





'''simple docstring'''




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

import torch_xla.distributed.xla_multiprocessing as xmp






def 			_lowerCAmelCase     (    )	->	Optional[Any]:
     __A		:					Any						=			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=__snake_case					,				default=1					,				help='Number of TPU cores to use (1 or 8).'     )

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

     return parser.parse_args()






def 			_lowerCAmelCase     (    )	->	Any:
     __A		:					str						=			parse_args()

     # Import training_script as a module.
     __A		:					Dict						=			Path(args.training_script     )
     sys.path.append(str(script_fpath.parent.resolve()     )     )
     __A		:					List[str]						=			script_fpath.stem
     __A		:					Union[str, Any]						=			importlib.import_module(__snake_case     )

     # Patch sys.argv
     __A		:					int						=			[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 			_lowerCAmelCase     (    __snake_case    :					str					,				__snake_case    :					str     )	->	int:
     if len(__snake_case     ) != len(__snake_case     ):
          raise ValueError('String lengths must match!'     )

     __A		:					Optional[Any]						=			0

     for chara, chara in zip(__snake_case					,				__snake_case     ):
          if chara != chara:
               count += 1

     return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()