{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A Rubric for Data Wrangling and Exploration\n", "\n", "Companion to Lecture 4 of [Harvard CS109: Data Science](http://cs109.org) | Prepared by [Chris Beaumont](http://chrisbeaumont.org)\n", "\n", "\n", "\n", "*This scene from Cast Away is an accurate metaphor for the amount of time you'll spend cleaning data, and the delirium you'll experience at the end.*" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import numpy as np\n", "\n", "#tell pandas to display wide tables as pretty HTML tables\n", "pd.set_option('display.width', 500)\n", "pd.set_option('display.max_columns', 100)\n", "\n", "def remove_border(axes=None, top=False, right=False, left=True, bottom=True):\n", " \"\"\"\n", " Minimize chartjunk by stripping out unnecesasry plot borders and axis ticks\n", " \n", " The top/right/left/bottom keywords toggle whether the corresponding plot border is drawn\n", " \"\"\"\n", " ax = axes or plt.gca()\n", " ax.spines['top'].set_visible(top)\n", " ax.spines['right'].set_visible(right)\n", " ax.spines['left'].set_visible(left)\n", " ax.spines['bottom'].set_visible(bottom)\n", " \n", " #turn off all ticks\n", " ax.yaxis.set_ticks_position('none')\n", " ax.xaxis.set_ticks_position('none')\n", " \n", " #now re-enable visibles\n", " if top:\n", " ax.xaxis.tick_top()\n", " if bottom:\n", " ax.xaxis.tick_bottom()\n", " if left:\n", " ax.yaxis.tick_left()\n", " if right:\n", " ax.yaxis.tick_right()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 59 }, { "cell_type": "markdown", "metadata": {}, "source": [ "I'd like to suggest a basic rubric for the early stages of exploratory data analysis in Python. This isn't universally applicable, but it does cover many patterns which recur in several data analysis contexts. It's useful to keep this rubric in mind when encountering a new dataset.\n", "\n", "The basic workflow is as follows:\n", "\n", "1. **Build** a DataFrame from the data (ideally, put *all* data in this object)\n", "2. **Clean** the DataFrame. It should have the following properties:\n", " * Each row describes a single object\n", " * Each column describes a property of that object\n", " * Columns are numeric whenever appropriate\n", " * Columns contain atomic properties that cannot be further decomposed\n", "3. Explore **global properties**. Use histograms, scatter plots, and aggregation functions to summarize the data.\n", "4. Explore **group properties**. Use groupby and small multiples to compare subsets of the data.\n", "\n", "This process transforms your data into a format which is easier to work with, gives you a basic overview of \n", "the data's properties, and likely generates several questions for you to followup in subsequent analysis." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here's a preview of the raw data we'll use -- it's a list of the 10,000 movies made since 1950 with the most IMDB user ratings. It was scraped about a year ago from [pages like this](http://www.imdb.com/search/title?sort=num_votes,desc&title_type=feature&year=1950,2012). Download the data at [http://bit.ly/cs109_imdb](http://bit.ly/cs109_imdb)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "!head imdb_top_10000.txt" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "tt0111161\tThe Shawshank Redemption (1994)\t1994\t 9.2\t619479\t142 mins.\tCrime|Drama\r\n", "tt0110912\tPulp Fiction (1994)\t1994\t 9.0\t490065\t154 mins.\tCrime|Thriller\r\n", "tt0137523\tFight Club (1999)\t1999\t 8.8\t458173\t139 mins.\tDrama|Mystery|Thriller\r\n", "tt0133093\tThe Matrix (1999)\t1999\t 8.7\t448114\t136 mins.\tAction|Adventure|Sci-Fi\r\n", "tt1375666\tInception (2010)\t2010\t 8.9\t385149\t148 mins.\tAction|Adventure|Sci-Fi|Thriller\r\n", "tt0109830\tForrest Gump (1994)\t1994\t 8.7\t368994\t142 mins.\tComedy|Drama|Romance\r\n", "tt0169547\tAmerican Beauty (1999)\t1999\t 8.6\t338332\t122 mins.\tDrama\r\n", "tt0499549\tAvatar (2009)\t2009\t 8.1\t336855\t162 mins.\tAction|Adventure|Fantasy|Sci-Fi\r\n", "tt0108052\tSchindler's List (1993)\t1993\t 8.9\t325888\t195 mins.\tBiography|Drama|History|War\r\n", "tt0080684\tStar Wars: Episode V - The Empire Strikes Back (1980)\t1980\t 8.8\t320105\t124 mins.\tAction|Adventure|Family|Sci-Fi\r\n" ] } ], "prompt_number": 60 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Build a DataFrame\n", "\n", "The textfile is tab-separated, and doesn't have any column headers. We\n", "set the appropriate keywords in pd.read_csv to handle this" ] }, { "cell_type": "code", "collapsed": false, "input": [ "names = ['imdbID', 'title', 'year', 'score', 'votes', 'runtime', 'genres']\n", "data = pd.read_csv('imdb_top_10000.txt', delimiter='\\t', names=names).dropna()\n", "print \"Number of rows: %i\" % data.shape[0]\n", "data.head() # print the first 5 rows" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of rows: 9999\n" ] }, { "html": [ "
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0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 mins. Crime|Drama
1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 mins. Crime|Thriller
2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 mins. Drama|Mystery|Thriller
3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 mins. Action|Adventure|Sci-Fi
4 tt1375666 Inception (2010) 2010 8.9 385149 148 mins. Action|Adventure|Sci-Fi|Thriller
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 61, "text": [ " imdbID title year score votes runtime genres\n", "0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 mins. Crime|Drama\n", "1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 mins. Crime|Thriller\n", "2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 mins. Drama|Mystery|Thriller\n", "3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 mins. Action|Adventure|Sci-Fi\n", "4 tt1375666 Inception (2010) 2010 8.9 385149 148 mins. Action|Adventure|Sci-Fi|Thriller" ] } ], "prompt_number": 61 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Clean the DataFrame\n", "\n", "There are several problems with the DataFrame at this point:\n", "\n", "1. The runtime column describes a number, but is stored as a string\n", "2. The genres column is not atomic -- it aggregates several genres together. This makes it hard, for example, to extract which movies are Comedies.\n", "3. The movie year is repeated in the title and year column\n", "\n", "### Fixing the runtime column\n", "\n", "The following snipptet converts a string like '142 mins.' to the number 142:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "dirty = '142 mins.'\n", "number, text = dirty.split(' ')\n", "clean = int(number)\n", "print number" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "142\n" ] } ], "prompt_number": 62 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can package this up into a list comprehension" ] }, { "cell_type": "code", "collapsed": false, "input": [ "clean_runtime = [float(r.split(' ')[0]) for r in data.runtime]\n", "data['runtime'] = clean_runtime\n", "data.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 Crime|Drama
1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 Crime|Thriller
2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 Drama|Mystery|Thriller
3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 Action|Adventure|Sci-Fi
4 tt1375666 Inception (2010) 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller
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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 63, "text": [ " imdbID title year score votes runtime genres\n", "0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 Crime|Drama\n", "1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 Crime|Thriller\n", "2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 Drama|Mystery|Thriller\n", "3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 Action|Adventure|Sci-Fi\n", "4 tt1375666 Inception (2010) 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller" ] } ], "prompt_number": 63 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Splitting up the genres" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use the concept of *indicator variables* to split the genres column into many columns. Each new column will correspond to a single genre, and each cell will be True or False." ] }, { "cell_type": "code", "collapsed": false, "input": [ "#determine the unique genres\n", "genres = set()\n", "for m in data.genres:\n", " genres.update(g for g in m.split('|'))\n", "genres = sorted(genres)\n", "\n", "#make a column for each genre\n", "for genre in genres:\n", " data[genre] = [genre in movie.split('|') for movie in data.genres]\n", " \n", "data.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 Crime|Drama False False False False False False True True False False False False False False False False False False False False False False False False
1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 Crime|Thriller False False False False False False True False False False False False False False False False False False False False False True False False
2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 Drama|Mystery|Thriller False False False False False False False True False False False False False False False True False False False False False True False False
3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 Action|Adventure|Sci-Fi True False True False False False False False False False False False False False False False False False False True False False False False
4 tt1375666 Inception (2010) 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller True False True False False False False False False False False False False False False False False False False True False True False False
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 64, "text": [ " imdbID title year score votes runtime genres Action Adult Adventure Animation Biography Comedy Crime Drama Family Fantasy Film-Noir History Horror Music Musical Mystery News Reality-TV Romance Sci-Fi Sport Thriller War Western\n", "0 tt0111161 The Shawshank Redemption (1994) 1994 9.2 619479 142 Crime|Drama False False False False False False True True False False False False False False False False False False False False False False False False\n", "1 tt0110912 Pulp Fiction (1994) 1994 9.0 490065 154 Crime|Thriller False False False False False False True False False False False False False False False False False False False False False True False False\n", "2 tt0137523 Fight Club (1999) 1999 8.8 458173 139 Drama|Mystery|Thriller False False False False False False False True False False False False False False False True False False False False False True False False\n", "3 tt0133093 The Matrix (1999) 1999 8.7 448114 136 Action|Adventure|Sci-Fi True False True False False False False False False False False False False False False False False False False True False False False False\n", "4 tt1375666 Inception (2010) 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller True False True False False False False False False False False False False False False False False False False True False True False False" ] } ], "prompt_number": 64 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Removing year from the title\n", "We can fix each element by stripping off the last 7 characters" ] }, { "cell_type": "code", "collapsed": false, "input": [ "data['title'] = [t[0:-7] for t in data.title]\n", "data.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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0 tt0111161 The Shawshank Redemption 1994 9.2 619479 142 Crime|Drama False False False False False False True True False False False False False False False False False False False False False False False False
1 tt0110912 Pulp Fiction 1994 9.0 490065 154 Crime|Thriller False False False False False False True False False False False False False False False False False False False False False True False False
2 tt0137523 Fight Club 1999 8.8 458173 139 Drama|Mystery|Thriller False False False False False False False True False False False False False False False True False False False False False True False False
3 tt0133093 The Matrix 1999 8.7 448114 136 Action|Adventure|Sci-Fi True False True False False False False False False False False False False False False False False False False True False False False False
4 tt1375666 Inception 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller True False True False False False False False False False False False False False False False False False False True False True False False
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 65, "text": [ " imdbID title year score votes runtime genres Action Adult Adventure Animation Biography Comedy Crime Drama Family Fantasy Film-Noir History Horror Music Musical Mystery News Reality-TV Romance Sci-Fi Sport Thriller War Western\n", "0 tt0111161 The Shawshank Redemption 1994 9.2 619479 142 Crime|Drama False False False False False False True True False False False False False False False False False False False False False False False False\n", "1 tt0110912 Pulp Fiction 1994 9.0 490065 154 Crime|Thriller False False False False False False True False False False False False False False False False False False False False False True False False\n", "2 tt0137523 Fight Club 1999 8.8 458173 139 Drama|Mystery|Thriller False False False False False False False True False False False False False False False True False False False False False True False False\n", "3 tt0133093 The Matrix 1999 8.7 448114 136 Action|Adventure|Sci-Fi True False True False False False False False False False False False False False False False False False False True False False False False\n", "4 tt1375666 Inception 2010 8.9 385149 148 Action|Adventure|Sci-Fi|Thriller True False True False False False False False False False False False False False False False False False False True False True False False" ] } ], "prompt_number": 65 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Explore global properties\n", "\n", "Next, we get a handle on some basic, global summaries of the DataFrame.\n", "\n", "### Call describe on relevant columns" ] }, { "cell_type": "code", "collapsed": false, "input": [ "data[['score', 'runtime', 'year', 'votes']].describe()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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count 9999.000000 9999.000000 9999.000000 9999.000000
mean 6.385989 103.580358 1993.471447 16605.462946
std 1.189965 26.629310 14.830049 34564.883945
min 1.500000 0.000000 1950.000000 1356.000000
25% 5.700000 93.000000 1986.000000 2334.500000
50% 6.600000 102.000000 1998.000000 4981.000000
75% 7.200000 115.000000 2005.000000 15278.500000
max 9.200000 450.000000 2011.000000 619479.000000
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317 New Moon 2009 4.5 90457 Adventure|Drama|Fantasy|Romance
334 Batman & Robin 1997 3.5 91875 Action|Crime|Fantasy|Sci-Fi
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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 74, "text": [ " title year score votes genres\n", "317 New Moon 2009 4.5 90457 Adventure|Drama|Fantasy|Romance\n", "334 Batman & Robin 1997 3.5 91875 Action|Crime|Fantasy|Sci-Fi" ] } ], "prompt_number": 74 }, { "cell_type": "code", "collapsed": false, "input": [ "# The lowest rated movies\n", "data[data.score == data.score.min()][['title', 'year', 'score', 'votes', 'genres']]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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1982 Manos: The Hands of Fate 1966 1.5 20927 Horror
2793 Superbabies: Baby Geniuses 2 2004 1.5 13196 Comedy|Family
3746 Daniel the Wizard 2004 1.5 8271 Comedy|Crime|Family|Fantasy|Horror
5158 Ben & Arthur 2002 1.5 4675 Drama|Romance
5993 Night Train to Mundo Fine 1966 1.5 3542 Action|Adventure|Crime|War
6257 Monster a-Go Go 1965 1.5 3255 Sci-Fi|Horror
6726 Dream Well 2009 1.5 2848 Comedy|Romance|Sport
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 75, "text": [ " title year score votes genres\n", "1982 Manos: The Hands of Fate 1966 1.5 20927 Horror\n", "2793 Superbabies: Baby Geniuses 2 2004 1.5 13196 Comedy|Family\n", "3746 Daniel the Wizard 2004 1.5 8271 Comedy|Crime|Family|Fantasy|Horror\n", "5158 Ben & Arthur 2002 1.5 4675 Drama|Romance\n", "5993 Night Train to Mundo Fine 1966 1.5 3542 Action|Adventure|Crime|War\n", "6257 Monster a-Go Go 1965 1.5 3255 Sci-Fi|Horror\n", "6726 Dream Well 2009 1.5 2848 Comedy|Romance|Sport" ] } ], "prompt_number": 75 }, { "cell_type": "code", "collapsed": false, "input": [ "# The highest rated movies\n", "data[data.score == data.score.max()][['title', 'year', 'score', 'votes', 'genres']]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
0 The Shawshank Redemption 1994 9.2 619479 Crime|Drama
26 The Godfather 1972 9.2 474189 Crime|Drama
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 76, "text": [ " title year score votes genres\n", "0 The Shawshank Redemption 1994 9.2 619479 Crime|Drama\n", "26 The Godfather 1972 9.2 474189 Crime|Drama" ] } ], "prompt_number": 76 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Run aggregation functions like sum over several rows or columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*What genres are the most frequent?*" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#sum sums over rows by default\n", "genre_count = np.sort(data[genres].sum())[::-1]\n", "pd.DataFrame({'Genre Count': genre_count})" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Genre Count
Drama 5697
Comedy 3922
Thriller 2832
Romance 2441
Action 1891
Crime 1867
Horror 1215
Mystery 1009
Fantasy 916
Sci-Fi 897
Family 754
War 512
Biography 394
Music 371
History 358
Animation 314
Sport 288
Musical 260
Western 235
Film-Noir 40
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 79, "text": [ " title year decade\n", "0 The Shawshank Redemption 1994 1990\n", "1 Pulp Fiction 1994 1990\n", "2 Fight Club 1999 1990\n", "3 The Matrix 1999 1990\n", "4 Inception 2010 2010" ] } ], "prompt_number": 79 }, { "cell_type": "markdown", "metadata": {}, "source": [ "[GroupBy](http://pandas.pydata.org/pandas-docs/dev/groupby.html) will gather movies into groups with equal decade values" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#mean score for all movies in each decade\n", "decade_mean = data.groupby(decade).score.mean()\n", "decade_mean.name = 'Decade Mean'\n", "print decade_mean\n", "\n", "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n", " color='r', lw=3, label='Decade Average')\n", "plt.scatter(data.year, data.score, alpha=.04, lw=0, color='k')\n", "plt.xlabel(\"Year\")\n", "plt.ylabel(\"Score\")\n", "plt.legend(frameon=False)\n", "remove_border()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "year\n", "1950 7.244522\n", "1960 7.062367\n", "1970 6.842297\n", "1980 6.248693\n", "1990 6.199316\n", "2000 6.277858\n", "2010 6.344552\n", "Name: Decade Mean, dtype: float64\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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ZYrj2dhJHOBzGiRMnhGobDocNxxwcHES5XJZ7EolEUC6X5Tms1+sGIgjJJVer\nXHZA+syZM/j5n/95vPTSS3C5XHj/+9+Pd7zjHfjgBz+4OqgrGJDWw096RRMTEwYqayQSMbAv6EUx\nz657u7xWev46q0KnhNL7bjZbTd8CgYBhYaZSKRQKBdkHl0aIYrFYEI1Gkc/nJRXw/PPPG8DiLVu2\niBHR8/QUvd0G0FJeiURCjul2u1EqlUShke2hC+sviL+sx2AiUM5o53wKsB0UrFQqBsyBuWHdy8/l\ncjLfTqcTHR0dMsdut1vYTjrmoAORZwPjeUymxvR72D4X9PzpyRYKBZkfEhnIrNJJBfq4PR7PeVMd\nesTD4j+KxdLalY3rmdegj3tpaUnm0+FwoLu7G8Fg8JzHZGEiU4M8B6+7HZBmkSa9+Ww2azgmx8S0\nFgBJRxGf2bFjxxpAX4+20+k0stksKpWKjI8pXK6ReDyOUqlkiCL0qJVOrD5uE5B+jSQYDMLhcKBY\nLMJms6FYLBpCwStdLBYLcrkcUqkUgBYQRk8VaHlibrdbvDOn0wmv14tMJiOplHg8btiekJRGeixM\n7dCj0dlNFKUUTpw4gVqtBo/Hg0QigYWFBeGaRyIRZDIZOWZXVxcKhYJ4WlQETCt5vV7YbDYDgBcI\nBDA6OopSqQSPx4P+/n5MTEzIvRseHkYqlRKQO5FISPoLWO39RK/S4XAYgN5ms2noWQS0vD2ykTgX\ny8vLEjVFo1HY7XaMj48DaIHefX19Mhderxd9fX04evQoSqUS7HY7duzYgUKhIMrK5/OhVCqJVxmJ\nRAxpJirFQqEg4yQ1lQpRp6oSOM/lcnKMeDy+BpzXoyav14tEIiFzVKvVYLfbkclkxDgkEgkx+DyG\nDqQHAgGJGPl5OByWSnq/3y/Gm46JTju1WCxr6LCBQACVSgXpdFrmX6eAkpHEe8oUJueGxxwbG5Oo\ndPfu3cjlcpiamgIADA8Po1wuy+tQKIREIoHZ2VnxzgOBgGACNpsNHR0dWFxclLWXSCQwPT2N0dFR\nAMDWrVtRr9dlfvkMjY6OolqtIhwOIxgMiqFzOByIxWKYmJhAPp+H3W7HNddcg4WFBVnPQ0NDsFgs\nMhfhcBhOp9OQyrqaI4fLbhwikQg+9rGPob+/Hx6PB7feeive+ta3Xu5hvGJpNBoChFksFmSzWYRC\nIYOHQuWnA7V6BSkXOLAaltMb4v96qiQQCCAYDApF1u/3Y3FxUVJVVHQejweFQkFaBVBJM4dMkBVo\nRQGRSEQ9Kt/qAAAgAElEQVTG1tHRYUjn5PN5Sb2wovjMmTOGdEImkzF4/XNzc4b8t45NcByBQEBS\nFW63W7COcrkMh8MBr9drSG2RXkipVCrIZDIAIMDk5OSkzEWhUMCpU6cMtNLFxUV0dHSIoqcXzHPo\nRYRU1ATzaeBJ1dTvGYWMH+6TzLnRI55SqSQGmUAtW7DwN/RGdYxBp1Xq1E3Or56SW1paQjabldek\nJpPxpRc4Mj3Xzv3XU0xAy0GJxWKYmZlBvV6XAjB+R2fU0QNfWVkR5pHFYsHhw4cRDAZljkdHR4W9\nxUic6TS+djqdcLlcYjT9fr+k2RiZ0RniOenYAC2W0sLCgpxTf150ujevm2tAp0AvLCygo6ND7iPp\nyvo6aS9UvJrkshuH06dP4/Of/zzOnDmDUCiE973vffjXf/1X3HXXXYbvfeYzn5G/Dxw4gAMHDlze\ngZ5F6MlQKXIh9fT0GABG/aFnyK6/5sOhKyAei54oi78ItnV2dso5UqmUIS3TbDbh8/kkLK/VavD7\n/QLe6WkcCqMYGgeydMrlsuT6qYAYWVBhEVBtNBooFAqGqnEqDgKf7F3E9Jjf75dxNptNhMPhNdW1\nZKsw9cIHkGkiHZSlEaQnS6oi57NSqayhbjJdo18TWUlkpbAuhNdKRhhTb8BqkzlgFbw9W1q0Xq8b\ngFxiUDoIGwwG4fP5hNLr8XgkRcXr4fyy1xLbh9ChaCcdNJtNQ3U1jQJTMI1GA7Ozs3C5XEgkEgbi\nAud5YGBAjqmnFvl7zjvPoY+TWAw98nA4LNt+8p5xrVUqFfh8PlQqFcHmGKV1dHTI86d/j/erUChI\npBWNRoXxxciPqaSVlRW4XC6USiUEg0HU63X4fD6JiujUtPfX4nOmr5N2Nt7VJJfdODzzzDPYv3+/\ncOjf85734PHHHz+ncbiShItMr1J1OBwCWgEtUI/ebbVaRUdHh3h01WpVFq4O4OXzeQOQu7i4KA9h\nqVRCd3e34WELhULIZDJieDweD44fPy5e58jIiPQYAlr0Wr3aE2iBiAzDC4UCksmkpAKKxSJisRjO\nnDkjCmf79u04c+aMXPv27dtRLBZFOTscDuRyOUmxVSoVdHV1SRhOZbi0tCQc/3g8LgqM88veUQAE\n+NX3MGaqisfs7+/HmTNn5PXIyAhOnjwp404kEgaANBgMYmFhQeaCiplppkqlAo/HI+eoVCpwOByY\nnZ2FUgqZTAY9PT0Grz0ajYri4Dny+bxhvuPxuJyDGEYulxPaZCAQECDdarWio6MDhUJhzbg5FyRG\n6HOxdetWuYc2mw2xWEwiXeb/9cr5zs5OvPjii3IPC4UCwuGwjNPn8yGZTBoIFj6fTzAZRjgTExNy\n7T09PQbwfXh4GFNTU5KKZTqRKbdKpYJEIoHJyUlZ7wMDAzh27JgY8E2bNuHUqVOy9oaHh5HNZsXg\n+Hw+rKysyHquVqvwer2YmJgAsNr+5OjRo2g2m5icnMT111+P0dFRGef27duRyWTkntGx4npuNBoI\nh8Nyzkqlgs7OTlytctkB6UOHDuGuu+7C008/DbfbjV/7tV/DG97wBvzu7/7u6qCuYECaotMgyd0H\nIMCizikHVltiezweOJ1OQy8and4JrG3FwArSdkCUfP1QKITp6WlDvtrv96Onp0eOSXCNSsDj8WBi\nYkI+1ymiZHOwQGh5eVnos8QMyDDp7u6Wh8ntdhtSNA6HA6FQyED1XFlZMXQiZYTEuWBNh56u8Pl8\nhvkulUrygHJearWaeIKMYNLpNPx+v3ip9AyVUsjlcoa54P3iOelZ06vP5XKSjmIEprfCdjgc6Ojo\nkGO2s348Hg/C4bDMDUFXncXGc5ZKJTEeegqHeJe+1vRUh8/nQywWM0RH7dRhGnOmVvL5PBYXFw2O\nyebNmw0gLAvMOBc8PqOqdDotBofGIhKJiDHw+/0GbCocDguDj+OmN14ul8X4MFLTqaN6FOh0OgVv\n6ezsFNIB55f3s1arwefzYWJiQtYfI2GuJ2InnZ2dBvwwFosZ5kLvTOB0OhGJRNZt73I1yGWPHPbs\n2YNf/dVfxfXXXw+r1YrrrrsOv/Vbv3W5h/GqRAcebTabFNQALXzAZrNhYWFBUj3RaFQqpOv1OuLx\nOFKplCz8zs5OzM7OysOTTCZFUQKroX06nZYQ2ev1YnFxEZVKBeVyGcFgELlcTtgUHo8HMzMzwuYY\nGhoyMC9sNhuy2SxOnjwJAOjt7cWmTZsEsHO73fD5fJienpZwv7+/Xx40AIbGf/pc0HMNhUICKHPc\n9MRogFg9yweeuWR6x8lk0nAO3QMGIPgA8QqOgykcKjO9upagq14FrAP+JACQVOByueByuYQq7HA4\nkEwmJdqz2+2IRqOGdcFIgsKognlxpvx04xAKhTAzM4NisQiXy4W+vj6MjY0hlUrB4XDgmmuukVQM\nsOogTE9PA2jhefF4XNYMDd7k5KQwdLq6umTcVqsVwWAQc3NzYsT0OheOW6m1rcZTqZQ4Ow6HA5OT\nk8jn83C5XNi2bRsmJydl7bGXGOeb/xNMDgaDSCaTOHPmDIrFIvx+P/r7+3Hs2DEsLy/D6/Viy5Yt\nyGQywowbGBjAs88+i1OnTgEAbrjhBjgcDjz77LMAWrTUXbt24ZFHHkGlUsHAwACGhobw+OOPI5/P\nw+/3453vfCemp6dl3Fu2bMHExIQ8y8PDwxLJ8p56vV65hyQVXK2yIRysj3/84/j4xz++Ead+1aKn\nH4BVhU0h8EgOOlNJLJAiQ4tebLPZRDqdNtD2crkchoaGZFH6/X5pb6DXCug50kgkIqkju92O7u5u\nHDt2TLzcXC5nANeYq9d56gAkv+3xeOD1esWz8ng8SCaTqFar8tAPDw+jUCjIfIRCIUMahRRdjrvR\naMDlcgljhlRMNvBjhKFX2tZqNdmoB4CBFkklS0IAsRum+fRiOT3nTjCcnqvH45GKWl4H6Yw8BqMc\n0jT1vlT8jn7t+XxecuTAamM4nRDA6mY9qmJasF6vY2xsDNlsViixs7Oz6Ovrk/OGw2Gk02m5p6SU\nEoBuNBpIp9OyTpiC4nXwPvf29kpKZ3Bw0NDIMBAIGCrdy+WytPjgel9aWjJQP0kX5drLZDKGJnjB\nYBCZTEbuO9CqDyLeRAeCc83eWHpRZ6FQQCqVkgzD5OSkAcBfXFzE97//fYk4SPXmcZxOpxgJHY9j\nmpbXxnsLrDYh5BjbGYRXm1ydBN1LKHq7A/09nW2ks1L0lsbMgXMxAqvNvfSqVS5AgpdMUbA+gN9l\n2E1Pfnh4WMbCh4/KlgubBoceIsFgsohI62SqprOzU7zOer2O/v5+9Pf3y3WTGaUDkawoZVuPbDaL\nWq2GcDgsSpYPFz1TKhMAUmikVwkT9GVqjalHKiR65qymzefz8vBzYx6eg/UDekU0PVwAQs3kfWa6\ngl45sJqqoKLQPWwqMxa28RztqVKupVKphFAoJHsUEOClYeW6oKHkuuBckEHE+QZWm83x+ATpA4GA\nUMnpCITDYal+5jXphY/s1ks2XqPRQCqVwsrKCgKBgIyJezDQGJEiSvo6oz3iA3wmCDgzKiIriTUc\nrJ8hSYJzqztqyWRSqMd8DvXaDR3EZvHa8vIyuru7JRqs1WoIBoOyjrlOeUySB5heulp3gKOYxuEi\nhcwIGgd6vvS8qcx0cJNNwviQx+PxNdWferfNcDgsuVFgtTeQDoT5fD7hgRNM1lkkpA7yvWg0iuPH\nj8u48vm8FBEBLWUbi8UE0CODaXx8XIxZT0+PYS5sNptsvAOsNqzT8+7pdFq80nQ6ja1btxoA0vYK\naZ/Ph8XFRcMxCoWCYS4ymYwA/tlsFj09PTL/2WwWbrcbp06dEubQ4OCgcP15D9uxEb1immkXzsXK\nygpGRkYES2IKiHRN3rOJiQmZb7Kw9H02mPrjGEqlEqampqCUwuLiInp6egznGBwcxLFjx+Ta4/G4\nYS7IBGNun61H9LVnsVgwPz9vaHSoV+NbrVakUik5Jg0S02OFQgGRSMSw9oAW67DRaGBhYQF79+4V\nvMtut6O/vx9PP/20RFJOp1NotjwGU688Z3d3N+bm5qQX065du/DSSy+J4u7q6sLx48dlfrdu3YqX\nXnrJMJ/Dw8MGYsL+/fvxwx/+UNbzrl278Oijj0rUet111+H06dOCoZHaTcwhGo1idnZW1lqj0cDA\nwIBcR61WE0fpahSzZfdFClkYOtBImiM9Kz589PJZRckHlJ1b9R46pIzSq2UaBlhtN8AcMvvOAxCv\nPhAIGJgTtVprM3ses9lsYmxszKAQo9Go9GPq6uoSr4o0PVbs8hyhUAjJZFLOQbBar2ZuB4+PHDki\nzc6cztb2mjrlkmG/fkzSY3WQUJ8LMlD4Wx2DACDMMBoHKhem5njtOrDb3u55eXnZEP11d3dLdMXI\nggaHdNlMJiPpKIfDgS1bthjGzS64XCfHjx+XlA2vgS0bdIJAOp2WYsr2dcEoq1arGeptCB4vLS1J\nIztSOTkOPUrl3PC1fg6fzyc0TqfTiampKWmTQiC+p6dHopF6vY75+XmJHBgl6h1qaZwZUXIvBkZk\nvHeM/ki0YNo0l8thZmYGMzMzAFoO1pYtWyQyHhoakrRmoVAQxtTy8jIymQw6OjokkuIxg8EgBgYG\nkEqlJP1E5wtoOS4+n0+iO6YjTUDaFACrrZn1nDZDaL2wamlpSULPvr4+UZB6ewa9VfDU1BQymYx4\nXsybE9SmAuKCp4dNZdPV1WUATGOxmCivZrO1eQ2VLmsFnE6nePErKysIhUIS0bhcLni9XkxOTkqI\nH4lEcPr0aaysrMBut2NwcBCZTEZqLgjOcd9eKtZMJiMGh+3KmYYJBAI4efKkKJLNmzfj9OnTkhYb\nHh5GJpMRkJtK/tSpU6jX64hEIti+fbt0g2W9RaFQEGUfDAYxMzMjintwcFAq03lPy+Uy5ubm0Gw2\nEY1G4XA45Bw+nw99fX2GWg673Y6f/OQnyGQycDqd2L59u1SgW61WdHV1Cd6klJKIUy+YIj2Winv3\n7t0GfICEAM53b28vxsfHMT4+DqfTicHBQfT09GByclLmwm634wc/+AGq1SpisRj27t2LbDYrx+zo\n6MCpU6ekNmVkZAQTExOYmJiAw+HAyMgIms0mpqamUKvV0NfXh2QyiRdffFGiye7ubpw8eVLWxS23\n3ILFxUU5Zk9PD1588UXMzc3B4XBg9+7dcDqdEinE43EDxZZG+LnnnhMjt3fvXpw4cUIM5bZt2/D8\n88/LXGzduhWLi4uYn5+XHl21Wg2zs7MS/QwMDODHP/4xqtUqxsfHsWfPHjz99NMolUpYWFjA/v37\ncfjwYXGgrr/+eszPz2NpaUmeQ9K9SSRxuVzyjAQCAROQNmVVyDhijp3UNr3whznj9vy6XqBEz45A\nJkNyVl13d3cbAFEWXulMF6YYfD6fVHvSG1xeXpZohVRLAo8Oh0M8K+ZP2bNHb73Mh51pmLm5OVG4\n9Xodo6OjwjQiTVbvh1QqlRAIBISqGI1GEY/HBXhlgzYAsq0kPXjSSRkx6VW/uvdLxUDsxufzobu7\nW9hfXq8XnZ2dsm8Cc/fc/IXnIs7CvDfppARaWfxGIauI8720tIRQKCTkg1AoJPeO96VdmAYCIN65\nXmlMA0uwdGlpSQxxs9kUFhOPn8/nMTY2JkZyeXkZy8vLCIfDomSDwaBgKFarVVpnEKRmPQDxCCpc\nYBV/SKfTgu2wzQX7W9lsNjFWpDbncjn09/fL2vd4PPD5fFJkSJaW3++XiLFer8ueDtz1jWk6Rifx\neFzIEX19fYZq9maziRMnThiwrfn5eVkrejcBMrC45ngtLEIkJkVqMK+TEb9ZIW2KiF41CaymmoBV\njjw7aLLNL9sicOHqlbGVSkWUB6uOa7Wa5JJ7e3slZQNADA1ZJXr1MLDapbV9N7NYLIZYLCav8/k8\nuru75TUjBo6X0QQfSKDFVllZWRHAnA8bf6/3mWJfHha6MZ3Epm02W6uXU6VSQS6Xg9/vl4eVohsr\nXhsBX7ZYUEpJewV69olEQjxpKjwehykLRnoEtQn06q2iCQLz+ogHkIbM62CPMM4TUzOci3A4LOAw\n7yHQMgocNw0TlbX+mtfOqA9opQ4ZgXLcXD/ValVqJvr7+w11DmwMyTVJqinQMvq8p0yJkpFUrVbF\new6Hw0J3Zvpyfn4ewWAQkUhEnA7OBVOKvHZGTZyDcrmMUCgEn88Hl8uFfD4v94jkCxovRmHsXwVA\nUqTEntixoFgsYnl5WVqG+P1+QwcAguME6Ts6OgTH6OrqwsrKivQfIz2Z60R/tq5GMY3DRQrTMXrx\n2NzcnOTZa7UaAoGAobdPs9najISLVd8JjuwecryBllI9efKkAGGFQgF79uwxVMaSwcEHh/x15q+j\n0aihfTYNiz5uVugCkJz2/Py8pHzi8ThOnDghqSmCgowootGoKEqglfddXFw0AHZ6MRSxDUY5nB9W\n1+ZyuTVtkqPRqLBlOG69MRzBTe5gVywWDflt/qYdnNfbVler1TVAOnP9vH9kuwAtBdrd3S2AKdDK\ncesNA71eL+bm5uSescqd818ulw29kYrFohAVaGCj0aihkpuN32hwYrGYNHUEWo5FX18f5ufn5Ty9\nvb1CE2XxFzEKdlidnp6WdRCNRjE3NydpPOb6T5w4AQDIZDK4/fbbcfjwYZnTaDSK559/Hs1mE7Oz\ns7j22mtlh0Cgpajn5+dlPq1WK44dOybg8eTkJG644QZMT08LDrFp0yY89thjMs7Ozk4cOXIEKysr\nmJmZQTAYxOTkpKwth8OBmZkZwaMymQyGh4eljqdcLqOzsxNHjx4VIP2WW27BsWPHpDdZX18fnn32\nWUOFtI5rrKys4P3vf78YC7vdvmbv66tJTED6FQpTMHa7XZQbPW/2ZSHNlEqcXieBsFKpJM3FWPrP\nrQjZWROAFLExvNYBRT48BLqZB2baq1QqScqmvW0ysNqCQVcaHDcL7AgKEjDMZrPi8SaTSSm+s9vt\nkvMFViMcVun6/X6Ew2EBGB0OByYmJjA1NSXncLlcGBwcRDqdliiCnjkAKf5j3/1IJAKPx2PolcT2\ny3qEQP692+2WDXP0lADrHsrlMsLhsGAt1WoVoVAI4XBYuqDyt/V6HZOTk7LzHyupOf/EXoDVpoN0\nLMjgqdfrEimw+FCPTgCI58uaBL3SmGBzoVBAZ2enVECnUin09/fD5XJJzy3y8tkymwB7JpPB5OQk\nQqEQXC4XisWiGKBAICAOAdtFdHd3o6urC6lUSgo4l5aWhNrKDqenTp1CNBqVtaKTOH784x8baLyb\nN29GPB7H+Pg4tm7ditOnTwvDidfJWg8Wmvb19eHkyZOIx+Ow2Ww4ffo06vU6UqkUhoaGpPlhLpfD\nyMiIRAqLi4uIxWJwuVyIxWKYmppCZ2enYHOLi4uyVS/XANfzbbfdho6ODlkn7e3irya5Oq/qEkux\nWJR8M4Ewvf8/eynpGAEVBV9TwZHaeuzYMczOzsLhcGDHjh0ol8tSwERmDUFCv9+PkZERw5acXq9X\nulDmcjn09PQYztHZ2Sl5VKaBiJkAqywhfZzMyzabrW6nfr8fU1NT8trn80nVKiMg9kEizZL7ATQa\nDem1NDMzIzl+7gLG5mxDQ0NybgK4+piZV2bagQaCnXAJFOosoEAgIJEZ89Ozs7OYmZmB3W5HMpkU\nxgzHSRYQlbndbkc2mxWcQwfS8/k8rrnmGkxMTGBxcRF2ux2bNm3CwsKCVAEnk0n09fVhfHxcUoJ9\nfX1Ip9NSGxAOh6WanDl3Ar82mw3d3d1YWVmRKmGmiUZHR6UBX3d3t6ToqKz1Cun+/n5MT0+jWCwi\nm82it7cXp06dwtzcnBQ2FotFoZUmEgl4PB7Mzs6Kx71r1y785Cc/ETwimUwK84rA7ksvvYSpqSlM\nTk5iz549SKfTGBsbA9CKsprNJl544QXU63X09PRgaGgI3/zmN1GpVHDixAnceOONeOGFF4Rt1N/f\nj8cee0wM5Q033ICDBw9ibGwMbrcbO3fuxNzcHI4dO4ZqtYp0Oo29e/fimWeeQb1eRz6fx/79+3Ho\n0CGUy2WkUins378fR48eFabZ9ddfjx//+MeYmpqCy+XCG97wBqRSKYk+BgYGpFVNo9HaenRkZORy\nq5/LJqZxuEjRm8A1m62W0fouYlRqzEcTdKQXws+ZUrJaraK4mNuenZ019HRhX3+9s6leOcx8qg5y\nUyEzL8oWAYBxH2z9unTsA4ABuGV0Eg6HJa3EHjg8R7lcNlQF828C0kyB6PgKmVVUaH19fXA4HJJG\nCgaDhmKnUCgkqSWeg3li5s/1nkLED4DVRmqLi4vCUAEgDBiglUculUqSzyZWQlCYEdnS0pKAk7yH\neiQyMzODQqEgGAjrJrg2dCNDj7azs1OIAKQOE9gGWlET54zzl8vlhAZLjItVv4w0SRqwWCyGmgjO\nBRvh8Zh6471wOIx4PC707Xg8LlXYLFArl8uIRCIAIA4B7zcAiZCYgmGERIA/HA5jfHxcxkmyAxsV\nEryORqMCMKdSKRSLRTlHqVSCz+eDx+MxVECz2zD3Aens7EQ6nUYkEoHX60VPTw8WFhbg9XqFxEFs\nZGlpCT6fT9rQd3R0YHp6WmqZqAtMKqspIjQKrKIEVpugtYPD/J8LlwC0DrJSqMyt1taGNPSw9H1u\nqZCosEkFpNdMlo3OlFlP+D6NBMFMpoFY9av/A1oKSm+ZTXYS0DIwHo9HlBNBWT5cBOG5sREput3d\n3RKik/5L0J9KWaeQEihlVS+BWxoHRlJUHCsrK8Ik44OtV/IylUbqL4FsAudku3D3OI6P80IAn+k7\nzi+/w2tn/p7pLgBSnaxXgOtKkvuDcF0opaRlBo2gvg6q1aqkv+g0rKysiGPi8XiQy+UkbReJRAxr\nlbgEd8ZzuVxC1aXBIYmAQC4dFbLiuBMf6zN6e3sl3QO0lCwr1/lb5v1LpZKsF0ZtBL11tpJ+f1gz\nVK/XpReX3++X+8+5KZfLyOVyyGazcv8ZcXH+mZLk/4FAQMbDPVLoZK3HQLuaxDQOFyl2ux0HH3oI\nj3/lK3BUq1BeL67/X/8LW66/HgCEJ8/Oo6yU1TeC8Xq9WFlZEeWUTCZx8uRJAcK6uroELwBa+XBW\nK3MMbAhGZctWwkyLRKNRoW8CkNYVTCPRo9YreAHIuMkqYpqDdFriEjRgVCgAJJVBr7/ZbCIej4uX\nTeXBuodisYhNmzYJb7xSqchuXXp7Ej3/DrT65lDRsOhrfn5e2lds2bJF2D4WiwWhUAhjY2PSfbOz\ns1MK1jg37BlFSSQScs9oMAnW856xgJD5b313uWQyiUOHDhl2Ddu+fTtOnz4t809vlWCx0+nE+Pi4\nXEcikcD8/LxEqn6/H5OTk7JOqKxZP0BlxpQm7yN5+isrK1K7woiPmytx3B0dHSgWiwJy22w2bN26\nVdJhbEXB1+l0Grt27cKLL74o54rFYjh16pRcezwex8zMjIyTTClWzheLRezevRtzc3MC0vf19eGl\nl14SnOFnfuZnMDMzIxHfddddZ2jQuGnTJlgsFjz33HMAIJHM7OysGP9gMIjDhw/LMSORCObm5lCp\nVGQ/C73jbzKZRDablcI6j8eDnp4eaXTIZ/lqFROQvkh57L//G//zm7+Je19e6ADwiVgMN9x9N/a9\n612wxeOwvezd0iOkp6NTQtkplCmSpaUlyT8HAoE1rYKJA5TLZQQCAcm56314CPoxlRUKhYRyyd5B\n+jG5SQywmk4hDZLpAgLt9OC5rSTTCkwt8Zj61qRMjdBrd7lc8kDTywdaDx3HzbGQigmsUh15DjJS\nOE7WiDAN1tXVJVuWslYinU4b6jhsNpuBAcVr5bjpZReLRfh8PszPz6NSqRiq3NkWhZWziURCePcu\nlwtHjhwxpMOYNiIIW6/XDdTmhYUF2XCJ10V2kt5WXK/YZcoHgPRN4rWx+G95eVlSMPSa8/m8zH80\nGhVjS+BdL1ijE8A0zaFDh5DJZAyMqnq9jqWlJdnYiUB1JBIRnIysH+6FYbG0tqnt6+sTXGlpaQl9\nfX1inAh6Ay2DPTU1hUgkIu0yjhw5AgDYvHkzXC6XsKp27tyJBx54QDb34ZagQAvgZy+owcFBzM/P\nCzV3586dOHLkCDo7O6XdPLczTSaTuO666ySNzMaUV2uPJTNyuEh55ItfNBgGAPjc4iI+9dnP4r2f\n/SyaTiea3d2oxWKodXWh2dMD5/AwFpxOVGIxWJJJ9Fx3HU687Mk6HA4MDg5iZWVFvFA+jFx0bJlA\nwJSpA3b5ZIjN7TLJbmJ/JqvVilAohImJCfF6ent7EYlEpIKXqQl6hC6XCwMDA9J1lumhI0eOCPC4\nbds2pNNppNNpaTFRKpWEsuj3+yXnq3vHJ06ckBTc5s2bZV8Jm82G/v5+TE5OSv63v78f2WzWoFga\njYYB2O3u7jYUXg0MDAjITdIAx8DcN88HrObfadRYuPWjH/1ImhHu3LnTMN/9/f14/vnnZS727duH\nubk55HI52Gw2QyU4AHEMuLVlvV5HLBYTLIlR1Y9//GMDsDs+Pm5ouz43N2fYv7y7u1uMBqM6VkgH\ng0Hs3r1boia2/X7++efl+rdu3YrJyUksLCyI0Zufn8fzzz8PoAXCXn/99Th69KhUWEciERw6dAjN\nZmvf7U2bNuHpp58WGurAwACOHz+OVCqFqakp7Nq1CydPnhRwvlAoIBgM4qmnnkKtVsPc3BxuvPFG\nGffU1BTe9KY34YEHHpBOqu973/ukIp3z/eyzz2J8fFxwFhogpkp9Ph9GR0eFEdbT04PHHntMUpdv\nfetb8dxzz6FQKMDhcODAgQP4+te/jtnZWTidTrzpTW+C3++XaK9areLnf/7nDR0A9G1xrzYxjcNF\nilVrra0Ly2Gs1Sqs4+Owj49D33p8QPtbWa3YHo2iGouhGo+jkUigr7cXy4EAGokEAtu2ITw0hLzW\n0EODi+sAACAASURBVG52dlZy/azQZC6WRkQHw+l50+PP5/NiGABgenoawWDQUIy3vLws3yfwzS09\nmb8GVvPik5OTUpEKtLjluifl9XoNBX+McFgHwjYiHDfBWAKsHBO71gKQbp6srmUXUeavfT6fgNvA\nKj7EPbJtNpsYLB10dbvdSKVSqNfr6OzsxI9+9CMZc7FYlBoMsn7IIOI4x8bGpDEhWT1dXV0y311d\nXRK58B5arVahF7OVCUFnl8uFpaUlqSJnao3RIMfNXlxkeB06dMgw1+Pj4wISM9rr6ekRzIGFiUz1\nuN1unD59Wu5hqVTC8ePHZc2xBUsymRQPvK+vD8ViUVIz27Ztk4aMjAb1brIul0uYVIwquBc7d048\nefKk9DHyer1CN6VToTPqAMi+7PreHNu3b5emgvF4HF1dXUgmkwbKbSKRQCqVgtvtxtTUlESjVqsV\np06dwvXXX28ojqTh1rGoq1VM43CRUtcavBne9/mgbDZYXs6znksszSaci4twLi4CR4/K+11t3/NH\nImj29MDW14dIJAJbMIhKZyccg4OwjYzAGgzC6lk1QVQABMqe+O538YP/83/gqFZRczox8gu/INgI\nAV16oQzdWbzHVJDuGfFBY0dX1nAwJxuLxYSZBEAeHG4gxDbhzAcDEMyDLUj4N89BthILj3p6eqTZ\nG3sWMarhA8vr0NtrAKuV7YwgiDnQ82aaSR+/nt7UW0hz86Dl5WUZJ/cYAFr7IugANQ223goEgNSF\nkCHDc5ORps8RQWkqRNZwMO/OzZdYE0DDzhQKx8K+WTp4TrYWt55l9Mf32XY9FApJA0AAAuhTcdOo\n+P1+Sf+wRobGks5BLBYTyi6jSrKRGOkwLUtCBsdbLpexuLgo9FiC8Dpdlj2y2J+MrCp21eXckulH\n0XdPpEEFVndL5Pa7V2vbDMplNw7Hjx/HL//yL8vr0dFRfPazn8WHP/zhyz2UVyS3fuQj+P+OH8df\nv5yHBIA/HBrCjX/2Z1h629tgL5dRHRtD/tgx2Obm4Flagi+TQen0abgWFuBaWoLz5QfvfGJNp2FN\np4HDh+ED0F6L2Qmg4fWiFo/D2tcHbzCIcjSKeiKBo/U6Hv/61/E3L2+jCAAfGxtD8Td+A9vf+EbE\nYjHMz88LaFgsFmUva4LD11xzjeA/FotFWjcT2E0kEpJKASDgJpUsFQdB10KhgKGhIdlJi1XWhw4d\nEu+4q6sLJ0+eRC6Xk3TZzMyMGCAA6OvrE9DQ5XKhs7MT09PTApj6/X5p6sbIimkmtlvnLnoABHBm\nLj+bzaKjowMTExOS949EIpidnZXveTwezM/PSyqQLad1AFoHetkIjzgP00DT09NQSiGVSqGrq0tq\nW+x2O0ZGRnDixAkBj8nW4TkI3jM/XyqV4PV6paVGo9HA2972Nrzwwguo1Wqo1+vo6+sTbr/NZhMa\ncTsgrYOwPp9PqLqMzri/89zcHLxeL8bHx4WowLYTvIdDQ0PSCwxo4RjRaNSwE1wikcDp06dFWe/Y\nsQPPP/+8RJi7du3CxMSEANKJRAJHjx6Va3e73YjFYhIdszkm00qZTAb9/f0yzmw2i2AwiKNHj0pE\nx+p9FgByHXEumJ4k4M+9r69W2VBAutlsore3F0899RT6+vpWB3UFA9L1eh0P/+d/4uCXvwxHtYqm\nx4O3/M7v4Ka3v92w61S9vrprFNMyuVyuBdDW6/Bms6iMjsKdSsE+Pw/73BwwNQXb3Bxss7Owzs/D\nojF2LlbuAfBn67z/hz09+KP//b9hGR7GtMuFcnc3Gj6fpDkIBpNXrvPCZ2dnxaAw7WS32+W10+mU\nPkqkQRI459yw4Iz1IalUCktLS0InZJUyaw/0cwAtRbJ582bU63XBHJj/zWazUunKpnJ8oElbJIjP\n4j42l9PbbZDrTpCelccWi0VSEgS49Z3V9PbPLL4j+4tKlrRbr9eL0dFRSY+woj4cDgtASsCaCpGG\nMJ1OG1JpPCYNEhVcLBaTbrrz8/Po6urC7OyssJGYggkEAvLaarVicnJS6K/xeFyYX2x/wmJMNlZs\nNBro6OjA1NSURAednZ1YWFgQYL+zs1OKya655hqsrKwgk8lgeXkZIyMjOHPmjOBVfX19WFhYgM1m\nw+HDh7Fz504UCgVh7JFKmkqlJJVF8gPvM3EoRomJREL2Wz9x4gQ2b96MmZkZWK1WzM3NIRwOS+Hb\ns88+K+myWCwmLMGBgQFs3rxZIjSPx4Ourq6rFnfY0LTSI488gk2bNhkMw5UuVqsVe266CZv37QPQ\nCmeDwaAhH89NdAheRqNRnDx5Eo1Ga6OarVu3It1sorFrF/Iv90GqYTUNY7fbkU2nUZ+Zgf3l6MM2\nN4fq6Cgc8/Nwp9Nwp1KwzszApik1Xc52Y90zMwj96Z8CAIIvv1cLBlHp7YUaGECmowOlRALV3l5Y\nf/Zn8f+eeQaVl9M3e/fulT2lrVYrBgYGMDo6KqmU4eFhiRbw8vVwxy2mgOx2O+bn54XKSqYQPfqO\njg48/fTTAjyybTIjBTJt2LIkHA5jYGAAR44cQb1ex9zcHLZt2yYVvblcTqqyWWfAgiimcNgVlGyW\naDSKWCwmEQ7pmazoZQU0q3WVUojFYrIVJave0+m0sH4ikQiGh4cxNjaGRqOBUCgk3jPXSXd3t2w+\nk8/nsXnzZoyNjYkHfs011+DMmTNyzGQyic7OTtnMhwQAXvvs7Cx2796NQ4cOydxs374d3/nOd1Cp\nVGC327Fz505pF897CECiP7LIjh8/Lh74yMiIsISy2SwGBwfx7LPPolgsYnp6Gvv27ZOd4riXwhNP\nPCEpn5WVFSQSCYyNjUk00t3djRMnTqDZbGJ0dBQDAwN44IEHhB574MABPPzww5JuvPbaazE5OYm5\nlyNjbsZEA8Q2JocOHUKj0cDx48dx22234dvf/rYQGm6++WY8/PDDEkUdOHAA3/72tzE/Py+tXzKZ\njOxTvby8jD179khEGQqFMDCgo4lXl2yocfj3f/93fOADH9jIIVy0tANROsBI71jvZ8Pujx6PR1Ic\n+Xxeevnw936/XwrruN1izukEBgfhermoLP3yQx8KhVr1Auk0muk0/Nks/LkcmpOTsE5Pw7m4iMqj\njwIvP/C6rLfjrWN5GY7lZeCllxBo++wtVivK0SiKiQSqyST2JJPIdHSg0d8PdzCI0MuGkRgEe+4A\nEG+MTKJoNCp0WWB11zHuPcFmgATamXMeGhoSTrzecoJe/8mTJyUfD7Ty+Jx/u90u7BgC0m63G93d\n3TLO7u5u6SdEQFRvjUK6rk4AcLlcGB4eRiqVQiAQQG9vLzweD2ZmZmQzoVwuJxEJ6cdcO9yekx5t\nR0cHAoEAIpEIVlZWZC6i0WjrHr1MR6aHzPdY21Cr1RCLxeQ3pVJJGgx6vV4xBtPT01J5zE61ZK3x\neLt375a5HBoawuLiooDFwWAQnZ2d2Lx5s7SWd7vdkhLz+XwIBAJSjMhjsiEl0DI85XJZcA+u997e\nXuTzeXR2dqJUKiGZTEoPKNJi9e1Qh4aGZJ1yi1zuX83tPzkXjGQYBYZCITH62WwWgUAAuVxO+p6R\nZtvb2yvb3pJyzS1mXS6XtFq5GmXDjEO1WsU3v/lNfO5zn1v388985jPy94EDB3DgwIHLM7DXSPgA\nA6tbcpIFBEA2hvF4PLLRPFkRNDI6cFsqlQwPR71eh8PpRL2zE42eHpRfBpgJJt/wwx/iE5/+ND73\nckgMAH8Yj+PAW9+KossF5/Q0MDYG28QELGeJPoAWeO5ZXIRncRF48UUAQFL7/BqnE8V4HMVEAmpw\nEI49e+AMhVBLJqH27AG6umS/CjaeW15eljoH7pWgbzCvs5cIIDMaYSU4C/6CwaBEH3rtRLsQNCa4\nSOATgNQ9RKNRYQqd7RjAKkgbCoUkNcPPWXFMY6WD4byPjD4ACLir05ZJKQVaCikcDsv3SWVunwt6\nsvqeBFTw2WxWmFDJZFLSavrOd6yoB1r5+x07dgCAbG5DVhrHxZRVR0cHSqUSSqWS9NgCIPUaTHkx\nvcNxFwoFvPTSSyiXy9iyZQui0Sjy+TwymYzsoUB6L8dJhbweEMz0XKVSMRR30hBzXKVSydCqhqAz\n55eOHRs46hs08R7S8JmA9CWShx9+GPv27TPsL6CLbhyuJGFHTnqE9AS58Fk5zJy23d7am5a7timl\nEI1GBUBlXlzPW5KOygXOfD67u7KgjWkPet+sSbBYLLj53e9Go9HAR++7D/ZKBRa/Hz/zoQ9h+5vf\njBRWC9SW83lgbg6u6Wk4pqZQfuklWMfH4Zyagm1iAtbZWVjOgf/YqlUEpqYQmJoCnnkG+K//MhiP\nWjCIka4uFLu6UO3thX3HDthDIdQSCRT7+uByufDt//gPHHngAbhqNcDnw6Zf+AUkt26VlsgnTpww\n7OMbj8dFybKZHNNKFosF0WgUy8vLUmdA75CG0+VyYWpqSiIYerEEHtkZl+Bxo9FAT0+PpKaYLiPf\nnbUkZDCRZmyxWIRJRIXCqnXSInnP2Pqa1N1qtSqUU+IYiUQC4+PjAh6ThkoQu9FoYPPmzdIGnNEE\nr5WdW8fHx1GpVKRNeKlUMuw7wbQoAPGkWUPhexmf0o/pcDikiy2xDrvdLjUfLIwjbpRIJKTRJGsj\nfD4fxsbGpJKbFdOVSgWlUgl79+7FxMSERJ6RSARPPfWUpJX8fj+4XzbQagPOPaGJTw0ODgoeWCqV\nsHv3bhw+fBjlchnFYhH79u3D4uKi0Fm3bdsmbVOAljPQ1dUlzy5xpKtVNgyQ/uVf/mXcdttt+OAH\nP7jmsysdkNb3AqDXp3c6ZbtopqDoKZMXnslkREmwhcGWLVtEsfNYOjuE7bJ5TCouesscB3PEZOow\namHTOTJKGJmwqys9Jzbg8/l8SKfTyC8tIf388+gpl+GcnoZvfh5qdBTWiQlYz5yBVWs5cbGiLBb8\nv1AI/7dYxL0ve8MA8PGBAez+xCfwhptvFkaP3rK7o6NDaJy8dr1FOvn7JAJwbrjLGACp6qVHydoH\neuArKyvijepttAlI8zVTRaTJ6n2Q2E8JaEUVqVRKWESsNLdarQJE01FYWVkxcPy5hSrQYpWRl8/u\nvkDLQ6bXy5bo9PqZt4/H4+KZs5UG0CqIJKnA7XZjy5YtQgVmEVgul5P9OfL5vNSJdHd348yZMygU\nClhYWEAwGITVahVjyurx3t5eAyD94IMPSuEndz2021tbyg4ODqJWq8mWpiMjI4JLHDlyRM5x8uRJ\nAaj1zYuq1Sp6e3ulGWOhUMD27dtlF8QzZ85gcHAQ5XJZ9iyJRqPo7e3FO97xDvzkJz9BKBRCT08P\nyuWygR67a9cuMQgOh+OqrpDeEONQKBQwMDCAsbExyUMaBnUFGweyYnTMge0tgNXduvTIwWq1Ynx8\nXBRKJBKR1tcWiwVdXV1S+Qu0opGZmRnhmkciEYPCYh6XrYNZWbywsCBMHbYBZ3FQMpmE3W4Xbn8g\nEEA8HpcUBRXZ3NycMI1CoZC0PLbb7di1a5dEScRJXnriCTRPn4Znbg6xQgHumRlYz5yBe3YWnvl5\nWDWlv56cjVX10WuuwZ3/9E/oTCbx9NNPG/Yw2LFjh4CyZOOQZsoqYH2XLhY4UXHH43HMzs4aeisB\nEC80FAohFosJsOt2u5FIJKSDKduTHz16VLz6zZs3iwcKtNIuNFCc31QqJWC82+1GNBrF448/Lh1M\n9+/fj7m5OaEO9/b2Ynp6Wgruenp6cOjQIfGOh4eHpREe0DKcw8PD0suKrVgeffRRuYfXX389jh8/\nLuD8pk2bJMUJtAzF4OCgGB22CDl27JgYi3g8joMHD4rx3bVrF37wgx9IgdiBAwfw+OOPC7B73XXX\noVarGXCjM2fO4JlnngHQIgBs374dTzzxhMzFu971LgMB4KabbsJjjz0mxXtvfOMb8dBDD0lEec01\n18Dj8Qh43NnZiXg8jieffFIM/r59+/DDH/5Qjrlv3z4899xzUlPxcz/3c0JOAIAbb7wRy8vLYhz6\n+vrw0Y9+VO6p1WpFOBy+ahvwbUhayefzCRj4ehOr1WpgJ3FLRT0FxGZ1QMsTb9/zmO0X6K3p2x0C\nkHQDhV04dY9UjxD0EJ4LdXFxUcBxoMUQ6e7uNhg1docFIM3rOI5KpYIzZ85IJTKvi1gKu1z6enuR\n8/tR2LMHjnBY2DMAEAmH0WO1Yv6JJ4CxMYTTaTROn4YaHYVrehquVAr2szgBwZMncd0734nSbbdh\n380344VIBLDZMDw8jFgsJkaKgG0wGBTlRcCY4y6Xy6IsuUd3Z2enGJyOjg7MzMxIDplRl9frNewt\nwZ467HdEppLV2tpIiGMBWkaLNQTAKgZFWi3ppexgy012CI7TAWAVO71ipni4FkdGRoRllUwmEQwG\nJb8fDAalgR+jErfbja1bt2JhYQFutxvJZBKZTOb/Z+9Ng+O8rjPhp/d9A3oD0NgBAtwlS5Ql2ZIo\ny5IcJVFZ4yxWOU7sTBzNF1fGjpJM1ZTHFSVflLgqS8WW8yWfJ+NkPJNv4ozKdmyNquJIkZTE1EaR\nkimSIkGAIHag9270vn0/ms/BfV8CBBctJIRTxZIaaNz3vvftvuee85znOeJMCcLzc8ODWiAQEDbz\nysoKAoGAsMXz+TxGRkYQj8eFPU7HyPScw+GQgyBTZL29vSiXyyL1Qol38jf6+/ulCdTCwoKsh9ls\nxtTUFHp7e+XzGwgE0NnZKekxgtmcB3tdq2vB7nCUJ0kkEvB6vRIZzM7OIhqNyuGBQDWZ/yrhdCva\nNkP6CsxsNms03JkzBiChOpVH2XlMlb6mYJ2ajqLeDtNK1WpVygkpf0BgT42qVPo+Uw9AexPi+1VJ\nbbUbl9rXgX/LPDDTEwRrOUapVJITuMfjkfQZwUqTySTAutVuB4JBhB56SK4xPT0teXZTvY7sr/86\ncPToBWvcAGDK5+H++7+H++//Hr2dnUjfdx9WH3wQjfNdvAgYqvLVvA+91DgbMhF4tlqtUoXCtBtP\n/bR8Pi+pPB4IuK5WqxWZTAbZbBZWq1U2f0aK6nMG1horMQXF9aSyK03FoRjpJZNJAbtJXOO1VLkU\npgyZY+drHki4NsQPaJVKBUtLS7Barejq6lq317XqKDOZjMy71Wohcr7ogM+f603nzG5qjEbIWo7F\nYiLdwXkCa1LYmUxGGix1d3cLTmI2myUNyO8bN25VMFC9V/b4zufzkpJlRRmlxfv6+rC4uChOjpVf\n6meIz1X9bG1V27pu7100YgrEFUggYi9k6tzwC8MogmAnNxO+Zv6VlRcEZvkeoA0oc8xqtSr9EABI\nCoKnTZLF2OqxUqlIGoHX5EmcktvUEmJUxBMdyxCJgbArHpVWuSlxXvxbVpJQjrzZbMLscuHu3/ot\n/EZXl2Y9f9vtxh06YpE1mUTkf/0vDD/8MIIf+hB8f/qngNLPWr0ugeBqtarp4Uyglw17Go2GnPwd\nDodEDCx/ZZ0+FUiz2az8nEKIq6urspYANHOoVCqyvixg4PrTIWQyGanSof5VLpfDysoKVlZWhIHO\nwwZlKhqNBrq6ujA3Nyd9u/n/uVwOq6urIoW+uroq+lDMoadSKcTjcUxNTWFiYkJeT05OotVqyeeZ\nuX8SBZvNJgYHB5HNZrG6uipVdMvLy8K05meXn6VIJCKfOQLuO3fuFEE8m80m3Q/5vRkYGMD8/DyS\nySRmZmakFJxtUFmiyjapRqMRx44dQy6XQzqdxvHjxwXM5984HA7hX2QyGSHAEUgnjsL15neP1Vgs\nV+chgf0/tqptS3a/DcYKCKB9msvn8yLFrIqsMQznPzoGALKZ8KSeTqc1vWt9Pp+GMcw2mEwBEKDk\n5kYNJPIFmN5SgXTqE7GEdHp6Wj74drtdumCpwnvsH8EOcQDklMmevOpaMD3BUzMjGc4rk8ng+R/8\nAC//9/8Oa62GmtWK/Z/8JMZvugn+iQkE//Ef0fnMMzCeP3XqrbJ3Lyr/7t+h8vGPo9zZKZs8nR0j\nrnq9Lh3WeCLk+nIDUDWKZmdnxYGoYoScNzkMlF13OBwYGxsTfIB8DXUtqDHFE+/k5KRU/DAyYRc2\nHiAIcrNk9qabbtKcjl966SV5pmoJa7FYlJ4eajFENptFq9USXgk5KkyxeTwe3HHHHZp0GKXi2VZ0\namoKyWRS+lRnMhmR22Z6z+FwYH5+Hp2dnSJPsri4CKDNK2H/haWlJQwODuLUqVMol8tYXFwUsiAj\nB7/fD6fTiYGBAZw7d05kLgwGg8hlWK1WvPLKK/IMOzo60Gy2e6ssLS1hZGQEZ8+eRbPZlLXgs+M8\nrVYrPvjBD2J2dlaA9Pvvv19kwHfs2IGxsTG43W6JUrcB6XfZrjfnsLCwILlOVsrwQ8qNYnp6WjYa\nfjEYovJEw02WDczV0J4lhxzTaDRqAOhYrF1Ays3XYrFosA/myVXQm60UOe9cLidaPzabTZqyc0wC\nftwAY7GYsIKBNrAYjUY1bHGbzSYlt1arVQO8A23H8tprr8naDA4OCggLtAHSvu5uGJ5/HrYnn4Tt\n6adhOL/WqrUMBqzefDOyDzwA56c/jTNKm9SBgQFMTU3J6a+npwcul+uCJkUEN51Op6SNgLXGPGfO\nnJExqVHE1M3Q0BC8Xq88987zjkotZeXpnq+tVitOnDghY+7cuRM/+tGPxKmxwQ3Xore3F2azWfAo\nNiTiRm6z2WAymURLyePxYHx8HC+//LIGhGXva6PRiNHRUZw6dUrGHBgYwO7duwWcZ5OoY8eOSTOm\nwcFBPPXUUzLmfffdd8E1Xn75ZZnXBz7wAczMzAg20tfXh/HxcRw7z5vx+Xzo6enBv/zLv4jzHR4e\nxve+9z15/dM//dMabaV9+/ZhcXFR5j04OIjnn39eQG+Px4OxsTGcPHkStVoNXq8XN9xwA5599llZ\n73379uH111+XCGHXrl0AIHjonj17ROuL13j00Uflc0K5/a2KO5geuwYJBb/7u797zfIc1jO1DwBL\nLUng4YmQeXoyXVmqyJQIJSSY8vD7/XJaZXqHv2ckAEDDqNZ/SEkIozImtX1IXuLGT5CbGjpsH8nm\nMczp8wRJYhDHZS46EAhIgxTWt9NB8WcEi+nAmI8mYYxaP9Tjj0QiCIbDaPT3o/ngg7D81m9hdXQU\ntVIJ5pkZGFglBsC2sADvCy/A/hd/Ac/p0zBZLGj296NUr2vUUS0Wi4acRoyHr+12O7q7u4UTwYIB\nVvi43W6pcSeGEQ6HZf3J7FYxETYdYpSmYk4WiwVdXV0aEqPH44Hdbkdvb6/0DaCuEsesVCrYu3cv\ngHZF1vDwMBYWFkRIjmWxlNv2eDxwu91SChoIBBAOhwUn8Pl8oibL5+V0OjExMaHBlRYWFuSzSRA+\nHA5L5R0/M61WSyq/CHS73W4MDAxISo8aUdygKaq3uroqn81gMAiLxSJYi8rSLpVKCIVCGBsbkzVx\nOp2488474XQ6RaJlYGBA+BaUKhkfHxeSZU9PD2644QaRUA8GgxgcHJRiBkb7fX198Pl8MJlMQuJU\nK+O2km0D0m+DqUxYmsqQZpqAxsiIp34AGqCZJ3X+DR0DNzj+jCkrlemqmh4417OuAWjGBKBRmVTB\nTc6TBDy+pogc389NhV8Ybryq/LXKkAYgqR5uomazWSTEuUGo91F78EE0f+qnUMlmYX3qKViefBK2\nH/1IyHqGWg2+556D77nn0HA6sfrRjyLzwAPALbfAcP46uVxOTp19fX3SqwBYk83uUrAQKp5yM6BT\nUddefUYkvKlNipiS47qzmxx7UvB36joSFCehjaQ7YE2mmgUA3NSZQlRF9Rh9ABAMhORKOkBgTZZa\nL6W+uLgo2JXf75dnyYNBKpUS1jWfHVOKVJJlhEmZc5aIdnd3S1+FXC4nhRwqO9nhcAhmxNw/ORwk\nQ9IZAO1onhI11Obq6upC6Hwxg9frhc1mw+joKCKRiMyVn1ViS8ViUaIRqhjoJem3qm3NeOhdNlXf\nXqXi04LBoIauHwqFBARWK5p4muIJh79ndQw3Ip5amFvnKVvFLy6F2u92uzXzVmu2WVVDMhSlk1lp\nQrE5YP0qDs6bUh8EpomFEPzjqVYdU9UfWo+Bynm3fD4Y/v2/R+Z//2+8/tRTOPuFL6BwPjVAMxWL\n8H3/++j/D/8B4/fcg67HH0doYgKpZFKA2rm5OVlvtSRZNZ4WKW1COWdKf1Dfn8/Q4/Fgfn5eAM7Z\n2VnBcwiA+v1+AZdbrRaGh4dlDiwyICCdz+exvLwMn88n+XamHwlws9SYm2ir1UI0GkWhUECxWJTi\niKWlJVFmZQk0CwyYCmTnPjru1dVV5PN55PN57NmzRxxWo9EQldpCoYBkMilpRYLFXCv1H8FkSmKr\n6rzxeBxDQ0NyX61WC0NDQ8hmsygWi+JcmFbKZrP48Y9/jB/96EdSfXTu3DlReS2Xy1hZWZFIijpa\ng4ODArxXq1UMDAzIWjMFWSqVBEinqjKjyHK5vGVTSsA25vC2mhoJ6I0VIFR75GapnrCZC1XLT2mM\nIrjhMtxVQW8V8KXx5HexD7E+gqmfT8OwMoljEndgqM4vCU9z3MxV0LtYLMr9UrhMnTeBdK4N14LE\nJGotqT2kAS17nBUnrEgxnz0Lz1NPwfm978F6/nSqt0p3N+L33IP0T/wEGjt3ShUV58nUCx2zugGT\nP0DJaafTKYApGdMAcPLkSU2/Z9bHs+kMe1WrzGiW3LpcLun9TE4FexyrIDcrZkgeo8NaXl4WsLha\nrYrsOntH8xmazWYMDAxgaWlJUllut1sz76NHjyIejyOfz2NgYEDek0wm0dnZiWQyKRVATIf29PTg\n7Nmz0oRJbW8aDAalyqxQKIhAYLPZxMLCArq7u0XAb3FxUVqhsm+Eeog5e/aslFwfPXpUnHVvb6/0\nvM5ms+jp6YHX6xVp8VgshkgkgsHBQRw7dkz6jJw7dw4TExPSKIg8DqAdqX384x+XElyuwzYgNaNX\nAQAAIABJREFU/S7a9eocNjKmArjJsqKJp2OmZXjPdBDqJstyWL5WpRkArJv7pAMBIDnwixnlOFQH\nw00CaG/M3MCY6uGJE4DkYNUqoHq9LppFFosFfr8fiURCrhGJRERzimtBITmg/YUsFAoyD5/PJ7pG\nvC8AmJmZEec6NDSEVCqFVrMJ+8mTiPzzP8Py5JMwKY2PVCsOD6P2sz+LxL33ot7TI2kWpii4bhMT\nEwK6kq3M9MzY2JjwDYB2UcFLL70kwG4wGJT+2EB7092/f7/0lCZze3p6WsNyP3z4sMxjx44d6Orq\nkrQSu5uRP8A0ypEjRyQi3bVrl4ZpvG/fPiwvL0v5J6UzuJ4klpHIyOjl0KFD8voTn/iEaFmZzWb0\n9/fjmWee0bCwT548KWPu2bMH//Zv/yb3PjQ0hF27dgmbmSqu6hgPP/wwjh49qhnzjTfekLLh2267\nDS+++KLc++DgII4cOSLVS36/H3fffTdefPFFucYHPvABAestFgseeughHD9+XA4it9xyC7797W/L\nvPft24fFiQnkXnkFjkYDTacTn/nDP8TOW26Rz/M2IP0u2/UGSG9magkpANkMAAg5iTlWliMyp83X\n3HSAtbaOfI9KPqLxNEmjtMRm81SdMk9O3LR5slaJcfw5QV7Og+Al8QreI9s+kizH0ks6TZUoSCep\n8ggqlYqQBbmW7CLHdA/LcA1GI+yDg8B99yH/y7+M8m23ARbLBUq0lnQa9n/7N3R861twv/QSbK0W\nKl1dwHmnzTJMNQpj+Wmr1ZL8NR0VsRpKkrtcLgSDQQ3wz2ZCXEe73S7pQrLwGQ2aze3mQ11dXaIs\ny2fDOTGPThkRlZhH4DwUCiESiaCnpwdmsxmhUAihUEjTFlP9LDFaWV5elnmrrT8tFovgC3yOzOnz\n80ZWNlOPbrcbkUgEt956qxDR2H+DhQldXV1wOByCf4XDYTgcDilm6OzsFLCcKbyRkRGJiLxeL/bt\n24fBwUFZu7GxMfn8GQwG0U0ifuLxeJBJp9HpdsNWqaDbZoMjk4HtX/8Vf5tK4efLZXwyn8d/O3wY\nlpERDOzYIfPZBqS3TYzpFH5J9ScHppC4iaugLKWi9biAHnBWpY6Z3mC0sdGHksQvgsZs2cmKGr01\nm+1+wyqorBq5F2oag4xTyklwE+QcWXGiXoOqoV6vV4BlVrPo2aasulIB73K5LNFHZ2en9Adg/l9l\n1tKxsFqHjqfaaKC8fz+yN94I5+OPo/L978P+3e8ieOiQpmGS/fBh2A8fRutLX0LlzjtReOgh1B94\nQKp0eOqMRCLSOwCApB8SiQRMJpNU7XAtOCfiKXTCy8vL4mgGBwdlsyfQu7i4iJmZGVgsFumyd/bs\nWdGQAiCd2Xp6eqSpD9ebaR2PxyPrNDMzg5WVFekFsbS0hDNnzsBms2HXrl2o1WqiBUZQfmJiQgTt\n2CAol8uho6MD/f39GsCZvR1WVlZgtVoFH6NZLBa8+s//jMP/83/CUq3iJbcbgdtuQzwel4ouajqx\nEY/FZEJ6bg6JmRm4jUZ09/WhvriI4MwMXAYDoskkOrNZDKdSMFerCOXz6Dh2DMNLSzBVKuh0OOC3\nWlE+/3t7qwWP0QhDsQhzrQZbowFbo6FRIP4vAL6m+0780ewsfvOv/xo33nnnlo0YaNvO4TJN3fiB\ntW5nqlF5k/+v3wBZbcGNYD3wmGkojsFNmQxNVqjQVNE3btgESuv1OnK5nKbiB4DIGQNt8NDr9Wo2\nXV6XYzJNpFYvqSf5crksbFqWKZKdSsFCl8slYDUdnQqsU8eIYJ/X68Xc3JzMk82OEomErL3L5dJ0\n3qPzUNebz6TVasHgcmHh5puRGRmBtVJB/+uvY+ill2B45hkYzj83Q6MB+3PPwf7cc2j9p/+EN/bt\nww8SCbRsNtQcDtz5uc+h87yyJ1NnBJtNJpMQBQGIQ2G+myAuWcOcG7ksBKnr9brwM8gAZt8Do9GI\nU6dOafgrFO1Te0aEQiGNU6NmFp/hyZMnsbS0JGzn2dlZ4WvU63XpusfP0sLCguAHBHKJwRTyeTSz\nWbTsdlimp9ERj8PVaiGWz6Mrm0XfzAzstRrSr72GqZMn8S1FruS3T5zAT1utuMVkghNA5wsvwFip\nwFKtwlqvw/IeMJE32hxN55/5euXjW8m2ncNlml7biK/Vk6++xI2boGrrNZThCZzpFJUhzY2Txg8n\noxE9jZ/MV56c18Nw9GknvaMjQU4dk+WTLJnkZkzAWi2tJYeDjFKyqlURwlqtpqlOYrUWHRlluLl+\nTMVQA4iVNtFoVKIspu1Y886mQFxfgs7cvFcHBtD40pdQmpmB5Xvfg+O73wV+9CO5738tl/HCK6/g\nCWUt/vN//I+4q7sbH/H70bLb0bJaAbsdTbMZLZsNTYsFdr8fsWYTTZsNdp8PJqcTHgA1kwnuYBBL\nmQz6Wi2s1uuw+3yoJJPwhUIot1qwer2YTyQQtNlQslhgOM9Q1xcXcNNnpPHyM8/g7P/5P7BUq5iz\n2+FsNPDRhx4SAbvp6WlYzGY0ikXYGw0UEwn0NpvoXF2FrVaDO5FAxOVCfyoFS7kMj8GAgelp3F8o\nwFKtwg3A/tJLcDSbMJVKsFarMJfLuP/8Rn4p9l8A/LHuZ39Ur+PL9To+xx+sQ3R8N6xuMqFqMqFq\nsaBQLgONC3snNs83I2I/jc2wvOvVtuZdvYOm32y52aikNG6KwFo6Qd2I18tRUmAMgGj4qxU6VJFU\nr6FWEq1Xesn0AoALohsAGixDFT5Tf6+KwrGChlGResLkvKmvxPs0m80CGjJfnE6nxalFo1HR7Fnv\nPtTqJN4HeyDwGoxQ6CxMJhMmJyfli9vX16dhh1NMjWO63e52WWQ+D9xzDxw/9VOIlEqo/Y//Ae8P\nfoAfTkzgcd3a/WGthi+fO4ePKZ321jPvFf4OAAYAfOj8/7cMBjQtFjQsFtSMRjQsFhhsNtQtFhQb\nDdTNZrxaqyGTTOK/Kmmy/3ziBE79yZ/gDpMJ5koF/ZUKDIUCTJdRoz96ye+8NNvwRL7J31XNZlTO\nb95GjwfpahXFVgsVkwkmrxdNux2JQgEVkwlwOuEIBnFmYQEVkwkthwPBvj68dvIk8o0GGjYbDtx1\nF14/fRrpahUNmw033HYbJs6eFYwraLPhkR/+EP/veYAaAH67txf9H/sYZmZm4HQ6ceDAgbdnUa5B\n265WugJjuSeAddU8mSrhZsXTLDdEvXMgUYfG96k195QzZhTCGnMaCVBqX2rWkpMdu56DYEXTRvLD\n3Ow5JnENsoeZ5uJrfQlusVgUx+d2u6WUl2M6HA45+TLFpkZZrVZLyiQBCADKCic6EzoYq9UqQnRq\nuSy1lPiazXeANtnt1KlTmrmrLVv/6qGH8IfnpR5Ue+z8v2vFNuqN8WUA//e7NIeKxYKq1YqKxYKC\nwYCq1YqWywW43cg3m6harfj/pqfxhCJJT/t0Zyd23HQTnMEgWg4HsrUasrUaTB4POnt60HW+vwV7\ngJ8+fVqqk3bs2IFqtSqkw1gshmAwiMnJSayurqKvrw8TExOYn5+XsumOjg5EIhEkk0lRZe3q6sLJ\nkyfhdDqxf/9+LE9O4tA3vwlbrQZrIICbPvUp3HDHHcKaHh4e1hBet5K9J5FDJpPBr/zKr+D48eMw\nGAz45je/iVtvvfW9mMoV2XpsZb0z05+AVdYwANnc1+MgEJBVr8FN7WKmyjIztaL2X1jPNhuThDWr\n1SrVOYyegDUGM43kKQCS1qI8OCMJFbNgFKA6HMqNGI1GkfzgfVHCgikvu90u/2jUjOK8fT6f5Me5\njmrFE50wnQXlMdgtbnUdsB4Asrt349gjj8BUq6HT7YYdQCWXg6FSgd1oRGp+HqVsFqZqFTaDAa1S\nCcV0GsZKBQ6jEQ6jEbV8HsZqFeZmE3YApnodhkoFxloNxmoVhmq1/foSTvqXcyJvmkxoOJ1oOBwo\nm82omM2o2Wwweb2oOxxYKRRQtVrhDIdhDgQQLxZRsVhg8HgQGhzE5PIycs0mTD4f7MEgfjw1hVyt\nBoPJhGg0ipmZGeRyOQHnvV4vTp06BQDwjI/j1/7xH/H/nC8yAID/q6MD6T17cMzng9/lwvDwMGZO\nnEC50YC9XMZQIIDp6WksLS1JIypKrwAQdVemdKnCS97HysqKkPHIK9mxYwdOnz4twHkkEsHs7CxS\nqRRSqRQ6OzsxMDaGkU9+EkC7BHffvn0aJeWtbO+Jc/jCF76ABx54AE8++aSoZV7PpqZneMK+mJEU\nppqaNmKOXm2NqR+TxCxV80Y1dSO+VMa03ijLDECTfmIKiE5Rlf3Q/5eRFU/13PwJHlMPh184au2r\na0XNIQBSvaL2f2bbTq4FCWwqJqIykRuNhoC2vE/qSgGQ/t0Eh8c//nH85twc/uT8KRUAHo3FMP7Z\nzyKxZw+sVitcsRhWlXna7XYk4nGNEmkqlRKhvUAggH379uGtt96SaqWDBw+KpLTD4UAkEsErr7zS\nBrlbLUT8fpgbDaQWFmCs1RDyeGBuNDB96hRMtRoS//APwOTkBc8xtXMn/vULX4DZ78fYTTfhXDKJ\nzPm+CKOjo3jxxRdFEHBsbAxvvfWWvA4Gg9izZw/eeustVKtVhEIhFDs7cfK8hLfb6cTuwUHU5+dR\nzOeljHRlZUVSkENDQ5ienpZDQ8/QEJyf+Qx+5sknYa/X0XQ6Eb7jDjjPS6Rzoz59+rToRNVqNSws\nLEjL1EQiIREnAGkmxNcul0ukt3kYiUajwuxmxV08HpfnPDs7C7vdLvNcXl6W4gigfagNhULyc7fb\nvW4ny61i73paKZvN4sYbb8TU1NSG77nW00pXa/xw0i4lKngvLJVKSa6eJbiUD2D0oEYkxD/0QDr/\nqSxsbuRkWKvpMNURMjXEL/16eA05ARyTshAE5clBIB/CaDQKwxqAbDJ8bbfbsbKyIuW2RqMRLzz1\nFE5897uwVCqo2+3Y//M/j5/42Z+VjnyMDDkG04fqvFl5xGtwvXK5HMLhMEKhEKLRqKxFPB7H2bNn\nNdiT2sHO7/cLSxoApt54A0d+//fxx+c3dqCdI//Q449jz223CTcBAObn59HR0SEyFExrGo1GnDhx\nQtNoKhaLyYGFJb1cX8qKkJ1NrovJZJJIzGq1IplMipppIBBAX1+fvI7FYjhx4oQwwjs6OuBwOOD3\n++XET6kNrqfBYMCuXbs0LVI9Ho/cRyQSwaFDh5BKpaT3NaPafD6PcDiMRCKBdDqNeDwOn8+HQCCA\n3bt3y7zZdlWVL7/33ntlDcn52Aak3yY7e/YsQqEQPvvZz+KNN97ATTfdhK9+9avr1tlvVSNgrTKi\nr0Wz2WwaNjOVXBlOU/eI92E2t1uJqlLj+raWJCpx0+U1VLBYDdmdTqc0KeKcyAzmmADkNdN0bHRD\naXGKtAHt/s6U2wAgaSduNFSD5enZYrHg7gcfRPA8D8FkMuHAgQPSnwFoS4szlcUx1Yoz9nwgY5pC\neocPH0atVsP8/Dw+9rGPIZvNivP1er1IJBJy7yMjI5ifn5fNq1AowOfzyTw93d0Yf/RRfOav/grW\nWg11mw0PPPooesbHEY/HkU6nEY1GcfjwYRlz//79mJubE2fQ09ODarUqDOlGo4Gbb74Z584D7zab\nDX6/XxjS2WwW+/fvx4kTJ+QZfPCDH8Srr74qshM33HADlpeX5d5Z/nry5EkA7e6DwWAQR44cAdA+\nod9zzz149dVXJTV44MABTd/v/fv3Y3p6WtZiZGQEzWZT5LUpE//666/L5+hDH/oQjh49Kv2sb7zx\nRhw6dAjlchlzc3O49dZbMTExIQ5mbGwM8Xhc5h2NRtFoNDA9PS2fk21A+m20w4cP47bbbsOhQ4dw\n4MABfPGLX4TX68Xv/d7vrU1qi0cOAEScbj2A+loxdlLj6ZinXc6bp3KmroxGoxDegDX5a0YOPGGx\nbFaVK+dp2el0isw5nQe7gwFrmyydFCUj1PwvO5Bx3gTrKRnBeyFYz5Mp0wsulwsdHR3SRYxid3Nz\nc8jn8wiFQnKSVtfGZrPJmGwWo57Ak8mkENa6urowNTWFeDyOSqUCl8uFgYEBDA0NyfpWKhVkMhks\nLy9Lm1B2pgMgRQpM21FqpFKpoFQqwePxIBAICH/FbDZL7xE6fJPJhJ6eHqTTaSnPbDQagg/EYjH0\n9fUhm82iVqshHA5jeXkZ586dQz6fF1FJCvk5HA44HA7hXVBh12az4a233gIAjI+PI5/PY2lpSbrb\nAZCILxKJSOOqZDIJj8eDvr4+RKNRvPrqq/B4PNi1axcmJiYwNzcnMha5XE4cdjQaxWuvvSYOpaur\nS3qWFAoFBINBaS6USCREG4sOwuFwYPfu3QJqA8Dw8LBEocTQhoaGNErGW8kuKXKgbO3Y2NhVXzAW\niyEWi4nH/Zmf+Rl85StfueB9qnzGwYMHcfDgwau+9ntpKj5AqYGLYRNqi0v2OVCNp1J1TL2xxJby\nCqrqqFrdRGxAHx4zZaRKXKgkOHIa9IxobohOp/MCVVW9hDexEZXlrEqgt1otUcAE1hRp9RVNJPQx\nzOc1KM5HHgAAyWFzDvwv8Q7yR0jeIwjOLnyVSgUdHR3SoY1rwYZBZImrwLnaYrJeryOTychrEiUN\nhnZnM3Zp6+3tFY0lPsPl5WU5LfOZTU1NSZ/lYDAoGznnR2VSi8UCt9uNkydPIpPJwG63Y3R0FMlk\nEouLizCZTBgdHZX0GwB51mpnQjanKhQKaDabGB8fx49//GOkUinZVOfn58WpsZcDo0OmiJaWluQ5\n9PX1yTNmv+fXXnsNmUwGTqcTO3fulEZUxJ3m5uZw9uxZTT9wOgdW0jFiNJvN2L17t/S7SKfTiMVi\nOHPmjDxjq9WKyclJYYvzM8iI0ufzIRaLIZPJyOfpSrC868U2pfd9//vfx4033oj7778fAHD06FE8\n+OCDV3zBaDSK3t5eab33zDPPYPfu3Re877HHHpN/17tjUNm564HR65mqtkmJC9X4ZeOYehIcc+jc\n/LgJ8dRerVbFYamORm9qBMccPH++XgUUx+P79NpJ+jGod8MNVs/i5mag9mLWR5Ust6Uj4bz4X5Lq\n6EQ7OjouwD84Pn/GKIJOQ+2qx82TpbvEjPic2F9YfYb5fB6pVErWuVwuo7e3V5wjq8G44ZZKJRQK\nBY0ESCAQEOY0N20ysymv4vF4NHMiRsQ1Y8UZPyOMdvg5omPhv2azKdFNs9lusbm4uChFBaVSCSsr\nK9KDmRLX/DzyefBzx8MMCWT8nSqrojprilZOT09jeXlZ1vfEiRMyJ6rQ8h7oSAOBgGiQkVyp6l8N\nDg6K1L3BYEBHR4dEM5QOZ89vtoRllKM2T9qqtmnk8Nhjj+Hll1/G3XffDQCbgsmXYk888QQ+9alP\noVqtYnh4GH/91399VeNd66bfzDZKmfGDzS8MTZW43mgM/ca+3u/14LF+g19vniqTmyfzi82bDVHU\nNJLFYtFIcuhP/ZTsXq/Si/fNea4XbfFalBqv1+tCdFO/+Pr7UO/FbDZr0gMk99XrdbhcLtRqNfh8\nPg2zOxAIyOZdr9dFQ0gFopnbZ3pNjWLK5TLGx8eRzWalvarVakU2m5WOZNFoVCIRg8EAn88nqUiS\nJYPBIOr1umgvjY+PS3VYuVyWk7vT6UQikcDw8LCkv2q1Gjo7O0Xug+XDvNdAICAlwGzQpMp/MyXX\n09ODTCYjKb/u7m54vV4Bp9moCIB0ShweHkatVkMwGES1WsWuXbtEGiYejyMcDss1eB9MXRUKBYkW\nGEFZLBb09/ejUqkgGo0iHo+jv79fNKFqtZroQFHy48CBA1heXpYKN2pRscDB7XZLIySK9O3cuVPA\neVVqfqvZps6BMsuqXa2eyP79+/Hqq69e1RjXk5nNZk2VxXoYgyqvzZOkWh67Hm9CHXO936vYDZv0\nqDIfTBNtNC9eg2OQfKcC6fp5qzwHYC39pc5TnTcAIawBuEAf32w2C+4BtJ0FT2+qsaKkXC5LvwDy\nSPTlhlxP3rvVaoXL5dIA6bVaTYDIbDbbrrufmZFNIRQKCXgMtDc8pm+ANfE54gP8OdnihUIBHo8H\nb7zxBoC2eN7NN9+MqakpWT+26GSk2d3djUwmI/dKWXFKYbNtKF/TIbz11luSVrrhhhtw5swZmc/e\nvXvx5ptvirDh0NAQlpeXhVyWzWYxNjYmXduSySRCoZDM2+Fw4Pbbb8ehQ4dk/W677TbMzc3JNXbs\n2IHZ2VkNGN9sNkWyO5PJ4CMf+YiAx7lcDp2dnXjppZfEad1zzz14+eWXJdV6++23ayqgent7RaSQ\nY6yurkqf6tnZWTzwwAM4dOgQqtWqtBJVx7z//vvx5ptvCiBNeXkS66rVKm6//XZJM5nN7X7kW9U2\nBaR/+Zd/Gffccw++8pWv4Dvf+Q6+9rWvoVar4S//8i/fuUltQUBaPf3rnSvTJaqpvIeNyly5cW+E\nX6jifmoOGVgj6ang8UZpInXe6pgALnAEal24Wq5J4+mUY6qCgZyXehhhfl4dU00LAe3NhSkISoPr\neQ7raVnp11cFj8+cOSMOhk1dOF9V+plroaaCAEi0oY5J8JgN72dmZsQx0kE5nU7pL8Drquvtdrul\nkoikrZWVFQDtSq+hoSGJnqiltLS0JF3dCBDH43EBV5eXl6WyyO12w2azaUBvHlSoUbWysoJUKiVk\nMpazZjIZWCwW9PT0SBMmCg5Wq1UN5yObzSIej6NcLot0OCM1t9uNeDwuVVQkJRqNRiQSCZFh2bdv\nn1Q87dy5E8ePH9ew3l9++WXE43GJjhh9cUw2kqJCrc/ng81mk+qvHTt2YP/+/eJw+vr6pG8Hoz+f\nz3dNlqG/HbZp5PD1r38dv//7vw+bzYaHH34Y999/P7785S+/G3PbUnYxAJp9EtR8KbA5e3mzKid9\nRKHiHXQYm9Vo6+etjqlPZfF9au9rAKIBxY1aHXM9dri6Fkw1ccz11pCbs8qfIAbBjTWRSCCTycBs\nNiMWi6FcLssJnF3ZVAeq9tPg5s0cPee1sLAg7SS7urokquLfJZNJKQHt7++H0+nUYBestCKBLxQK\nSYUUOSWZTEaIX5FIBGfPnpVyzb179wJYU/Clkz1y5AgqlQqCwaC0pAXWFG3Pnj2LbDYLm82GHTt2\nSOtWk8mEQCCApaUlOXGPjIxgbGxMJLw7OzvhcDik6VOj0UBvby/m5+eRy+VEyyqRSEgbWI/HI1Iu\nAITZzEIIVpGp8x4dHcXU1JQ4oFtvvVUqj1jtdfz4camqstvtKBQKsrEzwlteXpaKuBtuuAETExNy\nINmzZ48o1jabTXR3d2N2dhbxeBxWqxXFYlFTus2DECvOAoGApLa2ol00P1Sv1/GTP/mT+IM/+AMc\nPnwYhw8fxuOPP75lPeVWNoK1xBrU5kFXaiwLJQDKkyjxB57ULmaUviAgzfw4N/parSandqPRqOl7\nTdOD3nqHt7q6imQyKRHauXPnJCXUaDSQSqVkg+Xa8KTJyimejrnxs8kQ51g8zzjm71neSWNkw2cB\ntDkFbPoTCAQwODgoa0bQlg6Lc2PnuEajgfn5ebhcLllzm80mG2qtVkMikYDRaJReDh6PB6FQSO6V\nALLP55OcfSQSEWYzgdlisSgOuF6vC0mNvBW1VwifDaNagsTqnmG32zE0NCSRTCgUEvC30Wggm81K\nKkf9G/VzEAwGMTMzI8D57Oys5vdGo1GeIQ9Bo6Oj0hrVbrdj3759knKkg2ckzcMGsQjyTgi2U/OL\nqbStaBc9NvLUxt6w2/bOGE9Qm3Vqu9prqKm69QBpYO1LzY3wYukwYH08RBX4o0S3el39mGrFhypx\noTbIUQHl9eZJiQzKf6tpJNb1qykgi8WiSSuxogiA9Cju6uqSqEH/33K53O5Xff47wuY6XGO+jyA3\nIxByE1gls3PnTtk8K5UKwuGwpDxarRY6Ojpk4+b9qZLonC/QTistLi5K2TLxGgK9drsdi4uL6Ojo\nQD6flwIBitTx+bjOaxsB7fQmS3cJULdaLYyNjQmwWyqV0NPTg2AwKFEbiYXkmZCrALRTVX6/H+Pj\n48JBePnll4Xb4HA4kMvlMDw8rOmvPTY2hmAwKM/O7/dLNML14n0MDAzg9OnT2LlzpxAOU6kUbr/9\ndkmxpdNp3HTTTVhcXJTIcHBwUNPdrqOjA+Pj4wAgfBc+C/YN2aq2aVrJ5XJh7969uPfee6Vm3WAw\n4Gtf0/dI2rYrNUo6qMDu223ciPWAtGqqrIcqNc4N70paIrKyh2Oytp+vmWaikazGea4Xeaiy4MQ4\nmGs2mUzo7u6Wa7HCR2VI83TMU5/JZJJyTKDtTKLRqACT5FbMzs5KeiwUCqFQKMi99ff3Y2FhQVIP\noVAIDodDcvesuydekM/n0d/fL68tFgtisRgmJyc1jOjZ2Vl5PTAwgNnZWc29cl5AG3vZu3cvjh49\nKtfs6ekRPoHRaEQkEsGrr74qz4Bscd57NBqFxWKReyeH4LXXXgPQBtT37t0rr+12Oz784Q9jdnZW\nxty5cydee+01DSBNmQoAQu4juWxxcRE+n08Y0g6HAzfffDMOHz4s+MvOnTsFWAfWqiY5psViQTab\nFfZyLpeD3++XtNPS0hI+/elP44033pCqq5tvvhnPPvusfA4OHjyIt956S55ZJBLB6uqqANCsguP6\nl8vldcvwt4ptCkj/zd/8TfuNigqnwWDAL/3SL71zk9qCgPSlGPPs7yRj+mLXUCuPgAu5DEyXXK6p\np3y1Sx6wVpmlvrdcLmsiB73UeKlU0nw+0um05I1NJhP8fr80JaJDLBaLkrtnuSXz7A6HA/F4XMPk\ndjgcsqGbTCap/+eYJEmRsAZA2MlMkfX19Qm3IRqNYn5+XjqquVwuwTZY3su0SqFQ0GAzhUJBDgy5\nXA7nzp2D3W5HJBIR/kqr1W6tOTg4KOmi7u5uERAkOJ/L5VCpVJBIJETgjqKAalqPufliKffaAAAg\nAElEQVS9e/diamoKyWQS9Xodfr8fxWJRlHMphx6JRLCysiKyISsrK8hms5IeC4VCsqmSqMdUGz9T\nhUIBmUwGsVhMAG5GJ4zmstmslK4Wi0WcPn0aTqcTgUBAnjExicXFRWQyGYkcRkZG2r2iz2dCyuUy\nMpkMkskkXC6XMMqnp6fhcDgwMDCAHTt2aFrUms1mwT28Xq+wubeibXpE/cxnPoNKpSKktfHx8Xc0\n/fF+tquNGNSmOev1VtBfgwQj/lz/fpWwxtd6UxsdUYBOb/qfEaCmBIdqKl+Cr9WKpvU0uFgey/mx\nfp9rwdSXmhpV01m8T56eHQ6Hpi6f96ZeQ5++4n3wtSrCRwVd8hNIyvJ4PEgmk5Jmc7lcWFxclMIB\npjdU2fV0Oq3RtDIajZqOfRaLRZRIk8kkgsGg6B7Z7XYpK/V4PIIZJZNJGYOvuZHPz89L2ozsd6vV\nioWFBdTrddhsNvT394sY4OrqqqZ3Brky6XRacARKrrBc1ufzoaurC/Pz86jX2z2wqQ5Lh0GCGtNh\n/f39Qt5TyWksMiAPglFAoVCAyWTCqVOnxOHs2bMHR48elSqrAwcOIJfLyWeOxEIV/4jFYpLe43pt\nVduUsPD8889jx44d+PznP4/Pf/7zGB0dxQsvvPBuzG3bLsNUxrQqk3ExU0FYau8w3cTTswqy6jdy\nXudyQG5VyXU956UHuXlC5AZaLBY17U+tViuCwSAcDoecUok/qPgGgV6CqCSvkbTn9/vlPS6XC263\nW/AEp9OJvr4+uFwu6ZFBcppK/ItEIhJddXd3a9ajXq8jFAoJeO71euHxeMSJU4XUbreLc+/r60Mk\nEpFnMTY2hu7ubtEvotoAAX1WOxFMLpVKWFhYkOdDEJ2lwC6XS8iCdIQEhGkU6+Oad3R0YHBwUFKM\nbrcbfr9f7oNM73A4LGsXi8XEQdPpMzIzGo3w+XxwuVzyO1Wvi9EgozV1ve12u+h3dXV1YXBwUNbP\n4/FgZGQENpsNFotFtJUYdVarVaTTaYnOiOu4XC65DzoevofFEXzuVKDdqrbpUfXRRx/FD3/4Q9FV\nOn36ND75yU9KfnDbrg27VBb2Zu/Rp40udjK60muq11jvb9RNRN24+FotbaWR0csTvf6adGx0Tnwf\nNwar1Yru7m5JK7HKh5sTADkRs3kRowmVvczNxWg0SgWTet1IJIJmc00wkBwAitUR8CW/IRKJCCua\nVTpMywWDQelyVq/XhWlMAlgoFJJNvFAoiK5VNBqF1+sVJ8z74O+BNZCbnInR0VHhOSSTSYyMjEgv\njXK5jM7OThEfNBgMUo1E/gY3awDS12N0dFRKQpkGI0M6n8+LE2P6LhKJyHrX63V0dXVJROTxeFCt\nVjEwMIByuYy+vj6YzWbceuutqFar8Pv9iMfjcLvdKBaL8Hg8MqbNZpP1DofDqFQqsFqt8Pv9sFqt\nEmFynYLBoHxOtnL6e1PnUK/XNYJ7O3bsuEDHZ9vee2NqhTjBpaSoVJYwUx6XY1cCpFOW4FLnyUhC\n7RGhT2+x3BJop6zcbrcGkCaTW60kUntfU/hOPemrkRDJWUxRZLNZkdNW9ZjUijBWJ6lNkqiTxWsy\nBUQCnd/vx9mzZ1GpVJBMJqWUVeVFTE5OalI4RqNRyGWrq6vwer2ifppIJLBz504cOXJEHGEsFtMo\n53Z1dWF6elrIe3TejB5IICToXSwW4fV6hT9QKBREEp33OjQ0hBMnTsgzoQPmvIlrkLxXrValuQ+v\nMTQ0hCNHjkjFUywWw7FjxwSQ9ng8OHPmjKS/mIqjtE+hUMAHP/hBSV3l83lEIhEcOXIE9XodqVQK\nd955J5577jmZZyAQwOTkpKQXWQ5LQJrRgsrW38qtBjYFpD/72c/CZDLhF37hF9BqtfC3f/u3aDab\n+OY3v/nOTep9CkhfrTF1cDHCnd4u1kTnUu1yx1AF2DbjQdBU56A39qimOZ1OOYnTeakb/3qMdJaz\n8hp6LSsC0uoYRqNRI1+uEqLomNR5q13uqNhK0T+LxaIRemP5Z29vr4xZLBYxPz+v6W3BZklAu7Jw\nYWFB+BfkWqisYJ/PJ60uWRmWyWTEOTB9pfYwSCaTqFQqgjFQEp2ne4fDIfLklFjJ5/OykTudTuze\nvVsqi0KhkLQRBSAlqeVyWaQz2IWQYDHThqurq1K22mq1xOFQ8oRr4fV6Rf69Wq1KpJBOp5FOp9Hd\n3S2yLJlMRhjS/f39cgjwer0YHR3VsMXD4bAcaCjk+L5t9vMXf/EX+PM//3MpXb3jjjvwa7/2a+/4\nxLbt8u1SIwbV3o6cqToG89oAJI+rt82cl1rRxLy0vqKJ16CDIYDIPDjH4KmV5a8qJ0JtxMNxAayb\nnmJfajoNp9MplTBms1nE69STrSrux7QSK4tYGcQ2mEB78/mnf/onZLNZ0f5ZXV0VMNvlcqFarcqp\nnqkfbl5MV1FRlu85d+6cFA709/djdnZWKrcGBgaQSCTkBB6LxTTMbvZmPn36tBDgfD4fJiYmUCqV\nkEqlcODAAZw+fRq5XA5OpxPj4+OYmJhAPp+XXgupVEpTgttoNMRZlEol6XBnMBhQKBTgcrlw8uRJ\naZm6Y8cOnD17FslkEmazGfv375eWqsBaIx6WBjebTcRiMZw8eVLA/f7+fmF6Ly8vIxaLYWZmRtOa\n9I033hAAet++feju7pZrkLOhfnavVmfuWrZNd5JGo4EvfvGL+M3f/E15rT91bdu20bj5AZCN81Kj\nAwAiSU2rVCoXlLKq12A5KNNVBBK5sRM0Jw7ATZoOAoCAmCpQzrw2S1lZwsg0BxsSAWtpE3XetVpN\n8uDAmvAhq6gop82OZVarVfoVsIQ2nU4LxsA5+f1+SWtQyZWnZ/ZnOH78OKrVKoLBIPr6+lAoFETO\nu6OjQ3pOqHpIdPBWq1Vkq4F2LwOPxyObIkuNuc4AJK3FnHw6nRZ5cTpBtU88/5/RGvP7lN8gHmK3\n26X5EsF7VeK9t7dXnsHIyAjS6bSkqsLhsBDWVPY8oxS3243e3l4sLS3J2nq9XkxNTcmGz4hCdQAk\nGKrY1Fa1TZ3DRz7yETz77LMCyhSLRdx///04dOjQOz65bbv2jfIIzO2vB1KrPIcr+TLxGsBaySg3\nbjofr9cr71d7BzBK4eZHB8DKFAAybxXkVjWugDUnxVRCo9GAx+OB0+nU4BtsRANc2BucKS5yDlqt\nFkKhkPx+cnISwWBQiF9qaosbM2WwAUjqbGRkRNbCYrEI1yEQCKDZbOIDH/iAXIMbJvtBNBoNOJ1O\nqcLh+jEPz0iEne8YQRGUdzgcUvNP+QrKj9Cp2mw2VKtVOYHT2dTrdVFIbTabIjlOccHOzk4Bi9kS\nFVjDtsLhsHze/H4/arUaBgcHAbQdZ6VSEVYzu+F1dnZK+9pCoYCRkRF0dXUJ36Sjo0PmTdkRVayy\n0WgIl2I9deCtZJs6h0qloiF5eDwejWbMtr2/TQV6+aVSlV7VRkSUibhYJLEeyK0yplmmyRN5s9lu\nj6mK3pnNZk0rTIKIHMPpdF7AslYxh/XSXgSJOWYkEtF0N/N6vZLv55j6zSORSAihinIQqhEw5Qa+\nZ88eZDIZGZNS5Cpg6nK5JK1kNptRKBRERTSVSmHv3r2ilWQymdDR0YGZmRmJ/oeHhzE1NaXhORSL\nRUkBGQwGjWS32+2W/s90cnv27BEGusViwejoKI4dOyZj2mw2pFIpuXdGUBwzk8ng7rvvRiqVQrPZ\nRKFQgMPhwMzMjIDHN954I44dOyZRU3d3NyYnJzUcj2KxKGmlYrGI0dFRUW1dXV2F3+/HxMSEzPvD\nH/4wTp8+Lam9sbExnD59WtJ2PT09OH36tADSrHri62QyKSqtW9E2BaQ/9KEP4Wtf+xpuuukmAO0e\n0L/+67+OF1988Z2b1DYgfV3YRlLjKuiqZzNfKoCnylQzdUBTK4PUjmwkhaldzLjJGwxr8tr8p86T\njXr4Wm/xeFz4FowIyHLmCZxKpXRQ1BKinTlzRpyYyWRCJBLREPOWlpawtLQkaRm73S6VPZwzK6+A\n9qk+EAgInuB2u3Hq1CnpJmcymdDb2yslona7HZlMBktLSxKdUM6E6SXm1VU2c0dHh2zofr9fMAum\nqqLRKPr6+pDL5eRZLC4uCpuZFVdq5DA3NyfdCt1uNyKRiJQOWywWrKysaBjSTB8Sc3A4HAiHwwJq\n22w2Yb0DbaXdSqUieFQ4HBbCIfWamGYjsY/rMTU1BafTKfetEjDZw5ym6lJtNdv0W/pnf/Zn+Lmf\n+zl0dXUBaH+A/+7v/u6qLjowMCDhscViwSuvvHJV420FUwHTjZjG15oxl8vNXy8IR6OD2Eh+g7IR\nPMHr5T3011AjC/Vn6mt1DL5ffV2tVqWEleCzKiNtMpmEJEhWM3sDsOPY6uqqMIFdLhdyuZwweNV0\nkTovXoPpKVZaUSmUG3elUsHo6KjmGj6fDysrK4jH4zCbzQiHw+jo6NA4xVarhcXFRelDMTIygsnJ\nSZRKJdlQFxcXBZAeGhqSDZVVU5TGYM+CQCCAubk5aSPqcDgwOTkpzHWK8FHKo6OjA5lMBqVSSfSc\n1Fa3jGKmp6clPdfb24vp6Wlxci6XC4VCQYholCtn2i4cDmNlZQXz8/PSdKdWq8mYlUoFfX19OH78\nuBD7IpEInn76acEcPv7xjwtj2mq1YufOnZiZmZHe1y6XC/l8Xpjb3d3dGBoaEmVcAuVb1TZ0Dq+8\n8gp6e3tx4MABnDx5Et/4xjfwne98B/fffz+Ghoau6qIGgwHPP//8BUqb71djHhpYq6/Xg7DXonFj\n5cl2o/CaMgrrOTw1NcN71zsQ5qwBCHFLrfrRp4A4D1YrWa1WSW/xVE8hOjoWPZCuL1tlykT9e/4t\nIwdWJ23EGQmHw5IW8/l84hQByMZLoJwVVk6nU9aOeXrOQ9+EiVVUbDHq8/mk7zLQdtLT09Oavhr1\nel1DLuvp6UE6nRYeCCukVMzGZDIJ2Y/APIFfakH5fD6JAshApyheLBZDs9nE8vKyJnfvcDjkWpFI\nRMP3GBoaQqPREAXVYDCIYrEoEtzs5MfIlS08GXl5vV4sLi4Ko9pkMuHs2bPw+XywWCyw2WySXiJx\nsFwuw+VyiWIypdvpOH0+32UVW1xvtqFzeOSRR/Dss88CAF566SU8/vjj+PrXv46jR4/iV3/1V/Hk\nk09e1YW300ZrdiVM42vFeKq+mG3GiFZtvd+vx4hWgVoAov3D+egl0PWsaz1ITR0m1TgmgUh2d1PB\nYqZnGPVwnkylqCkgNuzh72u1GpLJpBDLKFfN6ideW503Uz98rTpXOuje3l6RlGbpK9MzPp9PgGw6\nVq/XKw6EVULsc+DxeATzoXOl0zAYDCKzzWfMdB2vA0CeBeXLuU6UwrZYLJIG5BqUy2VEo1GpUmo0\nGiIb7nA45GSvalpVKhUMDAzIfagSGHQmgUBAJLvJ2yiVSjCZTMjn83A6nRp2uMlk0jivZrMpz3Cr\nYg20DZ1Ds9mUk/23v/1tPPLII/jEJz6BT3ziE9i/f/9VXdRgMOCjH/0oTCYTHnnkEXzuc5+7qvGu\nd9ODsFvpQ8cTHLBW8qmaKgt+sehDNf2Jm8A3X1NraCNjCmYjQFpt5gNAKpni8bgm9760tCSYQ1dX\nl4b05na7pTEMsMaIZkTSbDaRzWaxuLiIVquFbDaLwcFB6TJGPaCVlRUN6a1cLmtakbL1KK/hcDik\nsREZvEyL5PN56XVdqVSktHNxcVGcWKvV0gDnLMkl07hQKGB4eFiE9zKZDIaHhzUYTygUwuLioszb\n5XIhHo9r0ldOp1OuYTKZ4PF4MDU1JSzyvr4+zM/PS8Oh7u5unDt3TkPWO3PmjIDxBoMB4+Pj0gnO\n5XJhZWVF2OKrq6vYu3cvpqenJaV49913CyBdKBQwNDQk/AwAIkfCa1gsFrjdbg2wfiUqxdeLbQhI\nU7HQYrFgbGwM3/jGN3DXXXcBAHbv3o3jx49f8UUXFxfR1dWFeDyOe++9F0888QTuuOOOtUm9TwFp\n5t0vp9xTL6v9dtjbPSbrwjeKMMhLYJpnM9NXy+nnu1njJJ7oubFTjE8FuUkk4+m9XC6jVqtpTp3M\nbbPfczQaRaFQEElpVrXQVOCcaY1KpaKpxyeTl6WjnCtP+UyfAGvidTzNEzvh37jdbiwsLIg8NsUG\nKZnNMlzeH8tr2VYTaJ/yCbTzBM5NntLX4XAYQ0NDAlAzPZjL5SSSolQ50D4QMD1TLBYRDocxPT0t\nrUT9fr+QGTlv9t/I5/Oy/tVqFclkUkDiW265RUDpWCyGf/iHf0Aul5Oy3mAwCLfbjbm5OcRiMdF4\nYgMks9ksvyfuYbFYNEB6MBiUNKLD4YDb7d6ynTE3jBwefvhh3HXXXQgGg3A6nbJ5T0xMXHVXOILb\noVAIDz30EF555RWNcwCAxx57TP7/4MGDOHjw4FVd83qwywGhWWXCXPPb8QGlhPfFwOMrsc2cnR6A\nvpTx1GZAeoD6Uq7HzYW4iUqCo3EtmIKhU2J3O+oiVatVuN1ukYBg+bc6r/VwCHY4oypuJBJBIpFA\nrVZDuVxGd3c3VlZWBJBm3nxhYQFmc7sXdjQaFY0nt9uNYDAooC7QdiCpVEq4GR0dHULkIxicz+dR\nLBYF9F5eXpaoqKurC2azGadOnRKC2/j4OF588UU0Gg0kEgn09fXh6NGj4hj37NmD5eVl6RHR19eH\nTCYjzrKjo0NO9owAzWaz6DWVSiXs3r1bGh/ZbDbEYjEpFa5UKohGo5ibm5PPLPkYKoGP69VsNpFK\npTA0NIRSqSSppc7OTpw4cQKlUgnpdBr79+8X1nsul4PH40EulxPGdDgcxsDAgIbsuFWlM4CLOIcv\nfelL+MhHPoKlpSXcd9998oVrtVp44oknrviC1JchCeWHP/whfud3fueC96nOYdsuNBVAZarjatNR\n6pgEYa/FD78KUJPpSz2hS8FAVEE+YGOnTHIc+RtUUrVarULcYhkkW4cCkJ97vV5NGSTnyXl3d3ej\nUqmIuqnb7UY+n5fTvNFohN/vl1SKx+PBysqKOG2evBn9kNPBtSCTu9lsyim/t7cXmUxGqpUorU3r\n6OhAPB6Xe2IqzO12C9ZA/KJYLMpJm5Ffq9XCxMSESGUDbb4FZcaBtsPK5/MaMN9ut8uYPp9PwGaq\n35rN7R7PmUxG2q9aLBZJd+3fv1+qo1hgMDg4KA47Go1iaGgIS0tLEpk5HA5pTkSdKuJKwFofDorr\nMUJhuow40la1i97ZbbfddsHPrrZ0a3l5GQ899BCAdn74U5/6FO67776rGnPb3hm7VlN7evYycPlN\nV/RORJ+aYnRBoFrdpLgJut1uOaFvpFSsOgeCtWpZLU/yTGuR9MeogyAoX6uVRoxKVLkQAtF0ao1G\nA6FQCIFAQDYyv98v0T/TUUw5EXSmhDWdQzAYlBw7HST/loqolNVgFMaSUI/Ho+kHQoyNZLz+/n74\nfD74/X4R2QMgZbWcF/tH01lTBI/jUeupVquht7cXLpcL4+PjgnEwFQSsVUYRfOfnhwcCpiZtNpuw\n7wmMq89qK9u7fneDg4N4/fXX3+3LbjljxczlSHRfypiMHtYDj7eKMcXD9AOrjVSrVCrCz2B7TJWF\nzQ2YzoNSHKqY39zcnJwyV1dXEQ6H5fc83WcyGbRaLekxEI/HBYT1+/0ahnRnZ6ecigEIOYw5cbUU\nF1hjk5MvwHmzkopAvKr0ajAYUKvVhCVMcb7JyUlxCoFAQPgDmUwGo6OjeOutt0QVlfwCRjzMy5Ow\nxhO/2u/5jjvuQDabFYCd/bTV14lEQpyFw+EQLAVob+qJRELUZGu1Gvbu3Yt8Pi9RMHs6UAIjFosJ\nH8NsNguQzvUklkSMh9Gfur6bMf6vZ9uUIf1e2PsVkL5cI4D6dop/vRNjXqum4gHA2uZqMBhEEI+n\nfILMJHCxpJSbLDcINYKYnJzUjKmeUIG2w2A0YTabpac1a/3JW6hWq6Ih5XK5ZOP2+Xyi8wO0T7Ys\n/WRKkFLbqnNQGcflchnxeFxSYuRwcCNnxzo6sEAggJMnT0pvbKZnmPLhfHO5nPTCNplM6OnpESDb\n7Xbj8OHDACBcgp6eHmE1kwDHbnbUtCIpjdwPyoUA7Y2cKSOgHR1RM6pUKonsj5qCZWkw583DFnt2\nsyxYrQ4jL4L2vpbs3rZr19YDUa/FMa9VUx0gUyOqmB8Bf4LzBKDNZrPUvuudqLpRsGgAaEcSlBLn\n31mtViQSCRnT6/WiVCqJA/F4PMhms5JmCgQCghdwDDXaYyQ0OTkp6SX2POYzZdMdVmq5XC4kk0lk\nMhlhHqvKuKx6ovREo9GA3+8XGYtKpSLNfljNxVQZORiU4yYgTSIf5bMrlQpuuOEGIewVCgVEo1G8\n+eabwojev38/3njjDaTTaVgsFuzatQv5fB6JREJA71KpJKXAnZ2d2Lt3r5THulwuDA0NYWpqStJl\nfX19ePPNN8UZj42NSbmsSsRT+6xTlRW4kJm/1WzbOWzbtgHiGAAIOYq1+6zsYe8I8hk2a6EaDoc1\nGkUul0uwAoKZlAF3OBxSV8+mOV6vVzZ2RhJ0CMBaNAJAqpVYk8/UEfPtjCSYvwfakRPlu4ljEASn\noyHxjCdtpl9qtZoAu6w+5Imb+MbS0pJswul0WoBdh8OB3t5ekQnp6ekRljMrrcrlMpxOp7RwXV5e\nhsFgEJIg5bRZpddqteDxeIRgR10kssWJ3fj9fqmAYotSRmz1el00mEwmEzo7O+FyuWQtWNpKleH3\nvWT3tr2/TBWGux70nd4uWy+NqaoRs3mQWsHFnP5G5D2bzYZwOAxgDddQx+QGyA0P0ILF5XJZU+VD\nsJhpJKb/OCZ5Cmx8RGIf5bjpGFZXV+V07Pf7NaXQlBUhCKuyw1VjiTtTPDxR8zND7TSj0SiVS3Rk\nFosFDocDu3btArBGOlQ7rKlkRoLeLpdLg+0wZcV5N5tNdHd3A1grUKBmGcHkQCAgz1CtPGNkpbb9\npBQKnYPaDwTAlo+wt67b27bLNqYC6vW6hoX8fjB1c1eVXoE1CW+edAlUM5+vtqekEUugphPTOPpr\n8j3Mf6umlkqqZa2lUkkiDgCaa5DQViwWsbq6qpEn53/j8ThyuRyy2aw4EqZPiFfwdbVaRTgc1jQD\nKpfLWFhYQDqdxsLCAlZXV5HL5aSXt8lkQjabRaFQQKFQEL4Ix2QfC86ZziObzSKfzyOZTMLhcCCX\ny8nYw8PD4lysVituvPFGVCoVuQbQ7qRH9jOdA9uCJpNJeDwe4aGUy2X4fD7k83mZu91ul7UjPpFI\nJJDL5ZDL5UQLSv2ObGVsdBuQ3jYxbhS0jZjGehXWrWJ6MF59TaYtpa/1JEGevtXPLXtIMBLTy3qQ\npc2SSqZQ9P2riTm0Wi0sLS3J6d5kMknfaqY50um0sK4Zdain/nQ6rVF6tVgs6OjokIodnvbpsNil\njZiG3W7H5OSk9Ijg3/h8PhQKBY22FK9BMFkFdskZoTwH5TYKhYLoTFksFmkZ6nK5EIvFkE6npULo\n3LlzIgtO+XJiGF6vFxMTE7LGbrcbnZ2dohjLjnCVSgW5XO4C0JuAdK1W0zDSw+GwfCcY1WwD0tu2\n5e1SmMZ0INeTtPilmh6MV18bjUYBpEulkojI0YxGo0Z6XO10BkBUPVVrtVrIZDIidxEMBjXra7PZ\nkEwmRRiOXcpoTMdQDpu4AV9TNkI1r9crmkWU02YqkRuy2rWNEhE8SdORxeNxcRjhcBjxeFyAXcqI\nbASk8zPG9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J0s1icDAOhUZtgs8wWk3KyLRKVJJ7Pp2OXYUBHSoc8Vf0NDg96tKKV0wp7b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\njl7YrMXE5NHBwUGdVQ0MO+dlP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"text": [ "" ] } ], "prompt_number": 80 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can go one further, and compute the scatter in each year as well" ] }, { "cell_type": "code", "collapsed": false, "input": [ "grouped_scores = data.groupby(decade).score\n", "\n", "mean = grouped_scores.mean()\n", "std = grouped_scores.std()\n", "\n", "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n", " color='r', lw=3, label='Decade Average')\n", "plt.fill_between(decade_mean.index, (decade_mean + std).values,\n", " (decade_mean - std).values, color='r', alpha=.2)\n", "plt.scatter(data.year, data.score, alpha=.04, lw=0, color='k')\n", "plt.xlabel(\"Year\")\n", "plt.ylabel(\"Score\")\n", "plt.legend(frameon=False)\n", "remove_border()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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BdNi5pE4GU1eKomxapHQmPJ/5pms7XWrlxUCv1zvjfCfTN/Sd5B4gimIfr/RipXhovgRB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\np+rwXmZz8xrpQ2Kvbk7+MvjAzHIHMOFnb7JglUMJ0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"text": [ "" ] } ], "prompt_number": 81 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also iterate over a GroupBy object. Each iteration yields two variables: one of the distinct values of the group key, and the subset of the dataframe where the key equals that value. To find the most popular movie each year:\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for year, subset in data.groupby('year'):\n", " print year, subset[subset.score == subset.score.max()].title.values" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "1950 ['Sunset Blvd.']\n", "1951 ['Strangers on a Train']\n", "1952 [\"Singin' in the Rain\"]\n", "1953 ['The Wages of Fear' 'Tokyo Story']\n", "1954 ['Seven Samurai']\n", "1955 ['Diabolique']\n", "1956 ['The Killing']\n", "1957 ['12 Angry Men']\n", "1958 ['Vertigo']\n", "1959 ['North by Northwest']\n", "1960 ['Psycho']\n", "1961 ['Yojimbo']\n", "1962 ['To Kill a Mockingbird' 'Lawrence of Arabia']\n", "1963 ['The Great Escape' 'High and Low']\n", "1964 ['Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb']\n", "1965 ['For a Few Dollars More']\n", "1966 ['The Good, the Bad and the Ugly']\n", "1967 ['Cool Hand Luke']\n", "1968 ['Once Upon a Time in the West']\n", "1969 ['Butch Cassidy and the Sundance Kid' 'Army of Shadows']\n", "1970 ['Patton' 'The Conformist' 'Le Cercle Rouge']\n", "1971 ['A Clockwork Orange']\n", "1972 ['The Godfather']\n", "1973 ['The Sting' 'Scenes from a Marriage']\n", "1974 ['The Godfather: Part II']\n", "1975 ['Outrageous Class']\n", "1976 ['Tosun Pasa']\n", "1977 ['Star Wars: Episode IV - A New Hope']\n", "1978 ['The Girl with the Red Scarf']\n", "1979 ['Apocalypse Now']\n", "1980 ['Star Wars: Episode V - The Empire Strikes Back']\n", "1981 ['Raiders of the Lost Ark']\n", "1982 ['The Marathon Family']\n", "1983 ['Star Wars: Episode VI - Return of the Jedi']\n", "1984 ['Balkan Spy']\n", "1985 ['The Broken Landlord']\n", "1986 ['Aliens']\n", "1987 ['Mr. Muhsin']\n", "1988 ['Cinema Paradiso']\n", "1989 ['Indiana Jones and the Last Crusade' \"Don't Let Them Shoot the Kite\"]\n", "1990 " ] }, { "output_type": "stream", "stream": "stdout", "text": [ "['Goodfellas']\n", "1991 ['The Silence of the Lambs']\n", "1992 ['Reservoir Dogs']\n", "1993 [\"Schindler's List\"]\n", "1994 ['The Shawshank Redemption']\n", "1995 ['The Usual Suspects' 'Se7en']\n", "1996 ['Fargo' 'The Bandit']\n", "1997 ['Life Is Beautiful']\n", "1998 ['American History X']\n", "1999 ['Fight Club']\n", "2000 ['Memento']\n", "2001 ['The Lord of the Rings: The Fellowship of the Ring']\n", "2002 ['City of God']\n", "2003 ['The Lord of the Rings: The Return of the King']\n", "2004 ['Eternal Sunshine of the Spotless Mind']\n", "2005 ['My Father and My Son']\n", "2006 ['The Departed' 'The Lives of Others']\n", "2007 ['Like Stars on Earth']\n", "2008 ['The Dark Knight']\n", "2009 ['Inglourious Basterds']\n", "2010 ['Inception']\n", "2011 ['A Separation']\n" ] } ], "prompt_number": 82 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Small multiples\n", "\n", "Let's split up the movies by genre, and look at how their release year/runtime/IMDB score vary.\n", "The distribution for all movies is shown as a grey background.\n", "\n", "This isn't a standard groupby, so we can't use the groupby method here. A manual loop is needed" ] }, { "cell_type": "code", "collapsed": false, "input": [ "#create a 4x6 grid of plots.\n", "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), \n", " tight_layout=True)\n", "\n", "bins = np.arange(1950, 2013, 3)\n", "for ax, genre in zip(axes.ravel(), genres):\n", " ax.hist(data[data[genre] == 1].year, \n", " bins=bins, histtype='stepfilled', normed=True, color='r', alpha=.3, ec='none')\n", " ax.hist(data.year, bins=bins, histtype='stepfilled', ec='None', normed=True, zorder=0, color='#cccccc')\n", " \n", " ax.annotate(genre, xy=(1955, 3e-2), fontsize=14)\n", " ax.xaxis.set_ticks(np.arange(1950, 2013, 30))\n", " ax.set_yticks([])\n", " remove_border(ax, left=False)\n", " ax.set_xlabel('Year')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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HtWvXYuDAgXj77bfNt+H7902OEpJptbDmIXhMsKxJURFgNDQHABReXjCew0tm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\nX1AoODX0FzyLEzmiv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"text": [ "" ] } ], "prompt_number": 83 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some subtler patterns here:\n", "\n", "1. Westerns and Musicals have a more level distribution\n", "2. Film Noir movies were much more popular in the 50s and 60s" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), tight_layout=True)\n", "\n", "bins = np.arange(30, 240, 10)\n", "\n", "for ax, genre in zip(axes.ravel(), genres):\n", " ax.hist(data[data[genre] == 1].runtime, \n", " bins=bins, histtype='stepfilled', color='r', ec='none', alpha=.3, normed=True)\n", " \n", " ax.hist(data.runtime, bins=bins, normed=True,\n", " histtype='stepfilled', ec='none', color='#cccccc',\n", " zorder=0)\n", " \n", " ax.set_xticks(np.arange(30, 240, 60))\n", " ax.set_yticks([])\n", " ax.set_xlabel(\"Runtime [min]\")\n", " remove_border(ax, left=False)\n", " ax.annotate(genre, xy=(230, .02), ha='right', fontsize=12)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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y8/dngdWKlJWVQW9zkLDNo5bm6NlY4fn5CLR9xlFAAO/LUkhVVRVqbPLG9iH1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\n7YcPq8ZMS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"text": [ "" ] } ], "prompt_number": 84 }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Biographies and history movies are longer\n", "1. Animated movies are shorter\n", "1. Film-Noir movies have the same mean, but are more conentrated around a 100 minute runtime\n", "1. Musicals have the same mean, but greater dispersion in runtimes" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), tight_layout=True)\n", "\n", "bins = np.arange(0, 10, .5)\n", "\n", "for ax, genre in zip(axes.ravel(), genres):\n", " ax.hist(data[data[genre] == 1].score, \n", " bins=bins, histtype='stepfilled', color='r', ec='none', alpha=.3, normed=True)\n", " \n", " ax.hist(data.score, bins=bins, normed=True,\n", " histtype='stepfilled', ec='none', color='#cccccc',\n", " zorder=0)\n", " \n", " ax.set_yticks([])\n", " ax.set_xlabel(\"Score\")\n", " remove_border(ax, left=False)\n", " ax.set_ylim(0, .4)\n", " ax.annotate(genre, xy=(0, .2), ha='left', fontsize=12)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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naY+SeYggEREREZFXVqvs7TMIo6HHMTU1sgVhVEGBahcfIq/AcruBhgbvy4iI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\n2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"text": [ "" ] } ], "prompt_number": 85 }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Film-noirs, histories, and biographies have higher ratings (a selection effect?)\n", "1. Horror movies and adult films have lower ratings" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Other Resources\n", "\n", "* Chapters 5 and 7 of [Python for Data Analysis](http://www.amazon.com/Python-Data-Analysis-Wes-McKinney/dp/1449319793)\n", "* IPython notebook on [Data wrangling with Pandas](http://nbviewer.ipython.org/urls/gist.github.com/fonnesbeck/5850413/raw/3a9406c73365480bc58d5e75bc80f7962243ba17/2.+Data+Wrangling+with+Pandas.ipynb)\n", "* [Lecture 4](https://drive.google.com/folderview?id=0BxYkKyLxfsNVd0xicUVDS1dIS0k&usp=sharing) of Harvard's CS 109: Data Science" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*css tweaks in this cell*\n", "\n", "" ] } ], "metadata": {} } ] }