
'''simple docstring'''






def 		A_       (	_lowerCAmelCase   :    int = 4000000							):



      """simple docstring"""




      _lowerCamelCase				:   List[str]								=   []
      _lowerCamelCase						,		_lowerCamelCase				:   Optional[int]								=   0, 1
      while b <= n:
            if b % 2 == 0:
                  even_fibs.append(_lowerCAmelCase							)
            _lowerCamelCase						,		_lowerCamelCase				:   Union[str, Any]								=   b, a + b
      return sum(_lowerCAmelCase							)


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

'''simple docstring'''






import warnings

from ..trainer import Trainer
from ..utils import logging


UpperCAmelCase_       :   Union[str, Any]   =       logging.get_logger(__name__)

class  UpperCAmelCase__						(       A ):



    def __init__(	self      :       int,__A      :       Any=None,**__A      :       Optional[Any]     ):
          warnings.warn(
              "`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` "
              "instead.",__A,)
          super().__init__(args=__A,**__A     )