


import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


__snake_case            =   logging.get_logger(__name__)




class    UpperCAmelCase					(       __snake_case    ):




   def __init__(						self							:		Optional[int]       ,       *__magic_name__							:		Optional[Any]       ,       **__magic_name__							:		str						):







      """simple docstring"""







      warnings.warn(
          """The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
          """ use FlavaImageProcessor instead."""       ,       __magic_name__       ,       )
      super().__init__(*__magic_name__       ,       **__magic_name__						)








def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			UpperCamelCase         =					int(SCREAMING_SNAKE_CASE_	)
			if decimal in (0, 1):  # Exit cases for the recursion
						return str(SCREAMING_SNAKE_CASE_	)
			UpperCamelCase  ,  UpperCamelCase         =					divmod(SCREAMING_SNAKE_CASE_       ,  2	)
			return binary_recursive(SCREAMING_SNAKE_CASE_	) + str(SCREAMING_SNAKE_CASE_	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			UpperCamelCase         =					str(SCREAMING_SNAKE_CASE_	).strip()
			if not number:
						raise ValueError("""No input value was provided"""	)
			UpperCamelCase         =					"""-""" if number.startswith("""-"""	) else """"""
			UpperCamelCase         =					number.lstrip("""-"""	)
			if not number.isnumeric():
						raise ValueError("""Input value is not an integer"""	)
			return f'{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_	)	)}'


if __name__ == "__main__":
			from doctest import testmod

			testmod()




