


"""simple docstring"""




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

import torch_xla.distributed.xla_multiprocessing as xmp


def     lowercase			()   ->						int:
						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=SCREAMING_SNAKE_CASE_ ,			default=1 ,			help='Number of TPU cores to use (1 or 8).'  )

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

						return parser.parse_args()


def     lowercase			()   ->						Any:
						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(SCREAMING_SNAKE_CASE_  )

						# 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     lowercase			(SCREAMING_SNAKE_CASE_		:				int  )   ->						str:
						SCREAMING_SNAKE_CASE													=					int(SCREAMING_SNAKE_CASE_  )
						if decimal in (0, 1):  # Exit cases for the recursion
												return str(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					divmod(SCREAMING_SNAKE_CASE_ ,			2  )
						return binary_recursive(SCREAMING_SNAKE_CASE_  ) + str(SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				str  )   ->						str:
						SCREAMING_SNAKE_CASE													=					str(SCREAMING_SNAKE_CASE_  ).strip()
						if not number:
												raise ValueError('No input value was provided'  )
						SCREAMING_SNAKE_CASE													=					'-' if number.startswith('-'  ) else ''
						SCREAMING_SNAKE_CASE													=					number.lstrip('-'  )
						if not number.isnumeric():
												raise ValueError('Input value is not an integer'  )
						return F'{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_  )  )}'


if __name__ == "__main__":
	from doctest import testmod

	testmod()


