZWVlqFQq0bHb1NTE559/zo4dO7Czs2P16tUEBweze/du\nnJyccHJyorq6mnXr1tG9e3d0dHSQyWTY29tr9Jqp9Vzp5uaGjo4OS5cuZcWKFahUKn788UemT59O\nQkICVVVVGjFXdhmDp7m5mRUrVrBixQp8fX3x8/OjvLychQsXMnLkSJ5++mmmTp3KoEGDUCgUpKen\nY25ujr29PVu3buWRRx7RyKpLgiCgr69PUVEReXl5NDc3ExERQXl5ORcvXiQ6OhpLS0uqqqoYPHgw\nV65c4dixY/Tt21dc3HcGGhoaSEpKYsiQIWzbtg2ZTIafnx9mZmYcPnyYPn36YGxsjFwuJzc3l5CQ\nEEpLS7G0tMTOzu6m82nCJN4afX19Dhw4QF5eHhYWFvj4+FBeXk6vXr2IiYkRDcHw8HBCQ0OprKxk\n7dq1TJkyBV1d3ZvOp6mLuttFNTw8PMjJyeHYsWNtohoODg6cP3+426piAAAOfElEQVQec3NzPDw8\nNO7e34qmpibkcjkGBgbs2bMHb29v9PT0OHv2LEqlEjs7O44fP05sbCyffvopenp6uLm5dbTY94Vb\nOUAWL16Mubm56BC7dOkScrkcQ0NDfvnlF3bs2IGPjw/19fXk5+cTFhbWpoy9Jj4bx44d4/333+f0\n6dPo6elhb2/Pr7/+yrFjx5g9ezbJyckkJCQwceJEMjMzOXHiBP369aOgoICcnByGDh16k/GrafsZ\n165dy/nz51m6dClDhgwhPDxcdIYlJSVx7do1wsPDUalUnD59mtraWvT09FixYgX6+voEBQVp5L1v\nD5lMxoULF8RqcwYGBnz//fd899134n0vKipi2LBhWFpa8t1335GSksLkyZM1PpKxYsUKlixZQnJy\nMmlpaVhZWWFhYcEvv/zC4sWLKSwsZOfOnUydOhUDAwN2795NdXU1iYmJnDhxgtGjR2v0NWiNeq68\nfv06rq6u4jzxwQcfIAgCW7duRUdHh8mTJzNv3jyNmCu7hMGTkJDAyy+/jK+vL2+++aZYGlMmk3Hg\nwAFkMhnR0dGEhoby5JNP4ufnx759+zh48CCHDh3C0NCQUaNGacyDvH37drEUqoGBAQ0NDVy6dAk3\nNzfOnz+PUqkkLCyM9evX89lnnzF27FjeeecdSktL0dLSIjQ0FGdnZ4334KpRG31Hjx7F2NiYRx99\nlHXr1qFSqXjsscc4fPgwWVlZ+Pn5kZCQwPnz53nmmWfo3bu3mLqlaVy+fJljx47h7OyMXC5HpVJR\nXV0t7r0ICQnBzc2N5cuXM2bMGJ599lkWLFiAoaEhdnZ29O7dm4KCAhQKhdg0sTNwt1GNHTt2MGzY\nMAICAvD29v7LDeD3gnpBamtrS05ODsXFxfj4+FBWVkZycjIXL15EqVTi4eEhPi+dhfYcIN26dcPU\n1JSYmBgiIiJwdXUlMTGRoqIiBg0aJOaeT5s2jbNnz9KjRw9cXV07VpF7oKGhgYULF7J9+3YmTpyI\nvb09CoUCR0dHYmNjxaaAaWlpvPLKK7i5uWFnZ8cHH3xAcXExJ0+ebJPe2hpNek8aGhr46quvmD59\nOkqlktraWoyNjTEzMyMxMZFRo0axYsUKAgMDsbW1ZcOGDTQ1NTFu3DiGDx9Ov379NErf9vj111+J\njY0VyypbWlpy6dIlioqKcHNz48iRI8jlcjw8PLC0tCQ6OpqwsDAxGmpiYkKvXr3apMBpEuo1op+f\nH++88w4hISFcvXqVTZs24ePjw9GjR5k/fz5GRkZ8+OGHNDc3ExgYiLW1NYcPH6axsZF33323U+xt\nVtN6riwuLsbR0RFXV1eWL1/OyZMnmTJlCps2beKZZ57h5MmTHDlyhCFDhvyl58ouYfCcPn2aQ4cO\nsXjx4jYbx/Lz8zl79iyHDh3itddeY+LEifz8888oFApsbW1pbGzk+eef1zir/dSpUyxatIhLly4R\nHByMiYkJJ06cIDc3lwEDBrB7924GDRrEe++9x5AhQ6irq6O+vh4XFxciIyMJDQ3tNMYO/D751tbW\nUldXx4gRI7hw4QKrV69GpVIxduxY1q1bx/nz5ykrK+O5557D2tpa3Hz5V3xx/4g1a9bw73//G7lc\nTmhoKHK5nAMHDiAIAr6+vhw9epR+/foxZ84c5syZg6mpKZmZmZw9exZLS0vs7e3Zvn07o0ePFvsK\ndAbuNqqh7qehSd7qu0GdduTo6Cj2CQkJCeHQoUNcvnyZadOmER4e3tFi3ldu5wAZMWIEhw4dorS0\nlJ49e3Lq1ClKSkpwdXUlKCiI3NxcFi5ciEKh0HiPdklJCXFxcSxfvhxPT0/c3NxwcnJCJpNRWlrK\n22+/zfjx45k1axYWFhbs3LmT8PBwBEHgwoULLFu2TGMdQq1RKBQcPHgQfX19fH19xb5A7u7urF69\nmsDAQAICAtixY4dY1GjYsGHY2dm16VGmyZw+fZpFixZx9OhRXF1dsbGxwcbGhlOnTlFbW4utrS1Z\nWVmEhoZiZWXF/v37sbOzw9XVFXd3dyIiItDW1tbIuRJ+XyN+/vnn6OnpYWpqSvfu3SkqKuLXX38V\njdo5c+ZgYGDAokWLkMvlRERE0LdvX/r37y+mxnYW1HOloaEhCQkJ2Nvb4+XlRVJSEu+++y7+/v5s\n3ryZjRs3Mnz4cLp164a7u/tfeq7sEgaPu7s7Z86c4dSpU4SFhVFSUiJWlVAqlRgYGODo6IijoyMr\nV67E09OTPn36EB4eLu5Z0CS8vLzQ09Pj8OHDlJSU4OjoSHBwMAkJCQQGBpKbm4uhoSEhISHMmzeP\n/fv388QTTzBy5MhO0SzwVqSmppKYmMjRo0dJTU3lxRdfJDo6Gm1tbWpqajA1NeXf//431tbWGl95\nzN/fn4qKCnbu3EldXR09evTA3t6emJgYBg4cyLFjx/Dz86OhoYEvv/ySLVu2MHDgQGbOnImXlxd7\n9uyhsrKSwYMHa1RjwD+iK0c12kMmk1FSUoJSqeTkyZOoVCrCwsKIjIxk+PDhnWZB15rbOUAEQWDM\nmDFs376dJUuW0NTUxMyZM/H390dHR0dsKvrkk09qtLEDLWVzV61aha6uLnl5eezatYu4uDh++eUX\nnnvuOQ4ePEhoaCheXl58//33pKenM3ToUFxcXFi1ahW+vr5/mdz8e0FdZv3KlSt4e3ujr69PTU0N\nOjo6VFZWcubMGaZOnUpISAgmJia88cYb7aY5azLu7u4YGhpSVVWFvr4+y5Yto2/fvlRVVdHc3Iy1\ntTW5ubnExcVx7NgxioqKmDhxIsbGxp1iblCvETMzM+ndu7dYqMjY2Ji0tDS6d+/O5cuX2bx5M4mJ\niVy8eJHRo0djbm7+l17g3wtqvZRKJefOnePSpUs0NzeTmZmJoaEhBw4cYODAgXh4eDBhwgSNyATp\nEgaPTCbDwcGBlStXkp+fz48//oibmxvTp0/H19eXuro6Vq1axYYNG+jWrRvjx4/vaJHvCZlMhpmZ\nGUVFRVhaWnLmzBmysrLo1q0bfn5+KBQKNm3axD/+8Q9CQ0N56aWXxIo6nRl7e3vmzZtHcHAwixYt\nwsfHh+7du+Pg4EBUVBTLli3D09MTOzs7jR/EtLW1sbS0pLi4GC0tLbKystDS0sLR0VH0yu7evZt3\n3nkHgLFjxzJw4EAxsufs7CxW3ekME1prumJU41YUFxfz0UcfsXXrVi5fvsz48eOxsrLS+Of/TmjP\nAfLDDz8gCALDhg1j2LBhPPvssxgbG4sFCSwtLTuNU0hLSwsrKyu+//57Dhw4gKurK4IgUFFRQVpa\nGjNnziQmJobVq1dTVVXF888/j5WVFUZGRiiVSpycnDAzM+toNe4ZmUyGoaEh6enpVFRU4OfnJ25Y\n3759OxERETg7O6Onp6cRi7o/g1wux9jYmIyMDF588UWgJc0rKSkJPT09bGxsGD9+PCqVCiMjI2bP\nnq2RzuBboV4jfvvtt/Tp00d8rmtqakhISODFF18US6ybmJjwf//3f2361HVWWs+VGzdu5JFHHsHM\nzIytW7dSWFjIlClTxOqUmoBMUI/kXYDPPvuMmJgY4uPjxY3Y6mpbly9fxsDAoFMM4NCi1+bNmykq\nKmLcuHFMnz4dQRD47LPPUCqV7Nq1i2HDhnVKD+6taGho4JNPPmHs2LEEBATcVGlt3759BAUFdZrG\nYNevX2fNmjVAS8TnP//5D97e3vznP/+hurqaH374gb///e/iAu7GRqSdmZKSEmxsbJg3bx5eXl5M\nmDBB7LPV1SgrKyMpKYnBgwdrbMn5P0NZWRmPPPIITz75JLNmzQIgKytL3KCuRtMqMt4tV65cwdra\nmtraWjHl+/HHH2fNmjWYmJiIvdpAs0pM3y179+5l1apVDB48GF9fX6Kjo2loaOC9997rFJGsP0IQ\nBNauXUt9fT3Tpk2jrq6OZcuWERsbi4+PDwsXLuxUe1TaY/HixRQUFPDJJ58ALWld06ZN49NPP9XI\nolX3A/Vc+eGHHxIQEMDjjz9OdXV1m+q1mkKXiPCo8fLy4siRI3h7e2Nrayv2GADalCftDMhkMqyt\nrdm1axehoaH079+fU6dOiSkrvr6+Gp+ScbfI5XK+/vprwsPDsbOzEydu9STu6uraqZ4BLS0tTExM\n2LVrF5MnT8bc3Jxdu3ahUCiIjIykX79+4gJH01P47oauHNVoD319fTw9PTvVvr07Qd0pfvTo0djY\n2KBSqbCxscHR0bHNcZ39nTA0NBR7KwGsXLkSXV1dhgwZgkKhEEvrdnbDz83NDUdHRy5fvsyuXbsY\nOHAgb7/9dqeKZNwOdSnl+Ph4LCwscHR0pE+fPgQHBxMcHIyzs3NHi/jA8fDwYNOmTfj6+gLw1ltv\n4ebmxrBhwzr9ONAerefKwsJCxo4di5WVlcY6xrpUhAdg48aN/PDDD8TExHS0KA+FuLg4Dh06xIcf\nfkhlZWWniV78WcrKyjS6Nv7dIggCP/zwA+Xl5bz66qtkZ2dja2srRjI7+yLmVnTVqIbE7wiCwDPP\nPMNbb72lUWkZ95va2loWLVpEWVkZJSUleHt7M23aNJRKZUeL1mF05kjWH7F9+3b27dvHxx9/3NGi\ndAgbN25kzpw5hIeHM2rUKMaMGdPRInUonWmu7HIGz/Xr1/nll18YN25cl/Bo19bWkpiYyODBgzu9\nrndDV5rQiouL2bhxI88///xNER0Jia5MV3OA3Iri4mJSU1Oxt7cnMDAQ6LrOkK5OV18zXL9+nU2b\nNjFx4kSNX+BLtKXLGTwSEhISEhKtkRwAbZGMHQkJic6GZPBISHQRpEWdhISEhISERFdEcuFISHQR\nJGNHQkJCQkJCoisiGTwSEhISEhISEhISEp0WyeCRkJCQkJCQkJCQkOi0SAaPhISEhISEhISEhESn\nRTJ4JCQkJCQkJCQkJCQ6LZLBIyEhISEhISEhISHRaZEMHgkJCQkJCQkJCQmJTsv/B2NW/NMdaR3H\nAAAAAElFTkSuQmCC\n",
    376       "text/plain": [
    377        "<matplotlib.figure.Figure at 0x7fd9c8cb3a50>"
    378       ]
    379      },
    380      "metadata": {},
    381      "output_type": "display_data"
    382     }
    383    ],
    384    "source": [
    385     "plot_daily_turnover(res)\n",
    386     "print_daily_turnover_stats(res)"
    387    ]
    388   },
    389   {
    390    "cell_type": "markdown",
    391    "metadata": {
    392     "collapsed": true
    393    },
    394    "source": [
    395     "#### Smoothing\n",
    396     "\n",
    397     "A good way to reduce turnover is through smoothing functions. Smoothing is the process of taking noisy data and aggregating it in order to analyze its underlying trends. When applied to universe selection, a good smoothing function prevents equities at the universe boundary from entering and exiting frequently.\n",
    398     "\n",
    399     "One example of a potential smoothing function is a filter that finds equities that have passed the Lectures500 criteria for 16 or more days out of the past 21 days. We will call this filter `AtLeast16`. This aggregation many days of data lends a certain degree of flexibility to the edges of our universe. If, for example, Equity XYZ is very close to the boundary for inclusion, in a given month, it may flit in and out of the Lectures500 day after day. However, with the `AtLeast16` filter, Equity XYZ is allowed to enter and exit the daily universe a maximum of 5 times before it is excluded from the smoothed universe.\n",
    400     "\n",
    401     "Let's apply a smoothing function to our universe and see its effect on turnover."
    402    ]
    403   },
    404   {
    405    "cell_type": "code",
    406    "execution_count": 8,
    407    "metadata": {
    408     "collapsed": false
    409    },
    410    "outputs": [
    411     {
    412      "name": "stdout",
    413      "output_type": "stream",
    414      "text": [
    415       "      Lectures500 Smoothed\n",
    416       "mean              1.190476\n",
    417       "std               2.145000\n",
    418       "25%               0.000000\n",
    419       "50%               0.000000\n",
    420       "75%               1.000000\n",
    421       "min               0.000000\n",
    422       "max              17.000000\n"
    423      ]
    424     },
    425     {
    426      "data": {
    427       "image/png": 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YEjM8bjbxGAYbj6J+DC0AAKC4ZE3V3HrrrWrVqpW6deumBQsWqE+fPrrtttvc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\n8AiCIAiCIAiCoFr/Abxdss238GsCAAAAAElFTkSuQmCC\n",
    428       "text/plain": [
    429        "<matplotlib.figure.Figure at 0x7fd9c9932a90>"
    430       ]
    431      },
    432      "metadata": {},
    433      "output_type": "display_data"
    434     }
    435    ],
    436    "source": [
    437     "from quantopian.pipeline.filters import AtLeastN\n",
    438     "\n",
    439     "Lectures500 = AtLeastN(inputs=[Lectures500],\n",
    440     "                       window_length=21,\n",
    441     "                       N=16,)\n",
    442     "\n",
    443     "res_smoothed = run_pipeline(Pipeline(columns={'Lectures500 Smoothed' : Lectures500}), \n",
    444     "                            '2015-01-01',\n",
    445     "                            '2016-01-01')\n",
    446     "res_smoothed = res_smoothed.unstack().fillna(False)\n",
    447     "\n",
    448     "plot_daily_turnover(res_smoothed)\n",
    449     "print_daily_turnover_stats(res_smoothed)"
    450    ]
    451   },
    452   {
    453    "cell_type": "markdown",
    454    "metadata": {},
    455    "source": [
    456     "Looking at the metrics, we can see that the smoothed universe has a lower turnover than the original Lectures500. Since this is a good characteristic, we will add this logic to the universe.\n",
    457     "\n",
    458     "NB: Smoothing can also be accomplished by downsampling."
    459    ]
    460   },
    461   {
    462    "cell_type": "markdown",
    463    "metadata": {},
    464    "source": [
    465     "##QTradableStocksUS\n",
    466     "\n",
    467     "Although the Lectures500 is a decent universe, we highly recommend that you use the QTradableStocksUS when designing your algorithms.\n",
    468     "\n",
    469     "The QTradableStocksUS is defined using the following limits:\n",
    470     "\n",
    471     "* Market cap: over \\$500M: This restriction eliminates many undiversifiable risks like low liquidity and difficulty in shorting.\n",
    472     "* Dollar volume: It is important that stocks in our universe be relatively easy to trade when entering and exiting positions. The QTradableStocksUS manages that by including only stocks that have median daily dollar volume of \\$2.5m or more over the trailing 200 days.\n",
    473     "* Prior day's close: If a stock's price is lower than \\$5, the bid-ask spread becomes larger relative to the price, and the transaction cost becomes too high.\n",
    474     "200 days of price and volume: If a stock has missing data for the previous 200 days, the company is excluded. This targets stocks with trading halts, IPOs, and other situations that make them harder to assess.\n",
    475     "* Primary/Common share: The QTradableStocksUS chooses a single share class for each company. The criteria is to find the common share with the most dollar volume.\n",
    476     "ADRs, Limited Partnerships: QTradableStocksUS excludes ADRs and LPs.\n",
    477     "    \n",
    478     "and can be implemented in a single line of code.\n",
    479     "\n",
    480     "For more information about the QTradableStocksUS, check out [this link][1].\n",
    481     "\n",
    482     "\n",
    483     "\n",
    484     "[1]: https://www.quantopian.com/posts/working-on-our-best-universe-yet-qtradablestocksus"
    485    ]
    486   },
    487   {
    488    "cell_type": "markdown",
    489    "metadata": {
    490     "collapsed": true
    491    },
    492    "source": [
    493     "*This presentation is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation for any security; nor does it constitute an offer to provide investment advisory or other services by Quantopian, Inc. (\"Quantopian\"). Nothing contained herein constitutes investment advice or offers any opinion with respect to the suitability of any security, and any views expressed herein should not be taken as advice to buy, sell, or hold any security or as an endorsement of any security or company.  In preparing the information contained herein, Quantopian, Inc. has not taken into account the investment needs, objectives, and financial circumstances of any particular investor. Any views expressed and data illustrated herein were prepared based upon information, believed to be reliable, available to Quantopian, Inc. at the time of publication. Quantopian makes no guarantees as to their accuracy or completeness. All information is subject to change and may quickly become unreliable for various reasons, including changes in market conditions or economic circumstances.*"
    494    ]
    495   }
    496  ],
    497  "metadata": {
    498   "kernelspec": {
    499    "display_name": "Python 2",
    500    "language": "python",
    501    "name": "python2"
    502   },
    503   "language_info": {
    504    "codemirror_mode": {
    505     "name": "ipython",
    506     "version": 2
    507    },
    508    "file_extension": ".py",
    509    "mimetype": "text/x-python",
    510    "name": "python",
    511    "nbconvert_exporter": "python",
    512    "pygments_lexer": "ipython2",
    513    "version": "2.7.12"
    514   }
    515  },
    516  "nbformat": 4,
    517  "nbformat_minor": 0
    518 }