



'''simple docstring'''


from __future__ import annotations







def 				__lowerCamelCase				(   A__    ,						A__    )       ->	bool:






   """simple docstring"""
   if len(A__    ) == 0:
      return False
   UpperCamelCase					=  len(A__    ) // 2
   if a_list[midpoint] == item:
      return True
   if item < a_list[midpoint]:
      return binary_search(a_list[:midpoint]    ,						A__    )
   else:
      return binary_search(a_list[midpoint + 1 :]    ,						A__    )


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






'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_lowerCamelCase	:       str      	=	logging.get_logger(__name__)

class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""





    def __init__(  self      :					Dict  ,						*UpperCamelCase__      :					List[Any]  ,						**UpperCamelCase__      :					List[Any] ):


       """simple docstring"""







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

