message: CLN: rename ordered_dict_x => ordered_dict_data
diff: @@ -100,9 +100,9 @@ def numpy_input_fn(x,
  raise TypeError('x must be dict; got {}'.format(type(x).__name__))
  # Make a shadow copy and also ensure the order of iteration is consistent.
  - ordered_dict_x = collections.OrderedDict(
  + ordered_dict_data = collections.OrderedDict(
  sorted(x.items(), key=lambda t: t[0]))
  - feature_keys = ordered_dict_x.keys()
  + feature_keys = ordered_dict_data.keys()
  if y is None:
  target_keys = None
  @@ -110,13 +110,13 @@ def numpy_input_fn(x,
  ordered_dict_y = collections.OrderedDict(
  sorted(y.items(), key=lambda t: t[0]))
  target_keys = ordered_dict_y.keys()
  - ordered_dict_x.update(ordered_dict_y)
  + ordered_dict_data.update(ordered_dict_y)
  else:
  - target_keys = _get_unique_target_key(ordered_dict_x)
  - ordered_dict_x[target_keys] = y
  + target_keys = _get_unique_target_key(ordered_dict_data)
  + ordered_dict_data[target_keys] = y
  - if len(set(v.shape[0] for v in ordered_dict_x.values())) != 1:
  - shape_dict_of_x = {k: ordered_dict_x[k].shape
  + if len(set(v.shape[0] for v in ordered_dict_data.values())) != 1:
  + shape_dict_of_x = {k: ordered_dict_data[k].shape
  for k in feature_keys}
  if target_keys is None:
  @@ -124,7 +124,7 @@ def numpy_input_fn(x,
  elif isinstance(target_keys, string_types):
  shape_of_y = y.shape
  else:
  - shape_of_y = {k: ordered_dict_x[k].shape
  + shape_of_y = {k: ordered_dict_data[k].shape
  for k in target_keys}
  raise ValueError('Length of tensors in x and y is mismatched. All '
  @@ -133,7 +133,7 @@ def numpy_input_fn(x,
  'Shape for y: {}\n'.format(shape_dict_of_x, shape_of_y))
  queue = feeding_functions._enqueue_data( # pylint: disable=protected-access
  - ordered_dict_x,
  + ordered_dict_data,
  queue_capacity,
  shuffle=shuffle,
  num_threads=num_threads,
  