


import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


_UpperCAmelCase	:     Tuple   =logging.get_logger(__name__)







class  snake_case__(							UpperCamelCase__							):







						'''simple docstring'''




						def __init__( self      ,  *__lowercase      ,  **__lowercase							)    ->			None:
										warnings.warn(
										    '''The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
										    ''' use FlavaImageProcessor instead.'''      ,  lowerCAmelCase__      ,  )
										super().__init__(*lowerCAmelCase__      ,  **lowerCAmelCase__							)






def      _A       (		SCREAMING_SNAKE_CASE     :   int = 50						):





  """simple docstring"""



  a__	:					Any										=[1] * (length + 1)

  for row_length in range(3       ,       length + 1						):
    for block_length in range(3       ,       row_length + 1						):
      for block_start in range(row_length - block_length						):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


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






