use geo::{Point, Polygon, LineString, EuclideanDistance, Area}; use std::collections::{HashMap, HashSet}; use std::cmp::{min, max}; use rand::Rng; use rayon::prelude::*; use delaunator::{triangulate, Point as DelaunatorPoint}; use itertools::Itertools; use std::sync::{Arc, Mutex}; #[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)] struct Edge(usize, usize); #[derive(Debug)] struct TriangleData { index: usize, area: Option, terminal_edge: Option, edges_with_lengths: Option>, node_connections: Option>, } #[derive(Debug)] struct GeometryData { triangles: Vec, edge_to_triangles: HashMap>, // Maps an edge to triangle indices edge_lengths: HashMap, // Edge lengths vertex_to_triangles: HashMap>, // Maps a vertex to connected triangle indices } impl GeometryData { fn new() -> Self { GeometryData { triangles: Vec::new(), edge_to_triangles: HashMap::new(), edge_lengths: HashMap::new(), vertex_to_triangles: HashMap::new(), } } fn add_triangle(&mut self, index: usize, points: &[Point], tri_idx: &[usize], types: usize) { let point_a = points[tri_idx[0]]; let point_b = points[tri_idx[1]]; let point_c = points[tri_idx[2]]; let edges_with_lengths: Option> = if types == 0 || types == 2 { Some([ (Edge(min(tri_idx[0], tri_idx[1]), max(tri_idx[0], tri_idx[1])), point_a.euclidean_distance(&point_b)), (Edge(min(tri_idx[1], tri_idx[2]), max(tri_idx[1], tri_idx[2])), point_b.euclidean_distance(&point_c)), (Edge(min(tri_idx[2], tri_idx[0]), max(tri_idx[2], tri_idx[0])), point_c.euclidean_distance(&point_a)), ].to_vec().into_iter().sorted_by(|a, b| b.1.partial_cmp(&a.1).unwrap()).collect()) } else { None }; let terminal_edge = edges_with_lengths.as_ref().map(|edges| edges[0].0); let area = if types == 0 || types == 2 { Some(Polygon::new(LineString::from(vec![ (point_a.x(), point_a.y()), (point_b.x(), point_b.y()), (point_c.x(), point_c.y()), (point_a.x(), point_a.y()), ]), vec![]).unsigned_area()) } else { None }; let node_connections: Option> = if types == 0 || types == 1 { Some(tri_idx.iter().cloned().collect()) } else { None }; self.triangles.push(TriangleData { index, area, terminal_edge, edges_with_lengths: edges_with_lengths.clone(), node_connections: node_connections.clone(), }); if let Some(edges) = &edges_with_lengths { for &(edge, length) in edges { self.edge_lengths.insert(edge, length); self.edge_to_triangles.entry(edge).or_default().push(index); } } if let Some(nodes) = &node_connections { for &vertex in nodes { self.vertex_to_triangles.entry(vertex).or_default().push(index); } } } } pub fn random_points(center: (f32, f32), radius: f32, num_points: usize) -> Vec> { let mut rng: rand::prelude::ThreadRng = rand::thread_rng(); let mut points: Vec> = Vec::with_capacity(num_points); for _ in 0..num_points { // Generate a random angle between 0 and 2*PI. let angle: f32 = rng.gen_range(0.0..(2.0 * std::f32::consts::PI)); // Generate a random radius to ensure uniform distribution within the circle. let r: f32 = (rng.gen_range(0.0..=1.0) as f32).sqrt() * radius; // Calculate x and y coordinates based on the random angle and radius. let x: f32 = center.0 + r * angle.cos(); let y: f32 = center.1 + r * angle.sin(); // Add the generated point to the points vector. points.push(Point::new(x, y)); } points } pub fn delaunay(points: &Vec>) -> Vec { // Convert geo::Point to delaunator::Point for triangulation let delaunator_points: Vec = points.iter() .map(|point: &Point| DelaunatorPoint { x: point.x() as f64, y: point.y() as f64 }) .collect(); // Perform Delaunay triangulation let result: delaunator::Triangulation = triangulate(&delaunator_points); // Return the indices of points in the triangles result.triangles } fn preprocess(points: &[Point], triangles: &[usize], types: usize) -> GeometryData { let geometry_data: Arc> = Arc::new(Mutex::new(GeometryData::new())); triangles.par_chunks(6).enumerate().for_each(|(index, tri_idx)| { let points_clone: Vec> = points.to_vec(); // Clone points to avoid borrowing issues let gd: Arc> = geometry_data.clone(); // Clone Arc for use in each thread gd.lock().unwrap().add_triangle(index, &points_clone, tri_idx, types); }); // Extract the GeometryData from the Arc>. This is safe to do here because // the par_iter has completed, and we know no other threads are accessing it. Arc::try_unwrap(geometry_data).unwrap().into_inner().unwrap() } fn mean_std(dataset: Vec) -> (f32, f32) { let mean: f32 = dataset.iter().sum::() / dataset.len() as f32; let std: f32 = (dataset.iter().map(|&length| { let diff = length - mean; diff * diff} ).sum::() / dataset.len() as f32).sqrt(); (mean, std) } fn delfin( geometry_data: &GeometryData, min_area: f32, min_distance: f32, ) -> Vec> { // Sort all triangles by the longest terminal edge let triangles_sorted: Vec<(usize, f32)> = geometry_data.triangles.iter() .filter_map(|triangle_data| { // Only consider triangles with a terminal edge triangle_data.terminal_edge.map(|terminal_edge| { // Retrieve the length of the terminal edge if it exists geometry_data.edge_lengths.get(&terminal_edge) .map(|&length| (triangle_data.index, length)) }).flatten() }) .sorted_by(|a, b| b.1.partial_cmp(&a.1).unwrap()) // Sort in descending order by edge length .collect(); // Calculate areas for triangles that have an area calculated let areas: Vec = geometry_data.triangles.par_iter() .filter_map(|triangle_data| triangle_data.area) .map(|area| area) .collect(); // Calculate mean and standard deviation of terminal edges lengths let terminal_edge_lengths: Vec = geometry_data.triangles.par_iter() .filter_map(|triangle_data| { triangle_data.terminal_edge.and_then(|edge| geometry_data.edge_lengths.get(&edge)) }) .cloned() .collect(); let (mean_terminal_edge, std_terminal_edge) = mean_std(terminal_edge_lengths); let (mean_area, std_area) = mean_std(areas); let mut void_polygons: Vec> = Vec::new(); let mut processed_triangles: HashSet = HashSet::new(); for &(triangle_index, terminal_edge_length) in &triangles_sorted { // Skip if this triangle has already been processed if processed_triangles.contains(&triangle_index) { continue; } // Calculate the Z-score for the terminal edge length let distance_z_score: f32 = (terminal_edge_length - mean_terminal_edge) / std_terminal_edge; // Continue if the Z-score is below the minimum distance threshold if distance_z_score < min_distance { continue; } // Retrieve triangles that share the terminal edge, continue if less than 2 triangles share it let triangle_data: &TriangleData = &geometry_data.triangles[triangle_index]; if let Some(terminal_edge) = triangle_data.terminal_edge { if let Some(connected_triangles) = geometry_data.edge_to_triangles.get(&terminal_edge) { // Proceed only if there are 2 or more triangles sharing the terminal edge if connected_triangles.len() < 2 { continue; } // Initialize the set with the current triangle and triangles directly connected via their terminal edge let mut triangle_set: HashSet = connected_triangles.iter().cloned().collect(); triangle_set.insert(triangle_index); processed_triangles.extend(&triangle_set); // Dynamically expand the set based on the terminal edge sharing criterion let mut triangles_to_expand: HashSet = triangle_set.clone(); while let Some(current_idx) = triangles_to_expand.iter().next().cloned() { // Remove the current triangle index from the set to avoid reprocessing triangles_to_expand.remove(¤t_idx); // Iterate over each triangle that shares a terminal edge for &neighbor_idx in connected_triangles { // Skip if this triangle has already been considered or processed if triangle_set.contains(&neighbor_idx) || processed_triangles.contains(&neighbor_idx) { continue; } // Safely access the neighbor triangle's data using its index if let Some(neighbor_data) = geometry_data.triangles.get(neighbor_idx) { // Check if the neighbor shares the same terminal edge // Directly compare the terminal edges as they are both Option if neighbor_data.terminal_edge == Some(terminal_edge) { // If they share the same terminal edge, include the neighbor in the current void polygon set triangle_set.insert(neighbor_idx); processed_triangles.insert(neighbor_idx); triangles_to_expand.insert(neighbor_idx); } } } } // Add the expanded set to void polygons void_polygons.push(triangle_set); } else { // If no connected triangles are found for the terminal edge, simply skip to the next triangle continue; } } } // Filter out void polygon sets void_polygons.retain(|poly_set: &HashSet| { // Calculate the total area of the polygon set by summing the areas of the triangles it contains. let total_area: f32 = poly_set.iter() .filter_map(|&idx| geometry_data.triangles.get(idx).and_then(|td| td.area)) .sum(); // Calculate the area Z-score if std_area is non-zero to avoid division by zero. let area_z_score: f32 = if std_area != 0.0 { (total_area - mean_area) / std_area } else { -5.0 }; // Filter based on the area Z-score and the minimum number of triangles. area_z_score >= min_area && poly_set.len() >= 3 }); return void_polygons; } fn main() { let points: Vec> = random_points((0.0, 0.0), 1000.0, 10000); let triangles_indices: Vec = delaunay(&points); // Preprocess to create GeometryData let geometry_data: GeometryData = preprocess(&points, &triangles_indices, 0); // Define minimum area and minimum distance for delfin function let min_area: f32 = 4.0; // Example threshold for voidness let min_distance: f32 = 1.0; // Example threshold for minimum distance (Z-score) // Execute delfin function with the generated GeometryData let void_polygons: Vec> = delfin(&geometry_data, min_area, min_distance); // To display the result, let's just print the count of void polygons found println!("Void Polygons Found: {:?}", void_polygons.len()); }