
"""simple docstring"""





import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp
def 				A_  ():

					'''simple docstring'''





					A_								=    ArgumentParser(
					    description=(
					        "PyTorch TPU distributed training launch "
					        "helper utility that will spawn up "
					        "multiple distributed processes"
					    )					)

					# Optional arguments for the launch helper
					parser.add_argument("--num_cores"					, type=__a					, default=1					, help="Number of TPU cores to use (1 or 8)."					)

					# positional
					parser.add_argument(
					    "training_script"					, type=__a					, help=(
					        "The full path to the single TPU training "
					        "program/script to be launched in parallel, "
					        "followed by all the arguments for the "
					        "training script"
					    )					, )

					# rest from the training program
					parser.add_argument("training_script_args"					, nargs=__a					)

					return parser.parse_args()
def 				A_  ():

					'''simple docstring'''





					A_								=    parse_args()

					# Import training_script as a module.
					A_								=    Path(args.training_script					)
					sys.path.append(str(script_fpath.parent.resolve()					)					)
					A_								=    script_fpath.stem
					A_								=    importlib.import_module(__a					)

					# Patch sys.argv
					A_								=    [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores					)]
					xmp.spawn(mod._mp_fn					, args=()					, nprocs=args.num_cores					)


if __name__ == "__main__":
		main()






"""simple docstring"""





def 				A_  (__a					):

					'''simple docstring'''





					A_								=    len(__a					)
					while cur > 1:
										# Find the maximum number in arr
										A_								=    arr.index(max(arr[0:cur]					)					)
										# Reverse from 0 to mi
										A_								=    arr[mi::-1] + arr[mi + 1 : len(__a					)]
										# Reverse whole list
										A_								=    arr[cur - 1 :: -1] + arr[cur : len(__a					)]
										cur -= 1
					return arr


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




