






'''simple docstring'''

import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu






@require_cpu
class 							__magic_name__     (	unittest.TestCase				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self       )						->  str:
							lowercase_      :   int        =			torch.nn.Linear(10  ,      10       )
							lowercase_      :   int        =			torch.optim.SGD(model.parameters()  ,      0.1       )
							lowercase_      :   Optional[Any]        =			Accelerator()
							lowercase_      :   Optional[Any]        =			accelerator.prepare(_lowercase       )
							try:
													pickle.loads(pickle.dumps(_lowercase       )       )
							except Exception as e:
													self.fail(f"Accelerated optimizer pickling failed with {e}"       )
							AcceleratorState._reset_state()








'''simple docstring'''

import os
from distutils.util import strtobool






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	int							)			->			Any:





						"""simple docstring"""
						for e in env_keys:
												lowercase_      :   Optional[Any]        =			int(os.environ.get(a						,			-1							)							)
												if val >= 0:
																		return val
						return default






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict=False							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[int]        =			os.environ.get(a						,			str(a							)							)
						return strtobool(a							) == 1  # As its name indicates `strtobool` actually returns an int...






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict="no"							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.environ.get(a						,			str(a							)							)
						return value
