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# Copyright 2018 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.
# ==============================================================================
"""Utility to retrieve function args."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import six
from tensorflow.python.util import tf_decorator
from tensorflow.python.util import tf_inspect
def _is_bounded_method(fn):
_, fn = tf_decorator.unwrap(fn)
return tf_inspect.ismethod(fn) and (fn.__self__ is not None)
def _is_callable_object(obj):
return hasattr(obj, '__call__') and tf_inspect.ismethod(obj.__call__)
def fn_args(fn):
"""Get argument names for function-like object.
Args:
fn: Function, or function-like object (e.g., result of `functools.partial`).
Returns:
`tuple` of string argument names.
Raises:
ValueError: if partial function has positionally bound arguments
"""
if isinstance(fn, functools.partial):
args = fn_args(fn.func)
args = [a for a in args[len(fn.args):] if a not in (fn.keywords or [])]
else:
if _is_callable_object(fn):
fn = fn.__call__
args = tf_inspect.getfullargspec(fn).args
if _is_bounded_method(fn):
args.remove('self')
return tuple(args)
def has_kwargs(fn):
"""Returns whether the passed callable has **kwargs in its signature.
Args:
fn: Function, or function-like object (e.g., result of `functools.partial`).
Returns:
`bool`: if `fn` has **kwargs in its signature.
Raises:
`TypeError`: If fn is not a Function, or function-like object.
"""
if isinstance(fn, functools.partial):
fn = fn.func
elif _is_callable_object(fn):
fn = fn.__call__
elif not callable(fn):
raise TypeError(
'fn should be a function-like object, but is of type {}.'.format(
type(fn)))
return tf_inspect.getfullargspec(fn).varkw is not None
def get_func_name(func):
"""Returns name of passed callable."""
_, func = tf_decorator.unwrap(func)
if callable(func):
if tf_inspect.isfunction(func):
return func.__name__
elif tf_inspect.ismethod(func):
return '%s.%s' % (six.get_method_self(func).__class__.__name__,
six.get_method_function(func).__name__)
else: # Probably a class instance with __call__
return str(type(func))
else:
raise ValueError('Argument must be callable')
def get_func_code(func):
"""Returns func_code of passed callable, or None if not available."""
_, func = tf_decorator.unwrap(func)
if callable(func):
if tf_inspect.isfunction(func) or tf_inspect.ismethod(func):
return six.get_function_code(func)
# Since the object is not a function or method, but is a callable, we will
# try to access the __call__method as a function. This works with callable
# classes but fails with functool.partial objects despite their __call__
# attribute.
try:
return six.get_function_code(func.__call__)
except AttributeError:
return None
else:
raise ValueError('Argument must be callable')
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