






"""simple docstring"""
def 							lowercase__		(				lowerCamelCase,	lowerCamelCase					):
				_SCREAMING_SNAKE_CASE      :		Union[str, Any]							=						float()
				try:
								_SCREAMING_SNAKE_CASE      :		Tuple							=						mass * acceleration
				except Exception:
								return -0.0
				return force


if __name__ == "__main__":
			import doctest

			# run doctest
			doctest.testmod()

			# demo
			lowerCAmelCase__							= 12.5
			lowerCAmelCase__							= 10
			lowerCAmelCase__							= newtons_second_law_of_motion(mass, acceleration)
			print('The force is ', force, 'N')









"""simple docstring"""
import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCAmelCase__							= logging.getLogger(__name__)





def 							lowercase__		(				):
				_SCREAMING_SNAKE_CASE      :		Tuple							=						ArgumentParser()
				_SCREAMING_SNAKE_CASE		,	_SCREAMING_SNAKE_CASE      :		Union[str, Any]							=						parser.parse_known_args()
				for arg in unknown:
								if arg.startswith(('-', '--')					):
												parser.add_argument(arg.split('='					)[0]					)

				return parser.parse_args()





def 							lowercase__		(				):
				_SCREAMING_SNAKE_CASE      :		Tuple							=						parse_args()
				_SCREAMING_SNAKE_CASE      :		List[Any]							=						8_888
				_SCREAMING_SNAKE_CASE      :		Optional[int]							=						int(os.environ['SM_NUM_GPUS']					)
				_SCREAMING_SNAKE_CASE      :		Any							=						json.loads(os.environ['SM_HOSTS']					)
				_SCREAMING_SNAKE_CASE      :		List[str]							=						len(lowerCamelCase					)
				_SCREAMING_SNAKE_CASE      :		Dict							=						os.environ['SM_CURRENT_HOST']
				_SCREAMING_SNAKE_CASE      :		List[str]							=						hosts.index(lowerCamelCase					)
				_SCREAMING_SNAKE_CASE      :		Optional[int]							=						'INFO'

				if num_nodes > 1:
								_SCREAMING_SNAKE_CASE      :		Dict							=						f"""python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {"".join(["nested fstring" for parameter,value in args.__dict__.items()]					)}"""
				else:
								_SCREAMING_SNAKE_CASE      :		Union[str, Any]							=						f"""python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {"".join(["nested fstring" for parameter,value in args.__dict__.items()]					)}"""
				try:
								subprocess.run(lowerCamelCase,	shell=lowerCamelCase					)
				except Exception as e:
								logger.info(lowerCamelCase					)


if __name__ == "__main__":
			main()

