






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase__							=     {"""configuration_xlnet""": ["""XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLNetConfig"""]}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase__							=     ["""XLNetTokenizer"""]

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase__							=     ["""XLNetTokenizerFast"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase__							=     [
         """XLNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """XLNetForMultipleChoice""",
         """XLNetForQuestionAnswering""",
         """XLNetForQuestionAnsweringSimple""",
         """XLNetForSequenceClassification""",
         """XLNetForTokenClassification""",
         """XLNetLMHeadModel""",
         """XLNetModel""",
         """XLNetPreTrainedModel""",
         """load_tf_weights_in_xlnet""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase__							=     [
         """TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFXLNetForMultipleChoice""",
         """TFXLNetForQuestionAnsweringSimple""",
         """TFXLNetForSequenceClassification""",
         """TFXLNetForTokenClassification""",
         """TFXLNetLMHeadModel""",
         """TFXLNetMainLayer""",
         """TFXLNetModel""",
         """TFXLNetPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_xlnet import XLNetTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_xlnet_fast import XLNetTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_xlnet import (
              XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              XLNetForMultipleChoice,
              XLNetForQuestionAnswering,
              XLNetForQuestionAnsweringSimple,
              XLNetForSequenceClassification,
              XLNetForTokenClassification,
              XLNetLMHeadModel,
              XLNetModel,
              XLNetPreTrainedModel,
              load_tf_weights_in_xlnet,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_xlnet import (
              TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFXLNetForMultipleChoice,
              TFXLNetForQuestionAnsweringSimple,
              TFXLNetForSequenceClassification,
              TFXLNetForTokenClassification,
              TFXLNetLMHeadModel,
              TFXLNetMainLayer,
              TFXLNetModel,
              TFXLNetPreTrainedModel,
          )

else:
     import sys

     lowerCamelCase__							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










def   UpperCamelCase  (       snake_case__     :   str  ):




     '''simple docstring'''






     __snake_case			:List[Any]          =						hex_num.strip()
     if not hex_num:
          raise ValueError("""No value was passed to the function"""  )

     __snake_case			:str          =						hex_num[0] == """-"""
     if is_negative:
          __snake_case			:List[Any]          =						hex_num[1:]

     try:
          __snake_case			:Tuple          =						int(snake_case__	,16  )
     except ValueError:
          raise ValueError("""Invalid value was passed to the function"""  )

     __snake_case			:int          =						""""""
     while int_num > 0:
          __snake_case			:Optional[int]          =						str(int_num % 2  ) + bin_str
          int_num >>= 1

     return int(("""-""" + bin_str) if is_negative else bin_str  )


if __name__ == "__main__":
     import doctest

     doctest.testmod()


