


from __future__ import annotations
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__						):
	__lowerCamelCase		:							Optional[int]		 =						0
	__lowerCamelCase		:							Any		 =						len(SCREAMING_SNAKE_CASE__						) - 1

	while i < j:
		if nums[i] + nums[j] == target:
			return [i, j]
		elif nums[i] + nums[j] < target:
			__lowerCamelCase		:							Union[str, Any]		 =						i + 1
		else:
			__lowerCamelCase		:							Union[str, Any]		 =						j - 1

	return []


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(F"""{two_pointer([2, 7, 1_1, 1_5], 9) = }""")





import warnings

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


lowercase_	   =     logging.get_logger(__name__)


class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      def __init__(    self:	List[str]						,				*a:	List[Any]						,				**a:	Optional[Any]    ):
       warnings.warn(
           'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use ChineseCLIPImageProcessor instead.'						,				a						,				)
       super().__init__(*a						,				**a    )

