

import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union

import flax
import jax.numpy as jnp

from ..utils import BaseOutput


a_						     =    'scheduler_config.json'






class _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           =1
			lowerCamelCase__           =2
			lowerCamelCase__           =3
			lowerCamelCase__           =4
			lowerCamelCase__           =5






@dataclass
class _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           =42






class _UpperCamelCase							:
			'''simple docstring'''







			lowerCamelCase__           =SCHEDULER_CONFIG_NAME
			lowerCamelCase__           =['dtype']
			lowerCamelCase__           =[]
			lowerCamelCase__           =True
			@classmethod
			def 							__UpperCamelCase (			cls							: Optional[Any]      ,      a							: Dict[str, Any] = None      ,      a							: Optional[str] = None      ,      a							: Union[str, Any]=False      ,      **a							: str      ,      )							->       Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       cls.load_config(
				    pretrained_model_name_or_path=a      ,      subfolder=a      ,      return_unused_kwargs=a      ,      **a      ,      )
				SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      int				     =       cls.from_config(a      ,      return_unused_kwargs=a      ,      **a	)

				if hasattr(a      ,      "create_state"	) and getattr(a      ,      "has_state"      ,      a	):
					SCREAMING_SNAKE_CASE   :      List[str]				     =       scheduler.create_state()

				if return_unused_kwargs:
					return scheduler, state, unused_kwargs

				return scheduler, state
			def 							__UpperCamelCase (			self							: Any      ,      a							: Union[str, os.PathLike]      ,      a							: bool = False      ,      **a							: Union[str, Any]	)							->       Union[str, Any]:

				"""simple docstring"""

				self.save_config(save_directory=a      ,      push_to_hub=a      ,      **a	)
			@property
			def 							__UpperCamelCase (			self							: Optional[Any]	)							->       str:

				"""simple docstring"""

				return self._get_compatibles()






			@classmethod
			def 							__UpperCamelCase (			cls							: List[Any]	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[str]				     =       list(set([cls.__name__] + cls._compatibles	)	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       importlib.import_module(__name__.split("."	)[0]	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       [
				    getattr(a      ,      a	) for c in compatible_classes_str if hasattr(a      ,      a	)
				]
				return compatible_classes

def  lowerCamelCase__ (					_a							,			_a):
	assert len(_a) >= x.ndim
	return jnp.broadcast_to(x.reshape(x.shape + (1,) * (len(_a) - x.ndim))							,			_a)

def  lowerCamelCase__ (					_a							,			_a=0.999							,			_a=jnp.floataa):

	def alpha_bar(_a):
		return math.cos((time_step + 0.008) / 1.008 * math.pi / 2) ** 2

	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       []
	for i in range(_a):
		SCREAMING_SNAKE_CASE   :      Optional[int]				     =       i / num_diffusion_timesteps
		SCREAMING_SNAKE_CASE   :      List[str]				     =       (i + 1) / num_diffusion_timesteps
		betas.append(min(1 - alpha_bar(_a) / alpha_bar(_a)							,			_a))
	return jnp.array(_a							,			dtype=_a)






@flax.struct.dataclass
class _UpperCamelCase							:
			'''simple docstring'''







			lowerCamelCase__           =42
			lowerCamelCase__           =42
			lowerCamelCase__           =42
			@classmethod
			def 							__UpperCamelCase (			cls							: int      ,      a							: int	)							->       Optional[int]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       scheduler.config

				if config.trained_betas is not None:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       jnp.asarray(config.trained_betas      ,      dtype=scheduler.dtype	)
				elif config.beta_schedule == "linear":
					SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       jnp.linspace(config.beta_start      ,      config.beta_end      ,      config.num_train_timesteps      ,      dtype=scheduler.dtype	)
				elif config.beta_schedule == "scaled_linear":
					# this schedule is very specific to the latent diffusion model.
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       (
					    jnp.linspace(
					        config.beta_start**0.5      ,      config.beta_end**0.5      ,      config.num_train_timesteps      ,      dtype=scheduler.dtype	)
					    ** 2
					)
				elif config.beta_schedule == "squaredcos_cap_v2":
					# Glide cosine schedule
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       betas_for_alpha_bar(config.num_train_timesteps      ,      dtype=scheduler.dtype	)
				else:
					raise NotImplementedError(
					    F"beta_schedule {config.beta_schedule} is not implemented for scheduler {scheduler.__class__.__name__}"	)

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       1.0 - betas

				SCREAMING_SNAKE_CASE   :      Tuple				     =       jnp.cumprod(a      ,      axis=0	)

				return cls(
				    alphas=a      ,      betas=a      ,      alphas_cumprod=a      ,      )

def  lowerCamelCase__ (					_a							,			_a							,			_a							,			_a):
	SCREAMING_SNAKE_CASE   :      Any				     =       state.alphas_cumprod

	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       alphas_cumprod[timesteps] ** 0.5
	SCREAMING_SNAKE_CASE   :      Tuple				     =       sqrt_alpha_prod.flatten()
	SCREAMING_SNAKE_CASE   :      Dict				     =       broadcast_to_shape_from_left(_a							,			original_samples.shape)

	SCREAMING_SNAKE_CASE   :      Tuple				     =       (1 - alphas_cumprod[timesteps]) ** 0.5
	SCREAMING_SNAKE_CASE   :      Tuple				     =       sqrt_one_minus_alpha_prod.flatten()
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       broadcast_to_shape_from_left(_a							,			original_samples.shape)

	return sqrt_alpha_prod, sqrt_one_minus_alpha_prod

def  lowerCamelCase__ (					_a							,			_a							,			_a							,			_a):
	SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      int				     =       get_sqrt_alpha_prod(_a							,			_a							,			_a							,			_a)
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise
	return noisy_samples


def  lowerCamelCase__ (					_a							,			_a							,			_a							,			_a):
	SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       get_sqrt_alpha_prod(_a							,			_a							,			_a							,			_a)
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       sqrt_alpha_prod * noise - sqrt_one_minus_alpha_prod * sample
	return velocity


from collections.abc import Iterable
from typing import Any






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Tuple      ,      a							: int | None = None	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Any				     =       value
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None  # Added in order to delete a node easier
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None
				SCREAMING_SNAKE_CASE   :      Node | None				     =       None






			def __repr__(			self							: Optional[Any]	)							->       str:

				"""simple docstring"""

				from pprint import pformat

				if self.left is None and self.right is None:
					return str(self.value	)
				return pformat({F"{self.value}": (self.left, self.right)}      ,      indent=1	)






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[int]      ,      a							: Node | None = None	)							->       Union[str, Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[str]				     =       root
			def __str__(			self							: Any	)							->       str:

				"""simple docstring"""

				return str(self.root	)
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: Node      ,      a							: Node | None	)							->       None:

				"""simple docstring"""

				if new_children is not None:  # reset its kids
					SCREAMING_SNAKE_CASE   :      Dict				     =       node.parent
				if node.parent is not None:  # reset its parent
					if self.is_right(a	):  # If it is the right children
						SCREAMING_SNAKE_CASE   :      Dict				     =       new_children
					else:
						SCREAMING_SNAKE_CASE   :      Any				     =       new_children
				else:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       new_children
			def 							__UpperCamelCase (			self							: Optional[Any]      ,      a							: Node	)							->       bool:

				"""simple docstring"""

				if node.parent and node.parent.right:
					return node == node.parent.right
				return False
			def 							__UpperCamelCase (			self							: Union[str, Any]	)							->       bool:

				"""simple docstring"""

				return self.root is None
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       Node(a	)  # create a new Node
				if self.empty():  # if Tree is empty
					SCREAMING_SNAKE_CASE   :      Tuple				     =       new_node  # set its root
				else:  # Tree is not empty
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       self.root  # from root
					if parent_node is None:
						return
					while True:  # While we don't get to a leaf
						if value < parent_node.value:  # We go left
							if parent_node.left is None:
								SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       new_node  # We insert the new node in a leaf
								break
							else:
								SCREAMING_SNAKE_CASE   :      Any				     =       parent_node.left
						else:
							if parent_node.right is None:
								SCREAMING_SNAKE_CASE   :      str				     =       new_node
								break
							else:
								SCREAMING_SNAKE_CASE   :      Optional[int]				     =       parent_node.right
					SCREAMING_SNAKE_CASE   :      int				     =       parent_node
			def 							__UpperCamelCase (			self							: Any      ,      *a							: str	)							->       None:

				"""simple docstring"""

				for value in values:
					self.__insert(a	)
			def 							__UpperCamelCase (			self							: Tuple      ,      a							: List[Any]	)							->       Node | None:

				"""simple docstring"""

				if self.empty():
					raise IndexError("Warning: Tree is empty! please use another."	)
				else:
					SCREAMING_SNAKE_CASE   :      str				     =       self.root
					# use lazy evaluation here to avoid NoneType Attribute error
					while node is not None and node.value is not value:
						SCREAMING_SNAKE_CASE   :      Optional[int]				     =       node.left if value < node.value else node.right
					return node
			def 							__UpperCamelCase (			self							: int      ,      a							: Node | None = None	)							->       Node | None:

				"""simple docstring"""

				if node is None:
					if self.root is None:
						return None
					SCREAMING_SNAKE_CASE   :      Tuple				     =       self.root

				if not self.empty():
					while node.right is not None:
						SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       node.right
				return node
			def 							__UpperCamelCase (			self							: int      ,      a							: Node | None = None	)							->       Node | None:

				"""simple docstring"""

				if node is None:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       self.root
				if self.root is None:
					return None
				if not self.empty():
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self.root
					while node.left is not None:
						SCREAMING_SNAKE_CASE   :      str				     =       node.left
				return node
			def 							__UpperCamelCase (			self							: Dict      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       self.search(a	)  # Look for the node with that label
				if node is not None:
					if node.left is None and node.right is None:  # If it has no children
						self.__reassign_nodes(a      ,      a	)
					elif node.left is None:  # Has only right children
						self.__reassign_nodes(a      ,      node.right	)
					elif node.right is None:  # Has only left children
						self.__reassign_nodes(a      ,      node.left	)
					else:
						SCREAMING_SNAKE_CASE   :      Tuple				     =       self.get_max(
						    node.left	)  # Gets the max value of the left branch
						self.remove(tmp_node.value	)  # type: ignore
						SCREAMING_SNAKE_CASE   :      str				     =       (
						    tmp_node.value  # type: ignore
						)  # Assigns the value to the node to delete and keep tree structure
			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: Node | None	)							->       Iterable:

				"""simple docstring"""

				if node is not None:
					yield node  # Preorder Traversal
					yield from self.preorder_traverse(node.left	)
					yield from self.preorder_traverse(node.right	)
			def 							__UpperCamelCase (			self							: str      ,      a							: Union[str, Any]=None	)							->       Any:

				"""simple docstring"""

				if traversal_function is None:
					return self.preorder_traverse(self.root	)
				else:
					return traversal_function(self.root	)
			def 							__UpperCamelCase (			self							: Optional[Any]      ,      a							: list      ,      a							: Node | None	)							->       None:

				"""simple docstring"""

				if node:
					self.inorder(a      ,      node.left	)
					arr.append(node.value	)
					self.inorder(a      ,      node.right	)






			def 							__UpperCamelCase (			self							: int      ,      a							: int      ,      a							: Node	)							->       int:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      list[int]				     =       []
				self.inorder(a      ,      a	)  # append all values to list using inorder traversal
				return arr[k - 1]

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE   :      int				     =       []
	if curr_node is not None:
		SCREAMING_SNAKE_CASE   :      List[str]				     =       postorder(curr_node.left) + postorder(curr_node.right) + [curr_node]
	return node_list

def  lowerCamelCase__ (					):
	SCREAMING_SNAKE_CASE   :      int				     =       (8, 3, 6, 1, 10, 14, 13, 4, 7)
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       BinarySearchTree()
	for i in testlist:
		t.insert(_a)

	# Prints all the elements of the list in order traversal
	print(_a)

	if t.search(6) is not None:
		print("The value 6 exists")
	else:
		print("The value 6 doesn't exist")

	if t.search(-1) is not None:
		print("The value -1 exists")
	else:
		print("The value -1 doesn't exist")

	if not t.empty():
		print("Max Value: "							,			t.get_max().value)  # type: ignore
		print("Min Value: "							,			t.get_min().value)  # type: ignore

	for i in testlist:
		t.remove(_a)
		print(_a)


if __name__ == "__main__":
			import doctest

			doctest.testmod(verbose=True)