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# 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')
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