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https://github.com/andreytkachenko/kdtree-rust.git
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Working on add tree, fixed an issue on build tree where it did not build using sliding midpoint value
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@ -49,6 +49,20 @@ impl<KdtreePoint: KdtreePointTrait> Kdtree<KdtreePoint> {
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squared_euclidean(&self.nearest_search(node).dims(), node.dims()) <= squared_range
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}
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pub fn insert_node(&mut self, node_to_add : &KdtreePoint) {
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let current_index = 0;
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loop {
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let current_node = &self.nodes[current_index];
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if node_to_add.dims()[current_node.dimension] <= current_node.split_on {
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} else {
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}
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break;
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}
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}
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fn nearest_search_impl(&self, p: &KdtreePoint, searched_index: usize, best_distance_squared: &mut f64, best_leaf_found: &mut usize) {
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let node = &self.nodes[searched_index];
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@ -95,7 +109,7 @@ impl<KdtreePoint: KdtreePointTrait> Kdtree<KdtreePoint> {
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fn build_tree(&mut self, nodes: &mut [KdtreePoint], bounds: &Bounds) -> usize {
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let (splitting_index, pivot_value) = partition::partition_sliding_midpoint(nodes, bounds.get_midvalue_of_widest_dim(), bounds.get_widest_dim());
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let node_id = self.add_node(nodes[splitting_index], bounds.get_widest_dim(), bounds.get_midvalue_of_widest_dim());
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let node_id = self.add_node(nodes[splitting_index], bounds.get_widest_dim(), pivot_value);
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let nodes_len = nodes.len();
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if splitting_index > 0 {
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@ -214,6 +228,18 @@ mod tests {
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assert_eq!(true,tree.has_neighbor_in_range(&Point2WithId::new(0,0.,0.), 300.));
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}
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#[test]
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fn incremental_add_adds_as_expected() {
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let mut vec = vec![Point2WithId::new(0,0.,0.)];
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let mut tree = Kdtree::new(&mut vec);
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tree.insert_node(&Point2WithId::new(0,1.,0.));
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tree.insert_node(&Point2WithId::new(0,-1.,0.));
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assert_eq!(tree.nodes.len(), 3);
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}
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fn qc_value_vec_to_2d_points_vec(xs: &Vec<f64>) -> Vec<Point2WithId> {
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let mut vec: Vec<Point2WithId> = vec![];
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for i in 0..xs.len() {
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