




'''simple docstring'''

def    snake_case__     (  a = 1000	)			->       int:





			'''simple docstring'''






			snake_case__          =						0
			snake_case__          =						(n - 1) // 3
			total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
			snake_case__          =						(n - 1) // 5
			total += ((terms) * (10 + (terms - 1) * 5)) // 2
			snake_case__          =						(n - 1) // 15
			total -= ((terms) * (30 + (terms - 1) * 15)) // 2
			return total


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





'''simple docstring'''

import warnings

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


a__         =     logging.get_logger(__name__)





class __magic_name__(						__lowerCAmelCase      ):






						def __init__(   self						:						Optional[Any]					,   *__UpperCamelCase						:						Union[str, Any]					,   **__UpperCamelCase						:						Dict       ):



									'''simple docstring'''






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