'''simple docstring'''

def      UpperCamelCase_						(					snake_case_       :       int						,		snake_case_       :       int      )					->     str:






 '''simple docstring'''

 if a < 0 or b < 0:
  raise ValueError("""the value of both inputs must be positive"""      )

 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"
 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"

 __lowerCAmelCase											=						max(len(snake_case_      )						,		len(snake_case_      )      )

 return "0b" + "".join(
     str(int(char_a == """1""" and char_b == """1"""      )      )
     for char_a, char_b in zip(a_binary.zfill(snake_case_      )						,		b_binary.zfill(snake_case_      )      )      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()







'''simple docstring'''

import warnings

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


_A			:      Optional[int]					      =				logging.get_logger(__name__)







class 				_lowercase     (				UpperCAmelCase__			):


 '''simple docstring'''






 def __init__(      self   :	Dict      ,       *SCREAMING_SNAKE_CASE__   :	Optional[int]      ,       **SCREAMING_SNAKE_CASE__   :	List[str]							)  ->    None:
  warnings.warn(
      """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
      """ Please use SegformerImageProcessor instead."""      ,       SCREAMING_SNAKE_CASE__      ,       )
  super().__init__(*SCREAMING_SNAKE_CASE__      ,       **SCREAMING_SNAKE_CASE__							)






