





from typing import TYPE_CHECKING

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


__lowercase	: Dict       ={
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase	: Any       =["""BlipImageProcessor"""]


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase	: List[Any]       =[
         """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """BlipModel""",
         """BlipPreTrainedModel""",
         """BlipForConditionalGeneration""",
         """BlipForQuestionAnswering""",
         """BlipVisionModel""",
         """BlipTextModel""",
         """BlipForImageTextRetrieval""",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __lowercase	: List[Any]       =[
         """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """TFBlipModel""",
         """TFBlipPreTrainedModel""",
         """TFBlipForConditionalGeneration""",
         """TFBlipForQuestionAnswering""",
         """TFBlipVisionModel""",
         """TFBlipTextModel""",
         """TFBlipForImageTextRetrieval""",
     ]

if TYPE_CHECKING:
     from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
     from .processing_blip import BlipProcessor

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_blip import BlipImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_blip import (
              BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              BlipForConditionalGeneration,
              BlipForImageTextRetrieval,
              BlipForQuestionAnswering,
              BlipModel,
              BlipPreTrainedModel,
              BlipTextModel,
              BlipVisionModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_blip import (
              TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFBlipForConditionalGeneration,
              TFBlipForImageTextRetrieval,
              TFBlipForQuestionAnswering,
              TFBlipModel,
              TFBlipPreTrainedModel,
              TFBlipTextModel,
              TFBlipVisionModel,
          )

else:
     import sys

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











'''simple docstring'''




from __future__ import annotations





def 	__lowerCamelCase			(      __lowerCAmelCase       :							Any      ,    __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							Any      ,    __lowerCAmelCase       :							int		)		->  Tuple:  # noqa: E741
   while r - l > 1:
      snake_case 						=   (l + r) // 2
      if v[m] >= key:
         snake_case 						=   m
      else:
         snake_case 						=   m  # noqa: E741
   return r





def 	__lowerCamelCase			(      __lowerCAmelCase       :							list[int]		)		->  int:
   if len(__lowerCAmelCase		) == 0:
      return 0

   snake_case 						=   [0] * len(__lowerCAmelCase		)
   snake_case 						=   1

   snake_case 						=   v[0]

   for i in range(1      ,    len(__lowerCAmelCase		)		):
      if v[i] < tail[0]:
         snake_case 						=   v[i]
      elif v[i] > tail[length - 1]:
         snake_case 						=   v[i]
         length += 1
      else:
         snake_case 						=   v[i]

   return length


if __name__ == "__main__":
 import doctest

 doctest.testmod()

