def cross_named_parameters(*args):
  """Cross a list of lists of dicts suitable for @named_parameters.

  Takes a list of lists, where each list is suitable as an input to
  @named_parameters, and crosses them, forming a new name for each crossed test
  case.

  Args:
    *args: A list of lists of dicts.

  Returns:
    A list of dicts.
  """
  def _cross_test_cases(parameters_list):
    """Cross a list of test case parameters."""
    crossed_parameters = parameters_list[0].copy()
    for current_parameters in parameters_list[1:]:
      for name, value in current_parameters.items():
        if name == 'testcase_name':
          crossed_parameters[name] = '{}_{}'.format(
              crossed_parameters[name], value)
        else:
          assert name not in crossed_parameters, name
          crossed_parameters[name] = value
    return crossed_parameters
  return list(map(_cross_test_cases, itertools.product(*args)))
Cross a list of lists of dicts suitable for @named_parameters.

  Takes a list of lists, where each list is suitable as an input to
  @named_parameters, and crosses them, forming a new name for each crossed test
  case.

  Args:
    *args: A list of lists of dicts.

  Returns:
    A list of dicts.
  
tensorflow_transform/test_case.py