

class 							UpperCAmelCase_						:
							"""simple docstring"""







							def __init__(     self			,				_a			,				_a=None			,				_a=None			)       ->       List[str]:
												_a      :       List[Any]   =						data
												_a      :       List[str]   =						previous
												_a      :       Union[str, Any]   =						next_node


							def __str__(     self			)       ->       str:
												return F"""{self.data}"""


							def 							__lowercase							(     self			)       ->       int:
												return self.data


							def 							__lowercase							(     self			)       ->       Union[str, Any]:
												return self.next




							def 							__lowercase							(     self			)       ->       str:
												return self.previous



class 							UpperCAmelCase_						:
							"""simple docstring"""







							def __init__(     self			,				_a			)       ->       str:
												_a      :       int   =						head


							def __iter__(     self			)       ->       List[Any]:
												return self




							def 							__lowercase							(     self			)       ->       Optional[int]:
												if not self.current:
																	raise StopIteration
												else:
																	_a      :       Optional[int]   =						self.current.get_data()
																	_a      :       Dict   =						self.current.get_next()
																	return value



class 							UpperCAmelCase_						:
							"""simple docstring"""







							def __init__(     self			)       ->       str:
												_a      :       Tuple   =						None  # First node in list
												_a      :       List[str]   =						None  # Last node in list


							def __str__(     self			)       ->       List[str]:
												_a      :       Optional[int]   =						self.head
												_a      :       int   =						[]
												while current is not None:
																	nodes.append(current.get_data()			)
																	_a      :       Optional[Any]   =						current.get_next()
												return " ".join(str(_a			) for node in nodes			)


							def __contains__(     self			,				_a			)       ->       Union[str, Any]:
												_a      :       Optional[Any]   =						self.head
												while current:
																	if current.get_data() == value:
																						return True
																	_a      :       Optional[Any]   =						current.get_next()
												return False


							def __iter__(     self			)       ->       Dict:
												return LinkedListIterator(self.head			)


							def 							__lowercase							(     self			)       ->       Any:
												if self.head:
																	return self.head.get_data()
												return None


							def 							__lowercase							(     self			)       ->       Tuple:
												if self.tail:
																	return self.tail.get_data()
												return None


							def 							__lowercase							(     self			,				_a			)       ->       None:
												if self.head is None:
																	_a      :       str   =						node
																	_a      :       Tuple   =						node
												else:
																	self.insert_before_node(self.head			,				_a			)


							def 							__lowercase							(     self			,				_a			)       ->       None:
												if self.head is None:
																	self.set_head(_a			)
												else:
																	self.insert_after_node(self.tail			,				_a			)


							def 							__lowercase							(     self			,				_a			)       ->       None:
												_a      :       str   =						Node(_a			)
												if self.head is None:
																	self.set_head(_a			)
												else:
																	self.set_tail(_a			)


							def 							__lowercase							(     self			,				_a			,				_a			)       ->       None:
												_a      :       List[str]   =						node
												_a      :       str   =						node.previous

												if node.get_previous() is None:
																	_a      :       Optional[int]   =						node_to_insert
												else:
																	_a      :       List[str]   =						node_to_insert

												_a      :       List[str]   =						node_to_insert


							def 							__lowercase							(     self			,				_a			,				_a			)       ->       None:
												_a      :       Union[str, Any]   =						node
												_a      :       List[str]   =						node.next

												if node.get_next() is None:
																	_a      :       Any   =						node_to_insert
												else:
																	_a      :       List[str]   =						node_to_insert

												_a      :       Union[str, Any]   =						node_to_insert


							def 							__lowercase							(     self			,				_a			,				_a			)       ->       None:
												_a      :       List[Any]   =						1
												_a      :       Any   =						Node(_a			)
												_a      :       Any   =						self.head
												while node:
																	if current_position == position:
																						self.insert_before_node(_a			,				_a			)
																						return
																	current_position += 1
																	_a      :       Tuple   =						node.next
												self.insert_after_node(self.tail			,				_a			)


							def 							__lowercase							(     self			,				_a			)       ->       Node:
												_a      :       Optional[Any]   =						self.head
												while node:
																	if node.get_data() == item:
																						return node
																	_a      :       Any   =						node.get_next()
												raise Exception('''Node not found'''			)


							def 							__lowercase							(     self			,				_a			)       ->       Union[str, Any]:
												if (node := self.get_node(_a			)) is not None:
																	if node == self.head:
																						_a      :       Optional[Any]   =						self.head.get_next()

																	if node == self.tail:
																						_a      :       Any   =						self.tail.get_previous()

																	self.remove_node_pointers(_a			)


							@staticmethod
							def 							__lowercase							(     _a			)       ->       None:
												if node.get_next():
																	_a      :       Optional[int]   =						node.previous

												if node.get_previous():
																	_a      :       List[Any]   =						node.next

												_a      :       Optional[int]   =						None
												_a      :       Tuple   =						None




							def 							__lowercase							(     self			)       ->       str:
												return self.head is None



def   __UpperCAmelCase					(      )     ->	None:

					"""simple docstring"""



if __name__ == "__main__":
			import doctest

			doctest.testmod()










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        __magic_name__	(				lowerCamelCase__     ,					lowerCamelCase__     ,					unittest.TestCase				):





     """simple docstring"""



     __UpperCamelCase            =  IFInpaintingPipeline
     __UpperCamelCase            =  TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'''width''', '''height'''}
     __UpperCamelCase            =  TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
     __UpperCamelCase            =  PipelineTesterMixin.required_optional_params - {'''latents'''}



     def     SCREAMING_SNAKE_CASE		(				self							:Optional[Any]	):





        '''simple docstring'''




        return self._get_dummy_components()



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]      ,   snake_case							:str      ,   snake_case							:List[Any]=0	):





        '''simple docstring'''




        if str(snake_case	).startswith("mps"	):
           A_       :					Optional[Any]        =      torch.manual_seed(snake_case	)
        else:
           A_       :					Any        =      torch.Generator(device=snake_case	).manual_seed(snake_case	)

        A_       :					Optional[Any]        =      floats_tensor((1, 3, 32, 32)      ,   rng=random.Random(snake_case	)	).to(snake_case	)
        A_       :					Any        =      floats_tensor((1, 3, 32, 32)      ,   rng=random.Random(snake_case	)	).to(snake_case	)

        A_       :					List[Any]        =      {
            "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     SCREAMING_SNAKE_CASE		(				self							:Any	):





        '''simple docstring'''




        self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3	)



     def     SCREAMING_SNAKE_CASE		(				self							:Optional[int]	):





        '''simple docstring'''




        self._test_save_load_optional_components()



     @unittest.skipIf(torch_device != "cuda"      ,   reason="float16 requires CUDA"	)
     def     SCREAMING_SNAKE_CASE		(				self							:Union[str, Any]	):





        '''simple docstring'''




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



     def     SCREAMING_SNAKE_CASE		(				self							:Dict	):





        '''simple docstring'''




        self._test_attention_slicing_forward_pass(expected_max_diff=1e-2	)



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]	):





        '''simple docstring'''




        self._test_save_load_local()





     def     SCREAMING_SNAKE_CASE		(				self							:Dict	):





        '''simple docstring'''




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