old_contents: # -*- coding: utf-8 -*-
  
  from __future__ import division, print_function, absolute_import
  
  import numpy as np
  
  
  def melcd(array1, array2):
      """Calculate mel-cepstrum distortion
  
      Calculate mel-cepstrum distortion between the arrays
      or vectors. This function assumes the shapes of arrays
      or vectors are same.
  
      Parameters
      ----------
      array1, array2 : array, shape (`T`, `dim`)
          Arrays of original and target.
  
      Returns
      -------
      mcd : scala, number > 0
          Scala of mel-cepstrum distortion
  
      """
      assert array1.shape == array2.shape
  
      if array1.ndim == 2:
          # array based melcd calculation
          diff = array1 - array2
          mcd = 10.0 / np.log(10) \
              * np.mean(np.sqrt(2.0 * np.sum(diff ** 2, axis=1)))
      elif array1.ndim == 1:
          diff = array1 - array2
          mcd = 10.0 / np.log(10) * np.sqrt(2.0 * np.sum(diff ** 2))
      else:
          raise ValueError("Dimension mismatch")
  
      return mcd
  
new_contents: # -*- coding: utf-8 -*-
  
  from __future__ import division, print_function, absolute_import
  
  import numpy as np
  
  
  def melcd(array1, array2):
      """Calculate mel-cepstrum distortion
  
      Calculate mel-cepstrum distortion between the arrays.
      This function assumes the shapes of arrays are same.
  
      Parameters
      ----------
      array1, array2 : array, shape (`T`, `dim`) or shape (`dim`)
          Arrays of original and target.
  
      Returns
      -------
      mcd : scala, number > 0
          Scala of mel-cepstrum distortion
  
      """
      if array1.shape != array2.shape:
          raise ValueError(
              "The shapes of both arrays are different \
              : {} / {}".format(array1.shape, array2.shape))
  
      if array1.ndim == 2:
          # array based melcd calculation
          diff = array1 - array2
          mcd = 10.0 / np.log(10) \
              * np.mean(np.sqrt(2.0 * np.sum(diff ** 2, axis=1)))
      elif array1.ndim == 1:
          diff = array1 - array2
          mcd = 10.0 / np.log(10) * np.sqrt(2.0 * np.sum(diff ** 2))
      else:
          raise ValueError("Dimension mismatch")
  
      return mcd
  
subject: modify assert in distance.py