
'''simple docstring'''






def 		A_							(						_lowerCAmelCase :     Union[str, Any]					,						_lowerCAmelCase :     Any					,						_lowerCAmelCase :     int=False				):



      """simple docstring"""




      if isinstance(_lowerCAmelCase					,						_lowerCAmelCase				) and isinstance(_lowerCAmelCase					,						_lowerCAmelCase				):
            _lowerCamelCase					: int		    = len(set_a.intersection(_lowerCAmelCase				)				)

            if alternative_union:
                  _lowerCamelCase					: str		    = len(_lowerCAmelCase				) + len(_lowerCAmelCase				)
            else:
                  _lowerCamelCase					: List[Any]		    = len(set_a.union(_lowerCAmelCase				)				)

            return intersection / union

      if isinstance(_lowerCAmelCase					,						(list, tuple)				) and isinstance(_lowerCAmelCase					,						(list, tuple)				):
            _lowerCamelCase					: Dict		    = [element for element in set_a if element in set_b]

            if alternative_union:
                  _lowerCamelCase					: int		    = len(_lowerCAmelCase				) + len(_lowerCAmelCase				)
                  return len(_lowerCAmelCase				) / union
            else:
                  _lowerCamelCase					: List[Any]		    = set_a + [element for element in set_b if element not in set_a]
                  return len(_lowerCAmelCase				) / len(_lowerCAmelCase				)

            return len(_lowerCAmelCase				) / len(_lowerCAmelCase				)
      return None


if __name__ == "__main__":
 UpperCAmelCase_							: Any =							{'a', 'b', 'c', 'd', 'e'}
 UpperCAmelCase_							: int =							{'c', 'd', 'e', 'f', 'h', 'i'}
 print(jaccard_similarity(set_a, set_b))

"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


A__ :       List[Any]				= logging.get_logger(__name__)


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self			,					*A_			,					**A_							)  ->						None:





         """simple docstring"""




         warnings.warn(
             '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
             ''' Please use SegformerImageProcessor instead.'''			,					A_			,					)
         super().__init__(*A_			,					**A_							)
