



'''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     :
					"""simple docstring"""






					A__				:		int
					A__				:		Node | None			       =    None
					A__				:		Node | None			       =    None







def A						(       )						->      Node | None:
			A__       =    Node(1					)
			A__       =    Node(2					)
			A__       =    Node(3					)
			A__       =    Node(4					)
			A__       =    Node(5					)
			return tree


def A						(       __UpperCamelCase					)						->      list[int]:
			return [root.data, *preorder(root.left					), *preorder(root.right					)] if root else []


def A						(       __UpperCamelCase					)						->      list[int]:
			return postorder(root.left					) + postorder(root.right					) + [root.data] if root else []


def A						(       __UpperCamelCase					)						->      list[int]:
			return [*inorder(root.left					), root.data, *inorder(root.right					)] if root else []


def A						(       __UpperCamelCase					)						->      int:
			return (max(height(root.left					) ,	height(root.right					)					) + 1) if root else 0


def A						(       __UpperCamelCase					)						->      Sequence[Node | None]:
			A__       =    []

			if root is None:
						return output

			A__       =    deque([root]					)

			while process_queue:
						A__       =    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						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Sequence[Node | None]:
			A__       =    []

			def populate_output(__UpperCamelCase ,	__UpperCamelCase					) -> 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(__UpperCamelCase ,	__UpperCamelCase					)
			return output


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Sequence[Node | None]:
			A__       =    []

			def populate_output(__UpperCamelCase ,	__UpperCamelCase					) -> 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(__UpperCamelCase ,	__UpperCamelCase					)
			return output


def A						(       __UpperCamelCase					)						->      Sequence[Node | None] | list[Any]:
			if root is None:
						return []

			A__       =    []

			A__       =    0
			A__       =    height(__UpperCamelCase					)

			for h in range(1 ,	height_tree + 1					):
						if not flag:
									output.append(get_nodes_from_left_to_right(__UpperCamelCase ,	__UpperCamelCase					)					)
									A__       =    1
						else:
									output.append(get_nodes_from_right_to_left(__UpperCamelCase ,	__UpperCamelCase					)					)
									A__       =    0

			return output


def A						(       )						->      None:  # Main function for testing.
			A__       =    make_tree()
			print(f'''In-order Traversal: {inorder(__UpperCamelCase					)}'''					)
			print(f'''Pre-order Traversal: {preorder(__UpperCamelCase					)}'''					)
			print(f'''Post-order Traversal: {postorder(__UpperCamelCase					)}''' ,	'\n'					)

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

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

			print('Level-wise order Traversal: '					)

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

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


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()









import pytest

import datasets


# Import fixture modules as plugins
SCREAMING_SNAKE_CASE__       =      ['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Optional[int]:
			# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
			for item in items:
						if any(marker in item.keywords for marker in ['integration', 'unit']					):
									continue
						item.add_marker(pytest.mark.unit					)


def A						(       __UpperCamelCase					)						->      str:
			config.addinivalue_line('markers' ,	'torchaudio_latest: mark test to run with torchaudio>=0.12'					)


@pytest.fixture(autouse=__UpperCamelCase					)
def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Union[str, Any]:
			# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
			A__       =    tmp_path_factory.getbasetemp() / 'cache'
			A__       =    test_hf_cache_home / 'datasets'
			A__       =    test_hf_cache_home / 'metrics'
			A__       =    test_hf_cache_home / 'modules'
			monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE' ,	str(__UpperCamelCase					)					)
			monkeypatch.setattr('datasets.config.HF_METRICS_CACHE' ,	str(__UpperCamelCase					)					)
			monkeypatch.setattr('datasets.config.HF_MODULES_CACHE' ,	str(__UpperCamelCase					)					)
			A__       =    test_hf_datasets_cache / 'downloads'
			monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH' ,	str(__UpperCamelCase					)					)
			A__       =    test_hf_datasets_cache / 'downloads' / 'extracted'
			monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH' ,	str(__UpperCamelCase					)					)


@pytest.fixture(autouse=__UpperCamelCase ,	scope='session'					)
def A						(       )						->      Union[str, Any]:
			datasets.disable_progress_bar()


@pytest.fixture(autouse=__UpperCamelCase					)
def A						(       __UpperCamelCase					)						->      int:
			# don't take tests into account when counting downloads
			monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS' ,	__UpperCamelCase					)






@pytest.fixture
def A						(       __UpperCamelCase					)						->      Any:
			# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
			# To be removed once SQLAlchemy 2.0 supported
			monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING' ,	__UpperCamelCase					)




