

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

import torch_xla.distributed.xla_multiprocessing as xmp

def 						UpperCamelCase					()     ->      int:
	A__							:    Optional[int]        =		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=SCREAMING_SNAKE_CASE__    ,      default=1    ,      help="""Number of TPU cores to use (1 or 8)."""					)

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

	return parser.parse_args()

def 						UpperCamelCase					()     ->      Optional[int]:
	A__							:    str        =		parse_args()

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










def 			A__							(    SCREAMING_SNAKE_CASE__ = 200)   ->    int:
  __snake_case:						Optional[int]   =						[1, 2, 5, 10, 20, 50, 100, 200]
  __snake_case:						List[Any]   =						[0] * (pence + 1)
  __snake_case:						int   =						1  # base case: 1 way to make 0 pence

  for coin in coins:
    for i in range(SCREAMING_SNAKE_CASE__					,					pence + 1					,					1):
      number_of_ways[i] += number_of_ways[i - coin]
  return number_of_ways[pence]


if __name__ == "__main__":
      assert solution(200) == 73_682






