Projekt_AI-Automatyczny_saper/venv/Lib/site-packages/torch/_six.py
2021-06-01 17:38:31 +02:00

76 lines
2.7 KiB
Python

# Copyright (c) 2010-2017 Benjamin Peterson
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import builtins
import collections.abc
import io
import math
import sys
import types
import queue # noqa: F401
inf = math.inf
nan = math.nan
string_classes = (str, bytes)
int_classes = int
FileNotFoundError = builtins.FileNotFoundError
StringIO = io.StringIO
container_abcs = collections.abc
PY37 = sys.version_info[0] == 3 and sys.version_info[1] >= 7
def with_metaclass(meta: type, *bases) -> type:
"""Create a base class with a metaclass."""
# This requires a bit of explanation: the basic idea is to make a dummy
# metaclass for one level of class instantiation that replaces itself with
# the actual metaclass.
class metaclass(meta): # type: ignore[misc, valid-type]
def __new__(cls, name, this_bases, d):
return meta(name, bases, d)
@classmethod
def __prepare__(cls, name, this_bases):
return meta.__prepare__(name, bases)
return type.__new__(metaclass, 'temporary_class', (), {})
# Gets a function from the name of a method on a type
def get_function_from_type(cls, name):
return getattr(cls, name, None)
# The codes below is not copied from the six package, so the copyright
# declaration at the beginning does not apply.
#
# Copyright(c) PyTorch contributors
#
def istuple(obj) -> bool:
# Usually instances of PyStructSequence is also an instance of tuple
# but in some py2 environment it is not, so we have to manually check
# the name of the type to determine if it is a namedtupled returned
# by a pytorch operator.
t = type(obj)
return isinstance(obj, tuple) or t.__module__ == 'torch.return_types'
def bind_method(fn, obj, obj_type):
return types.MethodType(fn, obj)