testnb

gistfile1.json

{
 "metadata": {
  "name": "demo"
 },
 "nbformat": 3,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "from IPython.core.display import Image, HTML"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "source": [
      "Pandas Demo",
      "===========",
      "",
      "",
      "",
      ""
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "![[ -e panda.jpg ]] || curl -s \"http://farm4.static.flickr.com/3113/2496129681_bf54440149.jpg\" -o panda.jpg",
      "Image(filename='panda.jpg')"
     ],
     "language": "python",
     "outputs": [
      {
       "jpeg": 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9wEaMzilA6JUdugI98OI9rIBflNol1exQSWHuQcoT0U1AsnN4K8ZioH5uT0fS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\nSP6R4cf3argSYb/RHv8Afj/x0H//2Q==\n",
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "<IPython.core.display.Image at 0x31fe490>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "source": [
      "Setup",
      "-----"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Improved maptlotlib colorscheme: http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "![[ -e .maplotlibrc ]] || curl \"https://raw.github.com/gist/816622/ab2ee6b77c2fa5702ec607b938f9217b90b4c425/matplotlibrc\" -s -o .matplotlibrc"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "source": [
      "Import pandas:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "import pandas"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "source": [
      "Downloading and Pre-Processing the Data",
      "---------------------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Vancouver bike lane volumes for 2010/2011:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "![[ -e cycling.xls ]] || curl -s 'http://vancouver.ca/engsvcs/transport/cycling/separated/documents/Burrard_Hornby_Dunsmuir_BikeVolumes_Jun2011.xls' -o cycling.xls"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "source": [
      "Daily weather summary for Vancouver:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "![[ -e weather.csv ]] || curl -s 'http://www.climate.weatheroffice.gc.ca/climateData/bulkdata_e.html?timeframe=2&Prov=XX&StationID=889&Year=2010&Month=4&Day=1&format=csv' -o weather.csv"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "source": [
      "Pre-process the data. Remove header junk and wipe out any UTF-8 characters:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "![[ -e weather2010n.csv ]] || tail -n +25 weather.csv | iconv -f UTF-8 -t ASCII -c > weather2010n.csv"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "source": [
      "Loading the Data with Pandas",
      "----------------------------"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weather_initial = pandas.read_csv('weather2010n.csv', parse_dates=True, index_col=0)"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "source": [
      "Check which columns are available:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weather_initial.columns"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "Index([Year, Month, Day, Data Quality, Max Temp (C), Max Temp Flag,",
        "       Min Temp (C), Min Temp Flag, Mean Temp (C), Mean Temp Flag,",
        "       Heat Deg Days (C), Heat Deg Days Flag, Cool Deg Days (C),",
        "       Cool Deg Days Flag, Total Rain (mm), Total Rain Flag,",
        "       Total Snow (cm), Total Snow Flag, Total Precip (mm),",
        "       Total Precip Flag, Snow on Grnd (cm), Snow on Grnd Flag,",
        "       Dir of Max Gust (10s deg), Dir of Max Gust Flag,",
        "       Spd of Max Gust (km/h), Spd of Max Gust Flag], dtype=object)"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "source": [
      "Keep columns of interest:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weather_columns = ['Total Rain (mm)', 'Total Snow (cm)', 'Min Temp (C)', 'Max Temp (C)']",
      "weather = weather_initial[weather_columns]",
      "weather"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>",
        "Index: 365 entries, 2010-01-01 00:00:00 to 2010-12-31 00:00:00",
        "Data columns:",
        "Total Rain (mm)    365  non-null values",
        "Total Snow (cm)    365  non-null values",
        "Min Temp (C)       365  non-null values",
        "Max Temp (C)       365  non-null values",
        "dtypes: float64(4)"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "source": [
      "Load cycling data from Excel file"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cycling_xls = pandas.ExcelFile('cycling.xls')",
      "cycling_initial = cycling_xls.parse('A', header=2, index_col=0)",
      "cycling_initial"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "NOTE *** Ignoring non-worksheet data named u'Chart1' (type 0x02 = Chart)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        ""
       ]
      },
      {
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>",
        "Index: 547 entries, nan to 2010-01-01 00:00:00",
        "Data columns:",
        "Comments                48  non-null values",
        "Unnamed: 2              546  non-null values",
        "Beach to Pacific        168  non-null values",
        "Drake to Davie          200  non-null values",
        "Nelson to Smithe        150  non-null values",
        "Robson to Georgia       157  non-null values",
        "Georgia to Dunsmuir     164  non-null values",
        "Hornby to Howe          311  non-null values",
        "Granville to Seymour    273  non-null values",
        "Richards to Homer       373  non-null values",
        "Hamilton to Cambie      209  non-null values",
        "Unnamed: 12             484  non-null values",
        "dtypes: float64(11), object(1)"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "source": [
      "The column names aren't quite right (they were split over two rows in the .xls), so we rename them."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cycling = cycling_initial.rename(columns={'Unnamed: 2': 'Burrard Bridge', 'Unnamed: 12': 'Dunsmir Viaduct'})",
      "cycling",
      "cycling.to_excel(\"cycling_cleaned.xls\") # export it for later use from R"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "markdown",
     "source": [
      "Combining the datasets & picking the interesting bits",
      "-----------------------------------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Join the cycling and weather data in to one combined DataFrame. Pandas joins on the index of each dataset."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "combined = cycling.join(weather, how='inner')",
      "combined"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>",
        "Index: 365 entries, 2010-01-01 00:00:00 to 2010-12-31 00:00:00",
        "Data columns:",
        "Comments                44  non-null values",
        "Burrard Bridge          365  non-null values",
        "Beach to Pacific        0  non-null values",
        "Drake to Davie          19  non-null values",
        "Nelson to Smithe        16  non-null values",
        "Robson to Georgia       0  non-null values",
        "Georgia to Dunsmuir     0  non-null values",
        "Hornby to Howe          206  non-null values",
        "Granville to Seymour    153  non-null values",
        "Richards to Homer       207  non-null values",
        "Hamilton to Cambie      178  non-null values",
        "Dunsmir Viaduct         303  non-null values",
        "Total Rain (mm)         365  non-null values",
        "Total Snow (cm)         365  non-null values",
        "Min Temp (C)            365  non-null values",
        "Max Temp (C)            365  non-null values",
        "dtypes: float64(15), object(1)"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "source": [
      "Only the 'Burrard Bridge' and 'Dunsmir Viaduct' routes have a good amount of data for the year. We extract just their columns and combine with the weather columns."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "route_columns = ['Burrard Bridge', 'Dunsmir Viaduct']",
      "interesting = combined[route_columns + weather_columns]",
      "interesting"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "<class 'pandas.core.frame.DataFrame'>",
        "Index: 365 entries, 2010-01-01 00:00:00 to 2010-12-31 00:00:00",
        "Data columns:",
        "Burrard Bridge     365  non-null values",
        "Dunsmir Viaduct    303  non-null values",
        "Total Rain (mm)    365  non-null values",
        "Total Snow (cm)    365  non-null values",
        "Min Temp (C)       365  non-null values",
        "Max Temp (C)       365  non-null values",
        "dtypes: float64(6)"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "source": [
      "A first look at the data",
      "------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Let's summarize the data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interesting.describe()"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Dunsmir Viaduct</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Total Snow (cm)</th>",
        "      <th>Min Temp (C)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>count</strong></td>",
        "      <td>   365.000000</td>",
        "      <td>  303.000000</td>",
        "      <td> 365.000000</td>",
        "      <td> 365.000000</td>",
        "      <td> 365.000000</td>",
        "      <td> 365.000000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>mean</strong></td>",
        "      <td>  2963.600000</td>",
        "      <td>  955.633663</td>",
        "      <td>   3.261370</td>",
        "      <td>   0.046027</td>",
        "      <td>   7.584658</td>",
        "      <td>  14.370411</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>std</strong></td>",
        "      <td>  2473.173617</td>",
        "      <td>  536.824069</td>",
        "      <td>   6.626832</td>",
        "      <td>   0.627280</td>",
        "      <td>   4.911383</td>",
        "      <td>   5.738725</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>min</strong></td>",
        "      <td>   226.000000</td>",
        "      <td>   51.000000</td>",
        "      <td>   0.000000</td>",
        "      <td>   0.000000</td>",
        "      <td>  -9.500000</td>",
        "      <td>  -3.200000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>25%</strong></td>",
        "      <td>  1633.000000</td>",
        "      <td>  544.500000</td>",
        "      <td>   0.000000</td>",
        "      <td>   0.000000</td>",
        "      <td>   4.200000</td>",
        "      <td>   9.900000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>50%</strong></td>",
        "      <td>  2680.000000</td>",
        "      <td>  832.000000</td>",
        "      <td>   0.200000</td>",
        "      <td>   0.000000</td>",
        "      <td>   7.200000</td>",
        "      <td>  13.800000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>75%</strong></td>",
        "      <td>  3980.000000</td>",
        "      <td> 1433.000000</td>",
        "      <td>   3.600000</td>",
        "      <td>   0.000000</td>",
        "      <td>  11.500000</td>",
        "      <td>  18.600000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>max</strong></td>",
        "      <td> 40358.000000</td>",
        "      <td> 2099.000000</td>",
        "      <td>  55.800000</td>",
        "      <td>   9.600000</td>",
        "      <td>  19.400000</td>",
        "      <td>  29.800000</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "       Burrard Bridge  Dunsmir Viaduct  Total Rain (mm)  Total Snow (cm)  Min Temp (C)  Max Temp (C)",
        "count      365.000000       303.000000       365.000000       365.000000    365.000000    365.000000",
        "mean      2963.600000       955.633663         3.261370         0.046027      7.584658     14.370411",
        "std       2473.173617       536.824069         6.626832         0.627280      4.911383      5.738725",
        "min        226.000000        51.000000         0.000000         0.000000     -9.500000     -3.200000",
        "25%       1633.000000       544.500000         0.000000         0.000000      4.200000      9.900000",
        "50%       2680.000000       832.000000         0.200000         0.000000      7.200000     13.800000",
        "75%       3980.000000      1433.000000         3.600000         0.000000     11.500000     18.600000",
        "max      40358.000000      2099.000000        55.800000         9.600000     19.400000     29.800000"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "source": [
      "Let's do an initial plot to see what we're dealing with:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize=(16,12)",
      "interesting[route_columns].plot(figsize=figsize); plt.legend(loc='upper left')",
      "show()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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D+k1tc4es6GSHXnbo5Y9Gduhlhk7BsLkFACCiuHMLAIA5Zm4BAIioP2/dpX97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\n2kFUvJFtT2Z5vOTLbncgSZ4nRJuesvHKf5wkNjGIu+5LvKmRb4fDweu//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3p6Orm5uZhM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\nAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "source": [
      "Looks like there's some problem with the data. A huge outlier is probably an erronous data point."
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Dealing with outliers",
      "---------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Find the index of the outlying datapoint"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interesting.xs(interesting['Burrard Bridge'].idxmax())"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "Burrard Bridge     40358.0",
        "Dunsmir Viaduct     1592.0",
        "Total Rain (mm)        0.0",
        "Total Snow (cm)        0.0",
        "Min Temp (C)          10.5",
        "Max Temp (C)          18.4",
        "Name: 2010-06-29 00:00:00"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interesting['Burrard Bridge'].describe()",
      ""
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "count      365.000000",
        "mean      2963.600000",
        "std       2473.173617",
        "min        226.000000",
        "25%       1633.000000",
        "50%       2680.000000",
        "75%       3980.000000",
        "max      40358.000000"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "source": [
      "Remove the outlier by replacing it with None. Pandas deals with this as \"missing data\"."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interesting.set_value(interesting['Burrard Bridge'].idxmax(), 'Burrard Bridge', None)",
      "print interesting['Burrard Bridge'][pandas.DateRange('2010/06/29', periods=1)]",
      "interesting['Burrard Bridge'].describe()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2010-06-29   NaN",
        "Name: Burrard Bridge",
        ""
       ]
      },
      {
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "count     364.000000",
        "mean     2860.868132",
        "std      1506.876058",
        "min       226.000000",
        "25%      1627.250000",
        "50%      2677.500000",
        "75%      3962.000000",
        "max      6808.000000"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "source": [
      "Missing data points can be interpolated when required."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "late_june = pandas.DateRange('2010/06/25', '2010/07/05')",
      "interesting['Burrard Bridge'][late_june].plot(figsize=figsize)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x3b4c790>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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33nsBsFqt3HHHHe0BZNasWd22m01qjJ3rxoSzdMtxFl47YlBOaVQUT8fx7eLJ1fvLKa5q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\nJm9QU94AAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "interesting['Burrard Bridge'][late_june].interpolate().plot(figsize=figsize)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x3b6f750>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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3pOL7Qi9U8bCFBBkBgFBfE7+aFM2Lm/JplLNnbFJa28hr2wr5j+sSlD0kLMjb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\nICMIgiA4DAkygiAIgsOQICMIgiA4jP8PQBvKuva/XmcAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "source": [
      "Finding trends in the data",
      "--------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "A quick look at all the data plotted in a matrix to visually identify trends or clusters."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas.tools.plotting",
      "sm = pandas.tools.plotting.scatter_matrix(interesting, figsize=figsize)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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pERJi0bdv57s/SZ3fwIEm2dku0tM1wsNFPfp8gwYZHDokesxDQiz69ZPHmTcp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\nYJeUaJKSZL3U1Li4rqK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+7HDypMz9LVzoc+qUUK22b49QXe2xaVNMZO9pgOcZEhN9Nm/2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ds2HxkZQR3Oqbkj+vtV1MWX++WXOXrUZO9epWd55IjSs8zJuTMPen//iMQaDOXNqdPibdt8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\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mj67+aJkZGCODszFSnjB/vgzKShnWrAlmpFF+Njo6FGNjp+SxsXGGhfnPA2MkOyAryxCL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\nAAAcRDAHAAAAAMBBBHMAAAAAABz0G2pr0tDfE7s7AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "source": [
      "That's a lot of graphs. Let's focus on just the burrard bridge, total rain, and maximum temperature."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "burrard = interesting[['Burrard Bridge', 'Total Rain (mm)', 'Max Temp (C)']]",
      "sm2 = pandas.tools.plotting.scatter_matrix(burrard, figsize=figsize)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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2J06EOHTIABRDh1rEx3fZ2xNhIoW4EKJTlIIPP/Tw+99HoRRMnhwiEAhx550m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\n+xnWxPF9eOutINu2OeTnS95/P0BioqKmxmLz5gjR0YqsLEVenqCjQ3L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IS4OKCo+KCkVJ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EIpCTI6H3mZlyGh6NGkZGpLVudbVUX6+u9rEsePddd7rQ2muvRWbkgJ8/7zA+7tPe7mCMxciI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\nW7f6ZGcbnn8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ppZRSs0gX4koppZRSSiml1CzShbhSSimllFJKKTWLdCGulFJKKaWUUkrN\nIl2IK6WUUkoppZRSs0gX4koppZRSSiml1CzShbhSSimllFJKKTWLdCGulFJKKaWUUkrNIl2IK6WU\nUkoppZRSs0gX4koppZRSSiml1CzShbhSSimllFJKKTWLdCGulFJKKaWUUkrNIl2IK6WUUkoppZRS\ns0gX4koppZRSSiml1CzShbhSSimllFJKKTWLdCGulFJKKaWUUkrNIl2IK6WUUkoppZRSs0gX4kop\npZRSSiml1CzShbhSSimllFJKKTWLdCGulFJKKaWUUkrNIl2IK6WUUkoppZRSs8id6wFciZ/97Gc0\nNDRg2zbf/e53KSsr46c//SmdnZ1Eo1FuueUWdu3aNdfDVEoppZRSSimV5urr6/mnf/on1qxZwze/\n+c3pzx8/fpxnn30WgEcffZS1a9d+bmO4Jhbijz32GACnT59mz549fPe738WyLL73ve9RXFw8x6NT\nSimllFJKKXWt8DyPBx54gIaGhunPhWHIM888w/e//30AfvSjH1FTU4NlWZ/LGK6p0PSmpiYqKyun\nPzbGzOFolFJKKaWUUkpda9avX09OTs6Mz8XjcSoqKohGo0SjUcrKyojH45/bGK6JE3GAJ554guHh\nYZ588kkAMjMz+eu//mtycnL41re+RXl5+RyPUCmllFJKKaVUujh+/Dh79uyZ8bk/+qM/YtGiRZd8\n7ejoKNnZ2Tz99NMAZGVlMTIyQkVFxecytmtmIf5f/st/4cyZM/zkJz/hr/7qr/j2t78NQGtrK//8\nz//Mf/7P//kjv7+2tnY2hqmUUp+IXqOUUulOr1NKqWvN+vXrWb9+/RV9bU5ODmNjY/zpn/4pxhj+\n/u//ntzc3M9tbNfMQhwgPz+fMAxnfC4SieC6H/9rbN68+fMallJKfSq1tbV6jVJKpTW9Timl0t3V\nbhZ+MM25vLycrq6u6Y/j8fjnGnV9TeSI//jHP+bJJ5/kqaee4jvf+Q4A/+N//A+eeOIJ/vmf/5nH\nH398jkf48fbv3z/XQ9Ax6Bh0DGk6BqWUUlcvHa/f6TgmSM9x6ZiujI7p8/H888/zzDPPcPjwYZ56\n6ikAbNvm4Ycf5gc/+AE//OEPeeSRRz7XMVwTJ+Lf+973Lvncf/pP/2kORqKUUkoppZRS6lp2//33\nc//991/y+Q0bNrBhw4ZZGYNlvgSlx1977TUNp1JKpS0N+VRKpTu9Timl0l1tbS233377XA/jil0T\noelKKaWUUkoppdQXhS7EZ0k65FLoGHQMOob0HINSSqmrl47X73QcE6TnuHRMV0bH9MWlC3GllFJK\nKaWUUmoWaY64UkrNMc29VEqlO71OKaXSneaIK6WUUkoppZRS6rJ0IT5L0iGXQsegY9AxpOcYlFJK\nXb10vH6n45ggPcelY7oyOqYvLl2IK6WUUkoppZRSs0hzxJVSao5p7qVSKt3pdUople40R1wppZRS\nSimllFKXpQvxWZIOuRQ6Bh2DjiE9x6CUUurqpeP1Ox3HBOk5Lh3TldExfXHpQlwppZRSSimllJpF\nmiOulFJzTHMvlVLpTq9TSql0pzniSimllFJKKaWUuixdiM+SdMil0DHoGHQM6TkGpZRSVy8dr9/p\nOCZIz3HpmK6MjumLSxfiSimllFJKKaXULNIccaWUmmOae6mUSnd6nVJKpTvNEVdKKaWUUkoppdRl\n6UJ8lqRDLoWOQcegY0jPMSillLp66Xj9TscxQXqOS8d0ZXRMX1y6EFdKKaWUUkoppWZR2ueI/+xn\nP6OhoQHbtvnud79LWVkZx48f59lnnwXg0UcfZe3atR/5GJojrpRKZ5p7qZRKd3qdUkqlu2stR9yd\n6wF8nMceewyA06dPs2fPHv7tv/23PPPMM3z/+98H4Ec/+hE1NTVYljWXw1RKKaWUUkoppa7INROa\n3tTURGVlJV1dXVRUVBCNRolGo5SVlRGPx+d6eB8rHXIpdAxfzjEkk3DkiM1bbzl0dFzcsPqyPQ/p\nPIZrQV8fHDjg8M47DiMjcz0apZRKz+t3Oo4J0nNcOqYrky5jev88YP/+Y3M9nC+EtD8RB3jiiScY\nHh7mySefpKuri+zsbJ5++mkAsrKyGBkZoaKi4iMfY//+/ezcuXP6v4FZ/fjEiRNz+vM/+FzMxc9P\nl49PnDgx5+OZzffDs892ceCAw8KFC3nvPcPGjUdxnD6mzPXrMdcfp8P7ISsri3Q2Nga//nWUCxdk\n77a93eb++z3ca+IOopRSSqlP44PzgIyMCraGIqPVAAAgAElEQVRvR+cBn1La54hPOXPmDM888wzf\n+ta3eP755/nTP/1TjDH8/d//PQ899BDl5eWX/V7NEVdfZv/n/1y8cALcd1+KNWvCORyR+qB0z72M\nxy2efjoKSERFNGr4kz9Jkps7t+NSSs2edL9OKaU+P9fKPOBayxG/ZkLT8/PzCcOQ8vJyurq6pj8f\nj8c/chGu1JfdggUXF93RqKGw8JrYe1NpJCfHUFh48ePy8pDMzLkbj1JKKaVmzwfnARUVOg/4LKT9\nQvzHP/4xTz75JE899RTf+c53sG2bhx9+mB/84Af88Ic/5JFHHpnrIV6RdMjv0DF8Ocdwww0+u3Z5\nbN3q88ADHuXlZtbHcDk6hmtDTg58/etJtm3z2bHD4667PCKRuR6VUurLLh2v3+k4JkjPcemYrkw6\njCknB772tdT0PKCy8ojOAz4DaR/Z/73vfe+Sz23YsIENGzbMwWiUuvZkZcG2bcEVfe3EBESj4Dif\n86DUNae0FPLzfUDeI0oppZT6YjFG5oKZmfDBhlRlZYayMpkH7N8/OAej++K5ZnLEPw3NEVfqo3ke\n/P73LnV1Dvn5IXfd5VFSMtej+vK4FnIvjx+32bcvgm3D7t0eK1ZonQGlvkyuheuUUuqTGxmBV1+N\ncP68TVVVyB13eOTkzPWors61liOe9ifiSqnPz+govPWWS2enxbvvuixYYBgfd3j3XcO99/pzPTyV\nJvr64Oc/j9LS4uA4MDgI//E/JknzYu9KKaWUugKtrTYvveTw5ptRFi4MGR+3qKgI2b79yiIq1SeT\n9jniXxTpkN+hY9AxfHAMx487HD3qMjRkc/68Q0+PxCFNTFgf892f3RjmWjqMId0ND1ucPu0wOmox\nNGTR2OgyMTHXo1JKfdml4/U7HccE6TkuHdOV+bzHNDoKe/dGGBhwGBmxaGpySCYlWnKuxvRloQtx\npb7ERkdlwR2LGZYtC/B9i2jUsGnT7O6A+j7090MiMas/Vl2hjAzDli0+QWAAw6ZNvuaJK6WUUtew\n8XEYGJCc8EQCCgtDiopCfB9ycw0rV2oK2udNc8SV+hJrabHZsydCKmVRWhqwdWvA/PnhjBYVn7ex\nMXj55QgtLTYFBYZ77/UoK/vCX5ZmSPfcS8+D//t/I5w65WBZsG2bz4MP+pcUclFKfXGl+3VKKXXl\nzp+32Ls3yugorF3rEwQWJ07Y5OcbFiww7Njhk58/16O8epojrpS6ZixdGvL/2Tvz4Diu+85/Xh8z\nGNwXAQIgQPAAwQO8RYqUeFPUFR3WYUmWY9mKpVTKcdaVpOKt2rI36yS7qaR25d2UHW8ky7KitWUr\nOq2LlsxLJMX7BG8SAHEQxEEQ9zEz3f32j0eABAmSIImjAb5PFas4mOnu77zpft2/97uefTZCY6Ng\nzBiPtLSh13DypMGJE6pMe329YN8+k/vvd6ivh7NnDZKSJOPH316Gud9oalLh6WlpEtOEujqDjg6I\nixtuZRqNRqPRaPpLOAzl5YING2zq6wW2Dfv3Wzz6aITCQg8pIS/P01FvQ4QOTR8i/JBLoTVoDZdr\naGqC1lZBWtrwGOF9jYPnQW0t/OY3QT79NMB//EeAI0cGb6ryw2/hd6JRKCszqKsT1NQIqqoMPB2x\nptFohhk/zt9+1AT+1KU19Y+B0nT+PKxda7F1q0VJicoFdxwAAQgmTfKYPLl/Rrgfx2kkog1xjeY2\nxXXTefPNIO+8E+BXvwpSXj48ccaTJ3tMnOgihCQlRTJnjktlpUFHh7igU1BSoqeq4SYlRbJxo80X\nX9hkZKhVc41Go9FoNP6nrg7eeCPIa6/F8Pvf28ya5SGlRyQCU6e65Ofr1fXhQOeIazS3Kdu3m2za\nZPe8njfPYc2a4WlZFg5DSwvExqpw5+PHDd5/30at0sJdd0VZunT0ttDwe+5lWZng+98PAQIhICFB\n8j//ZwcpKcOtTKPRDBV+n6c0Gs3V2b7dZN06m4MHTTo6BAsWRBk/3mXlSoesLLDt6+9jJKBzxDUa\nzbASjSpDtrNTkJ/vMmZM35+LiVEVsLuN3VBo+NbkgkF66Swo8Fi1yqGkxCAjY+iruGt6k5SkqqeW\nlJgYBhQWuoRCw61Ko9FoNBrN1WhoUEV5AwGwLIllqeerqiqDrCzJ8uUueXnDrfL2Rsd7DhF+yKXQ\nGm4PDdu3m3z8sc369TZvvx2ksbHvz3V07GL+fJfERMn06S6zZw+9sXu1cTAMWLDA5Zlnoqxa5RAf\nP/QaNBcJhWD6dIeUFNXapLDQHTWr5xqNZuTix/nbj5rAn7q0pv5xM5ra2uDDDwOsXx9g7Vqb5mbB\n/PkOOTkeTzwR4ZlnIuTn37wDxo/jNBLRHnGNZpRx9KhJt5e7pUVQV2eQknJl7o/ndXLPPQ6rVjkY\nQ7Qk19EB27dbVFcLJkzwMAxdlnMk0Nysbupjx3oYhlplb2+HxMThVqbRaDQajaYb14Vdu0z27DFp\nbDRITfVobTU4dszixRfDQ/rMp7k+OkdcoxllfPKJRXGxWmOzbcnXvx7xTV/u3nnpkgceiDJrli4Q\n4vfcy7Nn4b/8l1jOnVN374ICh7/7u65BjVTQaDT+wu/zlEajgWPHDD74wKajQ3DwoMXixQ4gmTjR\n48kno8Mtb9DROeIajWZYWbrUIT5e0tYmmDLFGzYj3POU1zQQUDngoFqlXUTQ3j48ldo1N4YQqt5A\nTo6HEBAXp6umazQajUbjF9rawDShrU3V/omNVdXQQyGPWbNcZs3StXb8iA5OGCL8kEuhNdweGhIS\nYNkylwcfdJg8+ere5sHUEA7DZ59ZvPpqkF//OsDZs8rgnjDBw7aVBRcTI+nqOjZoGvqLH84Hv5OS\nIiko8CgtNTl9WjB9ukdc3HCr0mg0tzt+nL/9qAn8qUtr6h/X0iQl7Nxp8uqrQX7xiyCGIYiPV89+\naWkea9Y4LF/uDniXEz+O00hEe8Q1Gs2AU1pqcOCAylWvqxPs3Gnx6KNRJk/2ePrpCE1NgjFjPE6c\nqAUKhluu5jq0tkJ5uUF2tvKInz5t0tXlEBs73Mo0Go1Go7l9qasTbNpk4XnK4bF9u82TT4Y5d84g\nMVGSm6vD1/yMzhHXaDQ4DuzebVJaqlpa3HnnrRlZhw4ZfPzxxUJskye7PPHE6M9Nuln8nntZVwe/\n/GUQKdWNPiZG8tWvhtm3z6KtTTBrlsu0aTrXX6MZzfh9ntJobifKygx27TKJiZHs2mX11GyJi5O8\n8EKYmJjh1Tdc6BxxjUYzbEQiqsJ1KMQNFdI6ftxg0yYLEFRWKkNr8eKbzyeaMMFj4kSX0lKD2FiY\nP1/nJo1k0tPhrrscjh41MQzV1337douTJ9UtpKrKIDk5QlbWqF/X1Wg0Go1m2IhEoLoaNmwwqa83\nCAYhPV3S0aFq8ixZEr1tjfCRiM4RHyL8kEuhNYxuDe3t8OGHNq+9FuTf/z1IVdW1C6FdqkEVUbv4\n+ZaWGy+iVlsr2LrVZPduE4BHHonyzW9GeO65MPn5fXtLR+tvMdoQArq6YN8+k4MHLaJReiqoAziO\noKNDF97TaDRDix/nbz9qAn/q0pr6R7ems2fh5ZcD/NM/hdi2zSI1VRIOQzAoefbZCN/8Zpg5c4Ym\nOs2P4zQSGREe8VdeeYXq6mo8z+M73/kOmZmZ/PSnP6W6uppAIMDy5ctZsWLFcMvUaIaV0lKDU6eU\nEdzaCnv2WIwb179w8Nxcj2BQEg4LLEsyYcKNTeTNzfDuuwFaWgSuC0eOmMyZEyUvT5KUdMNfReMz\nqqrg1VeD1NSYCAG//KXg+ec72bAhAAjGjnXJzNSh6RqNRqPRDDSGYVBSAh9/bPPRR8Georfl5ZK0\nNI+JEz3y8iRCr4ePOEZUjvihQ4fYtm0bL774Iv/6r//KU089RXp6+nW30znimtuBy/Oyp093efjh\n/udl19aqwmpJSZK8vBubFk6fFvz2t6pHWVmZQWcnLF7sEAzCk09GSEi4od3ddvg99/LYMcELL8TR\n2qq84Pn5Lv/3/7bT1mbQ1QXjx3skJg6zSI1GM6j4fZ7SaEYrJ04YbN5sceiQwcaNAdLTJTExkocf\njrByZZTx4yWBwPX3czugc8QHkZiYGGzb7nk9gtYQNJpBZ9Ikj+nTXU6eNEhIkMyf79zQ9pmZsl89\nx8+fh7Y2QVqa7GlhlZQkiY+XNDcLzp0zmDLFIRIRPa8TEobHW9rcDDt3WjQ1CaZOdZk5U3ttb4a4\nOMny5Q4ffxzAsiR33eUQEwNZWXo8NRqNRqMZDM6cgS+/tDh71qC9XRAIwLx5DpWV6jnr/vujN+w4\n0fiLEZUjvmHDBtasWQNAKBTiX/7lX/inf/onampqhlnZ9fFDLoXWMLo1hELwwANRnn8+zB//cYTs\n7GtPzjejobTU4N//PcibbwZ57z2blhb195QUeOyxCIsXOzzwQJhx4zw6OwWBgOzpZzlQGm6E7dst\n9u61KC01WbvWprz8yrgtP5wPfseyADzuvz/CvfdGiUQkl6yJajQazbDgx/nbj5rAn7q0pqtTUwM/\n/3kM//7vMZSWRtm82SQry2PmTIfvfa+L//yfu4bVCPfLOI10RoxHfPfu3WRnZ5OTkwPA888/D8Dp\n06d54403+Ju/+Ztrbr9lyxaWLFnS839gSF8XFxcP6/EvH4vhOL5fXhcXFw+7nuudD0IEiY+/k/Z2\nQTh8DNuu7df+LQsOH+7/+SAlbNu2HyEiLF688Lr7P3DA5OTJygtb51FW5tLa+kXP+9nZDpZ1iJMn\n08nJyWXGDJcTJ7Zy/LgclvE+d05QUVGh1Obl0dYm2LJlc6/P++F8iPV5Q+7WVoFhCFpalFFu29DW\ndmOV+TUajUaj0Vybzk44cUJQVWXQ0CAQAioqHBYu9EhIgNmzHebM8S4skGtGOiMiR7y0tJStW7fy\njW9844r3zpw5w1tvvcVf/uVfXnV7nSOuGWls3WqyZYtqJ6aqYYbJyBjYY4TDsHGjxYkTJmlpHvfe\nG+V6JRc+/dTi4MHu2V/yyCNRX/eP3rPHZN06CykFiYmSp54Kk5Y23KquxO+5l1VV8ItfBPj88wCm\nKXnssSjPPx/ReeEazW2E3+cpjWak09oKv/xlgO3bbVJTPcaNc9mzx6Kz02Dhwgj/6T9FdAHc66Bz\nxAeBl156ibS0NH70ox+Rl5fH888/z49//GOampoIhUJ8+9vfHm6JGs2AUlpq0N1OLBwW1NcbZGQM\nrMF74oTB/v0mIOjoMNmzR3LffdfOK7/jDofz5wXnzxtMneoyaZJ/jXCAefNckpIk7e0wbpznSyN8\nJBAOC/bvt7Bt5Rnfu9fk618fblUajUaj0YweDh822brVpr1d0Nhokpwsuf9+1Rd8xYqoNsJHISPC\nEP/JT35yxd+u5QH3I5eGxmsNWsP1NOTkSKqr1f9tW5KSMvCBKydPngam9LyORK6/zZgx8LWvRQmH\nVU56f2hrg6YmVY398urpg/1bCAGTJ197scAP54PfsSxITYUJExykBMcB0xxuVRqN5nbHj/O3HzWB\nP3VpTSo68dw5Ff3oOJLEREl7u8A0ISFBsnq1w9mz28jOXjRkmvqDH3+7kciIMMQ1mtuNRYsc4uIk\nra2CCRO86xZeuxkyMpppb3eprjYJhSSzZrn92s4w+m+E19XB++8HaWwUJCdLHnts4EPsNYNPTo7k\nzjujvPFGENOE73yni5SU4Val0Wg0Gs3IJRyGtWttjh0zsG1YujTKrFkOgYBFQoLHgw+q1mSVlTfW\nBUczchgROeK3is4R12j6pr0dzp8XxMfLQTGstmxRYVbdzJ4dJSUFAgHJtGkeMTEDf8yRiN9zL+vq\nBD/7WYDaWhPDkOTleXznO2FdrE2juY3w+zyl0YwkysoMTp0SfP55gNRUiRAwZozHU09FepwXl0cR\naq6PzhHXaDQjhrg41SN6sLi0qmc4DKdOWbS3q9z3ujrnujnpGn/gOJKyMpOGBtXxUldr1Wg0Go3m\n5igtNXj3XZv4eMnx4waTJ3tkZEiCQUl8PMTHj3ofqeYCI6qP+EjGD/32tAat4XoaamoEp04ZtLYO\nzDFmzHCZPNklJkYybpyHaV68uZw6ZbJ9+56BOdAt4Iffwu8YBixe7JCZ6ZKd7TJ7toPn7zp9Go3m\nNsCP87cfNYE/dd1umpqa4NQpgzNnBJ6nCqEuWaJqr6SleSxb1rdz4nYbp9sJ7dfQaG6B1lbVYzk5\nWTJYraDb26G5WZCQMLhhSseOGXz8sY3jCDIzPR577NbbZCQkwGOPRenshK4u+NWvgj3vZWV5QPTW\nDqAZEkIhaG5WfeddVxX2G460gsZG6OoSpKZKgsHrf16j0Wg0Gj9QXAw7dwZobRU0NAhyc10aG00C\nAY/nnutixgyJbV9/P5rRhc4R12hukqoqwQcfBGhrg5wcj4cfHvjWEufPw+9+F6C2VpCcDI8+GmHs\n2MG5ZH/7W5vTpy+Wwn7wwQhZWR5Hj5oIAdOnu6Sm3toxKioEx46ZxMRIZs92h6wVR7eH36/5Vn7P\nvTx7VvB3fxfDmTMGhgEFBS7/9b92Del4njxp8NFHNpEIFBZ6PS1dNBrN0OD3eUqj8SOdnfDBBxZv\nvx2gvNzknnuiZGRIMjI8xozxSEuTzJrlaSN8gNA54hrNbcLhwyZtbSrf+cwZk1OnXObPH9h43ZMn\nTWprVQZJUxMcOWIyduzg5FUnJCgD33XBNFXhkA8/DFBXp45fUWHwxBPRHk+ke6HI+o20scrLk+Tl\nDW1e+IEDBhs3qjvc8uVR5szRMdU3SlubpKLCIBJR4XRnzwq6uoZ2YWP7dpNIRF1vx4+bTJvmUlio\nf0uNRqPR+JPWVti0yeR//+8YAgFBY6PgD3+w+cY3Iowf77FkSf+61WhGLzpHfIjwQy6F1jCwGi43\nQG/EIO2vhktzqgEsS71uboZDhwxKSoybztW9XMPs2Q5CSCorBZmZkoQEj/p60fP+2bMGHR3q/8eP\nG/z85wF+/vMAJ07c/DQy2OdDczNs2GDT1SXo6hJs2GDT1DS0GkYDXV3wR38UoaDAZeZMh2XLVC/5\noSQQuPSV1AXjNBqNL+dvP2oCf+oazZq2bDF46aUgBw+a5OV5tLYKsrIkcXGS3FyX2bP7b4SP5nG6\n3dGPMhrNTTJnjkNNjeDcOYNJkzymTBl479zUqR6VlS7l5QZjx3rMnOnS0gLvvqs81UJIli93uPPO\na0/oXV2wc6dBZaVBTo7qU24YATZtMtm82SYuziM31yMQgFmzXBoaBDU16phnz6oVhpwcj7g4aGlR\nfS+7upSRvnatTXa2P1tZSan+XfpaFxm7OTZtCnDggIGUkmhU8NBDQxvZcPfdDq2tgvZ2waxZLuPH\n6x9So9FoNP6isxPWrjX4x3+Mo7lZMG6cy+LFDo6jagp997tdPPqo9oRrFDpHXKO5BaJRZeTGxanK\n0oOB60JHhyqYZVlw4oTBe+9ddA+mpnq8+GKk5/XhwwZlZQapqZI5c1xiY2H3bsH69QHa2gTZ2R4L\nFjiEQvDTnwapqFCG9pIlUerqDDIy1JSweHGUoiKXo0dNDAOmTXNJToaGBnjttSCuqwxx25Z861th\nUlOVkXvunIoOSEvr3/drbr5YgKuvHKnTpw2OHDGIiYG5c50b7ne+c6fJ5s0WUsLSpddftBgO/J57\n+eWX8Ic/BGhsNLFtiI93eeaZCFOmDK2OSET9i4sDIa7/eY1GM3D4fZ7SaIab/fth3boAdXWCmBh4\n5ZUgKSmwfHmYFStcJk50ueOOUW92DSs6R/wa1NTUUFNTQ0xMDPn5+cToSjuaEY5tM+gFNkyzdy5u\nXJzENGWPIZyWdnFSLy01+OQTG89T77kuLF3qsm+fzebNSujhw5LJk92e1hndxMbKnp7i8fGSggKP\n1FS4++7ehmtKCsyf77JzpzLg5893SUlRRvgXX1js3GlimrB6dZSpUz0OHTLp6IAJEzxyc3vfgE6d\nUgW4wmGYPt3j3nujvaphnzsH771n9+QGNzYKnnjixiqtL1yobn4A6ek3tKnmAsEg7NxpcfiwjRCw\nbFkUy4pcf8MBJhC4PERdo9FoNJrhZ88e+Ld/C7F5s3oGS0vzeOKJKJ99ZjF7tsc99zi3XPBWM/oY\nkhzx48eP84Mf/ICf/exnbNq0iQ8//JAf/OAHvPrqq3R1dQ2FhGHHD7kUWoN/NOzYsYubjUXJyZHc\nf3+U3FyXGTMcli+/aJg2N9NjhAM9hdY6Oi7msLuuIBSSdHQcIS/PwzAgEJDExkqef76LZ54J8/Wv\nh8nK6lugYcCyZQ7PPhvh2WcjLF3qIATU1Ql27jSRUuA4gm3bLDZtsli3zmbbNpt33glQX997X2+/\nXXthMUBw5IhBeXnvKam11egxwgFqaw2iN9HxLD396ka4H84Hv9PebnDsmElamiQ5WXLs2MV6ARqN\nRjNc+HH+9qMm8Keu0aKpvBw2brTZt8+iqclAStV2dsoUhx/8oIuvfz16S0b4aBknzZUMukf8iy++\noLi4mO9///skJib2eq+4uJiXXnqJ7373u1e8p9GMVg4fNvjkk3wOHw6wapVDfv6N57oWFXkUFV25\n3dixkmBQEg4LhJBMmKA8wQsWuJw759DRIRg71qOw0GPPHpuHH46wYkWEmBjlsW5qMti4UU0LK1Y4\nFBT0rc00ucK7bRgqXLh7gSEUopdhHQ4LGhoMxoy5uE/Lkj3V17v3eylpaR7p6ZJz5wQgmTLF1S0+\nhoGkJI+vfjXCZ58FsG145JGob1vBaTQajUYzFJSUwJtvBjl92iApCe69N8LLL8fgeSqVbuHCKHfe\nOdwqNX5m0HPE169fz6pVq676fkNDA5WVlcyZM2fQNOgccY1faGiA118PEo0qL29iouSBB8LYtiA7\nWw5I3mt1teDMGUFiIhQUKI+346hK5x0dMH68R0mJwebNNlIKcnJcHnssipTwi18EqagwqK01SE31\n+P73O8nJufIYUqq2YEeOmKSmShYvdkhKUvnYX35pYVnqhlRRYbJ+vQo9T0ry+Pa3w732V1EhWLs2\nQHu7KhK3fLlzRTXshgYoKzMIBmHKFK9X6Ppowe+5lydPwg9+EMu5c6qP+IQJDv/4j11Eo4JIBDIz\n5aj8XTQazUX8Pk9pNEPJZ58JiottfvObIKmpkvp6+MpXojiOCktftSrCzJnDrfL2Q+eIX8a1jHCA\ntLQ00vpb1UmjGSKkVAagYTCgOT3RqOgJrfY8VXhNCJuWFoMlSxzuuuvWC4llZ0uysy9vewYzZng9\nx33nHWWEg+qBXlvrkpzscf684ORJE89T4cg7dlgsX64KpF1ajK683ODzz1UeVGWl+tv99zssXOgy\nbZqLaUJMDFRXS+LiPFpbDbKyPHbvNklNdQmF1DZ5eZLnngsTiag8+L4WItLSlGdcM3w0NAjOnhXE\nx6vfqKrK4OhRwfbtAVxXUFDg8uCDUXTZD41Go9GMZtrb4fPPLf7lXwJkZqrWqOfOqYjE7GyPwkKX\n+fM9YmOHW6lmJKD7iA8Rfsil0Br6p0FK2LHD5Je/DPLaa0H27LmBBuHXIS1NMnOmS0VFBZ2dMG6c\nR0eHgZSCXbss2toG7FBXRS0ueFRUVAAqPDwUkiQnK6+0lBIhJNOnu2zZYvHWWwHWrbNwLulW1dbW\nOxe9oUH9v7JScOCAyfHjBnV1qsDXgQMWp0+bfPZZgNpak+rqi9POli1biImBxMThq4Lth3PS79i2\n5O67XfbsMdm/3+Seexx27bJ6CgaePNn7d9VoNJqhwI/ztx81gT91jTRNZWXwyisBfvGLIGVlFtnZ\nLp2dYFnKC75yZZSlSwfeCB9p46TpP4PuEd+9ezdFRUVXVEhvaGjg6NGjLFmyZLAlaEYhUkJJiUFL\nC2RlyasWFrsZGhpgy5aLRsbmzRYFBS4DUcbAtuGeexxsu4WcnDDr19u0txs9710eln0rtLWpMRIC\nJk/ufWNYtSpKQ4OB43hMm+Zi2xLDUJXOu7pUdfI9eywKC1127LD4/HMVgrxypUNsLGRne6SkSBob\nRY/RXlcH77wTuFB8TTJ3rksopFqSdXZCMCgBSSCgW3eMNDwPSkoEDz6owjkqKw0KClwiFwqnCyGx\n7Rv/XaNRVTm/s1OlTOjgKI1Go9H4kc8/N9i3z6KszERKsG3Bhg02y5ZFWbUqyt13O0yYMNwqNSON\nQTfE33//febPn3/F35OSkvj0009vG0PcD99zNGkoLjZYu1aFVweDkqefjvTbGL+ehu6iY90IMbDe\n2kAA1qyZDEg8z+GLL2wsS3LPPc6AhfaGw/DppzalpcqbX1jo8tBD0R5Df8wYmD8/g507Yd8+i6oq\nkzvucAgGJffcE6W62iAUgkOHTBoaDAxDcuaMwfHjBnPnqrZmTz4Z5swZg7g4Vejt6FHjknZogupq\ng/vvj9LVJaiqMpgzx2X6dJdx4y7+Tpf/FvX10NBgkJIiycwcGoPdD9eF33FdQWOjoL1dIIRaqHnu\nOYf9+wWdnYI77nB6/a79Zds2k23bLED1kX/66fCALHhpNJrbAz/O337UBP7UNRI0tbbC+vUWr70W\n4Px5g9OnDb75zQiOo6IcV66M8sgjzqDeu0bCOGlujiHpIy76sGKsgXT9aW47SkrMnhzncFjlr96I\nV7ymRuVqZ2bKK/oSp6aqiuGbN1sIAStXXlkhOhyG2lpBTAxkZNycwSglpKd7PPRQmMxMBrTYVUuL\nKnDWTUmJwfnzcPy4CiHOz/c4edKgo8MgEJDU1hq88UaAtDSYMkXl+4ZCDocPm4RCkiVLlBHf2qq8\nmLatxik19WLudlqa8nZ3txvLy/MoKJD85V+GkVJ932v1gK6uFrzzToCODkEgIHnssehNVZTXDDwx\nMZKHHnL4/HMb24YHHnBITpY9DyOX/q7nzkFHhyA9XV4zPM/zYO9ei+Zmg1BIcv68oK7OIDFR/+Ya\njUajGX7271cpdnV1Jk1NaiF67FhJaf97rsYAACAASURBVKnB5MkuL77YxaxZw61SM5IZ9KS+aDRK\nRx8NZ1tbW3EuTTod5fghl2I0abi0BZYQ8oZWIj/4oIr/9/8C/PrXAT7/3OoJr+2mqQkmTHD5kz8J\n8yd/EmbWrN6GQbe3+c03A7zxRoDi4hu/jL788kt27zb5P/8nhn/4hxC/+lWAlpYb3s1VCYXoGZNQ\nSJKT43LqlMGXX6p87Y0bLbq6mgCIjZUcOmRi28qAPnHCoKFBUFjo8Rd/0ckjj4QxTdiwwWLDBpt1\n66w+e3lnZkoefzzCwoUOK1dGWbxYXd+WpQz3vozwS8+HsjKDjg6lIRIRlJQMTc6xH66LkUBxsUl+\nvkdWlsfhwwaWxYUe9Bc/c/KkwRtvBHnzzSAffGBfs+ZBZaWgoUFQXGxy9KiJ50kSEnTagkaj6T9+\nnL/9qAn8qcvPmjZtMvjnfw7xt38bT2WliRDqWSYtzeOBByL89V8PnRHu53HS3BqD7pZ+6KGH+NGP\nfsR9993H2LFjAaiurubTTz/liSeeuO72r7zyCtXV1Xiex3e+8x0yMzM5ePAgb7/9NgBPPfUURUVF\ng/odNP5j3jxVXby+3mDSJJdJk/rnRYtEYOfOGBITlcF36JDJzJkueXnKANi/32DDBhspJfPmqZ7V\nCQmSadO8nv7VVVUGx4+rkG/HgW3bLIqKIjcUvi5ELJ9/bnP0qIXrwnvvGeTmuqxZc+tV0wHi4+Hh\nhyMUFxucPGly7JjJnj02BQUujY0Agri4TiZOdIhEoLnZ6YkwCASUBxQgPx8SEx1efjmGwkIP21bF\n2IqK3D5DkcePl4wff3MLbHFxKoccxCWvNX6gq0vQ1iZYu9bGNOH++yO0t1/5ub17zZ6IiIoKk/Jy\nt6da/+Xs22eRne0RE+PQ3g6LFztDlo6g0Wg0Gk1fBALxvPmmxY4dNtu2BRg3zmPnTouHHgrT2ipY\nuNDhwQcdkpOHW6lmNDDohvjSpUuZMGEC69evZ8+ePQCMHTuWv/qrvyKnrwbFl/Hiiy8CcOjQIX73\nu9/xwgsv8B//8R/88Ic/BOC///f/zowZM/oMf/cTfsilGE0aYmNhyRIXuDHD1TShqCiLM2ckrisw\nDHoM7LY22LTJJhIRJCdL/u3fghQUeMTFSdrbHRYvVseybVVVvNtwjYm5ev/vlhYoLVU9sCdPvmjM\nz58/h/XrJe4F+cEgtLYK9u83yM72yMjo/3eqr6cnV9s0JS0tguxsj5wcSWur5MABQSgk6OhQHsvc\nXInrSpYsGUNurjKai4pctm61CIdh0SK3V8u2xEQVgt7YqDzUl47ZrXLp+TBtmkdzs0tJiUFursfM\nmQOzKHEjGjR9I4QkJkZy//1RTFMipaSp6crP9U6vkNc8T2JiJC0tJoGAqtqfkaFD0jUazY3hx/nb\nj5rAn7r8pqm4GI4du4Pjx82eIrZnzqhUK4BvfrOLuXOHXpffxgn8qWkkMiSJ2uPGjeO55567pX3E\nxMRgWRZnz54lKyuLwIV4yMzMTGpqasjKyhoIqZpRTEMDfPGFTXW1uBACK5k/3+2VW95tUHd2Cjo6\nDITwAMHp00aPIZ6bK1m2zGH3botQSLJyZd8e4PZ2eP99m7NnTUByxx0uq1erzwYC8PDDUaqqVDj2\nXXc5bNlicfKkChV/6qlIv7yDZ87Aa68FKS016eiAqVNdLAuSkuDpp8O9PpuWJklL81i0KEpaGr2+\n97hxkqef7iPeHBVafu+9Dm+9ZVNWZrBwoUskMvCey2AQli93WL58wHetuUVCIeUV37pVWdZf+UqE\nhgaV93/pItTixQ6trdDcbDBjhsvEiVc3ru+4w+H8eUFDg8HUqR6TJ2tvuEaj0WiGh82bBf/jf8RS\nX2/S3Azf+lYXixap57RVq6I89VSYadOGW6VmtDFiGr9u2LCBe++9l7a2NuLi4nj99dd5/fXXiY2N\npbW1dbjlXRc/5FLc7hq2b7c4ccKktLSKxkbBihUOd9xx0esaHw8rVkQJBiXx8R6TJrk9xaZyclwq\nKwUffGDz0UcW+fkuL74Y5lvfipCb27cB0dAgLhjhAIKjR03CF2zjLVu2MGuWxw9/2Mn3vteJYUjS\n09V7HR2C6uorXeyHDhm8847K0W5tha4u2LDBZu9em+Jik+pqk6NHLVpalHF/5ozBhAnKs2xZksRE\nyb33RikqUu3ebuS3SE72SEuTzJ7t0tBg8PHHQTo7+735Vbndz8mRQnOzyueOiVEpA9XVgpQU+Owz\ni3fftTlxQt1KMjMlX/96lBdeCLNypXPNdnzp6fDMM1FefDHMmjXONQv5aTQaTV/4cf72oybwpy4/\naOrqgt/8xmD9epuGBoOWFkFammTrVptJkxy+//0O/uZvhtcI98M4XY4fNY1EBt0j/qtf/YqnnnoK\n+yoxisePH6ehoYG77rrrqvvYvXs32dnZ5OTkUF1dTXt7Oy+88AJSSn7+85+T2I9KXVu2bOkJo+g+\neYbydXFx8bAe//KxuNX9GYbB9Ol3IQQcPvwlnudd9fObNx+isjKNrKxcDGPMsHx/y7Jobl4KQG1t\nHQDR6NgrPj9rlkdr6x7AYMWKIsrLDZqayrHtNj78cNaFgmqt7NtnsGpVkLlzXfbt6/v4U6cuIRCQ\nnDpVeeH9HAKB3udDdjaUlW0hFJqIaaoGlFVVFdTVtQMTevbX1ZXFvn3T8TxBRUUF5eUea9aMpbVV\n0NnZSVubRVxcgNRUj+rqVjo7G0lIyCQYhOTkrSxcmMD8+dMJBuF3v6vi/HmL9PQ8PA++/PL64+e6\nY2homIWU6vgxMYJodAyh0PCdzwP1uri4eNj1xF6rvLgPsCxBR4fk7rtVO7qxYz06OrjQekwV2vvj\nP1ZRHIZBv9vw3chnbzdOnzYoKTGIjZXMnOkSHz/cijQajWZ0cfAgrFsX4OxZg/HjXaqrISfHo7zc\n5MEHw3z1qxHtBdcMKkJKOajxgCdOnOA3v/kNjz/+eK9c7tbWVtatW0d5eTl//ud/ftV2ZqWlpWzd\nupVvfOMbAHiex9/+7d/ywx/+ECkl//AP/8Df//3fX1PDunXrmDdv3sB+sducPXsM9u9X3t558xzm\nzu37NIpG4e23bSoq1GdTUiTPPhselofKQ4dU73HXFWRkeDz+eISkpP5tW1cHL78cJBwWrFtn43mq\nrdnq1Q6rVqmCZ30ZFCUlBgcPqhZgd9zh9Hi9L6e9HXbtsmhoEIwbp8LLPU9QWOiSmKj6pn/0UQDP\nU6HiqrBblDffDBAXJ/nyS5vMTI9x41yCQdXXedYs74rc9QMH1BiAQAjJww9HmTbt+rm50ajyfh46\npH7HhQtdVqxwBrS/+u3M3r17fT1HHToEn38e4L33AnR2Km/BokURtm8PYJowbpzHX/91F1Om6Dzv\ngaC2VvDrXwd6Ct/NmeNw333XL4IopfLuxMSgr03NgOP3eUqjuRF27oTXX49h40ab8+dNZs6M8uCD\nEU6etEhP93jiibBuTTYC2bt3L6tXrx5uGf1m0D3iU6ZM4bvf/S5vvfUWP/nJTwgGg0QiERITE7nv\nvvv43ve+d83tX3rpJdLS0vjRj35EXl4ezz//PE8++WSP8f3Vr351sL+C5jIaG2HPHpPdu9Xp43kw\ncWK0T6O2sxNqaoxe27a1CeLjhz4ftKjIIyUlQnu78ujdSMuzpCRITpacOmX0bN/UZHDihEFbm0VV\nlUlhocuyZU6vglWTJnn9qugeF6d6l4fD8O67FhUVamxLSw0eeyxKICCpqBDU1ZlkZ7usWuUxZgys\nXu2wfbvBo4+Gyc72yM2VZGZe/Tjnzhl0VyWXUoUb9wfbhnvucSgs9DAM1SNcP+jfPsTHQ1eXpKtL\n9VGNRKC8XNU+aGszUOu5Osd7oGhqEj1GOEBl5fWzyNraYP16m/Jyg5wcj3vuid7QHKfRaDS3A64L\n77xjsXatzYkTJgsWuHz6qcHRoyb33it44IEu7r5bkpIy3Eo1twNDUqwtNTWVP/uzP0NKSWtrK8Fg\nkGDv8rpX5Sc/+ckVf5s9ezazZ88eaJmDyqWh8SNdQ3s7bNtmU1pqYlnKC/PQQ30b4nFxymg7daq7\n3VclCQk3UBL8FnV++aVFZaXBpEkeixY55ORItmzZzJQpNzYOwSAsWhQlNhbOnxe0twtcVxIbKykp\nMXEcwd69JtnZ3lXbNQG0tkJtrUFV1TFWrJhyxfstLVBVZfa8rqw0aGuD3btN5sxx6ejwiImRZGSo\n3PYZM659vMuJj/dISHABwbFjVWRmjr2hMZg8eWA9nqPpuhjNdHYKPA/y813CYbWYlp3tkpnpEQgI\ncnJcneM9gKSlecTGSjo6BCD7tZh35Ijqxw5w8qTJ2LEed901NJ0H+ktzM2zebFFfbzBtmsuCBS6m\nef3tNJqr4cf524+awJ+6hlrT0aNqDvrtb4PExgo8T3DihMmMGS75+R4rVkRw3R2kpNw5ZJr6g/7t\nRi9DYoh3I4ToVz63xt9Eo3D2rCpoAZCcbFy1TZFpwn33RcnL83AccN164uKGxhAvLjbZu1ed4vX1\ngqQkjzlzrv5AW1JicPjwxTDyy1dDCwslpaUeS5eqPNm5c12amwW1td2eK0Ekov534oRaXY2PV/tK\nSlIPoe++G6CuzuDs2WQyM41eYeHt7crAyctzOX3aBARjxniEQtDZadDUpLxikYggGjUAD89T4ean\nT5tkZnrMm+deNed23z6DTZts6usNxo71ePTRKAUFOpRYc31iYiRxcZIFC9RiVE2NgWkaxMV5BAKS\niRNln33lNTdHejo8+WSE0lKVI96f9JHuuefia/+FrOzcaXH4sJqT6+oEqalSpzNoNJohYe1agz/8\nIYBhCFJSJKWlBuPGeSQmSu6+22HZsggzZsCWLX13kNFoBoMhNcRvZ/ywajRQGmxb5Udv2mQhBCxd\n6hAKXf3z8fGwYEG3Z2bGgGjoD+3tlz6Iip7XfY1DfT387nd2z8Nrc7PgyScvTsbRKDgOPPCACh/v\njgRobBScPGkSDguyslS7prNnBR9+aOM4al8dHfDwww4VFQZ1dcqYzsrK4+BBt+cBu6EBPvggQH29\nwLJg8mSXtjbB7NkuoRAsWuTw+9/bOA4UFroXKqZbeJ5k1y4LIdSqrmGoPuCXI6XKQZdS9cN0HMH4\n8bnA8D4Ej6brYjTT0QH79wcIhSRHj5rU1hokJEjWrImwcmWEhQul9mwOMFlZkqys/nu0p0xxOXzY\noqlJtWcsLPSXNxzoWbxVCDo6hk2KZpTgx/nbj5rAn7qGQlNjI2zfbvLf/luIjg6Dzk7B3XdHSUz0\niI+XPPZYhHvvdUhIGDpNN4rWNHrRhrjmhhkzRvWrTk5WeaEzZrjExd34fsJhOH7coKtLMGGCy5gx\nA6tz0iSPgwclkYggFJJMmHCtkHGjlweprs7AcZTB3dICn35qc+aMQUaGCnHfvNkiGhXk5Xk8/XSY\naFQVsOrogIMHTc6cMYiLkzQ3G7iuyb33Ohc81ZLuHG3Vy1xx/Lh5wcsIFRUGkYiqPl1fb5OYGKWo\nyCMjI0xXl6CjQxn6nicwDElNjdHTE7yxUeA4qlDTpYaREJCYKGlsVK8NQxIIaA+mpn+0twt27zYo\nKlI54W1tgqQkSXu7gesKTHN0nUtSwqlTBufPCzIyrj13+IWMDHj22TCNjeq36W8hyqFk+nSXsjJ1\nziQnS3Jz/T+uGo1m5HLqFGzdqgrhlpRYTJzo0dAgqKgweOqpMHPnOixePLruX5qRxYjpIz7S8UO/\nvYHSEAzCvfc6rFjhsGaNy+LF/X+YulTDli0Wn35qs2GDzbvvBmluVuHhX3xhsm+fQUPDrenMz/d4\n9tkIjz4a4WtfC5OdLa/Q0M2YMR7p6d3fQzJtmtvTA/noUZPTp02iUcHZswYbNyojfP9+i9/8JsCe\nPRa5uZJIBN5+O8jp00r7oUMWFRUC24YtW0wmTvRYutQhKckjFKrgzjtVFeT2dvW99+yxOHXKoLER\ngkFBYqLEdUXPOGRkQF6epKlJ5TUBFz6j3jcMSSgkeeWVID//eYCTJ3tf3itXOowf75Kc7LF6dZSq\nqi9vbYAHgNF0XYxmpJTccYeL56me8klJkpgYj/x8t2cRaPA1qOKFhw4ZNDUN7rGOHTN4/32bjRtt\n3nnHpqRkZNwqExLUHOFHIxxg2jSPZ55Rc/LTT4dJSxtuRZqRjh/nbz9qAn/qGkxNH31k8NJLMbz/\nfpDYWJUmWFlpMG6cw4MPRlm9OtqnEX67jdPN4kdNIxHtEdfcFKEQFBbevDfDdZUXuNs73NICO3ZY\nrF1rceqUxdixKhf7wQejt/Swlpkpycy8vqGQkACPPx6hrMwgJoZeudPeJV9TCLUQsWOH1VPJ+A9/\nsBg3TuXAd3ZCNCqYNcujoUEVWWprExw/brFsmctdd7ksXuyyY0cpaWkqV/7wYZO2NsHUqQ4lJSah\nkEdJiUEgYFBY6DBmTG/9GRkS01RGeksLPPtshGBQEgjAxo3WhRB8we9/b5OdHe6JVsjMlDzzTBQp\n1ffYsuX6oat1dbB1q017O8yb5zJ9uvZg3Y54nvonpWTRIofERMnYsS6eJ7CsoTHE9+wxWb9epVek\npUmefDJMcvLgHKu62uhZ7HJdQU2NYNKkwTnW7YaqJaA9UBqNZnDo7ITNmwX/63/F0tQkCATgpz8N\n8Bd/0cmyZRZ5eR4PPRQdtPuHRnMjaEN8iPBDLoWfNJgm5OR4HDum4qeTklRrsPp6EynpKT4WCsHy\n5dEBDVvvaxxqagQHDigts2a5vYrPTZ3qUlJiUF1tkJIiWbQoyrZtVk+4d2urYNs2i9paQVqaMlha\nWgTBILS2CsJhQW7uxX0KAYsWLerZfyQCLS0Gkye7PWHl0aigq0uwYIFLfr56aG1pgb17LTo6VGER\nx4HUVMnUqR6mqfLcOzsvhte3t8PevSZNTYKCAo+pU72e419tHC5n3bqLPeBraw1SUyOMHTtwD9F+\nOic1VycaFXR2ChobDXbuNMjMdMnNdaiosCkvl4wfP/j5yIcOmUipTt6GBkFNjUFyskdzs7ou2tth\n6lRvQCr7p6Z6XEwjkaSkaMNRo/Ejfpy//agJ/KlroDXt3w+ffGIjhEpJrKszkBJSUwWOY7B4cZSV\nK699j7gdxmkg8KOmkYg2xDXDxsqVUVJSPDo6BNOmuRw8aLF/v6ShQdDUpFY16+uVZ/fpp6NXVGYv\nKTGoqlIh3DNmeDfdPqmjAz76yKahQXm4KytNnn02TGysej8lBZ58MkpLi2rHFhcH3/pWmE8/tenq\nUt0AXFcQCglaW1WbM9uGzEyPsjKTmBiYM8fpOV59PRw7ZmKaUFTkUlDgUVws6ehQuZMxMZCSIgkE\nPMaPv3jD2LLForjYIhxWueCPPBIhPf1ikay0NOW13r3bRAgYO9Zj926LSERw4oQkLi5Cbm7/DQrH\ngcZG45LX4oKhr42S2434eElRkcOhQza2LSkqcunqUufCpbUOBpO0NEltrfq/YajWgQAbN9o9C3on\nT0qefTbSKwqmpkZw4oRBIKCut/j46x+rqMjD8xxqawU5ORcXsTQajUbjTzZtMli3LnChDoVk3DiP\nmhrjQuRglGXLohQVDbdKjaY32hAfIvzQb89vGhITYdmyi560xMQoris5eNAiEJAkJ0s6O5VHuauL\nXoZ4RYXg/fe7K5NLwmGnz2rh19MAyhBvarroSW5qUn+LjVVGc3m5aiHkuoJwGMaP91i40CMvL0Jd\nnWDrVouWlu5q6B4rVrgYF+zXKVOcXsdua4P33w+yf38leXl5nDlj8PjjUb72tTBNTQIp4eBBi64u\nZVSnp1/ctrrauJAna9LQIDh0yOT4cYtnnw2TmAiGAStWOBQUqONv2WL2FKBzHEFra28j+nrng2Wp\nBYTNmy1AefUzMnQf8duRSAT27LFobDSwLElmpkF2tsf8+c510xXKy8WFVlX0qx/21ViyJIplSZqb\nBdOnu+TlSaSEs2cvXruRiDrPuw3xpibVMlCd+yqq49FHr9+axrZh/nz/VR3XaDS98eP87UdN4E9d\nA6GptVWlCP761wE6OwU7d5o8/rhDVRX86Z+GSUyUrFwZJStr6DQNNFrT6EUb4hrfkJICX/mKw333\nOXzyiUlJicoHnT7dIS5OPXCfP696azc0QDAoCQYlUgrOnDGAm3twTkxUhd1KSpRXLT/fIzFRtRT7\n6CObjg6BEKqaeSCgHtKfeSZMQYFk7FiJ5zls324TCklWr472GOF90dKivkM3Z84YdHRAcjIXqtDD\nhAl9GwrTprls2CBoaRGkpXnYtmqz1tSkogJAhfzn5ckL30NSXq7Ca+Pj5U0Z0YsWuYwdKwmHITfX\nu6nq+JqRT0yMMnBra1UP+l27bKZMcSkpUfl3c+e6Pa1fLqWszODdd1XHga4u+PrXw9x9980Z4ykp\nqn3gpQihCoBt367qIiQny0uKLqoFtm4jHKCy0iAS4aajZzQajUbjH4qLVVRUTY3Bnj02iYmSoiKP\nykqDjAyXBQsizJ8/3Co1mqsz5Ia44zgYhoFxLWtlFOKHVaORoiEUgjVrXCZMUGHXU6Z4nD6tqhhH\no4KkJI+YGPj8cxvPU56rRYuc6+73ahoCAbj//ignTypDvqBAhbnX1QmOHzc5dcqithbmzHGprRWc\nO2eQluYhpcOUKR5z5njMnBnGMC7mX1+NxERJaqoE8gCVJ98dAn897rzT7Wn509WlDPCkpKvnry5Y\noD7f1ga5ubKXd72vcegLw4CJEwcvLHeknJO3O2PHqjaFlqX63GdkuIDgk09sDhyQVFRE+cpXoleE\nfVdXC0pLTbZvt3AcdW2np3dRWDhw4ex33eWQnu7R1aWiVS4twJOcrELnu43x8eNvPoVFo9H4Dz/O\n337UBP7UdSua9u2Dl16KYefOILNnO+Tnu5w6ZTJliseqVVGWLLm5UPTRNk6DhR81jUSGzBAvKyvj\n5Zdfpq6uDoD8/HxeeOEFsvobK6K5rUhMhHnzLhqAZWUG0ah6mBYC9u83mDbNo6VF4DiSaFTwyScm\nY8ZIZs92b/hhOz4e5s7tbXBKKTh6VOVbx8fDkSMW06c7tLaqBYLSUoMpU9Q2pqmKqXV1QWoqPa3P\n+jrOV74S5tgxE8uCGTPcXv2+r4X6vMobP3TIJBpVixR9eSK7NXXntkoJ586pv19ukGs0/WHKFI/Y\nWKdncWfHDgvPE8TEeJw5Y1Jb6xIf3/saSk6W1NSoegPdaRFHjpgUFvZ/4czzoLjY4MwZg4wMdX1f\nmqZi2+q66IvkZNUN4eRJFc0yY4YON9doNJqRTHMz7Nhhsm+fSUyMIC/PZds2i6eeClNU5LBsmYqs\nvNqzkUbjJ4bMLf2zn/2Mp59+mldffZVXX32V++67j5/85CdDdfhhZ7j77ZWVGfzqV9UcPGgQvX6K\n5KDR33Ho6IDdu022bDE5e1Zc9oAvSU5WBc3Gj/fIz5esX29TXGyxfr1FcfG1Ldu+NEQiKn9bXuKo\ny8rymDPHJS3NY8IElwULouTnu9xzT5TWVtGrSNWpUwavvRbkl78M8vvfq4JqV2PMGBBiE4sXuyQm\n9ms4CIeVPlDG/KJFLkuXuv1qzQbqpvXLXwZ5/fUgu3ap8Rnuc1JrGDkEgyoNorHRoK5OUFDgUljo\nMmmSy5gxqp1ed/G0S5k61ePRR6PMm+ewerVDXZ2qSN7WxjWvkUs5dsxg7Vp1fa9bZ1FcfOVtq6UF\ntm832brVpKGh93tjx0qWLnW5887+FWrTaDQjBz/O337UBP7UdaOaDh+GX//a5sMPVYHdjz+2mTpV\nFb2NjYVvfjPMk0/emhE+GsZpKPCjppHIkHnEA4EAc+bM6Xm9cOFCPvroo6E6/G1NZaXgvfdsSkos\nqqpsurocFi70t2do82aL/fvV6bl/v+SJJ8IsXOhQWSmYONFlzZooBw5YNDUJ4uIk9fXdp7KgoeHK\n+PBuA7uv0PGKCsHatQE6O2HuXIclS1Sxs5QUeO65CDt2mNg2LFqkin+cOmUxaZLH7NkXx3DbNvNC\nFWnVZmnKFK9XL/Kr0dLChZ7hkokTJaFQ7/fr62H/fouKCrWAMmuW6kN+vRD4Szl/HrZutXBdtdGW\nLRYFBf7+/TX+oq5OFcQ5d07Q0mKSmurxR38UprLSpq1N5Yj3tShkmirtIxpVi1VPPKF6j7/6apBQ\nCO6/P9JT0+BqNDaq/G+F4Px5A7h4bUWj8OmnNqdPqwWmEydMnn460u+UD41Go9H4n02bBK+8EuLU\nKRPDgPHjXR5+OEowKFm6NMzXvhZh6tThVqnR3BhDZojPnj2bI0eOMH36dAD27t3LzJkzh+rww85w\n5lLU1wuiUUFenspLrqoyhs0Q7884eJ6qDN5Ne7ugvd1g5cqL4aznzkF1tUlbmyApyeXcOUFGhkQI\n1bLiUsrLBRs22ESjsGSJc4WGjRutCw/7sG2bRV6e19O7e9Ikr1el59xcWLz4ypCCy8PLr1cCYcmS\nJXR2wscf25w/L2hoMGhrU1XPly1ziI9XxeLeeivIpk2qivrKlQ5ffmkyfrxHTk7/c2yF6L0AIYTS\n54f8Hq1hZNDSIjhwwOL0adXL2/MgN9dlwQKH6dMlu3YZvPxygJQUyapVUcaMubhtRgZ8+9vqmjl9\nWvDb3wYA1Qlh40aL5567dohOdrbEsiSOIzAMSU5O7+u7o0N1FOimrk4VNOzLQ6/RaEYXfpy//agJ\n/KmrP5ocBz76yGTzZovNmy1sW83vNTUG+fkR/vRPHSZMGLhaNiN1nIYaP2oaiQyZIf673/2Od999\nF/tCcl84HCYYDPLhhx8ihOD1118fKimjkkhE9csNBFQo5qWkp198kAVJdvbw9cStqIB9+yxOnTJJ\nS/NYtsy9ohiYYUB+vuorDhAKSVJS1Gfa2mDnTovqasGJEyZZWR5tbQYLFqiJODVVMnnyxf2Fw7B2\nbaCnPdnatTaZmWFSU9X7UtLTBSooVwAAIABJREFU4qsb5Tm+8iG+sVHlxTY3C2bOdHu1bVqyxOGT\nTww6O2HmTLdX/++r0dQkeiqx79plYVkq7DwtTXLnnS61tQYtLQLPEz1tywoLHdwbXENJSVE927/4\nQl17K1dGe4XEl5Ya7NljEgzCnXc6/Q5319xetLQYNDYaOI66rlJTJadOWcTHO7z1VoDSUguQ1NYa\nvPBCuMcj3dqqvNqJifKKczcSUef2tSI8JkzweOKJKLW1grQ0eUULtNhYlUZSXq5Ww9LTh663+WDT\n1aVSdM6cMcjN9ViwoHd+vEaj0Yxmdu+G3bttyssN4uIkmZketbWqds/cuQ6PPBJlwoTRMd9rbk+G\nzBB/4403hupQvmQw++1FIvDZZxaHD5uYJqxeHe1VeCwvT/LII1G2bz9DUVHOVQsbDTZtbfDmmw1U\nVeVy+rRBKATnzkX5kz+5aBh3s2yZQ0qKpKtLMHmyS1qa+vu+fSa7dlkkJXlUVgoCAUF6ujIK7rzz\nSgs1GlUPs91EIlBcfILly6cAygBYutThk09sIhFVzOlyj3o3X3xhc+yYetivrDRISor0eKbz8iTP\nPRcmEqGnp/e12LJlC7NmLSE+np6KzqGQxLIu6k1IkNi2ZPx4VQl0zBiXqVNdsrJu/KYzd67H5Mnh\nC/u9qGH69CV88IHdsxjR1ATPPhu9arG5gcYPfSj9oMHvWJZk4kSHnBwPz1PnZkeHMg7PnIEDByzq\n69VJn5kpOXpUMH++pL4e3nsvSGOjaqH30EMRZsxwOXzYJBBQC1j9SbPIz/fIz+/7PduG++6LcuSI\nh+uqNn+jpc3eoUMmW7cqy/v0afUgOnv28C2kajR+w4/ztx81gT91XUtTTY3gn/85xKFDFgkJHrNn\nO6xc6VBZ6TF3rsODD0aYMWNoNQ0XWtPoRfcRHwXU1AgOHzYBgevCtm02RUXhXp6TggKP2toS5s4d\nvir1nZ0QDl/M4e4uQNbZeaUHOi5OFSS7nNZWSEz0aG+HP/qjKJ4nKSiQ3HFH31WY4+Jg3jyHL79U\np3pRkYttN/X6TH6+x9e+FgaUx+1qHqf6+osWg+sK2tp6646N5Yq8VNdVxaYaGwU5Oaq4XGcnmKZN\nYiI88kiE4mKD+nqV6x4ff9Hjl5sreeihKMePm6xeHaWwUBXGutRIjkbVv/7kw/ZVvKSjQ/SKCGhq\nUn2Wh8oQ14wMYmNh1iyHsjID0xRMm+ZgWTB7tsvp04LcXI/6elXrIC/PpbVV5ZWvX29z+LDBmDGS\ntjbVyuy++xzuuMMlEJBXLMDdLCkpcPfdVw8VkVKFsAeDI+vcvrQHOojLXms0Gs3oo7ERDh1S94va\nWhPXhfPnTTo7JTk5Dl/5SherVnm6A4xmVDBkjySvvPIKO3fuJHxJqdzbKSR9MFeNLEt5YL0LjpKY\nGNlnS6zhXrlKToZ58zIwDJcdO0zS0yWFhd6Fvtr9IzER/vAH5cENBj2+//0uFi68uoeorU157+6+\nO0pWliQ3VxIILOx5//hxg3XrVD/ypUujV4T1X0pRkcsXXwikFKSnS8aOvb5n6uBBg88+swkGoaLC\nZfNmg8ZGk3HjltDaGiU3V5Kb63LnnZ00NhqkpHg93n9QVaenTvU4dw5+/3tVJbSgwGXlSoeGBsHa\ntTbt7YLZs12WLHH63QoNuvPUlcddhfWqXtGXF4wbTIb7nPSLBr+TnQ0TJrg9aRsJCR5lZQYnTphM\nmuRy111RUlM9hICkJNWz/p13gnR1qZSK9nZVvDAQUAtd17rOBppoFL74QkUMJSV53HefM6THvxXy\n8jz27lVpRWqRQ3vDNZpL8eP87UdN4E9dl2s6fhw++cTmyBGT8eMlqake586ZRCKQl+ewZk2Eu+4a\n3Pl7JIyTH/CjppHIkBniZ86c4cc//jHxun/MgJOdLVm50mHHDotgUHLPPdHrhkbfKMePG2zdamHb\nkuXLnetWOu6L9nblfc7MjLBkiTLMJ0/2btjw+//snXl0VOeZp5/v3ltV2he0CxBCEmITO2ITttkM\nGDs2eEnipJ2l08n06TM9PTl9unvmzKSTSbr7n97mdDrTs7TtdPa443iJN2yDMRa7EYsQIAFCO9r3\nrere+33zx4ckZEkgMIgC3+ccH1NSVd23SnVvfe/3vu/vl58vCQYhJkbR0zNaQfmTx3vtNR/19TrJ\nXL7cJTd3pHLe3w/vvuujv19Xmd56y8eVKw7V1Sbz52t18mur46tWuSQlKQYHYeZMSXz8jWOtrzeI\ni1PU1RmcO+cjLU2RlKS4fNng3DljeBMhKQmSkiZeZJ84YVFXp7Ps06ctsrL0DH1rq/5DHz5sMnOm\nHDNvfyMiI+Gxx2yqqvRrzcmRN6XI7vHZoLoaDh/2s3evHyHg8ceDzJsXoqbGYvlyl0WLXCxLV5yX\nLLGJijLo7ob0dElhoU1Dg0FOjr7fVFNZafDxx7pjaGDA5PBh2LnzLno43gS5uZIvfCFEe7sgJUXd\n0liKh4eHx73ABx8Y/PCHEVy4YDF9uovP57JkiU1mpiQjQ7J9e5CVK+92lB4et5cp8xHfsmULf/d3\nf8eLL77ICy+8wAsvvMCLL744VYe/69xpv72VK12++c0gX//6xHZA48XQ0gL19YJQaOLnbm/XSWpL\ni0FDg8GePSanT4thX+vJMKQA/i//0sj+/T7S02HpUjmhr29dneC113y8/rqP+vqRzDA5WQu3paUp\noqMVyckTJ57t7eJqEg4gOH/epL9/5H1wXUaJR9XVGdTWmnR2Ghw6ZFFRMfr0MAzd4r9okSQhYfSx\nBgfhwAGTf/93H8eOmThX8/30dElbm+D0aYuGBpODBy0SEiRNTT0cOuTj/PnJnYKf/PtI+UmROTF8\nzMky9D7ExEBBgWTuXDnlQlDh4EMZDjGEO11dgg8/tIiIUAQCiv37fSQkDImkCfbv99HcbFJba3Lh\ngo+EBElqquTgQYvz502SkhQFBc4okcBPQ3m5wcsv+9i926Kj4/r31efFyLkyWf/ycGHGDMXixdJL\nwj1uicl8x9/LhOP1OxxjgvCMq7i4mMZGePVVvT4qL7doazM4d07/PzUV/uN/HOC//bepS8LD9X0K\nN8IxpnuRKauI//rXv+aRRx4h6hbMXc+dO8dPfvITFixYwHPPPQfAj370IxoaGvD7/Tz00ENs2LDh\nNkd87+H339z9S0t127TjaJGyhx92CATG3i8YHPkSVwp++tMI3nhDsXy5wx/9UZDExImPUVFhUFNj\n0N8/sgB2HMG5cybz5k1cyX7zzRGl88ZGg9/7Pa3CPHeu5NFHbRobDZKTJQUFEyfi0dE6aQgG9fNM\nmyZHvb7YWO0N/tFHFlLC8uXu1Qo7gKC/X/9rYEBXz2NjJ36PT582KS7WWWxlpUFUlGLhQsmSJZKP\nP9ZK9ZGRis5OgwsXTEpLTSIjBS+/7OMLXwiRl3f9RfaiRS6VlSb9/YKMDJesLIXf7/Dmm9qWLT9f\nem2rHneMiAhISVEcPWphGNr/OyNDMX++y+XLgvh4bR3Y1SXo7tYz27NmSc6dg5QUSUqK5PRpi/nz\nbaTUooB+PxNuxF2PxkbBG2/4rrpAaHvDJ5+cuMKthd5cqqq0Q8HKlXfHutHDY6o5fdrgvfdu/B3v\n4XG38PkW87//d4ADByxmz5YkJ0scR+vV5OW5FBTYzJ9/t6P08LhzTFkiXlRURGRk5LCX9c1g2za7\ndu2ivLx8+GdCCL797W+TfI+oNYTDLMW1MbguHDgwspgtKzNZuFCO68WYlKRYsEBSUiKoqLCQUlBf\nb9DXJ3jwQZsHHhg/AaypEfzud/oY2udbkp09c1h1eSK0mJlCCL1Yd10tcBYVpVXOFy6Uo5TfpdRJ\n/idb3KdNgyeesDl1ysSytO3F0aMmOTkPMCSytnq1y+zZWgm6rw/eeMNHQoJO3pWCpia9KdDergWp\nduywxxU9G9o00GgfY9CKzps2OfT1CRxHsGyZTWMjrFsXTUeHrpQnJSna293rertnZSmeey5IX58g\nIUERHQ3x8ZLk5CCDg3pm/WYXWOH2mfwsxxDuuK7WD4iJUcTEQEaGS18fmKb28D582GJwUPDQQzZL\nlzq0t0NxsY9z53RHyqJFDgsX2jiO9g4/dUrb5T3yiD3GjuxG9PaK4esWaN/w61mgRUfr60BbmyAy\n8vYJxHl4hDPjfccXFLhkZ99fnRXheP0Ox5gg/OJ6+22D0tJk3nvPR2enQX+/YO1al5YWl7w8yc6d\nQRYtmvq4wu19Ai+m+5kpS8TPnz8/KpEe4rvf/e4NH7t48WLOnj075udK3V9fKFOJYUAgoBhq2RRC\nWxSNh98PW7faxMUJHMfgwgWLYFD//HpV+Pb2kQXztGlapGnaNEliIhQWTtxHbRi6kn7unP54btkS\nmrCltaUF3nvPx+XLJtnZLhs22EyfPvL72bP15sLBgwZ79/oAvRh/9tkgKSn6dV/rm711q8Mvf+nH\nNHXCMH26GrZlqqoyqahwWbFibOKQnS05fVrhulpU6VoLtPx8yZe+FKKnR29GnD1r8v77gqoqi5QU\nfb+PPrLIzXVHCbV9koQESEgY/TfS9/fOA487i98PJ0+aGIbgzBmDtDSD9HSJ40g+/thk9mxJb6+g\nq0swb56ivl5Xn7OzJc3NgoEBwdKlLrW12rN+aJRi/36L3Nyb65lNTdVVE62PoFi0yL2hrkFEBMNW\ngx4enwXG/46/uzF5eIAe5du92+RHP4ogPh4uXTLJyZG0txuEQg6f/3yIdevkdbstPTzuF6bssvy9\n733vtj5fZGQk//RP/0RMTAxf/epXSU9Pv63Pf7u5E357vb1QXGxRX28wd67L6tXudWd8r41BCO03\nvnu3j8FBQWGhw4wZEy9UAwGdCObnS6qrHZqbBTt22CxdOnE1KzVV4fcrQiGBYSjWrXOAQ6xatWrC\nx4C27ImLg/x8XSFWSgwrwn+S48ctTpywqKgwOXzYpLtb8MQTNpmZo1/LhQt68Q9QXl5Lc3M6AwNa\neE1KbR02Y4a+PdIuK+jqGn28ifZ+8vMlzzwToqNDkJqqxhw/I2NEaGn1apfu7noSE7Pw+3U13bIm\nfu47RTh4QHox3BsEg4IVKxxsWzBrlj5fGhsNamt114dSetEfE6P/rTfcFEJIZszQ1mfJydDd/elj\niYuDJ58MUVlpMDAgyM6e2pGMtjbYv99HR4d2K1i+/MYbAR4eU40QsGXL6O/4+3EzKhyv3+EYE4RH\nXBcu6G6p7m5tAdvdLXjwQYeODkFOjsPjj4fYsuXujtmFw/v0SbyY7l+mdH+0ubmZ+vp6li1bBsDg\n4CARERG39Fxf//rXAaiqquKnP/0pf/Znf3bd+1/7gRkSGJjK26Wlpbf9+ZV6iFOnLGpqaigpgcTE\ndBYulBPe/9r3Yuj3X/taiOPHTyJlP0Ksu+7xli1bz6VLkjVrGkhKCrBsWSSBwMT3Lyxcz+bNNmVl\nrcTG9rF8+UwOHw4N/37JkvV0dwuqqk6gVO/w42trz9DTk0Jqqh5jMIxaTpy4zJo1q8fEFwwKqqt7\n6OgQxMfHMzgoKC6uJTOzavj5Dh48COQA2QB0d7dRUeGnoSGFy5dNKiv7mDGjm698JZmkJElDQw2O\nA1lZWSxa5PDBB/W0tiqKiqaTnz/x+7t+/XpmzVIUFxdTWTnx3+/QoWJqas6yfv0fsm+fj8bGWoqK\nHJKTM2/r5+NGt8f7PHwWb5eWlt71eG5FO2MqiYxUdHQYNDVpAcRlyxymTZPk5kqysxVHjvgwTdi4\n0SYQ0An3hg0hWlsNIiMV8+frhdXMmZLly11OnTLx++GBBybujFFKt52D3tS7NtlVCkpKfLS3C44e\nVTz2mE1+/tQs3oqLfVRU6Jb7PXsESUnyvmv39bg/yMpSfO1rIRxn7OiWh8dUc+gQvPRSBOfOWURH\nS5YudThyxMeVK/CNbwzywAMOubl3O0oPj6lFqCnq796/fz+7d+8mFArxt3/7tyil+O53v8v3v//9\nST2+rKyMkpKSYbG2Ierr63nppZf49re/PeFj9+zZw/Llyz9V/OHIW29ZlJaO7KVs2mRTWHhnhYi0\n5ZfFmTMmkZF6x33JEr0Atm04c8ago8MgI8Pl/HmtPO73w6OPjl4oX7kieO01P11dgpQUyRNPhEa1\nZdfVaZXzQECxeLE7oVVYZaXB//yfASorTfLztbDH2rVyeOE/RF+fFlTr7RVkZUkOHzaRUiu59/YK\nli51WLBA8h/+Q3BYYC4xUbe9KqW7D+LiuC1CN0pBV5duE3QcPePuza1+tikpKQnra1RlpeDP/zyS\n8nLzqo2W5I//eJClSyUdHXDxooFhCHJyXE6eNHnrLT8xMYoNGxw2bXJGdeq47ohY23h6C6DPkYMH\nTXbv9tHaKtiwwWH7dnt4ROXECYN33x2Zi8nPd9m1a2osyX7yEx9XrpjDtx9/PDTmeuPhcT8S7tcp\nj/CktRXeecdi714fb73lZ9kyF6UUhYUOlqXIy5Ns2eKQlna3I/W4HygpKWHz5s13O4xJM2UV8d27\nd/O9732Pv/mbvwG02NpkefXVVzl58iSdnZ0MDAzwrW99i3/8x3+ks7OTyMhIvvGNb9ypsMMCx9F2\nPUNJ5FCLc36+5Px5hW0LYmLUlKhmt7UJystNfD4943nggI/584PDM6R791qAICZGW4ElJCgGBuDI\nEXNUIn7+vElXl/4MtLQYVFSYrF07sokwY4Zixowb+3E5jmLBAofUVEVHB6SmMm5lLDoaCgtdbBt6\neqCsLEAopG2ZfD5oajLIz3cxDJg3T45RdL9d1QSl4NAhkyNHLEwTtm2zmTvXW8R7hDdCQG+vTrY7\nOwWZmS45ORLbhrff9lNXZ3DmjEl6utY5qKoyME2BYcD8+e4oS0XT5LpaCAAdHVqjoazMIhSCX//a\nICZGsWOHvibo83Fk/jUmZuoq0osXuzQ1GUipNR+mT/9snL+uq7+HenoEM2bI+7LN2cPD4/Zy6RLs\n3u3jxRcjmDfPJTpa8fHHJps3O0RHw9atIby9HY/PMlOWiJumie+assjg4CChSRpb7ty5k507d476\n2fUq4OHIp5mlOHbMZP9+neBGRiq++MUgqamQlyd59tnQcFX5Rovb2zHPYZpaBGZoZtuyFMZVx68r\nVwyuFYbp7lbU12vLLZ9PEQrB0aM6hk8Kw92qiEx7u0FXl4nPp5Nwn0/H+EnKygx+/nM/7e0wd+4A\nSkFtrcHy5Q5KQUSErryPx5UrWvV92jT1qRefjY2C4mKL6upasrKy2LPHx+zZwZu2nrsdhMN8jxfD\nvYFSihUrbE6etAiFBGlpio8+MhkcFCilOHZMb85dumTR0yOJi9Pt6cHgrZ3bpqltDoe+Inw+aG3V\nt/1+fe0rKnIoKzNJTVWsXHnjTbvbxdKlkmnTQgwMCDIy5G3zRg93Tpww2bNHfw/5/YovfCE0RgvD\nw2OqCcfrdzjGBFMfV3ExvPFGBNXVJkLA6dMW69e7XLwoWLfO5tFHQ1y5UgyE13sVjn8/L6b7lylL\nxOfMmcPPf/5z+vv7+fjjj3n99de9P+AkuXRpJMEdGBA0NxukpupM+FoRsBthGNFUVhoEApNPKK9c\n0YrHaWmS6Gh9vA0bbA4dsvD5BFu2OMML7RkzXM6d07EqBStWuOzZY5KcLImPl1y8KDCMKPbutWhp\nGVFpz8mRzJ8/Ognu6tKv+/RpPUu6erU7rs1RSorCNLVaOSjS08fep6cHfvUrP6WlFkIohDBRCnJy\ntIrzpk0Ots24i8rqasFvf+snFNKbCbt22eNavE2WT4rOecL/HvcCERHa+SAYBJ9P0dkJe/f6yM1V\nREYqmpoMLAtmznSv3k9hmgaPPOJM6voUDGobNNNUxMYqDh0ymTvXobzcwDRhzRqXlBQ5vGFlWbB+\nvUtR0d0RStMV/s/WyXv58sj3UCgkaG4Wtz0Rdxw9liSE7ooab1PVw8MjvGlqgg8/NDl2zEd7u8GZ\nMwbbtjns32/R2an4z/95kGee0Wu+K1fucrAeHneZKUvEv/zlL/P++++TkpLCRx99xNatWz9Tifin\nea0ZGYr6ev1vy1JjLKwmw8AA1Nev4qOPTAxDsWWLzbJl108oS0sNdu/24bqCrCyXjRttzp+36OmB\nzZsd8vLkqJnpJUskfr99tXVVce6c9hlXCjo6DEIhgWUVcuyY/thFRUmKimyWLh2pqoO2JNu928eH\nH/poaTGYP9+lpcXga18LjpoV7+uD6GjFY4+FrlasGdNSDnp2fXBQ/1spQWysH79fEhsLM2c6LFjg\nkpqqmDNn9GPr6gR791qcPWuSkSGJjhZUVxs3nYi7rq7mWZbeNFm92kWImViW3tS4G9VwCA8PSC+G\newPDgMhISSAgME1FZaXJypUOsbGKqCjJ9u02Fy8aBIOCggIbKRWrVzsUFNz4uUMheO89i7IyE79f\nERsLbW0GhiF57LEQycmKpCQ17rkdLmrlAwO6YtzaajB7tktBgQyb2G4XGRmSykqdGZvmrX0PXQ8p\n9TiCtrfTo0QbNjijvhs8PD5JOF6/wzEmmJq4Tp+GDz/0ceGCSUwMtLXpGfB33jF58skg27aFKCqa\n2phuFi+myRGOMd2LTFkibhgGW7duZevWrVN1yPuGNWscIiMV3d2CnBx5XZuxiWho0O3VCQmS/n7B\n0aMWS5aErrvIOX7culpphsZGg/ff91FfrxdJFRWKZ58NERenY4mJ0e2kBQXXLpYNKioEoZAgPd1l\n9mxJScnIR66/36C/38AwRlfDq6pM+vq0rcVQEpuQAIODgvh4fby2Nnj9dT/NzToBf+KJIJGRekEc\nHT36dSQmwpYtDnV1Bn19eq5z1y7tTT6RAFtPD7z2mh/H0e3kPT0mSUku8+bp38XG6upNby9ERU3s\np+44sHevxcmTJpal/dgfeMBhwQItYJWQMPH77+ERLkRE6M20lBRJfb1g3jyXhgaT6mrF/Pk6+c7L\nMzhxwqShwcCyBD09Chh9bvf16YQrKkqfOxERWsinrEzbC5omXLhgEBur8PkMamsNFi0KsWhReM9h\nl5SYFBfr0avz5w0iI23y8sI75ptlxQoXy9J2i9nZt18pvr1d64wMVd1PnDBZutTxhCw9PO4RDh4U\nPP98gP37/URGwvTpLosWuRiGw44dkocessnPv9tReniEF3d8r/mVV16504e4J/ikZdTNEB0N69a5\nbN/u3LJFT1eXYM+eAfbu9WHbkJgob1hpuFYAKRBQtLaOPMBxBGVlBs8/H+CFFwKUlo59spwcyXPP\nBfniF4M89ZRNfDxIWY7fr4afc9assa8nENACb4sWuYDCsnSlOzFxJJ7ycpPmZt0q2d4u2LvXx/PP\n+3nhhQBnz46ORQh4+GGHH/xggO9/f4C1a0vJzYWUlIlV0Lu6QEqFEIpdu0IEApKoKDh+3GTfPove\nXnjtNR8vvhjgpZd8tLWN/zwNDYITJ0yUEti2YP9+H1JCeXnxXU/CP81n0ovhs0UoBImJWi1940ab\nBQtcGhoM2ttNSkoszp71sWePRWqqGlZIj4gYnaiVlxu88EKAX/3Kz/PP+3n++QC/+IWfvj4xPN4y\nOAj5+c7w2Mq0aYoZM8I/oW1pGbnmKCVui196uBEZqUcEtm93xu1O+LQEAqM3NP3+iTc4PTyGCMfr\ndzjGBHcurmAQnn/ex/79PmprTWJjFZ2dgr4+PVpUWOjw1FPjJ+Hh+F55MU2OcIzpXuSOV8RPnDjB\nrl277vRhPK6DUnDypEVsbJCeHsHp0ybbt9/Y6ueBB/TsdGenwYoVDrathcaGxHqqqw0GB3X1Yu9e\nH9nZwVF2RI6jq2i2DcnJemEdGdnEs8/m0d4uSE6WpKaOPe7cuZKWFklNDXz1qy5z5rjMnStHLcoM\nQ1/8OzsFg4MQDOqWe59PDMdyrTWzYUBenp7r/Ogjl7IyXXW7Vs35WsrKLI4csejqMkhLc0lKUlR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8WSbBtOnEhicNBASkFdncGKFS5Ll0ry8vT88oULJrYtMAzFwoUuZ86YuK5WLg8GdeV6zx4f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\nSQwSg8QQfTRNo6lJwzDAMDQaGzV6fnURIcSFOnRIxzQ1U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      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "source": [
      "Let's get some numbers by computing the covariance of the data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "burrard.cov()"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>Burrard Bridge</strong></td>",
        "      <td> 2270675.453637</td>",
        "      <td>-4293.906954</td>",
        "      <td> 6951.489665</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Total Rain (mm)</strong></td>",
        "      <td>   -4293.906954</td>",
        "      <td>   43.914905</td>",
        "      <td>   -7.111256</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Max Temp (C)</strong></td>",
        "      <td>    6951.489665</td>",
        "      <td>   -7.111256</td>",
        "      <td>   32.932968</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "                 Burrard Bridge  Total Rain (mm)  Max Temp (C)",
        "Burrard Bridge   2270675.453637     -4293.906954   6951.489665",
        "Total Rain (mm)    -4293.906954        43.914905     -7.111256",
        "Max Temp (C)        6951.489665        -7.111256     32.932968"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "source": [
      "Now the correlation. The default correlation method is Pearson correlation which assumes the data is linearly correlated."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "burrard.corr()"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>Burrard Bridge</strong></td>",
        "      <td> 1.000000</td>",
        "      <td>-0.429553</td>",
        "      <td> 0.803309</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Total Rain (mm)</strong></td>",
        "      <td>-0.429553</td>",
        "      <td> 1.000000</td>",
        "      <td>-0.186993</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Max Temp (C)</strong></td>",
        "      <td> 0.803309</td>",
        "      <td>-0.186993</td>",
        "      <td> 1.000000</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "                 Burrard Bridge  Total Rain (mm)  Max Temp (C)",
        "Burrard Bridge         1.000000        -0.429553      0.803309",
        "Total Rain (mm)       -0.429553         1.000000     -0.186993",
        "Max Temp (C)           0.803309        -0.186993      1.000000"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "source": [
      "The Spearman correlation just assumes a monotonic correlation between the variables.",
      "In this case it shows a stronger negative correlation between trips on the bridge and the amount of rainfall."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "burrard.corr(method='spearman')"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>Burrard Bridge</strong></td>",
        "      <td> 1.000000</td>",
        "      <td>-0.636243</td>",
        "      <td> 0.787612</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Total Rain (mm)</strong></td>",
        "      <td>-0.636243</td>",
        "      <td> 1.000000</td>",
        "      <td>-0.361401</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>Max Temp (C)</strong></td>",
        "      <td> 0.787612</td>",
        "      <td>-0.361401</td>",
        "      <td> 1.000000</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "                 Burrard Bridge  Total Rain (mm)  Max Temp (C)",
        "Burrard Bridge         1.000000        -0.636243      0.787612",
        "Total Rain (mm)       -0.636243         1.000000     -0.361401",
        "Max Temp (C)           0.787612        -0.361401      1.000000"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "source": [
      "Comparing weekend and weekday activity",
      "--------------------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "The DateRange object is a powerful way to index time-series data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekdays = pandas.DateRange(start='2010/01/01', end='2010/12/31', time_rule='WEEKDAY')",
      "weekday_activity = burrard.ix[weekdays]",
      "weekday_activity.describe()"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>count</strong></td>",
        "      <td>  260.000000</td>",
        "      <td> 261.000000</td>",
        "      <td> 261.000000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>mean</strong></td>",
        "      <td> 2979.896154</td>",
        "      <td>   3.136398</td>",
        "      <td>  14.311877</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>std</strong></td>",
        "      <td> 1467.669258</td>",
        "      <td>   6.613722</td>",
        "      <td>   5.834959</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>min</strong></td>",
        "      <td>  226.000000</td>",
        "      <td>   0.000000</td>",
        "      <td>  -3.200000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>25%</strong></td>",
        "      <td> 1823.250000</td>",
        "      <td>   0.000000</td>",
        "      <td>   9.800000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>50%</strong></td>",
        "      <td> 2730.500000</td>",
        "      <td>   0.000000</td>",
        "      <td>  13.800000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>75%</strong></td>",
        "      <td> 4045.750000</td>",
        "      <td>   3.200000</td>",
        "      <td>  18.600000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>max</strong></td>",
        "      <td> 6808.000000</td>",
        "      <td>  55.800000</td>",
        "      <td>  28.800000</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "       Burrard Bridge  Total Rain (mm)  Max Temp (C)",
        "count      260.000000       261.000000    261.000000",
        "mean      2979.896154         3.136398     14.311877",
        "std       1467.669258         6.613722      5.834959",
        "min        226.000000         0.000000     -3.200000",
        "25%       1823.250000         0.000000      9.800000",
        "50%       2730.500000         0.000000     13.800000",
        "75%       4045.750000         3.200000     18.600000",
        "max       6808.000000        55.800000     28.800000"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "source": [
      "You can do math with DateRange indexes"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekend_activity = burrard.ix[burrard.index - weekday_activity.index]",
      "weekend_activity.describe()"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>count</strong></td>",
        "      <td>  104.000000</td>",
        "      <td> 104.000000</td>",
        "      <td> 104.000000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>mean</strong></td>",
        "      <td> 2563.298077</td>",
        "      <td>   3.575000</td>",
        "      <td>  14.517308</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>std</strong></td>",
        "      <td> 1568.695178</td>",
        "      <td>   6.681357</td>",
        "      <td>   5.514596</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>min</strong></td>",
        "      <td>  253.000000</td>",
        "      <td>   0.000000</td>",
        "      <td>   1.900000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>25%</strong></td>",
        "      <td> 1124.500000</td>",
        "      <td>   0.000000</td>",
        "      <td>  10.075000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>50%</strong></td>",
        "      <td> 2268.000000</td>",
        "      <td>   0.600000</td>",
        "      <td>  13.600000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>75%</strong></td>",
        "      <td> 3765.500000</td>",
        "      <td>   3.900000</td>",
        "      <td>  18.625000</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>max</strong></td>",
        "      <td> 6159.000000</td>",
        "      <td>  34.200000</td>",
        "      <td>  29.800000</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "       Burrard Bridge  Total Rain (mm)  Max Temp (C)",
        "count      104.000000       104.000000    104.000000",
        "mean      2563.298077         3.575000     14.517308",
        "std       1568.695178         6.681357      5.514596",
        "min        253.000000         0.000000      1.900000",
        "25%       1124.500000         0.000000     10.075000",
        "50%       2268.000000         0.600000     13.600000",
        "75%       3765.500000         3.900000     18.625000",
        "max       6159.000000        34.200000     29.800000"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "source": [
      "Visualizing the effects of rain",
      "-------------------------------"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "DataFrames can be indexed with expressions and then return a new DataFrame."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "norain = burrard.ix[burrard['Total Rain (mm)'] == 0]",
      "norain['Burrard Bridge'].hist()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7fdbd02ed750>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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IJFDB//SnPy10DgBAgfGgkwP3wQOwjIIHgIii4B24Dx6AZSZuG0jNzut2dqHkx124G/2H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\nKlVSKKp5AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "anyrain = burrard.ix[burrard['Total Rain (mm)'] > 0]",
      "anyrain['Burrard Bridge'].hist()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7fdbd030add0>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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ebxIAkJ1VzeTv3r2riooKjYyMaGRkROXl5UokEl7tDUAOrM+sredzy6pKvrKyUslkUvv2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\n"
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "morerain = burrard.ix[burrard['Total Rain (mm)'] > 10]",
      "morerain['Burrard Bridge'].hist()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x8095b10>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "stacked = interesting.stack()",
      "stacked.ix[650:680]",
      ""
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "Date                       ",
        "2010-04-29  Min Temp (C)          8.7",
        "            Max Temp (C)         14.0",
        "2010-04-30  Burrard Bridge     3132.0",
        "            Dunsmir Viaduct     792.0",
        "            Total Rain (mm)       2.2",
        "            Total Snow (cm)       0.0",
        "            Min Temp (C)          8.4",
        "            Max Temp (C)         14.4",
        "2010-05-01  Burrard Bridge     2986.0",
        "            Dunsmir Viaduct     331.0",
        "            Total Rain (mm)       0.6",
        "            Total Snow (cm)       0.0",
        "            Min Temp (C)          7.2",
        "            Max Temp (C)         14.1",
        "2010-05-02  Burrard Bridge     1439.0",
        "            Dunsmir Viaduct     142.0",
        "            Total Rain (mm)      11.0",
        "            Total Snow (cm)       0.0",
        "            Min Temp (C)          6.4",
        "            Max Temp (C)         12.4",
        "2010-05-03  Burrard Bridge     2217.0",
        "            Dunsmir Viaduct     573.0",
        "            Total Rain (mm)       0.8",
        "            Total Snow (cm)       0.0",
        "            Min Temp (C)          6.0",
        "            Max Temp (C)         12.8",
        "2010-05-04  Burrard Bridge     3571.0",
        "            Dunsmir Viaduct     832.0",
        "            Total Rain (mm)       0.0",
        "            Total Snow (cm)       0.0"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "stacked.unstack()[:50]"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">",
        "<table border=\"1\">",
        "  <thead>",
        "    <tr>",
        "      <th></th>",
        "      <th>Burrard Bridge</th>",
        "      <th>Dunsmir Viaduct</th>",
        "      <th>Total Rain (mm)</th>",
        "      <th>Total Snow (cm)</th>",
        "      <th>Min Temp (C)</th>",
        "      <th>Max Temp (C)</th>",
        "    </tr>",
        "    <tr>",
        "      <th>Date</th>",
        "      <th></th>",
        "      <th></th>",
        "      <th></th>",
        "      <th></th>",
        "      <th></th>",
        "      <th></th>",
        "    </tr>",
        "    </thead>",
        "    <tbody>",
        "    <tr>",
        "      <td><strong>2010-01-01 00:00:00</strong></td>",
        "      <td>  226</td>",
        "      <td>NaN</td>",
        "      <td> 12.6</td>",
        "      <td> 0</td>",
        "      <td> 4.5</td>",
        "      <td>  9.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-02 00:00:00</strong></td>",
        "      <td>  347</td>",
        "      <td>NaN</td>",
        "      <td>  5.6</td>",
        "      <td> 0</td>",
        "      <td> 3.8</td>",
        "      <td>  9.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-03 00:00:00</strong></td>",
        "      <td> 1028</td>",
        "      <td>NaN</td>",
        "      <td>  0.8</td>",
        "      <td> 0</td>",
        "      <td> 4.0</td>",
        "      <td>  8.9</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-04 00:00:00</strong></td>",
        "      <td> 1161</td>",
        "      <td>NaN</td>",
        "      <td> 15.8</td>",
        "      <td> 0</td>",
        "      <td> 5.4</td>",
        "      <td>  6.6</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-05 00:00:00</strong></td>",
        "      <td> 1821</td>",
        "      <td>NaN</td>",
        "      <td>  1.0</td>",
        "      <td> 0</td>",
        "      <td> 3.8</td>",
        "      <td>  8.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-06 00:00:00</strong></td>",
        "      <td> 1902</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td>-0.1</td>",
        "      <td>  6.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-07 00:00:00</strong></td>",
        "      <td> 1929</td>",
        "      <td>NaN</td>",
        "      <td>  1.0</td>",
        "      <td> 0</td>",
        "      <td>-2.7</td>",
        "      <td>  5.6</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-08 00:00:00</strong></td>",
        "      <td> 1195</td>",
        "      <td>NaN</td>",
        "      <td> 13.2</td>",
        "      <td> 0</td>",
        "      <td> 3.7</td>",
        "      <td>  6.9</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-09 00:00:00</strong></td>",
        "      <td>  689</td>",
        "      <td>NaN</td>",
        "      <td>  2.0</td>",
        "      <td> 0</td>",
        "      <td> 6.9</td>",
        "      <td> 11.2</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-10 00:00:00</strong></td>",
        "      <td> 1181</td>",
        "      <td>NaN</td>",
        "      <td>  2.0</td>",
        "      <td> 0</td>",
        "      <td> 4.5</td>",
        "      <td> 12.4</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-11 00:00:00</strong></td>",
        "      <td> 1056</td>",
        "      <td>NaN</td>",
        "      <td> 36.0</td>",
        "      <td> 0</td>",
        "      <td> 9.4</td>",
        "      <td> 13.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-12 00:00:00</strong></td>",
        "      <td> 1666</td>",
        "      <td>NaN</td>",
        "      <td>  3.8</td>",
        "      <td> 0</td>",
        "      <td> 9.3</td>",
        "      <td> 13.4</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-13 00:00:00</strong></td>",
        "      <td> 1565</td>",
        "      <td>NaN</td>",
        "      <td>  6.0</td>",
        "      <td> 0</td>",
        "      <td> 5.8</td>",
        "      <td> 10.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-14 00:00:00</strong></td>",
        "      <td> 1320</td>",
        "      <td>NaN</td>",
        "      <td> 26.0</td>",
        "      <td> 0</td>",
        "      <td> 6.3</td>",
        "      <td>  9.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-15 00:00:00</strong></td>",
        "      <td> 1154</td>",
        "      <td>NaN</td>",
        "      <td> 24.6</td>",
        "      <td> 0</td>",
        "      <td> 4.3</td>",
        "      <td> 10.5</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-16 00:00:00</strong></td>",
        "      <td> 2042</td>",
        "      <td>NaN</td>",
        "      <td>  0.2</td>",
        "      <td> 0</td>",
        "      <td> 2.1</td>",
        "      <td>  9.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-17 00:00:00</strong></td>",
        "      <td>  795</td>",
        "      <td>NaN</td>",
        "      <td>  8.6</td>",
        "      <td> 0</td>",
        "      <td> 5.3</td>",
        "      <td> 10.3</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-18 00:00:00</strong></td>",
        "      <td> 1555</td>",
        "      <td>NaN</td>",
        "      <td>  3.0</td>",
        "      <td> 0</td>",
        "      <td> 4.6</td>",
        "      <td> 11.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-19 00:00:00</strong></td>",
        "      <td> 1919</td>",
        "      <td>NaN</td>",
        "      <td>  0.2</td>",
        "      <td> 0</td>",
        "      <td> 4.2</td>",
        "      <td> 14.1</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-20 00:00:00</strong></td>",
        "      <td> 2120</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 6.9</td>",
        "      <td> 11.5</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-21 00:00:00</strong></td>",
        "      <td> 2078</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 5.5</td>",
        "      <td> 13.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-22 00:00:00</strong></td>",
        "      <td> 2252</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 3.0</td>",
        "      <td>  8.6</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-23 00:00:00</strong></td>",
        "      <td> 1728</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 1.7</td>",
        "      <td>  9.2</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-24 00:00:00</strong></td>",
        "      <td> 1120</td>",
        "      <td>NaN</td>",
        "      <td>  3.8</td>",
        "      <td> 0</td>",
        "      <td> 2.7</td>",
        "      <td>  8.4</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-25 00:00:00</strong></td>",
        "      <td> 1522</td>",
        "      <td>NaN</td>",
        "      <td>  5.4</td>",
        "      <td> 0</td>",
        "      <td> 5.3</td>",
        "      <td>  9.3</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-26 00:00:00</strong></td>",
        "      <td> 2322</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 1.7</td>",
        "      <td>  8.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-27 00:00:00</strong></td>",
        "      <td> 2301</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 2.6</td>",
        "      <td>  8.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-28 00:00:00</strong></td>",
        "      <td> 1947</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 5.5</td>",
        "      <td>  9.5</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-29 00:00:00</strong></td>",
        "      <td> 1824</td>",
        "      <td>NaN</td>",
        "      <td>  1.0</td>",
        "      <td> 0</td>",
        "      <td> 5.8</td>",
        "      <td> 11.6</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-30 00:00:00</strong></td>",
        "      <td>  733</td>",
        "      <td>NaN</td>",
        "      <td>  9.2</td>",
        "      <td> 0</td>",
        "      <td> 6.9</td>",
        "      <td>  8.9</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-01-31 00:00:00</strong></td>",
        "      <td> 1126</td>",
        "      <td>NaN</td>",
        "      <td>  1.0</td>",
        "      <td> 0</td>",
        "      <td> 7.0</td>",
        "      <td> 10.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-01 00:00:00</strong></td>",
        "      <td> 1941</td>",
        "      <td>NaN</td>",
        "      <td>  5.6</td>",
        "      <td> 0</td>",
        "      <td> 4.2</td>",
        "      <td>  8.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-02 00:00:00</strong></td>",
        "      <td> 1877</td>",
        "      <td>NaN</td>",
        "      <td>  4.4</td>",
        "      <td> 0</td>",
        "      <td> 5.7</td>",
        "      <td>  9.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-03 00:00:00</strong></td>",
        "      <td> 2376</td>",
        "      <td>NaN</td>",
        "      <td>  1.6</td>",
        "      <td> 0</td>",
        "      <td> 2.4</td>",
        "      <td>  8.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-04 00:00:00</strong></td>",
        "      <td> 2666</td>",
        "      <td>NaN</td>",
        "      <td>  1.6</td>",
        "      <td> 0</td>",
        "      <td> 6.6</td>",
        "      <td> 13.1</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-05 00:00:00</strong></td>",
        "      <td> 2044</td>",
        "      <td>NaN</td>",
        "      <td>  4.2</td>",
        "      <td> 0</td>",
        "      <td> 6.1</td>",
        "      <td> 13.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-06 00:00:00</strong></td>",
        "      <td> 2892</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 3.4</td>",
        "      <td> 11.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-07 00:00:00</strong></td>",
        "      <td> 1422</td>",
        "      <td>NaN</td>",
        "      <td>  0.4</td>",
        "      <td> 0</td>",
        "      <td> 5.1</td>",
        "      <td>  8.0</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-08 00:00:00</strong></td>",
        "      <td> 2502</td>",
        "      <td>NaN</td>",
        "      <td>  0.4</td>",
        "      <td> 0</td>",
        "      <td> 3.6</td>",
        "      <td> 10.8</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-09 00:00:00</strong></td>",
        "      <td> 3046</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 0.9</td>",
        "      <td>  9.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-10 00:00:00</strong></td>",
        "      <td> 2192</td>",
        "      <td>NaN</td>",
        "      <td>  2.4</td>",
        "      <td> 0</td>",
        "      <td> 2.2</td>",
        "      <td>  9.1</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-11 00:00:00</strong></td>",
        "      <td> 1938</td>",
        "      <td>NaN</td>",
        "      <td>  5.4</td>",
        "      <td> 0</td>",
        "      <td> 5.6</td>",
        "      <td> 10.2</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-12 00:00:00</strong></td>",
        "      <td> 2992</td>",
        "      <td>NaN</td>",
        "      <td>  2.6</td>",
        "      <td> 0</td>",
        "      <td> 6.6</td>",
        "      <td> 11.5</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-13 00:00:00</strong></td>",
        "      <td> 1720</td>",
        "      <td>NaN</td>",
        "      <td>  2.8</td>",
        "      <td> 0</td>",
        "      <td> 6.6</td>",
        "      <td>  9.9</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-14 00:00:00</strong></td>",
        "      <td> 3331</td>",
        "      <td>NaN</td>",
        "      <td>  7.8</td>",
        "      <td> 0</td>",
        "      <td> 5.4</td>",
        "      <td> 12.4</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-15 00:00:00</strong></td>",
        "      <td> 2972</td>",
        "      <td>NaN</td>",
        "      <td>  2.4</td>",
        "      <td> 0</td>",
        "      <td> 3.2</td>",
        "      <td> 10.2</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-16 00:00:00</strong></td>",
        "      <td> 2833</td>",
        "      <td>NaN</td>",
        "      <td> 12.8</td>",
        "      <td> 0</td>",
        "      <td> 5.0</td>",
        "      <td> 11.7</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-17 00:00:00</strong></td>",
        "      <td> 3496</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 1.2</td>",
        "      <td>  8.2</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-18 00:00:00</strong></td>",
        "      <td> 3314</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td> 0.4</td>",
        "      <td>  9.1</td>",
        "    </tr>",
        "    <tr>",
        "      <td><strong>2010-02-19 00:00:00</strong></td>",
        "      <td> 3473</td>",
        "      <td>NaN</td>",
        "      <td>  0.0</td>",
        "      <td> 0</td>",
        "      <td>-0.4</td>",
        "      <td> 10.0</td>",
        "    </tr>",
        "  </tbody>",
        "</table>",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "            Burrard Bridge  Dunsmir Viaduct  Total Rain (mm)  Total Snow (cm)  Min Temp (C)  Max Temp (C)",
        "Date                                                                                                     ",
        "2010-01-01             226              NaN             12.6                0           4.5           9.7",
        "2010-01-02             347              NaN              5.6                0           3.8           9.0",
        "2010-01-03            1028              NaN              0.8                0           4.0           8.9",
        "2010-01-04            1161              NaN             15.8                0           5.4           6.6",
        "2010-01-05            1821              NaN              1.0                0           3.8           8.7",
        "2010-01-06            1902              NaN              0.0                0          -0.1           6.8",
        "2010-01-07            1929              NaN              1.0                0          -2.7           5.6",
        "2010-01-08            1195              NaN             13.2                0           3.7           6.9",
        "2010-01-09             689              NaN              2.0                0           6.9          11.2",
        "2010-01-10            1181              NaN              2.0                0           4.5          12.4",
        "2010-01-11            1056              NaN             36.0                0           9.4          13.8",
        "2010-01-12            1666              NaN              3.8                0           9.3          13.4",
        "2010-01-13            1565              NaN              6.0                0           5.8          10.8",
        "2010-01-14            1320              NaN             26.0                0           6.3           9.7",
        "2010-01-15            1154              NaN             24.6                0           4.3          10.5",
        "2010-01-16            2042              NaN              0.2                0           2.1           9.0",
        "2010-01-17             795              NaN              8.6                0           5.3          10.3",
        "2010-01-18            1555              NaN              3.0                0           4.6          11.7",
        "2010-01-19            1919              NaN              0.2                0           4.2          14.1",
        "2010-01-20            2120              NaN              0.0                0           6.9          11.5",
        "2010-01-21            2078              NaN              0.0                0           5.5          13.0",
        "2010-01-22            2252              NaN              0.0                0           3.0           8.6",
        "2010-01-23            1728              NaN              0.0                0           1.7           9.2",
        "2010-01-24            1120              NaN              3.8                0           2.7           8.4",
        "2010-01-25            1522              NaN              5.4                0           5.3           9.3",
        "2010-01-26            2322              NaN              0.0                0           1.7           8.7",
        "2010-01-27            2301              NaN              0.0                0           2.6           8.8",
        "2010-01-28            1947              NaN              0.0                0           5.5           9.5",
        "2010-01-29            1824              NaN              1.0                0           5.8          11.6",
        "2010-01-30             733              NaN              9.2                0           6.9           8.9",
        "2010-01-31            1126              NaN              1.0                0           7.0          10.0",
        "2010-02-01            1941              NaN              5.6                0           4.2           8.8",
        "2010-02-02            1877              NaN              4.4                0           5.7           9.0",
        "2010-02-03            2376              NaN              1.6                0           2.4           8.8",
        "2010-02-04            2666              NaN              1.6                0           6.6          13.1",
        "2010-02-05            2044              NaN              4.2                0           6.1          13.0",
        "2010-02-06            2892              NaN              0.0                0           3.4          11.7",
        "2010-02-07            1422              NaN              0.4                0           5.1           8.0",
        "2010-02-08            2502              NaN              0.4                0           3.6          10.8",
        "2010-02-09            3046              NaN              0.0                0           0.9           9.7",
        "2010-02-10            2192              NaN              2.4                0           2.2           9.1",
        "2010-02-11            1938              NaN              5.4                0           5.6          10.2",
        "2010-02-12            2992              NaN              2.6                0           6.6          11.5",
        "2010-02-13            1720              NaN              2.8                0           6.6           9.9",
        "2010-02-14            3331              NaN              7.8                0           5.4          12.4",
        "2010-02-15            2972              NaN              2.4                0           3.2          10.2",
        "2010-02-16            2833              NaN             12.8                0           5.0          11.7",
        "2010-02-17            3496              NaN              0.0                0           1.2           8.2",
        "2010-02-18            3314              NaN              0.0                0           0.4           9.1",
        "2010-02-19            3473              NaN              0.0                0          -0.4          10.0"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%sc syntax=pygmentize -O noclasses=True -l r -f html demo.R",
      "HTML(syntax)"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<div class=\"highlight\" style=\"background: #f8f8f8\"><pre style=\"line-height: 125%\"><span style=\"color: #408080; font-style: italic\">#!/usr/bin/Rscript --vanilla --slave</span>",
        "",
        "required.packages <span style=\"color: #666666\">&lt;-</span> c(<span style=\"color: #BA2121\">&quot;gdata&quot;</span>, <span style=\"color: #BA2121\">&quot;zoo&quot;</span>, <span style=\"color: #BA2121\">&quot;xts&quot;</span>, <span style=\"color: #BA2121\">&quot;Cairo&quot;</span>, <span style=\"color: #BA2121\">&quot;ggplot2&quot;</span>, <span style=\"color: #BA2121\">&quot;lattice&quot;</span>",
        "                       <span style=\"color: #408080; font-style: italic\">#, &quot;timeDate&quot;</span>",
        "                       )",
        "<span style=\"color: #008000; font-weight: bold\">for</span> (pkg in required.packages) {",
        "  <span style=\"color: #008000; font-weight: bold\">if</span> (! pkg <span style=\"color: #666666\">%in%</span> rownames(installed.packages())) {",
        "    install.packages(pkg, repos<span style=\"color: #666666\">=</span>c(<span style=\"color: #BA2121\">&quot;http://cran.us.r-project.org&quot;</span>))",
        "  }",
        "  suppressMessages(require(pkg, character.only<span style=\"color: #666666\">=</span><span style=\"color: #008000; font-weight: bold\">TRUE</span>))",
        "}",
        "",
        "save.plot <span style=\"color: #666666\">&lt;-</span> <span style=\"color: #008000; font-weight: bold\">function</span> (p, filename<span style=\"color: #666666\">=</span><span style=\"color: #BA2121\">&quot;chart.png&quot;</span>, width<span style=\"color: #666666\">=8</span>, height<span style=\"color: #666666\">=6</span>) {",
        "  <span style=\"color: #666666\">.</span>dev <span style=\"color: #666666\">&lt;-</span> CairoPNG(filename<span style=\"color: #666666\">=</span>filename, width<span style=\"color: #666666\">=</span>width<span style=\"color: #666666\">*100</span>, height<span style=\"color: #666666\">=</span>height<span style=\"color: #666666\">*100</span>, bg<span style=\"color: #666666\">=</span><span style=\"color: #BA2121\">&quot;white&quot;</span>)",
        "  print(p)",
        "  dev.off(<span style=\"color: #666666\">.</span>dev)",
        "}",
        "",
        "heading <span style=\"color: #666666\">&lt;-</span> <span style=\"color: #008000; font-weight: bold\">function</span> (s) cat(s)",
        "",
        "main <span style=\"color: #666666\">&lt;-</span> <span style=\"color: #008000; font-weight: bold\">function</span> () {",
        "  weather.df <span style=\"color: #666666\">&lt;-</span> read.csv(<span style=\"color: #BA2121\">&#39;./weather2010n.csv&#39;</span>, as.is<span style=\"color: #666666\">=</span><span style=\"color: #008000; font-weight: bold\">TRUE</span>)",
        "  cycling.df <span style=\"color: #666666\">&lt;-</span> read.xls(<span style=\"color: #BA2121\">&quot;cycling_cleaned.xls&quot;</span>, as.is<span style=\"color: #666666\">=</span><span style=\"color: #008000; font-weight: bold\">TRUE</span>)",
        "",
        "  ",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\n*** basic structure of the cycling.df:\\n&quot;</span>)",
        "  str(cycling.df)",
        "",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\n*** basic structure of the weather.df:\\n&quot;</span>)",
        "  str(weather.df)",
        "",
        "  <span style=\"color: #408080; font-style: italic\">## convert to timeseries</span>",
        "  burrard.zoo <span style=\"color: #666666\">&lt;-</span> zoo(data.frame(burrard<span style=\"color: #666666\">=</span>cycling.df$Burrard.Bridge[<span style=\"color: #666666\">-</span>c(<span style=\"color: #666666\">1</span>)]),",
        "                     as.Date(cycling.df$Date[<span style=\"color: #666666\">-</span>c(<span style=\"color: #666666\">1</span>)]))",
        "  weather.zoo <span style=\"color: #666666\">&lt;-</span> zoo(data.frame(rain.mm<span style=\"color: #666666\">=</span>weather.df$Total.Rain..mm.,",
        "                                snow.cm<span style=\"color: #666666\">=</span>weather.df[[<span style=\"color: #BA2121\">&quot;Total.Snow..cm.&quot;</span>]],",
        "                                min.temp.c<span style=\"color: #666666\">=</span>weather.df$Min.Temp..C.,",
        "                                max.temp.c<span style=\"color: #666666\">=</span>weather.df$Max.Temp..C.), ",
        "                     as.Date(weather.df$Date.Time))",
        "",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\nZ-ordered timeseries of Burrard Bridge ridership:\\n&quot;</span>)",
        "  save.plot(xyplot(burrard.zoo), <span style=\"color: #BA2121\">&quot;burrard.png&quot;</span>)",
        "",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\nZ-ordered timeseries of weather data subset:\\n&quot;</span>)",
        "  str(weather.zoo)",
        "  ",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\nStem-and-leaf plot of rain (mm)):\\n&quot;</span>)",
        "  stem(weather.zoo$rain.mm)",
        "",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\nStem-and-leaf plot of snow (cm)):\\n&quot;</span>)",
        "  stem(weather.zoo$snow.cm)",
        "",
        "  <span style=\"color: #408080; font-style: italic\">## align and merge the 2 timeseries</span>",
        "  combined.zoo <span style=\"color: #666666\">&lt;-</span> merge.zoo(burrard.zoo, weather.zoo)",
        "  combined.zoo <span style=\"color: #666666\">&lt;-</span> combined.zoo[index(combined.zoo) <span style=\"color: #666666\">&lt;</span> as.Date(<span style=\"color: #BA2121\">&#39;2011-01-01&#39;</span>)]",
        "",
        "  str(combined.zoo)",
        "  save.plot(xyplot(combined.zoo), <span style=\"color: #BA2121\">&quot;combined.png&quot;</span>)",
        "  cat(<span style=\"color: #BA2121\">&quot;\\n\\nSummary stats on combined ts:\\n\\n&quot;</span>)",
        "  summary(combined.zoo)",
        "",
        "  save.plot(ccf(combined.zoo$burrard, combined.zoo$rain.mm), <span style=\"color: #BA2121\">&#39;ccf_rain.png&#39;</span>)",
        "  save.plot(ccf(combined.zoo$burrard, combined.zoo$snow.cm), <span style=\"color: #BA2121\">&#39;ccf_snow.png&#39;</span>)",
        "  save.plot(ccf(combined.zoo$burrard, combined.zoo$min.temp.c), <span style=\"color: #BA2121\">&#39;ccf_min.png&#39;</span>)",
        "  save.plot(ccf(combined.zoo$burrard, combined.zoo$max.temp.c), <span style=\"color: #BA2121\">&#39;ccf_max.png&#39;</span>)",
        "}",
        "",
        "<span style=\"color: #008000; font-weight: bold\">if</span> (!interactive()) main()",
        "</pre></div>",
        ""
       ],
       "output_type": "pyout",
       "prompt_number": 72,
       "text": [
        "<IPython.core.display.HTML at 0x885aed0>"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!./demo.R",
      "#%sc output=./demo.R",
      "#HTML(output)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "basic structure of the cycling.df:",
        "'data.frame':\t547 obs. of  13 variables:",
        " $ Date                : chr  \"nan\" \"2011-06-30 00:00:00\" \"2011-06-29 00:00:00\" \"2011-06-28 00:00:00\" ...",
        " $ Comments            : chr  \"\" \"\" \"\" \"\" ...",
        " $ Burrard.Bridge      :"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " int  NA 3651 3528 4345 3794 6258 2256 3457 3679 5534 ...",
        " $ Beach.to.Pacific    : int  NA 290 297 294 264 568 180 263 270 435 ...",
        " $ Drake.to.Davie      : int  NA 1286 1242 1455 1273 1264 556 1148 1295 1703 ...",
        " $ Nelson.to.Smithe    : int  NA 1347 1273 1495 1346 1004 549 NA NA 1614 ...",
        " $ Robson.to.Georgia   : int  NA 1657 1570 1794 1635 1304 625 1515 1584 1444 ...",
        " $ Georgia.to.Dunsmuir : int  NA 1622 1499 1703 1595 1121 549 1365 1489 1928 ...",
        " $ Hornby.to.Howe      : int  NA 1679 1659 1870 1756 1207 553 1538 1570 2206 ...",
        " $ Granville.to.Seymour: int  NA 1618 1548 1764 1722 1112 594 1486 1516 1994 ...",
        " $ Richards.to.Homer   : int  NA NA NA 2244 2135 1491 697 1883 1915 2658 ...",
        " $ Hamilton.to.Cambie  : int  NA NA NA NA NA NA NA NA NA NA ...",
        " $ Dunsmir.Viaduct     : num  NA 1794 1690 1994 1910 ...",
        "",
        "",
        "*** basic structure of the weather.df:",
        "'data.frame':\t365 obs. of  27 variables:",
        " $ Date.Time                : chr  \"2010-01-01\" \"2010-01-02\" \"2010-01-03\" \"2010-01-04\" ...",
        " $ Year                     : int  2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 ...",
        " $ Month                    : int  1 1 1 1 1 1 1 1 1 1 ...",
        " $ Day                      : int  1 2 3 4 5 6 7 8 9 10 ...",
        " $ Data.Quality             : chr  \"\" \"\" \"\" \"\" ...",
        " $ Max.Temp..C.             : num  9.7 9 8.9 6.6 8.7 6.8 5.6 6.9 11.2 12.4 ...",
        " $ Max.Temp.Flag            : logi  NA NA NA NA NA NA ...",
        " $ Min.Temp..C.             : num  4.5 3.8 4 5.4 3.8 -0.1 -2.7 3.7 6.9 4.5 ...",
        " $ Min.Temp.Flag            : logi  NA NA NA NA NA NA ...",
        " $ Mean.Temp..C.            : num  7.1 6.4 6.5 6 6.3 3.4 1.5 5.3 9.1 8.5 ...",
        " $ Mean.Temp.Flag           : logi  NA NA NA NA NA NA ...",
        " $ Heat.Deg.Days..C.        : num  10.9 11.6 11.5 12 11.7 14.6 16.5 12.7 8.9 9.5 ...",
        " $ Heat.Deg.Days.Flag       : logi  NA NA NA NA NA NA ...",
        " $ Cool.Deg.Days..C.        : num  0 0 0 0 0 0 0 0 0 0 ...",
        " $ Cool.Deg.Days.Flag       : logi  NA NA NA NA NA NA ...",
        " $ Total.Rain..mm.          : num  12.6 5.6 0.8 15.8 1 0 1 13.2 2 2 ...",
        " $ Total.Rain.Flag          :"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        " logi  NA NA NA NA NA NA ...",
        " $ Total.Snow..cm.          : num  0 0 0 0 0 0 0 0 0 0 ...",
        " $ Total.Snow.Flag          : logi  NA NA NA NA NA NA ...",
        " $ Total.Precip..mm.        : num  12.6 5.6 0.8 15.8 1 0 1 13.2 2 2 ...",
        " $ Total.Precip.Flag        : logi  NA NA NA NA NA NA ...",
        " $ Snow.on.Grnd..cm.        : num  0 0 0 0 0 0 0 0 0 0 ...",
        " $ Snow.on.Grnd.Flag        : logi  NA NA NA NA NA NA ...",
        " $ Dir.of.Max.Gust..10s.deg.: num  13 0 0 0 0 0 0 0 11 0 ...",
        " $ Dir.of.Max.Gust.Flag     : chr  \"E\" \"\" \"\" \"\" ...",
        " $ Spd.of.Max.Gust..km.h.   : num  35 0 0 0 0 0 0 0 32 0 ...",
        " $ Spd.of.Max.Gust.Flag     : chr  \"E\" \"\" \"\" \"\" ...",
        "",
        "",
        "Z-ordered timeseries of Burrard Bridge ridership:",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "",
        "Z-ordered timeseries of weather data subset:",
        "\u2018zoo\u2019 series from 2010-01-01 to 2010-12-31",
        "  Data: num [1:365, 1:4] 12.6 5.6 0.8 15.8 1 0 1 13.2 2 2 ...",
        " - attr(*, \"dimnames\")=List of 2",
        "  ..$ : NULL",
        "  ..$ : chr [1:4] \"rain.mm\" \"snow.cm\" \"min.temp.c\" \"max.temp.c\"",
        "  Index:  Date[1:365], format: \"2010-01-01\" \"2010-01-02\" \"2010-01-03\" \"2010-01-04\" ...",
        "",
        "",
        "Stem-and-leaf plot of rain (mm)):",
        "",
        "  The decimal point is 1 digit(s) to the right of the |",
        "",
        "  0 | 00000000000000000000000000000000000000000000000000000000000000000000+206",
        "  0 | 555555555556666666666777777888888888899999",
        "  1 | 111111133333444",
        "  1 | 5667778",
        "  2 | 011224",
        "  2 | 5567",
        "  3 | 04",
        "  3 | 67",
        "  4 | ",
        "  4 | ",
        "  5 | ",
        "  5 | 6",
        "",
        "",
        "",
        "Stem-and-leaf plot of snow (cm)):",
        "",
        "  The decimal point is at the |",
        "",
        "  0 | 00000000000000000000000000000000000000000000000000000000000000000000+283",
        "  0 | ",
        "  1 | ",
        "  1 | ",
        "  2 | ",
        "  2 | ",
        "  3 | ",
        "  3 | ",
        "  4 | ",
        "  4 | ",
        "  5 | ",
        "  5 | ",
        "  6 | ",
        "  6 | ",
        "  7 | 2",
        "  7 | ",
        "  8 | ",
        "  8 | ",
        "  9 | ",
        "  9 | 6",
        "",
        "\u2018zoo\u2019 series from 2010-01-01 to 2010-12-31",
        "  Data: num [1:365, 1:5] 226 347 1028 1161 1821 ...",
        " - attr(*, \"dimnames\")=List of 2",
        "  ..$ : NULL",
        "  ..$ : chr [1:5] \"burrard\" \"rain.mm\" \"snow.cm\" \"min.temp.c\" ...",
        "  Index:  Date[1:365], format: \"2010-01-01\" \"2010-01-02\" \"2010-01-03\" \"2010-01-04\" ...",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "",
        "Summary stats on combined ts:",
        "",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "Autocorrelations of series \u2018X\u2019, by lag",
        "",
        "   -22    -21    -20    -19    -18    -17    -16    -15    -14    -13    -12 ",
        "-0.067 -0.059 -0.066 -0.052 -0.049 -0.060 -0.092 -0.098 -0.101 -0.124 -0.127 ",
        "   -11    -10     -9     -8     -7     -6     -5     -4     -3     -2     -1 ",
        "-0.085 -0.077 -0.100 -0.108 -0.116 -0.132 -0.113 -0.120 -0.130 -0.135 -0.151 ",
        "     0      1      2      3      4      5      6      7      8      9     10 ",
        "-0.282 -0.177 -0.116 -0.119 -0.128 -0.126 -0.158 -0.135 -0.113 -0.099 -0.084 ",
        "    11     12     13     14     15     16     17     18     19     20     21 ",
        "-0.104 -0.142 -0.115 -0.055 -0.132 -0.142 -0.119 -0.121 -0.126 -0.048 -0.105 ",
        "    22 ",
        "-0.129 ",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "Autocorrelations of series \u2018X\u2019, by lag",
        "",
        "   -22    -21    -20    -19    -18    -17    -16    -15    -14    -13    -12 ",
        "-0.013 -0.012 -0.015 -0.033 -0.048 -0.013 -0.016 -0.028 -0.018 -0.056 -0.030 ",
        "   -11    -10     -9     -8     -7     -6     -5     -4     -3     -2     -1 ",
        "-0.046 -0.054 -0.030 -0.040 -0.039 -0.052 -0.056 -0.061 -0.055 -0.055 -0.050 ",
        "     0      1      2      3      4      5      6      7      8      9     10 ",
        "-0.055 -0.077 -0.071 -0.064 -0.056 -0.050 -0.056 -0.051 -0.049 -0.052 -0.053 ",
        "    11     12     13     14     15     16     17     18     19     20     21 ",
        "-0.036 -0.046 -0.045 -0.049 -0.049 -0.052 -0.063 -0.042 -0.050 -0.043 -0.054 ",
        "    22 ",
        "-0.054 ",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "Autocorrelations of series \u2018X\u2019, by lag",
        "",
        "  -22   -21   -20   -19   -18   -17   -16   -15   -14   -13   -12   -11   -10 ",
        "0.408 0.409 0.389 0.393 0.394 0.417 0.408 0.396 0.372 0.406 0.439 0.485 0.466 ",
        "   -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1     2     3 ",
        "0.450 0.451 0.420 0.447 0.449 0.447 0.422 0.442 0.429 0.399 0.441 0.427 0.408 ",
        "    4     5     6     7     8     9    10    11    12    13    14    15    16 ",
        "0.417 0.420 0.430 0.410 0.405 0.406 0.391 0.380 0.370 0.347 0.340 0.361 0.375 ",
        "   17    18    19    20    21    22 ",
        "0.358 0.375 0.360 0.362 0.336 0.343 ",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "",
        "Autocorrelations of series \u2018X\u2019, by lag",
        "",
        "  -22   -21   -20   -19   -18   -17   -16   -15   -14   -13   -12   -11   -10 ",
        "0.426 0.410 0.407 0.412 0.419 0.422 0.428 0.429 0.410 0.420 0.458 0.478 0.487 ",
        "   -9    -8    -7    -6    -5    -4    -3    -2    -1     0     1     2     3 ",
        "0.492 0.492 0.459 0.449 0.461 0.483 0.475 0.466 0.493 0.518 0.489 0.457 0.454 ",
        "    4     5     6     7     8     9    10    11    12    13    14    15    16 ",
        "0.465 0.469 0.466 0.441 0.415 0.393 0.420 0.403 0.374 0.385 0.361 0.381 0.370 ",
        "   17    18    19    20    21    22 ",
        "0.389 0.373 0.362 0.365 0.354 0.352 ",
        ""
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "null device ",
        "          1 ",
        ""
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=\"burrard.png\")"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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W4DFahABgHwIW4BlahABgKwIW4BmG3AHAVgQsAACAMiNgAZ6hRQgAtiJgAZ6hRQgAtiJg\nAZ6hggUAtiJgAQAAlBkBC/AMLUIAsBUBC/AMLUIAsBUBC/AMFSwAsBUBC/AYFSwAsA8BC/CM0yIE\nANiHgAV4hhYhANiKgAV4hiF3ALAVAQvwGBUsALAPAQvwjNMiBADYh4AFeIYWIQDYioAFeIYhdwCw\nFQEL8BgVLACwDwEL8Ax7sADAVgQswDO0CAHAVgQswDMMuQOArQhYgMeoYAGAfQhYgGfYgwUAtiJg\nAZ6hRQgAtiJgAR6jRQgA9iFgAZ4xVxFSwQIA6xCwAM+YFiEVLACwDgEL8AxD7gBgKwIW4DFahABg\nHwIW4BlahABgq6pVf6bPrbeR5p04sGwMuQOArVYZsHw+n2uWWuw4gFLc7BkAbEWLEPAYLUIAsA8B\nC/AMLUIAsNUqW4TpdJoZLGCNGHIHAFutfsidLAWsEXuwAMBWtAgBj9EiBAD7sKYB8AwtQgCwFWsa\nAM8w5A4AtqJFCHiGChYA2IqABQAAUGasaQA8Q4sQAGzFmgbAM7QIAcBWtAgBz1DBAgBbsaYBAACg\nzFjTAHiGFiEA2Oq8twh37NjhK3S+vyNwoaBFCAC2Wn2LcJlOnTpVdISMBeSjggUA9mFNA+AZp0UI\nALAPaxoAz9AiBABbsaYB8AxD7gBgK9Y0AB6jggUA9mFNA+AZp0UIALAPLULAM7QIAcBWBCzAMwy5\nA4CtWNMAeIwKFgDYhzUNgGdMi5AKFgBYhxYh4BmG3AHAVgQswDMMuQOArQhYgMdoEQKAfVa/B2ux\nDzGbBSyTuYqQChYAWGdNVxGSpYC14GbPAGArWoSAZ9iDBQC2Wn3AonwFlAUtQgCwDxUswDPswQIA\nWxGwAM+wBwsAbEXAAjzDHiwAsBUBC/AYLUIAsA8BC/AMe7AAwFYELMAzDLkDgK0IWAAAAGVGwAI8\nQ4sQAGxFwAI8Q4sQAGxFwAI8QwULAGxFwAIAACgzAhbgGVqEAGArAhbgGVqEAGArAhbgGSpYAGAr\nAhYAAECZEbAAz9AiBABbEbAAz9AiBABbEbAAz5yPCtYnH9bkjMvxsZj2j5Tv2wAAlkTAAqzyxf06\nOuly/K7D+vOHXvRnAwAXKwIW4JmytwjT0khEgbjLh04HNRYrz3cBAJwTAQvwTNlbhMGEkvMKJlw+\ndDqgcQIWALxYCFiAZ8pewRqJSFIo6fKh00ECFgC8eAhYwIVnPq2hiMtxpwkYcqtgnQkqmlJy/vw+\nMQCAg4AFeOacLcIHz2gk6nL8/j699Vsux50KVmmLMJjQQlobmihiATiP/uAn5XwXdyqgH/eV7au9\n+AhYwFr96JQWVtXjW7pFOBTR7d/Su//V5Yv3BXRgTNFU8fHRqFpqXQLW6aC2taq7gYAF4Dz628f0\nTPnWwfz0tL72XNm+2ouPgAWs1fu/q5PTq/nEpStYf3S/PnqtfNJXSk4xAyHNLeiJoeLjI1Fd0ukW\nsALaSsACcD5FU5pb0OODZfuCyTmXt5EXEAIWsFYzs+67Pdfo7qP6H6/U7Xt0cKz4Q/0hbW7RIwPF\nx0cXC1hBbWtTVz0BC8D54px5nlhtwHpmRPceLziSnFdsdq3PykMELGCtYrOacls9dU5LtAijKS2k\n1VWvrnqX9NYf1B179ejZ4uP5AetsWB+9zxzvC2hbq3oaCVgAzpdgQo01q69g/aRPn3m84EhyTjEq\nWMBFKzWvuQVNraqCtUSLcCSq9U2S1FmviZJUNBDSL1+uJ4ck6T9O6USmQTkS0aVdJmA9PazvvWCO\nHx7XZV2raRGenNa3DxUfjM+5P/gfnnJfIg/gYhBK6ooexWbdL81Zzqc/MajZhdyRFBUs4GI2Mytp\nlRUsh2sFazSqdY2S1NVQXMGaXdB4TFf0SNLkjP7ucX3r+dxnXdJp9mAdn9JYzJytnh/Xvp5FA9bn\nn1bK7cKfYEJv/qb+9GcFBx8f1Mu/5P4X+czj+uD3VjnvD+BCF0yotU7XbtDTw6v59FBCsVk9mzcj\nn5xnBgu4iJmAtboKluRb5EMjEa13Ala9Jgq/+FBY6xpVVaHtbeoL6OS0KWVFUkrMaVurQgmlpRNT\nWkhrJKLhiKoq1NPgPoOVnNdv/1DPjbo8h797Qtf36nRQ83mZ6elhPT+u/pDL32UwrLkF3Xl42X9/\nABZxAta+bj1fMja6zE9vq9PDeaOltAiBi9paKlhLtAhH81qERRUsZ8Jd0vY2nZhWf0hPDUvSMyO6\ncp1qKlVTqVhKx6dUXaHBsJ4f175uSbkKViCR+47HpzS3oGfdAtbDA7pjr3oa1B/MHTw4proq/fvJ\n4gePx9RUqzfu0jG6hMBFyQlYe7t1aNzlo6Gky9ho0QNev1OP5D2GIXfgorb2CpZri3Ak0yKsr1al\nT9Nx/fUj5kP9QW1plaTtbXrwjNY1qrpCZ4J6eljXbpCk1joFEzoxrWs3aCiiQ+Pa1yNJuzrUF9DM\nrG79qh48Y77a4XFV+grK8o75tJ4c0is2aldHbsZL0sExvf8ql4A1ENLmFrX7Nb2GbimAC9fSAevu\no/qTB87x6TduUl8gdyQ5p5nZst2q9cVHwILN+gKLTmSvxXBEc5lJzJlZ+bSmNQ2LVrAazZ876/VQ\nvz7+oPnPwbA2NkvS9jb96JR2tOn6Xj05VBCwBkKKJHV9rwbDOjSuvd2S1FKrazfo/z6hA2MaCpuv\ndmRCr9rmUsF6fkwbmtTu1652nZgyBxfSOjyh37tR9/cVP2cCFnCRCyXUUqtLu3RyumBW3bF/ODdQ\ndWRCgZJtMqGENrcU3OkrOa+FtOIXbBGLgAWb/cZ9+v7xcz9spT50j3562vx5Zlad9WtrEbpWsCKm\nRSipq0EPDygxZ05J4zF1N0jS9jYNhLSjXS/fqB+c0P68gPXUsHa2a2OzhsJ6elhXrTNf6m2X6H//\nTBW+3FzXkQm9a58Oj+cio+OxQd2wUZJ2d+h4JmD1BdTh1442VfiKt231B7WFgAVcHM4E9eZvFh90\nKlj+Km1qyZ00svaP5Pp9/9/9+tyTLp++paXgXvXJOUkXcJeQgAWbHZs6L5ufJmZyZ4HYrDa1lH/I\nPXsVoaSuejP4ORY1372rXpK2t0nSznb9+jV68IzGYtrTIUmtdfpJn3Z1aGOznh7WUDgXsN66R8k5\n3bYzt/rh8IRe3quNzbr0c/rUY7kn4PQHpYIW4cExc/ViV8kFiWfD2kTAAi4OAyEdmSg+6AQsyaVL\nOLegA6O5CtZYVN85UvzpoaQ2tSiczFXHndsaXrhz7gQsXPBCSf3Ov7scT8xpIOSyRGrtgonca35m\nVpual1XBuueYeVeXfbBTuFp0D1Zei9C5vdeoE7Bi6mqQpM0tqqrQjja11en//Sd95FpV+CSptU73\n9+m3rldvsx7q163bVJnJcRub9R//RW/ZYypYqXkNhLSrQ793o7a3FfysRqPa1CJJu9r13Kj+5AEF\nE/pxn27aLDnXNhb+YAdCVLCAi0UwoXDS5aATsC7rMhe7ZCc0Dk+oqTZ32hyP6cR0wXDnfFqxlNr9\nqqvKPcypYF24mxoIWLjgvTCpbxx0OX4qoIX0ebmJTTBhZtslzcyqza+aSkWWPAt854jefqfuPKwn\nh3TrV3PHXVuEcwsKJdRZb/6zq0GzC9rZbgLWeMxUsKoqtLNdezol6ZWb9FevMY//T5fp3nfr5i3q\nbVJaevW2gi/+2u3qaTDx6MiEtrWqukIfepnesNO8X8z+HZ1z5fY2vWmXHh7QJx7SXYf1nivMUypa\nHsEMFnDxCCVdznjZk8aWFvWHdDasyz5nPrR/WDdvyUWl8Zju2FtQxAon1VQrn9RSm+sPOPv5aBEC\nnhkKK5goGCFaSOu+EzoxpUpfcQ5Yu3RJwGqoVof/HF3C//0zvfdKHZ/SoXGdmDbbOM1VhCUVrLGY\nOutNOUpSZ7180i1bMhWsGVPBkrT/180Khnxvv8SEqt5m+aTXbC9+QGdmt9b+Eb1svTlYU1mwbjR7\nrqyq0Jffoq+8TX//pK7vVW+TJHU3aCKmv/h57kbUTsBqrVMoya5RwHLBhFLzBW/JJIWSaqmTpM0t\nGgjp2KT6gyYeHRjTKzYqNa/5tGKzWkjrHZfq/r6CL+iccFrqcnPuyfmCgtYFh4CFC95QRAtpUzg5\nOKYDY3p6WG/9lh7q197u8lewnDvG5wes+mp1uN0x8Gw4d+uYsajeukfHp/TCpBJzGgxLmSH3UoG4\nOdc4uuq1oUm7OjQaVVqazMxgSaqvXuqp1lbq/vdpd0fx8a5MBWv/sK7ZkHlwlSnIO7LnO8eWFv3x\nzfqdV+Se0sSMfj6gP7xfsVnNLWg6rq4GVVWosaZgTDUrLd30z6u/TxmAZfqzh877agMnAxV1CXMV\nrFb1B9UXUFo6HZCk41O6pFP11YqlzGU6r9ykp4ZzFxs6VyCqsIKVnFO7nwoW4B1n44CTb77ynP7q\nYT16VmnpH/frhk3ln8Fyrp4rDlh+lzGsLz9jrpSZTyuQ0I2bdHxKRydV6dOpvF0vpS3CcFLNtbn/\n7G3W3m6ta9RoVKGE6qpUV7XcZ3vrVpeD2RtIPz2saxapYBWFPEn/62a9bkfmKzRoIqYzQfU26XNP\nKphQS60Z2G+rK+gSzsyaOYzD4zo4pvfc7TK6AaBcwkn9yQNrXW2QONd2G+c0GFkkYG1u0WDYnOVO\nByXp+JR2d6ixRtFMwGqt0/a23Aa+xSpY7X5msADvDEWkTMAaiegnfXp4QO+7UjOzunFT+StYgbiU\nNxbgBKzLuvTUUPEjD4+bMYXpuFrr1N2gSp8ePasbNunUtLR4izCcqbQ7btupf7vDBKyJvPLVqrX5\nFU0pNqvDE7o6E7BqK3MF//icfD75F49xXfUai2kgpN+4TvtHNB1Xm998KDuG9Y/7NZ/WJx/WZ5+U\npAfO6Jf36soe3X204EuNRF2GOWKz52V4DrCecz48Z0JawicfVvtf6UvPLPUYp8gUTupvHtVwRJJm\nZlXpU22lJPmr1FSrx86qq16nA0rMaTiiba1qqFFsNrdo5uYt+vlA7gs6Jz2XChYBC/DKUFgttWao\naCSqQEL3Htcf3awbNuqWLZqKl6dans5cM+xawfqVK/T1A8Xf6MiEeYc3ETMT67s7FE3ptdvNe7vF\n9mCFCitYPslflQlYsdwA1qr5pI56PXhG21rVkGky5lewivqDpbobdGhcjTXa3KKpGQUSas8LWIG4\nFtL6rR9oMKyBkClZPXBat27VL241N/bJ+s0f6KZ/NuforK88qz+8f8V/rwNj+oufr/izAJsMry1g\nHZvSpx/Td+9wvzQ7y1SwUvr6AT0xZI4UDRU8MaRXbdPpoE4FtLXVzA9EU5rIBKybNuuRgdwXdD69\nuba4gkWLEPDMUERXrstVsF63Q1312tGmRz+ozS2qqypYDbxq9xzTr98rlQSsWEr11bp2g2oq9dhZ\nSeY2Msl5nZg2xe1s2Wl3h3a1a0+nTk6XfIM8RS1CRxkrWJK66nXXYd2wKXckfwbrnAGrq0FHJ7S1\n1dwqcTqutszjnQrWdFyzCxqJaDSqxJwW0vpZv27dput6za2ps0ajaq3L3QjIMRwxY2or8lC//u8T\nF/CNNYC1c0YmVhewUvN677/p47+o1+5QYm6pl1IwoZpKRZKanNFASCo5a21uUWper96uvoCOTZoV\nfQ15M1iSNjZrJJr7gmYGq44KFvCSMRTWlT0mYI1G9Tuv0IevzX209GbJK/WJh3QmqKGw2fMZSKi1\nrriCJemdl+ne4xqN6q3fVlo6PqWFtGl+ZctOezp1Sad2tJ27RVgasDrrFUhoNFqGCpakrgbddURv\n2ZM7sqIKVle95tPa2mqm+wPxggrWdNxc8DgSNQFrKCJ/ldY36qp1OjpRcPHRWFS379aZYMHXH4vl\nzrylzobdL1Q8Oa2xmA673QcNuEispYL1Zw9pY7N+4zr5pJpK847rgTO5i4WzQgltbFY4qam4CVjZ\nM6FjS6uaa3XdBp0OmAEsyVSwxjIBq746NysWyqtgZcc0sxUs51tccAhYuLAFE6qs0LY2Tc4omlJa\neu12/a+bcw/IriRYtXuP6+CYApnFesGENjQVrmmokaQtrRqJaDym1Lym40oDAxYAACAASURBVDo8\nbhqCyqtgvf8q/emt2tHu3iI8PmWuqXENWJU+ddbrqSFzblqjrvriDQ75M1ilE+7Fn94gyVSwpuIK\nJIpnsEzAylSw4pmfkr9Kuzt0IO/Wh+MxXbNBZwvrVeMxjRQ2DbNS83rFl/XoWZcPnZzWpubcXYyA\ni9BaZrCeGdEHrjZXq9RVmS/y9LDuOVb8yGBCm5o1FFFqXv1BqSRgbW7R9jZta9PpoB4bNOv6nBms\nbIvQX5U7kRbMYGVbhHNq92sipj2fLb431wWBgIUL21BEvU2mTJW//Tyra80VrGhKU3FNx03ACsTV\n21Swyd05rTibCyYyhbQjE3p5b24Gy0kk6xt1WZfa6syiB6eCVenTfFqSPnSP/uOk5Ay5lwQsSe+7\nUl8/UKYWYYNu21kwxp59wyopmMi1/FzVVqqlVltb5a9ShU9nQ8UVrLGYJA2ENDmjxJzic7nvdV1v\nbgxrZlazC9rbrbOF71DHY5qYcblfrKRvPq/hiPvZ9uS0PvQyAhbs59wF2dWKKlgnpwvGFSJJNdWY\nP/urzPW/0ZRZtZDPua2Nc9wpL8XnCgLWNev1hp1qqTXvFW/fLangKkJJ9dW5gFVwFWHeotF2vx4b\nVGJOfSXP4aWPgIUL29mQepszASuSu39fVmfJTV1WKpLU1IwCcdPvCybU2+zSIuxu0HjMfK/RqI5N\n6bre4gpWVn4ZvKXOxIXpuPpDkhRKuFSwJP3BTWqtK0+L8H1X6g9/oeBIbdUKWoSSuhq0tVWSOvw6\nPlU8gzUaVbtfB8a0kFZiTom53GqJy7tyN4J1TrWd9YrN5u6qIWksqgqf6ckW+fTj2tjsMvc6n9ZA\nSB96mR4b1LOjLp8IWONj9+nfXnD/0FBY9dXLDVhf3K8v510tGEmpKXPmyVawoimXcONUsE4HtbHZ\nvUV402b9xaslaeh39b07TKJqrCmYwfJX5171gcwcZ7aCNbsgn0/NtabpT8ACXlT3n9YHvqe3XWJS\n1EhU65uKH7P2GayiClZpi7AgYM1I0lhUZ4La2108g5XVVKNw0rQI2zIBK5AwhRzXFqGkllr98Ff0\n5t1r+us4rt2Q2+HuyG8RLidg/c+bdH2vJHXW6+R0rkW4tVUnpzUa1dXrzJIbp0Xoz5x8NzbnBtid\nU61P6m0qmGofj2lPR/GlhZJmF3R0Qq/d7jL3OhBSd4M2NOkLb9ZbvqV3/au+dqDg18zfPKqDY+f4\nSwEXhL7AoreOGI5oe5v5l398ylxzs5ihSMHWukjemaeuygxIRVOKpArOos5Ghs569QV0WZdCScXn\nigOWq4ZqRVMajaqnUSqsYGXHDLIVrNS8aivVUK201FpHwALWIJpSYIVd9i88rT9/tT52Xa6CVdoi\nvHq9vnFwWTdjji/yni+aMpsIIkmlpUBCvW4By9m9ORGTTxqNqj9o5jqT8+4VrEjKtAhrKlVdoWhK\ngUwFq2gPVr5r1p+jebdqKxpyl/TBq9Xhl6SOep2czrUI93br8IRGo7pqncZiqq1UsrCCVRqwJG1q\nyXUJw0lVVmhnu8uc+9SM2v1qrHGpYJ2c1s52SXr7JfqXd+i2nfqHp/R/HjUf/cuH9fs/1k/6ij9L\nUn9Iv/mDc/xlgZeUkaj7+WohrbGYtrWagPX3T+qfnl3q6wyFCwJWOL9FWJ2rYKmwgBRKqrVOTbXq\nD6qrXpuadTakmbw3UYtprNFUXMGEehokqa5KqUyvs7SClZxTbZWZ3bx9t1lYemEhYF1IkvP6q0fO\n/bB88+niq+JfOsZiuivvZp+ff1qfeGhlX2H/sG7cJGUGrUajLi3C9+zTrVvP/Rv00Lhe83WX44k5\nzS6YCtZ8WjOzi1awGqpV4VNfQFtadTqocFLrGtWU2ftSVMFyWoTZW+W0+c0Z0/WC5xdH/pqG/KH1\nc+qsV3wuF/s661Vbqf3DZoXp5hYzg5UfsLJZKns90abm3Jz7eEw9DVrf5DLnPjmjznozyVEkG7Ak\n3bJF77tS778q9xX+/kl99Dr3c/TBMf3o1HL/ssBLwUjEvQk4HlNbnZpqzW6Uu4+eY0lNcQXLrUUY\nS8lfVfDacd6ANdcqPqfOem1uUX9oeRWsGr0wqd5mc6NVn1Mnm5Ok6cyVyNkKVnJetZVqrFGlT2+9\nhAoWzrMHz+iP7l+00OLqqSF98J7z9oTW5olBffyB3H8OhjW+kmGpQEKTM9rVLkmNNZpP67FBlxah\npHfvcxnSLDIYLt4U4HB+kTszWBU+hZPFM1ixvNNKV4MOT2hft54Y1KYW+aTGGkWS55jBktRWp76A\nKn0mYIW8CFgrrWBlOXWs9rxAtrdbRye1r1vVFdraamawskPuPY1mS5YyWUqFFSwndW1ocmkRTs6o\no14NNS4twjNBbWstOJJdCZ2WJmL6xa3u/xcPhldcOgU8NDOrUNL9ZjgDIW1sNtno0bMKJtxvDJo1\nHMn9459d0PxC7nValzfkfllXQb4JJtRSZ2pdTsAaWF7AaqzRC5Pa1Jw7kt3UkGsRFlaw1jfqtp3a\n203Awnn2gxOaT+uFyXM/Mms4kosCLzWRlI5P5Xo9o9FFpwpcPTOiq9aZd0KSPv16hRLa2+3yyPzL\nUorc8lWzMWEqromYy2I9E7Dimo5rfaPCSQXi6mnQfFpzC5KzpiFzWulu0AuT2tejA2NmALypVpGU\npmbMJvcsU8FS5v59fvUFtL1NEzHNLix6FeF5tdIZrCznr5Zf8bq8W5LWN6mn0QSs+GyuglXpU0+j\nCU/ji1Swuhu0vtGtRRhXZ70aql1ahGMl9cvsTc0CcTXUaE+He84eDCuYYD0pLhjO68K1gnVoXJd1\nmQsA7zuht12yVAUrkFB8NlfBiiRz5StJ/rwh9309Ba8dZ2eV8+COenU3aCKm+PJmsPoC2tRS8F1m\nZpWaV3JOjTWS1FKnSErxOVPB2tyi779bW1s1GNazo2YJxYWCgHUhue+4rujRoZXsUfQ8YH34+0vN\nNs2n9Xxm7ng0WlCsXtqXntGDZwrGtD9yrZ77SO7WxfnyF6sUGQiZnZ9OTaX0CURSavdrKKyFtNY1\nKpLUdFwd9WY8c25BC2nVVJoHdzcoMad93UrNm4DVWKMzQTXX5h7jaCpqEdapL6CuBq1r1GDYmxbh\n6itY9VJJBauqQh1+rW/Mq2DlnXyzY1hjUROwNrfo0LhJOeMx9TRqQ5OeG9Xnny74Xk6LMFvBGoro\nui+ZD43FzORsVraC5ZTEtrUtWsGaW7iAbyiLi43T+HY9rx4c05XrTAVrIqZLO5eqYA2FtbE5d9LL\nH8BS4VWE+7qLK1hOi1BSZ715u7jMCtbcgjbnBSznROqUr5x3m9UVum2nvrTfVLActZXqrNervrbo\neryXJgLWBeCfn9Wzozo6qdkF/fLlK1tUPRJdccA6E9TXD6zsUxYTm9WX9uuZkdyR/GFz51da9or6\nxQJW/tZvx9yCPnyv/vyh4uvgFtNat+iSukjSrMScylz9l/9Uf+9Hiqa0pcXca6+5VkMRVVaoodqc\nF4rOKU4fcF+PJG1pkaSmGh2f0oaSxqVrBautTptbzL1RG2qKP+V8W+mahqzOetVVFazUurxL3Q2q\n8Ol3b9CrthXPYCkvYGUrWL+wRck5/dH9UiZ17etRbaU+/kDBzoXJGXX4czNYQ3mN3SUqWM53aapR\nXZVLG9p5JoFlh3vAW04Fy7VFeHBMV/SYbBRNqbd5qQrWcESXdCo5Z174+QNYcnYoZK4ivHJdwZsT\n5+712RahU6df5gyWVNAidDY1BOIF1+788c3660cUTha8L719tz7/Jl274Rzf4iWFgHUB+PTj+rV7\n9N//Qx++Rpd369C4KZwsx3DE/XW4hJ/06WtlClh9AaWVm7I/E9S2z2g4ovicFtKKptRZb67kl9Mi\nLPkld2BMLZ/U7d/K/e5Xpk/0z2/VG3Yt62nUV2tuoeArZEVSJmA52W4s77fv0Ql965B5kg3VavOr\nuVbHp8xvcSdgFb3n625QpU+7O1RVkatgHZt0D1iRvHeW7X71BdRaZwo5TTXyFX/GeeesPHV+SqHE\nCnqUHf7iCxuv79W33ylJd+zV9jYl5wtmsOQWsBqqdd979OnHzcGeBm1q1sMf0Puv0t1Hc5/oNFuz\nLULn0k7HaNSMc2VlK1jZ7+JaxBoMy1/lEsGn4vrtH16Qkx+w20hE7X73FuHz4wUBq7vB5dT3wBm9\n9duSs6W5WW1+M4YVKSyc54bcZ3Vpp4YiZh+yMu9znAc7f3AqWPmvcVdOE3BTSQVrOl5QAr9ug9Y3\n6bFB1eYFrH94k+7Ye46v/1JDwHqJeuSs/tt/SNLcgvoC8ldrPKbff6Uu79Kzo7rks/ruIlvmioxE\nNLvgvhF7McemCtolPz3tcp+EZeoLqKpCT2UClnPz4w/eo22f0Q9PKprSTZv13KgkxWY1t6Bwsjg4\n9gX0qm0KJgqew+SMuhr0/qtWsNPcdQwrOa/UfKaCFVdVRUEFayymyRlFkmqsUUe92v1qKglYA6GC\nk0VXg9r9qq5QV31uBuvYEhWswhZhm1872vX4oAf9QUe2iBVafE9EqQ1NxaWjqgr9wmbzZ+c0nVik\nghVK5k6sPQ2andd8WsG8axjfeVlBwCoacg/ElZw3W62n4sWXauZXsHoy9/YpvZBwMKzLulzm3K/7\nou4/XbY3G0C5jES1rdWlRTgcUaVPPQ25gNVYU3zqe2FSv3SXft4vSUNhbWgym4HlVLAWaRG2+dVV\nb24jrcwZuGnlLUJnXLV0yL30suXNLeoP5lqEFygC1kvUC5P66nOaXdCpgDY26yfv1cMfUFWFtrcp\nmNBwxCxMOidnlHhFXcLjUwWXaH37kH5wYiVPPY8Tj7L3RekL6J2X6UxQrXUajyma0vW9ZmZ/NKr1\njWqqKf49NxzRtjb9+jX6Ut664YlY8cz4Obl2CZ3iR7aCtb2toII1FlVqXkMRNdWaIk1zrU5kApZT\nROkPmVago7vB/I7/1Ot11TpJaqzR8Sn15p1QHKUtwnBSbXV64y5975h3AatSyXnF51ThK3jvuLS9\n3Xr4A4t+1DlNx2eLZ7CcawZjqYJmqNOVyD9TX9erSFInMnfzKBpyd34xOHecba5VdeH5rKlGsVkt\npPMqWK3FFaypuGortbFZgbgSc/rbx/T0sCQFEpqO64u3F8Q7oLweHtCbvqmjy75uybn0eCSi7W0u\nrQmnP6jMi84JTEUTqF96Rh96mVmAPBxRb17ACpcMucfnNLeguQX5q7Q177UzMWO2sdywUZ31aqpR\nZNkzWJLLkHtRi1BST4MGQis4C700EbBeogJxBRP6eb+OTOjSTtVWmgJAhU93vlO//0oTC85pJKqa\nypV1CY9NFlyitX9k9Rexn5rWG3ZqIqZ7junktPoCunq9jn5Mt+1UKKFoShublZpXct6ssOqoLx7D\nGo5ofaPeeZn2D+d+y06WbD04J9c5d+csk53BurTTVLCm4orNmrB1OpCrYJW2CM8ETaXKsanZvDl7\n115zrmmq0WjUpYKVv8ldMieXNr+u7zVJzhPOnPuK+oOOJU6sNZWaW1BstqCC1Zn5P7ropOycbfNv\nXOiT9nTm+nRFe7Ccf5nhpMZK+oOSKnxqqFYkpbHM5ugtrWYRRtZgWBubTf5+x5367JP6ynPm+KYW\n3bBRUzM6NlX8lV2l5vXefzPXluKiEpvVtV9c8YWosVm96Zsaj+mJwWU9/hMP6WX/qPm0RqLa1ubS\nInxhUpd2SVqqgvW9F/RLl6umUjOzGopoQ5Pa6jIVLLcWYTRlyk75AWsyc1n0ox9UTaV5u1h0L0JX\nLXVqqyvIUvXVis8Vtwgl9TRqIEQFC+Wwf0Rffc782XnZBBJqq9O9x3V0Qpd1FTz4zbu1s31ZF1Mk\n5xVJFmzFPCenI5ltEabmdWh8BRf3FekLaFeHXrlZv/o9ffpxnQ5oe5uUqSdFU2qqUUfejtDse6ms\nkYg2NMlfpU+8Sr9yt2lgTZZsPTgn5yzzjjvNOeLfT+pvHlUkqdrKXAXrsi4zAf3xB/Sl/eb46aAa\na9ThV5vfpKX8gNUf1Ja8gPWLW/Xvv1LwfZ13bIu1CLOc8nhbnXzS2y5ZQXuuvJxdoyvqDy7ry1Yq\nmCiYz3BKUAtppeYLgpdzti1KXc49iBzO8Ed+i1BOwIq57JhVpkuYrWCtbyzereUELGcM5ZkR/f0b\n9eAZSTob0sZmVfh0+x5zB+5zGo3qGwcLdufiItEf1P4R92tUl/DEoK7o0e27C263vJgDY/rcU2rz\n65+e0dEJ7Wx3aREOhMwFevkBK/9U8/y45hZ01Tpz0Lkgut1vXkeuLcLYrDmJOe31J4Y0u1B8Bl7+\nkHuHX8d+q+CIP+8qwnw9DTobpoKFcvi3o/p/z5s/v/1OPXJW03HdsVd3HdYjZ82bknzr3FYElXJu\n+dRQvayA9bN+/d6P9P3j6qjPtQgPjSudXv0FVqcC2t6m+96tH75Hj51VX8CsgnTijjPe5NxGcDSq\n9U3q8BevwhqOmHTykWvV7tc3DkqZAvWKOBWsH/fpriO687Du+I6+cVCRlHa05wLWpV2mahVI6NiU\nxqKqqiiuYKVVXMHKbxGWckru7kPuqbwWYZ0kc+HeB67W2y5Z2d+uXFZdwVpaXZWCiYIg5SQk594a\n+eP8/sy1mf5FAlbRkHu2tZGtURVx5txzAatkO/xQWL3NaqvTUFjhpF6/Q6NRjcc0GDbFyN0duQVd\nSwskVF2hTz16jtWOsI+znMm5XHogpCMTy/qshwd002btaDer+CQNR/She1ySU1r6jfv0iVfpz27V\nR76vN+zSNetdKliuASu/eH/fcb1lj3yZN3jOxcKLtgirFZ9VNNPE39qqY5O67V/08EBxD2H5M1hS\ncfPBrGkobRE2ajpOBQurNZ/WFZ83DYVn8t79nJxWf1CBuG7eov98uX5woriCJbffE66c/lp99bKW\nv7/t25qK633f1VXrlJo3F4zsH9ErNq6ygjWf1kDIJKqr1unEtI5PmQqW85p3Xv9dS1awhiO55ezX\nbjDlB2fEckVa69QfUjSlfz2ijz+gz75R03FFktrUrPicYrOKpLSnw7QIw0mdnNZYTDvbdSaophp9\n5Fq9a6+pnxdUsEIFLcJSzpu/3kUqWMk5VVdK2QqWX5Jetl6/9rKV/e3KxZnBKvsWrroqBeIFmclJ\nSKVnZH+V4rPFGwudNYaSUvOamVVLXV4FK2HW64/FXFqEKqlgbWgqfmfivBdvrdNzo9rcoqoK3bRZ\nD/XrbFgbmyVpXeNy2/HTcd24Sa11Wvc3uvf4sj4FdnCmv52A9S8H9XdPuD+sKHg9clav3KSd7WYV\nXzSll39Z3z5U/LCzYf3tY0rN61ev0ut36r736Atvzu1QyJcfsOKzZsAxv0U4FNGuDikzolAUsBZr\nEWYrWHcfVTCh04HiCpZzTfRy7kVYyhlyd2kRNkiigoXVGgrr+Uz3bf+IzobMBXTDEU3MmJLpX71G\nf/QLLtvJ15/rpH86qNmFTH9tGRWsmVkl5/RPb9FlXbqkU/XV5hfY44N69fZVBqyzIXXVm7pFTaWu\nWiefz7wsnde889LN3qfZCVhFmxpG8gaYsieC1bUID49rZ7temFR9td5xqaZmzN6XngYdnVBLrdY1\nmgpWJKlT0xqLam+3Qkk11mhft3a2m7d3Zsi9RrGUBkIFLcJSzo20SosrzqLRFybNrX7MDJZHncGs\nmsrz0iJcooJVFLBct4tlK1hTcbX75ZPqq82t1gJxrWtcVgXLOV+va9RYtGBWZipu+r/PjmpbmyTd\nulUPntHZzPWh6xqXu9vQabj85L36+C16eGBZnwI7DEW0r9sErNGoeT9QJDWvq76QOxXPp/XEoG7c\npB1tpkU4GFZjjd64S8fzZv6+8LSu/oJ+cEJfvF0VPvmkN+yULzOBXiQ/YAUSqq1Spa+ggpUtTjsV\ndCdgtS1+FWG8MGAl57WrXQfHVOEreIU6TZJoalkVrCJmyL20RdgoiQoWVq4/pOdGzeXiU3GdDcsn\nddRrKKJgQjOzGo+ZkmlNpT7xKpcU3+ZXbNZlA2fWa7+u135d//MnetU280traSNRrWtUhU8/fI/+\n181qqFFsVt84qPv79MGrFZs1Ba03fzM3wjK7oFu+utQ6rsOF02M3bMzdKi47g5UNWINhbWjKDbn/\n3ROajpsZsmyWygasVVxF2FKrIxPa3qaPXqc/vtmcCMaiaqrR+iYdmVBHvXoaNR5TWgonNRDSSNRE\n28bMSaeognU6qIbq3H1yXDXVqKdRlSVbrZwK1vPjZitpfgXLQ86ahvPUIiydwYrNFv/0nK2D8cKl\nWdmAla1c+vJGN7a0nKOCNRZVYs5ERufesZN5beipGXXUmzlfpxh56zb99LSZzdIiFawnh/Rf/734\nYPZd+OXdK9sGjAvdUFi37zEBayymCbdbfk3OaHYh92/p8Lh6m9XuV2e9FtKajpuXw+4OncgErKeH\n9YmH9MgHdf97dfW6gq+W3aGQlZhTKGleBXVVmpzJ3XkmW8EKZ947NddqakaJOTXWqD1vD1bprXKy\nAWtTi67boN95hZ4aLj79VvjUUKOJ2GoCVr3bolFRwcKq/enP9Kc/Mz3BqRntH9Y1G8wF5NkbtJUm\n+nw+qadh0SJWfE4jUf3ny/WXr9FvXp+7m+YSnBEoyVSMG2sUS+mPf6q7f1kbm9VSq0BcpwK670Su\nlXlsUg/1F1+Tle/QeEHt7XU7dMtW8+f8FmFnvSZmdDqoba25CPWpR3XnYY1E1NOYm9HJXu2ymqsI\n63R4Qr1N+uSr9Y5LJandr/6Qmmq1rlGHJ9TuV22lqioUTSmSUmWFairNFE72pNNcq0qf+dabW3Tn\noXOUrySzO7RUfbVS86quMOeR6grdtHnFqbHsaiqVnH8xKlj+aiXnXN7y1pesaVBewHJ2eTiciOak\nonAyd/FBkZZaPTGkHe25f0XZ9vqbvqkzQVPBcqbfnIC1r1uTM3pu1Py/7xqwDo7px6eKD2Z/SVzW\npcMlUzipeXPVKqzx/Lj5/3Qoout75ZOGImaGL993juhPHjAHsx3qo5O5958723UqYM6HuztyFax/\nelYfvU57Oly+dWmL8GxYvU3m3qz5ASt/yD17F/nmWp0Nq6VWPhXMYJW2CGOZqwirK/Tkr2lfj54d\ncTn9NtVodmFVFaxqzcya4nS+xho1VBffYeyCQ8B6sc3M6jtH9Py4uXfmVFzPjOhl681FsMMR+ZSr\nYC1hfZPLeb8voE88pGOT2tmuj11nkoRTg12a06HLcn57Tc5od4ckc43Vvcck5bZJObdEPLH49S+H\nxs1Nfx2v2a6/u838Ob+C1dWg8ZjptWWH3MdjuutwQX9Qyl3tsroh93DS1CQcHfVmvuqKHn37kDoy\n1/EF4gondVmXejJLrbIVrKYaddarqkKSfvN6ffI1+vA15/i+N2zSve9yOe6TmmpM+crx81899x7k\n8632vA25J+cL5jOcEtTkjMsM1hItwuwVD8o0GQNxbWlVOGlm1Uu11Omnpwtur5Edwzo0rhPTpq/n\nvJlxAlaFT7+4VVNx86+l3a9oqngX9khUpwK5xdaObAVrW6smYsVx6msH9Ac/XuqnhAvO7/3InBUH\nw+pt0q4OnZx2aREentCBMVPWyrabj03mktOOdp2cNiNT2YAVn9Ndh/X+q9y/dWmLMNsfVGbq0VSw\n3FqETbU6GzLvo5ZYNOoMuTfmHXQWnJaefptrVeEreBO1TE6DJVswztfTSIsQK/TdF/SKjRqJ6PCE\naio1HdeZoHZ3mIA1FNGOdo1FFUqe42ZwzmhIbFbXfDF38OMP6i8f1sExXdqZO7icFmF+bUBSQ42m\nZjS3YF5azivw3uPq8Od2Yh0aV4WvYFygSFEFK19LnSZntJBWXZU663VwTG118leZbxRKqqpCz43q\n8cGCZ7XGGSypMGD5dSaoplr9/itVXWF+NTpRMpzU1eu0rtF8l+z5ZXeH7vol82ef9J59+tC5ptF9\nWvSpNtdq3yI/H684M1hlH3J3zpJFJ9+Gao3Him+56K9WOCmfTIp1dNXnfjllr3horDH3597QpHDS\n/QQtqblWJ6cLbgG+PjNTFUpoJKKpmdytfrIt7FdtU1ud+f/dJ/U0FmygdZ5Jar74svxswKrw6ZLO\n4lHlM8FlXfmLC8hQ2PzDcPL99jadDmg0qlCy4OYZIxGNRIorWMemzNtXSVtaNBAqrmD96JSu2eBy\nfYyjplLzCwURvyhgpeXeIsxWsAZC5leM865SpS3C6oIWoWNDk7nvcpGmWvmrVnODL3+VhsKqqnA5\n5/Q00CJEiZGofvuHi95e5rsv6Feu0CWd+vEp7e3W1Ix5X761VacDGo7oqnU6Oa2G6oLfMaXWN2ok\nqlPTeiazCPTYlH50Spta9PUDBcNPy7mKcKSww9JYo8FwroTWVqfBsJ4a0lv25CpYz4/rFRtz4wJZ\nv3avDk9obkHHp1yuf3Q4o8eNmXuFPjti5oudMfPxmNY16l379Gc/081bcp/lBKxoSpW+FdeinVNJ\nr1sFq6Fa371Dv36N+ZuOxzS/oH096mk0lfDsu7oKX+4OMGvXVFtQwXopMDNY56FFKBXX51yHNurd\nylrOv5NoqrCCVa2zYbXWqbnW3A/KteLrvF+/Jq+Ctb5JI1EtpBVJaSRqehP5LUJJb9ild+3LfUpp\nl3Akqkqfjk1q62d0YMwczL8SqnQMazDM/aRf6r7ynD78/RU8fiii8ZhS8wok1NOgba3m1Je97tUx\nEtVwROMx+ZT7h3R8Snsyb4Nb68zIREO12v2qrtRYTIfGi+euimTHsJwLg4oCluRWwcqbwcoGrII1\nDSV7sIoCVoVPW1rdK1ir6A9Kqq/W8Sn3OQoqWJCkUwH96vdy//ngGT1yVr/6veJ3vY7HB3XjJnN5\n2rUbNBXXSFTrG81taIcjurJHU/Fzzzuvb9JwxCxQcQah7j2mO/bqtprP/gAAIABJREFUtp366emC\n1VnLuYowO4PlcH57ZX9btPv1837t6dSGptwviUPjeselLi3Cn53RE4M6Oa31jYsOgNdUqr46F7Di\nc6Z44Nyizrmo/nNv1PQf6Hdekfssp7y0iv6gMr9o84sc7X5Nzph3bHu7ddNm8y36g2qq1S9drt9/\nZXGLsLzetKucca0snDUN56NFqEUqWKUtwqm4y8XeTpfQWTtiPr1Gg2GznOzIhHv5SlJLnSp95rZF\nDmfXaCSlhbSGwgom1O5XfbU+9brc7o8tLfrcG3OfUnoh4UhEV67TnYfVH9KnHzMH8+cmL+sy9z95\n9KzuOaaFtIYjq1/Ya6t/OajHlrfEfEU+eI/uP72aT/zhieWusJIUm1UwobGoRqLqaVCFT9va9Pig\nehpyNVfHcERjMY1Gta3N/ENKOwErU8FyxqSyKz2dItaRCZcNiPmcMazEnLZ8WhMzOjKhHe3mQwUB\nq2jIvaSC1VqnUNLczTP/945zFWH2WWVta3XZktNcu5odDZLqq3UmWHB3wqytrd5fWL1GBKw1ORPU\no2f1G/fpq8/l4tSpad22U2/Yadrz+YYiSsxpe5v2dquqQlf05CpYl3bq4JhOTuvSLtVWnvsf1q52\nHZkwC1ScgDUa1ZYW3bJFabm0CCdnikdG8o1EiluEZ0O5F1ubXz/r175utdaZalk0pdGobtvpUsEa\njuiFydz1cYtpqTWvW6dK5BQPnB2n/UGztahIbaVqKnV08d+mS307txahVPCOTVJbnQZCaqpRb5Ou\n26DmWrMK+Xz4y9doZ/u5H/ZichaNno89WCoNWDWaKClW1VdrquSgMgErfyav0fkn6twgcnrxgFWr\nS7sKgr4z5O68pz86qcYaUyr+3RsWbXC4VrBu2aI7D+m/XKF7juV21Wbfk2xrVX9QoaRe9w195Pt6\n5KyGwi4BK5DQxx9c5LteBD75sN5xp7ntd9ZgeNF7843H9OVn9NePuF+ml3V/32rWZCyk9cCZc29j\nn10wlyI5u6/GYxrKtKe3terpYa1rLKlgReSTDo3rih7TIhyJyF+VGwJxAlZ2pefL1uuJQZd7eBRx\nKkwTM4rN6mvP6Uen9MZd5kP+zH26JLVmrg1y7jHqjI0312o8Zp5AVYUaqjUVVyRpzormi2RvlVN4\nkrxps8sTa6pZZQXLX635tHsF69OvX3QE7UJBwFqZkai5k4aktPSeu3XHdxRK6FXb9NSQOe6sL3/L\nHpcu4ROD5mKTfT3a1KyeBg2GlZpXa502NOnGTfrRKW1oUlfDuStYV67TgVGdCqiuSv1BSeZCqpu3\nqLnWbJNzOFdm3f4t/dJdi252GC1pEZ7NaxG2+3VwTPt61OY3LcJD47q0U7vadTZcMG0QTCg2qxcm\n9fRwwWRxqdbMjEtHvSTTIvRJvc16ZsQ9YElqq9NTw7k3asvXVmfK71nO920qTBJtfvWHcvHCJ/X9\n1/NVwXoJOk+3yjEtwsLzb0O1JmIuaxqm4osGrPytsw3VGgyrza/mWs0tLBqwfmGLPvvGgiNOb915\nT39ovOA3ymKKAlZaGovq5i1Kzuvd+/SGXbrvhFQYsDa3aCCkM0Ftb9Obd+vIhIbcKlg/79f/eWSp\ndz4Wm5jRSETvu1Kfeqzg+F/8XLd8pXhebSquq/9Ru/9eP+vXfSf0hacX/bKBhAZCOjC64ufz/Lha\najU5U3xBQ5G7Duut35akoYgaazQW05nM/bK2tykxp3WN6mrQxIwZzFhIa2JGl3TqwKiu6DH/kI7l\n9QeVrWBlmnG3bNEDZ3RsquB9cilnzn0ipgqfPv6gXrkpd3FffgVre5sGw4rP5cpXzndMK5fw2v06\nNql2v7kIMftF4rPmfhv5/vhmvb3kVhNraRGq8PbPNiFgFQgl1b/43gFJ3z+uv37E/Pnuo4okdeZ3\n9PiHdMNGPTVsjp+a1o423bZTPx8ouN/cT0/r4QG9fKMk3bxFn3+zOup1aDxXOvrY9VpIq7dJ3Q3n\nrmDt7tBoVM+O6BUbza08RjLL0Ef+e8FsoHNl1mBYEzH94f3uX22kpEU4mNcibKvTQlr7unPjkM+O\n6qp1qqlUb5O5HNIxHJG/Ssem9MSgXt671PNvyQSs2ko11+bmizcuGbDa/XpyaDWFn856HfxoQYli\nsQpWf7CgfrPSfRAXtJrz1iKs9Km68GTTUOPSInQqWKVXU3Y3aCRauKahRved0PW95v+sJSpYt2wp\nOOJctRpKqLtBo1GTs5dWFLCmZtRUqyt6VF+tW7bq2g16dkRaJGBtbdUlnXpySJLSKp6GfHpY8TmX\nMrBNpuLFawscDw/oxk26cVPBX38hre++oNt26mP3FTz4hUlV+jT2P/SNt+tde4tvKJnv4Ji6G3Rw\nbNEHLOb+Pr12h3qbllo9I2n/iPYPayhixjnGY+YdtTID4M7s5qFxrf8bRVKamFFrnba0aiiiK3tM\ni/DUdMFJLFfBqpakm7foJ33mpuZLyFawXrlJNZV6d97UoPNyy55g93To4JhCidyZLVvccrT59cJk\n8ape5+sPhNz7d0WaVhuwnBe7awXLAgQsI5rSB+/Rxr/VG/5lqYf1B3Mni799TH96q4n81/XmKlh9\nAe1oV3Ot3r1P77nbvD2dnNFrvq7PPG5ih79Kr9+hDr/OhnPJ5nU79Bev1gYnYJ3rjXWlT5d366lh\n3bo11yLM7sDMV1+t2KwmYvrWO/WNA2bBab75tKbjBZmmqEXo/Nq4osesV5DMaglJGwq3RQxHdH2v\nzob0zIiu+//bu/P4qOp7/+OvyT6Z7CHLhIQsEATCDgruIFXcV0Qt1urtdet1aa/3tt72tvVeb+uv\nrbX6e/y0vbXWqw/bul3cUCuKW92RRdkCgUCAkAXIAoQd8vvjnMzMmTlJZoaTQDLv5x8+yJnJzOQ4\n853P+Xw/38+3xwDLl8HCmnMuyWBZY08B1uJ6hmf39MjdqbD+lvFHhWawNrcHH4wdZpuGPtjsObQ+\nw5NoM0Vo1GCFjtSnFvP8KlIT/fOMBR4uquQnZ/USYIXKS2V7B+0HGDUECCuDNaGA12v8yzuMK5mK\nbFbcjjuBSYUsa+TgEQ4c9r+lC9No3c/aHZRlMTqPd2oZmk6Om+YOhj7kTyQvaSA9KZpoINCuA7zS\nzZKacPbI6jt7D3Hti5Q/zMmP29z6YR1nljI8h9quK7QXVvPsSnJT+e35vLvR0nC/ZR/edPO6sSi9\npwDrq0YuG0VTSJuMnrXu5+HPmDfOXM3dg6UNlGSyYB31u5jkpbnDvKKmqwDcyGD9+WvaD/D+JrP6\nwrgwqMqndT+Hj1oK0gmpwcr3MCKnl/lBumqwduylOIP3b+TqKsutKQn+d+MkL8sa/F1G6eqZbMlg\n7QwedY1VhDUtlvmQ7hxrBivyqo8BQQGW6Z6FdByk7ntsbDP3B7RV1+5vKr16u3/Oe2qRmcHad5iW\nfeba2ofPZ+deXlwNUNvKZC+Lb+Gccv+jGVfPvrISF/zbGSTEkZca3HXN1oQC4lycVWqZIgyVmsiW\ndtKSGJrOndP45UeWW1v3c/ebFHgs3cbTkmjdb5kiLPCYYV+rNcAK2txm225KsyjNoiSzlyyIrwYL\neP2b/ldenEHb/p4CrO17nSldyrWuEDQY6yX7qOjqxGduldMHGazQBjnGKsLQNg22NViXjeLDOktT\ntP+cyV+uIs4VcYCV7WbvIbZ3MDSd9KSwMlinlXD+CL7/lvmjr2DRCNknFvJ1Ezv2ku32p0jjXBSl\n89FmM4O1ud1s272iiW27zfIdYMk25lax4tjavn9Qxx1v2N904Z+jLPd2xC8/Zs9Btt1D4x5LIYHB\n2OrYaLBsbAjxz29x0ytcOdrcvGhDwAKanXv9Q2LPAdbyRiZ7GZvPiiZa9nHJX3va8cLnnre4fBRn\nDKM82+YS1KcTljdy7xksWEf9bipzSIxjWaP/4q08y6zBqmunKo+FG8zJAeOtW5hGrpvmDrbssoQU\nQTVYwIyyMAKsrinCIalMKAjOEAcGWJO9LG2g3TpFiDXAqt4RPOqmJJiflJ73s/c9YNQ1WCiDNegt\na+Du6eS48aZZrmCM5R4+m9rM+so31zOr3N9ndmg6SfHUtVPbSmmWmdYy2nMbj1bbSkU2U7yW5gvG\nkOENiYpKsyzfJd2ZUMiwTIbnsLmdA0foOGif90pNpLbVzJOdP4LP6y23vria6h28d6PloJGp9o1o\no/O4aRJ0NQg9eITqHYwvAMzNbZY08D/LAep3U5TOqCG9zA8SMEUYxPim7CHAgmhqsELldpPBOnQ0\nOOqKHckJ7DnI4ag6MvcgJcFm1s+TyL7DNtnW1v026a68VM4cZvNJMX4l3hXBFbCxLdX6FjJT8KaH\ndSUD3D+Tl6vNfweWggFZKeR7+Lw++KGGZZoBVmkmqYlmBmt5I0D9boAtu3C5uKAysgzW0gZmP8Od\nbzLkV2Yx+IYWtu6yX7O8qc3fcf7AEX60yCbQ6TvrW7h2LGlJFHiCl2Ee6WTNdiZ7SU0kK4VtuznS\nSXMHNXfyr6cBTCpkaQNXPMd3X2fXAVr2+XONoQFW9Q7Wdo3SyxuZUMCEAr7cxm8+ZeEG/rCk21fY\n3MHDn3HoKPPX8NOzATODte+wfWFcbSsZycwbx+db+WgzQzMoSGNVsz/A+sHpnD+CvFRc8OvzWLjB\nDMeN2cPMZHP199ZdlqojY2fAjoCGCPfP5Mdn9nJ6fVOEoWv6sAuwAhevBAVY2Sk2AVZiHC4XFdmW\nwqzuGGsno2B8fm27BA8CCrAAOqG6a+OCwJ0KgM+2MuZRHl9q/ljXZlYBL1jHxSMtDzKxkBVN1LZa\nJrCKuvbl2NgWPEUFuBNITbSJpe6fyd3Ten/ZM8q4dixF6ezYy5Z2y64ylmdJZOsuM0VUlce6nZYU\n3bqdnDs8eNLN+GT6wrXKHB6YBV0t6VZtpzzL/Go0eqh8sIl73zHX1xSlc02VpY2QrawU+5m4XgOs\n7JSwpnV6lZuKK6QFQ3ZXk5jYlBRPwx7nt0TsLoNFyHS2O4Gjnfbh3bzxlo0BfFwwNr/3PYsC5Xuo\naSErBW9auO+lfA+dnWaVesOe4FBvspe/rrAJsFr3m5dbI3PNDNayRsBcN7e0gSlexhdEFmA98BEV\n2eR7uGgkz60EzCm2JV01oEsb/MtrGvfw3iY+28r/+Yj73ueBj/zJs37g2zB7aEbwUsGNrRSmmWF3\nRTa1rTTtIdfNsEzzIznZy7Mr+aKe2laeXG6pb8v3BK+J/vUn3PIawGvr2HuISV6uHcv9H/K7xTx/\nNQ/83T8LGeTxpfzwHV5fx4gcs/lLWRZ/W0/hg3h+zmcBLSRuXcCTy3mjhsleMpK5axpLG8x62YQ4\nfwL1nHJKM6nIZkYZ549g9wFeqsabjjfdHNOM75ct7Zacqy+D5RuOcty9h/7GFOH2DvvIJjDAGl/A\nmh3s2OufIkwPyWBtbLUZdVMS/N1Qe3blaP5wSVj3DJKZzDs3BKffBo1B+mdFaEs7Gclm+rQy19Lb\n6esmzinnp+/xdROHjtLcQWkWzR0sqmX2CMuDjMs3+ywE5le8Xfty1LbaBFhArttyNRyRqjx+fg7x\nLgrT+KLefn4QSE3kSKf5lZCaSEmG/2oPqNlJZUhCyPjyCy20z0im4xBfbjPnBzGmCPfS1EFTB69U\nmwHWtWM5t6KXFz+92D7LZYw7ttdkQLbbmfQVkOvm388K3obZiC1iNsBKjmd5o/3eZ8ciJcG+Bsv3\nXx8jtLLdMug7k/jtbPvHX35bZHOaealsaCEjGW96WFOEBiMOAD6sM5eq+Hyjgo1tfPdky0Fj1sPo\nP1KVx7BMctwsa8DVFWAZ6/aHZ3PwCBN/b/lUdqe2lQ828eB5/OQsbp/KC6sBNrRSlceSBvM+973P\nH5cCtB8gMY7qHdy6gFfX8qdljMztaXItarbJM2Br10TY0HQzaeezOqAHgXFi63db0hiTvLxUzXVj\nmVXBtt2WveoS4sh10xRQ+rm0geWN/PYzvvs6T15OcjwzynhzHr+ZzWUn8aMzOf1PzF8T/PKOdvKn\nZYwewj+/xbnDzYNlWSxt4A+X8K+n89o68+CRTv5nOS9X86uPmVkGcPd0RuaakW5ZVnCOZ2Ih734b\nFzx9Be9txJvGyFxOLQGoymPV9uApQmNn0rb9vewcH8SYIuxuW4vAAMuTSEU2n27xj2xGI+vAIvcj\nnTbbpYcfYB2LGWV9/hTHiwIssH7agzJYK5q4sJK7p/HwZ2zdZc6mr97O0c7gq9hxBXzdxCdbLHGD\nL4NV22p2IgiS4w5rNrBnp5Xw7MqeAizw3zq+gBUBV8zrdtp8hIKmCH3iXKQnsXCD/wsm103LPpo7\nuGAEj3zO1l3h/jlXjGJulc3x4gziXN22Es33OPb1H+fiP2cGHzRiypgtck+KZ/V25/vLR5DBSrQ5\n6Lg8D+tbyEzmF7O4bmy4v2XEAe0H+Gwrs4dbbrp1CotvZp41a1uSQXqSmSF79CJunEiO29wXy0gj\nGcNOnIt1d3JWKU8spVd/WsZNk8yP57Ridh1gzQ42tDC3ii+3AWxo5e1acwRr3ENROtOLSYrn4+/Q\n9C+ML/AHWOtbmPlU722fevVBHUW/4arngwvqjd6qRsw0NMP8k3/2Pv/+rv9vNxh17vW7LNvCGJdw\n1483tzYytoz0CZwlPHCEdTt55Hwe/YIHz+PUrqFpahE3TQS44xSeuZIfLbIkvWpb+fG75Lq5bwYb\n2/wXhFOLePU6rqliZhnvdZWvNXeQ4+aVa9nyfe6aBpCexNo7yPdQ4Onpku8bFSy7jevHc1Iuz80B\nGJPH3+tIjg/Onacn0bAnso4w4U8RAlO8vLfJch2SkWypssVu3sDdLwHWIKYAC6wbmwcHWM2MK+CW\nKbyyls+3MiyTfA+fbLGpsx6Xz/JG3tvIrIDkjdE2GtjYTQbr9xdzesmxvv4LK3lzfbcBlpEP8N06\nroAF66h4xNytdlObzQARNEUYKCuFd2qZ3jWK5XQFWLdOJSmeL+qPNV7M97DohuDEks+8cTx60TE9\nfs9iPYOVwOGj3e4gGbXuarCwmyIMPei4vFRzpWR5Vrg1WHQFWK+vY2ZZWK9wWKZ/753MZJLjyXHT\nCacPMzNYq5rNYceTyE2T+N+QFEuov63nkq7KBBdcMYrnVlLXzpwx/L2OWU8z6yn+6WTq2jl8lKY9\nFKTx07P546Vm8UBgXHL/h7hg1tO9b/Ng6+mvKH+E8kf41nyencOmNt7dyLJGqh7j1CcAmjvITDHX\n/fkyWC+s4o0aCCOD5U1j4beYWGhOAgROEQb+IQvW8VUjI3K4cSLr7+Iau2s2YFY5+R6eXek/Mm8+\n2zt4/FIuqOSq0ZzetadCcrx5hk8tYUWzuRQxqA9zoIK0XhY1V+ZYdpUdk8dnW23aPhmdPz2RBFg9\nTxH+YpalE+GUIjZZG9AsusE/TdldgNU/GaxBTAEWWD/tlTmWviwrmhiXT46bW6Zw998ozSTfw8eb\nbVaujhrCxjaGZlgSrcboYBQn2S6UmF4czQ7kQWaP4GhnLxks30Tk+AL+vIKjnfxhidkz3ebLr5sp\nQiDbzcEjZoU7XasImzvwpvHsHK6pciAh10PGOCne4QVuQYzmMbFb5B4POL8FdXLYGSxzirDvM1gQ\n8RupIpuNbcxfw+UhXRZtzSznL1dZjhhfY6eVsHUXRzqpaTFbRQCTCnHB0obgBwnU3EFtq//aBpgz\nht9/yZBURufxX+fw/enMv4ZfnktROhvbaNxDgYfTS5jQ9Wn1xSU1LSzcwCvXmVutR2rLLu5ZyF+v\n4sW5PDSbq8dwajE1O3mzhplltOxjWaNlFszIYK3dyZ6D1LaaS7ADr2lXbw/OYIGZVTL2KQpcRej7\nQw4d5YrnuGehv2KhBzdM4N2ujNSGVja28vuLmVBAcjwvzrXZVNidwNQisyN84BYCQf7pZO49o/dn\n9xmRQ5zdmoyMZI52RpPB2tFNBusbFZZHM4KtwPYrgftHGUN9aID18Pm9dNuRninA4mgni+v9n/bS\nLHPzgYc+5Qdvk5xgvu1+ejaZyZRmke9hSYNNBispnpNymVVuOehJJDGOFU140/uwji8vlalF4U4R\nThvKvHEs/BZPLWdFs32Pk+6mCIGsFKZ4/X+LsYrQ2D0wL5Vn5wz4ckVj95XYlBRv1ow7qzDN5urC\nrMEKadNA32ewjE90pL2+KrJZ1sA7tVxyUlj3T44PPpO+AKt+Nxta8KZZ/tJLT+LN9f4ft+02t/L1\nebuWmeWWZchnDCPORUU2LvjuyVw8ksle4l1U5rBuJ00dwWNCUVdJ6P+u5poq0pPMkqAw7T1kbtX3\ng7e5axrTi5niZc4Y6Cpdrd7BKUOZW8VzK9m6y58gKc6gfjcvV3PFaM4sZeEG1u60BJfrW1i93X4p\nmdF5P3AVIV07sW5sxZPIJ1uYEkaAVZ5ttrMB/rKCuVWWM2nr3ApzuUDQutFA+Z7ILikT4hiZa5/B\nIqQksWfuBHYfpP1AuD19EuK6Hdm6y2BdWGkTekr4BviXoRN+/C7pyf6iongXEwpYso3nV/HfS/xX\n8+4E3rmBW6eQ72H/YftWTDdPsVk9503nb+t7b2pyjP7vBVzWzbhvfGn5UtyFaTxzJSNzOaec2xbY\nZ4DTkvAk+ptQBMpOMas1Db4pwu7W/Q042e7YrcFKTqAk0zKj4YiZZTYrjHrKYB1zTrdnxpRKFBms\nxduYWR79BrQ5boakUplDcwdfNQWPCVX5luKE2c9Q9jBv1/qPLFgXXPsV5+KK0TZj0chcanaaU4SB\nfBULH9ZxVinAmDxW2XXhemwxnl9w2hP+Ix9tZuxjnPkkH21mUS33nGq5f2UO61vMHWCuHsPzq9jc\n7g8jhqZT18YflzK3ilnl/OOrnDfcn19JiueUoby1wb6ZWbabfYdo6rDJYNW0cGoJD83mgkqbXwxS\nmukvOHul2r4ANMi1Y3lhFQeO9DRFGIUxefYZrIS4yGYz3InU7yIrpduCikCpiYwe0u1HO8cd/WaC\n0oM+HslOeG37eWwxNXda8i7TivmgjlXbWXyzZa8b4yrciCRCV94Bd55ic9CbxtNfcetUJ192qB76\nTqUkEOeyyW89fQW//Nh+x8DCNP58lc1xYG6VZUDPcdOwG3fi4Plw/vfFluR5TCnNNBMS/eB41mBF\nlcEqzSLeZdmQJFJlWcwoIyGOIanMXxPcdaIyx1/n/uU2Dhzmh2fw4mpzpqxhDws38LuQAsSfnW3T\nSNOYdDt4xDKfSFdccqSTT7bw9BUAVfmWGM7Q1MHP3ueLm7n0r3xez7ShLGtkzvM8eTmvruWiv/D9\n6cH/jypzqdlJyz5OyiUrhawUfrfYbJ4HDM2grp0ZZZxewvBsctx8a4Ll188qZdHG4ClCgwsK09i6\ny3LZc1Iujy9hbD6VOWF1tAGGZVK/m6OdxLmobWV0GFe8FdmMzuONGhr2+KdZj919M2wu4TKSI0tf\nASkJfFEfQfep567270gWpDiDD2+K7NklHLEeYK3ZweghwdmXaUP54TuMHuJPYgcy7hx+M/GidN7b\nxHnDe79nH3HBohtsrl0S4rrtZRfn6jYfFnTl50kkMd5mfe/AFfSdFFMmFvZfcGlksIK+VJITiHP1\nR5E7kWewEuN48Dx/jXkUhmfzwtUAI3LY3M5PzrLcWpnL+q4GMU8u59sTGZfPa10drR5bzDfH2XyK\nbTPHI3N5uRp3YnAGywiwljVQnGEu1K3KY2VIBuvnHzJvHFV53D6VR7/g5Mu5fj6PXMAFI5hYyKdb\nuCPkSrIsi627yE01X+FDs5n5lD9P404g38N9MwAK07hhQvCvG+m07rpNFqax95Clyd/UIlZt5+sm\nJoUxOWhIiifXzbbdZLvZfzjc/mfXj+e5lew/zPkjer9zmGy/VjKSIyvAAuaMYUNLBHsY9Lx1dMxe\nVfapWA+wqnfYXMpMK2Zze7cRRr6HrJRu+wiE8qZTnEFVH08R9qxPG43kuAfP/KD0G6MTT9A0tAvc\ndk2znJXnwRXVWtHvTXfmBXxwo83BwjT2HaZtP5kpvLCKL2+hE2paOHSU2xfwUjWf/2O4jz+tmK+b\nSE0MzltnpXDwCAvWcXaZeaQkkz0HLftiAa+s5a3rAf5hEqP+H7e/TmayuUDPm8by22yeMTGOsoD9\nJ2aU8cAsTglIq6+4vadRYnox88Z1u7jEm+7fCNKQmkhVHi+FN9PnY3Rp7zgUQVBy6Un8eBFlWU5O\nEdrKSI5sCSFQmsljfbmkWo5drNdgrdlucz1RnkW+p9tMxughvHpdBE9Rkc0Fzl39nIAUYEkUjDq/\nUP0w3ZzrZv41YW0A0p9cxhLmFqp3kJHMsExKMti5l/c38UU9tXdHkDXPTOYfJlHXbpNaLkrnoU+5\nebL/SUcPsSSx1u6ks9McFXPcvPZNnlvJf4R0jAtVmWsZS+89w/KCex4iUhJ45spub/Wm2dRxn1ZC\n2/6w9iH2Kc1iU5ul+r5X3jSKM1jW6MDi6J5FkcGSE1+sB1jVO+wTp49e2G3hZJyLM4fZ32Tr9qlR\n7iEwUCjAkijke3j/Rpvjqf1Szxdmq4V+ZswSfrKF00oAc4XgU8s5pzziCc3vTacsK3iKECjJ4I5T\nLPNBZ5fxVsDqxbc3+NuaA9OG0nZv7xszACcX9dWSftuG+6eVkBQf1j7EPqWZ1LVHFmCBuWNH6Jl0\nVhQ1WHLii/UAa80O+xnxOWOiXysUa3IVYElUbMs+3HZdSWOE0YTv064AC6jM5aVqfxvM8BWmsfFu\nmzX286/h/nMsR66pMrfcAY528kZNWOFUqPtm8J1Jvd8tCqOG2CwqmlHGtyf03mohUFnkGSxg9nDy\nUvu8+4wyWINSTAdYB46wbbd9g3UJX6SdYER68MRl9ps6x4KRuby/ib9vDgiwcth7yP/jsQtd1T/Z\nS2cnyxtp2EP5I2zdFbzL6nF31WgePC/4YL4n4pmBsizWt0TxAx/yAAAFLklEQVQcYJ1dxgtzI3ui\nKFRkx+7bfhCL1UtFAJY3Up4V2TWQhPrVufYds0SicOw7Rw1cV43hxdU07vF/11bmUppp37/AQd8c\nx399SJ6HuVX8+ty+fa7jaHoxSxvo7IysKDY+wpqQ6MwoG8x7Hses2A2wmju4fj7/FskuB2IrZvue\nizjLk8jL11Lb6k8ynVvRHxVpPzyDs55k0UY23NXnz3UcZSRzxjDerOGh2cf7pUhscHV2dvZ+L9vf\ndNkswgnn0Vyu6J/UQR9tZmUzt/Vx/08RkRNf4x42t1saKwxKf1zKza/R9C8qG5VjFU4kE2Ws091D\nh/WUJ0aAJSIiMaW5g9OeoOYuTrAeHTLwnBAB1vDhw2trg/diUIAlIiIiA9QJEWBFdx8RERGRE1M4\nkUyURe6dnZ1R12CJiIiIDG7RryJULCUiIiJiSz2gRERERBymAEtERETEYQqwRERERBymAEtERETE\nYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQqwRERERBymAEtE\nRETEYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQqwRERERBym\nAEtERETEYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQqwRERERBymAEtERETEYQn9/5TZ\n2dkul6v/n1dERETk2GVnZ/d6H1dnZ2c/vJQTk8sV03++I3QOnaIz6SCdTAfpZDpCp9EpA+hMaopQ\nRERExGEKsEREREQcpgBLRERExGEKsEREREQcFtMB1pgxY473SxjwdA6dojPpIJ1MB+lkOkKn0SkD\n6EwOmGp8ERERkYEipjNYIiIiIn1BAZaIiIiIwxRgiYiIiDhMAZaIiIiIw2IrwNIeiMdO59BZPZ9P\nne1wuAKEc+d+eEkDmk7RsdM5dNxAHCpjK8CSY2RsAnVivpUlNhnvSR+9OeW40zgphtgNsEIveY1/\nh3kdLD6258138Li9rIEm9OxJr0K3fQ36Ygv6mOttGSmNk07ROOmUATRUxmiAFXjVG/R/S9fB3fF9\nmYWeH9vzNoD2PJdBKfRj7nsDH++XNjBonIyCxknxidEAq7s3tN7o0bE9bzqZcuLQuzEKGiedpXEy\n1iQc7xdw3OjaKwo6aSIxRR/5KOikiWHwB1i2CdjAg/owhCP0NCqzHTWdOjnRaJx0hMZJZw30sxej\nU4TiLA2+DtLJDF93ZS6h99RZleNOb0Jnnfjnc/BnsAKHYN/IG3RwoIfJx11QEbH0rOf3pGqHIxJ0\nugLfgbbnmYF/WdwXNE72A42TkRroQ6U+MHKsNOyKiPRM42QM0hShiIiIiMMUYImIiIg4TElLERER\nEYcpgyUiIiLiMAVYIiIiIg5TgCUiIiLiMAVYIiIiIg5TgCUiIiLiMAVYIiIiIg5TgCUiIiLiMAVY\nIiIiIg4b/Js9i8igYbu3q/YhFpETkEYlERl4FFGJyAlOU4QiMuD5MlvGP4J+DLyboZ9fnojEIE0R\nisigYiS3jCgqcPYwMOmlBJiI9DVlsERkUPFFTgqhROQ4UgZLRGKFJgdFpN8owBKRWKGcloj0G00R\nikjMUSpLRPqaMlgiEhN8le8olSUifU9LaUREREQcpilCEREREYcpwBIRERFxmAIsEREREYcpwBIR\nERFxmAIsEREREYcpwBIRERFxmAIsEREREYcpwBIRERFxmAIsEREREYcpwBIRERFxmAIsEREREYf9\nf5Rlkz5LmVVQAAAAAElFTkSuQmCC\n",
       "prompt_number": 79,
       "text": [
        "<IPython.core.display.Image at 0x885afd0>"
       ]
      }
     ],
     "prompt_number": 79
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=\"combined.png\")"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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/XR5gtbzTk735W4D10V5+/Cn9+jC+P/88j9HN5k9ZbfxhOW9v58bxvL+TMQkc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\n3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NpqDuvjxZ7LPMjmj1OMCWDaAabsMTiYK7eoZ0U3Dw7Hk62i63ylvv7DHYTMLvi1LAhT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\nAElFTkSuQmCC\n",
       "prompt_number": 80,
       "text": [
        "<IPython.core.display.Image at 0x885ab90>"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(filename=\"ccf_rain.png\")"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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