






"""simple docstring"""



def 						lowercase    (				__snake_case				: str		,					__snake_case				: str	):
		lowercase_ : int							       =   len(__snake_case	)
		lowercase_ : int							       =   len(__snake_case	)
		lowercase_ : int							       =   (
		    first_str_length if first_str_length > second_str_length else second_str_length
		)
		lowercase_ : list							       =   []
		for char_count in range(__snake_case	):
				if char_count < first_str_length:
						output_list.append(first_str[char_count]	)
				if char_count < second_str_length:
						output_list.append(second_str[char_count]	)
		return "".join(__snake_case	)


if __name__ == "__main__":
						print(alternative_string_arrange('''AB''', '''XYZ'''), end=''' ''')





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        UpperCAmelCase_			( unittest.TestCase     ):


  '''simple docstring'''







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







    """simple docstring"""






    __magic_name__				     =       torch.nn.Linear(10			,							10    )
    __magic_name__				     =       torch.optim.SGD(model.parameters()			,							0.1    )
    __magic_name__				     =       Accelerator()
    __magic_name__				     =       accelerator.prepare(UpperCamelCase__    )
    try:
      pickle.loads(pickle.dumps(UpperCamelCase__    )    )
    except Exception as e:
      self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
    AcceleratorState._reset_state()

