




class 				lowerCAmelCase_       :






				def __init__(			self      ,snake_case__ = ""      ,snake_case__ = False ):
							# Mapping from the first character of the prefix of the node
							SCREAMING_SNAKE_CASE_   : dict[str, RadixNode]					  =      {}

							# A node will be a leaf if the tree contains its word
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      is_leaf

							SCREAMING_SNAKE_CASE_   : List[Any]					  =      prefix






				def 		snake_case	(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Dict					  =      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 		snake_case	(			self      ,snake_case__ ):
							for word in words:
										self.insert(snake_case__ )






				def 		snake_case	(			self      ,snake_case__ ):
							# Case 1: If the word is the prefix of the node
							# Solution: We set the current node as leaf
							if self.prefix == word:
										SCREAMING_SNAKE_CASE_   : 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:
										SCREAMING_SNAKE_CASE_   : int					  =      RadixNode(prefix=snake_case__      ,is_leaf=snake_case__ )

							else:
										SCREAMING_SNAKE_CASE_   : int					  =      self.nodes[word[0]]
										SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Dict					  =      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:
													SCREAMING_SNAKE_CASE_   : Any					  =      remaining_prefix

													SCREAMING_SNAKE_CASE_   : List[Any]					  =      self.nodes[matching_string[0]]
													SCREAMING_SNAKE_CASE_   : List[Any]					  =      RadixNode(snake_case__      ,snake_case__ )
													SCREAMING_SNAKE_CASE_   : str					  =      aux_node

													if remaining_word == "":
																SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      True
													else:
																self.nodes[matching_string[0]].insert(snake_case__ )






				def 		snake_case	(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      self.nodes.get(word[0]      ,snake_case__ )
							if not incoming_node:
										return False
							else:
										SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Tuple					  =      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 		snake_case	(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Tuple					  =      self.nodes.get(word[0]      ,snake_case__ )
							if not incoming_node:
										return False
							else:
										SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : List[str]					  =      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:
																						SCREAMING_SNAKE_CASE_   : Any					  =      list(self.nodes.values() )[0]
																						SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      merging_node.is_leaf
																						self.prefix += merging_node.prefix
																						SCREAMING_SNAKE_CASE_   : Dict					  =      merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																elif len(incoming_node.nodes ) > 1:
																			SCREAMING_SNAKE_CASE_   : int					  =      False
																# If there is 1 edge, we merge it with its child
																else:
																			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      list(incoming_node.nodes.values() )[0]
																			SCREAMING_SNAKE_CASE_   : Dict					  =      merging_node.is_leaf
																			incoming_node.prefix += merging_node.prefix
																			SCREAMING_SNAKE_CASE_   : Dict					  =      merging_node.nodes

																return True






				def 		snake_case	(			self      ,snake_case__ = 0 ):
							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						(							)       ->  bool:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      'banana bananas bandana band apple all beast'.split()
			SCREAMING_SNAKE_CASE_   : List[Any]					  =      RadixNode()
			root.insert_many(lowerCamelCase_  )

			assert all(root.find(lowerCamelCase_  ) 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						(							)       ->  None:







			"""simple docstring"""





			assert test_trie()





def        __UpperCAmelCase						(							)       ->  None:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      RadixNode()
			SCREAMING_SNAKE_CASE_   : Dict					  =      'banana bananas bandanas bandana band apple all beast'.split()
			root.insert_many(lowerCamelCase_  )

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


if __name__ == "__main__":
						main()









import os

import numpy
import onnx





def        __UpperCAmelCase						(							lowerCamelCase_ :     str  ,							lowerCamelCase_ :     Optional[Any]  )       ->  Optional[int]:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : int					  =      a.name
			SCREAMING_SNAKE_CASE_   : Dict					  =      b.name

			SCREAMING_SNAKE_CASE_   : str					  =      ''
			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      ''

			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      a == b

			SCREAMING_SNAKE_CASE_   : str					  =      name_a
			SCREAMING_SNAKE_CASE_   : str					  =      name_b

			return res





def        __UpperCAmelCase						(							lowerCamelCase_ :     int  ,							lowerCamelCase_ :     str  ,							lowerCamelCase_ :     Dict  )       ->  Optional[int]:







			"""simple docstring"""





			for i, input_name in enumerate(node_proto.input  ):
						if input_name == name:
									node_proto.input.insert(lowerCamelCase_  ,							lowerCamelCase_  )
									node_proto.input.pop(i + 1  )

			if node_proto.op_type == "If":
						_graph_replace_input_with(node_proto.attribute[0].g  ,							lowerCamelCase_  ,							lowerCamelCase_  )
						_graph_replace_input_with(node_proto.attribute[1].g  ,							lowerCamelCase_  ,							lowerCamelCase_  )
			if node_proto.op_type == "Loop":
						_graph_replace_input_with(node_proto.attribute[0].g  ,							lowerCamelCase_  ,							lowerCamelCase_  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     Tuple  ,							lowerCamelCase_ :     Optional[int]  ,							lowerCamelCase_ :     Dict  )       ->  List[Any]:







			"""simple docstring"""





			for n in graph_proto.node:
						_node_replace_input_with(lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     Tuple  ,							lowerCamelCase_ :     Tuple  ,							lowerCamelCase_ :     Any  )       ->  str:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : str					  =      list(model.graph.initializer  )
			SCREAMING_SNAKE_CASE_   : List[str]					  =      list(model_without_ext.graph.initializer  )
			for i, ref_i in ind_to_replace:
						assert inits_with_data[i].name == inits[i].name
						assert inits_with_data[ref_i].name == inits[ref_i].name
						assert i > ref_i

						SCREAMING_SNAKE_CASE_   : List[str]					  =      inits[i].name
						SCREAMING_SNAKE_CASE_   : str					  =      inits[ref_i].name

						model_without_ext.graph.initializer.remove(inits[i]  )

						# for n in model.graph.node:
						_graph_replace_input_with(model_without_ext.graph  ,							lowerCamelCase_  ,							lowerCamelCase_  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     Dict  )       ->  Dict:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : Tuple					  =      os.path.dirname(lowerCamelCase_  )
			SCREAMING_SNAKE_CASE_   : Tuple					  =      os.path.basename(lowerCamelCase_  )

			SCREAMING_SNAKE_CASE_   : int					  =      onnx.load(os.path.join(lowerCamelCase_  ,							lowerCamelCase_  )  )

			SCREAMING_SNAKE_CASE_   : Any					  =      list(model.graph.initializer  )

			SCREAMING_SNAKE_CASE_   : int					  =      set()
			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      {}
			SCREAMING_SNAKE_CASE_   : Dict					  =      []

			SCREAMING_SNAKE_CASE_   : int					  =      0

			for i in range(len(lowerCamelCase_  )  ):
						if i in dup_set:
									continue

						for j in range(i + 1  ,							len(lowerCamelCase_  )  ):
									if j in dup_set:
												continue
									if _is_equal_tensor_proto(inits[i]  ,							inits[j]  ):
												dup_set.add(lowerCamelCase_  )
												dup_set.add(lowerCamelCase_  )

												SCREAMING_SNAKE_CASE_   : int					  =      inits[j].data_type
												SCREAMING_SNAKE_CASE_   : str					  =      numpy.prod(inits[j].dims  )
												if dtype == 1:
															mem_size *= 4
												elif dtype == 6:
															mem_size *= 4
												elif dtype == 7 or dtype == 11:
															mem_size *= 8
												else:
															print('unexpected data type: '  ,							lowerCamelCase_  )
												total_reduced_size += mem_size

												SCREAMING_SNAKE_CASE_   : int					  =      inits[i].name
												SCREAMING_SNAKE_CASE_   : List[Any]					  =      inits[j].name

												if name_i in dup_map:
															dup_map[name_i].append(lowerCamelCase_  )
												else:
															SCREAMING_SNAKE_CASE_   : Optional[int]					  =      [name_j]
												ind_to_replace.append((j, i)  )

			print('total reduced size: '  ,							total_reduced_size / 10_24 / 10_24 / 10_24  ,							'GB'  )

			SCREAMING_SNAKE_CASE_   : int					  =      sorted(lowerCamelCase_  )
			_remove_dup_initializers_from_model(lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  )

			SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      'optimized_' + model_file_name
			SCREAMING_SNAKE_CASE_   : Optional[int]					  =      os.path.join(lowerCamelCase_  ,							lowerCamelCase_  )
			onnx.save(lowerCamelCase_  ,							lowerCamelCase_  )

			return new_model



