



from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

_snake_case		=  TypeVar("T")
_snake_case		=  TypeVar("U")



class   UpperCAmelCase_    (       Generic[T, U]):







							def __init__(   self,			__a,			__a):

														'''simple docstring'''

														_lowerCAmelCase     :							Union[str, Any]    =    key
														_lowerCAmelCase     :							str    =    val
														_lowerCAmelCase     :							Dict    =    None
														_lowerCAmelCase     :							List[Any]    =    None







							def __repr__(   self):

														'''simple docstring'''

														return (
														    f"Node: key: {self.key}, val: {self.val}, "
														    f"has next: {bool(self.next)}, has prev: {bool(self.prev)}"
														)



class   UpperCAmelCase_    (       Generic[T, U]):







							def __init__(   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Any    =    DoubleLinkedListNode(lowerCAmelCase__,			lowerCAmelCase__)
														_lowerCAmelCase     :							Union[str, Any]    =    DoubleLinkedListNode(lowerCAmelCase__,			lowerCAmelCase__)
														_lowerCAmelCase   ,    _lowerCAmelCase     :							List[str]    =    self.rear, self.head







							def __repr__(   self):

														'''simple docstring'''

														_lowerCAmelCase     :							List[str]    =    ["DoubleLinkedList"]
														_lowerCAmelCase     :							int    =    self.head
														while node.next is not None:
																					rep.append(str(lowerCAmelCase__))
																					_lowerCAmelCase     :							str    =    node.next
														rep.append(str(self.rear))
														return ",\n    ".join(lowerCAmelCase__)







							def    snake_case__      (   self,			__a):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[Any]    =    self.rear.prev

														# All nodes other than self.head are guaranteed to have non-None previous
														assert previous is not None

														_lowerCAmelCase     :							int    =    node
														_lowerCAmelCase     :							int    =    previous
														_lowerCAmelCase     :							Dict    =    node
														_lowerCAmelCase     :							str    =    self.rear







							def    snake_case__      (   self,			__a):

														'''simple docstring'''

														if node.prev is None or node.next is None:
																					return None

														_lowerCAmelCase     :							str    =    node.next
														_lowerCAmelCase     :							Optional[int]    =    node.prev
														_lowerCAmelCase     :							Optional[Any]    =    None
														_lowerCAmelCase     :							Union[str, Any]    =    None
														return node



class   UpperCAmelCase_    (       Generic[T, U]):
							lowerCamelCase__   			=		{}







							def __init__(   self,			__a):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[int]    =    DoubleLinkedList()
														_lowerCAmelCase     :							List[str]    =    capacity
														_lowerCAmelCase     :							Dict    =    0
														_lowerCAmelCase     :							Dict    =    0
														_lowerCAmelCase     :							List[str]    =    0
														_lowerCAmelCase     :							Tuple    =    {}







							def __repr__(   self):

														'''simple docstring'''

														return (
														    f"CacheInfo(hits={self.hits}, misses={self.miss}, "
														    f"capacity={self.capacity}, current size={self.num_keys})"
														)







							def __contains__(   self,			__a):

														'''simple docstring'''

														return key in self.cache







							def    snake_case__      (   self,			__a):

														'''simple docstring'''

														if key in self.cache:
																					self.hits += 1
																					_lowerCAmelCase     :							Optional[Any]    =    self.cache[key]
																					_lowerCAmelCase     :							str    =    self.list.remove(self.cache[key])
																					assert node == value_node

																					# node is guaranteed not None because it is in self.cache
																					assert node is not None
																					self.list.add(lowerCAmelCase__)
																					return node.val
														self.miss += 1
														return None







							def    snake_case__      (   self,			__a,			__a):

														'''simple docstring'''

														if key not in self.cache:
																					if self.num_keys >= self.capacity:
																												# delete first node (oldest) when over capacity
																												_lowerCAmelCase     :							List[Any]    =    self.list.head.next

																												# guaranteed to have a non-None first node when num_keys > 0
																												# explain to type checker via assertions
																												assert first_node is not None
																												assert first_node.key is not None
																												assert (
																												    self.list.remove(lowerCAmelCase__) is not None
																												)  # node guaranteed to be in list assert node.key is not None

																												del self.cache[first_node.key]
																												self.num_keys -= 1
																					_lowerCAmelCase     :							str    =    DoubleLinkedListNode(lowerCAmelCase__,			lowerCAmelCase__)
																					self.list.add(self.cache[key])
																					self.num_keys += 1

														else:
																					# bump node to the end of the list, update value
																					_lowerCAmelCase     :							Optional[int]    =    self.list.remove(self.cache[key])
																					assert node is not None  # node guaranteed to be in list
																					_lowerCAmelCase     :							Optional[int]    =    value
																					self.list.add(lowerCAmelCase__)







							@classmethod
							def    snake_case__      (   cls,			__a = 128):

														'''simple docstring'''

														def cache_decorator_inner(__a) -> Callable[..., U]:
																					def cache_decorator_wrapper(*__a) -> U:
																												if func not in cls.decorator_function_to_instance_map:
																																			_lowerCAmelCase     :							Any    =    LRUCache(lowerCAmelCase__)

																												_lowerCAmelCase     :							Any    =    cls.decorator_function_to_instance_map[func].get(args[0])
																												if result is None:
																																			_lowerCAmelCase     :							Any    =    func(*lowerCAmelCase__)
																																			cls.decorator_function_to_instance_map[func].put(args[0],			lowerCAmelCase__)
																												return result

																					def cache_info() -> LRUCache[T, U]:
																												return cls.decorator_function_to_instance_map[func]

																					setattr(lowerCAmelCase__,			"cache_info",			lowerCAmelCase__)  # noqa: B010

																					return cache_decorator_wrapper

														return cache_decorator_inner


if __name__ == "__main__":
						import doctest

						doctest.testmod()




"""simple docstring"""




import unittest

import numpy as np

from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    load_numpy,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)


if is_onnx_available():
	import onnxruntime as ort
@nightly
@require_onnxruntime
@require_torch_gpu
class 					lowerCAmelCase	(					unittest.TestCase    ):




		'''simple docstring'''







		@property
		def 							__A						(	self				)     ->							List[Any]:
								return (
								    "CUDAExecutionProvider",
								    {
								        "gpu_mem_limit": "15000000000",  # 15GB
								        "arena_extend_strategy": "kSameAsRequested",
								    },
								)







		@property
		def 							__A						(	self				)     ->							List[str]:
								SCREAMING_SNAKE_CASE													=					ort.SessionOptions()
								SCREAMING_SNAKE_CASE													=					False
								return options







		def 							__A						(	self				)     ->							Dict:
								SCREAMING_SNAKE_CASE													=					load_image(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/overture-creations-5sI6fQgYIuo.png'				)
								SCREAMING_SNAKE_CASE													=					load_image(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/overture-creations-5sI6fQgYIuo_mask.png'				)
								SCREAMING_SNAKE_CASE													=					load_numpy(
								    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
								    '/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy'				)

								# using the PNDM scheduler by default
								SCREAMING_SNAKE_CASE													=					OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
								    'CompVis/stable-diffusion-v1-4'						,       revision='onnx'						,       safety_checker=lowerCAmelCase__						,       feature_extractor=lowerCAmelCase__						,       provider=self.gpu_provider						,       sess_options=self.gpu_options						,       )
								pipe.set_progress_bar_config(disable=lowerCAmelCase__				)

								SCREAMING_SNAKE_CASE													=					'A red cat sitting on a park bench'

								SCREAMING_SNAKE_CASE													=					np.random.RandomState(0				)
								SCREAMING_SNAKE_CASE													=					pipe(
								    prompt=lowerCAmelCase__						,       image=lowerCAmelCase__						,       mask_image=lowerCAmelCase__						,       strength=0.75						,       guidance_scale=7.5						,       num_inference_steps=15						,       generator=lowerCAmelCase__						,       output_type='np'						,       )

								SCREAMING_SNAKE_CASE													=					output.images[0]

								assert image.shape == (512, 512, 3)
								assert np.abs(expected_image - image				).max() < 1e-2


