use std::cmp; use pathfinding::directed::dijkstra::dijkstra; const ONE_ATTRIBUTE: u32 = 1000; const MAX_DISTANCE: u32 = 8; fn index_proximity(lhs: u32, rhs: u32) -> u32 { if lhs <= rhs { cmp::min(rhs - lhs, MAX_DISTANCE) } else { cmp::min(lhs - rhs, MAX_DISTANCE) + 1 } } fn positions_proximity(lhs: u32, rhs: u32) -> u32 { let (lhs_attr, lhs_index) = extract_position(lhs); let (rhs_attr, rhs_index) = extract_position(rhs); if lhs_attr != rhs_attr { MAX_DISTANCE } else { index_proximity(lhs_index, rhs_index) } } // Returns the attribute and index parts. fn extract_position(position: u32) -> (u32, u32) { (position / ONE_ATTRIBUTE, position % ONE_ATTRIBUTE) } #[derive(Debug, Clone, PartialOrd, Ord, PartialEq, Eq, Hash)] struct Path(Vec); impl Path { fn new(positions: &[Vec]) -> Option { let position = positions.first()?.first()?; Some(Path(vec![*position])) } // TODO we must skip the successors that have already been sent fn successors(&self, positions: &[Vec]) -> Vec<(Path, u32)> { let mut successors = Vec::new(); // If we can grow or shift the path if self.0.len() < positions.len() { for next_pos in &positions[self.0.len()] { let mut grown_path = self.0.clone(); grown_path.push(*next_pos); let path = Path(grown_path); let proximity = path.proximity(); successors.push((path, proximity)); } } // We retrieve the tail of the current path and try to find // the successor of this tail. let next_path_tail = dbg!(self.0.last().unwrap() + 1); // To do so we add 1 to the tail and check that something exists. let path_tail_index = dbg!(positions[self.0.len() - 1].binary_search(&next_path_tail).unwrap_or_else(|p| p)); // If we found something it means that we can shift the path. if let Some(pos) = positions[self.0.len() - 1].get(path_tail_index) { let mut shifted_path = self.0.clone(); *shifted_path.last_mut().unwrap() = *pos; let path = Path(shifted_path); let proximity = path.proximity(); successors.push((path, proximity)); } eprintln!("self: {:?}", self); successors.iter().for_each(|s| eprintln!("successor: {:?}", s)); successors } fn proximity(&self) -> u32 { self.0.windows(2).map(|ps| positions_proximity(ps[0], ps[1])).sum::() } fn is_complete(&self, positions: &[Vec]) -> bool { positions.len() == self.0.len() } } pub struct BestProximity { positions: Vec>, best_proximity: u32, } impl BestProximity { pub fn new(positions: Vec>) -> BestProximity { BestProximity { positions, best_proximity: 0 } } fn is_path_successful(&self, path: &Path) -> bool { path.is_complete(&self.positions) && path.proximity() >= self.best_proximity } } impl Iterator for BestProximity { type Item = (u32, Vec>); fn next(&mut self) -> Option { let mut output: Option<(u32, Vec>)> = None; loop { let result = dijkstra( &Path::new(&self.positions)?, |p| p.successors(&self.positions), |p| self.is_path_successful(p) && output.as_ref().map_or(true, |paths| !paths.1.contains(&p.0)), ); match dbg!(result) { Some((mut paths, _)) => { let positions = paths.pop().unwrap(); let proximity = positions.proximity(); // If the current output is match dbg!(&mut output) { Some((best_proximity, paths)) => { // If the shortest path we found is bigger than the one requested // it means that we found all the paths with the same proximity and can // return those to the user. if proximity > *best_proximity { break; } // We add the new path to the output list as this path is known // to be the requested distance. paths.push(positions.0); }, None => output = Some((positions.proximity(), vec![positions.0])), } }, None => break, } } if let Some((proximity, _)) = output.as_ref() { self.best_proximity = proximity + 1; } output } } #[cfg(test)] mod tests { use super::*; #[test] fn same_attribute() { let positions = vec![ vec![0, 2, 3, 4 ], vec![ 1, ], vec![ 3, 6], ]; let mut iter = BestProximity::new(positions); assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3 assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4 assert_eq!(iter.next(), Some((3+2, vec![vec![3, 1, 3]]))); // 5 assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6], vec![4, 1, 3]]))); // 6 assert_eq!(iter.next(), Some((2+5, vec![vec![2, 1, 6]]))); // 7 assert_eq!(iter.next(), Some((3+5, vec![vec![3, 1, 6]]))); // 8 assert_eq!(iter.next(), Some((4+5, vec![vec![4, 1, 6]]))); // 9 assert_eq!(iter.next(), None); } #[test] fn different_attributes() { let positions = vec![ vec![0, 2, 1000, 1001, 2000 ], vec![ 1, 1000, 2001 ], vec![ 3, 6, 2002, 3000], ]; let mut iter = BestProximity::new(positions); assert_eq!(iter.next(), Some((1+1, vec![vec![2000, 2001, 2002]]))); // 2 assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3 assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4 assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6]]))); // 6 // We ignore others here... } #[test] fn easy_proximities() { fn slice_proximity(positions: &[u32]) -> u32 { positions.windows(2).map(|ps| positions_proximity(ps[0], ps[1])).sum::() } assert_eq!(slice_proximity(&[1000, 1000, 2002]), 8); } }