


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_		:     Dict					=					Node(1				)
			SCREAMING_SNAKE_CASE_		:     Tuple					=					Node(2				)
			SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					Node(3				)
			SCREAMING_SNAKE_CASE_		:     int					=					Node(4				)
			SCREAMING_SNAKE_CASE_		:     Dict					=					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_		:     list[Any]					=					[]

			if root is None:
						return output

			SCREAMING_SNAKE_CASE_		:     List[str]					=					deque([root]				)

			while process_queue:
						SCREAMING_SNAKE_CASE_		:     int					=					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_		:     list[Any]					=					[]

			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(A__,      A__				)
			return output






def 						a__			(				A__,      A__				):
			SCREAMING_SNAKE_CASE_		:     list[Any]					=					[]

			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(A__,      A__				)
			return output






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

			SCREAMING_SNAKE_CASE_		:     list[Sequence[Node | None]]					=					[]

			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					0
			SCREAMING_SNAKE_CASE_		:     Optional[int]					=					height(A__				)

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

			return output






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

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

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

			print('Level-wise order Traversal: '				)

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

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


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()







"""simple docstring"""






from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE							=     {
    'configuration_mctct': ['MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MCTCTConfig'],
    'feature_extraction_mctct': ['MCTCTFeatureExtractor'],
    'processing_mctct': ['MCTCTProcessor'],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __SCREAMING_SNAKE_CASE							=     [
     'MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MCTCTForCTC',
     'MCTCTModel',
     'MCTCTPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
 from .feature_extraction_mctct import MCTCTFeatureExtractor
 from .processing_mctct import MCTCTProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
 import sys

 __SCREAMING_SNAKE_CASE							=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
