




import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowercase_						=				logging.get_logger(__name__)





class 						A__							(  __a					):






	def __init__(      self							,	*lowerCamelCase							,	**lowerCamelCase		) ->  str:




						"""simple docstring"""






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




'''simple docstring'''

def snake_case_      (					__snake_case  :							int	,   __snake_case  :							int	,   __snake_case  :							int)			->					float:
   lowerCAmelCase_			=      (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
   # formula for sum of series
   return total



def snake_case_      (					)			->					str:
   print(sum_of_series(1	,   1	,   10))


if __name__ == "__main__":
 import doctest

 doctest.testmod()





