
from __future__ import annotations

import math
import random
from typing import Any





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					Tuple					):
					__A       =					[]
					__A       =					0
					__A       =					0






	def 							UpperCamelCase_    (			self   :					List[Any]					):
					return self.head == self.tail






	def 							UpperCamelCase_    (			self   :					Union[str, Any]				,A   :					Any					):
					self.data.append(A					)
					__A       =					self.tail + 1






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






	def 							UpperCamelCase_    (			self   :					str					):
					return self.tail - self.head







	def 							UpperCamelCase_    (			self   :					List[str]					):
					print(self.data					)
					print("**************"					)
					print(self.data[self.head : self.tail]					)





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					str				,A   :					Any					):
					__A       =					data
					__A       =					None
					__A       =					None
					__A       =					1






	def 							UpperCamelCase_    (			self   :					Optional[Any]					):
					return self.data






	def 							UpperCamelCase_    (			self   :					Optional[int]					):
					return self.left






	def 							UpperCamelCase_    (			self   :					int					):
					return self.right






	def 							UpperCamelCase_    (			self   :					List[Any]					):
					return self.height






	def 							UpperCamelCase_    (			self   :					Optional[int]				,A   :					Any					):
					__A       =					data






	def 							UpperCamelCase_    (			self   :					Any				,A   :					MyNode | None					):
					__A       =					node






	def 							UpperCamelCase_    (			self   :					Tuple				,A   :					MyNode | None					):
					__A       =					node







	def 							UpperCamelCase_    (			self   :					Dict				,A   :					int					):
					__A       =					height





def 		UpperCAmelCase     (      a_		)						->      int:







				"""simple docstring"""



				if node is None:
								return 0
				return node.get_height()


def 		UpperCAmelCase     (      a_						,  a_		)						->      int:







				"""simple docstring"""



				if a > b:
								return a
				return b


def 		UpperCAmelCase     (      a_		)						->      MyNode:







				"""simple docstring"""



				print("left rotation node:"						,  node.get_data()		)
				__A       =					node.get_left()
				assert ret is not None
				node.set_left(ret.get_right()		)
				ret.set_right(a_		)
				__A       =					my_max(get_height(node.get_right()		)						,  get_height(node.get_left()		)		) + 1
				node.set_height(a_		)
				__A       =					my_max(get_height(ret.get_right()		)						,  get_height(ret.get_left()		)		) + 1
				ret.set_height(a_		)
				return ret


def 		UpperCAmelCase     (      a_		)						->      MyNode:







				"""simple docstring"""



				print("right rotation node:"						,  node.get_data()		)
				__A       =					node.get_right()
				assert ret is not None
				node.set_right(ret.get_left()		)
				ret.set_left(a_		)
				__A       =					my_max(get_height(node.get_right()		)						,  get_height(node.get_left()		)		) + 1
				node.set_height(a_		)
				__A       =					my_max(get_height(ret.get_right()		)						,  get_height(ret.get_left()		)		) + 1
				ret.set_height(a_		)
				return ret


def 		UpperCAmelCase     (      a_		)						->      MyNode:







				"""simple docstring"""



				__A       =					node.get_left()
				assert left_child is not None
				node.set_left(left_rotation(a_		)		)
				return right_rotation(a_		)


def 		UpperCAmelCase     (      a_		)						->      MyNode:







				"""simple docstring"""



				__A       =					node.get_right()
				assert right_child is not None
				node.set_right(right_rotation(a_		)		)
				return left_rotation(a_		)


def 		UpperCAmelCase     (      a_						,  a_		)						->      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
												__A       =					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
																__A       =					right_rotation(a_		)
												else:
																__A       =					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:
												__A       =					node.get_right()
												assert right_child is not None
												if data < right_child.get_data():
																__A       =					rl_rotation(a_		)
												else:
																__A       =					left_rotation(a_		)
				__A       =					my_max(get_height(node.get_right()		)						,  get_height(node.get_left()		)		) + 1
				node.set_height(a_		)
				return node


def 		UpperCAmelCase     (      a_		)						->      Any:







				"""simple docstring"""



				while True:
								__A       =					root.get_right()
								if right_child is None:
												break
								__A       =					right_child
				return root.get_data()


def 		UpperCAmelCase     (      a_		)						->      Any:







				"""simple docstring"""



				while True:
								__A       =					root.get_left()
								if left_child is None:
												break
								__A       =					left_child
				return root.get_data()


def 		UpperCAmelCase     (      a_						,  a_		)						->      MyNode | None:







				"""simple docstring"""



				__A       =					root.get_left()
				__A       =					root.get_right()
				if root.get_data() == data:
								if left_child is not None and right_child is not None:
												__A       =					get_left_most(a_		)
												root.set_data(a_		)
												root.set_right(del_node(a_						,  a_		)		)
								elif left_child is not None:
												__A       =					left_child
								elif right_child is not None:
												__A       =					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()		):
												__A       =					left_rotation(a_		)
								else:
												__A       =					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()		):
												__A       =					right_rotation(a_		)
								else:
												__A       =					lr_rotation(a_		)
				__A       =					my_max(get_height(root.get_right()		)						,  get_height(root.get_left()		)		) + 1
				root.set_height(a_		)
				return root





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					List[Any]					):
					__A       =					None






	def 							UpperCamelCase_    (			self   :					List[str]					):
					return get_height(self.root					)






	def 							UpperCamelCase_    (			self   :					Optional[int]				,A   :					Any					):
					print("insert:" + str(A					)					)
					__A       =					insert_node(self.root				,A					)






	def 							UpperCamelCase_    (			self   :					Optional[Any]				,A   :					Any					):
					print("delete:" + str(A					)					)
					if self.root is None:
									print("Tree is empty!"					)
									return
					__A       =					del_node(self.root				,A					)







	def __str__(			self   :					Any				,):  # a level traversale, gives a more intuitive look on the tree
					__A       =					""
					__A       =					MyQueue()
					q.push(self.root					)
					__A       =					self.get_height()
					if layer == 0:
									return output
					__A       =					0
					while not q.is_empty():
									__A       =					q.pop()
									__A       =					" " * 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
									__A       =					cnt + 1
									for i in range(1_00					):
													if cnt == math.pow(2				,A					) - 1:
																	__A       =					layer - 1
																	if layer == 0:
																					output += "\n*************************************"
																					return output
																	output += "\n"
																	break
					output += "\n*************************************"
					return output





def 		UpperCAmelCase     (      )						->      None:







				"""simple docstring"""



				import doctest

				doctest.testmod()


if __name__ == "__main__":
					_test()
					SCREAMING_SNAKE_CASE				:Dict									=							AVLtree()
					SCREAMING_SNAKE_CASE				:Optional[int]									=							list(range(10))
					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))


import gc
import unittest

from parameterized import parameterized

from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow


if is_flax_available():
		import jax
		import jax.numpy as jnp







@slow
@require_flax
class 							lowerCAmelCase__   ( unittest.TestCase						):

						def 			A_					(      self							,				a							,				a					)       ->   Optional[int]:


								'''simple docstring'''

								return F'gaussian_noise_s={seed}_shape={"_".join([str(a					) for s in shape]					)}.npy'

						def 			A_					(      self					)       ->   List[Any]:


								'''simple docstring'''

								super().tearDown()
								gc.collect()

						def 			A_					(      self							,				a=0							,				a=(4, 4, 64, 64)							,				a=False					)       ->   Optional[int]:


								'''simple docstring'''

								_UpperCamelCase         =						jnp.bfloataa if fpaa else jnp.floataa
								_UpperCamelCase         =						jnp.array(load_hf_numpy(self.get_file_format(a							,				a					)					)							,				dtype=a					)
								return image

						def 			A_					(      self							,				a=False							,				a="CompVis/stable-diffusion-v1-4"					)       ->   Any:


								'''simple docstring'''

								_UpperCamelCase         =						jnp.bfloataa if fpaa else jnp.floataa
								_UpperCamelCase         =						"""bf16""" if fpaa else None

								_UpperCamelCase     ,						_UpperCamelCase         =						FlaxUNetaDConditionModel.from_pretrained(
								    a							,				subfolder="""unet"""							,				dtype=a							,				revision=a					)
								return model, params

						def 			A_					(      self							,				a=0							,				a=(4, 77, 7_68)							,				a=False					)       ->   Tuple:


								'''simple docstring'''

								_UpperCamelCase         =						jnp.bfloataa if fpaa else jnp.floataa
								_UpperCamelCase         =						jnp.array(load_hf_numpy(self.get_file_format(a							,				a					)					)							,				dtype=a					)
								return hidden_states

						@parameterized.expand(
						    [
						        # fmt: off
						        [83, 4, [-0.2323, -0.1304, 0.0813, -0.3093, -0.0919, -0.1571, -0.1125, -0.5806]],
						        [17, 0.55, [-0.0831, -0.2443, 0.0901, -0.0919, 0.3396, 0.0103, -0.3743, 0.0701]],
						        [8, 0.89, [-0.4863, 0.0859, 0.0875, -0.1658, 0.9199, -0.0114, 0.4839, 0.4639]],
						        [3, 10_00, [-0.5649, 0.2402, -0.5518, 0.1248, 1.1328, -0.2443, -0.0325, -1.0078]],
						        # fmt: on
						    ]					)
						def 			A_					(      self							,				a							,				a							,				a					)       ->   Any:


								'''simple docstring'''

								_UpperCamelCase     ,						_UpperCamelCase         =						self.get_unet_model(model_id="""CompVis/stable-diffusion-v1-4"""							,				fpaa=a					)
								_UpperCamelCase         =						self.get_latents(a							,				fpaa=a					)
								_UpperCamelCase         =						self.get_encoder_hidden_states(a							,				fpaa=a					)

								_UpperCamelCase         =						model.apply(
								    {"""params""": params}							,				a							,				jnp.array(a							,				dtype=jnp.intaa					)							,				encoder_hidden_states=a							,				).sample

								assert sample.shape == latents.shape

								_UpperCamelCase         =						jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())					)							,				dtype=jnp.floataa					)
								_UpperCamelCase         =						jnp.array(a							,				dtype=jnp.floataa					)

								# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, in the same hardware
								assert jnp.allclose(a							,				a							,				atol=1e-2					)







						@parameterized.expand(
						    [
						        # fmt: off
						        [83, 4, [0.1514, 0.0807, 0.1624, 0.1016, -0.1896, 0.0263, 0.0677, 0.2310]],
						        [17, 0.55, [0.1164, -0.0216, 0.0170, 0.1589, -0.3120, 0.1005, -0.0581, -0.1458]],
						        [8, 0.89, [-0.1758, -0.0169, 0.1004, -0.1411, 0.1312, 0.1103, -0.1996, 0.2139]],
						        [3, 10_00, [0.1214, 0.0352, -0.0731, -0.1562, -0.0994, -0.0906, -0.2340, -0.0539]],
						        # fmt: on
						    ]					)
						def 			A_					(      self							,				a							,				a							,				a					)       ->   Any:


								'''simple docstring'''

								_UpperCamelCase     ,						_UpperCamelCase         =						self.get_unet_model(model_id="""stabilityai/stable-diffusion-2"""							,				fpaa=a					)
								_UpperCamelCase         =						self.get_latents(a							,				shape=(4, 4, 96, 96)							,				fpaa=a					)
								_UpperCamelCase         =						self.get_encoder_hidden_states(a							,				shape=(4, 77, 10_24)							,				fpaa=a					)

								_UpperCamelCase         =						model.apply(
								    {"""params""": params}							,				a							,				jnp.array(a							,				dtype=jnp.intaa					)							,				encoder_hidden_states=a							,				).sample

								assert sample.shape == latents.shape

								_UpperCamelCase         =						jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())					)							,				dtype=jnp.floataa					)
								_UpperCamelCase         =						jnp.array(a							,				dtype=jnp.floataa					)

								# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, on the same hardware
								assert jnp.allclose(a							,				a							,				atol=1e-2					)



