cooling
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633a9261ae
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20
src/main.rs
20
src/main.rs
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@ -63,17 +63,17 @@ fn read_graph(file_name: &str) -> (usize, EdgeMatrix) {
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}
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fn main() -> std::io::Result<()> {
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const ITER: usize = 200;
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const ITER: usize = 50;
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const THREADS: usize = 8;
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// let edges = connection_matrix(size);
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let (size, edges): (usize, EdgeMatrix) = read_graph("../debug_graph.bin");
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let (size, edges): (usize, EdgeMatrix) = read_graph("../graph.bin");
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println!("Size: {}", size);
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let nodes = nodes_list(size);
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let nodes_next = nodes_list(size);
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let mut nodes = nodes_list(size);
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let mut nodes_next = nodes_list(size);
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// let model = Arc::new(RwLock::new(spring_model::InitialModel::new(edges, size)));
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let model = Arc::new(RwLock::new(my_model::MyModel::new(edges, size)));
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let model = Arc::new(RwLock::new(my_model::MyModel::new(edges, size, ITER)));
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let chunks = utils::gen_chunks(size, THREADS);
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for epoch in 0..ITER {
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@ -99,12 +99,10 @@ fn main() -> std::io::Result<()> {
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handle.join().unwrap();
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}
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for i in 0..size {
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let mut node = nodes[i].write().unwrap();
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let node_next = nodes_next[i].read().unwrap();
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node.x = node_next.x;
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node.y = node_next.y;
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}
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// swap nodes and nodes_next
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let tmp = nodes.clone();
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nodes = nodes_next.clone();
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nodes_next = tmp.clone();
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let mut file = File::create(format!("result/{:04}.txt", epoch))?;
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for i in 0..size {
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@ -1,23 +1,23 @@
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use crate::graph::{EdgeMatrix, NodeVector, Node};
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const C_REP: f32 = 0.1;
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const C_SPRING: f32 = 0.1;
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pub struct MyModel {
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edges: EdgeMatrix,
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size: usize,
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opt_dist: f32,
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c: f32,
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dc: f32,
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}
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impl MyModel {
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pub fn new(edges: EdgeMatrix, size: usize) -> MyModel {
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pub fn new(edges: EdgeMatrix, size: usize, iterations: usize) -> MyModel {
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let opt_dist = 1.0 / (size as f32).sqrt();
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MyModel{ edges, size, opt_dist }
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let c = 0.1;
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MyModel{ edges, size, opt_dist, c: c , dc: c / ((iterations + 1) as f32) }
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}
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pub fn prepare(& mut self, nodes: &NodeVector) {
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pub fn prepare(& mut self, _nodes: &NodeVector) {
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self.c -= self.dc;
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}
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pub fn step(&self, nodes: &NodeVector, i_node: usize) -> Node {
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@ -48,14 +48,14 @@ impl MyModel {
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let edge = edges[i_node][o].weight;
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if edge == 0.0 {
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let f_rep = (C_REP / (dist).powi(2)).min(C_REP);
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let f_rep = (self.c / (dist).powi(2)).min(self.c);
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let f_rep_x = f_rep * unit_x;
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let f_rep_y = f_rep * unit_y;
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node_x -= f_rep_x;
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node_y -= f_rep_y;
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} else {
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let f_spring = C_SPRING * 0.5 * (dist - self.opt_dist);
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let f_spring = self.c * 0.5 * (dist - self.opt_dist);
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let f_spring_x = f_spring * unit_x;
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let f_spring_y = f_spring * unit_y;
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node_x += f_spring_x;
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