

"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


SCREAMING_SNAKE_CASE_					:	Optional[Any]							  =						logging.get_logger(__name__)



class 					a						(       __A				):



    """simple docstring"""



    def __init__(     self: Dict    ,						*UpperCamelCase: Tuple    ,						**UpperCamelCase: Any       ):






         """simple docstring"""


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









"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					Optional[Any]					,   UpperCAmelCase_  :					Optional[Any]			):
     A__										=  [0 for i in range(r + 1			)]
     # nc0 = 1
     A__										=  1
     for i in range(1					,   n + 1			):
          # to compute current row from previous row.
          A__										=  min(UpperCAmelCase_					,   UpperCAmelCase_			)
          while j > 0:
               c[j] += c[j - 1]
               j -= 1
     return c[r]

print(binomial_coefficient(n=1_0, r=5))






