




import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


_lowerCAmelCase						:   str		=   logging.get_logger(__name__)
class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :str ,      *lowerCamelCase   :int ,      **lowerCamelCase   :Optional[Any]      )     ->			None:
       warnings.warn(
           "The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use VideoMAEImageProcessor instead." ,      lowerCamelCase ,      )
       super().__init__(*lowerCamelCase ,      **lowerCamelCase      )











import math



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int	):




 """simple docstring"""







 UpperCAmelCase__							 =						math.loga(math.sqrt(4 * positive_integer + 1	) / 2 + 1 / 2	)

 return exponent == int(_lowerCAmelCase	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   float = 1 / 1_2345	):




 """simple docstring"""







 UpperCAmelCase__							 =						0
 UpperCAmelCase__							 =						0

 UpperCAmelCase__							 =						3
 while True:
  UpperCAmelCase__							 =						(integer**2 - 1) / 4
  # if candidate is an integer, then there is a partition for k
  if partition_candidate == int(_lowerCAmelCase	):
   UpperCAmelCase__							 =						int(_lowerCAmelCase	)
   total_partitions += 1
   if check_partition_perfect(_lowerCAmelCase	):
    perfect_partitions += 1
  if perfect_partitions > 0:
   if perfect_partitions / total_partitions < max_proportion:
    return int(_lowerCAmelCase	)
  integer += 1


if __name__ == "__main__":
  print(F'''{solution() = }''')





