





'''simple docstring'''






from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class 		lowerCamelCase  :
	snake_case_      =   42
	snake_case_      =   None
	snake_case_      =   None






def      __A						(							):
		lowerCAmelCase     :    str						=   Node(1	)
		lowerCAmelCase     :    List[Any]						=   Node(2	)
		lowerCAmelCase     :    int						=   Node(3	)
		lowerCAmelCase     :    Tuple						=   Node(4	)
		lowerCAmelCase     :    str						=   Node(5	)
		return tree






def      __A						(							a_						:  Node | None	):
		return [root.data, *preorder(root.left	), *preorder(root.right	)] if root else []






def      __A						(							a_						:  Node | None	):
		return postorder(root.left	) + postorder(root.right	) + [root.data] if root else []






def      __A						(							a_						:  Node | None	):
		return [*inorder(root.left	), root.data, *inorder(root.right	)] if root else []






def      __A						(							a_						:  Node | None	):
		return (max(height(root.left	)      ,height(root.right	)	) + 1) if root else 0






def      __A						(							a_						:  Node | None	):
		lowerCAmelCase     :    list[Any]						=   []

		if root is None:
				return output

		lowerCAmelCase     :    Optional[int]						=   deque([root]	)

		while process_queue:
				lowerCAmelCase     :    Dict						=   process_queue.popleft()
				output.append(node.data	)

				if node.left:
						process_queue.append(node.left	)
				if node.right:
						process_queue.append(node.right	)
		return output






def      __A						(							a_						:  Node | None      ,a_						:  int	):
		lowerCAmelCase     :    list[Any]						=   []

		def populate_output(a_						:  Node | None      ,a_						:  int	) -> None:
				if not root:
						return
				if level == 1:
						output.append(root.data	)
				elif level > 1:
						populate_output(root.left      ,level - 1	)
						populate_output(root.right      ,level - 1	)

		populate_output(a_      ,a_	)
		return output






def      __A						(							a_						:  Node | None      ,a_						:  int	):
		lowerCAmelCase     :    list[Any]						=   []

		def populate_output(a_						:  Node | None      ,a_						:  int	) -> None:
				if root is None:
						return
				if level == 1:
						output.append(root.data	)
				elif level > 1:
						populate_output(root.right      ,level - 1	)
						populate_output(root.left      ,level - 1	)

		populate_output(a_      ,a_	)
		return output






def      __A						(							a_						:  Node | None	):
		if root is None:
				return []

		lowerCAmelCase     :    list[Sequence[Node | None]]						=   []

		lowerCAmelCase     :    List[str]						=   0
		lowerCAmelCase     :    List[str]						=   height(a_	)

		for h in range(1      ,height_tree + 1	):
				if not flag:
						output.append(get_nodes_from_left_to_right(a_      ,a_	)	)
						lowerCAmelCase     :    Optional[Any]						=   1
				else:
						output.append(get_nodes_from_right_to_left(a_      ,a_	)	)
						lowerCAmelCase     :    str						=   0

		return output






def      __A						(							):  # Main function for testing.
		lowerCAmelCase     :    List[Any]						=   make_tree()
		print(f'''In-order Traversal: {inorder(a_	)}'''	)
		print(f'''Pre-order Traversal: {preorder(a_	)}'''	)
		print(f'''Post-order Traversal: {postorder(a_	)}'''      ,"\n"	)

		print(f'''Height of Tree: {height(a_	)}'''      ,"\n"	)

		print("Complete Level Order Traversal: "	)
		print(level_order(a_	)      ,"\n"	)

		print("Level-wise order Traversal: "	)

		for level in range(1      ,height(a_	) + 1	):
				print(f'''Level {level}:'''      ,get_nodes_from_left_to_right(a_      ,level=a_	)	)

		print("\nZigZag order Traversal: "	)
		print(zigzag(a_	)	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()










'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


lowerCAmelCase       		=      logging.get_logger(__name__)
class 		lowerCamelCase  (      _A       ):



	def __init__(   self		,      *a_		,      **a_	):
			warnings.warn(
			    "The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
			    " Please use ChineseCLIPImageProcessor instead."		,      a_		,      )
			super().__init__(*a_		,      **a_	)



