






"""simple docstring"""


from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

__SCREAMING_SNAKE_CASE      =      TypeVar('T', bound=bool)




class 	__UpperCamelCase    (    Generic[T]	):
					def __init__(       self       :  Optional[Any]    ,   UpperCAmelCase       :  T      )  ->					None:
											lowerCAmelCase      :T				  = value
											lowerCAmelCase      :SkewNode[T] | None				  = None
											lowerCAmelCase      :SkewNode[T] | None				  = None
					@property
					def 					UpperCAmelCase__   (       self       :  Dict      )  ->					T:
											return self._value
					@staticmethod
					def 					UpperCAmelCase__   (       UpperCAmelCase       :  SkewNode[T] | None    ,   UpperCAmelCase       :  SkewNode[T] | None      )  ->					SkewNode[T] | None:
											if not roota:
																	return roota

											if not roota:
																	return roota

											if roota.value > roota.value:
																	lowerCAmelCase      :int				  = roota, roota

											lowerCAmelCase      :int				  = roota
											lowerCAmelCase      :Dict				  = roota.right
											lowerCAmelCase      :Optional[int]				  = roota.left
											lowerCAmelCase      :Optional[int]				  = SkewNode.merge(UpperCAmelCase    ,   UpperCAmelCase      )

											return result




class 	__UpperCamelCase    (    Generic[T]	):
					def __init__(       self       :  List[Any]    ,   UpperCAmelCase       :  Iterable[T] | None = ()      )  ->					None:
											lowerCAmelCase      :SkewNode[T] | None				  = None
											if data:
																	for item in data:
																							self.insert(UpperCAmelCase      )
					def __bool__(       self       :  Optional[int]      )  ->					bool:
											return self._root is not None
					def __iter__(       self       :  List[Any]      )  ->					Iterator[T]:
											lowerCAmelCase      :list[Any]				  = []
											while self:
																	result.append(self.pop()      )

											# Pushing items back to the heap not to clear it.
											for item in result:
																	self.insert(UpperCAmelCase      )

											return iter(UpperCAmelCase      )
					def 					UpperCAmelCase__   (       self       :  Optional[Any]    ,   UpperCAmelCase       :  T      )  ->					None:
											lowerCAmelCase      :str				  = SkewNode.merge(self._root    ,   SkewNode(UpperCAmelCase      )      )
					def 					UpperCAmelCase__   (       self       :  Union[str, Any]      )  ->					T | None:
											lowerCAmelCase      :str				  = self.top()
											lowerCAmelCase      :int				  = (
											    SkewNode.merge(self._root.left    ,   self._root.right      ) if self._root else None
											)

											return result
					def 					UpperCAmelCase__   (       self       :  str      )  ->					T:
											if not self._root:
																	raise IndexError('Can\'t get top element for the empty heap.'      )
											return self._root.value
					def 					UpperCAmelCase__   (       self       :  Union[str, Any]      )  ->					None:
											lowerCAmelCase      :Optional[Any]				  = None


if __name__ == "__main__":
		import doctest

		doctest.testmod()







"""simple docstring"""


import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference




@slow
@require_torch_gpu
class 	__UpperCamelCase    (    unittest.TestCase	):
					def 					UpperCAmelCase__   (       self       :  Union[str, Any]      )  ->					Optional[Any]:
											lowerCAmelCase      :Union[str, Any]				  = 'runwayml/stable-diffusion-v1-5'
											lowerCAmelCase      :Tuple				  = TextToVideoZeroPipeline.from_pretrained(UpperCAmelCase    ,   torch_dtype=torch.floataa      ).to('cuda'      )
											lowerCAmelCase      :Union[str, Any]				  = DDIMScheduler.from_config(pipe.scheduler.config      )
											lowerCAmelCase      :str				  = torch.Generator(device='cuda'      ).manual_seed(0      )

											lowerCAmelCase      :Any				  = 'A bear is playing a guitar on Times Square'
											lowerCAmelCase      :Optional[Any]				  = pipe(prompt=UpperCAmelCase    ,   generator=UpperCAmelCase      ).images

											lowerCAmelCase      :List[str]				  = load_pt(
											    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt'      )

											assert_mean_pixel_difference(UpperCAmelCase    ,   UpperCAmelCase      )