

'''simple docstring'''

from itertools import count




def       UpperCamelCase(     UpperCAmelCase_ = 50	):
 UpperCAmelCase       :	List[Any]											= [1] * min_block_length

 for n in count(__lowercase	):
  fill_count_functions.append(1	)

  for block_length in range(__lowercase  ,       n + 1	):
   for block_start in range(n - block_length	):
    fill_count_functions[n] += fill_count_functions[
        n - block_start - block_length - 1
    ]

   fill_count_functions[n] += 1

  if fill_count_functions[n] > 1_00_00_00:
   break

 return n


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






import warnings

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


_lowerCamelCase       :				Dict       =			logging.get_logger(__name__)




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Tuple			,  *lowercase	:    Optional[int]			,  **lowercase	:    Any	):


				'''simple docstring'''


				warnings.warn(
				    'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use ChineseCLIPImageProcessor instead.'			,  lowercase			,  )
				super().__init__(*lowercase			,  **lowercase	)