




from typing import TYPE_CHECKING

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


lowerCamelCase__					:  Dict      							=				{
    'configuration_longformer': [
        'LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'LongformerConfig',
        'LongformerOnnxConfig',
    ],
    'tokenization_longformer': ['LongformerTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__					:  List[Any]      							=				['LongformerTokenizerFast']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__					:  Any      							=				[
       'LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'LongformerForMaskedLM',
       'LongformerForMultipleChoice',
       'LongformerForQuestionAnswering',
       'LongformerForSequenceClassification',
       'LongformerForTokenClassification',
       'LongformerModel',
       'LongformerPreTrainedModel',
       'LongformerSelfAttention',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__					:  int      							=				[
       'TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'TFLongformerForMaskedLM',
       'TFLongformerForMultipleChoice',
       'TFLongformerForQuestionAnswering',
       'TFLongformerForSequenceClassification',
       'TFLongformerForTokenClassification',
       'TFLongformerModel',
       'TFLongformerPreTrainedModel',
       'TFLongformerSelfAttention',
   ]


if TYPE_CHECKING:
   from .configuration_longformer import (
       LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       LongformerConfig,
       LongformerOnnxConfig,
   )
   from .tokenization_longformer import LongformerTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_longformer_fast import LongformerTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_longformer import (
          LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          LongformerForMaskedLM,
          LongformerForMultipleChoice,
          LongformerForQuestionAnswering,
          LongformerForSequenceClassification,
          LongformerForTokenClassification,
          LongformerModel,
          LongformerPreTrainedModel,
          LongformerSelfAttention,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_longformer import (
          TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFLongformerForMaskedLM,
          TFLongformerForMultipleChoice,
          TFLongformerForQuestionAnswering,
          TFLongformerForSequenceClassification,
          TFLongformerForTokenClassification,
          TFLongformerModel,
          TFLongformerPreTrainedModel,
          TFLongformerSelfAttention,
      )

else:
   import sys

   lowerCamelCase__					:  Union[str, Any]      							=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





def    UpperCAmelCase_				( __UpperCAmelCase		:      list     ,     __UpperCAmelCase		:      int     ,     __UpperCAmelCase		:      int = 0     ,     __UpperCAmelCase		:      int = 0				)   ->					int:
      SCREAMING_SNAKE_CASE_      		=     right or len(__UpperCAmelCase				) - 1
      if left > right:
            return -1
      elif list_data[left] == key:
            return left
      elif list_data[right] == key:
            return right
      else:
            return search(__UpperCAmelCase     ,     __UpperCAmelCase     ,     left + 1     ,     right - 1				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()