



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

import torch_xla.distributed.xla_multiprocessing as xmp




def 	UpperCAmelCase   (						):
			A							:					Tuple              =						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=_lowerCamelCase ,    default=1 ,    help="Number of TPU cores to use (1 or 8)."    )

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

			return parser.parse_args()




def 	UpperCAmelCase   (						):
			A							:					str              =						parse_args()

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

			# 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()




from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
__SCREAMING_SNAKE_CASE           =  1.0_5_4_5_7_1_8_1_7e-3_4  # unit of ℏ : J * s

__SCREAMING_SNAKE_CASE           =  3e8  # unit of c : m * s^-1




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase    ):

			if (force, area, distance).count(0    ) != 1:
						raise ValueError("One and only one argument must be 0"    )
			if force < 0:
						raise ValueError("Magnitude of force can not be negative"    )
			if distance < 0:
						raise ValueError("Distance can not be negative"    )
			if area < 0:
						raise ValueError("Area can not be negative"    )
			if force == 0:
						A							:					int              =						(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
						    240 * (distance) ** 4
						)
						return {"force": force}
			elif area == 0:
						A							:					Tuple              =						(240 * force * (distance) ** 4) / (
						    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
						)
						return {"area": area}
			elif distance == 0:
						A							:					Dict              =						(
						    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
						) ** (1 / 4)
						return {"distance": distance}
			raise ValueError("One and only one argument must be 0"    )


# Run doctest
if __name__ == "__main__":
							import doctest

							doctest.testmod()