






class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self       ,			a = ""       ,			a = False					)       ->    None:
								snake_case_				=							{}

								# A node will be a leaf if the tree contains its word
								snake_case_				=							is_leaf

								snake_case_				=							prefix




	def 							_UpperCamelCase			(       self       ,			a					)       ->    tuple[str, str, str]:
								snake_case_				=							0
								for q, w in zip(self.prefix       ,			_snake_case					):
															if q != w:
																						break

															x += 1

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




	def 							_UpperCamelCase			(       self       ,			a					)       ->    None:




								for word in words:
															self.insert(_snake_case					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    None:




								if self.prefix == word:
															snake_case_				=							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:
															snake_case_				=							RadixNode(prefix=_snake_case       ,			is_leaf=_snake_case					)

								else:
															snake_case_				=							self.nodes[word[0]]
															snake_case_			,		snake_case_			,		snake_case_				=							incoming_node.match(
															    _snake_case					)

															# 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(_snake_case					)

															# 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:
																						snake_case_				=							remaining_prefix

																						snake_case_				=							self.nodes[matching_string[0]]
																						snake_case_				=							RadixNode(_snake_case       ,			_snake_case					)
																						snake_case_				=							aux_node

																						if remaining_word == "":
																													snake_case_				=							True
																						else:
																													self.nodes[matching_string[0]].insert(_snake_case					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    bool:
								snake_case_				=							self.nodes.get(word[0]       ,			_snake_case					)
								if not incoming_node:
															return False
								else:
															snake_case_			,		snake_case_			,		snake_case_				=							incoming_node.match(
															    _snake_case					)
															# 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(_snake_case					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    bool:
								snake_case_				=							self.nodes.get(word[0]       ,			_snake_case					)
								if not incoming_node:
															return False
								else:
															snake_case_			,		snake_case_			,		snake_case_				=							incoming_node.match(
															    _snake_case					)
															# 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(_snake_case					)
															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:
																																											snake_case_				=							list(self.nodes.values()					)[0]
																																											snake_case_				=							merging_node.is_leaf
																																											self.prefix += merging_node.prefix
																																											snake_case_				=							merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																													elif len(incoming_node.nodes					) > 1:
																																				snake_case_				=							False
																													# If there is 1 edge, we merge it with its child
																													else:
																																				snake_case_				=							list(incoming_node.nodes.values()					)[0]
																																				snake_case_				=							merging_node.is_leaf
																																				incoming_node.prefix += merging_node.prefix
																																				snake_case_				=							merging_node.nodes

																													return True






	def 							_UpperCamelCase			(       self       ,			a = 0					)       ->    None:




								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 						__UpperCAmelCase			(     ):
							snake_case_				=							'banana bananas bandana band apple all beast'.split()
							snake_case_				=							RadixNode()
							root.insert_many(a__)

							assert all(root.find(a__) 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 						__UpperCAmelCase			(     ):
							assert test_trie()





def 						__UpperCAmelCase			(     ):
							snake_case_				=							RadixNode()
							snake_case_				=							'banana bananas bandanas bandana band apple all beast'.split()
							root.insert_many(a__)

							print('Words:'							,     a__)
							print('Tree:')
							root.print_tree()


if __name__ == "__main__":
	main()







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


A     :	List[str]    = logging.get_logger(__name__)

A     :	Optional[int]    = {
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class 			__A( a			):
				snake_case_						   =    '''levit'''




				def __init__(     self		,     _snake_case=224		,     _snake_case=3		,     _snake_case=3		,     _snake_case=2		,     _snake_case=1		,     _snake_case=16		,     _snake_case=[128, 256, 384]		,     _snake_case=[4, 8, 12]		,     _snake_case=[4, 4, 4]		,     _snake_case=[16, 16, 16]		,     _snake_case=0		,     _snake_case=[2, 2, 2]		,     _snake_case=[2, 2, 2]		,     _snake_case=0.02		,     **_snake_case		,     )    ->      Optional[Any]:


								'''simple docstring'''




								super().__init__(**_snake_case				)
								__a										=    image_size
								__a										=    num_channels
								__a										=    kernel_size
								__a										=    stride
								__a										=    padding
								__a										=    hidden_sizes
								__a										=    num_attention_heads
								__a										=    depths
								__a										=    key_dim
								__a										=    drop_path_rate
								__a										=    patch_size
								__a										=    attention_ratio
								__a										=    mlp_ratio
								__a										=    initializer_range
								__a										=    [
								    ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
								    ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
								]







class 			__A( a			):
				snake_case_						   =    version.parse('''1.11'''			)




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Mapping[str, Mapping[int, str]]:


								'''simple docstring'''




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




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      float:


								'''simple docstring'''




								return 1E-4