old_contents: import numpy as np
  from unittest import TestCase
  
  from cartography.extractor import LibrosaFeatureExtractor
  
  def gen_signal(dur, sr, freq):
    return np.pi * 2 * freq * np.arange(dur * sr) / float(sr)
  
  class TestLibrosaFeatureExtractor(TestCase):
    @classmethod
    def setUpClass(cls):
      cls.test_dur = 2
      cls.test_freq = 440
      cls.test_sr = 22050
      cls.test_signal = gen_signal(cls.test_dur, cls.test_sr, cls.test_freq)
  
    def test_mfcc(self):
      extractor = LibrosaFeatureExtractor(None)
  
      num_mfccs = 13
      mfccs_kwargs = {
          'num_mfccs': num_mfccs,
          'delta_mfccs': False,
          'delta2_mfccs': False
      }
      expected_shape = ((13, 1000))
      got = extractor._mfcc(self.test_signal, self.test_sr, **mfccs_kwargs)
      self.assertEqual(expected_shape, got.shape)  # TODO figure out num hops
  
new_contents: import numpy as np
  from unittest import TestCase
  
  from cartography.extractor import LibrosaFeatureExtractor
  
  
  def gen_signal(dur, sr, freq):
      return np.pi * 2 * freq * np.arange(dur * sr) / float(sr)
  
  
  class TestLibrosaFeatureExtractor(TestCase):
      @classmethod
      def setUpClass(cls):
          cls.test_dur = 2
          cls.test_freq = 440
          cls.test_sr = 22050
          cls.test_signal = gen_signal(cls.test_dur, cls.test_sr, cls.test_freq)
  
      def test_mfcc(self):
          extractor = LibrosaFeatureExtractor(None)
  
          num_mfccs = 13
          mfccs_kwargs = {
                  'num_mfccs': num_mfccs,
                  'delta_mfccs': False,
                  'delta2_mfccs': False
          }
          expected_columns = 13
          got = extractor._mfcc(self.test_signal, self.test_sr, **mfccs_kwargs)
          self.assertEqual(expected_columns, got.shape[0])
  
subject: Fix spacing. Update mfcc test to check columns