# Copyright 2016 Shengyang Sun
# Copyright 2017 Artem Artemev @awav
#
# 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.

import functools
import contextlib

import tensorflow as tf

def name_scope(name=None):
    """
    Name scope decorator does little trick with scope naming. The wrapped
    function will be run inside TensorFlow name scope with name specified
    by either `name` option or `name` option is None then name of the
    function will be used.
    """
    def name_scope_wrapper(method):
        @functools.wraps(method)
        def runnable(*args, **kwargs):
            scope_name = name if name is not None else method.__name__
            with tf.name_scope(scope_name):
                return method(*args, **kwargs)
        return runnable
    return name_scope_wrapper
