Add a decorator to enforce function be called with keyworded args (only).

Change: 141373569
This commit is contained in:
Jianwei Xie 2016-12-07 16:29:22 -08:00 committed by TensorFlower Gardener
parent 539fafd32e
commit 6809ac80b2
3 changed files with 112 additions and 0 deletions

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@ -244,6 +244,15 @@ py_test(
],
)
py_test(
name = "keyword_args_test",
srcs = ["util/keyword_args_test.py"],
srcs_version = "PY2AND3",
deps = [
"//tensorflow:tensorflow_py",
],
)
cc_library(
name = "python_op_gen",
srcs = ["framework/python_op_gen.cc"],

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@ -0,0 +1,52 @@
# Copyright 2016 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.
# ==============================================================================
"""Keyword args functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
from tensorflow.python.util import decorator_utils
def keyword_args_only(func):
"""Decorator for marking specific function accepting keyword args only.
This decorator raises a `ValueError` if the input `func` is called with any
non-keyword args. This prevents the caller from providing the arguments in
wrong order.
Args:
func: The function or method needed to be decorated.
Returns:
Decorated function or method.
Raises:
ValueError: If `func` is not callable.
"""
decorator_utils.validate_callable(func, "keyword_args_only")
@functools.wraps(func)
def new_func(*args, **kwargs):
"""Keyword args only wrapper."""
if args:
raise ValueError(
"Must use keyword args to call {}.".format(func.__name__))
return func(**kwargs)
return new_func

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@ -0,0 +1,51 @@
# Copyright 2016 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.
# ==============================================================================
"""Keyword args tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.util import keyword_args
class KeywordArgsTest(tf.test.TestCase):
def test_keyword_args_only(self):
def func_without_decorator(a, b):
return a+b
@keyword_args.keyword_args_only
def func_with_decorator(a, b):
return func_without_decorator(a, b)
self.assertEqual(3, func_without_decorator(1, 2))
self.assertEqual(3, func_without_decorator(a=1, b=2))
self.assertEqual(3, func_with_decorator(a=1, b=2))
# Providing non-keyword args should fail.
with self.assertRaisesRegexp(
ValueError, "Must use keyword args to call func_with_decorator."):
self.assertEqual(3, func_with_decorator(1, 2))
# Partially providing keyword args should fail.
with self.assertRaisesRegexp(
ValueError, "Must use keyword args to call func_with_decorator."):
self.assertEqual(3, func_with_decorator(1, b=2))
if __name__ == "__main__":
tf.test.main()