old_contents: import graph
  from corpus.mysql.reddit import RedditMySQLCorpus
  
  import cred
  
  if __name__ == '__main__':
      corpus = RedditMySQLCorpus()
      corpus.setup(**(cred.kwargs))
  
      result = corpus.run_sql('SELECT * FROM comment_feature_read LIMIT 100', None)
      print('Got results')
  
      values = [ float(v['ari']) for v in result ]
      graph.hist('data/ari_hist', values, 'ARI', 'Frequency',
                 'Frequency of ARI values')
  
      values = [ float(v['flesch_reading_ease']) for v in result ]
      graph.hist('data/flesch_reading_ease_hist', values, 'Flesch Reading Ease', 'Frequency',
                 'Frequency of Flesch Reading Ease values')
  
      values = [ float(v['flesch_kincaid_grade_level']) for v in result ]
      graph.hist('data/flesch_kincaid_grade_level_hist', values, 'Flesch Kincaid Grade Level', 'Frequency',
                 'Frequency of Flesch Kincaid Grade Level values')
  
      values = [ float(v['gunning_fog_index']) for v in result ]
      graph.hist('data/gunning_fog_index_hist', values, 'Gunning Fog Index', 'Frequency',
                 'Frequency of Gunning Fog Index values')
  
      values = [ float(v['smog_index']) for v in result ]
      graph.hist('data/smog_index_hist', values, 'Smog Index', 'Frequency',
                 'Frequency of Smog Index values')
  
      values = [ float(v['coleman_liau_index']) for v in result ]
      graph.hist('data/coleman_liau_index_hist', values, 'Coleman Liau Index', 'Frequency',
                 'Frequency of Coleman Liau Index values')
  
      values = [ float(v['lix']) for v in result ]
      graph.hist('data/lix_hist', values, 'LIX', 'Frequency',
                 'Frequency of LIX values')
  
      values = [ float(v['rix']) for v in result ]
      graph.hist('data/rix_hist', values, 'RIX', 'Frequency',
                 'Frequency of RIX values')
  
new_contents: import graph
  from corpus.mysql.reddit import RedditMySQLCorpus
  
  import cred
  
  if __name__ == '__main__':
      corpus = RedditMySQLCorpus()
      corpus.setup(**(cred.kwargs))
  
      result = corpus.run_sql('SELECT * FROM comment_feature_read', None)
      print('Got results')
  
      values = [ float(v['ari']) for v in result ]
      graph.hist('data/ari_hist', values, 'ARI', 'Frequency',
                 'Frequency of ARI values')
  
      values = [ float(v['flesch_reading_ease']) for v in result ]
      graph.hist('data/flesch_reading_ease_hist', values, 'Flesch Reading Ease', 'Frequency',
                 'Frequency of Flesch Reading Ease values')
  
      values = [ float(v['flesch_kincaid_grade_level']) for v in result ]
      graph.hist('data/flesch_kincaid_grade_level_hist', values, 'Flesch Kincaid Grade Level', 'Frequency',
                 'Frequency of Flesch Kincaid Grade Level values')
  
      values = [ float(v['gunning_fog_index']) for v in result ]
      graph.hist('data/gunning_fog_index_hist', values, 'Gunning Fog Index', 'Frequency',
                 'Frequency of Gunning Fog Index values')
  
      values = [ float(v['smog_index']) for v in result ]
      graph.hist('data/smog_index_hist', values, 'Smog Index', 'Frequency',
                 'Frequency of Smog Index values')
  
      values = [ float(v['coleman_liau_index']) for v in result ]
      graph.hist('data/coleman_liau_index_hist', values, 'Coleman Liau Index', 'Frequency',
                 'Frequency of Coleman Liau Index values')
  
      values = [ float(v['lix']) for v in result ]
      graph.hist('data/lix_hist', values, 'LIX', 'Frequency',
                 'Frequency of LIX values')
  
      values = [ float(v['rix']) for v in result ]
      graph.hist('data/rix_hist', values, 'RIX', 'Frequency',
                 'Frequency of RIX values')
  
subject: Remove arbitrary limit