
from __future__ import annotations




def 				a						(							snake_case__:					list						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


				'''simple docstring'''
				lowercase_       =					[]
				lowercase_  ,	lowercase_       =					input_list[low:mid], input_list[mid : high + 1]
				while left and right:
								result.append((left if left[0] <= right[0] else right).pop(0					)					)
				lowercase_       =					result + left + right
				return input_list




def 				a						(							snake_case__:					list					):


				'''simple docstring'''
				if len(snake_case__					) <= 1:
								return input_list
				lowercase_       =					list(snake_case__					)

				# iteration for two-way merging
				lowercase_       =					2
				while p <= len(snake_case__					):
								# getting low, high and middle value for merge-sort of single list
								for i in range(0						,   len(snake_case__					)						,   snake_case__					):
												lowercase_       =					i
												lowercase_       =					i + p - 1
												lowercase_       =					(low + high + 1) // 2
												lowercase_       =					merge(snake_case__						,   snake_case__						,   snake_case__						,   snake_case__					)
								# final merge of last two parts
								if p * 2 >= len(snake_case__					):
												lowercase_       =					i
												lowercase_       =					merge(snake_case__						,   0						,   snake_case__						,   len(snake_case__					) - 1					)
												break
								p *= 2

				return input_list


if __name__ == "__main__":
						__a  			=					input('Enter numbers separated by a comma:\n').strip()
						if user_input == "":
												__a  			=					[]
						else:
												__a  			=					[int(item.strip()) for item in user_input.split(',')]
						print(iter_merge_sort(unsorted))








'''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 		UpperCAmelCase_      (  unittest.TestCase		):





     def 							__UpperCAmelCase      ( self       :      str    )				->  List[Any]:
        lowerCAmelCase     =			torch.nn.Linear(1_0    ,      1_0    )
        lowerCAmelCase     =			torch.optim.SGD(model.parameters()    ,      0.1    )
        lowerCAmelCase     =			Accelerator()
        lowerCAmelCase     =			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()





