


def 		_A		(		_lowercase = 4_00_00_00 )					-> int:


     """simple docstring"""


     __UpperCamelCase =			[]
     __UpperCamelCase,    __UpperCamelCase =			0, 1
     while b <= n:
          if b % 2 == 0:
               even_fibs.append(_lowercase )
          __UpperCamelCase,    __UpperCamelCase =			b, a + b
     return sum(_lowercase )


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





'''simple docstring'''



from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import torch

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available



@dataclass
class 				_snake_case					(   a_			):
  SCREAMING_SNAKE_CASE			:       Union[List[np.ndarray], torch.FloatTensor]


try:
     if not (is_transformers_available() and is_torch_available()):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
     from .pipeline_text_to_video_synth import TextToVideoSDPipeline
     from .pipeline_text_to_video_synth_imgaimg import VideoToVideoSDPipeline  # noqa: F401
     from .pipeline_text_to_video_zero import TextToVideoZeroPipeline





