






from typing import TYPE_CHECKING

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


__lowerCamelCase	:		Optional[Any]										=   {"""configuration_deit""": ["""DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeiTConfig""", """DeiTOnnxConfig"""]}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowerCamelCase	:		Optional[Any]										=   ["""DeiTFeatureExtractor"""]
     __lowerCamelCase	:		Union[str, Any]										=   ["""DeiTImageProcessor"""]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowerCamelCase	:		Dict										=   [
         """DEIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """DeiTForImageClassification""",
         """DeiTForImageClassificationWithTeacher""",
         """DeiTForMaskedImageModeling""",
         """DeiTModel""",
         """DeiTPreTrainedModel""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowerCamelCase	:		Any										=   [
         """TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFDeiTForImageClassification""",
         """TFDeiTForImageClassificationWithTeacher""",
         """TFDeiTForMaskedImageModeling""",
         """TFDeiTModel""",
         """TFDeiTPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_deit import DeiTFeatureExtractor
          from .image_processing_deit import DeiTImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_deit import (
              DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              DeiTForImageClassification,
              DeiTForImageClassificationWithTeacher,
              DeiTForMaskedImageModeling,
              DeiTModel,
              DeiTPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_deit import (
              TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFDeiTForImageClassification,
              TFDeiTForImageClassificationWithTeacher,
              TFDeiTForMaskedImageModeling,
              TFDeiTModel,
              TFDeiTPreTrainedModel,
          )


else:
     import sys

     __lowerCamelCase	:		Optional[int]										=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)













class  _lowercase   :
      def __init__(     self				,			a   ):
       snake_case__  :    Optional[int]							       =size
       snake_case__  :    List[Any]							       =[0] * size
       snake_case__  :    List[Any]							       =[0] * size
      @staticmethod
      def 						lowercase__					(     a   ):
       return index | (index + 1)
      @staticmethod
      def 						lowercase__					(     a   ):
       return (index & (index + 1)) - 1
      def 						lowercase__					(     self				,			a				,			a   ):
       snake_case__  :    Optional[Any]							       =value
       while index < self.size:
        snake_case__  :    str							       =self.get_prev(a   ) + 1
        if current_left_border == index:
         snake_case__  :    Dict							       =value
        else:
         snake_case__  :    str							       =max(a				,			a				,			a   )
        snake_case__  :    Dict							       =self.get_next(a   )



      def 						lowercase__					(     self				,			a				,			a   ):
       right -= 1  # Because of right is exclusive
       snake_case__  :    Union[str, Any]							       =0
       while left <= right:
        snake_case__  :    List[str]							       =self.get_prev(a   )
        if left <= current_left:
         snake_case__  :    Optional[Any]							       =max(a				,			self.tree[right]   )
         snake_case__  :    Optional[Any]							       =current_left
        else:
         snake_case__  :    Tuple							       =max(a				,			self.arr[right]   )
         right -= 1
       return result


if __name__ == "__main__":
       import doctest

       doctest.testmod()





