{
 "metadata": {
  "name": "Intro_Pandas_Movies"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "A Short Intro to Pandas"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A notebook created by Wes McKinney (@wesmckinn) and modified by Lynn Cherny (@arnicas) for the Python Data Science Afternoon, 12/2/12"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/pandas_goals.png')\n",
      "# From Python for Data Analysis (Wes McKinney), page 111:"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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m0RtibeJdEr2SD6VGpadkXsi+lHsh/1xhWnFS6anymMqw6kO1XvUujTv7bmjWa1VoF+rk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p4aXp6CHTMEGAJXHIHF3AZ0qWW1jx86cuTQrursBO8y1VS8dXwYNeilLlEQOOf97smNra1GYq5o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\nqk44OM6Fz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       "prompt_number": 6,
       "text": [
        "<IPython.core.display.Image at 0x44b4190>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import pandas as pd\n",
      "import os\n",
      "pd.set_printoptions(notebook_repr_html=True) # your choice- will format prettily for html in nb."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Defining a trivial data frame, by hand, from an example by @fonnesbeck\n",
      "\n",
      "df = pd.DataFrame({'A' : ['one', 'one', 'two', 'three'] * 6,\n",
      "                'B' : ['A', 'B', 'C'] * 8,\n",
      "                'C' : ['foo', 'foo', 'foo', 'bar', 'bar', 'bar'] * 4,\n",
      "                'D' : np.random.randn(24),\n",
      "                'E' : np.random.randn(24),\n",
      "                'F' : pd.DateRange(start='4/1/2012', periods=24)})\n",
      "\n",
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/pandas/core/daterange.py:21: FutureWarning: DateRange is deprecated, use DatetimeIndex instead\n",
        "  FutureWarning)\n"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>A</th>\n",
        "      <th>B</th>\n",
        "      <th>C</th>\n",
        "      <th>D</th>\n",
        "      <th>E</th>\n",
        "      <th>F</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>0 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> A</td>\n",
        "      <td> foo</td>\n",
        "      <td>-0.298035</td>\n",
        "      <td> 0.895074</td>\n",
        "      <td>2012-04-02 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> B</td>\n",
        "      <td> foo</td>\n",
        "      <td> 0.227347</td>\n",
        "      <td>-0.465783</td>\n",
        "      <td>2012-04-03 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>2 </strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> C</td>\n",
        "      <td> foo</td>\n",
        "      <td> 0.314661</td>\n",
        "      <td> 1.285555</td>\n",
        "      <td>2012-04-04 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>3 </strong></td>\n",
        "      <td> three</td>\n",
        "      <td> A</td>\n",
        "      <td> bar</td>\n",
        "      <td> 1.287470</td>\n",
        "      <td>-0.151542</td>\n",
        "      <td>2012-04-05 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>4 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> B</td>\n",
        "      <td> bar</td>\n",
        "      <td> 0.779750</td>\n",
        "      <td> 0.170240</td>\n",
        "      <td>2012-04-06 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>5 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> C</td>\n",
        "      <td> bar</td>\n",
        "      <td>-0.230199</td>\n",
        "      <td> 2.008694</td>\n",
        "      <td>2012-04-09 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>6 </strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> A</td>\n",
        "      <td> foo</td>\n",
        "      <td>-0.866977</td>\n",
        "      <td> 0.157307</td>\n",
        "      <td>2012-04-10 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>7 </strong></td>\n",
        "      <td> three</td>\n",
        "      <td> B</td>\n",
        "      <td> foo</td>\n",
        "      <td>-1.538491</td>\n",
        "      <td> 2.029785</td>\n",
        "      <td>2012-04-11 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>8 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> C</td>\n",
        "      <td> foo</td>\n",
        "      <td>-1.844552</td>\n",
        "      <td>-0.512606</td>\n",
        "      <td>2012-04-12 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>9 </strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> A</td>\n",
        "      <td> bar</td>\n",
        "      <td> 0.668057</td>\n",
        "      <td> 0.434789</td>\n",
        "      <td>2012-04-13 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>10</strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> B</td>\n",
        "      <td> bar</td>\n",
        "      <td> 1.751206</td>\n",
        "      <td> 1.700019</td>\n",
        "      <td>2012-04-16 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>11</strong></td>\n",
        "      <td> three</td>\n",
        "      <td> C</td>\n",
        "      <td> bar</td>\n",
        "      <td> 0.081031</td>\n",
        "      <td>-0.730185</td>\n",
        "      <td>2012-04-17 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>12</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> A</td>\n",
        "      <td> foo</td>\n",
        "      <td> 1.240262</td>\n",
        "      <td> 0.370668</td>\n",
        "      <td>2012-04-18 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>13</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> B</td>\n",
        "      <td> foo</td>\n",
        "      <td> 0.037507</td>\n",
        "      <td> 0.233086</td>\n",
        "      <td>2012-04-19 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>14</strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> C</td>\n",
        "      <td> foo</td>\n",
        "      <td> 1.347206</td>\n",
        "      <td>-0.626061</td>\n",
        "      <td>2012-04-20 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>15</strong></td>\n",
        "      <td> three</td>\n",
        "      <td> A</td>\n",
        "      <td> bar</td>\n",
        "      <td> 2.156120</td>\n",
        "      <td> 0.572495</td>\n",
        "      <td>2012-04-23 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>16</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> B</td>\n",
        "      <td> bar</td>\n",
        "      <td> 0.107094</td>\n",
        "      <td>-0.973417</td>\n",
        "      <td>2012-04-24 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>17</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> C</td>\n",
        "      <td> bar</td>\n",
        "      <td> 0.108058</td>\n",
        "      <td>-0.003237</td>\n",
        "      <td>2012-04-25 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>18</strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> A</td>\n",
        "      <td> foo</td>\n",
        "      <td>-0.277029</td>\n",
        "      <td> 1.734459</td>\n",
        "      <td>2012-04-26 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>19</strong></td>\n",
        "      <td> three</td>\n",
        "      <td> B</td>\n",
        "      <td> foo</td>\n",
        "      <td>-0.308738</td>\n",
        "      <td>-0.783287</td>\n",
        "      <td>2012-04-27 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>20</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> C</td>\n",
        "      <td> foo</td>\n",
        "      <td> 0.511415</td>\n",
        "      <td>-1.202979</td>\n",
        "      <td>2012-04-30 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>21</strong></td>\n",
        "      <td>   one</td>\n",
        "      <td> A</td>\n",
        "      <td> bar</td>\n",
        "      <td>-2.074412</td>\n",
        "      <td> 0.247890</td>\n",
        "      <td>2012-05-01 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>22</strong></td>\n",
        "      <td>   two</td>\n",
        "      <td> B</td>\n",
        "      <td> bar</td>\n",
        "      <td> 1.328055</td>\n",
        "      <td> 1.598737</td>\n",
        "      <td>2012-05-02 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>23</strong></td>\n",
        "      <td> three</td>\n",
        "      <td> C</td>\n",
        "      <td> bar</td>\n",
        "      <td>-0.693149</td>\n",
        "      <td>-1.587220</td>\n",
        "      <td>2012-05-03 00:00:00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "        A  B    C         D         E                   F\n",
        "0     one  A  foo -0.298035  0.895074 2012-04-02 00:00:00\n",
        "1     one  B  foo  0.227347 -0.465783 2012-04-03 00:00:00\n",
        "2     two  C  foo  0.314661  1.285555 2012-04-04 00:00:00\n",
        "3   three  A  bar  1.287470 -0.151542 2012-04-05 00:00:00\n",
        "4     one  B  bar  0.779750  0.170240 2012-04-06 00:00:00\n",
        "5     one  C  bar -0.230199  2.008694 2012-04-09 00:00:00\n",
        "6     two  A  foo -0.866977  0.157307 2012-04-10 00:00:00\n",
        "7   three  B  foo -1.538491  2.029785 2012-04-11 00:00:00\n",
        "8     one  C  foo -1.844552 -0.512606 2012-04-12 00:00:00\n",
        "9     one  A  bar  0.668057  0.434789 2012-04-13 00:00:00\n",
        "10    two  B  bar  1.751206  1.700019 2012-04-16 00:00:00\n",
        "11  three  C  bar  0.081031 -0.730185 2012-04-17 00:00:00\n",
        "12    one  A  foo  1.240262  0.370668 2012-04-18 00:00:00\n",
        "13    one  B  foo  0.037507  0.233086 2012-04-19 00:00:00\n",
        "14    two  C  foo  1.347206 -0.626061 2012-04-20 00:00:00\n",
        "15  three  A  bar  2.156120  0.572495 2012-04-23 00:00:00\n",
        "16    one  B  bar  0.107094 -0.973417 2012-04-24 00:00:00\n",
        "17    one  C  bar  0.108058 -0.003237 2012-04-25 00:00:00\n",
        "18    two  A  foo -0.277029  1.734459 2012-04-26 00:00:00\n",
        "19  three  B  foo -0.308738 -0.783287 2012-04-27 00:00:00\n",
        "20    one  C  foo  0.511415 -1.202979 2012-04-30 00:00:00\n",
        "21    one  A  bar -2.074412  0.247890 2012-05-01 00:00:00\n",
        "22    two  B  bar  1.328055  1.598737 2012-05-02 00:00:00\n",
        "23  three  C  bar -0.693149 -1.587220 2012-05-03 00:00:00"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Let's read in some real data (movie lens data, a data set of ratings, from http://www.grouplens.org/node/73"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "base_dir = 'moviedata'\n",
      "\n",
      "unames = ['user_id', 'gender', 'age', 'occupation', 'zip']\n",
      "users = pd.read_table(os.path.join(base_dir, 'users.dat'), sep='::', \n",
      "                      header=None, names=unames)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 6040 entries, 0 to 6039\n",
        "Data columns:\n",
        "user_id       6040  non-null values\n",
        "gender        6040  non-null values\n",
        "age           6040  non-null values\n",
        "occupation    6040  non-null values\n",
        "zip           6040  non-null values\n",
        "dtypes: int64(3), object(2)"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/read_csv.png')\n",
      "# From Python for Data Analysis (Wes McKinney), chapter 6:"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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m0RtibeJdEr2SD6VGpadkXsi+lHsh/1xhWnFS6anymMqw6kO1XvUujTv7bmjWa1VoF+rk\n6qbpxegHGBww3G+kYyxnwmtKawbMls2fW/Ra1u0/Y3XY2svG1FbWjs0esl90GHW841TpnOsS7+rj\nZuW+74DIQQYPyOOz5wxxwKuFVOl9xifdN8Uv1T+NnBaQGpgWlBqcFpIWmhqWeig1PDUiNTIlKjk6\nOSYpNinuSHzi4YSEhMTDR+KT4pJj4dmRm1aZ3n50POPjcWQme5Z8tkmO54mYkzm5FXltp56cfntm\n8xxdvsh5zQKbC76FCUWniisutl0aLnl9+VcZvpyvQrnSrOpgdTg8Q4quNtR21Y3Xv2tYv4Zv4m6W\nua57w/Ym6VZES3rr2duV8A7W0z5293XHh3tPOuu7srr97hv08PZs9k71Xe8/+YA8oP+Q6+HPR8OD\n1Y+ThhyHpZ6gnkyPNI1mjLmPyz1FP52ZaJrMmiI/M5+Wn+F5zvCC5iXDK75ZjTnP+TOvxxdE3+a8\nB4uZH/mXHn/OXLb5JvqDamX115e1Dxuftr7v+V8C9EDm0BTCDfEJGYhcRaWiWdFlGCXMI/hGu0VR\nhNPCzVIeo5KneoXPJuwjLFFfpLGlpaLtpTtJ78Egx4hiHGeqZI5lsWTlYV1he8heyhHLacUlyg1x\nT/Nc583lC+A3EhAQ2IbvUa3C+SKRotZiomKb4iMSlZJxUpbSfNJfZbpkT8l5ykvLryl0w/uDnTKr\n8oxKiSpRjV9tTr1E4+A+jn2Tmme0rLQJ2qM6hbokPUm97/p3DNINLYwYjWaMy+H9Qt50zazT/JiF\nlSUzfJ8osyJbS1v/sGmzTbIztKe0H3I45WjvxOI07XzJxctV1PWz2y335ANmB5kPvoHvAelEJy9J\nEoI07X3DJ8832M/cX4JMRf4U8CTwRlB+cEyIc6h6GEfY1qFX4V0R5ZEZUeRoyxi5WObYjbj5+IeH\nmxOKEo8eCUtyTzZNUU4VSKNPh9K/Hn2bsXBs8fjnzG9ZP7PXc7ZPInIxebhThNO0ZxjPspxjz+c+\nz1cgeEGkULxIqljuouIllRKNy1qlumXm5aSKlMqSqo7q6SurV5lrFets6oMbshqrr/U0zTZv3mC5\nqXDLqiWg9ejt0rb2OxPtXzvw94Q7dboOdB++f76nobev70X/jwGahzKPHAaPPu4YxjzxGOkfMx+f\nnyieipmOf171CjdX9+b8u5GPUV9yf+is1e36/68c2e6ZgFEGoFIbPhDgc8OuDIDydgCEVOHzoxIA\nawIA9moAYR8PoJetAHK58Pf5AQEUoIBzL2xACCjA2RJHODZPhWPJm2AEfIFoIDnIHoqHY8CH0AqC\nA6GHCECcQXQgPiBZkcbIGGQN8jmKFmWESoRjsmU4DvOHY68FjBDGH1OL+YJVwiZi+yhoKdwpaih+\n4UxwxbhvlKaUZZRbVK5UrXhWfDz+JcGAUEfNTJ1C/YXGg2aU1oj2Lp0yXRO9NH0DgwzDdUY1xm4m\nc6YpZj/mVZY8VnHWXjYvdgiepXocC5xZXLJcE9xJPKI8Y7xH+CT4nvEfF1AT+CB4UchGGCvcIRIt\nKiu6JFYj7ichIvFBsl4qQlpNBiEzKFsg5y2voIBUGFesUopXtlYRVtlWnVRrVj+pEbjPTFNcC6/1\nWXtMp1X3sl6mfqSBp6Glkb6xlomaqaKZnLmshayl3H55K2VrDRtdW1M7O3sPh2DHRKc850qXdtdJ\nt5UDzAfVPUieJ4kdXt+8RX1Ivpf9XpG5A0iB9cEgxC303iGp8MpI8ag7MS5xmPj7CXlHgpLdU93S\n/TLSj9dlvTjBmut4qujM6LnVAt5Cq+KMSz2lFOU2lWXVv67a1TU3MjUlXH99y6r1zh2xuxc6KbsT\nelb6jwzsDB4aGh0RGCM+zZ2se3Z75saLslfJc/avud+8elv43mpx52PdJ+cvqOWGb84/UCtNv4hr\njOsDm2nbunv7BwTnHKjgjAMvkAG6sPeDwTE4i9AF5iE0nBuwhfMANdAkAoOQg2P7bEQbYgnJg7RH\nZiN7kNsodVQMqgW1itZAJ6F7MQSMI6YM9rom9gR2lkKRIpNiDqeBu4Bbo3Sj7KQSocqlWsf746cI\nZoQOamXqRhpJmlpaKdpmOnW6Hnob+jmGCEYKxlImDdjbsXCE+YA1mk2IbYr9BIchxzbnHa54bg3u\nbZ4e3hw+R34B/q8C9wXzhQKF9UW4RNZFn4ndEb8kESNpJSUujZV+LzMg2yB3Vj5RgazopGSsrKYi\nrSqsxqvOqcG+j0OTR0tIW0pHRddAz17f1yDeMNcoz/isSYHpJbNq8yaLDsvB/S+svtqgbTntVOxt\nHMIc85yanSdcttxE3G0OJB1s9JgjMnmZk4563/PZ8NPwTyDfC0QFWQSfC5kLkz2UEj4WKQqfSDOx\nKnH58asJ7on3kySTC1IxaTHpHzOIx55l2meN5FifGM91yZs9TT6rmS9cwFCILFq7+K3kS+m38rUq\n1BWmq+J1Bg3e1441X7vxqoXutsmd9Lu9nVTd9j2X+l4NMD8yfOw/nDiSPpb01H9S/xlheuB51EvG\nV2VzgvNFb7ALvm873hMW7T6c+zj0CfVZ+YvXcs7Xa9/Gv39fof8p9ct4lbh2eP30Rs3mva2J7Q97\n/kfAq58e8MFr3wzOc6aCMjhrtAQxQbpQGFQGTcA5Hm1EFKIe8R4pjPRBXkEuoRRQCagHaGa0L/o2\nhhrjg7mH5cDGw3dOLYoKHAF3GPeZkkT5nMqZahLvhp8nBBM2qfNoxGj6aMl0dHR36UMZhBnmGMuY\n/JjlmbdYulmz2BzYhdhXOYY4a7iOcZN5rHhV+YT5WQTwghghpDBahFKUUYxPXEHCXJIslSldLzMu\nuykvrGCjeESpVvmZKoWairqPxrl9vZor2sI6zrrZep36Pw0ljfyNr5p8MlMwT7QY2M9qFWDdYcto\nF2zf7yjolOo856rvVnkAdzDUY4Ko5VXjzeyT5vvd34fcH8gXlBg8E7ovrDQcGxEaORNtGtMWJxVf\nnsCRmJ/EkHwmlSmt8Ch/Rt1xlcy+bMecDyeT89hONZ/RPXsnX+l88wXZwuvFyhfbS/QvPy5zLV+s\njK8mXCm/qlE7UR/RSH/terPT9e2bVS3WrVtt9e0HO+jvDXSl3t/X86Ov7kHQQ+VB6PHQ8MUR8pjC\n+MpEw9SBadRM8QvhlxWzLHMx84NvWBes36a9q3x/b/HRh+GPD5bufir9nPHFeVl0+cfXpm8h34W+\nP/lxeEVw5e5Px5/Lv1JWcaun1tjXitbp17M2oI24jYVNy82bW1xbR7cWt3W3C7e/71juVO36P8JX\nQX739AAQXg9OP77c2fkuDAD2NABbp3Z2Nsp2drbK4WDjOQCdQX/977LLjIFz9cX9u6ivpyV59/vv\n578A2lzCmzpowJ8AAEAASURBVHgB7L0NfFvFlTc83rUSO8H5hBDi0gQI2YQ21yXZbrI0TSuFpcnS\nVu7yuURuSbuVeWlL7H3eNpW30F25SypnWyLDQ+XkSeU2kQvItMjAKy+t7K0MqUwqt7kukQApkUKl\ngkQkIhGkcMWj98zce6V79WE7jhLbYebnn3TvzJkz5/zPmTl3Zq41VdlsFtFEEaAIUAQoAhSBmYPA\nX80cUamkFAGKAEWAIkARwAjQ0EX9gCJAEaAIUARmGAI0dM0wg1FxKQIUAYoARYCGLuoDFAGKAEWA\nIjDDEKCha4YZjIpLEaAIUAQoAjR0UR+gCFAEKAIUgRmGAA1dM8xgVFyKAEWAIkARoKGL+gBFgCJA\nEaAIzDAEaOiaYQaj4lIEKAIUAYoADV3UBygCFAGKAEVghiFAQ9cMMxgVlyJAEaAIUARo6KI+QBGg\nCFAEKAIzDIHJhK5MMh6Nk5TEib+MxpOlVE/3tzdVVVV1jUpKM/52VVWVqiteqkLJvHg4GE1miovS\n0aB31BsuVVRMPImctL8PJG3sHJlE3fGrJMMg+/hk5SnOSzywQmOBFQRjdXslxirTenCgswHsquoa\nn7QMB5pNEaAIUAQmjcBkQtdvHlq0ZNFt39V/97Z5OD2g1z9wG+T8pFQoqtn6TS2DlJ9YUZcXsfq6\nO76sRvV1tfmscleZ0b4OVUPjY88eSRRGrsxAe2PtXd/7rmZN/TxFrz9djsX55Ndcd8u/aBCaN+d8\nmJSrO2rexnR5y5VOJP+8xKu+7p47NWie1Ao1W+/bgZCSqZcYq6Qc0f4VW070cdmU7SvjkZasL8+M\nDjRUNXsviAHlDdE7igBF4FJBYBKhK/7uNdZYdqDrka79ZjXS2A4+8sjBgYTVeG1JTJJ//gOLtl4r\nH+HCr9mUm9bWlKyQz0z3ta7XDH7kSfczDzbfft3C6nwJQhn/U52p+7IDB585GjEw6PHnj0lLK3fN\nvc2im5j6yjHMcfI/tpO1tmzO3U/qYmzxkr1t7SPlp0VhP6tUyayQfONPCG29Rm6sYsFGf9GhNjUv\nr0Y1dePZsLiykCORrW55u+2r9ZPmVLaJi14QH25v76Mh+KLjThv8UCIA53VNNqUsasQY3cXVIwGf\nLxCIJDgo8kB40zmz2VTA4wmRnGw2ZkDI4E6IFXGRL5S7FbLdRiVqcYg0Y3ynzEqksfjGoIgEAqls\nlosFAjH4xilGmhRuSI5UZpKRTYRCPtbGIMYZ4zNKfyagZiAksEpEQJVICiuOVQ6EyBUXi8T4rByL\nmFOPGBPWmYgF3yCkAA/BqgCQSYiXCjlgCuWM5LVMxUJgmFCEhzphRMjIprKpkMeD8YHkMSmRToJ5\nIuRhPaI6hCLLcVwIzKdzhvA9KC8aLpXIiQ9AR/hSXyAiUZwLAVSkdZlsXEwUCSpxADoryoOZpMpx\nw4V8kuuFkQR18uZOhFiWDYRiqVQihmVMhXyivVIJ0VZQCZsZZPGFeHsDmU/0F9yOzGdKSMV5rFqk\ntoh+nAr4PLyyvJD0kyJAEaggAug8eEVgCNM7ySCV45Ly6JVKrV7HwKhpgqjG2VuUGoOxRaPRapQI\naWCozKbcylw8iLm1jBrK4bHB6ssPstmYEzgY7A6b2WS2jhk7Um411A1IRsicMHDBhcwtwEltc5ih\nCbXZA83bdGqN3qjFErKYtlBmyIqYtYyyxaCHxU6kK8cbyCwtGm0LLCkyzkQ24jIp1VpcQ2NNBRyQ\nC6GBDIc+uNa7pAEQh1udIyKQKfVWIyjBuGDYKwZkUuJxITsIghi1RmvwYFw5p1Gj1OqweMiARUmx\nGqQ0mvVqtVYNmS12WP+zapDWFoBCSCGnkVHrjHqwmiFvYy5kIooxau3/eeJRzEzvIuRYR7BCyIVx\nBqBZlwlfICVWCpoPOLQgC2iJjBGJbMNHrJgJIEaIDEqkNVktBqDTA+zluJEW+Q+5XkXmBi0ABZPV\nir0AoQeeeJZcqLEfZrNOHTx7sQEH0CCktbKYGF+xEQ/2YNBcsJrMZ0pK5bFiH0aMUmuwp1KsTq1u\naQHoiE0l4tJLigBFoCIInEfowhEImVjxKROLE4ChwIJHyoQehig8r4rxowIeDlNOvienPDC66chD\newTILFDmwcOcQ/KA7rFAZEEwpLtddnzVYisTmrJ2GDF0MOyWTqmA2+W24wGTMfjIIzdrUiuNLIzM\nUE9rhblascx4NgljL3BMuMS5UQn2CUtuoOeg/YSRQUYPFiSWSMV8Hrcd6hoJOoEWpHaTsVJgE7LB\naA20IJ3LDg8ASGNywaQAYmERIJMWL+vSM0qTh2/RZQStcYxhYXUVT4IhloAMQuDhWJABomxIh5CZ\nPEBwASvAChHLDfQMCcCC6IAcFOljEPpcTpMWafDTQDbmAg4tPi7rcbttOPAgpc4WicDzBwldMZca\n5n8kdmOosnnZIh43PFuQRwrOphUfJrIJYAfz8tLccpIAH7leRebG83v+oQGrqHNCc04rjlfYLikW\nBDWxEVDEiiM0UhscIY8FLhikcYYi8Hgh1JX7TBmpwMrIStzaBw6kseMWYoWzbYns9JIiQBGYPAKT\nD10pH3Ry4Zmab581qtVmsnAXg6Uqss5GwpswJYrgTHgGD9l1SIuDTcgBQyVjMLSotQZXgAzyoiJ4\ntVB4nIcRBsKfIZZw6zTw3K6Bx1kHvw4HIQ+ih9Iknc6IDCTfATwYmWFYhURGK43eADMAsxNnFcsc\ngaU8fl4CT+UQfQwlVkQJJ5AKRvBc4hx6/KBu4lfScFNAgIfIFGtitLLQC/GAMfCTlSyLo7aajHgl\nAJm0eHwUNJIHCw4sJQTRBKwI8vMqoqaen075AEYgSLgg0pAQi6MIUuv0WnWLyS5ZccTK4iiltkCY\n5cO/Cc9fIpLHCw6mbvBUAMik3DgAwQVMbnJBFNcjEZqXDYd8AA0ed3DrjIvwhUZI6IKqJbgRDvij\npF5Zqbk5D8hiw0riBwvwG7iCiA5rBXDhBjsjfvrFWbDpdNA4sRoysNg9cSiCpccinykpFYfb1fJe\nFnNjo2oMdplPQ5M0UQQoAhVCYPKhK/egLUqCn9n5KGXDgxces1J4OiU8s/tgSCPP76wRBm4WauH4\npDTK9hNEXnhwF3fR+NAVibB2u8OJk5ufnvlgiUY9XtyCWRXsQCjN/JCYwOFEY/fwIzY0VkJmEldI\nuMKDKYxyoEeJ5DHxe3jSopTDiDU3kxU60pYJVuGMSrUj1yCQ8+OpEH3zsQRKigCZvHhZ/KDAxyEI\nzwAmBjzmwCGGtxGoSeY6kJ0wwSzD6iMCGwlQIRjVtWaXuHkFNPnEGpU8NzIz0+B5qwVPWVrsfPz1\nQRv81A3UIZQ4OJEpuMhEIhuJWGoPuAp+EtLzLIAlMDF5YOQv5iYywY8dJfSSmhtI3RCylBCDlUod\nvFsECa9yGyA+x+wgMzgGfqLh8PQrBwv/zITjIpl3FvkMVCghlQ/cTGMlz0e4GVhUBOfJPaDgLJoo\nAhSByiHwV7gDTyr9ebgfMavrc+/9Jd94HjFXzskE+9vUhyBAIHvvwPE/jTCGTQsRio90rbwDYs/9\nC1H61SMsgw5393lR+hS6ftV1C2uguKOtJy4RY/61DHvgCP9y3P/8dKfStO2KK9Zu3ar6NE7rrqhG\n/t6mlXe87TJ+IeEP+kf7+Te7/AO93X2jGQkfeBXR89I+7f1Kyftrc65feQVC6f6Otr5jvmKZz9Qs\nZs9yCCW71RtZhGa/YesZ8MtY8jezETp1Bl9mgp2tHQO/7u4d5VQPHIT1zTdOpwR6JvJMx9ePfPmH\nKmhQTFHnzw8pzbcsI8BlAvZB5q5PLxcKCwApBekExUu+8XvE3LU0OdLZOfDaK+w181AmOrRjyz4Y\nrU+99NRQ8O0jFla1cSW0O9C+6b7Fps7br8MyMCd+1tXtfTcVQ+gja1bVVaPwcHd7j1cQD39lTrwy\nePuGj8BV/KQHKT/5dn/Hzt9uhKeSRW++0DsUzIT/sA/pbr0O8I7+5sCgara7d+gNID7NYbMkvb3t\n3SNS2d4ODLPMDX/q6Q3MWoqQm/8XiGDvw/uUpntW15XiFgQ+fDpRQq93C8x95vRipXLzN//3wMDD\nt4MfouTxfnj7Hx1u3eE06tXKhrNP9QzFg24bMmyBNyZR8kULa76nAQh9Q3akXfrrnoF3cWMSnwmm\nS0oV9uxDV18ZGu7u+e2vu7qHl22493/sGtbiSePqNFEEKAKVRmBSUTDlMJD9frIqwk9o4HkWJlGQ\nGL3NATMS2PRyR2BjCUj08NCr1gtzJXjGx2RaV4SD9xpIBYZhWpziO1+CPCkfrOswLUajTg27JgUL\nLymyIYHrikmP14IIZ2FlLKcWXnqy5F604DywCgSyAW+DHSYMJWTGkzmc1Ga7FaRHGqP09ZEc3wQv\ng1LJMBqbL4EfuqGORq1UG3j6BEteWNCSFxBy1chSGOy58Bnk0V5YtYOcIkDOQzw3THVA0RbA2Uc2\nDvG8yIEBVxsdKc4HSipb9DoNvERj4+eVCVKFwMLZyeInGEacrOQUiBkYpZ2IH3LgFTelDr+VQIAy\nwepaAObWZC+NTKegMYMvwTn53S8MlQlMwTfEy8Zf66wwKUzgVyk0BjO8s8PoycS1JLecJNkSehF4\n8+YmS74YB2WLzU2cAL+cAknLJhJ4URQpbZ4YfgmWX51OuGA9lSx5wyYfuCn2YZgly32mpFQpWHPF\n7PQ2eAkFLuD9GCWjtsh2gvOS0yuKAEXgPBGogvq4z1UkpePhZPWyK+pQOh5HC2E2BSmTSacy1XU1\nZJJBWpEUAmE0lqpeskz+T1uCMJloMPTenEXLgeEEUyaZzNRK24J6mXQa1UiazyTDkWTdkmUwpcCp\nlMzxcBgtWoZng9H4wisWZuL+3/0hiBQKUgF/wBviy9ZuXlkdj6SA8Ap+SpcE7VO1y5bhh3uS4FdH\nkrULC1RLh4OxRcuXibNAkC5TUyPeYXHkgExevL9bjDgQnmiZiYbjdVjOTDyeEQyDkUlKLZNJx5Pc\nwoUi2ABCpnbRFbwVRZVQelhV+8Kh7IPLeA0zmepqaCETjyahLZyXZyrJhClaOJxSgAg893Q0mhJk\nSyfjXO1CwRhAFoxxc5Yvh3k130BORBk3vhAaK9ZLYu50b+uGQ1e1P/71v/fbTZu3PwRv5XTdfl2O\nAKDm6q7ALWMjVPM+khE0woYQSrFScp8pqSNUSNXycAGSkVgq72OiuPSbIkARqBQCFQ1dlRJqmvFJ\n+/v1jzlrF9Xm5IIFtZtbvq1ang85uaKLf3HRxIMoExjc859/+eeDzWsvvprn3GJyuGqe1s0dXUfC\noLerYU1wX/bhDefMh1agCFAEph8CNHRNP5tMV4n6mqvU+7SeVNfqaRGyx4Up3tN62/aj9Ya7NqHg\nSP8bH/mvH+vwNilNFAGKwMxHgIaumW/Di6VBbqntYjVYgXZg0TaSTCmKVz4rwJuyoAhQBKYMARq6\npgx62jBFgCJAEaAITA6Byb8cP7n2aC2KAEWAIkARoAicJwI0dJ0ngLQ6RYAiQBGgCFxsBM551/rs\n2bPvvkv+TfNii0rbowhQBCgCFIFpjYBCoYBDHC+CiOccuj744IP333//IkhGm6AIUAQoAhQBikBJ\nBOiCYUlYaCZFgCJAEaAITF8EaOiavrahklEEKAIUAYpASQRo6CoJC82kCFAEKAIUgemLAA1d09c2\nVDKKAEWAIkARKIkADV0lYaGZFAGKAEWAIjB9EaCha/rahkpGEaAIUAQoAiURqHzoyqRPnzp16gw+\nWZCmsRDIpM+cegun88Eqc+b06fHqT4RmLEFpGUWAIkARmGYIVDx0pZ++f83atWt/xp6+mJpmzsy8\naOmxfGXtjThd/9EtB4ffmhRcZ37xlTVrrv9ZSaxPC0FxLJpJNUorUQQoAhSBKUag0qEr8+dj/Vil\n379y8iJq5tNev/bJkzNsolc9ax5a822H81dfX+PZ9SXdSMn4Mw6Icz9xx7e+9cjfzS8iC/zqW2tu\nvOc4zi9LU1SJZlAEKAIUgZmBwDn/msbYamXefHU/oegfPHamaW165EmD7d21C/44uuz+DnXdwd0P\n2d64/GNXo9SCm3d8zLfnWfTQI/dXDzz+0LOobY/2lKX9/zu7ckFg8KW3r/9G83pX1z733E+1/+Bb\na+ZXZ94a3qPb85vEtf/a/m+3Xh8/0PZ4ZMVV4YGX0Prt3/v25sPtD0O4DD54/9kdba23rhxbwulU\nmkDo8mtWbtDtbd//uQd/O/rWuk3Vzz9i+PFzx2/WtrXeta7mjO9gh7H7xWOf33Wg9ZYVpz0v/HjP\nvhcT6w3/77VP2XlUm++eVZP+y9tnMoEnAJOrFr7+kvtq9be//Y/oR994GjT9D+13drT921U8DUJ/\n/ecXHzH81H3m8h3f/rdb18wdPgCAf3RB4KWX3r66Ra/b9JGZcQzXdLIglYUiQBGYGgQqPOt683UW\nodsM37sN9bv/kkHhP/z3of0P7trzdOp99OIjX9m1H0KMe//+Q4deeuvdt37f//RAEo60JxeJD86+\nZt+//we7XnobHe5/dPuX7nXPnXf46T0P9noQ+vOeG7/0aOLaTfMOfX3L9zynky8dOvToD/acmRd/\n+tFvPHc08m7NXAzevMuXza9wJL4INvkAoZplf3MTQi+9Ghl5vPnre9ybNl31aOvnLaNnRn7WvGv/\nXz7/+U2z4Yj5P7+wZsu9gN8N19aER3Kovv+KZc/+geOZswSTPY8m0OH9u75k+WOydg2R/fKrIO4L\nNBnfQ39356PH5l6VwDCOnuEBf/A5DPj+O/c7Z9ik9SLYhjZBEaAITFcEKhy6Aq5H0dat//iPKoQO\nHX8zUz0LB5Wv7z/86D8r+h71oK9ben/61LcIFn+NP+eJoWaeAiFYP0Nr2n/208cfgYH8pkcOParX\nEMoznpceRehb3/hf//rNdoT+koDBHsrbHT99fA8Q/tGHmnQ7tyJ0b5v+rk0rSI2Z9jF38VUg8v99\n44kfHEZf/953HrgL4s4fj/mCHgjbV33my/9x/y0rXh98AtCx/KH30Y7W6+tEVJv+BoOGZlUTNAGT\n3kPPASbD4Xqt9jaEtrY/3LppRQ1Pc/b13x1C6Ht79zzSbkDo6ZePnyaAf68PAAf4XnnjzEyDjcpL\nEaAIfGgREGNHZQA4xf4GIY/524nDwO+V0OmrEYyHW2//7Ap0dvRtuFq5FLZeroWBEpbKSqaFs/Ag\nDMNx4n2Elq6/CZHdGrhGj26/EQIYJPdx/Lv182bBbKUWCP/ybgalM8Dv/dRZyCIkM+3jzKljCN0w\nOwMQof3br+eXXE998MP7H0FPt35+7dPtz/1+0cswYf3W9VfyqomoYnjzKYdJ4v0MR4oyAIncwnVw\nqwDsxLSwjkQ9uJ0lJxQJ6DdFgCJAEZh+CFR01nU6OOBBN932sbXrNTBveMkdzOs7u+5q2I56O4XQ\nB6ck2TCwVksG0jw9vhJXsMj3tywvnzz+OqSvrr0MygpiH8Sws5y89gy5g8XAgLMPpld/93GI6zBF\n7X6d6Nn3FWbumrvCo7+C2dODD9sXfwJmU6/H02NrBXNXPglYVAP3XMrgJwCkqK6mMSqHCb2gCFAE\nZiYClQxdZ07+AWZb6p0Ptur0996EDg+8ApFKSNVX3LAVefY8vPuRjh/AOI3eX/qJTyHUb378oNkK\n8wmcyMjKX8o+5350FQTC3/yyz/36n1566VXETxOk1B/gkfoHj/30Rd8pWc3pfjMPeXzP/urxm75x\nCF41vGXdxz4H89H9+55zHfvTSy9H/7ra88KvXgxytaDFvMuuvnY9wPUfuw88//zgW2WCdP/Lzz75\nuBnQ/NTHlxPV+5/4xYu59xbnfvTjAGP3wV88+av/hrXHa5fMlUI43aGi8lEEKAIUAQkClXwCP3ns\nj7Ao+ImrgGf1x7ZtRQ+OxhthV4Zf1Jqr1j/1Yv+djz4Xh9bXfOpvlixTwHzi0A92rbkJRlS8eYNn\nX/NKLVvN3/Czp9r/7s4Hv4Rfmvv2y6/fDF/XLqpFGRwZ8cXcZZ+7bU3/03u+/7efcaxcDJkzJIHW\n+7/xDXSTpv2H//a1K+H9lj3PHQt+vvXOz4P8jzj+OOvZb5D3BG96pPXma9bWdH/79Xv3PHh4/03/\n54ewNSZZKsTbXQTBp/e0Araa//3VDYvnrvjq1l39+3fd+SklflLAa7DzN3Tt/9bmr+8Cmm/tdyiv\nrH4SF4iJMBFv6DdFgCJAEZjWCFRls9lzEvC99947fTr3KH9OVQnxqeGvrv1Sov2/e7+2Ft4uPJOu\nnlszsfCZSacz1TXlidPp9FjF5y7pha+RyaQzmerqGvkSnlQRUBpJdC6LQXr0q9d+DrU/9/hXGAk3\nXLuAO/yERwbNrZmZe4IX3iK0BYoAReC8EJg1a9bixRdj/jCxsHFeugiVPQe/umWXsDZouOmjJLdm\n7sTH0PHiUs3MG4+LohYPikQRUFqKfVkMPsCbf/GzSBK3oF5BbcypumbuxTO5VHR6TRGgCFAEKofA\nxZt1nQ4M9w/96d33L/v4lq0bVhT//kPldPoQcsq89eKzh7mVNynXwrojTRQBigBFYGoQuGizrnMO\nXbCc9e67+PV0migCFAGKAEWAIiBFQKFQzJ9/MWYm5xy6pFLSa4oARYAiQBGgCFx8BCr5cvzFl562\nSBGgCFAEKAIfQgRo6PoQGp2qTBGgCFAEZjYCNHTNbPtR6SkCFAGKwIcQARq6PoRGpypTBCgCFIGZ\njQANXTPbflR6igBFgCLwIUSAhq4PodGpyhQBigBFYGYjQEPXzLYflZ4iQBGgCHwIEaChayqNnklG\n/f5gNCke73IBZcl4hwa80QvaUHKkv7e7d4BvJDw6NOSNXkCFClknRwaGL6x+0hbBcvEkn5GM8wZM\nx6PhcDAsHkyTiUcnb9jo6EBPd88o0ScT9wOUY1iugCAT9w6MSS/Vg1xfXOiKmqcZFIFJIDAloSsN\nPTzXFdP+ngZVlzAMTEKDGVslONChmLdk5coVSzY9TtSHH+OVKRPsa66aMDLjEaf6Nm+xHo/2NFY1\ndntlzZS7SY80VlX1BeUylSNGaKRTvX7bHY6XXfcqoNY7vczmzX3koNDyVSpZkjy2fstGLz5LYOKJ\nBzx9DpiIvJPsT5Ys+gk+BAElf7JoyV53PDmyb9GS+voV9Ytqqzr6/Sjp/uySJT9xExKx1gS/097u\nJcwWwzMDFo0CjJU60QNQjtFBRAJBkdSJvi1j0heKUQhdBvtd50ghGb2nCEwnBKYidKWP1q/Y5k4L\nMHCn32YH4TTfD1tK2lp3acxuLpuK/Y+2DmV6VIpOVgSFgLFo1a2GL9+Az+uaQBqPWDGfQbMV1avv\nNN7JLB6Tn7exSjUKAat6caPetGrRBH+tN33kwKDOmTj48PY7cK2/nq1Eyprc0ZdjNlhYKApQmD/m\nvUIBDZY9tbRE1RzgE8GkqL4CfhZZOMWAAAtneAKNMZHNuozqXbuejysU1wDFpAB467XfIcbkfsZ0\n51eIsRTwszrlT0yAZgUCUREiW5HE5TMIdHPzfla96lbjl29cWr4CCvY0Vam6J/pQMwYjWkQRmCwC\nlQ1d6TheRUn7vd5gVBiF8ZqY1+v1C9OsZDwef+sMg9g3QlEgFryfmZ1ORkdHvWKlyWoz0+pdfd01\n1ahm4cIaf9/u7YPIor+7o+9of2d7V09nc3N3uvYylOAyaX9na1t7e6tK1dQ14McqZoLdrY2qptbW\n1vYhcfqqKEcM1ZsbG5v1dhbVoMw7yfQsBYlGSW9Xa1NDQ9OvXna2NakaVI1dA0GU9nY03W9Dg8wt\nrUMn02dnz66tTfd3tnV0dTSpVM2d/fzscKSnXaVqhOZxFZL8fXvuY9HubzZ1PPMqqcVn409vX4eq\noaGtZwTbOuntbG2ERp9/2dHW3OkHH4EWWzv9bwv5/ceO5gUIZ9LBgVZVQ2NzVzCNwkPdgEtHMyje\nMTzSjwFo64b8wpQJ97Q1Naiaekf5GU8a6mEBer3hoS5ou7GpfTiclgD+Sg6T0V4QVdXWPQyiSppr\nHxlzIbLgsWv9LdsQC6d/Fx7kLZUz6R8A+UEvgoC/s62to70ZJAQakGyneh9iH/9G528iOWPxlUXV\n+rwl52AS46LZtSjZ09baMxJHpWrJBMCnuQ327sYO1kNAq71s3izyFCCzHRKQ/M5jP9m5/RAa3HFL\n+1hzQam+9JoiUHkE4LyuiqWEi0GIUQpCmlwRLmDFN0qSpTEnsgmzWqqCxg1ZrEmSpfNxFRNnmjNy\n6gEtZHaFQM6Yz6GFA6b1FjYUNhG0WizuuNuAkCGWcGPMtCaLHgr0QI0rMjqLCWogozvGq5koQ+zQ\ngUlyxCdN0KbBlc0G9FBZrbfa7N5XnWaLw2FpATu5YzGXzQjcjVaH5+Rv4cKVSBB5NBarEWqY2ARv\nL6MFZzNGN986L7/WaJXWUhrdCTfUUlrsFiCGui4Dg9Qmh93q8h/GOR6O8wCBtne3mB/8S16A8B81\nUGa2GpSIMbj5dnUWqw5qQl2rGb71LkH9bMoNsy5XAsCBBvUEHA2bgjkQUClNVquDjfjsZpvTaQQ0\ntbaIFHCCSU4vuNM7I/nmQE2MmCwlWBAbz7Gy2QTgZXDHcA4DOQkbBtKcwPLkrSOrzPnAchqjxQCS\ntNi5FLEv1CGekE34TKC2xuBw/f5RQTC+Lc4OnDVGGy5uCUi6iShMgjcuxlxpdtvB8Bo2UapWSQG0\nRpMO2tN6Ulk3mEnvKrRdDknXyyYtuIbW5pZKIVOR3lAELjQCqJIN8J1QZweeeMTEHT4VS5BOFnNA\nh4aRBScyyrhT5Bq6PgldMMplUxD5YKwU8j8EXzF+GNbZfAAKjDtGGGuzJFQQDIUhiQyCdhiiAxaC\nYQhDi+ELwVAGgyYPVBniAKZxAXEAhkuj+yQEHIgoXMgGA7IzD3XK5+aZZ7McCySwjikGAywPY2Sh\nACSE5twwVLc4oFEY4CCiiGbC8htAfiGE4FrQkBvGO60txYVgMNQ5QtgrNBZi+ZRFjTRWn8+qQVq7\nJD8vAOcDkdSuWMpj1YIEYRwtDFDXA6x1WACIXbnYKbYbIH4HVD4Y4EFfEFbniIhCZrlEyA6xizHG\n5IBjUbGITqB0wZOBwUXwNABCHqNSoqbASYwWcJsLXfknMDs0WD50kbpqDCjWSMPGcegy5GJwNstC\nixhwAUOxrRgG3hbgIg7cTWKJCEnQv0SCHL0gicEJcshrgT64x0G7MgEgytqAloMOiDspWA1Ultvu\nNSmSHhNgaCJ2FAChXxSBi4xAZRcM8SKJ8Z8/BQ/FeOnc8sc4qsmEnO2tTarbWskh8/h5mU8cJ16h\nswjp1OvqUM2125lr3s9lX/oXC29/eAC2Rnar/300zQEKaU54zUC5dIlce+USwPPK1TDEoHffeB62\nPhDAt2g1PCWXSFLiN4/iHRcgvnIdg9IicepNL0LbV9fh+7S3t6GqduX67WAgvDWTwYYRBcEEkBbj\n5jIgIUmLmasWwIWiRrpnhuUvrAY0s+ehfepaRb2FRW+8/uZNzXbloe21DW3edM2GOzWHfv2boZfY\nli8xkvy8AKnTsCxm0y6qXXPHPoaZR5rGB29CS8wCLADTqMyrRIrRu2+6BH3rN4G+Z/0DLFq6QDiu\nc7irSTGvftcBG1o8uxqzyQOOa9csZhbMhe858xczZOcKc4LmeM7FnyL4s4Ui4GcIRNzwrPCrX5N1\n3eIqfA5wZLZdj1AKQdXQexz0GuXNDQtz5LjFdFGzyROgy171CsWSLSzayP3JvISk28xsrqL8Qvn3\nH78CyWth+0IqEgAeiT4CzpCB/bnB4dfjPJXMdseOSJHEIo+BDF+fflIELiQCFQ5d0ClvXIFHxDnz\nlWjjVZnhziVrWq/+wr8derx9rMV/ZukirGSNbDC8kGpPH94bdvwvhFgYv7D+/C5UKeHykf6yq28F\nAgWMQqlImVFLQrx0Y2liGM0Pn8pAWfqX/3kHq4f5sU8NG2ti05h92XSKPZsjLEvEF3BnT8DSEzyO\nHc1mDzavq1m+dSDl07G7v/vE6PJP3YH23bdjL/ocs0Saz1fEAiggGGh/SZ7ljh6897JxmiLF1XPq\n4RtXTgYBHK4W+yKvS3pEe98hayB79JcmJL4WJAM8fUrSwngKQjn7SgQqZEIv4ob4qjVXXrGu2aTc\n99Sw+JRQ5iUX1vsWQrVEMF66vMkkQsgu65beAM+FeF4OqWvTpx8gF9mBB9bJyIQbtYYZ/P7+YSSv\nBc+HQioU4NQZUKFakUDo41cLQVRmu38hVXlZRR70myIwhQhUPHQhLp3JRIc7dg62fKnhjeEDSNuu\nUa32/hwWRYQxBHHcKTQYT6bT0XAcj54wCpBPxN/w15f8J/5nmmA03P+THyG08fJarPvA4WP8iyvS\nQbQIiLpVSrTzp8+NDj31EELzy0c7UnHRcgYdsB8Oj9qAWJh9IFR3zQYlsnU9NRKPRzm85f9+dHTI\nxhsIj8KDfw4Ij95FraPFKzaih3YPeId/sXNwcY5jMR3JIcSPDYWT8XAYVIP/YotytcshSJ5F1csb\ndJjmdmZZtTSfhAEsQN2KDQza9/SAH17hyf23VFE7QtAQ8muu36ZGO585EvU+vxseo1Y2qDVo54Nm\nfzQa/cu7eJKYiQ49/SRSwnRHBjiULF69kd110Bv3P7NzkLn28qKGkr3NqtY+YTpVu3QFQvueHwoG\n3S8cQszfXisO9wjVf3Irsv0pRhYZTkdC+J+9onEUHWqqahoioNZdcyOD9vaPhN0vgCRfviEXToqa\nlGcs4u0eTSel/1sip+HvziJl47+bTYO7dEPxErWKBZiH2H3PjgadzwwizTJx+iezXfXKPJLR9Jy6\nesRGQuJbVqVkoHkUgQuLQJmnwsk2Ch69ZQl+NoNt5t1bl6M17cxOtWIfUmphq+UtYZipu7ZVi7bV\nwxIYsvpSn4MvYe2lwsJMVomLUi8d6NqycR9uSm31/Nd11XWbWrU7d2zcdHqodR5iLp8jCMHAIFuQ\n6u42O55ZsYXZK65Y5cpLEd95yHIfs6V+FyaaDWt89YR64Qaz3bBi2/q9CD32xH+iuzcvgciG1Gdg\nPK+bD2/VqNd81hUxzyO0sObHJxAFJhPLv/gDs/bmLWvwdA4vYIqJL4U7aa3l//h9S8u2zfU4z+qL\nv//vK+HdNJhLufavga+N4BQf+ewylO6R5tcGBQESR5+06ddsWQmyq03swZsEP8ELWeKk5pr5IlDA\nDqeaf/qRTbkSq6O1sFuX1WR+7NIu2bjStlNpPNyiY9QryUqs8i6EFoqAH36QYLL8i983quvXLNqL\n1MbQ7dehUWhOAn468Pi+wX/5Dg8fql72jy6TduPmFTvhlQkLq4KVuTcF8equ/lsGtfrj/3wlQg9t\nW4NxZYzH950+hK428FFh4acPWVqY9cBKafPdXYOOEcnzH3Pm8QoqBGNhDiBJzd2HHI76LUvAZkpT\nYqBZFvIwgYT+1Nn6dXca0H0/eur1J4prlRLg0HYGLKO3+1ZXY9UhyW2Xaswj6X7hVjWD7lgzb34s\n+4AY6Ugd+kERuGgI8MsOlfkkW/TOCJeVvP6U5VKJRIkN3VQqJaWqjAAzjUsBCNw5YcKxMJPFr7eM\nm8rxxfnYCGCiAgtNRBB4t6L41buSskjbB5UFmpiTgRcs4YU2kvL5wq3oHaKQQq2JfGF9xOqYPt9+\ngaL5ApFtAYGYnSUvcOqFV2LEXNyOrCGxoOjb0QLhBt68yKdizPNlY12ByCKAY5EVlJWoVSQAJ4KG\n36DJWVYOkeSO43jnKWiJ3lIELg4ClZ/ozIL/npRyra6pkz0fCkG5pma8xaaLFr2nrqECEKonhom/\nt+3fRxZcfWyXDemMTClwCzQqx1fMBxNJLQa1a8r/C2wmPPCNXc9et+rtXbuRmYX9l/GT2A6mFFTO\n+FsXbWY1lrtXC25QAEVeAGnl8ZsiFIX65FnU1Mm8Ll8gci4gELNhmrfa6v77ghlGYTs56sKLtOKT\nlse/sFaaPeG60kpwDSIX2KqAoORtiVpFAlTz2Ax03L3dhsw/FCwrh0hyV10tg7JkszSTInDBEKjs\nXpeiHtXTrdwLZiyB8aKP37xpAVq6zepLPLx8EuPYecpXt/wfNl2DZm+C/5S6d+0EAmfp5qpX600B\n8z0zZfi7Yt0Xb193RWlVxs+t+fQ99/Dvc45PO9UUcz+yzQaWnSniTjVctP2pQqAKJndT1TZtlyJA\nEaAIUAQoApNAoLKzrkkIQKtQBCgCFAGKAEXg3BCgoevc8KLUFAGKAEWAIjDlCNDQNeUmoAJQBCgC\nFAGKwLkhQEPXueFFqSkCFAGKAEVgyhGgoWvKTUAFoAhQBCgCFIFzQ4CGrnPDi1JTBCgCFAGKwJQj\nQEPXlJuACkARoAhQBCgC54YADV3nhlfFqeG3VP1++Gla/Gu8Yx7GW/GWLw2GFLdJ2HFc0JIj/b3d\nvQMlHTI8OjTkjeZajfuHpbe5/ApdjCtqhdqhbGYaAjMvdI12Nao6R4pxTvt7qkhq6uJ/PlQgGe5q\nVrWNeRJ5JgjnuncMhHM8M8moP1j2p9NzZOd9kexrU82rX7FyZf3eIdf6LRu9qfNkmUl/qH58H9BK\nHqsEbpOHPdjXXKXqSk6ewVTUFEBL9zRWNXZ7iyUY6VSv33aH42XXvYqqvmCBSyV7mc2b+47nap14\neuNma/42l18ZZKbavjl16MV0Q2DmhS50NnFK/OFwKZo1y7+QSCWceoY9zUnyM2+M7Bvc7R1zcEkc\nHmQPnzyVq8X+ZMnKn7+Wu71AF8G+h9S7T1k9Mfh52G9/cjGcKozP55x8yvSoFJ1sKWgmz3Pa11Qo\nALdZUyfmolW3Gr58wwTtFuxpqlJ1F4SCScs+eW4CaNWr7zTeySxGyNtYpRrNi5U+cmBQ50wcfHj7\nHXrTqkWFPzU2GxDHZ3AKCU7mY2bnb8VsdE7I5GoVXhBRz69fFLKk95cGApUPXclo0Ov1BsWjuOBg\npLAfZwhjaiYZh6tk2Ov1C4d1iUCO9sLkR9XWPQydyN/X2dHd19nU2DUqCTppOPUpGHozF2PknKvr\n6mrqFsyHrphLmXg0/pnv+wKRB5bhvHQyCSy8/mg6Ew96ybwKxInGlz7uCxzU8L+Omkkm4++cZRgU\nj+MiofV0NDg66o3yd3B+FCRSFAXVJjk/Sw7u3as0mm9fvZD/SdV5aPDg7rZGVVPXQBBkDQ91NTY0\nNDa1D4cBr3R/Z3tXT2dzc/drsnys1FB3u6qh4f/57r9uH0QW/d0dfV6AvKetqUHV1IdDdr6uoEzS\n29kKvJv6/Wk5JUp6+5pVqub2jvb2njBU7GjrGYHZJ1y094MBC9m2dXR1NAF9Zz/POTrS29zY0NjW\nm5RRYuhxEjN7RwlPUSO+rtTi3j7whAZomwynmZGedpWqsbW1FZBJ+/vau4aAmb+vo6M/fxhxObgE\nlWF4zvGMj7Q1t49AQXgAWB5+HsvR0axqbO4CPFDa39nW1tHe3NZbCONQdxv4Zyv4pwRARe1lcEIn\nyJn0D7Q2Spi0trW3t6qwNQUhQfKdcOLL4I5b2vEagNTbCTrQcoFqYFmxRan8hHpcbsQxhOrHiffk\ndeTbQ5l3kulZ//d4R9P9NjTI3NI6FMZ4+/v23Mei3d9s6njm1bOzZ9eSsJxHT6gLX5lhEK+x6bv3\n8ce2yaSFYhEZcL9CP+F5SHnKzQdoertam8BF+46fLegXpK7MpSVIpvvawW6ALnbdPmzOaHdb2wDu\nQTRdcghU9gfqWTMcwYSUajjISevB507EzBrIgEgAuYYAB4dHGCUQ6nziAQ4J1gT5RosJKPXOiECm\nMXrEMz1ibnOuotroLubMK+I2KhkDlJKUcuPGoXkDPqg3m3DlzpfC8iClK5ZliXxwI5weIlbB5ZA0\nFhDQZ8NnIsIhUsDJ6klwARvhw2i1/LdRlJFvdWKfnAdkyx9ZknLDCSZIa7IYgKc+Ao3azTan0wi5\nWhvAZiJNtVjcXll+1mWEAqXJan3m+acBerXewoZidjhkXmO0maCFlgCXr8sfBOIyMHD+lcNudYWS\nMsqUD3MwmA0YNaUrkcDGwGCmwGZ6V0RGLLDVWKzYoCY2kfJZsAZGi9X2kk0mgACIUw9c9RYTNKJh\nU4VS5Sz+eycwVFrsFlAM2OYcA24ZwMttAJkAcBa0gPOXyTk7rkRZuHiVCfMcz1dBELXZ7QQOGmuU\nOKTOjB2X0TuBITYEUppdQam+r46CfyqtDrvF7pEAmOLliXEYOo3RYoDKLXYuIVpTD1LrQzwACZ9J\nyyBGa3MH4nJvF8rlqqU8+Rbl8hN3G49bUXUk1REmToJ9d//aZTOCWEarwxPBvTHmc4AuWqPVc/K3\nkA/YylsPgysqje4Ywc1oxT6iNLmlzUnViQmum/cTsVRmZbm3B8BA4MpWm90XEZEU+wWpnnceOZIn\n8XEtRjab9YAdNBZfNuUCTg7oTjRdcgigimoUA39Umz05nqRj60jXjYA7GtwxfiQyOGGVzAM9BHJ4\nYjeMIzonXLv0DDK4CJmGBD9SzvlgMGyx+eCGJcGpmLPARxq6SBZPjy/xMIesgQjEQLWNBS83QOwi\nBdD/cpJARr4K3JBjsSw+PAZiIVscuAbJhF4y+U6RwMLACIC5QSKy2eEuAAEAhhWcxyVCdohdjFHo\n/zo7zpXnw6ijE7pmCrQgB8DHILPFFuAiDjL0kH4u1oXqcM4WH5JhmJJSDvwOj5VuOG2NxcOKG0IX\nGaRw6ML4HJcS44FPyQ8THI8eC/dqHOkL2PK6gGLQrMEF5T4Ss08COZJIlbM4PHxAtE5xIewRjpAb\nt4oxB/DhoSSBZTMCF8FGYugCgnJw4bpynhEnxD+crBDYMUMcC0M28EdjjIQu4hhycHBAVfP+IgEw\ny8sTxkzUMGQS6DRsHBu3wJoghscE1jSB8AXeDkWQClQjAUNosUB+nn4cbji0CNWLdRRCF29fjoVv\nsLuYsCMZ2FTusUDe+mu8V2C76LBd4IkE20XSHM+HVwcCX4Gf8KVynniEyJkvErLBU4STdIGS/QKg\nyjlPAZI+qwaObo0FgAOEX3sMh3/8IEjTpYfAX2EbVywt3GDU2HasqVK19gz5MwgFjhxGaPc2/PYE\nPoaXnHBxFmLQXZ+GVbIV68jcR2i8ZjGzYC5cz5m/mEGwdH4WMZ+szy2zp94eQMq7b7kuJ2kpzrlC\n2YV04ws689/U15xVqnXKFe+f4A+0B2IOZJImaZVM5AQQbl+pAB3W72LRiZN4DSqFSYzmHZM+BgMp\n4IAYSDkN4Vq5BBZnrlwNox6k4a4mxbz6XQdsaPFsnki5FJ/wK8tPvz7AoqUL+JNDsBZpLoWSJyBz\nr3qFYskWFm3kdyH4uoQxuqnZrjy0vbahzfu2nBIYMI3XV6MMkpwOTOrg+/eCxWwXI8Ahw6OHa6vW\nYlFKCQCnCMMDcI0C6Os3McIpx1KpchbHhyDvU9cq6i0seuP1NxFazFy1ALjCCc9EltIfMlgIiZR5\nAc8rPn0bPAnB1PNzwpkxWOpF13wMPgHqBFLe3LCwQIv5n7jdpLFtXFTVPRLNA5gmLcEHqMVsux78\nAkMXeg9u5dbk6TjgTWhRobfz5bLPunX5Fgvknwg3aXVCL9NR1lIGiwuOIybSHST38tbfEsmgw2K7\nLJiPHbaoOZGKfEv9hC+Q83xTar7Mm17ocJJDV2T9IsdXsK8cyeU3bkO2lxz9g+qWFvVbTvsLLzL6\nz06+k+YaoxfTD4HKhi604YGDsYDbsvW97ZtX7h6KcmcTSGt9EZ7b8Xm83P3rFmIEmGsW4a9UhOX7\nMb5B6dwOFtzgvoSgNJcUChi3yCicHh3Aa+ulOeeCUa5iYU4CBmboaAp+RBfJyFAtiSIgDO7pJHHv\ns0jpjMGhsESJXk0dZCvwILRqKYSayaaaFVuU6MDzf5TW54jeOCc9or3vkDWQPfpLExqUBNbC/Dm8\nMDkmNYpqVLcUTgkk0y940upahylkqWb51oGUT8fu/u5z70gpG+DJgX0lAsN3DhywCd6Bj3nBFnOu\nlBIXs0XoFPvmO7ilkgIo5tRDEcY9GZTaXSoasTh39gReCcxmj2azB5vXYbZnc7gQaukTD1+9EBYp\nU3xdwDPtHd4LuTb7sbhACWJx70EgEt7QxIYo1GJZ88Gs06DcseMXXA7AJ0aF+vDFemFQryXQkQ+U\nt2aeSLwq9na+RKZavsV3CjER+fDfpbnlq79LyAp0lLMglinIEm/l6DWI2eAc0pRvDj/bjZdkPL+C\n5N4Ofe/wKdxPhTRxJKuXr9OivXfct/fOrzZvS+zevvPQ9s+uFtnQ70sKgcqGrox/1Ivq193zne/D\n8uCf4+9ds2Er2nfoSDAJR7tGfJ4Q79RsGgaJ4ND+hxDz96tIMINH69Ub2V0HvXH/MzsHmWsvL4Xx\n4ItHw0nvE3CEKzzaluCcgVfD0++lT7HvvJPOZLDnCznwQH8GciQ8850Lk2SSEBzeeSfGVwKyxddu\nZA+8GM2kw8Ewqv+4Bg3aHR443xePur44Zps8A4/VcxVSnhL2E7qs+/T9WvahzZ393mgQXsX/QFYp\nwy2G+0x06OknkVKYA+GhgpPn16xUa9DOB81+/N4IiIQGDh9LZhatUqKdP30umob/GSM77zD8S7hH\n/f4oV7tcjRJn50kpa6+5kUH7nh8Oun/7IkLzYPC+/lY06D0R9h6Ggb4GLZASF2u+dNWtsLnfOxqO\nhj+4rkgAVHP9NjXa+cyRqPf53fD0cnUdSCSVKifg4hUb0UOPDYWT8E5OMoPI7e4B7/AvdpLXASCo\nsK8cC/vtB/i3A0i9cnCJTOU807/87na1yWZU23QHR7AzoWcOB4PPPrYLtUjPnJbBmI4H4b/vljEb\n4YnqzTyAQgOXYej29o+E3S+Avb58A1auRJpTV4/YSCiZKe3tctXgTaJci/PlmPCsx+YmrU6m0SV1\nJJzwg8HgnwNiGC8SXI6eUDz/cgY67GjUy9tF3lwRi6IMGc+0zKsvu2aDEtm6nhqJx6O5aW0RA8F5\nCpGsXvEPGqBVrlu7+hNk+eIzH6eTrmLwLomcSq6Bcng/Q0hqPXnDImXHO9d8YiyeFL/XRe4Zs0vY\nwCYyhPArCZDURsjFC+WM7PUHN3kBBIpbYDXbBNsKY3DGbGBHX9IWzjEdccKaPnlBQONOpayw1+WO\nsbD9kEtKE7/AzoUcQq4S9pmyEZcpR6IFHcj7CHyO2iS+EjIZHFMOI+5nkAyHB8n2A7/pBXtdKZtO\nfALHUiXMatif8kCxPD/LRVywRQMJds55iGDjIRVyCHxldXkRUxahTOuKcHLKlCNvLI07kY3gDR4h\n4RcxithCoyCSuFMYs+rIaMEYwzJKAZqUj3+9BWktYL6cRkJp3uJcyNIi6G7Fr/FEzPB2A0m4uZib\n1xcyMPjCXlcBLIXMsxKeTzh7IXQ6EtmYA56vNL8/kjOuxhnhRIZYKqm+r+A3T3Ay2F+VAkjExm7D\nWngCpQ1kzu3A5S6IlpzPSjQBp5J5uwCBXLVAvsWAVH6CCa4xNjdpdUlHkOqYgo0hDCnnw2+TkDcy\niCT49Ry89Yu3/ci2qwQ9qy8KrohrpXywK42r4S7rljbHqyMig20h9xNSLuMZL/DqgN2AWSNkeeWw\nvF8IvMXuALeFSPrAPEoz9huwL94npunSRKDypySn00kO1dbV5NffYJKS4hTw6jr4YnK0cx6TDnHf\nWZYvJ05KPtLJdA0hy2dJruC99YyMMZJylhBW5DKTTmdqYKbFJ9JSbV1dKanPqzk87YO346tLMC6H\nRlE+iApzQswhf4UvJfLLZUyn03nV5JTAKvV61yLmSXdiAFYFQe9MtdyY5dmOL0ARO7lc+TuJIkLm\nQFtV6wLX0e9sgGW9ZFomE09RBEueG39VzBPykyOd83agiPv+hdWlbCABBywFk0+eSA6g0BBWbgz3\nFYTIcyklsEw1aYtQu4T8EopibrnC8XTEkhFvKeGEvNSlW0fQI1GuT+Say1UZ90KqUaH8uKx0vyhm\nW1i3mILmXHIIjOWsk1O2pqj3VtfwYYvww6sTNeUiQFFVmQjwj1sF4so4y2jP/6aaDwYCowvWUjV0\nzzLClkOjKB9EzYkpXvH/LFaOc64CJpBpCiUc3qc/hQ2FywowlxETEtlHXhQ5W4GoiJ2ssuQmxycT\nHvjGrmevW/X2rt3IzMJ2G6QiAMbIJUX8R46nJA8u07AGCGGrjBXy+oKlchUlgT+XV4xVvih/JeFS\nSg1ZnoQWMyghv4RCVpO0JykcW0dMLfN2Ur3go0TrCHpknkrSXD5z7Cspz0L5pWVjcynnEOPVouUz\nGoEyHfbC6aSYzWjq+H3sC9cI5Xw+CNRevcliWXX1ebyDcj6tF9atW/4Pm645fnq1g/2xaq1kpCyk\nm+R97dU3W21omug6SR3Gq/Zh0HE8DGj5pYZA5RcMLzWEqD4UAYoARYAiMM0QqOwbhtNMOSoORYAi\nQBGgCFyKCNDQdSlalepEEaAIUAQuaQRo6LqkzUuVowhQBCgClyICNHRdilalOlEEKAIUgUsaARq6\nLmnzUuUoAhQBisCliAANXZeiValOFAGKAEXgkkaAhq5L2rxUOYoARYAicCkiQEPXpWhVqhNFgCJA\nEbikEaCha8rMCz95Fw3Db7uP9fPYlRUuPDI05I1WlucF5ZaJ+0HizAVt4/yYZ9LwA/eQ4uWFTI70\n93b3DkTLU+BfUhwYHpNgklKCxUexf01Ehkk2QarFR4ZG4kUMzsN85wZIeFTu2Okw3IPakM5DhiJ9\nzi2jJObnpte5NVieelIgZLxDA94L4ZTl5TynkoqGroy/taFpOH+iyDlJAsTJrsbm86h+rs1NMT27\nT72kvn5F/ZLaquahi+Eiyd71mzf3HZ+w2viHgac2pU70gMSTd6gLLz2777Z6nBYpGtpKDN4IjXSq\n12+7wzHyZrkfScQyJo+t37LRmz/ssaTcY5kjPtLTgA90bZYFwOTwtvWbQ6hakOFl172Kqr7gBTHq\ni5vXf7c/XCD3BMxXRqkJAZJrLdnLyBw7eezQ5s13HSV+MwEZED51KMx7WRouz8ffgn3NVaou4FDa\n7uemV05BfJHjLMud2M1EQCjilOrbvMV6/HzAKGJZ0YyKhi44y5gNnY94ZxNvvX8+9WdUXfghRzig\nhJx8v+9Hv/RcBNlnwwES8+dMrKFMj0rRyfJPrhOrcSGoFPPht1Uv+u9snoMmOSMaFu9e/0BvEV7p\nIwcGdc7EwYfvEQ6mK8lboQDLzILhqaepStVdKraMaY6M/7vrt2+0OCwt+zbedSgng/fZx1itfesV\nGVGG7XfoTasWlYPT21ilGi3VdkmR5ZkLm1z6fdsOFM3o5yNmfvnfhyyvFAFkbvma8tYRduya/A+j\n1s6B88QXi/djywCckr/44soV9Q8F4TJ9dMXKFX88j+F60apbDV++oRYV2F3E9hz1kqopcpbmTfx6\nXBCKWSnmM+Sg2eKS6ZFT0dCFzzKep4ADGUdH/dGc/TNhv9frDeZ6VCYZxRl+4RREHodkNBqPht4c\nRNCBcYIprncUjtrj75JxfJYicIAT7aBmPMeLL56Zn/xPsyO0fJsenTj9Higx2tuhalC1dQ9nULqv\nva3XC+qn+zva+vygcLS7rW0gjDUPD3W3d/V0NDeqmtpHYLqW9ne0dsCyWsbf19bRn4YqnW0dXR1N\nKlVrV/9wH/Bs7OgdhYqz56HB+x5saoT8IR5CLy5taOsZAS79ncC1s7m5G1r19+3ePogs+rs7+rwo\nE+5pa2pQNfWOimtChS2i6Ehvs0qlau6EZ/p0cKAVmmzuypk8Ex1uawLNGrsG8PggJYZbIaexobGt\nF5qWgMAXwicGoQdPauCivT/4TjkFC5HBDPJoNHf2A/8CYSRVOoZH+lsB1LYbNrwqAABAAElEQVRu\nXnIJOCVk5oXLGfEBowkdehw/6Ytw9XmT/r4997FwAGdTR9/h3vZmgKC5o49YrK+9awg4+Ps6Ovr9\nPKuzx/t2bj+EBnfc0t6XTHo7WxsbGpr6senHMUfaN7QPab5zj+rOrxrR4O9CQvhJvmA4pNdsyMvw\nzKtnZ8+urQVunR3dfZ1NjV3DbqGVY0c7mu63oUHmltYh0i/zNKNJiUXKuuXChluVaLDwGV0xG7FP\n6pqbGps7iS/LHPWY1McwBOmh7jaAqBX7Pxx1OnhwdxtYg/eZHKrECQv8IX+MeHy0t7mx8Za7dpCz\nUgmuBTJAM0X+OQ8T7rWNJOGAcP4ZAmfgIQhGKbAouUviUYcflXLxPR2Foc6bH+rgGPDay1CCey1v\ndy9KeyXYflBOL/AW6MidbW0d7c3Q83P64nySeM7QvaQoQYnEgcloAKHYPwBuDB2Q+A5fmRiitamR\nHzEQkvp2QY/AYgCIzXo7K5wVLyGWjRK8YFP2WcljyPDZdEiJj63DyYLPCYyZNXDJ4EPplIYAl+UC\nVlzGE2nM5GhHTjjhEBOp4YRDLuIEPojBjDQmOOs9YSGHDap1wnF/thBXSbGniJfbqIRZF5dwA0Ja\nW4A/D9BogXP+kN550qKGc/LgSEYPQKGx+LIpF6DhiGBZeUqdxQoHezIGFxQxcE4gHHDIGuAoxFg2\nYSLIWaxwCxR6qxlwgzMD8aF/wMxs1sOXkU0k3HCSpNJitwC5iQ2TWqjF4gZwYz4HnOio1lvYUMIJ\n5Eq9xQQZGhZMCqmwxQA0oDXbbBZ7hPNgdcxWg5KfU2JyLuQ0WxwwKQBG7oSEGBfCmYUWkEdrtFht\nrihrwrIJIETwcYUIThzFhx/C6YdAC/d618kyChYhg9nn0ICqoGZCLoykCvFbk9UM33pXTA7OK3kF\nMc984o2I72NOBoPM2YFUY7SZAIaWo14Mo9Zo9URO2kwWp9MKzA2YObYUPqDSwEBjwtGUYZ8J/JzR\n2tyBFyFfbXLYra4QRnxsc2BR+XNZEy4YeV2kU4HiRoaxBji+Lpbh5G+xnwCa2O5YyCfgsEi+leBf\nXDYjlBqtDk8Et5ij+f3vpBYZwy2xjUzkeFmMBkm8o7aYyCmxemeB2xyX+BiQpzzQkNLqsFvsHnLK\nJQBnsoAbIT14vdwJS/gDOTPTg53WYCYnZ+KRBFKhDCX8k+8XAIiN41gewPxhs9iZoRtm3SCJOLQp\njTAoZX02fLAuyWOsouK8ZXnViN1TWS6Wx/bkYdwF83rJvCWQxOMnsDS7glIvgmETK0J8JixFCWdL\nHJgfDTgf7qhGCz41tsXOD5QFI4bctwt7hAMPKzrS3+HA3oKOIBslSPtT9oEq2TIJXYzeATztWqSE\ncQLDrSNnIUdgAMRHr2ZTsQTBM+YAI0FHSnnMcIEPqIWBSal2Jjgbf3grPgcWBjU1P1x6yHBlD/Bj\nZyWlnipeLB7dSCLjjhtGK50ThHHBgGJw+eAIW7U1FrBhCq09hl0W92FIZEDHA5+HBD9h4MOhC4Yk\nMtBDL8NhLwWjkR5iWpbvkHgQJ+EQ58OZyzDsQsxMcSHcsuM1DLDOTlqAD3z2sRFDj0++NmAmPhAX\nXBkT8If/5lpMsdBNdPYAlPAmc8VSHqtWGE9xBUgpnxusqXRF8sR8AQsNqy3QAKQCEPKhC2tEQhc+\nwBeHrlIKFiGDWea05kAj4oGQKQoD4zgGzQCtYwfTYdeF2MXAkdNScOz41GxeQcxSkvKhSzgQOQbY\nttgCXMRB4gQ5QloI+NlYwA1nXytNbl4vaJSVWjABMsADiwny8fChETAhrY1lDhEl0S5kyOZtRIZv\nUQbxyGYykGk8nLwVMmrjxxaScjQFFinvluLZygID/EUE04M4ETwSG2MFbpP3MUKMA6raxZ9qjCmR\nHa4DxGcSBU7IO0CBPwCqOPiBChy2KTwklZAhQoYUuX9iD4FHM7CMw+eCsQfOKIfOxxhwZ4y5sFTu\nVJYcp45BS7jIAyKH3djiw3hhiFqw50ASbSFizufmsC3US+4tERy64MkGmpV7UZ5zWIoSYU5azI8G\n5FYNnZ+AIDxrFtDIfNvBH1Wf6xH4yZL09wCEQOjvcuKCUYJXb2o+K7pgiFACoa81fhIG2/qPKU+d\n5gJHDiO0exveQF7yEOxa4GG4JhNytrc2qW5r5Sf1r//250h51yevqEaZ0CuDiVko9ZckGty5A+oo\nVm4Hlu+RRRl8/KHOuXV5/rg/zGxGp7Mh6B4BlwmxB16CVZqaxcyCuaDQnPmLGaRYfuM2ZHvJ0T+o\nbmlRv+W0v/Aio//sFXl98dK+uFqVz5Vc4cLZ8Ad0mTzhYlyp5sbbEfvn0wpYQNynrlXUW1j0xutv\nAb1yKWwS8AnjneZSKPkmTPdqFFCrfhMDxzKWSjVrf2jV7d62orFj4J3TsL5h0y6qXXPHPoaZx1On\nvb0NVbUr128HiyskxDw3aIlRrRXsKgehuDHQSExYqWIFsbBFyBCtM6ARJJkwJAeqwDcWY8ECuGAa\nlaCnDJzggpyCpRGAaql3TsHnuycGWLRXvUKxZAuLNiowV2CdQplgh6pq0Yr1u1k0j5cD8osShzsQ\nttBNzXbloe21DW3Ce3KET1lzQAW8YiFPHAfyYIxyMuTLQdVP1lfLWyFOApKKSaCZuFuWUWs+MKyr\nvwY+izbZRB8jTdatu92ksW1cVNU9wm+ZKZfUInTlaohh6N2yTijxB6ADmRuvh4EE+4U05WXIlPLP\ns6fQkrVbH9QMdvb8NglLlYgLs+hr2z4BLBY2bGDQCY4DEBOMoXU16DAHvKUGRU6cQGj7SgUMU+t3\nsejESWFdT2hWtDt/K8NWqleBt4D5lTc3LETJwvycMpcVosSXSHweO8O268EfMQghfvAkRHkamW+/\n/qasR7z75lGhv1+5jvR3OXHBKJGTawouKhy6ALYbP4LPAyR9Btsbaa0vwuNgKsVx3P3rFsaHO5es\nab36C/926PF2EukEnTF95vTr5O7sCVgx+02Wg0pQ64UN4vmC/MguVJj5XwSiucs33GNArNMbQWk8\n9ImJq16+Tov23nHf3ju/2rwtsXv7zkPbP7taLC3xraiGhfrCIazUaIJDmd8NHBQcBhovfRzNZg82\nNxQzrQGmijn1mBZqJYOsaFdCKm1x9e0Px1izbdeWoXdg8NP+kjyHHT14LzFd+pf/eQeLG/KpYR8A\noRzx/wjbnafYN98RWpeDkBcJsMFBOOYFGSSplIKS4hKXhcKUICFZcnDWFclcWC849CyL6ucvXAoH\nOZPZKkDQtY7oD6RJ9sldg7pIloN1YBjycCoONnw++axZvnUg5dOxu7/7xGguu6w5ABj2RAzsGjgy\niOrnwC2kulXbGRQv95IogbG4FWznXOKhlltkDLeEkXI++ERRApYcBxFfEEXqNkCLlRLSsuaDWadB\nuWPHL/gwAAFDSNVFTljSH4CefSUCMVKqBWGRl0EBLlPgn5jiLLryc9802B7aZQNnF1rlv+R3uSLu\nfRbWimKcMEr1akRT5ygKL3LY5vW6rIS34NK6Evkiu0KUxHzJN+uFCFNLBC8pvdy3b5B1z8uWbgRO\nWNZUhDiAnLjEKCFp+KJeVjx0LZ6Vc0WErtmwFe07dCSYhOPDIz5PKIlODB9A2naNarX352oMEUIr\nPrkVDY4EkunhzvWD6JRCUbtKhR7a93w4A2fNpzysjzznpt9Ln2LfeafsM+9FBa2yjdWt1qLnf//G\n4tUb2V0HvXH/MzsHmWsvR9Ur/gEvKCrXrV39CfzkiT7zccmkq1CEwed/52ddR6DrhghG0LVLJNgj\nHjgcDP/uGRva/plrFq/YiB56bCichH9NSmYwuaQWvh84fCxZff02Ndr5zJGo9/ndMN5eneuhkhbf\njXu94erFH4XRuPbqTzJo39MDfvxPa7nXafBQ9H50dAiPC5k8MW4SoaWrboU3GXpHw9FwdEEBCDwF\nqrv+VjToPRH2Ht7LT5FkogpEE/2SClO2DicDJy2TeRjeZeka4avioeHsO2Fv7xfVe9Xm76yuWbRK\niXb+9LloOgn/skdAzbVRyyV9R2xoMWSQQfZY2G8/MLhYmG9isjl19YiNhJKZqN8f5WqXQ6gXgvNY\n5qi7XqlGe38+4HVaH0ca9RqBYXUNO3ik8MWJnDD4QtYKjhODfw7EZRTwol6BRcq5ZSZgZ5WfWFGH\nokNNVU1DAhsIZztf8AeffWQXamEWYtYStyGxDPsYgQnewIJ3IpYxGxEL0yZ5qilwwquK/QEq1F1z\nI/jeb0aC7hfsML/HCuEkk+HqFTCLKvJPvMDA1W24TYPpE+CklzNo52PPxlFm5IlHWHRr3uuhnPCt\nrv+4Bg3aHR4EoxQ81PkKccOccqkMtgiV85Zy+fg9tbIokeYICHv7R8LuF55Eyi/fkOuvOWHApgUd\nX9YjFi1n0AH74fCojV8nKyQ+n64nkaECl5VcpxQX04EnrJDCXhdMt+x4u5BPjMWTSgVs/OOmUou3\nVPGWcsqH92IhafVapQbnJFjYEhCSUh/g8GK0eGviF8MrKfYU8RL2OWAygreFTIlsyMhDpTbyy88+\nCyy8m2HnI+LQw/ZLTnG8ck12REQOnINsTJO3YbRsCm87w1YWIEt2d2CjGHYOYAU/AfyEpLUAzPD6\nhKVFANrqi4q1BDjcZHMdXiRJ+WyCfSxgUD7JW4zjdX9ISp0VhPTYYFsTJzV2AJxCTgOfA3nOsIyY\nlMesOtIC1lEGAq8piBpxGkUO+I0SUdQCBclOgwwZYI/R4PfJ+L0umTDwTgsG0wggwz4T+V8F7LpY\ncik4rxyRKJiCmRPSWInksAUiYNpidgITSKmQQ8hSgk3FHaCYC9ydT5h5zC25dQt7h/CCks9K7PFf\n+wQWWhfeA8ZpTHPAKwM85mqH5A0mvEuBd09FGfBWNN5d5lWGXWbRH0grnI84EX6PA5JIA5cyi8B9\nSbckO/94VzvmAkn47e1syK4DpyBaa8hmttxtUnmlgG3A1sLjY4BN09xIIl4UOGGxP/AmdhoJcPi1\nMOgIwLVYhmL/TJnVDOzLA7EL90CtB3pMyClYAKnt+HUzcVcS7As7amRzOgJL/WLS4u6Gk+ixIuZ8\nbg7bCN8TgYtwIfMWMRMqyfIJE57zK1KUJPkgojgaZFn8PhQkpY1IDlR83TyN1Ld9qYIeEWMtolr4\ntSZZRygaJYgIU/NR0dc0yqjApRKJBDa/kPC95BbnckAh7hALVJgoVZAnFF3CX6lCZCaq68QrFlDC\nikc5lPNFYLIiKjmfPC2WGN/JuGIGeVXkxCRfmiWjFWuVEkEsO8dvuTBjVZZIVfqyTGUglqgrEHFy\nDEtAiglhCYpAV8whL0EpLErkRWDyIYSiMnLilXxpUTlfKGkRSUUczjVWH+Q4WvD7WZIi8AWp6bPy\nO+IpIrWounhf8C3XUH6XJy0Ja4EMxf6Zr5+/KjEo5Qv5K+BbNHAV0oj35bAlvUVmBbFGSS/KOYhI\nVeq7UN/SNPkuXUifdzWhZlFGKY4XN68KmsvFWHpBEaAIXEoIjPb1RBv+SXWhX27KBHsPHLnpa7cv\nq04P9fzyii/cs7rUOtWlBCzVZcoRoKFryk1ABaAIUAQoAhSBc0Og4q9pnFvzlJoiQBGgCFAEKALn\nigANXeeKGKWnCFAEKAIUgSlGgIauKTYAbZ4iQBGgCFAEzhUBGrrOFTFKTxGgCFAEKAJTjAANXVNs\nANo8RYAiQBGgCJwrAjR0nStilaKXHR8wkXMlKtUw5UMRoAhQBGY6AvTl+KmyYLJLNe++QXzIyPfX\nHlnI3AcnfRzYft/tzpPX/eijBhV79AFFY9WaOovv4D+9XVW7EY47UY3xO1BTpQRtlyJAEaAITAUC\nkh8cnIrmP+xt6uyP3LNupGMH/GDPA/d8eoP/8Y2/C/s0GvbQq3H1LPjFP/Tb1zvXBeG4k7U0bn3Y\nfYXqTxGgCOQRoKErj8XFvxIOGZGe9JEmx53c8ZJjG4LjTtAJOO7kDUavpZHr4luHtkgRoAhMWwRo\n6JoGpilxrsT2O+5DFtaT3Llm+05kcP54GkhJRaAIUAQoAtMFAfqaxlRagj9kZKLnSkylpLRtigBF\ngCIwjRCgs64pMwacUcxcPgeaX/7F7xvV9WsW7UVw3Mnt10HOjds0KLRlBRxR+Ck47mT+KnLS0ZQJ\nShumCFAEKALTDAH6huF0MUg6ma6pkxw7OF3konJQBCgCFIFphwANXdPOJFQgigBFgCJAERgbAbrX\nNTY+tJQiQBGgCFAEph0CNHRNO5NQgSgCFAGKAEVgbARo6BobH1pKEaAIUAQoAtMOARq6pp1JqEAU\nAYoARYAiMDYCNHSNjQ8tpQhQBCgCFIFphwANXdPOJFQgigBFgCJAERgbARq6xsaHllIEKAIUAYrA\ntEOAhq5pZxIqEEWAIkARoAiMjQANXWPjQ0spAhQBigBFYNohQEPXtDMJFYgiQBGgCFAExkaAhq6x\n8bngpclw0O8PJzMFDSVHBoajhZkFNBfqNhP3Dw15p6jxC6VUxfmGRwGkaMXZjscw4x0a8FbOMy6Q\nrSfGNg2+HwzHJ+ZpF61HXKSG0tFgcbcfz/pC+cTgnSCzEmQXmn+JJs89q/KhK+ntVTU0D8fHlSXZ\n1dg8nByXbNIEye7GKpyaui9gI5OWDldM9rWp5tWvWLmyfq9bjlfy2PotG72p8+I+6cqpEz2bN/dN\nV9AmrValKmbSeKxN9jIA0vFKMc3xCfY1V6m6yoOf6tu8xXq8fLnIaDw+At0FsvX4bKPDrVW14Psr\n6m9j06LQY3xXoEekexqrGru9YzSCiyrQ0DgtkOL0EzevOHBsfDuW5DU+vCWrTThT4J8egRG0Lzix\nR4sJM68U4QUIXWHPILvvjdj4/ng28db7ldKjBJ+6u59IBZx6xCZKFE6DrGDfQ+rdp6yeWJZLfXu9\n/FwThUKJlLOmTMj5cNJK7ZS1fq4NexurVKMXqX9lelSKTjLWzgYLzcdn1lQ2LVp1q+HLN5QHXzGf\nQbMV47c5Np9gT1OVqptgdmFsrZiPUA2cqCRpSCpzsvvrG/cqjYEUx6VeWDeR8xJIj5hbHhcp9zLX\n1avvNN7JLC5TKmZfnK6XPvZzVt3YIO/1oggT+L4wVss1zJuvenGj3rRqkexgrDIGzdW8eBcVDl3J\neLR27dd8gcjt1xF/zCTjEMKSwdFRb1QSy5LRaDwaenMQiaNzJuz3er1BQpKOhqPiAlomHsUMSqdM\nEtba/MEoeQrGJDAH93r9uYZqamquXDAfsaVrT3VucnAvdF7z7asXouoa6OVJ/0Bro6qxucsvUTjt\n72vvGgJR/X0dHf1+lPZ3tra1t7eqVE09Q8M97U2qxtZ+f1Ka3zXgF1VL93e2dXR1NKlUzZ39QNTf\n0dYzAtM7uGjvD6bDQ93tXT0dzY2qpo7hkX5ovamtG9tAMRuxT+qamxqbO73kuTAdHGhVNYBsUOrv\n6+zo7utsauwajQ51t6kaVK3dw7nAMdrbATltJEdCyXPJC88LGR7qamxoaGxqHw6npSrIVANxJa2j\npLezFSo19fMwpb0dTffb0CBzS+tQOFOMYSGAKC2V2dsH0jYAKDn5ZSIhFB3pbVZh+PhHT3/f7u2D\nyKK/u6PvNThubfC+nRikDsAWpyJugD8A3Nnc3J3MhHvamhpUTb2j8Ux0qK250w9NJkc72rrDCGWC\n/a1tPfy8W1F7GUpwGbCRzHaAgr+zubGxWW9nET/U55uLj7Q1t4+AEOGB1tYuXtSyfDCnvp3bD6HB\nHbe0973L27q1CawwQtYhZWgTvaR2lJVKbFGEM64pbYiHiPBDmfDgDhuymu9fXlNdjQNctLe9Gdym\nuaMPRJC4pSASXwvw7t1NPH8UQyWThFBkosNtTcCmsWsgyFeBT4kFM+8k07MU1cX8k/5+sHJzO6Qe\nMEcu5REWsgqNIm8xX9ra1T+MXauxo3cUVxWt38d3J4TiR58fVN+5BhX0iIIe+k7OBwoZFvVQiagS\nrxM1GaNXylUQK/DfmczZ2bNra/MYvvZq3nOkBpVXu1h32UqmlLWFIYKr3QnMN+E2SvTQ+TjI4xwG\nNc7EhDxZzKzB9zhDaQhwMZMSSixAG7BpEdJ4cK3ClPLZgYpPShMLxT6bTsxgbL4UXyHBggBGIksh\nhym+5zygtJGHCUThfFhVowVj02LnUm54pnclAEADQgaQnzUwSO/KptwYuxYToYOTKS1G4KK2pBIk\nX2uy6AEVfUjQLYGRRBqLFVvBxIZNALHBnc2m4F7viiVYE+TrLFYdgdJkNePKYn6LyQwiIb0zS0TV\nmq0GJWIMbsGmGuMffw/VlVaH3WL38A3yDI0W3I7eGclRengDFAnps5ttTqcRVNLaQOXSqslbdwEO\napPDbnWFiIm5mMtmZBBjtDo84VdkGBKZCgBMefIyE/GUFrsFtDaxgo/IRMoGWkA0s81msUcIt5jP\nAU2o9RY2FDZjcZUitolS3Hj8UYvFPagHWr3FhAVkoy7AxxIAY4JxkSOWDYGfMyYRJGzxWLbAdgkH\neDejIxzAbWLy5l4F9mqz2wngaKy86/OKF/PBeiR8Ji1gprW5A/GcDwB7g6vA1kRpsRdrjJ4Ydtqc\nJ0htUYCz0O8kDUk7MRFe7Rb6KDQSsZksTqcVDGEQ3Q+7JS8SLwTvHlqjSQfgaT1JmSQ8CRdymi0O\nhwWMphQ7ltSCCeL/rrzbCyrjrqfWmw14FFK6IrmuB72kwD0KjSJvMVeKzYoYvdWMJXElODt8a4w2\nEzTQEiBAOFrA5QOALHaifLflJcz10JNi/y1gmOVVyPVQuTOESS3sdTzmY/dKuQo8kMCfDJspcFTG\nlZBgWMagQrX/n733gW7iOvOGr1sr2DQyYCduNm4WUwwLaTNuwsmB7RISiWwXNt9GPl1IcoKct7z9\nVubL9sT2t90Q+duQHnlbV+4/5O1pZfqm8inIDZWTg5zmlTdbWY2dEnlZect4E+sNUrDTSCVWkRMp\nQUNHe/Q9984fzYzkP4AxNtzLQTNz57nPn9/z3Htn7oznWdwNWnhx0rALnEXUII5EFHKZcRe4c2gK\nUM04DKYhcXS2ktF2CnqgPQTdLQhBbHU6wa/QS4tpOAXONDiGiG8yGcwMAg658BjJeyFQYDQnzZbu\n1JXCCsvWET1NLGiPg8bMTkv9h8QQ2MI6DDBtCGbCYJeLYBghNgm9I0nM90H9hJv0FgEz3JcYB+YK\nndYewj3B4CAdAx/C1AWy7MB8HE5Y/dAG5i4GplNcbwMop3Cfc0xFgKcpmMyMe2CEdcTxYIevJ4QB\nKKjwTwiGTusQ8AnaQIAwRiiuPIopyadiPpi7GNGEQtM00l+G8cwsOlcwEiAAswAKLYYkAkilQwZQ\nqXPIYYDxI8PHsNZ+aboHsPIqsRCBVt+EKAhvMoCkgwV+GFsDwRZmTgCzGDcylll94BXQ2h6EVhEY\nvRzgCIxTjMUBDvUxmAOEyy8QICgM3ULtu9PgCcJhAsZZCBuNuKkhMroh5BGGxhn5iN4aB9GME5tB\nYgB8PU4CjFf7GuqJSqLHNWeVvtDiTOIWs5UEEU7iDyG2CVcDcn1yIgSzksEphB++XBNUEglI8Hih\nDQ/jqeE3v1XFpKAnocxEQooukFF6UHCZlj8Zo3D8gK64T0lTlwZhwlzjFAFMWaLAn8UjG77OBHRx\nZAZTSThs8U7wU34yEwAncCLjB1u0PULUUOAgddhChoLX8j00oIrktyFyIGpF3HK5OXolppNNEBuJ\nQYjVg7lciWFxh8qyFnNngRcM8eWGqlwEFE336FHZZ/cx6+DJ1pnXfoYMj957aynKxt4MpG5CaOLU\nSYQ6duMXKqoPwQI5NNdvPe63dRw4cNbqf+qeNSp+wkH6HQjPp/fcR1ZhyWrbW68HUMt9dXqESg2N\nduT9wzV6xaGIssWrdLoafEJaR+bhMm33BoQyaAVCsQtwOGMxrNYj7gIACwsRIhHhYqguR+jTmyBu\nlaUKAa8soc5XgwypYLz5i4hZvRp2mAYD4oQzq2Cjr1kHv9kPYW3Aa6ks37z3CMNUIATU99aUIv09\ne5xm77bKkp5R6UW7sipm9aegycpVVQzSyZQCR/KrUnKku1FXUXPweS+qWiGYUGiaRvrWJp/h2L7y\n+rawqCfoh8Hiwd/zwFCpsw6W/I6YynU1bhb97sw5QUmVSmV3fdtj7dhd29A5KEkDqBCHhQkFYyvs\nFeUGpwy3VaP0uSAEtg6Ia7YzAPDN937VEHzjZOD1lMViGHvt5MgA++gXawU+yt+87y68f1rk8Ol7\nMAdY01Upf+t9fwtzG9yP/tVaKaIUjPJ8pEoe4QfAoBApZeAqYT+j9bVAIHpcc7aIL0SG+Y1akFSP\nhQV+Jy85ZSc7jSWVtVs6WFQhRmpeJakNbA2fgf6d1a1Dgd+8+b46JjEVF+6rLymv27IPoQqwCJci\nHhRPyCaTKG3YUApuFU6JvxqE5XNKMItIJEBC/8LPI0lkoo/ODrLosKlWV72TRdtwdTRwBH317lsF\nlqoeIUtR9FCsloqhSJTvoWWqYABkSNTJvGbtlcVMkFuSHTWGxR2qbrE4R1d76oLh8LZKbEpZWVXe\nIuyN7IdnSAV/MYUsntdh6ofbJ55/ksxV7/xXCE6ywf+K5xup9oCZ6hUPHKp/EGIv+zEeXlTUS/Cg\nrHanAT3/ym/zqrFhCLpybAge9fMFFkjUBZ6EyEWxi3jBfvlc4c55oUslw/N4/gc68DzAyGV1gKfl\nJXJBdfroV24GtmLz25uO5obshv37fy6OQhwIkAvRpkBQXklu1HLgmGcid/olJwqII1YR09TSb127\nazATsbIdz7wwJkuCHZ0AWVEMVQDmdf7g4lm8BpvLnc7ljjbdg7kVqLRpz7eSrMt7cOev43mky3RF\npge+kJusn25ljahiehIA4dGG7Y8GDu5tZg2tT7ewsBMwf3EDjMozl5Wf3iZyyEwRSDXiuPDIYSDw\n+t6anpnJfM6o0c7rJPhRfVbrCxXOswkrr6qFqYuNiZ00zR4/GLBO5Xi3CZ2drd35jyGmSnUphO78\nzCeVMUn05F765l4WOzRigqeFEh+FB/9bqivYsqdimLGqXoOw6px4UFwinBSjWSC7+bY74UYZ36lD\n6YbL+PFf/czgNMiX5PkeAfTQgfCkp+2hKoaidDxKCD2UU8VevXRe2s7WK2c0QWqMtwoM871ASXBN\n9hd26spyXJZLf3wenZ9Op7NZYqcQ9NLFae29u1BgdCLNjXRtCaDzMOKs27oLHTl2ajINd09TkfFY\nGqVHu7c1n/WNh1oCzebu0SK46O+Anmz6Tm+cy6YT0fBkWl+73YCO9Q9F4Yno0ecOMfb71yCizAU8\n+KZBK/ldjiLsrkmV/r4nLeyhHV0D4cRkNLkGHvUdHhiNh149jgxP3CmPGdAF2Tffikd9zweq8A2S\nthQZRLUk8vHNGx5CgfDZePgkDHPFmAmUIBIu8ppfjU6+/IODqIW5o3Yrg468OBjl0om44qWZ7PQk\n/EHa7cw2mMmEiK7atI09eDQ8HT3RHGA+e4ssuPhOlscXM/DSwotgsuIqU6IWTLtZLT0RjSb48rUw\nOMm9GY9SgfcmpvXr7i6CoRpApc6rarehQz8cjqen49If2PBqlbLT4XC8tOpPFWMyNnTw5FvSa0SS\nrghVFXIjJ2EsQmUbdptQ84lTifArHXAtd4dev+EL+ObYeO+m9fVG2DHt3DCzPwibNWsZ9LzvZHzM\nK6xMqMVxLz2zz+T0Okxe69Fi/YWwUP6s1NcgdipWYIZejbayCexrzqp8ocZZbigLSod7Gxo6hQuA\n0rUGeFK4f7N1eBL/ZddHmLqcT0dOwe233LJgpwKxR14emxw6EUDm9UyxmMQXUH9MjA175Yu/Ih7U\n8iVGHfMMjA696oPbNRxNpKgRlmo12wKJ2N3aUrnRgJp/+ssEB3/DCQBM+w4Ennhwg5YKH+sLe2gx\nhkCp6qHrCmJP2WqOXllgglYxNYayQ7Vki39MrgUW6Ed46ijZAI9V8JopI7wlkRKebMGyKjztx8Vi\nsxjM8CYC3G75hBc3cC3j/q83YenD7IIV3lwy6IAq74RwwaJSMhXxmTE9LgJxxGsTDpHZGcNPv1iZ\nAOrJMx4VhyVwkPHjtyxwgYclLH68DMWA3zERVpkBnGQInm0IxeQUnnUZ4Pk2Lz1wyggIy/TyDjYv\nBQOE8HCLPOtKTg1hPIUCLyYI3gFw4YEEfpAGy+LgJCcb81lBDUJmJk8lc+MStnBW9ukEfqiIiz3/\nNCiG37mAYnLAsyOZUoRa1k3cyXjxI3dSDM4UqSxiGqiXl37KLQJmCeLHpaTwEfxuCn6enFNhKJxV\nA6jSmY+5xbeKkEd8r0ejEl7lh2KweuQneiHy8gpjH9ZgmyvCDeNvdo+DIpmIV4x6Nw5s8Cs8kMAP\n6nO8xwxvWGAaoRDQ4JUNre8gPogu+Ae/VKIQ98JQH5jvT+WSfugC5nHSXWbiI0jhIx4CveNdHD/4\noZf4MFWFtqCqyo8z+kKNsyQdXj8SBb2Fg8ok3nuAEimWeA2jG3o3qAhyIcBUKmGdhdc0CAQ2XwQq\nFJqIesakB34gaEh8DqX0YAaglgYlFX8WvxEilJZIWnzMrERYCg+tU9QSZXfjB6J2HMoiq0zML4Yt\nxHkMJlaL+PhU2yNy6h6KXwUi8aNlqO2himDwRBJSKwwbKbP1SrUJYgPRfRhz8VkXoCP0Atmhco8Q\n2yz6pgQkSm5btG02nc6U6/XKOwa4WcvwOr1+jotPtYrkXoq8WS7WA5cs0pddEhM1y0U/yuK/cIU3\nhDEYWP2yQgjgrrFUj98hXoCCRcyPmVYZAFvSU9YDlId7CqK7XIdvcosYkT+v2psvsUI6x3HwZw8q\nLnBnzWXxM8/iGKoA1OiMGQstJY5qlQrP49t5TROp6WyniHfnB73MTrNTILigQtNg1kMNEEpazFeM\nSWW1uK84q/aFCud8Q1EQSqeRutOD1zip+2bTHPTcOYNcTabQRBCnDVpcO1+QuLGucgalck/p86rP\n3biYREX7/C6oASFalo2P/u/oqofvW58/o9677B46u53qqFaJnIcJat6zRI6K8dU9uCZT19U1iXKn\nCFAEKALzRmC6u+mpqc9tDDQfOm8fOv30ffNuSAmvJQIL+6zrqliSHu3Crx8qirFrXgv6V0UbypQi\nQBG4rhAovfeh3Su4FU94QyN03lo+nqV3XcvHV1RTigBFgCJAESAILIO7LuopigBFgCJAEaAIKBGg\nU5cSDbpPEaAIUAQoAssAATp1LSEnJcYGe3t6x9TZmK44d056dKCvp29QzXU+Vi984qJLt+WSdFjg\nXFbzwYjSUAQoAtcEATp1XRPYiwjlwj3VzE77iddiF7LK01eYm2e0y7Rl917/6DnNK+xKEcX3tYmL\n5pfuqDgvsVZry5wJgdQ6zJWDar65rGbVkZ6kCFAElgECc/4hxTKw4fpQ8f2334A/Dg2daBJcAnlx\nav/XTn7wKwhBbp4V8HnCyyrcqecD1qHUt+5T/rHK/DhpMySRdEebZvncwXzYqm0plhBIxUWdPInk\noFozMxQ4l9WH8HkcWigCFIHrHQF613XtPCxl8YEcTjizkekIYn/09134S6/KREezZ1RSJB9S59wi\nZkX7v3OARR1fa+zsDytz9uDkT21tne1NbX1hQqhKmCQjAhmSjna0QRovkgBJTHcEZ4smB5pWZUtS\nJQ3COZMa6hva+rS2SAmBwGLIHYZTZ/WF48okXrIqZEfMQaVIWiYmJ9PkspKAxemRiuWyUnOlRxQB\nisAyRGDRv99BBYoIQAJnRQ6nCM7mY7b7g+Q7Poq8OLNnVBLSyhTm3BJkCPmlLA7Pf7z2LxCbciYt\n6bM6BldQSPahSpgk6idmSILcYPANI0hRIaU7wjnY5DxG+eRAGVW2JJy+AQokDUrjPBrI4nB7vMGE\nJjuUlAonCFkbIN+Fx+Nnp1QZs+Qv5RCdxBxU2ixHOXUuK5KqJZ8eKQYwa3JZiQbSDUWAIrBsEbgK\n+bqWLRaLq7gmh1MSf0QO538Si5zoCH9PjGSbLJpRKU7OwjfoNDm3JDbk62csJDVUZdISpi5I6yeR\n4a2cMEmsxNMGUuQAE5MJqfMYaZIDyYl/yNRFkgaxMImp0qcpUjGJM1MKEhpZcf4isSgyZkkflCNn\nCBQO8rVDpWI4FZ4il9U7mvRIhbmsJDl0SxGgCCxXBOiCIb45uAZFm8OJ5PlRpAxS58XJpy/S5Ewi\nmuMP+hXLuSVUw7kM0ubsgXxNhgfr14iGF0mYJJwpkkxIncconxyoMPEPTlUlKGa8S/HNwbwtonTu\nDCQ0um21SKLKmCVSFG4Uin107jR8SBFnwyK5rC5MatIjzZ7LqpA1raEIUASWPgJ06rpGPirI4TRf\nPdQ5k3D2rPmUwpw9ONmP2HKWhEkyjSxEncdITg40S+Kf8+y5D+TmxXZW4ndIhNcrCjJmFaPHdXnF\nbr5tG24O7Ukuq5Wf1qRHWrBcVjOpQuspAhSBRUeATl2LDrkgsCCHk0aPmfLiaHImaVpJh9KkJB3P\nkbMHk82dMElgVpjHSEwOVJD4R6i/beND8KJI31g8EU8UT/ZXVmcyo+ZnXdFEIvH7j/ArjDMn8RJ0\nUP9WqnNZrVanR7rkXFZq5vSIIkARWIoI0Jfjr5VXyr78Pa+hbkf1IWRxs7tuLw1XVChzO6/damLQ\n3s0Vq96FXJ2MIhOjfutxr23zzrqD8PaBkz36RTiLTcDrePBuIinrVq0U90hOOqhe+/BzDlPN5srD\nOJPWnvWQDlgmgB39uvstaFtNBWQxRCacpLVo0VXV4Pq1f/2cu2X3jpoK2IfkQCCWuQXElT3wD3a0\nA5sDPD7OIqke3b7rHz3W4F6mBjK3vXtMbQuk9sMsSxu+H7RUb6vzNhscJ1usjKkOrzQiw6P4V1OU\nUIin9I8ccx9gdtYAIjjH7M2PHfP7a3ZWH8ZvfiRdf7LPy/iPPnz3Blvzzh+ELUc3KdYuNbzpIUWA\nIrBcEKCf372mnpo9Oc8seXFwAp2ZMyrNYNMsOXvgTmd+CZNE1uoEPnJl0Xxj+GxRerGZ3FpKgzWr\nnupG8pFWABzj9EjyebpDEaAIXE8I0KnrevImtYUiQBGgCNwQCNBnXTeEm6mRFAGKAEXgekKATl3X\nkzepLRQBigBF4IZAgE5dN4SbqZEUAYoAReB6QoBOXdeTN6ktFAGKAEXghkCATl03hJupkRQBigBF\n4HpCgE5d15M3qS0UAYoAReCGQIBOXTeEm6mRFAGKAEXgekKATl3XkzepLRQBigBF4IZAgE5dN4Sb\nqZEUAYoAReB6QoBOXdfMm9n0dDp7RdITY4O9Pb1jiTm4xMeGh8OJK5J0NRvP04pLVSE7HQWz54Dm\n0pimRwdH5gL70jgWUC+CiAKZtIIisAwRoFPXNXMa++PKiu+Ln8Gd7G8qMXbjb6+rSpabeejlwj3V\nzE77iddiF2YmwtzSfcyOHf3vqBgvmYN5W3HJGmfO9oLZBNLZYLwEvum3tuzcFs7ILbjehpKGnrB8\nfMk73GhDSUn/pMJ9WhEiy7HuBmOX6ovJlyTrSponJqOTcSEwOdgtCNFLUoQSUwQWDAE6dS0YlJfK\nSFdmYKQ2lRsfsj9xZ7l0SLbZXqOui5W+Bq86hQ/ef/sNxDhDJ7p3rZ3jI7MrDMiA8zsuxTJ/Ky5Z\ne90q+J59KZoDxktgq9MBkJ/KO6l00yOOR5iqS+CgIS2tarA5N1ZC9oZwQ4lxDKYwrQixAX8xdX7G\nQNAwLXZ4+c3TP3+4rrbm0CRw5U7X1tX+ls5dxQCmdYuPwMJOXdz0NIR2Ojo2Fk2IMZ5NJ6LhcDga\nF64tYZGMSyfCeP0qHR6LSv0xG8dEk9Ih9BOx1RUuqS0+oPOXqMyppSu/GaV4gCgx2tdkNBqbuoZO\ndOwLILftsc7+sMgzG+9ta6w3NvaNTXPR/mbTEcT+6O+7BiXQuOGedmN9fVtfGCko8/pw0c7WTlhB\ny0b72zoHOC7a1drW3t5qNDb2Do/0tjcaG1oHommkqO8ejErNuYGuts7uzkas2gC4NpsYaWs01hsb\nugfxsBYH2d29nU0NxsbOkdGBVti29QjuDPd3Yq16R5XWCXcaKitUOoM44NfV1NQjhFG0v6uzp7+r\nsaF7LK1kCEHU1dpQX984EP1goBOETEPoDHS2D0ih9E5/AYySSdC2u7UR2vZHuXR0EHRuaOrGEalA\nQIUMTtES6OsgiI2BoOwHae4mXanC9vZRsp7ITQ62GuuBm6QF198ObgFTQLc2EAd+7mlrG3z344sr\nVpSXhDsbn/SiAPOl1uH4f4OIox1tgJ8ArKxsVRmajkfHpH4E9VxicmwsLPUz/HH++CT0omhCCgjc\nlpuOxydj58SUakCk7GhcehpSpE1j+jS0nCR7uJWikKw0h72jaVSKZ+6bhFOwGov7tNzHcUuomk09\nBU+6SxFYAARyC1hSQbiNMBhErdyRDD/hwQdCldmVyqWc8o0GoTK7xnO5pMsMBww+Y7BP8Dl+wkv2\nIWEVcoRSC6jgkmIVchgYe0hQKRWyI2RP5iZaELK4vF637+2I3wKZr2xuNiYiMGQDfGxuJ1Sb2UTE\nCaCZ7f7geIawCDoAd4PT4/GzUyrKTMoJQ44jlMuAd5hgJpdhiaxMyASAtzjddrw1OdwOYGhyZ1Kk\n3uJ024ChLSZChpmAPLfHARsnm+JjQy633+8GfQ3gohTrhHqr22Ml3nd6XLhxMJkKAb3B7XPDoZN9\nU7ZuSjQ7b8WvlNYRnYFhizvEE0rCB+Q7/mNIyTAVtDOQtczv8wRjCRxaGM8MUGDRLGwd7xbAKBqU\nmwCBgK/H64skIxhTB0GixcfPhIxQb3E4rSDJMg5KYonBvO0QxPZgjh8HIC0uj90Ah4J/M24TZCtj\nc7lxwNrsjoAvQLj/XeKRZDLodYBrHB7/+LsnsTMAfGiMbCJKuRzrxNVCMTiCYELEa4VD0rEYzzhE\niOAg0omQwR/DsCVDLqkR+Bc00Xa0iAccAoURbv9xZ8wkJxRlKjPtEiSbvTzPQhwFUzk+5pe1sbjA\nqFwItJW6/QzqSajTLUVggRBAC8SHsCF9m7H54cBngXEUwjqTTJHBJ+mHjhZM4d7OOIKsC0YcbwxC\n3hYko7aVDJFTMJrYQ0nSUWEcv86Lauoi42wqw8KgYPVNCGgCVg5WmJigYgLGKjvMPLkIjIwOQAlm\nPjwaCiUFg5/VL4x1Gsp3pakrhIcePHXhMT2VgUPkB5QjMMAZYIrgSX2S1PugfsJNXCbyByZEHA9a\ngY9IbSYSEmnIPGEH5caBzooDAOYuxhECG5HFm+FjMMVYfXjIk6wT2OYkK4roDKQiEQzMeGo0j/M5\nFUN/zA+gmN0EI2mGhqmLaChMXalcRg2jyJKPeWHIHoIxHzMHQEwAJUHAzE7PhowXMOZhyiHBTK4J\nBNuB0zi5FuEjgIkpmMyMeywAAZGQi3jMyORJToBQmJl8yXEwxzaFocaTAQiGHTxLFwcfpi7wFQMa\nwlwNUZDkcZy4I7hnhQDZFgx4KimIEmfuHB+BeanFG4FTGGR7qLCjwanMOJ7eTO5x2IeSwj0TriJx\nAe9DKlGQDJdLYK8/EjRjbTNgCmMfAuJkEOMWyggzK/bOLOoR9vSHIrBgCHwC96WFKymEvtpwL/Cr\n+Zzh/IewJFaWjQ21tzYa/7ZVyIh7EaEnH6pfebHKsHtj5Ur8kGbi1EmEOnaXQMEpdqFqw4MwOB+s\nLDG29wzEYSXixilld33bY+3YXdvQCcuAPGDF8dJbAelzcKFepgNIa7YzOB8yXm/kpEVH7swgi25b\njfFEBZQz42dYrUfcBZADK0kiFUmbbaiGJzqf3gTjpbJUYZlZQo24cF99SXndln3gVukxGpYOSjOr\nV8MO02AALXHu5iOmcl2Nm0W/m1ytsE5kLFpRTGfDbSRXskgIfO+tKVUzPHPui00+w7F95fVtYUWc\nKFJKCxopYBS5ocy5MEL7NunJMSjB7N6AUAZB09gFrNOMyHwGmmR161Bg5MwHEjPY4meJuB0w+RCW\n0byWyvLNe48wTAWpQ2vv3o28v/EPBEwtLab3h3yvvs7YHrhVOAe/WdxUcnUR8DGqDtddQIS7TBma\nOnsWtK/TQZ/ZcpBFZ98FkfrSqb5OWGnc2ozQKtAm84dBZHjsS+tlIYUdDQvlocuav/3IJoFMv+Gh\nlyKRl0iJRH5yf3XpxfOo+q5dz5oDXb2vpXFSaz7Ooq/u/gLQr6nfyqCzPA9OTzH21k0QOjOrJ6tB\ndygCC4IAGakWhJPIhLkbd26xG0+PdFVve97lP36s6e2azYcFkos8z1+sMGytKSV9HeIeWTyvd+/R\ncVxpaSnC//fkUrHhwMvfM+0+9IaX7354wbVcSIsXlNemPd9KshsrmZ2/Nk8D4zKdZLpuZQ0c62BM\nSk+yaLUwTOZFr8Sgw0n8Oxsl8CsFMrikJgU/XpOKYhdGNImbdFa95V765l7WFsw9e0tDyd9pdVGQ\n8hfPwuJd7tmtUt09knX8rtsl0+DcrDqLbVm8LWCIBjORtvK6Z14w7T6P0AqwLRlm0Z+IbcRNHsZ8\nPcwBg+ez6FZBCzb8PlwUEAAFFGdA5vzHYG25Dsb7z9+x+kyem2JPB5O75aVcd37SQKh07T0WtG/v\nAeRmx9PNm/c1I/vQ9xH6naIZ8S05Lg6+Ym5G/B9ZZBhKvvrn5dks6TCl2XBTxeYLDp/j+BNbqjdj\nWp2uSvQhNzYYqDLiCUbT0UTpzHa4JhBK+swrX2Z+UGWApigQQJ7IL2DnIvr0X33NvnfbQbjHgotL\nRRGgUlQIu4XqFZDQCorAFSKwwHddCFXdJHUD0OzsyPPI0m42bgr/DFY4xKFV0HgFHoVxWbd1Fzpy\n7NRkuqysdCoyHkujdDwc5Srve7jpKStCZ5LSfYdAfv38gv3sB+8lphPxeEK4lUHZ6XA4Xlr1p2Rm\nwTPC4Mm3xBdVyjbsNqHmE6cS4Vc6YOq5A09V+VJWZzKj5mddUXjsnr5jZsrAK29E2eApxL4ZUw6F\nhJHCb3nGM+7BdT76Y2JsGJbAZhjAgICvqt2GDv1wOJ6GtwXSnNI6NeNi1sFMVFhUDLMoEY0m+PK1\nJpS6uHLDQygQPhsPn4RLJHwDKBY8IwswRvva6pt6seJwj7JuqwF5u38xOj2d0K27m0GHB0bjoVeP\nI8MTd6qhBWIZmQrEHnl5bHLoRACZb19DGBX86GvhXuTIi4Pw7kciLr/4UFr7l2YgNdxz16YvkJvZ\n+z+fv+kiF3qB9ybwxcochVwmlNZ83owCPv84KivDVzKRabjXCyK0v3FXxe9eI0sXgsqB10/H0+EX\n9oGTVhTpaCArfYFD7FSSy8IcCEV/11dO504PkpLLDe5Zj+9gOZ7Xb/1brD6CKVt3C4Oaf/jyNMqO\nvvADFj2kisSZ1MNtaaEILCQCCz515ZWrWqW709TOHDHBusY/n4cH4RU8jnuGrOeIw0PFCrRm61M+\nO9pZW1FSoqvZbP5NjJt49Zt11eWwGLKzw+D67kMFI0lexPLeW1GDOkzVldU1NY+OfQzT0QqUfe+Z\nzTUVNTurrJ6tt9+6vdXiPbBtu/i3X2Vf/p7XcGhH9eb9FjcLtywrK2D1Ri6lDd8PWrzNddXVj/78\nHTXlJ2HRDpcy5p9swKBuCww40m0xzDpkkKtZCW+RQy2ZMzFxQRGZ4DEQStkD/2BHoAyzH9z6MRn1\nhLZ4hVAq61atXPvXz7lb2B01FZU1Nf/6TlRhnTgdSFZorMM6M7eslDiRLdFNxXDyg3/7Rl11Rc0B\nr6Xjy5vv2u1Ah001m/cC9QrhbhXH2hoJxlNv/lsHWr9eDKc1W10+++F9Wyorq19K3nvM3XJgS822\nZuT9yWPCtDcTMsf2MbU7D9l839hUqquqkRQUglo40m897rUd3FlXXlH95C/OSBRld++GR0VP1CL0\n2b+wwfLfRjLziWCVr4K3HEybHxgR5lWpjbyVLw50uhUY59JN3w86O/Yy0LPKq+u6R88j/R1fNaGd\nlSWVXw/bLQYE94xl93zXZWneVlOx+USLGVb6dIUdbay7sQbfSx2qLdc9P15Utq5iHYOXH9H6rzng\n6nPDSl3ZI/Yh85F9lSW6LfvTvsih2xXXLjOqJ1tCdygCC4RACTw1WyBWM7DJcukM0usV18HFCDEV\nr5PJslkuk+HL9Xr5grdYo+uyLstxcDEt2q06AHMBpmypXjpbYL+CfAZKLs2VzeWLArbFK7CE+fFS\nqaWwTst3Bp21ZBiGPBeO48rg5oOUmRhg+tKJ/brNpgl+z1pFTJETZbBELUA7L3OyaQ7N7AJJWQVn\nqWqOLcdlZb/PQSqcBmvVfYRLp0vVXSabTmfLVcqSRvmONi9BRYiAcWaO7lmgXhE2tIoicLkIXP2p\n63I1o+0oAguJABfufSHx5a/cN8c11EKKpLwoAhSBq4UAnbquFrKUL0WAIkARoAhcJQSu4rOuq6Qx\nZUsRoAhQBCgCNzgCdOq6wQOAmk8RoAhQBJYfAnTqWn4+oxpTBCgCFIEbHAE6dd3gAUDNpwhQBCgC\nyw8BOnUtP59RjSkCFAGKwA2OAJ26bvAAoOZTBCgCFIHlhwCdupafz6jGFAGKAEXgBkeATl03eABQ\n8ykCFAGKwPJDgE5dy89nVGOKAEWAInCDI0CnrmsWANn09LT4WfjsdGJa+IbtfLSB7OrDw+H50xfw\nTI8O9PX0DZJk9AUnF7TiilVdUG0IM/g6f39vz8BoQmCtOYyPAbTiqYWXvcAc06ODI5ftxMTYYG9P\n79hlt79cW64sJKZHBocXTeUFhCg+OnzZUCfCI8snJi83LC693VWeurjRhpKG0YJvUo90Nxnb+guq\nL1395dyC/fEDlaZjOPdIOlRZXfnGvOHInO3dsePy0RvtMm3Zvdc/eo58dfbqInhJqk72N5UYu+eE\nYZ5kxQ3LRv+xcrNp389Ohc9hAunw33qfJKLTfQxA+07xtrPX4lAv6Z+8giuK2fkXnk2/tWXntnAG\nzQBIlptZFy7cU83stJ94LXZhZqJCiQtRc0khoREYH7Bt2/mflx63AhRcLwxGPWENz5kOrxii7HBX\nI6S/qG/tg5BOhb/HPPqLgkRDMwlX1qd/vnlbPiYXP8yUuiyl/as8deEMPymSxEdpdPZ3o0cCHeE5\nByllm+tvX7cKcu3u/3UckkboIL/7TZdg4SrErII8xpdVuFPPB6xDqaPfenyGhFOXxVVqNNnbWGLs\nUQyHl6Bq5caH7E/cOadd8ySTNNJsL5xGTIgffPbxu8gJ8fAb/3ejIHoFeAJnPC5SCkxT05RWNdic\nGysVn6VXn1/4IylsigGS7TXqutgZh8r3334DMc7Qie5daxf/c8SXEBJq0BLHdh+2BRvVcRtuKDGO\nKQJO3QSOZChKNz3ieISpKiAoXnGFEKXHnt/RHPMGfczhvV/vi276crspsO/X8byic4STQilVTC5+\nmCk0WVK7Cz91pROT4XB4Mq5dAUsnEmR9DC+O3f9cZGLqKcj0gwssnEEXg/yS4ajQJj0NCRMTUJed\nBlZRMV0fLDTAQRzPd4qlNsyAk9bdZhKNiZZqcb48RrLDg37cQGdb7yjkG4Sd9oFJLj7c097d29nU\nYGzsHBkdaIVtW88k4AJJm9jj1qbGhqYuYf7nJgdbjfUNTd1wNtrf1dnT39XY0D0mXhuko4PQFs5G\n8dnvHGBRx9caO/vDGBIu2tXW1tne1NYXRtl4b1tjvbGxb2w6mxhua+qKQkdLj3W29cD0mp0caG3r\nnU6Hu1ob6usbB4AXKfHhbjhuaGwfiXNctL953zGYj7/ULt0UFqga7u801teDnaQTZ0d7243GhtbW\n1u7BSV35zXCdkwXzu9o6uzsbjcamroG0E9jfMgAAQABJREFU9hDNQIZV7MEYAbP2YcUYMdYHEo1t\nPSNZLty5vzmA2K/v7wyD+orDdz4hiBZswr9qPQEnlWl5nnKLbPbiihXlMPGq1VA4sX2ULHUp2yqd\npXSizFXpO5WzZAoIBwm34Z42sLS1Z+T/9HfsCyC37THRy0CscC62xXQEsT/6+65B4kUAHAKtq6mp\nByJGoR7X3w5xAXU4MvuxxxM9bW2DcaFRtKu1rb291Whs7B6MCjSK6P1AdmJr98AIdnpDZ98Y1nrW\nkMgDMhLSRBri3hlApoZ6mLk40dKfHP9245NeFGC+1Doc/31fexOY39TZDzDLfP75X74hQfHmB2nu\nJl1poUfS0YEmCLZ2KL0Q6lAUEA30FwcHKfiouyfhMBE4jmwdD2/d9TUbE3znQ1R211NWxn1ykpyc\nRzjlOxpJQ7tiJXTJVuiSHwlhhl0m9JG23pH8fChwv0F+IV/XAhbWZQHcDCZIBGsZ53O5TAiuYlk+\nN+FtgXr3eApqzARZxh4U5KZCDgXU1kgm5bbgrIImK24CxRvj+ZgfZ1kmxeJiQzaE08YLhR83IWYo\nldOKXkCrrg6rkMNsagG4rBMp1oQMwVTKCXbbQ4AaIGILJlOsEyy2uj1WklfX6XHBVq5vcRKsbUM5\nfhwgtbg8dgNi7CERT7MDwMaFj4AMs8NtBwRbfFMRPxxaHJ7xqQw+mwkRYA2uYGwIUDXY3E5MziaC\noIt7As7bQQd/MhfzWuA63W9nkMnp93mCMdI8l4v4XN6hIZyG0OLlUxEn+I6xeEMT4HwoggmyqkQ3\ng9vnBkOcbEo463A74ZBxgOYgy57MpfAxMrs9ODCcbFx9mJqBLDVkA9FWoj9yhJJEvqgAiABzbIG3\ng17M0+oJYmz4pHwYV4g2YE2ALK8nsSRv2jTxi8hzaEoQlMsAYgzw1aiRdyLYaA/KJmN9hqbyzkqq\nnCjyVPuOVzgLE5DOBRIFQOLjEC0Gj9/n9o0niZdNNjcbE4IAtFI6N+KEiDHb/cFx4kUBcNTiDqlN\ne9cNXcvB5nLQxcAfEbARB4NgcYpEjsXptuGojIHXVNH7ruQ1HD+IsXlc0J0hyOcKCWE0MDteAG+q\nIy0DsDMOsCcjW/rLEfAgwO7w+Men3vU63UNDHtDGDn1H4jPyWxzwBIo40VB0Ae5WxCNCBzHZXHY8\nMGENcYFIFiH6j3/B0VgIzlTes4RA7p6kfQagg0CCfdYBWURdwBXvyKOWoqeoMRfDKZjvaAlAEpBw\ngxktXl4MM7GPuFzgV9yViNAb6wctqLlJ6PEm13ieJ+ldbg8OX7cCX/AiDLICmRAB9qEkDMHgHTsZ\ndMZJ4PsmhPEx4zFDtx8C+mQQS/D2mA0OlofR1OrNZFiYHYOpAtF5JZboHoBgsOP5xu7zQgJdPHWB\nJTjcM9AdAYcUC8baAQKMhtUPZsDchYd4XG+DaJ3ywXDgmIq4AZNgMjPugdnFEccDqxlfN5BCiE0s\nDNS4lZnNZKAD21kBWHHqgq6ey01AT7YHoT4CfdYRehfIrEMx1omnNnswBn3J4GT9QGR2S41FEXwq\n5oO5i3EAl3GgZ5wygUbVAPReizfDx6BjWv2xENjZgu0K2Rk86WINYWzCOJARk8eqgiaqQwGWQrK3\nsP4hkBwDUIQoEjiDGbAThKEQrpZ4HC0hCRz5UCkaXBBS6ynYKZsG2qp4CqfFiSSmUYNwtoOzxknM\na9qS4MfO4tVOFIYi0lbhu2k8WxBnEZHy1EVwi+PBGsJA1Aagc8he1jo3iTsgnpOEQsZBqw8ONOpF\noOOZPMkJL8QAsviSeM6wiYMrlo58OHAg/AqjF3sNOqkQzDYcV0I/hakL9MxHryYkZEAKI43MRnjq\nIjuSpWqHJidCVgYZnBBLci/AAU+gEPuXxiOEkoQEmRFDAvRkpiEQzQiOwAcM03RPgqkoC/YjpFfi\nruEyydfrUD97OCnMT7lwF4TSgv0pOh3zJ+rhscLsiRChN9bPJwRUFuh3zVaH2bt/c4mxtXcYrzbB\n6kAFCuzbe9A+NPX4XWJqdahVP/26CF559L41qLT2HrhwI4WHOuuQtBDPx1n01d1fgDNr6rcy6Ozq\nP7s3MHjyVy//9EjHs6diFzYYdm3UF4oWWS3ZDQZh1Z89+rT14O7DxyADu6JAXnqp4EcRgAazejXs\nMA0GxAlnVsFGX7MOfrMfwpKO11JZvnnvEYYBPkB9b438zAXEMLs3IJRBwDV2gcfQIj4jcIHfFDI8\nCIsw6XNwRV2mA+qa7QwIufnerxqCb5wMvJ6yWAxjr50cGWAf/WLtF5t8hmP7yuvb8IIbKSPdjbqK\nmoPPe1HVCpDJAz+tf/Oqlq2oQEdM5boaN4t+d+YcQlXMn2C7dGVVAjf5twrHSBarSormUKpG+foL\n770C+uNWlZukKMJkZVXM6k/BduWqKgbpUBYIFNZrDnEDXHRaPXFl3jQNT3xSKh/9rpga+OkZFgxF\n21Z0VkbrREIMbVS+k5xFTmp+br5nj9Ps3VZZ0oNfnsRe5mQva51LlOFEjQQ+htuq8Y5avbV370be\n3/gHAqaWFtP7Q75XX2dsD9yaF2yoLkfo05vIXUe+VhG9WAQcrgD7CdQS0SwhIQJSGGngPaHolZbK\nHsxOdhpLKmu3dLCoAseN3AvUUIg8FB7BlA0bSgEu8ZywwUdSVVFwCNlM3RNbLZQL588IO7qb8gMg\n1MweTirzhXaWv9iApeULCf6y2m2IhQXJG68s7NSFtj51FC583Lsu7NtR1zGMuxBAajCgg8/9PK4A\nVwpCqYpZV4l3M1Os3MVhsMYjTkEhTXW3MGdfdx8/yzDouX+wHoEhCxWKLmi69CrOf4jW7nrCgAII\nnV0Jlp0XenkyDDjMVYCc52EC4bI66KmWl8gl1+mjX7kZGmqas+H3ESoXkCvGlgcv6VbWwCkdEKUn\niRc2bH80cHBvM2tofbqFhZ2A+Ysb9GVrdw1mIla245kXyHMLbtRy4JhnInf6JScKyBONVoasKnfx\nrLBmcjqXO9p0DxjMXsQRsgBl5WceAi5YfxJFMkcOMJXLfGXxWj1lDmRnFp4331FcDZlBYVvBWWon\n5ge5At9hZxUvtzcdzQ3ZDfv3/xyuZaCU6aTrlwLnFmcAtWr1StfeY0GH9x44/Mj/bNqd6tjXfGzf\nA5uUbVXKzBC9RcNi5pAQo1cbaSAVDBcvSrSWgtvT7PGDAetUjoeVurOCiopekIdCqb28z56KIVQK\nOs1e1ODMSqtndjHnyeUdnjmNG9cgdOEPMYVGitbF2CrMf+siuNNkRkf2viBfMIqtQeNs8gwczBgT\nCjHX2+7CTl3Z6FgY1dzz+NPPwRLse9MXAK0UMjlenLAFmmua8EuiKAsvqnIXwKkXP+ay5MYMKlkO\nKiaHf3IIMX+OvQwE59kPPiCuh9MwU6HmH748jbKjL/yARQ/Vfe6udeyxYxUH+4+3BrwBZLh7Dbzm\nXCAaWi7lQnoKQLTpaVjhQlU8r9/wEAqEz8bDJw/DuDOj6hCmcEnX/Gp08uUfHEQtzB21cCd65MXB\nKJdOxMV3WvKN9evuZtDhgdF46NXjyPDEnflBMU+D98o27Dah5hOnEuFXOmCIuEOv3/AFfDVtvHfT\n+noj7Jh2wkVfIhpN8OVrTSglDEg8XwWn4Anyi8AcX2iu1Ncgdiom/r0aVKhUXQeXiId+OBxPT8fj\nQFKFDzsGwyM/bw5UzWwwcJlHuXmjATX/9Jdjw784BHez0qhdtWkbe/BoeDp6ojnAfPaWefDBJESx\nvJ5CK9m0WXnqi6ohy52prb6YE+frO8Id3mmCl5huZ+AiHGXhH0KDJ98S/VDgXFkfeUeY4bXqldb+\nJSwfI8M9d20i0YDu/7zipktujHeKRK/AU0WFD2YLCZlYG2lYwN0M++YU2Ka0FA/agfcmpknDcj4d\nOQX3/zIXvKOGQnUKHxDkj3kGRode9SFUUXQSKA5OAStSITK448/3sAd/MBIdPdocsP4NnnI/+PC8\nWRGBs4eTynwYQxu+5rOh/c+8JA2JoCkKnApNxt84EUD77v9scV2u61rpumxBjMzGnmc2w8CHi8k2\nblhL7iNSMNY9OzUUqt7x5J+zP9pysoI5QCgC5YfwA8bHSShXlxyEAdMV9N23Jt1trDgA9yFoZ3nQ\nmRxsWoPKHrEP+Wp2VB7ZB3x9kUO3ozOfhhsN81+s3ZSFYf9s9adQEdFEyBL+gRhfV41XTh5ocqHD\nJ2Dnrt0OtMNUAxMXvvsiriGXmXj9SorZdatWpmOTMJqY6mrhudPQ1INIX3rca9u8sw4QNDnZo1+U\nL04xH7TmvmPuFmZLDTTxRh6DJTUYOSRmhED8Kfvy97yGuh3Vh5DFze66HaRvfNSANhg2wxLiX5jR\n2Z3byhD30jfq4BVCwD74E6iHfl/fYmVMdWStyfAoVKzdamLQ3s0Vq5K5p+AaRKPq2jWMu2X3jpoK\noPREMnse/meX5cGdm7fBobjoxIB2CMwViqCq5hCfKkJ282Mu/4nancxhApnIAK19+DmHqWZz5WG4\ngortWY+4Uej0+N4sX6RDBc+1f/2cSs/1eF5VmKbmKbEiWuuLqEE4C1RafcYkZ+m3Kp14oukuTK/1\n3VuSqIIts+L3w4c/Z8KhY/dNrEFrtrdamvdv2/5h6PTTcHerdW64Ih9R0AQQZm5ZCTta9RC6e7cZ\nxXbWgiv/wgZ/koEvLGcomuiVeWribfaQ+Ctgjh3I/Zsm0qBO/6dGdOSV8e+azh6uky0tz8Kijmnz\nA8F3j1jQtpoKuG5BJrxAKQGbh+Lks9AJhKLwCNJvPeaxMru3kDMtt8ASKCkrJYhkQ7TgSL7TdE+h\n+a33fc1tqdxWdwxeoEoab4dL6yOHWNMEDIlimTWclOb/2W+PI/3Nt+36qhcdMr30zkkSZnjQRMf2\n10JntLhdW2e6npCEXZfbBX+0l8mkUhn5Ofjc7IWnnbG5W/CpVGp2qksVPbdyi07BZ+YLHqZUqsdn\nMvyM8GiJlQ2V+/MQn8moxEJrjSI5ntdoopGONVUKzeXgobTyCbb65CUe8fC6JrxmIj1tJ621Gs6P\nZaGeStPm4FlMDVnsjG2LOVGDnsykcEcDvFb/eThX4DmjeoUi1TXzlpDTGKVVlbAtjLSIG14bwW8J\naSyVAoqfqfMU5a/WPZcR3xLSVGsPLwkcmTgGb1QxTlVQAmOFGTKlLK/QfPkUvKpC3oIJ8jN3eQXx\n9blLLu0XdE4uK9Nf2toP3H2gMv3cipTq9frZNb1k0bOzuxZnS+eDBFFMS1laNgvsWuKZTJsHXVmB\nHK3DS0s1mmi4yppm44N/f/Dl9Rv/cLADudg7Z1JqnvXRvrZvjK6+462DXmR1MKpQ0Wo4P46ynnly\nhWkz8ZxFDZnPTG1REZFQN4/OQVgrtMPHWmbzZjSjerIBM+zMW4LWKK2qhH9hpK1/xO5Jn3yfQ2vV\nQVhWJgwfpTMNPUX5S0ZMdzc9NfW5jYHmQ/AasypuJArl9pLAkYnP//Fe/0t/o2WucJhMKcsqNF8+\nBTsXAyiwC5Ve+pdFlEyW9f4nrr32uhWM+RbVEs6114lqsCgI6Nf+5fZ1aMV2Pzv1FcULqJcnu/Lz\nD25fjW7b7YmkvrV27iuhyxMyd6slosbcii5HitLb9zTtWegPgJTe+9DuFdyKJ7yhkafvu0qo3PXw\n48b12pnrCmTptns9QXP9FXBY9k1L4GZy2RtBDaAIUAQoAhSBGwmBJXDXdSPBTW2lCFAEKAIUgStH\ngE5dV44h5UARoAhQBCgCi4oAnboWFW4qjCJAEaAIUASuHAE6dV05hpQDRYAiQBGgCCwqAnTqWlS4\nqTCKAEWAIkARuHIE6NR15RhSDhQBigBFgCKwqAjQqWtR4abCKAIUAYoAReDKEaBT15VjePkcsmn4\nzOZkIv+x2stndWUt06MDfT19gySL72yc4mPDw2FICHBtylWVXpw5eGg6LVibnp7mpO9Fc5Dq+9p7\n7dp4gUqlCCwFBJbH1DXW3VhCipy0filgd4U6TA526iqq6+pqq7f/SBwdr5Dj5TYf7TJt2b3XP3pu\nrs/KpPuYHTv637lcOVfYbiGlT/Y3lRi7CeyQygAUK848zbqqK7cP4++Sp39cWfmdEN6DJAfWyurK\nQ78i+/SHIkARuAYILI+pa/P/+FEqNWFH6ENeuu69BlgtrMi0t/Wg2QUJezPJX1sW8BMxl64ld+r5\ngHUodfRbj8/8WXCR6wpIfYuz9F1qCTeUGMeu2HWXK72ItpUbH7I/cWc5yvYadV0s/pI+Zr4Kfz1d\nVXTwhW72e94oZN4pY0jKRDgdH8dfaB9kr9ntp0pFekARuBERWNipi5vGqyvp6NhYNCHeSOA1sXA4\nHI3PNHClEwl5ISaLGWDCdGISGsFSmuAT+KynXl+5CmdDEEoWFmwEhllYx5GWbrjE5NhYWGqEKUU+\ncZFYbL1kNnesX1eKytaswZ+r5SYHW431DU3dk3ggzY72thuNjW1tbd2Dk4iLdrZ2hiFTUbS/rXMA\nzquIuWhXa1t7eyvQdw/CIIuZDfe0G+vr2/rCKkpyDn7S0cHWBiPIinIo2v+dAyzq+FpjZ38YTkX7\nO1u7hwHbxEhPG+wkRtoajfXGBqyGVLhof3v3sEDcOYAlqqSkw12tDfX1jQPAHZ8LdzY+6UUB5kut\nw/GsUjQ+CwX0b2vrbG8CbVE23tvWWG9s7A+ncT3Y1dZkNDbhQ6kUqJQ3VtWc0EMqsbamLpyxOz3W\n2dYD+U6zkwOtbb0fld+MUvzb/R37Ashte6yz/23IbRE40NzU2NDUOZAXRpJLePe/CHdbOM0EKfHw\nKcSYEDsQFu7BpHq6pQhQBBYPgYX8IH4qCJMLpM8RijuS4Sc8eF+oMru03/wnsr0WSDnjJVkwMm5o\n6wiNu8xyoxZvRNIw5WCQPZTEh6kgEAQJuxDci9mCUBfxWqVWjGccn2NdwBoSWwFTy7gmzQbmco3L\nkA1Pxa5gDOvBj4PNFpfHboD0H6EU64RTDrcT4+kI5TIALBPMQF4GsNaeVBPnUiETUFucbhtYagN2\nQQfsGJwej/8/f6NkKxrMRwAXs8Nth2YtvqmIH3vA4RmfwtlMpiABCYJss7kh2NqG+NiQy+33u1uA\nYSglpFoIpTDodoCYtTMYfLU+Qag0Of0+TzBG0qPwyaAXXMc4PP7x+JtK0aJPMkR/ZHAFJyE1BGjm\ndYLWLRNpwS6H0wowgAdF6WqVFMaycVVzgTuJSfdELoN1Rv5kLgYBxzjjxIR3iO0mm5uNxV0YRIPb\n44ANpJETsCIZecxwxjU+4TKI4TdkZcwuP2BsC5JoFGGlG4oARWDxEEALKYqMQYzNDzx9Fhg7Wcjl\nlBRybCX9MC4Ik41GYioEg4WJhVGOjDKeiQyfSZIxLxeB4YSk5yFNFFNXJgSrO+LU5TDAWJ8j6ZHc\nETxchWDobAEdkpiva1wjbikdJj1WmGOQ1RvhI25QNpjMjHtgYHUMwVBvxTDC/IGtE+zFUxfY5Eiq\niVP4LPLBKDoBTAAWDJTVD7NPTsNWGI/JcGwC3/CYm5nNZGCGtGMHkJIcgmlmaCoG5+zi0JyJhETO\nJEsQzKxYDWjAEvA1Ul6GOc+MkyrlC8+Cv2BttEA0ISFhQ2QlQfMW7wQ/5cdT9RS2ywtTMZ65sV2C\ndKGNrJJsLPa4srk0+4B11qEY68RTkz0Yg5kVIlMwIZXDtjtI8BHmGBVgIl4hQUiCpQbnEFxLWb1+\nu4koOQVzoGsCriIY7BpaKAIUgWuBwMIuGKIUQl9tuBfGiJrPGc5/CJm4yrKxofbWRuPftuKU1MWK\nnnnIgry+t9KJUy+wyHb/2rLSsvK3+rubGhr+7gdelEpnirWS64QHL9mps2cR2leng5c5thxk0dl3\n02jNVofZu39zibG1dxivGC29smbPtwaDDlOH6RuhKVij8loqyzfvPcIwAFQVs3o1KLz6Njy3aQr3\noYYYzhuqyxH69CZMzZ0ZZNFtq/EiZKYIJULgFmb3BjiL18BiF3j+IpDyEsxrPr8Psb9+7deDyHD/\nnWu4cF99SXndln04uTCQFSsaKVubfIZj+8rr28JkvRC3yOKcbFiCVrTILoUMD9avQemzoPlhU62u\neieLthFxhs9UAo1uHQqMnPlIoFappDC2WHNoob/3q4bgGycDr6csFsPYaydHBthHv1grsAKFwHZO\nth3rVxAp51d8/m8tTMdPf/N7hDFNv3MSof0Pb2UOsuwYq1halFjSLUWAInD1EVjgqQsGxbs/g985\nwGMVQtMjXdWbW+/4m//v2I/aEZ7XipXS9WYbc/Doiy+5DpucDbeibH9r+ZafTv3P7/2o40kTOo/k\n1EvkYQM54vnzcAIXbmwwgEcU/o8sMgwlIe0oFJ7vM4MSW586mpwIuXdd2LejrmN4iT5T37r/H+BF\ngAslMIRaXiIXL6ePfuVTonUquHSlqBSGc1g806mIhVc8eAFx3GIlrhHmmWKUmIQNv49QOaERCHGl\nWNY86DAd2rvPa3r0Tj330jf3sng9NmKCR0MSBd6CGnJRS7l17a7BTMTKdjzzwphMAjs6QdIMorH+\n+tsg3SS5BwIguu/BZpzH9aU6CJ2Nd8DkDOWiWiWFsUWa4wYbtj8aOLi3mTW0Pt3Cwk7A/MUNAmb4\nLJQyQHaWwqbK9fe1W7yHDnuRrjR9ZsSLLEPHXwp6beiYf0KenmfhQE9RBCgCC43Agk9dVTcpxoGz\nI88jS7vZuCn8M7xcUzBKitbcu7cVHd5/4Bg68Deb4bI2fBjZ/uHA1prUCwe8qArTZOEF5mz6Qxi3\nPk7jff1n9yDWeyrORX+5j5CU1nzejAI+/ziC9KnpSTYyDY2iY2FUc8/jTz9nQ+i96QuisKWySY8O\njkwm4gM//h5C2/5001YGHXlxMMqlE/FpbtUtDHuweywRPtEcqMKX+lACr7wRZYOnEPvmh3+iIhZO\n53/L6kxm1PysK5pIcDd/QclWoNGvu5tBhwdG46FXjyPDE3eqhnFMsmG7EX4Nu7+Iz+Dbij8mxoa9\nSvfBdMK++VY86nseq6evVekDf6qW4MvXwlyH7+ZIwZNe4L2J6blEV240oOaf/jLBpeOT+L2eCsT+\n9F/HokMnAshcu+aTIjelSgpjE4mVmuYCvX7DF/DNqPHeTevrsWGmnRtESOEA32MNnnxLetEHjtQF\na46vwwxNsEaKy8SpE8jy0H2b1m/96wYDOjYWo3OXAAz9pQgsLgILuUqpfgQFTxQyE17h6txggcfz\npqLPuogCE/iVBZNTeOotvF4BF/YtVnjWhV/uEB5USMCYQik+6DCTQ1OLmTHjh2q5qSB+tUEoFvd4\njp+wSofIZCPvbSykrVfKK8MCIqSYhJdKxuEqXjgGczLj5B0OfIxf08jxfvwKBkACMFng0YyaWHry\nJ+HPTwUF5tBWRSkpzeLXLqAYvBF4JpXCz7qE918EAvLeh/CqQmzITijhxzSUTMHDR6xPMiQpD07D\nz3sUUk65Bc8gS3BKejeGjxD1GQgAtWgiT1IbDjIxv9ja4IRnePh6hxR4HAh6CtLVKuWUxqqaC7bg\n3yQ8x7J4JwBGj1l8/IkfYjFOCK0QeZeHsQ+LppGnXzIa+H0ZxgFk8CARwskRehfILB7h1SGMm9VP\n3rLBBLRQBCgCi4fA1c+SnOXgaZVen7/QlYaj2bbQKFuqL1PcwBVSc+k0X67XK2mwLFUdx6V5VD4H\no0LWi1XDcVxpmcLKLMeh0jLxD4OzcD1/pvtL5g+/e/rpe0AjLs2VKWFUERdqjE+LvItRYoRV7Ao5\niDUzUII6ag8ppIBdZXD7qy4clxX0mYGhTA2MgLIMcaPG8q93JF/dUo5BkU/DTgEHhbFwUmiubDDr\nvrLxrIT0JEWAIrBUELj6U9dSsXRZ6jHaWbLlYjD37NZlqf0VKp0eKanYBjdqWwuWNK+QMW1OEaAI\nLHcEPrGoBqRHG4QPOuV/G8fow4KZfXDHgz7vQ3fMfP66PlN+h8/tE1/OuK4NpcZRBCgCl4rAYt91\nZbP4wXi+ZLVrQflTdI8iQBGgCFAEKALFEFjsqauYDrSOIkARoAhQBCgCl4DA4i4YXoJilJQiQBGg\nCFAEKALFEaBTV3FcaC1FgCJAEaAILFkE6NS1ZF1DFaMIUAQoAhSB4gjQqas4LrSWIkARoAhQBJYs\nAnTqWrKuoYpRBCgCFAGKQHEE6NRVHBdaSxGgCFAEKAJLFgE6dS1Z11DFKAIUAYoARaA4AnTqKo7L\notXCN9Kj0Xg6iz8kn1D/ufai6TCToOx0dHg4vMSUmklZXB8fA32XaHabmfVOjw709fQNJiAGxB0V\n7QIaNR0dmQWf7HS4v7dnYFQAcCkGpAoXenBjI7CMp650PDo5vYzG1cJAS/e3GStqauvqag4PB7fs\n3BaW0j0Wks6vBvLBzI9wflSZs707dvTjHCOLXS7PkHQfA/q+A9/the+N9U8uKBaXjMB8TRjtMm3Z\nvdc/eu7NH4k74ueX4TvC2ALJqEtWoEiDsy9u2+F5p8gJqMpG/7Fys2nfz06Fz2GC9FskILnehpKG\nnnDxJrSWInDtEFi+U1f6xzV1P3v7WoyrC+Styf5Dpo7znvFkjs/8471VBmT4lJBM8TL5Z3uNui52\nYb8IuQoxq65IKRRuKDGOXdokcvmGrAAQy3SotKrB5txYWTrZ21hi7Lk04ZcJvqbZ/E3gTj0fsA6l\njn7ry/9H3Hl8DWaW54CNWrVSI+DyDleuMjArZsqad+E0YkL84LOP34WZ63Qg9iZUuukRxyNM1eWJ\no60oAlcPgaswdWXTsAQWnUxIdwDZxGQ0HI0LY2p6Og3ZFMN4VScdHotCZWENthbWquB0XJyZsulp\noBSq8EiUTaenp3Ci3o+T6elpSdDVQ+lqcE4HDh82OFx7Nq2BzzhCTo8KFDja0dZgbOwenAR58eHu\nhvr6hsb2EYwcN9DV3t3b1dTU87aqHgi54Z52Y339//PM/7svgNy2xzr7wygb721rrDc29ocBwHxb\neZ4f6+s01hvbekYAzGh/V2dPf1djQ/eYdD4d7m5trK9v/N/nPoHY49bWRlBjFK9mJvram6BhU2c/\nPuKiXW1tne1NbX0nVfWglMDhroe/0gDZQgPMl1qH41lucrDVWN/Q1D2JDZLbnh7uaQOerUQZaBrt\n7yg0pG8McoeKJTHa12Q0Gpu6Jj+KdrW2tbfBUROxVKLIZi+uWPGJeH/zvmMosP9L7fkbR9y2ob6h\nrQ9MVYIQBxC7ezubAP7OkdGBVti29YCeM9WDpHA/YFjf1jsKSCjIMFBKE/LaAh0p6egg8AccIPqj\n/d85wKKOrzUe/KenhR3sPhUIb6+AyDjQ3NTY0NQ5IHhIKVpkqvV4W2d3ZyMGSWiSHQGQGxqfOSBn\nLsXt8ghw4c79zQHEfn1/Zxi8ky/ZD9LcTbpSjYFwXuXNdLirFaK1cQB3aFooAouCwMKmBstEfCQl\nIlYdUk1Clj+XWTLD5IiRrIbSMd6aXf8B+fqUxewa56eGcI5BBnMyOyG7fC5kh0tAkbHBEcQJABXF\n7MKpJpdZ4ccBGEeIZDEE1YW0ihanGyxFtqlcLuJzeYeGHACExcsDbsT6FncorKrPBR1wwuD0eE68\n8iLO5mlzs7GkDxJJmh1eJ0homeDzbYXMjwJ6DjcG3jY0lQqR/L9mh5SNc8IG2JpsHq/v9BsYZ6vb\nA1kWGTs4YsrrdA8NeUCkPZgUdUYGV5BV1eckDi95+l5wMJCr0eMfj/8WtLG4PGAfYw/JbY+88G3Q\n3+OHb8SPCx5MRvySIakhUMVgczuhwgwJNkmZAOMsLq/X7ZsSQXM4rTgD5zixFGfCzARBaDAecVpg\na/GGJgTDMxE3mGNxuD3eYIKEUB4EcogtJTg7PS7Y2oJJAasi9Rg0g9vnBjLIyZknI0ApTHgzr62g\nPh/BxjjcdvBsi2+KGGtxeEb+3Qf1sDM+he1UcIhDckssy4PdhGWpRROufDGPm+UmSeJihwd73EBS\ng0IrVRgE3g56MX+rR0oHK+b/xOk0wdkaA3MkemVvBu0MpBz1+zzBmOgkwVb6SxG4egigBWU9BSl1\nDY4hMlJkMnwuhrtUSwSOM+PQM23Bd6EnMI4g64JY98ZgRrINFtT8xmsWUgPneDzWmGDMIlmSzeMw\nhAdBgp0kUxZy+0pD/4KasRjMUpDaGKYuIS80nrrg0AdHE2CyQRg/+FTMB3MX40gKU5fVJyimrIeZ\nweqHmQ5KBpB04AE+CZUt3gl+yo9H8BSZuqS2QBeCgcY6BDtByMQsjkoYW6HwMS8Mv0MEV5xKGNlh\nd9xhwPMNKcmJEMwUeAQkMweew9T1Sg45noWLjhAvujKYzIx7LDjvsNSWDMQmiYfASTYEJya2B8Gi\nCJnmiaAMCyO51Qcpj0XQvJCmGM9VABq2lExdYtrocSeg55RHUxZOm9zCYQEI2FI4NQ40Vj/whrmL\ngSsLgkBhfQiuGCzeDB/DWPpjBUBJJii1JcYRShMLCZsxZ5iPMaUde03eIXR5bwpG4RbgVkjfrBFN\nqIt4nHHgJpg5boK1BEq4FJD9qEFA9pQgngRkHlKNgULHlL35MvjJLAIrNqcbisBVRmBBFwzT78C4\n+/Se+0hGW7wIdo4dZOyN6+G4rPZ+Ewr8Nn4RoScfql95scqwe2PlSpxIt6Dm4u/TKNC8H1J66er2\nIZS6wCP+Yoqxt24CPriJmDEXGsLSIf5ZjkWnq8FqK5P/GqrhsdKnN8EcBmWku1FXUXPweS+qWiEQ\nGW6r1tZzZwZZdNtqDCMCkGAZh8+g9FmoPGyq1VXvZNE2HTkntCW7gF8Vs/pTsL9yVRWD4PxFxNxb\nIymSORdGaN+mfHZHeHaEeKFldrLTWFJZu6WDRRUE/RQyPFi/BqnrVRyyuCkolfkQ1rq8lsryzXuP\nMEwFVApt9ffscZq92ypLesQX2zC5ZMi5ICirAw412xkkLkWV3fVtj7Vjd21D5yCpMXymEpro1qHA\nyJmPYE9ZeBAiK0/4Msa7BLAKQABCfAZkM6tXww7TYJBFFtbrYBXviKlcV+Nm0e/OnAMCrGlelmSC\nVltCwezegFAGrUAodoHHlBggYjXZIcxkEIQj7AEx1IuILubxKtKEeAlYgMexUatXCcFFmGrCQPKU\nKLDIJm+gxptbm3yGY/vK69vUi41FWNAqisBCIbCgUxd0EYT+qFStDLEXxXEPqiv0eIC8yEN/rTB8\noaZUOqOpuXgWFrJ+BS8vQOH5V2dNkiuNuEqhy2K/rHanAT3/ym+VyvISIPCOnOXAMc9E7vRLThSQ\nxh8g1davxFMMDJlSKdOVIv1td8L9nLi+1n1PfhKSiLjz0h5siUhWUYFH8JPni10SpNnjBwPWqRzv\nNqGzUgvQuaBey0EHGurACstL5ELs9NGvCEoRe29vOpobshv27/+58CBHYIwN0a2sgQPcOD0JGkrg\nbNrzrSTr8h7c+ev4fyN0HjMp1cEctXHurJTn2XMfiIoXgiBZNJ8tj2MUL2WfzuWONt1TtAk2ASGF\nthKmbPh9hMqJ1xSuK8JD4KA5UUT0nB5HSo9L/K4EAbU3b127azATsbIdz7wwJnGnW4rA1UVgQacu\n/R3bYIHvO71xLptORMOT6apaIzrUMRzn0tFf273oka3rZWtW4CFJVaSaFRuh0ZFX4tmyMpQZZyPi\n5bZAK41fwtHv35vKctPxhIpExXTpHujve9LCHtrRNRCG11gmp2EUVpQsDxcBKJsYfvE4MsDlOS54\n+OHV9WV1JjNqftYVTUD5GM4Pnnwrna3caEDNP/1lgoO/GYsL46Vy6KratI09eDQ8HT3RHGA+ewtm\nrSj6dVsNyNv9i9Hp6YRizpQpyvl05BTcCsoV4k6+XsmBw/4KvDcxra/dyqAjLw5G4SWdOH7nRizZ\n6Ul4Ged2ZhtipdsKssWGlG7YbULNJ04lwq90wG3QHWS+gz8+CsdLq/4UHsFAqUDsT/91LDp0IoDM\ntWs+KTKVNiv1NYidiqXFOeO2jQ/BGxF9Y/FEPLF6VhAkBupok2rBDVW129ChHw7H09Nx+Ju8/Alp\nD1dhEziVtlCpX3c3gw4PjMZDr4Jnn7iT2CS1Um4lDgXMi4ku4nElr1W3MODxsUT458351zRmDwNl\n88J9jTcT0WiCL19rQqliEVPYnNZQBK4cgYW9a7ndGvH9rm53zeF9oBm8PXH0K4fcLQ/sqIGFMHgC\nzD6+vqyXYcjFtdhlK1Z88paCml021rqdqSnfj80z2CZefVae5XS6FYgR+of+oXZrnanuMEyWTvZE\n012YeFmV9XscfseFnbs3N8NjlpMBle4317dYGVMdXiFEhkfhBxaomFtWIn2tur604ftBS/W2Om8z\nPOP5bqulef+27R+GRo75/TU7qwEagzM1+LjYVhKw9uHnHKaazZWHEbw4s2c9ggtlYR4QCNZsdfns\ntbu3QOvnX/kuYm6W2sGwe78FbaupOAQ1JvyOtTiya+vX3CNzcIffhNdrTJsfCKZOH/faNu+sOyj4\n63+IXGPDh+tMIArZfRNrxLo122VDvuc11O2oPoQsbnbX7SRWs+89s5nxgmVWz9bbP+lE6Mhe5ghE\nlzcC68lBvBKJi7Bdu9XEoL2bK1Ylc08B89t3/aPHGtzL1ODHh6eLg4CX46SJdZ3wSjoBR1O/9q+f\nc7fs3lGD5Xgimb+CDSNeYWDxSDLhD8fX/dOjkrZE/zX3HXO3MFtqwAJv5LEyxEMzQaC8o+Lw4XCr\nZJRAoBG9Zz3c45Y9VuBxwgQvSgLz9V/+ho2pY6oPgynrhBMIacOAGwXYCq4ndVWgqVCUBuq3Krx5\n6pHX74V3OeGuOviTzRI13VIEri4CVyNLcpaD19XJC9+C7hyXRqV68QnVvM3h0mmkK8dPzGYpHMcp\nJc1CuVRPZfEfnpaWSX+GqlSTS3NlehiYtKWgHgBHAlD5PfiDVg7uW4s0F9gVMFFLwYyKapVNc6iY\nLwvqFRyIJsLEU4QtIACDrwaAvCFZLp3VRI90khs1ln+9I/nqlnKsq9oA6aiAu9QYE8wBgsRjpq2S\nVSGNdFbaKiiwTUVdq6CB3SItJYJip6BuFo/DH5QgPVmxl3jg7RUhgJUQgwQ64izBppRI9ykCC4LA\n1Zi6FkQxyoQiMBcC6ZGSim3wNuasT0PnYkLPUwQoAssQgQV91rUM7acqL2MEyu+APweb++WMZWwh\nVZ0iQBEojgC96yqOC62lCFAEKAIUgSWLAL3rWrKuoYpRBCgCFAGKQHEE6NRVHBdaSxGgCFAEKAJL\nFgE6dS1Z11DFKAIUAYoARaA4AnTqKo4LraUIUAQoAhSBJYsAnbqWrGuoYhQBigBFgCJQHAE6dRXH\nhdZSBCgCFAGKwJJFgE5dS9Y1VDGKAEWAIkARKI4AnbqK47JYtdnpRKLY91sXS/4Cy8mGhwfDOIPy\nApfp6Mgwzqy9aAX7RSiF3omPDc9DmfTo4Mi8kODiwE76bqLSwPToQF9P3+CsTGaVAh/BniZfDIX8\n1mODvT29YwnINy4ZloCTC+8pARxIcg5GLTx3JTzXel+ycVYX5JWcJ1m+wfz34FPn4Whh77iKEuev\n21WkvMr5wK46e8hCibMLzlBSschEUsqiOAPNNazOkOS8crZGyA0I+TmXc0nZSXLhBTchRPheMluS\n0BKSbl5yw1RQTmwFCSfVzVMO6I44Z/SsJRUEKiFj56x0uRS2DTKCaqlwSkn4hrXVLaby1J4nx7NK\nIZxxXtbMuAtYMSaLb+L3kHVSLrN0nKLSZqsUoZ4WwEmFbIDRbJrPxmv+5zT9RXM4fz6XQynaOKsL\n8nznSZZvMM893o/zquNicqhj8sokTngt+OPd89TiWpAt/7uui6nzxS5ZiTfTP66p+9nb4oUnqVla\nP7Gx10Ghgd++R9TK9hp1XSw2ZrK3scTYcwUXreGGEuOY1P6Kuc0fNN0qBuFvyqvLrAqoVFW3yx+t\nXGVgCvmimdpK9aVVDTbnxsoZvsybZ1+wp9PB59rtQUg/zYee1KbjWgG5mHHaxVmLTgdUnyqflYac\nLF8J+QGqCthxp54PWIdSR7/1OHzzfsZCpNw0U8Do8Eflwfj3334DskWHTnTvWnvbk6HcFEk1HuP5\nwae0ps0oaM4TItSfFMHRrRJEF7ZTBIPkpkKiedXk+wsh1xzOi8UVEQk2Si6Yg9U8yebgoj3NRX+x\n82DAM5FJBu3e5m0DOMeRhOq8I1DLlBxXbnzI/sSd84jfoq0Xo3Jhpy5uGi9QcHD/Oinl0CKZu+B+\nVkwcxZEFC5KwKY3JxNRNXBwO4KZXzuQEd+PhMcjkNBsGkKkrPhk7d16kyXLxSXLnLMxk8KXs6Smc\nzuPjZHp6Gj7PTkqWCJpUTHYFomcTubDnuBEfa7KYAr4Q2Bnt79gXQG7bY9/s/nEz5JAI7P9Sez/U\nh/s7jfX1bb2jWcQNdLV1dnc2Go2t3QMjuL6hs28MAB/oahfq23pHsly4s/FJLwowX2odjme5aL+S\n21gftDK29YxI85q6LULx4e6G+vqGxvaROAee7Gpr62xvausLJ0b7moxGY1PXJLTMxnvbGuuNjf1h\nyUFA2dTQ0GTzsThVZTYx0tYIchq6ByeVCkwr6jGUalXT0cHWBmNDU3c0757sSE+bsaHxmQM40ZSS\nraYtNznYCnA0dU9+oDD/Xe7iihXl5TPhpjVkOjzQOxAWfAy5K8twSu5S+KS9Sm4+BLhh0K3e2ErA\nVLhJpKhAgb6OVqOxsXdsOtrf2do1DMglwJ7uYYFieqwPMPvSo/vFJC0KVKP93znAQnKxxs7+k33t\nTSClqbMfVg4BzHbSHBh2DkQFPhffUbk4ryDZw/ibjiD2R3/fhfNKgznErjI9/lY/9n53b1dTU0+i\ngHOhRcAPUsi1NXVFwZL0WGdbTxxqJgda23qns1kCtUY4PlSilw+G537UroxS2X0cRGAP6NTZ1GBs\n7BwZHYCQaGzrwT0WYqy1rb0NwrAJAk/uL5392GWqQwnJvrFpQaFJYmdnkxxdCSWq0f6uzp7+rsaG\n7rHELD5VGiKwLfKbDne3NtbXN/ZDZroi8cwNdEJXBq1gp31gEhaLixurqG8fxUvGqmCT5Z751f9C\nBtf/tbZszda/g5v3ofF/V/T9/4YIPNrRBvhBN8RNJFhwt5W69jM/dRd16EflN6MUDxE3CyCyGtdm\nZyFv9VJBmCkY8f4VOYNT/IQHWwUpm6CYXXD7GfG04H2gIgsXZtd4Lhcjt7wGyK2ErD7Qh58aMhES\n+DE71XfBkrrJEF4DEYoJL+mknFgIQ7ga/DE+RdbiJBKcPCyXS7rMEo3BTpaRtKIl9ouy5SNwT+4Z\ncjPIDDmNkxG/Be76bW727d86LQxiLN7QxHQIFmAMbp8bjHOycWKj2e2BKAVbbR4XgGkIpgTbzS4X\nrNIg53++G/TCshDj8PjHpzK5VCTPjWDicDsBJdsQ3FJAUbdlUxGfyzs05AAHWLw8WQUCEa7gv4Mk\ni8vrdfsgS7IPDswOrxPQbBFW4/xW0MfqdoIFyBFK8rEhl9vvd2P1QvG8AhllPUQDn8yrGn8TGpsd\nbjuIbvEJa3xJbD5yeLDCBmdIxTapbPtbUMXi8kAgMR2BPM93XwMcZHwKcNMagpfuhGUuYrjNNz41\nFUtmciq5BG1YasuMO0Epjx++ADyeUrmJrLII0FkcTivobvnNr8A1LbFcLghb6xAGnh/H7ra7bDhu\nTaGUSpnTYRwMFodnfOpdr9M9NOQBKlhYFtYAQQBrZ3Ca5kwI7u2CCoSVa6MpFtBzpCAAAB3z/8/e\n+0C3cZz3osOWjCjH1B8qVhwxqqRY1pXTeNlIz0e6qSwHtOtI9U3AJpbtSmCe1b4H+qY9Ftm8SAZb\nu/dCp1HBvtsKfDkJqFwXOpHAxIXsIzBxobomGZO2Al4VjLWMRdQGJNIOEAWMQBtwDChAL9/3zeyf\n2cWCBClKFM2dcwjszs58f37zzcxiZzk/V09oJIuKJ6V8ekgjirT4whPovEuRbOARrTtJ+7hvFDQj\nWD2pyTg8WRI86Sz0fQlqAIdToUVPMfV/nX9VidIE13wuqAvAEofP70BkiMfvhW9nKAUqcViQIR2k\nEGF/iSPgaveJp/sBZIuTRiP2LEjUHeLwegFVwQn4J7WoYphB8L3+b1O1qTYMZBhZE9A2n5wcxR5o\ndfoDwWgKejcXz1KxNIayC8arLKgEp0o5q+aDwa4QH2ysHdgnPFUWUBok7Mja4D9L4fL4cHh16rtt\nhoIJXbv3h2BRcYMmaDwkpg5yZsQ8fZK51Mtii04/OJbhekA2laa9KdUD0cQe6LMn71YfTFo00c4A\nI6Kc8gEbYU/h81EfBIJEVS9fxu98FAbFlkAUDkW58dIpFj5STNDiGCjQF+gxW1RwwPABgQsR5gqn\nWD/kVLOCN+iTzust8XwcfPFFoYdlwVo39XbEY4XhALJwwcMeyObjMFI5et6E6LS4RYx7HLjguogj\nFx1MBTnf5o9O5jE/LA9jqjSUguNmyAm4sHsCGvF8XUA3HQ/C3AV8jLRBcSkuK0I3cARHKTQp0N4C\nK0jJHjpaQd4ouAD9Cw6gu8LURYtlo2FoPmx0xQBdPp7KptLBzgq+5XHAlUacMGhy9EApGIzkLqqK\nVeqyOAmlsiN+GEbdaVmmNLJLk00xbnpH8qnRkVFqfDaMNzk0wTisNRsRw9EZpysrYANJ20w0xHCo\nIgF84ghjOswueFfXk0xCE+MojPMHjpLQRtRfSzitMwaDwSWHfmo0DDMgTN5sSsCGZ2Evj5tahKm9\n3BSFhbGJ9flsvGP3izrJBh7JtcEwR38c1pgBHlcoHnIJFo+ohVozddF6aquppsrNpGu+BAaAC3wc\nAaBp68PchSuODFJAF6dJiCu1vzAVcvcZpWMPCIhCI7JopN7hxIwTLXGzAOVQhbawjeTZDFe6TVGN\n6ghDLC03AVzLxwMw0bAFTnqVi+cJepMh3/ewLgxDEDOs2FnF4BHa0HywUWelD93UhcOmjCqDKwiu\njrJuqA2wJE5ddJUdB8niBmXeJaYOct6UG378W1IHnaMveMzi/uPfB2H4lN/3+gSpLsT7D7c2NXyl\nVaauBZJ6KGX720c2SzqX3v6wQHavrmhs6xgcgwdQ2V9kSN+B/RUVFVUb9xGS/iBfZFz2V73E8tiD\nd/AXaiqTp9rh1/G2A4Qsl5cOKKFygRUbPXeWkCO7QW4F8O7icy2iV83Lu+7HydgIIUd3P7j7KCHn\n3vglkA6Dtbl8FhTnCUCEJMRIznvMurSqzieSd96CMiwb2W9x6aegQrMKi1cD77x48T2WTyWxCpI0\nUr1KWPFRyLpl+SqByBjBSgtXd7CzqWpZ3aFnA2TVEniilCaWB+pXkuq7/9bvOLJ7fWN7by5zqVck\nR63rq1bfL5LtKCVz+TzorgIDPr5FQFreXORUfcXSjVv3IfEu544uH42jLqCpUFvYfSc0PzoXlxsd\nDF4BpVYsxztwfXW5bvY9CJuAvXbpXXuOCcIyVSYqUBIo0OL2vt6RypXrNq9bySqARPb6zJNbavR6\naYmaLQ97bIHttRXHh8a1zXRZVmn5JJCBF6o2kL7BX6z5U4G8/Morr4qWBz/NVFwlQuOd8DQSjSJE\nbwwGAwFcCmPtDRW167ceEckyGs2ycM23EjCaXPkEPc/hh2Gy3E7JuLXXSngEhWru+VNL6Cdn+15N\n2+2W4VfODp4RH/3cem1tzZkOPdXUUs2HtbF3AgSs9YVGi0xdbflkLVyhkL41ofQXrKF0n8zlkBSN\ndTtoNNKr8IEyazf8LnxW6lEFTffUVZKp21TniCxW/c5ejhCybzNjgAe8DeJZLUxbnZ2WchYXVFmz\n8YapIqQjqWVRIAwKMqr0omU1jMMf34ydRx9gcteeskFvnT7IJSNu/NccT13QXJ9dj00H6+pk+ycK\ngx2r72pd+8W/PPntwzgMKknYAYEipcp1T5/PRkPBre8c2L6+aThHrl6Cx1kvw9t2kPL5lwyIBKuq\nVkH8Yv3ccC+ugpBCpHnZxkD1Tvdzz8EvKhg9uSRpyl9NE7v/VbjhQbH5r21ZSYpUc7Wu+2Hk5VPw\npOa57z4Hz9WO9o2wCba6SsEFDcgjFvjz6Pzk5InmesUmo0EM8Cik3sJKrFgRWTvgIq8LYgmpGC0s\n183/zP7ESf/o5PkXPKRPUpKnBTc//M2U6A0cuv/HmY99Gm5QpB8EnVugtWtu3w5SUF82KcJR7oW/\n2SOi2VErPC+nCuhHqXxaFUqIEZicl9J2pR+QxRt81VAsqq0CU+0v0Pu+8ycex/hj5tAD/kOD2623\n6x3hikKwyq9ilDJ7TfOJyX6XZf/+77+raaYtspgrvwbnK6tA1GfWrrW02o7s2XPS8ugmZh9cEt9I\n4nVavIQxGfG5Q30OeNrjs5JLTC78fLtOiZOsDTzFI1R8545H+w7tOSBaWg+2iHDQZ/vcncwlQ7NK\noScVLm6+Ww3FSJlXMBoppJsoUZuuv+Bp1S11UBjlZsZETZhDVv4DvLN6txhVKIlpijadxhFaHUai\ns1ekW2XDeKYRjXedqYikkdab/kM1DG6qlHTLsmXiocEJPM+82Ud23bOeXULvaWKdFw+NAoxdnbJB\nVb0lgpzpmYfPOZ+6SD5XgPXM9gN9LX9U/87gs8R+2NawOfI9+Hkq3ednIHrEZAqKsTYujEciqTu2\n7frGX/oIufRBfummBvLMsRcTQFZOsiNiVDsPKRj1vXo+kYn8YF+A3ktn3wsRsr9p17J3XqG/qNQJ\n4Bc/TxbghY7x3IZtu8ixk+fGMtXVlcnoSBxCQK9aEX4DDsZfOyI6H9u9+Y7Nu7/sJEfPJeH+m5De\nsxfgn21uqakDiOKZwir4GfXMtwYSGXgjhf0TDj+Wq1bCguy58FjiJ6f7yL77PkVnpb6fj9KQhtsI\nRdrm7eKhE5GJ2OkDfcKnPiZV5+t+bjXcE+Ba/PPPEQt3X1iYiEQSlat+hw5utZss5MA//mg8l0mM\nsbdvatcJ5Nng2cRwQPo5i93rN+PDA9A40IkUA4g2Hw2AkYigqTUbPiuQo2eGEuGXQPVXP00Hw+Uf\nE8Dg4fHI9w/QGxRddaXu+m0COfZ8L6yMjyfgTR85H+XLyQg3vSOx7rb65i5Uoks6vfRqYWIMXiNa\nI8DvXLK8qJmgyDIiHvvh8Fg/tIltzUpy5/bdkGlpvIf95qL+Hnt5aCz8UhDK5oneGM6EpflM9Bz8\nDIYscE1840IiFnyWAiIXUhDORLoaG9uld6IQB6OkzZeQ0UrWB974QFNF0wANqJo7fw/v4hvu2XxH\nfQMcWO+/E382lE5a9BRTlWaq0TWfsSQ0GiD9x38ZjlFI16+chBzWX2gNuftU3rnbSg6cPjceefEI\n3EqvpZGEP21Pnx0b++G3DpEWgWZxqMoap2lTrSNyJfW7ZsM2Cwl0/tPQxMR4lVE8w13enQ+Rvsil\nROQsPGspDZu2haBHcsH2LtfEGy02Qg6cGByLnPrvR4j1AbiHwKpq31eNKx1gUzQor9cwyDn5N/xw\nLh9RcisEsCoMD3CzowF2J2exwyNmKyx7iLhkLCWPiKsI2RGYsaRkd/dDLVgHwLVtlixOw3/LCeOC\nKyRri41Y4VH7ZBzfLIBkaXHZLW62BAG3/QEHzWVlskF8B4AlwTeSNVA9l3BMKQv/c0joZw/dk9JC\nIHMKFnXyUT8FwA0vPPhaJCz80XGvldhwjZAuhITh/QHpATrkS8lO/w0oH6WL/9J/C6nSFJSsbrog\ng1hr62YDCvTwXx3Kc3y61gUqLA4/mJyN90itKP/nR0pUGxGaNd7vkg2ygo+KARe0+QgQZ6qIr3Wg\nkgCu/NGUjcKqHCT4gJdxdGL5uiMB+LGNCYNBkYkP9HEtsARuOkfyQVwpo4ve1F+v9FrDpFYvSoNF\nhdEAs9y/ZG4AAEAASURBVJa4YAlQ00zUeLbuS01yBnFRFhYhoJVYzDPf+t0URXy1yA4/YrWosmXa\n1GQqxAJdci0V5k7Z8g+uJqoIByHgpeVhXE6DlT9YNPJa5ZVC1IzLGDSftT6NKHjPQStZ61GKvl4i\nx0wKFqHsAVj4zPuh9+GbVhATKtS4EIgqpP8K0qKnmppSmglWQ7nmY+YBiLAqxsyGFR1sVg5SB13n\nVvoLGgArjnRMgCrZaAAnV4DVByMDJvbWA82z9SfzOlQVQKZuU50jko9KH6GKRoNS5MPqtSae5WLJ\nfjc1Az8gGEo5y4QDCGxRkzcszjUx6JRHQuLup+2joJpkgwM2DV0R1waYnEmtNmhQZsAbUwc5rTxf\nH3P8mgZghJEhvyCAXuWz6TTtzFO5mE9DIb4WAA45uiytBKijuw5VtDJoBfrcUamK5mjsMVCtFL7x\nB/CUVHIhD/9fKR8qmcYGsRcHQvAUlL+uqcRJy2rcN6irLaCIVE2jWfg8V7mGB9rrgLPmsmyAPp+K\nUEw1ugoNpPpVXECpSw1QS6r5GiuLT2RH8riqH4irEviixXrhquyTVFALAMvMKzFKR58W9qKLIhlA\n0uqTjVFK4IEqhGYXVWKFJWs0cLErZX/qJSse9bTASyLSNFC2NLWgHj0OOLWZUJkWDFUAPWKjbQor\nK1cUC1mOeooq1WL4moPgTmp6iA5VSSRnGuaoAul1vSNSJe0X54hhea1p2rqlzzjD9E1cLFBFVS8Q\njNP0S/31onNOL17TAVJU/MZlqA/WlHuBazz4CPwTJC+1srqG/WSfSm5lTVGhaatBHV4PiDeuUg0P\nHtWE5vDnxEC1WvqGH1UqxlZWKmaqmSXsudpH+nbRf0HiCsBzUfWMk1at9b+4rq6ALERnBZxy8qGQ\n9jrgrLksG6DPp9IVUUZXoYFkE1CJViw0umKG1gA1X61teCQ7UiC7ff0PrtFYrVQo1guXZJ+kUlr9\nLLOSgZ0YaF9vPQqvaK5TJNKDIqhlYzTFJCFyXlEldkG2hodLrlLmt16y7FGu6h7ft794d5lSiovp\n0ZNNhZJqM8nKiqtLOfk8hDlGudIx9EHHxaBeJSxSYFWudXWoSko00g3k68PPwFrOEb0VtLRhpoEc\nbRZnmKZHQKligSqqWiHUIQ4D/VWDc04vXuWcMyh8I7Pmdq2rqo7UwdrG3KbMUAe+Fcilho6huVWx\nwKVV7Qj4Q7b6WXlxLXVnpfCmrVR9x96993Kj4lwaWrPiU05v+Ju7dDPXXKq4nrKq7927V3px7nqq\nmUb20rXwP3T05YxpChZfXrr2AX/ggaXFF8ycBYtABfzAW7DGm4abCJgImAiYCCxGBOb2V9diRND0\n2UTARMBEwETgBiNgTl03GHBTnYmAiYCJgInAtSJgTl3XiuBCqa8wNpVjsMxFVE7Z4jLlEE1Brfnk\nE7o2B4tdXvg5RuReRV7d4CbjA+lGqp69rrmOK8mS8ijiippLzZi9R6qMm+zInLpusgaZW3NyQ40V\nFd1jsJv88dXC/a7Tr8Q/KJSjIXupa+dO2Lc+19VY0Xg8Uk4VpcxQh3Xr7j09Q5f517mUq+pB5sLW\n+7dHcN+reUiyg/OgeiYqCzLjwUwqzapsRvzO6trvTMBWE1OEyo1tMk0gSarLCEg55mcFA610DW5K\ncXXNNox1N1c0dGYkSzKnBOiOF+fOozJgnL2yG1TTnLpuENDzo0YmrOIYm8p7h07iW6rc/Ij7EQG3\ncVASx7ek5PEH5RFNQY3rw2DEmzLl8XIiLL+5Xzm7sQRUBuReRaEyp002s0CSVBsEpMpQxdpbjvni\n1p9Oo1zjWtxkHcfIhnK1UyskuizZkrIo4mTzDb6pHI49zhBGg3o3c5Y5dc1j6wAXzmHk4joV0bNk\nAS/RYaR66uyVOJnASpUx630NcRE6wDPxwKlCGvTmr4FF6bcSEmPTf/2m+yCQLeEubhHgj5JpsTTc\nRShNTYV3M7mPwL5wmUhHK9B4NXX3Pc+zf7GCPC8RRzQl/1ZTjJljBiOqnHE4qViVy4cEGxsT8TlH\nc1NjcwcjHVMZv3JA/mRM4MT85TnPuJK4TZDEKaXaU8R/Jrds18Bg1+GmhsbWMzGsyGtnWqYmoIIa\nGpI23L1L5UhjVxkRV0ZuuzPQ3ro4YZq4Tx25F14pUYVj8yqTDk0t1txxBujBZhxI1BpdQJ65cJ5j\nqKJPFGTmMLW/0GyVKuxwt46crIjNS0bE0Hc5k5KBqYRntPmVihJ7mWLDm/9u4C+iW4L/TKbLkgXq\nvkv1Ka476AKMZ48DtQzGIlYwgzjUab6JTm/cfz+bmrQIhJDB3eLx+3vEpIYlK02pdOweH+7m5JR3\n30FiEYkxi+2IIxMXjeQ1VE+jeY40KElZlIAkCTaKgL25Xnn+Pth+BiqMwG409qi024CGu4jZiNvA\nANUTkADBLkWuEBBbwA5LPUF/6M03FPYvqTayjqm8REnKOkaJptg/7XPGzCmDkYSlHitmcLl8SC0e\nuncQEDjlRwAhifELaHKQ6wG94gmcZGQ8cEXhPFNKjsCGS5D09kxqWpY1XAtQKOHOXVa3D7eCsvqy\nWu1M0dQEVKAJdmMCEyWSNjGtZZNiV5GI61Wl7eKZYqI1pgsNZy2uJ/fShlZG2lKIej0tjZy2bl4y\n2OdHbD0hlZSurECSNi4qCsixX6j0bMBOB0liDuP6C3OSJ64zICfj2LwkXTr7mRTk3+HIwFScmRcS\njMU2cNolfyWrkA2nFF0WsA7RPZxQCxKaSGmqPoWBVRxguhEjK8GoYwXT9QJZ3U36PacbQd2kPt6c\nZqUpFxVHU8axZMGgxBHtUPt5xiwMaNiyiPVS2MJOw8Tz2r8HYM8/RhqkbF8mMzZlYQNyIPSKwt5z\n9iCPi8JdxDLVqYv2GWRfs/nYXKTyLdGitCTHS5TVEE1dPwYjyXgKBYeV0smR0mw6PiQnTDdJHM7d\nScoMpzB+JZBMS0/gxDSGtZxntPNjyRL2YDbPfwYNB/SMk1EvjH8yWZdeO5sEoXWnIKBiU5eGpA1V\nKWxSdEhVmPOkttPECSPPw0o0yS1ON81Tyb20VeRt8bRsXqVo5LR1VVa5PPgFTTOjQJIjWWpfPiBV\nhirmCRvukzzDnOSjopE5C/HMdgikpxyblzRh6OxnQnRkYG/jDQTFmV2WYDSyQdEuWSN94SxSii5L\n3kRUiWqsM12fMggwOgVy7HEybZjiOGMF0xGnyXGotfemOTMfGMJdynyk3FvAenX7Cmk5QceSBeOa\nSrTDrOMZszCHIy46/zOeQOt//xKe1MmkQbJnuJ00MjZVb3vEdvJfXx54TWz5I7jbo0nPXSRl81+f\naw5aTu5bWt8WwW3Z03BJ3doajjS8RDLRFK1//RiMOPOKsKLXuH3vEWQj8qflkF9TtwE+CzrGL2JA\n4ESlAoQ6zjOppHQVvzT2FLfsihqS+4Cyr9AHWVChSDsThkgif1tJAioN0VoxmxQj4lLb7ld6fjKm\nRvcphwrNLuZmo9laNq9f0jysB5irNHJFBFFQgDLDFajzMwskqkL9UJ3KAXyoWmGnkwrp+wtm60NX\nKsq+MEgkNi+WYWS/YVsYEp6hDK0NJbTPmP9suj5lKQ4wuvUTxx731rvMRfqpsoLpee+4QjfhoTl1\nzVej3II787Fds3JDpViyeONUxqzEfwDtj0pc9J/W8bxT9R+FTsiRBvEiCFn3+3vIsSf2HyVfECSC\nQQNGKG0VOKtet6s3G3WIR576wXDRxRK8RFI5rTEGjFyzZjBSDVFJiSDvChs+y+JDAvjzeRj8cgUt\n4xdSRhUROEmLGcWcZ0XES6o9hi0rz1igRDrUaue2bATOsKkIqGgAMZK29w3JzECF2nY/epePEyRa\nmzbVGFOaadm86hUxbE6STo0IopSSxgeG4WFUVHVKDkiFoUopzvUXDnHlsnznpmRgMFA2L6m0of2l\nycAUOfzBNDbQolPSZfHClONp+lSec5c75NnjViiyNAel41BT7OY4MaeueWqH6o1WGznwtDc2Pj7+\ni/dXgRXFLFm8aRrGLB1x0WqeQGspRxoEo7IuVa6rd2DWw4Jmn1kD7iK+4ngsNp5fug6II69y5Fu0\nhCHPllL3+jEYKSq0B+XzIcEvhAMvxcZ++A9I4LS2BGUUz1fERoFVhpxnWiPUs0J+6pZlO6Heaqwd\nFSIflTEBFbJXcSRtG4q50GASh8S13TI+Tgrwa7ux8ZT8rg73O5pWkz6MWcT0bF70hoGvRo+N6yrF\nVOIumjV1ICm12AHnFP6YMmCo0vYXVkvVCFU0tGfFbF5Qw8j+agMyMIYzU6H51NqgaufIz6D8FHRZ\nGmnySRl9Si4Ku+XKhzr2ODlb810ecZqmyjyeKK7Now2LU3Vl49+H7Ku3bwwcsLjPtjgE60b6M8jy\nqDEchZ8/dZcAq1jAmLVtzW97CDm2RzgGj9kD0c2V1etP9vTU3b/6KFz2pHubvUHX+t1b4cz3xtll\nVBywqcrU0XXb4bWKT35+jaymZsN9drK9bhmQRBIrPu6RkwD9uWpVHZxe/df/tnHfSTiwh75717q0\nVSB77lq2PDX55ErIW3nvSaAU2wrlgGfrsWqSh2rqlLlym2pMNKsteYFpunu3m+y01oG5+HuJBiS9\nI8anUrKgDctvwcto0jSpTGmZ+BgYbN24Hta0+pMPkJrK5wLOu+7feAhA8IgnPkcpwgiJDxzdaEXL\ngJQLnYWfrV/6a7e17q7ao/CWRfzhOwj8Ci26f6cF6cet9cUtCxBTJ+tuqaS/uqB6zTZe++nmu2nl\nlTta7Qf2b9/xXnjwfwQsG3eufgYJqHbJ9xyIxcn966Fd7D7vtrXZr7vITiwDHvy6QAA84WMAWo5r\nu9+r/yIXJ/98z5lAYNczMIrjszJ85VLAX01cqMBZ9WN8aP3zPVgSQPjDv/a17N5Zh8EFNHKyLnxg\nKLcYXNHW7d0LxVhixdZtm0kgSVUNApIsHbNYiPWuz4fS5xmjOurR9BeKN5itaEztsJMDW+ugA0HM\nM9F9969fz4KhUvrFrbO/mf5Mrf6ypi1++7iEMxNCP2mUFttQI2u/GHrvJFnrYvEENWo2PWohd1ru\nIqTu923k0v3boT2gVfhoV6BDBdP1KYMAw2rk5D4BggXY4zZXVv0M+zVNfJ8yjkO55M32fdOsui1O\nQ1T6G+AXmg4CuTBbBNYSF1EmHU4CllVeHuAEp/oFQhQSRfmCMXeRfBW/NTQ/Og4f1D2l9ZwxhiWL\nCYd41TM9Ll+a3hjOTkVpka94ZWp3lbrsoNzChtoV5iW9V2zpXkPSpndHtkPTdsi4JMWJMb+dXIv7\nVqtwmWVSNxnXleQUgVvKBV4vO1a8kE+Lox0B1VdUNUKzSFeN2LyUekb269tCKVx8oLWBar9G8jNJ\nBwqW7C8btOm7OQrnJBf7c/PkmDvH32z3EmXYkxmsWLYd3hBj95hlVJCLFGKtVRuPwvtmJ/bSO205\n3/xeeAhkOiqWHXCFJg9uW3i232QWZ4bal20lqcmDyg+h62lgbqDrhdu+eBOQyFxPJ2+AbOmn9A3Q\nZKqYMwRmT1xUudnpGXWY89acNcX8CaJEa/+H+orE/Fmy4DVTNi9yo7ZWQfKzBQ/ZTeCA+avrJmgE\n0wQTARMBEwETgZkgYL5hOBO0zLImAiYCJgImAjcBAubUdRM0gmmCiYCJgImAicBMEDCnrpmgNR9l\ny2YAmiUlzzVTAc05KLN0ZEo7CpGB3sg49w+aU5ae24sTscGByPgsZCaGBobH8W3zGXGtzUKRYZUy\nA8/ItlmhnYN/1koYWjIXmdcjqObCrvJkzF0nnRgaGJooT+lNXsqcum7yBiIcsxRjbyrBtTNLkqFr\npgKac/xm6cjUdmS7d97vvyhtiDF10Tm/eun57Tv9Mydbygzu3rozTiqnItCac1s5gVzgcbnsUOaj\nKmHbbNBO/PivNn79rKJJIqxSzq/xQAqqEn3nGoVf9+pz2Ulf3bn1qTPX7xbhumOhKDCnLgWKm/VA\nos5S2JtKcO3I1D4zdeNaqYCK9M2Il4irHWmsaBiG30V6biGuyOwPq5YLdHu92UswqFmmp7cstwj8\n/3pLkmR/DQRjVuSH3xLtwV23Vc6Ya62EwBlnS4FnVE/moyphmzHaU8JVOOs75vz6fUoZibDKSPls\n8qTeofSdacCfjQpNnTmWP3eddGVTyHls97OzeQigcXD+T8ypa77aQKUvau08M9jd3lDf2H4K9mbQ\nM04x+y52H9nXR3zOx9q732BcOyVJhmDUQ2n1bV1D3AMylRtMYWCihEOS+8BmdLhzAE5i3e3tZ2I8\n75SG+IcjBGJcYgoj0RhVxrMiwW8cntoKdjgY6jrcABRVra2dvbCZBWcn8Ic1fS1A+oQHWwcS/wE7\nHJ040taIdGVYTDG4G5i1wIC2tvbDzUByhpdISUIsieoMyjc3NjY7gyLbNAKr6KDTMl1xZF2DYcZS\nhkxXvLUoAwzRMDBpPaUlSGHweFtDY9NTT/Stwn+j43jR3uf9LRSTdQHl2kuuk07bNtRiPUbEb/9Z\nR++vYr2tjQ2NzZ1oThEOGpQmhtqaDw9BAyR6AezYL3RUXm3tne1NDQ3awNPDwnzAT5mhCvFniXJi\nKTxwYBsCBEmLNg+sDi59iBZGTp603LfsJwqJV27prSSdL4DAshnOQP0AAF7f0Hp88CKwmXV2tTfL\ncDHzGE/V/77IBRvrIlzTsAyFEOvCBSXeeF46XleB04u1uWD+wfG/be0cgMxEb8dhGrFS/5Ih5fsg\nVMXe1Fjf2HYqY1ggF2tvbY8USCHW3dZ+JoecbYZNqeYDNRq2GcfZtrL+IQvpm6cHEFIzzM3XzfPf\n0YvMEkpLAVQifhc2pOD0e1tga6IQ8BHAdhcunnHKDawcb1MeLKvTJ8YTtECIMUU5vMg4JQDjlMTU\nAIxRUF7hUpKIC3husGLCIaACSmsZjECaFawqJv7R81FNyYqE1CEctZV8agGDUSNn50/fVlmX3j6L\nqoGuzAUFnclJLW1ShhpGLN6QRGSmIcTSmzeJ7BiCw+cBkIg7DHQjmHTQaZmupKtA1vUDp8xSFs9q\nrBUpqhwD04TsGjSds18isklR0i+3H5vL4oEG5XjRXruo+pt43cZRhTELwUa3IPhH85MKgdZr//Kn\nsE+Rm1J9tQTzrIFUHLQo5eNO2OLIG+4HihabPxPv9/p6enwYYGFKeAGSigJPD4vE36HDn23gwPio\nFB640Ajbn0OHtgZYKGwXiGAPhEcn+KanYCK8Fm+Wh5QGJLB1GMehEcNZdgTizeLvCfqCI7omlnsH\n7VxH/lUFn1F88U0TgiDhCLGScry99hrEkIJ/htPF68Xmy6cU+a89/w2ICJCI1DqCOzuZ92KDRLV9\nUGrzLDLvELvb5w+EXob2szhp3NpEoNdifF0M9uxkVoRBw5WSOduKmlIZW6CLEY+YVvn24tBQCIJH\n4peTw20Bfpt8XfPVaCwcRdhUCJilnCEIKVFLK8czTgHro8LeJMWxwrUTD0CfcsusdJNaLiU2vvPc\nYAaEQzh1UaZBNMJtEWDixImwJPGPyo81JSuSjtoqDH629ADckA8q9Hbm0X2gsGKqVRVaNrIQHUpc\nOL6oSUeIxdXFmdWF2I4iRsrUhc5y/EwoSWG6AtJFGAGRgosnhdJbS5UrDEw6T5ll6K8D/YVxCiGl\nSeVFk/01JkmiNyJhOkUyrjXaQBwv2gQOqRwOenKpZD+9JYI9BmH+w6Q4WCrwGNukCsvbjHxyUi+Z\nCpM4J2UeOKph0hBtRe+kCheQrNoD2Xwcuc96MET7nQIM6HCglJEmzhJxqONXYzdodLqystAo0Tuk\nvqOn+KLmK03DE2KxezjAWYd/6CyEkKwLZ2LpmAGhyk/20NsFvJOAMiOUbdU/GoMbKhqWUbhrUcJS\nhAkKeEdRhHEnlSZgnLpAI2WCxSnNeAyhXG4SNRofyWzqAr40ydQF+2U+MMSYmr+E22zC/p8qyxFn\nirQvqJQjszdxBdjGqRqSIdxGdRk5Zl1aVecTyTtvXcbiPDdYafInjWA8KUn8o3KJaRmJmASVl0hP\nbbVK+MQKKFNVvQo/dXZqWJc4yqsi2qQ0sTxQv5Lpgs/BzqaqZXWHng2QVUvo3jB83cvnAaMqAPnj\nWwR+Z1ioh4/wGHSFyKn6iqUbt+6Dzdhh61LYbpgI99RVEp4USm8tFuP4n/Se0ssEmL3Q3xXL4TYA\nHruNtTdU1K7fekQky2CfW9lfY5KkfB72I8fgYJ/AtQYnGl40oE3jcCgi1rrt3q/AtA17CX9hHbzo\noXNQkmoUeCos0kY7RZLRJjmhhcgDR1NGj7ZOrxIYRWAmgs+Iez63DqQoZSSZ+GUQh4YMZzVbHvbY\nAttrK44PsaWcIl8UoTL4Uoa2aTSEWETGWYs/+Yyqq0iv2rjkts0O0vfyv7z0prWlxZru7hl4i7Tc\nUzseksKybgcXlkgp13A3Gj2DTgqlEf/ipuSp0fhIhsK4y/LCT+bUNf9tqI8kGLRwKjNgnEL2Jm2C\nchqSITi9egl+xMG91PnJyRPNW2hxjhtsCsIheLClTSWIf4DjSi03FSORntrqinhVrWlkJ7yiIUlW\nVRjRJqlXDQmxFCW33r4d5KHQbLKIVUuGLnP6b/aIiFgUSF2kqrQwTwplaK2Kgt5TdgUaUk2GvGho\nmiFJUs2mfQKZyOHSiZqK6KxUHIqItXKRwaNQMxC8MJErReWlDzyqSYZF1l0kWbVHd1SjQ7ukXh2Y\nhbGzR4jzP8s74uukwqlBHBqCRtY0n5jsd1n27//++1SK3hetaCXYipoGpg8N452EswZ/VVeG0ysv\nBqImKn/NA07LoT37Mw2P/ckjd8LBlRZLXck+eEW8/C6teUudVD8zBqGoxDNeIzAGVIJj2t5q2JS0\nOH7wkQynMM8tLxpJlMIL5cCcuuazpTRjm2RIKcYpHMWQvUkdzSACT58dG/vht5Bxqkb2o5hLifDc\nYJm1u63kwOlz45EXj0D8r5XrQffQMBjJ4uRv/ZzJ8rWMRCxP4SXSUVtRw470Rga/fwBfW9Dbif2z\n7+ejE7JC5duINkm5mJ+aEKt2nUCeDZ5NDAeADATvZ6XEQ3f3UhxvfjM+PBCAcUEuAd88KZTeWlqs\nlKdMxvKPCeKhE8PjEeYvzeR40WR/S5AkVVaLfee4xfTp6Kx0KOVeeGqf1RNwWwOOEz8tReXF7OQ+\neViUiNJJ5orrD4vQ1gKrwrV+O3nmWwOJzEQiAfEc7TspuB66jUpTyuhly+csDg0ZzrTkaoa+yFJk\n8OVz+FabhifEyskldPhvKozFEpk1wnYgSMlNqMdS7+Tk3/37ePu0ddun79qC95ENX6ivNCL9gku3\nb3qIHPnzU8OJ8dSKLxh2UjSm78WfxMTQOeitcWqc0RiC5fjERzIpjAZFy++tlzs+X25hHS/YR50L\n3fC01wpr5SOwCAGrpq4wrOBK6wfJfniQLSVYYsWH7IIHnuaH8YUMWDU567fBA25YnfLIpYBxKi89\nB4dy+TjwZ7FL/ih9cg55yRBWhocv7nA2GqAPsJD8CR58gxmQOZkKswJQxgrvFLC1FjBKXvjBx+uC\nO03zYdN6SR1d60KxDr/y7Dwf9VP17tRk3I2L7CDRTdfckl5YqKcJNerszEedaJYAq1l0zU9WAat8\n8R6bVM2jGiC1fzbgkO8/gatMZ156MiX6WFX4BDBZJR10cXlZCAzth7Vv5ulk1idptYcAXp21VFBp\nT+nlbBTe84AEH1ZEWGoCyAFKsEnF3/TkSIAuhbB8yS+6Zunoh7MRr5UtlYn4ngUk4EWD5Q4ZJbk8\nj1JqFGZhoQfc7wHJtldelta9qIMlA08HixJ4vGQJQXx7Al4pUm1jVujQ1gGrwqUB8xdgnEd6zwNQ\nkYIHV9og7EvFIcBSBNpogOGD5Go6X2S4sqzv8OCj5bqmgbWmoIQYMN5J0QjLwBz+vC7+WGoNrnEn\nk0GBWCCuqA0kEMelR20flCqBHX4H7ZqCO2HYSSfzPbSTEAFiyg6vb5QYQ+ROLY0tCT6S6YqgQ3rH\nSdG8AA/M1zRuxkYrxQfEk/9gCAruZF4m7dH6wZeUr3B5xgpUBiO5SjnfnFiluMqKZEBtBYvGArB1\n0KSrbECwJMmEgtI0rChRDqYhxNLpgOm6CLpSjEc6pUWS4KYgr9AmGZmRT6fZWxLMWD1hkuoviuZL\nwguJQZzIpblCQWFKXjSOi0sBR1JsZJyuTDEsXIGp8OeKASCqT5CvB5aDSy6Y6g8E6Xgui+HKyFkl\nvotAU6pO6YskTWPopL5pDGmreHcUXSCOP1Zs1cpXsuUD4z7I4VeiQBktKavgvuVIzvrgjpm+EcNd\nXJCHxs+B6M2d+TFvCFRW1xg2TGU199ALXjsQSSUkIzO1JVkJLs9YQXUNL95IrFEeJ1a5XFmpSFKE\nFhK9f3boh3ds+tWhI8QrfrrIJsyorjb0Bq6AllKXiKKCydR/Ghioh84YD7RH8QOlGkgy8pQzoLJG\n82CmUoew6lSx6Nt2iYHUeCpHuDql7JQ1lkRpuopMgB4WWSx8l5TMlaGHWkf0ejm45IIr7/3SLo0Q\nrowmv/hEFqFc4apO4YtUXAUfM/RNY9TYkKd2TE4XdENNnDAFWvmSUvWLl6XmcmpLFJgm2jlR/KEU\nyYVffmS339V4B39pgR6XHA4WqD+Lx+wbSzI0F7jWrPuDHRsuvre5R/z7hrs1I/pcSJ+BjIUC3d1f\nuqHETgsFlnJa+sPkSzn+llumct3Dzfgm54cgmXxdH4JGNF0wETARMBFYXAiYbxgurvY2vTURMBEw\nEfgQIGBOXR+CRjRdMBEwETARWFwImFPX4mpv01sTARMBE4EPAQLm1PUhaETTBRMBEwETgcWFgDl1\nLa72Nr01ETARMBH4ECBgTl0fgkY0XTARMBEwEVhcCJhT1+Jqb9NbEwETAROBDwEC5tQ1b41YyEzI\nW4Nnhs6cOn6qd1zdWvcGW5UZ6h2cP+3X7GwuMTAQUXZKnZ24idjgQORaeM9vFIblOnv97MlNjCcg\ncTtB6yAvJ56NzYNOMY5pAr4mMtfYpDqrzNMPFQJzO3XluprqO4aKN/+eM8gyw50VDZ08swAvOpOI\njU3M8fA/3NlUQVPncCm1vAkzOBa/U1v7d2GoMNRh3bp7T8/QZdzTKTcM+op05boaKxqPR/TSc0ON\nFRXdY9fscubC1vu3R7J68dd2XpBpM65NTBm1MxdO7tz56HmD9pmBDZee377Tf7EMbSWKlIPhjBq3\npJ5SzmorlGOPtkaZZ5mhY7Wr6yAtq6roHEgU19LEc/FlllPCPPE7n1+NqbYW/nYcu45DSSnDzPwF\ngsDcTl35X4nidb1TqgKatL5S3DSZ79Rt/N6bBgPYtbTFXf/nt9PpUdhH+j2eNehaJMp1q6otAvJy\n5c492+foT5/45t6VcKn6dqvLfc8nl8ql2Hfl5kfcjwirtJmw79qqRqdnU+017+ZVVQXbY39EL/1a\nzgtdDVUd1zcWVPOW3rKakFU8Xwm9NjMbblnOmkMVW95RpLGiYRhuHiiGH9W1m07EjBpXV1c+LeGs\nfFn5nvs2lUUj0EDROxny2p/YaRvUTy/aeJYr6b9V82QAaYktfxEGlgPYPt0J7Mnhr2GPMJOJgBEC\nczt1qRrwh/8Em0UKiVgkEhnjpjRtDhSFa5lEJBKb8idTAZ5SvHXpssSxVsglxkBubJzJLWQyE0m8\n9OuU+hwOpoXxseHhyPiU01luIhGLxRLjyvOPwjhIjiWYYNgDs6amdjllr1Ddm4sj5PQhJNb9d0+I\nQNPT1N4dwfPcB1fefS+ZKpBCoqutqb6h6dQwjA2FdzO5j1RVJgaOH+7sam9ubGg6PAQP+AqFq0uW\nLF2aO9PR1t7Z3tTQ0NxxhvpaGOo63NDQ2Nra2tk7hmJZykQ6W5vq65u6Y7lMrLe1saGxuTPG/KQF\ncrHuw50DcBjrbm8/E+PUtQ8OnYHyTW3HoSG5fGoGyQ0cb2uob2g9Psh+AMa6j+zrIz7nY+iUxhFm\nBxh8mBnc1oVVCuODbU0goJFai1c7uzqam49nMpGO1kYw+AxYKcvpjqjNOTF8qrmx8cFH9wPBMYhO\nDHRC6camw4MJcMXABr4uMwWUD4LxjU1PPYEsYiQX62hraz/c3HZKZ7neZqyei7Q3fS1A+oQHWwcS\n/7GM9J040gYgSZgXGzxl46Lq1rbDh1sbUEIMxY/1tjbUQxuxzqNzVrJ/jtq0WPv40KnmBgypUr/q\ntz3eZid9r1zK8E3DxfPZU4eboVGb27vxWXQu1t7aHoGYjXW3tZ+Rgk4DII0d2E66pgracvmKGtjU\nNtbd0X68u6OpsfPfzuuq68CR0DC/Fg8Cc7rffdoN1FNiFmiCYKi3uIHYIuW1AZZIL0MsrlFkddDn\nID2Bmhwyw5TWruyIwsoEZEfpybQHeW2oWGLpiec5eh6UZfOKUD8acMCxhZb0j2jZI2TxMgcP1vKj\nfcw8PJVZpqAo9SusMFLJla/tO+y2AA9TKtoDRFl2t38kSUk90sDDBPRdqX4nmO70eeCiDYh5gNOL\nuELMTYfPD44hb0g2JCAvBkPD5vMjkpTiywMHbh+CJABTlJRGQSSxOv2BYDQVRblun8tKSEswL5M/\npcPw89IFSIkugTg5dYgh8fi98O0MpXRmZEdAncXfE/QFgX4ME3PK6vSJ8bTWEXZdMtjrRYvA4Hy8\n3+vr6UE+JEtYcoe0+MKvghlWT0/QH4pngnDR5g54IJ5aaCAB1cQIeGF1eSmHkTWcnowGvYH+fiQJ\nsweSFFhqQ8qgLjMETKXh5/YjwBZKVAa14dAbimst19uMAvKpUABCXnD7e0bePosV7R6fC0FKTuYN\nlE7ZuMDFIklAf5zx/Ai4avf6QR7ydRU5Sz2YszbVa58cBbzt3kDAF0zKWLFv5PGiv7qQ7M1CrN6f\n8p6ejyjx/HbA4+vv94MzrlBKilUgGhMxxlIs5FIcgCz+QQdeIm7a3aTBweYeSdJQV6rrwNFaaJ4t\nBgTmlq8LR1hnABnfLG5kyaNDIaM1S8IoBSOyQQ6lTHQBFxvtnFCmGHccRGw+GFKR8JB2m3SKTUVZ\nOIfBlFZB7S4YwFjKizAQ+KI4W4ZhBGzpkfK5r3w8AKONV8TqjFgpjr2wBStlcVhUJOOUbGQYJ2zG\nh2zqAk1oNsz3LEn99jxMTq4QZEZh/HKH34ZZiNJLgrs4tYzQaU8m0MNRVXCL4ARFAEZjyV9wnLEU\ngmzqrNBP4aGjjxUrIJ42cULiLWSjEmgVqXx66oLTEVDgQABhqIK5kOUrZtDxxSo1guwGWOJGp0a1\njsgtJRmcBUtl9qBsNAy0kEBgSCcJRxAkAbMXtDtIgSkGfQqM5pNwVySxWNEZ1BIGGkj0AuY8LJdP\nx4MwdwlAdInAUhsM6mJRmhAr6hrEGGKFJIp0qNVbjk1AQeZtRgShZcAGNuAGwb9R5oWR0ikbVyfh\ntddBDqCaHfHbQXECu0mRsxjAc9OmOu0hSiLqCI7KOKnfLEhYHCEmrn/VNo0mnlOjYbjpZPcEyNmI\ncw80FsdZqgCoaOCnLpnplJqnVk9FNeBQY5T65sGiQOC38BZz7tKSDeQZq/Wo3f/Sk/eC1NFzZwk5\nshtfc1jNGNaLcwgsX5GWR+9dSSrXb8FfZ8Up89NTpGXf54Engz1kgxI1lclT7fBwZtsBeLZQJVUB\nQfD8h50UkpcuEbJvYxXo3npIJJfeVh8zScVJ9nIEetFX7l4JGUCsBEtGl8VewdV0BxxVr7/PSvpe\n/7lc9vp959HsvPYdiQ9+GQITqsDduh0CEHPxqRrcVXBQLqzCvAJFAPJWCZ9YAV9V1auUAtTZfZsZ\n2QiUFXbfSUiWAA96/INicUo1gkREYKKwAgUKjRbZGtWMmi0Pe2yB7bUVx4eUN/TQqRw4lblcyhFq\ncDVQvYsX38tFTtVXLN24dR8892ONabkdlq/I55qDlpP7lta3RX51qVckR63rq1bfL5LtaoMLjXdW\nQpODF5gGO5uqltUdejZAVi2pRKuZDYZ1WQ34XMVcW7Ec7vUxpYnlgfqVhpbzNrPCpIDYya1nWQ1r\nXR/fjILeL610qsZVJVxNQ8AG7LVL79pzTBCWYTfROgtK5rpNVe2k+u6/9TuO7F7f2N6rDT/Jb/Z1\n9Qp56HcrtE0jx3NhrL2honb91iMiWSbHpaYyO9EAWHwdvL6nrmgxN/eeDpziimbOhxyBOZ66rkK/\nt9vIscP/TJdQ8nBu978Kt6TIAZv/2paVxTkIsLChFr+ySdFoVMZL5BOrcdDNjdO1rkKkednGQPVO\n93PPwe8xbdeSwzz/GxF5tYG/lCo/ZWODNhWmfODihnKCB9VEvKoO5MtqpEGSDo2yZE2F63Py27fU\ngeAq0J4ZK41Jad1XeC/kYuDs2SvSzE6IGPklIUupf/JMQAsa3z3IMoy/1zSfmOx3Wfbv/z5/f1Bd\nVUmqpnAE1BZSb4HE91/4mz2iEx4vR60kraIPrbFuV2826hCPPPWjd4Gbkv6EgjvKzi3KBCy+kYTb\nDuZAbsj+xEn/6OT5FzzKuzxoQ83tBnVVR66oh/JRHowwtlyxmTeTNhStixVZurW00ikbV5VQBeO9\n/QV6A33+xOO3gmTeWUnNHLepqp2QzQ9/MyV6A4fu/3FCCRrZO/Y98fqzIln3O2sN4c2Izx3qc8CD\nU6DlhZtIlqA1sLGKYgwjvVSC+JeTWl0LjlHXluuY3x9SBOZ66rpCHm3tED2rrBsfg1ePNmzbRY6d\nPDeWAcLQZHQknjHIQWDFHEwgYwPffYYI/3kT/gbSpqo1AjnU+S+ZXOwf7j9C4BY7+x7cy+9v2rXs\nnVfojzl1UvnFz5MFeO9iPFdZ9xkb6Qv2jADTLY7/0QmtTDxbumoNIYeOdkdy8NJHJAJvfKxa30Ce\nOTKQgLcYfuwKkEe2bSzA+9WFzHtw0/vrDB4XS7keOUs+tdtKDpw+Nx55ERwW1s6sb66C3zLPHOmN\nDH7/AH31gFpYs2GbhQQ6/2kI/mWmasNnBXL0zFAi/NJzxPLVTyvi6fh4IRELPqtWLPJPGZ6lK4WJ\nsVgis0aAH1Dyb1763Xv2QqbyTmNH4JWGc+GxxE9O95F9920gOOP9Znx4IABTBpXK5pPxWGw8v3Qd\nTGhXl22ykAP/+KPxXCYxJg2lNejFsZeHxsIvBeHnWr6QXwV1C+MDz4NTcLOBbYU2FGp1dWOn2uqb\nu9gsu/xjgnjoxPB4hMcKTaguslxj86ewDCQEo+/no8XRpVdKS9OP8hr3lnXbwLvne+GNmvHERE7v\nLJV0/dqUFCYikUTlqt/BWabwdntj4yn+fR6SS45H2r+yUxRcX777d3Twqp6SpflM9Bz8Bpay+l78\nSUwMnYM5OK7cMRYDqI8vRZ5a/b1PaMBRSpgHiwiBOX0sqqw2pX2wUiS44pPZIL4JwJLgG4FlC30O\nW/OnJQRYGze0Jy362I2azW6FB+fpyTguxUOytLjs8DoIW0GR3suAbKtHBDnJkIcWwg+7b8RQsuhz\nKGX8+IpIytci3RM6/ChE9Cj2Q0F8F2CuEltPggVBtkAliWVrLeFUNhpgD7DsPjAj67fJa12CB6yU\n6mJhXBzywhe+jkGXGXBNLum1S17QfEn2aBBWyDH5oln5/RRLALzG1QWQgy8tQLuxZPXQNS3BDepG\nPFa2Zgbrc4AtrnZwZozi4iYmF7c0EvaiJKildYRZggZLye4Dc+P9kmGAcH8Kr9qwvbI+GytlDyXz\n2XiPdIYBwFK2303z8H0du5jNBpSXeWgZ1QZN3XwAFo/gJRdJRtRJoYIPK2CoQAHqNU2gt1mqno/S\nl0SEUFLGUJZgYPCUjauqliWMBOCZAiYazzpnJf1z1aZ67XStC1RbHH76SoW6iqx0WAHenqAtofVU\njudUiIsliOF8D0WKvlxlV5ZXJxUA5UaF1TBoVC8VTSMNX8TXV89OasGR0DC/Fg8Cc/uahjFu+Ww6\nnYYBUE18Dlvzj+PrFFMmrKMppD9ntenjQVUQ1aSppl6Tj9gjRfkMvrPZdHaaOlzpuT1Mw5tUpIe9\n1AXGX5sd8JqDOkYzO8HZvOQbijcwfjZK4bGsLFWViKpkpVpH8EUMuOOAZ8hK6RLG4KNmpQyMX9pT\nvKIzV+eTaoNSl76cRt8mVQSzd3SUU+5AbQIDm5VyiqNKjnygNXgWjYsOqCjpnJW0cGVKwGhcTzay\n1LcKnnFf09TTeipbpm13bCxNJfmkNIByCfqtr845rilnniwCBNRHbfT27rp84L9GwTN5Lmly8PlA\nNb4jMXXCOpoS+nN2sRqeD3JJo4nL5w8r4XEmfw6PGLWaNBev50lh7PCO7SJx3HEb1QLGaw0rU3ch\n0ftnh354x6ZfHToC70/CSgSXwFn5rIT4al1jycWn+q6sVKSqxVRVRZqu9pG+XfB/O6p7RUUkOdr2\nLGoqDB2Nat2pagOR6xbIbm//f1mnqqbv6Khma444s4ptVkrqA0i5oCiFnNk1LucAyNB5J+nhynD2\nqkaUqseXMDpW5Rr3NU0dGV5tprZxStgP9ul6oEaIeqJ3XzVQLWMeLRIE5nitazaoVS0RbB9Tlmkz\nQx103yX1o6FjaDZidXUyuGeSNjUNKw/cdYXn67RQuONrvpGUc901GlCz7g92bCBLdvSIycfvnqdp\neCoXqnYE/CFb/VRFrt+16s17H79XM92VpeuabZ6rxi3LWrOQicCHHIEK+GX5IXdRdq9QKMiH9LsA\nt8T8rbfmonliImAiYCJgInDTIrCIpq6btg1Mw0wETARMBEwEZoTATfDAcEb2moVNBEwETARMBBY9\nAubUtehDwATARMBEwERgoSFgTl0LrcVMe00ETARMBBY9AubUtehDwATARMBEwERgoSFgTl0LrcVM\ne00ETARMBBY9AubUtehDwATARMBEwERgoSFgTl0LrcVMe00ETARMBBY9AubUNW8hgDvcY5rQ/qf0\nvNlz7YoTwwMDEYWy69rlzUBCYmj2qmGT9O6u42dUsrEZ6F0oRceHe7uOdw2P3+hYK2QmxmmayNzo\nrWsKEzGIiakcLkwMD/QOzlPElo6cQmxwYCg2UbpAuVd0/XEC5M7K2emRLNeiuSy3gKeuTCI2tpCH\nffHYV+ow1VbVtw1BoOZwq6rusan62jW3fK6rsaLxeEQvZ25UZ04JO3d2X9QLvxHnmVNbZ6u6EPtG\n7V3Wfd87F7l8IyydiY6x7uaKhk5GzjKTevqyucjx1cL9rtOvxD+YeXRdW2yI3q+spql2x7E5GIz1\nnk11nr3UBTFRGr2JzodrhZ0dsQ8kIUMdDUVoZ860N9Hd4xqHSgvSGpHpbKho7BzWZk53NjHc1kD1\nNHXlSOGtV45t3Vh7uDcxXbWpr+v746Xnt+/0z6Z7Tofk1GZcr6sLd+rKfKdu4/feLDegrhd+1yAX\nKfeAUX5y1LXqyNYnT+UqVzU6PZtqNXtTjXU1VTQcn/l4Q0pUrNz8iPsRYZXeaiPV+jJlnC+B/eCR\nPHkeEqpefsusFH9wngjhfO/Te++eVfXrWKl200Our34aiJfLSJHGiobhEoHyyzd/AiQ14dOdu9aV\nv3ejLPDaYoMGeQi2vs+Hv1ZMxFeGX9dQpGo57Our6U68sMyb3w4IoezpvVvYXtdk1Zo7yRUNnXNu\nuGv3IRJKplPJ76qcdryQEseXOLraEkU02UMnbEeWeZPZdLLjy9WketfBE8Bq9Mxr72gKzfxE1x9v\nWW4Rlsyqe06N5MwNm5Ma12HqKmTGYrHY2LhMy1gYH4tFYgnpeQE8QYCjzNjwMFI7QsqMj08oRXMT\nExna/+A3amQYCAyZk+ypAxQHVsNIJDbxfiYzkUSu1V+nMhNKbeBQpmJZJWDogzSBJ+OxSGSM3fPl\nEnAciYFKJnkeP2VGvXVPuj3k5LfPTxSuLlmyFAeq3MDxww319Qe/9Z0D+06Svv0PHpZvHjORztam\n+vqmbiAgjPW2NjY0NnciBWAu1tHadvhwa0NDUyeQE8a6lYoT44NtTQ31DY2dvWOA37uZ3EeqKhOg\noLOrvbmxoenwEDxEKkiq9fmkMNR1uKGhsbW1lVZnaEnmtZ2KkEKiq62pvqHp1LB6Sw3aD3cOQNFY\nd3v7mRhvW9fAYNfhJpB3Jpbh88FmJlpvQC7W3toOD30Kse629jM5zk2NKKAfBR7IJ55uamxo7RzA\nppUN645AAOTOdIC7Hc3Nx1loDJ9qB0Tajg8WcpH2/Qf6iPj/7G+PFMEIYhIDnY319Y1Nhwchfktr\n16qDeqCxrb2zvakB7Dkz2A3qGttPDRsLbGtuaGhW7GS12roGoRtULb0VWKMLnF4JqMLYcWj7JmiW\nwwPAuwleNH0tQPqEB1vhVBMYGBrdB6zHiPjtP+s4093e1kV/4J9pP3xmLKdHG3rK0KnmxvrGg+7D\nisC3c3JYEhU3REYbQplIRytA1XRGw0hJmTgJkBtLLAEa28Cvtrb2w80YSJD4JpsYams+jD90Er0Q\nerFf8DFcEtsx2sztzXKnQKE08ZLlPPjeIOz7FDeV1/6nO4Dzlp/9K4GLWdix9baalbfdxgrCCIOj\nB0YYS9rBjeYBw8BDn10rF8BvfD7E1eEv0eOCeFp0fN16W3XNbSslg9bv2MXo+miBXPdhAIlGcnsb\n9H1oqONtbb3IiKsZBDSdRVVTGDze1tDY9NQTKn+sQWCXjkMm6WJ3e2vHAOAzDuJoB1c1zMvR3BK7\nZKNBBXEL8j2mvDbZLasbeCTTYbd8Dt+OaH4SeP+IPUApibI+qOwO55P9VrgooCSbBygBgbgSpili\ndUiUhj/o+TacKsnmBUUSz6QFKwn+kXR+lFE1CnY7tUgAwrq4Cw8tVhDmCM6t47OQBrSNjL9xMtUv\nANNjEpi6BOB7DLnBSovH7+8J/S8POC7YA+FRis+oE8y3Ov2BYDQVBdhsbh8SebYE82ngnAQYPT5k\n83PG01GlYjbe7/X19PgAOks4jTSAxBVibIEOnx94NpHQKyup1uWzU7cP2LWIgFSWmFTzxGQ/GGRx\n+jxoi5hljFbhdBh4I11ADyi6BOIE4dS2Fg+1FegcfUgPafVldTZT4ToDJMOAC1NEmcB5iG4Wi5pk\nPJA2rxcRcoupILhrcwc8oKllNI+GYT1fGGBUnAIknH1vhgIYkA4/Em1CdGpghKAKegP9/chrCiFa\nUnteqw4FUY02nx/MBuycfi/iDzoMBNrdHmTItI9IdkpeAKMnQzJVZFU/kGMKDgo7dJfUZD4FXkCW\n298zknhDExhoSxRhsLl6Qv/2/2HrIyUp+OwMpXRoZ6M+MNbu9vlf+NdXFIFvv8LCUoNbf1JXNwRt\nbfX0BP2huIaRC349ELs/nkomU1lgldTYxvAkFkowq8MwDg1p9Yb7QazNn9HFMLamAbZsbHF4keRU\ncPZTIkDo9TrJNM7gIxuC7idx1LK8fDqZxCjAlI4G/H6vExre5vX7/cEweBUNKLS0AhK0Fg1urGo2\nldSwklF+OGgcWTQrJX3Gw0G/HzulzeUL+H3BsMS1C00vtPTIRbM+KwgQgfMVDfJFwXiAoCehw5P2\nYqWz0CAEptkUHXLdVIvFI/XimcUhUMsS90Xs7S1gXwi+Hf2ybfP2PbdUk0noqRZ3P5uHgGcwjn26\nBeanyewIxJPSW9xANqwMl4isVYRIoER8/tFMgDICAyR57Ev0EhL1YsAGR5WOoTAyU+zyIjSqDzVN\nQqMT1uo0E9qcETcy+UHpZN4QVxSrUxdjxZVodtMwCDkkrkmkJ2Z8xFArHw9Al+ynPYB2SyvEch6j\nykY5Z0kQOuIoIIZDJF8R0I+GWb48u2AtnF1G2PQp0/Iy2k8lPwymUCQBUmmWneTNG4Wu7Aphp4ax\n0R1+G5oIugobMiBXoXKGlusB26JesA1mD2qzm3Hv8jaDjzoDJOpe7I1gsDuNdhqJor2U9u0smGzz\nDaLhgdF8socOu3QikW9WMDxoxwvBBADTdl4Eq3FOg0Tl60zKp+NBmLsEyWADRyZTWnXoB4UC2gft\ncSJEqIVOj5M6gQEYDLAvwFWspXrhjzIkmdecVXGEHcfSOPQuF5JiYxwwL2gVLjCgFGsIHPik1mdW\nQUUd2iKoh1sKrKEKVNiTdbjp6gKpKeAu1WUS6KeI0yZNFk8CG5GzbQJvFFwSxbkew6RMnC2Tgupi\n2ABbxaQ43g6732YxY9A6k6mRHidO5wYGM9uzoz0up8vZAgZanS6Xy9OTpbFBuZvzyApu9V0sGtw4\nv/nDFNx5W5w9LMT4C3AcD/lcLpwhLS1Ot8vp7YmyAtmoH1BzeINJWi0KLOlWf2o0gFDag6kRD4ym\nF4vwxBhTOovc3NiLHTgLwtQj92JUMuM4lIhSkzDTwkjO7JzHz9+iYTVHH5mLMEAefPhe+nwZ2eMu\ni72Cq+kOOK9ef5+V9L3+c0KuQotYt9SQ6k/tEzb8hpAa4SE7CQQvZMbP/UAkzvvWTf4iQ/oO7IdV\ny6qN+whJf0CfrOWxXj//sB4y4CkDM72QvHSJkH0bq6DW1kMiufQ2PhrKYk23d7/0MHvp7Q8LZPfq\nisa2jsExvH6zpOy7VxRTcm/1iuT2FdJzgzxJwxX2aDF7GZ6r7NvM6LcgS9h9J7hIlhASpxBZVi8l\n5OObcYbHKlLFXORUfcXSjVv3EbKsil6SP3BVikmWc9g3n79K+MQKyK2qXiWV4c3LXIZ7v+oqkFG3\nQyDqQxStOHpmWVFDch/wLUZokGhsluvxBsh56ncpUWQVelP92YeJGIsAhket66tW3y+S7cxry+2r\nJRnVq4QVH4XjW5avEkgVKSAG+ayiQGPSYGdT1bK6Q88GyKolzGADRzKXitVRcSgZmgfXF6gWOC0W\n+MlayK7aQPoG33ofjpgX67cT8eJ7cConzqr333kR/ERnazfD7TpLiheQrQ8M2so5NEZJYJWcVLSh\niwkNd0uRpwiUyxEdbpiv1v1cc9Byct/S+jZ87sql/NW4xNPd23xrkW1pYnmgfiUWL8Lwtnu/AhME\n/JL7wrpKoxhGd3TYohwABnDZ8LvwSdvLQDJcSo/+7NRJiIBbpTKQpU3V6xoOPn3Q0dxAyO5vHDx4\nsLkhf+HVPtJy70bofpWWJhcJ/GrMYHDTSpHOVu7tPN/7dIOhrjXb9h486NgtkMY/+caTB59+vOEO\nVqkSnhUT8mLPm2k6wq377G4SeK3nTJ+1pcX6y/7gS68Kzs9/rAhPQ/UQU8IK7MUrlrOxAUvNJg5r\nPv2nAnn5lVdeFS0Pfpq2Wgl9NyZ7Tqcu7HgEZiM1VRORW7FcVkOHEeF27K3AjMrGw8o7bE7h0Inn\nX/AetXoaYZq5eok4+1+mhOxAbv7SNjZYQ5ekI44qHI/keMj/RiSW/hQQzUPK50/ZsFIVjt+bbocR\nnabKdU+fz0ZDwa3vHNi+/ibimRwb+KFI6pazIZbcwiyXbNZ8Qbc8e0WarAkRI78kZCmtxarmNaMT\nq5l74W/2iPDUbjJqhWUTjbRyTq7wzUcrcOZV3VIHWVWgPDMmaqdBZUiVleQVs5XbDXrJyGa5jvwN\nSyWVoESWWUoUtjcsioVhSPs4MEO78Yc8pE64TdKk3BXu1AAS1aTckP2Jk/7RyfMveEgfnXfBy2JH\nam6fQp1Ujak0EHgF1VVWYaCuZYGKXqTeggoa21Srbl37EFxE2LNJgJ1LmAepKDDUIuA6TqSpiLai\nXOCKePld+Ri/JYEsa0rcqtft6s1GHeKRp34wzEugx8wselhkm+RXEYa5yOBRqAH3tBMlY1iDrawV\nlOU/gPlTXrUqkgwF1+168nwqKIRw+WiKRG995fELnfgVa5LCr0FzDmZJvndIg5uROPgvmHG2hG90\nFdoRxXF3T1Aqe1mEZ9TnTzx5B72VqFy3xU6O7nni6CN/0rw7fWTfgZMrGR80AABAAElEQVT7Pr8Z\nhRXhqessVCEf8DRjlnFYY2m1Hdmz56Tl0U26PkWl3uCPOZ26atZuh/ukv+tK5AoZeDViLLNqfQN5\n5sgALif+2BUgj2zbiO5J3UYdA+7Z00qO7n/iJHnii3fBaLwJKh17MVEAKvrsiBilt3G5D3JXxHff\n1d7SkV/8PIn/HTWeq6z7jI30BXtGYELEgTQ6Aa8e5DK/hh/iH62SFRXGI5HUHdt2feMvfYRcYj/m\nbjDcvDrsC1ffTUROfcl61Oo9uJnGKKneaLWRA097Y/iSSe6WmjoiJuM07ms2bLOQQOc/DU1MjFdt\n+KxAjp4ZSoRfeo5Yvlr8+pNaEXvnb8aHB+BZA2qcSVoFN//PHOmNDH7/gLzAy5uXWbvbSg6cPjce\nefEIzCxr5XCG/i2+cSERCz4r19IqlW83tLklz/pe/ElMDJ0DmXFd86t3LvCTkvT1nh1L/OR0gOy7\nT9hkIQf+8UfjuUxiDF5jwKR031Wbt4uHTkQmYqcP9Amf+lhJtXChkMebq8L4wPMAMvdDRa4jO1Jb\nrA6KKBrl4gYClxHxH/9lONZ/uo/Y1q/8bfTiXBi96AMvPqVW1BzVMHXDA//0DCHL8R0INs31/Xx0\nomaqwKi58yHSF7mUiJyFWYGFGy/49k0PkSN/fmo4MZ4Ypz+6UKBSYGrcxmOx8fzSdXB/dJVkIl2N\nje0S7kp9eL4ylW06DHMvPLXP6gm4rQHHiZ+Sohg2wBYVQRudPjs29sNvHSItghyOOsmyQUtXblhV\njIF8tei7Zv0OCznZ3R+D10lO/PUzguu+DYaDW1FFuJs6UFu32vrs1NNkcT3LHR9XMyvX/4ENzixb\n7t78e/S3032fuc0IT4POsvxjAgT88HhE7cV5fWCXGYd3bt+NRjTeM/+/ucCOuX1YmY4GEWGabPj2\nRMrXIt0tO/xwShczpBXLtNtiZSs3sEQD6w7wcEB6gJoWcd2aJYtTWWbHDItchls1teL7IJPJkEeq\nAk+DfSNszZnlWOniZHYEZiwp2d39xc/l5xaKaaUpywAtXmoMrlrjckg+GYJH9ZBg3Sgf9VMk3AyZ\n0aCLOeCLZkV88wJL4YqxvFilHCgVL8hrBoBvfyoLz8yl5SjBAwgoy1FMNa4W8PmTSS99QQbVyK9p\n8OZlo+xdGAAcmgDflcBiqTCzH2oh8tQ2WJrJi9BAtpE8XbiCGCiyWQ4PzrDJfA++eAITI8Bgp0t6\nFgNR8CKPEnZ2XxoWc+I9UobFk6aG2XwjcovE8bULSPS9IWqeFVeOIOlNygaUQAQ5pRzRqwNBCAXV\nmIWFAVyXysMqHTSuXiAzBGxxBGCRg71sQm2z+6DFWXMUAwUrMbQihga8zYGW56MUJ3zNRxMYeG1y\nxGtlixzJfjeVjh/4Goi+uVN+B0PbnVIEJqWwhHUZHjdt3bMy/vZQMh8POgBc9qNXCjBqBnxobFPQ\nplf5JqOLOkJPejLV44SYeeVlKexpDJfCVnoBhzpo60/mJfQMWofqS4esgnPqhW8qQX29IhoAY5h4\nTxyXoPSDG5Vb/JHEBeuWQOkBhy3ba1aP0iGXBR+WqCkKEFu8ICQJmMDKK72iwVPXWbJyf8xGcXSl\njy2sUi+eVRyCRvr2gBRyqmnzczTHUxd1gj20U/3JZtPwysZMUzadhkd/09SijwfVMnmolJ6yTh4K\nTCtVFThvR4Ch7Ac8BM3Lx2APXpFOwd3S/QFKShWnKVaGj7AIL61YSIV58wxb1zCzDE1GRab2kq+h\nLYlxyF/lj7Ul+Sv647JLTqWOF6oKZGM3PuVmDcpeowjl5fblaxkc03EE33iSkxIzU7Q4XuKiSa6q\nfnNNO6kIVC6rxitZ8gGHNvSykjqmsI0Gt3GTTVlLsgDfMIR3sozhK2odfOlAeulJ9qCMb7RDY+Hs\nBrdpNeFLMdqpq1QVHTIlGsigRdSSZcfhKL6g0jJaypQbm389pq4b64Gp7bohkI/32G0tLnwZi3jZ\n3f1107UYBadDACx77ZC6n8bfRPDS43Qp6nfYHC4H/vJysH+bmK7Gorgu/S9Bub6m2f/tOPwj5da4\nQeWyfvqkysPeHb0BSsuLwzh9fuMI3iQz1+ScrnVBVzLThwmBmnV/sGMDWbKjR0w+fre8dvBhcnB+\nfVm6NugLSi9noCVVOwL+kK1+WqNqP/PAjhXk9t3w+vw318kLbtPW+tAXWLr2AX/ggaXl+lnz+Ins\n6Ij451/YWG6NG1Su8nPNJ6PJbPOWG7WiVF4c1qz4lNMb/uaudTcIhunUVMCkPl0Z87qJgImAiYCJ\ngInATYSA+avrJmoM0xQTARMBEwETgXIQMKeuclC6vmXK5BRYWNwcjHChTNcA3/JLzqoxMkO9gzec\n8aNcS6+z7+WaYZYzEVhACJhT1/w3VlmcArPk5ijQ/8wswXUypeuJwc56ysPQUTbfAydPIlwoyzVa\nrfySnBb4T87ymGIyF7bevz2ibpmhkcGfzAvzxSx95+02j00EFhkC5tQ1bw3O8ZIsJ8Ly6ZaXZ8HN\nUehqqOoQ4f94S3CdTOF6IXJo+xMPBaPA9/DHd0qmcQZPUVO6JBEulE+XUH5JXvk0lBwyc0dVFfxb\n1UengxgEzw/zxex853Ewj00EFhkC5tQ1Pw3O85K8X7WEiM85WpuAXAMpSOC3xFhvK/BkNHeOsf0j\nOG6O8xdKUorI1CESKcl/feov9vURn/Ox9u43GNcJSNaxJPBUKVog8nFi+eNddyDfQw2+xMYbDPsC\n8PwXrGJBw66iFUbPYFeKtuaOGPgH7rR2xHLjpw43A/lIc3s39ygvd0ZLzKHhwkA6mDao0gp8JZJW\nRteiEmE0d5yRti3QUIH8B+xTceJIGzCFSOwtJYgwrh/zBdgrUYq0nTIEECDWklaoTmmZU9R81VkD\nvM0sE4EPNQI34N8GTBUGCHC8JBO4zQRRKUgoS4Ld6weKFmmnZ8pqgWX8oYSOUqSIEUMhJTn94vOw\nq4XV6RPjCcZ1omedKKpL7UyHgO/BB/8SKTiB78EXpBsHwNYOKpEKMxjIUOCf9J390o4E+SJmCmnb\nDtjxnfmfxn3fvVH4l3z4/yX76GQy4PH19/shE7YPx50LsCSjZVGIOZI8n8i/DwNQFn8PvFIu/y+O\nxD+A/8yLO4H78T+j5A0mOCqQt8/iP0EBKQzS3sAeCiWIMMDO68R8AXs6KJQigdA4bXEFQMl35ouW\ntII65QLbOeYUI2cNIszMMhH4MCNg/urCYWEeUs0d923ZQMiWB7es+23cTd/l2PvwV5Gpq6owNnSS\nWP/E+l++9DW76HsVf0NUrtz2h8BEZnm4cdutVbDxGu7YjTt5w1aqdIvh4N827/3q/0VI3zuZzOCz\nfY6e55offtj6h3+4RSANjV++e82tsC8y8BdnRl48RqwHn9z7F4fd5Khv5D9we2KuLoUhlxqJXLz4\ns2GRiKl3Lo7ELmfZDxzO4IvBb8Mu/k/ubT7mFJ75iUQZXrnm3sf3fm7d5ntAimbjWCoVP2ru/KqF\n/OSNsbHhXtLyR+vIbV9q3vuZ3/nUdoGceR32/ZcTmkqPBdgq9v03oewe6x9+eb9AeuMTANSytZ/d\ntXfXZrl01Src8xmT4D649+GvwXT6Htsil4IGV3c0Nmy+bYnk6aOI0sVMhhd7mV8Dq6yBn5lMYC41\nFhm5+E4KzjLvXLx4cexdWFr7v61HZOYL0fr1Fy6dce4/KdP6BA48OzjB6lavvK2GecHOCXnr5f8J\nTBnuJ/c+/KVtbxsBCE0v+4JNjD91cf8tcOpJZE459o2HH/8TnKBp0jsr55vfJgKLBAHWQRaJszeX\nmwovCTVL5Y/IvgezVcBeuxS2KRZsXsnoYhIK1RvKiLGU0p1QUpIGiTMFiWLojtRyK8OUomfE4Ooy\ngdXrHj94EJ4InjkSb3Ic3CJXhYuqwTz/RU7a1BeYKbbdtYdurWwtsc9vzfavWvf39W35VaBl37dJ\nYaz9wfWH+lCrFQwtSrCXau6DMeATCVjX4ybixL789x722A5sr63whpOPy7zsSj1KF1LQSFJAQ4M4\nT99HmhJFbAlrCWW+aChEOp45uuQbB5thPskMdQDzxXeR+YIg88XWX419Dmh9vEjrU4m0Pv/z9Z8/\nvc34P0k1lCJGACqOaA/wNgCg4JlTIMfAWW0188xE4MONgPmr6+ZrX6AVJ/YX6G/98yceN9jEgm6m\nydutMmIUcaZUs53FldJFLAlcXaUQznhwouVh4K9e4U7YT6ySzBRcSbJ++yOUIsDyxa1rMuJzh/oc\n8OwOGGC531x0x3WFmOMWHX3JmuYTk/0uy/7938cfo+UlhblD9fTWqWhKdFLnivkCHFMpRUoTiBiR\nVuCvcjOZCJgI8AiYUxePxg09VnlJtGpr1m8TyLHne2O5zHhigr2nwZWAmWIKShGelGQcOF9I79kL\nClWQEUsCJ3m6Q8VgY/4LnEymYVep3gi0Q5AsdwMtG6al+Uz0HPA4sjP81BFzrOD5RHITY7FEZo0A\nPIxEek1DrWh0hLOqhrlDLlSCCEO+XOp79swXhPCUIitKEq/oSSv4e4RSVpn5JgKLEAHuedAi9H5e\nXV63zSqQPXctW/42Phnk6KBqtj0XcN51/8ZD8CTNI55uvls2cxn8gKjZsMNODmytOwaZVq6SXKay\n8e9D9tXbNwYOwFsS/2+r/cD+7TveO/t0Hb2+8t6TQEKzFU6AKuWxanJBrmXwvawoTzE4NfnXbmvd\nXbVHkTfkYcbrWv35r7vIzp2rgUKKWH9dIEuU+rxrQDtkJ6E7HsSZa8N9drK9bhmtgD+zJBDu3u0m\nO6119BHhkqpbHzvZ01N3/2o4tXjeaIn8rhUvuIKjylM5pkdRh48ZURZNS5fDCqH1rs+HkvJzV+lC\nNS823dts8NNWKkm/lJ+5NVu+G3BupE1DbJ74X2xbU7nJ1/L5nXX43j3Q+uzFR4fGac2ub/gdoT1C\nHTJWnNcCOEx9rxb+ymm5f+fGZ5DhZTtMu+CU8LFbQJzGKZrPdOjyjRWbuSYCH0YEzD0M57VVgQ8T\nV+SNxrtCLkcqjS+RXCZXWSMt5Bvaj5WraQH1SC4IFJyFat07BPK1ab85g8EInZiZSy5kcqTYEZSj\n8Q+cAOJRfO2B0z+trVIBWtcIYaKKLVcWK4f2gdnqaxi5XIZoDC4pj2+OYgChmmFmSXHmBROBxYqA\nOXUt1pY3/TYRMBEwEViwCJhrXQu26UzDTQRMBEwEFisC5tS1WFve9NtEwETARGDBImBOXQu26UzD\nTQRMBEwEFisC5tS1WFve9NtEwETARGDBImBOXQu26UzDTQRMBEwEFisC5tS1WFve9NtEwETARGDB\nImBOXQu26UzDTQRMBEwEFisC5tS1WFve9NtEwETARGDBImBOXQu26UzDTQRMBEwEFisC5tS1WFve\n9NtEwETARGDBImBOXfPVdIWJ8Qm2/XkhNzEh7e5ewKOJ2MBApKyd0efL9uumNzEMro9fOwLXLmFG\nLk7EBsHsGVUxCysIsEZXTgsTke6u42eG5h7PwvjwwNCYouhaD3LjsVjCUEhufCyh8DUYlpjzzEJm\nAvYDXUzpek1dw52NDR1DM0ByYritoQJTUxe2APAQNtS39xpHRimxmURsTJoOShW5afIz4drVtafH\nYIYq/POB2toj/WBZLvJsbW3T+UjXzp3d5fNRzdalXFdjRePxyGyrX1u93FBjRUU3us+nzCkBXL+Y\nvXStCOglGKvjVV/T8aXnt+/0S2zR1yTo+laeosULOV1TzMqSse7miobOGYau1OiSwkLsG7V3Wfd9\n71zk8qxM4CvpnMr906PC/4jwlNh84amOh4830bGpHlLzcdjnH1Pix3+18etn8SgT62yur6jvkBiy\nSe4HD6x/dvhCR1M91mpoHUjgkDYx1EXPmwfHKdaZsa62xvrmLgpXYbCzlano6I2hzBmmjPid2mUd\nM0Re0mHo3Qz1z0Px6zV1kavpKzO5CRg6YTuyzJvMppMdX6Y7cqfP9oln354RXVHmO3Ubv/fm7Jrv\nhkNfs9ZJyMhlsDYTCRHy4s/gKDU6BizGa5YsJ8JyZNG4vqly8yPuR4RVc6JkrKupouF4GaNfpLGi\nYRjKVa5qdHo21eo3dF9iIRbgi65arjDcz9Y8LYYl1M1WuL7eLcstAuNt0VyRndVkTnVSNoySkBmW\nL9Xiha6Gqg5xJt1V64RiRu2mh1xf/fRMQ1dqdEnmB+eJEM73Pr1X4frRKiv3rMip8R/v67MefmRz\nuQK4cp+0HAyFQuHwPzwkir+UeD8LZ33HnF+/jxRircs2PvHBn4Zf+GOJiCd34XuitVFYvuyep0dG\nRdeyozu/dRaKPbV133Zfj6/l2PZHT+bIWOuy9fuOBMS32HhVWVWzOShGe9zCgfv/27BRU8CvKs6i\nosMqGDXpwFl0ZdoMI++mrXQTFKBkvHP6kU3F46NBhyC4wiA3n05GR0ZGovE8VZJOJlNZdjiZz6ZS\naXac91qIoz/F7MinU8lkMh4dlS5OTtKMZBakpUZBVgqOIDMJxyOj8RSKyKfTqahLIM6eaDqlaGDy\nbs7PrN8GzE3i5KRoxTCwjsAROhBKix4gp2ppsVltznASncuO9rRYBKvdMwqOZ6PuFofT2WKx2Dw9\nUdm3bNDtdHlcNovF4QtBnXi/xyoIICEUxzpw1eNz2+3ei2G/3WKx2N2j+WyPx+UXU/F+L1xz2a0W\nWV06GoQydickX1xSoJc/mY/7HDbBYgMJ2WiAukAszkB6cnIk4LIIgsMXzqNeB7PK7g6msyNgH/pq\naemPRTwu72h+Mp8MOWwWwWL19IxCk3pg6nKH06KbEHcq2e+wu6No/oirhR6gMUm/0w4V7K4AYMMZ\n7wqFgy3ghMMLKEkY2m1Wu3sEbMpGmbrJ/KgXC7W0tDj743mw3OnpB6HRgMsVRDBFPxhvcXgRw6Kr\n2X6vA6620Ktoy2Q+BDlWG7gPZmtsy3DOgiK+BSeL5aAsHsbXA26XN+C2AV9bmq/Lw8WXBxch8Vfh\nNKm2Nb08adzigAG0iWC1ugIjSrMGADWINIfD5bQ7/K9r2lGriDcjOdrjcvdAi6WjPQAzRCxtPn3E\naoNTanQ0UY4Qi801ktW0RVQB5NzrSvz7+kM+p81ibQlGAQBNYGicot6P+u3E0cOA4EKUZeCnUdir\nV/Eoj13VD1ErHVtC6UnRYyVWL7ispFTISaw+WgjzRIhp4k6MAGOcDSIsj7Ftj+bzyWQ6PQI93c3a\nTqqeDQtEALFFKe2CRrK5w3GDa1CYdRlos6ALeh4MpHDgDI5O6BoOShr6jup47/D8Zk9kbg1MhVVO\nP6s7nB/106GKDlg2L6AeAJZce4C2a9ZnwbE7Hg76/R4g17O5fAG/LxiOi14b1oJWDbN2SvvsSPZn\ndbTQbBKI50UvCCIWK0i2j+TZUMUu4qfNK86tX9dD2ggEvS2QivqIYLMJgn80CYA4euJ02CUOn98B\nA4orNJkfATjsXhhT4TQ8mQ7jPGH3+Jzgu1OeWrD/o99eHIZgvIsGvYH+fjcURbTZVdLi+9GTKCoQ\n8AWTkAmguthMyauLArJWp9eFjYCdkya9/H7QY3H6PFDWJo5HPdBAgj0QHp0IQ8+0+ILgCpiRYFb5\n/JBJPD99OxRwQzm3v2fk7VdYF83D5OPrgXtRqBVOoxZl6kpnwyhkJJ8fYb2dWZIMeHz9/X645Pr/\n2Xsf6LaqM190u9cidsBOYoNh8DBJSMI4TDmeJrcrGQbSSuFxk8kM0p0SYIjMI9M3FovpwvbcaVx5\nVkPHfsWVe+c18u2icvqofZvILZVhRaZ98jC11doU5JfKixxPYw1IxAKkCxKRiA5EJ3POPL1v7/NH\n50iyYydO7IS9VyKds/e3vz+/vbW/s//4fIFUHitsPnJ54BEIvL+c3+oivaRzPJcNSOLGO+HbTtSG\n3pXKBGFAcICJmocG5HRjYDrHEwWlWTzQGD2jPrdvRlIlhY1FTtJ7jS7suvK6/eadvLHxN7UtWMxH\n4gZjpx5GgNY5k9K1vg6ueJ5eGih1pZlZwFRpa0lC6RZPhUdJi7vZWMoHdaxOrwv0bZ3lSE9Dxv7A\nW7p2ZDM6QRo10gTPlIC7kNXpdkD3a/UJRT22uHMSxw+jZwpAA0jtnkAcP8Bp2wLnY0ASRKtWeNrC\nvwOz0+0EZc3urBb8QEpjlNyDgw54mA4AEBldF5VLc0Tnom4vt4z0FcPoOKTna8zECB4rBR0a3L7V\nbO70sFIrjLbCbw6ew+QUgOdR+yimZ4iXygSgj0s/K6KJznVlsdVWVusJFT5CZtbrBFzhdwaDZiGF\n4rqkJoaumAW8OgPvFjRcaduJCK11iswV/b2krksIQ9u2esnTq9NIZl1ZeV6VGoWfPTRYFj99wCAF\nPQhGE+yEYgG3w9EJ3dDY2ul0dPbLM4ksjB8O/PggpxnSCD4874CUgoYx98sjiExBxmKH7O2UvBX8\njUdGxjHubjU7feCb7R4f+Cp3OEt6IR5PZwiGAvg2ZA6ksjPw2Ai9nwzoPgBmFvJ1roXM4bLwW7J6\ncBMImZgPfBfE5JVcl92Xy+LHRrtP+l1p/URenDRfgRlTjozUCpyYWMN/HFR1BKAtwjBugA/Abphx\nwX3QaYQfblaIkR8sHvJILUFuTYGF3y1mjq1Qlc+Gg5ItWpXgJ511g3P3hMMwP232aVsyNRu0MxA2\nWZqfOUAu7h7kmRp8FyPP2zoBwwQebpwpWVwMqx0E8hgehMB1kekd3LMEahjdYO4PggLg4bBTh17m\nVEvJzx4aIq9IELAmQsGRS2sMUKbqBo+xkrEFLRjHQ6eOj8pRhZG0ghWeyQrqkoFWhQuslmFXOQCy\nMpgJbVtL5Vp48y0OVaB1nHi8xANxq3dWSIxiT0+cBDwfwG+1sB0xP0VQJq+GhFgc42Zm5RmGlU3j\nR5CCHlvQOWXXBVwV0IraAo/pAAjpOWgUlAqTkQQgIs0kNUse/LxRku25oMPY7ME9X99F5We/Obq9\nXJd8ZaBrqWMOPAPhX5nklY3OUR+eFLnwBH8WfqWjCbWiNCTOSsjg5tP0/HymQj4OPRC7YTlJq02J\nFGl2KS8TkxyY2d6Pp5pKUljJTQxioCkdQey6tD/AkrYTHjrrFK4r+vtzgPiSpexHY8j42INSxHeJ\na4UYG+9qazJ9pQ2hasiqaHjQjvzHTibTb3pZ5Lz/9vLbdzx+6JB9L4Msf/31Zw5980mTVF24oFcL\n39vH96yX1nPX7XBavQe3whbo4EREVChJFfVOyV2p31Ub/7ORdR/3nbp3x/Ydf8L84jcnTyPrPfWS\ngbDhgyDEO6TsOVjj9jbXVG7df5RhMIbgsepgP+HWBjLTIBnkoxbXqNiwE7HvnJvsazJU17e/4EW1\nq6QNJeNtdajinu947N17N1h6xvh8PbjKi0PoAmIsW8oRL4nXkOX5z7wTwHWAov4+BgErAWWAEO4N\nEJT+qLnSUO9m0XtvfwiZpJYot6aImQqanXI+NNRYVrl5+wHoHmCyPlXseMR6/F9+OfEbtvW/wnMO\nSfj8TlnNhu3dLKqWmWLEoHswa9fCBWMxYoVwWgP/q+o3wqe8pfbJe78AtbGaNQ0KP0yopopaZu2N\ncLd6TS2DCtWp2vawy+rdWVM2kD/8BvRY6No1pCkKdFOMLWjBm0rwkTVQYSSt8MX68sLWL4BLQ485\n6ErnbGtJlrbF8W+Lh1bhzoyx6Ih5g6FuN4t2gv0ZZHygcZ1UQduOOkGa1pcoMcDM3i3QddEqhGLn\ncZvremxx55QrwpcCGipsC2hgDAhJxrVViD+v+7mXF4CPewQxKs+6urYGt6m+i36glM/Z7WWC9MmD\nfvTUvgZyG/cdZvffux6uod+PvvSMac8z4P5Dsykx4j+KvvqFW+RKkz1/cwR1fv2h9QQTOXOuLx7O\nZ7WzHqe02Q/aTzXV1OFU0zSl7nNV3f7QM33BfrO3++BLb6fnYgX5AL2UtA03h+1whkRrnVJzZX8v\nqesyGGqhZ2CD+ekxf20FSk/21m1tu+Mv/uH4812klaHo9if6zUd6XT882m1175N/Fihb1M8k6HXb\n+NKwIuG545lj8ITl3nP+wK7N3RPac7S6KhLxCv2s2gRe5uhxP3PnLeu338ceOexl7tuAx2F9MgA2\nzS+TB6BTx56sIoUCHg6KE2Avpt6GseRfm586Do+Yp152IT/5hSu0DQ8/l2L7ve27fxX/DyWv6Js9\nGYPhnjSkvkzh/zlDPRQY4JaLsnjoUpNw4QysU4Cyp3K5Y7ZGNV97gevJiX/52/tZTB82o4yGjVy8\n/k/3o6NPHTyC/gtTJ2Vx7IvtfnsiJ8CE7IzCZa5vkCMI4MeU03M33bEPSLH4bALUlpLWh/HaY0FE\nHW0put12LDfuMB48+BNlJNHSo5K6YWmFLVjMR1FG+y1pqKv72L/MB1chmJq2vvjzXIWhHFXddjdM\nM+Xlqr5tpKuV6mmFgrRay9dsCB5bKklDkw9oCIWKn5qrcyoU5Lu4LdQmg2bVGCRdflKqY2Cj1FSR\n6f7te3Cn76Lb1HI0Z7fHJBFfP6wr/CnxSWL09W7U+Se3l6PKNVsQ+tf3ybMSjH1w8OqXPza6jNKw\nBq5oZ7vfHf767VAAKLBnUvD7nD3pR/WrJVBwDTVFO7cegNnnw/LTOTxkbTshT3tOSG2Bx9WRPjiI\nvf17t/rY2N9tU4ZPwl5mBF0SnxhKhTRwqTLmsl1rnUq8wi+W1HVhW/2vnYpzoZ8e8GK/f2byBdTc\nZTU1hH4MK1Xyc2zDvmcY7+H240zzXu38LA+UCIdaRQ5G3I8/Tomi1DP58/xZ9uOP5edpOK8zHUL1\n2x4/9CzsubyfPq9W/l/vJ+DPpOJJhVAtWIEX5bd+3gpqWTesQ+W/fzcMksyBu8lwodO1asMOBh19\naSzCc8l4em67qpH/ZDAaf+OEHx24tw7/jsTkxEsvIqP8+IVHWfiTmVC8vPYPdAOyThoi4o57RqbG\nX/XBTEgdcGDOnOf/wP17zajlxMlk6BfdoPYdVaur6hGbiHFiLUz6Dn9/Is6l46X+sgWz878/q3la\nxE7g3+HvbaC/FP+cy9c32rF6DzMwTORTpcCFT8J8Mp9TcAViwOqWVyPRV77XjloZ5SdedZcRtfzo\n59MTPzsMkzIY14CQ/d3peMT3An7Sqm3YybYfC6UjJ1rgeeLmglIxHY3EudsZeN5AUqdcczMD9NPJ\n0E9acHWSNLopxha0oI5PcqKprGlCwUOFUbWnoC7Sw1VIry1dQFsrUrA1Y6+f5sQaCZ8kz8WjcclG\nhUb/rRUEk1Sl9SWimzZ+gUFHRqbiwVeh+z1R2KdFATecvnPqueO7wrYoplByND1DAz5pImKUTLca\n1gPIU1xBF53stdn6pgq7PczhLJahiPpzS7904HjzN/dIP8+w/zjj2Ie9WHndNiN6wXeSS57y+dHG\n+s/5nvI/8cAWLJKfbtl6AFndX65OwR95VW0xmtGRH4+Fxj3PI6t5a+ETKj/S9VA3Mv+j+bZ4NJpU\nnrVk1clXZAycViWz97WnA/BM2rfnHvUnwcOP7dWftJBfetWWfcgfOhMPvX4ELzAUpgLblWKddUjf\nJxWalfe9tMuZQbIvDivdrVYEp6Oys15plDQ2451gZc8/C7s2sGysXarV7mzhQztqMroy0laNlGN0\n4UVtYZaMaCTL3IlXmEkKe+VsEC1nrewvbKlRwgFbJO1C4WVrsm8kbcCABTPkDBhYi+1S18rVC2xj\npl/FrNmdymW9sBekIAYAQqnVPSPtdUG20e4BGthCks9E6MWx+ICIlFrD0tZzIX98HE5armx2Y6iF\nsIfIc6bg5GGrLNoTToJcso2h7FwKYXy4RN5HwXtdsXG8SUCSeTyF9VRVIq0q4HM9cM5CTakA3qqW\nKsBxFIwV3o6CXR9ptwlW8wGlGN43lBS0jsNJxCzs7ZOt1tlRghPWEGrnUkENN9jcjuGDLZDMTrwH\noi+d9cIGGU4OebMQb/fAphgk+IBDSTm9bgCKbCzsBmlaUMsHn0ZDduWsTR7Gd4ldUr/W1tXDlaeX\ndnp0pXHp5KrU1hJ8c7a49LMFALOxUfw0BQl+d/kOJrcLGCz9TnWCUnk1iNrwg82x+NwN5uKFI4Yq\nH/miROcknYQoiWnMeDtS3xZSQ2NACBMgEMiJBtj9ykpYFYAPe1pkLFL3IMmRMTjaB51V20XTMH2H\nDVVgrOv2HN6fy2+cJ+AxjlFOQKegy7rgBCRJcP5T6jJwvDYbgwewZnknGe9oqglbJB16hJ4yKp+2\nJscCpbMbWVaGndRQjqdJEqTPlMtsdo0rP0dtCTk0AOr1k5MBifG8XDgnVfQD1Nqu7KnprINerOuT\nWlEr6npJj2kQy+CYelYe76T7LGTobU5A27f61B+svnDBd1nMWCuJ1MxCKspcMM+VSyiAWfPYJW3P\nBgQNTbYQdsk4zGghZuIRIX9ytwR/+OMGHf6CoGo4v4wCBTCbuRRKjYNX6FeGCYVK0MlVcou/5+RM\nzgErA4TeChgbderoSjUmqtKgv2vxLNQtb6ymBVU+cBrNWPCYpZapEuBCW1evX05Przd5/nbQCiAS\n5AyoNWeDqHX0gkDDfOtLNIUEak1yUWCEvjB/t0AypUIh+Hr7M9Ch1WEnX5S/wmzUbg+ji7ZdFRHw\nnRr3+hTvI2XLQ5wQC3rH8QmpuRLGZA6mc1VZSD6MhFq2F5Wit7hQQok+WUiyIu6X3nXNb5YAh8Hx\nhKBVejaZn5iWLhgB/LOEQ3ELpp+HMOVqtnY68YQBzj8qdEvIX2F50W9yYBVmixcfRy/KSiEIe+xW\nu8OOn5Pt0t/nKCXL8p0dd7vVNYNl0eAzJRT+2szlxudiS6WS3b4U4XWed830yTJoCHVaexUupnpM\n2907g7/s3HaLZo36Kgi+zkXwU8M/F/7zn++4vXh9e7GWc1PDr/wy9H5dwwOPPbRNYbeE/Besjxjt\n6x7ZY7etX7qekg6N/Wz4txfW3Lnv8Yc3Fe8rLlg1SnjdIVCy2193Vl5HBl1t13UdQUdNoQhQBCgC\nFIHlQWDJTxgujxlUKkWAIkARoAh8dhCgrutabOv01MRUupTi+A8DcJrn/fnc1MjQwNCY9PbqUjzg\nCP0cUVdELqmkopAO3NSY/EbskjxpJkWAIkARWEIEqOtaQjAXxaoozAEf6iJhX3pGooQRbC/1msoa\nB6bhj2gKiV/btf0bI/FieezRr9TjVGNo7Cjp3KZ6zdv37h+d+qB87g2kwoghihiO7Sd/3I8/fhDU\nu07u9PbdOy8poITCnX5TBCgCFIEFI0Bd14KhWmLCwjAHE51bD1e7xr2d7XsPTqbRVO+O7eYWP4J3\nncLfhhYQr2sKdB7d+4L2JSKSdvBXveQPWWYdtd3bnxlS/6JS0Z0/+YLfPp459tzj65SsEt9KzBE1\nmIVMg/9m2AGvZ4Mj+H+3Q8/AYID39d1QghfNoghQBCgCS48AdV1Lj+kCOW573Lbnnk2m5jYGseez\nkZfh3TL2x+9/6GudyP/rt9J3N/0qk5Je3Y356YgFtK5xnxH538EvNdAl/AIHnNY/43Sh48+f4hAf\nHWszNVpsfVEeRYa/+xSLur/W1DP8+lCXzdRosvUMw8ohHxnu6puAapHhnp4ROdIdZLYcOI78Bx/s\n0sS9ZCrgzGE5JAi1N9FnaWy0NHVNkkh6RC5KTg3ZTCaTrZcE0YwPdjQ1mpqGQ0WKStT0kyJAEaAI\nXBIC1HVdEmxLV4l/+ySLmNX/ce4UQptuhnlNeR382ZuhvGLduqpK8lJbjSyZGKgqtjzK+N+MzekS\nKsibpZAY+psNu88/8c17337qod6pmj/6U3h5RPNXrQ/9yR031H3pH7//9Nvt5v5gWjgXOvzUG8Dr\nfMjdfvIjSWBF3R/tJaFMWvc1Vqo6sB/MJpNx8qKt7Ker/vr73zdxh3f+46vKS4Oiz23fj55obf3S\nXavLxZGv1x9474tdjyLz1sOF8ZBVhvSCIkARoAgsHgHquhaP2ZLWOOl7Hpn3brkJmBobpNfG16Lp\nUKykEJlY+WOrc+cVl1FMXXljLUL/8e7UcWT+a/OfP/R0M+t+rXzTvdsYtMn45w233PGQ7fHP/8Gd\nOxk08uYZREKs4uVAeF23Gu23atOXtm2E+d6D29Q/rIIXA3YzdXX19X9zmkeb9jz5Z3+86S6TGQVm\nZRfKZ+CVuLW3NT70+J5bEPfWGGrdb/6zvzzIoLEPNG+LL1aW5lAEKAIUgUUhQF3XouBaYuJ8mAPp\nVa0fEld0Ft3TcGuxpDwxKbtQTKHNyX4M79u9kAGfog2YgiNB4KAjhREitDXz1wUxNXAkDoh9hd8m\ncAL+VrlE6AptoI2iCBp5vvSKIkARoAhcHgJznzO7PL609gIQ0IQ5EHH0hNDZLET2OVcqWgFCGmLC\nGmZAq7QxHfTyohOvsKi+uhKcDQRM6VNe0S/PjpTwHJ3/YjHIr7+FVcqFJbnHKKErHhb7yjbn3SgJ\ntHFXDbP7V9YoRNAwsdln7lEmiQvjT6koAhQBisBFEaCzrotCdIUI9GEOxPp9zai9758jU4PtEN9v\ni/78HtITQ0wEcdbHGv94QxUXGrRYetQAFXjR78LH8dDQQ+Yj5v5D2/9wnoApmggR+tgfqsEFwSzU\nfHwhlApdoQu0seAIGjq+9IYiQBGgCCwAgev8ZZIr1rziMAeJcSl6gt2rvHw6i+NWuOG96UXEJNg8\nDpZBonuYWeWVoqzLKrV5a/+4lKcNmYEjteOw36nC8Bz66B5S1BUIMJEPZUJgzAeewLf60BVSPAsS\nVB4UIEFVcroIGiu2IahiFAGKwDWIAH2H4QLc+1UjEXlOLK+quOgqLj9oqfRZw8cehoVAkeNQVdW8\nVUSeR+UVhX+ELHI80sjiOb6UaIj7Cac3CuvKiECdiqqC9UAsrCJvAtyKFfhEPU0UAYoARWDJEKCu\na8mgvHqMxOjQCyfv/erDapzUqyeaSqIIUAQoAisAAeq6VkAjUBUoAhQBigBFYDEI0GMai0GL0lIE\nKAIUAYrACkCAuq4V0AhUBYoARYAiQBFYDALUdS0GLUpLEaAIUAQoAisAAeq6VkAjUBUoAhQBigBF\nYDEIUNe1GLQoLUWAIkARoAisAASo61oBjUBVoAhQBCgCFIHFIEBd12LQorQUAYoARYAisAIQoK5r\nBTQCVYEiQBGgCFAEFoMAdV2LQYvSUgQoAhQBisAKQIC6rmVrBJFLJ0lKw8sEaZoXgXRkciKUnJeE\nFlIEKAKfIQSulOua7rOYeqfmAJKPR9UwHXOQfAay2f6v1JFUc9/R9CXZGx22lZn65Bhcl8ThWql0\n5qWduzzvXCvaUj0pAhSBK43AlXJdEKD37FxzCf5U/Ya9wblKr7TFK4Y/xNZiHAEBYosEny4IzzW/\njtHBpjLTAARUrrlrn+OJuyvnp1ZK1VpKxmV+hyxlpmkS1fkyGS2k+uo1RmYVDkamT1dVB71oekcR\noAgsJwJXwHXx6Xg8GvsA4svjJHLJSCgUisjTLC6dTn/4KYPY92LJdJpThj4xjomic7kzWFuDonQ0\nEook5SoiTN2gTiQp1eE5vPaWxjMQLC8qT2O4ZBTzjadLCuLJkh1mjThSaS752JAlTxDfESEc57i8\nvJyPDHf1TcB9ZLinZySC+EhvW0dXV5vJ1NQ3FiGi+YmBLlNj46Hv/6DlwHHkP/hg1zBfeRPKCGAa\nFxlrs5gstr4IWFCiLuQNq7UAo+mhHlOjqWNgUoEFE+gUQCCuA2jaCE1oGOgbOwanZHo+1NP0tBf5\nmQfbJuKiTjrRVdahw2Yy2YZDIDA51GUDbraeYdx+oGFHR0+XrWPolFYKHx1rMzWCFZp+IE6CGpam\nbzzlr8WBUzR8PtHpoKvLhXrbLI2NTSMYDpooAhSB6xGBpY0xlgr2qyCZnUFh1oNvjUb8ae3P5DL9\nUjhFfA/JGoSAhrlUvxWuGRxi3uiYhWlIUQo6jMgs1zR2jgoQMhGzJFWQcTQmCLNeIoNpbpa+ncCY\n7W/GLM2Q0zyD2RYKCntagQD4GEl4e2v/TJHkK5jBOo2o2RNLJRKpbCboQMiBdXYwqDOQywSxtc0u\ndyco3wkhJQNAjIwuj2c08P+6mhnENHuDs2lSKyWEwU6r0+2AOq0+oagutiETztdiXcDb6Yaok6hz\nPCFZWKBAdgZojJ5Rn9s3Q8JaGt0+N2jgYnGD5YRUwOsEJZye0Zn473TSJXZZSX+nyw5CAPyE1+Ue\nH/cAB0cglZNKkfHoT7+jSskJM9ALmvs90NSMIyixSQWdWFUPVtXogkwNn9+8o9HhTW3dAGBodo36\nPIGYEoJTYkc/KQIUgesFAbSUhghhcAWtJMgvjMtkAMqmMsQXpUZh8AmQcQ9GLiMyBpVRhQyaOOAv\nDEydMLRBDN+ixLpgVDazQi41DiTNYfBdKZkXjG2dMBpCEnBMYRhO5cE4l4Iis8YblRSUncG+1uy+\nqk5Lsk+NaAyjcpwFZZ0AiYwbhgj5wKxZN8EtA47CPipbNgNoMC4gxmGLkZPUNbMYALi1sumCujKa\naq0gjOz2ccgNdELI5IBULLFSFSDuyizhGsQu1psVYrjeKGkoqCOwuBGhIbBQjXRgAYno7wXabIBR\n2j01GwRHhj0QcV3gw7RShDBYChKzM55maESpdYPEbOAHzZ73ZyofRYeCuq/YAQa3pAjRhn5QBCgC\n1xsCS7pgmP1oDBkfexBC96qpQoyNd7U1mb7ShlC1mgsXAlkvg4vZk68j1L23DFLdYQjIqyVSry9k\nGMfhe8rRuj9+kEFvf5RFVeWJoZ4Oi2lHC0JrpE2QLObo7D94i1xr3Q6n1Xtwa5mpbXAiAstUJQUJ\nQgbGue880qCKumoXwoUY7HXhDjVmu6mEVGMd7GLd2gA+DPFvj7HotrUyNgICnZGCH7li9m5BKItW\nIRQ7jws0dRXO+VoVtczaGyF79ZpaBknYKUTKd9W2h11W786asoGppGFVNTpqrjTUu1n03tsfyCQi\nFiNkS0qXSIy/XwMXho3IPxk63WMqq9mwvZtF1RdwaQYZH2hcp5WSPQfrit7mmsqt+48yjNpVQNW1\nQL92DYYBiVEdH0WHgro7bD7j8QOVjR0hul6IUaOJInAdIrCkrstgqIWxCqPET4/hzYn0ZG/d1rY7\n/uIfjj/fhcerUkm4kIF1s9fgAT2bFQTh6W3riqnUYVpMRFgoFkO26s3eil3OF1+EWZg8QBmwgLtu\ny59a2PHMMXjSd+85f2DX5u6J5JyCmPvqYcdpeZLGc8CimD6p3h28TBUUaWj1hAixoQ8RqiQEEpWm\nbiEt4uVtSFKgQgsTVi3l7bZjuXGH8eDBn3x84Qxew8zlTuVyx2zbtEQGSViRdEJzFutQboBGuSMz\n3O63J3KC24zOKPWJhnkpnxjApzW/TB4NTx17EtuLk1ZVxLEvFvPBOujr3rJ+z1g2bGe7v/HTaYkL\n/aQIUASuMwSW1HVhbPyvnYpzoZ8e8CKYA5yZfAE1d1lNDaEf48U8aaCDCddZ5Ic/ZuKT+PjExh17\n0NHjJ6NcRUV5IjwTg4fvogQV2QufwnGE/+cFBzI/cXf5uQBCB5v2VL/3azJRK0eiyHNAYLzRAPMr\nKYmR6RCq3/b4oWfBvb2fPl9SEHeeR2wixYuiWk+pf1W/YZRnf3c6HvG9IJ1H0Auv2Gy2opZv9kfw\nWRR+dVU96BxTzrjctPELDDoyMhUPvvoiMj5xtzLq61mA95Nr1TbsZNuPhdKREy1+5s6bZTK9AiIc\niYlztzM7EYvWbNiJDn9/Is7B8RtFpjTp878/m66aQ3o1Yn/0z9OR8RN+ZP2DauhmlQIXPulF8HCj\nJq2Uig07GHT0pbEIHLiJk5MzQLbmZgZUnU6GftKiwqLhg90u0UFfNxmJJIXK9WaUITM8VRy9oAhQ\nBK4fBMhj7pJ9BMnJCNi0aLXCTjmbnfVKj/LGZtjLN8t7XbmETIWQJwxbElkfPmAgJcY9U2KTQrMt\n1Mnija2YU6phbHU0G52wQ4J3SuRkxvv5sBkzC1seSlbnDN48KRSUZ6seQMA1r1JStgOJuFQQAJIS\n1p9sB2K4lAshEZAIjHD4JewhqDrfhX0mxgVUrFs6b2L0Ap5KlfwFkaDWSqnomZ3KzhUcYdEpMOuV\nGCKHbzYnxNyt8oyMtJfMDp8gQQwoqZMugScfxMAG2WHvMyUrD7fQK1TFdFJyuRkvPGPghGlkPmHY\nj4MEH3Dqp5CPEFZ10NQ96YYzGzg1BxKlzvzIrOkXRYAicA0jUAa6Sz/0pfoUOU6srKpQl+BgOgRb\nU1XyPo0qhef5cphnKfeYSjAUk0nl070m67l/DH7zfpUe8nmOK6+q0uYozPLfPM8JSKsNml9QvuYy\nXPEcX64BrlgDkeeRjBnMMmFfsDxvPdglVhShXMBDUwuEFZHrFNDQYi4a2XmmPC9K+hRK56dMlX/f\nnXp1eyUqlxtZhHeGFFtXIIWIgRp5u/CfV3DQf9ScQj6qDtq60LsqKgq7XF5vekURoAhc4wioI8KS\n2VHoTsorqkotYRWMLJhq7qEGrwyturFA19J89XZUFA3P8wvS177Kd0W6FsoHX69klZerl1IW2FWA\nj0Kq+dbUKiVMl6ehxRw0svMM1WePQumC4Ed+/AdreS3BK+crqldaCpxZQgx0KJUcUxTwUXXQ1i3o\nXdr69JoiQBG4DhBY8r2uy8WEm+rFhw01CV4oZVhVv3HN5XKm9a8eApV3wF+E3ZE/MXP1JFNJFAGK\nwGcBgaVfMPwsoEZtpAhQBCgCFIFlRGDFzbqWEQsqmiJAEaAIUASuCQSo67ommokqSRGgCFAEKAJ5\nBKjrymNBrygCFAGKAEXgmkCAuq5ropmokhQBigBFgCKQR4C6rjwW9IoiQBGgCFAErgkEqOu6JpqJ\nKkkRoAhQBCgCeQSo68pjQa8oAhQBigBF4JpAgLquZWsmCP2shIkW00k1jvPF9RHTkYmJ0GW8Lpib\nGhkaGBpTAk5fXOJVo0hHJidCSY24y1I1PgU4ablpGC/TZXJ6bHBgcFqBXn/LTY1NKiXLpB8VSxG4\nRhCgrmvZGor9wZdrzMdxxBYuWFNX80apV+aXVC57ZnDXruEFkxfymOo1b9+7f3TqA92bAgupluf+\nzEs7d3neUWVfnqrc0HbAKc9NZVvqgh+0lFkGQqWKtHkLJNNWyV/zoYE6ZrfjxK9j5/GDh3I75rYa\nsGju9PbdO0MQAo0migBF4GIIXPy9dxfjQMsvEQHDGojCePBX8Sf31Bgg4vANi2CzBjGrLvUtS/zJ\nF/z28cxz9+veDLgI4XrS6GDThv97tzD25JL0pNVrjMw5OTYOjO2XqeoqgHXNar2+c92VNzzifKRB\nG5KlJOUCyUrWRR++9Qa86T94wiZhpdx+lR1kQiDacH6R3aC0FJpLEfgsILC0sy4elsBgEhGZno4k\n8ayA59IQYIpEX+IioVBUjsMkJqORUCROQkTyUJ5f+4JFNHjBOK6ZBHqgyQeIuk5bw/XKNKqQBmt+\npKdjcCoNxo/0dI1E+fjEQFffYI/NYmrqmZwaaYPvjoEowGNYhdgX7bYmi603RCZffHSszdRosfVB\naWS4t2dguLfJ0jdNynB7jEFdKI3g0u8+xaLurzX1DJMZBh/p7ejo6bJ1DIWQGB/saGo0NQ1Np8Xk\nRIetF8eW5qZ7OgbiOEDxSFvHYJoL9bZZGhubRoAXKBoZbjlwHBzwg114Fjg91GNqNHUMTOYbVMNf\nqyRCyaEuGxDbeobJEpk4OdBhsjR94yk1LpdG1aFXVSW1toD43raOrq42k6lpcGJysKvJZGkbichW\ng3oQ3tn/1DebLKa2vgmsrmLgsISaGB3AmLa1tXVNxPmPOf4GQ7mWZ99YpPAWiaXJMMgjNpPJ1gVp\nEOCSkyIRIMVYmY8i9vm/7R0DZTS3v0xIopVKhXqq+fSCIkARUBFYyoAtmQDEVTKSUOzA3x3Ohj1S\n2CfGSKIuWftnIDBUv1URjuNFxSCqFlBKamSCDoQcCSnKl9EMlZxBHGjrukxBp9XcCkG47LMZ1oyM\ngUzGBQY7INhY1olQZyCVYV2AlN3tsRNIXZ5++FbzW10k6lnneE6YAUSb+z0OI2IcwUwQaiNkdZIQ\nZRC3LAwyrE43jonW6kuER+G22emZSRDM5cBaxv5AbLwTGq/T7cLkbBI3pXsWQmtBi6BRiPHlbYYZ\nw6iDgWhaoz5PIEaqZ8KuZgYxzd7gbJpo63RjIzrHE3KTqfx/82utkrlcwutyj497wCJHIJUiOjs9\nuK5RCrcGHUVV9d3XSXQ2Y/9vfqO1RZCYt7qIbRDQy+0EGWa33JlymX5czdrfD4YhJ5vyQWe0Or0u\nIGqdFXLjEAqMsRN7oZu9S8AP5DJBXKnZ5cahwDpjBbc5qY2KyAjI5s5+B/DGTSlbr4c0jCVbHaMB\nEpIOoJNvf/s/cLsHlDBmQoGe12Xnp0ZRBC4TAXSZ9XXVyVDCdI5Cpq8ZxiAcMDA70w+/ZrN7RqKM\n4d9laxhCAGZnYBjqDLwLAy0MK2FPp2M0kZ1xMa0+1gWjhwNHlLyuE4SaNDqwv3H4vFbJdcGCEQRU\nBNfFgAsD1wXYOGAgnnEZkR2jCr6LAWeO8ztheExgMJ0JHGbTDOE2ZzzgXZxx7EKsM0qQRUJshpYQ\ncC0rm83CGO1gleGdNBk4j1wOR+Z0BCA/DCOqNJTbx2OkLSA/FnAw0KCjQGRVfQNunhloLMYF1YLg\n1ezjkBMAlwADsZQU/oJeSWlsT80G7Qz2VUEwmBgIYz14X7luTlFVYVJoSzoI7gXcai4MfcwYFCQb\nnUrPyQBsjBNMx3ha3ZPw2eqdFRKj4LICGfzM5AiC4jEA0QGuSwIfB+pEPowHoGoMJPS38HhRimzs\nDcAcKwBw4AvJvEJIUzi4KNZHTsqtlie4vZReT4WaflMEKAIaBJZ2wRBlEPqq5Yvgq+r/yHj2HA6z\nJQiQZ/3OIw1wDekDdoxxNG2Cxf6KDV8yI/+bH3/ebuQ/PvNS1+H2/l+cnHoN/d66LQ/A4NleU2bq\nGhiRVhWlutfZJ0ZnzR8+esjevvfIcVSttW5V/gYHuRIuIGbtWrhgLEbES2Vr4KuqfiN8iudgiczb\nXFO5df9RhgE+QP3FenXrCcQwe7cglEXANXZeAGbAMX8YIIOMDzSuQ9wHAWgTA1DX38eAkJu++FVj\n4I3X/a9lmpuN079+fXKEffTeDffafMbjByobO0KyGkjAbQ6fULmWWXsjfK9eU8sgaQkU7qAY888W\nKClGe0xlNRu2d7OoGisEdbGBa9eA41BTXlVZyUJbgNK4tgrx5zELJMoVVdPhvharVvGFhxEbCY2x\n6Ih5g6FuN4t2Gj557xdQgEtrGmDSo0vGOthIvLVBUaXgViXV5gPmli2w3IiBUFIhpAQlDQWm1dzK\n1T45o9NTYUa/KQIUAS0CS+y6YJj8wu/j/X/tTxgx9+VH0grEXsgXVlcZbrmtun3XQXetkWF/fPRn\nrOnOmys2PZzLxMa9jwYP7q1vGVZGJK3a18n12XNo/Z4njBCVEZ1ZDaP9Wdifga9UiL24gUAnCOBA\neNEAA3fzy+R55NSxJ2+CqgXV2dCHCFUSb0I+CpkL0CCG1fWQbYByLgrVBbTlvkf97ftbWGPboVYW\nLvzWe7dUVazfM5YN29nub/x0upALD9qrKd/EkEX465SEvbp2vz2RE9xmdAZX0tZVmeguMBNIRbYI\nmv6huVTrgkViJAjA3no3nt9L082+bb93xz4gwfZmEwVwSQqrDIpu1RJZJemePRmDOJjAT01FkKol\n813cdJtOz6r5aGkZReAzi8CSu67aG7QPvTAQnucRm0jxokjGldoNJnS4G3bFucivHF70yI7Nt31+\nOwxIpkM/PPpVdNzLbvzDOi4eivA1ZA+8ugAAQABJREFU9z9ke8aO0Nup/ATh+molMsqdR6jhEKxY\noVpBqNqyD/lDZ+Kh14/gCcFcCYZwmD+1vBqJvvK9dtTK3LFhB4OOvjQW4blkXD4Ik69btfELDDoy\nMhUPvvoiMj5x91xDYcWWvWbUcuJkMvSLbngAuaOqassf42mH6YsNmxpNcGHevaUCJSORpFC53owy\nZJ4D2aur6qF9Y5xY27CTbT8WSkdOtPiZO2/Oa0CuqkooWSlw4ZNemBihNTczUHc6GfpJS/6YRgEH\nuL2oLfquh2Aq6x97PRp/44QXHfgSc5cRtfzo50mei0fjIqqSbqcnfnYYFIADGpeRVq+HJjjuGZka\nf9UHUmW/XQTpwiTU6PVcWCVKRRH4jCFwWb/Y+bGqXWOY7mtinjoOZBsqD7vYjO2eqvUPHXa3fnlX\nPazIILuHfXxTOXe+DobKv9ixqbH+UYT8NxvQ7KvfZg7iWrAc1B/cN9dgSwiu4Q8Y4DbW4XW/L9v6\n0ZETcHHPXifaZa4Hx4VnX6RpyFqWAY7KKQt0G9es5mJRQMa8eQOsxI4nHkBV5S96O7fu3twO/sXF\nHrsX4MQc5LTu/uPuVmZ7PVTxhh+DJTLwewozhQZ/V/zlP3mNm3fVHUbNbnbP7SD9rkeNaItxKywh\n/qkVndm9swLxL39rM5wohEle4IeQj9P6HXCaZv/W6jWp3LNOc/3WmiNwXiL28CapNP9ZtUOr5IlH\nvtSMdtZXg9dA5lWGTX/5rU5mM1N3BBTfmK+DXbRO1UJbTgMtPAEQpOpXl5MlQ43tVdB1jj+1wQv6\nuo/t+D3D8dHR+t11AK/RlRmzPdY/emLDbgbLhFReCwhdPBlKk92047jHzuyFhzBIrTfj3g2pENJQ\ndb4doXi1fFvAs+IxvZ7Xa/8nENEPisAlIrA8UZJ5nkPlVRVkyCmpuCjy2axQWVU1N0nJetd8pshz\n4rzIqBZiyoqq/ORM5HlUXjHHnxkXEqtcCi4WIJ7n+YqKvFjMAFoLxmkimud4rVIF7JFOSRH+DkLT\nCUSOQwtp8IXaosjWqwQaiDr9xWmLgTEFM89sWwIfwU/3VjIok3smz2sBkCqaar+L9NQW0muKwGce\ngeVxXZ952CkAy49AZKjjW1Nr7zjd3u21zwrPrb+sp6R0n+2ZxB/d5W85fNYxfurQ/ctvHtWAInBd\nI7Dke13XNVrUuOsIgZrPP3DfWnTbXk84c5l+C0Ap/+K+vav4VU94g5PUb11HnYSasmIRoLOuFds0\nVDGKAEWAIkARKI0AnXWVxoXmUgQoAhQBisCKRYC6rhXbNFQxigBFgCJAESiNAHVdpXGhuRQBigBF\ngCKwYhGgrmvFNg1VjCJAEaAIUARKI0BdV2lcaC5FgCJAEaAIrFgEqOtasU1DFaMIUAQoAhSB0ghQ\n11UaF5pLEaAIUAQoAisWAeq6VmzTUMUoAhQBigBFoDQC1HWVxuUq5MLL7ZJxeIl5UveG2SshWOSS\nmgRvDlxIktSLx5OlIokshMFFaMR0ZGIidJnMk9NjgwOD00upoxiaGAstnqGYDg0PDoxMJYnZ3NTY\n5OJ5XASxyyheafpchim0KkWAILD0rosLDZkabZNpFWCexJhQby/xAobfSDTP9BK5rKRq7FFzXX39\nhvq6yjLbxJUc5zj2B3WaNPg2Ny8MIk/8iaRefX2dobFjev4a87KbqzB7ZnDXrmGVMTfdV1bWFrmI\nK5N1k3jyoYE6ZrfjxK9j5y9SbS4dSuVnh3ft9rzDRYdtZaY+Vb1SlJo8MfL1mq3mAwMvNNdZBkKI\nO719987QgqL18IOWMlzliqZF6HNF9aDMKQJLhsAVcF3xGT979L2U8mzPn6rfsDeo3F2y4jD8bv7x\nW5dcfQVWhGgdJJj9rB0d/aeXZwo0jA42lZkGlmRIrtr2d0JOCDiMTOc4xKCH0DMFsjS34qDJ0Mvi\n1lLUw4ElWwanNTRLdbkGMWvk8CAQCbP2bofzv9TN9w7cvG6SBh++9QZiXMETfXvW699kf1kKGtYw\nON5nzV37HE/crap3MZbnTyEmKPzS/nfOR5haiGBpRMYbLlaHlJc3PEKqLIj4UokWoc+liqD1KAJX\nF4Eldl1cOll5z1fDs4mHN+HRhEun0x9+yiD2vVgyneaUgViMR0KhUFRyZzzUSSZJiEQOsqPSVTKK\nKZLSUy+Ew0h/fIFhEPBIJ9PyozCPaSLychssvmEuuChJuFxdGC9FmhyQEK3f24nOnIOYkyg03GNq\nbOwYnPokMtwCcbH8Bx/sGk5Ghrv6JqA0MtzTMxJBfKS3o6Ony9Yx+GpvW0dXV5vJ1NQ3FlE1iE/0\nWRobLU1dk3H1eQHikZSvhgZZdaPkGvjoWJup0WLri/LcSFdb71gcofRgR1vf0c4DfuTufKxnOKSo\nt+mvnMaz586LycmOJlOjydI3BtHC+JHerr7BXpttgONCvW0gsGkkwiMxPtjR1GhqGg5BQ2hoFOWm\nh8BAU8fAJO4JhlUQK9lua7LYeoFcFD4F9bCr0DGBPhTqa2sC/lrdgIoHiMxHEfv83/aO8UqVoWmY\nlxfKjQz39gwM9zZZ+qY5FWFQQG8R5thrs1hsnT4Wx/k0VN6EMoIImQUgi9GBNoupqa2trWsCIlZi\nVUI9B1v8iP37gw42xd+gjVqpKEYAwbSSej19PU0mU8cg4CB+zMlVtLoBXXJqyGZptHQMAZSaIrCu\nQ6re1jcyiTuMpWdoGjPWyUoOddkAalvP8JWcz2OxNFEElgcBEhd+qT6ynlYpcJ85mAGemX6z1igr\nyUz1WyET/BBE/HPMCrmwp5UQMUZS1do/M0MojDhGL2r1hnPZIK6hJqsbgrSHvRBBWUqMN5wVZr2E\nnGlulr6dWP7KTkGnEWZdQgZb1+ydzQSdgIjb5wYDXIE3Xc0MYpq9wdl00IGQA8xhHQzqDAAaBFRj\n/9gIvmh2uTuhRmdMMTbs6/eOjzuhrNkLcyw1SeLwrTCDJfZ7HEY87WNdQOqcYftBuv/N0WaI/djp\nZmOgjpFxsrlcohNy+lkhNt7vHh11Q2MZg5mMi8Dc6g6+BlqZXaM+TyDG+aDQ6vS6gH3rrJCnkdTI\nsC7Q1+l2QTt3jiek21ZXP0iE+wwxM5UT9ExmQToo5PH6ghrdsBWZMJZjdYwGZn4JRMZOtws4Wdls\nkVwMLFbst+MahNmM3qLcKHQoxk6YIGcwJeuTIWhrQB7vhHbJkxE8UwEvFmH3jOG4lQ7cRjDrCmQK\nbMG0oDeBztrfjy1zsXEMhyOga302kw27obTZ6fZ4A0ltxwB6jLzV7YFeAQp3evpxixTJSnhd7vFx\nD9A6AilFH0kB+kkRuB4QQEtvhPy7VRiT2yB4G5LIiGAn4yweEx3BFGRnZ2DcRGb3jEQjZFMSeRhc\nnxk7KkgsGeglAvJTRP0zMJ4LXvjlSjQCi4dyxpmQiVb6F4uHXpIY7GjBVYCzyQox8AX20dgMeBTG\nBbZnWBgWnXAhI0BclzIeIR/gNwvDHAxeeXuFTMwHvotxYnCVpLouAQ+L5kAqO+NpBpoM8Z2gh9UF\njioLI6mTxZAT9cjTBGolrQR52XBQkkXGX7sPsvCITx4mcrmUk4FHjVkhMQqje0Byb4RGUiGIDRuH\n6wCM/jBYY7s6QesEdlbOd4mZGT2T3/ybF1p0XDYtr5vEEAOCnSusuAI/0DkMgDqD7+LBXSOX+Ejr\njFCIMGGiWjQLShAms+AAseuS9MG9VwtyDMvCvTmG6RVccgILvgoeQ0C00RlUXEUBIJLWmIaonQW4\nrJ5TUpWC1mchV+n5+qK3CD1uKajeia3GogOZErJSs0E7AxGhVX0kBegnReB6QOBz8uh5hb8EZflp\n9uTrCHXvLYMEoeTxygwkQcjA+PedRxokLcorKk8P98Hizd98z4synLTbrTDAJNzp1/yo9f7NsGdT\nbmxyIO9HmCaLSZz9B2/BJNdCuhBjHOOzARdiX/hNXDSsqkZHzZWGejeL3nv7AwEBJkhrtWpSBhkf\naFxHbo11sMR2awN+EFfSZF+Tobq+/QUvql1Vcucoew6WoLzNNZVb9x9lmGpUte1rDuz09//lPSDw\nAixpCQTyCxxqfjrAwgPC97atg1Wxocayys3bDyBUbSCyjLfVwfe9Np/x+IHKxo7QR2fGWHTEvMFQ\nt5tFO7U0smoVtczaG+F69ZpaBm+lQVoD/6vqN8KnrCqnY/L/fRhC6ECDvDen0Q3XJeDwAuI+CEBH\nMgBU9fcxSFoklXQjVPBxATFfrC+HFUodwjqLPvnglMzk1m0KE6W6BuRP3vsF7rQgq6ZBcusSkYgb\nSoJNqYXQJzpbJIOl0lrMoWLDTsS+g1sZUoFuYCpjukf6deiLPiTkWNwq+AdMiehCWWK0x1RWs2F7\nN4uqoUVpoghcdwhcJdel4iZcyKBmz2vw0JjNCoLwNAyKUmLug8GFJHG4rXL7jxJ//U/Pdz9tRmeV\nQY0/Kzs6IMLDwEf45wu/3E/xYIuvDHiwv+s2GMuvjUT0v3H9jscdiB0PJYQLZ/B6YC53Kpc7Ztum\ns0E7SpIC9VFAvZDp+anmp457ZnOnXnYh/xyDlgHym18mD16njj1ZhaKvtsPkBgWCcYlJBdmtAd/J\n/NG9O+6RHAf/8rf3s1i9sBm2gGRh+Kti/Z6xLD7K8Y2ff3w3PDqQGVsu17et+CwItGA+yTygJQUB\nmk861Qh+7DYtk8YbYfR+/ayYrybplr+HK8PqevwJnLgoKzk0XTm+gXwo0SF8t86im27bCRSYSTZB\niHEFJeVBvumOfZA5B5lCrnzfpLNFDwgIElNvA6WMg143aP2z7AcfS4z0RY0Kd3DImqSXteXMi+1+\neyInuM3ojIaKXlIErhsEltZ1iTwPfw706Vl0Ns1xokiGHEE4i/xpjueT8bSINu7Yg44ePxnlKirK\nE+GZGEwAYMg5zyM2keKlGlzoCOr8b0/tqM/89CmYOshQ1965k33htaSIj9pXbrjPiI4Pj0dga/rY\ns4cZx5fWiVgurJvdaNCMc9dGK1U1NKNf/Pa9WngIP/z9iTiXjsfhQMvqqnrAJAZXMLixvzsdj/he\n8NdKz+Hz2CUIGDAxOfHSi8gIz+UlUtWGHQw6+tJYBP9dWZqPjxwBBH3u5u69L8QRRm/s9dPyiRqY\n06gJt9S/J6cnwMvBuAtJckTJSCQpVK4Hh3ah+i4javnRz5M8p/45hNZZ1TbsZNuPhdKREy1+5s6b\nybSh5dVI9JXvtaNWZi3hCbMZLZPKjTuMyNv3s6l0Go7j6HWT6cF5btlrRi0nTiZDv+iG5cU7sM/U\nylUJCxBGOotq1jPoBd/r8WmvuhigVtRcVEnqTU/8DMjWaE9kaIiUS50t+X5Zjfwng9H4Gyf86MCX\nNkjEBbrddtc+1P21oel4Mp5cq+8YQF/KOp2s/8BMKwUufDL/A5Lk0E+KwPWCwFKuekp72goyeNEf\npwTZiMe5njAszWd9ZHmKUDHumWx+ywfvWuNtDVauwLTaYa+rX9rpEGKjeFULkhFv4YS9sFNGktUV\nE2ATxi3fwjYOLO5fC0ndvQvjPScXHBtwy4dcMFBC2EPmWs5UKgi7L1LCpqlbicUX2OqsF/Y3pGR0\nSdBJYKji4HZGQc/seg02t5q9sZyAN3UA/yABHx/f0G4uwt7OODkXgDmbx1P4AI4V701m3VZJWHMg\nIWRjo/IdFq3SSPLhM4YPj2AGTtjsjPns0Jbk3joOdeW9rpyeSW7WJ8t1h7OqbhLHmX4z+esCaH3p\nkA5qdsMmUKFcvGtFdhNzeoT1FuVSbL4LAQ6klitTBHJ2VuqHGGSpu2JlMJk5mM16rNq9rkJbiNqa\ns0vNbjhBIVfR6wYbhx47AQc2LHVFSRV5aDi864YbDu906nBLBTR9hs33GQk4+kkRuPYRKAMTyPBx\nZT94ni+HeZYiBKZIWcFQVTXnJAIIxPKqfAW5Ip7VVVQotTARqlJvFebX9DdYiFSgYCoJkwo42Y54\nji8Bx1yWAnXF3NjmsUTlhHkhG50OmkKMdym+0Lj5RkH6NtJUly4LdFN5xkfa6vduTOWeISvIeiZY\nIVnVuXQDsSV7TJF8rJ+KsCpdJtOWFdfU5ojTFgNjCmae0a8DakmUa2Cq6bSI6zNVv2gJvPr09nLc\nsrpUIF97q73W1dHdaGWJ8NqU4p+QjpzeUASuWQQKfzxXyBDN0IYllFfM47ZkglKaad0f4VKK6AqZ\ncHXYgoV5QeXlyk0pj5GnK7xaELVOko7DXCXQaiXx1jeuvo10jPFNgW4ST/hbtPq9R4zOgLLzqWei\nUUhzqWc9l3J6KrjTciispC0rqihlRIY6vjW19o7TsD1odzJ4cfJiCZjqYLvgR/49qNhvAZ8C+dpb\n7fXcErWy4FlnbkJaQhG4xhFY2r2uaxwMqv4yIVBz+5Z+T8D7zI5lkr8IsTWff+C+tei2vZ5w5rn1\nOpe0QCaG+7yegDV/2mKB1SgZRYAioEXgKi0YakXSa4oARYAiQBGgCFwOAnTWdTno0boUAYoARYAi\nsAwIUNe1DKBTkRQBigBFgCJwOQhQ13U56NG6FAGKAEWAIrAMCFDXtQygU5EUAYoARYAicDkIUNd1\nOejRuhQBigBFgCKwDAhQ17UMoFORFAGKAEWAInA5CFDXdTno0boUAYoARYAisAwIUNe1DKBLIkUS\nHprEdiZvvl82Ra6s4OT02ODA4LQSrFd7K6YjExOh/Htp51SEmxqbVBjMSaQWiOnQ2ILYqjXoBUWA\nInCNIXBlXRcfGWw09eE3dC8mTfdZTL1TF63BhYZMjbbJ9EUJVygB2/+VOpJq7jt6ESP4KUtZ2XB0\nAYP8XLZeJodLrc6HBuqY3Y4Tv46dx8ort2Nuq8EyEMqeGdy1a/ji3YM7vX33zpAUt20uAzX52TPD\nuxfCVlOFXlIEKALXFgJX1nUJ5z5i54oaNTdOENPr7ALmIVx8xs8efS+1ANK5ZS1jCYQOYRwBASI9\nB59W3t03hzrltZZO11015dHBpjLTwGI8WMhSZpqGCgqHOQRcLPtSq3/41hvwUvzgib496/EL9ZRb\n1yP/u/MRphYZ1uDXC19MOMTHgpej37jwQGwGkEXf33dRWCkBReAaRuAKuC6Ri0YikWhSjh7IrIK4\nUNPTIQi4hJPIJdPyczaXhgBeOCcNRVw0T0MIyQcE+ZLrIT4ZCYVCERzLChIstlXe89XwbOLhTfIg\nJS+/pSG0U1oJXAiVCNuLP9jnRV61KxILC0d8kt7EOj3UY2o0dQxMgn2R4d6egeHeJkvfNFFdFC+s\nWvW5+HDLgePIf/DBLjxTCQ0DfWPH4JSW/ge/HutoAjaWvrEozHF6mp72Ij/zYNvEuzxwqITRX4wP\ndjQ1mpqGpmGmx4/0dvT09TSZTLbekWKQklNDNhMui/JYgcqyUI/N1tbW1tHRhvkrrIZDmqpKJvDn\nI8Mt5qOIff5ve8eghTW3v0xw/A3aYFdKLR0rLtTX1tTY2DT8zgUIcXWsu8NiasJyQe0esJvo39M1\nEv24lBWrKhE32NEGZHkrSM+5au1LBVEEKAJXEIGljduSDfukEEygsRHCGbEujer2sJDLBCH8kgMC\nbkFEIgcyjkNYp6CzgCaII0XJgZcQ6pwVcsKsF8dHMprh0xmEKFRZjxzayozvcMq4VMEQEKofqkNM\nL4gIhYw4n/FAnPoVliAgFgSMjqUSiVRWAsrphhhMqHM8IWNidcpaZwMMYgLxsKsZvpu9wdk0Bs3o\n9rnBOBxcSsLQ6vzXfxvvd4+OuluhNJhKBbxOqOD0jM68+2vMIZMb74SSTrcLwjlZ2awEmtXtwU2Q\njz4lAzULXJr7vV63LyEpkIr5PB6vB3gCwv/qg2Kr0+uyItQKbSQlHf9kGBdaHaOBGQjUlsuot7/9\nH8DCEcAxsZAzkxNKsZoFTZG50+P1hRNBM1w3u9wOMLczAW2Nq0NUtizU7wy8S5o+bwVGw9gfxPHA\nrGxGY4WsI/2iCFAErnkE0JJakAC/ZHSOk3EsmwVHRVwXdjbS2AeOSokoCCOZ02jGrquIBlyX0enz\ndcL4hL0dJNYFY5fk8DT6qmEANXkz/TBYNuORUmChjpvUDzoY1DqqoVoRl/kYm0bXOGhoHwe1AmA1\nHtPB5VtnFH+ghgqcARwYFxgHEEGAyKwQw/VGY3r6bDgIURNx+EEAAZbagsBHxmoWhnNHABiEASZn\nEA/6jBPcvEDiFpInChWbLAbQ7pvFGRqoU9g7WWeyKfBgrd5ZITEqOUVSr4B/CserxPzlpNxilwmR\nSJXOUIKVEPPCAwd0D5ywdOQD7WYlu+Tq2HXhcIuFVkg9CpydYzyR01oha0G/KAIUgWsegSVdMOTe\ngaHl0MP3k90LKUrRBRj9zBCOr+LOA8zGf4fhRE1i4nf+zA34tpDGsKra37J37+HaQPa5TYTXlgdg\npG2vKTN1DYzEYe1pjiRGh7cePO5i/3tDBRITZ84gdGCzoaysbHs7i868q1nVmqP+1c0WLsRgrwv3\noDHbjRW1zNobQf7qNbUMgl2wC4j5Yn3RLpCAMkADK40AETpqrjTUu1n03tsfqPR8aKixrHLz9gMI\nVQMXJOJVSUE94PDJBwHYBTJAZv19DJKArMX8RGiDwlRxz3c89u69Gyw9eLlPSdHv7jpsdf9Dg3Bm\njEVHzBsMdbtZtBPLgsQV8sfiefwhpYJbOZcrwSr7QQharyEfD8tYB6udtzbgKbQmrVKuS1lh/JPP\n34JKW6FUo98UAYrAtYnAkrouhGoR0vknAIW5rQZDU1EBZZBg9ILZFCTx3NvkG38U0MA4am21Iv/3\nfzolkVRsejiXiY17Hw0e3FvfMiyqFXUX8e4NEPE9YLuHDHjCv7OwIJkShCwkQRiy5odBXa3lvZHH\nfMSf1ehBxnpWk1F0KVw4Aytl4PVO5XLHbNtwOabnX/72fhbnh80oQ7jgEoMiBJWvrpfvuSjQqxSY\nqkRqePi5FNvvbd/9q/h/SMXR4SPdqPlbjzegqtvuhnkbixcCc7k+OVawYXH8ZZElWeFzFq+f1bS0\noNUW0FoFVqVCc6JktjL+Z384CSI0VmjYlTCXZlEEKALXDAJL6rqq7tgJ2xPfHYzzcBgjEoqSeY48\nuMijhsGwCrG/i/Hi1P/8ez+MqhJQehqYWxjvs/1w1n384PYuvC2PuHgowtfc/5DtGTtCb6eyJIo8\nz316Fp1Nc5woYuaTvdbDyHzUelca/lSK48vrPw/Ozzc6A04TzoCw4fRKbpPahp1s+7FQOnKixc/c\nefNcqq6uqkdsIsaJtRt2osPfn4hz6bh8bkWugiH/9+T0BCy3YWzxcO9/f1axvWLLXjNqOXEyGfpF\nNzww3FHkzZMTTWVNExI5/HlUKF5e+wfSkwbmL0aOmI8YHY/W4JMw1XcZUcuPfp7kuXg0LrfuRflj\nLsWppphV1cYdRuTt+9kUnLrRzPmkulVb9iF/6Ew89PqR0kcJLyCj5Vv9Ln+7fSJZZEWxfJpDEaAI\nXGsILKnrQrfbwz7rkQP1lYbqus3f9s9iNOSRT178qrjnLxzGo1srDQenjM3GevlJWk+zurr67Lnz\nFesfn/XaD+/eMBzlZ1/99ua6Slj6291t7P/v+6o49rFKQ2XdLhaxe+urH3weXF/6zTFwhd6d9TU1\ndXWP9p9G5Q3/V8DVvZ+BFcPKus19U9ppzYpoJXUuBNqsf+hZp/nI1prNh81Ox8ObNLjJqlaT7/U7\n4KDK4a3Vz1f/2bPuVnZXfXVNff0/R8nYjjGs+PJ/c6DDu+qYg7Bg+Cn4k8o1cErFvPXLkxwiHCr+\n8p+8RiDYerDZze65/T/BuqOUpJW39Du/Oo7u2LSO5Invf2NrfXX97lq7Z8ft/wkIL/zbBLgKf/tu\ngPgrR9967Pio9cj+usrq+oOvKEuSBfzLoSllAeRLuTXU1ivZDEiuKMFq3Y5+n+PIge0g6+V3Cpcz\n79nrhMXK+q37gcsqQ3mBFZj12Qv12x5xIP8/vejXWFG0AqtoQb8pAhSBawuBKxElWeThcHq5tNdV\nEg04Dp+tXFe1qIFEFHlY96usWlwtmJ5xl1CrpNZXPpPn+Ioq+az/nNIACBjsyzF4ADTMKQtgBItF\nPRdoDh0VpiivKqyHBY61lf2fDeyY7R5FekkJSiH+xm1dAfNabZqbv5aq6Lo0Kx56EjG2gH4xQi5q\nRQFveksRoAisdASuhOta6TZT/eZAgJ8YfPmWv3hcczhiDkKaTRGgCFAElhUB6rqWFX4qnCJAEaAI\nUAQWj8DS7nUtXj6tQRGgCFAEKAIUgUUiQF3XIgGj5BQBigBFgCKw3AhQ17XcLUDlUwQoAhQBisAi\nEaCua5GAUXKKAEWAIkARWG4EqOta7hag8ikCFAGKAEVgkQhQ17VIwCg5RYAiQBGgCCw3AtR1LXcL\nUPkUAYoARYAisEgEqOtaJGCUnCJAEaAIUASWGwHqupa7Bah8igBFgCJAEVgkAtR1LRKwpSOHNzmm\nOemV6yK8il1++foC+IvpyMREaOH0RSy5qZGhgaGxJGbBTY1Nkosiqus5QwxNjIXmNhtemj88ODAy\nlZQw0N9+NhG7nnsDte1aROAKuy5+ylJmmSLBT7ToTPbZTB3DRdlakhLX8cm+Rnh7fFlZbzHHEuQ4\ni4tHootwCnNwuTLZ7A++XGM+jt/6zgVr6mreWDAc2TODu3YtGj3ViKle8/a9+0enPsBvteVOb9+9\nM5TlB6GdBkIqzdJc4NYvG45ehpNdkB4ivO15kSk7vGu35505EBcjX6/Zaj7w45OhDzBb5fZfBp8u\nM/VxMmKLFEjJKQIUgSVF4Aq7LgRhffMxDxXNxfemjvq7Q3OMHApVwbcYat/51D5fOJNK/NUWiJi7\nkMT9oH7zj99anJyF8F0SGsOajch/8FdxHAsS4t2TgNELZLwGMWsWCEERR/7kC377eObYc4/j2Cay\n6PKGR5yPMLVFxBfNCFnKTNNzeY7yWkun666aglfbX5TnogjEQZOhlyVhXxZRz7CGIbEqS1c5fwox\nQWHsm49Lb9CXb7/1fzQ5nri7ctGNVVoGzaUIUAQuB4Gld11cMhoKhaLxwskOl0yS9TG8OPalZ8Oz\niWdulxSHhTMYeSCaZChSWEdnmRBDxr/as6lq3S23kMgnPBYU0QYi1OWIHJdO4Ghhn6ZgZU55MBfj\nEaydNNTxHA5LiaUjDrKj5Eon88rfuF6ZRhVS6C5+pKdjcAriPMJF10iUj08MdPUN9tgspqaeyamR\nNvjuGMCq43CdL9ptTRZbr+T/+ehYm6nRYuuD0shwb8/AcG+TpW9a9tlcZAzqQmkEl373KRZ1f62p\nZzikMU78mONvMJQjPtLb1tHV1WYyNfWNRYBAyxnuJgY6TI2mtoFJ7K34UE/T017kZx5sm4iLWiky\nZ1G8sGpVJfax4tRgl8lkaWtr6xuLauzqmpJWLTUaYh06Onq6bB1DISTGBzuaGk1Nw/nnnORQlw10\nsPUMQ9XIcPcBP3J3PpY3R1ulyBzM3Gax2Dp9LA7DrKbpoR7g2QF2gVEHW/yI/fuDPSGAWnP7zudu\ngscwrZsODUOtRmgzbabKk15QBCgCVxABEqB9yT7Y/mbQ1Wg2ItQ8I+Ry2SDMJ1ghN+tthXz3TAZy\nrMQaxoHj00PKBJ0a8+xhKWS8VCZ/ZgJej8ftYBDT2Q8XvpiQC3shXrKUGC+pU5CTYV0KAf629rO5\nXKofy2bAnSGjYxaYeLBWkGPEWUAzoxN7hW+CTqu5FeCyz2ZYMzIGMhkXqOEIAmqASGcgJZlgd3vs\nACdCLk8/fKv5rS6Cded4TpgBs5r7PQ4jYhxBGU+rE8DGSQiDDKvT7TAj1OpLhEfhttnpmUkQoEkD\nKaID0BhAhZpd7k4sKqbnnJ0BSI2eUZ/bR4ASUgGvExrF6Rmdif9OKwVaHqdsAEoDmZxkiNPtAqaM\nM5i3C26hG+g1FLJEB2TsD0R90D5Wp9cF9rVCe5GU8Lrc4+MeYOUIpFLEHHOnm43J1uqqpPXm5HKj\n0GsYu9sFyiJnMCVxVNUD+Dv9b4FRUGr3gOKAHrZRuo0HHSAzJSMm9Vuj2+cGTVysJF3iRz8pAhSB\nK44AWlIJKfiVm7UOgPzO3R74zSO35ufNOo0wyEqipYHDMZ6CIRhGFIcyoOQVy872OxwOO3Y7rZ2O\nzs7+cBo8IurHY7OAfaLZncWC9Dm4PnYGMJjLgvDQY4/hm0SnIig70w9sze6r6rQkfQAEowP7G4fP\na5VcF/h5J3FdWG1wXQCnAzzMDIz59lGoBb6LDP2Q3wlWJfA47UyE3WBBIJWd8TRDcRz7bCt+biCJ\nMDGzgBTmZmWzWYwJS/wWEKiuSxJNYPTBkD4LPI2/eVPPGT9kgCCZM/4SWKgXFMA54SKNFEIjM88F\nwcG1Yv2DDgY7V2IX6D9DukFhXeJvwC3Bowau550VEqOSCyRM8UdqNmhnkNGFsQJznKo5BVUSuFeo\n5gQys4CXIwC2z0JPU10XaIXs48A20AnQgCuVjZLFKbdET2cmb5QRNXuzQgzXHiXdSq5AvygCFIEr\njsDSLhiu2+G0eg9uLTO1DU5ERPAJyFCN/Af2tzvGE4/fU4UzSBKUC/IN4dtbH71/HSrfsI3MfnSF\ncFOx/slDhw49dwhGySb7oW9+88m6d17zo9b7NwPDcmOTA3k/Sp4uzJFCzpPI8EQRhGZPvo5Q9158\nzqPuMHAlYgQhAwP6dx5pKBR65e8xCGv+8NFD9va9R46jaq1ACHqvJKymcAExa9fCBWMxIljFwmkN\n/K+q3wif4jlYGPQ211Ru3X+UYYAPUH+xXt1gAjHM3i0IZRFwjZ0XgBlwlOCBq+JkrIMlvlsbYNC/\nkNFxvmnbwy6rd2dN2YBy9A6J2AjMrFBKAdta5vew/oYKdTsNL5LiypCK6maQ8YHGdYg7M8aiI+YN\nhrrdLNoJ9DiJ0R5TWc2G7d0sqiaWwAevmlOiSt4c9MkHp6DdDSDvVuhpMpDAs6KWWXsjfK9eU8sg\nQ94oLA8kYjVVCSQLfxhWVaOj5kpDvZtF7739gZpPLygCFIGrgMDSui6045lj8ETs3nP+wK7N3RNw\nthj/7I1G1P7sT+Iaa+RhSM1hNtbg62yCVccztUy54DUjCK7/Eb6HgeVTPHbBgFOYQ0rJhzyKCxcy\nqNnzGjyoZ7OCIDy9bZ1MwtyXH+jzta7G1dlzaP2eJ4zIj9CZ1WDCWUQOD6RCgMPFEpALAgy/vGgA\nBJpfJk85p449eRNULKjOhj5EqBJDRHC6GGdBQhZT6zhXodttx3LjDuPBgz+Rt9EIKwPhjOaTcpa9\noDItJb6oLtah6ra7YW4kz6j6tpEnH459sd1vT+QEtxmdUThVwC6dlEpVyZtz0207gQyrS3qaUh3x\ngLua5tVTpQLwL5yB1VtA/VQud8y2TVNCLykCFIErjsDSui4xMh1C9dseP/QsrMi9nz4P6meQ2fnS\nbKe/pd42hMc7EY4y8+dhyL3wKS/K8yHE8pARnfjhYcT8yV2KR5nb9qoN9xnR8eHxCGzjH3v2MOP4\n0h1FOSqX//V+QuTT8SS/cccedPT4yShXUVGeCM/EyOjLgSpsIgWqKLrMLXaJS8iADxA1HIJlLFQr\nCFVb9iF/6Ew89PoRZVJYSiSMrTB/ank1En3le+2olbljww4GHX1pLMJzyXjRSZOqjV9g0JGRqXjw\n1ReR8Ym7iQMoxbZE3ur1Os5iOhqJc7czO8E1ymjhcd7//mx6fim1G3aiw91jocmftPhrpdmuRtrc\ndWvuMqKWH/08yXPxaFzTPpUCFz7pRWQGh7PHXj8t/4EcmquKJK9mPYNe8L0en/aq024oqG3YybYf\nC6UjJ1r8zJ03a1Sb75IY9f2JOJeOxxXp89HTMooARWApEVjKJUlh1q6qZu7EW1FkYyAImwuJcdj/\nh7MS0s6WSgX725ocpj8w954B3r2HswyyvmEvOEeSrC44tQGpOIdkyhqZXbARk/XhswpSYtwzWRbv\n/8vp6u+0B51GaV+Q7LeZYUsuMe5U1ME7/3hzhXGSvS6ztDWIq7jYmA+MgvU8SNbxBDZ+RkEDSqVa\nCk4YGdaNfSNUIedZpP0/ZcNK3rnJemC3DbbZlI0c9ULLWTprA4wcvlnMF5IQxuc5yFkMvRRSmm+y\nRH+zvBYMUoiGLrBL3fLU1VV1gAaLjcotZHTJFqUCsE0lJdKmuSA5raJuneqqqKyUixTrVmprz1bE\nnFK/MDtx/8PEZtxppaTcSmqre105IeZulY3ylDpcpNSn3xQBisDSI1AGLNUf85Jc8DwnoMqqCmUN\n52JMueneaoaPCYduX2gNhaPIw9NuVYXmMb44B2h5mNKVw0xLqgYkWcFQVaWppfBbCd/YgvIFgYcp\nKzRmiMRM/GfGJVIhcQmSubM0nGHODBPCAiE8L0rwXlTKWEdZ29rAqUM7ioXNXRfEA39te4kcD+2e\ntxQrqDYwZl1cRSOwiFoq4zleC6emwnyXczCbrwotowhQBC4fgfzv//J5SRwqFjsA4EWnCvKXWotU\nobyoVnEO5q0b9oBEM94vUuKVJy9pQUmxhZTgnUvSkcxC4rkpS5RoOJeXlxCieo25pIjxsb9tf2XT\nXR+1d6N+FjawSqS56sJJHJW/Ug18u3JJvjUKSvnFVTT0RdRS2WK7rSpJw5peUgQoAlcJgaXd67ok\npQ2rGOvN0k4/1OemevEZQE0y9U5dEl9aacUgULX+f7tvI1p13yibeFJz0HTF6EcVoQhQBK4xBJZ+\nwfAaA4CqSxGgCFAEKALXGgIrYNZ1rUFG9aUIUAQoAhSB5UWAuq7lxZ9KpwhQBCgCFIFFI0Bd16Ih\noxUoAhQBigBFYHkRoK5refGn0ikCFAGKAEVg0QhQ17VoyGgFigBFgCJAEVheBKjrWl78qXSKAEWA\nIkARWDQC1HUtGjJagSJAEaAIUASWFwHqupYNf3j1UTIOicQJXjYtrmPB3NTI0MDQ2DLiK6YjExMh\n9cXBYjo0prmdH/r4NFSF2AtXInFTY5OXA0tyemxwYHD6clgskVkFCF8y10tEGyKZT4Tg3Wg0XX0E\nlt918ZHBRlOfNojG1UdhWSSyR8119ZDqDI0d0xr7o8O2siUDhB+0lFkGQsti4CKFQkiBRdbA5HMa\nONVr3r53/+jUBwVvXFy8DEmxOQXNwzB7ZnDXrmGOn7KUlQ1HxeyZ4d1wO08FXCSJ44YYqPrORWgv\nrZg7vX33ztA8IdvmZcuHBuqY3Y4Tv46dn6fB5odr/tJ5xesLZYT1mYu/u0S0udPHd+169JTcoktm\n1OL1X0wNpTcups5KpF1+1yWc+4j1Q1yoz1yCd1+R952H7Wx3y+C0an/NXfscT9wN4R4LUnSwqcw0\nMM9oUUBPbssbHnE+wtSWKlpReeKgydDLLuT5NWQpM03nUZjLQP7kC377eObYc4+r4W8uyWBVsbkE\nzcvVABFB4W3FtZZO11015RBqE27nraCKQ6sgsuqa1fMSX2qhwQC8byzuYQvj9+FbbyDGFTzRt2f9\nPLbMD9f8pQvTQ6KSEF5MjZK0GG0c/XRxqXJ1HcTMUaotnVGL02KR1GpvXGS9lUa+lK4LFsCSarwo\nEW6kMEZiPBIKhaLSsMRz6aRMxUF2VKJnVol8MhSKpNUhCRYC4D6ueULlk5gNZCk0fDI6PR1KakhW\nGrjz66PENNz0V07j2XPpkd6uvsFem22Ar7wJZQSRj/S2dXR1tZlMTX0Qiysy3HLgOPIffLBLemzn\nh7s6hvBkTRzp6RgKcfGJPktjo6WpazLOI6jb0dHTZesY+t3HHH8DicQ4PdRjajR1DEwCfsCtq28C\n1IsM9/SMRCBjYqADSttIKeRHiTY9NpPF1hfBLZcc6rIBga1nGFaJIsO9PQPDvU2WvumktmJoGEQ0\ndgxOgQgNjdxCXGSszaIw5CM9bT2wlCZGhjt6Rk4Pdx/wI3fnYz3Dp0ByT19Pk8nUMVik6vCrPU1P\ne5GfebBtQg7gJUoGxicGAL4em8XU1DWVBK7ffYpF3V9r6hkOFciVkRl8VYV3cGJysKvJZGkbiWBV\ntUhG8oqVRrJALlQvkUTxwqpVlbKrWFWJuMGOtsGpNESbG+xoajQ1gY5SLY24tyAIs/+pFluTxdYz\nIhVr4SX0/Ehvh4SVrRfTFDarpgsV2Ai8h7px1xqcTmNWWk3ynUeZrCulQ9Np3A/NRxH7/N/2jpFf\ndF6Htr6RSdwBLD1D08BR6XiarsWFetugkzaNRD4p2WqgCBcZsZlMti5Ig1JwWjE50WHrxTHX+VBP\nW2+E13VFggN88PArwJDii64RGGwUnQm2Gh2kChIyHViUCj6UiMnJjibo5pa+sSghhIpduEsPhfQM\nUXp6yGaxPPjoQZSPb166K0oCsWL6xlIZAqolSpVqxUULb2U+OtYG7WHrAzzyv8c3P1Z6o8a6vLhr\n5+r/b++No9s4rrvRUQtYpGJQEhnLqllXlC07kh0vG6k+UvNsuaD8JVLdL+DXWLZrgX7RSwvq+PVY\n5EtqBTzPSg51ahXsSSPw5CWg+hyolaDYAe0jMPEH1THJlHRk6CngVy2PTTQGLDIxUBmMQBtwhVUW\nPXi/md0FdgGQlCVKIumZP7C7M3fu3PubO3N3Z4a8cxhHJTXUSYhNiWobDyJGlDOeT3ntwEKgcY2s\nrnE5H/UrsaMEKwt1ZPeO6eJ1gciJyEdyvN+mAejwIs5WXh4PMA42/CLeE3KiARqIC/GXwdxPI4Mt\nvITgW4Ib2iUpat6Qh+pC2nzhqbALIbFSacQnQ/Rjj49GxOqMp6MehLwSHIEwUESiEbaIKwwkcEWU\nrmjQGxgaonGnHAGZBspCsnpDv/QAMldIAdnto0+dQ8k0awKoiS4BoX6zYx4Q+/uDvuCYgmM6TCOH\nOb00FpbQOQQhAx7f0JAforhCEI3FFbO7/+0XxYos0+oL+kBDg41pNGrnyFGwsrt9NGJaW1DOhqBM\nKJvPilTZd6P9KLV1+sR4guFg93qBisKHEqiifuunoYAbFd3+/rGkElCLhh8rKOj0+WEWAkRkDB1u\n/1jiLWO7GjL/epJC1OZhAiEcqs8NHG0+MNUjmdQLpmuoiKQIBEih3RIrpCG+iDutKJvOU0ys3jAN\nt2YX0zIdInZ3gAaNa1M6VRFbwcFL5bP6/BRqDc8ivKyhtIKVjkaHFSI4K2ZQrqOS73B7nFDJMZY1\nSpLRINKC59Fhbe30eSiQ4mSUymt39YfGWAcUZEDT1Fb8XmiFuHpqv+hNKwRjs3n6g/5QfLJiryH8\nGzMDrwtNFILzpRE+jXijeZmC6RgvMUUF4bzSHIZDFkSdoaQe238fLVqp2kElCMhUC0SSk+NDXl9/\nP41vZ8U0E3KjZavH7+8XE3qG49kxKqfLy4LV0Uh7anfoLKTMJApAqR1qQDVbWqrKSS+lRSWDd9pe\nlseAosPrd1np6k5xPCbZ0DNol9Q1t2BuyVxKyiwPMyMMCPHXrRhwdIqEA0OiE7QrTCMcssiKmCW0\nWZINftdQKi9Tg3CFE5iUBRemy3wqhG6mQf9ED8axSwuPCFcm4tkXpXN4GOOhrR83Cy6xQJcwdqS2\ncIoZqDMILbT5jo7YIHQe9ynDeAwgCDRCo5LGAw7Mg8l4EBPJGPNmcjoehO8S3Ck2MjGBK3aPMUlR\nclJIQ50Cm+gBLA1iqQR7ZGZto+RaYjJQhxFHK8StlKTGw5jrrB7EisRcQBvVV4QnhtfMynHaVH+8\nQKOwZAxtIu06NG0Xp6CdlbkuKkk6n8Vc5qZvPRQH5tGz8FF2f1RBoyAq6qNimOnLOFN6NXwl83Bj\neCGgHp0ydInZ8napJUFVGkCS9EOxqJfOU7IimKppEUmjYNMgSYHS2tUQVIRTXRdTFq6LmTr620XH\nSAoKtgXG5WQ/9eLq9GfAwUrfbGSQYeCUwFvQnWElU2VhQ6y5IlbT6cjyAxBBxiwGN2OUJEldFzMe\nRRcaP9aFrmIvSe5witoMFUxJCv54pP2FtyDYFO1ZuC6lX+gbjGpa/dRl05eDglkygYvoMXxY57J3\nqYJL8FLLGo9iTmkLKq3qTFGxH7U5RQxX+F09tgM0gqvBvJXeD2Biom8VRWkZ82w0rIy4NJg4+5Vp\n3QDRwJvUF2o2Q50cS5rKtBeKSillOsNWOuusEdVfaWavdWUqqaQ0c6tX0MvJKLSA1tkxvwMjKqGN\nWaY7VVmnnSbjgrr+Dps65+jHdKfdSfYfC+ekt10B8vT2DeNnThFycAeNYLKqEFJdltMw4b97bL3W\n6iXM3Y8/uJKYGjbSmTyXEMlXd/wh7lY2IsD8OVkmdz2MF4h9tUuaDhw5ifWwXPLcOUJ2rTOD76Z9\nIjn3K3XBReO4MK6XMsTxdEjEZ8l3Nq6kIltXY+lcn6yrqgm5dT0mWSSZADf8qmnNHz1CBvt/+rN/\nIbYdDSZyuqfFXFO/7wXEvV+KIGxpYn24kTFVyKvqhBWfwu2y5XUC0RbnNVaWjY967IEttUuOjOiP\ntNGdjNq19+LXlJvoalpS27DpoEhq0F3kEhHurzcRfUUzVrgO26rN9T6R/Pqd8wUatRHILey4i5As\nWUpI/GJBDa0YXCVZPTlQR7WsathCxHc/VMsLlxytqREWcpUbulmhMZapmKDDs7FdHTLWFRYiXaSE\nJKdwIIDOiCTlUxCMElVAUt+uymfGi/WPP3sLyZwbEMkhW4N51TaRbNG6pKQ5SK9KVgav2gLDKsd0\nqNhmZR1ha79vAW/zWjJ4+uzZEkl0EGEJ73wISpshSf0DApEUhCUNZrVN+oh+XQo1WAcVRNFbyOdb\ng9Zju6obO4xn8vTowa6a7zIB8AID3Fi2PGU7PDj4ejDQ9kWBlJqinpLeQwxycUKv0fI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hnms1FsoiHhx0b10iMjxoMwHlthK1MPICi1E0DWAOxKU0cRC7963H5BUfNimwR7i8QZDBTO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\nhsi4vyA2dAAAAABJRU5ErkJggg==\n",
       "prompt_number": 11,
       "text": [
        "<IPython.core.display.Image at 0x4b3eb50>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users[:12]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>gender</th>\n",
        "      <th>age</th>\n",
        "      <th>occupation</th>\n",
        "      <th>zip</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>0 </strong></td>\n",
        "      <td>  1</td>\n",
        "      <td> F</td>\n",
        "      <td>  1</td>\n",
        "      <td> 10</td>\n",
        "      <td> 48067</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1 </strong></td>\n",
        "      <td>  2</td>\n",
        "      <td> M</td>\n",
        "      <td> 56</td>\n",
        "      <td> 16</td>\n",
        "      <td> 70072</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>2 </strong></td>\n",
        "      <td>  3</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 15</td>\n",
        "      <td> 55117</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>3 </strong></td>\n",
        "      <td>  4</td>\n",
        "      <td> M</td>\n",
        "      <td> 45</td>\n",
        "      <td>  7</td>\n",
        "      <td> 02460</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>4 </strong></td>\n",
        "      <td>  5</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 20</td>\n",
        "      <td> 55455</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>5 </strong></td>\n",
        "      <td>  6</td>\n",
        "      <td> F</td>\n",
        "      <td> 50</td>\n",
        "      <td>  9</td>\n",
        "      <td> 55117</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>6 </strong></td>\n",
        "      <td>  7</td>\n",
        "      <td> M</td>\n",
        "      <td> 35</td>\n",
        "      <td>  1</td>\n",
        "      <td> 06810</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>7 </strong></td>\n",
        "      <td>  8</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 12</td>\n",
        "      <td> 11413</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>8 </strong></td>\n",
        "      <td>  9</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 17</td>\n",
        "      <td> 61614</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>9 </strong></td>\n",
        "      <td> 10</td>\n",
        "      <td> F</td>\n",
        "      <td> 35</td>\n",
        "      <td>  1</td>\n",
        "      <td> 95370</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>10</strong></td>\n",
        "      <td> 11</td>\n",
        "      <td> F</td>\n",
        "      <td> 25</td>\n",
        "      <td>  1</td>\n",
        "      <td> 04093</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>11</strong></td>\n",
        "      <td> 12</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 12</td>\n",
        "      <td> 32793</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "    user_id gender  age  occupation    zip\n",
        "0         1      F    1          10  48067\n",
        "1         2      M   56          16  70072\n",
        "2         3      M   25          15  55117\n",
        "3         4      M   45           7  02460\n",
        "4         5      M   25          20  55455\n",
        "5         6      F   50           9  55117\n",
        "6         7      M   35           1  06810\n",
        "7         8      M   25          12  11413\n",
        "8         9      M   25          17  61614\n",
        "9        10      F   35           1  95370\n",
        "10       11      F   25           1  04093\n",
        "11       12      M   25          12  32793"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users['age']#[:10]\n",
      "# the [:10] is a slice - a short primer on slice syntax in python: http://stackoverflow.com/questions/509211/good-primer-for-python-slice-notation"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "0      1\n",
        "1     56\n",
        "2     25\n",
        "3     45\n",
        "4     25\n",
        "5     50\n",
        "6     35\n",
        "7     25\n",
        "8     25\n",
        "9     35\n",
        "10    25\n",
        "11    25\n",
        "12    45\n",
        "13    35\n",
        "14    25\n",
        "...\n",
        "6025    35\n",
        "6026    18\n",
        "6027    18\n",
        "6028    25\n",
        "6029    25\n",
        "6030    18\n",
        "6031    45\n",
        "6032    50\n",
        "6033    25\n",
        "6034    25\n",
        "6035    25\n",
        "6036    45\n",
        "6037    56\n",
        "6038    45\n",
        "6039    25\n",
        "Name: age, Length: 6040"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users.get_value(5,'age')  #5th item, column age"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "50"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users['age']<10\n",
      "#users[users['age'] < 10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "0      True\n",
        "1     False\n",
        "2     False\n",
        "3     False\n",
        "4     False\n",
        "5     False\n",
        "6     False\n",
        "7     False\n",
        "8     False\n",
        "9     False\n",
        "10    False\n",
        "11    False\n",
        "12    False\n",
        "13    False\n",
        "14    False\n",
        "...\n",
        "6025    False\n",
        "6026    False\n",
        "6027    False\n",
        "6028    False\n",
        "6029    False\n",
        "6030    False\n",
        "6031    False\n",
        "6032    False\n",
        "6033    False\n",
        "6034    False\n",
        "6035    False\n",
        "6036    False\n",
        "6037    False\n",
        "6038    False\n",
        "6039    False\n",
        "Name: age, Length: 6040"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users['age'].values\n",
      "#list(users['age'].values) # to convert to a simple list again."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 90,
       "text": [
        "array([ 1, 56, 25, ..., 56, 45, 25], dtype=int64)"
       ]
      }
     ],
     "prompt_number": 90
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Simple Stats"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>age</th>\n",
        "      <th>occupation</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>count</strong></td>\n",
        "      <td> 6040.000000</td>\n",
        "      <td> 6040.000000</td>\n",
        "      <td> 6040.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>mean</strong></td>\n",
        "      <td> 3020.500000</td>\n",
        "      <td>   30.639238</td>\n",
        "      <td>    8.146854</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>std</strong></td>\n",
        "      <td> 1743.742145</td>\n",
        "      <td>   12.895962</td>\n",
        "      <td>    6.329511</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>min</strong></td>\n",
        "      <td>    1.000000</td>\n",
        "      <td>    1.000000</td>\n",
        "      <td>    0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>25%</strong></td>\n",
        "      <td> 1510.750000</td>\n",
        "      <td>   25.000000</td>\n",
        "      <td>    3.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>50%</strong></td>\n",
        "      <td> 3020.500000</td>\n",
        "      <td>   25.000000</td>\n",
        "      <td>    7.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>75%</strong></td>\n",
        "      <td> 4530.250000</td>\n",
        "      <td>   35.000000</td>\n",
        "      <td>   14.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>max</strong></td>\n",
        "      <td> 6040.000000</td>\n",
        "      <td>   56.000000</td>\n",
        "      <td>   20.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "           user_id          age   occupation\n",
        "count  6040.000000  6040.000000  6040.000000\n",
        "mean   3020.500000    30.639238     8.146854\n",
        "std    1743.742145    12.895962     6.329511\n",
        "min       1.000000     1.000000     0.000000\n",
        "25%    1510.750000    25.000000     3.000000\n",
        "50%    3020.500000    25.000000     7.000000\n",
        "75%    4530.250000    35.000000    14.000000\n",
        "max    6040.000000    56.000000    20.000000"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users[users['gender']=='F']['age'].mean() # try changing it to 'M' too?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "30.859566998244588"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users.boxplot(column=\"age\", by=\"gender\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x4b561f0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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p+OCDD3D+/HkcPHgQI0aM0LqkgMJYRiK9evViLEPSSEhIgN1ux9q1azFx4kSt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\nEyB4lkDXAAAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users[users['gender']=='F']['age'].hist()\n",
      "# do this with =='M' instead to see the subtle contrast. \n",
      "# If you want, insert a new cell below this one and do it there."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x4b70b90>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users.groupby('gender').count()\n",
      "# users.groupby('gender')['age'].count()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>gender</th>\n",
        "      <th>age</th>\n",
        "      <th>occupation</th>\n",
        "      <th>zip</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gender</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "        user_id  gender   age  occupation   zip\n",
        "gender                                         \n",
        "F          1709    1709  1709        1709  1709\n",
        "M          4331    4331  4331        4331  4331"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/desc_stats.png')\n",
      "# From Python for Data Analysis (Wes McKinney), page 139:"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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m0RtibeJdEr2SD6VGpadkXsi+lHsh/1xhWnFS6anymMqw6kO1XvUujTv7bmjWa1VoF+rk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       "prompt_number": 22,
       "text": [
        "<IPython.core.display.Image at 0x4b88570>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Merge Data Sets"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/merge.png')\n",
      "# From Python for Data Analysis (Wes McKinney), page 139:"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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m0RtibeJdEr2SD6VGpadkXsi+lHsh/1xhWnFS6anymMqw6kO1XvUujTv7bmjWa1VoF+rk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\nAAAAAElFTkSuQmCC\n",
       "prompt_number": 23,
       "text": [
        "<IPython.core.display.Image at 0x4b88c10>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rnames = ['user_id', 'movie_id', 'rating', 'timestamp']\n",
      "ratings = pd.read_table(os.path.join(base_dir, 'ratings.dat'), sep='::', \n",
      "                         header=None, names=rnames)\n",
      "mnames = ['movie_id', 'title', 'genres']\n",
      "movies = pd.read_table(os.path.join(base_dir, 'movies.dat'), sep='::', \n",
      "                       header=None, names=mnames)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 1000209 entries, 0 to 1000208\n",
        "Data columns:\n",
        "user_id      1000209  non-null values\n",
        "movie_id     1000209  non-null values\n",
        "rating       1000209  non-null values\n",
        "timestamp    1000209  non-null values\n",
        "dtypes: int64(4)"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings.head() # or .tail()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>movie_id</th>\n",
        "      <th>rating</th>\n",
        "      <th>timestamp</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>0</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td> 1193</td>\n",
        "      <td> 5</td>\n",
        "      <td> 978300760</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td>  661</td>\n",
        "      <td> 3</td>\n",
        "      <td> 978302109</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>2</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td>  914</td>\n",
        "      <td> 3</td>\n",
        "      <td> 978301968</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>3</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td> 3408</td>\n",
        "      <td> 4</td>\n",
        "      <td> 978300275</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>4</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td> 2355</td>\n",
        "      <td> 5</td>\n",
        "      <td> 978824291</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "   user_id  movie_id  rating  timestamp\n",
        "0        1      1193       5  978300760\n",
        "1        1       661       3  978302109\n",
        "2        1       914       3  978301968\n",
        "3        1      3408       4  978300275\n",
        "4        1      2355       5  978824291"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "movies[:5]\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>movie_id</th>\n",
        "      <th>title</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>0</strong></td>\n",
        "      <td> 1</td>\n",
        "      <td>                   Toy Story (1995)</td>\n",
        "      <td>  Animation|Children's|Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1</strong></td>\n",
        "      <td> 2</td>\n",
        "      <td>                     Jumanji (1995)</td>\n",
        "      <td> Adventure|Children's|Fantasy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>2</strong></td>\n",
        "      <td> 3</td>\n",
        "      <td>            Grumpier Old Men (1995)</td>\n",
        "      <td>               Comedy|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>3</strong></td>\n",
        "      <td> 4</td>\n",
        "      <td>           Waiting to Exhale (1995)</td>\n",
        "      <td>                 Comedy|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>4</strong></td>\n",
        "      <td> 5</td>\n",
        "      <td> Father of the Bride Part II (1995)</td>\n",
        "      <td>                       Comedy</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "   movie_id                               title                        genres\n",
        "0         1                    Toy Story (1995)   Animation|Children's|Comedy\n",
        "1         2                      Jumanji (1995)  Adventure|Children's|Fantasy\n",
        "2         3             Grumpier Old Men (1995)                Comedy|Romance\n",
        "3         4            Waiting to Exhale (1995)                  Comedy|Drama\n",
        "4         5  Father of the Bride Part II (1995)                        Comedy"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 1000209 entries, 0 to 1000208\n",
        "Data columns:\n",
        "user_id      1000209  non-null values\n",
        "movie_id     1000209  non-null values\n",
        "rating       1000209  non-null values\n",
        "timestamp    1000209  non-null values\n",
        "dtypes: int64(4)"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = pd.merge(pd.merge(ratings, users), movies)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 1000209 entries, 0 to 1000208\n",
        "Data columns:\n",
        "user_id       1000209  non-null values\n",
        "movie_id      1000209  non-null values\n",
        "rating        1000209  non-null values\n",
        "timestamp     1000209  non-null values\n",
        "gender        1000209  non-null values\n",
        "age           1000209  non-null values\n",
        "occupation    1000209  non-null values\n",
        "zip           1000209  non-null values\n",
        "title         1000209  non-null values\n",
        "genres        1000209  non-null values\n",
        "dtypes: int64(6), object(4)"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.ix[0]\n",
      "# change the 0 to another number to see another record... is this someone rating for their kid?!"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "user_id                                 1\n",
        "movie_id                                1\n",
        "rating                                  5\n",
        "timestamp                       978824268\n",
        "gender                                  F\n",
        "age                                     1\n",
        "occupation                             10\n",
        "zip                                 48067\n",
        "title                    Toy Story (1995)\n",
        "genres        Animation|Children's|Comedy\n",
        "Name: 0"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['rating'].hist(bins=5) # the ratings are whole numbers, it seems"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xe433bb0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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0muNZWVkIhUIAgFAohBUrVowHSU5GWloahoaG0N/fP+mYicey0tjYCJfLBQBw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\nKcWUAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Grouping Data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings = data.pivot_table('rating', rows='title',\n",
      "                                cols='gender', aggfunc='mean')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings[:5]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>$1,000,000 Duck (1971)</strong></td>\n",
        "      <td> 3.375000</td>\n",
        "      <td> 2.761905</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>'Night Mother (1986)</strong></td>\n",
        "      <td> 3.388889</td>\n",
        "      <td> 3.352941</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>'Til There Was You (1997)</strong></td>\n",
        "      <td> 2.675676</td>\n",
        "      <td> 2.733333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>'burbs, The (1989)</strong></td>\n",
        "      <td> 2.793478</td>\n",
        "      <td> 2.962085</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>...And Justice for All (1979)</strong></td>\n",
        "      <td> 3.828571</td>\n",
        "      <td> 3.689024</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "gender                                F         M\n",
        "title                                            \n",
        "$1,000,000 Duck (1971)         3.375000  2.761905\n",
        "'Night Mother (1986)           3.388889  3.352941\n",
        "'Til There Was You (1997)      2.675676  2.733333\n",
        "'burbs, The (1989)             2.793478  2.962085\n",
        "...And Justice for All (1979)  3.828571  3.689024"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "users.groupby('gender').count()\n",
      "# users.groupby('gender')['age'].count()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>gender</th>\n",
        "      <th>age</th>\n",
        "      <th>occupation</th>\n",
        "      <th>zip</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gender</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "      <td> 1709</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "      <td> 4331</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "        user_id  gender   age  occupation   zip\n",
        "gender                                         \n",
        "F          1709    1709  1709        1709  1709\n",
        "M          4331    4331  4331        4331  4331"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/group_by.png')\n",
      "# From Python for Data Analysis (Wes McKinney):"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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bMhgqr0HTP58aPigKUCFDCoEgP7Tp+H5KYXvPcuh/reC76WXP7/nTEwhliLcf9VrX+O1X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\n0B0ZJ9qcTPrQE5lVXHgJ2bVEjFD+uUbg2c6qaYenFakCSV6pTMgQ+pP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/I0xCGKoCHkcF\nUIFtpMB2jSyEg1/MZWjS4reRetgVVAAV0FYgdGTxeB66XC7t2jt3L/y6Vpjkcef6iJ6hAlErkJOT\nk5LyZJDqWz+Zi5UgJTEzMytuJcq3Xr+b44R/DCeKz+gnKhC2AmlpacEjS+h7lrDbwoKoACqACggK\nxPv3LCgsKoAKoAKEYGTBqwAVQAXirwBGlvhrihZRAVQAIwteA6gAKhB/BTCyxF9TtIgKoAIYWfAa\nQAVQgfgrgJEl/pqiRVQAFcDIgtcAKoAKxF8BjCzx1xQtogKoAEYWvAZQAVQg/gpgZIm/pmgRFUAF\nMLLgNYAKoALxV+D/E3RuqOVH81oAAAAASUVORK5CYII=\n",
       "prompt_number": 36,
       "text": [
        "<IPython.core.display.Image at 0x4c13570>"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings_by_genre = data.groupby('genres')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Try some graphs of different aspects of this, if you want..."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings_by_genre.mean().sort_index(by='rating',ascending=True)['rating'].plot(kind=\"barh\")\n",
      "# try changing the ascending argument to False; and then try just first 10...\n",
      "# ratings_by_genre.mean().sort_index(by='rating',ascending=True)['age'].plot(kind=\"barh\") # why does this look this way?\n",
      "#ratings_by_genre.mean().sort_index(by='rating',ascending=True)[:10]['rating'].plot(kind=\"barh\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x4c17c70>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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JUZQAF7KKiorKfzO/VV20n4sq1H4HLr/8cjidTrz55pt834EDBxASEsLjuGpr\na7F582bk5eWBiHD+/HlotVpMnjyZn5OZmQmv14vt27fj6quvhtPpxIIFC/iP8FtvvYUBAwbgwoUL\nyM3NxYMPPojp06ejvr4e06dPx2WXXYZRo0bB5XKhuLgYH3zwAQ4cOICdO3cCAJxOJ0pKSngNMEmS\n8Le//Y2LLxbT5XQ68cYbbwDwZW9+/vnnICLs37+fN013uVxoaGjgAfejRo0C4Csge+zYMR6nxRqu\n0w/B9nq9HqIo8sB/FhN222238fvQ2NjIkwoaGxtRVlbG2y0xWCsldo0TJ04EvCfDhg3jwupPf/oT\nYmJiAABDhw7lwqe5uRlutztAzLD1nD9/PmA+/+BR9n7s3bsXXq+XbxuNRlRUVARkiwK++LnWSQ7+\naLVaHD58GLW1tfB6vbw8B+ATXZGRkQB8IpfVnmPbjN69ewfM2b59+4D/ZERERICIcN1110FFRUXl\nvx2LJfRnZXX+s2016/O/gJUrV2LDhg3o2LEj0tPT8fDDD+OGG25AZmYmsrKycMUVV2DOnDk8gaC5\nuRm5ublt5iEiWK1WLFiwABUVFdi9ezccDge6deuGNWvW4MCBA1i7di169OiB559/HsXFxUhISOA1\n3Dp37ozGxkbIsowrr7wSM2fO5CLIbrfzyvUTJkyAw+HA+++/j7Nnz2LixIl8DUFBQejfvz8EQeCl\nRgDgqquuQvv27QOKvDKxsHTpUr7ParWipqaGvx5mwSIiOBwOHvhvMBh4nTP//qP+Fjav14ubbroJ\n1157bUCx1gceeIALLo/Hw61ULLvV3wL38ccfc4vn2bNn4fV6+Wti12ePo6OjAfjEk3/Ji//7v//j\n8/kLLa1Wy9daU1PDS4H4B/GzWm/sOs8//zwP9Ad+FIfsr78AEwSBdxfw73TQmjNnzgScd/78eWze\nvJlvs+K5BQUFFz1fRUVF5b8D6Yc6ofU/K6vzn23/mlmfaozaH4QFCxbQvffe22Z/cXEx9evXj667\n7jpKSUmh3NxckiSJjh49SsXFxTRo0CB+bFBQEG3fvp1ef/11GjlyJF1zzTWkKAppNBoyGo0UExND\nwcHBFB8fTwkJCRQbG0t9+vQhnU5HFRUVZDab6brrriONRkNhYWGUnp7O/fostsk/3ozF07HnWRKA\nXq8P6IUZExND1113HZ+LxWexGC8WJ8fiwPzjrtgcOTk5AftaH9O+ffuAuC8W5M+OS0xM5Ndja5Nl\nmT/2jzf5zbXGAAAgAElEQVTzj1Xzj/tqHVfWp0+fNvendfB/hw4dAuL8Wh/vP1rPz45JTk4OOMZ/\nrRkZGfwxS5bwf40/Ndi1evToEfB5+0fnqEMd6lDHH2n8OzFo/2xbjVH7H6Rbt27Ys2dPm/1EhEOH\nDuHyyy/H8ePHsXv3buh0Opw9exaAL65KFEXk5OTA4/Fg4sSJmDNnDvLz89HQ0IBOnTpBlmU8+eST\nGDVqFCZNmoTg4GBUVVUhPj4eOp0O7dq1Q0FBAWw2G8xmM2JiYpCQkICysrKAdbA6bCwWq3fv3sjO\nzoYkSbBYLCAipKWlQa/X884B9INb9+DBgwEWHuDHUhSsjZTH44EoinjggQcCjtNoNAFuTsDntvXf\nFxsbyy1SrO1T//79ucVpyJAhsFgsAH4sNpuYmMjdof4FbukHy5coijh37hzfL4oiEhMT+TazygmC\nwHufkp/bFAAqKyt5hwEGi3vzn1cQBISFhQVY89iaWlpa+DnsXjNYrTnAZ3lk96S1NS45ORlhYWFt\nrt26VIuKiorKfwO/tquz9bbq+vwPcbFm6hdj/vz5AS2KRowY8YubVy9evJj3mywpKUFwcDC6d++O\nLl26YMCAAVi7di2An45re++99yCKYkDsGgtkv/vuu/HNN98AAEpLS9HS0oJXX30VwcHBeP7553Hk\nyBEAQFJSEr7++mt88803+PLLLzF+/HgAwK233ooDBw6gvLwctbW1EEUR48ePx6pVq7B//34YDAZo\nNBoYjUZERERAkiTU19fzBACtVsvrnTFBVFtby5udA0DHjh0xceJEHD58OMB9yeLSAJ/g0ev16NCh\nA0RRxJw5cwD4RIkgCFAU5aLV85mokSQJaWlpsNvtAYH2lZWVXLytXLmSCyYmZiorK7lr1O12o3Pn\nzgCA9PR0AL4eov7CqXVPUP+4tdaFbf3xF4HsWv7rZOJYr9cHuIWZoAwNDQ0owHuxnp9sXiY82Wtg\nnDhxAlarlcfPMQFXU1Pzs/rRqqioqFzqWCyhv7qrs/W2WvD2P0TrZuo/xYsvvhjwY7h27do2WX//\nKq2tSP3798fevXtx5MgRLFiwAFOnTsWmTZsAXDyuraWlpU2vSCaUjh07hoyMDN4MXRAEhIaG4r77\n7sPZs2eRlZWFhx56COXl5Vi9ejXKyspw7tw5PPHEE1AUBXfeeSesViuPdVIUBc8++ywGDx4MSZLg\ncDigKAocDgfGjRuHkJAQ9OvXDxqNry/ali1buAgpKytDWFgYGhoaeDyYwWBAfX09hg4dyjsBsEbg\ner2eC7G4uDgQEaqqquDxeAKyM8kvpo1x7bXXwmQycfGiKApv3u6f0VlYWMi7Dni9Xm4NY6LS5XJx\n4aIoCk6cOBFgyTp16hS3TPkLJ8AnElmMHBEFWAzZ9VnQP2uGDvhEmyiK/D0DfIH958+fD8gUliQp\nIKaNwQr2MuiH5I3WMMHm/5yiKPx9UBQFWq0WJ06cCLiuioqKyh+dCxfqf+8l/CxUofYDF2umrigK\npk+fjoyMDGRlZeGll17CwoULUV1djYKCAmRmZkIURbRr144HcL/wwgvIyMhARkYGXnzxRQDAzJkz\n0aVLF0yePBnp6emIjIwMcJn9FFlZWZg5cyZeeuklAMBDDz2Ec+fOwel0YujQoZg5cyZ27tyJmpoa\n6HQ6bglcsGABHnnkERgMBhw/fhxutxs6nQ5EhLvuugtmsxkajQaDBw/G008/DZfLhezsbNTW1mLJ\nkiWIi4tDamoqQkND4fV6Icsy/0E3GAzo2LEjvz9ffvklAKC8vBxBQUGw2WwIDw9HSEgICgsL4XK5\nIEkSHn74Yej1emi1Wi6sjEYjGhsb8cwzz6ClpYVb0WJiYhAcHAxFUXiDc6fTyYUUW4tWq+UN15mo\nA3ytmkRR5B0F2LoZ/i2n2OPm5mbeUJ4Jsbi4OJw+fTrAagb4rIIA0KFDBz5na2tZeno6r/wP+Kyf\n/j07AXArrKIoiIiI4GvTaDQB5TOsVisXlP7XY4J35syZ/Prs9VxsXf4dBphrnMHO8d/vcrmwaNEi\ntG/fHioqKir/DWi1P/4WqK7PPxgXa6b+xhtv4NSpU9i/fz/279+PG2+8EdOmTUNcXBxKSkqQlpaG\nwsJC7jLbs2cPFi9ejK+//ho7d+7Em2++iX379mHRokUoLy/H1KlTcfDgQVx++eVc4PwzcnJyuIsS\n8JWimDRpEubOnYsuXbrg9ddfBxEhPT09wP158uRJ9O7dG9988w2cTie3VPXp04dnJI4cORIzZ85E\ndHQ0unTpgrfffhuAz9VYVVUFq9XKG3iPHTuWi6wDBw4A+NHdJ0kSysrK0LVrVxw5cgRarRZNTU1Y\nvXo1r5f21Vdf4fz588jJyeG1ubKysgD46oRJksQtTOfOnePCNzc3l8dc2Ww23r5JkiQu5rp06QJZ\nlrm4efbZZ9HU1ITt27fz+8EyL1njcSLCCy+8wMUhc4ESEUwmE4KDg/H9999z4QSAW5uYhYndBwA8\n+5NRVlYWUHONfmjp5I9/2RN/65jL5QqwirGyJv4oisLF28svv8wfP/LIIwHX8c9mZfcUCGz6ztYn\nCALPhmVxcaw8i4qKisofHwnr16/jW6rr8w/GxZqpb9y4EXfccQf/4fNvVO5vgbPZbCAibN68GWaz\nGXl5eejbty/at2+PJ598EmfPnoUoirj33nsB+Eo3sED8L774Aq+88goyMjKwYsUKAD6RlZaWhsmT\nJ2P06NE4deoU77fZs2dP/uN/9OhR3HjjjWhpacH+/fuxfft2HDt2DKdPn0ZYWBh27NiByy+/HMCP\nlpVt27Zhx44dEAQBNTU1uPvuu1FbW4vPP/8cb7/9Nm666SYoioL09HTel7KyshL19fVwuVzYtGkT\nHn30Ue7eHDFiBDweDyorK/F///d/vHzF6NGjER4eDrvdjrCwMOh0OrhcLuzcuRPff/89dDodryv2\n5ZdfIjg4mAuJ/v37IyUlBVqtFi0tLdDr9QgLC0NTUxOio6MRFRUFWZZx7tw5KIrC49uYO5pZrERR\n5NY2Jjzi4uK4ILTZbFyE+MccOp1ONDU1cSGVkZHB33P6oX4c8KPYYRY5/1pt7Bgm0Pr168f3+VsA\nmWuSiT/mzvWPbyMiGAwGiKIInU6HuLg4HmMmimJAUdrPPvssICHAX+D59zdlCRr+GAwGTJkyha9D\nEAS89957WL58eZtjVVRUVP5oXBJ9O38BqlDDTzdT96+K3xpW2T8hIQGiKGL//v3YsWMHrFYrt8Cl\np6dj4MCBiI6ORkpKCjZu3AgAvDjrnj17sHXrVtx+++3YuXMn1qxZw91hx48fx9SpU/Hwww8jNDSU\nizhm1SEiDBs2DEFBQXjllVcwaNAgeDweDBkyBCtWrEB1dTUSExPbWL8yMzNx8OBBJCcn4+abb+a1\nwHJzcyGKIsaMGYPIyEgcO3YMI0aMgNfrhcPhwNGjRyHLMmw2G88GBYCqqipuEXK5XKivr0f//v0x\nduxYxMTEwGAwwOPx8DppEyZMgNPphNfrxfDhwyGKIhISErBr1y7ExsbCYDBwYaDVanH8+HFkZWWh\npaUFl112GXJzc1FaWorY2FiYTCbIsgxJktC+fXsuuv785z9Do9HA6/UiPj4ekZGRXABVVVVx915S\nUhJ/P5nrURAEGAwGeL1eSJKE7Oxs7NmzB4Ig4C9/+QuuueYaLnojIiKg0WhgMpl4PTQWq8gEGBOJ\nBw4c4AKKiKAoCncLR0ZGBtQ7Cw0N5dcwm83485//DMAnnpxOJ6qrq3Ho0CG+XmaZBBBgho+Pjw8Q\nh/4Fbbt168a7M7BrKYqCrVu38mOCg4Nx4sQJjB079qL/BlRUVFT+GPjCd/6Trs7W26rr81dm+fLl\nmDBhAk6ePImKigqcOnUKSUlJyMzMxOuvv84tNA0NDQB8mXXLli3jFjiTyYQVK1agvr4eLS0tcDqd\nsNls+OKLL5Cfn3/RaxIRtm7ditzcXMiyDJPJhPz8fNTV1UEQBC4innzySQwfPjwgmxDwtbrwer1o\nbGzEhAkT0KtXLxiNRkyePBl2ux0NDQ0BCQ8OhwPh4eF47733uGuturoa4eHhcLvdWLduHY4ePYri\n4mI0NDSgrq4OM2bMgCzL0Ol02LRpE9q1a4fg4GB+HxjHjx9HTEwMBEGATqfDjh07MGXKFJSXl8Pp\ndEKWZV6yY9myZWhpaQER4cCBAzCbzaiqqsJTTz0Fl8sFh8OBtWvXoqGhgVuwtm7dil69euH06dM8\nC9ZqtcJms0FRFCiKgvLyci6qr7zySgwZMgRarRZnzpxBY2MjXyvLUgXAs08FQeBCyWg0cnGjKAqv\n4E9EePHFF7Fq1SooisJfk8fjQXNzMxdqHTp04G5mZl1k7bWYIGIWWhYLx67NrHFMNAI+K9e6desC\n3I8ajYbHmymKgvvuu48/l5CQwN2mVVVV/LPr9XqxatUqfh2Xy8U7GrBjFEUJKHrb1NSETp06BcTa\nqaioqPzRsFh8YTH/SVdn623V9fkrs3TpUt7SiDF69GjU1NQgISEBmZmZyM7O5tmg48ePR0lJCQoL\nC5GUlASr1YpVq1YhNDQUgwcPRl5eHnr37o3bb7+dWztaZ3cyC1drTpw4gREjRqCyshJTp07FwoUL\n0blz54Bg8ubmZkyfPh3Nzc2or6+HxWLBc889B7vdjo0bN6KyshKyLOPw4cP8HJ1Oh0WLFsHtdiMx\nMRHPP/88iAjnzp1DUlIStFotNBoNvv32W/Tr1w/Dhw+H1WrFCy+8wM/ZtGkTTCYTPB4PYmNj+dyJ\niYnYu3cviAg6nQ7PPvssQkNDYbfbkZyczMVabGwswsPDodFo4PF4eGKFoih4//33eZD++PHjIYoi\ngoOD4Xa7sX//ftTU1OCyyy4D4BMqFy5cgEaj4dYm/4D3d955B6NHj+adEhYvXhxwj+12O7RaLU+K\nICJ06tQJwI9xcIz3338/4NzQ0FAIggC3280FjF6v5+cfPnwYgiBw16Lb7YbD4YAsy3j33XcD5vJ4\nPFAUBXfddRdCQkK40PQXwrW1tTh37lzA++/xeHhcpCiKAVm/NpuNJzn4u0CZuxXwxQQePXqUP8fi\n2DweT4Ag1Ov1CA0NvWivURUVFZVLF58Frbi4GMXFxX+4LM/WaP75If/9sPIX/kybNo0/fv755wOe\nCwkJwR133IFXX32V7xs4cCAyMzNx4MAB7Nu3D5Ik8R/c0NBQfPbZZ/zY4OBg3H///aisrMScOXOQ\nnp4Om82G0tJS7NixA8HBwRg5ciS3brBkgkWLFmHx4sV49NFH0a9fP9jtdjz++ONIS0vDZ599hu3b\nt2Pnzp3o3bs3QkJCsHTpUtx4443Q6XT8R1qn0+GZZ57h9dc+//xz5Ofno2/fvjh48CB3yQK+YH8m\nalrX5oqNjcXRo0dx4cIFhIWFYevWrbBYLPyHvr6+HikpKTh06BAGDBgAWZbx9ddfw+v1cqFms9lQ\nXl4OAGjXrh00Gg0qKirQv39/lJeX4+zZs5AkCWFhYRg9ejSefvppHgfmdrshyzKvE/f2229jyJAh\n8Hq92LRpEz7//HNeimP27Nl83UlJSTh37hysViu3UkqShB07dgDwZUb6uyGZtYm5d1kcHSuayxIT\nTp8+DcAndnQ6HdxuN4/zSk5ORnl5OW+71bo0xpEjRwL6dTqdToSEhKC+vh5EBI1G0+b+m81mHmPH\n+oTSD/1QWbybf0KCvwCrq6sLcOkzESgIAlJTU3HkyBFoNBrYbLaATFEVFRWVPxLMDcksWr/lNnN9\nAmjjEfu5qBa1X8DPtcBNnjwZQ4cOxRVXXBFwTk5ODvLz8/Hmm2/+SxY4wJdNKEkSJk6ciPLycowY\nMQKZmZnIz8/nlee//vprCIKAl19+GZmZmXC5XAFZhQUFBdi8eTNkWcb48eORn58PvV4PnU6H7t27\nw2q18qbmQ4YMQV5eHoYPH46RI0fy5vCbNm0CESEpKQmCIGDMmDHQaDRobm7Go48+CqPRCI1Gg6++\n+go7duzAN998A5vNhlmzZvGCuvv37+flMFasWIG5c+eCiGA0GuFyudCuXTsAQF5eHl588UUQEcaM\nGYMBAwYA8FmrqqurAfiatDOXon/vT5fLxUuh6PV6TJw4kbs8mdWL3VsWO+gvitgxXq+Xx3QxF29o\naCgXQ/7B+V6vF16vl5cXKS8vhyRJAcIJ8PVIFQQBGzZsCLCwduvWLSDTs6mpiccEMsH96aef8nn8\nC+/a7fY212EwyxlLcBg4cCAMBkOAS9ZfcAI+V6pa8FZFReWPhMHg+778LV2drbfVXp//RSxevJge\nf/zxf/n4G2+8kXr37k1ERL169aI33niDiHx9xcxmM82YMYMKCwupT58+tG3bNiIikiSJ9uzZQ8XF\nxWQwGKiuro52795NJpOJtm/fThcuXKD4+Hjq2rUrERGFhIRQVFQUERG53W7KzMyk8+fPU0VFBXXt\n2pVuvfVWPq8sy0REVFRURKGhoZScnEyzZs2iRYsW0dSpU2nIkCG836coiqTRaHgvyiVLlpDRaCST\nyUR79uyhkpISkiSJTCYTXXPNNTR+/Hjez1Kv1/M+of49L1kfUFmWyWw28+vExMTwY4YPH04AKDc3\nlwRBIKPRSEajkaKjowPmioqKorCwMAoLC+P7ZFnmPUpvv/12Anw9NkVRpNTUVBIEgV+X9Q0VRZFk\nWSZZlkmr1dKkSZMoLS2N8vLy+GtJT08nSZIoKiqKdDpdwH2Jiooii8XC16DVakmj0QT052Q9Rlv3\nNPXvQxoUFEQpKSkEoM35ZrOZcnJySJblgN6g/iM8PJx0Oh2dOnWKf/4udpw61KEOdVwaQ6R58+bx\nfpvz5s2jefPm8e+v33J73rx5lJKSQikpKTRgwAACfrncUl2fvzPMHfZLWLlyJe655x7Mnj0biqJA\nr9ejc+fOOHLkCLKzs3Hy5MmAoq8M+qFrQGRkJHQ6HSwWC/r27cszCbt16wadToesrCzYbDacOnUK\nV155JVwuFyorK3k8GLMc+ZeK2LBhA3r27MlbVB08eJC7+rKysnDs2DFufZoxYwa31lx99dVIT0/n\nnQ7OnDmDyspKEBGio6MxbNgw7q41mUzcKlZVVQXAZ11j5TJYdqTJZILdbsf69esB+OqeEREcDgdE\nUeQB/sxtWFtbC0EQAroCAL4aafX19bx9F/2Q0Xn06FEQEZqbm3krK3Z9ADzx4u2334ZGo8GoUaPw\n9ddfo6WlBQcPHgTgcxEz61VwcDAuXLiA2traACsWs5D5x6kxqx9zr7Lj/Y+5cOEC3/Z4PAHPabVa\n7Nu3r421LDQ0lLvsmSVPLXiroqLyR8BgMCI7O5tbsPytXb/1NrOoAb447q+++upffBVtUV2ffzDi\n4+N5qYvY2FgsW7YMx48fx6JFi9C7d2/cdttt+OyzzyBJEv9hZpmnrFQI4HPfTZgwAd27dwfgixGb\nNGkSAF824pw5c7B//36sXLkSPXr0QGlpKdauXYuePXviiy++AAAMGDAAer0eBw8eRElJCSwWC5KS\nkqAoCoYNG4Ybb7wRDQ0NeO6556DValFfX49PPvkEGRkZvI6bw+GA2+3GmTNncPLkSR7ntnv3bh57\nZbVaUVlZiVGjRqGlpQVNTU1tiscyWAsml8vF69sxl6J/n0wmUFi2KivLIQhCQC9St9uN77//PsAV\n7R+3xWqysev49+1kRXZFUUSnTp14iRV//Ns2Wa1WvjZRFAPqnrFYPVbUl2Wyut1uREdHB6xDp9Px\nOe12O399bB+AAHe4RqPhblH/BAQm/lVUVFT+CKxbt/r3XsJ/BFWo/cGYPXs2YmJi2jRn37Jly788\nhyAI6N+/Pz799FMufNasWRNwDPsRT01NRW1tLXbu3AkAvCNDTk4Odu/eDSJCv379APisNqw4LBM2\nhYWFuOeee6DVapGbm4sxY8agtraWCxq9Xo/IyEge0N/U1MSD2p9++ml06dIFLS0t2LRpE7p06cID\n+Lt27QoAvBAwY+rUqZBlOUBweDwexMTEcItXdHQ0LxJbVVXFa6zZ7XZ+DOATZCxbkvUKBXwiiVmx\nmGASRRFut5sXRTYYDPw1er1ejBs3jgtF/wbt9EMCgP962Tn+cW+KovDyL4zQ0FAYDAacP3+eJzkw\nQef/Orp168avw+jZs+dF2075t5D6R3UEVVRUVC4tZF7HjNUt+y3rprXe/jXrqKmuzz8g/i5PvV6P\npKQkXH311Rct9/FT5OTk4LrrrkNWVhaioqKQl5cX8DybS6vVYvny5byDAQBMnz4dkyZNQkFBAXbt\n2oVt27bh/PnzvD6XJElQFAWvvvoq9u3bB4PBwLsnyLKMkydPomPHjrypOSswGxMTw68fHR2N+++/\nn1foT0xM5GUugoKCeCZsZmYmTp06hcbGRhAR1q1bB7fb3abWm7+VrK6ujicYsLUCPsvjsWPHuAWt\nsbERycnJOH78OC8DYrFYoNFo+PwhISH8vgDALbfcgtmzZ/PyGYy5c+fyx/RDJqeiKDCbzWhubuZu\nW51Ox1t++Yskk8mE9u3bB7QTs1qtbdo7CYKA2tragP3Mpe2PfwZufn5+wBcJy8qVZRmNjY0BjexV\nVFRULkUsFvPv6upsva26Pv/H8Xd5Hjx4EKtXr+YuT8bChQsxYcIEAL7iuMzFWVFRwV13Xbt2xbFj\nx/DWW29hyZIl+Otf/9rmeLb9xRdf4PDhwzCbzfjkk09w4cIFFBcXQ5IkmM1mREREYOXKlaiursbU\nqVNx2WWXoaamBtHR0YiJieFlLKxWKxITE3mLJgA8Fo21fBJFEceOHcMtt9zCt+fPn4/a2lq43W40\nNzdza9CUKVO42w/wCSc2b1hYGK/31rqGGRNBKSkpfN+2bdvw/fffA/BZ+gwGA06ePMndrwB4UV4G\ns6ixa7722msAfBa2sWPHcsGbkpISIKSZdYu5Mtl6WJ221pYsr9fLm9L77wOAjIwM3ueVfmhx5X8+\nE1n+jeltNhv0ej08Hg+Ki4sB+ERecHAwd5k7HA54PB61hZSKisolj3+ttH87y/ISQxVqvwOffvop\nRFHEd999d9HnBw4cyGuZ/VqsWrWK9xdlFBUVobCwkJcR+SlefPFFHrzucDhQXV2NAQMGwGQyweFw\nwOFwID09HWPGjEFzczMv+eB0OjFixAh88803cLlciI+Ph9frRXV1Nerq6rglLT09HXq9Hj179gTg\nEyBnz56FoigQBAFerxcREREwGo2QJInPDfiC8VndMCDQehQZGcljx/yL//q7IFkdN//97HWyOmVE\nxC1ebrcbqampAfcnJiaGx3KxuDSv14vly5dzwVRaWnpRNyIThgyLxXLR40RRDGgy74/X68WiRYsA\ntK3R5v/YX2CKoogePXoEWMpEUQxwjwI+i6PaQkpFReXSxhdm8nu6Oltvqy2k/uD8M4H0U10L/h1W\nrlwZIFb8m8ovW7YMgO9Hfvr06cjIyEBWVhYWLFiAhQsXorq6GgUFBbjiiitgMBjQ0NCAjRs3Iioq\nCs899xxfc0xMDCwWC4qKinDmzBmEhYVhy5YtuPHGGwEAx44dg6IoMBqN0Ov1mD59OrRaLaKjo9G1\na1ccOHAABoMBo0ePhtfrxfz587mb8JlnnoHNZoPBYEBUVBRvszRz5swAC5JWq8WTTz4JwNe0/ty5\ncyAifPzxx3ydCQkJAMB7boqiCLPZzGPK/Kv4+4s3URR5H1SG2+3Gd999x4Uca0/FrsWE0LBhw3jA\nPvvLHufm5vLtysrKi75/iqLwuDx2HTZ3WVkZ3G53wGdGq9UGxMix9QO++m06nQ6lpaV8H7sXLAbO\nPylCRUVF5dLG9/3P6pgxYfTfUkdNFWq/MRcTSA6HA9dffz26du2Ka6+9lhdsff3113H//ffzcxcv\nXsw7JixZsgS9evVCTk4OpkyZwn+MzWYzHnnkEWRnZ6NPnz44d+4ctm/fjtWrV2PGjBno3r07Tpw4\ngZ49eyI3NxcJCQkICQlBXFwc3njjDWzevBmJiYmIiIjARx99hEmTJvEf/YaGhoDAc6fTicWLF8No\nNGLHjh3YvXs3wsPDUVFRAbvdjuzsbKxZswY7duyAXq/nGZnJycm47bbb8Pbbb8PlcqG0tBSlpaVo\namqCzWbDihUrEBoaykVUjx49eLN6h8OBiooKHrsWERERUOC1oaEBixYtgiiKiI6OhsVigV6v57Fd\nRNRGDHm9XjQ3N/N7yIrV+mM0Grmlj1kXmcgJDw/n5zKLGuATZ6xo74YNG3iiQXh4OC8L4vF4UFZW\n1iaZoHVMmMfj4SU9AJ/AY+LUPzGB4XK5uHj0f50MWZbR3NwcULLDYDDwzFB2LnPNqqioqFy6eP75\nIX9gVKH2G7Nq1SoMHToUCQkJiIyMxN69e/Hqq6/CbDbj8OHDePzxx7Fnzx4IgoDRo0dj5cqV/NyP\nPvoI48aNQ1lZGT766CNs376dW0U++OADAL5yDH369MG+ffvQv39/vPnmm+jbty+uuuoqzJ07F3v3\n7kVycjJqa2sxaNAgAMBVV10Fm82GjRs38tYXK1aswPTp02EymSDLMr788kts2rSJNx9ndcf69OkD\nwNdlICYmBk6nE5mZmZAkiVu9bDYbZFnG3//+d4iiiIMHD+KVV15BTU0NBEFAXFwcZFnm5Ti6d++O\npqYmJCcnQ5Ik7Nu3jzdCF0UROTk5/Lpr1qzhwpF1Q6iqqgIRwWaz4cKFC2hpaQkQLf6WJyZMWDkM\n1kQdQEBpClbmgpXw8MdgMHBh5S+4GhoaeJ23Dh068KQD5tZlwsrtdsNisQD4URixxAp2LY1GE2Dl\nMplMICJIkoSHH36Y7w8KCuKPZVnG8OHD+TysZ6fD4WjTkoq5mDt37sz3iaLIrZMqKioqlyoWi+8/\nwcz16N/SSXV9qvxsioqKMGbMGADAmDFj8OGHH2LLli28rVJGRgYyMzMB+KxFycnJ2LVrF+rq6nDk\nyHWxSBIAACAASURBVBH07dsXGzduxLZt26DRaNC1a1ds2rQJFRUVAHxCYcSIEQCA3NxcrFmzhscm\nERFv+N7Q0IAnnngCSUlJePnll3kzciLCoEGDEBISgqKiIgQHB8NqtWLAgAHIysriweqM7du3w2az\noaioCJ06dYIgCLj55pvh9Xq5q5VZcv72t7/BZDIhNTUVd911Fz8+KCgIYWFh6N+/PzQaDXr16gVZ\nlmGz2eB2u+F0OqEoCh/79u3jvTlZOykWuwYAcXFxAIAuXboEtEdi3HDDDQB84sffGsXcfkxA+Vvq\nWK9Ph8PBBRw71z/2y5+9e/fyAP7a2lpotVqIohjgHmXrYEkNLEaMCT5RFGGxWNCjRw8MGTIEgE9U\nMfepoiiYM2cOnys+Pp6LO3/RKQgCz1TVarW8pIpOpwvoE8qEJTuntVVORUVF5dJC4okEv6ers/W2\n6vr8g1JfX4/i4mJMmjQJSUlJmDNnDo+d+ql6Vddffz0++ugjfPLJJ7j22mv5/qioKIwcORJjx47F\nkSNHMHPmTACBsUXMesWsJ4IgYO3atVi/fj1iY2Px2WefoaKiAjt37oQsy8jMzERJSQkMBgOam5ux\nfft2JCQkQKPRYPXq1XjkkUeQnp6Oc+fOYeLEiRAEAUeOHEGnTp3w1ltv8Vpu06dPBxEhJCQEPXr0\nAOCrd2az2WAymRAdHY133nkHGo0GXq8XX3/9NWpra7F161aIooilS5eipaUFZ8+ehcVigSAIOHXq\nFO+E4H+vWlpaAuKrtFotzyLdu3cvF5UhISEAfOKqtLSUn88EERMrXq+XCzQm6ACf+GMWPybM2Nyi\nKHJXqX8wvsPh4K5Qq9UKj8cDr9fbxprlcDh4c3lW1oMlSBARwsLC0NjYiI8++giAT1wtXbqUn+8/\n35YtW/j9cTqdWLduHQAE3DeNRsNfI7OQsnlZGRNmEWW9P1VUVFQuTZQ2e/5dC9alhirUfkOWL1+O\nCRMm4OTJk6ioqMCpU6eQlJSE7t2748MPPwQAHDx4EAcOHODnjBo1Cp9++v/snXd4VFX+/193+mTS\neycJRQyBJCBVSgBRVooC1sWGCKhfbGvBsgqiWNYG6irlEVZEAtgoa0E0sdEhEAg9EEgIkISE9DLt\n/P4Yz3EG2Kauy+5v3s9zH+e2c8/cuXjf+ZT3eyW5ubnccMMNgMeEu7i4mKeffprly5dTU1NDSUkJ\nDz30EM3NzWRmZvLmm2/y+eef09zczODBg/nqq6+or68nJSWFJUuW0LVrV1544QW6du1Kz5490el0\nnDx5koCAAObOnUtcXBzV1dU0NjZisVgYPHgwTz75JE6nk4SEBB599FEcDgft2rWjurqatrY2Xn75\nZcrLy+ncuTM6nY7169erlN5ll12Gpmlqvbm5mTNnzpCWlobD4VAkrK2tjY4dO5KUlKRsmUwmk9I9\nMxqNqhkAPCRJRpDatWuHwWBQ5MubtEpBWJfLxaFDh1QaU8puyOvLMeGn9GNOTg6vvfbaObIX54u8\n6XQ6TCaTmlNMTIxKjUq7Jwk5z5CQEDVXvV6vNNbkvGpraykqKlJpUbPZ7GNC763PExQU5BNFk5Ie\nmqYpMl9XV0eHDh3OmUd8fLyKoL344otUVFSQmZmJH3744ceFCR2vvfaaWvN3ffrxi7Fs2TLGjBnj\ns23cuHGUlJTQ2NhIeno606dPV1Eo8ESC0tPTKS0tVdv3799PTk4Ot99+O2VlZfTv35+5c+dSWlqK\nzWajsLCQ8ePHExkZidvtZsGCBSxfvpyXXnqJkydPMmfOHO644w4+/fRTDAYDt956K62trVx22WWM\nHj0aIQTdu3dnzZo1dO/endjYWBobG6mrq6OpqYmSkhL69++PTqdj4sSJXHnllRgMBi655BJ27txJ\nQUEB9913H5GRkYpg7dq1C6fTSUVFBZqmYTKZqKurIyoqSnVcnjhxgrS0NPbv309sbCzBwcE0NDQQ\nFBRE7969AQ/Rkuk5vV7vk9IsLi6mvr5eRbXMZrPy7ZRpSvBEI+U+7+0mk4nevXurc9566y3AQ4Rk\ndM37et66ZDIVKYTAbrcTGBiIxWIhNjaWlpYWRQK9a9h69+6NpmnU19f7NC+Ehob6pC8leZINFfX1\n9dTV1amxZFhdp9Nx+vRppYFntVp9IrZPP/20uoa3fpyMDHrr00mnii+//BI//PDDjwsT2nlTj95e\nn/7Upx//EvLy8rj88st9tt1zzz0sXLiQ3Nxc9u7dy0cffcTGjRt9BGfXrFlDcXGxWs/NzeXRRx9l\nx44dPP/881x55ZUcPnyYKVOmqJd5WFgYR48exWq18vHHHyvT9fj4eJKTkzl+/DjTpk1jx44dvPDC\nCzzxxBOUl5dzzTXXkJqayrZt25g4cSJ5eXlUVFQQEBBAeno6Q4YMATxRJLfbzcCBA1m8eDGZmZm8\n9NJLLFmyBKfTyUsvvcSdd97JnXfeSWBgIIsXLyYrKwudTkf//v3RNI2xY8fSr18/Wltb0el0DB06\nlOPHj+N2uwkLC0On02EwGFi4cCFms1nJZsyaNQtN07jpppswm80MHDgQ8NTk5eXl4Xa70ev1uN1u\njEYjERERhISEKBJSU1OD3W6nurpakbLk5GQcDgdWq1XpwLlcLgwGAwEBAYoUeXdOetdvyciVJG+S\n/ERGRqoOT/BNjW7dulU1Zsj9VquVrKwsRfxkqlTTNOXTGhAQoDTiTCYTr776qmoG6N+/v4oStra2\nsnHjRkUu09LS1OfS0tJzOk27d++uxINlethvIeWHH35cuDg37fm/CD9Ru0Ch1+vJzs4mIyODrKws\nXn31VYQQf7PO7Ww1eykDIh0DwJO3P3XqFBMmTOC5557j448/Vse/++67qi7qyJEjdOzYkcDAQBoa\nGrj22mupq6tjx44dLF26lOzsbNq1awd4ojlms5ni4mK++uorFixYgNvtpkePHpSXl7Ns2TKam5sZ\nMmQIjY2NNDY2Mnv2bFpbW0lMTCQ0NFTNe//+/djtdmw2m/IM1ev1KhXsdrt9UntGo5FRo0appgW7\n3c6tt94K/NTFWV9fT3V1NTU1NSr1mJycrArlJaE6deoUQgjWr19Pa2ursldKT0/H4XCoiNdDDz2k\nSJXsRAVPs4DZbD6H0BUVFflEyyQxBJRwrmyqkGPu37/fp2EDPISpuroa8KSNO3XqpKJ3mZmZqkHB\n7XYzePBg9fmPf/yjur9SUw5g4cKFPilbgLVr1yoiKRsrZCTTDz/88OPCgpHXXnvtvKnH/zWvTz9R\n+zfiHzkQSMyePdunc3DEiBEEBASwY8cOioqKWLduHZ9//jlPP/30OXVuR44cITU1lW7dujFv3jwW\nLlzI008/zdKlSxk+fDihoaHU1dURHR2tOvuef/55Pv/8cw4fPkx+fj5NTU2UlpaSnZ2tXuTXXXcd\nRUVFaJpGXl4eTz/9tJLHaGtrU7VUmzdvpqioiLS0NJXyi4mJ4eGHHyYmJoauXbvidrvJzMyktLQU\nnU6nCMJbb73F73//e8LCwmhra6NDhw489thjVFZWsnLlSlJTU7FarSxZsoStW7eiaRpNTU1kZ2dj\nNpuprq6moqJC1Z8VFRWpiKLRaCQ7O1vd0/j4eNW5uX//flX7NnjwYMxmMxaLRemayQL71tZW9uzZ\ng8PhwG63YzQamT17thpTNjGAJx3pcDjU9WU9mzQ5l5Esb8mPPXv2qC7Qzp07A56IW1lZmY9+Xo8e\nPZQem7zumjVr1LhDhw5V8zh16hQfffSROralpUWR6sbGRp/GAQlJKq1WK/Hx8ao2EGDWrFl/99n1\nww8//PhPQHp7Xihdnmev+1Of/yX4ORZNAJ9++qnP/qioKObPn8+bb77JsmXLsNlsjB49mqFDhzJs\n2DBGjRrFvHnz+O6775gyZQqzZ8/m9ddfZ8CAAVRUVFBZWcnp06d56KGHMBqNTJgwgRtuuIEOHTpw\n6623qoLxGTNmMG7cODRN4/HHHwc8Ea20tDTuu+8+1Qiwfft2mpubGTduHIMHDyYzM5PCwkK6dOnC\npEmT6NKlC7fccgsPPvggmzdvBmDdunVERkZiMplwOByEh4dTX19PTk6OEq8tLi5m1apVWCwW/u//\n/o8zZ87Q0NBAcHAwJ06cADz+pIMGDeK5555j5cqVHDt2jNjYWAwGAzqdTpESt9tNaWmpilStXr0a\np9OJxWJRaUVpIdXW1kZTU5NKQ0pT9JSUFJX+lLViZzcUSG0yIQRGoxGr1aosseRcANUx6q3DJsWD\n9+/f72Mav3PnTr744gu1XlRU5FNLJ7+fbMLw7uJ0u900NDSoZoGmpiYl8Os9howqemvAyVSxtwRL\nSEjIuQ+sH3744cd/EEFBYT7enmfD7/Xpxz+Ff8ai6c033zzHogl+qncCePXVV+natSujR4+mubmZ\nZcuWERsby+eff05iYiJVVVWsXbuWHTt2UFFRoTpgSkpKmDZtGpWVlZjNZiIiIjh8+DAxMTFs2bKF\nhx9+mAMHDiCEYMyYMeh0OpYuXarkMCRcLhfFxcW0b9+empoa2traCAkJobGxkeTkZJYsWULPnj0R\nQrB3717mzZunpCDcbjchISFYrVYWLFhAcXExw4YN45prrmHkyJGAxwg9IyODHj16qHqsxMREnnji\nCYKCgggMDOSxxx4jODiYoKAgRWhaWloIDw/n+uuvx2w2YzAY6NmzJwsXLgQ8kalDhw6d4xggyY08\nRnptulwuJe4Lnho/KR4r3Q+ysrLOEbuVzRLSnH7IkCGUlZWp60s7sK5du2K1Wjl58qQiejJypdfr\nFeEzGAwMHjzYx+HA4XBw7Ngxn3Rov3791F9u3u4BHTp04N1331XP0EUXXaSIWIcOHXxSrFIXzvt+\nFBYWqrHKysp87qEffvjhx38eOkXSLqQuz7PXf83Up+EfH+LHv4KVK1cyduxY/vSnP53jQLB582ZK\nS0spLCxEp9Nxyy238NhjjxEfH88333xDeHg48JMa/fbt2/nLX/7Cli1bcLvdBAcHK9Nxl8vFgw8+\nSLdu3RgxYgRDhgxBp9NRW1tLfX09F110EZ999hmZmZnMmzePt956i02bNpGWlgZ4OlBNJhOzZs2i\nrKwMt9vNddddp7S+ZKTK4XAQGBiool7gSc1+9tlnzJs3j7KyMqXdZbFYsNlslJaWquhN9+7d2bJl\nC0ePHkWv16v6NynQe/ToUYqLi3E6nURHR3Py5EkMBgOdOnWivLyc1tZWbrrpJk6dOkVwcDDFxcWk\np6fjdDoZOHAgS5YsobKyktbWVg4dOqR8RWV0zGAw4HA4VArP5XJhtVp99NckmpubFYkaOXIk7777\nLpqmcerUKdq3b8+RI0cAT/pS1nDJ9KqMcK1duxa73a7SrJqm0b59e9ra2s4RxpXXam5uVhFDp9NJ\nbW0tra2tqu4wJSWFhIQENm7cqMjatm3b1D2Wae0zZ85QXFzMXXfdpeyqmpqaMJlMtLS0qIYKp9Pp\nUyvnjVmzZqlo6o033khzczPTpk3zG7P74YcfFwSs1p8Ew73Tjt7r33zzDTk5OX9z/2+xLlOf4Am+\neMso/avwR9R+Zch05/z5889xIPj666+ZMmWKinAsXryYiy+++LzjCCH44YcfGDt2LFarlYqKCsxm\ns6obCw4OVg4GMr1VUFDAzJkz0el0PP7449jtdpqbmxk1apSai4xIFRQUqOjR3r170TSNFStWKDkG\nh8OhDNcdDoeSktA0TbkC1NfXs3z5cqxWK0FBQWRnZyv1e6lLJs8pKCjA4XCwZ88ePv30U0U4hw8f\njslkwmazMWDAAFwuF01NTRQVFVFVVYXb7aa1tZVhw4bRp08fDAYDBw8e5NChQ2zcuJHy8nJFgDRN\nU/WAJpOJd99918cIXc5FeqmCrwZadHS0+rx06VJVoC+EUJE3vV7PokWL1HEzZ85Ux2RlZSmlf/hJ\nx+3IkSPs27fPx59THtOhQwcsFgsnT55U48vtso7s2LFj1NXV+dSphYWFMWXKFMBDduV9dzgcNDU1\nqcaQEydOqO7Uffv2qehYaWmpGkt2AhsMBp555hm1vaSkhO3bt/tJmh9++HGBQMdzz/30/6gLKYJ2\n9vqvGVFD+PGroaGhQbRr104UFhYKTdNEu3btRGxsrDCbzSIgIEAEBQWJIUOGqOMHDRoktm/fLlJS\nUkRAQIB4+OGHRZcuXYTJZBKASE5OFqGhoeK9994Tw4YNE7169RLt27cX8fHxQq/Xi/vuu080NzeL\nsLAwodfrRXBwsBg4cKAAxNChQ8WCBQuEpmkiICBAGI1GoWma6N69uxBCCLPZLEJDQ0VOTo4ICAgQ\nOp1OzJgxQ0yfPl3odDrxzjvviOjoaAGII0eOiHHjxomYmBhRXV0t8vPzRUhIiIiIiBCA0Ov1IjEx\nUZjNZhEZGSmuvvpqYTQahcFgEPfee686RtM0odfrhV6vFxaLRQDCYDAIvV4vunfvLsLCwgQgbDab\n6N69uwgKChIGg0GkpKSI7t27i+joaGEwGAQgABETEyPGjx8vAGEymcSoUaPUGCaTSXTs2FFERUUJ\nQN0jea5cLr74YgEInU4ndDqd0DRNAMJisYj27dur47zPDQ4OVp9DQ0MFIDRNE0lJScJsNqt9w4YN\nEzqdTgDCarWec215XZvNptajo6PVHLwXk8mkngs5n5SUFLXufV1N03zGMBqNarucj/zv2UtCQoLP\nebt27fJ5xs93jn/xL/7Fv/w2i17k5+er/x/l5+dfsOv5+fni1ltvFbfeequYPn26gJ9Pt/wRtV8R\n0nB906ZNxMbG8vHHH5Obm4vFYiEzM5OHHnqInTt3KqslmcYKCgqiubmZoUOH+sg5NDU10dzczKRJ\nkxgyZIjy1PzDH/5AUFAQb7/9Ns3NzVx99dUYjUbatWunrJvAU0Bvs9l49NFHsdvtDB06lJ07d9LS\n0kJCQgLNzc18+eWX3H777bjdbubOnatqppYvX65MxI8dO8YVV1xBQ0ODmnOXLl0ICAhA0zR0Oh06\nnU6lbiU0TaOtrQ2dTkfXrl0xGo088cQThISEqChPUlISLpeLwsJC+vTpo753YWEhzc3NuN1uqqqq\naGxsxGq1YrFYaN++PTqdjoqKCpXCk9eXFkxWqxUhhGrSaGlpIS0tTUXYwFNQ/8MPP6gCejlnQHmM\nynUpFyLnJ8epra0FPF2UsjZNIisr6xwdMu9aNAkZGQVPzdvZ91NGAmVUUGq89evXT53nHRn0lmpJ\nSEhQ+mviRxN3eUyPHj04G95enw6Hg/Hjx/P111+fc5wffvjhx28Nb5Hx/5/gJ2q/IqThunQgyM3N\nRdM0evXqxY033sipU6dISkrixhtvJCsrSxWiT548GU3T+NOf/kRjYyNut5t77rmHqKgonn/+eex2\nO6+88gqnT5/m8ssvV8fZ7XYGDx7M2rVrSU5Opr6+nhtuuIGrr76a8vJyPvvsMx+tsAULFiCE4He/\n+x21tbXodDq6d++ulPDHjx/PM888Q79+/diwYQORkZHqe91xxx3cf//9DBw4kOHDh7N582aljp+Q\nkEBQUBAxMTEqXde+fXvMZjMffPABbrebU6dO4XK5ePvttzGbzSoFV1dXh6ZphIeH+3hwSgN2IQRN\nTU0cPXoUs9lMQECA8v2MiIhQUhR2u50NGzaodGVdXZ3y15RdkZJ4gic12tjYyNKlSxWpET82QMjr\nV1VVKdJbXl7uQ3KkBhp4BGglQUtISFDNDUajkcDAQBITE9W4UgvtnXfeATwpYikiLCHXZZOA+LET\ntbm5GavVqoh8fn6+OudsQihJ3okTJ1QaVF5Pfr+CggIA1S0rr+ctIaJpmmpy8cMPP/z4TyEoKIzn\nnnvmn0o9+nXU/DgvvIVoS0pKWLNmDStWrEAIgdls5p577uGtt95iwIABPPfcc+zcuZOEhAQApk6d\nis1m4+uvv2bVqlV0796ddu3aERUVRU5ODkajkcGDBzNlyhRycnKorKxU3XnffPMN77//Pp06dVLR\nn+rqakpKSqisrKRz587k5uYyYMAAGhoaEELw/PPPc++993LRRRfx6KOP8swzz5CQkKAI1b59+xBC\nqBf3woULueiii5g1axYWi0V1SDY2NtLW1kZKSgoZGRns2rWL1NRUMjIyOH78OBEREfTs2ROA06dP\no2kadrsdi8Wi6vRaWlrQ6XScOXMGl8ulInRSSuSpp54iMDCQiIgIjh07RmVlJQ6HA71eT1NTk5LA\nEEKoDkVN04iMjFS6YXq9Hr1eT319vU/n5BNPPKHImbyupmmEhIQQGhqKw+HggQceAPAhbbLgX57j\ncDiIj48HPKTNaDTicrlYunQpjY2NHD9+3CfSBnDbbbepzy+88IKPL+m6deswGAwqWucNOX9N0xTZ\nA86xwvImn96Qgrxms5mgoCCljVdRUaE6TW02m4+EiLcumx9++OHHbw0px3Eh6aT9o3W/jtpvjH9G\nuPbDDz8kKyuLffv2KcP1xsZG1q1b9y9dKzc3ly5durB161YCAwNZunQpLpeLKVOmsGbNGv76178y\natQoHnvsMXWOt2zFAw88QEVFhYpGDRo0iISEBK677jr27t2L2Wymb9++CCFITEzk6NGjahzxo1RH\nSEgIgYGB7N69m+DgYFwuF0eOHCEjI4OioiJiY2MZNGgQSUlJWK1Wtm/fjsFgUA0ExcXFJCQkoGma\n6u6UkaCWlhbCwsIU2cvMzCQkJASz2czp06cJDAzE7XYrEvLNN9/Q1NRETU0NYWFhKtUpSd/w4cMB\nlGCtJKPV1dWYTCZFbKR1lYSmabz00kvMmTNHyYmAJyXZ2NhIREQEERERqunB2wYKPFFQk8mE2+3G\n6XSqlOGhQ4cUQaypqVHneEeppBWWt1SGTAV7e4l6S3R4/0byv0VFReq7eHevtrW1KeFdvV6PzWZT\n6VRN07BYLDgcDhoaGlTEVXaxgofoy+uc7V7ghx9++PFb4+9ppp0P/2s6an55jn8C3sK1M2bMOO8x\ny5Yt4/Dhwyo9BR4B2bfffluJj/49aJqmonJGo1Gl7LzlOCQB27VrFw0NDeoF/f7777Nt2zaamprQ\nNI2KigqcTieDBw8mNDSUyspKHnjgATIyMkhKSuLVV1/l7bffpqWlRb3gnU4n77zzDjabjerqahwO\nB506dVLCtG63m7KyMlwuF42NjaxevZrw8HDa2tp45JFHfFqP8/LyqK+vx2q1qhqx4OBgUlNTOXTo\nkJK5aGlpobm5WTkL6HQ6FfFpaGjA5XLx3XffKZmLuro6LBYLTU1NJCUlUVZWpnTTXC4XYWFh1NXV\nIYQgPDxc2UY5nU5cLhdDhgxh69attLS04HA4fCyVIiIiqK6uRqfT4XK5qKur4/Tp03z44YfqPntL\nlLzyyisqSibnJ36UKImIiKC8vFyRRnl/JaQXqYTValWdq94ESZJfb3j7i7766qvqvnkTNXGW7Iis\n29PpdD7CyvK5M5vNtLa2KmLrdruVz6q3aK8ffvjhx2+Pn/54lWlFScQu5HWZ+gR8AiI/B/6I2j/A\nPytcO2bMGM6cOeMjXPvKK6/www8/sHr1aiVc+8033ygphUWLFjF+/HgmT55McnIyAwYMYPz48dTW\n1vLnP/+ZBx54gNTUVJ566ilmzZpFbGwsQ4YMIScnhy5dutC+fXuef/553n33XVJTU5W47CeffIJO\np+Phhx/m888/x2g0YjKZuPnmm1XqMykpCZvNxvr169m5cydjxoyhoaFBvawNBgO9e/fmgQceUCQk\nPT2dfv36UVtby4YNG1REKD8/n4qKCiwWC4WFhVRVVREQEMAPP/ygXvRGo5H7778fi8VC//79lRdn\nTU2NEpa12WxER0djsVhUyvLSSy/FYDDQ1tZGaGgoycnJmM1moqKilHQHeMjPmTNnVHRs8uTJXHbZ\nZeh0OkV+ioqKfHTPvCNpsbGx6HQ6RahOnz6NwWBQ0ShAeWiCRxdHRsZk2tJkMmEymaioqPDRUTvb\nVQDwmZe3vpp31E6K1kq7Lu99mqapmjuj0aiOkTIbkvDK5hDvBgO9Xq9M7uW9MBqNJCcnK6P3gQMH\n4nK5VGTODz/88OM/gbN10/6Z1KOsCfOnPv8/gezk9BaunT9/vhKuLSwsZPz48dxzzz1KuFZ2yZ1P\nuHbTpk0sWLBAMe/i4mKmTp1KUVERp0+fPqdzcty4cZw8eZKamhr27t3LkSNHWLVqFePGjSM5OZnX\nX3+doKAgdu/erV7m2dnZBAQEcM8999CnTx9uv/127HY7/fv35/Tp03Tr1o1t27Zx//33I4Rg1apV\n6nqDBg1CCEFYWBh5eXnce++9BAcHYzAYKC8vp6ysDPCI3tbW1uJ2u5VpemtrK83NzaSmpnLJJZfQ\nq1cvFXUqKytj4sSJnDlzhoqKCuVCcOrUKRXlaWho4ODBgyoi5HK5KCkpUd2sJ0+e5PDhw7jdbgoK\nCpQ3J3h0xWTNlRCCN954gy+//FIRMvCksL1Tmd5kpbq62sdkXaZqm5ubVXSquLhY3afdu3fjdrtV\n2lIIgdVqVXVwksjpdDqfblN5Pe+aNaPRqOrdLr30UrW9rq5OfT7bugo8kTNZI+dyuXA6nZSWluJ0\nOlXKMjExUc1fEkv5bMo5OhwOHA4HxcXFyuh906ZNKnrrhx9++PGfwmefrflPT+E/Dj9R+weQnZzw\nt4VrpQr8+SDOEq612WyMHTuW77//Hk3TlKE6wIMPPqj8NCXuueceZs+erdJybrcbu93OrFmzKC4u\nRq/XM3/+fMAjrCrJYUREBIGBgWzfvp20tDQsFgsdOnQgJSWFnTt3kp2dzbJlyzAYDCqlZzAY2Lp1\nK/Hx8SQlJWEwGCgoKKCtrQ2z2czRo0dZvHgxmqYxZ84ckpOT6dy5M+3atSM9PV1JPnTp0oWCggLc\nbjf19fWqq1NG14YPH05kZKTy3Rw3bhwWi4Vp06bhdDq5//77AQ+BKS8vx+VyodPpiImJIScn8sYy\ngAAAIABJREFUB7fbzSWXXMLNN9+sOiRramowm81KfFeKwWqapoRiXS4Xv/vd79T96du3r4o8nTx5\nUtW9AarBICkpSf0WMhIqSZVEYmIicXFxPnVmubm5iuxJ5wU5rjeMRqOP5ZZ3ilRGzLzTmBImk0kZ\nsntH7LzN1gHleCDH8e6mtdlsPPnkk+j1elW/Jr9bdHS0Wj/bNssPP/zw47eB7md1XXqnIv8Xuj79\nNWp/B7JmTLoByK7EXr16nRPd+HvwTjvBTzVN4Pti1ev159gMAaxdu5bq6mqleh8YGMiwYcM4fvw4\nVVVVzJ8/X6Vb5XWCg4Pp2LEja9euZcWKFQQGBqpuyIaGBjZs2IDb7aZPnz7ccccdzJs3D51Ox6lT\np5gwYQJbtmwhISGBOXPmKBN1b3Ii0dLSQmlpKa+99hoff/yxSrPpdDpCQkLo2bMn+fn5XHrppaSk\npDBnzhwiIyOpr68nIyODHTt2sG7dOkwmE1999RUdO3akrq4OnU6H1WrFbrdz4sQJldpct24dYWFh\nFBUVsXv3bqKiotS90zSNnj178tVXX/HGG28AHrkMWTN46aWXqvuTnZ3N999/T0BAgLJrioyMRAjB\n6dOnaWtrU0RR6pbJ38Zms9GlSxdlOP/uu++qpgbwNA7MmjVLkbKoqCglyyHHkqTb4XCQnZ2tpEnO\n9/sDPvVj8FNErqioSFlWJSUlUV1drfYZDAY6dOjAwYMHfRoOpL7d7t272b17t7qG0WhU0cHevXtT\nVlaG3W6nd+/e552TH3744ce/E1ZrwDmpRW9cyOv/9RZS/0wXpcSkSZPYt2/fL77msWPHyM3NVevb\nt2/nvvvu+7vnfPjhh9xyyy0cPXpUdXLKCNiNN96oiuLPnDnDyy+/zMmTJxkwYAC9evXivffeAzw/\nVrdu3Vi5ciUtLS00NTWxcuVK3G43b7/9NuBpOnjllVfOuX5tbS1du3YlNzeXjh078uGHH1JSUkJJ\nSQnr1q1j9OjRxMTE0NzcTLdu3ejSpYuKyEyePJktW7Zw++238/3332O1WsnKyuL6668nICCAXr16\n0adPH6666io6duwIoOyb5s2bx/r169m9ezfvvfceLpeLyspKHnroIcBDBh977DGOHz9OeXk5Xbt2\n9anfioyMpEuXLtTW1rJr1y7sdruqYwMoLCwkPDycgIAAoqKiaGpqoqGhgd27dzNt2jSGDRumBF/N\nZjPR0dEqbafT6QgNDeWSSy7x0UZzOp1UVlaqiJhsAjh+/LiKKm3bto28vDzAI7QbERGharCEENx/\n//0+ZFQKxXqnDsFTnL9161bAE5m7/vrrlQE9eLw7V61apX6LyspKJXXiTdLgJzIlsXfvXvVZpmFl\nxEye4x3hktFQl8vF0aNHVfev9z3x/iNDfld5L72/r8ViUfNcs2aN+oPilxbC+uGHH378HPzctOcv\ntmy6wPAfIWreXZT/CAsWLPibfpj/CkpKSli6dKla79GjB3PmzPm750jhWm/ImjGLxcLw4cPJysri\n7rvv5uuvv2bWrFm4XC4lugqel2rXrl257bbbFDmaNGkS9957L3feeec5qaWz00xut5u1a9eyadMm\nLr/8csATXenfvz9JSUnk5+dTW1uLXq/ntttuU6m8qVOnUlJSgtvtZtiwYZSUlKDX67njjjsYPXq0\nuo40+r7++uuJjIykf//+NDU1ceONNxIVFUXPnj3JzMxEp9OxZs0acnJy+Mtf/oLVasVkMvH73/+e\n9PR0wBNpuvvuu5k6dSrV1dXs2LGDTp06odPpiIiIIC4uji5durB3714yMzO5+uqr6dGjB7///e8R\nQuB0Opk6dSqrV68mNjaWzp07YzQaCQ4OJjQ0lJaWFpxOJ0eOHGHDhg2EhIQQFxdHREQEEydORKfT\nqejRyJEjCQkJUZpich4TJkzAarXywQcfcOLECZ97mpmZyYsvvoimaRiNRrZv386gQYMAj4uBlODQ\nNI1JkyYBHr/Turo6n65QSaxsNhtWq5WIiAgiIyNVRHT+/PmEhoYqoiQJP3jIlbeGGaDqzyQkgbLZ\nbDgcDvWby/OGDRsGeIil3W5XBC8tLQ1N0wgICOCKK65Q40mCKe8vwMCBAzGZTEqexQ8//PDjt4Xx\ngvLu/FfX/6u9PqUf5rFjx0Tnzp2FEB5PrEGDBolrrrlGdO7cWYwfP14dL/0whRDCZrMpP8zLLrtM\nbNy4UQwcOFCkpaWJ1atXCyGEKCkpEQMGDBDdu3cX3bt3Fxs2bBBCCNG7d28REhIisrKyxGuvvSby\n8/PFyJEjhRBCVFdXi6uuukp069ZN9OnTR/kbTp8+XUyYMEHk5OSItLQ08frrr4tPPvlEaJomevXq\nJY4dOyaEECI5OVmUlJSo+W7btk3NPyUlRUyfPl10795ddO3aVezfv18IIcSiRYvE1KlThRBCzJgx\nQ7z88stCCCG2bdsmunXrJpKSkkS/fv1ERkaGWLlypZg1a5YYNWqUGDJkiMjJyRFNTU1iwoQJolev\nXiI7O1usWrVKjTtmzBgxfPhw0bFjR/HII4+oufTq1UsIIURjY6OwWq0iMzNTZGRkiMWLF4vJkycL\ng8EgYmJiRE5Ojvjd734nXnrpJREXFyeGDBki+vbtK9LT00VmZqaYOXOmSElJERERESIgIEAEBweL\nbdu2icDAQDFhwgTRp08fER4eLiIjI4XZbBYxMTHitttuEyUlJSI9PV0YjUah0+mEXq8XBoNBJCUl\nCU3TxNChQ0Xnzp1FWlqasFgsolOnTiIlJUWkpaWJUaNGCZ1OJ1JSUkRsbKwIDw8XmqaJ8PBwYbfb\nxdSpUwUgBg8eLAwGgxBCCIPBIAICAkRAQIDo2bOniI2NFSEhIUKn04lrrrlGACI8PFyAx/syLCxM\nxMXFCfB4fSYmJoouXboI8HhrentmBgcHn+OXqdfrxdixY8Wtt94qAHHZZZcJm80mEhMTRXp6uvLf\nHD16tBpLp9OJ22677by+dt7ensnJyT77NE1Tz7S3b6qmaaJfv37K79NisZzjHWqz2URAQMA548XH\nx4vAwEABHj/TLl26iOjoaJGXl6eeofPN07/4F//iX37tJSgo7ILy7vxX1/+rvT7P10UJHvY5Z84c\n1dm4YcMGwDfC5O2HGRQUxFNPPUVeXh6ffPIJTz31FOBJV61bt47t27ezbNky7r33XgBefPFFBgwY\nwI4dO1SxusT06dPp0aMHhYWFPPfcc9xyyy1q38GDB/nyyy/ZsmULTz/9NO+//z4jR47k6NGjtGvX\nju3bt9PQ0KCkFM5XfL1u3TqWLFnCXXfdxcsvv3ze+yLPmTBhAn/+85955pln1L5PPvmEEydOsG3b\nNm688Uby8/N59tlnSUtLo0+fPuTl5fHwww+r7snCwkKWLl3K7t27Wb58uYoEyZqqL774Ar1eT2ho\nKH/9619ZuXIlkZGRDBkyBJ1OR2VlJXl5eVRWVhIREUFhYSGDBg1iz5497Ny5ky1btjBz5kwWLVrE\nlVdeiclkYv78+XTu3JnW1lY2btzIokWLaGxs5IorriAyMpLdu3dTV1fHxIkTCQoKYvz48TidTp59\n9lmVhvv2229ZtWoVhw8fZuDAgZSUlBAUFMSIESOUbdTRo0dJS0vjxRdfJCAggNraWrKyspg7d656\njpxOJ9OmTUPTNNVdeuLECaqqqnC5XLjdbj788EPgJ40xo9FIXV0dzc3NGI1GWltbKS8vZ//+/cBP\nOm1SOqSpqYnk5GRSUlJUDZzb7VZpUPhJrLe8vJzDhw8rJ4pvv/3WJ5368ccfn/d58G5kaGxs9Hmu\nhBBs2bIFl8ulJEqcTid6vZ6NGzcihEAIoervvC2vpIfs2c9pSkqKquGrr69nz549VFVV8d133533\nmfXDDz/8+HfhXxW5/V/Gb95MkJubq2x5rr32WpUG7dWrl7LhycrK4ujRoz6m0+BJT8mUTdeuXbFY\nLOj1ejIyMlQdjd1uZ+rUqRQWFqLX6zl06BDA3y3+X79+vXpZDh48mOrqaiUoO2LECIxGo0pfbdy4\nkQ0bNpCWlsbQoUPJzc2lqamJ9PR0OnfuTEtLC0II5s2bx+HDhwFPvdTatWvJy8ujtraWJUuWMHPm\nTKUMHxsbC3hSZQaDgalTp9LY2MjAgQP59ttvWbNmjUpjLV26lCVLllBZWalSbHPnziUuLo45c+aw\nYsUKWltbGTt2LJ9++ikul4thw4ZhsViYMWMGo0ePplu3brS2tlJSUsJf//pXduzYwWWXXcaKFSuY\nMWMGkydPJjs7W8lktLW1sXLlSgoKCli1ahWbNm0iLCyMq666iqVLlyrLIU3TCA4O5qKLLsJisWAy\nmZSPaG1tLdOmTeO7777D4XCwevVqAgICaGlpwWaz4Xa7CQwMpFevXkoXzOFw0LVrV9555x0lAOty\nudi8ebMqupdaaiNGjGD16tUMHz6c3Nxc5s6dyx133MGiRYsICAjAarUSHx+v6uRknZi8h3a7HSGE\nEsOVaUmLxUJjYyN6vZ4OHTpw6NAhWltbEUJw7NgxhBAEBwfT1taGEIKbb75ZjZmamkp5eTktLS2E\nhobSrl07jh8/Tn19vRKZdTqdSlQYfmo2AE8TgnyGampqSEhI8DFNF0Io94KoqCiqqqp8LKbkM+92\nu1U9qNFoxGg00tzcrFKo4eHhVFdX+3ilSuh0OqZPn/43/+344Ycffvz68NTn/lzBWbntf0Xw9jcl\nan+ri3LEiBHndD961+RIePsheqvYewuVvvbaa8TFxakieG/rnr+Hv0Xk5DXAE4kYNGgQ4eHhuN1u\nbrrpJqZNm4bRaOTJJ5/klVdeoaCggGuuuUZF6ACuueYaNE1jwoQJTJ48mZKSEtra2rBYLFRVVfHh\nhx8ihKC5uZmoqChWrlzJgAEDWLNmDY2NjQwdOpTU1FQ++OADCgoKlP3Syy+/zHvvvUdjYyPbt2/n\nsssuY/fu3URERPD666/z7LPPKk2vhoYGrrnmGp5//nkefPBB4uPjsdlsvPHGG1gsFl544QXGjh2r\nfoeuXbsSHR3NoUOHiI6O5vrrr2fOnDl06tRJ/W7emnHgITu5ubnU19eTmppKQ0ODsjkCOHDgABkZ\nGZSWllJfX0+/fv04ePAgra2tNDU1YTabGTFiBPv27VP+kytWrAAgMzOTPXv2oNfrCQ8PZ8yYMcye\nPZumpiaamppUDV5sbCxGo5H6+noWLFigSM+JEycIDw8nLCyMqqoq1q5dy7Bhw1QUUjoZeFsmOZ1O\ntd/lcrF161auvPJK1qxZQ2JiIqWlpcqSSf6Wf/7zn7nzzjsBTwOLJG2VlZXceeedbNiwAZvNplwk\nhBDKN1T8KNEhCWlkZKTPsyi9P+X53qTO293BW8gXfhLEbW1tVZppABkZGRw5ckSdC9C/f3/WrVun\nNNrOlhPxww8//Ph3IyjI09R0IXVx/qvr/7Vdn3+ri/LXTK3U19erCNXixYvVi8zbD/NsDBgwgPff\nfx/wpKuioqIICgo6h7zV1dUxYsQIVq1aRVBQEBs2bMDlcnHVVVcxZ84cDh06REZGBosXL1adjW1t\nbTidTo4ePUpmZiZut5va2loMBgOVlZV88cUXZGRkMGHCBDRNIy4ujiNHjvDCCy8QHx9PcnIymzZt\nQghBv3796NixI42NjfTv398nZXb33XeTkpJC37596devH7/73e/44osvFDkuLCwkOjqaZ599luPH\nj6NpGjExMVx++eWcOXOGhoYGZToO8PDDD/PWW2+RkJCA3W5ny5YtDB48mKysLIKCgvjqq69YuHAh\nBw8eJCQkRKUDTSYTQUFB9OjRA/iJAGuaRocOHTh+/DgGg4GWlhby8/N9DM5ra2v54YcfOHToEJs3\nb1Zm6vL+tba20r9/f6qqqnjzzTdpa2tDp9NhNBopLi7G7XbT1NTk4+8ZEhKCXq8nIiICi8VCS0sL\ner1eeaXGx8cTEBBAZGQkwcHByqRc/lHgdrtJTk4GPMRt7969yk4LPF2ftbW1VFZWqvsmz3U6nSrS\nZjabWb16tSLk0qJJPlfyPokf9c2EEEqyQ94/qbEnU53yfLlfzhc8DQKyo9ObnGmaps7bu3cvzc3N\nKm2v0+n48ssv1Vy83RP88MMPP34r/NK05y91ArjQ8JsStb/VRbls2bJ/SlTz7GPO1y1599138+67\n75KVlcWBAweU3EBmZiZ6vZ6srCxmz57tU0s2Y8YMtm/fTmZmJo8//jjvvvuuGlMeU1NTQ2NjI488\n8giTJk2ipaWFTz/9lISEBJxOJ9nZ2TidTg4dOsTkyZNJSUkhKyuLpqYmqqurGTx4sBpv8uTJzJw5\nk6ysLP74xz8yePBg4uLiEEKwaNEi7r//fqZMmcKBAwcoLS2lrq5OnVteXq5IRVNTE3l5eRw9epQP\nPviAffv24XK5SEpK4tSpUzidTuLj47n55pupr6/n+PHjxMXF8f3336uat3Xr1p2j8waeiNqTTz5J\nRUUFZ86cYcuWLdTW1hITE0NycjInTpzAbreza9cuJe8hBW6Dg4PZsWMHQgguuugiTp06RWlpKd9+\n+y1nzpzxsX2qqKhQhMBisXDs2DGfNCB4IkKy8/e7777D6XQSFBREU1MTbrebvn370qdPH9xuN0uW\nLFGWVNJrVKfTcfz4cSoqKqivr8fhcLB9+3YAVZd24MAB6urqcDgcPtFd2fkoId0JpG7b6dOnfaJw\n9fX1PqQrIiICg8FAa2urIl5Sr61nz57qOG+SLL+/t1itEIJTp04Bnuie/GPEe783mpubFWmTwrvy\nmZbpVnl/S0pK1O/hjfNFtf3www8//p0wmazq84XUxfmvrv9Xd33+t2LevHnizjvvFNXV1SIgIECY\nzWZhNptFcHCwsNlsIj8/XwwcOFAYDAaxfft2MXXqVPHWW2+JtLQ0ERoaKt577z0hhBABAQGiY8eO\norKyUsyYMUPMnDlTdY/Kn2P69Oli9OjR4rbbbhNOp1NomiYWLVokPvvsM2G1WsUNN9wgYmJiRHp6\nuoiLixPBwcHCYrGIyMhIkZmZKV5//XUBiMjISBEcHCxefvll0a5dO5Gfny8yMjLEH//4R2E0GoXN\nZhPTp08X1113nQgMDBRhYWFi0KBBomPHjiI7O1scOHBAZGRkiMjISDFt2jTx8ssvi8mTJ4vMzEyh\n1+vF4MGDRZcuXUROTo6YMmWKuOKKK4ROpxMGg0EkJiYKQFxyySXCaDSKdu3aic6dO4uJEyeKW2+9\nVWiaJkJCQsTEiRNFUlKSAE+npdVqFTqdTgQGBqoOTEB1I8pF0zSRlpYmwNNtaTabhdFoFJqmiUsv\nvdSn09FoNKouUbnNZrOpc8HTfWmxWITBYFDbZVdnRESEOs9sNqvjz+76lIscU85TLmfvv+uuu9Q2\n77Hk3P7ecvHFF4sOHTqo77ds2TIBqPn/rUXuN5lMolOnTv/wOpqm+fw7+EfH+xf/4l/8y89f9L9K\n16V356W/6/P/I8hooEzf9u3bl8cee4xx48YREBDAddddx8GDB7nkkkvUOTabjfT0dNra2pTWmE6n\n49lnn+Xyyy/n7bffZv78+SpSIlFfX09YWBiaprF48WKEELz00kvccccdBAYGMmPGDOrq6jh8+DBO\npxOXy8WkSZMYOHAgvXv3Zv369QCqAeKVV16hvLycsWPHUlJSwosvvojVaiUxMZEXXniBbdu2kZqa\nypkzZygqKqK2tpbi4mL69u2rivabm5uZP38+H3zwAQcPHlQG4AcPHuT48eMIIVi/fj2pqakIIZRP\nZXFxMaGhoZSVlTFw4EDMZrOqgWpoaGDhwoUqjdjW1kZYWBhms5nGxkaf7tympiZVayUNz48fPw5A\nu3btcDgcyg+zvr4eq9Wq9MFCQkLUfLp06UJYWJjq9pSRprS0NFpbW7HZbACq3s1ms6mCfUClEL09\nRMHTJBMREeEzpvQdPTtiKd0UvHHLLbeo6K3syPSO5J2NAwcOqO/vcDgYP368mrc3zo5CyyiZ2WxW\njQrnM46X697Psx9++OHHvxMmk+mCiYj90vVfM6LmJ2r/JPLy8rj88st90rcTJkxg4cKFPPnkk0RG\nRtKzZ082btxI9+7d1Xlr1qzxseDRNI3rrruOHTt2cNddd/HAAw/Qq1cvAFWDdPfdd7Njxw4KCgo4\ncOAAQUFB7Nmzh8zMTBITE7n++uvp1KkT7dq1w2AwsGrVKp5++mkljvvFF18QHx/PqlWrqK6uZsqU\nKURGRuJyuQgMDOTOO++kqamJtrY2pkyZQnZ2Nj179iQgIICmpiaCgoIICgry8cJcv349N998M599\n9hkOh4O2tjbVqSt+NHFvbGzk2LFjREVFqfSmrD/T6/X06tWLY8eOkZSURFBQEMOHD/chI3q9HqvV\nSmtrK0ajUYnK6nQ6brnlFgwGA263W3VkypRjWVmZT7diUVGRqlfT6XRKkFYIwZ49ezhz5owysJdE\nRhI3Sco6depERUUFmqZhtVqVcXp8fDwGgwG9Xu/TaJKfn69kOrzr27z/KyGJ+TvvvKO2NTQ0+KRM\nxY+1bN7YsGGDqi9zu93KKurOO+/08YgNDw/3ed7A4zoga9EA2rdv70PivOcYHR2tPksRXz/88MOP\nfy+MrF372TkF+T9nXdao/dzzf4112UzQv3//X1wz5ydq/yIkYcvPz1dF5vfccw979+5l9erV6rg3\n3nhD6bHl5+cr8ibrj8Cj3/aHP/xBrct9HTp0oLCwkJ07d/LCCy9QX19PTU0N3377LTU1NdTV1VFW\nVsbJkyeVf2VYWBiffPIJY8eOZfbs2ZhMJqKiohg9erS6dlJSEhUVFaqzMDw8HCEE8fHxHD9+nLS0\nNIKCgggODqa2tpbNmzfT0NDArFmzOHHiBDfddBNVVVWYzWZ0Oh0vvviissWSsg9XX301J0+eVC/4\ntLQ0AAIDA4mOjqa1tZXi4mIiIiJwu9188MEHgMfYXkYqJVH5y1/+gqZpZGVl8dlnnylZjKioKPXg\na5qGw+GgsbHRh+i0trbSvn17hBDExMQowiXJVGhoKEIIRfDkvZfRsMOHD2O1WmlpaVG1a+LHDk0Z\nxXQ4HIqUvf/++yrC5XQ6MRqN5yj6m0wmDAaDuqZ3ZO2jjz4651k7u0ZszJgx6nrezQUfffTR34z0\nyaaO1tZWFbmU39N7fEkANU2jsrJSzb1r167nzMsPP/zw49eH+MeH/H8KP1H7L8HZHbMffvghOp2O\nbt26MW/ePPVilWQmKChIkQ8ZOTl9+jQDBw5UPphCCNauXUu3bt3US1sIwebNm5k5cyZTp06lrKxM\nFdcLIcjNzeWdd94hNDSUHTt2UFJSQktLC4sWLSIoKIjU1FQAFi5cCEBiYiJVVVWcOXOGq6++mry8\nPMLDw7Hb7axfv56xY8cCKF/QefPmqfkuXLgQnU6nNGgkEXM4HCqULITAZDIRExNDREQEOp1OmcIf\nPXoUIQQnT55Ep9PR0tKiUrmnT59G0zQVFevbt68ygoef7JQCAgJUo4PBYFCaauArEWO32wkKClKE\n1eVyYbVafbw0pbG6/B7ellRnQ6/X+5Ay8JBZ745WGY2U3xc80Twp4wFQUVHh0xwhUVJSgtFoJDAw\nUOnlAcraSzaIeKds/fDDDz/+HQgKCkMIx6+WepTvh/+V1OdvLnjrx8/DsmXLePTRR9X6kCFDCA0N\n5euvvyYkJASDwUBqairp6ekcOXKESZMmMWzYMI4fP05xcTF2u53m5mbee+89evbsiV6vZ8+ePcTG\nxrJkyRK2bt2KyWTiyiuv5PXXX+ftt9/m8ssvp7CwkMmTJxMREUHv3r2pra2lW7du1NTU0LVrV+bO\nnUvnzp3ZvHkzJpOJt956izfeeEOlcwsKChRxbGpqIjw8nMjISNavX8/y5ct5/fXXOXToEBaLhV27\ndvkItrpcLlwuF3FxcWRnZ5Obm4vJZMJqtaqoUc+ePdm2bRuVlZWkp6dTXV2t0pKhoaGcPHkS8EQ4\n/+///g/wkI+EhARSU1Pp2LEjixYtYvPmzbjdbiXhAZ6aOZnCtdvtPvVxco7yeJfLpaJ6er0et9uN\n2WxWY5lMJgIDA2lsbFTbwFfg1hviR0kPh8OhJEqGDh3KiRMncDgc9O7dm8cff5yRI0dSVVWliNrZ\nUbjy8nIfFwQ5d0kCIyMj0ev1qoZv586d7Nq1S5FR7/o8P/zww49fH3olx3Eh6aD90vX/Wh01P34+\nZMrVGxs3biQmJoa8vDwVzZk9ezbdunVj/vz5WK1WFi9ejNlsZsyYMUpa46KLLuLiiy/mjTfeoK6u\njnvuuYehQ4dy8cUXc9NNN7Ft2zYqKir48ssvmTdvHna7nQEDBpCdnY3FYuHNN9/EZrNx11138dRT\nT9GuXTuSk5O55JJLaGxsZNeuXRQWFhIWFkZaWhoBAQGMGjWKDh06oGkahYWFtG/fnlmzZlFTU6Os\nnuAnYudyuZSrxIEDB5RmnMPh4P3331dF/4cPH1YEpKysDKPRiNvtpqWlRTUT6PV6CgoKiIqKUu4X\nNTU1bN68WennSY09b1Hl9PR0RYDcbrdKeSYmJgIeUlRdXa0EZr2jZ3K/hN1u58yZMz7HhIaG4nK5\nVP2bd82cTqdTJEmSq7lz56oo6b59+7j66qvVWHLcs0mfd0RM/CioK+v82traKC8vVyTNeyz5e5y9\nzw8//PDj18W5f6j+Uvh11Py4YBAXF8c777xDREQERUVF6HQ6OnTowNNPP02XLl1wOp3k5ubS0tLC\ngQMHGDNmDI888gjXXnstOTk5HDlyhODgYMaNG8d1113H4cOHueuuuwgNDaVnz5588MEHLF68GE3T\n+Pbbb6mvr2f8+PFYLBaam5t58sknVZi5qqqKHTt20K1bN0aNGkVdXZ3qIm1ububDDz/kxIkTXHzx\nxUpZv7q6mm7dutGuXTvAQ2YmTpwIwO233+4TJdLpdIqE5OTkqOJ/aTMFMHDgQEV6ANX1fk0JAAAg\nAElEQVTVaLfbWbhwIbW1tVRVVQEoqyi73a609uR4Env27EEIodKhKSkpaJpGaWkp8FPNmYScn81m\nIzg42CcaZTAYiImJ8akfkylKWf8mF/At7pf3wbt5wbvGzGw2ExwcjMlkOidiJsfx3gce0tatWzcc\nDsc5qVfvaw8ePBg//PDDj38HTCYrr732mlq/kLo2f+m6P/Xph8L5TO6/+eYbAgMD2bt3L7t37yY7\nOxuj0cixY8c4efIkcXFxaJpGbGwsycnJ7Nu3jxUrVnDttdfSq1cvNm3apDwxm5ubMRgMqhN17ty5\nXHHFFcriqKCggMbGRoxGIy0tLUybNo3ly5dz4MABQkJCSExMZM+ePaSnpzN8+HBeeuklUlJSyMjI\nYOvWrezfv5/AwECV4nvjjTcYOXIkhw4dokePHmzcuBGTycSsWbO47777AJTkhSQw0qrJW9QVfiIc\nZrMZl8tFUFCQskuKiIiguroa8E3vnTlzxkdOQ/zo/2k0GrniiiuYO3cuFouF1tZW4uLilLBwSkqK\n8v5sbGxU1/YW5vUmdeAhb95RN+9IljdZkuTRO2XqHTlrbW0lODgYq9WKwWCguroah8OBwWBQYrvS\nOxU8pO2qq65i+fLl6jt6w+12q3v4t9w8/PDDDz9+GQysXfuZz5ZfK/X4zTffkJOT4099+nFhIDc3\nl2uvvRbwmNwvXbqU77//nptuugnwdO0lJCQwcuRISktLGTJkCB988AFJSUkcPHiQsLAwvv76a7Zv\n387y5ct58sknycvL86mtMpvNPPXUUxw4cEC98Kuqqrjjjjtwu92sXr0at9uNw+Hglltu4dNPP1Xz\nk2bgJSUlrF27FrfbzeHDh8nPz6exsZHKykpOnjyJ2+3G5XIxduxYhBBs376d/fv3A56ImOyOlcX4\nsvszPDxcdUDm5+crc3X4iewIIXA6nTQ1Nal9Z0tYeHc9ymNiYmLUMQ6Hg7lz5wIoWYzS0lL1uays\nDLfbrVKvEtIhwO12c+TIEbX9fD6a5/PVPDvaJR0RZEQxODgYs9lMVVUVdXV1Pr6d0rAePGTVuxmj\nvLz8HOIoya9er1ep5b+n5eaHH3748XMhhOMfH+QH4CdqvwpWrlyJTqdTpOTvYdKkSezbt+8XX/PY\nsWMsWLCA/Px8Jk6cSEJCAo8//riSu/COktTU1Kic/Q033MCKFStISkpSHZLgie6MGDGCZ555hv37\n96PX6xk3bhwOh4Pm5mYWLFhAaWkpQgi2bNlCYmKiKji//PLLVVTKWx5i1KhRPhGjQ4cOqVouqa02\ncuRIda7FYlHkSHqASnhHkOLj4zGZTFRWVnLq1Cll79Xa2orT6VTfSc7PbrcrDTaJDh06qM8VFRX8\n6U9/UnPw3u5dUyZtrOS9ld2UsvFBwluHzNtz05sYeY97NmHyhne6U94H79+2vr5e+Yl6zw08vqNy\njnLuEt99952qd5OkVdawuVwupeEm7dT88MMPP349eEoz/l2pR/m++19JffqJ2q+A3NxcRo4cSW5u\n7j88dsGCBee8NH8OSkpKlFbb0aNHKS8vp6GhgdTUVLp3787SpUsBj/hra2srffv2BTxaXCtXrqSi\nooK1a9eyevVqhg4dSlVVFffddx+33HILr7zyComJiezevZuAgABqa2spKChQ5MxgMBAXF8e8efOI\njo4mOztbkaIePXqomq+GhgZFfHQ6nU/qTUZ4tmzZor5TW1ubIibR0dGKzFgsFm699VZFwCorKxUh\nlBEtb0IoSZM3eXI6napzE/D5x3X99deronnvcUwmk5LJ0DSN8PBwJckhi/HhJ4FaqekmDdrB13PT\ne2yn03nO9sDAQB/iLO8J+DY5wE+RNpvNRvv27dV2b4eBjz/+WN1zGZ0Ez28hr2m1WlX0zJswete2\n+eGHH378uvD8QfmfFKT9d6/7BW8vIDQ2NrJ582befPNNVfMj8+PXXnut6qSUyMnJoaCgAPC8mB95\n5BEyMjIYNmwYmzZtYtCgQbRv3541a9YAcPToUQYOHEiPHj1UzRbAo48+yt69e/nyyy+ZPXs233zz\nDaNGjWLcuHHs37+fzz//HIvFwqBBg5R91YwZM/jDH/5AXV0d33//vRrr4osvJjU1lZtvvlkZ099/\n//2KOAQFBVFWVkavXr1wuVw0NDTw7bffsm3bNk6fPq0aGXQ6HWVlZYoEyFQkeArn5efW1lZaW1tx\nu92KIMmU3rFjxwCPIbnc5nQ6WbFihYoWBQYGcscdd6h7qmkaCQkJ5/w23tElmd6UZuZStgPg22+/\nZebMmQA8+OCDilza7XYcDoeqn9u2bRtutxu73a46Pc++ntVq9XEJkKlH8CVCkmh5pza9RXvPltk4\nez0gIABN02hpaVE6c5qmqU5X8ERdJeHq16+fInHejQiRkZHnuA8EBwcrDbtrrrkGP/zww49fE//u\ntOcvNkG/wOAnar8Q5yvm5/+xd+bhUZXn+/+c2SeTCdlJyEISAiFhCZtssgpFLEYEVFBRLOJCBbeq\ntdoWsS7ghhSUCqgUERRBEAsqAkFRZDGyr0UJYcsC2ZNJJjPz/v6Y3/syQ4Jfq1Wpnvu6cplz5uwz\nZm7u53nuG79iM3PmTPbv388333zD5s2bgeAv5traWgYNGsTevXtxOp389a9/ZcOGDaxYsYK//vWv\ngL9P6uOPPyYvL4+33nqLu+++G4Dp06dzxRVX8PXXXwdlYk6ePJnIyEjuuOMO6urqlDGuTCc4fPgw\np0+fprCwkKlTpyrVKTY2ljVr1rBp0yYcDoeyfpCpCLm5uXz66afqiz8pKYns7Gx69+6Nw+HAZDJh\nNptZvHixUn9at26Nz+fjiiuuUFOHdrsdIQTR0dEA7Nq1C4fDgRCC0NBQ2rZtqzIyTSaT6i+TyhLA\ns88+y44dO5RyFxoaSkVFRZDZbXh4uFqWgxMej0eZzMpeLAju35o9e3YQuZI4nygBKoYqKSlJrfP5\nfKoBPyoqihtuuCFon1atWtGyZUulFkolTsJgMJCYmBi0rilDXEkUZalSHmvOnDlBVh2y9PnBBx+o\n7WQygtFo5Pjx4+o5REREAP73/LbbbsPn8zWKsdKhQ4eOH4ZztONimtL8by/rU58XEZYsWcJ9990H\n+Jv5ZRlU5mCCXwLNz8+nd+/eQftaLBYuv/xywN/0b7PZMBqNtG/fXqkkbrebSZMmsWvXLoxGo/IW\n+zbH+M8//1z5jg0cOJCzZ89SVVWFpmkMGzaM1atXM3LkSNLS0igqKlLXKVFVVUVeXp6KH5KpCHPm\nzMFms9G5c2d27txJVVUVtbW1DBgwgE8//ZT6+nquuOIKYmNjCQ8PV9eak5PDpk2blB1GSUkJISEh\nhIWF0bNnT9UYX1lZyYEDBxQpCiRMgeHmkyZNUikB8nolJDmrrKxUpNJgMFBcXBzkUyab/r1eL263\nWx07cLIyIiKCzMxMNm/ejNPpDCKLcI68nTp1qtE6gLNnz6oStHxNWoZImEymJqdV7Xa7Ikkmk4nQ\n0FDKy8ubVNzkfkIIxowZo0x4Q0JC1P2YTCZlAyKnVocNG8aqVavUeSTBNpvNWK1WqqurWbp0KXPn\nzkWHDh06/js49w/PH2vqMjDr88c4/ndZ1qc+LxJIpenWW28lNTWVZ599VpXoAmN7pLP8+QjsOwqM\nIwrsIZoxYwbx8fHs3r2bL7/8shFZuBAuROQsFosik1VVVY2uKywsDKPRGEQ+AoPo4+PjWb16Nc88\n8wx9+vShWbNmavggLi6OLVu2cNttt3HvvfeSkZGh+raSk5Pp1asXXq+XjIwMioqK8Hq9pKWlKQVI\n0zTuvvtucnJyMBgM3HrrrUEDD9dffz0hISGqbCpxfri41+sNssOQ6yQ5k9FJgZ5p8nkFDhOUlZUp\nJdTr9TapbAUqc4Dq1wsPDw9afyEYDAY1QCEzVDVNa6TqBYa2g98sV/b6GQwGpYaFhISo52k0GunW\nrRtA0DRsaWmpmtaVz8dutxMeHg6gFEyZj6pDhw4d/y3k5q77uS/hfw46UfsBOD9/s6CggNTUVD79\n9NP/2jkqKytVX9XChQuV+uJ0Oi/ocdW3b1/luL9x40ZiYmJwOp0IIaivr1c9dbI/zOVysX//fgYN\nGsTIkSOJj49n2rRpzJw5k4ceeohVq1Zx+eWX07t3b+U9FhYWxpo1azh79ixDhw4lNjaWzMxM+vXr\nx/r163n66ac5ffo0DoeDzz//nG+++Ybt27cDfqVKCEFUVBR9+vRR0UzJycksXLiQTz75BKvVyqJF\ni1RMk8lkYs2aNYoAB5bkAsPNA3u/AqOTwD+BGRERQUNDQ6OUAIns7Gy1v9VqVQSotrY2iNjJ8qHs\nWZOkWx5X0zTMZrMqCcO5UmkguXO73UG9ex6Ph9DQ0EY+ajLoXcJgMBAdHU1DQwNhYWHqeWiapuxR\nysvLKSwsVPuEhoaq854/nOB2u5UCqmmaInyyRK1Dhw4dPxyGn6T0qGd96lA4P38TYNSoUcyZMyfI\n/uFCOF+haaov6fe//z2jRo1i4cKFDB06VPVlZWdnYzQa6dSpE7fccgudO3dW+zz22GOMHz+e7Oxs\nHA6HsljQNI19+/apnjqj0ciePXuUP9r69eupqKigS5cuDB8+nNmzZ1NQUMC6deuwWq3s27cPh8PB\noUOHmDNnDmlpaZSWlmIwGOjVqxdbt26lpqaG3bt3k5CQQFJSEocOHSIvLw+Px0NSUhL5+fm0a9eO\n/Px8NE1jy5YtOBwOXC4XFotFZVmaTCZGjx7Nm2++icVioW3btlgsFjUlOmXKFKZOnQqcm3Rs3ry5\nMuqVNiCyjwtoFFcV2Msl8znlxKYQArPZzF133cUTTzwB+NVE2eMml+VQglQmpZ9aWVlZk++5nBC1\n2WxERUXh8XiCvM/AP9EbOEghy7KBRLGoqEhds9frJTw8nMLCQlwuV9CgReDQRKCRrRBCJUTIZxBI\nDquqqvD5fOzdu7fJ+9ChQ4eO/xR2e0ij8mAgfknL/83Sp07UfgA2bNjQaN3kyZOZPHly0LpZs2ap\n33Nzc9Xv0scK/MQjEPK19PR0du3apdZPmzYN8Ksz69evD9qnf//+gF+xWrFiRaNrmzJlCldeeSXj\nx49Xx8rNzeXrr79W5bcOHTrQsWNHbr75Zl588UUuv/xyHn/8cQYNGoTBYGD27Nnk5eWxe/dupU5t\n2LCBkpISDh06RGJiIqWlpWRkZKievaKiIoQQ1NXV4XA42LZtm2q637lzJ6+++ipjx47l2LFj2Gw2\nZfkxePBg3nzzTaqqqti3b5+aQK2treX+++/nb3/7Gz6fj3/96190796d2tpaNbSQmJjI0aNHg+4/\nKipKEShN04iPjyc6Oppdu3ap5vyTJ08qMlNdXc2zzz6rnrcsB2uaRlhYmCKFcK50KkvTBoMBp9MZ\nlJUZWGauq6tT06OBMJvNuN1uIiIi1LXabDalqknIUrksA0vlTOactmrVSvXDmc1m5Ycny8GZmZlB\nfn5ym/OJbFMmvDp06NDxfbBmzfs/yXn0rE8dFw2+q9Huiy++iMvlUj11OTk5pKSk8OyzzyqD3AtB\nGuR6PB6GDx/OtGnT+Ne//oXT6WTx4sX069ePoUOH0tDQwKJFizCZTFx22WWcPn2ap556ik8++UQ5\n+icnJ1NTU6NKgDfccAPZ2dnceeedCCFYtGgR/fr1o6SkJIggtGvXjrfffptmzZpRX19PfHy8Usps\nNhtjxozB6/VSU1ND7969G5neSuWspKQEj8dDRkYGNpuNwsJCRebksIJUr84nXjIRQRr1lpeXExYW\n1qh8mpCQoBS+QJIWOMggcX6fnSRL8p4lZEn0/H3lVGx1dbXqJZODFLLHzW63B5Uv5X2dPHkSj8ej\n9pPnDbxGWXrWoUOHjh8KpzPioprK/LGXdcNbHcB3N9qdOXOmCka/+eabqa2tJT8/X/XUdenSRalD\ne/fuZffu3WpfaZDr8XiYNGkSZ8+exePxBCUHrFixgrZt2/Lyyy/jcrmoqalh6dKlTJ8+ncTERDUV\ne9NNN+FwOHjiiSeIjo7m9ddfZ/78+arv7KmnnuKzzz4D4Pnnn1ck4eTJk/z5z38mNjYWk8lEUlIS\nN910E+BXD5csWYLBYMBqtXL27FmEEIqAyeEFk8mkSqFFRUW43W5F7gLLgReyowgkWh6Ph7q6OsrL\ny0lPTw8aGigpKVFDEoFo0aLFtw4XyDxSeY5Ag9oLDYYEDpZ07NgR8BO40NBQTpw4AfhLmIEDAZIc\nNm/eHIPBEBQVBv5hCIlJkyapXjwdOnTo+H4wIoSgsrL0JzOclcRIN7zV8bOiKaNdr9fLAw88QIcO\nHcjOzmb27NnMmjWLU6dOMXDgQB5++GFGjBhBSkqK6ouKiIjghRdeoLa2lu7duzNlyhQ6dOjAqFGj\nuP322+nTp4/qV+rWrRudOnXiiy++4JFHHuGBBx5gw4YNVFZWctVVVyniVlpaStu2bXnkkUeoqKig\nffv2+Hw+Jk2aRHV1NXPmzKFPnz7Y7XY6deqkrsVisajm/EGDBrFjxw7ATzYOHTrEvn37qKurIyoq\ninXr/JNDxcXF9OnTR1lrSK+2kSNHKhNe2YMnhwtqa2vV73ICVEJOqgJBJEWqbOeTpsOHD6tjGY1G\nBg0aBKCIYmAZ9XxVTA4WGAwGVcKUx4+Ojm7SIFdCBq6fn7SgaRqnT59W3m5erzeor04IgdFoVOkO\nRqOR2bNn07JlSwDy8vLUtr/5zW9UD5sOHTp0fD+c+5t5MSleP/byf1NRQ+j4n8SiRYvEHXfcIYQQ\nom/fviIvL0+8/PLL4tprrxVer1cIIURpaakQQoiUlBRx9uxZta9c/vLLL0WHDh1EbW2tqK6uFu3a\ntRM7duwQR48eFSaTSezatUsIIcR1110nbDabEEKIGTNmiN/+9rdCCCFyc3NFcnKyWLJkiaiurhYh\nISHC4XCIhx9+WOTk5Ig33nhDHDlyREyYMEEYjUYREREhDAaDMBqN4rrrrhNr164VmqaJESNGiKio\nKOF0OsWjjz4qLBaLMJlMonnz5sLpdAqTySSmTJkiOnbsKGw2mwBEhw4dhKZpIjk5WeTl5YnmzZsL\nQDgcDmE2m4XNZhNGo1Hg/yuhXgNEeHi46N+/v/pdbqtpmrDb7UHbm81mAQir1SoiIyODjgeIhIQE\noWmaAITBYBAWi0VtL38HhMlkarSvpmnCarUGrQsJCVH/jYiIUNs1tW9T6w0Ggzr/+fctnx0gIiMj\n1fOxWq3qvIE/TqdTnP8n4vxt9B/9R//Rf779x6j+fuTm5orc3NxfxXJubq4YN26cGDdunJgyZYqA\n70+3dEXtfxRLlizh2muvBfxGu4sXL2b9+vXccccdqm9KWks0BSEEn332GSNHjlR5jyNHjmTTpk1o\nmkZqaqoqp3Xt2lUpPREREXTv3h3wlwCLi4vJycnB4XCQnp5OfX09v/vd79i8eTMDBw5kwIABvPba\na3i9XiorK/nwww/xer189dVXjBs3DovFwocffkhVVRVVVVVMmzZN2VVUVlbym9/8Bo/Hw7vvvhtk\na3HmzBmEELz33ntERkYqVa6urg6TyURqaqryTpOQPmHl5eV8/vnnaJpGeXl5kJoVWOKMjo4OCok/\n31gX/GXZsLAwzGYzRqNRXXt9fX3QlGZgWTOw1FpfX6+Uu549e6reNJ/Pp9SswH47GaBuMBhUXFRg\nn5wsbcrrsFgsSpkLzD6tqqoiPj4eTdOor69XE6HyXIHZrDp06NCh4+eDTtT+B9GU0e4777yjGuG/\nK87fXhIVoJFh75/+9KdG+7tcLpWkoGkae/bswePxcN111+FyuRg1ahR/+ctfmDhxIiaTiREjRmC3\n27HZbAwYMICwsDBCQkKorq4mJyeHdu3asW3bNlJSUli+fDmDBg1SE7Rr165V/WyBUV2yl0uSCiEE\nOTk5yntOEjtp/XH+vctcTvkchg8frn7v2rUrqampgN+3ThLUZs2aBWVqVlVVKdf/wH6wwMzPlJQU\nRZzbt28fVNaUVhwlJSXqfgLtMkJDQ1V/nSR1qampqtScnJzc6D0L7KeLj48HYNiwYYrUeTweTpw4\nEWSOK84r7TYVpaVDhw4d3x0GZsx4Ti39VKVH3UdNx8+OwEgniQEDBtCxY0deeeUVBg4ciNFopKys\njIiICJxOJ5WVlUqNAf8Xed++fbnlllt4+OGH8fl8rFy5kkWLFjUie1VVVSxbtow33nhDqVQ33HAD\nS5Ys4dVXX2X06NFYrVbi4uI4efIk119/PU8//TRHjhyhZ8+evP/++3g8Hm6//XaKi4tpaGhg8eLF\n1NbW0qNHD8LCwpgxYwbr1q1jwoQJFBcXM378eJo1a8bw4cMBv29cnz59KC8vx2q1kpmZCcCtt95K\nSEiI6kHz+XwsX75cXbu0nNA0jdjYWIqKioiLiyMyMpL9+/erni2LxYLL5VL9fgCbNm1SgeVpaWl8\n/vnngF8tCyQxnTt3Vl5xsg9N0zSeeuopJk2aBPjJtdPppLS0lNraWtWb1rx5c+rr6xFC8M033wQp\nl9LTzeVyKcVLDgmUlJQAfuVLDoLI4YJAZczn8ymbjk2bNqnjyBzWY8eO4fV6GyVeSJIo0xyaMgfW\noUOHjm+H9qvxTTt/WY+Q+pUjMNJJYtSoUZw+fZrk5GQ6duxIp06d1DTo7bffztChQ1Wju0Tnzp25\n5ZZb6N69Oz179uS2224LcuYHv9L0+uuvk5aWxpEjR3jssccYPHgwBQUFfPTRRwwbNgzwK1bHjh1j\nyJAhvPfee4A/67JPnz7KpuLyyy/nmmuuwev1Kk+vPXv24PV6mTBhAmazmR07duByuaiqqiI/P1+V\n8MrLy1mxYgVGoxG73U5CQoLKwzxz5gw+n08RUYfDoQYEwsLCcDqdhIeHK3LVo0cP5VPn8XiwWCzK\ndsNgMCjVqrS0VBGnY8eOqeeWlJQUZIdRUFCg7EZatmxJVFQUmqYFqZCBgfC1tbXcdNNN+Hw+zpw5\no8q2gQMD8fHxxMbGAufUQofDoV5v1aoVcM6mQ6YgyPcscEBC7h9owlxSUoLb7Q6KjQo8d6Btx7Jl\ny9ChQ4eO/xze/3uTHwG6j5qOnx0bNmxgyJAhQesmT57Myy+/zPPPP8++ffvYuXMnv//97wG/zcLB\ngweVQe7Ro0cVqbnvvvvYs2cPe/bs4e677wb87F9adOTm5pKSkqJyIcFv7TBo0CDGjx9Pr1696Nix\no/qif+ihhzCbzaocN27cOJUSkJmZyaJFixgwYAA9evSgTZs2mM1m6urq+OKLL3j66adVvmRycrJS\ncZKTk2ndujWappGZmYmmaUqZk7YSZrOZ8PBwNE2jqqpKkcOysjIqKyspKipShOX999+nsrISk8mE\n0+nE4/GoSVBJIuGcMmUwGLjkkkvU/Xu9XhWULoRQliCLFy/m2LFjVFRUqNKqJF8ul0ulR5w+fZpX\nX30V8BMheZ8mk0ndz+7du5WaJyFfA4LC3SMjI2loaAgKdw/0cJPlX9nzFhYWRkVFBR07dlT3KhU+\n8KcZSNuONm3acN1116FDhw4d/zl+msioi3FZL33q+Mmwd+9eunbt2mj98uXL2bVrF7t376akpIS4\nuDjljr97927mz5/P6NGjeeedd/B6vQwePJhhw4axYsUKHA4H+/bto76+XvVVDRw4kBtvvBGj0cjA\ngQM5cuQIcK5PKjU1lf3793PLLbfw4IMP4vP5iImJCYpfWr9+PWlpaYoYyvLdAw88wOLFi1WcUkZG\nhnLll/1lUVFRlJeXK7ITFRVFSEgIx48fRwjBiRMnlOpWVFREbW2tImGhoaFUV1crYub1epUh77x5\n85gwYQI+n4+DBw8qhS4yMhJN0zh79qwiiy1atFB5myaTiaysrKBUiqqqKkUAExISFBmTap/FYmlU\nwrTZbBgMBjwej7IMqampwefzcfjwYSwWi1oOREhICLW1tdxwww3f6XOiQ4cOHefj54qM2rhxIwMG\nDNBLnzp+HWjKmV7TND7//HNuuOEG1ftlNBrZvn07mqZxySWXKPUoLCyMO+64gzZt2hASEsLevXs5\nceIElZWVpKamkpCQAPiJS79+/fD5fMyePZuDBw8SHR2N3W5nx44dREVFAX5CFxMTQ3x8PC+88IKK\nzerRo0dQLqXc3mq1UlZWFtR3F0hKHn74YUWYAnH27Nkg/zEZgyWEwO12Y7FYaNGiBYCKgkpJSUHT\nNFq2bInBYCA2NpbbbrtNPUObzaaeX1lZmSKZQghSUlJUmRf8REkSK1nGDMzwbNWqFZqmkZCQoCZb\n6+vrSU9PVyXQuLg4Vc7t3LmzUtT69OmD1Wrl8OHDlJeXq+QCSZoNBgNms1m9zzp06NDxffBTRUb9\n0vGrJmr/aQSTxLBhw4JyOv8TLFiwQIWJS9x7770kJiZ+68RmYM/R90FT93r+fTW1btGiRSoIHfyl\nzL/+9a8Aja537969Kov0zjvvZPDgwRw7downn3ySN998k7///e8UFBRw4MAB3G43Xbp04emnnwZg\n69at2Gw2fD5fk882KSkJTdN4/fXXAb/VxsSJE9myZQvgtyiR5VmDwcDHH38M+EnUO++8o+w8YmJi\n2Lx5M3COhBoMBtLT01V/HviJntVqVdvI5v20tDQ1tCCvU5ZUjx49itfrDZouDYyZkiTK6XSqUqNM\nB8jJyQkiavX19YpYVVdXAzBnzhz1zFetWoXdbldRUBJHjhxR1yOHDKqrq/nyyy/VNnl5eaocKoRQ\n+0s1zufzUVFREfSaDh06dHx3mBFC/GylR9mj9kspfV6QqH322WfqC+KNN97g/vvvD2qo/iXgP41g\nkli9ejVhYWHf65xN5T2uWrWKrKysb5VGf2jmYlP3ev59NbVu69ateDwe5s2bB/j7s3bv3k14eDhv\nv/02Pp9PZWjOmzePzz77jK1btzJ06FDGjBkD+Puc2rdvT3FxMV26dOHUqVNERVbgbuMAACAASURB\nVEWxYsUKFi5cSFZWFvv376dnz55ERUXx/vv+f4W1b99ekcZbb70Vq9XK22+/jdFopL6+Psjt/9ln\nn2X16tXqunfs2KGGAkJCQpSaVVFRwdKlS1UZUwhBs2bNqKqqYvny5YpU3XvvvTQ0NGA2m4mIiAjy\nTZO2Hm63m5iYmEbvkcFgIDQ0lPz8fCoqKtS+O3bsUNmcXq9XTef6fD5efvllFcIO/s+FLMO2adMG\nTdO47LLLgt4rOVwQSOJtNhtXX3014CdhsnTs9XqVYlZVVUVaWho9evQgNTVV+cMZDAaSkpJITU1V\nn+9AGxEdOnTo+G7w/4Py54xw+rmXf5IIqYkTJ+JwONi1axcvvPACrVq14uabb/5BJ7uY8H0imOTU\nZGAE0wsvvECHDh3o0KEDM2fOBCA/P5/MzExuv/122rdvz+WXX35BT6qNGzeSnZ3N+PHjg0jU0aNH\nVaP+n//8Z7V+zJgxrFmzRi3fcsstvPvuu/h8Ph588EG6d+9OdnY2c+fOVcfv27cv//rXv9i/fz8z\nZswA/MpZQUEBCQkJOJ1OZs+ejdVqVffaoUMHfve735GSkkJcXBzTp0/HbDZjtVrp3bs3//znP9m5\ncyehoaEkJiYyaNAghBBYrVb69u3L/fffr+wlHnnkEU6ePMnQoUOJiIjg/fffp3v37thsNpYvX05h\nYSETJ05k+PDhVFZWsmrVKjIyMti0aRMmk4mEhATat2/PHXfcwZkzZzh58iQFBQUkJSXxhz/8QTXo\nnzp1SvWGPfLII8p77MyZM/To0QPwl1jvv/9+5Um2cOFCGhoaCA8Pp1OnTqos+sQTT6BpGk6nM0gB\nla+XlpaSnJyssj3lewGNQ9SlwiXD4uUx1q1bp4YA2rRpo45jMpmYPn262r+yshIhBIWFhWqgoG3b\ntuozKImW0Wikrq5OTd1CsBmuHCDRNI1Ro0Zx9OhRpQLK6zp+/DhHjx5VaqEsv+rQoUPHd4UQP69Z\n9g+ObLrIcEGiZjKZ0DSNlStXctddd3HXXXcFObP/r+O9995j6NChJCcnKwPVuXPnUlBQwK5du9i1\naxc33ngjkydPpkWLFmzcuFFNTUrlJC8vjwULFrBt2za2bNnCvHnzlOx55MgRJk2axN69ewkPDw/y\n9grEkiVLGD16NDk5OaxZs0Z9Wd9zzz3cdddd7N69W/VCgZ+oLV26FPCX9TZs2MCwYcOYP38+4eHh\nbNu2jW3btjFv3jzy8/PVdY4aNYp///vfym7DarVis9k4ceIEVVVV3HjjjarvauPGjTz22GPqXu12\nOy1atCAzM5Oqqiq6deuG0Wjkww8/ZPHixTQ0NPDCCy/w+uuv43Q6uf766wG/GtevXz/GjRtHUVER\ngwYNUuXJgwcPcvjwYSorK2loaOCaa65h165dOBwOtm3bxpw5c2hoaCA7O5uqqiqSk5P5+9//TkpK\nCv/4xz/w+XzcdNNN3H///YC/rCgVvLi4OH73u99hMBiIjo7m1VdfVfYVq1evVnmeycnJ1NTUUFtb\nS0pKCtnZ2YrYyGSBs2fPcvfddysvsffff195uB0+fDjovTx+/LjqFzObzUEkSap3Pp9PmeWGhISo\nPrO8vDxF4Dwej7ovQA1peL1eVR49cuSIKoNqmqZC3eW5JO666y71u+zbE0LwzDPPUFlZqUx55bXK\nJINu3bqpZ6lDhw4d3x3n/u5dTFOYP/XyTzL16XQ6eeqpp1i0aBGbNm3C6/X+oiJllixZwn333Qec\ni2DKz89n4sSJ3yuCCVARTFdddVWjCCZJmgLhdrv54IMPePHFF3E4HPTo0YMPP/yQYcOGsXnzZlas\nWAHA2LFj+eMf/wjA0KFDueeee9S+/fv3x2q1snbtWvbs2aM8ryorKzly5AhmsxmHw8G4cePQNI3E\nxETGjx/PkCFDVK9U4L0WFhYGffAkkpOTueyyy/B6vWzbto2wsDCuvPJKmjVrhtlspmPHjmzcuJGo\nqCh1r1u2bGHUqFG89957REdH89lnn3HTTTcBMGjQIEUSNE2jZ8+egF99stlsLFu2jPDwcEaNGoXJ\nZCI9PZ0DBw4wYsQIfvOb3+D1egkJCeG1115DCMGhQ4dU/13Lli1JSEigpqYGs9nMc889R1ZWFmFh\nYVRWVrJ79240TaO6upqEhASKi4vZunUrdXV1anLT4XBQXV2NxWIhOTmZr7/+mtTUVGbNmsWhQ4dU\nw73D4VDDCvX19Wr9gAEDlLIVHh4eZJche89MJhNCCIqLixFCBEU8ySEAt9uNzWajVatW7N+/P+jz\nZzAYaNmyJf379+eNN95Qr5nNZqXoBQ4DSMIne+Nqa2uV0hsYU+V2u1U4u07UdOjQ8Z/hXJvOzzV1\nKUuNv5SpzwsStbfffpslS5bw2muvERcXR0FBAQ8++OD3PtHFBBnBtHfvXmWnoGka3bt3/9EimM5v\n2gf46KOPKC8vp3379oDfCNVmsykT2aYg45c++ugjli5dqtQrgNmzZ/Ob3/wmaPtVq1ZRVlbGrbfe\nqpztzWazcrg//37kf8+/XqvVqhSh8PBwbr31Vpo3b05OTg5XXnll0DE8Hg979uyhqKiIhQsX8tpr\nr+HxePjggw+CjhcIj8dDdXU1NTU1mEwm1RO3efNmHnjgAZVB2rJlSxYuXAjArFmzVIkuMTGR999/\nn6uvvprrrruORx99FK/XS/v27Vm6dCnp6enU1NTw3HPPKVVr6tSpjB8/Hk3TCA8Px+VyUVJSgs/n\nU316HTp0oE+fPsycOZOvv/46yL+svr4+yA5j06ZNyhZEqq/gN+uVZVifz6eUs8rKSjRNw2az4fF4\n1GfJ6XQG9d/V1dWpFAUJeZyCggKOHDmC1+tV6QyBZdfA91H2m8lc08DjWSwWwsLCguxOADWsoUOH\nDh3fBbm5637uS/jF4YKlz/j4eEaOHKm+iKKjo1WT8v86ZARTfn4+R48epaCgQClgr7zyilI2ZHO3\njGAKhIxgWrlyJS6Xi5qaGlauXEnfvn2/M9mTEUyyV+jo0aN8/PHHuFwuLr30Ut566y0A3nzzzaD9\nRo8ezWuvvcamTZsYOnQo4Hf9f/nll9WX9OHDh6mtreWTTz4hMTGR/Px89uzZo8xki4uLcblcnD59\nmjFjxpCRkRFEIF544QU1KSjVp5deegmz2UxISAjPPPMMs2fP5k9/+pNSZa644gpOnjzJnDlzGDp0\nKFdccQWjRo3CYrEQGxvL8ePHmTt3LtOmTaO4uJgVK1Zw4MABampq+Pjjjxk1ahTgJw0yKH7dunW8\n/PLLSqm68cYbVS/Ytddeq2wq3G43ixcvpr6+nn/84x+qBPnJJ5+QnZ2tgsc//vhjTCYTNTU1jB8/\nHqvVqnJAS0tL8fl8NG/eXD2LvLw81XsYmN1psViwWCwYjcagwRKpUEo1TuJ84h64vcvlCvrMVFdX\nN2riz8jIUEkFgecxGAxK/ZKfWzk4AbBv3z71+x/+8AfAP3wgt5V9a3V1dWp4CM5N9J7vr6ZDhw4d\nF4LFYr8oSo+/mqzPuXPnMm/ePEpLS/n66685ceIEEydODFIK/lfx1ltv8fDDDwetGzVqFAcOHFAR\nTGazmdtvv53f//73KoIpISEh6P4DI5gAFcGUn5/faErz/GWXy8VHH32kmv7B37PUp08f/vWvfzFz\n5kxuuOEGpk+fzvDhw4P2HzJkCDfddBNXX321+kKfMGEC+fn5dOnSBSEEsbGxrFixgtzcXFW+eu+9\n90hOTqZz586sX7+e1NRUsrOz0TSNmTNnUldXxx/+8AdGjx5NVFQUVVVVqq/p3//+NzfeeCPZ2dkU\nFhaSlpaG1WoNmrSsq6sjNDSUsWPHMmPGDOrr60lKSuKqq64iJyeHZcuWMW3aNE6ePMnp06eJjIyk\nW7dumM1mDh8+rMp0I0aMID09nSeffJKYmBhqamoYOnQoixcvZuzYsYpAh4eHq5zMoqIipZYNHjyY\nr7/+GrPZTENDA4WFhWpK0+12ExkZicvloq6uLmjCVT7L3//+90ydOhWfz0d8fDynT59WzfZGo5GQ\nkBCio6OprKyktLRU7SfLlRJut1uty8zMVEHyaWlpytg2sNwZGNsVSNyMRiP//ve/g5IHJIHyer3E\nxcWp/jipTEoEHmf+/PnqfZLHkQqaVOjkM5OpDHIgRIcOHTq+HSY++mhN0JqLKXvzp17+SUqfL730\nEtu2bVO9Q23atPnF/NHesGFDo3WTJ09Wvz///PNBr02aNEmFa0PwJNx9992net0kAiOY4JySEQi7\n3d7IZBUIGjqQfl8Af/vb39TvJpOp0b6apvHkk0/y5JNPBq2X5AD8Ct7MmTMZNGgQs2bN4tixYyQk\nJHDPPfeomv6bb77JvHnz6NKlC5dffjmPP/446enpXHLJJcycOZPWrVvz9NNPK9UmPj5eudebzWYu\nvfRS/vrXv9K2bVteeukldW4ZsQR+09qNGzdSXV2N3W4nLi6Of/7zn6SlpQGwdOlSRS6Li4vxer0s\nW7YMq9VKXl4eBw8eVAa5Dz74IGFhYUpBS09Pp6ysTJX3nE4nVVVVQa7+paWlQQpXYFkS4LHHHlME\nR6YZCCGora1V9houl0uply1btqSyshKPxxNEpuTzKSkpITk5Wb0XkqS1bNlSWd5Imw6j0RgU7i7P\n3VSJ3WKx0NDQoK5R9vcFThg3a9ZM9cfJ83o8HmVoK0lmaGgoFRUV6hlIz7nva0OjQ4eOXxeEaLho\npi1/aVmfFyRqVqs16MtMWgvo+N/EhfrypALXFOSEadu2bRk5cqRaP27cOJ566qlG2weW6wIjnCBY\nUTSZTNjtdvbt20d5eTngN8g1mUx4vV569uzJiy++SJ8+fdR15ufn07dvX1q1aqWCxKurq1XwuRx0\nkZOt4P8My0nlqKgofD4fZWVlGAwGGhoaMJlMKmtThrMH9njJGKWmILexWq3s27cPIQQmk6mRQayM\nngo0Gk5MTFTpDJIkyvxQ+cwCj9WjRw+++OKLoOPKhAQgyNbD7XYrVQwI6qGz2+1qkEG+7vP5sFgs\nQSQN/B5tlZWVv5h/nOnQoePHhP8fyrLsF2g4+2tdlqVPoMlhwv8EFyRq/fv358knn6S2tpaPP/6Y\nl19+mZycnB90Mh1+/ByE989//jO1tbV89NFHZGRkAP4PU5cuXVi8eDFTp05l4sSJQUrgiBEjeOKJ\nJ2jZsiXPPPMM4J/WHD58OPfdd5/K2qyurlYh7IH3dvbsWc6cOdOoxy8lJYVNmzbx29/+VimAGzdu\nJDMzk71793LNNdcwaNAgMjIyOHz4sIpnMhqNHD16lA4dOiCE4Nprr23Uy9WrVy8OHDhAWVkZ9fX1\nqoQ3ePBg3nnnHeBcOVASoaSkJEpKSqiurg7KLK2rq1Mq3PklwejoaEpKSmhoaAgiOJKgBpYnhRAq\nuzQ8PJy0tDROnDhBWVmZOp4QQilksgQpry+wzyyQAMvJT3k/UhUMfA9CQkKUwhY4tZ2cnEx5ebmy\nRwE/6ZTETtO0RrmhOnTo0NEUnE6/6fbFUnr81WR9Tp8+nZiYGDp06MArr7zCb3/7W5544onvfSId\nfgRGMP2UWL58OT169Agy1ZWmp9XV1Wzfvp25c+cq/yzwk4qsrCwKCgrU+szMTJ544gmGDBlCdnY2\nQ4YMUcTGZDLx2muvAf4EgOPHj/POO++wdu1aJk+eTPv27Tl69CgPPPAADQ0NvPvuu2zduhWfz4fH\n46GgoAAhBM899xxCCLKzs/H5fNhsNmw2Gw6HAyEEa9euxWazkZqaqgjisGHDVO6oVOnsdrsiLxs2\nbFDN+JIYSYJz6tQp1dcl70VCEkFJmiRRkpFSRqMRo9Go7E0kiYqMjCQqKkoNFMgBgurqajZt2qSO\nL6c+wT/125QSFkhyw8LCsNvtaJpGSkqKImYGg0EpawaDQVnGdOrUSfXNNWvWTKnkBQUFSm1MTk5W\naQ8SMmRehw4dOr4NJpOFykp/r+vF5GP2cy//6MMEHo+H9u3bc/DgQW6//fYfdAIdPw1WrlzJyJEj\nOXDggFLMJKqrq6moqOAvf/kLDzzwAI899hgul4vPP/+c3bt307ZtWzp06MAzzzzDl19+yVtvvUWX\nLl0AP5mTU4WLFi1i1qxZuN1uevToweWXX07btm255JJLuPfee0lLS6NXr16sXLmSCRMmYDAYqK+v\np7KykhtuuIG8vDxKS0vp2rUrdrsdl8tFdHQ0kZGRVFRUkJaWxo4dO4iIiODUqVP885//VCQjMTGR\nM2fOoGka48aNw+PxUFFRoWKiNm7cSEZGBqmpqYpgyLKl0WikpqamkWeYRCBBSU1NVT2IiYmJFBQU\nAOdUOK/Xq3zIPB4PCQkJHDt2jLKyMmWPAf7JS6vVqkij2WxWiQUWiwW3201oaChhYWGK9IG/5FhT\nU3PBaUt5PPBPoUrSmZaWpqxDGhoaFLGURBggNjZWnUtOsNbU1CiCDJCQkMDJkycxGAyqRK5Dhw4d\nTcPIxx9/pJYuFkXtl+aj1qSiZjKZyMjI+MVle/6S8W25pe+99x5RUVHEx8erFIY5c+YQGhrK/v37\nmTp1Knl5eSpaSBrtgj/nVU7DTpo0iaioKJYuXYrBYOCFF15g//791NbW0qtXL3bu3Em/fv1UfNPN\nN9/MW2+9xbFjxzh27Bjl5eXMmDGDDh06KEuTK6+8ki+++ELZWWiaRkhIiBpikb5su3btYsiQIRgM\nBk6cOIHH46G8vFwRpMjISAoKCpg9e7YiYlJVkjmXgSVDoFGjfNu2bZVdBZwzpoVzapRU1CQROnHi\nhFLdZD+dXH/y5ElFdFwul3pN7itLxoG2H/Ic8fHxal1WVlaTmZsHDx5Upc+TJ0+qe5Y5phBsr3Hw\n4EH1THv37k19fT1Op5Po6GhCQ0PRNE0d5/x9dejQoUPHz4MLlj5LS0tp164dl112GTk5OeTk5HDV\nVVf9lNem4zuiqdxSl8vFmDFjyMrK4oEHHiAsLAwhBC1atODOO+9k06ZNjB07lgULFjB37lw6duzI\nmjVrGDZsGEVFRYwYMYLi4mI+//xzPvvsM7KysqipqSE3N5ehQ4eyevVq8vLylAlyZmYmAwYMICIi\nggMHDmAwGFi2bBlCCFavXo0Qgvz8fFatWsWkSZMQQlBSUsK0adNo164dPp9PNa5v375dkQqv14vP\n56Ndu3Zs3boVh8OhVDS3201VVRV2u1017Z9vQgx+RU2WFE0mE7GxscTFxTUaFDhy5AgDBgxQKp40\npAU/qXM4HI3Ii8fjISQkBKPRqM4t95evyfuQ6wMHdbZs2YLValXnkV5ugcTs5ptvVsQrUA2U/Wwy\nTUC+7/LcgLKOgXP+apqmUVhYiNvtprKyUvXnyYEIOGeKq0OHDh0XgsViUWk4cPGUHn81PmqBdhA6\nfjp8WwkT/JLu888/T9euXdW6pnJLN27cSGhoKJ999hmJiYkUFhZy1VVXoWkaRUVFJCQkIIRg6dKl\n9O/fn4qKCtauXcvmzZtZuHAhM2fOZNy4ccTExHDy5ElSU1N58MEH8Xq9hIWFUV5ezvz585ValZaW\nRkVFBa+88goVFRV4PB7q6+v59NNPeemll5SyZDabmT59uiI0LVq0ID8/n/j4eF588UVGjBiB1+ul\nRYsWVFVV4Xa7iY+P55577uHBBx/E4/EE/Y+RkJDAmTNnFAnq0qULW7ZsQdM0Rc68Xq/qQZMl08C4\nqMBm/AULFigyFuiJVlxcrMiQtNKQAwY1NTXq/iwWCy1btuTf//530ECAwWDAarVSW1vbKPXBYrEE\n5XaazWbGjh3L008/DfjJnDy3vGZp43F+9FRsbCxlZWXqtR07dqjXpEJoNpu58847mThxYiMyFrgs\nc1516NChozH8vmmBf48vltLnxbD8kwwTDBgwoMmfXztWrlyJwWAIslsIxIABA1RP1/dBUyXM9957\njwMHDgAo1ej8fa699lrgXG6pVMyWLVvGuHHj6NKlC++//z4nTpzA6XSybt06Xn/9dQ4ePMimTZv4\n+uuv+fzzz3E6nUyePJl9+/axZcsWqqqqsFgs3H333SxbtozWrVuTm5vL0qVL6dixI1OmTKGuro6P\nPvL3KRQWFqoPa0NDA++//z4RERF07doVTdPo378/BQUFQaqT7KGTcU7g7xtzu91YLBYSEhJ49dVX\n8Xq9REdHk5CQQIsWLQgPD6eyspKkpCSEENTU1LB9+3bAr1qdb5Uhn58MSIdgYpKTkxPUuJ+QkEDz\n5s3V9ZhMJtVXBn51zuFwcPPNN6vt3G636muTmaFSbQsc1JD7A0GeeBEREcTHx7N8+XL1Xq9duxY4\nRxxlqVciPDxcbVtSUoLZbEYIERRdZjQaadGihXo2gWHtgc9Gkr527dpht9uDPNl06NCh4xz8f1/P\nJysXA35pXOWCRG358uW0bt2asLAwnE4nTqdTN7/k23vBoGki9V1xoRLmvffey5AhQxg5cqSKG3rl\nlVd46KGHlD/a6NGjCQsL49lnn2XBggVs3LiRCRMmMHXqVIYPHw7ApZdeyp///GdFavbu3cvZs2dZ\ns2YNBoOB8PBw9u7dS/v27cnIyFBN8263m8zMTAYPHszdd9/Nhg0bKC4uJiQkhEWLFgFw6623UlVV\nRWJiIikpKeqeiouLKSsrw+12o2ka69atU+VMn8+nlK66ujqqqqqUEav0nfF4PBw7dozw8HCEEJSV\nlVFaWkpZWRl2u52qqioOHz6sFDo5BXohawmj0cj48ePV72FhYYowrVq1Kqi0efr0aVwuFxaLBZPJ\nREhICNXV1SqE3e12U11dzeuvv67KtpGRkWrS0+Vy4XK58Pl8eL1e9uzZE3QtkkgG2mZUVVUhhOD4\n8eNqMrW+vp7Q0FBFKhMTE4P8zaQXnNy+trZWTYHKfWw2G6dOnQLODVkYDIag0PW2bduq3w8ePEht\nbS2JiYlNPkcdOnT8uuF0Rlw0pc6Lcfm/Wfq8IFF76KGHWLVqFZWVlcrZ/fy8y18b/q9esKaIlMSC\nBQtU+sGiRYvo0aMHnTt35s4771TkQE5AXnXVVZw8eZJ169bxxz/+kdOnT2M2mzlw4AB5eXncfvvt\npKens2LFChYsWIDRaKR79+5MnjyZVq1aUVlZidPpxOv1UlJSQk5ODl999RV1dXX06tVLTTVWVFQQ\nHx+Pw+HghRdeICoqCqfTid1uZ9asWUotE0LQvn17Pv30U+x2OxkZGXTt2pXDhw/TunVrmjdvzg03\n3MDRo0epra1VUVCAKgvu3buXkJAQQkP9fjuaptG6dWsqKyuVC35WVpYiG61atQL8ilfnzp1V+oHP\n5yM0NFTllBqNRqVU+Xw+RfCEECr+SipaQFA4vMFgoLa2Fo/Hg9FoVIa78vpkmVQeW/asyXuQ+wWq\ncoHeaK1btyYpKUm9JkmhJKNNwel0YrPZgsqjsnTbrFkzAI4dOxbUqxeYiNClSxdl7huImpoaRSBl\n2dbn81FaWqquRSqBgOq769ixY5CdiA4dOnSAicrK0iZLf+eX/36OZUmMfs7rkaXPPn36/GCF74JE\nLS4ujszMzB908F8amuoF+67Tk0uXLuX666/nwIEDLF26lM2bN7Njxw4MBoMKXa+vr2fUqFHs3LmT\n7t2789hjj3H8+HEGDhzIc889x4EDB+jYsSOaphEREUFaWhoLFy7EZrNx8OBBWrduzc6dO7Hb7Zw6\ndYoTJ04ghKB169a0a9cOgMsuu4zw8HDMZjNnzpzhmWeeITIyksTEROWPtn37du666y6Sk5MVYZBE\nq1mzZtjtdvLz86mrq2PBggUUFRWxePFiDAaDIpUSBoNB5V3W19cTGRmp/M3OnDmjEi9KSko4fvw4\n9fX1WCwWpbQJIVi3bh2PP/444CdQtbW1mEwm5WH25JNPKrKUmpqKwWAIOobP5wvqtfrwww+BYBuL\nrKwsVZ6V5w0kQrK5XgjRpPGzfL5CCEU+q6qq1PMzm820aNFCkbhAohY49RkZGck333wTdGw5CSut\nOaxWKzU1NSpLVF4n+CPDZCk10FsNUH1ugYMCspcNgpMlqqqq8Hq9bNq0iVWrVjW6Xx06dPya0bit\nRMePhwsStW7dujF69GiWLFnC8uXLWb58Oe++++5PeW0XHb6tFwygQ4cOdOzYEfCrY2lpaWzdupWz\nZ89y8OBBevfuzfr168nLy6Nbt2507tyZDRs2cPToURWOPW/ePFJTU9m5cye7du0CGmc9SowZM4be\nvXvj8/lUxFPbtm258sorufTSS8nOziY9PZ3Tp0+rnMe4uDgGDx6M1+tl5MiRXHfddYA/s/Sll16i\nZcuW+Hw+LrnkEr755hul/qSkpHDo0CFKS0uJjY2ltLSU06dPExcXR1ZWFnPmzCEpKYnmzZsrNad1\n69b4fD6aN29OcnIyDQ0N3H///XTo0AFAqVVGoxGbzUZCQgLgJxKdO3dWhG/AgAFK+bHZbFRWVuLz\n+ejZsyeapqnhAYBvvvmGkSNHctlll6m+MQgOIpcecXKSEvwq1datW4Oa+mU+qCRKEuvXr2/0XhQV\nFQUtyxzN06dPq4b/nTt30tDQgNvtxufz0bJlSwAVMi/3CxxAkO9/oFVIIIEEv7daYNybRKDa16ZN\nm6Aet8DhBImampqgZyKv4dlnn210bB06dPx64XT6Db4Dy35y+WIoPQZGOv0SSp8XnPqsqKjAbrer\nRmaJwMzHXxN+7KzMuXPnYjKZVOlu2bJlTJ48mS5duvDGG2+gaRp79+5l9+7ddOnSBZ/Px4gRI5g6\ndSo1NTWMGTOGvXv3kpaWxscff8zIkSP58ssvMRqN/PGPf+Thhx8mJCSEhoYG7rzzThUVZTQaKS8v\n584772Tu3LkcPHiQRx55hOXLl2OxWJSJq8vlwuFw4HK5+Mtf/sL8+fMpKipiy5YtKkzdYDDQu3dv\nPvnkEzRNY9KkSdx3331UV1erqcfS0lJ1j2fPniUzM5OOHTuybNkyZeBqqjCkPQAAIABJREFUMBjY\ntGkTI0aMYOnSpYwdO5aePXvyxBNP0L9/f44cOULbtm1ZvXo14LfVCJzeXL58Oa1atVJ9atu3b6d/\n//7U1NRgMBhISkqioqICg8FA69atOXLkCFVVVURERCjCLMmxVAMjIyMJCQnhzJkzzJo1i9GjRwMQ\nExNDSUkJJSUl6vlIxerMmTNERUVRXFysbDQCIX0KZZJAdXV1UPnRYrFQV1eHwWAgNTWV48eP43a7\nlaIow9Xdbjc2m436+noiIiIU8ZMDFUIIRdTl+ylJXO/evTlx4oTypgsMcdc0jbS0NF577TXV16dD\nh45fO4wqieBimrK82Jb/m1OfFyRqCxYs+N4H/SVi2bJl3HzzzcyZM0etC8zKHDhwoCJSEv9JVuZb\nb73VyNS0ZcuWqp9s8uTJ9OzZk27duhEXF8eXX35Jt27dCA0N5eTJk3Tr1o29e/eyePFiIiIimD9/\nviIuAwcOBPzko1evXsTExFBWVsb69etxuVwMHDiQZ555BqfTyYYNG9i+fTtVVVXMnz8fs9mM0+nE\n7Xbj8XhwuVxMmjSJ/Px86uvrlQXHgQMHcLvdfPHFF5SWliKE4KGHHlK9XbK/8dFHH6V58+bExMSw\nePFiSktL2bx5M+np6aqnzO1243a7WblyJQDz589n27ZtgF8Zc7vdbNu2DZ/Ph8Fg4OjRo0HlO4/H\nw5EjR1S5c+zYsaoEeT4Zy8nJYdasWXg8HrW+KUifNkB5x0Fw5JQskUp0796dTz/9VC1LFQtQ1h1C\nCBoaGtRAgdzGbDYHeZrV1taq1yR5k7/DOXUyUJ2rrq5WxFfeb2Ap1OfzqdBgicA+VEnw9MlPHTp0\nnENwWkmggnWxQGZ9/lJwwdLnoUOHGDRokOq92b1796866/Ott95ixIgRQesCszKzsrKYMmXK987K\n3LBhQ1Bvl6ZpZGVlKTXj1KlTHDp0iMWLFzNt2jTmzJlDly5dGDFihGpYX7t2LWazmWXLlnHppZeS\nlpaG3W7nqquuon379nTp0kXlZcr+I4fDwcqVK5XS8uijj3LgwAGioqKIiYlBCMHVV19Neno61dXV\neL1eBg4cSE1NDWFhYSxZsoQePXqoKU5Z6gPo3bu3uh/ZyG61WlVv2j333IPP51MWFiUlJYpYmM1m\nlZ+Zn5+P1Wrlqquu4uuvv+bYsWNBz+rAgQPExsZiNBpp3bo1ABkZGYqcffPNN8rpf/jw4apMaTAY\nePHFF1X4ukRgNqbX61UkSk6zBhLqwMEAaWQrl6+//np1rObNmytFTQ56yOcU6NcmIYRQPXaapqn4\nLPksA1XcMWPGBH1uzj+OxWIJ6kszGAzqHkwmEwaDgcsuu6zR589isTBkyJCgErIOHTp+zTAwY8YM\ntbRz506OHDkStHwxlD4vhuX/ZukTcQH07dtXbNmyRXTq1EkIIYTP5xNZWVkX2lzHj4jrrrtO5OTk\niClTpnzrdikpKcLhcAghhOjRo4cYM2aMGD9+vIiKihK7du0SI0aMEM2aNROA0DRNVFdXC6PRKLp0\n6SI0TROXXHKJyM3NFX369BGaponw8HBht9tF165dhdlsFpqmCUDExsaKmJgY0apVKwEIm80mjEaj\nMBqNAhBZWVkCEFOmTBGhoaHCbDYLs9ksevXqJSwWiwCEw+EQBoNBAMJoNAqDwSDsdruIi4sTgADU\ntQKiZcuWQde+ZMkSta/cRr4GiMjISLXOZrOpc8nX5XVarVYBiPbt2we9Js8fHx+vlu12u9A0TZjN\nZmGz2YSmaSIsLKzRceVPZGRk0D3GxsYKQJhMpqDt5DXI48hz2O12tX2PHj1ESkqKOpZ8zWw2i549\ne6rzJyUlNboOh8MhAPXsNU0T6enpjbY7/7oA0aZNG7Fs2TL1GTv/df1H/9F/fk0/RpGbm6v+HuTm\n5urLF1jOzc0V48aNE+PGjRNTpkwRcEG69X/igopabW0tPXr0UMvSMV3HT4umLEG8Xi8PPPAAHTp0\nIDs7m9mzZzNr1ixOnTqFy+Vi0KBBrFixghUrVrB48WLKysq49tpryc3NpaKiguTkZIxGI4WFhQgh\n6Nq1K0IIvvrqK3Jzc/nss88QQhAZGUmPHj0oLi7G6/Wqqcjy8nLOnj1LaWmpsnkQQqiyn+y9mjdv\nnlLhDAYDbdq0CYo68vl8WK1WIiIi8Pl8uFyuoNBxr9erYo+kzYf0C5OTiC+++GJQo7/4/6pR4HHq\n6urUtTmdTqXuFRcXqz62bdu2qbglqXDFxsYG+bFJ65WGhgZlWyJLhXJ4QELTNBUHJe9F+pcFGvFa\nrVY1VCD3k5FX0o4D/OHqgSVbl8ulguEPHjyo7vv48eNBn59A9UwqlOAv2QYeXx5LQj6jEydOoEOH\nDh1+eP/vTXT813FBohYTExMkaS5btiwoKFrHT4O//OUvHDt2DJfLpSxB5s6dS0FBAbt27WLXrl3c\neOONeL1e4uPjCQkJYf369UyYMIG4uDjatWuH2WzGaDTy+OOPY7fbFemRBEtmtXm9XubMmaO+pI8f\nP86XX36pzFcHDBigmtdl75kQAqfTqQxpwd/7pGkanTp1Uu789fX1yoYkNjaWzMxMTCaT6tOThExe\nK/itKmS5sVOnTmo/aZwL8Kc//Yna2tpGlhfyHjRNY/Dgwar0nJ6erqwywsLCFCmLjIxUqQbyPo4c\nOUJNTU0QoYHg0qi85qioqKByZODvEpKovf7660HbyeEKCdlHJvvf5PMI7B8LzDWV/WnyPgKHFjRN\nU6+fOXMm6Nrk8QwGA1lZWUF5ovIeExISvreBsw4dOn5ZsFjsjUp9etbnzzj1OXv2bO644w4OHTpE\nixYtSE1NVV+0On46vP322/Ts2VNZgyxevJj8/HwmTpyovkwjIiKYOXNmEDlYvXo1qampPPnkkwwb\nNozCwkKmTJmC0WikV69ebNiwgZdffhmLxcKgQYP46KOPMBqNVFdXq6zKmJgYDAaDCuxetGhRUD+V\nJHqhoaGcPn1arY+Li+Po0aN8+OGHCCHweDxYLBacTidnz56luLhYOesXFhYGEYH777+fZ555BpfL\nRUpKiorO2rNnD2fOnFGEUJIM2T8m/dqkYtevXz/Wrl2rfNgkZNJCYWFhUON/ixYtKC4uVvcKqFSA\n5s2bK7ITEhKiFC25rqGhgdra2qBGfTlVGXiO8PBwSktLufPOO9W6wAED+UyBoCnW87exWq24XC71\n3Hr16sXmzZsBgnJHIyIigkic7EPUNI34+Hg1Cerz+Th8+DCxsbGqx1Ceu127dr/aSW8dOnQEwp/t\nGYiLacryYlv+SbI+V65cyRVXXMGjjz7KxIkTGTlyJOvXr2/km6Ljx0NBQQGFhYWcOHGCp556imef\nfZZ33nmHPXv2MGHChEZlTxl5BP4PRkNDA9OmTaN169aYTCZcLhepqal06tSJAQMG8I9//IOGhga2\nb99ORkYG5eXlpKenc8cddwD+yKlAf67CwsKgCUBpOuvxeIIIXH5+PiaTSUWOyZJhaWlp0Haapinb\nCkkuXnrpJTXNefLkSTVgIL3TZIO9LEnef//9gJ9Upaenq2PPmjVL/e5wOIiJiQH8/8qR5wo0wW1o\naFDHlNFZDocDIMjDTKpigTAYDEHbNGvWTA1XSBiNRh599FF1LvArcZGRkU0qVtJTDiA7OzvoNfke\neDweoqOjVTQUBJO6xMTEIOIXSGpPnTqlzqtpGq1ataJfv35qX/kstm7d2ujadOjQ8WtE0ya3etbn\nj48LErW8vDxeeeUVSktLKS8vZ+7cuXzwwQfcdtttTJ8+/ae8xl8tpk6dSmZmJsePH6dnz56sXLkS\nq9WK2WymW7dufPXVV9x4442MHTuWFi1aqInHzp07c+rUKYqLi2nbtq36QpdRTtOmTWP79u3qC99g\nMHDmzBlMJpM6BvgJlyQtVquV6dOnBwWnJyQkYDAYKCoqUr1V4CcqoaGhyq8LoG/fvpjNZi655BJi\nYmIIDQ3lpptuUkTPaDQSFxenJi1NJpPyBZO+dUIIFZ3Uv39/AGbMmKH6sAKJ19y5cwE/Qaqrq6Ok\npATwq1pGo1ERKaPRqKwwJJHx+XxYLBZFvmR5V5JWl8uFyWRqFLIuEajKNWvWTF3/3/72N3V88BM2\nn8+nyr7yvXA6nUoxNBqNijA2hfr6+qDSaWC/3t69e4OsOeQ1tWjRgpqaGrXctm1bDhw4EFTCkH1t\nlZWVjTJKdejQ8WuE+aIpbf4vLP8kpc/jx4/z1VdfqVzDqVOn8tvf/pZPPvmErl278sc//vEHnVjH\n/4333ntPeXbJsmdISAjJyckkJyfTsWNHzGYzt99+O+A30n3ttdeIjIwkISEBn89HUlISN954I/v3\n76eoqAij0Ui/fv14/vnnycjIIDw8nK5du5KZmcmTTz7JBx98wLvvvoumaRw8eFB90UdHR7Ny5UqO\nHDlCWFgYlZWVmEwmRdrq6uqIiorizJkzSvWKjIxUQevV1dVERkayb98+1QO1Zs0aFSheV1dHUVGR\nMr31+XyUlJSoUp1UioqLi+nXrx+HDh0CoGPHjhQVFVFbW6vKpJqm8fzzz6NpGuHh4UHeYjExMVxz\nzTXMnz9fESWv1xvUSG82m2nZsqU6R3x8PEVFRVRXVyuS5/F4FIGRhE+Wgvv06cPmzZtp0aIFp06d\nUoHxgeeQqKioCFLUNE1TgxbgJ2rz588nKyuLmJgYiouLVX7c008/rZ61xLx581QuqsViUcH1ckBB\nnOel9v/YO/Pwpsr1a987SZN0SDpSaAulhTJTKiAoCMiggCAcZUYFREVxwAEcEPUAIk4IKqCAqIAo\nRcUDiIAoUqAMMrRAKYMMZabQecyc7O+PfO9rAujx+NNzULKui8vunWTvd++kZvVZz7OWRqPh+PHj\nAJIgu1wuHnjgAZYuXUqdOnVkkkQAAQRw7cJkCrui1OdLVK4W6VH4qP3tpc/CwkLZkA3eL6+LFy8S\nEhLiVwH4M7BixQo0Go38ovwlvPPOO37h1b179/7dwfELFy5k8uTJfvuefPJJateu/YvJA5fipptu\n+l3nvhSbNm1i3bp1WK1W5syZQ0xMDJMmTeLLL7+kQYMGPP7440yfPp0DBw6wd+9eHnnkEQAeeOAB\nDh8+LCOOBNF+5513KCoqIj09nZEjR5Kfn0+nTp1kxUuv1/P222+jqipNmjThuuuuo0aNGlitVkJC\nQggJCZF9ZkVFRfTu3RutVkt5eTnTpk2TYeU2m43u3bvTtGlTTCYT99xzD1qtlkaNGpGdnU1MTIwc\nMLBYLJSWlqLX66lbty4ajYaEhAQsFguxsbG43W6GDRtGu3bt0Gq1stm9Z8+eXLhwQVa3atSoQXFx\nsUwdAOjTp48cFEhNTeX9998nODiYunXrcurUKdasWeNXgQsPD+e6666TVSSn08mZM2dkZJUYKggK\nCvLzP/Nt2vf1KcvMzJTHEFU6g8EgfxbnEZmnvhKpII3CG8/hcMiwetHXt2XLFlnV9vVxUxSFp556\nSv7scDgoKyuTXnBiffn5+X7DCIK4mUwmubaFCxdSVlbml5QQQAABXJswmSJlGkEA/338IlG7++67\nueGGG5g8eTKTJk2iffv23HXXXVRXV9O0adM/dVHp6encfvvtpKen/+rz3n33Xb+eodWrV8u+qP8U\nl/YJeTwevv76a5o2bfqbmfDWrVt/17kvRUZGBh9++CHDhw/n5MmTFBUVUVxcTHJyMi1atGDevHny\ny1VUi3zlMgFFUejYsSMWi4XVq1dz0003MW/ePJo0acKmTZto3LgxW7du5e677yY6Olo2+w8bNgyL\nxcKtt94qrTtKS0vZtGkTqqqyadMmdDodZWVlrFy5EqPRiKIoVFVVMWjQIFJTUykrK2PmzJnExMTw\n8MMP43a7OXDgAAcOHMDpdBIfH8+4cePQ6/WcO3cOALPZTHBwMHFxcfL9SE5Oxul0MmHCBAYPHsz6\n9evJy8uTwwvffvstVVVVWK1Wqqur0ev1ZGRkoNFoiI6O5tSpUzz//PNYrVaioqKw2WycOXMGo9GI\nzWaTkuvmzZtlQLzo59JqtdSsWRO73S4TEXynSy0WizTnFaQOvJ+dkJAQaRat0WhwOp1yalrYZIjp\nWN/3S2z7EqRLiaHZbOaWW26RxxYxVxqNRvbiqf8//kpgzJgx8hgajYbIyEg0Gg3x8fFEREQAXslW\nyOHiv48++uhv/twGEEAAf0doJEm7ktTni6tFerxmsj5feuklevbsydatW1EUhXnz5smenD9z+lP4\nhm3evJkePXowadIk3G43zz33HOvWrUOj0TBq1ChUVeX8+fN06dKFGjVq8MMPP5CUlER2djZRUVHM\nmDFD2iA88MADPPHEE5w8eZLbbruNjh07sm3bNhISEiTRuBQbN24kLS1NBtOLN37SpEmcPn2aEydO\ncPr0aZ588kn5JRgWFkZVVRUbN25k4sSJREZGsn//fgYOHEizZs2YNWsWNpuNFStWUK9ePVatWsXU\nqVNxOBxER0fz2WefYbFYZG9g7dq12bJlC+vXr8dkMtG/f38yMzPZsmULoaGhGI1GXnrpJcaNG4fV\naqV169a4XC5q1aolm8FbtmxJWFgYbdu2xeFwoNVqmT9/PqdOnZJh60lJSdx9993MmjWLkJAQZsyY\ngd1uJyEhQVZVlyxZwrBhw7DZbLzxxhv8+OOPzJkzh3379nHDDTeg0+lQVZWsrCw2bdrEXXfdxdKl\nSyktLWXChAmEhYVRWVlJaWmpXN8333zDgAEDWLx4MR6Ph7KyMp599lnWrFkjCctPP/2ERqPhrbfe\nkn1mZrOZpk2bsm/fPik7Pvnkk7z77rs4nU4aNGjAqVOnCA8Pp6ysjPLycoxGI+fPn5fVq549e7J0\n6VLAKxcmJCRQv359TCYTVVVVMt5J9KmZzWbKy8v9qqsajUaeX6fTMW7cOF599VU5fXrgwAHg5x43\nQUjFddjtdqKiovz80YKCgvyqX0KKBC8ZLysrw2KxyAxem81GSEiIlEvFJCd4+9UqKyv9sj4FOVRV\nlZCQELkmcX5xTQK+snEAAQRw7SE4+Oe+16tF2vwrbP9XpE+ANm3a8OSTT/LEE0/8YuP0H42VK1fS\ns2dPEhMTf9U3bMyYMcTHx7Nx40Yp9Ykv96ysLBYuXMjOnTv58ccfmT9/vmS5x44d47HHHiM3N5eI\niAi++uqrK64jPT2dwYMH06dPH9asWePX13PkyBG+++47du7cyeTJk+VjvtWRnJwc5s2bx6FDh1i8\neDHHjx9n586dPPDAA3IisWPHjvz4449kZ2czePBg3nzzTZKSkhg9ejSvvfYax48fp0OHDrLSMmbM\nGA4fPswXX3yBzWbjiSee4OzZs7J37I477qC8vJx33nmHZs2aERUVBXib3xcuXMi0adO4+eabJUHz\nzSUdNWoUVVVVPPXUU0ydOpXo6GjOnz/P+fPn6dixoxwWEI3trVq1koRkyZIl2O12wsLC+PDDDzl/\n/jwrV67E7XbjcDgoLy/3mxa9cOECdrudo0ePsnjxYho0aCAnERcsWEBOTg5Go5GVK1eyY8cO3G43\n586dk+Huoi/L6XTicDjQaDRMmzYNh8OBXq+nffv2VFdXy6BxYVIrpEPxOQBvhalv376ySmy32/1k\nTBHdtG7dOr8IJ0F2RD+dw+HgrbfeknYkLpdLTkwKmw8hffrC1yRXr9fLypj4POn1eoKCgqTsCv4W\nHitXriQyMlKu12g0+vmuqapKeHg469atk2vxeDx+74nv+XyHEcB/+jSAAAK41qDh1VenyK0rVZAC\nPmr/w4ra/wrp6emyz+bXfMN+CaqqsmXLFvr16yd7kPr160dmZiZ9+/aV8iFA69atLzMbBW9f0Nq1\na3nnnXcIDQ3lhhtu4Ntvv6V3794oikLv3r2lyWlsbCwXL14kPj7e7xht2rSRGYkpKSn06NEDgObN\nm5ORkQF4BzYGDRrEhQsXcDgc1KtXz+86LkVFRQXl5eV07NgR8A4PDBw4kPPnz8tAc/CSqEuv69+Z\nlgon/6lTp1JdXU1VVRVbt26lS5cuV1zLjBkzZIN/586d5fRmQkICOp2OmJgYLly4wIMPPsjLL7/s\nV6UBePHFF5k7dy55eXkUFxcTEhJCVVUVzZo1o27dumzcuJF//OMfmM1m5s6di8PhkGkAl+ZyKorC\n+PHjmTVrFgaDQUq0NWvWpFWrVnzzzTd+048ej4clS5bQrVs3zpw549eQbzabKSwslD1swhrkwIED\nskInrDsE+apZsybnz5/HYDAQERFBYWEhHo9HkjBFUbjxxhvJyMhAVVUpu8LP1TW43C9NVVU/aV8Q\nPd8/DDZv3kxJSQl6vR6Hw+Hn5ybO4/tHBkDdunXJz8+/4vl8bUY0Gg1ZWVmXvfcBBBDAtQLlsiqR\nLwLb/52K2lVF1EpKSsjIyCA3N1daGiiKQtu2bX9zQz/4m4UCfl/uvr5gWq3WbxhBYN26dZSVldG8\neXPA24tkNBrp3bs3gN+QhSAol8L3PMLeQvwsnj9mzBiefvppbr/9djZt2sSkSZN+8zWK6/J4POzY\nsYOGDRuyYcMGwPuFn5+fT9OmTWncuLG0ZsjJyWHDhg3Sp2zhwoVkZWUxa9YsXn31Vdm7lJycjF6v\n58iRI6xevRqTycThw4fll/iRI0fkRKjD4aCyshKj0UhsbCxDhw5l2rRpHD9+nBtvvJEXXnhBSmqi\nYuNwOHj22Wf94pXq1q3LgQMHyMjIoFevXgAsX75cTh0Ly4vg4GBsNhvHjx+Xjf1Op5OZM2dSXV3N\njBkzePLJJwHv50CQYqfTSY0aNTCbzRw/fpzrr79e9vS5XC7q1atHXl4elZWVcl9lZaX83EyaNElW\nqhwOh1+0lC90Op28rj179sj3SZBHwK+6+Euf69DQUD/SJK5HfJbFez9r1iw/wmUwGGQVUZynqqrK\nj9w6HI4rfmZ9f29EpfDw4cNXXF8AAQRwLeDfR0YFfNT+fPyq9PnfxrJly2QDvegB+70N9CtWrJAN\n5itWrKBjx46/meylp6fz0UcfceLECfnv+++/l8atfxQqKipkJW7hwoVyv8lkkoRBQFVVzGYzkZGR\nbNmyBYDFixcTFxdHz549ZWZmdnY2CxYsQFEUDh48yOTJk7Hb7SiKwujRo3G73UycOBGAL774gs6d\nOzNv3jzWr19P7dq12bNnD02aNCE6OpomTZrgdDr9ZDe9Xk9iYiJBQUFycKOiooLq6mpOnjzJtGnT\nZI9VVlaWvF+iCiX8u0aNGiWrgG63mxMnTgDeKc6NGzdKuVCn06HT6ahTpw7NmjWTRCgpKYn7778f\nQA4zgHdSV5DvgoICSZAVRaFBgwayguXrudaiRQv5ORJ/HIjjCXJ25swZ+RxBdEWVThCz8PBwaQIM\n8PLLLwP8akauILDi3jZs2BDwl0Tbt28vkw50Op1s/gdvdcyXhPl6uAkImw4Bu90uJVHf818pAuvI\nkSO/e5I6gAAC+KtDc1VImX/F7b+t9Ll06VLGjx/vt69///4cOnToMt+wRx55hAcffJCePXuSkJAg\n+9TA20B/7733ypDtUaNGkZaWxsmTJy+TAC/dtlqtrFu3Thqmgrcpu0OHDqxateqyTMlfOtavPce3\nSjNw4EAiIyPp2rWrDDPv06cPAwYM4Ouvv2bmzJl+x1u0aBGjR4/GYrFQv3598vPzWbt2LW3btuWW\nW25hyZIlHDx4EJPJBEBqaip6vZ4lS5YwZcoU2rZty/79+6XlhtVqpU2bNtJ+pWXLljK+qX379mzY\nsIHbbruNPn36cPfddxMZGcmaNWswGo2EhYVRUVFBREQEFRUV8nhxcXGUlZWRmJhIaWkpjRo1Ytu2\nbbJC5HK52Lhxo5Rbx44dy7x587BYLBQUFFBdXS2nE8PDw7lw4QKnTp3CZDJhs9nkhOmSJUsAL7k7\nefIkwcHBWK1WmUeq0Whks76qquTm5koCLKpNZrMZl8sle9F8+9PEWgWE9BgWFiYlSRG7BV4ZU5BU\nnU7HjBkz6Nev32W9ab4N+4LEid444WnmS9Szs7MlUXa5XH4VuZYtW/oNEFw6DABeUuq7BiFPi569\nhIQEOVQgqmpBQUGEhITIKmQAAQRw7SE4OOTfSp8BH7Urb/9tpU8h3flCTFQCTJ8+3e+xxx57jMce\ne0xui6oMwFNPPSV73QQubaAfN27cZecLDg6muLj4sv2/NHTg69ouKg+dO3f2K70K+Q3g5ptvlq76\nffv2pW/fvpcds0GDBuzbt09uizcbvHFC27dvB7xScWxsLMHBwRw5ckT6Y7Vq1eqyydwlS5bw/PPP\nc88995Cbm8u7777LTz/9xFtvvcXs2bO5//77efXVVy9by7Rp0+T0rJD81qxZg8fjoW/fvmzbto3U\n1FSWL19OREQEmZmZjBkzhjfffJPq6mqKi4vZvXs3kZGRshIqyMSLL77I9OnTSUpK4pZbbuGTTz7B\nZrMRFBQkjVrz8vLQ6/U4nU6mTJnCl19+yZYtW7BYLLLqZDKZCAoKIizMa8iYlZUlBx1EvJJWq5V+\nb+Al3xaLhYqKCj+/PhFn5UteALp3705mZiZWq9Wvp6127dqMGzeOp556SlaqwFtlGzRokN+9NBgM\nskoo5EqR2wlcUY4EqFevHocOHZLH9n2e7x8owuDXt2cNvKa6ERERklzm5ub6DUQUFhZeVsUdO3Ys\nCxcu5PTp05SUlMjBlAACCODawZo1q/7XSwiAq0z6vBbw78x8O3fu/JsbuD/77DOCg4M5fPgwtWrV\nklJxQUEB/fv3Jy0tjQkTJuBwOCgsLKRLly4sWLCAFStWMGbMGG677TbAK+tNnz6dJk2a8O6771JS\nUsLWrVtp0qQJdrud5s2b06NHDxYvXkxJSQl2ux2Hw8Gnn35KYWEhmZmZaDQa7HY7AwcO5JNPPsFk\nMvH5558D3n6rWrVqSRuLsLAwTCYTeXl5bN68mWeffZbc3FzZwK9fCpB+AAAgAElEQVTVaiWhatOm\nDV26dCEsLIxZs2ZJywsxBQreCVun00lxcTE//vgjbrdbVqBq164NeOU/IUkqiiINaAVpFBOWMTEx\nGI3Gy6TnH3744TIfNYDo6GjmzJkDeKu/RqOR0NBQtFotu3fv9nu+kEqTk5PlPkF4fddlNBq58cYb\n5TkOHDggPdl8MzuBywZQRAi7r4mtOK6AwWCQ4fLCB+7OO++UxwB44403KCoqkj2CAQQQwLWEIFRV\n/U1Sny+uFunx7+ajFiBqPvh3k5GX4veQrn9n5vtr0ip47UtEVNLcuXPp1KmTn5WJmEDs3r07TqdT\n5j2aTCY2btzI5s2badq0KW63m5YtW5KVlcXbb7/NRx99hF6v57nnnqNNmzZ06NCBo0ePotfrpZXJ\njh070Gg0dO7cmbCwMFJSUnC73RQVFREbG0tQUBDl5eX06NEDt9vNyy+/jFarpVevXly8eBGj0ShJ\n0dGjR1myZAmdOnXi4sWLHDt2DI/HI3vYUlNTUVWVrVu3kpmZSWVlJQkJCfLeuFwu7rrrLikdRkZG\n+kU4GQwGtFqtTD+w2+2y/0xVVekjl5aWRlhYmCQowrbCVz4UfVyXTk+KdeTl5cnPg91ux2KxoNVq\n2bNnj1+PnqhwHTt2TO6vqqqSlWKREqDT6WTKhbjegoICv8+GqCbu3bvXrwdOXKOvVKqqKvfee698\nzoABA+TrxXV+8sknl12b2+32G5wJIIAArhV4//903XXXXSbnBbZ/27aQPjt06PB/Hm4IELX/jxEj\nRvDPf/7zP3rNf0q6hJnv7NmzZbXJarUyZMgQmjZtSr9+/eTAwrx583j22WflaxcuXMiYMWNYvnw5\nc+fO5YYbbuDs2bOyIjRw4EBuuOEGcnJy0Gg0nDp1io0bNzJ+/HgiIiKorKykc+fOcrIxNjYWVVVZ\nt24dbrebe+65h6eeekr2lUVERBASEsKgQYO44YYb2LJlC8XFxSiKQuvWrdHpdBw+fJivvvoKVVXp\n3bs37dq1Q1VVPvroI8LDw9m1axcej4fPPvuMkpISqqur0el0REdHy0lR0W8VFxcniZbdbic7O/uy\ne7hz506/wYFt27ZJGbB3796Eh4cDkJeXh91ux+VyYbFYcLlcGAwGNBqNnKwVk7B79uyR1TO73S5l\nSFGti4+PR6vVyoqUqqrUqlVLruH8+fNyDW63G41GQ3BwMA6HQw47qKpKZGSkTA3wJYG+PW7gJVZV\nVVXMmzdPXn/37t0pKCjwi5sSwwEul4t+/frJ12s0GmJiYuS2IIczZsyQ+86cOUNRUZHcFr2DvoRP\nXMfFixcJIIAArjVcuQ3jSri0qnY14P9awbraECBqvxO/h3QJM98NGzZQUVFBdnY2DzzwABs2bJAV\noKysLBRFYezYsXz44Ydcd911tGvXjk8//RSXy8WiRYv44IMPsFgsOJ1O1q5dS3R0NNOmTcPlcnHi\nxAl69OhBeHg4N998My+99BJVVVVERESQmprK0KFDycrKkgTpUiuTCxcuoNFoWLdunczP7NWrF0OH\nDmXp0qUoisKcOXMoKyvDarXKBskVK1awfft2XC4X8fHxHDt2TDr5R0RESJLSpUsXOehgsVgk8fCt\n3ISFhUnfPOGRJoLbnU6nrAbdfffdkkB9/fXXsgfrzJkz8lh2u50333wTm81GSkoK3bp1k9ctzhsV\nFUWtWrWAnwmKMPa9cOECTqcTt9uNwWBAURRGjBgh71nfvn39sjbFdQF+3nrFxcU0aNAA8MqxvlLm\nHXfcIdciJjp9J0y///57v8+eTqfj9ttvl+sVn7/WrVszdOhQeX/F6wFpLQNe2xBFUeTkrvD78+19\nGzhwoPStCyCAAK41eP9o+y1SnzAP/63Pv1a2/7ZTn38lXClBYePGjYSFhXHw4EH2799Pq1atUBSF\n/v37065dOw4ePMhTTz3F9OnTGTx4MLNmzWLDhg0sXbqUrl278sgjj8ieKqvVSqNGjZgzZw6fffYZ\nn376KdHR0URERGC32ykrKyMkJARFURgyZAhz5syRJGPRokUMHDiQLVu2sHbtWiZPnsy//vUv2rRp\nw2effUbHjh3Zvn07NpuNG2+8EVVVsVqt0husYcOGxMbGoigKy5cvR6/XS1nOaDQSHByMxWJh6tSp\nZGZmAvDmm28yZ84csrKyOHv2rHyNSCYQJGb79u2ygiUGAMrKymjbti0HDhzA4/Fgs9nQ6XS0a9eO\nrVu3MmnSJFltGzx4MCtWrODs2bO8/vrrUuKLjo6WnmpGo5HIyEjy8/NxuVxMmTIFVVXJz8/n0Ucf\nxWw2U1lZKSdLwVt5MhgM6PV6rFYrtWrVorq6WmaPnj59WlanRCC6RqPhxx9/lGQmKiqKoqIiNBoN\nqqrSpk0bzp07J73Pzp49i9Fo9COS8fHx0pzY4XCQlJSECK0XtiqKolCvXj35P0SXy8WXX34J4CfH\nZmdn+8mtBoMBj8eD0+lk//79Mo7K4/Hg8XgwGAycO3eO559/ntmzZ/uRspycnABJCyCAaxQmk7c3\n9bdMOV6NhrhCavy7TH0GKmq/E+np6QwcOBD4OUEhMzOTe+65B/DaYogEhJiYGOrUqcMPP/zAyJEj\n+f7771m2bBkrV66krKyMBx98kJYtW7JhwwZJlvR6PWPGjOGLL77AbrcTHx/Pjh07SE5ORqvV0qBB\nA0nevv/+e9LS0tBoNFitVmw2G59++ikWi4U1a9bw5ZdfotPpeO655zAYDGzbtg2328306dNp0KAB\niqIQGRnJuHHjsFgslJeXY7fb0Wq1JCQkMHr0aO6//36ioqJQFIXExER0Oh1r166Vfz2UlpZKuVKQ\nOlFRUhRFynG+FTyHw0FJSQkej4fdu3fLqprL5eKNN96QIfcDBgyQr5k9ezYXLlyQ74N4TWlpqZQD\n7Xa7DG0HiI2NBbyWF3v37sXhcEip1WazUVpaKockhGR69uxZgoKCsFqtFBQU+DXwq6oqA9ZFf6JI\nMBA/K4rCihUr5LpVVeXEiRNotVq/mKbq6mq6dOkit61Wq6yWitd5PJ7LJpFdLpcMYfeVZT0ejyT7\nviHtvlObPXv2RKfTYbVaMZlMzJ49W+4XEH5zISEhgYnPAAK4xiBC2AO4OhAgar8DIkHh/vvvJzk5\nmWnTpskKxy9VIRITE2nYsCEvvfQSTzzxBKdPnyY6OlpONe7Zs4dly5bJL0gxibdixQq2bduGXq+n\nZ8+e1K1bF4fDwQsvvMCJEyewWq3MmDGDffv2YTAYiIuLIzExkXvvvZdGjRoRHx9PdXU1FouFyMhI\ntFot8fHxvPDCC3z33Xe0a9dONp8/88wzGAwGTp48SceOHTEajRw8eBCHw8GoUaOIjIzE5XJxww03\noNVqOXLkCG3btiUiIoIpU6bQoEEDQkNDMZvNeDwe2XvVsWNHGYBeXV1NUFAQiqLQqFEj2Vd25MgR\nEhMT5f0S04qAn/Sn1WqlnOd0Ov0k3Dp16gBeYiYqZTqdzq/PSnixiaEGsU+QJ1E10+l0OJ1OPB6P\ntPUQhBYgPz/fr9fs008/9Yt48nX4DwkJoW7duoCXRCYlJcnX6XQ6P6myqKgIp9N5WebmpVOoBoNB\nVhAvTUk4e/Ys4JU9Bak9d+6crL6dO3fOb+2C7H777bdy3/DhwwH/FIUAAgjg7w4Nb7/9ttz6LVJf\nIOszIH3+17FixQr69evHoUOHaNSo0WWPd+7cmZtuuonhw4dLWwaxv1WrVixZsoQuXbqQm5vr59mW\nl5dHQUEB6enpvPnmmwAMGjSI2bNn43A4SElJoUmTJrIKBxAREUHTpk3ZvXs3Op2OgQMHsnLlStq2\nbctdd90lv6C3bdtG3759/WSwpUuXkpiYyJIlS1AUBZfLxcWLF7njjjsYOXIkjz76KC6XS8prycnJ\nVFVVERMTw6OPPsq3337LM888w3333cfs2bNZtmyZrCytWrVKeobVrVuXmjVrSvPZ6upqKVOKJvXM\nzEwWLVqERqORmZ6iAuWbWyl6uwSBio+P59y5c9IYV1EUdDodNWrU4OzZs2i1WoxGI9XV1ZSUlEhS\nUV5e7kfEhIGu2+2WBMVqtcqfffMxxXlEv5avjQb8nIqh1+sJCQmRa3vsscdknJjwSxOwWCxSanW5\nXBw8eFA+FhMTw5o1a+S26AsTAwkOh+MyTzdAHr+8vFxeG+B3j4VxrbBTSUtLY+/evZSWlvpFUQly\nmpaWxk8//YTNZmPRokUEEEAA1xoC2Z5/1PZfRvr8Iz3Dfit87St+D640yelbARGS1ty5c1m3bp3c\n379/f06cOEFVVRVNmzZl4sSJXH/99QBMnDhRbp8+fVrunzp1KvPnz+fo0aO4XC7y8/OZM2eO7G0D\nWLVqFa+//jr5+fncd999LFq0iB9//JHS0lJat25NSkoKa9eupVWrVjzzzDN+maY333wzmzdvRq/X\nExoaSmRkJN9++y3Dhg2jrKyMkpISWakpKipi6dKlVFdX89JLL5GZmUm/fv1ISEigurqaU6dOUVlZ\niU6nk4TIbrezcOFCli5dKqs7gLTYsFqtMvIpPz8frVbLzTffjMfjQa/XU15eLqcsa9eujclkkgME\nNpuN5ORkgoODZdUtJCQEu90up11FvJToExRkRZAqVVUJDQ2VUiwgrTMURZG+apcazfrGLflKlb5e\nZA6HQ0qdwlxXHEcQcV+UlJT4kVJx7iNHjkii5CsLFxYWyv2+JE1Uv8Qafa9NGN6KaC7fTNKioiKZ\n2ykqbuL+jRw5EkVRKCgokL5pYn2BVIIAAriW8O+zPS9FIOvzz8efStT+r55hvwfLly/3q1j8Fogv\n2F+a5CwqKvKb5Lz++utp0aKFX7KByWQiNDSU9PR0JkyYwNmzZ7HZbHzwwQdMnDiRbt26kZGRwZAh\nQ+QkZ0FBgV8/kcfjISYmhs6dO8s0g6KiIsaNG8eoUaMYM2YMqqrSqVMnQkNDuemmmyguLpYEokmT\nJuTl5Ukpr0OHDtSvXx+DwYDNZmPKlCk4HA769u3L3LlzcbvduFwugoKCKC0t5ezZs8yePVuGyPfo\n0YMjR47gdrsZMmQIwcHBKIrC448/LqVF32qOx+MhOjoanU6Hoij06tVL3tvvvvsOp9NJjx49AG/l\nyO12S0JgsVgoKiqSprgej4ctW7Zgs9mwWCwoioLZbEan08lBBbvdTlxcHC1btqS4uFgSG3FMQE6e\nCjRq1EjmnYp1P/DAA37Gsb4TqAMGDPAjpr4TnmIyVFS/BETCw+TJk/0+3zqdDqPRiE6n8yNXKSkp\ngL9s/ku/F+J+ClIr3gdx3WVlZZLY1apVi48++gjwxkSJz5rFYpHEWqPRsGbNGjlsIXrhysrKAh5q\nAQRwTSGIt99++6qQLv8O23+k9In6J6GyslKtW7eueurUKbVx48aqqqqqxWJRBw8erDZp0kS98847\n1RtuuEHdvXu3OnfuXPWZZ56Rr12wYIH62GOPqaqqqosXL1bbtm2rXnfddepDDz2kut1uVVVVNTQ0\nVH3hhRfUtLQ09cYbb1QvXryobt26VY2KilKTk5PVli1bqsePH1dvvvlmdffu3aqqqmphYaGalJQk\nz9GnTx+1a9euaufOndXq6mq1U6dOao0aNdSWLVuqTZs2VbOystTp06erYWFhqqqqak5OjqrT6dTa\ntWur+/fvV3U6nWqz2VRVVdXOnTuriYmJ6oABA1STyaTeeuutqtVqVR9++GG1Q4cO6rJly1RFUdQa\nNWqozz//vBobG6vGx8erWVlZanx8vFqzZk117ty5qqqqaseOHdU2bdqorVq1Ups0aaIGBQWp69at\nU9u2basqiqKmpqaq3bp1U5s1a6aGhYWpTZs2VZs1a6YajUa1WbNmau3atVWtVqtGR0er3bp1U7Va\nrRoSEqJGRESoBoNBjY2NVaOjo9U6deqogBoVFaVqtVo1NDRUvffee9X69eurer1e/eqrr9TY2FgV\nUMPCwlS8LohqZGSkqtFo5LZGo1E1Go1qNBpVo9GoJiUlqYCq0+lURVHk84xGozwn4PeYTqdTNRqN\nqtVq5b6goCA1NDRU/tyiRQtVo9GoOp1ONRqN8txarVbVaDRqZGSkGhQUpCYmJqoajUZVFEXVarVq\nfHy831oBdeXKlXJf3bp11aioKLndsGFD+XPXrl3lz77/9Hq9Wrt2bRVQa9eurfbu3VteU61ateRz\nfK9HURQ1MjJSPg6oERERauPGjeXaxD3xvb8Gg+Gy80+cOFENDw+X91i8TlEUNTw8XAXU66+/Xt4/\n8f4AqtlsVg0Gg99rxOPimsS9j4iI8Pu9vtK9CPwL/Av8++v/M5ki1YyMDDUjI0P+vv+W7bfffvs/\nev5/Y1vs+1+uJyMjQx0xYoQ6YsQIdeLEiSr8frr1p1XUrmRfMWfOHGlfMXnyZOkZ1r9/f5YvXy5f\n+8UXXzB06FAOHTrEF198wbZt29izZw8ajUZmWFosFtq1a8fevXvp1KkT8+fPp3379vTt25e33nqL\n7Oxs6tWr96tVuz179vDVV1+RkZHBK6+8QkVFBenp6WzYsIHCwkI++eQTMjMzpRyUmppK/fr1qVOn\nDs2bN6dGjRq8/fbbFBcXc/z4cc6fP09KSgomk4ldu3bRuHFjNmzYIHuyhARZt25dZs2aRVRUFPfe\ney9du3bltddeY+LEiYC3ujZ9+nSysrJYvnw5qqrSvXt3Bg0aRHh4ODk5Oaxfvx6NRoPT6USv11Na\nWopOp+Orr75i/fr1UnrctWuX9AAzm82oqkpycjLDhw+nZs2aMldTq9WSmprK7t27CQ0NlZ5f4v7d\nc889ZGRkkJycLCcBhflsTk4OZrNZynEiXF6v10vPM9E072tNodPpSEhIICIiQg4JaLVawsLC0Gg0\nREZGyqqOWHebNm1QFEW+J8OHD+fGG28kISGB2NhYXC6XfL9FEoLI+4SfZdGhQ4fKe11ZWUlJSYlc\nv5AGNRqNtB8R90Jcj2+OaH5+PmvXrr2s50s8t127dvIaSktLqa6ulmusrKyU90v01Yk+MwEhP4p8\nTvBOv9avX18mD6g+06VCks3OzpbPV1XVbzAgLi5OviY2NlZK2uLaVVXFYrEEhgkCCOBvD+3///9G\nYNLzasWfRtT+U/uKevXqsWPHDoqLizl8+DDt27fnhx9+ICsri+uvv17aV4jgdb1eL008W7duLb2o\ngN/s/3TrrbdKg9E1a9awb98+evXqRc2aNSkpKbniJGdJSQm33HKLvK6PP/6Yf/3rX/Ts2ZPk5GQS\nEhIYMWIEzz//PKNGjeLw4cNSwxfO73379kWj0RAeHk67du3Q6XSEh4djMBioqKhAp9Mxa9Ys0tLS\n6NevH263WzrT+0pd4J0mFSTBbDZz9913M3bsWBRF4fbbb+edd97xiyHyeDzs2rWLkJAQTpw4gdPp\nZNGiRbhcLtq1a8fJkyc5d+4cycnJADITUmj+Yo0iokpVVQwGgxxMEBmVoaGhdOjQQUp1l8p04J2O\nFMMCvqarnTp1wuPxUFBQQGhoqJSFQ0NDpQWImChdsmQJ27dvx2Kx0L17dxRFkZYfTqfTj1z5Qgwu\neDweSkq8/4MS/XJC0hTHEGjevLmUKeFnIiZ808Tn5JtvvqFhw4ZySGH79u1+75e4b+A19/U9h/A4\nE4MYvuvy7aWrrq72205KSpJEzrd/Tcid6v8fHtDpdFRVVZGfn0/9+vUJDw/n4sWLMsdUoGXLlvK9\nDSCAAP6+8G1x+D1Sny+uFunx75b1+adMfQr7itzcXGn9oCgKrVq1+kUSNWTIEL744gsaN27sF4kz\nYsQI2fPji0vjbny/tC7tCxJVlEurA+ILGbzTfEOGDJHTi/DzJOf69esB2LdvH4WFhXzwwQcsXrwY\nt9vN2bNn+fTTTxk3bhzbt2+nW7du/OMf/+Duu++W98I3Igh+bkoXVTZBfkSFzOl0kpeXR3Z2NrNm\nzeKZZ565YmWjU6dOpKenc+eddxIbG8vo0aN58MEHycnJYe3atXTt2pWDBw8SHx/PTTfdxIYNGygr\nKyMoKIj58+fLnqvRo0fTsGFDrFYrERERlJSUSN8zEb304osvyuqURqNh5syZsvfwtttuk2sXVhPV\n1dVs2rSJmjVrcuHCBdxutx/pUhSFuLg4CgoK0Gg0TJ06lWHDhhEcHMx3330HeCtiixYtkmkC586d\nw+l0yulJ0cQPyAlSQQbF5Kb43O3cuRPw9pMJ4iN62US/mDCE9fUsE1Uyk8kkDXkFhg0bxkcffURU\nVBSFhYVyXT179vQjX744ffq03+dThKhfiujoaBnzJD4/Ho+HFi1akJOTg9vtpn79+nKy+MKFC/J+\nCBKqqqocIBDbLpeL0NBQv/dSo9GQmJhIs2bNWL16NYA01/2l6wgggAD+DtCybt3PU+dX09TkX337\nqp/6XLZsGcOHD+fkyZOcOHGC06dPk5ycLO0rgMvsK4RnWHp6OkOGDAGgW7duft5iJSUlnD59+lfP\nbTKZpPQD3hu0e/duua5fgqIoflWMPXv2yElOVVVp2rQpjz76KBEREaxZs0ZeV0JCAocPHyYtLQ3w\nNvS/8sorfPDBB8yZM4fu3btLYuD7Be3785AhQ5g2bRrnz5/n1KlTdOjQgVOnTtGmTRuysrIkCQ0O\nDvb74hwzZox0nc/Pz2fq1KmAl+CIadv333+fsrIy+vfvT2FhIW3atCEuLg5FUfB4PISHh/PPf/4T\nt9vNhx9+SK9evaTv2tNPP43JZEJVVR5//HGOHz/OpEmTsNvt3HTTTZIUiVQDh8PB5s2biYmJITg4\nmJo1azJ48GDAS6abN2+Ox+ORBrT169eXPmDPPPMM4JXkxPXabDa/sPDNmzcD3sb4/v37Ex4eLtfg\ndDp5//338Xg8VFZW+v1BIALOwTscoNVq0ev1uN1uvwlPcV5BxnQ6nfyDoLKy0o+kAXz88ceAtyom\nLEnEcwUZ12g0mM1mTCaT37l8Pwe+UVPiNb5/eAiZV6PRyM+/0+n0mzq22Wy/+jnzrSpWV1cTERHB\nsGHDpJ3KyZMnJUmDn8nhpR5tAQQQwN8J6v+5ghTwUfuLVtSWLl3K+PHj/fb179+fPXv2YLVaadq0\nKU2aNJE2FfCzZ9ihQ4fkfkF6unfvjsfjISgoiPfff5/ExMTLvozE9pAhQxg1ahSzZs1i2bJlPP30\n0wwaNIgPPviA3r17+03t+R7j8OHDPPnkk7Ro0QKPx0O9evX4+uuvAcjIyODgwYPcd999DB8+nFat\nWsnXvf/++8ydO1ceE7z+aGfOnKG6upp//vOfjBw5EvBWfYSk2L9/f6qqqsjKyqJ9+/YcOHCAevXq\nkZSUxNixY8nIyKCqqoqgoCCaNm0KwKOPPsq2bdtITU2lV69ePPLII5hMJgYPHsxrr73Gww8/TIsW\nLWQ/WG5uLu+99x5bt27lmWeeoVOnToB3kvTYsWM8++yzrF69muPHj3PkyBHuvvtuvvrqK7Zu3crZ\ns2cZMWIE7777Lu3bt2fGjBnUqVOH8ePHYzabGTt2LB9//DE7duwgJyeHBQsW8PzzzzNu3DiWLFlC\nRUUFhYWF0kQ1MTGRTZs2odVqadmyJevWrcPpdBIWFkZVVZUk42VlZdIfze1289VXX/m9z8HBwRQU\nFLBs2TI5/Qne8r2QOn2hqqqf9PjNN98QEREh/c98q52+/Vyiv01U3UJDQ7FarbLCJvzJACm7i2lZ\nEfEFSMNcs9lMXFwceXl50h5ESKBCevVds3g9/FwJFiRUIDw8XFbPRKVSkFBB2oKDg9FoNFRVVVGr\nVi1pgFtRUUFCQgK/BN97EUAAAfw9ERwcEvBN+5O2/8iK2p9C1DZs2HDZvjFjxvzb161ateqyfYMG\nDWLQoEGX7fetmvXv35/+/fsDSNLji3379smfp0yZAngl1REjRsj9RqNREq5fgqig+KJPnz706dMH\nwK9C6GvdsWDBAvmz6LG70hry8vLkz9u2bbviGsQwhcD48eM5ceIEBoPBb33h4eHcdddd3Hvvvdx7\n770MHz6cXbt28dprrzF16lRq1qyJRqMhISFBWmbcf//9WCwWli9fTmxsLJs3b6Zly5aUl5dz8uRJ\n3n//fcxmMyNHjmTp0qW8/PLLDB06lD59+jBz5kzq1avH/v37OX36NHq9njp16khXf4vFIvM0W7Ro\nwbp16zh16hQff/wxDz30kHw/hwwZwnfffceFCxekdYiwAAkNDfXzBvMlESIz1Ne4FryEwzdOymg0\n+m37vt5ms8lKljD0FVUw32prWFgYNWvW5MSJE3g8Hr+80YsXL/qty2QyUVVVRUVFhbxGt9tNRESE\nNM/1XbOwJ7Hb7bRp04Zdu3b5VfJ8j+1bdRPPcbvdkqQBdOjQQUr3vtFbdrtd/i4I8imkX/BGTvk+\nP4AAAvj7Yc2ay79z/1MEfNT+fAQipP7iaNas2RVNg33NU333gb9xq6gCiZ/FF7WqquzYsYM9e/bQ\npk0bbrvtNnbu3EmdOnVYtWoVGzZsoFu3blgsFvbu3cvQoUNp3749BQUF2Gw2oqOjqVWrFosWLUJV\nVXJzcykqKkJRFL755hvAK5lOnjyZWrVqodPp0Gg0fPPNN5SUlMiMyrKyMtq0aUNYWBjDhw/3IzXC\n+8xgMBAeHi5730wmE2FhYdLPrVatWvLaIyIiMBgM0nRWSKdVVVWyf0uv10sp22q1yrB2ARHFJciR\nkC4vXLjgd891Op00/70U8fHxfrKtgNvtlkRUGEWL8+j1ehmzpdPpZBUyKiqKW2+9VR5DyLWhoaH8\n8MMPfusMDg5Gp9MRGRkp1yUmTMV0MCD/EvyjfQ4DCCCA/z1MJu/v/9UiVf4dt/9I6TNA1H4DruYv\nq65du2K325k/f77cl5OTw9ixY/n888/xeDwUFhayefNm2rZt+5ulrO7duzNz5kxpApyamoqiKHTr\n1g2Xy0WPHj2oUaMGNpuNxo0bk56eTpMmTcjJyUGj0bB790hE/bcAACAASURBVG6GDRsmK4B169Yl\nOjqa6upqysvLee6553A6nRw9epRatWpJcjJjxgxUVZXVHFVVycnJoaqqiiVLlqCqKuHh4SiKwvHj\nx2nRogUOh4PS0lK0Wq0MjrdYLLhcLjweDzt37pQJBkePHpVGu2JaU0Cv11NdXY3D4eDixYt+fV3B\nwcGSrJ07d84vP1RMTEZFRUlTW/CmLfgSPF+rEdH7CFw2DSvgWzUW5/GdbhaErKSkhC1btsipz2ef\nfRb4Oc5LfH7Pnz+P1WqVQxZhYWEoiiJNcbVaLXa7HY1GI2X/QCB7AAH8vRAcHCatOK677rrL5Lr/\ndNsXf8Tx/ohtQYz+l+sR0meHDh3+zxW+AFH7DfCVJK9GLF++nPXr15OSkkLz5s154YUXuOuuu2jR\nogVpaWl069aNadOmERsb69ebt2DBAmlPAv59ezNnzmT37t00a9aMiooKPv/8c+rUqcMdd9yBzWZj\n06ZNMq5o3759KIrCyJEjpUSpKApffPEFO3bskKQgNDSUiIgIysvLef/996mqqsLhcLB//35ZVVu9\nejWxsbE0bNiQ6OhoDAYDQ4YMQavVMnXqVNxutyRjqqpy+vRp6RnXqFEjXC6XX+O/RqMhNDQUt9tN\nSUmJ9JJzuVx+Nhnw8xSooihcuHBB3gu3201FRYVf+oDvtKbVasVoNMp+N/FLefbsWb9qme/rxcCH\n+NkXYh2XBrP7/sHgdrtJTU31W4PD4UBVVb9QZWHLcSkZLC4ulgkF//znPwH/YQrftV46RBFAAAH8\ndfFHyJ0B/HcRIGp/A8TFxfH5559z7NgxcnNzWbVqFSkpKbz55pvs37+fnJwc6Wl38803y2oJeAcl\nxHCE72PR0dEsXbqU1NRUPvroIwoLCzl37hx33HEHlZWVRERE0Lp1a5YuXSplwqioKFRVRa/XU1JS\nwt69e4mOjvYzoIWfQ9JFhWnSpEnExMQwfvx4Vq9ejUajIScnR9qHiNDyvLw89Hq99INzu92UlZUR\nHBxMcHAwSUlJl9ldhISEEBwcjMfjoaqqyi9zU0Cj0cjhBYBevXqhqqqUVhMSEvz80y4lLtXV1ZIo\nud1uOUDhcrlk7iZ4K2Bt27YlNDTUbx1iIAC8JO22227z2+9rdCugqir79++X99X3cZvNJuVdnU5H\nSkqKnBxVFIXw8HAaNmwoyduRI0fkuS9FUFAQP/7442X7AwgggL8e9PrgP1zq88XVIj0GfNQCuGYg\n/PC2b9+OVquVlbJWrVpx4sQJWrRowbx581BVlby8PPr3789NN93E7t27+fLLL2ncuDHXXXcdW7Zs\nYciQIQwfPpwuXbqQlpZGbm4uKSkp/PTTT7z66quYzWa+//57Lly4IImQxWLBbrfLEPdFixbhcDi4\n8cYb2bJlCwkJCZw5cwar1UpoaCjff/89JpMJg8FAaWmp7Pe6/fbbWbp0KQANGzbk6NGjhIWFoaoq\nVVVVeDweXC6XJE7CpkL0iInkBwExqQpeIiOqZjExMdL7TJCk+Ph4CgoKAC9xE35uvtDr9bKC5Xa7\nSUpKkiTK4/FIgutb5QoJCSE5OZkDBw6g0WjQ6/XY7XZ0Oh01a9aUqQlut5vz58/79R6KvjmPxyPl\nXd9EB1+MHTuW9u3b/+bPTAABBHC1QufnmQZX15Tk3237qvdRC+DvAeGHl5aWxrJly/z88EJCQsjP\nzyckJIQ9e/bwwgsv8Mwzz5Ceno6qqrzyyiscP34c8JKWr7/+msjISDQaDUePHsXj8fDII4/IXrGj\nR4+SnZ2N2Wymffv2smKm0WgYOXIkqqpSVFSE0Whky5YteDwevziq0tJSnE4nlZWVFBUVyd4sX78x\njUZDXl4ewcHBhISE+FXGXC6XTMq4FMeOHZMmuL6B6uJ14ti+MqfY3rt3r5/VxaVkyNe0F7ykLS4u\nTiYUALJvzlcidTgcUpIXhBa8cVXnzp2TSQmCmPmeQxBup9OJy+WS1+A7RSpwpQnZAAII4K+Iy3+/\n/whcWlW7GvB/DkG/yhAgagEAsGLFCmmSK7B06VLuvPNONmzYQPfu3QGvJHrs2DHq1q3Lxo0bWbdu\nHW3atCE9PZ1HHnmEiIgI2rVrR1xcHAsWLJCGva+99hqdO3eWiQExMTGUlJSgqirl5eXEx8djt9ux\nWCwcOnRITmwKTzGRIuFwOPB4PGg0GmmSGxISIitQaWlpGI1GdDodqqqi1WpJTEwkKSlJ9qa53W6K\nioqktCgmHXNzc/3uiSBGl2ZpPvjgg/I5IlnC13MN8EtJ8E1LEMcRgwAitUPA4XAwefJkv3UIYuhr\nPpuQkCC3ffvPgoOD6du3r9wvzulrDlxRUUFlZaWctBUWMeJxrVYrr0VEewUQQAB/ZQT9aVOeIsXk\njzre32U7IH1e5VixYgX9+vXj0KFDNGrU6Bef98477/DQQw9Jr67evXuTnp4uQ7j/EyxcuJBTp07J\nYPedO3fy9NNPU1BQQEhICK1bt2bmzJlXdMcHbzbr7bffTnp6OpMmTQKu7IeXnZ3N7t27/XqvLsWs\nWbPo06cPXbt2ZcKECcyfP59Ro0bxySef0K1bN5577jlKS0t5+eWX0Wg0VFdXo9PppBGsCGUXPmYR\nERG4XC4SEhKkpJeUlMTevXtJSEggPj6eo0ePUlZWRnl5uV9KQHBwMOfOnaNPnz7Sz65jx440btyY\nDz/8ELvdTkJCAnl5eX6VMoPBQHx8PHl5edJMFrykad68ecDPBryiL660tFSa8AqiKfI+L8UvTXqC\n13vNN8ZK+JvpdDpZtbNYLJjNZsrKymTWqtPp5LvvvpOk1mAwYDQaKS0tlVOxgKxOigqaiAITiIiI\nkOdfvXq1JMQBBBDAXxMmk7dH9c+Q+q5Gw1zRoxaQPq9xXKkCJZCenk5UVBQzZsz41WO8++67fo3k\nq1ev/lWStnLlSg4dOnTFx3yrMhcvXmTQoEFMmzaNw4cPk52dTc+ePf1c7QWSkpKkBccbb7zBu+++\nS0pKCq1btyYxMZGUlBSaNGlCfHw8s2bN4vz583Tp0kXmb0ZERLBixQrAGwmVkpJCz549Za/WzJkz\nefzxx9Hr9axevZpx48YRFBSEwWCQhCYhIYHy8nL0ej16vZ7du3cTGRkp7TI++ugjKioqKC0tlYQp\nLy+P77//nnPnzrFr1y5JYM6ePSub+oW8V1RUxMKFC+U1Z2ZmsnDhQmw2G6qqEhkZKR8TBGrgwIFS\nLhQTqwI2m01Wo0SSAngtSETFz2q1+r234CVI4liXRjOJiVutVktxcbE8X0hICGPHjgX8/dYKCwvR\n6XSEhoZiNBr9HhMk1Wazyfdcq9XK/FaTyUTdunXl831l0ZiYGD+SKHzbAggggL8uhB1HAH9NBIja\n74RvBcoXgvQ0aNBAhou73W6efvppUlNTSUtLY/bs2VckPUlJSTJOaMaMGaSmplK3bl0UReGnn35i\n8eLF3HrrrTz44IM0b96cHj16yHghEckE8N5776HX62nSpImsmvTv35/Y2FhKSkq44447SEtLo127\ndjidTlauXElMTAy9evXCarVKY1pRyalZsyZWq5U33niDmJgYTCYT5eXl9OzZE7PZTKdOnfj000/J\ny8tDURR69uxJaWkpe/fu5bHHHsPhcJCWlsbo0aPR6XQMGTKE3NxcgoODad++PXa7naCgIMxmM9XV\n1SQnJ2O1WrnuuusIDg6mqqpK9loJJCQkSLIhKlfgnVwFL1lJSUmRhOhSwjFlyhQ5Gblnz54rvr/n\nzp0DvL1bvucW06qC1AmiJ3I4RQVNyJu+BsNiQvRSCHnV7XYTFhYm122z2Zg2bRpw+VRmUVERDofD\nb9JVpDiAtxInpj0HDBggf3755Zcxm81oNBqCgoKoXbu2XK84h3iuINwBBBDAXxN6/c8qyp8h9QWy\nPgPS51UJQcY2b95Mjx49mDRpElarlZEjR5KZmSnlr8jISF544QV27dpFREQE+/bt45NPPmHr1q3M\nnz+fKVOmEBQURElJCaNHj5ZVseDgYMxmMzVr1qSqqoqwsDCee+45Nm7cSHl5OZmZmaxevZobb7yR\nt956ixdffJF169bhdrt55ZVXWLNmDREREdx55514PB5Wr17NY489xoEDB8jLy6N79+7s27ePjIwM\nunfvzj333MMtt9xCbm4ub7zxBl9++SXbtm3j1VdfZfz48fTo0YPy8nKCg4PJz88nOTmZmJgYmav6\n9ddfM2HCBBRF4fPPP2fp0qXo9Xq6d+8u+8Xy8/Np06YNn3zyCRkZGaxZswZFUSgqKpKDABcvXqRG\njRrExcVRXl5Odna2JDVCfhRTliUlJZKYarVaSUi3b9+OTqfDbDb7xXWdPXuWBg0acPToUex2O++/\n/770HbvU9NZms8ksT0VR/CpOiqJgNpspLy8nJiaG/Px8CgsLURSFmjVryuZ7X8LkWz3T6/UysUBA\npByIdXTu3Jns7Gwp84r9vhLq7bffzjfffIPL5ZKPR0dHU1lZKc/ncrkkkT916pQcvnjqqadk75rH\n45FrdjgcMmO0a9eurF27lvvvv/8/+M0IIIAAri5o/SY9rxZp8lrYDkif/2OsXLmSnj17kpiYSI0a\nNcjOzmbOnDmEhYXRsmVLXnjhBbKysrjlllsoKytj27ZtPPTQQ2g0Gr744gtGjhzJoUOHqKqq4ttv\nv2XPnj0yOFtVVWw2G7fccgvbtm3D5XKRmprK9u3bufXWW4mLi6N379784x//oKysjO+++45Zs2ZR\nXl5OZWWlrM5lZWXx4YcfkpGRQd++ffn++++xWCzo9Xq2b9/O4cOHeeSRRyTBEVFD06dP5/Dhw6iq\nyrfffktKSgo7duxAVVWp++/fv5/Dhw/z+uuv43K5mDBhgl+w+K5du6iqqmLcuHGsXr0ah8NBamoq\nP/30E1qtVhrBisqc7/RlYWEh27dvJywszM/wVUxxulwuaUUhKlWC4Go0GknoysvL/aYY3W6335So\nL4kT/XaKotCgQQPA+0sWHR0tBxDAKwuK/i6n0ynTE/R6PUFBQX4WHnXq1JHXJQxno6Ki8Hg8fiRN\nPO5L1HJzcyUpE9cE+CUlCEmzadOmsgpWXFx8WS6oIG179uzxS0LwJac1atTAYDDQsGFDed61a9ei\n1+sDU58BBPAXRkbG+j/9HIGszz8fAaL2O5Ceni4NZAcOHMiSJUvIzMykb9++ZGRk8Morr6DRaFi8\neDHffPMNYWFhHDx4kOLiYg4fPkz79u354YcfcDgcdO3alZYtW7JhwwZJCLRaLSkpKaxcuZK2bdti\ntVoxmUyUlpZis9k4ffo0+/btIzExkfr16zNmzBjCw8MxmUz88MMPJCQkoNVqCQ8PJysri23btsmp\nv/z8fKqqqjh//ryc1hk8eDBarVYGjYsv8Z07d/L4449LovDDDz8AMHr0aMrLy0lOTsZgMEgJVVVV\nPv74Y+rUqYOqqkyaNMlvuOHjjz8mLCyM1NRUhg4dSllZGWfOnJHkQKvVyqSEsrIy2SslZDhfedDj\n8dC0aVPA31aiqqoKjUYjj+nbu2c2m2XoOfwsYRYXF0vyIkxkT548Kc8fFxcnn+d7TEGQHA6HDJwH\nLxGKi4uT6xaTk0FBQbhcrssGOi6N9Tp9+rSf95o4n68ViJBlO3bs6He8oKAgeV0GgwGTySTXKI4T\nFxcn12o0GmUKw5kzZ+Q5UlJSsNls8vUBBBDAXw1BV40UeS1uB6TP/yGECWxubi6Kosim9VatWrFp\n0yaGDx/OnDlzaN26NfPnz2fs2LFERkYya9Ys9Ho9/fr1k5WXqKgoVq1aRVJSEgDJyckoioJer2fF\nihXEx8dz/fXXM3fuXB566CH+9a9/YbPZZHVOGJ2C/5d9t27dWLVqFVlZWRw8eJCIiAgeeeQRBgwY\nQJ8+fahRowb169fHbDZTUlLCfffdx5o1aygsLGTu3LmSyDz88MO89957cr3Dhg3j7bff5q233sLj\n8ZCZmYmiKGRmZmI0GrFYLLz33nuyN8tms8kMyvLycnm+ixcvsm/fPrlus9lMRUUFHo9H5lv6Dj5c\n6j0mSJgYrLiU6PgSN9/HJkyYwIcffkhubi5hYWGysiVSEnx7xyoqKjAYDNhsNr/cUfBWoAoKCvzO\no9PpqFGjhuwX2717t7T3EK8vLi6WFVNfmEwmKisrJYmz2Ww0adKEgwcPotVqCQoK8qu4+d6f6upq\neX+CgoJISEiQBFwQSAEhFTdr1oxWrVrx+uuvy7U4HA6/it3Ro0dRVVWmFgQQQAB/LZhMYf8Vqc+X\nqFwt0uPGjRvp3LlzQPq8ViFMYE+ePMmJEyf8TGDT09O58847yc3NJScnB/A28UdFRVFQUMDYsWNZ\ntWoV6enpUqK89dZb6datm1+kkFarZdCgQaxbt45p06ZhsVhYsmSJrKKIL+yoqCjZx+T7hWw2mwkO\nDmbixIm8+uqrlJWVMWfOHEwmEx07duTIkSPcdtttlJWVER0dTffu3WUVbvbs2aSmpqLVahkzZgz9\n+vWTx33nnXfQaDSEhISgKArV1dW4XC5pnyHWLgiBoiiysiQmJA0GA+3bt2fEiBGyUidIh5AAL4Vo\ndhfPEUSwqqrKzwRWvNa36b5WrVry+TNmzJAkxm63y/vYvHlzOnbs6HdOj8fjN5jgC1Ht8oWqqhw7\ndkxeg9PplO8x/GyxcenxFEUhMTFRPpaQkIDH4+H8+fPSrkSQKRGQrtfrZXXPd5jF6XTKz4i4T75E\nXsRgrV+/XlqV+MJgMMh716lTJzweD3PmzLnseQEEEMDVjqDApOffCAGi9h9CmMD6on///pw4cYKb\nb76ZJ598kokTJ3L99dcD8P/YO+/AqMr0+3+m1/SEhBAgISACoSV0QUJHAemKssqKKAKCAtbVtVcE\nQURQ2UVRugqIVGmh9w4JECCFEkivM8nU3x/zfV9mAq6766rZ3875B+6de++8c2fkHp/zPOdMnDiR\nv//973Tp0oXatWtz7tw5xo8fT5MmTZgzZw5ms5n8/Hx69+7Nd999JwPHIyIiGDt2LMuXL2fkyJFk\nZ2dzxx13YDabGT58OBcuXGDhwoVkZGSQmJjo03ckbB7Wrl3Lxo0biY+Pp3379rRt25Y5c+YQHR3N\nkiVLpJlsXFwcOTk5qNVqqqqq2Lt3L1qtlkcffZR169bRqVMnNBoNtWrV4oUXXsBut6NSqYiOjiY8\nPJxatWrJXMwHH3yQ+Ph4+vfvj9vtJjU1VZIUIf3t3buXlStX3kJchF2HgCBy06dPl/tEkoGAIDER\nERFSAhTkBzw9b8Lqwm63S9ImCCfAyZMn2bNnj893arPZ2L59+8/+DoSZLHikWW/CKPavX78elUqF\nTqdjwIABqNVqSZyqHysgiKTwXxMVW7fbLfsAReQVeIiod/VR3A+3243NZvMhrd7DCTdu3JD3Tezz\njtES+Z7+QHY//Pjvg/BN+z2kPm/UFOnRn/X5P47bmcBOnDjxF8/78ccfb9l3//33c//999+yv7S0\nlO7du/Piiy/Su3dvhg4dCsDo0aNJS0vDYDAwcOBANBoN48ePZ/z48Tz88MNs2LCBHj16sHXrVmla\n27p1a0aPHs2CBQtQKBRMmzaNSZMm8e677xISEiKnI2fMmMEnn3zCo48+yqJFi6isrGT9+vUEBQWx\ncuVKnn/+eW7cuMFHH30kH94ipeDQoUPUrVsXhULBkSNHCAkJkYShcePGnDlzhmbNmnHp0iUmTZrE\nvHnzbpmkFIMYeXl5pKWlER4ejs1mw2KxMGDAAHnsu+++K/veREam6OkT/WUOh0NOLzqdTklkvE1e\nxUQn3My/FE3/ogdOrFGpVNKwYUMyMjLo3r07mzZtksMN4lrh4eHodDqsVitWq9UnGsrpdLJ69erb\nRki5XC4ZBSXuhejD80Z12w1x7WvXrqHT6aiqqiIiIgKTycSVK1fk57RYLPKa3kMMYnpWSM1KpZKw\nsDCuXLkizwNPr54ffvjx3wODwSyraTVFivxf3PZLn/8D8I5tEpg4cSJz585lxowZnDlzhuPHjzN+\n/HgAevbsyaRJk2TDf0ZGhpTKJk+ezKlTpzh16hSTJk0CPPKXt2w2depUpk6dKu03rl27JqWyp556\ninPnzlFUVERVVRX33XcfgYGBZGVl0blzZ8aMGUNubi5qtZpHHnkEs9nM008/jUaj4d1330Wj0RAR\nEUHDhg0JDw+na9eutG7dWlbSjEYjFRUVnDx5UoadV1ZWotVqCQwM9JEKX331VVkV865OnTx5UpIL\nrVbrQ4gEsfQ2hRXJA3q9XlbHFAoFDz30kLyGeE1Mamo0Gvbs2SOrVKKyJ0x1i4qKZJ9bWFiYHIwQ\nBBCQaQvenmXeFTHvgQSlUonBYMBkMkmSptVq6du3r7xudHS0JG15eXlkZmb69M4FBgYSHx/v4+Xm\ndru5++67USgUstrocrkkSRPX1uv19O3bV5I5P/zwoyZDw8yZM3n33bfknt+jguT3UfNX1Pz4JyHy\nGv9ZiMqgN6ERlcGFCxeSkJBASkoK5eXlKBQKgoODOXDgAN27d2fXrl04nU6eeeYZdu7cyfHjx3G7\n3ZhMJkaMGMGmTZt47bXXiIiIkCQlLy+PjRs30rdvX86cOSOJiOidOnnyJCUlJZIUKBQKWRUTRO2L\nL75g8eLFZGdnU1paSkBAAAaDgby8POk9l5OTQ3R0tM91ateuTXh4OKdPn5Y+aeDpB8vNzUWhUBAV\nFcW1a9fQ6/XSO02lUuF2u9FqteTl5flUAQFZfROVPaVSiclkory8nPz8fOrWrSsTF4KCgmRvW58+\nfdi1axclJSWYzWZJTr3Rvn17du/efUu6gcvlYuPGjfK+CHKlUCgICQmhqKjolp46EYNlNBqxWCwo\nlUoiIyN95FTxO2jWrJm8Ty6Xi9DQ0H8r0swPP/z4veGuURWl//Vtf0XNj/8YvGU3bwQGBhIYGMi3\n337L5MmTGTVqFA0bNuS5555j6NChPPbYY3z99dfs3LmT/v37U1paSnBwMF27dkWpVMqH+1133UXt\n2rV58MEHSU5O5sKFC4wYMUJmYYaEhHD8+HHq1q2L0WhEp9MRFxdHZWUloaGhTJs2DfAQiWeffZbj\nx4/LBIDi4mIKCwulcW5eXh5KpRKz2SxJp0KhIDk5mfDwcFwul49dRXp6us+EKng88qKjowFP/1Zg\nYCAhISG3zesUPXFBQUGAR070NujNzs6WXmbC4V+hULB69WoKCgpwOBxYLBYfPzhx/u7du2/7vXj3\nkYmqF3hIm/gsBoNBVhvLy8tlT5sgfS6Xi2XLlqFUKmVVT1QdRSRaYGAgTqeTvXv3+njk+eGHHzUP\nHusi+y8f+BvA76P228NP1H5n/KOMUG/MmjXLxy6iX79+/7YE9dVXX/HGG2/47HvmmWeIiYm5pfoC\nnurcq6++ysGDB+ndu/ctVTchv3755Zf06NGDl156CYVCwT333MN7770n5dcff/xRyq9PPvkkTz31\nFMnJyURHR1OrVi3ZOxUXF8eNGzek75gwq7Varbz44ovo9XpZsSspKZHkJDo6WkqJjRs3ljYWqamp\nvPHGG6jVajQaDTt27JAVRHFPxeRqfHw8TZs2JTo6msjISCorK8nPz0elUjFs2DBcLhe5ublSIvSW\nVcV68/LyAE+vmiBRJpPJ596KnE2xT6vVSnuVpKQkn9fg5oRndXh/F3q9ntTUVLnvxo0b0v5DELXq\nwwuAnCZ1uVw4nU4foink4by8PPR6vY+M6ocfftRE3HyM1xTp0b/9n5U+/UTtd8bPZYRWx78a2P6P\ncLsG9jVr1tC0aVN27NjB9evXGTFiBA0bNqRNmzb069eP+fPnyypTs2bNOHLkiDz/8ccf5+zZs4Cn\n8iMqLt5RTpmZmXzzzTe3rGP//v2Eh4fTuHFjmjZtyiuvvEJGRgYdO3bEZDIRHR1NUlIS9evXR6lU\ncuLECd555x0UCgVr1qwhODhYEo2LFy9K2fHq1atERUUBHrNWg8GAw+GQCQIBAQEEBwdLwqVWqxky\nZAjnz5/n7Nmz9OzZk4KCAhYsWEB4eDgKhYLw8HASExMJCAigqqqKevXqSZKpUqlo3LgxgJR4O3fu\nLMlbnz59bvtdhIaGEhoaitPplKTKOzHB20RXQFTKAJ+BBKvVyvbt229roCumXsWErvc1nE4nH3/8\nsdwuKyuTcq/3tbRa7W0riX744UfNgcFwM8GlVatWt8hvv/W2N/6I97/dtiBGf+R6hPTZuXPnX13h\n8xO13xEiI3TOnDksX74c+HWB7c2bN5cP3MzMTJo0aXLbwPbqSElJoWXLlowePVp6v3Xv3p3Nmzej\n0WhIT09n8eLF8vgvvviCGzduMH/+fMDz8F+/fj07d+7EbrfTs2dPWrZsyZkzZ+T1r1+/zrp162jS\npInMwrx69SqlpaXMnj2bXbt2kZ+fz0svveSztoqKCpo2bUpWVhZlZWV07dqVNWvWYDAYSE5Olsaw\nQvYTEUlWq5WMjAzUarUMK1coFDRp0gS9Xk+jRo0oKyuTUqnb7Zb5qr179+bjjz/G4XDw3HPP4XQ6\ncTgcHD58mDZt2lCrVi2qqqrIzs4mKyuL4uJiafgLN0lZamqqlDGF3YewGyktLZV9d8IzTxwrKnLg\nIVmCCApER0f7DDwI2Viv1zN+/HgfQi8qaIJIG41GgoODpWWLQJMmTYCbJF7841I95UCQXz/88KNm\nYv36Wx0F/Pj/C36i9jvidhmhX3zxhYyEOnHiBCNHjmTixIlER0eTkpIiZUTxQD1y5AhfffUVBw8e\nZP/+/cyfP1+WWi9cuMBTTz3F6dOnCQ4O5vvvv/d5fyG7fvbZZzzwwAMMGDCAVatWodFoeOKJJ3j6\n6aeZMGEC48ePp3nz5oAnImv16tVUVFSwZcsWGjZsyNdff83KlSul59eWLVs4ePAgBw8eZOrUqUya\nNImqqiqSk5N5/vnnqaioYPTo0Wzfvh2tViuJ1I0bxruQsgAAIABJREFUN7DZbDJ3U0iO+/btw2g0\nolKpMJlMnD9/HpvNxvHjx2nevDkWiwWXy0X9+vVRKBSEhYVhNpvl4EJxcTEajQadTofdbpdh8hER\nETLEvLy8nK5du0obErfbTWhoKFevXpWRSuvWrWPmzJlcvHhR3kPRcyYCzcFTYezcuTOFhYWSTAvj\nWafTiV6vlwHwIlgebvbFhYSEyOs3bdrUJ6EBPIHqIplAqVTStWtXuQ7vwHdv6VKsTaPRUFBQgM1m\n86mO/elPf5Kfx+VycezYMfn+AMHBwVRUVPhMyvrhhx81BwEBIcycOfMPl/q8UVOkR7+Pmh//NpYu\nXcrkyZOBmxmhmZmZjBs3Tto3eD+0veF0OnnsscfYtWsXWq2WYcOGMWvWLIYMGSJzRuPi4mjRogUA\nSUlJt3hgLV26lHvvvZeNGzfy5ZdfSqlR9EPt3buXVatW0bBhQ9577z3mzJnDxx9/zIEDB7hx4wbj\nx4+nuLiYsWPHMnv2bN59913A07iZlpYmQ+dfeOEFwCPXbtq0CYPBgMViYe3atdSpU4c77rgDo9HI\n2LFjmTBhAq+88goff/wxPXv2pKSkhOzsbFq3bk1qair79+/nyJEj9O/fn+HDh3P+/Hnpu3b06FES\nEhIkcRMyqJAU27Zty/r164mKivLpiQNPaLoYShAIDg6mT58+LF26VJI+72s6nU7ZgG+32yUZGj16\nNNnZ2Wg0GkJCQm5JLqisrJTfr6iKeSMnJ0fuO3fuHE6nU8rIwuDXO+1BGPFW7y/0JlViAlRMzgLS\nbw1uxlqJa4oJVjHEICK/vI/zww8/agYCAkIoLS28hQDUpKnH//Vt/9TnfyFERuhjjz1GXFwcH374\nId9++60Pefg5uN1ucnNz6dKlC4MGDSInJ4exY8fK5nHxkNfpdCQnJ3PkyBGffjHw9DwdOHCAIUOG\nUF5eTkJCAnFxcaSmprJhwwZatmxJZWUlc+bM4dq1a7z44ouAR3a7evUqtWrV4scff+TNN9+kuLiY\n+++/nwsXLhAWFsbChQtxuVwkJCTw/PPPk5mZSe3atZk6dSpvvvkmarWatm3b8umnn2I0Grly5Qon\nTpzg+eefx263s2bNGp588kny8vKorKzEbDZz9uxZ1Go1c+fOZfr06bjdboqKimjatKmsJnXq1IlW\nrVphsVhkdUmQDoVCwZkzZ9iwYQMul4vr169L0hEQEMCVK1dkhUrIfWISEzyVqNDQUOLj43E4HISH\nh0sZ0zvhADyys9lsxuFwyOlOASEdClJ3OzNbsV8MTBgMBtq1awcgJVLx3t7TmwLekqb4LRQVFflM\nhQI+1TdvsigGMkRSg9hXUlLC+++//7ODDX744ccfg5oUD1W9qlYT8GsrWDUNfqL2O+HnMkJbtGjB\n559/Lh/eIgA9ICBAyl+igvLnP/+Z7OxsAgMDOXDgAK1bt+azzz5j1qxZ9OnTh5KSEpkOMHfuXJYu\nXUp8fDwrVqzgp59+wmKxMGXKFOLi4vj+++8ZP348gYGBknjceeedLFu2TGZNgqdR3uVykZeXx+zZ\nszl27BhGo5GFCxdy5swZ6fbvcrkoKCjgm2++QaVSkZOTg8ViYdWqVdhsNjZv3swnn3wiPcNiYmIo\nKipCrVYzatQoKb2Fh4fz97//Hbvdjs1m4/PPP6egoIDGjRtjtVo5fPgw4OnFOnHiBGvWrKG8vByb\nzYZOp5P+bGq1moEDB/LII4/4RFSBbwyV92Sj0WiUpM3hcFBUVCR7vUQIuyBcwj9NXEfIoaJ/TAw8\nCOImiJZYm/g7IAccwGM5UlFRwd69e+U+q9XqQwzr168P3KyECcuRkJAQmWIhXvcmdeKzmUwmoqKi\n0Gq1tGzZEkD65Yk1Ca+1l19++XY/Zz/88OMPgYKZM2fKrZogNYoWmJqynpqy7Zc+f2esXr2aIUOG\nkJaWJif9fg6PP/44U6ZMkc3aAsuWLZNVKoGhQ4eSlpZGvXr1aNGihewVGz9+PMOGDaNTp040adKE\ngQMHolarmTp1KufPn+fpp59m2rRpLFq0iNDQUFq1asXBgwe5cuWKtIG4fPkyrVq1Yvfu3URGRlJa\nWkq3bt3Yt28farVaNuYbjUaUSiUajYb9+/fLCp9oSq9Vq5YkG3a7HbVaTUlJCZ9++ilmsxmr1Uqn\nTp0Aj4TXpUsXKRXOmTOHwsJCHA4HWVlZNGnSBKvVyvHjx2V/VnBwMEuWLKGqqgqz2UxeXh5DhgyR\nFUGHw4FWq6W8vFyeI8xbvWOe4GbFyGAwYLVa+fbbb32OFyTR5XLRp08f1q5dKyOWwBObJIiNRqNB\nqVQSGhrKlStXUKvV2O12FAqFrDxVVFSgVCrp378/GzduRKFQSMLduHFjzp07J0mgGIAQJrpiHeI6\nAgkJCaSlpREcHExBQQEajYaWLVuSmpoqjxHEzu1206NHD7Zs2QJ4Bha8ryWgUCjo2bOn/MfCbrdT\nWFiIzWbj5MmT8jjxvQnExMT4SKd++OHHHw3lL05d/t7bNW09cNNHzS99/g/hn7XUAJg/f/4tJA3+\n9Uiou+++m6SkJLZu3YpCoeCJJ56gZ8+e9O3blzfffJN27drRpUsXaR+RkZFB//79OXHiBAqFgrvu\nuouioiK0Wi1hYWG4XC5OnjyJ0WgkPT0du92OVqtFrVYTGRkpK1pCNhQWF3PnzgWQREqtVuN2u9m8\neTMlJSU4nU5q1aoFeCpVFRUV8mGfn59PTEyMbKbft28fJ0+elITGaDSSn58vK4dhYWEyBUEQnPz8\nfDIzM+natauMWnK5XOTn51NZWSltLrwhJFBxDaVSSWxsrCSftWvXZsOGDfJ4cX6jRo1kJmtlZSV6\nvV6SVLPZLJMUKioqJCFSKpX88MMP2O12KWuKMHrxd+9MUZEbKiCmOAUuXryIy+XyCZI/fPiwD4H0\nrsh5B8c3aNDA53OJ64vvS/SwGY1GSXq947i880uDg4Np2rSp30fNDz9qFPx2Of+L8BO1X8DtLDVS\nUlJITk5m+PDhNGnSRE7QgYfJHz16FPA83J9//nkSEhLo1asX+/fvp2vXrsTHx/Pyyy+jVCrZtm2b\nJGVJSUns27cPgBdffJFdu3YRExPD6dOn2bZtG1OmTOHYsWPSIuL7779nzZo1sqKVlZWFyWRi+vTp\nHDx4ELVazYEDB6RP1gsvvEB8fLwkDHa7HavVSmlpKR988AFKpZK6deuiUqm4fPkyLpdLNtxHRUVR\nr149OTVpNpvRarVERkZy48YNwENuDAYDSqUSnU6H0WgkIyMDq9Xq44qv1Wol4VCr1dSuXRuTyUR2\ndjZBQUGyJ0utVhMQEEBZWRlLliyRJEIQQ1EpE3KdwKBBg3zIm0KhYPDgwbL6lpmZKQcDxLkqlYpj\nx47JqlxERARFRUU0aNAA8MiPogIWEhIiSW5cXJz0XBMEymg00qxZM/n+3utzOp0+Qx4idkrAarXi\ndrvl1Gh1iO8GPMTv4Ycflu9bPUHA+x54r+Gll17y6XkzGo04nU5q167tU+VLSUnx6X/zww8//kho\nmDBhQo2R9sS2P+vTL33+Q/ySJJmcnMyMGTOk8/u/g+qWGh999BFhYWEcP36c1NRUateuzV133cXe\nvXvp1KmTT5O2xWKhR48eTJs2jSFDhvDqq6+ybds2zpw5Q9euXenfvz9bt24lKyuLrKws0tPTGTFi\nBG3atJEP44KCAoYNG8bmzZvJzc3FYDDQvHlz3G43Op0OhULB1KlTCQ4OJisri/LycoYMGcLRo0fZ\ns2cPy5cvp7i4GLVazapVq3A4HCiVSt5//31mz54tm+rffvttue64uDgZfzRr1iwAOnbsSEpKCnfc\ncQepqalkZmai0Wi4du2aNEZ1u91YrVbUajUul4uqqirq1q0rhyEEBBkSf3qHgRcUFAA3Y5A0Gg0W\niwW9Xk9sbCzZ2dkUFhZKchEcHIzVavUZyti4caOUGF0uFzqdjrfe8gQVq9Vq7rnnHn744QfcbrcM\nhPeuwMFNb7O0tDTgppVGt27d2L59OyaTCYvFQkZGBm63m/z8fElyKisrfSYwxX5AEl3v14Qkq9Pp\naNy4MSdPnmTgwIGsXLkS8PTRifevrKyU0qvb7Wbp0qVy3dWnSd1uNyEhIT6Sr1iDkJbFd+adGyqO\nuXz5sk+Yux9++PFHwpOLXBOlRv/2rdt+6fP/8EuS5O2sEP6d9xg+fDjgsdRYsGABWVlZtGvXjujo\naBQKBa1atbrFCgM8clKfPn34/vvvWbVqFQkJCahUKmJjYyktLWXOnDl8++23FBQU0KJFCxITEzl6\n9CirV69m2LBhOJ1OnE4nTzzxhCQTV69exWaz0b59e4KCgrDZbBQXFzNhwgTat2+P2+3miy++4MiR\nI1itVubNm4fBYCAsLIxLly5x+vRpXC4XI0aMYNq0aYSEhBAUFERlZSVut5usrCzmzJkDeHqWTp06\nBXj6oqxWq2ySVyqVhISEyGxN7/scFBQkbSyuXbvGtWvXZDXLW+YT50RERGAwGAgKCsJsNmM2mwkO\nDkaj0VBYWIjL5aKiooLMzExMJhMOh4OKigp0Op183Zv8VFVV+fSCdevWzSdSaceOHXLKUlzHm0x5\nQ1xDrFsQSYvF4jNZ631+aGgoJSUlPtcZOXIk4DtMIO6rOLeqqorTp08DnoEB78EGca5Op5N9Y2q1\n2qfiJXzoANq2bSsNdoXMHRwcDMB7772HWq3GYDCg0+nkn97fobdc64cffvzxcLvttxCDmoCauCZ/\n1mcNwe0kSavVyogRI2jatClDhgyRlYLPP/+c559/Xp771VdfydDuRYsW0b59e1q3bs2TTz4pH5pm\ns5mpU6eyYcMG+vXrR/369XnnnXdIS0tj3rx5HDhwgEuXLpGcnCxtHfLz89m/f798D4fDQY8ePRg3\nbhwNGzZk+fLltG/fnhYtWqBQKKhXr56sKo0bN04+kK9fv07Pnj1JTk6mTp06HDlyhIiICPlQBQ9h\nsNvtDBs2DJVKRX5+Punp6Wi1WkpKSnjmmWcwmUzY7XZJ8goLC6lTpw4ajYbGjRszfPhwLBYLH374\noayuuN1u3nrrLcaOHYtarZZrEpWbc+fOSelUVJ2Kiop8MiwLCgrkMU6nE5fLhUqlQqVSERYWRq9e\nvVAoFGi1WlQqFVarVcqjISEhmEwmcnJyiIyMBDxkITg4mIiICEmAQkJCSEpKktmdarWasLAwwENo\nvBvjz549K4maxWK5peHeO8QcbvaN6fX6W0LLz58/D3h6uNRqtZRPg4KCJLnxXotY/4oVK+R1xD1V\nq9WEhIT4TKMKH71vvvlGEjrR0yaqlN6VMe88WK1WKytgR44ckd+nWIMgeOXl5VitVho0aMC8efOI\niIiQU6tCIhVr9O6n88MPP/4oeHpJa4q06N/+5W2/9MntXf5TUlIwm82kpqZy6tQpEhMTUSgUDB06\nlI4dOzJt2jQAVqxYwSuvvEJaWhorVqxg7969qFQqxo8fz+LFi3n44YexWCzYbDaeeOIJAgMDCQwM\n5OWXX6Z27dp07dqViooKGjRo8A+rdi6Xi4ULF9K5c2dCQkK4ceMGBw4coE+fPmRlZdGsWTMKCgqo\nqqri888/l6StZ8+eTJs2jc2bN0uy0rp1a86cOYPD4aBt27ZkZGTQsmVLUlJSUKvV6HQ6ysrKiIyM\nRKFQEBAQQEVFBZMmTSIkJIRp06ZhMplITEykvLxcRhVt3ryZjh074na7GTBgAD/++CO7d+/m5MmT\n6PV6H9lMPPTF5KPFYsHtdhMZGUlOTg5wM6NSVAOFyao4Pyoqii1btuB2u6lfv75MHRAVOG/5TQwq\nXL9+neLiYmrXri1fKyoqko304jOLXrk6deqQmZkpJcP09HSfKpbBYKB+/fqkp6ej1+spLi6+pRdL\nTJwCMtzdarUyduxYmcPq7UtWWloqien169cliVUoFERFRfH6668zduxYn8lQQY6FbGswGORr3n5s\nwiJEXE8EqoNvxcvpdErJVewX96D6UIDL5eLMmTM88cQTPtYf4rpKpVISbD/88OOPRUCAWf69pkmf\n3kSlJqwHbvaR+6XPPxjVJcklS5awa9cu2djfvHlz6dIfHh5OgwYNOHDgAAUFBZw9e5ZOnTqxdetW\njhw5Qps2bWjdujXbtm2TcUZarZYzZ84wePBgH5f/+vXrs2fPnn9KUlWr1ezYsYO+ffty5coVKisr\nadSoEZs3bwY87u8BAQE4HA4yMzNlg/rWrVtp2bIlCoWCnJwc/vrXv7Jjxw6MRiN16tQhLy8Pu93O\nrl27yM7OplOnTvTu3Ru1Wo3FYkGj0XDp0iW0Wi0mk0n2ahUWFhIWFkZ5eTmNGzfm+vXrNG/enLKy\nMqqqqvjpp58Az0N6wYIFqNVqgoODMZvNhISEoNFoCAwMpFatWiiVSpYuXSqHCbyrSZmZmbIqJXy6\nRKRTZmamJBFiwEAMONSpUwelUkn37t0BTyRWrVq1iI6ORq/XS8NaQWxat24tCdr169fldSMiIoCb\npFGlUqHVaqlTp4687+J77tSpEyqVShIUrVYrr+M9ICAI1Keffiqv6Y3mzZv75GIKrza3202jRo2k\nNUt1KVH0CIKn0iWqXoGBgfIY7/8ZEMMaCoUCjUbD+PHjZRXN6XT6THGCR04VxwsolUq6desmr200\nGlGr1TRq1OiWz3Xy5MmflYX98MOP3xYGg5nt27fXKINbP35//FcStZ9z+Yef76kZMWIEK1asYOXK\nlQwZMkTuF2arx44d4+zZs7z66quAh1gISw2lUikrEk2aNOHjjz9mzZo1gIeYPPvsszzyyCNUVlYS\nFRVFYmIiAGPHjpWEMjo6mhdeeIG4uDji4uLYsmULV65cIScnB71ez9SpU1EoFNSpUweXy0VZWRlR\nUVE0atSI8PBwhgwZIit4gwYNonnz5hiNRuLj44mOjubgwYM88MADPqHajRs3JiQkBKfTSWVlJcHB\nwZw9e5aIiAgKCwtZunQpwcHB1K5dmy5dumA0GjGZTPTv35+ysjJKS0tp3749DoeDe++9F51OR1hY\nGAUFBZSWlvKnP/2J/Px82rdvT1xcnOyhGjFihCQ4YnpxwoQJUpYVZOCFF15Ao9HIhvyLFy+iUCjY\ntWuXrDydPHmSa9eu+dhwaLVaFAoFR48eld5kJpNJOugLeVLYpKhUKklYBATx2r59u5SDAenkHxgY\nSGRkJA6Hg4EDB97Si1Y9HaBhw4Zy+latVnPnnXfKa+7Zs0caGSuVSh9ZtG7dunJdIjxdoVD4+MO5\n3W5pamuz2aQnm1arZe7cuT6VPXGe+HPo0KFMmDBBHiOqcWK6GG4mMqSnp8v4KoHIyEifqS4//PDj\n94KGd999y6diBdQYaa/6WmrKeo4f92d91ggIl/958+bJfcnJySQmJrJkyRK6devG6dOnfcw8Bw8e\nzNtvv039+vWlBNqjRw8GDhzI5MmTJXkpLy+nXr16P/ve3okB4ClpHj58mDZt2tzyQKusrGT79u2c\nPn2a4uJiZs2ahd1up127dqSnp9OjRw/AY+eQk5ODVqulsLCQ6OhoSRgHDBjA7NmzZYM93OzZatq0\nKQcOHGDdunUMGTKEunXrAp6HcXx8PF9//TUWi4XU1FTcbjcWi4Vdu3ah0WhwOp2sWLGC0tJSWblr\n3rw5e/fuRaPR8MUXX6BWq7l48SI2m40HHniA5cuXk5GRgVKppFGjRqSmppKVlUVCQgINGjSQPVS5\nubloNBqqqqpkFezzzz/HarXK7Ey1Ws3kyZNxOBwEBARI81qHw4FGo5GkTKPREBwcTGBgoBwmKCsr\n8yHkSUlJVFRUkJCQwMqVK6XfmpjYtNlsGI1GOQigUqkkUXO73Vy/fl0Sm6CgIMrLy9HpdFJyTElJ\n8ZEEq8cv6XQ61q5dK0meUqmkefPmcjDAuyLVunVr1Gq1XIsgRi6X65ZcTjHpKbJSxfHimqGhoVKi\nFftFX6FGo8Fms5Gamurzu+zUqRN79uyRn9dutxMYGEhZWZlcp7fMPX/+fO677z788MOP3xcBAeYa\nIyX6t//17f956XPZsmUMHjzYZ9/QoUPJyMigvLycpk2b8tprr9GmTRv5uiA22dnZcn+TJk14++23\n6d27Ny1btqR3794+8pqAt/Q0YsQIPvzwQ5KSksjIyODZZ59l3rx5JCYmUlBQII9TKBRcvHhRxkZd\nv36dkSNHolarOXfuHG+++aZ8uJrNZubOnUv9+vXZu3cv9913Hx999BFXr15lz549zJkzB7PZ06Nw\n+vRpNm3aRIMGDUhKSqJRo0YMGjSIfv36AZ4H9fLlywkKCiI5OZlFixaxadMmtFot7dq1IyYmhh49\nekiPsn79+jFixAguXLjAnj17cDgcrFmzhkcffZTAwEDy8vKIiIigfv36OBwOWrRoQUBAAK1atWLx\n4sW0bNkSi8Uie7IMBgOZmZlykKNdu3YoFArGjRsHIPvMlEqlJJ5FRUXYbDZCQkJk4LmASqUiLy+P\nnJwcnE4npaWlPiTNYDBw5MgRUlNT+eGHH+TwAvgSJO/Geu/vMzg4GL1eL6VCUbkrLy+XVUFhbyJe\nF1Ou3u8FSAJvs9nYsmXLbfvIjh49ysGDB33OEZ9XJESAx/BYSJpWq1XKquJaoaGhaLVaqqqq5O9I\noVDQvHlzuQaA1NRUn8+7Z88eeW/E/pKSErlWjUbj07O2ceNG/PDDj98XInS9esXmu+++qxEVK+9t\nv4+av6J2W2zbtu2WfWKK8x9BuM574/777+f++++/Zf/XX3+NUqkkLS2NoUOHygzFTp06cebMGZ9j\n27VrJ2OjhF/XqFGjWLhwoSSUer2ezz77jGbNmpGWlobBYJCxUWIKcdiwYfTu3ZsmTZpw4cIF6tSp\nQ9OmTRk5ciS5ubksWLCADh068PjjjzNp0iQyMzPZsmULX375JQAzZszg0UcfJTExkVOnTnHs2DE2\nbdpE8+bNWblyJYsWLeLYsWMcOnQIp9NJSUkJs2bNIj4+Ho1Gw6hRo1i+fDkJCQkcPnyYmJgYTpw4\nQZs2beSkqsPhoLy8nNWrV7N9+3afSo/RaGTQoEEsXrxYSmy1a9fG7XazaNEiNBoNffv25e9//zs2\nm00SW2FLEhQUJCVCQBIR8JUaRayVy+UiODhYDjJ4S4AqlYrPP/+ciRMnyqnS6uRbZHN6Ey6RcarR\naHwGKcxms6zUVVRUSPlR+JBVx9y5c3n11Vc5c+YMDRo04NKlSz5TtALeE6hxcXFcvHgR8JDXevXq\nkZ6ejlKp5MqVKxgMBhwOB3a7nYiICPLy8mT1UQwmCP898Rlr167NtWvX0Gg02O12OdzRvn17Dh48\nKH3mxP0TMVne99EPP/z4PaGSPWnVKzZ+H7X/nu3/ZEXtv5Ko/R7w9mh7/fXX/+Gx8+fPv+3+XyKU\nM2bMADwPaPBUUQ4dOiQJpbc7/eTJk5k8ebLPtWJjY33k3alTp/q8rlAoqKqqkiSsrKwMg8GAwWCg\nffv23HnnnWRkZKDVarnzzjsZN24c8+fPZ+LEicyZM4fY2FgaNWokUw4MBgNnzpxBrVbzyiuvEBYW\nxtSpU6msrKR58+YcOHBADiSIio8gIiLzc9GiRXTv3p3t27dLUlC3bl2OHDlCZWWlD5nRaDQMHz6c\nZcuWySQBQUoEscrLy5NkRLwuopzGjBnjE3xus9mw2+0+ZCkyMtInk1On02Gz2aioqJDyrUKhkCRN\nvL/wk3O5XLhcLkmExLTkQw89JAcCLl26JN9PpVIREREhK7fx8fFcunQJg8Hgc9z+/fslSRLEyZsQ\nXrx48bbxWcJbTbwmiKeo2gky2759e+rVq8e3336L2WyWUqz4jALVe/H88MOP3xo/HxNVEz3LauKa\n/D5q/wP4rWKjBAHLzMz0iY0SMpWIjWrdujWzZs0iJSWFAQMGAB6iM2jQIFq2bEnHjh2lEe3rr7/O\n6NGj6datG/Hx8XzyySc+n2X9+vU88sgjmM1mzp8/T0lJCXFxcbRr1478/HxOnz6NWq3m1KlTjBw5\nkhYtWpCWloZOpyMrK4v4+HhCQkJQKBSUl5eTl5eHSqXijTfeYMKECbKPKikpCYvFImW0wsJC8vLy\npO+ZyMK0WCxs3rxZEiO32y0HM3Jzc6X8KULQd+7cKeXGiIgI3G43/fr1k/84KBQKSSaMRiNBQUE+\nn1+QjqSkJEl4RC8ZePrYvImbIEfeVhdialQgICAAs9nsQxhFtUq8h81mIy8vTxJRkV8q/OeElGq3\n26XhsHf1ytvDzZs4ieqXqKB5y5Tg8eATx9SvX19Oh8LNGCmtVsuCBQvkAI43SauOrVu3/uxrfvjh\nx38eWu3NgbCaIiX6t//17f956fO3xu082sBz439NbNSoUaMYMGAAkZGRbN68GZ1OR3p6Og899BAA\nH3zwAdOnT5eEzvvLfe2110hKSpKS48CBA8nMzGTChAmcP3/+/0a4S2ncuLEMdgdPE//777/P8uXL\niY2NpV+/fvTr14+0tDSsVivvvvsuVVVV1KtXj8WLF7Nz507++te/0qxZM44ePYrD4eDuu+9m0aJF\nwM2cTbgpHwKsXLlSBrabTCY6dOjA1q1bOXz4MODpJdPr9T7SpoB3L5fIAhXVI0GibDYbXbt2Zd26\ndSxfvlwSndjYWDnlabFYZN+V8CcTwwuHDx8mKiqK7OxsmjVrxrPPPsuDDz54i/WE3W6nW7du7Ny5\nU67Nbrf7+LBVVFTccl5sbCxXrlzBZDJRWlpKSEiIJK2iv058Ru+4qsuXL1O3bt1b7ouQXb3vD/jK\nu+AhkYGBgVJG9paLva0/vK9jNptlD57I+rRYLAQGBso+u/DwcPLz8391socffvjxz8NgMLN+/c0W\nndtVq2qa9OlNVGrCesDvo/Y/geoebUuXLkWhUPxLsVHg8dbq1q0bKpWKhIQEebzNZmPMmDG0aNGC\n+++/n7S0NFavXk1ycrLPA9obe/bs4eGHHwb143TxAAAgAElEQVRgyZIl5OTk0LdvX06dOkW/fv3Q\naDSEhYVRq1Ytbty4wahRo4iNjcXhcNC+fXt5nXXr1vHcc8+xYMEC3n//fcaMGYNKpWLv3r0yOzIo\nKIgZM2ZgMpk4ffo02dnZ6PV66tevT0JCAuAhbCKwvHHjxgwdOhSHw8Edd9xBnTp1OH/+vIyagpth\n4wJ169ZFp9Oh0Wh8KklOp1P+uMFDWDQaDUqlkjFjxsj7J6piDodDhprXq1fPpyHf7XZL0uJwOKSP\n2smTJ3nyySdvuccKhQK73U5KSopPtUycLyAa8b3tPkRgvSCYInVBSKXiWLENHpkyMDCQrKwswDPc\nIipg1YPmq0MkIlRWVsowdmHjIUih+NNut/vc4/LycrRaLaGhoVIeB6S8K7zV4B9X2/zww4//HNxu\ntw9J88MPAT9R+z+sXr0apVLJgQMHbvFoW7FiBU8//bSU+QCfnEdveEtRSqVSSmbeXmwzZ86kdu3a\nvPXWW3zzzTdUVVWxdOlSOnbsKHuKbgdBdLp3705lZSUTJkzgzJkzMhT92WefJS0tjR49ejBnzhxO\nnz7N9evXiYuLo7y8nG7dulG/fn35YP/ggw+YPXs2NpuN8ePHk5SUxOXLl7lx4wbPPvsslZWV5OTk\nsHv3bqqqqrh8+TLZ2dmAh2iJoPVLly7JAPHCwkKaNm3K5cuXcbvdUtYVU6MCN27cYMCAAXL6VPR8\nNWvWTEqIIlUiJCSEqqoqXnrpJXm+uNalS5dkRJaI1RLfT0BAgCRnDodDVvdiY2MZMWKEJC+C9In7\ne7tpTW8kJSWhVqsZO3as3CcqcIJgPfbYYz5eaII0eRMmh8Ph0wOWlpYmyaI3SRTEzZvACQsNjUbj\nU/Xyrsx57/e+XpMmTSgvLyc3N/eWaVjxuQW5/EdWNX744cd/Akr53+AvSWti38+9/kdsV1/bH72e\n48f9Pmr/30IMD7z99tu39WjLysrycYv/NSgtLSUmJoZVq1ZhMplwOp0cOHCATz/9VE6gpqSk8Mwz\nz5Cbm0uTJk1wu90sXryYF198kcceewy1Ws2hQ4coKChg6dKlzJgxA6fTKas006dPp6SkBL1eT2Ji\nIseOHePo0aNYrVYOHTqE0Wjkb3/7GwaDAZVKxYYNG4iIiJDRRRcuXJDkQgwg6HQ6WfE7ffq0bLTX\n6XS88MILjB07lmvXrnHq1CmfqcpWrVpRVFTExo0b6dOnDxaLBafTyQ8//CCb+7t3787+/fvZt28f\n8+bNY/fu3ZSVlWGz2ahduza5ubk+k5biHorIKbfbTatWrdi9e7ckGWVlZT5GtYJEX7p0iQsXLkiC\n69207527qVKpsNlsMmVBpVJRWVkpjXaXLl0qv1OTyURFRYW8J9V7BQUJqm49Iq4v3jcqKorr16/7\nTMA6HA4GDx7MqlWrfMijWq0mLi5OSr9wkxCKe6JUKjEajYSGhkqSLfobvYcvwDO9vH//fhQKBYGB\ngXJa1A8//PjtYDAY5d9rinTo3/71237p8z8M7+GBbdu2MXjwYJ+A96KiIhmTdLuA9/T0dMAT8G6x\nWGTAu+hHMpvNvPLKK1gsFjp27MgDDzzAvHnzWLRoEYsXLwY8th/Tpk1DqVTSuHFjFi1axIkTJ8jJ\nyeGRRx7h+vXrzJgxg+DgYKxWK40aNeKDDz7A7XZz6dIlTCYT5eXlOBwOCgsLGTJkCHa7nfLyciwW\nC0FBQfLBPHDgQJKTk3G5XJSXl0ufs0aNGgFIt39Ahqbn5+eTl5cn5THvqlN5eTlTpkyR98Q7zsnh\ncJCRkUF2djadO3eWU6DC8kJMTh46dEgGgy9dupTS0lKcTidLlizhxIkTgG/PlcFgID8/32edJ06c\nkH1u3r1t3okGYipTTIYqlcpb+r5EIHv1ipioqIr3EJ/FO0xdvO59TW8ptno2p3g/73tXfZ/b7Wbl\nypW3VPjsdrsc1vg5iO9YkDSAsLAwed+913Tx4kUZoXXhwgUAGcPmhx9+/Db4V+TO6hWsmoCauKZf\nW8GqafATNXyHB5KSkggPD2fevHky4H3RokXY7XZmzpzJ0KFDWbVqFZ988gmPPPIIK1asYMWKFRgM\nBlasWIHNZuPYsWMolUri4+OZMmWKJGhOp5O7776bLVu2kJ6ezsMPP8yCBQu49957eeyxx1AqlYwb\nN4777ruP++67D5VKxYABAzhw4AAOh4Np06ZJS4+cnBz5gC0qKqKiooLBgwcTHBzMwYMHmT59OuCZ\nEhwzZgxXrlyhrKxMVnZcLhd9+vShT58+GAwGjh8/Lp30TSaTnBh0u900bNgQpVKJ3W7HZDIRFRWF\n2+0mMTGRxo0bo9PpiIyMJD4+HoVCwcyZM6V0qVQqiY2NpV69enJbXHfWrFlERkbicrlYtWoVRqNR\nhpOLjFBRsQOYMmWKzAFt27Yt9erVk7FN3oRLVITAQ4befPNN6YPm3Vsm/NO8J1DFn8JGRafTERQU\nhMvlkueJP0UUlNPplDIweNINqqqqbpnQFOHu4jN16NBBni8ghimq9yp6y5jeJM67h0wMeogYMTFc\nAPhMrYpKm1qt9tlfVlYmTYhFJc7vo+aHH78NAgJCmDlz5r8krV24cKFGSIve2+J/6mrKemrKtl/6\n/A9j6dKl0qNMBLxfvHiRp59+Gvj5gPeGDRvKgPc5c+bIgHfwdZPXarUyOSApKUmGsoNHBhUxUzdu\n3ODs2bNotVratGmD0+lkzpw5dOjQgXr16qHRaHjuuecAz4Sj0WiU5KSiooJVq1ah1WplwDx4qjmT\nJk1CrVZLA9rLly/LTE1BDA4fPixJhHg4azQaoqOjeeihh/jwww8JCwujQYMG3HPPPbz00ktcvnxZ\nJgWUlpaSn5+P2+2WXmoiXqldu3ZSSi4vLycwMBC1Ws3nn39OUVERbrebxx9/XBKgM2fOkJ2dLauR\nISEhZGdn891335GcnMy2bds4fPgwrVq1wmAwoFAoiImJkcMPKpWKtLQ06tatKytf4j55kyIB7wB1\nEcckYsaElFxcXHxL4oE3SXI6nZKACiLkdDqJiYnh2rVrPkME4JnePHToEOAhg94eaT/X/yggXlMo\nFCQkJMh/GER1rVOnTmzdutWnWiY869xuN3a73adnTuyPjo6WUrK4D02bNv3Zdfjhhx//HkTyQPUH\n+C9Ja8OGDfuXjv89tmvaFCrc9FHzS5//AYgG/nPnzv3D42bNmuXzIOvXr59P3ua/gq+++oo33nhD\nbhcWFrJp0yb69OnzDwPevVnzvxPwLuA9VJCamsqePXtkzFTnzp358ccfiYuL4+uvv0alUlGvXj0C\nAgJwOBxs3LhR9pAFBwdjMpnklGCnTp2Ii4ujpKSEnJwcGetRXl4u5T+RJ+lNJoT3mUqlkqSrvLyc\nLl26yIzMzMxM3G43OTk5HDp0iJUrV+JyucjLy6Oqqkp6honpy8zMTKKiouRUYklJCR07dgQ8Bq9C\ncluzZo0MGy8sLJTVnMjISEmcKisrJSFKT0+XKQwWi4Xjx4+zb98+3G43ZrOZGzduAJ5A9fDwcPn9\nnT9/XpIrvV4vCaFolA8LC6NXr15yv1qtlhUsh8PhYzzsDdFvJnrYxPtZLBZZqcvJybntBKeIBAPo\n1auXT8VMqVT6/INcPV9UwO12M2nSJJ9twEfmFGv0Jm1Ckgd8THNbtmwp5d6AgABCQ0NZuHCh7Gnz\nww8/fh22b9/+f1ZKhX/0Uvz4L8IfStS83f//ET7++GOf6bh169b924391R943377LQaDge7du/Pl\nl1+SnZ1NXFycDHgHT+O899Tc4MGDWb16NUuXLmXEiBGAJ+D9u+++k5mXhYWFPg/M2yEtLY0dO3bI\nmKnY/wt4Hzp0KFu2bJESV9u2bSkqKmL//v3079+fevXqkZyczJUrV1Aqleh0OlmF02g0REZGSkJn\nNpuJjo4mOjoagJCQEEkcV61axd133w14yE1oaKgkCSKN4fLlyxw9ehS1Wk2dOnVITEzkxIkTqFQq\n1q5dC3iIs6gggachvnv37pIArF27lqtXr2IwGIiIiJCfv2fPnrLPq2XLliQmJvrcbzEBuX37dsBD\nMGJiYuT53r+JjIwMevfuLe+9Xq+X7++dEOEd+C5C7HNzc9m4caMkKU6nUxrnqtVq1Go1sbGxANJS\nJDQ0VE59ip60mJgYNBqNJOJBQUEkJCQQFBRESEiID2GzWq3yN3Xs2DGfIQaXy8WuXbvksSIKSsBb\n+kxJSZHbYs3eVUOxz9vkt127drcljyaTSR5vs9mIiIjg2rVrMj/UDz/8+DXQ/GppzZ/16c/6/F0h\nGvh37txJnz59eP3113E6nbzwwgts2rQJpVLJ448/LmNwunXrRkREBFu3biU2NpajR48SGhrKRx99\nJKssY8aM4emnnyYzM5N77rmHLl26sHfvXurUqcMPP/zg87AS+Oyzz2jevDmjR49m6dKlJCcnM3To\nUHbu3Mn27dv55ptviI2NlQ+2ESNG8Mgjj9C0aVPS0tKYM2cO9913H4MGDeLOO+8kNjYWl8tFZGQk\nK1as4NKlS1itVoYPH87p06eJiIigYcOGzJ49G6vVSnZ2NsOGDePEiRMsXrxYBnaL/qm4uDgpnRUX\nF1OvXj02bNhA3759MRqNKJVKrFYrMTExrF+/HofDQUVFBcuXL5fGptHR0cTGxnLjxg1KS0tp0KAB\n586do3///jgcDkJCQmjYsCHp6emSdAgZTavVkpOTIyceL1265NMLFh0dzY4dO3C5XLLqefDgQR9Z\n0GQy0b17dxYuXEh6ejo9evRgx44dnD17FqfTSZMmTcjPz5c/ZiEFCvLyxBNPyGs1b95cxl7Z7XZJ\n1srLy1m2bBngITtNmzaVlaD333+fyZMn43Q6CQsLo6KiwideCXztK5RKpZy4FETS2wNPJCyIQRAx\noHD16lWfKmxcXJyMiCovL7+t+SxAo0aN5KDEmDFjWLBggY/06XQ6fUipNxFbvHixJIciNUL4sun1\nejn8UVlZKde5b9++WyRgpVLJsmXLfPzpDAYDb775Jn744cevR0CA+VdLa/6sz/+e7f8K6fOXZM22\nbduSlJTk4/7/xRdfkJ2dzYkTJzhx4gQjR45k4sSJREdHk5KSIuNsRFXsyJEjfPXVVxw8eJD9+/fz\n0UcfST+vCxcu8NRTT3H69GmCg4P5/vvvb7uONm3aMHHiRAYMGMD69etxOp1MnDiRqqoqZs2aRVRU\nFJMmTcJoNJKYmEj79u3p168fTz31FKmpqWzbto1+/frxt7/9jfbt21NRUUFxcTERERHUqlWLL7/8\nEr1ez8cff0xqaioOh4MxY8YwadIk2b9UWlpKXFycnFycMGECPXr0YNSoUWRkZPDggw8SEBBA3759\niYyM5KmnnmLp0qX06tWLXbt2odfree655/jyyy8xGo0EBATgcrm49957AU/1ZuvWrdjtdkpLS2WI\n+XvvvceMGTMoLy9Hp9NJ6XDTpk0yv7SwsFBOj2q1Wrp06SKb1IcOHUpRURGjRo2SsqV4v6FDh0p5\nb8yYMXKa8cknnyQ3NxelUkmzZs1kZTQoKEj2ikVFRWE0GqVMKaZDAXbv3g144raEAXB1CJlXXPv5\n55/38cATTf6i4ikiqwS8BwdUKhUxMTE+HmOAT+STqP716tVLXiM4OJizZ8+yefNmysrK5HnC5iM0\nNFQe26pVK3n9BQsW4HK55HcByEEOscbq05/e/wPidDplb6TdbvepQAqZOTAw8JbKsgh8F1VJt9vN\nkSNH5CSwH3748e/D08f76+XOmpirWRPX5M/6/CfxS7JmXl6efLCJBv6tW7cyduxY+ZD0tjyoDrfb\nze7duxkyZAgGgwGTyURwcDDr1q1DoVAQFxcnBwCSkpJumyJgs9nYsGEDAwYMwGQy0b59ezZu3AjA\n3r17efDBB1EoFD65nleuXMFgMLBo0SI2bNhA165d0el0/PTTT3z99de0bt2aDh06UFhYyIULFxg9\nejSdOnX6xUQDbyxbtox27drJbYVCwd13383evXupXbs2KSkp9OrVi6NHj/Lkk09KEicsMkSM1e7d\nuzGZTOh0OtlDlZSUJNMFnn76adq0aYPD4eDQoUM0bNgQhULBgAEDWLhwoXSoj4iIwG63k5ubi9ls\nxuVyERoayt13343NZuOLL76QFSKNRoPBYCAgIED2Ry1btkw2ty9ZsoRTp05RVVVFVlaWbPxPT0/n\njjvuoGPHjpw9exaLxSLJlbc0KCpEFRUV0sKjOjQaDVevXpV9jBEREZLk5OTkYLVaJREEZKXN+7fl\nPRnasmXL25rfimqbUqmU/YTgIWMTJ06ksrKS0tJS1Gq1dPqPiYnB5XJRUFAgr/nyyy/L6csLFy7Q\nunVr3nvvPZ/1COsVAUE2RaXVGx999JH8u5CTve9dWVmZz39bopcQPHI4IL3ohDzshx9+/GsQU50z\nZ86U+2qKNOjf/u23a7z0eTtZ02q18uijj3Ly5EkaNGhAUVERb775Jq+88go2m42QkBDatWvHxo0b\nWb16NZ988gmLFi3ik08+4dq1a0yZMoUFCxagVCrJysrinXfeYfny5SgUCsaPH8+FCxc4f/48V69e\n5cCBAygUCpKTk5kxYwYqlYqCggLi4uJ4/fXXOX78OPfddx9ZWVlcv36dZs2aUVBQQGVlJdu2beOr\nr7667ecSDfD9+vVj48aNOBwORo4cSWZmJj/99BOdO3cmOzubOnXqsG/fPvR6PX379pVJALGxsYSH\nh7Nu3To++ugjbDYbQ4cO5fLlyzz33HMy+FypVLJo0SJKSkp8AsutVispKSkYjUbOnDlDv379OHbs\nGJWVlYwbN44dO3ZgsVhISEjgrrvu4uuvv0apVJKZmYnD4ZCxQUK61Ol0DBo0CLfbzcMPP0xBQQFp\naWns3LnTp8dLyKCVlZVs2LABlUqFXq/H4XCg1+uJioqiQYMGHDlyBKvVitVqlVYlCoWC8+fP061b\nN1JSUuSUp1qtpn379uzZs0f+ZsRronlekLB27drJPrWYmBgyMjKYP3++JF8ajQa1Wu0zcFK/fn3K\ny8txOp1kZ2f7WHBoNBpsNps832Qy3RKV5E3M1q1bB9zsH/P2rFMqlURGRlJYWCgzYZ1OJ7NmzZJZ\nmmazmYSEBHbv3i1JukitqKysZMCAAfL9pkyZwtGjR/nLX/4i319MgWo0Gkl+AwICqKqq8pFQxfu9\n/PLLch0//PCDfN07QN7blkPs9465EhU3v+GtH3786/h3pzp/abv6vpog9XkTlZqwHvBnff5TuF2o\nubcvWVJSEm63m7Vr13L27FkiIyNlBWzRokUy/3LRokXs3buXxo0b43A4ZE+Q2+2mXbt2rF27FpvN\nxty5c2nZsiV6vZ6//OUvrF27Fq1WK728bodjx45xxx13sHjxYh566CE+++wzSkpKUKvVTJ06lQ4d\nOsieJ/G+e/fuJT4+nkcffRSDwcCWLVvo27cvgLSAOH78OMHBwcyZM8cnJBw8lbGAgADeeust7r77\nbgoLC/n000/Zv38/r732GpGRkWRlZfH999+TmJhI3759mTp1KgAPP/ww8fHxnDx5kpYtW8rKodvt\n5uWXX0alUrFgwQLuueceDhw4wLPPPiv9tCIjI6W0lZqaKtMP2rVrJ20ntm7dKptC8/LyyMnJkdFN\nderU4c9//jPBwcHk5ubidDopKSmhqKgIl8vFxYsXSUlJoaysjMrKSiwWi4+xbG5urpQ+Q0NDMRgM\naDQajh49KitDLpcLm82G3W6XZrRiv4h+gpuWGKWlpbLxPSQkxKeyptFoZI9ZdVsMQNpTiAb9iooK\nH+lTp9MRHh4ut0U1zOl0otfrJSEU8VTXr1+nqqpKErXOnTv7+LNVVFSwb98+VCqVXLNOp5PDC/v2\n7ZN///7773G5XHKa2GAwEBISIoPcBXEqKCi4pedSeMp5k0zhreZ9rKjCeX9mhUJBnTp1fIyM3W73\nLw7E+OGHHx5i5na7/VOdfvwm+E2IWvVQ8yVLlrBr1y4pIe7atYv4+Hjgpi9ZUlISGRkZWCwWnnzy\nSXr16sX+/ftp06YNhYWFfPvtt7z22mvyPXr37k3r1q255557mD17Nh06dOCOO+6gfv36wK3TndW3\nu3XrJvvLfvrpJ95//33uuusubDYbxcXFTJkyhU8//ZSrV69y7do1GRk0fPhwevfuTXFxMWazWT7s\nGjRoQIcOHUhMTGTnzp3Mmzfvtl5YcXFxgKcpPjExkSFDhvDAAw+g0+l49dVXGThwII0bN2bHjh1s\n2rSJa9eu+fRXgYc4rlixggsXLpCQkMCGDRvkvS0sLCQqKorAwEBeffVVRo8eTWBgIM2aNcNoNFJW\nVsa4ceMAj0Tatm1b1Go1GRkZsgIm/NlERerkyZMsWbJEVvvUajXFxcVkZWXJa4l8SkGyvB3zBwwY\nwNmzZ+VxVquVqqoqcnJyZC+WdzXM7Xaj1+vlvfU2cBXETqFQyKb53NxcdDqdJCOVlZU+RKlt27by\nnHXr1knrj+TkZPm78J6CrKqqkusSwxoCVqtVksK8vDzZz+ZNyK9evSqb/1UqFb169cLpdPrcF7FG\n8PSziXNjY2NRqVSy4mW1WsnLy5PESZxjMpnkfREQCQ7ewwRC/vWOrhKB84L4id7Ay5cvy2OEvYno\nCfTDDz+qQyOlTUHMfmtpTez7ra7/72xXX9sfvZ7jx/1Zn7+IwsJCaeAq5CuFQkFiYqKPXUJSUpI8\nZ8SIEZw+fZqOHTsSGhrK9OnTmTNnDteuXePdd9+95T3MZrNsxh4wYABKpZIvv/ySRx99FIVCQWxs\nLCdPnqRXr164XC6mTp3KlStXWL58ubxGUFCQj9y1cuXKWxqn9+7dS1xcHG+99Ravv/46MTExrFmz\nhrfffpvQ0FAKCgpkn5Jer+edd97hnXfekQ36gYGBREVF8fjjj8trTp8+XfpTJSYmykzIuLg47r33\nXpxOJxs3bmTx4sWoVCri4uL44IMPcLlcfPrpp4DnYf7VV18xYMAATp06xZAhQ6RkmJGRQXh4OEuW\n/L/2vjwsqnr//zVnFhiGEXASlMUFUALZI5HEEElREyTgFmglWal5s7RNK7tZ+rRcWq67XruKlb/M\nrW6WSoRoJeGKSOCWgogbgojsMHPevz/m+XycA2hcv8VQndfz8DyeM59zznvec8bzmvfyev8/HD58\nmEt4GAwG9OjRA5WVlZyUREVFoX///jh27Biqqqqg1Wrh4uKC3r174+DBgxgxYgSysrL4tICamhr+\n75aWFly/fh0bN24EYE67TZgwgTdtsPRofX09iouL+ftnaTVmr2XqznLmJVPxr62t5ZInRCQZ62QZ\nOWL1Vyw9adnRefbsWX6tqVOn8q5S1i0M3CBqbB2TG7HUH7O0z5L433HHHZLi/0uXLvF0pclkwo4d\nO/hrzD4igkaj4e+Hnbe8vLxdJFipVHJyaDAYUFFRgYaGBk5kVSqVhARa2shIpiiKPDWampqKDRs2\ncLJGRFAqlejRowcnduxcHXVKy5AhAwCo26T65O3ut92tU5+bN2/mAq5sxmNHumRHjx7lx/xWumR6\nvV4ihMt0yZhdN0NsbCwWL17Mt/Pz89utyc7ORnBwMMrKylBSUoLS0lIkJiZi69atN02v3godFacD\n5pSes7MzlEolcnJyeHREr9dzMtIWw4cPx/r160FEuOeee1BbW4s777yTC8aWlJTg+PHjqK6u5g9m\nURSxdu1apKen8zShQqHA9evXYTAYYDQakZubyyU4GhsbodPpYGtrizfeeINH0OLi4gCYyYJlPZTJ\nZOK1cJbRHBcXF/j6+nLCAtyYleno6Mg7KY1GIycZlsSD6bCxOre2YE0T7NwKhQItLS28M5OlEdla\nBssuTnYcuw5LN7K0LWBOtzKSdfnyZX4uQRBw7733Sq4fHR3Nz8vOxUiaQqFAU1OTRGDXZDLxYn9B\nECTTAVgqUxRF3mnLiB8D+8/BsrOUNY0AZv06k8nEZ58C5s/L8rvDznezek0ZMv7KMKc6W7s8YiPr\nqMk6ar8JNmzYgLlz50r2JSUlIT8/H6dOnYJCocDo0aP5qCXAnPrx8/PDd999xx9Yvr6+WLhwIUaP\nHg1RFKFWq7F8+XI+M5LBMvqQkpKCJ598EkuWLMHmzZvxwgsvYMyYMVi8eDGSkpIktWKW53jttdcw\na9YsBAYGQhRFeHp68iJ+y/dlKUxbWlqKpKQkLFu2DDt27MDJkycRFhYGvV6PwMBAKJVKBAQESN4n\nw+uvv84fzqzhgdk0adIkxMXFwcPDA3q9Hr6+vgDMkZRhw4YhICAA48aNw4wZM/h7mDFjBp566ilM\nmTIFNTU12Lp1Kx8Hdfr0aTzwwAM4f/48evbsCZPJhMrKStTU1MDT0xMTJ06UjKVqaGjgna8sWnjl\nyhW0traipaUFNjY2+Ne//sUf5CtWrIBarUZwcDDy8vJgY2OD5uZmKJVKuLi44Pz581Cr1Zy0+fr6\nori4WBJJIyJUV1dDr9fz99Tc3IyBAwfi5MmTXA+OiLB27VrExMTwejYGFnVqbm7m6duWlhYYjUZJ\nI8FXX30FT09PAJCkptVqtSTF6erqyn8YsHWMnALgDSLs2iyCJooi9uzZgwEDBqCkpIRPcGBgaWxG\n8hQKBYKCgpCXl8fXCILAjxFFUTIZwHJKgqenJyoqKrhNzE9sNNXly5dha2uLpqYmvo/VojEbWMeq\nJbkFzOnm2tpahIeHQ4YMGTeg1drzVGdXR2xkHbU/zvZvGVH7zYmapQo8Axtw/dBDDyEuLg6hoaFc\n+Z5h27ZtiI6OlhCoBx98kBe+W8Lyl39SUhKSkpIAmIupi4qKJGujoqIQFxeHpKQkLFiwAIB51JMl\nbG1tsXLlSr7dUW3ZmjVr+L+ZjXFxcVi/fj0GDBiA5uZmfPnll3jggQeQmpqK2NhYZGVlSdJrJSUl\nAMzRmGnTpkGr1SI6OhrPPvssjhw5wpiPNbkAAB5aSURBVHW/cnNzkZGRgUOHDvHUKGCuTTOZTDzy\nc/ToUWRkZODs2bMS+2bNmoVJkybh3LlzWLduHWJjY7FmzRq4urri/PnzSEhIwPLly1FbW4tXX32V\nP6wZUWJpr4cffhhbt25Fc3MzTwUymQ5fX19edyaKIoqKimBvbw+NRoPm5mYQEScV9fX1EAQBISEh\n+OKLL/g8UZZWtLW1RUNDA48YsmgTO14URU7Ehg8fzt8nS1NadkMC4IK0DPX19Txtec8990jSp05O\nTqiurubXZCnG8ePHY/ny5QDMY69KSkok9529vT1sbGzg5+eHH374QdLM0NLSgtLSUk58IiIi2o1h\ncnV1xYULFyCKooSkAebolo2NDf+stVotH9Lu7OyM6upq2Nra4tSpUwBuRAbbdm+KosiJYe/evXHl\nyhWYTCZkZGRwCZuzZ8/y8gTmR8sB99999x1kyJBhjqJ99dVWq9rQHTXLuqNNso7abYJJdixdupTX\nijU2NiIlJQV+fn5ITEzkavSrVq3CSy+9xI/NyMjgZO/TTz9FeHg4QkJCMH36dEk0Yd68eQgODkZE\nRAQqKiqQm5uLbdu24cUXX0RoaCjOnDmDESNG4NChQwCAyspKXtyfkZGB+Ph4xMTEYNSoUWhoaMCU\nKVNw4cIFhIaGtouwAcDp06exf/9+LFy4EIC5iSIuLo5PEjCZTJg6dSr8/f0RGxvLH5qvvfaapF5u\n8eLF6NGjB9auXQsfHx+Eh4cjNzeXv56Wlobp06dj6NChmDNnDk6fPo2xY8ciLCwMb7/9Nvbv3w9B\nEJCYmIhnnnkGK1euxNWrV7FgwQLs2rULI0aMgF6vR1ZWFi5fvoyPPvoIAHi0ql+/fvD19cWzzz6L\ntLQ0qNVqrpcWHx8PtVoNtVqNsLAwGAwGtLS04OrVq3zoekJCAmpra1FXV8cjTZbRGQZGVmxsbCS1\nX4xYsFmhjEixiJ67u7sk2sbACAojF2q1GoIgSBoDDAYDXF1d+blra2slKU9GyttqsjHhZAB81qkl\n6urqUFVV1aEmHmscYKioqGi3hokOA+0jvAqFgpN2URQ5SQNupDWbmppw9epV3s1rNBolUxqAG1pr\nADhJA4CNGzeCiHDmzBm+z9bWlpNdURT5v1mXqgwZf0VoNFp8+OGHXLC2u6T25O3uv92tU583Q0eS\nHbt37+aSHYWFhQgNDYVCoUBSUhIiIiLwz3/+E4D5wTJv3jwcO3YMGzduRG5uLpRKJWbMmIH169fj\nkUceQUNDAyIiIrBw4ULMmTMHq1evxquvvor4+HjExcVxuYNfk+woLCyEo6MjXnnlFcTExGD37t3Y\ntWsXwsPDMWrUKEmnXVFREVeVb6sdl5aWhlOnTuHuu++GQqHAvn37MG3aNISFhaGhoQGvv/46Pvnk\nEwDmWZnZ2dmYP38+nnjiCXz++edYv349b7ioq6vDli1bkJKSgp07d2LVqlWoq6vD8ePHsX79enzw\nwQcYP348zpw5g+rqaowdOxaRkZGYN28eXnzxRXh4eGDo0KHYtm0bmpqaMHbsWHzzzTfw8fFBcXEx\nj2StWrUK1dXVaGlpQd++faHT6XDkyBHur6ioKB7hYySgubkZtbW1PGKlVCphY2MDo9EoSe/dcccd\nfP6oZfSrb9++KC8vB3CDNLHjWe3V+fPnMXDgQBw9erSd9ASLSrE/BpVKhaFDh+LHH3+Es7Mzt8XG\nxoYTGUEQ+HvX6XQgIk4OmZyISqWCIAjctpCQEPzyyy/8OLZOoVDgxRdfRHp6uqQhwmg08pmobJ+l\n/Ijl/tbWVp46rq+vlzQRsIgfi2IC5sihq6srTp8+zW2wbNZo62cW0WX+tbGxgSAISElJ4RI0Wq0W\nTU1NCA8PbxfpkyHjrwKt1h4NDbW/uQ6arKPWNduyjtpt4tckOwICAvgkASbZsW/fPlRVVeH48eO4\n5557kJ2djUOHDiEsLAwhISHYtWsXf/hoNBrcf//9ANpPIrhZ4X5bjBo1ihdoM8kOBwcHREdHo7m5\n+ZbNDG2J6OrVq2E0GlFRUYGCggK88sor8PDwwMyZM2FnZ4cFCxYgOzubk5RDhw4hICAA6enpyM7O\nxptvvomioiJOlBoaGjBz5kzk5eWhvr4eWq0WI0aMQEZGBhobG7F06VKcPHkSpaWl+Nvf/oaysjI0\nNTXBzc0Njo6OeOutt/g4ph07dkAQBJw+fRqurq682L6yshKNjY2czG7evBmFhYVoampCY2MjPvnk\nE2g0GhARJyjAjVFMCoUCK1euxIABAyRRLfOv0ev8c2BERaFQ4Pnnn4etrS0UCgUv+G9ubpYQmdbW\nVl7XZtkI4OTkJPlsBUHg2mhGo1ESOe0oQmSpum/ZRQncKPo3Go0SwnPixAlJhIuNZWIjlywnHLD3\nMHToUL7PaDS2+6FgSdxYytFSBsTyXEy2gxHlM2fO8DXsNUs/M+kQy3vX3t4eSqUSzc3NaGxs5E0+\n7LoKhQJ5eXl8VJgMGX92sAg/00Hbvn2btU2SIYOjS4gak+x4/PHHMWDAAKSnp2PTpk0Abk6iUlJS\nsHHjRmzdupVHwwBzfVl+fj7y8/Nx/Phx/OMf/wAgVVC3jIAAUikFlUrFIy9t9clYeoxh69at/Fql\npaXw8fGRvD548GAUFBRAFMV2RPSzzz6DSqVCr169eA1YRyrvjKgpFAqcOHECtbW1uHbtGtRqNby8\nvPDDDz8AMHdLBgYGcsIzbdo0ODo6Yty4cbC3t8d7772HpqYmlJaWYsuWLfy469ev85owAMjJycGB\nAwd4/RKT3FCr1Zg3bx6Ptpw5cwbXrl1DU1MTbGxs4OjoyEcZAZDUeZWXl/PIEyOYlr5VqVQSmQdf\nX19OmFavXo2GhgYeAWL3g1Kp5EKzLS0t/HqWQ8MLCwsRFRUFAJxAsogYAIk0BcOJEyc48bp8+TK/\nN5RKpUT7jUWb2GsMoihCq9Xy45g9KpUK2dnZvIMWuKHf9uOPP/L1zL+WRJZ9/m3Rdg0APqGB3VOW\n6U3LzwQwkztGbi2/ZzqdDkFBQZKZoJbHWnbjdlSvKUPGHx1MoPZmI566gw5XR9tsX3expyPbrG1P\nd/n8/nCpTybZsWLFCr5vxIgRXLIjOjq6Q8mOhQsXol+/fjwFGhMTgwkTJmD27Nno1asXrl69irq6\nOj5jsSPcTLIjLCysU5IdLNWXn5+PkJAQyRovLy+EhYXhpZde4tpxJpMJjY2NqK6uhk6n4x+QKIrI\nzMzE5s2bUV9fj6ysLNTU1KC5uRmVlZVYunQpysrKoFQqsXr1auzbtw+XLl3C22+/zYvxAXDdsi++\n+AJXrlzBxx9/DE9PT1y6dAnOzs6oqKjAzp07eY2Ti4sL3n//faSlpUGhUODcuXO4dOkSJwuurq44\nefIkbG1tsWzZMp5+MxqN0Ol0fGRXZGQkrzHz8fHBqVOn4OTkxD8DAFxqws7OTlLMr1Qqce3aNS40\nyzTY2hJqS5hMJk66oqKisGfPHgiCgJ9++omHl/V6PSZOnCj5Elhel6FXr1487crem8lkkshiWEbN\n2HlYE0PberumpiaeYmTvXa/Xo7q6GiaTCTqdDvX19ZLaNEaUWMSs7Y8H5gcmw+Lt7Y2LFy/y87dN\nlTK5FEti2qtXLz7wXhRFODg4SLTVGGG7evUqKisrOZm2bNZgtkVHRyMnJ4fbK0PGHxFarT22b9/G\nH9zs/wq23V1SdfL2n2/7D5f6tJS2YEhKSkJJSQnq6urg5+eH119/vUPJjrKyMr7fUrIjKCgIo0eP\nltQIMbSV7EhPT+eTD1544QWsWLECoaGhqKqquqVkR2trKwIDA+Hv7y+ZimCJjz76CPv27YNKpYJe\nr4e3tzdmzZoFg8EAOzs7NDY24sCBA8jLy0N1dTUKCgrg6OiIkJAQzJw5k48r2rhxI7RaLUwmE5Yu\nXQqDwYALFy5gxIgRfOTP3LlzeSfihQsXuNZYUVER9uzZgytXrvDJASzSU1tbi0GDBvGOxuTkZEyc\nOBGAmbQwva7r16/z6Fn//v3h5uaG69evo7a2Fv7+/jx1ZmNjg5MnT0IURfTo0UOiZ0ZEXMpDqVRy\nf1oSAgA4deoUT/dZ1lwxqFQqDB48mH8uLPomiiLeffddAOCdoqzJhNWzMULbr18/yfXbzgUFbszb\n7Ags+sk6MNm5LAe8s5QuAK7uD9wgi5ZyH5awnGPKbGfXY8Tr3LlzkhRrR2hqapJMcLAUBgbMorV2\ndnbcN2w/GxbPyCGzh0UAiQj79+8HEbWLMsuQ0Z3BUpfsfr/dFOb/NQLye6FtBKs7oDva1F0/v9tF\nlxC1Xbt2YfTo0ZJ9M2fOxJo1a/DZZ5+huLgYW7ZswU8//YTQ0FC+Ztu2bfjll18kxz344IPIz89H\nQUEBDh48iCFDhgBoL9nB5CqYZMehQ4cwYMAA+Pj4oKCgAIcPH8aCBQt4jc/kyZMlordMsuPo0aP4\n+eefO+z6BMwRELVajU2bNqGwsBA5OTnIy8vDgw8+iMTERAQEBGDs2LHIzs7G6NGjeXrw3//+N2Ji\nYtC7d29oNBrs2LEDKSkpcHJygiAI2Lt3L59xeuTIETg7O8PGxoanSu3s7KDT6ThBWLRoEScUzz77\nLIKCggAAgYGByM7O5g9pJoKqUqng4uLCSZTRaER4eDiamppQX18v0WmrqalBTU0NBEHgUTbATAzY\nDMrIyEj+oA8NDeXq/gC4bplWq+XEyNbWlhfZtyVLRqORy6zY2tryukEAfOJAc3Mz+vXrx9N3sbGx\nEASBd/GyVChgJqv29vYAzLWQlmKylhEj1swCAGPHjuUpT9aNzPzGiKNlKpvNTLVMM7JrAuYfGezc\nbUc/sUYCZp8gCFzrjEGhULQT+I2MjIRarZboxCmVSomECSPMlj9CLOU72PxRhULBR1ABNzpp207r\nkCHD2tBotJyIsdQl2/6tUleW6avukMpj2LNnT7ey58iRI5JIUXewp7t8fn+41OefHZbacawer1ev\nXjxSodPpMGTIEK7i//TTT+Ppp58GYB4dlZ+fj0cffRSzZ89GZmYmXnrpJXz77be4dOkSpk2bBk9P\nT0ydOhUnT55EYmIiNm7ciDNnziA5ORmHDx9GfX09PvvsM0yYMAEHDx6UiKL+9NNPKCoq4qKsgPmh\nbzAYIIoib8ZQqVQ80uXg4IC3336b19UNGDAABQUFEAQBDg4OGDlyJDZv3oy4uDjs3bsXZWVlyM3N\nhVarhVKpxLBhw3DgwAEeNWLX8PHxQWFhIY9kxcbGAjDXVqnVaoiiCJPJhFmzZmHRokUgIjQ2Nkqk\nTHbv3s1Jy6BBg6DVanH27Fns3LkToijixIkTAMA1xtRqNTQaDSfyBw4cQEBAAC5dusRrCZlP7rrr\nLj5Yvba2lhOudevWIS0tDUSECxcu8Lowo9HI05aiKPKaOkbs2jZEAGaSxCJurJPTMrWalZUFZ2dn\nyQ8PQRDg7++PY8eOSe47BwcHREZGSkZUqVQq3gXKRHy9vLxQU1PDI249e/bkNYqiKPI6RVtbWz4t\noW2qVYYMa+BmqUuG37Nr8Pc8/+1uOzg4yF2fndjuDp/fHy71+WfDrUZG3WyEVmBgIFatWsUfgKzo\nXK/Xo6ysjDdblJeXY8mSJTh27BgfyF5fX48vv/wSp0+f5uQGMBNELy8vEBHc3d2xY8cOXLx4EXfd\ndRfs7OwQGBiIO+64A35+fjw6l5OTA19fXzg7O/OHtVKphE6n40Ty+PHjqKurg42NDTw9PfH3v/8d\ngFk0taioCFlZWdwGk8kErVaLu+++G3q9HoIgYOvWrZzk6HQ6HrmJjIyURORYA4JKpYKjoyPvUAwK\nCuLdk87OzvDy8pL4WK/Xo7W1FZmZmXjooYcAmFOSSqUSBoMBGo0GSqUSKpUKOp0OkZGR3O9eXl74\n+eefAZhJMkvteXt7IyAggF8jLy+P2zl+/HhOzgRBgIuLC78P3njjDQDmKBkjRqw5o7m5GXZ2drC1\ntYUoitBoNLjvvvv4eVtaWqBUKiVfYBYBmz9/Pr/PUlNTUVxc3K6Ozmg0Sh5cLDLGNNpaW1thNBpR\nVlYmGUPl5OTEo4K9evVCWFiYZLQWYI4AWjYqyJBxu7BMRbZNTebk5GDy5Mk3fV3uvpQhQyZqtwVL\nSYS2uFk93sWLF9G3b18EBgYiODiYR3KmTp2KMWPGwMnJCaWlpXB3d0dhYSF8fHwQERGBiRMnYujQ\noXjyySeRmZmJ4cOHQ6lU8ojLoEGDoFarsWDBAjz33HOwt7dHSkoKMjMz0draim+//Rbr16+HIAhI\nSEhAbm4uJkyYgGvXrqGmpgZ33XUXVCoVFixYgG+//RZ333037OzsMHnyZFRUVODKlSuYNGkSBEHA\nhQsXMHDgQJ5uvHbtGlpbW+Ho6IjevXtzMdknn3wSERERAMBT046Ojvj444/h7u4uqXuyt7fnw+Tv\nvPNOhISEYOnSpfx1g8HAm0kYkYiPj4cgCLC1tcXs2bOhVCrh7e0NjUYDlUrFa/1EUcT169exb98+\nTjqGDRuGJ554AgqFAhEREZw0lZaWYtu2bbxDdujQoZKUbEpKCgRBgLOzM68js7Gx4dIW9fX1CA0N\nhU6ng0ajwaOPPgpXV1cYjUYYDAYEBQWhT58+2Lt3L0+Juru7w8PDgxNLyy7PlJQUTJ8+HQBw+PBh\niKLIU7YsBarVanHffffxfampqXBwcOCNA/b29vyzYvesWq3G/PnzORG2t7fHsGHDEBcXh/nz52Pa\ntGkAbkQ5k5OTb3qvy/jrom3X5M1SkR9++OGvpoqKi4tv+bo1tpm8U3exh6G4uLhb2SN/fl2T+gTJ\nsDqio6MpMzNTsm/x4sX01FNP0XPPPUd+fn4UFBREy5YtIyKiJUuWkI+PD40cOZKIiPr3709VVVWU\nkZFBsbGx5O/vT/7+/rRo0SIiIiopKaGAgAB+7vfee4/mzp1LdnZ2ZDAYyNHRkdzc3EgQBEpISKCs\nrCy+NjExkTZu3EhOTk7k4uJCDg4O5OTkRADIy8uL5s2bRxEREaRUKsnJyYkSExNpyZIltGHDBtJo\nNBQQEED+/v6k1Wrpscceo927d5O3tzf5+PgQEdGoUaNIEARSq9WkVCpJoVCQi4sLVVVVkVKpJI1G\nQ87OzqTVakmhUBARUVpaGvXp04eSk5Np4sSJ9NFHH9GYMWNIoVBQv379KD4+nlxdXWnVqlWUlpZG\nOTk5ZDAYyM3NjXr27EkODg6kVCopLi6OHBwcSKFQkJeXFxERqVQqUqlUdN9999Fzzz1HAKi8vJwm\nTZpECoWCjhw5QqmpqQSAXF1dadSoUeTr60tOTk4UHR1NDg4O5OfnR4899hj16dOH2xQYGEienp40\ncOBAunz5MgEgDw8P6t+/Px08eJCUSiX16tWLiIgUCgUtW7aM1Go1ASB/f39yc3Oje++9l3Q6HWk0\nGlIoFJSYmEh9+vQhACQIAgUFBdGbb75Jer2e/vGPf5C7uzsNHjyYnJ2d6dVXXyUA5ODgQFu2bKF3\n3nmHDAYD3XvvvRQUFESOjo701FNPUV5eHtnY2NCUKVNIoVDQypUrJfclAPlP/pP/5D/57zb+bhcy\nUfsTISMjg+bPn9+ptatWraLp06dLjomKiqI333yTkpOTyWg0EhHR1atXiYjI3d2dZs+ezY9n5PDw\n4cMUGBhIDQ0NVFdXR/7+/nTkyBEqKSkhf39/vv69997j17G8ZmpqKm3YsIGvq6+vJ2dnZ2poaKD4\n+Hj69NNPiYho1qxZpFKpiIjIZDKRp6cnjRo1ijw8PKi1tZWIiAwGAyUkJNCIESMoMzOTPvnkE3r4\n4YcpJyeHBg8ezIlvz549qW/fvrRs2TJyd3enkJAQ6tGjB40cOZK8vb3Jzc2Nrly5QomJiTRkyBDy\n9/cnR0dHmjJlChGZia+dnR1t2rSJiIjS09NpxowZREQ0d+5cCg4OJiKihoYGTpZ8fHzI19eXJkyY\nQAcPHiQ7OzsaNmwY9e/fn4iI9Hq9hKhVVVVRSUkJCYJAREQbNmyg3r17k5eXFwmCQEqlktLT0yXr\niYgqKirIYDCQn58fBQYGUkhICG3evLndunfffZd69+4tuSfWrFlDGo2G+vbtS/7+/uTu7k4FBQWd\nup9kyJAhQ8bvAzn1+SfDrernLPG/pmjnzJmD7du3IyYmRnJMSEgI0tLSMGTIEJ6iZR2nbW1pu93Y\n2IjMzEw+UQIwd7NGRkbi66+/xqJFi7Bs2TIEBgaiqqoKgDn0P3DgQCQkJODQoUMYNWoUTwXq9Xr4\n+fmhqqoKzz//PD744AOeBvT09MTy5cvx/vvvY+LEiViwYAFmzJiBOXPmoKGhAWFhYcjOzsY777wD\nW1tbxMXFwdXVFYMHD0ZhYSESEhK4nf3790dRURH+85//IDg4GGvXruUTESyh1Wrx3XffwcPDg3eE\n2tnZwcPDA8uXL5d0mUZFRfFmj379+vHrsDTxQw89hOTkZKhUKmg0GowZM4Z307L1gLnmbNOmTfw4\nJi/Sdl1MTAx8fX0l9j722GMYP348r19LTk7m00JkyJAhQ4Z1oCDq5HwlGX9KrFu3DmfPnuUTHrrq\nmqWlpTfVprtdeHp6SuoH9+zZg3Xr1nGplq7Ayy+/jJ07dyI/P/9/Prat/f/XdTJkyJAh448PWZ7j\nL47Jkydb24TfDG3JS1RUFB8x9UdAZ8mXTNJkyJAh468DOfUpwyrobIr2j4YxY8a0GzX2R8XOnTtx\n5513YuDAgXwiRFs888wzGDhwIIKCgm4rivhb27R79244ODggJCQEISEhWLhw4e9qz5QpU+Di4iKR\ndmmLrvZRZ+zqaj8B5mkb0dHRGDx4MPz9/SUC45boSn91xqau9lVTUxPCw8MRHBwMPz8/vPzyyx2u\n60o/dcYma9xTgLm8IyQkhMtLtYU1vn+3sum2/GTlGjkZMmR0QxiNRvLy8qKSkhJqaWmhoKAgKi4u\nlqz55ptvaOzYsURElJeXR+Hh4Va3KScnh+Li4n5XOyzx/fff0+HDhyWNM5boah911q6u9hMR0cWL\nFyk/P5+IiGpra2nQoEFWv6c6Y5M1fFVfX09ERK2trRQeHk4//PCD5HVr3Fe/ZpM1/ERE9P7779PE\niRM7vLa1vn+3sul2/CRH1GTIkNEO+/fvh7e3N/r37w+1Wo2UlBT897//laz56quveOo8PDwc165d\nw+XLl61qEwAuttwVGD58ONe36whd7aPO2gV0rZ8As2A2U263t7eHr68vHwnH0NX+6oxNQNf7ik05\nYTOa2eg/BmvcV79mE9D1fiovL8f27dvxxBNPdHhta/jp12wC/nc/yURNhgwZ7XD+/Hl4eHjwbXd3\nd8losputYbNorWWTQqFAbm4ugoKCMG7cOIkYpzXQ1T7qLKztp9LSUuTn5yM8PFyy35r+uplN1vCV\nKIoIDg6Gi4sLoqOjJZNFAOv46ddssoafZs+ejfT0dIlYuCWs4adfs+l2/CQTNRkyZLRDZ2sI2/4y\n/D1rDztz7tDQUJw7dw4FBQWYOXMmEhISfjd7Oouu9FFnYU0/1dXVITk5GYsWLeJTOixhDX/dyiZr\n+EoQBBw5cgTl5eX4/vvvO1S272o//ZpNXe2nr7/+Gs7OzggJCbllhKor/dQZm27HTzJRkyFDRju4\nubnh3LlzfPvcuXNwd3e/5Zry8nK4ublZ1Sa9Xs9TNGPHjkVrayuuXr36u9n0a+hqH3UW1vJTa2sr\nkpKS8PDDD3f4gLKGv37NJmveUw4ODrj//vtx8OBByX5r3lc3s6mr/ZSbm4uvvvoKAwYMQGpqKnbt\n2oVHH31Usqar/dQZm27HTzJRkyFDRjuEhYXh1KlTKC0tRUtLCz7//HPEx8dL1sTHx+Pjjz8GYB5i\n7+joyAfWW8umy5cv81+y+/fvBxF1WEvTVehqH3UW1vATEeHxxx+Hn58fZs2a1eGarvZXZ2zqal9V\nVlbi2rVrAMyi4FlZWe06ybvaT52xqav99NZbb+HcuXMoKSnBhg0bMHLkSO4Thq72U2dsuh0/yTpq\nMmTIaAeVSoWlS5ciNjYWJpMJjz/+OHx9fbFq1SoAwLRp0zBu3Dhs374d3t7e0Ol0WLt2rdVt2rx5\nM1asWAGVSgU7Ozts2LDhd7UpNTUVe/bsQWVlJTw8PPDGG2+gtbWV29PVPuqsXV3tJwDYu3cvPv30\nUwQGBvKH/FtvvYWysjJuV1f7qzM2dbWvLl68iMmTJ0MURYiiiEceeQQxMTFW/e51xiZr3FOWYClN\na/qpMzbdjp/kyQQyZMiQIUOGDBndFHLqU4YMGTJkyJAho5tCJmoyZMiQIUOGDBndFDJRkyFDhgwZ\nMmTI6KaQiZoMGTJkyJAhQ0Y3hUzUZMiQIUOGDBkyuilkoiZDhgwZMmTIkNFN8f8BWg6P360lK8kA\nAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.crosstab(data.genres, data.gender, margins=True, colnames=['gender'])[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>All</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>genres</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Action</strong></td>\n",
        "      <td> 1611</td>\n",
        "      <td> 10700</td>\n",
        "      <td> 12311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure</strong></td>\n",
        "      <td> 1978</td>\n",
        "      <td>  8468</td>\n",
        "      <td> 10446</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Animation</strong></td>\n",
        "      <td>   64</td>\n",
        "      <td>   281</td>\n",
        "      <td>   345</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Animation|Children's|Fantasy</strong></td>\n",
        "      <td>   41</td>\n",
        "      <td>    94</td>\n",
        "      <td>   135</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Animation|Horror|Sci-Fi</strong></td>\n",
        "      <td>   71</td>\n",
        "      <td>   547</td>\n",
        "      <td>   618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Children's</strong></td>\n",
        "      <td>    4</td>\n",
        "      <td>    40</td>\n",
        "      <td>    44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Children's|Comedy</strong></td>\n",
        "      <td>  123</td>\n",
        "      <td>   395</td>\n",
        "      <td>   518</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Children's|Fantasy</strong></td>\n",
        "      <td>    7</td>\n",
        "      <td>    37</td>\n",
        "      <td>    44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Children's|Sci-Fi</strong></td>\n",
        "      <td>   55</td>\n",
        "      <td>   295</td>\n",
        "      <td>   350</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Action|Adventure|Comedy</strong></td>\n",
        "      <td>  433</td>\n",
        "      <td>  1644</td>\n",
        "      <td>  2077</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "gender                                            F      M    All\n",
        "genres                                                           \n",
        "Action                                         1611  10700  12311\n",
        "Action|Adventure                               1978   8468  10446\n",
        "Action|Adventure|Animation                       64    281    345\n",
        "Action|Adventure|Animation|Children's|Fantasy    41     94    135\n",
        "Action|Adventure|Animation|Horror|Sci-Fi         71    547    618\n",
        "Action|Adventure|Children's                       4     40     44\n",
        "Action|Adventure|Children's|Comedy              123    395    518\n",
        "Action|Adventure|Children's|Fantasy               7     37     44\n",
        "Action|Adventure|Children's|Sci-Fi               55    295    350\n",
        "Action|Adventure|Comedy                         433   1644   2077"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.pivot_table(data, values=['rating'], rows=['genres','gender'], aggfunc=len)[:10]\n",
      "#pd.pivot_table(data, values=['rating'], rows=['genres','gender'], aggfunc=mean)[:10]\n",
      "#pd.pivot_table(data, values=['rating'], rows=['genres','gender'], aggfunc=mean).plot()\n",
      "#pd.pivot_table(data, values=['rating'], rows=['genres','gender'], aggfunc=len).unstack()[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>rating</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>genres</th>\n",
        "      <th>gender</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td rowspan=\"2\" valign=\"top\"><strong>Action</strong></td>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td>  1611</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td> 10700</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td rowspan=\"2\" valign=\"top\"><strong>Action|Adventure</strong></td>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td>  1978</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td>  8468</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td rowspan=\"2\" valign=\"top\"><strong>Action|Adventure|Animation</strong></td>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td>    64</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td>   281</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td rowspan=\"2\" valign=\"top\"><strong>Action|Adventure|Animation|Children's|Fantasy</strong></td>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td>    41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td>    94</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td rowspan=\"2\" valign=\"top\"><strong>Action|Adventure|Animation|Horror|Sci-Fi</strong></td>\n",
        "      <td><strong>F</strong></td>\n",
        "      <td>    71</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>M</strong></td>\n",
        "      <td>   547</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        "                                                      rating\n",
        "genres                                        gender        \n",
        "Action                                        F         1611\n",
        "                                              M        10700\n",
        "Action|Adventure                              F         1978\n",
        "                                              M         8468\n",
        "Action|Adventure|Animation                    F           64\n",
        "                                              M          281\n",
        "Action|Adventure|Animation|Children's|Fantasy F           41\n",
        "                                              M           94\n",
        "Action|Adventure|Animation|Horror|Sci-Fi      F           71\n",
        "                                              M          547"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings_by_title = data.groupby('title').size()\n",
      "ratings_by_title[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "title\n",
        "$1,000,000 Duck (1971)                37\n",
        "'Night Mother (1986)                  70\n",
        "'Til There Was You (1997)             52\n",
        "'burbs, The (1989)                   303\n",
        "...And Justice for All (1979)        199\n",
        "1-900 (1994)                           2\n",
        "10 Things I Hate About You (1999)    700\n",
        "101 Dalmatians (1961)                565\n",
        "101 Dalmatians (1996)                364\n",
        "12 Angry Men (1957)                  616"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Some More Advanced Split-Apply-Combine Fu (Reminiscent of Plyr in R)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def top(df, n=5, column='rating'):\n",
      "    return df.sort_index(by=column)[-n:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 91
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "top(ratings, n=6)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>movie_id</th>\n",
        "      <th>rating</th>\n",
        "      <th>timestamp</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>760012</strong></td>\n",
        "      <td> 4516</td>\n",
        "      <td> 2858</td>\n",
        "      <td> 5</td>\n",
        "      <td> 964856837</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>760011</strong></td>\n",
        "      <td> 4516</td>\n",
        "      <td>  296</td>\n",
        "      <td> 5</td>\n",
        "      <td> 964856871</td>\n",
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        "    <tr>\n",
        "      <td><strong>321543</strong></td>\n",
        "      <td> 1906</td>\n",
        "      <td> 2176</td>\n",
        "      <td> 5</td>\n",
        "      <td> 974690515</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>760009</strong></td>\n",
        "      <td> 4516</td>\n",
        "      <td>  924</td>\n",
        "      <td> 5</td>\n",
        "      <td> 964856468</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>760487</strong></td>\n",
        "      <td> 4518</td>\n",
        "      <td> 3429</td>\n",
        "      <td> 5</td>\n",
        "      <td> 964843900</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>0     </strong></td>\n",
        "      <td>    1</td>\n",
        "      <td> 1193</td>\n",
        "      <td> 5</td>\n",
        "      <td> 978300760</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 92,
       "text": [
        "        user_id  movie_id  rating  timestamp\n",
        "760012     4516      2858       5  964856837\n",
        "760011     4516       296       5  964856871\n",
        "321543     1906      2176       5  974690515\n",
        "760009     4516       924       5  964856468\n",
        "760487     4518      3429       5  964843900\n",
        "0             1      1193       5  978300760"
       ]
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     ],
     "prompt_number": 92
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.groupby('gender').apply(top)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>user_id</th>\n",
        "      <th>movie_id</th>\n",
        "      <th>rating</th>\n",
        "      <th>timestamp</th>\n",
        "      <th>gender</th>\n",
        "      <th>age</th>\n",
        "      <th>occupation</th>\n",
        "      <th>zip</th>\n",
        "      <th>title</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gender</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td rowspan=\"5\" valign=\"top\"><strong>F</strong></td>\n",
        "      <td><strong>746956</strong></td>\n",
        "      <td> 3601</td>\n",
        "      <td> 2762</td>\n",
        "      <td> 5</td>\n",
        "      <td>  966637611</td>\n",
        "      <td> F</td>\n",
        "      <td> 35</td>\n",
        "      <td>  3</td>\n",
        "      <td>      95405</td>\n",
        "      <td>                           Sixth Sense, The (1999)</td>\n",
        "      <td>                          Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>746950</strong></td>\n",
        "      <td> 3590</td>\n",
        "      <td> 2762</td>\n",
        "      <td> 5</td>\n",
        "      <td>  966652161</td>\n",
        "      <td> F</td>\n",
        "      <td> 18</td>\n",
        "      <td> 15</td>\n",
        "      <td>      02115</td>\n",
        "      <td>                           Sixth Sense, The (1999)</td>\n",
        "      <td>                          Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>746949</strong></td>\n",
        "      <td> 3589</td>\n",
        "      <td> 2762</td>\n",
        "      <td> 5</td>\n",
        "      <td> 1019404113</td>\n",
        "      <td> F</td>\n",
        "      <td> 45</td>\n",
        "      <td>  0</td>\n",
        "      <td>      80010</td>\n",
        "      <td>                           Sixth Sense, The (1999)</td>\n",
        "      <td>                          Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>289418</strong></td>\n",
        "      <td> 4268</td>\n",
        "      <td> 1177</td>\n",
        "      <td> 5</td>\n",
        "      <td>  965303869</td>\n",
        "      <td> F</td>\n",
        "      <td> 45</td>\n",
        "      <td> 20</td>\n",
        "      <td>      04046</td>\n",
        "      <td>                            Enchanted April (1991)</td>\n",
        "      <td>                             Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>0     </strong></td>\n",
        "      <td>    1</td>\n",
        "      <td>    1</td>\n",
        "      <td> 5</td>\n",
        "      <td>  978824268</td>\n",
        "      <td> F</td>\n",
        "      <td>  1</td>\n",
        "      <td> 10</td>\n",
        "      <td>      48067</td>\n",
        "      <td>                                  Toy Story (1995)</td>\n",
        "      <td>       Animation|Children's|Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td rowspan=\"5\" valign=\"top\"><strong>M</strong></td>\n",
        "      <td><strong>316009</strong></td>\n",
        "      <td>  524</td>\n",
        "      <td> 1212</td>\n",
        "      <td> 5</td>\n",
        "      <td>  976172449</td>\n",
        "      <td> M</td>\n",
        "      <td> 18</td>\n",
        "      <td>  0</td>\n",
        "      <td>      91320</td>\n",
        "      <td>                             Third Man, The (1949)</td>\n",
        "      <td>                  Mystery|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>316008</strong></td>\n",
        "      <td>  509</td>\n",
        "      <td> 1212</td>\n",
        "      <td> 5</td>\n",
        "      <td>  976297749</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td>  2</td>\n",
        "      <td>      55125</td>\n",
        "      <td>                             Third Man, The (1949)</td>\n",
        "      <td>                  Mystery|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>316003</strong></td>\n",
        "      <td>  444</td>\n",
        "      <td> 1212</td>\n",
        "      <td> 5</td>\n",
        "      <td>  976241256</td>\n",
        "      <td> M</td>\n",
        "      <td> 56</td>\n",
        "      <td>  0</td>\n",
        "      <td>      55108</td>\n",
        "      <td>                             Third Man, The (1949)</td>\n",
        "      <td>                  Mystery|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>773553</strong></td>\n",
        "      <td> 5504</td>\n",
        "      <td> 2872</td>\n",
        "      <td> 5</td>\n",
        "      <td>  959735285</td>\n",
        "      <td> M</td>\n",
        "      <td> 45</td>\n",
        "      <td>  7</td>\n",
        "      <td> 85287-2702</td>\n",
        "      <td>                                  Excalibur (1981)</td>\n",
        "      <td>      Action|Drama|Fantasy|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>299199</strong></td>\n",
        "      <td> 6022</td>\n",
        "      <td> 1196</td>\n",
        "      <td> 5</td>\n",
        "      <td>  956756284</td>\n",
        "      <td> M</td>\n",
        "      <td> 25</td>\n",
        "      <td> 17</td>\n",
        "      <td>      57006</td>\n",
        "      <td> Star Wars: Episode V - The Empire Strikes Back...</td>\n",
        "      <td> Action|Adventure|Drama|Sci-Fi|War</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 93,
       "text": [
        "               user_id  movie_id  rating   timestamp gender  age  occupation         zip                                              title                             genres\n",
        "gender                                                                                                                                                                        \n",
        "F      746956     3601      2762       5   966637611      F   35           3       95405                            Sixth Sense, The (1999)                           Thriller\n",
        "       746950     3590      2762       5   966652161      F   18          15       02115                            Sixth Sense, The (1999)                           Thriller\n",
        "       746949     3589      2762       5  1019404113      F   45           0       80010                            Sixth Sense, The (1999)                           Thriller\n",
        "       289418     4268      1177       5   965303869      F   45          20       04046                             Enchanted April (1991)                              Drama\n",
        "       0             1         1       5   978824268      F    1          10       48067                                   Toy Story (1995)        Animation|Children's|Comedy\n",
        "M      316009      524      1212       5   976172449      M   18           0       91320                              Third Man, The (1949)                   Mystery|Thriller\n",
        "       316008      509      1212       5   976297749      M   25           2       55125                              Third Man, The (1949)                   Mystery|Thriller\n",
        "       316003      444      1212       5   976241256      M   56           0       55108                              Third Man, The (1949)                   Mystery|Thriller\n",
        "       773553     5504      2872       5   959735285      M   45           7  85287-2702                                   Excalibur (1981)       Action|Drama|Fantasy|Romance\n",
        "       299199     6022      1196       5   956756284      M   25          17       57006  Star Wars: Episode V - The Empire Strikes Back...  Action|Adventure|Drama|Sci-Fi|War"
       ]
      }
     ],
     "prompt_number": 93
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Subset the Data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "active_titles = ratings_by_title.index[ratings_by_title >= 250]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "active_titles[:15]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "Index(['burbs, The (1989), 10 Things I Hate About You (1999), 101 Dalmatians (1961), 101 Dalmatians (1996), 12 Angry Men (1957), 13th Warrior, The (1999), 2 Days in the Valley (1996), 20,000 Leagues Under the Sea (1954), 2001: A Space Odyssey (1968), 2010 (1984), 28 Days (2000), 39 Steps, The (1935), 54 (1998), 7th Voyage of Sinbad, The (1958), 8MM (1999)], dtype=object)"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# select only the ones with active titles\n",
      "mean_ratings = mean_ratings.ix[active_titles]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 1216 entries, 'burbs, The (1989) to eXistenZ (1999)\n",
        "Data columns:\n",
        "F    1216  non-null values\n",
        "M    1216  non-null values\n",
        "dtypes: float64(2)"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ratings_by_title[:12]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 46,
       "text": [
        "title\n",
        "$1,000,000 Duck (1971)                37\n",
        "'Night Mother (1986)                  70\n",
        "'Til There Was You (1997)             52\n",
        "'burbs, The (1989)                   303\n",
        "...And Justice for All (1979)        199\n",
        "1-900 (1994)                           2\n",
        "10 Things I Hate About You (1999)    700\n",
        "101 Dalmatians (1961)                565\n",
        "101 Dalmatians (1996)                364\n",
        "12 Angry Men (1957)                  616\n",
        "13th Warrior, The (1999)             750\n",
        "187 (1997)                            55"
       ]
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "top_female_ratings = mean_ratings.sort_index(by='F', ascending=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "top_female_ratings[:12]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Close Shave, A (1995)</strong></td>\n",
        "      <td> 4.644444</td>\n",
        "      <td> 4.473795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Wrong Trousers, The (1993)</strong></td>\n",
        "      <td> 4.588235</td>\n",
        "      <td> 4.478261</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)</strong></td>\n",
        "      <td> 4.572650</td>\n",
        "      <td> 4.464589</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Wallace & Gromit: The Best of Aardman Animation (1996)</strong></td>\n",
        "      <td> 4.563107</td>\n",
        "      <td> 4.385075</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Schindler's List (1993)</strong></td>\n",
        "      <td> 4.562602</td>\n",
        "      <td> 4.491415</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Shawshank Redemption, The (1994)</strong></td>\n",
        "      <td> 4.539075</td>\n",
        "      <td> 4.560625</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Grand Day Out, A (1992)</strong></td>\n",
        "      <td> 4.537879</td>\n",
        "      <td> 4.293255</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>To Kill a Mockingbird (1962)</strong></td>\n",
        "      <td> 4.536667</td>\n",
        "      <td> 4.372611</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Creature Comforts (1990)</strong></td>\n",
        "      <td> 4.513889</td>\n",
        "      <td> 4.272277</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Usual Suspects, The (1995)</strong></td>\n",
        "      <td> 4.513317</td>\n",
        "      <td> 4.518248</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>It Happened One Night (1934)</strong></td>\n",
        "      <td> 4.500000</td>\n",
        "      <td> 4.163934</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Rear Window (1954)</strong></td>\n",
        "      <td> 4.484536</td>\n",
        "      <td> 4.472991</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "gender                                                         F         M\n",
        "title                                                                     \n",
        "Close Shave, A (1995)                                   4.644444  4.473795\n",
        "Wrong Trousers, The (1993)                              4.588235  4.478261\n",
        "Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)           4.572650  4.464589\n",
        "Wallace & Gromit: The Best of Aardman Animation (1996)  4.563107  4.385075\n",
        "Schindler's List (1993)                                 4.562602  4.491415\n",
        "Shawshank Redemption, The (1994)                        4.539075  4.560625\n",
        "Grand Day Out, A (1992)                                 4.537879  4.293255\n",
        "To Kill a Mockingbird (1962)                            4.536667  4.372611\n",
        "Creature Comforts (1990)                                4.513889  4.272277\n",
        "Usual Suspects, The (1995)                              4.513317  4.518248\n",
        "It Happened One Night (1934)                            4.500000  4.163934\n",
        "Rear Window (1954)                                      4.484536  4.472991"
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.set_printoptions(max_columns=20)\n",
      "# needed because otherwise the male ratings won't print, due to long title"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "top_male_ratings = mean_ratings.sort_index(by='M', ascending=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "top_male_ratings[:10] #.plot(kind='barh')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Godfather, The (1972)</strong></td>\n",
        "      <td> 4.314700</td>\n",
        "      <td> 4.583333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)</strong></td>\n",
        "      <td> 4.481132</td>\n",
        "      <td> 4.576628</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Shawshank Redemption, The (1994)</strong></td>\n",
        "      <td> 4.539075</td>\n",
        "      <td> 4.560625</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Raiders of the Lost Ark (1981)</strong></td>\n",
        "      <td> 4.332168</td>\n",
        "      <td> 4.520597</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Usual Suspects, The (1995)</strong></td>\n",
        "      <td> 4.513317</td>\n",
        "      <td> 4.518248</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Star Wars: Episode IV - A New Hope (1977)</strong></td>\n",
        "      <td> 4.302937</td>\n",
        "      <td> 4.495307</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Schindler's List (1993)</strong></td>\n",
        "      <td> 4.562602</td>\n",
        "      <td> 4.491415</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Wrong Trousers, The (1993)</strong></td>\n",
        "      <td> 4.588235</td>\n",
        "      <td> 4.478261</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Close Shave, A (1995)</strong></td>\n",
        "      <td> 4.644444</td>\n",
        "      <td> 4.473795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Rear Window (1954)</strong></td>\n",
        "      <td> 4.484536</td>\n",
        "      <td> 4.472991</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "gender                                                                      F         M\n",
        "title                                                                                  \n",
        "Godfather, The (1972)                                                4.314700  4.583333\n",
        "Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)  4.481132  4.576628\n",
        "Shawshank Redemption, The (1994)                                     4.539075  4.560625\n",
        "Raiders of the Lost Ark (1981)                                       4.332168  4.520597\n",
        "Usual Suspects, The (1995)                                           4.513317  4.518248\n",
        "Star Wars: Episode IV - A New Hope (1977)                            4.302937  4.495307\n",
        "Schindler's List (1993)                                              4.562602  4.491415\n",
        "Wrong Trousers, The (1993)                                           4.588235  4.478261\n",
        "Close Shave, A (1995)                                                4.644444  4.473795\n",
        "Rear Window (1954)                                                   4.484536  4.472991"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Measuring disagreement - Add Column\n",
      "---------"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# add a column\n",
      "mean_ratings['diff'] = mean_ratings['M'] - mean_ratings['F']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.scatter_matrix(mean_ratings,alpha=0.2, figsize=(8, 8)) # ,diagonal='kde'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "array([[Axes(0.125,0.641667;0.258333x0.258333),\n",
        "        Axes(0.383333,0.641667;0.258333x0.258333),\n",
        "        Axes(0.641667,0.641667;0.258333x0.258333)],\n",
        "       [Axes(0.125,0.383333;0.258333x0.258333),\n",
        "        Axes(0.383333,0.383333;0.258333x0.258333),\n",
        "        Axes(0.641667,0.383333;0.258333x0.258333)],\n",
        "       [Axes(0.125,0.125;0.258333x0.258333),\n",
        "        Axes(0.383333,0.125;0.258333x0.258333),\n",
        "        Axes(0.641667,0.125;0.258333x0.258333)]], dtype=object)"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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MuXP/L8VihpGRw6TTr2Ey7adaXeDEiSiPPvoF7PYD/Pmf/z8kkzdQ1RQ3b1pJ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\n3gAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings['F'].median()\n",
      "#mean_ratings['M'].median()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 54,
       "text": [
        "3.6045643873654982"
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings.describe()\n",
      "# or mean_ratings['M'].describe() etc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>count</strong></td>\n",
        "      <td> 1216.000000</td>\n",
        "      <td> 1216.000000</td>\n",
        "      <td> 1216.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>mean</strong></td>\n",
        "      <td>    3.548584</td>\n",
        "      <td>    3.541090</td>\n",
        "      <td>   -0.007494</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>std</strong></td>\n",
        "      <td>    0.508329</td>\n",
        "      <td>    0.513287</td>\n",
        "      <td>    0.208956</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>min</strong></td>\n",
        "      <td>    1.574468</td>\n",
        "      <td>    1.616949</td>\n",
        "      <td>   -0.830782</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>25%</strong></td>\n",
        "      <td>    3.243709</td>\n",
        "      <td>    3.208182</td>\n",
        "      <td>   -0.141280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>50%</strong></td>\n",
        "      <td>    3.604564</td>\n",
        "      <td>    3.605161</td>\n",
        "      <td>   -0.009800</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>75%</strong></td>\n",
        "      <td>    3.924150</td>\n",
        "      <td>    3.913895</td>\n",
        "      <td>    0.116268</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>max</strong></td>\n",
        "      <td>    4.644444</td>\n",
        "      <td>    4.583333</td>\n",
        "      <td>    0.726351</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "gender            F            M         diff\n",
        "count   1216.000000  1216.000000  1216.000000\n",
        "mean       3.548584     3.541090    -0.007494\n",
        "std        0.508329     0.513287     0.208956\n",
        "min        1.574468     1.616949    -0.830782\n",
        "25%        3.243709     3.208182    -0.141280\n",
        "50%        3.604564     3.605161    -0.009800\n",
        "75%        3.924150     3.913895     0.116268\n",
        "max        4.644444     4.583333     0.726351"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff = mean_ratings.sort_index(by='diff')  # default is ascending=True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[:15]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Dirty Dancing (1987)</strong></td>\n",
        "      <td> 3.790378</td>\n",
        "      <td> 2.959596</td>\n",
        "      <td>-0.830782</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Jumpin' Jack Flash (1986)</strong></td>\n",
        "      <td> 3.254717</td>\n",
        "      <td> 2.578358</td>\n",
        "      <td>-0.676359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Grease (1978)</strong></td>\n",
        "      <td> 3.975265</td>\n",
        "      <td> 3.367041</td>\n",
        "      <td>-0.608224</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Little Women (1994)</strong></td>\n",
        "      <td> 3.870588</td>\n",
        "      <td> 3.321739</td>\n",
        "      <td>-0.548849</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Steel Magnolias (1989)</strong></td>\n",
        "      <td> 3.901734</td>\n",
        "      <td> 3.365957</td>\n",
        "      <td>-0.535777</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Anastasia (1997)</strong></td>\n",
        "      <td> 3.800000</td>\n",
        "      <td> 3.281609</td>\n",
        "      <td>-0.518391</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Rocky Horror Picture Show, The (1975)</strong></td>\n",
        "      <td> 3.673016</td>\n",
        "      <td> 3.160131</td>\n",
        "      <td>-0.512885</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Color Purple, The (1985)</strong></td>\n",
        "      <td> 4.158192</td>\n",
        "      <td> 3.659341</td>\n",
        "      <td>-0.498851</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Age of Innocence, The (1993)</strong></td>\n",
        "      <td> 3.827068</td>\n",
        "      <td> 3.339506</td>\n",
        "      <td>-0.487561</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Free Willy (1993)</strong></td>\n",
        "      <td> 2.921348</td>\n",
        "      <td> 2.438776</td>\n",
        "      <td>-0.482573</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>French Kiss (1995)</strong></td>\n",
        "      <td> 3.535714</td>\n",
        "      <td> 3.056962</td>\n",
        "      <td>-0.478752</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Little Shop of Horrors, The (1960)</strong></td>\n",
        "      <td> 3.650000</td>\n",
        "      <td> 3.179688</td>\n",
        "      <td>-0.470312</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Guys and Dolls (1955)</strong></td>\n",
        "      <td> 4.051724</td>\n",
        "      <td> 3.583333</td>\n",
        "      <td>-0.468391</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Mary Poppins (1964)</strong></td>\n",
        "      <td> 4.197740</td>\n",
        "      <td> 3.730594</td>\n",
        "      <td>-0.467147</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Patch Adams (1998)</strong></td>\n",
        "      <td> 3.473282</td>\n",
        "      <td> 3.008746</td>\n",
        "      <td>-0.464536</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "gender                                        F         M      diff\n",
        "title                                                              \n",
        "Dirty Dancing (1987)                   3.790378  2.959596 -0.830782\n",
        "Jumpin' Jack Flash (1986)              3.254717  2.578358 -0.676359\n",
        "Grease (1978)                          3.975265  3.367041 -0.608224\n",
        "Little Women (1994)                    3.870588  3.321739 -0.548849\n",
        "Steel Magnolias (1989)                 3.901734  3.365957 -0.535777\n",
        "Anastasia (1997)                       3.800000  3.281609 -0.518391\n",
        "Rocky Horror Picture Show, The (1975)  3.673016  3.160131 -0.512885\n",
        "Color Purple, The (1985)               4.158192  3.659341 -0.498851\n",
        "Age of Innocence, The (1993)           3.827068  3.339506 -0.487561\n",
        "Free Willy (1993)                      2.921348  2.438776 -0.482573\n",
        "French Kiss (1995)                     3.535714  3.056962 -0.478752\n",
        "Little Shop of Horrors, The (1960)     3.650000  3.179688 -0.470312\n",
        "Guys and Dolls (1955)                  4.051724  3.583333 -0.468391\n",
        "Mary Poppins (1964)                    4.197740  3.730594 -0.467147\n",
        "Patch Adams (1998)                     3.473282  3.008746 -0.464536"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "***"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "A Graphical Exploration For Another Time, Probably"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[:20].plot(kind='barh')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 58,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x5e39bf0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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FRZV2FwrmxfXx3j4OHjwoXFxc8j32559/Cmtra2Fubi48PDxEamqqECJboTAu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\nIWRQoc4LIYQQQgaV/wOGNsLsxjlhEwAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff['diff'][:20].plot(kind='barh')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x5eeecf0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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B5PxLaGzKKTo6mgICAqi6upqIiMzMzOj69etERHT//n3as2cPubu70/vvv8/O5+TkEJFs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\ne1hAw2AwGAwGw+75P9VIaap9xK/1AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# fix the orientation by using a numpy absolute value function\n",
      "np.abs(sorted_by_diff['diff'][:20]).plot(kind='barh')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x655f3d0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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ffyEjI4N5KdU92j1lyhTMnTsX6enp+O2339hArzGEnqusrAzu7u5IT0+Hp6cn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\nMBgMBkPvYQENg8FgMBgMvef/AJ3EmgghjcfmAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[::-1][:15]  \n",
      "# the ones that men liked and women didn't - [::-1] reverses a list in python!"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Good, The Bad and The Ugly, The (1966)</strong></td>\n",
        "      <td> 3.494949</td>\n",
        "      <td> 4.221300</td>\n",
        "      <td> 0.726351</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Kentucky Fried Movie, The (1977)</strong></td>\n",
        "      <td> 2.878788</td>\n",
        "      <td> 3.555147</td>\n",
        "      <td> 0.676359</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Dumb & Dumber (1994)</strong></td>\n",
        "      <td> 2.697987</td>\n",
        "      <td> 3.336595</td>\n",
        "      <td> 0.638608</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Longest Day, The (1962)</strong></td>\n",
        "      <td> 3.411765</td>\n",
        "      <td> 4.031447</td>\n",
        "      <td> 0.619682</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Cable Guy, The (1996)</strong></td>\n",
        "      <td> 2.250000</td>\n",
        "      <td> 2.863787</td>\n",
        "      <td> 0.613787</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Evil Dead II (Dead By Dawn) (1987)</strong></td>\n",
        "      <td> 3.297297</td>\n",
        "      <td> 3.909283</td>\n",
        "      <td> 0.611985</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Hidden, The (1987)</strong></td>\n",
        "      <td> 3.137931</td>\n",
        "      <td> 3.745098</td>\n",
        "      <td> 0.607167</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Rocky III (1982)</strong></td>\n",
        "      <td> 2.361702</td>\n",
        "      <td> 2.943503</td>\n",
        "      <td> 0.581801</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Caddyshack (1980)</strong></td>\n",
        "      <td> 3.396135</td>\n",
        "      <td> 3.969737</td>\n",
        "      <td> 0.573602</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>For a Few Dollars More (1965)</strong></td>\n",
        "      <td> 3.409091</td>\n",
        "      <td> 3.953795</td>\n",
        "      <td> 0.544704</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Porky's (1981)</strong></td>\n",
        "      <td> 2.296875</td>\n",
        "      <td> 2.836364</td>\n",
        "      <td> 0.539489</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Animal House (1978)</strong></td>\n",
        "      <td> 3.628906</td>\n",
        "      <td> 4.167192</td>\n",
        "      <td> 0.538286</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Exorcist, The (1973)</strong></td>\n",
        "      <td> 3.537634</td>\n",
        "      <td> 4.067239</td>\n",
        "      <td> 0.529605</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Fright Night (1985)</strong></td>\n",
        "      <td> 2.973684</td>\n",
        "      <td> 3.500000</td>\n",
        "      <td> 0.526316</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Barb Wire (1996)</strong></td>\n",
        "      <td> 1.585366</td>\n",
        "      <td> 2.100386</td>\n",
        "      <td> 0.515020</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 61,
       "text": [
        "gender                                         F         M      diff\n",
        "title                                                               \n",
        "Good, The Bad and The Ugly, The (1966)  3.494949  4.221300  0.726351\n",
        "Kentucky Fried Movie, The (1977)        2.878788  3.555147  0.676359\n",
        "Dumb & Dumber (1994)                    2.697987  3.336595  0.638608\n",
        "Longest Day, The (1962)                 3.411765  4.031447  0.619682\n",
        "Cable Guy, The (1996)                   2.250000  2.863787  0.613787\n",
        "Evil Dead II (Dead By Dawn) (1987)      3.297297  3.909283  0.611985\n",
        "Hidden, The (1987)                      3.137931  3.745098  0.607167\n",
        "Rocky III (1982)                        2.361702  2.943503  0.581801\n",
        "Caddyshack (1980)                       3.396135  3.969737  0.573602\n",
        "For a Few Dollars More (1965)           3.409091  3.953795  0.544704\n",
        "Porky's (1981)                          2.296875  2.836364  0.539489\n",
        "Animal House (1978)                     3.628906  4.167192  0.538286\n",
        "Exorcist, The (1973)                    3.537634  4.067239  0.529605\n",
        "Fright Night (1985)                     2.973684  3.500000  0.526316\n",
        "Barb Wire (1996)                        1.585366  2.100386  0.515020"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[::-1][:20].plot(kind='barh')\n",
      "# a dumb plot first... but shows some movies have low ratings overall - look at Barb Wire."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x66281b0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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II+g/yOeff86sWbNeqSG0du1atmzZUugx+d9EIpFIXh3SIySRlCHKokdISmxI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\n3cISIQaDwWAwGO2W/wOvDE91eTxepwAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# let's add a simple avg of the 2 ratings as a new column\n",
      "mean_ratings['avg'] = (mean_ratings['M'] + mean_ratings['F']) / 2\n",
      "                                               "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings[:5]  # you should see the new col, avg"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "      <th>avg</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>'burbs, The (1989)</strong></td>\n",
        "      <td> 2.793478</td>\n",
        "      <td> 2.962085</td>\n",
        "      <td> 0.168607</td>\n",
        "      <td> 2.877782</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>10 Things I Hate About You (1999)</strong></td>\n",
        "      <td> 3.646552</td>\n",
        "      <td> 3.311966</td>\n",
        "      <td>-0.334586</td>\n",
        "      <td> 3.479259</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>101 Dalmatians (1961)</strong></td>\n",
        "      <td> 3.791444</td>\n",
        "      <td> 3.500000</td>\n",
        "      <td>-0.291444</td>\n",
        "      <td> 3.645722</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>101 Dalmatians (1996)</strong></td>\n",
        "      <td> 3.240000</td>\n",
        "      <td> 2.911215</td>\n",
        "      <td>-0.328785</td>\n",
        "      <td> 3.075607</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>12 Angry Men (1957)</strong></td>\n",
        "      <td> 4.184397</td>\n",
        "      <td> 4.328421</td>\n",
        "      <td> 0.144024</td>\n",
        "      <td> 4.256409</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 64,
       "text": [
        "gender                                    F         M      diff       avg\n",
        "title                                                                    \n",
        "'burbs, The (1989)                 2.793478  2.962085  0.168607  2.877782\n",
        "10 Things I Hate About You (1999)  3.646552  3.311966 -0.334586  3.479259\n",
        "101 Dalmatians (1961)              3.791444  3.500000 -0.291444  3.645722\n",
        "101 Dalmatians (1996)              3.240000  2.911215 -0.328785  3.075607\n",
        "12 Angry Men (1957)                4.184397  4.328421  0.144024  4.256409"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff = mean_ratings.sort_index(by='diff', ascending=False)  # meaning, the biggest diff is the TOP\n",
      "# you could make a sorted_by_avg too.  try it?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 65
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "      <th>avg</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Good, The Bad and The Ugly, The (1966)</strong></td>\n",
        "      <td> 3.494949</td>\n",
        "      <td> 4.221300</td>\n",
        "      <td> 0.726351</td>\n",
        "      <td> 3.858125</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Kentucky Fried Movie, The (1977)</strong></td>\n",
        "      <td> 2.878788</td>\n",
        "      <td> 3.555147</td>\n",
        "      <td> 0.676359</td>\n",
        "      <td> 3.216967</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Dumb & Dumber (1994)</strong></td>\n",
        "      <td> 2.697987</td>\n",
        "      <td> 3.336595</td>\n",
        "      <td> 0.638608</td>\n",
        "      <td> 3.017291</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Longest Day, The (1962)</strong></td>\n",
        "      <td> 3.411765</td>\n",
        "      <td> 4.031447</td>\n",
        "      <td> 0.619682</td>\n",
        "      <td> 3.721606</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Cable Guy, The (1996)</strong></td>\n",
        "      <td> 2.250000</td>\n",
        "      <td> 2.863787</td>\n",
        "      <td> 0.613787</td>\n",
        "      <td> 2.556894</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Evil Dead II (Dead By Dawn) (1987)</strong></td>\n",
        "      <td> 3.297297</td>\n",
        "      <td> 3.909283</td>\n",
        "      <td> 0.611985</td>\n",
        "      <td> 3.603290</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Hidden, The (1987)</strong></td>\n",
        "      <td> 3.137931</td>\n",
        "      <td> 3.745098</td>\n",
        "      <td> 0.607167</td>\n",
        "      <td> 3.441515</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Rocky III (1982)</strong></td>\n",
        "      <td> 2.361702</td>\n",
        "      <td> 2.943503</td>\n",
        "      <td> 0.581801</td>\n",
        "      <td> 2.652602</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>Caddyshack (1980)</strong></td>\n",
        "      <td> 3.396135</td>\n",
        "      <td> 3.969737</td>\n",
        "      <td> 0.573602</td>\n",
        "      <td> 3.682936</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>For a Few Dollars More (1965)</strong></td>\n",
        "      <td> 3.409091</td>\n",
        "      <td> 3.953795</td>\n",
        "      <td> 0.544704</td>\n",
        "      <td> 3.681443</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 66,
       "text": [
        "gender                                         F         M      diff       avg\n",
        "title                                                                         \n",
        "Good, The Bad and The Ugly, The (1966)  3.494949  4.221300  0.726351  3.858125\n",
        "Kentucky Fried Movie, The (1977)        2.878788  3.555147  0.676359  3.216967\n",
        "Dumb & Dumber (1994)                    2.697987  3.336595  0.638608  3.017291\n",
        "Longest Day, The (1962)                 3.411765  4.031447  0.619682  3.721606\n",
        "Cable Guy, The (1996)                   2.250000  2.863787  0.613787  2.556894\n",
        "Evil Dead II (Dead By Dawn) (1987)      3.297297  3.909283  0.611985  3.603290\n",
        "Hidden, The (1987)                      3.137931  3.745098  0.607167  3.441515\n",
        "Rocky III (1982)                        2.361702  2.943503  0.581801  2.652602\n",
        "Caddyshack (1980)                       3.396135  3.969737  0.573602  3.682936\n",
        "For a Few Dollars More (1965)           3.409091  3.953795  0.544704  3.681443"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(sorted_by_diff['diff'], sorted_by_diff['avg'],alpha=.6)\n",
      "xlabel(\"Diff\")\n",
      "ylabel(\"Avg\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 67,
       "text": [
        "<matplotlib.text.Text at 0x6a50e30>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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Ll3/Is88+hMPhQJYD0GrbbiCiqEWtjrzgIvfjx1/GgAF92Lz5Oz75pJwlS7by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\nPJTKYOAY/fpFc+bMn8hyEEZjJrJ8ALPZl/Bwjyqzp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2bN5IiICPmOO+6Qf/vtt7oM94Y2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\nlfwPfNhs0N/XbsoAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Remember how to look at a command's options in the notebook: (Click the bar to close the section again.)\n",
      "plt.scatter?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 95
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "      <th>avg</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>count</strong></td>\n",
        "      <td> 1216.000000</td>\n",
        "      <td> 1216.000000</td>\n",
        "      <td> 1216.000000</td>\n",
        "      <td> 1216.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>mean</strong></td>\n",
        "      <td>    3.548584</td>\n",
        "      <td>    3.541090</td>\n",
        "      <td>   -0.007494</td>\n",
        "      <td>    3.544837</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>std</strong></td>\n",
        "      <td>    0.508329</td>\n",
        "      <td>    0.513287</td>\n",
        "      <td>    0.208956</td>\n",
        "      <td>    0.500015</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>min</strong></td>\n",
        "      <td>    1.574468</td>\n",
        "      <td>    1.616949</td>\n",
        "      <td>   -0.830782</td>\n",
        "      <td>    1.595709</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>25%</strong></td>\n",
        "      <td>    3.243709</td>\n",
        "      <td>    3.208182</td>\n",
        "      <td>   -0.141280</td>\n",
        "      <td>    3.236225</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>50%</strong></td>\n",
        "      <td>    3.604564</td>\n",
        "      <td>    3.605161</td>\n",
        "      <td>   -0.009800</td>\n",
        "      <td>    3.610063</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>75%</strong></td>\n",
        "      <td>    3.924150</td>\n",
        "      <td>    3.913895</td>\n",
        "      <td>    0.116268</td>\n",
        "      <td>    3.906921</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>max</strong></td>\n",
        "      <td>    4.644444</td>\n",
        "      <td>    4.583333</td>\n",
        "      <td>    0.726351</td>\n",
        "      <td>    4.559119</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 69,
       "text": [
        "gender            F            M         diff          avg\n",
        "count   1216.000000  1216.000000  1216.000000  1216.000000\n",
        "mean       3.548584     3.541090    -0.007494     3.544837\n",
        "std        0.508329     0.513287     0.208956     0.500015\n",
        "min        1.574468     1.616949    -0.830782     1.595709\n",
        "25%        3.243709     3.208182    -0.141280     3.236225\n",
        "50%        3.604564     3.605161    -0.009800     3.610063\n",
        "75%        3.924150     3.913895     0.116268     3.906921\n",
        "max        4.644444     4.583333     0.726351     4.559119"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff[sorted_by_diff['diff']< -.83]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "      <th>diff</th>\n",
        "      <th>avg</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>title</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>Dirty Dancing (1987)</strong></td>\n",
        "      <td> 3.790378</td>\n",
        "      <td> 2.959596</td>\n",
        "      <td>-0.830782</td>\n",
        "      <td> 3.374987</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 70,
       "text": [
        "gender                       F         M      diff       avg\n",
        "title                                                       \n",
        "Dirty Dancing (1987)  3.790378  2.959596 -0.830782  3.374987"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted_by_diff"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 71,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 1216 entries, Good, The Bad and The Ugly, The (1966) to Dirty Dancing (1987)\n",
        "Data columns:\n",
        "F       1216  non-null values\n",
        "M       1216  non-null values\n",
        "diff    1216  non-null values\n",
        "avg     1216  non-null values\n",
        "dtypes: float64(4)"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Since the data frame is indexed by the movie names, we can do this:\n",
      "sorted_by_diff.index[0]\n",
      "# since it was already sorted, we can look at the first item's name this way.\n",
      "# sorted_by_diff.index # try this too... \n",
      "# sorted_by_diff.ix[0] # gives the whole record at that index."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 72,
       "text": [
        "'Good, The Bad and The Ugly, The (1966)'"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "More Simple Stats: Movies With Biggest Opinion Spread\n",
      "--------"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rating_std_by_title = data.groupby('title')['rating'].std()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 73
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rating_std_by_title = rating_std_by_title.ix[active_titles]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 74
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rating_std_by_title.order(ascending=False)[:10]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 75,
       "text": [
        "title\n",
        "Dumb & Dumber (1994)                     1.321333\n",
        "Blair Witch Project, The (1999)          1.316368\n",
        "Natural Born Killers (1994)              1.307198\n",
        "Tank Girl (1995)                         1.277695\n",
        "Rocky Horror Picture Show, The (1975)    1.260177\n",
        "Eyes Wide Shut (1999)                    1.259624\n",
        "Evita (1996)                             1.253631\n",
        "Billy Madison (1995)                     1.249970\n",
        "Fear and Loathing in Las Vegas (1998)    1.246408\n",
        "Bicentennial Man (1999)                  1.245533\n",
        "Name: rating"
       ]
      }
     ],
     "prompt_number": 75
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "String Operations - Ratings by decade\n",
      "------"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mean_ratings_noidx = mean_ratings.reset_index()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 76
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import re\n",
      "year_re = r'.* \\(([\\d]+)\\)'\n",
      "\n",
      "year = mean_ratings_noidx.title.str.match(year_re).str[0]\n",
      "\n",
      "movie_decade = pd.Series(year.astype(int).values // 10 * 10, \n",
      "                         index=mean_ratings_noidx.title)\n",
      "movie_decade"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 77,
       "text": [
        "title\n",
        "'burbs, The (1989)                     1980\n",
        "10 Things I Hate About You (1999)      1990\n",
        "101 Dalmatians (1961)                  1960\n",
        "101 Dalmatians (1996)                  1990\n",
        "12 Angry Men (1957)                    1950\n",
        "13th Warrior, The (1999)               1990\n",
        "2 Days in the Valley (1996)            1990\n",
        "20,000 Leagues Under the Sea (1954)    1950\n",
        "2001: A Space Odyssey (1968)           1960\n",
        "2010 (1984)                            1980\n",
        "28 Days (2000)                         2000\n",
        "39 Steps, The (1935)                   1930\n",
        "54 (1998)                              1990\n",
        "7th Voyage of Sinbad, The (1958)       1950\n",
        "8MM (1999)                             1990\n",
        "...\n",
        "Working Girl (1988)                      1980\n",
        "World Is Not Enough, The (1999)          1990\n",
        "Wrong Trousers, The (1993)               1990\n",
        "Wyatt Earp (1994)                        1990\n",
        "X-Files: Fight the Future, The (1998)    1990\n",
        "X-Men (2000)                             2000\n",
        "Year of Living Dangerously (1982)        1980\n",
        "Yellow Submarine (1968)                  1960\n",
        "You've Got Mail (1998)                   1990\n",
        "Young Frankenstein (1974)                1970\n",
        "Young Guns (1988)                        1980\n",
        "Young Guns II (1990)                     1990\n",
        "Young Sherlock Holmes (1985)             1980\n",
        "Zero Effect (1998)                       1990\n",
        "eXistenZ (1999)                          1990\n",
        "Length: 1216"
       ]
      }
     ],
     "prompt_number": 77
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='screencaps/vec_string.png')\n",
      "# From Python for Data Analysis (Wes McKinney), chapter 7:"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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m0RtibeJdEr2SD6VGpadkXsi+lHsh/1xhWnFS6anymMqw6kO1XvUujTv7bmjWa1VoF+rk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oddRGg26IaZVLgryoYDUAld0hAYrT4htAnS2Xyeh0qbOPHlAxC0LJ4sH4OJ2up7Q9BQwzOOfdsG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8lx76KDatu7EZKmOjmYjG4EsYQn65MHsJOSculiJS+QwnzXc8edwZzp96yU48VcQs7eBeKTD3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\nAAAASUVORK5CYII=\n",
       "prompt_number": 78,
       "text": [
        "<IPython.core.display.Image at 0x6a5b350>"
       ]
      }
     ],
     "prompt_number": 78
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data_sub = data[data.title.isin(active_titles)]  #isin is cool!\n",
      "data_sub"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 79,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Int64Index: 808922 entries, 0 to 1000208\n",
        "Data columns:\n",
        "user_id       808922  non-null values\n",
        "movie_id      808922  non-null values\n",
        "rating        808922  non-null values\n",
        "timestamp     808922  non-null values\n",
        "gender        808922  non-null values\n",
        "age           808922  non-null values\n",
        "occupation    808922  non-null values\n",
        "zip           808922  non-null values\n",
        "title         808922  non-null values\n",
        "genres        808922  non-null values\n",
        "dtypes: int64(6), object(4)"
       ]
      }
     ],
     "prompt_number": 79
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_decade = data_sub.groupby(data_sub.title.map(movie_decade))\n",
      "by_decade.size()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 80,
       "text": [
        "title\n",
        "1920        663\n",
        "1930       8889\n",
        "1940      13843\n",
        "1950      26596\n",
        "1960      38816\n",
        "1970      69768\n",
        "1980     192012\n",
        "1990     425623\n",
        "2000      32712"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_decade.size().plot(kind='bar')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 81,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x6a7ba50>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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WtmrVKhgMBiQlJSEpKQn79u3T1q1fvx5msxkxMTGorKzU2mtqahAfHw+z2Yxl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\niFywYyAiIhfsGIiIyAU7BiIicvH/AwFfv+wzXcQcAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 81
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "decade = data_sub.title.map(movie_decade)\n",
      "decade.name = 'decade'\n",
      "by_decade_gender = data_sub.groupby([decade, 'gender'])\n",
      "by_decade_gender.rating.mean()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 82,
       "text": [
        "decade  gender\n",
        "1920    F         4.047244\n",
        "        M         4.145522\n",
        "1930    F         4.178956\n",
        "        M         4.065204\n",
        "1940    F         4.179606\n",
        "        M         4.207828\n",
        "1950    F         4.096413\n",
        "        M         4.041530\n",
        "1960    F         3.993481\n",
        "        M         3.999227\n",
        "1970    F         3.872816\n",
        "        M         3.928632\n",
        "1980    F         3.717687\n",
        "        M         3.687492\n",
        "1990    F         3.613303\n",
        "        M         3.556675\n",
        "2000    F         3.519964\n",
        "        M         3.482841\n",
        "Name: rating"
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_decade_gender.rating.mean().unstack()\n",
      "# make them columns"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th>gender</th>\n",
        "      <th>F</th>\n",
        "      <th>M</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>decade</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <td><strong>1920</strong></td>\n",
        "      <td> 4.047244</td>\n",
        "      <td> 4.145522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1930</strong></td>\n",
        "      <td> 4.178956</td>\n",
        "      <td> 4.065204</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1940</strong></td>\n",
        "      <td> 4.179606</td>\n",
        "      <td> 4.207828</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1950</strong></td>\n",
        "      <td> 4.096413</td>\n",
        "      <td> 4.041530</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1960</strong></td>\n",
        "      <td> 3.993481</td>\n",
        "      <td> 3.999227</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1970</strong></td>\n",
        "      <td> 3.872816</td>\n",
        "      <td> 3.928632</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1980</strong></td>\n",
        "      <td> 3.717687</td>\n",
        "      <td> 3.687492</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>1990</strong></td>\n",
        "      <td> 3.613303</td>\n",
        "      <td> 3.556675</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td><strong>2000</strong></td>\n",
        "      <td> 3.519964</td>\n",
        "      <td> 3.482841</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 83,
       "text": [
        "gender         F         M\n",
        "decade                    \n",
        "1920    4.047244  4.145522\n",
        "1930    4.178956  4.065204\n",
        "1940    4.179606  4.207828\n",
        "1950    4.096413  4.041530\n",
        "1960    3.993481  3.999227\n",
        "1970    3.872816  3.928632\n",
        "1980    3.717687  3.687492\n",
        "1990    3.613303  3.556675\n",
        "2000    3.519964  3.482841"
       ]
      }
     ],
     "prompt_number": 83
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_decade_gender.rating.mean().unstack"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 84,
       "text": [
        "<bound method Series.unstack of decade  gender\n",
        "1920    F         4.047244\n",
        "        M         4.145522\n",
        "1930    F         4.178956\n",
        "        M         4.065204\n",
        "1940    F         4.179606\n",
        "        M         4.207828\n",
        "1950    F         4.096413\n",
        "        M         4.041530\n",
        "1960    F         3.993481\n",
        "        M         3.999227\n",
        "1970    F         3.872816\n",
        "        M         3.928632\n",
        "1980    F         3.717687\n",
        "        M         3.687492\n",
        "1990    F         3.613303\n",
        "        M         3.556675\n",
        "2000    F         3.519964\n",
        "        M         3.482841\n",
        "Name: rating>"
       ]
      }
     ],
     "prompt_number": 84
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mrat_decade = by_decade_gender.rating.mean()\n",
      "#mrat_decade.plot(kind='bar')  # uncommment this line, and see what it looks like if you forget to unstack.\n",
      "mrat_decade.unstack().plot(kind='bar')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 85,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x6a50850>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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cr1AoUFxcDK1WC7VajdzcXGg0Gqfn5+Tk2L83Go0wGo0ehyYi6otMJhNMJpPb491a1Lih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\nxQInIpIpFjgRkUyxwImIZIoFTkQkU/8Pw+mCwq1/mUoAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 85
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Output Some Data Fast"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "by_decade_gender.rating.mean().to_csv(\"my file2.csv\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 86
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ls"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Fonnesbeck_Python_for_R.pdf    Intro_to_Pandas.pdf\r\n",
        "IPython Notebook Intro.pdf     Python_for_R_Fonnesbeck.ipynb\r\n",
        "IPythonNotebooks.ipynb         \u001b[34mmoviedata\u001b[m\u001b[m/\r\n",
        "Intro_Pandas_Movies.ipynb      my file2.csv\r\n",
        "Intro_Resources.key            \u001b[34mscreencaps\u001b[m\u001b[m/\r\n"
       ]
      }
     ],
     "prompt_number": 87
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#A Few More links\n",
      "\n",
      "* Dev site with many materials: <https://github.com/pydata>\n",
      "* Home page: <http://pandas.pydata.org/>\n",
      "* Get the book! Python for Data Analysis by Wes McKinney: <http://shop.oreilly.com/product/0636920023784.do>\n",
      "![Wes's Book](http://akamaicovers.oreilly.com/images/0636920023784/lrg.jpg)"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}