laywerrobot/lib/python3.6/site-packages/tensorflow/python/util/tf_inspect.py
2020-08-27 21:55:39 +02:00

345 lines
12 KiB
Python

# 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 inspect module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import namedtuple
import functools
import inspect as _inspect
import six
from tensorflow.python.util import tf_decorator
ArgSpec = _inspect.ArgSpec
if hasattr(_inspect, 'FullArgSpec'):
FullArgSpec = _inspect.FullArgSpec # pylint: disable=invalid-name
else:
FullArgSpec = namedtuple('FullArgSpec', [
'args', 'varargs', 'varkw', 'defaults', 'kwonlyargs', 'kwonlydefaults',
'annotations'
])
def currentframe():
"""TFDecorator-aware replacement for inspect.currentframe."""
return _inspect.stack()[1][0]
def getargspec(obj):
"""TFDecorator-aware replacement for inspect.getargspec.
Args:
obj: A function, partial function, or callable object, possibly
decorated.
Returns:
The `ArgSpec` that describes the signature of the outermost decorator that
changes the callable's signature. If the callable is not decorated,
`inspect.getargspec()` will be called directly on the object.
Raises:
ValueError: When callable's signature can not be expressed with
ArgSpec.
TypeError: For objects of unsupported types.
"""
if isinstance(obj, functools.partial):
return _get_argspec_for_partial(obj)
decorators, target = tf_decorator.unwrap(obj)
spec = next((d.decorator_argspec
for d in decorators
if d.decorator_argspec is not None), None)
if spec:
return spec
try:
# Python3 will handle most callables here (not partial).
return _inspect.getargspec(target)
except TypeError:
pass
if isinstance(target, type):
try:
return _inspect.getargspec(target.__init__)
except TypeError:
pass
try:
return _inspect.getargspec(target.__new__)
except TypeError:
pass
# The `type(target)` ensures that if a class is received we don't return
# the signature of it's __call__ method.
return _inspect.getargspec(type(target).__call__)
def _get_argspec_for_partial(obj):
"""Implements `getargspec` for `functools.partial` objects.
Args:
obj: The `functools.partial` obeject
Returns:
An `inspect.ArgSpec`
Raises:
ValueError: When callable's signature can not be expressed with
ArgSpec.
"""
# When callable is a functools.partial object, we construct its ArgSpec with
# following strategy:
# - If callable partial contains default value for positional arguments (ie.
# object.args), then final ArgSpec doesn't contain those positional arguments.
# - If callable partial contains default value for keyword arguments (ie.
# object.keywords), then we merge them with wrapped target. Default values
# from callable partial takes precedence over those from wrapped target.
#
# However, there is a case where it is impossible to construct a valid
# ArgSpec. Python requires arguments that have no default values must be
# defined before those with default values. ArgSpec structure is only valid
# when this presumption holds true because default values are expressed as a
# tuple of values without keywords and they are always assumed to belong to
# last K arguments where K is number of default values present.
#
# Since functools.partial can give default value to any argument, this
# presumption may no longer hold in some cases. For example:
#
# def func(m, n):
# return 2 * m + n
# partialed = functools.partial(func, m=1)
#
# This example will result in m having a default value but n doesn't. This is
# usually not allowed in Python and can not be expressed in ArgSpec correctly.
#
# Thus, we must detect cases like this by finding first argument with default
# value and ensures all following arguments also have default values. When
# this is not true, a ValueError is raised.
n_prune_args = len(obj.args)
partial_keywords = obj.keywords or {}
args, varargs, keywords, defaults = getargspec(obj.func)
# Pruning first n_prune_args arguments.
args = args[n_prune_args:]
# Partial function may give default value to any argument, therefore length
# of default value list must be len(args) to allow each argument to
# potentially be given a default value.
all_defaults = [None] * len(args)
if defaults:
all_defaults[-len(defaults):] = defaults
# Fill in default values provided by partial function in all_defaults.
for kw, default in six.iteritems(partial_keywords):
idx = args.index(kw)
all_defaults[idx] = default
# Find first argument with default value set.
first_default = next((idx for idx, x in enumerate(all_defaults) if x), None)
# If no default values are found, return ArgSpec with defaults=None.
if first_default is None:
return ArgSpec(args, varargs, keywords, None)
# Checks if all arguments have default value set after first one.
invalid_default_values = [
args[i] for i, j in enumerate(all_defaults) if not j and i > first_default
]
if invalid_default_values:
raise ValueError('Some arguments %s do not have default value, but they '
'are positioned after those with default values. This can '
'not be expressed with ArgSpec.' % invalid_default_values)
return ArgSpec(args, varargs, keywords, tuple(all_defaults[first_default:]))
if hasattr(_inspect, 'getfullargspec'):
_getfullargspec = _inspect.getfullargspec
else:
def _getfullargspec(target):
"""A python2 version of getfullargspec.
Args:
target: the target object to inspect.
Returns:
A FullArgSpec with empty kwonlyargs, kwonlydefaults and annotations.
"""
argspecs = _inspect.getargspec(target)
fullargspecs = FullArgSpec(
args=argspecs.args,
varargs=argspecs.varargs,
varkw=argspecs.keywords,
defaults=argspecs.defaults,
kwonlyargs=[],
kwonlydefaults=None,
annotations={})
return fullargspecs
def getfullargspec(obj):
"""TFDecorator-aware replacement for `inspect.getfullargspec`.
This wrapper emulates `inspect.getfullargspec` in[^)]* Python2.
Args:
obj: A callable, possibly decorated.
Returns:
The `FullArgSpec` that describes the signature of
the outermost decorator that changes the callable's signature. If the
callable is not decorated, `inspect.getfullargspec()` will be called
directly on the callable.
"""
decorators, target = tf_decorator.unwrap(obj)
return next((d.decorator_argspec
for d in decorators
if d.decorator_argspec is not None), _getfullargspec(target))
def getcallargs(func, *positional, **named):
"""TFDecorator-aware replacement for inspect.getcallargs.
Args:
func: A callable, possibly decorated
*positional: The positional arguments that would be passed to `func`.
**named: The named argument dictionary that would be passed to `func`.
Returns:
A dictionary mapping `func`'s named arguments to the values they would
receive if `func(*positional, **named)` were called.
`getcallargs` will use the argspec from the outermost decorator that provides
it. If no attached decorators modify argspec, the final unwrapped target's
argspec will be used.
"""
argspec = getfullargspec(func)
call_args = named.copy()
this = getattr(func, 'im_self', None) or getattr(func, '__self__', None)
if ismethod(func) and this:
positional = (this,) + positional
remaining_positionals = [arg for arg in argspec.args if arg not in call_args]
call_args.update(dict(zip(remaining_positionals, positional)))
default_count = 0 if not argspec.defaults else len(argspec.defaults)
if default_count:
for arg, value in zip(argspec.args[-default_count:], argspec.defaults):
if arg not in call_args:
call_args[arg] = value
return call_args
def getframeinfo(*args, **kwargs):
return _inspect.getframeinfo(*args, **kwargs)
def getdoc(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getdoc.
Args:
object: An object, possibly decorated.
Returns:
The docstring associated with the object.
The outermost-decorated object is intended to have the most complete
documentation, so the decorated parameter is not unwrapped.
"""
return _inspect.getdoc(object)
def getfile(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getfile."""
unwrapped_object = tf_decorator.unwrap(object)[1]
# Work around for the case when object is a stack frame
# and only .pyc files are used. In this case, getfile
# might return incorrect path. So, we get the path from f_globals
# instead.
if (hasattr(unwrapped_object, 'f_globals') and
'__file__' in unwrapped_object.f_globals):
return unwrapped_object.f_globals['__file__']
return _inspect.getfile(unwrapped_object)
def getmembers(object, predicate=None): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getmembers."""
return _inspect.getmembers(object, predicate)
def getmodule(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getmodule."""
return _inspect.getmodule(object)
def getmro(cls):
"""TFDecorator-aware replacement for inspect.getmro."""
return _inspect.getmro(cls)
def getsource(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getsource."""
return _inspect.getsource(tf_decorator.unwrap(object)[1])
def getsourcefile(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getsourcefile."""
return _inspect.getsourcefile(tf_decorator.unwrap(object)[1])
def getsourcelines(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.getsourcelines."""
return _inspect.getsourcelines(tf_decorator.unwrap(object)[1])
def isbuiltin(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.isbuiltin."""
return _inspect.isbuiltin(tf_decorator.unwrap(object)[1])
def isclass(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.isclass."""
return _inspect.isclass(tf_decorator.unwrap(object)[1])
def isfunction(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.isfunction."""
return _inspect.isfunction(tf_decorator.unwrap(object)[1])
def ismethod(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.ismethod."""
return _inspect.ismethod(tf_decorator.unwrap(object)[1])
def ismodule(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.ismodule."""
return _inspect.ismodule(tf_decorator.unwrap(object)[1])
def isroutine(object): # pylint: disable=redefined-builtin
"""TFDecorator-aware replacement for inspect.isroutine."""
return _inspect.isroutine(tf_decorator.unwrap(object)[1])
def stack(context=1):
"""TFDecorator-aware replacement for inspect.stack."""
return _inspect.stack(context)[1:]