


"""simple docstring"""




import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
lowerCAmelCase__							=				sys.version_info >= (3, 10)



def        _lowerCamelCase ( __a=None,							__a=None    ):
		return field(default_factory=lambda: default,							metadata=__a    )





@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      42







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      field(default='''toto'''       ,			metadata={'''help''': '''help message'''}   )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      False
							UpperCAmelCase__						     =      True
							UpperCAmelCase__						     =      None







class  snake_case     (							_a   ):
							UpperCAmelCase__						     =      """titi"""
							UpperCAmelCase__						     =      """toto"""







class  snake_case     (							_a   ):
							UpperCAmelCase__						     =      """titi"""
							UpperCAmelCase__						     =      """toto"""
							UpperCAmelCase__						     =      42







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      "toto"

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = BasicEnum(self.foo    )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      "toto"

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = MixedTypeEnum(self.foo    )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      None
							UpperCAmelCase__						     =      field(default=_a       ,			metadata={'''help''': '''help message'''}   )
							UpperCAmelCase__						     =      None
							UpperCAmelCase__						     =      list_field(default=[]   )
							UpperCAmelCase__						     =      list_field(default=[]   )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      list_field(default=[]   )
							UpperCAmelCase__						     =      list_field(default=[1, 2, 3]   )
							UpperCAmelCase__						     =      list_field(default=['''Hallo''', '''Bonjour''', '''Hello''']   )
							UpperCAmelCase__						     =      list_field(default=[0.1, 0.2, 0.3]   )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      field()
							UpperCAmelCase__						     =      field()
							UpperCAmelCase__						     =      field()

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = BasicEnum(self.required_enum    )







@dataclass
class  snake_case     :
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      field()
							UpperCAmelCase__						     =      None
							UpperCAmelCase__						     =      field(default='''toto'''       ,			metadata={'''help''': '''help message'''}   )
							UpperCAmelCase__						     =      list_field(default=['''Hallo''', '''Bonjour''', '''Hello''']   )


if is_python_no_less_than_3_10:





						@dataclass
						class  snake_case     :
													UpperCAmelCase__						     =      False
													UpperCAmelCase__						     =      True
													UpperCAmelCase__						     =      None







						@dataclass
						class  snake_case     :
													UpperCAmelCase__						     =      None
													UpperCAmelCase__						     =      field(default=_a       ,			metadata={'''help''': '''help message'''}   )
													UpperCAmelCase__						     =      None
													UpperCAmelCase__						     =      list_field(default=[]   )
													UpperCAmelCase__						     =      list_field(default=[]   )





class  snake_case     (							unittest.TestCase   ):

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									self.assertEqual(len(a._actions    )       ,       len(b._actions    )    )
									for x, y in zip(a._actions       ,       b._actions    ):
											SCREAMING_SNAKE_CASE_						 = {k: v for k, v in vars(snake_case_    ).items() if k != '''container'''}
											SCREAMING_SNAKE_CASE_						 = {k: v for k, v in vars(snake_case_    ).items() if k != '''container'''}

											# Choices with mixed type have custom function as "type"
											# So we need to compare results directly for equality
											if xx.get('''choices'''       ,       snake_case_    ) and yy.get('''choices'''       ,       snake_case_    ):
													for expected_choice in yy["choices"] + xx["choices"]:
															self.assertEqual(xx['''type'''](snake_case_    )       ,       yy['''type'''](snake_case_    )    )
													del xx["type"], yy["type"]

											self.assertEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument('''--bar'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument('''--baz'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument('''--flag'''       ,       type=snake_case_       ,       default=snake_case_       ,       const=snake_case_       ,       nargs='''?'''    )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

									SCREAMING_SNAKE_CASE_						 = ['''--foo''', '''1''', '''--baz''', '''quux''', '''--bar''', '''0.5''']
									((SCREAMING_SNAKE_CASE_						) ,						)						 = parser.parse_args_into_dataclasses(snake_case_       ,       look_for_args_file=snake_case_    )
									self.assertFalse(example.flag    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo'''       ,       default=42       ,       type=snake_case_    )
									expected.add_argument('''--baz'''       ,       default='''toto'''       ,       type=snake_case_       ,       help='''help message'''    )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo'''       ,       type=snake_case_       ,       default=snake_case_       ,       const=snake_case_       ,       nargs='''?'''    )
									expected.add_argument('''--baz'''       ,       type=snake_case_       ,       default=snake_case_       ,       const=snake_case_       ,       nargs='''?'''    )
									# A boolean no_* argument always has to come after its "default: True" regular counter-part
									# and its default must be set to False
									expected.add_argument('''--no_baz'''       ,       action='''store_false'''       ,       default=snake_case_       ,       dest='''baz'''    )
									expected.add_argument('''--opt'''       ,       type=snake_case_       ,       default=snake_case_    )

									SCREAMING_SNAKE_CASE_						 = [WithDefaultBoolExample]
									if is_python_no_less_than_3_10:
											dataclass_types.append(snake_case_    )

									for dataclass_type in dataclass_types:
											SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )
											self.argparsersEqual(snake_case_       ,       snake_case_    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args([]    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       baz=snake_case_       ,       opt=snake_case_    )    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''--no_baz''']    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       baz=snake_case_       ,       opt=snake_case_    )    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''--baz''']    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       baz=snake_case_       ,       opt=snake_case_    )    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''True''', '''--baz''', '''True''', '''--opt''', '''True''']    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       baz=snake_case_       ,       opt=snake_case_    )    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''False''', '''--baz''', '''False''', '''--opt''', '''False''']    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       baz=snake_case_       ,       opt=snake_case_    )    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument(
									    '''--foo'''       ,       default='''toto'''       ,       choices=['''titi''', '''toto''', 42]       ,       type=make_choice_type_function(['''titi''', '''toto''', 42]    )       ,       )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args([]    )
									self.assertEqual(args.foo       ,       '''toto'''    )
									SCREAMING_SNAKE_CASE_						 = parser.parse_args_into_dataclasses([]    )[0]
									self.assertEqual(enum_ex.foo       ,       MixedTypeEnum.toto    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''titi''']    )
									self.assertEqual(args.foo       ,       '''titi'''    )
									SCREAMING_SNAKE_CASE_						 = parser.parse_args_into_dataclasses(['''--foo''', '''titi''']    )[0]
									self.assertEqual(enum_ex.foo       ,       MixedTypeEnum.titi    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''42''']    )
									self.assertEqual(args.foo       ,       42    )
									SCREAMING_SNAKE_CASE_						 = parser.parse_args_into_dataclasses(['''--foo''', '''42''']    )[0]
									self.assertEqual(enum_ex.foo       ,       MixedTypeEnum.fourtytwo    )

							def _lowercase					(self    ):

									"""simple docstring"""







									@dataclass
									class  snake_case     :
																UpperCAmelCase__						     =      "toto"







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument(
									    '''--foo'''       ,       default='''toto'''       ,       choices=('''titi''', '''toto''', 42)       ,       type=make_choice_type_function(['''titi''', '''toto''', 42]    )       ,       )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args([]    )
									self.assertEqual(args.foo       ,       '''toto'''    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''titi''']    )
									self.assertEqual(args.foo       ,       '''titi'''    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args(['''--foo''', '''42''']    )
									self.assertEqual(args.foo       ,       42    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo_int'''       ,       nargs='''+'''       ,       default=[]       ,       type=snake_case_    )
									expected.add_argument('''--bar_int'''       ,       nargs='''+'''       ,       default=[1, 2, 3]       ,       type=snake_case_    )
									expected.add_argument('''--foo_str'''       ,       nargs='''+'''       ,       default=['''Hallo''', '''Bonjour''', '''Hello''']       ,       type=snake_case_    )
									expected.add_argument('''--foo_float'''       ,       nargs='''+'''       ,       default=[0.1, 0.2, 0.3]       ,       type=snake_case_    )

									self.argparsersEqual(snake_case_       ,       snake_case_    )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args([]    )
									self.assertEqual(
									    snake_case_       ,       Namespace(foo_int=[]       ,       bar_int=[1, 2, 3]       ,       foo_str=['''Hallo''', '''Bonjour''', '''Hello''']       ,       foo_float=[0.1, 0.2, 0.3]    )       ,       )

									SCREAMING_SNAKE_CASE_						 = parser.parse_args('''--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7'''.split()    )
									self.assertEqual(snake_case_       ,       Namespace(foo_int=[1]       ,       bar_int=[2, 3]       ,       foo_str=['''a''', '''b''', '''c''']       ,       foo_float=[0.1, 0.7]    )    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo'''       ,       default=snake_case_       ,       type=snake_case_    )
									expected.add_argument('''--bar'''       ,       default=snake_case_       ,       type=snake_case_       ,       help='''help message'''    )
									expected.add_argument('''--baz'''       ,       default=snake_case_       ,       type=snake_case_    )
									expected.add_argument('''--ces'''       ,       nargs='''+'''       ,       default=[]       ,       type=snake_case_    )
									expected.add_argument('''--des'''       ,       nargs='''+'''       ,       default=[]       ,       type=snake_case_    )

									SCREAMING_SNAKE_CASE_						 = [OptionalExample]
									if is_python_no_less_than_3_10:
											dataclass_types.append(snake_case_    )

									for dataclass_type in dataclass_types:
											SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

											self.argparsersEqual(snake_case_       ,       snake_case_    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args([]    )
											self.assertEqual(snake_case_       ,       Namespace(foo=snake_case_       ,       bar=snake_case_       ,       baz=snake_case_       ,       ces=[]       ,       des=[]    )    )

											SCREAMING_SNAKE_CASE_						 = parser.parse_args('''--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3'''.split()    )
											self.assertEqual(snake_case_       ,       Namespace(foo=12       ,       bar=3.14       ,       baz='''42'''       ,       ces=['''a''', '''b''', '''c''']       ,       des=[1, 2, 3]    )    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--required_list'''       ,       nargs='''+'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument('''--required_str'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument(
									    '''--required_enum'''       ,       type=make_choice_type_function(['''titi''', '''toto''']    )       ,       choices=['''titi''', '''toto''']       ,       required=snake_case_       ,       )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = argparse.ArgumentParser()
									expected.add_argument('''--foo'''       ,       type=snake_case_       ,       required=snake_case_    )
									expected.add_argument(
									    '''--required_enum'''       ,       type=make_choice_type_function(['''titi''', '''toto''']    )       ,       choices=['''titi''', '''toto''']       ,       required=snake_case_       ,       )
									expected.add_argument('''--opt'''       ,       type=snake_case_       ,       default=snake_case_    )
									expected.add_argument('''--baz'''       ,       default='''toto'''       ,       type=snake_case_       ,       help='''help message'''    )
									expected.add_argument('''--foo_str'''       ,       nargs='''+'''       ,       default=['''Hallo''', '''Bonjour''', '''Hello''']       ,       type=snake_case_    )
									self.argparsersEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = {
									    '''foo''': 12,
									    '''bar''': 3.14,
									    '''baz''': '''42''',
									    '''flag''': True,
									}

									SCREAMING_SNAKE_CASE_						 = parser.parse_dict(snake_case_    )[0]
									SCREAMING_SNAKE_CASE_						 = BasicExample(**snake_case_    )
									self.assertEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = {
									    '''foo''': 12,
									    '''bar''': 3.14,
									    '''baz''': '''42''',
									    '''flag''': True,
									    '''extra''': 42,
									}

									self.assertRaises(snake_case_       ,       parser.parse_dict       ,       snake_case_       ,       allow_extra_keys=snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = {
									    '''foo''': 12,
									    '''bar''': 3.14,
									    '''baz''': '''42''',
									    '''flag''': True,
									}
									with tempfile.TemporaryDirectory() as tmp_dir:
											SCREAMING_SNAKE_CASE_						 = os.path.join(snake_case_       ,       '''temp_json'''    )
											os.mkdir(snake_case_    )
											with open(temp_local_path + '''.json'''       ,       '''w+'''    ) as f:
													json.dump(snake_case_       ,       snake_case_    )
											SCREAMING_SNAKE_CASE_						 = parser.parse_yaml_file(Path(temp_local_path + '''.json'''    )    )[0]

									SCREAMING_SNAKE_CASE_						 = BasicExample(**snake_case_    )
									self.assertEqual(snake_case_       ,       snake_case_    )

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )

									SCREAMING_SNAKE_CASE_						 = {
									    '''foo''': 12,
									    '''bar''': 3.14,
									    '''baz''': '''42''',
									    '''flag''': True,
									}
									with tempfile.TemporaryDirectory() as tmp_dir:
											SCREAMING_SNAKE_CASE_						 = os.path.join(snake_case_       ,       '''temp_yaml'''    )
											os.mkdir(snake_case_    )
											with open(temp_local_path + '''.yaml'''       ,       '''w+'''    ) as f:
													yaml.dump(snake_case_       ,       snake_case_    )
											SCREAMING_SNAKE_CASE_						 = parser.parse_yaml_file(Path(temp_local_path + '''.yaml'''    )    )[0]
									SCREAMING_SNAKE_CASE_						 = BasicExample(**snake_case_    )
									self.assertEqual(snake_case_       ,       snake_case_    )







							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = HfArgumentParser(snake_case_    )
									self.assertIsNotNone(snake_case_    )

"""simple docstring"""




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



def        _lowerCamelCase ( __a    ):
		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    ):
				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(__a,							axis=0    )
				SCREAMING_SNAKE_CASE_						 = np.array(__a    ).astype(np.floataa    ) / 2_5_5.0
				SCREAMING_SNAKE_CASE_						 = image.transpose(0,							3,							1,							2    )
				SCREAMING_SNAKE_CASE_						 = 2.0 * image - 1.0
				SCREAMING_SNAKE_CASE_						 = torch.from_numpy(__a    )
		elif isinstance(image[0],							torch.Tensor    ):
				SCREAMING_SNAKE_CASE_						 = torch.cat(__a,							dim=0    )
		return image



def        _lowerCamelCase ( __a    ):
		if isinstance(__a,							torch.Tensor    ):
				return mask
		elif isinstance(__a,							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(__a,							axis=0    )
				SCREAMING_SNAKE_CASE_						 = mask.astype(np.floataa    ) / 2_5_5.0
				SCREAMING_SNAKE_CASE_						 = 0
				SCREAMING_SNAKE_CASE_						 = 1
				SCREAMING_SNAKE_CASE_						 = torch.from_numpy(__a    )
		elif isinstance(mask[0],							torch.Tensor    ):
				SCREAMING_SNAKE_CASE_						 = torch.cat(__a,							dim=0    )
		return mask





class  snake_case     (							__lowercase   ):
							UpperCAmelCase__						     =      42
							UpperCAmelCase__						     =      42

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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







							@torch.no_grad()
							def __call__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_ = 2_50       ,       SCREAMING_SNAKE_CASE_ = 0.0       ,       SCREAMING_SNAKE_CASE_ = 10       ,       SCREAMING_SNAKE_CASE_ = 10       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = "pil"       ,       SCREAMING_SNAKE_CASE_ = True       ,       ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = image

									SCREAMING_SNAKE_CASE_						 = _preprocess_image(SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = original_image.to(device=self.device       ,       dtype=self.unet.dtype    )
									SCREAMING_SNAKE_CASE_						 = _preprocess_mask(SCREAMING_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(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ) and len(SCREAMING_SNAKE_CASE_    ) != batch_size:
											raise ValueError(
											    f'You have passed a list of generators of length {len(SCREAMING_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(SCREAMING_SNAKE_CASE_       ,       generator=SCREAMING_SNAKE_CASE_       ,       device=self.device       ,       dtype=self.unet.dtype    )

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

									SCREAMING_SNAKE_CASE_						 = self.scheduler.timesteps[0] + 1
									SCREAMING_SNAKE_CASE_						 = generator[0] if isinstance(SCREAMING_SNAKE_CASE_       ,       SCREAMING_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(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ).sample
													# compute previous image: x_t -> x_t-1
													SCREAMING_SNAKE_CASE_						 = self.scheduler.step(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ).prev_sample

											else:
													# compute the reverse: x_t-1 -> x_t
													SCREAMING_SNAKE_CASE_						 = self.scheduler.undo_step(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_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(SCREAMING_SNAKE_CASE_    )

									if not return_dict:
											return (image,)

									return ImagePipelineOutput(images=SCREAMING_SNAKE_CASE_    )