def 			UpperCamelCase__						(    A__   )       -> list:
				snake_case__ :     Optional[int] 							=				len(A__   )
				for cycle_start in range(0      ,			array_len - 1   ):
								snake_case__ :     int 							=				array[cycle_start]

								snake_case__ :     Tuple 							=				cycle_start
								for i in range(cycle_start + 1      ,			A__   ):
												if array[i] < item:
																pos += 1

								if pos == cycle_start:
												continue

								while item == array[pos]:
												pos += 1

								snake_case__ :     List[str] 							=				item, array[pos]
								while pos != cycle_start:
												snake_case__ :     Union[str, Any] 							=				cycle_start
												for i in range(cycle_start + 1      ,			A__   ):
																if array[i] < item:
																				pos += 1

												while item == array[pos]:
																pos += 1

												snake_case__ :     Optional[Any] 							=				item, array[pos]

				return array


if __name__ == "__main__":
		assert cycle_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
		assert cycle_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]



import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment





class 			__snake_case  (      unittest.TestCase     ):




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



									'''simple docstring'''







									snake_case__ :     List[Any] 							=				inspect.getfile(accelerate.test_utils		)
									snake_case__ :     Tuple 							=				os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ['scripts', 'test_sync.py']		)




					@require_cpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									debug_launcher(test_sync.main   ,	num_processes=1		)




					@require_cpu
					def       __a      (       self		)					->  Dict:



									'''simple docstring'''







									debug_launcher(test_sync.main		)




					@require_single_gpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									test_sync.main()




					@require_multi_gpu
					def       __a      (       self		)					->  str:



									'''simple docstring'''







									print(F"""Found {torch.cuda.device_count()} devices."""		)
									snake_case__ :     Any 							=				['torchrun', F"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
									with patch_environment(omp_num_threads=1		):
													execute_subprocess_async(__UpperCamelCase   ,	env=os.environ.copy()		)


