

'''simple docstring'''





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

import torch_xla.distributed.xla_multiprocessing as xmp






def 				_lowerCAmelCase			(   )				->  List[str]:
						lowercase :							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=__magic_name__   , default=1   , help='''Number of TPU cores to use (1 or 8).'''						)

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

						return parser.parse_args()






def 				_lowerCAmelCase			(   )				->  List[str]:
						lowercase :							Dict    		=parse_args()

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

						# Patch sys.argv
						lowercase :							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'''





from __future__ import annotations






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Any    		=0.0_0
						lowercase :							Tuple    		=0
						for resistor in resistors:
												if resistor <= 0:
																		lowercase :							Dict    		=f'''Resistor at index {index} has a negative or zero value!'''
																		raise ValueError(__magic_name__						)
												first_sum += 1 / float(__magic_name__						)
												index += 1
						return 1 / first_sum






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Optional[Any]    		=0.0_0
						lowercase :							int    		=0
						for resistor in resistors:
												sum_r += resistor
												if resistor < 0:
																		lowercase :							Tuple    		=f'''Resistor at index {index} has a negative value!'''
																		raise ValueError(__magic_name__						)
												index += 1
						return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()





