mirror of
https://gitlab.com/veloren/veloren.git
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140 lines
4.6 KiB
Rust
140 lines
4.6 KiB
Rust
use crate::path::Path;
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use core::cmp::Ordering::Equal;
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use hashbrown::{HashMap, HashSet};
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use std::{cmp::Ordering, collections::BinaryHeap, f32, hash::Hash};
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#[derive(Copy, Clone, Debug)]
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pub struct PathEntry<S> {
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cost: f32,
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node: S,
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}
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impl<S: Eq> PartialEq for PathEntry<S> {
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fn eq(&self, other: &PathEntry<S>) -> bool { self.node.eq(&other.node) }
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}
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impl<S: Eq> Eq for PathEntry<S> {}
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impl<S: Eq> Ord for PathEntry<S> {
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// This method implements reverse ordering, so that the lowest cost
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// will be ordered first
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fn cmp(&self, other: &PathEntry<S>) -> Ordering {
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other.cost.partial_cmp(&self.cost).unwrap_or(Equal)
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}
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}
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impl<S: Eq> PartialOrd for PathEntry<S> {
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fn partial_cmp(&self, other: &PathEntry<S>) -> Option<Ordering> { Some(self.cmp(other)) }
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}
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pub enum PathResult<T> {
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None(Path<T>),
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Exhausted(Path<T>),
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Path(Path<T>),
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Pending,
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}
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#[derive(Clone, Debug)]
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pub struct Astar<S: Clone + Eq + Hash> {
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iter: usize,
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max_iters: usize,
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potential_nodes: BinaryHeap<PathEntry<S>>,
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came_from: HashMap<S, S>,
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cheapest_scores: HashMap<S, f32>,
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final_scores: HashMap<S, f32>,
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visited: HashSet<S>,
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lowest_cost: Option<S>,
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}
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impl<S: Clone + Eq + Hash> Astar<S> {
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pub fn new(max_iters: usize, start: S, heuristic: impl FnOnce(&S) -> f32) -> Self {
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Self {
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max_iters,
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iter: 0,
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potential_nodes: std::iter::once(PathEntry {
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cost: 0.0,
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node: start.clone(),
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})
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.collect(),
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came_from: HashMap::default(),
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cheapest_scores: std::iter::once((start.clone(), 0.0)).collect(),
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final_scores: std::iter::once((start.clone(), heuristic(&start))).collect(),
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visited: std::iter::once(start).collect(),
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lowest_cost: None,
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}
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}
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pub fn poll<I>(
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&mut self,
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iters: usize,
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mut heuristic: impl FnMut(&S) -> f32,
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mut neighbors: impl FnMut(&S) -> I,
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mut transition: impl FnMut(&S, &S) -> f32,
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mut satisfied: impl FnMut(&S) -> bool,
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) -> PathResult<S>
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where
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I: Iterator<Item = S>,
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{
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let iter_limit = self.max_iters.min(self.iter + iters);
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while self.iter < iter_limit {
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if let Some(PathEntry { node, .. }) = self.potential_nodes.pop() {
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if satisfied(&node) {
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return PathResult::Path(self.reconstruct_path_to(node));
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} else {
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self.lowest_cost = Some(node.clone());
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for neighbor in neighbors(&node) {
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let node_cheapest = self.cheapest_scores.get(&node).unwrap_or(&f32::MAX);
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let neighbor_cheapest =
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self.cheapest_scores.get(&neighbor).unwrap_or(&f32::MAX);
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let cost = node_cheapest + transition(&node, &neighbor);
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if cost < *neighbor_cheapest {
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self.came_from.insert(neighbor.clone(), node.clone());
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self.cheapest_scores.insert(neighbor.clone(), cost);
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let neighbor_cost = cost + heuristic(&neighbor);
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self.final_scores.insert(neighbor.clone(), neighbor_cost);
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if self.visited.insert(neighbor.clone()) {
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self.potential_nodes.push(PathEntry {
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node: neighbor.clone(),
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cost: neighbor_cost,
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});
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}
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}
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}
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}
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} else {
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return PathResult::None(
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self.lowest_cost
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.clone()
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.map(|lc| self.reconstruct_path_to(lc))
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.unwrap_or_default(),
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);
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}
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self.iter += 1
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}
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if self.iter >= self.max_iters {
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PathResult::Exhausted(
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self.lowest_cost
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.clone()
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.map(|lc| self.reconstruct_path_to(lc))
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.unwrap_or_default(),
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)
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} else {
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PathResult::Pending
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}
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}
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fn reconstruct_path_to(&mut self, end: S) -> Path<S> {
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let mut path = vec![end.clone()];
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let mut cnode = &end;
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while let Some(node) = self.came_from.get(cnode) {
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path.push(node.clone());
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cnode = node;
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}
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path.into_iter().rev().collect()
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}
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}
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