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


UpperCamelCase													=		logging.getLogger(__name__)

def     lowercase_       (    ):
    lowercase__				:     List[Any]					      =       ArgumentParser()
    lowercase__				:     Dict					      =       parser.parse_known_args()
    for arg in unknown:
        if arg.startswith(("-", "--")):
            parser.add_argument(arg.split("=")[0])

    return parser.parse_args()

def     lowercase_       (    ):
    lowercase__				:     int					      =       parse_args()
    lowercase__				:     List[str]					      =       8888
    lowercase__				:     Tuple					      =       int(os.environ["SM_NUM_GPUS"])
    lowercase__				:     Optional[Any]					      =       json.loads(os.environ["SM_HOSTS"])
    lowercase__				:     str					      =       len(_lowerCamelCase)
    lowercase__				:     Any					      =       os.environ["SM_CURRENT_HOST"]
    lowercase__				:     Optional[Any]					      =       hosts.index(_lowerCamelCase)
    lowercase__				:     Optional[int]					      =       "INFO"

    if num_nodes > 1:
        lowercase__				:     Union[str, Any]					      =       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:
        lowercase__				:     Dict					      =       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()




from typing import Callable

def     lowercase_       (    _lowerCamelCase							: Callable):

    def wrapper(_lowerCamelCase							: str):
        lowercase__				:     Tuple					      =       function_with_docstring.__doc__
        return target_function

    return wrapper



