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paddlepaddle--paddle/python/paddle/base/wrapped_decorator.py
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2026-07-13 12:40:42 +08:00

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# Copyright (c) 2019 PaddlePaddle 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.
import contextlib
import functools
import inspect
from collections.abc import Callable
from typing import TypeVar
from typing_extensions import ParamSpec
_InputT = ParamSpec("_InputT")
_RetT1 = TypeVar("_RetT1")
_RetT2 = TypeVar("_RetT2")
__all__ = []
def copy_signature(
src: Callable[_InputT, _RetT1], dst: Callable[_InputT, _RetT1]
):
src_signature = inspect.signature(src)
dst.__signature__ = src_signature.replace(
parameters=list(src_signature.parameters.values())
)
def wrap_decorator(
decorator_func: Callable[
[Callable[_InputT, _RetT1]], Callable[_InputT, _RetT2]
],
) -> Callable[[Callable[_InputT, _RetT1]], Callable[_InputT, _RetT2]]:
@functools.wraps(decorator_func)
def __impl__(func: Callable[_InputT, _RetT1]) -> Callable[_InputT, _RetT2]:
decorated = decorator_func(func)
@functools.wraps(func)
def wrapper(*args: _InputT.args, **kwargs: _InputT.kwargs) -> _RetT2:
return decorated(*args, **kwargs)
copy_signature(func, wrapper)
return wrapper
return __impl__
signature_safe_contextmanager = wrap_decorator(contextlib.contextmanager)