


'''simple docstring'''

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

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)
@dataclass
class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      lowerCAmelCase__   :	Union[List[PIL.Image.Image], np.ndarray]
      lowerCAmelCase__   :	Optional[List[bool]]
      lowerCAmelCase__   :	Optional[List[bool]]


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_if import IFPipeline
 from .pipeline_if_imgaimg import IFImgaImgPipeline
 from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
 from .pipeline_if_inpainting import IFInpaintingPipeline
 from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
 from .pipeline_if_superresolution import IFSuperResolutionPipeline
 from .safety_checker import IFSafetyChecker
 from .watermark import IFWatermarker








'''simple docstring'''

def _SCREAMING_SNAKE_CASE (A = 1_000			)			->			int:






       """simple docstring"""







       return sum(2 * a * ((a - 1) // 2) for a in range(3    ,					n + 1			)			)


if __name__ == "__main__":
 print(solution())




