old_contents: from pkg_resources import resource_filename
  
  import pandas as pd
  import numpy as np
  
  
  class LengthGenerator(object):
      def __init__(self,
                   length_file=resource_filename(__name__,
                                                 'resources/note_lengths.csv')):
          print(length_file)
          df = pd.read_csv(length_file)
          notes_count = df['count'].sum()
          df['probability'] = df['count'] / notes_count
          self.note_lengths = df['note_length'].as_matrix()
          self.p = df['probability'].as_matrix()
  
      def generate(self, size=1):
          return np.random.choice(self.note_lengths,
                                  size=size,
                                  p=self.p)
  
new_contents: from pkg_resources import resource_filename
  
  import pandas as pd
  import numpy as np
  
  
  class LengthGenerator(object):
      def __init__(self,
                   length_file=resource_filename(__name__,
                                                 'resources/note_lengths.csv')):
          # print(length_file)
          df = pd.read_csv(length_file)
          notes_count = df['count'].sum()
          df['probability'] = df['count'] / notes_count
          self.note_lengths = df['note_length'].as_matrix()
          self.p = df['probability'].as_matrix()
  
      def generate(self, size=1):
          return np.random.choice(self.note_lengths,
                                  size=size,
                                  p=self.p)
  
subject: Comment out debugging info.