
import warnings
from typing import List, Optional, Tuple, Union

import numpy as np
import PIL
import torch

from ...models import UNetaDModel
from ...schedulers import RePaintScheduler
from ...utils import PIL_INTERPOLATION, logging, randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput


_lowerCamelCase			:							Dict         =     logging.get_logger(__name__)  # pylint: disable=invalid-name






def 			a_						(			__lowercase  :      Union[List, PIL.Image.Image, torch.Tensor]					)					->    List[Any]:
			warnings.warn(
			    'The preprocess method is deprecated and will be removed in a future version. Please'
			    ' use VaeImageProcessor.preprocess instead'			,   __A			,   )
			if isinstance(__A			,   torch.Tensor					):
						return image
			elif isinstance(__A			,   PIL.Image.Image					):
						_snake_case            =     [image]

			if isinstance(image[0]			,   PIL.Image.Image					):
						_snake_case            =     image[0].size
						_snake_case            =     (x - x % 8 for x in (w, h))  # resize to integer multiple of 8

						_snake_case            =     [np.array(i.resize((w, h)			,   resample=PIL_INTERPOLATION['lanczos']					)					)[None, :] for i in image]
						_snake_case            =     np.concatenate(__A			,   axis=0					)
						_snake_case            =     np.array(__A					).astype(np.floataa					) / 2_5_5.0
						_snake_case            =     image.transpose(0			,   3			,   1			,   2					)
						_snake_case            =     2.0 * image - 1.0
						_snake_case            =     torch.from_numpy(__A					)
			elif isinstance(image[0]			,   torch.Tensor					):
						_snake_case            =     torch.cat(__A			,   dim=0					)
			return image






def 			a_						(			__lowercase  :      Union[List, PIL.Image.Image, torch.Tensor]					)					->    Optional[Any]:




			if isinstance(__A			,   torch.Tensor					):
						return mask
			elif isinstance(__A			,   PIL.Image.Image					):
						_snake_case            =     [mask]

			if isinstance(mask[0]			,   PIL.Image.Image					):
						_snake_case            =     mask[0].size
						_snake_case            =     (x - x % 32 for x in (w, h))  # resize to integer multiple of 32
						_snake_case            =     [np.array(m.convert('L'					).resize((w, h)			,   resample=PIL_INTERPOLATION['nearest']					)					)[None, :] for m in mask]
						_snake_case            =     np.concatenate(__A			,   axis=0					)
						_snake_case            =     mask.astype(np.floataa					) / 2_5_5.0
						_snake_case            =     0
						_snake_case            =     1
						_snake_case            =     torch.from_numpy(__A					)
			elif isinstance(mask[0]			,   torch.Tensor					):
						_snake_case            =     torch.cat(__A			,   dim=0					)
			return mask




class   SCREAMING_SNAKE_CASE__	(      __A   ):





	'''simple docstring'''



	_UpperCAmelCase			:						Optional[int]         =   4_2
	_UpperCAmelCase			:						Tuple         =   4_2



	def __init__(    self      :       Any     ,    lowercase      :       Dict     ,    lowercase      :       List[Any]      ):


				'''simple docstring'''


				super().__init__()
				self.register_modules(unet=lowercase     ,    scheduler=lowercase      )





	@torch.no_grad()
	def __call__(    self      :       Any     ,    lowercase      :       Union[torch.Tensor, PIL.Image.Image]     ,    lowercase      :       Union[torch.Tensor, PIL.Image.Image]     ,    lowercase      :       int = 250     ,    lowercase      :       float = 0.0     ,    lowercase      :       int = 10     ,    lowercase      :       int = 10     ,    lowercase      :       Optional[Union[torch.Generator, List[torch.Generator]]] = None     ,    lowercase      :       Optional[str] = "pil"     ,    lowercase      :       bool = True     ,    ):


				'''simple docstring'''


				_snake_case            =     image

				_snake_case            =     _preprocess_image(lowercase      )
				_snake_case            =     original_image.to(device=self.device     ,    dtype=self.unet.dtype      )
				_snake_case            =     _preprocess_mask(lowercase      )
				_snake_case            =     mask_image.to(device=self.device     ,    dtype=self.unet.dtype      )

				_snake_case            =     original_image.shape[0]

				# sample gaussian noise to begin the loop
				if isinstance(lowercase     ,    lowercase      ) and len(lowercase      ) != batch_size:
							raise ValueError(
							    f'''You have passed a list of generators of length {len(lowercase      )}, but requested an effective batch'''
							    f''' size of {batch_size}. Make sure the batch size matches the length of the generators.'''      )

				_snake_case            =     original_image.shape
				_snake_case            =     randn_tensor(lowercase     ,    generator=lowercase     ,    device=self.device     ,    dtype=self.unet.dtype      )

				# set step values
				self.scheduler.set_timesteps(lowercase     ,    lowercase     ,    lowercase     ,    self.device      )
				_snake_case            =     eta

				_snake_case            =     self.scheduler.timesteps[0] + 1
				_snake_case            =     generator[0] if isinstance(lowercase     ,    lowercase      ) else generator
				for i, t in enumerate(self.progress_bar(self.scheduler.timesteps      )      ):
							if t < t_last:
										# predict the noise residual
										_snake_case            =     self.unet(lowercase     ,    lowercase      ).sample
										# compute previous image: x_t -> x_t-1
										_snake_case            =     self.scheduler.step(lowercase     ,    lowercase     ,    lowercase     ,    lowercase     ,    lowercase     ,    lowercase      ).prev_sample

							else:
										# compute the reverse: x_t-1 -> x_t
										_snake_case            =     self.scheduler.undo_step(lowercase     ,    lowercase     ,    lowercase      )
							_snake_case            =     t

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

				if not return_dict:
							return (image,)

				return ImagePipelineOutput(images=lowercase      )







'''simple docstring'''



from ..utils import DummyObject, requires_backends
class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Dict  ,   *UpperCAmelCase      :		List[Any]  ,   **UpperCAmelCase      :		Union[str, Any]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Any  ,   *UpperCAmelCase      :		Dict  ,   **UpperCAmelCase      :		List[str]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Dict  ,   *UpperCAmelCase      :		str  ,   **UpperCAmelCase      :		Any		)	->	Any:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Union[str, Any]  ,   *UpperCAmelCase      :		Optional[Any]  ,   **UpperCAmelCase      :		str		)	->	Optional[int]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Tuple  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		List[Any]		)	->	int:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		List[Any]  ,   *UpperCAmelCase      :		Union[str, Any]  ,   **UpperCAmelCase      :		List[str]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Any  ,   *UpperCAmelCase      :		int  ,   **UpperCAmelCase      :		Optional[Any]		)	->	Any:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		str  ,   *UpperCAmelCase      :		Tuple  ,   **UpperCAmelCase      :		Union[str, Any]		)	->	Optional[int]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[int]  ,   *UpperCAmelCase      :		Dict  ,   **UpperCAmelCase      :		Optional[int]		)	->	List[str]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Union[str, Any]  ,   *UpperCAmelCase      :		Optional[Any]  ,   **UpperCAmelCase      :		int		)	->	Optional[int]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Tuple  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		Optional[int]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		int  ,   *UpperCAmelCase      :		int  ,   **UpperCAmelCase      :		Dict		)	->	Optional[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[int]  ,   *UpperCAmelCase      :		Dict  ,   **UpperCAmelCase      :		Union[str, Any]		)	->	List[str]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		str  ,   *UpperCAmelCase      :		Optional[int]  ,   **UpperCAmelCase      :		List[str]		)	->	str:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Dict  ,   *UpperCAmelCase      :		Union[str, Any]  ,   **UpperCAmelCase      :		List[Any]		)	->	Dict:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Union[str, Any]  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		Union[str, Any]		)	->	str:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[Any]  ,   *UpperCAmelCase      :		Optional[Any]  ,   **UpperCAmelCase      :		Optional[Any]		)	->	str:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[int]  ,   *UpperCAmelCase      :		Union[str, Any]  ,   **UpperCAmelCase      :		Dict		)	->	Dict:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		int  ,   *UpperCAmelCase      :		List[Any]  ,   **UpperCAmelCase      :		Tuple		)	->	Union[str, Any]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Any  ,   *UpperCAmelCase      :		int  ,   **UpperCAmelCase      :		Optional[Any]		)	->	str:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Union[str, Any]  ,   *UpperCAmelCase      :		List[str]  ,   **UpperCAmelCase      :		List[str]		)	->	Optional[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Union[str, Any]  ,   *UpperCAmelCase      :		Union[str, Any]  ,   **UpperCAmelCase      :		List[str]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[Any]  ,   *UpperCAmelCase      :		Optional[Any]  ,   **UpperCAmelCase      :		Any		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Dict  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		Optional[Any]		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[int]  ,   *UpperCAmelCase      :		Optional[int]  ,   **UpperCAmelCase      :		Any		)	->	Any:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Tuple  ,   *UpperCAmelCase      :		List[str]  ,   **UpperCAmelCase      :		Optional[int]		)	->	List[str]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Union[str, Any]  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		int		)	->	Tuple:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[int]  ,   *UpperCAmelCase      :		Union[str, Any]  ,   **UpperCAmelCase      :		Dict		)	->	int:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		List[str]  ,   *UpperCAmelCase      :		Dict  ,   **UpperCAmelCase      :		Dict		)	->	List[Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		str  ,   *UpperCAmelCase      :		Optional[Any]  ,   **UpperCAmelCase      :		str		)	->	int:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[int]  ,   *UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		Optional[int]		)	->	Optional[int]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[int]  ,   *UpperCAmelCase      :		Dict  ,   **UpperCAmelCase      :		Optional[Any]		)	->	Dict:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		str  ,   *UpperCAmelCase      :		str  ,   **UpperCAmelCase      :		Any		)	->	int:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[int]  ,   *UpperCAmelCase      :		str  ,   **UpperCAmelCase      :		Any		)	->	Optional[int]:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[int]  ,   *UpperCAmelCase      :		Tuple  ,   **UpperCAmelCase      :		Any		)	->	Dict:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Optional[int]  ,   *UpperCAmelCase      :		Optional[int]  ,   **UpperCAmelCase      :		Optional[Any]		)	->	Dict:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)





class UpperCAmelCase_       (     metaclass=__A					):




      """simple docstring"""




      UpperCamelCase_             =      ['''flax''']






      def __init__(			self      :		Optional[Any]  ,   *UpperCAmelCase      :		str  ,   **UpperCAmelCase      :		int		)	->	Tuple:


       '''simple docstring'''

       requires_backends(self  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Dict  ,   *UpperCAmelCase      :		List[Any]  ,   **UpperCAmelCase      :		Optional[int]		)	->	str:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)






      @classmethod
      def 					A__   (			cls      :		Union[str, Any]  ,   *UpperCAmelCase      :		List[Any]  ,   **UpperCAmelCase      :		Union[str, Any]		)	->	Union[str, Any]:


       '''simple docstring'''

       requires_backends(cls  ,   ['''flax''']		)



