# Copyright 2017 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.
# ==============================================================================
"""TFDecorator-aware replacements for the contextlib module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import contextlib as _contextlib

from tensorflow.python.util import tf_decorator


def contextmanager(target):
  """A tf_decorator-aware wrapper for `contextlib.contextmanager`.

  Usage is identical to `contextlib.contextmanager`.

  Args:
    target: A callable to be wrapped in a contextmanager.
  Returns:
    A callable that can be used inside of a `with` statement.
  """
  context_manager = _contextlib.contextmanager(target)
  return tf_decorator.make_decorator(target, context_manager, 'contextmanager')