




'''simple docstring'''






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


A_ 			=		logging.getLogger(__name__)






def 		UpperCamelCase__			(		)						->      str:
      snake_case__					:      Tuple  			=						ArgumentParser()
      snake_case__			,       snake_case__					:      Dict  			=						parser.parse_known_args()
      for arg in unknown:
            if arg.startswith(('-', '--')		):
                  parser.add_argument(arg.split('='		)[0]		)

      return parser.parse_args()






def 		UpperCamelCase__			(		)						->      List[Any]:
      snake_case__					:      Union[str, Any]  			=						parse_args()
      snake_case__					:      str  			=						8888
      snake_case__					:      Any  			=						int(os.environ['SM_NUM_GPUS']		)
      snake_case__					:      List[Any]  			=						json.loads(os.environ['SM_HOSTS']		)
      snake_case__					:      Dict  			=						len(snake_case__		)
      snake_case__					:      int  			=						os.environ['SM_CURRENT_HOST']
      snake_case__					:      Union[str, Any]  			=						hosts.index(snake_case__		)
      snake_case__					:      Optional[int]  			=						'INFO'

      if num_nodes > 1:
            snake_case__					:      Optional[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:
            snake_case__					:      List[str]  			=						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(snake_case__							,			shell=snake_case__		)
      except Exception as e:
            logger.info(snake_case__		)


if __name__ == "__main__":
      main()







'''simple docstring'''






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE = 1000		)						->      int:
      snake_case__					:      List[str]  			=						0
      snake_case__					:      int  			=						(n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case__					:      Optional[Any]  			=						(n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case__					:      Tuple  			=						(n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


if __name__ == "__main__":
      print(F'{solution() = }')
