
'''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   UpperCAmelCase_					:






						'''simple docstring'''






						_lowercase		:				int
						_lowercase		:				Node | None									=       None
						_lowercase		:				Node | None									=       None






def A				():
						_lowerCAmelCase  						=			Node(1		)
						_lowerCAmelCase  						=			Node(2		)
						_lowerCAmelCase  						=			Node(3		)
						_lowerCAmelCase  						=			Node(4		)
						_lowerCAmelCase  						=			Node(5		)
						return tree


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


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


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


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


def A				(__lowerCamelCase				:Node | None		):
						_lowerCAmelCase  						=			[]

						if root is None:
												return output

						_lowerCAmelCase  						=			deque([root]		)

						while process_queue:
												_lowerCAmelCase  						=			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				(__lowerCamelCase				:Node | None			,     __lowerCamelCase				:int		):
						_lowerCAmelCase  						=			[]

						def populate_output(__lowerCamelCase				:Node | None			,     __lowerCamelCase				: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(__lowerCamelCase			,     __lowerCamelCase		)
						return output


def A				(__lowerCamelCase				:Node | None			,     __lowerCamelCase				:int		):
						_lowerCAmelCase  						=			[]

						def populate_output(__lowerCamelCase				:Node | None			,     __lowerCamelCase				: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(__lowerCamelCase			,     __lowerCamelCase		)
						return output


def A				(__lowerCamelCase				:Node | None		):
						if root is None:
												return []

						_lowerCAmelCase  						=			[]

						_lowerCAmelCase  						=			0
						_lowerCAmelCase  						=			height(__lowerCamelCase		)

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

						return output


def A				():  # Main function for testing.
						_lowerCAmelCase  						=			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'''



# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

_lowercase    =		"""2.13.1"""

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse("""3.7"""):
						raise ImportWarning(
						    """To use `datasets`, Python>=3.7 is required, and the current version of Python doesn't match this condition."""
						)

if version.parse(pyarrow.__version__).major < 8:
						raise ImportWarning(
						    """To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn't match this condition.\n"""
						    """If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`."""
						)

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

_lowercase    =		concatenate_datasets
_lowercase    =		DownloadConfig
_lowercase    =		DownloadManager
_lowercase    =		DownloadMode
_lowercase    =		DownloadConfig
_lowercase    =		DownloadMode
_lowercase    =		DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager
