original_docstring: Strip-down version of the bootstrap method.
  
      Args:
          *data (ndarray): list of data arrays to resample.
  
      Return:
          *bs_data (ndarray): list of bootstrapped data arrays.
docstring: Strip-down version of the bootstrap method.
docstring_tokens: Strip - down version of the bootstrap method .
code: def boot(*data):
      """Strip-down version of the bootstrap method.
  
      Args:
          *data (ndarray): list of data arrays to resample.
  
      Return:
          *bs_data (ndarray): list of bootstrapped data arrays."""
  
      N_data = len(data)
      N = data[0].shape[0]
      # assert np.all(np.array([len(d) for d in data]) == N), \
      #     "unequal lengths of data passed."
  
      index_lists = np.random.randint(N, size=N)
  
      return [d[index_lists] for d in data]
code_tokens: def boot ( * data ) : N_data = len ( data ) N = data [ 0 ] . shape [ 0 ] index_lists = np . random . randint ( N , size = N ) return [ d [ index_lists ] for d in data ]
short_docstring: Strip-down version of the bootstrap method.
short_docstring_tokens: Strip - down version of the bootstrap method .
comment: """Strip-down version of the bootstrap method.
  
      Args:
          *data (ndarray): list of data arrays to resample.
  
      Return:
          *bs_data (ndarray): list of bootstrapped data arrays."""$SEP$# assert np.all(np.array([len(d) for d in data]) == N), \$SEP$#     "unequal lengths of data passed."