"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__:Optional[Any]									=			{
    """configuration_luke""": ["""LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LukeConfig"""],
    """tokenization_luke""": ["""LukeTokenizer"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE__:Dict									=			[
       """LUKE_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """LukeForEntityClassification""",
       """LukeForEntityPairClassification""",
       """LukeForEntitySpanClassification""",
       """LukeForMultipleChoice""",
       """LukeForQuestionAnswering""",
       """LukeForSequenceClassification""",
       """LukeForTokenClassification""",
       """LukeForMaskedLM""",
       """LukeModel""",
       """LukePreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
   from .tokenization_luke import LukeTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_luke import (
          LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
          LukeForEntityClassification,
          LukeForEntityPairClassification,
          LukeForEntitySpanClassification,
          LukeForMaskedLM,
          LukeForMultipleChoice,
          LukeForQuestionAnswering,
          LukeForSequenceClassification,
          LukeForTokenClassification,
          LukeModel,
          LukePreTrainedModel,
      )

else:
   import sys

   SCREAMING_SNAKE_CASE__:List[Any]									=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__ = " "		):
      UpperCamelCase__     : Optional[int]											=					[]

      UpperCamelCase__     : int											=					0
      for index, char in enumerate(UpperCamelCase__		):
            if char == separator:
                  split_words.append(string[last_index:index]		)
                  UpperCamelCase__     : int											=					index + 1
            elif index + 1 == len(UpperCamelCase__		):
                  split_words.append(string[last_index : index + 1]		)
      return split_words


if __name__ == "__main__":
    from doctest import testmod

    testmod()


