






from __future__ import annotations

import math
import random
from typing import Any


class     _a							:






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  []
     UpperCamelCase_						=  0
     UpperCamelCase_						=  0




  def  _UpperCAmelCase  (  self			)      ->			bool:
     return self.head == self.tail




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     self.data.append(_UpperCAmelCase			)
     UpperCamelCase_						=  self.tail + 1




  def  _UpperCAmelCase  (  self			)      ->			Any:
     UpperCamelCase_						=  self.data[self.head]
     UpperCamelCase_						=  self.head + 1
     return ret




  def  _UpperCAmelCase  (  self			)      ->			int:
     return self.tail - self.head




  def  _UpperCAmelCase  (  self			)      ->			None:
     print(self.data			)
     print('**************'			)
     print(self.data[self.head : self.tail]			)




class     _a							:






  """simple docstring"""





  def __init__(  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  data
     UpperCamelCase_						=  None
     UpperCamelCase_						=  None
     UpperCamelCase_						=  1




  def  _UpperCAmelCase  (  self			)      ->			Any:
     return self.data




  def  _UpperCAmelCase  (  self			)      ->			MyNode | None:
     return self.left




  def  _UpperCAmelCase  (  self			)      ->			MyNode | None:
     return self.right




  def  _UpperCAmelCase  (  self			)      ->			int:
     return self.height




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  data




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  node




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  node




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  height






def      _snake_case     (__lowercase):
   if node is None:
      return 0
   return node.get_height()






def      _snake_case     (__lowercase     ,   __lowercase):
   if a > b:
      return a
   return b






def      _snake_case     (__lowercase):
   print('left rotation node:'     ,   node.get_data())
   UpperCamelCase_						=  node.get_left()
   assert ret is not None
   node.set_left(ret.get_right())
   ret.set_right(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   UpperCamelCase_						=  my_max(get_height(ret.get_right())     ,   get_height(ret.get_left())) + 1
   ret.set_height(__lowercase)
   return ret






def      _snake_case     (__lowercase):
   print('right rotation node:'     ,   node.get_data())
   UpperCamelCase_						=  node.get_right()
   assert ret is not None
   node.set_right(ret.get_left())
   ret.set_left(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   UpperCamelCase_						=  my_max(get_height(ret.get_right())     ,   get_height(ret.get_left())) + 1
   ret.set_height(__lowercase)
   return ret






def      _snake_case     (__lowercase):
   UpperCamelCase_						=  node.get_left()
   assert left_child is not None
   node.set_left(left_rotation(__lowercase))
   return right_rotation(__lowercase)






def      _snake_case     (__lowercase):
   UpperCamelCase_						=  node.get_right()
   assert right_child is not None
   node.set_right(right_rotation(__lowercase))
   return left_rotation(__lowercase)






def      _snake_case     (__lowercase     ,   __lowercase):
   if node is None:
      return MyNode(__lowercase)
   if data < node.get_data():
      node.set_left(insert_node(node.get_left()     ,   __lowercase))
      if (
          get_height(node.get_left()) - get_height(node.get_right()) == 2
      ):  # an unbalance detected
         UpperCamelCase_						=  node.get_left()
         assert left_child is not None
         if (
             data < left_child.get_data()
         ):  # new node is the left child of the left child
            UpperCamelCase_						=  right_rotation(__lowercase)
         else:
            UpperCamelCase_						=  lr_rotation(__lowercase)
   else:
      node.set_right(insert_node(node.get_right()     ,   __lowercase))
      if get_height(node.get_right()) - get_height(node.get_left()) == 2:
         UpperCamelCase_						=  node.get_right()
         assert right_child is not None
         if data < right_child.get_data():
            UpperCamelCase_						=  rl_rotation(__lowercase)
         else:
            UpperCamelCase_						=  left_rotation(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   return node






def      _snake_case     (__lowercase):
   while True:
      UpperCamelCase_						=  root.get_right()
      if right_child is None:
         break
      UpperCamelCase_						=  right_child
   return root.get_data()






def      _snake_case     (__lowercase):
   while True:
      UpperCamelCase_						=  root.get_left()
      if left_child is None:
         break
      UpperCamelCase_						=  left_child
   return root.get_data()






def      _snake_case     (__lowercase     ,   __lowercase):
   UpperCamelCase_						=  root.get_left()
   UpperCamelCase_						=  root.get_right()
   if root.get_data() == data:
      if left_child is not None and right_child is not None:
         UpperCamelCase_						=  get_left_most(__lowercase)
         root.set_data(__lowercase)
         root.set_right(del_node(__lowercase     ,   __lowercase))
      elif left_child is not None:
         UpperCamelCase_						=  left_child
      elif right_child is not None:
         UpperCamelCase_						=  right_child
      else:
         return None
   elif root.get_data() > data:
      if left_child is None:
         print('No such data')
         return root
      else:
         root.set_left(del_node(__lowercase     ,   __lowercase))
   else:  # root.get_data() < data
      if right_child is None:
         return root
      else:
         root.set_right(del_node(__lowercase     ,   __lowercase))

   if get_height(__lowercase) - get_height(__lowercase) == 2:
      assert right_child is not None
      if get_height(right_child.get_right()) > get_height(right_child.get_left()):
         UpperCamelCase_						=  left_rotation(__lowercase)
      else:
         UpperCamelCase_						=  rl_rotation(__lowercase)
   elif get_height(__lowercase) - get_height(__lowercase) == -2:
      assert left_child is not None
      if get_height(left_child.get_left()) > get_height(left_child.get_right()):
         UpperCamelCase_						=  right_rotation(__lowercase)
      else:
         UpperCamelCase_						=  lr_rotation(__lowercase)
   UpperCamelCase_						=  my_max(get_height(root.get_right())     ,   get_height(root.get_left())) + 1
   root.set_height(__lowercase)
   return root


class     _a							:






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  None




  def  _UpperCAmelCase  (  self			)      ->			int:
     return get_height(self.root			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     print('insert:' + str(_UpperCAmelCase			)			)
     UpperCamelCase_						=  insert_node(self.root		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     print('delete:' + str(_UpperCAmelCase			)			)
     if self.root is None:
        print('Tree is empty!'			)
        return
     UpperCamelCase_						=  del_node(self.root		,		_UpperCAmelCase			)




  def __str__(  self		,		)      ->			str:  # a level traversale, gives a more intuitive look on the tree
     UpperCamelCase_						=  ''
     UpperCamelCase_						=  MyQueue()
     q.push(self.root			)
     UpperCamelCase_						=  self.get_height()
     if layer == 0:
        return output
     UpperCamelCase_						=  0
     while not q.is_empty():
        UpperCamelCase_						=  q.pop()
        UpperCamelCase_						=  ' ' * int(math.pow(2		,		layer - 1			)			)
        output += space
        if node is None:
           output += "*"
           q.push(_UpperCAmelCase			)
           q.push(_UpperCAmelCase			)
        else:
           output += str(node.get_data()			)
           q.push(node.get_left()			)
           q.push(node.get_right()			)
        output += space
        UpperCamelCase_						=  cnt + 1
        for i in range(100			):
           if cnt == math.pow(2		,		_UpperCAmelCase			) - 1:
              UpperCamelCase_						=  layer - 1
              if layer == 0:
                 output += "\n*************************************"
                 return output
              output += "\n"
              break
     output += "\n*************************************"
     return output






def      _snake_case     ():
   import doctest

   doctest.testmod()


if __name__ == "__main__":
 _test()
 snake_case__   :						Optional[Any]													=   AVLtree()
 snake_case__   :						Union[str, Any]													=   list(range(1_0))
 random.shuffle(lst)
 for i in lst:
  t.insert(i)
  print(str(t))
 random.shuffle(lst)
 for i in lst:
  t.del_node(i)
  print(str(t))










"""simple docstring"""

import gc
import unittest

import numpy as np
import torch

from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu


enable_full_determinism()
@slow
@require_torch_gpu
class     lowerCAmelCase__						(	unittest.TestCase ):


	'''simple docstring'''







	def 			_lowerCAmelCase     (      self				:       List[Any]    )						->	str:





					"""simple docstring"""


					super().tearDown()
					gc.collect()
					torch.cuda.empty_cache()





	def 			_lowerCAmelCase     (      self				:       Any    )						->	str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							int							=     StableDiffusionKDiffusionPipeline.from_pretrained('CompVis/stable-diffusion-v1-4'    )
					SCREAMING_SNAKE_CASE						:							Dict							=     sd_pipe.to(_SCREAMING_SNAKE_CASE    )
					sd_pipe.set_progress_bar_config(disable=_SCREAMING_SNAKE_CASE    )

					sd_pipe.set_scheduler('sample_euler'    )

					SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     'A painting of a squirrel eating a burger'
					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     torch.manual_seed(0    )
					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     sd_pipe([prompt]     ,       generator=_SCREAMING_SNAKE_CASE     ,       guidance_scale=9.0     ,       num_inference_steps=20     ,       output_type='np'    )

					SCREAMING_SNAKE_CASE						:							str							=     output.images

					SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     image[0, -3:, -3:, -1]

					assert image.shape == (1, 512, 512, 3)
					SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     np.array([0.0_4_4_7, 0.0_4_9_2, 0.0_4_6_8, 0.0_4_0_8, 0.0_3_8_3, 0.0_4_0_8, 0.0_3_5_4, 0.0_3_8_0, 0.0_3_3_9]    )

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





	def 			_lowerCAmelCase     (      self				:       Dict    )						->	Optional[int]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     StableDiffusionKDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2-1-base'    )
					SCREAMING_SNAKE_CASE						:							List[Any]							=     sd_pipe.to(_SCREAMING_SNAKE_CASE    )
					sd_pipe.set_progress_bar_config(disable=_SCREAMING_SNAKE_CASE    )

					sd_pipe.set_scheduler('sample_euler'    )

					SCREAMING_SNAKE_CASE						:							List[str]							=     'A painting of a squirrel eating a burger'
					SCREAMING_SNAKE_CASE						:							Optional[int]							=     torch.manual_seed(0    )
					SCREAMING_SNAKE_CASE						:							Dict							=     sd_pipe([prompt]     ,       generator=_SCREAMING_SNAKE_CASE     ,       guidance_scale=9.0     ,       num_inference_steps=20     ,       output_type='np'    )

					SCREAMING_SNAKE_CASE						:							Optional[int]							=     output.images

					SCREAMING_SNAKE_CASE						:							List[str]							=     image[0, -3:, -3:, -1]

					assert image.shape == (1, 512, 512, 3)
					SCREAMING_SNAKE_CASE						:							List[Any]							=     np.array([0.1_2_3_7, 0.1_3_2_0, 0.1_4_3_8, 0.1_3_5_9, 0.1_3_9_0, 0.1_1_3_2, 0.1_2_7_7, 0.1_1_7_5, 0.1_1_1_2]    )

					assert np.abs(image_slice.flatten() - expected_slice    ).max() < 5E-1







	def 			_lowerCAmelCase     (      self				:       Dict    )						->	Optional[Any]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Optional[int]							=     StableDiffusionKDiffusionPipeline.from_pretrained('stabilityai/stable-diffusion-2-1-base'    )
					SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     sd_pipe.to(_SCREAMING_SNAKE_CASE    )
					sd_pipe.set_progress_bar_config(disable=_SCREAMING_SNAKE_CASE    )

					sd_pipe.set_scheduler('sample_dpmpp_2m'    )

					SCREAMING_SNAKE_CASE						:							Optional[int]							=     'A painting of a squirrel eating a burger'
					SCREAMING_SNAKE_CASE						:							str							=     torch.manual_seed(0    )
					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     sd_pipe(
					    [prompt]     ,       generator=_SCREAMING_SNAKE_CASE     ,       guidance_scale=7.5     ,       num_inference_steps=15     ,       output_type='np'     ,       use_karras_sigmas=_SCREAMING_SNAKE_CASE     ,       )

					SCREAMING_SNAKE_CASE						:							int							=     output.images

					SCREAMING_SNAKE_CASE						:							List[Any]							=     image[0, -3:, -3:, -1]

					assert image.shape == (1, 512, 512, 3)
					SCREAMING_SNAKE_CASE						:							int							=     np.array(
					    [0.1_1_3_8_1_6_8_9, 0.1_2_1_1_2_9_2_1, 0.1_3_8_9_4_5_7, 0.1_2_5_4_9_6_0_6, 0.1_2_4_4_9_6_4, 0.1_0_8_3_1_5_1_7, 0.1_1_5_6_2_8_6_6, 0.1_0_8_6_7_8_1_6, 0.1_0_4_9_9_0_4_8]    )

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





