


'''simple docstring'''
def      a (     __a  )    ->      list[int]:



					'''simple docstring'''






					UpperCamelCase__  :Any				   =					len(__a  )
					for i in range(__a  ):
										for j in range(i + 1					,   __a  ):
															if numbers[j] < numbers[i]:
																				UpperCamelCase__   ,							UpperCamelCase__  :Any				   =					numbers[j], numbers[i]
					return numbers


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



'''simple docstring'''
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_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class   lowercase      (				unittest.TestCase   ):

		"""simple docstring"""

		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :Any				   =					inspect.getfile(accelerate.test_utils				)
							UpperCamelCase__  :Any				   =					os.path.sep.join(
							    mod_file.split(os.path.sep				)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']				)

							from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

							UpperCamelCase__  :List[str]				   =					test_metrics




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main       ,  num_processes=1				)




		@require_cpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							debug_launcher(self.test_metrics.main				)




		@require_single_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							self.test_metrics.main()




		@require_multi_gpu
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							print(F'''Found {torch.cuda.device_count()} devices.'''				)
							UpperCamelCase__  :Optional[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()				)