

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


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



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     Optional[int]:


      '''simple docstring'''


      warnings.warn(
          """The preprocess method is deprecated and will be removed in a future version. Please"""
          """ use VaeImageProcessor.preprocess instead"""				,		_SCREAMING_SNAKE_CASE				,		)
      if isinstance(_SCREAMING_SNAKE_CASE				,		torch.Tensor			):
            return image
      elif isinstance(_SCREAMING_SNAKE_CASE				,		PIL.Image.Image			):
            SCREAMING_SNAKE_CASE	=		[image]

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

            SCREAMING_SNAKE_CASE	=		[np.array(i.resize((w, h)				,		resample=PIL_INTERPOLATION["""lanczos"""]			)			)[None, :] for i in image]
            SCREAMING_SNAKE_CASE	=		np.concatenate(_SCREAMING_SNAKE_CASE				,		axis=0			)
            SCREAMING_SNAKE_CASE	=		np.array(_SCREAMING_SNAKE_CASE			).astype(np.floataa			) / 255.0
            SCREAMING_SNAKE_CASE	=		image.transpose(0				,		3				,		1				,		2			)
            SCREAMING_SNAKE_CASE	=		2.0 * image - 1.0
            SCREAMING_SNAKE_CASE	=		torch.from_numpy(_SCREAMING_SNAKE_CASE			)
      elif isinstance(image[0]				,		torch.Tensor			):
            SCREAMING_SNAKE_CASE	=		torch.cat(_SCREAMING_SNAKE_CASE				,		dim=0			)
      return image



def      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     List[Any]:


      '''simple docstring'''


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

      if isinstance(mask[0]				,		PIL.Image.Image			):
            SCREAMING_SNAKE_CASE,      SCREAMING_SNAKE_CASE	=		mask[0].size
            SCREAMING_SNAKE_CASE,      SCREAMING_SNAKE_CASE	=		(x - x % 32 for x in (w, h))  # resize to integer multiple of 32
            SCREAMING_SNAKE_CASE	=		[np.array(m.convert("""L"""			).resize((w, h)				,		resample=PIL_INTERPOLATION["""nearest"""]			)			)[None, :] for m in mask]
            SCREAMING_SNAKE_CASE	=		np.concatenate(_SCREAMING_SNAKE_CASE				,		axis=0			)
            SCREAMING_SNAKE_CASE	=		mask.astype(np.floataa			) / 255.0
            SCREAMING_SNAKE_CASE	=		0
            SCREAMING_SNAKE_CASE	=		1
            SCREAMING_SNAKE_CASE	=		torch.from_numpy(_SCREAMING_SNAKE_CASE			)
      elif isinstance(mask[0]				,		torch.Tensor			):
            SCREAMING_SNAKE_CASE	=		torch.cat(_SCREAMING_SNAKE_CASE				,		dim=0			)
      return mask



class 	UpperCamelCase__				(   _a     ):



     '''simple docstring'''

     __snake_case					:			UNetaDModel
     __snake_case					:			RePaintScheduler






     def __init__(							self		:					Union[str, Any]		,lowerCamelCase__		:					str		,lowerCamelCase__		:					Dict )  ->	Union[str, Any]:




           '''simple docstring'''


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






     @torch.no_grad()
     def __call__(							self		:					Any		,lowerCamelCase__		:					str		,lowerCamelCase__		:					Tuple		,lowerCamelCase__		:					int = 250		,lowerCamelCase__		:					Optional[Any] = 0.0		,lowerCamelCase__		:					Union[str, Any] = 10		,lowerCamelCase__		:					Optional[int] = 10		,lowerCamelCase__		:					str = None		,lowerCamelCase__		:					List[str] = "pil"		,lowerCamelCase__		:					Dict = True		,)  ->	Union[ImagePipelineOutput, Tuple]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		image

           SCREAMING_SNAKE_CASE	=		_preprocess_image(snake_case_ )
           SCREAMING_SNAKE_CASE	=		original_image.to(device=self.device		,dtype=self.unet.dtype )
           SCREAMING_SNAKE_CASE	=		_preprocess_mask(snake_case_ )
           SCREAMING_SNAKE_CASE	=		mask_image.to(device=self.device		,dtype=self.unet.dtype )

           SCREAMING_SNAKE_CASE	=		original_image.shape[0]

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

           SCREAMING_SNAKE_CASE	=		original_image.shape
           SCREAMING_SNAKE_CASE	=		randn_tensor(snake_case_		,generator=snake_case_		,device=self.device		,dtype=self.unet.dtype )

           # set step values
           self.scheduler.set_timesteps(snake_case_		,snake_case_		,snake_case_		,self.device )
           SCREAMING_SNAKE_CASE	=		eta

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

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

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

           if not return_dict:
                 return (image,)

           return ImagePipelineOutput(images=snake_case_ )









from ..utils import DummyObject, requires_backends

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Dict				=    ["sentencepiece"]






     def __init__(							self		:					int		,*lowerCamelCase__		:					Any		,**lowerCamelCase__		:					Any )  ->	str:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			str				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Dict				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Dict				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[str]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[str]				=    ["sentencepiece"]






     def __init__(							self		:					int		,*lowerCamelCase__		:					List[str]		,**lowerCamelCase__		:					str )  ->	Optional[int]:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			int				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Any				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Any				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Tuple				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Tuple				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			int				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Dict				=    ["sentencepiece"]






     def __init__(							self		:					int		,*lowerCamelCase__		:					Any		,**lowerCamelCase__		:					Dict )  ->	List[Any]:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			int				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			str				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Any				=    ["sentencepiece"]






     def __init__(							self		:					Dict		,*lowerCamelCase__		:					Tuple		,**lowerCamelCase__		:					str )  ->	int:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			List[str]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			str				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Optional[Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Optional[int]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Tuple				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Dict				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			str				=    ["sentencepiece"]






     def __init__(							self		:					int		,*lowerCamelCase__		:					str		,**lowerCamelCase__		:					str )  ->	Dict:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    ["sentencepiece"]






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




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )

class 	UpperCamelCase__				(   metaclass=lowerCAmelCase_     ):



     '''simple docstring'''

     __snake_case					:			Union[str, Any]				=    ["sentencepiece"]






     def __init__(							self		:					List[Any]		,*lowerCamelCase__		:					Tuple		,**lowerCamelCase__		:					Dict )  ->	Dict:




           '''simple docstring'''


           requires_backends(self		,["""sentencepiece"""] )


