
def 			UpperCamelCase					(    __lowerCamelCase     : list    ):
       if any(not isinstance(__lowerCamelCase				,					__lowerCamelCase    ) or x < 0 for x in sequence    ):
              raise TypeError("Sequence must be list of non-negative integers"    )
       for _ in range(len(__lowerCamelCase    )    ):
              for i, (rod_upper, rod_lower) in enumerate(zip(__lowerCamelCase				,					sequence[1:]    )    ):
                     if rod_upper > rod_lower:
                            sequence[i] -= rod_upper - rod_lower
                            sequence[i + 1] += rod_upper - rod_lower
       return sequence


if __name__ == "__main__":
   assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
   assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]










'''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__ )

