



'''simple docstring'''






def     snake_case_					(     lowerCAmelCase_		)->		int:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		):
              raise TypeError("""only integers accepted as input"""		)
       else:
              _UpperCAmelCase  :						Optional[Any]			     = str(abs(lowerCAmelCase_		)		)
              _UpperCAmelCase  :						List[str]			     = [list(lowerCAmelCase_		) for char in range(len(lowerCAmelCase_		)		)]
              for index in range(len(lowerCAmelCase_		)		):
                     num_transpositions[index].pop(lowerCAmelCase_		)
              return max(
                  int("""""".join(list(lowerCAmelCase_		)		)		) for transposition in num_transpositions		)


if __name__ == "__main__":
   __import__("""doctest""").testmod()








'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_							: Optional[int]						 =	{"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							: str						 =	[
       """IBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """IBertForMaskedLM""",
       """IBertForMultipleChoice""",
       """IBertForQuestionAnswering""",
       """IBertForSequenceClassification""",
       """IBertForTokenClassification""",
       """IBertModel""",
       """IBertPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_ibert import (
          IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          IBertForMaskedLM,
          IBertForMultipleChoice,
          IBertForQuestionAnswering,
          IBertForSequenceClassification,
          IBertForTokenClassification,
          IBertModel,
          IBertPreTrainedModel,
      )

else:
   import sys

   A_							: str						 =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



