



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'''




						UpperCamelCase__      :			int
						UpperCamelCase__      :			Node | None      =  None
						UpperCamelCase__      :			Node | None      =  None







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






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






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






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






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






def      __lowercase       (			a__       )    ->			Sequence[Node | None]:
							__SCREAMING_SNAKE_CASE									= []

							if root is None:
														return output

							__SCREAMING_SNAKE_CASE									= deque([root]       )

							while process_queue:
														__SCREAMING_SNAKE_CASE									= 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      __lowercase       (			a__							,       a__       )    ->			Sequence[Node | None]:
							__SCREAMING_SNAKE_CASE									= []

							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(snake_case__							,       snake_case__       )
							return output






def      __lowercase       (			a__							,       a__       )    ->			Sequence[Node | None]:
							__SCREAMING_SNAKE_CASE									= []

							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(snake_case__							,       snake_case__       )
							return output






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

							__SCREAMING_SNAKE_CASE									= []

							__SCREAMING_SNAKE_CASE									= 0
							__SCREAMING_SNAKE_CASE									= height(snake_case__       )

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

							return output






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

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

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

							print('Level-wise order Traversal: '       )

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

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


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()











from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase__		:					str							={'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__		:					Optional[int]							=[
			    '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''ViTMAEForPreTraining''',
			    '''ViTMAELayer''',
			    '''ViTMAEModel''',
			    '''ViTMAEPreTrainedModel''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__		:					List[str]							=[
			    '''TFViTMAEForPreTraining''',
			    '''TFViTMAEModel''',
			    '''TFViTMAEPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_mae import (
						    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMAEForPreTraining,
						    ViTMAELayer,
						    ViTMAEModel,
						    ViTMAEPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
			import sys

			lowerCAmelCase__		:					Optional[int]							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






