





"""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					(       )       ->List[str]:



    '''simple docstring'''







    __A   :						List[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 		__lowercase					(       )       ->int:



    '''simple docstring'''







    __A   :						str									=					parse_args()

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

    # Patch sys.argv
    __A   :						Tuple									=					[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					(       )       ->Tuple:



    '''simple docstring'''







    __A   :						str									=					[]
    __A   :						List[Any]									=					1

    while len(snake_case_						) < 1e6:
        constant.append(str(snake_case_						)						)
        i += 1

    __A   :						Any									=					''''''.join(snake_case_						)

    return (
        int(constant[0]						)
        * int(constant[9]						)
        * int(constant[99]						)
        * int(constant[999]						)
        * int(constant[9999]						)
        * int(constant[99999]						)
        * int(constant[999999]						)
    )


if __name__ == "__main__":
       print(solution())




