



"""simple docstring"""
def       _snake_case						(						UpperCamelCase						:		str						):
 UpperCAmelCase	:					str	=	[0] * len(UpperCamelCase						)

 for i in range(1			,		len(UpperCamelCase						)						):
  # use last results for better performance - dynamic programming
  UpperCAmelCase	:					int	=	prefix_result[i - 1]
  while j > 0 and input_string[i] != input_string[j]:
   UpperCAmelCase	:					List[str]	=	prefix_result[j - 1]

  if input_string[i] == input_string[j]:
   j += 1
  UpperCAmelCase	:					Optional[int]	=	j

 return prefix_result

def       _snake_case						(						UpperCamelCase						:		str						):
 return max(prefix_function(UpperCamelCase						)						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()





"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A:   List[str]								=		{
    "configuration_clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
    "processing_clipseg": ["CLIPSegProcessor"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   Optional[int]								=		[
          "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
          "CLIPSegModel",
          "CLIPSegPreTrainedModel",
          "CLIPSegTextModel",
          "CLIPSegVisionModel",
          "CLIPSegForImageSegmentation",
      ]

if TYPE_CHECKING:
      from .configuration_clipseg import (
          CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
          CLIPSegConfig,
          CLIPSegTextConfig,
          CLIPSegVisionConfig,
      )
      from .processing_clipseg import CLIPSegProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_clipseg import (
                CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
                CLIPSegForImageSegmentation,
                CLIPSegModel,
                CLIPSegPreTrainedModel,
                CLIPSegTextModel,
                CLIPSegVisionModel,
            )

else:
      import sys

      A:   Tuple								=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
