






'''simple docstring'''






from __future__ import annotations

import math
import random
from typing import Any




class a_    :







   def __init__(self)			->      None:
      """simple docstring"""






      __snake_case				:      list[Any]     							= []
      __snake_case				:      int     							= 0
      __snake_case				:      int     							= 0







   def     SCREAMING_SNAKE_CASE__					(self)			->      bool:
      """simple docstring"""






      return self.head == self.tail







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      self.data.append(__a)
      __snake_case				:      Optional[Any]     							= self.tail + 1







   def     SCREAMING_SNAKE_CASE__					(self)			->      Any:
      """simple docstring"""






      __snake_case				:      Optional[int]     							= self.data[self.head]
      __snake_case				:      Union[str, Any]     							= self.head + 1
      return ret







   def     SCREAMING_SNAKE_CASE__					(self)			->      int:
      """simple docstring"""






      return self.tail - self.head







   def     SCREAMING_SNAKE_CASE__					(self)			->      None:
      """simple docstring"""






      print(self.data)
      print('**************')
      print(self.data[self.head : self.tail])




class a_    :







   def __init__(self					,   __a)			->      None:
      """simple docstring"""






      __snake_case				:      Tuple     							= data
      __snake_case				:      MyNode | None     							= None
      __snake_case				:      MyNode | None     							= None
      __snake_case				:      int     							= 1







   def     SCREAMING_SNAKE_CASE__					(self)			->      Any:
      """simple docstring"""






      return self.data







   def     SCREAMING_SNAKE_CASE__					(self)			->      MyNode | None:
      """simple docstring"""






      return self.left







   def     SCREAMING_SNAKE_CASE__					(self)			->      MyNode | None:
      """simple docstring"""






      return self.right







   def     SCREAMING_SNAKE_CASE__					(self)			->      int:
      """simple docstring"""






      return self.height







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      __snake_case				:      Optional[int]     							= data







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      __snake_case				:      List[str]     							= node







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      __snake_case				:      Tuple     							= node







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      __snake_case				:      List[str]     							= height




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode | None  )    -> int:







   """simple docstring"""
   if node is None:
      return 0
   return node.get_height()




def        _SCREAMING_SNAKE_CASE  (				A  :       int  ,		A  :       int  )    -> int:







   """simple docstring"""
   if a > b:
      return a
   return b




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> MyNode:







   """simple docstring"""
   print('left rotation node:'  ,		node.get_data()  )
   __snake_case				:      List[str]     							= node.get_left()
   assert ret is not None
   node.set_left(ret.get_right()  )
   ret.set_right(A  )
   __snake_case				:      Union[str, Any]     							= my_max(get_height(node.get_right()  )  ,		get_height(node.get_left()  )  ) + 1
   node.set_height(A  )
   __snake_case				:      Any     							= my_max(get_height(ret.get_right()  )  ,		get_height(ret.get_left()  )  ) + 1
   ret.set_height(A  )
   return ret




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> MyNode:







   """simple docstring"""
   print('right rotation node:'  ,		node.get_data()  )
   __snake_case				:      List[str]     							= node.get_right()
   assert ret is not None
   node.set_right(ret.get_left()  )
   ret.set_left(A  )
   __snake_case				:      Optional[Any]     							= my_max(get_height(node.get_right()  )  ,		get_height(node.get_left()  )  ) + 1
   node.set_height(A  )
   __snake_case				:      Optional[int]     							= my_max(get_height(ret.get_right()  )  ,		get_height(ret.get_left()  )  ) + 1
   ret.set_height(A  )
   return ret




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> MyNode:







   """simple docstring"""
   __snake_case				:      Dict     							= node.get_left()
   assert left_child is not None
   node.set_left(left_rotation(A  )  )
   return right_rotation(A  )




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> MyNode:







   """simple docstring"""
   __snake_case				:      List[str]     							= node.get_right()
   assert right_child is not None
   node.set_right(right_rotation(A  )  )
   return left_rotation(A  )




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode | None  ,		A  :       Any  )    -> MyNode | None:







   """simple docstring"""
   if node is None:
      return MyNode(A  )
   if data < node.get_data():
      node.set_left(insert_node(node.get_left()  ,		A  )  )
      if (
          get_height(node.get_left()  ) - get_height(node.get_right()  ) == 2
      ):  # an unbalance detected
         __snake_case				:      Optional[Any]     							= 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
            __snake_case				:      Union[str, Any]     							= right_rotation(A  )
         else:
            __snake_case				:      Any     							= lr_rotation(A  )
   else:
      node.set_right(insert_node(node.get_right()  ,		A  )  )
      if get_height(node.get_right()  ) - get_height(node.get_left()  ) == 2:
         __snake_case				:      Any     							= node.get_right()
         assert right_child is not None
         if data < right_child.get_data():
            __snake_case				:      List[str]     							= rl_rotation(A  )
         else:
            __snake_case				:      Dict     							= left_rotation(A  )
   __snake_case				:      Optional[int]     							= my_max(get_height(node.get_right()  )  ,		get_height(node.get_left()  )  ) + 1
   node.set_height(A  )
   return node




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> Any:







   """simple docstring"""
   while True:
      __snake_case				:      Optional[int]     							= root.get_right()
      if right_child is None:
         break
      __snake_case				:      Any     							= right_child
   return root.get_data()




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  )    -> Any:







   """simple docstring"""
   while True:
      __snake_case				:      Optional[Any]     							= root.get_left()
      if left_child is None:
         break
      __snake_case				:      Tuple     							= left_child
   return root.get_data()




def        _SCREAMING_SNAKE_CASE  (				A  :       MyNode  ,		A  :       Any  )    -> MyNode | None:







   """simple docstring"""
   __snake_case				:      Tuple     							= root.get_left()
   __snake_case				:      Union[str, Any]     							= root.get_right()
   if root.get_data() == data:
      if left_child is not None and right_child is not None:
         __snake_case				:      Tuple     							= get_left_most(A  )
         root.set_data(A  )
         root.set_right(del_node(A  ,		A  )  )
      elif left_child is not None:
         __snake_case				:      List[str]     							= left_child
      elif right_child is not None:
         __snake_case				:      Dict     							= 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(A  ,		A  )  )
   else:  # root.get_data() < data
      if right_child is None:
         return root
      else:
         root.set_right(del_node(A  ,		A  )  )

   if get_height(A  ) - get_height(A  ) == 2:
      assert right_child is not None
      if get_height(right_child.get_right()  ) > get_height(right_child.get_left()  ):
         __snake_case				:      Optional[Any]     							= left_rotation(A  )
      else:
         __snake_case				:      Optional[Any]     							= rl_rotation(A  )
   elif get_height(A  ) - get_height(A  ) == -2:
      assert left_child is not None
      if get_height(left_child.get_left()  ) > get_height(left_child.get_right()  ):
         __snake_case				:      List[Any]     							= right_rotation(A  )
      else:
         __snake_case				:      Union[str, Any]     							= lr_rotation(A  )
   __snake_case				:      str     							= my_max(get_height(root.get_right()  )  ,		get_height(root.get_left()  )  ) + 1
   root.set_height(A  )
   return root




class a_    :







   def __init__(self)			->      None:
      """simple docstring"""






      __snake_case				:      MyNode | None     							= None







   def     SCREAMING_SNAKE_CASE__					(self)			->      int:
      """simple docstring"""






      return get_height(self.root)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      print('insert:' + str(__a))
      __snake_case				:      Any     							= insert_node(self.root					,   __a)







   def     SCREAMING_SNAKE_CASE__					(self					,   __a)			->      None:
      """simple docstring"""






      print('delete:' + str(__a))
      if self.root is None:
         print('Tree is empty!')
         return
      __snake_case				:      Union[str, Any]     							= del_node(self.root					,   __a)







   def __str__(self					,   )			->      str:  # a level traversale, gives a more intuitive look on the tree
      """simple docstring"""






      __snake_case				:      List[str]     							= ''
      __snake_case				:      Optional[int]     							= MyQueue()
      q.push(self.root)
      __snake_case				:      Union[str, Any]     							= self.get_height()
      if layer == 0:
         return output
      __snake_case				:      Union[str, Any]     							= 0
      while not q.is_empty():
         __snake_case				:      Dict     							= q.pop()
         __snake_case				:      Tuple     							= ' ' * int(math.pow(2					,   layer - 1))
         output += space
         if node is None:
            output += "*"
            q.push(__a)
            q.push(__a)
         else:
            output += str(node.get_data())
            q.push(node.get_left())
            q.push(node.get_right())
         output += space
         __snake_case				:      Optional[Any]     							= cnt + 1
         for i in range(1_0_0):
            if cnt == math.pow(2					,   __a) - 1:
               __snake_case				:      Dict     							= layer - 1
               if layer == 0:
                  output += "\n*************************************"
                  return output
               output += "\n"
               break
      output += "\n*************************************"
      return output




def        _SCREAMING_SNAKE_CASE  (				)    -> None:







   """simple docstring"""
   import doctest

   doctest.testmod()


if __name__ == "__main__":
      _test()
      __A    	=   AVLtree()
      __A    	=   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 unittest

import torch

from diffusers import VQModel
from diffusers.utils import floats_tensor, torch_device
from diffusers.utils.testing_utils import enable_full_determinism

from .test_modeling_common import ModelTesterMixin, UNetTesterMixin


enable_full_determinism()




class a_    (    UpperCamelCase_		,      UpperCamelCase_		,      unittest.TestCase							):
   _snake_case        =							VQModel
   _snake_case        =							"""sample"""







   @property
   def     SCREAMING_SNAKE_CASE__					(self					,   __a=(3_2, 3_2))			->      str:
      """simple docstring"""






      __snake_case				:      Dict     							= 4
      __snake_case				:      Optional[int]     							= 3

      __snake_case				:      str     							= floats_tensor((batch_size, num_channels) + sizes).to(__a)

      return {"sample": image}







   @property
   def     SCREAMING_SNAKE_CASE__					(self)			->      Union[str, Any]:
      """simple docstring"""






      return (3, 3_2, 3_2)







   @property
   def     SCREAMING_SNAKE_CASE__					(self)			->      List[Any]:
      """simple docstring"""






      return (3, 3_2, 3_2)







   def     SCREAMING_SNAKE_CASE__					(self)			->      Optional[int]:
      """simple docstring"""






      __snake_case				:      Optional[Any]     							= {
          'block_out_channels': [3_2, 6_4],
          'in_channels': 3,
          'out_channels': 3,
          'down_block_types': ['DownEncoderBlock2D', 'DownEncoderBlock2D'],
          'up_block_types': ['UpDecoderBlock2D', 'UpDecoderBlock2D'],
          'latent_channels': 3,
      }
      __snake_case				:      List[Any]     							= self.dummy_input
      return init_dict, inputs_dict







   def     SCREAMING_SNAKE_CASE__					(self)			->      Any:
      """simple docstring"""






      pass







   def     SCREAMING_SNAKE_CASE__					(self)			->      int:
      """simple docstring"""






      pass







   def     SCREAMING_SNAKE_CASE__					(self)			->      Union[str, Any]:
      """simple docstring"""






      __snake_case							,__snake_case				:      List[Any]     							= VQModel.from_pretrained('fusing/vqgan-dummy'					,   output_loading_info=__a)
      self.assertIsNotNone(__a)
      self.assertEqual(len(loading_info['missing_keys'])					,   0)

      model.to(__a)
      __snake_case				:      Any     							= model(**self.dummy_input)

      assert image is not None, "Make sure output is not None"







   def     SCREAMING_SNAKE_CASE__					(self)			->      Optional[int]:
      """simple docstring"""






      __snake_case				:      Union[str, Any]     							= VQModel.from_pretrained('fusing/vqgan-dummy')
      model.to(__a).eval()

      torch.manual_seed(0)
      if torch.cuda.is_available():
         torch.cuda.manual_seed_all(0)

      __snake_case				:      Tuple     							= torch.randn(1					,   model.config.in_channels					,   model.config.sample_size					,   model.config.sample_size)
      __snake_case				:      Optional[int]     							= image.to(__a)
      with torch.no_grad():
         __snake_case				:      List[Any]     							= model(__a).sample

      __snake_case				:      int     							= output[0, -1, -3:, -3:].flatten().cpu()
      # fmt: off
      __snake_case				:      int     							= torch.tensor([-0.0_153, -0.4_044, -0.1_880, -0.5_161, -0.2_418, -0.4_072, -0.1_612, -0.0_633, -0.0_143])
      # fmt: on
      self.assertTrue(torch.allclose(__a					,   __a					,   atol=1E-3))