

"""simple docstring"""






class    snake_case__	:







			def __init__(      self      :			List[Any]      ,	lowercase      :			str = ""      ,	lowercase      :			bool = False	):





								'''simple docstring'''



								UpperCAmelCase      : dict[str, RadixNode]   =					{}

								# A node will be a leaf if the tree contains its word
								UpperCAmelCase      : Optional[Any]   =					is_leaf

								UpperCAmelCase      : int   =					prefix







			def       __lowerCAmelCase					(      self      :			Dict      ,	lowercase      :			str	):





								'''simple docstring'''



								UpperCAmelCase      : Any   =					0
								for q, w in zip(self.prefix      ,	UpperCamelCase__	):
													if q != w:
																		break

													x += 1

								return self.prefix[:x], self.prefix[x:], word[x:]







			def       __lowerCAmelCase					(      self      :			int      ,	lowercase      :			list[str]	):





								'''simple docstring'''



								for word in words:
													self.insert(UpperCamelCase__	)







			def       __lowerCAmelCase					(      self      :			str      ,	lowercase      :			str	):





								'''simple docstring'''



								if self.prefix == word:
													UpperCAmelCase      : Union[str, Any]   =					True

								# Case 2: The node has no edges that have a prefix to the word
								# Solution: We create an edge from the current node to a new one
								# containing the word
								elif word[0] not in self.nodes:
													UpperCAmelCase      : Dict   =					RadixNode(prefix=UpperCamelCase__      ,	is_leaf=UpperCamelCase__	)

								else:
													UpperCAmelCase      : Any   =					self.nodes[word[0]]
													UpperCAmelCase      : Any   =					incoming_node.match(
													    UpperCamelCase__	)

													# Case 3: The node prefix is equal to the matching
													# Solution: We insert remaining word on the next node
													if remaining_prefix == "":
																		self.nodes[matching_string[0]].insert(UpperCamelCase__	)

													# Case 4: The word is greater equal to the matching
													# Solution: Create a node in between both nodes, change
													# prefixes and add the new node for the remaining word
													else:
																		UpperCAmelCase      : Any   =					remaining_prefix

																		UpperCAmelCase      : Any   =					self.nodes[matching_string[0]]
																		UpperCAmelCase      : Dict   =					RadixNode(UpperCamelCase__      ,	UpperCamelCase__	)
																		UpperCAmelCase      : int   =					aux_node

																		if remaining_word == "":
																							UpperCAmelCase      : Optional[Any]   =					True
																		else:
																							self.nodes[matching_string[0]].insert(UpperCamelCase__	)







			def       __lowerCAmelCase					(      self      :			Optional[int]      ,	lowercase      :			str	):





								'''simple docstring'''



								UpperCAmelCase      : str   =					self.nodes.get(word[0]      ,	UpperCamelCase__	)
								if not incoming_node:
													return False
								else:
													UpperCAmelCase      : List[str]   =					incoming_node.match(
													    UpperCamelCase__	)
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																		return False
													# This applies when the word and the prefix are equal
													elif remaining_word == "":
																		return incoming_node.is_leaf
													# We have word remaining so we check the next node
													else:
																		return incoming_node.find(UpperCamelCase__	)







			def       __lowerCAmelCase					(      self      :			str      ,	lowercase      :			str	):





								'''simple docstring'''



								UpperCAmelCase      : int   =					self.nodes.get(word[0]      ,	UpperCamelCase__	)
								if not incoming_node:
													return False
								else:
													UpperCAmelCase      : Optional[int]   =					incoming_node.match(
													    UpperCamelCase__	)
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																		return False
													# We have word remaining so we check the next node
													elif remaining_word != "":
																		return incoming_node.delete(UpperCamelCase__	)
													else:
																		# If it is not a leaf, we don't have to delete
																		if not incoming_node.is_leaf:
																							return False
																		else:
																							# We delete the nodes if no edges go from it
																							if len(incoming_node.nodes	) == 0:
																												del self.nodes[word[0]]
																												# We merge the current node with its only child
																												if len(self.nodes	) == 1 and not self.is_leaf:
																																	UpperCAmelCase      : Optional[int]   =					list(self.nodes.values()	)[0]
																																	UpperCAmelCase      : Optional[int]   =					merging_node.is_leaf
																																	self.prefix += merging_node.prefix
																																	UpperCAmelCase      : int   =					merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																							elif len(incoming_node.nodes	) > 1:
																												UpperCAmelCase      : Tuple   =					False
																							# If there is 1 edge, we merge it with its child
																							else:
																												UpperCAmelCase      : Dict   =					list(incoming_node.nodes.values()	)[0]
																												UpperCAmelCase      : str   =					merging_node.is_leaf
																												incoming_node.prefix += merging_node.prefix
																												UpperCAmelCase      : Dict   =					merging_node.nodes

																							return True







			def       __lowerCAmelCase					(      self      :			Optional[int]      ,	lowercase      :			int = 0	):





								'''simple docstring'''



								if self.prefix != "":
													print("-" * height      ,	self.prefix      ,	"  (leaf)" if self.is_leaf else ""	)

								for value in self.nodes.values():
													value.print_tree(height + 1	)



def 	lowercase_						(     ):




					'''simple docstring'''






					UpperCAmelCase      : List[str]   =					'''banana bananas bandana band apple all beast'''.split()
					UpperCAmelCase      : int   =					RadixNode()
					root.insert_many(SCREAMING_SNAKE_CASE__						)

					assert all(root.find(SCREAMING_SNAKE_CASE__						) for word in words						)
					assert not root.find("bandanas"						)
					assert not root.find("apps"						)
					root.delete("all"						)
					assert not root.find("all"						)
					root.delete("banana"						)
					assert not root.find("banana"						)
					assert root.find("bananas"						)

					return True



def 	lowercase_						(     ):




					'''simple docstring'''






					assert test_trie()



def 	lowercase_						(     ):




					'''simple docstring'''






					UpperCAmelCase      : Any   =					RadixNode()
					UpperCAmelCase      : Tuple   =					'''banana bananas bandanas bandana band apple all beast'''.split()
					root.insert_many(SCREAMING_SNAKE_CASE__						)

					print("Words:"				,   SCREAMING_SNAKE_CASE__						)
					print("Tree:"						)
					root.print_tree()


if __name__ == "__main__":
	main()




'''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


lowercase__						       =      logging.get_logger(__name__)

lowercase__						       =      {
    "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 	snake_case__       (      __SCREAMING_SNAKE_CASE    ,					__SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						"""swin"""

		lowerCamelCase     							=						{
		    """num_attention_heads""": """num_heads""",
		    """num_hidden_layers""": """num_layers""",
		}



		def __init__(      self				:			Tuple  ,	UpperCamelCase__				:			int=224  ,	UpperCamelCase__				:			Optional[int]=4  ,	UpperCamelCase__				:			str=3  ,	UpperCamelCase__				:			str=96  ,	UpperCamelCase__				:			List[Any]=[2, 2, 6, 2]  ,	UpperCamelCase__				:			Optional[Any]=[3, 6, 12, 24]  ,	UpperCamelCase__				:			Optional[Any]=7  ,	UpperCamelCase__				:			Tuple=4.0  ,	UpperCamelCase__				:			Tuple=True  ,	UpperCamelCase__				:			str=0.0  ,	UpperCamelCase__				:			Optional[Any]=0.0  ,	UpperCamelCase__				:			List[str]=0.1  ,	UpperCamelCase__				:			Optional[Any]="gelu"  ,	UpperCamelCase__				:			Optional[Any]=False  ,	UpperCamelCase__				:			Tuple=0.02  ,	UpperCamelCase__				:			List[Any]=1e-5  ,	UpperCamelCase__				:			Any=32  ,	UpperCamelCase__				:			List[str]=None  ,	UpperCamelCase__				:			int=None  ,	**UpperCamelCase__				:			Optional[Any]  ,	)						->			Optional[int]:






				"""simple docstring"""







				super().__init__(**UpperCamelCase__      )

				snake_case  :       Any     			=						image_size
				snake_case  :       Optional[int]     			=						patch_size
				snake_case  :       List[Any]     			=						num_channels
				snake_case  :       Union[str, Any]     			=						embed_dim
				snake_case  :       str     			=						depths
				snake_case  :       str     			=						len(UpperCamelCase__      )
				snake_case  :       List[Any]     			=						num_heads
				snake_case  :       List[Any]     			=						window_size
				snake_case  :       Optional[int]     			=						mlp_ratio
				snake_case  :       Union[str, Any]     			=						qkv_bias
				snake_case  :       Optional[int]     			=						hidden_dropout_prob
				snake_case  :       Optional[int]     			=						attention_probs_dropout_prob
				snake_case  :       Optional[int]     			=						drop_path_rate
				snake_case  :       List[Any]     			=						hidden_act
				snake_case  :       int     			=						use_absolute_embeddings
				snake_case  :       str     			=						layer_norm_eps
				snake_case  :       Optional[Any]     			=						initializer_range
				snake_case  :       Any     			=						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
				snake_case  :       str     			=						int(embed_dim * 2 ** (len(UpperCamelCase__      ) - 1)      )
				snake_case  :       int     			=						['''stem'''] + [f'stage{idx}' for idx in range(1  ,	len(UpperCamelCase__      ) + 1      )]
				snake_case			,snake_case  :       List[Any]     			=						get_aligned_output_features_output_indices(
				    out_features=UpperCamelCase__  ,	out_indices=UpperCamelCase__  ,	stage_names=self.stage_names      )







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						version.parse("""1.11"""					)



		@property
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			Mapping[str, Mapping[int, str]]:






				"""simple docstring"""







				return OrderedDict(
				    [
				        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
				    ]      )



		@property
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			float:






				"""simple docstring"""







				return 1e-4


