formatting
This commit is contained in:
parent
19cea83bd8
commit
8b18c1a570
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@ -0,0 +1,3 @@
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{
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"editor.formatOnSave": true,
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}
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21
src/lib.rs
21
src/lib.rs
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@ -1,17 +1,20 @@
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mod runner;
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mod utils;
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mod spring_model;
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mod graph;
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mod graph;
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mod runner;
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mod spring_model;
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mod utils;
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use pyo3::prelude::*;
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use pyo3::prelude::*;
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/// Formats the sum of two numbers as string.
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/// Formats the sum of two numbers as string.
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#[pyfunction(number_of_nodes, edges, "*", iter=500, threads=0)]
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#[pyfunction(number_of_nodes, edges, "*", iter = 500, threads = 0)]
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fn layout_from_edge_list(number_of_nodes: usize, edges: Vec<(u32, u32)>, iter: usize, threads: usize) -> PyResult<Vec<(f32, f32)>> {
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fn layout_from_edge_list(
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number_of_nodes: usize,
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edges: Vec<(u32, u32)>,
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iter: usize,
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threads: usize,
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) -> PyResult<Vec<(f32, f32)>> {
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let r = runner::Runner::new(iter, threads);
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let r = runner::Runner::new(iter, threads);
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Ok(
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Ok(r.layout(number_of_nodes, edges))
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r.layout(number_of_nodes, edges)
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)
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}
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}
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/// A Python module implemented in Rust.
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/// A Python module implemented in Rust.
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@ -19,4 +22,4 @@ fn layout_from_edge_list(number_of_nodes: usize, edges: Vec<(u32, u32)>, iter: u
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fn graph_force(_py: Python, m: &PyModule) -> PyResult<()> {
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fn graph_force(_py: Python, m: &PyModule) -> PyResult<()> {
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m.add_function(wrap_pyfunction!(layout_from_edge_list, m)?)?;
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m.add_function(wrap_pyfunction!(layout_from_edge_list, m)?)?;
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Ok(())
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Ok(())
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}
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}
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@ -1,4 +1,3 @@
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/**
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/**
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* Read Graph data from file
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* Read Graph data from file
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* Format:
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* Format:
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@ -1,9 +1,8 @@
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use crate::graph::{new_edge_matrix, new_node_vector, EdgeMatrix};
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use std::sync::{Arc, RwLock};
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use std::thread;
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use crate::graph::{EdgeMatrix, new_node_vector, new_edge_matrix};
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use crate::spring_model;
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use crate::spring_model;
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use crate::utils;
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use crate::utils;
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use std::sync::{Arc, RwLock};
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use std::thread;
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pub struct Runner {
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pub struct Runner {
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iterations: usize,
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iterations: usize,
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pub fn new(iterations: usize, threads: usize) -> Self {
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pub fn new(iterations: usize, threads: usize) -> Self {
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if threads == 0 {
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if threads == 0 {
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match std::thread::available_parallelism() {
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match std::thread::available_parallelism() {
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Ok(threads) => Runner { iterations, threads: threads.get() },
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Ok(threads) => Runner {
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Err(_) => Runner { iterations, threads: 1 },
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iterations,
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threads: threads.get(),
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},
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Err(_) => Runner {
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iterations,
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threads: 1,
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},
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}
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}
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} else {
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} else {
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Runner {
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Runner {
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}
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}
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}
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}
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pub fn layout(self: &Self, number_of_nodes: usize, edge_list: Vec<(u32, u32)>) -> Vec<(f32, f32)> {
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pub fn layout(
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self: &Self,
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number_of_nodes: usize,
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edge_list: Vec<(u32, u32)>,
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) -> Vec<(f32, f32)> {
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// let edges = connection_matrix(size);
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// let edges = connection_matrix(size);
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let edges = edge_matrix_from_edge_list(number_of_nodes, edge_list);
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let edges = edge_matrix_from_edge_list(number_of_nodes, edge_list);
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let mut nodes = new_node_vector(number_of_nodes);
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let mut nodes = new_node_vector(number_of_nodes);
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let mut nodes_next = new_node_vector(number_of_nodes);
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let mut nodes_next = new_node_vector(number_of_nodes);
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// let model = Arc::new(RwLock::new(spring_model::InitialModel::new(edges, number_of_nodes)));
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// let model = Arc::new(RwLock::new(spring_model::InitialModel::new(edges, number_of_nodes)));
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let model = Arc::new(RwLock::new(spring_model::MyModel::new(edges, number_of_nodes, self.iterations)));
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let model = Arc::new(RwLock::new(spring_model::MyModel::new(
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edges,
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number_of_nodes,
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self.iterations,
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)));
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let chunks = utils::gen_chunks(number_of_nodes, self.threads);
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let chunks = utils::gen_chunks(number_of_nodes, self.threads);
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for _epoch in 0..self.iterations {
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for _epoch in 0..self.iterations {
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let model = model.clone();
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let model = model.clone();
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let handle = thread::spawn(move || {
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let handle = thread::spawn(move || {
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for n in chunk {
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for n in chunk {
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let update = model.read().unwrap().step(&nodes,n);
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let update = model.read().unwrap().step(&nodes, n);
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let mut result = nodes_next[n].write().unwrap();
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let mut result = nodes_next[n].write().unwrap();
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result.x = update.x;
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result.x = update.x;
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result.y = update.y;
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result.y = update.y;
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for handle in handles {
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for handle in handles {
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handle.join().unwrap();
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handle.join().unwrap();
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}
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}
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// swap nodes and nodes_next
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// swap nodes and nodes_next
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let tmp = nodes.clone();
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let tmp = nodes.clone();
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nodes = nodes_next.clone();
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nodes = nodes_next.clone();
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}
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}
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matrix_ptr
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matrix_ptr
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}
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}
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use crate::graph::{EdgeMatrix, NodeVector, Node};
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use crate::graph::{EdgeMatrix, Node, NodeVector};
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pub struct MyModel {
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pub struct MyModel {
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edges: EdgeMatrix,
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edges: EdgeMatrix,
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}
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}
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impl MyModel {
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impl MyModel {
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pub fn new(edges: EdgeMatrix, size: usize, iterations: 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;
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let opt_dist = 1.0;
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let c = 0.1;
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let c = 0.1;
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MyModel{
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MyModel {
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edges,
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edges,
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size,
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size,
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opt_dist,
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opt_dist,
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c: c,
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c: c,
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dc: c / ((iterations + 1) as f32)
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dc: c / ((iterations + 1) as f32),
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}
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}
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}
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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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self.c -= self.dc;
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}
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}
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pub fn step(&self, nodes: &NodeVector, i_node: usize) -> Node {
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pub fn step(&self, nodes: &NodeVector, i_node: usize) -> Node {
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let node = nodes[i_node].read().unwrap();
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let node = nodes[i_node].read().unwrap();
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let edges = self.edges.read().unwrap();
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let edges = self.edges.read().unwrap();
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let sum_l = (sum_x * sum_x + sum_y * sum_y).sqrt().max(1e-6).recip() * self.c;
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let sum_l = (sum_x * sum_x + sum_y * sum_y).sqrt().max(1e-6).recip() * self.c;
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let sum_x = sum_x * sum_l;
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let sum_x = sum_x * sum_l;
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let sum_y = sum_y * sum_l;
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let sum_y = sum_y * sum_l;
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Node {
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Node {
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x: node_x + sum_x,
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x: node_x + sum_x,
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y: node_y + sum_y,
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y: node_y + sum_y,
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}
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}
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}
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}
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}
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}
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borders
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borders
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}
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}
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#[cfg(test)]
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#[cfg(test)]
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mod test {
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mod test {
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use super::*;
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use super::*;
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let borders = gen_chunks(10, 1);
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let borders = gen_chunks(10, 1);
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assert_eq!(borders, vec![(0..10)]);
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assert_eq!(borders, vec![(0..10)]);
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}
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}
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}
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}
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