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

import torch_xla.distributed.xla_multiprocessing as xmp






def 				_lowercase				(	)						->						Tuple:
					'''simple docstring'''


					SCREAMING_SNAKE_CASE__						=					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=lowerCamelCase_      ,      default=1      ,      help='Number of TPU cores to use (1 or 8).'						)

					# positional
					parser.add_argument(
					    'training_script'      ,      type=lowerCamelCase_      ,      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=lowerCamelCase_						)

					return parser.parse_args()






def 				_lowercase				(	)						->						Union[str, Any]:
					'''simple docstring'''


					SCREAMING_SNAKE_CASE__						=					parse_args()

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

					# Patch sys.argv
					SCREAMING_SNAKE_CASE__						=					[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        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 if height >= 1:
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)
  move_disk(lowerCamelCase_      ,			lowerCamelCase_			)
  move_tower(height - 1      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 print("moving disk from"      ,			lowerCamelCase_      ,			"to"      ,			lowerCamelCase_			)


def        UpperCAmelCase_ (  ):







 """simple docstring"""


 lowerCAmelCase__     :   List[str]     		=	int(input("Height of hanoi: "			).strip()			)
 move_tower(lowerCamelCase_      ,			"A"      ,			"B"      ,			"C"			)


if __name__ == "__main__":
     main()





