
"""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__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		42
			lowerCamelCase  					=		42



			def __init__(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase  ) ->     List[str]:
				super().__init__()

				_lowerCAmelCase								=PNDMScheduler.from_config(scheduler.config  )

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



			@torch.no_grad()
			def __call__(							self     ,     __UpperCAmelCase = 1     ,     __UpperCAmelCase = 50     ,     __UpperCAmelCase = None     ,     __UpperCAmelCase = "pil"     ,     __UpperCAmelCase = True     ,     **__UpperCAmelCase     ,     ) ->     Union[ImagePipelineOutput, Tuple]:
				_lowerCAmelCase								=randn_tensor(
				    (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)     ,     generator=__UpperCAmelCase     ,     device=self.device     ,     )

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

					_lowerCAmelCase								=self.scheduler.step(__UpperCAmelCase     ,     __UpperCAmelCase     ,     __UpperCAmelCase  ).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(__UpperCAmelCase  )

				if not return_dict:
					return (image,)

				return ImagePipelineOutput(images=__UpperCAmelCase  )





"""simple docstring"""


from .hash_table import HashTable







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''



			def __init__(							self     ,     *__UpperCAmelCase     ,     **__UpperCAmelCase  ) ->     List[str]:
				super().__init__(*__UpperCAmelCase     ,     **__UpperCAmelCase  )



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase=None  ) ->     Union[str, Any]:
				_lowerCAmelCase								=1
				_lowerCAmelCase								=self.hash_function(key + i * i  )

				while self.values[new_key] is not None and self.values[new_key] != key:
					i += 1
					_lowerCAmelCase								=(
					    self.hash_function(key + i * i  )
					    if not self.balanced_factor() >= self.lim_charge
					    else None
					)

					if new_key is None:
						break

				return new_key



