




"""simple docstring"""





_lowercase						   =     {
    """0""": 1,
    """1""": 1,
    """2""": 2,
    """3""": 6,
    """4""": 24,
    """5""": 1_20,
    """6""": 7_20,
    """7""": 50_40,
    """8""": 4_03_20,
    """9""": 36_28_80,
}

_lowercase						   =     {1_45: 1_45}

_lowercase						   =     {
    1_45: 0,
    1_69: 3,
    3_63_01: 3,
    14_54: 3,
    8_71: 2,
    4_53_61: 2,
    8_72: 2,
}

def 		lowerCAmelCase				(			lowerCamelCase		):
						'''simple docstring'''


						if n in CACHE_SUM_DIGIT_FACTORIALS:
												return CACHE_SUM_DIGIT_FACTORIALS[n]
						snake_case__							:       Optional[Any]				      =       sum(DIGIT_FACTORIALS[let] for let in str(A__		)		)
						snake_case__							:       int				      =       ret
						return ret

def 		lowerCAmelCase				(			lowerCamelCase   ,      lowerCamelCase = None		):
						'''simple docstring'''


						snake_case__							:       str				      =       previous or set()
						if n in CHAIN_LENGTH_CACHE:
												return CHAIN_LENGTH_CACHE[n]
						snake_case__							:       List[Any]				      =       sum_digit_factorials(A__		)
						if next_number in previous:
												snake_case__							:       Optional[int]				      =       0
												return 0
						else:
												previous.add(A__		)
												snake_case__							:       Any				      =       1 + chain_length(A__   ,      A__		)
												snake_case__							:       Union[str, Any]				      =       ret
												return ret

def 		lowerCAmelCase				(			lowerCamelCase = 60   ,      lowerCamelCase = 1000000		):
						'''simple docstring'''


						return sum(1 for i in range(1   ,      A__		) if chain_length(A__		) == num_terms		)


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




import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


_A       =					logging.get_logger(__name__)







class 	lowerCamelCase						(    A_    ):





     def __init__(self :       Any							,       *_A :       Optional[Any]							,       **_A :       List[Any]  )		->		None:
         warnings.warn(
             "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use LevitImageProcessor instead."							,       _A							,       )
         super().__init__(*_A							,       **_A  )

