



"""simple docstring"""





from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel
from ...schedulers import PNDMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput


class       __lowerCamelCase	(   __lowercase    ):
   __UpperCamelCase									=   42
   __UpperCamelCase									=   42







   def __init__(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      super().__init__()

      _lowerCAmelCase					     =		PNDMScheduler.from_config(scheduler.config				)

      self.register_modules(unet=lowerCamelCase       ,	scheduler=lowerCamelCase				)







   @torch.no_grad()
   def __call__(self       ,	lowerCamelCase = 1       ,	lowerCamelCase = 50       ,	lowerCamelCase = None       ,	lowerCamelCase = "pil"       ,	lowerCamelCase = True       ,	**lowerCamelCase       ,	):




      '''simple docstring'''




      _lowerCAmelCase					     =		randn_tensor(
          (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)       ,	generator=lowerCamelCase       ,	device=self.device       ,	)

      self.scheduler.set_timesteps(lowerCamelCase				)
      for t in self.progress_bar(self.scheduler.timesteps				):
         _lowerCAmelCase					     =		self.unet(lowerCamelCase       ,	lowerCamelCase				).sample

         _lowerCAmelCase					     =		self.scheduler.step(lowerCamelCase       ,	lowerCamelCase       ,	lowerCamelCase				).prev_sample

      _lowerCAmelCase					     =		(image / 2 + 0.5).clamp(0       ,	1				)
      _lowerCAmelCase					     =		image.cpu().permute(0       ,	2       ,	3       ,	1				).numpy()
      if output_type == "pil":
         _lowerCAmelCase					     =		self.numpy_to_pil(lowerCamelCase				)

      if not return_dict:
         return (image,)

      return ImagePipelineOutput(images=lowerCamelCase				)




"""simple docstring"""





from itertools import combinations_with_replacement






def 	__UpperCAmelCase					(       snake_case_  :  int = 100   )							->	int:






   """simple docstring"""


   _lowerCAmelCase					     =		[*list(range(1   ,	21   )   ), 25]
   _lowerCAmelCase					     =		[2 * x for x in range(1   ,	21   )] + [50]
   _lowerCAmelCase					     =		[3 * x for x in range(1   ,	21   )]
   _lowerCAmelCase					     =		singles + doubles + triples + [0]

   _lowerCAmelCase					     =		0
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42
   _lowerCAmelCase					     =		42

   for double in doubles:
      for throwa, throwa in combinations_with_replacement(snake_case_   ,	2   ):
         _lowerCAmelCase					     =		double + throwa + throwa
         if checkout_total < limit:
            num_checkouts += 1

   return num_checkouts


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