


"""simple docstring"""







def 					lowercase      (    A_  ,       A_	)->				List[str]:
  '''simple docstring'''







  if not (isinstance(_A  ,       _A	) and isinstance(_A  ,       _A	)):
    raise ValueError("longest_common_substring() takes two strings for inputs"	)

  a						:		Optional[Any]											=      len(_A	)
  a						:		str											=      len(_A	)

  a						:		str											=      [[0] * (texta_length + 1) for _ in range(texta_length + 1	)]
  a						:		Optional[int]											=      0
  a						:		str											=      0

  for i in range(1  ,       texta_length + 1	):
    for j in range(1  ,       texta_length + 1	):
      if texta[i - 1] == texta[j - 1]:
        a						:		List[Any]											=      1 + dp[i - 1][j - 1]
        if dp[i][j] > ans_length:
          a						:		Union[str, Any]											=      i
          a						:		Dict											=      dp[i][j]

  return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
 import doctest

 doctest.testmod()








"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


__lowercase    =				logging.get_logger(__name__)






class 						_A  (  _a  ):







    """simple docstring"""




    def __init__( self    :   List[Any]    ,			*__UpperCAmelCase    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      warnings.warn(
          "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use DPTImageProcessor instead."    ,			__UpperCAmelCase    ,			)
      super().__init__(*__UpperCAmelCase    ,			**__UpperCAmelCase)






