



"""simple docstring"""





class    _lowerCAmelCase    :





		"""simple docstring"""






		def __init__(					self							,    _lowercase							,    _lowercase   ) ->						List[Any]:







								'''simple docstring'''

								snake_case_   : Optional[Any]						=			name
								snake_case_   : str						=			val





		def __str__(					self   ) ->						Dict:







								'''simple docstring'''

								return f'{self.__class__.__name__}({self.name}, {self.val})'





		def __lt__(					self							,    _lowercase   ) ->						Tuple:







								'''simple docstring'''

								return self.val < other.val




class    _lowerCAmelCase    :





		"""simple docstring"""






		def __init__(					self							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : List[Any]						=			{}
								snake_case_   : Dict						=			{}
								snake_case_   : str						=			self.build_heap(_lowercase   )





		def __getitem__(					self							,    _lowercase   ) ->						List[Any]:







								'''simple docstring'''

								return self.get_value(_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								return (idx - 1) // 2





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Any:







								'''simple docstring'''

								return idx * 2 + 1





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						List[Any]:







								'''simple docstring'''

								return idx * 2 + 2





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								return self.heap_dict[key]





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : int						=			len(_lowercase   ) - 1
								snake_case_   : Optional[int]						=			self.get_parent_idx(_lowercase   )

								for idx, i in enumerate(_lowercase   ):
														snake_case_   : Dict						=			idx
														snake_case_   : Optional[int]						=			i.val

								for i in range(_lowercase							,    -1							,    -1   ):
														self.sift_down(_lowercase							,    _lowercase   )
								return array





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase   ) ->						Tuple:







								'''simple docstring'''

								while True:
														snake_case_   : Optional[int]						=			self.get_left_child_idx(_lowercase   )  # noqa: E741
														snake_case_   : Optional[Any]						=			self.get_right_child_idx(_lowercase   )

														snake_case_   : Union[str, Any]						=			idx
														if l < len(_lowercase   ) and array[l] < array[idx]:
																				snake_case_   : Dict						=			l
														if r < len(_lowercase   ) and array[r] < array[smallest]:
																				snake_case_   : str						=			r

														if smallest != idx:
																				snake_case_			,		snake_case_   : str						=			array[smallest], array[idx]
																				(
																				    (
																				    snake_case_
																				)			,		(
																				    snake_case_
																				)			,		
																				)   : List[str]						=			(
																				    self.idx_of_element[array[smallest]],
																				    self.idx_of_element[array[idx]],
																				)
																				snake_case_   : List[Any]						=			smallest
														else:
																				break





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						str:







								'''simple docstring'''

								snake_case_   : Union[str, Any]						=			self.get_parent_idx(_lowercase   )
								while p >= 0 and self.heap[p] > self.heap[idx]:
														snake_case_			,		snake_case_   : Dict						=			self.heap[idx], self.heap[p]
														snake_case_			,		snake_case_   : str						=			(
														    self.idx_of_element[self.heap[idx]],
														    self.idx_of_element[self.heap[p]],
														)
														snake_case_   : Union[str, Any]						=			p
														snake_case_   : Any						=			self.get_parent_idx(_lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								return self.heap[0]





		def    UpperCAmelCase__							(					self   ) ->						Any:







								'''simple docstring'''

								snake_case_			,		snake_case_   : List[str]						=			self.heap[-1], self.heap[0]
								snake_case_			,		snake_case_   : List[str]						=			(
								    self.idx_of_element[self.heap[-1]],
								    self.idx_of_element[self.heap[0]],
								)

								snake_case_   : Optional[int]						=			self.heap.pop()
								del self.idx_of_element[x]
								self.sift_down(0							,    self.heap   )
								return x





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						int:







								'''simple docstring'''

								self.heap.append(_lowercase   )
								snake_case_   : Optional[int]						=			len(self.heap   ) - 1
								snake_case_   : int						=			node.val
								self.sift_up(len(self.heap   ) - 1   )





		def    UpperCAmelCase__							(					self   ) ->						int:







								'''simple docstring'''

								return len(self.heap   ) == 0





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								assert (
								    self.heap[self.idx_of_element[node]].val > new_value
								), "newValue must be less that current value"
								snake_case_   : List[Any]						=			new_value
								snake_case_   : Any						=			new_value
								self.sift_up(self.idx_of_element[node]   )




__lowerCAmelCase       :					Any      					=					Node('''R''', -1)
__lowerCAmelCase       :					List[Any]      					=					Node('''B''', 6)
__lowerCAmelCase       :					Union[str, Any]      					=					Node('''A''', 3)
__lowerCAmelCase       :					Any      					=					Node('''X''', 1)
__lowerCAmelCase       :					Tuple      					=					Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
__lowerCAmelCase       :					List[str]      					=					MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
					print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
					print(i)

if __name__ == "__main__":
					import doctest

					doctest.testmod()






"""simple docstring"""





import argparse

import intel_extension_for_pytorch as ipex
import torch

from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline


__lowerCAmelCase       :					Optional[int]      					=					argparse.ArgumentParser('''Stable Diffusion script with intel optimization''', add_help=False)
parser.add_argument('''--dpm''', action='''store_true''', help='''Enable DPMSolver or not''')
parser.add_argument('''--steps''', default=None, type=int, help='''Num inference steps''')
__lowerCAmelCase       :					Optional[Any]      					=					parser.parse_args()


__lowerCAmelCase       :					Dict      					=					'''cpu'''
__lowerCAmelCase       :					Optional[Any]      					=					'''a lovely <dicoo> in red dress and hat, in the snowly and brightly night, with many brighly buildings'''

__lowerCAmelCase       :					Tuple      					=					'''path-to-your-trained-model'''
__lowerCAmelCase       :					List[Any]      					=					StableDiffusionPipeline.from_pretrained(model_id)
if args.dpm:
					__lowerCAmelCase       :					Optional[int]      					=					DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
__lowerCAmelCase       :					List[Any]      					=					pipe.to(device)

# to channels last
__lowerCAmelCase       :					Optional[Any]      					=					pipe.unet.to(memory_format=torch.channels_last)
__lowerCAmelCase       :					List[str]      					=					pipe.vae.to(memory_format=torch.channels_last)
__lowerCAmelCase       :					Optional[Any]      					=					pipe.text_encoder.to(memory_format=torch.channels_last)
if pipe.requires_safety_checker:
					__lowerCAmelCase       :					Dict      					=					pipe.safety_checker.to(memory_format=torch.channels_last)

# optimize with ipex
__lowerCAmelCase       :					Tuple      					=					torch.randn(2, 4, 64, 64)
__lowerCAmelCase       :					Any      					=					torch.rand(1) * 999
__lowerCAmelCase       :					List[str]      					=					torch.randn(2, 77, 768)
__lowerCAmelCase       :					Optional[int]      					=					(sample, timestep, encoder_hidden_status)
try:
					__lowerCAmelCase       :					List[Any]      					=					ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True, sample_input=input_example)
except Exception:
					__lowerCAmelCase       :					Optional[Any]      					=					ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True)
__lowerCAmelCase       :					Any      					=					ipex.optimize(pipe.vae.eval(), dtype=torch.bfloataa, inplace=True)
__lowerCAmelCase       :					int      					=					ipex.optimize(pipe.text_encoder.eval(), dtype=torch.bfloataa, inplace=True)
if pipe.requires_safety_checker:
					__lowerCAmelCase       :					Union[str, Any]      					=					ipex.optimize(pipe.safety_checker.eval(), dtype=torch.bfloataa, inplace=True)

# compute
__lowerCAmelCase       :					List[str]      					=					666
__lowerCAmelCase       :					Optional[int]      					=					torch.Generator(device).manual_seed(seed)
__lowerCAmelCase       :					List[Any]      					=					{'''generator''': generator}
if args.steps is not None:
					__lowerCAmelCase       :					Any      					=					args.steps

with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloataa):
					__lowerCAmelCase       :					str      					=					pipe(prompt, **generate_kwargs).images[0]

# save image
image.save('''generated.png''')

