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

import torch_xla.distributed.xla_multiprocessing as xmp



def 		lowercase_    (     )							->							Any:
    """simple docstring"""

    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=A__				,	default=1				,	help="Number of TPU cores to use (1 or 8)."	)

    # positional
    parser.add_argument(
        "training_script"				,	type=A__				,	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=A__	)

    return parser.parse_args()



def 		lowercase_    (     )							->							Optional[int]:
    """simple docstring"""

    snake_case				  =      parse_args()

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

    # Patch sys.argv
    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()








import os

# Precomputes a list of the 100 first triangular numbers
_A						      =				[int(0.5 * n * (n + 1)) for n in range(1, 1_01)]



def 		lowercase_    (     )							->							Tuple:
    """simple docstring"""

    snake_case				  =      os.path.dirname(os.path.realpath(A__	)	)
    snake_case				  =      os.path.join(A__				,	"words.txt"	)

    snake_case				  =      ""
    with open(A__	) as f:
        snake_case				  =      f.readline()

    snake_case				  =      [word.strip("\""	) for word in words.strip("\r\n"	).split(","	)]
    snake_case				  =      [
        word
        for word in [sum(ord(A__	) - 64 for x in word	) for word in words]
        if word in TRIANGULAR_NUMBERS
    ]
    return len(A__	)


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

