

import re
import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin






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







			lowerCamelCase__           =['image_processor', 'tokenizer']
			lowerCamelCase__           ='AutoImageProcessor'
			lowerCamelCase__           ='AutoTokenizer'
			def __init__(			self							: Optional[int]      ,      a							: Dict=None      ,      a							: Optional[int]=None      ,      **a							: Tuple	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       None
				if "feature_extractor" in kwargs:
					warnings.warn(
					    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
					    " instead."      ,      a      ,      )
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       kwargs.pop("feature_extractor"	)

				SCREAMING_SNAKE_CASE   :      str				     =       image_processor if image_processor is not None else feature_extractor
				if image_processor is None:
					raise ValueError("You need to specify an `image_processor`."	)
				if tokenizer is None:
					raise ValueError("You need to specify a `tokenizer`."	)

				super().__init__(a      ,      a	)
				SCREAMING_SNAKE_CASE   :      int				     =       self.image_processor
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       False
			def __call__(			self							: int      ,      *a							: Dict      ,      **a							: Optional[int]	)							->       int:

				"""simple docstring"""

				if self._in_target_context_manager:
					return self.current_processor(*a      ,      **a	)

				SCREAMING_SNAKE_CASE   :      Dict				     =       kwargs.pop("images"      ,      a	)
				SCREAMING_SNAKE_CASE   :      Dict				     =       kwargs.pop("text"      ,      a	)
				if len(a	) > 0:
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       args[0]
					SCREAMING_SNAKE_CASE   :      Tuple				     =       args[1:]

				if images is None and text is None:
					raise ValueError("You need to specify either an `images` or `text` input to process."	)

				if images is not None:
					SCREAMING_SNAKE_CASE   :      Any				     =       self.image_processor(a      ,      *a      ,      **a	)
				if text is not None:
					SCREAMING_SNAKE_CASE   :      int				     =       self.tokenizer(a      ,      **a	)

				if text is None:
					return inputs
				elif images is None:
					return encodings
				else:
					SCREAMING_SNAKE_CASE   :      Any				     =       encodings["input_ids"]
					return inputs
			def 							__UpperCamelCase (			self							: Tuple      ,      *a							: str      ,      **a							: List[str]	)							->       Dict:

				"""simple docstring"""

				return self.tokenizer.batch_decode(*a      ,      **a	)
			def 							__UpperCamelCase (			self							: Union[str, Any]      ,      *a							: Any      ,      **a							: Optional[int]	)							->       Optional[Any]:

				"""simple docstring"""

				return self.tokenizer.decode(*a      ,      **a	)
			@contextmanager
			def 							__UpperCamelCase (			self							: Dict	)							->       List[str]:

				"""simple docstring"""

				warnings.warn(
				    "`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your "
				    "labels by using the argument `text` of the regular `__call__` method (either in the same call as "
				    "your images inputs, or in a separate call."	)
				SCREAMING_SNAKE_CASE   :      List[str]				     =       True
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       self.tokenizer
				yield
				SCREAMING_SNAKE_CASE   :      int				     =       self.image_processor
				SCREAMING_SNAKE_CASE   :      List[str]				     =       False
			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: List[str]      ,      a							: Optional[int]=False      ,      a							: Optional[Any]=None	)							->       Optional[Any]:

				"""simple docstring"""

				if added_vocab is None:
					SCREAMING_SNAKE_CASE   :      List[str]				     =       self.tokenizer.get_added_vocab()

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       {}

				while tokens:
					SCREAMING_SNAKE_CASE   :      str				     =       re.search(R"<s_(.*?)>"      ,      a      ,      re.IGNORECASE	)
					if start_token is None:
						break
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       start_token.group(1	)
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       re.search(RF"</s_{key}>"      ,      a      ,      re.IGNORECASE	)
					SCREAMING_SNAKE_CASE   :      Dict				     =       start_token.group()
					if end_token is None:
						SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       tokens.replace(a      ,      ""	)
					else:
						SCREAMING_SNAKE_CASE   :      str				     =       end_token.group()
						SCREAMING_SNAKE_CASE   :      Dict				     =       re.escape(a	)
						SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       re.escape(a	)
						SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       re.search(F"{start_token_escaped}(.*?){end_token_escaped}"      ,      a      ,      re.IGNORECASE	)
						if content is not None:
							SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       content.group(1	).strip()
							if r"<s_" in content and r"</s_" in content:  # non-leaf node
								SCREAMING_SNAKE_CASE   :      Any				     =       self.tokenajson(a      ,      is_inner_value=a      ,      added_vocab=a	)
								if value:
									if len(a	) == 1:
										SCREAMING_SNAKE_CASE   :      List[str]				     =       value[0]
									SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       value
							else:  # leaf nodes
								SCREAMING_SNAKE_CASE   :      Dict				     =       []
								for leaf in content.split(R"<sep/>"	):
									SCREAMING_SNAKE_CASE   :      str				     =       leaf.strip()
									if leaf in added_vocab and leaf[0] == "<" and leaf[-2:] == "/>":
										SCREAMING_SNAKE_CASE   :      Optional[int]				     =       leaf[1:-2]  # for categorical special tokens
									output[key].append(a	)
								if len(output[key]	) == 1:
									SCREAMING_SNAKE_CASE   :      Any				     =       output[key][0]

						SCREAMING_SNAKE_CASE   :      List[Any]				     =       tokens[tokens.find(a	) + len(a	) :].strip()
						if tokens[:6] == r"<sep/>":  # non-leaf nodes
							return [output] + self.tokenajson(tokens[6:]      ,      is_inner_value=a      ,      added_vocab=a	)

				if len(a	):
					return [output] if is_inner_value else output
				else:
					return [] if is_inner_value else {"text_sequence": tokens}
			@property
			def 							__UpperCamelCase (			self							: Any	)							->       Optional[int]:

				"""simple docstring"""

				warnings.warn(
				    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."      ,      a      ,      )
				return self.image_processor_class






			@property
			def 							__UpperCamelCase (			self							: List[str]	)							->       Any:

				"""simple docstring"""

				warnings.warn(
				    "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."      ,      a      ,      )
				return self.image_processor


from __future__ import annotations

import math
import random
from typing import Any






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Union[str, Any]	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      list[Any]				     =       []
				SCREAMING_SNAKE_CASE   :      int				     =       0
				SCREAMING_SNAKE_CASE   :      int				     =       0
			def 							__UpperCamelCase (			self							: List[Any]	)							->       bool:

				"""simple docstring"""

				return self.head == self.tail
			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: Any	)							->       None:

				"""simple docstring"""

				self.data.append(a	)
				SCREAMING_SNAKE_CASE   :      List[str]				     =       self.tail + 1
			def 							__UpperCamelCase (			self							: Tuple	)							->       Any:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       self.data[self.head]
				SCREAMING_SNAKE_CASE   :      List[str]				     =       self.head + 1
				return ret
			def 							__UpperCamelCase (			self							: List[str]	)							->       int:

				"""simple docstring"""

				return self.tail - self.head






			def 							__UpperCamelCase (			self							: Optional[Any]	)							->       None:

				"""simple docstring"""

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






class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: List[str]      ,      a							: Any	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       data
				SCREAMING_SNAKE_CASE   :      MyNode | None				     =       None
				SCREAMING_SNAKE_CASE   :      MyNode | None				     =       None
				SCREAMING_SNAKE_CASE   :      int				     =       1
			def 							__UpperCamelCase (			self							: Tuple	)							->       Any:

				"""simple docstring"""

				return self.data
			def 							__UpperCamelCase (			self							: Optional[int]	)							->       MyNode | None:

				"""simple docstring"""

				return self.left
			def 							__UpperCamelCase (			self							: Union[str, Any]	)							->       MyNode | None:

				"""simple docstring"""

				return self.right
			def 							__UpperCamelCase (			self							: Union[str, Any]	)							->       int:

				"""simple docstring"""

				return self.height
			def 							__UpperCamelCase (			self							: Union[str, Any]      ,      a							: Any	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       data
			def 							__UpperCamelCase (			self							: Any      ,      a							: MyNode | None	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       node
			def 							__UpperCamelCase (			self							: List[str]      ,      a							: MyNode | None	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Any				     =       node






			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       height

def  lowerCamelCase__ (					_a):
	if node is None:
		return 0
	return node.get_height()

def  lowerCamelCase__ (					_a							,			_a):
	if a > b:
		return a
	return b

def  lowerCamelCase__ (					_a):
	print("left rotation node:"							,			node.get_data())
	SCREAMING_SNAKE_CASE   :      List[str]				     =       node.get_left()
	assert ret is not None
	node.set_left(ret.get_right())
	ret.set_right(_a)
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       my_max(get_height(node.get_right())							,			get_height(node.get_left())) + 1
	node.set_height(_a)
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       my_max(get_height(ret.get_right())							,			get_height(ret.get_left())) + 1
	ret.set_height(_a)
	return ret

def  lowerCamelCase__ (					_a):
	print("right rotation node:"							,			node.get_data())
	SCREAMING_SNAKE_CASE   :      Dict				     =       node.get_right()
	assert ret is not None
	node.set_right(ret.get_left())
	ret.set_left(_a)
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       my_max(get_height(node.get_right())							,			get_height(node.get_left())) + 1
	node.set_height(_a)
	SCREAMING_SNAKE_CASE   :      Tuple				     =       my_max(get_height(ret.get_right())							,			get_height(ret.get_left())) + 1
	ret.set_height(_a)
	return ret

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       node.get_left()
	assert left_child is not None
	node.set_left(left_rotation(_a))
	return right_rotation(_a)

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE   :      int				     =       node.get_right()
	assert right_child is not None
	node.set_right(right_rotation(_a))
	return left_rotation(_a)

def  lowerCamelCase__ (					_a							,			_a):
	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
			SCREAMING_SNAKE_CASE   :      List[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
				SCREAMING_SNAKE_CASE   :      Tuple				     =       right_rotation(_a)
			else:
				SCREAMING_SNAKE_CASE   :      int				     =       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:
			SCREAMING_SNAKE_CASE   :      Any				     =       node.get_right()
			assert right_child is not None
			if data < right_child.get_data():
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       rl_rotation(_a)
			else:
				SCREAMING_SNAKE_CASE   :      int				     =       left_rotation(_a)
	SCREAMING_SNAKE_CASE   :      str				     =       my_max(get_height(node.get_right())							,			get_height(node.get_left())) + 1
	node.set_height(_a)
	return node

def  lowerCamelCase__ (					_a):
	while True:
		SCREAMING_SNAKE_CASE   :      List[Any]				     =       root.get_right()
		if right_child is None:
			break
		SCREAMING_SNAKE_CASE   :      str				     =       right_child
	return root.get_data()

def  lowerCamelCase__ (					_a):
	while True:
		SCREAMING_SNAKE_CASE   :      Optional[int]				     =       root.get_left()
		if left_child is None:
			break
		SCREAMING_SNAKE_CASE   :      List[str]				     =       left_child
	return root.get_data()

def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      Any				     =       root.get_left()
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       root.get_right()
	if root.get_data() == data:
		if left_child is not None and right_child is not None:
			SCREAMING_SNAKE_CASE   :      Any				     =       get_left_most(_a)
			root.set_data(_a)
			root.set_right(del_node(_a							,			_a))
		elif left_child is not None:
			SCREAMING_SNAKE_CASE   :      Dict				     =       left_child
		elif right_child is not None:
			SCREAMING_SNAKE_CASE   :      str				     =       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()):
			SCREAMING_SNAKE_CASE   :      List[str]				     =       left_rotation(_a)
		else:
			SCREAMING_SNAKE_CASE   :      int				     =       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()):
			SCREAMING_SNAKE_CASE   :      str				     =       right_rotation(_a)
		else:
			SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       lr_rotation(_a)
	SCREAMING_SNAKE_CASE   :      List[str]				     =       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							: str	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      MyNode | None				     =       None
			def 							__UpperCamelCase (			self							: Any	)							->       int:

				"""simple docstring"""

				return get_height(self.root	)
			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: Any	)							->       None:

				"""simple docstring"""

				print("insert:" + str(a	)	)
				SCREAMING_SNAKE_CASE   :      Any				     =       insert_node(self.root      ,      a	)
			def 							__UpperCamelCase (			self							: List[Any]      ,      a							: Any	)							->       None:

				"""simple docstring"""

				print("delete:" + str(a	)	)
				if self.root is None:
					print("Tree is empty!"	)
					return
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       del_node(self.root      ,      a	)






			def __str__(			self							: Optional[int]      ,      )							->       str:  # a level traversale, gives a more intuitive look on the tree

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       ""
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       MyQueue()
				q.push(self.root	)
				SCREAMING_SNAKE_CASE   :      Any				     =       self.get_height()
				if layer == 0:
					return output
				SCREAMING_SNAKE_CASE   :      Dict				     =       0
				while not q.is_empty():
					SCREAMING_SNAKE_CASE   :      Dict				     =       q.pop()
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       " " * 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
					SCREAMING_SNAKE_CASE   :      List[str]				     =       cnt + 1
					for i in range(100	):
						if cnt == math.pow(2      ,      a	) - 1:
							SCREAMING_SNAKE_CASE   :      List[str]				     =       layer - 1
							if layer == 0:
								output += "\n*************************************"
								return output
							output += "\n"
							break
				output += "\n*************************************"
				return output

def  lowerCamelCase__ (					):
	import doctest

	doctest.testmod()


if __name__ == "__main__":
			_test()
			a_						     =    AVLtree()
			a_						     =    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))