


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('>=', '4.25.0')):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        VersatileDiffusionDualGuidedPipeline,
        VersatileDiffusionImageVariationPipeline,
        VersatileDiffusionPipeline,
        VersatileDiffusionTextToImagePipeline,
    )
else:
    from .modeling_text_unet import UNetFlatConditionModel
    from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
    from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
    from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
    from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline







def   _UpperCAmelCase       (     UpperCAmelCase      :			int = 4_000_000      ):
      """simple docstring"""




      __lowerCamelCase     :      Union[str, Any]       						=						[0, 1]
      __lowerCamelCase     :      Dict       						=						0
      while fib[i] <= n:
            fib.append(fib[i] + fib[i + 1]      )
            if fib[i + 2] > n:
                  break
            i += 1
      __lowerCamelCase     :      Any       						=						0
      for j in range(len(UpperCAmelCase      ) - 1      ):
            if fib[j] % 2 == 0:
                  total += fib[j]

      return total


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



