


from __future__ import annotations

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



@dataclass
class 							A   :
					'''simple docstring'''






					A__      =			42
					A__      =			None
					A__      =			None






def 			UpperCamelCase (     )       ->  Node | None:
		"""simple docstring"""




		lowercase__					      =		Node(1					)
		lowercase__					      =		Node(2					)
		lowercase__					      =		Node(3					)
		lowercase__					      =		Node(4					)
		lowercase__					      =		Node(5					)
		return tree






def 			UpperCamelCase (     __magic_name__					:							str					)       ->  list[int]:
		"""simple docstring"""




		return [root.data, *preorder(root.left					), *preorder(root.right					)] if root else []






def 			UpperCamelCase (     __magic_name__					:							Optional[Any]					)       ->  list[int]:
		"""simple docstring"""




		return postorder(root.left					) + postorder(root.right					) + [root.data] if root else []






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  list[int]:
		"""simple docstring"""




		return [*inorder(root.left					), root.data, *inorder(root.right					)] if root else []






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  int:
		"""simple docstring"""




		return (max(height(root.left					)   ,   height(root.right					)					) + 1) if root else 0






def 			UpperCamelCase (     __magic_name__					:							Any					)       ->  Sequence[Node | None]:
		"""simple docstring"""




		lowercase__					      =		[]

		if root is None:
				return output

		lowercase__					      =		deque([root]					)

		while process_queue:
				lowercase__					      =		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 			UpperCamelCase (     __magic_name__					:							Tuple   ,   __magic_name__					:							int					)       ->  Sequence[Node | None]:
		"""simple docstring"""




		lowercase__					      =		[]

		def populate_output(__magic_name__					:							str   ,   __magic_name__					:							Union[str, Any]					) -> 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(__magic_name__   ,   __magic_name__					)
		return output






def 			UpperCamelCase (     __magic_name__					:							Any   ,   __magic_name__					:							Dict					)       ->  Sequence[Node | None]:
		"""simple docstring"""




		lowercase__					      =		[]

		def populate_output(__magic_name__					:							Union[str, Any]   ,   __magic_name__					:							List[Any]					) -> 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(__magic_name__   ,   __magic_name__					)
		return output






def 			UpperCamelCase (     __magic_name__					:							Any					)       ->  Sequence[Node | None] | list[Any]:
		"""simple docstring"""




		if root is None:
				return []

		lowercase__					      =		[]

		lowercase__					      =		0
		lowercase__					      =		height(__magic_name__					)

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

		return output






def 			UpperCamelCase (     )       ->  None:  # Main function for testing.
		"""simple docstring"""




		lowercase__					      =		make_tree()
		print(f'''In-order Traversal: {inorder(__magic_name__					)}'''					)
		print(f'''Pre-order Traversal: {preorder(__magic_name__					)}'''					)
		print(f'''Post-order Traversal: {postorder(__magic_name__					)}'''   ,   """\n"""					)

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

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

		print("""Level-wise order Traversal: """					)

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

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


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()









import pytest


A	:		Optional[Any]    =       '__dummy_dataset1__'

A	:		Tuple    =       '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                "tokens": datasets.Sequence(datasets.Value("string")),\n                "ner_tags": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            "O",\n                            "B-PER",\n                            "I-PER",\n                            "B-ORG",\n                            "I-ORG",\n                            "B-LOC",\n                            "I-LOC",\n                        ]\n                    )\n                ),\n                "langs": datasets.Sequence(datasets.Value("string")),\n                "spans": datasets.Sequence(datasets.Value("string")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, "r", encoding="utf-8") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n'






@pytest.fixture
def 			UpperCamelCase (     )       ->  Any:
		"""simple docstring"""




		return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def 			UpperCamelCase (     )       ->  Union[str, Any]:
		"""simple docstring"""




		return DATASET_LOADING_SCRIPT_CODE







@pytest.fixture
def 			UpperCamelCase (     __magic_name__					:							List[str]   ,   __magic_name__					:							Dict   ,   __magic_name__					:							Any					)       ->  str:
		"""simple docstring"""




		lowercase__					      =		dataset_loading_script_name
		lowercase__					      =		tmp_path / """datasets""" / script_name
		script_dir.mkdir(parents=__magic_name__					)
		lowercase__					      =		script_dir / f'''{script_name}.py'''
		with open(__magic_name__   ,   """w"""					) as f:
				f.write(__magic_name__					)
		return str(__magic_name__					)

