






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


__a :    Optional[Any]								=				logging.getLogger(__name__)



def      _SCREAMING_SNAKE_CASE  (	)  -> Dict:





				"""simple docstring"""

				__A             =		ArgumentParser()
				__A      ,		__A             =		parser.parse_known_args()
				for arg in unknown:
								if arg.startswith(("""-""", """--""")      ):
												parser.add_argument(arg.split("""="""      )[0]      )

				return parser.parse_args()



def      _SCREAMING_SNAKE_CASE  (	)  -> Dict:





				"""simple docstring"""

				__A             =		parse_args()
				__A             =		8_8_8_8
				__A             =		int(os.environ["""SM_NUM_GPUS"""]      )
				__A             =		json.loads(os.environ["""SM_HOSTS"""]      )
				__A             =		len(__lowercase      )
				__A             =		os.environ["""SM_CURRENT_HOST"""]
				__A             =		hosts.index(__lowercase      )
				__A             =		"""INFO"""

				if num_nodes > 1:
								__A             =		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:
								__A             =		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(__lowercase     ,			shell=__lowercase      )
				except Exception as e:
								logger.info(__lowercase      )


if __name__ == "__main__":
		main()












def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     int     ,			__lowercase				:     int      )  -> int:





    """simple docstring"""

    __A             =		1.0
    for i in range(1     ,			r + 1      ):
        ret *= (n + 1 - i) / i
    return round(__lowercase      )



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     int      )  -> int:





    """simple docstring"""

    return choose(8 + n     ,			__lowercase      ) + choose(9 + n     ,			__lowercase      ) - 1_0



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     int      )  -> int:





    """simple docstring"""

    return sum(non_bouncy_exact(__lowercase      ) for i in range(1     ,			n + 1      )      )



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     int = 1_0_0      )  -> int:





    """simple docstring"""

    return non_bouncy_upto(__lowercase      )


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




