


'''simple docstring'''
import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCamelCase				:   int      				=  logging.getLogger(__name__)


def  _lowerCAmelCase      (		)   ->    Optional[Any]:
     """simple docstring"""




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

     return parser.parse_args()


def  _lowerCAmelCase      (		)   ->    List[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE												=parse_args()
     _SCREAMING_SNAKE_CASE												=88_88
     _SCREAMING_SNAKE_CASE												=int(os.environ['SM_NUM_GPUS']       )
     _SCREAMING_SNAKE_CASE												=json.loads(os.environ['SM_HOSTS']       )
     _SCREAMING_SNAKE_CASE												=len(_UpperCamelCase       )
     _SCREAMING_SNAKE_CASE												=os.environ["""SM_CURRENT_HOST"""]
     _SCREAMING_SNAKE_CASE												=hosts.index(_UpperCamelCase       )
     _SCREAMING_SNAKE_CASE												="""INFO"""

     if num_nodes > 1:
          _SCREAMING_SNAKE_CASE												=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												=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()



'''simple docstring'''
lowerCamelCase				:   int      				=  {
    0: "underwear",
    1: "pants",
    2: "belt",
    3: "suit",
    4: "shoe",
    5: "socks",
    6: "shirt",
    7: "tie",
    8: "watch",
}

lowerCamelCase				:   Union[str, Any]      				=  [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

lowerCamelCase				:   int      				=  [0 for x in range(len(graph))]
lowerCamelCase				:   Optional[Any]      				=  []


def  _lowerCAmelCase      (		_UpperCamelCase		:  List[str]							,				_UpperCamelCase		:  Union[str, Any]       )   ->    Union[str, Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE												=1
     while stack:
          _SCREAMING_SNAKE_CASE												=stack.pop()
          print(_UpperCamelCase							,				clothes[current_clothing]       )
          order += 1


def  _lowerCAmelCase      (		_UpperCamelCase		:  str							,				_UpperCamelCase		:  Optional[Any]							,				_UpperCamelCase		:  Dict       )   ->    Optional[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE												=1
     for v in graph[u]:
          if not visited[v]:
               depth_first_search(_UpperCamelCase							,				_UpperCamelCase							,				_UpperCamelCase       )

     stack.append(_UpperCamelCase       )


def  _lowerCAmelCase      (		_UpperCamelCase		:  Dict							,				_UpperCamelCase		:  List[str]       )   ->    Optional[int]:
     """simple docstring"""




     for v in range(len(_UpperCamelCase       )       ):
          if not visited[v]:
               depth_first_search(_UpperCamelCase							,				_UpperCamelCase							,				_UpperCamelCase       )


if __name__ == "__main__":
     topological_sort(graph, visited)
     print(stack)
     print_stack(stack, clothes)
