# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for the private `_OptimizeDataset` transformation."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import warnings

from absl.testing import parameterized
import numpy as np

from tensorflow.python.data.experimental.ops import batching
from tensorflow.python.data.experimental.ops import grouping
from tensorflow.python.data.experimental.ops import optimization
from tensorflow.python.data.experimental.ops import scan_ops
from tensorflow.python.data.experimental.ops import threadpool
from tensorflow.python.data.kernel_tests import test_base
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import variable_scope
from tensorflow.python.platform import test


def _generate_captured_refvar_test_cases():
  """Generates testcases.

  Returns:
    A list of tuples of (testcase_name, make_dataset_fn). make_dataset_fn takes
    a tf.Variable as input and creates a test dataset that uses that variable.
  """

  def make_map_dataset(var):
    return dataset_ops.Dataset.from_tensors(0).map(lambda x: x + var)

  def make_flat_map_dataset(var):
    return dataset_ops.Dataset.from_tensors(
        0).flat_map(lambda _: dataset_ops.Dataset.from_tensors(var))

  def make_filter_dataset(var):