




"""simple docstring"""







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

import torch_xla.distributed.xla_multiprocessing as xmp





def      __snake_case (				):


    """simple docstring"""







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

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

    return parser.parse_args()





def      __snake_case (				):


    """simple docstring"""







    UpperCamelCase              =	parse_args()

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

    # Patch sys.argv
    UpperCamelCase              =	[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()







from math import pow, sqrt





def    __lowerCAmelCase   (    *__snake_case							):
     __lowerCAmelCase             =       len(__snake_case							) > 0 and all(value > 0.0 for value in values							)
     return result





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     return (
         round(sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case							)
         else ValueError("Input Error: Molar mass values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate * sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate / sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(molar_mass / pow(effusion_rate_a / effusion_rate_a       ,			2							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(pow(effusion_rate_a / effusion_rate_a       ,			2							) / molar_mass       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )






