


"""simple docstring"""



from collections.abc import Callable







class _lowerCAmelCase				:







   def __init__(	self						,	UpperCamelCase__ = None						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      list      					=    []
       # Stores indexes of each item for supporting updates and deletion.
       snake_case    :      dict      					=    {}
       # Stores current size of heap.
       snake_case    :      Optional[Any]      					=    0
       # Stores function used to evaluate the score of an item on which basis ordering
       # will be done.
       snake_case    :      Optional[Any]      					=    key or (lambda UpperCamelCase__						: x)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Optional[int]:

       '''simple docstring'''




       return int((i - 1) / 2						) if i > 0 else None







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		str:

       '''simple docstring'''




       snake_case    :      Any      					=    int(2 * i + 1						)
       return left if 0 < left < self.size else None







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    int(2 * i + 2						)
       return right if 0 < right < self.size else None







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						)	->		str:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    (
           self.pos_map[self.arr[j][0]],
           self.pos_map[self.arr[i][0]],
       )
       # Then swap the items in the list.
       snake_case    :      int      					=    self.arr[j], self.arr[i]







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       return self.arr[i][1] < self.arr[j][1]







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Optional[Any]:

       '''simple docstring'''




       snake_case    :      str      					=    self._left(UpperCamelCase__						)
       snake_case    :      Optional[int]      					=    self._right(UpperCamelCase__						)
       snake_case    :      List[Any]      					=    i

       if left is not None and not self._cmp(UpperCamelCase__						,	UpperCamelCase__						):
           snake_case    :      Optional[Any]      					=    left
       if right is not None and not self._cmp(UpperCamelCase__						,	UpperCamelCase__						):
           snake_case    :      Union[str, Any]      					=    right

       return valid_parent







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Any      					=    self._parent(UpperCamelCase__						)
       while parent is not None and not self._cmp(UpperCamelCase__						,	UpperCamelCase__						):
           self._swap(UpperCamelCase__						,	UpperCamelCase__						)
           snake_case    :      Dict      					=    parent, self._parent(UpperCamelCase__						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Tuple      					=    self._get_valid_parent(UpperCamelCase__						)
       while valid_parent != index:
           self._swap(UpperCamelCase__						,	UpperCamelCase__						)
           snake_case    :      Optional[int]      					=    valid_parent, self._get_valid_parent(UpperCamelCase__						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						)	->		Dict:

       '''simple docstring'''




       if item not in self.pos_map:
           return
       snake_case    :      Optional[Any]      					=    self.pos_map[item]
       snake_case    :      List[str]      					=    [item, self.key(UpperCamelCase__						)]
       # Make sure heap is right in both up and down direction.
       # Ideally only one of them will make any change.
       self._heapify_up(UpperCamelCase__						)
       self._heapify_down(UpperCamelCase__						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       if item not in self.pos_map:
           return
       snake_case    :      int      					=    self.pos_map[item]
       del self.pos_map[item]
       snake_case    :      Any      					=    self.arr[self.size - 1]
       snake_case    :      int      					=    index
       self.size -= 1
       # Make sure heap is right in both up and down direction. Ideally only one
       # of them will make any change- so no performance loss in calling both.
       if self.size > index:
           self._heapify_up(UpperCamelCase__						)
           self._heapify_down(UpperCamelCase__						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__						)	->		Dict:

       '''simple docstring'''




       snake_case    :      List[str]      					=    len(self.arr						)
       if arr_len == self.size:
           self.arr.append([item, self.key(UpperCamelCase__						)]						)
       else:
           snake_case    :      Any      					=    [item, self.key(UpperCamelCase__						)]
       snake_case    :      Optional[int]      					=    self.size
       self.size += 1
       self._heapify_up(self.size - 1						)







   def  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       return self.arr[0] if self.size else None







   def  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      List[str]      					=    self.get_top()
       if top_item_tuple:
           self.delete_item(top_item_tuple[0]						)
       return top_item_tuple







def   __lowerCAmelCase						(						)	->						None:


    """simple docstring"""





    pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()













'''simple docstring'''







import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


_A	:			Union[str, Any]         =False

class _lowercase	(				unittest.TestCase		):
							pass



@slow
@require_torch_gpu
class _lowercase	(				unittest.TestCase		):




							def 		lowerCamelCase_				(							self:				Optional[int]     ):
														lowerCamelCase__					:	Tuple         =       VersatileDiffusionImageVariationPipeline.from_pretrained("""shi-labs/versatile-diffusion"""     )
														pipe.to(UpperCamelCase__     )
														pipe.set_progress_bar_config(disable=UpperCamelCase__     )

														lowerCamelCase__					:	Optional[int]         =       load_image(
														    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg"""     )
														lowerCamelCase__					:	List[Any]         =       torch.manual_seed(0     )
														lowerCamelCase__					:	List[Any]         =       pipe(
														    image=UpperCamelCase__			,							generator=UpperCamelCase__			,							guidance_scale=7.5			,							num_inference_steps=50			,							output_type="""numpy"""			,							).images

														lowerCamelCase__					:	List[str]         =       image[0, 253:256, 253:256, -1]

														assert image.shape == (1, 512, 512, 3)
														lowerCamelCase__					:	Tuple         =       np.array([0.0_441, 0.0_469, 0.0_507, 0.0_575, 0.0_632, 0.0_650, 0.0_865, 0.0_909, 0.0_945]     )

														assert np.abs(image_slice.flatten() - expected_slice     ).max() < 1e-2

