



'''simple docstring'''





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

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
# Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Stable->Alt
class       lowerCamelCase_					(       SCREAMING_SNAKE_CASE_  ):
  """simple docstring"""




  a_							      =42
  a_							      =42


if is_transformers_available() and is_torch_available():
   from .modeling_roberta_series import RobertaSeriesModelWithTransformation
   from .pipeline_alt_diffusion import AltDiffusionPipeline
   from .pipeline_alt_diffusion_imgaimg import AltDiffusionImgaImgPipeline











'''simple docstring'''





def  a_  (							_lowerCAmelCase = 1000 )   ->   int:
  return sum(i for i in range(_lowerCAmelCase ) if i % 3 == 0 or i % 5 == 0 )


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






