


from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any







@dataclass
class 	__lowercase    :





							"""simple docstring"""







							_UpperCAmelCase      =						42
							_UpperCAmelCase      =						None
							_UpperCAmelCase      =						None







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






def 						a__			(				A__				):
			return [root.data, *preorder(root.left				), *preorder(root.right				)] if root else []






def 						a__			(				A__				):
			return postorder(root.left				) + postorder(root.right				) + [root.data] if root else []






def 						a__			(				A__				):
			return [*inorder(root.left				), root.data, *inorder(root.right				)] if root else []






def 						a__			(				A__				):
			return (max(height(root.left				),      height(root.right				)				) + 1) if root else 0






def 						a__			(				A__				):
			SCREAMING_SNAKE_CASE_		:     Dict					=					[]

			if root is None:
						return output

			SCREAMING_SNAKE_CASE_		:     str					=					deque([root]				)

			while process_queue:
						SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					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__,      A__				):
			SCREAMING_SNAKE_CASE_		:     int					=					[]

			def populate_output(A__,      A__				) -> 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(__lowerCamelCase,      __lowerCamelCase				)
			return output






def 						a__			(				A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     str					=					[]

			def populate_output(A__,      A__				) -> 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(__lowerCamelCase,      __lowerCamelCase				)
			return output






def 						a__			(				A__				):
			if root is None:
						return []

			SCREAMING_SNAKE_CASE_		:     Tuple					=					[]

			SCREAMING_SNAKE_CASE_		:     Any					=					0
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					height(__lowerCamelCase				)

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

			return output






def 						a__			(				):  # Main function for testing.
			SCREAMING_SNAKE_CASE_		:     List[str]					=					make_tree()
			print(F'''In-order Traversal: {inorder(__lowerCamelCase				)}'''				)
			print(F'''Pre-order Traversal: {preorder(__lowerCamelCase				)}'''				)
			print(F'''Post-order Traversal: {postorder(__lowerCamelCase				)}''',      '\n'				)

			print(F'''Height of Tree: {height(__lowerCamelCase				)}''',      '\n'				)

			print('Complete Level Order Traversal: '				)
			print(level_order(__lowerCamelCase				),      '\n'				)

			print('Level-wise order Traversal: '				)

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

			print('\nZigZag order Traversal: '				)
			print(zigzag(__lowerCamelCase				)				)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()







'''simple docstring'''



from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip
