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# does not contains the query.
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stack_node = deque([root_id])
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stack_look = deque()
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while stack_node or stack_look:
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if stack_node:
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node_id = stack_node.pop()
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look_node = False
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else:
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node_id = stack_look.pop()
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look_node = True
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point, region, axis, active, left, right = get_properties(node_id)
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# Should consider this node?
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# As it is within a region that does not contains the query, maybe
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# there is no chance to find a closer node in this region
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if look_node:
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inside_region = True
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for i in range(k):
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inside_region &= interval_condition(query[i], region[i][0],
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region[i][1], dist)
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if not inside_region:
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continue
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# Update the distance only if the node is active.
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if active:
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node_distance = dist_fun(query, point)
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if nearest_node_id is None or dist > node_distance:
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nearest_node_id = node_id
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dist = node_distance
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if query[axis] < point[axis]:
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side_node = left
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side_look = right
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else:
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side_node = right
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side_look = left
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if side_node is not None:
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stack_node.append(side_node)
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if side_look is not None:
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stack_look.append(side_look)
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return nearest_node_id, dist"
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4592,"def deactivate(self, node_id):
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""""""Deactivate the node identified by node_id.
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Deactivates the node corresponding to node_id, which means that
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it can never be the output of a nearest_point query.
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Note:
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The node is not removed from the tree, its data is steel available.
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Args:
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node_id (int): The node identifier (given to the user after
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its insertion).
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""""""
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node = self.node_list[node_id]
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self.node_list[node_id] = node._replace(active=False)"
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4593,"def insert(self, point, data=None):
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""""""Insert a new node in the tree.
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Args:
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point (:obj:`tuple` of float or int): Stores the position of the
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node.
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data (:obj, optional): The information stored by the node.
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Returns:
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int: The identifier of the new node.
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Example:
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>>> tree = Tree(4, 800)
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>>> point = (3, 7)
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>>> data = {'name': Fresnel, 'label': blue, 'speed': 98.2}
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>>> node_id = tree.insert(point, data)
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""""""
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assert len(point) == self.k
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if self.size == 0:
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if self.region is None:
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self.region = [[-math.inf, math.inf]] * self.k
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axis = 0
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return self.new_node(point, self.region, axis, data)
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# Iteratively descends to one leaf
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current_id = 0
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while True:
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parent_node = self.node_list[current_id]
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axis = parent_node.axis
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if point[axis] < parent_node.point[axis]:
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next_id, left = parent_node.left, True
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else:
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next_id, left = parent_node.right, False
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if next_id is None:
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