third vertex, delfin returns list of lists of sets

This commit is contained in:
randogoth 2024-03-19 10:43:13 +02:00
parent ff34614415
commit 708ac7f409

View file

@ -16,7 +16,8 @@ struct Edge(usize, usize);
struct TriangleData {
index: usize,
area: Option<f32>,
terminal_edge: Option<Edge>
terminal_edge: Option<Edge>,
third_vertex: Option<usize>
}
#[derive(Debug)]
@ -53,6 +54,11 @@ impl GeometryData {
edges_with_lengths_temp.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap());
let terminal_edge: Option<Edge> = edges_with_lengths_temp.first().map(|(edge, _)| *edge);
// Determine the third vertex
let third_vertex: Option<usize> = tri_idx.iter().find(|&&idx| {
idx != terminal_edge.unwrap().0 && idx != terminal_edge.unwrap().1
}).copied();
let area: Option<f32> = if types == 0 || types == 2 {
Some(Polygon::new(LineString::from(vec![
(point_a.x(), point_a.y()),
@ -83,7 +89,8 @@ impl GeometryData {
self.triangles.push(TriangleData {
index,
area,
terminal_edge
terminal_edge,
third_vertex
});
}
}
@ -146,7 +153,7 @@ fn delfin(
geometry_data: &GeometryData,
min_area: f32,
min_distance: f32,
) -> Vec<HashSet<usize>> {
) -> Vec<Vec<HashSet<usize>>> {
// Sort all triangles by the longest terminal edge
let triangles_sorted: Vec<(usize, f32)> = geometry_data.triangles.iter()
@ -262,7 +269,24 @@ fn delfin(
area_z_score >= min_area && poly_set.len() >= 3
});
return void_polygons;
void_polygons.iter().map(|triangle_set| {
triangle_set.iter().map(|&triangle_index| {
let triangle = &geometry_data.triangles[triangle_index];
let mut vertices = HashSet::new();
if let Some(terminal_edge) = triangle.terminal_edge {
vertices.insert(terminal_edge.0);
vertices.insert(terminal_edge.1);
}
if let Some(third_vertex) = triangle.third_vertex {
vertices.insert(third_vertex);
}
vertices
})
.collect::<Vec<HashSet<usize>>>()
})
.collect()
}
// Function to recursively expand clusters
@ -342,6 +366,14 @@ fn dtscan(
clusters
}
fn improbability_z_score(total_area: f32, total_dots: u32, sub_area: f32, sub_dots: u32) -> f32 {
// expected dots for the area under a Complete Spatial Randomness scenario
let csr_lambda: f32 = total_dots as f32 - ( sub_area / total_area);
// Z-Score to quantify how improbable a cluster or void is in relation to CSR
let z_score: f32 = (sub_dots as f32 - csr_lambda) / csr_lambda.sqrt();
z_score
}
fn main() {
let dots = 225424;
let mut start = Instant::now();
@ -369,7 +401,7 @@ fn main() {
// Execute delfin function with the generated GeometryData
start = Instant::now();
let void_polygons: Vec<HashSet<usize>> = delfin(&geometry_data, min_area, min_distance);
let void_polygons: Vec<Vec<HashSet<usize>>> = delfin(&geometry_data, min_area, min_distance);
duration = start.elapsed();
println!("Found {:#?} Voids using {:#?} bytes of RAM in: {:#?}", void_polygons.len(), mem::size_of_val(&void_polygons), duration);