
from __future__ import annotations
class 			lowercase__:



	"""simple docstring"""




	def __init__(	self  :      Any	,							SCREAMING_SNAKE_CASE_  :      int = 0	)	->					None:
						lowercase_					  = value
						lowercase_					  = None
						lowercase_					  = None




def     a						(							snake_case__: str						,       snake_case__: Dict ):


					'''simple docstring'''
					if treea is None:
										return treea
					if treea is None:
										return treea

					lowercase_					  = treea.value + treea.value
					lowercase_					  = merge_two_binary_trees(treea.left						,       treea.left )
					lowercase_					  = merge_two_binary_trees(treea.right						,       treea.right )
					return treea




def     a						(							snake_case__: Optional[int] ):


					'''simple docstring'''
					if root:
										print(root.value )
										print_preorder(root.left )
										print_preorder(root.right )


if __name__ == "__main__":
						__a        = Node(1)
						__a        = Node(2)
						__a        = Node(3)
						__a        = Node(4)

						__a        = Node(2)
						__a        = Node(4)
						__a        = Node(6)
						__a        = Node(9)
						__a        = Node(5)

						print('Tree1 is: ')
						print_preorder(treea)
						print('Tree2 is: ')
						print_preorder(treea)
						__a        = merge_two_binary_trees(treea, treea)
						print('Merged Tree is: ')
						print_preorder(merged_tree)






from typing import TYPE_CHECKING

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


__a        = {
    'configuration_donut_swin': ['DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DonutSwinConfig'],
    'processing_donut': ['DonutProcessor'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a        = [
						    'DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'DonutSwinModel',
						    'DonutSwinPreTrainedModel',
						]

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__a        = ['DonutFeatureExtractor']
						__a        = ['DonutImageProcessor']


if TYPE_CHECKING:
						from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
						from .processing_donut import DonutProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_donut_swin import (
												    DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    DonutSwinModel,
												    DonutSwinPreTrainedModel,
												)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_donut import DonutFeatureExtractor
												from .image_processing_donut import DonutImageProcessor

else:
						import sys

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




