xenobalanus/src/lib.rs

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Rust
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use delaunator::{triangulate, Point as DelaunatorPoint};
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use geo::{Point, Polygon, LineString, Area};
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use itertools::Itertools;
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use rand::Rng;
use rayon::prelude::*;
use std::cmp::{min, max};
use std::collections::{HashMap, HashSet};
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use std::sync::{Arc, Mutex};
#[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)]
struct Edge(usize, usize);
#[derive(Debug)]
struct TriangleData {
index: usize,
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area: Option<f32>,
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terminal_edge: Option<Edge>,
vertices: Vec<usize>
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}
#[derive(Debug)]
struct GeometryData {
triangles: Vec<TriangleData>,
edge_to_triangles: HashMap<Edge, Vec<usize>>, // Maps an edge to triangle indices
edge_lengths: HashMap<Edge, f32>, // Edge lengths
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vertex_connections: HashMap<usize, HashSet<usize>>, // Direct connections between vertices, for DTSCAN
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}
impl GeometryData {
fn new() -> Self {
GeometryData {
triangles: Vec::new(),
edge_to_triangles: HashMap::new(),
edge_lengths: HashMap::new(),
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vertex_connections: HashMap::new(), // Adjusted for DTSCAN
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}
}
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fn add_triangle(&mut self, index: usize, points: &[Point<f32>], tri_idx: &[usize], types: usize) {
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let point_a: Point<f32> = points[tri_idx[0]];
let point_b: Point<f32> = points[tri_idx[1]];
let point_c: Point<f32> = points[tri_idx[2]];
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let mut vertices = vec![tri_idx[0], tri_idx[1], tri_idx[2]];
vertices.sort_unstable();
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// Temporarily store edges_with_lengths for sorting and determining the terminal_edge.
let mut edges_with_lengths_temp = [
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(Edge(min(tri_idx[0], tri_idx[1]), max(tri_idx[0], tri_idx[1])), distance(point_a.x(), point_a.y(), point_b.x(), point_b.y())),
(Edge(min(tri_idx[1], tri_idx[2]), max(tri_idx[1], tri_idx[2])), distance(point_b.x(), point_b.y(), point_c.x(), point_c.y())),
(Edge(min(tri_idx[2], tri_idx[0]), max(tri_idx[2], tri_idx[0])), distance(point_c.x(), point_c.y(), point_a.x(), point_a.y())),
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].to_vec();
// Sort edges by length to ensure the longest edge is identified.
edges_with_lengths_temp.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
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let terminal_edge: Option<Edge> = edges_with_lengths_temp.first().map(|(edge, _)| *edge);
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let area: Option<f32> = if types == 0 || types == 2 {
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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
};
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if types == 0 || types == 1 {
for &(edge, length) in &edges_with_lengths_temp {
self.vertex_connections.entry(edge.0).or_insert_with(HashSet::new).insert(edge.1);
self.vertex_connections.entry(edge.1).or_insert_with(HashSet::new).insert(edge.0);
self.edge_lengths.insert(edge, length);
self.edge_to_triangles.entry(edge).or_default().push(index);
}
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} else {
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// For types == 2, only update edge_lengths and edge_to_triangles.
for &(edge, length) in &edges_with_lengths_temp {
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self.edge_lengths.insert(edge, length);
self.edge_to_triangles.entry(edge).or_default().push(index);
}
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}
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if types == 0 || types == 2 {
self.triangles.push(TriangleData {
index,
area,
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terminal_edge,
vertices
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});
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}
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}
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}
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fn distance(x1: f32, y1: f32, x2: f32, y2: f32) -> f32 {
((x2 - x1).powi(2) + (y2 - y1).powi(2)).sqrt()
}
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pub fn random_points(center: (f32, f32), side_length: f32, num_points: u32) -> Vec<Point<f32>> {
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// generate random points in a square
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let min_x = center.0 - side_length / 2.0;
let max_x = center.0 + side_length / 2.0;
let min_y = center.1 - side_length / 2.0;
let max_y = center.1 + side_length / 2.0;
let mut points: Vec<Point<f32>> = Vec::with_capacity(num_points as usize);
let mut rng: rand::prelude::ThreadRng = rand::thread_rng();
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for _ in 0..num_points {
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let x = min_x + rng.gen_range(0.0..=1.0) as f32 * ( max_x - min_x);
let y: f32 = min_y + rng.gen_range(0.0..=1.0) as f32 * ( max_y - min_y);
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points.push(Point::new(x, y));
}
points
}
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pub fn delaunay(points: &Vec<Point<f32>>) -> Vec<usize> {
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// Convert geo::Point<f32> to delaunator::Point for triangulation
let delaunator_points: Vec<DelaunatorPoint> = points.iter()
.map(|point: &Point<f32>| 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
}
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pub fn preprocess(points: &[Point<f32>], triangles: &[usize], types: usize) -> GeometryData {
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let geometry_data = Arc::new(Mutex::new(GeometryData::new()));
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triangles.par_chunks(3).enumerate().for_each(|(index, tri_idx)| {
let gd = geometry_data.clone(); // Clone Arc for use in each thread
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gd.lock().unwrap().add_triangle(index, points, tri_idx, types);
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});
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Arc::try_unwrap(geometry_data).unwrap().into_inner().unwrap()
}
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pub fn delfin(
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geometry_data: &GeometryData,
min_area: f32,
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min_distance: f32,
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) -> Vec<HashSet<usize>> {
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// Sort all triangles by the longest terminal edge
let triangles_sorted: Vec<(usize, f32)> = geometry_data.triangles.iter()
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.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()
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})
.sorted_by(|a, b| b.1.partial_cmp(&a.1).unwrap()) // Sort in descending order by edge length
.collect();
let mut void_polygons: Vec<HashSet<usize>> = Vec::new();
let mut processed_triangles: HashSet<usize> = HashSet::new();
for &(triangle_index, terminal_edge_length) in &triangles_sorted {
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// Skip if this triangle has already been processed
if processed_triangles.contains(&triangle_index) {
continue;
}
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// Continue if the terminal edge length is below the minimum distance threshold
if terminal_edge_length < min_distance {
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continue;
}
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// Retrieve triangles that share the terminal edge, continue if less than 2 triangles share it
let triangle_data: &TriangleData = &geometry_data.triangles[triangle_index];
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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;
}
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// Initialize the set with the current triangle and triangles directly connected via their terminal edge
let mut triangle_set: HashSet<usize> = 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<usize> = 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(&current_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<Edge>
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);
}
}
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}
}
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// 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;
}
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}
}
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// Filter out void polygon sets
void_polygons.retain(|poly_set: &HashSet<usize>| {
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// Calculate the total area of the polygon set by summing the areas of the triangles it contains.
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let total_area: f32 = poly_set.iter()
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.filter_map(|&idx| geometry_data.triangles.get(idx).and_then(|td| td.area))
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.sum();
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// Filter based on the area and the minimum number of triangles.
total_area >= min_area && poly_set.len() >= 3
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});
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return void_polygons;
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}
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pub fn dtscan(
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geometry_data: &GeometryData,
min_pts: usize,
max_closeness: f32,
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) -> Vec<Vec<usize>> {
let mut clusters: Vec<Vec<usize>> = Vec::new();
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let mut visited: HashSet<usize> = HashSet::new();
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for (&vertex_idx, neighbors) in &geometry_data.vertex_connections {
if visited.contains(&vertex_idx) {
continue;
}
// Check if vertex is a core vertex based on the number of connections and edge lengths
if neighbors.len() >= min_pts && neighbors.iter().all(|&n| {
if let Some(&length) = geometry_data.edge_lengths.get(&Edge(min(vertex_idx, n), max(vertex_idx, n))) {
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length <= max_closeness
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} else {
false
}
}) {
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let mut cluster: Vec<usize> = Vec::new();
let mut to_expand: Vec<usize> = vec![vertex_idx];
while let Some(current_vertex) = to_expand.pop() {
if !visited.insert(current_vertex) {
continue;
}
cluster.push(current_vertex);
// Add neighbors that are within max_closeness to to_expand
geometry_data.vertex_connections.get(&current_vertex).map(|neighbors: &HashSet<usize>| {
for &neighbor in neighbors {
if let Some(&length) = geometry_data.edge_lengths.get(&Edge(min(current_vertex, neighbor), max(current_vertex, neighbor))) {
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if length <= max_closeness && !visited.contains(&neighbor) {
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to_expand.push(neighbor);
}
}
}
});
}
if !cluster.is_empty() {
clusters.push(cluster); // Add the constructed cluster to the list of clusters
}
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}
}
clusters
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}