






'''simple docstring'''




def 	__UpperCAmelCase       ( __magic_name__ = "The quick brown fox jumps over the lazy dog"     ,)->    bool:



			"""simple docstring"""



			snake_case_				:					Any   =       set()

			# Replace all the whitespace in our sentence
			snake_case_				:					Any   =       input_str.replace(" "     ,""						)
			for alpha in input_str:
						if "a" <= alpha.lower() <= "z":
									frequency.add(alpha.lower()						)
			return len(__magic_name__						) == 26

def 	__UpperCAmelCase       ( __magic_name__ = "The quick brown fox jumps over the lazy dog"     ,)->    bool:



			"""simple docstring"""



			snake_case_				:					int   =       [False] * 26
			for char in input_str:
						if char.islower():
									snake_case_				:					Union[str, Any]   =       True
						elif char.isupper():
									snake_case_				:					str   =       True
			return all(__magic_name__						)

def 	__UpperCAmelCase       ( __magic_name__ = "The quick brown fox jumps over the lazy dog"     ,)->    bool:



			"""simple docstring"""



			return len({char for char in input_str.lower() if char.isalpha()}						) == 26

def 	__UpperCAmelCase       ( )->    None:



			"""simple docstring"""



			from timeit import timeit

			snake_case_				:					Any   =       "from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"
			print(timeit("is_pangram()"     ,setup=__magic_name__						)						)
			print(timeit("is_pangram_faster()"     ,setup=__magic_name__						)						)
			print(timeit("is_pangram_fastest()"     ,setup=__magic_name__						)						)
			# 5.348480500048026, 2.6477354579837993, 1.8470395830227062
			# 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		benchmark()












'''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    A_	(unittest.TestCase							):
							"""simple docstring"""




							def 							_A	(		self			:str				)				->  Union[str, Any]:


										'''simple docstring'''




										snake_case_				:					Union[str, Any]   =       torch.nn.Linear(10       ,							10				)
										snake_case_				:					Dict   =       torch.optim.SGD(model.parameters()       ,							0.1				)
										snake_case_				:					Tuple   =       Accelerator()
										snake_case_				:					Optional[Any]   =       accelerator.prepare(lowerCAmelCase__				)
										try:
													pickle.loads(pickle.dumps(lowerCAmelCase__				)				)
										except Exception as e:
													self.fail(F'''Accelerated optimizer pickling failed with {e}'''				)
										AcceleratorState._reset_state()




