code: 
  
  
  
  
  
  import json
  import logging
  import os
  import subprocess
  from argparse import ArgumentParser
  
  
  lowerCAmelCase_   =   logging.getLogger(__name__)
  
  
  
  
  def 						A_			(  )			->						str:
         _snake_case      :							Dict     				=						ArgumentParser()
         _snake_case				,    _snake_case      :							int     				=						parser.parse_known_args()
         for arg in unknown:
                if arg.startswith(('''-''', '''--''')  ):
                       parser.add_argument(arg.split('''='''  )[0]  )
  
         return parser.parse_args()
  
  
  
  
  def 						A_			(  )			->						Tuple:
         _snake_case      :							Dict     				=						parse_args()
         _snake_case      :							List[Any]     				=						8888
         _snake_case      :							Tuple     				=						int(os.environ['''SM_NUM_GPUS''']  )
         _snake_case      :							Union[str, Any]     				=						json.loads(os.environ['''SM_HOSTS''']  )
         _snake_case      :							Tuple     				=						len(lowercase_  )
         _snake_case      :							Optional[Any]     				=						os.environ['''SM_CURRENT_HOST''']
         _snake_case      :							Union[str, Any]     				=						hosts.index(lowercase_  )
         _snake_case      :							Union[str, Any]     				=						'''INFO'''
  
         if num_nodes > 1:
                _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:
                _snake_case      :							int     				=						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(lowercase_      ,		shell=lowercase_  )
         except Exception as e:
                logger.info(lowercase_  )
  
  
  if __name__ == "__main__":
     main()
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  def 						A_			(  lowercase_  )			->						list:
         if len(lowercase_  ) <= 1:
                return data
         else:
                return [
                    *quick_sort([e for e in data[1:] if e <= data[0]]  ),
                    data[0],
                    *quick_sort([e for e in data[1:] if e > data[0]]  ),
                ]
  
  
  if __name__ == "__main__":
     import doctest
  
     doctest.testmod()
  
  
  
  
  
  
  