
import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


__magic_name__            =  logging.get_logger(__name__)




class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      def __init__(			self		,	*lowerCamelCase		,	**lowerCamelCase ):
          warnings.warn(
              "The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
              " use DonutImageProcessor instead."		,	lowerCamelCase		,	)
          super().__init__(*lowerCamelCase		,	**lowerCamelCase )





from __future__ import annotations





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    if len(__lowerCAmelCase							) == 0:
        return False
    snake_case__						=				len(__lowerCAmelCase							) // 2
    if a_list[midpoint] == item:
        return True
    if item < a_list[midpoint]:
        return binary_search(a_list[:midpoint]    ,		__lowerCAmelCase							)
    else:
        return binary_search(a_list[midpoint + 1 :]    ,		__lowerCAmelCase							)


if __name__ == "__main__":
     __magic_name__            =  input('''Enter numbers separated by comma:\n''').strip()
     __magic_name__            =  [int(item.strip()) for item in user_input.split(''',''')]
     __magic_name__            =  int(input('''Enter the number to be found in the list:\n''').strip())
     __magic_name__            =  '''''' if binary_search(sequence, target) else '''not '''
     print(F'''{target} was {not_str}found in {sequence}''')



