



import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin

@skip_mps
class 					_A (			__UpperCAmelCase   ,__UpperCAmelCase   ,unittest.TestCase					):
							UpperCamelCase__						:					List[Any]		      =		IFInpaintingPipeline
							UpperCamelCase__						:					Dict		      =		TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'''width''', '''height'''}
							UpperCamelCase__						:					Dict		      =		TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
							UpperCamelCase__						:					str		      =		PipelineTesterMixin.required_optional_params - {'''latents'''}



							def 	_lowerCamelCase    (	self							:  List[str]):


											'''simple docstring'''

											return self._get_dummy_components()



							def 	_lowerCamelCase    (	self							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  Tuple=0):


											'''simple docstring'''

											if str(__SCREAMING_SNAKE_CASE).startswith('''mps'''):
															__a		 =       torch.manual_seed(__SCREAMING_SNAKE_CASE)
											else:
															__a		 =       torch.Generator(device=__SCREAMING_SNAKE_CASE).manual_seed(__SCREAMING_SNAKE_CASE)

											__a		 =       floats_tensor((1, 3, 32, 32)  ,	rng=random.Random(__SCREAMING_SNAKE_CASE)).to(__SCREAMING_SNAKE_CASE)
											__a		 =       floats_tensor((1, 3, 32, 32)  ,	rng=random.Random(__SCREAMING_SNAKE_CASE)).to(__SCREAMING_SNAKE_CASE)

											__a		 =       {
											    '''prompt''': '''A painting of a squirrel eating a burger''',
											    '''image''': image,
											    '''mask_image''': mask_image,
											    '''generator''': generator,
											    '''num_inference_steps''': 2,
											    '''output_type''': '''numpy''',
											}

											return inputs



							@unittest.skipIf(
							    torch_device != '''cuda''' or not is_xformers_available()  ,	reason='''XFormers attention is only available with CUDA and `xformers` installed'''  ,	)
							def 	_lowerCamelCase    (	self							:  Tuple):


											'''simple docstring'''

											self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3)



							def 	_lowerCamelCase    (	self							:  int):


											'''simple docstring'''

											self._test_save_load_optional_components()



							@unittest.skipIf(torch_device != '''cuda'''  ,	reason='''float16 requires CUDA''')
							def 	_lowerCamelCase    (	self							:  Optional[Any]):


											'''simple docstring'''

											super().test_save_load_floataa(expected_max_diff=1E-1)



							def 	_lowerCamelCase    (	self							:  Optional[int]):


											'''simple docstring'''

											self._test_attention_slicing_forward_pass(expected_max_diff=1E-2)



							def 	_lowerCamelCase    (	self							:  int):


											'''simple docstring'''

											self._test_save_load_local()





							def 	_lowerCamelCase    (	self							:  Optional[Any]):


											'''simple docstring'''

											self._test_inference_batch_single_identical(
											    expected_max_diff=1E-2  ,	)










# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


__snake_case		:List[str]   	=  re.compile(r'''^(?P<major>\d+)''' r'''\.(?P<minor>\d+)''' r'''\.(?P<patch>\d+)$''')

@total_ordering
@dataclass
class 					_A :
       UpperCamelCase__						:					str
       UpperCamelCase__						:					Optional[str]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None
       UpperCamelCase__						:					Optional[Union[str, int]]		      =		None



       def 	_lowerCamelCase    (	self							:  Union[str, Any]):


           '''simple docstring'''

           __a ,     __a ,     __a		 =       _str_to_version_tuple(self.version_str)



       def __repr__(	self							:  Tuple):


           '''simple docstring'''

           return F'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'



       @property
       def 	_lowerCamelCase    (	self							:  Optional[int]):


           '''simple docstring'''

           return self.major, self.minor, self.patch



       def 	_lowerCamelCase    (	self							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Optional[int]):


           '''simple docstring'''

           if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE):
               return Version(__SCREAMING_SNAKE_CASE)
           elif isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE):
               return other
           raise TypeError(F'{other} (type {type(__SCREAMING_SNAKE_CASE)}) cannot be compared to version.')



       def __eq__(	self							:  int  ,	__SCREAMING_SNAKE_CASE							:  Any):


           '''simple docstring'''

           try:
               __a		 =       self._validate_operand(__SCREAMING_SNAKE_CASE)
           except (TypeError, ValueError):
               return False
           else:
               return self.tuple == other.tuple



       def __lt__(	self							:  str  ,	__SCREAMING_SNAKE_CASE							:  Tuple):


           '''simple docstring'''

           __a		 =       self._validate_operand(__SCREAMING_SNAKE_CASE)
           return self.tuple < other.tuple



       def __hash__(	self							:  Optional[Any]):


           '''simple docstring'''

           return hash(_version_tuple_to_str(self.tuple))



       @classmethod
       def 	_lowerCamelCase    (	cls							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       {f.name for f in dataclasses.fields(cls)}
           return cls(**{k: v for k, v in dic.items() if k in field_names})





       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           return self.version_str





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       _VERSION_REG.match(_UpperCAmelCase       )
    if not res:
        raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'       )
    return tuple(int(_UpperCAmelCase       ) for v in [res.group('''major'''       ), res.group('''minor'''       ), res.group('''patch'''       )]       )





def   __snake_case			(    _UpperCAmelCase       ):
    return ".".join(str(_UpperCAmelCase       ) for v in version_tuple       )





