





'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCamelCase : Union[str, Any]											=			logging.get_logger(__name__)

__lowerCamelCase : Any											=			{
    "microsoft/swin-tiny-patch4-window7-224": (
        "https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}

class       UpperCAmelCase (						_lowercase			,       _lowercase  ):
		UpperCAmelCase					:	Any 			=		'''swin'''

		UpperCAmelCase					:	Dict 			=		{
		    '''num_attention_heads''': '''num_heads''',
		    '''num_hidden_layers''': '''num_layers''',
		}




		def __init__(self      :	str							,			A__      :	Dict=2_2_4							,			A__      :	Union[str, Any]=4							,			A__      :	Dict=3							,			A__      :	int=9_6							,			A__      :	Optional[Any]=[2, 2, 6, 2]							,			A__      :	Union[str, Any]=[3, 6, 1_2, 2_4]							,			A__      :	List[str]=7							,			A__      :	Union[str, Any]=4.0							,			A__      :	Any=True							,			A__      :	Dict=0.0							,			A__      :	Any=0.0							,			A__      :	Optional[int]=0.1							,			A__      :	Any="gelu"							,			A__      :	int=False							,			A__      :	str=0.0_2							,			A__      :	List[str]=1e-5							,			A__      :	Optional[int]=3_2							,			A__      :	Tuple=None							,			A__      :	Optional[Any]=None							,			**A__      :	List[str]							,			)					-> Optional[int]:
						super().__init__(**A__				)

						lowercase         = image_size
						lowercase         = patch_size
						lowercase         = num_channels
						lowercase         = embed_dim
						lowercase         = depths
						lowercase         = len(A__				)
						lowercase         = num_heads
						lowercase         = window_size
						lowercase         = mlp_ratio
						lowercase         = qkv_bias
						lowercase         = hidden_dropout_prob
						lowercase         = attention_probs_dropout_prob
						lowercase         = drop_path_rate
						lowercase         = hidden_act
						lowercase         = use_absolute_embeddings
						lowercase         = layer_norm_eps
						lowercase         = initializer_range
						lowercase         = encoder_stride
						# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
						# this indicates the channel dimension after the last stage of the model
						lowercase         = int(embed_dim * 2 ** (len(A__				) - 1)				)
						lowercase         = ["stem"] + [f'stage{idx}' for idx in range(1							,			len(A__				) + 1				)]
						lowercase   ,							lowercase         = get_aligned_output_features_output_indices(
						    out_features=A__							,			out_indices=A__							,			stage_names=self.stage_names				)




class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	List[Any] 			=		version.parse('''1.11'''  )




		@property
		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Mapping[str, Mapping[int, str]]:
						return OrderedDict(
						    [
						        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
						    ]				)





		@property
		def 				UpperCAmelCase__   (self      :	int				)					-> float:
						return 1e-4











'''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 :
		UpperCAmelCase					:	int
		UpperCAmelCase					:	Node | None 			=		None
		UpperCAmelCase					:	Node | None 			=		None







def 							UpperCAmelCase_    (	):

				"""simple docstring"""






				lowercase         = Node(1							)
				lowercase         = Node(2							)
				lowercase         = Node(3							)
				lowercase         = Node(4							)
				lowercase         = Node(5							)
				return tree







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return [root.data, *preorder(root.left							), *preorder(root.right							)] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return postorder(root.left							) + postorder(root.right							) + [root.data] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return [*inorder(root.left							), root.data, *inorder(root.right							)] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return (max(height(root.left							)		,							height(root.right							)							) + 1) if root else 0







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				if root is None:
								return output

				lowercase         = deque([root]							)

				while process_queue:
								lowercase         = 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 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				def populate_output(lowerCAmelCase_		,							lowerCAmelCase_							) -> 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 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				def populate_output(lowerCAmelCase_		,							lowerCAmelCase_							) -> 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 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				if root is None:
								return []

				lowercase         = []

				lowercase         = 0
				lowercase         = height(lowerCAmelCase_							)

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

				return output







def 							UpperCAmelCase_    (	):  # Main function for testing.

				"""simple docstring"""






				lowercase         = 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()




