// Copyright (C) 2017-2018 The Runiter Project Developers. // // This program is free software: you can redistribute it and/or modify // it under the terms of the GNU Affero General Public License as // published by the Free Software Foundation, either version 3 of the // License, or (at your option) any later version. // // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU Affero General Public License for more details. // // You should have received a copy of the GNU Affero General Public License // along with this program. If not, see . //! Provide a trait and implementations to find paths between nodes. use data::NodeId; use data::WebOfTrust; use std::collections::HashSet; /// Find paths between 2 nodes of a `WebOfTrust`. pub trait PathFinder { /// Get paths from one node to the other. fn find_paths(&self, wot: &T, from: NodeId, to: NodeId, k_max: u32) -> Vec>; } /// A new "rusty-er" implementation of `WoT` path finding. #[derive(Debug, Clone, Copy)] pub struct RustyPathFinder; impl PathFinder for RustyPathFinder { fn find_paths(&self, wot: &T, from: NodeId, to: NodeId, k_max: u32) -> Vec> { if from.0 >= wot.size() || to.0 >= wot.size() { return vec![]; } // 1. We explore the k_max area around `to`, and only remember backward // links of the smallest distance. // Stores for each node its distance to `to` node and its backward links. // By default all nodes are out of range (`k_max + 1`) and links are known. let mut graph: Vec<(u32, Vec)> = (0..wot.size()) .into_iter() .map(|_| (k_max + 1, vec![])) .collect(); // `to` node is at distance 0, and have no backward links. graph[to.0] = (0, vec![]); // Explored zone border. let mut border = HashSet::new(); border.insert(to); for distance in 1..(k_max + 1) { let mut next_border = HashSet::new(); for node in border { for source in &wot.get_links_source(node).unwrap() { if graph[source.0].0 > distance { // shorter path, we replace graph[source.0] = (distance, vec![node]); next_border.insert(*source); } else if graph[source.0].0 == distance { // same length, we combine graph[source.0].1.push(node); next_border.insert(*source); } } } border = next_border; } // 2. If `from` is found, we follow the backward links and build paths. // For each path, we look at the last element sources and build new paths with them. let mut paths = vec![vec![from]]; for _ in 1..(k_max + 1) { let mut new_paths = vec![]; for path in &paths { let node = path.last().unwrap(); if node == &to { // If path is complete, we keep it. new_paths.push(path.clone()) } else { // If not complete we comlete paths let sources = &graph[node.0]; for source in &sources.1 { let mut new_path = path.clone(); new_path.push(*source); new_paths.push(new_path); } } } paths = new_paths; } paths } }