

import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCAmelCase							:						Dict     			=		logging.getLogger(__name__)







def     A_   (					):
						SCREAMING_SNAKE_CASE_:				List[Any]							= ArgumentParser()
						SCREAMING_SNAKE_CASE_	,					SCREAMING_SNAKE_CASE_:				Optional[int]							= parser.parse_known_args()
						for arg in unknown:
												if arg.startswith(("-", "--")					):
																		parser.add_argument(arg.split("="					)[0]					)

						return parser.parse_args()







def     A_   (					):
						SCREAMING_SNAKE_CASE_:				List[str]							= parse_args()
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= 88_88
						SCREAMING_SNAKE_CASE_:				Union[str, Any]							= int(os.environ["SM_NUM_GPUS"]					)
						SCREAMING_SNAKE_CASE_:				List[str]							= json.loads(os.environ["SM_HOSTS"]					)
						SCREAMING_SNAKE_CASE_:				Dict							= len(_UpperCAmelCase					)
						SCREAMING_SNAKE_CASE_:				List[str]							= os.environ["SM_CURRENT_HOST"]
						SCREAMING_SNAKE_CASE_:				int							= hosts.index(_UpperCAmelCase					)
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= "INFO"

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


if __name__ == "__main__":
						main()









def     A_   (					_UpperCAmelCase					):
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= []
						SCREAMING_SNAKE_CASE_:				Any							= 1

						for i in range(len(_UpperCAmelCase					)					):
												if i + 1 < len(_UpperCAmelCase					) and text[i] == text[i + 1]:
																		count += 1
												else:
																		encoded.append((text[i], count)					)
																		SCREAMING_SNAKE_CASE_:				List[Any]							= 1

						return encoded







def     A_   (					_UpperCAmelCase					):
						return "".join(char * length for char, length in encoded					)


if __name__ == "__main__":
						from doctest import testmod

						testmod(name="""run_length_encode""", verbose=True)
						testmod(name="""run_length_decode""", verbose=True)






