





import warnings

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


__lowercase       :Optional[int]       =  logging.get_logger(__name__)



class    _a     (				lowercase__							):






							"""simple docstring"""

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






def       UpperCAmelCase							(     _lowerCamelCase      :  int = 4_000_000     ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__     :				Any   =					[0, 1]
						SCREAMING_SNAKE_CASE__     :				List[Any]   =					0
						while fib[i] <= n:
												fib.append(fib[i] + fib[i + 1]     )
												if fib[i + 2] > n:
																		break
												i += 1
						SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					0
						for j in range(len(_lowerCamelCase     ) - 1     ):
												if fib[j] % 2 == 0:
																		total += fib[j]

						return total


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