

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"""




		a__					       =  42
		a__					       =  None
		a__					       =  None






def 					lowerCamelCase_     (							)						->				Any:
	_UpperCamelCase   :		int			=						Node(1	)
	_UpperCamelCase   :		List[Any]			=						Node(2	)
	_UpperCamelCase   :		Dict			=						Node(3	)
	_UpperCamelCase   :		List[str]			=						Node(4	)
	_UpperCamelCase   :		Dict			=						Node(5	)
	return tree






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Tuple	)						->				Dict:
	return [root.data, *preorder(root.left	), *preorder(root.right	)] if root else []






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Optional[Any]	)						->				Optional[Any]:
	return postorder(root.left	) + postorder(root.right	) + [root.data] if root else []






def 					lowerCamelCase_     (							UpperCAmelCase_							:     List[Any]	)						->				Dict:
	return [*inorder(root.left	), root.data, *inorder(root.right	)] if root else []






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Any	)						->				Optional[int]:
	return (max(height(root.left	)							,       height(root.right	)	) + 1) if root else 0






def 					lowerCamelCase_     (							UpperCAmelCase_							:     List[str]	)						->				int:
	_UpperCamelCase   :		Dict			=						[]

	if root is None:
		return output

	_UpperCamelCase   :		Optional[int]			=						deque([root]	)

	while process_queue:
		_UpperCamelCase   :		Optional[Any]			=						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 					lowerCamelCase_     (							UpperCAmelCase_							:     str							,       UpperCAmelCase_							:     Union[str, Any]	)						->				List[Any]:
	_UpperCamelCase   :		Union[str, Any]			=						[]

	def populate_output(UpperCAmelCase_							:     Dict							,       UpperCAmelCase_							:     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(UpperCamelCase__							,       UpperCamelCase__	)
	return output






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Optional[Any]							,       UpperCAmelCase_							:     int	)						->				List[str]:
	_UpperCamelCase   :		int			=						[]

	def populate_output(UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     List[str]	) -> 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 					lowerCamelCase_     (							UpperCAmelCase_							:     List[str]	)						->				Optional[Any]:






	if root is None:
		return []

	_UpperCamelCase   :		List[Any]			=						[]

	_UpperCamelCase   :		List[str]			=						0
	_UpperCamelCase   :		Optional[int]			=						height(UpperCamelCase__	)

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

	return output






def 					lowerCamelCase_     (							)						->				Any:  # Main function for testing.
	_UpperCamelCase   :		Optional[Any]			=						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()







from typing import TYPE_CHECKING

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


lowerCAmelCase__								=		{
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__								=		["""BlipImageProcessor"""]


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__								=		[
							    """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """BlipModel""",
							    """BlipPreTrainedModel""",
							    """BlipForConditionalGeneration""",
							    """BlipForQuestionAnswering""",
							    """BlipVisionModel""",
							    """BlipTextModel""",
							    """BlipForImageTextRetrieval""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__								=		[
							    """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """TFBlipModel""",
							    """TFBlipPreTrainedModel""",
							    """TFBlipForConditionalGeneration""",
							    """TFBlipForQuestionAnswering""",
							    """TFBlipVisionModel""",
							    """TFBlipTextModel""",
							    """TFBlipForImageTextRetrieval""",
							]

if TYPE_CHECKING:
							from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
							from .processing_blip import BlipProcessor

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_blip import BlipImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_blip import (
														    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BlipForConditionalGeneration,
														    BlipForImageTextRetrieval,
														    BlipForQuestionAnswering,
														    BlipModel,
														    BlipPreTrainedModel,
														    BlipTextModel,
														    BlipVisionModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_blip import (
														    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFBlipForConditionalGeneration,
														    TFBlipForImageTextRetrieval,
														    TFBlipForQuestionAnswering,
														    TFBlipModel,
														    TFBlipPreTrainedModel,
														    TFBlipTextModel,
														    TFBlipVisionModel,
														)

else:
							import sys

							lowerCAmelCase__								=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




