

def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      int )				-> int:





    '''simple docstring'''






    return n * (2 * n - 1)
def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      int )				-> bool:





    '''simple docstring'''






    A__        =  (1 + 24 * n) ** 0.5
    return ((1 + root) / 6) % 1 == 0
def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      int = 144 )				-> int:





    '''simple docstring'''






    A__        =  start
    A__        =  hexagonal_num(SCREAMING_SNAKE_CASE__ )
    while not is_pentagonal(SCREAMING_SNAKE_CASE__ ):
        n += 1
        A__        =  hexagonal_num(SCREAMING_SNAKE_CASE__ )
    return num


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




import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowercase_									=    logging.get_logger(__name__)


class 					A		(				_UpperCAmelCase					):







    """simple docstring"""





    def __init__( self					:			str,*lowercase_					:			List[Any],**lowercase_					:			Dict						)->       None:





        '''simple docstring'''







        warnings.warn(
            'The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use MobileNetV1ImageProcessor instead.',lowercase_,)
        super().__init__(*lowercase_,**lowercase_						)

