


'''simple docstring'''

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


__lowercase:						str  		=   logging.getLogger(__name__)



def 				SCREAMING_SNAKE_CASE__(						)						->    str:





   '''simple docstring'''







   UpperCamelCase__         =  ArgumentParser()
   UpperCamelCase__         =  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__(						)						->    Union[str, Any]:





   '''simple docstring'''







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

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


if __name__ == "__main__":
       main()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


lowerCAmelCase__       :	List[Any]     				={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=['MBart50Tokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Any     				=['MBart50TokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa import MBartaaTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
				import sys

				lowerCAmelCase__       :	Optional[int]     				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





