


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def UpperCamelCase_				(				)	->   int:
      a__	:  Any     =   HfArgumentParser(__a      )
      a__	:  Any     =   parser.parse_args_into_dataclasses()[0]
      a__	:  Optional[int]     =   TensorFlowBenchmark(args=__a      )
      try:
            a__	:  Optional[int]     =   parser.parse_args_into_dataclasses()[0]
      except ValueError as e:
            a__	:  Tuple     =   "Arg --no_{0} is no longer used, please use --no-{0} instead."
            a__	:  List[Any]     =   " ".join(str(__a      ).split(" "      )[:-1]      )
            a__	:  str     =   ""
            a__	:  List[Any]     =   eval(str(__a      ).split(" "      )[-1]      )
            a__	:  List[str]     =   []
            for arg in depreciated_args:
                  # arg[2:] removes '--'
                  if arg[2:] in TensorFlowBenchmark.deprecated_args:
                        # arg[5:] removes '--no_'
                        full_error_msg += arg_error_msg.format(arg[5:]      )
                  else:
                        wrong_args.append(__a      )
            if len(__a      ) > 0:
                  a__	:  Tuple     =   full_error_msg + begin_error_msg + str(__a      )
            raise ValueError(__a      )
      benchmark.run()


if __name__ == "__main__":
    main()






'''simple docstring'''

from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *




