Merge branch 'imbris/server-start-faster' into 'master'

Improve server startup times, in particular, finding paths between sites.

See merge request veloren/veloren!3888

common/src/astar.rs

@@ -4,12 +4,13 @@ use core::{
     fmt,
     hash::{BuildHasher, Hash},
 };
-use hashbrown::{HashMap, HashSet};
+use hashbrown::HashMap;
 use std::collections::BinaryHeap;
 
 #[derive(Copy, Clone, Debug)]
 pub struct PathEntry<S> {
-    cost: f32,
+    // cost so far + heursitic
+    cost_estimate: f32,
     node: S,
 }
 
@@ -23,25 +24,50 @@ impl<S: Eq> Ord for PathEntry<S> {
     // This method implements reverse ordering, so that the lowest cost
     // will be ordered first
     fn cmp(&self, other: &PathEntry<S>) -> Ordering {
-        other.cost.partial_cmp(&self.cost).unwrap_or(Equal)
+        other
+            .cost_estimate
+            .partial_cmp(&self.cost_estimate)
+            .unwrap_or(Equal)
     }
 }
 
 impl<S: Eq> PartialOrd for PathEntry<S> {
     fn partial_cmp(&self, other: &PathEntry<S>) -> Option<Ordering> { Some(self.cmp(other)) }
+
+    // This is particularily hot in `BinaryHeap::pop`, so we provide this
+    // implementation.
+    //
+    // NOTE: This probably doesn't handle edge cases like `NaNs` in a consistent
+    // manner with `Ord`, but I don't think we need to care about that here(?)
+    //
+    // See note about reverse ordering above.
+    fn le(&self, other: &PathEntry<S>) -> bool { other.cost_estimate <= self.cost_estimate }
 }
 
 pub enum PathResult<T> {
+    /// No reachable nodes were satisfactory.
+    ///
+    /// Contains path to node with the lowest heuristic value (out of the
+    /// explored nodes).
     None(Path<T>),
+    /// Either max_iters or max_cost was reached.
+    ///
+    /// Contains path to node with the lowest heuristic value (out of the
+    /// explored nodes).
     Exhausted(Path<T>),
-    Path(Path<T>),
+    /// Path succefully found.
+    ///
+    /// Second field is cost.
+    Path(Path<T>, f32),
     Pending,
 }
 
 impl<T> PathResult<T> {
-    pub fn into_path(self) -> Option<Path<T>> {
+    /// Returns `Some((path, cost))` if a path reaching the target was
+    /// successfully found.
+    pub fn into_path(self) -> Option<(Path<T>, f32)> {
         match self {
-            PathResult::Path(path) => Some(path),
+            PathResult::Path(path, cost) => Some((path, cost)),
             _ => None,
         }
     }
@@ -50,23 +76,38 @@ impl<T> PathResult<T> {
         match self {
             PathResult::None(p) => PathResult::None(f(p)),
             PathResult::Exhausted(p) => PathResult::Exhausted(f(p)),
-            PathResult::Path(p) => PathResult::Path(f(p)),
+            PathResult::Path(p, cost) => PathResult::Path(f(p), cost),
             PathResult::Pending => PathResult::Pending,
         }
     }
 }
 
+// If node entry exists, this was visited!
+#[derive(Clone, Debug)]
+struct NodeEntry<S> {
+    /// Previous node in the cheapest path (known so far) that goes from the
+    /// start to this node.
+    ///
+    /// If `came_from == self` this is the start node! (to avoid inflating the
+    /// size with `Option`)
+    came_from: S,
+    /// Cost to reach this node from the start by following the cheapest path
+    /// known so far. This is the sum of the transition costs between all the
+    /// nodes on this path.
+    cost: f32,
+}
+
 #[derive(Clone)]
 pub struct Astar<S, Hasher> {
     iter: usize,
     max_iters: usize,
-    potential_nodes: BinaryHeap<PathEntry<S>>,
+    max_cost: f32,
-    came_from: HashMap<S, S, Hasher>,
+    potential_nodes: BinaryHeap<PathEntry<S>>, // cost, node pairs
-    cheapest_scores: HashMap<S, f32, Hasher>,
+    visited_nodes: HashMap<S, NodeEntry<S>, Hasher>,
-    final_scores: HashMap<S, f32, Hasher>,
+    /// Node with the lowest heuristic value so far.
-    visited: HashSet<S, Hasher>,
+    ///
-    cheapest_node: Option<S>,
+    /// (node, heuristic value)
-    cheapest_cost: Option<f32>,
+    closest_node: Option<(S, f32)>,
 }
 
 /// NOTE: Must manually derive since Hasher doesn't implement it.
@@ -76,12 +117,8 @@ impl<S: Clone + Eq + Hash + fmt::Debug, H: BuildHasher> fmt::Debug for Astar<S,
             .field("iter", &self.iter)
             .field("max_iters", &self.max_iters)
             .field("potential_nodes", &self.potential_nodes)
-            .field("came_from", &self.came_from)
+            .field("visited_nodes", &self.visited_nodes)
-            .field("cheapest_scores", &self.cheapest_scores)
+            .field("closest_node", &self.closest_node)
-            .field("final_scores", &self.final_scores)
-            .field("visited", &self.visited)
-            .field("cheapest_node", &self.cheapest_node)
-            .field("cheapest_cost", &self.cheapest_cost)
             .finish()
     }
 }
@@ -90,72 +127,110 @@ impl<S: Clone + Eq + Hash, H: BuildHasher + Clone> Astar<S, H> {
     pub fn new(max_iters: usize, start: S, hasher: H) -> Self {
         Self {
             max_iters,
+            max_cost: f32::MAX,
             iter: 0,
             potential_nodes: core::iter::once(PathEntry {
-                cost: 0.0,
+                cost_estimate: 0.0,
                 node: start.clone(),
             })
             .collect(),
-            came_from: HashMap::with_hasher(hasher.clone()),
+            visited_nodes: {
-            cheapest_scores: {
+                let mut s = HashMap::with_capacity_and_hasher(1, hasher);
-                let mut h = HashMap::with_capacity_and_hasher(1, hasher.clone());
+                s.extend(core::iter::once((start.clone(), NodeEntry {
-                h.extend(core::iter::once((start.clone(), 0.0)));
+                    came_from: start,
-                h
+                    cost: 0.0,
-            },
+                })));
-            final_scores: {
-                let mut h = HashMap::with_capacity_and_hasher(1, hasher.clone());
-                h.extend(core::iter::once((start.clone(), 0.0)));
-                h
-            },
-            visited: {
-                let mut s = HashSet::with_capacity_and_hasher(1, hasher);
-                s.extend(core::iter::once(start));
                 s
             },
-            cheapest_node: None,
+            closest_node: None,
-            cheapest_cost: None,
         }
     }
 
+    pub fn with_max_cost(mut self, max_cost: f32) -> Self {
+        self.max_cost = max_cost;
+        self
+    }
+
     pub fn poll<I>(
         &mut self,
         iters: usize,
+        // Estimate how far we are from the target? but we are given two nodes...
+        // (current, previous)
         mut heuristic: impl FnMut(&S, &S) -> f32,
+        // get neighboring nodes
         mut neighbors: impl FnMut(&S) -> I,
-        mut transition: impl FnMut(&S, &S) -> f32,
+        // have we reached target?
         mut satisfied: impl FnMut(&S) -> bool,
     ) -> PathResult<S>
     where
-        I: Iterator<Item = S>,
+        I: Iterator<Item = (S, f32)>, // (node, transition cost)
     {
         let iter_limit = self.max_iters.min(self.iter + iters);
         while self.iter < iter_limit {
-            if let Some(PathEntry { node, .. }) = self.potential_nodes.pop() {
+            if let Some(PathEntry {
+                node,
+                cost_estimate,
+            }) = self.potential_nodes.pop()
+            {
+                let (node_cost, came_from) = self
+                    .visited_nodes
+                    .get(&node)
+                    .map(|n| (n.cost, n.came_from.clone()))
+                    .expect("All nodes in the queue should be included in visisted_nodes");
+
                 if satisfied(&node) {
-                    return PathResult::Path(self.reconstruct_path_to(node));
+                    return PathResult::Path(self.reconstruct_path_to(node), node_cost);
+                // Note, we assume that cost_estimate isn't an overestimation
+                // (i.e. that `heuristic` doesn't overestimate).
+                } else if cost_estimate > self.max_cost {
+                    return PathResult::Exhausted(
+                        self.closest_node
+                            .clone()
+                            .map(|(lc, _)| self.reconstruct_path_to(lc))
+                            .unwrap_or_default(),
+                    );
                 } else {
-                    for neighbor in neighbors(&node) {
+                    for (neighbor, transition_cost) in neighbors(&node) {
-                        let node_cheapest = self.cheapest_scores.get(&node).unwrap_or(&f32::MAX);
+                        if neighbor == came_from {
-                        let neighbor_cheapest =
+                            continue;
-                            self.cheapest_scores.get(&neighbor).unwrap_or(&f32::MAX);
+                        }
+                        let neighbor_cost = self
+                            .visited_nodes
+                            .get(&neighbor)
+                            .map_or(f32::MAX, |n| n.cost);
 
-                        let cost = node_cheapest + transition(&node, &neighbor);
+                        // compute cost to traverse to each neighbor
-                        if cost < *neighbor_cheapest {
+                        let cost = node_cost + transition_cost;
-                            self.came_from.insert(neighbor.clone(), node.clone());
+
-                            self.cheapest_scores.insert(neighbor.clone(), cost);
+                        if cost < neighbor_cost {
+                            let previously_visited = self
+                                .visited_nodes
+                                .insert(neighbor.clone(), NodeEntry {
+                                    came_from: node.clone(),
+                                    cost,
+                                })
+                                .is_some();
                             let h = heuristic(&neighbor, &node);
-                            let neighbor_cost = cost + h;
+                            // note that `cost` field does not include the heuristic
-                            self.final_scores.insert(neighbor.clone(), neighbor_cost);
+                            // priority queue does include heuristic
+                            let cost_estimate = cost + h;
 
-                            if self.cheapest_cost.map(|cc| h < cc).unwrap_or(true) {
+                            if self
-                                self.cheapest_node = Some(node.clone());
+                                .closest_node
-                                self.cheapest_cost = Some(h);
+                                .as_ref()
+                                .map(|&(_, ch)| h < ch)
+                                .unwrap_or(true)
+                            {
+                                self.closest_node = Some((node.clone(), h));
                             };
 
-                            if self.visited.insert(neighbor.clone()) {
+                            // TODO: I think the if here should be removed
+                            // if we hadn't already visited, add this to potential nodes, what about
+                            // its neighbors, wouldn't they need to be revisted???
+                            if !previously_visited {
                                 self.potential_nodes.push(PathEntry {
+                                    cost_estimate,
                                     node: neighbor,
-                                    cost: neighbor_cost,
                                 });
                             }
                         }
@@ -163,9 +238,9 @@ impl<S: Clone + Eq + Hash, H: BuildHasher + Clone> Astar<S, H> {
                 }
             } else {
                 return PathResult::None(
-                    self.cheapest_node
+                    self.closest_node
                         .clone()
-                        .map(|lc| self.reconstruct_path_to(lc))
+                        .map(|(lc, _)| self.reconstruct_path_to(lc))
                         .unwrap_or_default(),
                 );
             }
@@ -175,9 +250,9 @@ impl<S: Clone + Eq + Hash, H: BuildHasher + Clone> Astar<S, H> {
 
         if self.iter >= self.max_iters {
             PathResult::Exhausted(
-                self.cheapest_node
+                self.closest_node
                     .clone()
-                    .map(|lc| self.reconstruct_path_to(lc))
+                    .map(|(lc, _)| self.reconstruct_path_to(lc))
                     .unwrap_or_default(),
             )
         } else {
@@ -185,12 +260,15 @@ impl<S: Clone + Eq + Hash, H: BuildHasher + Clone> Astar<S, H> {
         }
     }
 
-    pub fn get_cheapest_cost(&self) -> Option<f32> { self.cheapest_cost }
-
     fn reconstruct_path_to(&mut self, end: S) -> Path<S> {
         let mut path = vec![end.clone()];
         let mut cnode = &end;
-        while let Some(node) = self.came_from.get(cnode) {
+        while let Some(node) = self
+            .visited_nodes
+            .get(cnode)
+            .map(|n| &n.came_from)
+            .filter(|n| *n != cnode)
+        {
             path.push(node.clone());
             cnode = node;
         }

common/src/path.rs

@@ -537,6 +537,17 @@ where
     };
 
     let heuristic = |pos: &Vec3<i32>, _: &Vec3<i32>| (pos.distance_squared(end) as f32).sqrt();
+    let transition = |a: Vec3<i32>, b: Vec3<i32>| {
+        let crow_line = LineSegment2 {
+            start: startf.xy(),
+            end: endf.xy(),
+        };
+
+        // Modify the heuristic a little in order to prefer paths that take us on a
+        // straight line toward our target. This means we get smoother movement.
+        1.0 + crow_line.distance_to_point(b.xy().map(|e| e as f32)) * 0.025
+            + (b.z - a.z - 1).max(0) as f32 * 10.0
+    };
     let neighbors = |pos: &Vec3<i32>| {
         let pos = *pos;
         const DIRS: [Vec3<i32>; 17] = [
@@ -616,7 +627,10 @@ where
                                 .map(|b| !b.is_solid())
                                 .unwrap_or(true)))
             })
-            .map(move |(pos, dir)| pos + dir)
+            .map(|(pos, dir)| {
+                let destination = pos + dir;
+                (destination, transition(pos, destination))
+            })
         // .chain(
         //     DIAGONALS
         //         .iter()
@@ -627,17 +641,6 @@ where
         // )
     };
 
-    let transition = |a: &Vec3<i32>, b: &Vec3<i32>| {
-        let crow_line = LineSegment2 {
-            start: startf.xy(),
-            end: endf.xy(),
-        };
-
-        // Modify the heuristic a little in order to prefer paths that take us on a
-        // straight line toward our target. This means we get smoother movement.
-        1.0 + crow_line.distance_to_point(b.xy().map(|e| e as f32)) * 0.025
-            + (b.z - a.z - 1).max(0) as f32 * 10.0
-    };
     let satisfied = |pos: &Vec3<i32>| pos == &end;
 
     let mut new_astar = match astar.take() {
@@ -645,12 +648,12 @@ where
         Some(astar) => astar,
     };
 
-    let path_result = new_astar.poll(100, heuristic, neighbors, transition, satisfied);
+    let path_result = new_astar.poll(100, heuristic, neighbors, satisfied);
 
     *astar = Some(new_astar);
 
     match path_result {
-        PathResult::Path(path) => {
+        PathResult::Path(path, _cost) => {
             *astar = None;
             (Some(path), true)
         },

common/src/states/utils.rs

@@ -942,6 +942,12 @@ pub fn handle_manipulate_loadout(
                         BuildHasherDefault::<FxHasher64>::default(),
                     );
 
+                    // Transition uses manhattan distance as the cost, with a slightly lower cost
+                    // for z transitions
+                    let transition = |a: Vec3<i32>, b: Vec3<i32>| {
+                        let (a, b) = (a.map(|x| x as f32), b.map(|x| x as f32));
+                        ((a - b) * Vec3::new(1.0, 1.0, 0.9)).map(|e| e.abs()).sum()
+                    };
                     // Neighbors are all neighboring blocks that are air
                     let neighbors = |pos: &Vec3<i32>| {
                         const DIRS: [Vec3<i32>; 6] = [
@@ -953,24 +959,23 @@ pub fn handle_manipulate_loadout(
                             Vec3::new(0, 0, -1),
                         ];
                         let pos = *pos;
-                        DIRS.iter().map(move |dir| dir + pos).filter(|pos| {
+                        DIRS.iter()
+                            .map(move |dir| {
+                                let dest = dir + pos;
+                                (dest, transition(pos, dest))
+                            })
+                            .filter(|(pos, _)| {
                                 data.terrain
                                     .get(*pos)
                                     .ok()
                                     .map_or(false, |block| !block.is_filled())
                             })
                     };
-                    // Transition uses manhattan distance as the cost, with a slightly lower cost
-                    // for z transitions
-                    let transition = |a: &Vec3<i32>, b: &Vec3<i32>| {
-                        let (a, b) = (a.map(|x| x as f32), b.map(|x| x as f32));
-                        ((a - b) * Vec3::new(1.0, 1.0, 0.9)).map(|e| e.abs()).sum()
-                    };
                     // Pathing satisfied when it reaches the sprite position
                     let satisfied = |pos: &Vec3<i32>| *pos == sprite_pos;
 
                     let not_blocked_by_terrain = astar
-                        .poll(iters, heuristic, neighbors, transition, satisfied)
+                        .poll(iters, heuristic, neighbors, satisfied)
                         .into_path()
                         .is_some();
 

common/src/terrain/map.rs

@@ -3,6 +3,7 @@ use super::{
     vec2_as_uniform_idx, TerrainChunkSize, NEIGHBOR_DELTA, TERRAIN_CHUNK_BLOCKS_LG,
 };
 use crate::vol::RectVolSize;
+use common_base::prof_span;
 use core::{f32, f64, iter, ops::RangeInclusive};
 use vek::*;
 
@@ -451,6 +452,7 @@ impl<'a> MapConfig<'a> {
         sample_wpos: impl Fn(Vec2<i32>) -> f32,
         mut write_pixel: impl FnMut(Vec2<usize>, (u8, u8, u8, u8)),
     ) -> MapDebug {
+        prof_span!("MapConfig::generate");
         let MapConfig {
             map_size_lg,
             dimensions,

common/state/src/state.rs

@@ -24,7 +24,7 @@ use common::{
     vol::{ReadVol, WriteVol},
     weather::{Weather, WeatherGrid},
 };
-use common_base::span;
+use common_base::{prof_span, span};
 use common_ecs::{PhysicsMetrics, SysMetrics};
 use common_net::sync::{interpolation as sync_interp, WorldSyncExt};
 use core::{convert::identity, time::Duration};
@@ -179,6 +179,7 @@ impl State {
         map_size_lg: MapSizeLg,
         default_chunk: Arc<TerrainChunk>,
     ) -> specs::World {
+        prof_span!("State::setup_ecs_world");
         let mut ecs = specs::World::new();
         // Uids for sync
         ecs.register_sync_marker();

rtsim/src/rule/npc_ai.rs

@@ -52,10 +52,10 @@ fn path_in_site(start: Vec2<i32>, end: Vec2<i32>, site: &site2::Site) -> PathRes
     let heuristic = |tile: &Vec2<i32>, _: &Vec2<i32>| tile.as_::<f32>().distance(end.as_());
     let mut astar = Astar::new(1000, start, BuildHasherDefault::<FxHasher64>::default());
 
-    let transition = |a: &Vec2<i32>, b: &Vec2<i32>| {
+    let transition = |a: Vec2<i32>, b: Vec2<i32>| {
         let distance = a.as_::<f32>().distance(b.as_());
-        let a_tile = site.tiles.get(*a);
+        let a_tile = site.tiles.get(a);
-        let b_tile = site.tiles.get(*b);
+        let b_tile = site.tiles.get(b);
 
         let terrain = match &b_tile.kind {
             TileKind::Empty => 3.0,
@@ -79,12 +79,12 @@ fn path_in_site(start: Vec2<i32>, end: Vec2<i32>, site: &site2::Site) -> PathRes
         let building = if a_tile.is_building() && b_tile.is_road() {
             a_tile
                 .plot
-                .and_then(|plot| is_door_tile(plot, *a).then_some(1.0))
+                .and_then(|plot| is_door_tile(plot, a).then_some(1.0))
                 .unwrap_or(10000.0)
         } else if b_tile.is_building() && a_tile.is_road() {
             b_tile
                 .plot
-                .and_then(|plot| is_door_tile(plot, *b).then_some(1.0))
+                .and_then(|plot| is_door_tile(plot, b).then_some(1.0))
                 .unwrap_or(10000.0)
         } else if (a_tile.is_building() || b_tile.is_building()) && a_tile.plot != b_tile.plot {
             10000.0
@@ -97,10 +97,13 @@ fn path_in_site(start: Vec2<i32>, end: Vec2<i32>, site: &site2::Site) -> PathRes
 
     let neighbors = |tile: &Vec2<i32>| {
         let tile = *tile;
-        CARDINALS.iter().map(move |c| tile + *c)
+        CARDINALS.iter().map(move |c| {
+            let n = tile + *c;
+            (n, transition(tile, n))
+        })
     };
 
-    astar.poll(1000, heuristic, neighbors, transition, |tile| {
+    astar.poll(1000, heuristic, neighbors, |tile| {
         *tile == end || site.tiles.get_known(*tile).is_none()
     })
 }
@@ -135,17 +138,22 @@ fn path_between_sites(
 
     let mut astar = Astar::new(250, start, BuildHasherDefault::<FxHasher64>::default());
 
-    let neighbors = |site: &Id<civ::Site>| world.civs().neighbors(*site);
+    let transition = |a: Id<civ::Site>, b: Id<civ::Site>| {
-
-    let transition = |a: &Id<civ::Site>, b: &Id<civ::Site>| {
         world
             .civs()
-            .track_between(*a, *b)
+            .track_between(a, b)
             .map(|(id, _)| world.civs().tracks.get(id).cost)
             .unwrap_or(f32::INFINITY)
     };
+    let neighbors = |site: &Id<civ::Site>| {
+        let site = *site;
+        world
+            .civs()
+            .neighbors(site)
+            .map(move |n| (n, transition(n, site)))
+    };
 
-    let path = astar.poll(250, heuristic, neighbors, transition, |site| *site == end);
+    let path = astar.poll(250, heuristic, neighbors, |site| *site == end);
 
     path.map(|path| {
         let path = path
@@ -170,7 +178,7 @@ fn path_site(
         let end = site.wpos_tile_pos(end.as_());
 
         let nodes = match path_in_site(start, end, site) {
-            PathResult::Path(p) => p.nodes,
+            PathResult::Path(p, _c) => p.nodes,
             PathResult::Exhausted(p) => p.nodes,
             PathResult::None(_) | PathResult::Pending => return None,
         };
@@ -198,7 +206,7 @@ fn path_towns(
             path: p.nodes.into(),
             repoll: true,
         }),
-        PathResult::Path(p) => Some(PathData {
+        PathResult::Path(p, _c) => Some(PathData {
             end,
             path: p.nodes.into(),
             repoll: false,

server/src/lib.rs

@@ -83,6 +83,7 @@ use common::{
     terrain::{TerrainChunk, TerrainChunkSize},
     vol::RectRasterableVol,
 };
+use common_base::prof_span;
 use common_ecs::run_now;
 use common_net::{
     msg::{ClientType, DisconnectReason, ServerGeneral, ServerInfo, ServerMsg},
@@ -221,6 +222,7 @@ impl Server {
         data_dir: &std::path::Path,
         runtime: Arc<Runtime>,
     ) -> Result<Self, Error> {
+        prof_span!("Server::new");
         info!("Server data dir is: {}", data_dir.display());
         if settings.auth_server_address.is_none() {
             info!("Authentication is disabled");
@@ -282,6 +284,8 @@ impl Server {
             default_chunk: Arc::new(world.generate_oob_chunk()),
         };
 
+        let lod = lod::Lod::from_world(&world, index.as_index_ref(), &pools);
+
         let mut state = State::server(
             pools,
             world.sim().map_size_lg(),
@@ -451,9 +455,7 @@ impl Server {
         // Insert the world into the ECS (todo: Maybe not an Arc?)
         let world = Arc::new(world);
         state.ecs_mut().insert(Arc::clone(&world));
-        state
+        state.ecs_mut().insert(lod);
-            .ecs_mut()
-            .insert(lod::Lod::from_world(&world, index.as_index_ref()));
         state.ecs_mut().insert(index.clone());
 
         // Set starting time for the server.

server/src/lod.rs

@@ -17,19 +17,23 @@ pub struct Lod {
 
 impl Lod {
     #[cfg(feature = "worldgen")]
-    pub fn from_world(world: &World, index: IndexRef) -> Self {
+    pub fn from_world(world: &World, index: IndexRef, threadpool: &rayon::ThreadPool) -> Self {
-        let mut zones = HashMap::new();
+        common_base::prof_span!("Lod::from_world");
-
+        threadpool.install(|| {
             let zone_sz = (world.sim().get_size() + lod::ZONE_SIZE - 1) / lod::ZONE_SIZE;
 
-        for i in 0..zone_sz.x {
+            use rayon::prelude::*;
-            for j in 0..zone_sz.y {
+            let zones = (0..zone_sz.x)
+                .into_par_iter()
+                .flat_map(|i| (0..zone_sz.y).into_par_iter().map(move |j| (i, j)))
+                .map(|(i, j)| {
                     let zone_pos = Vec2::new(i, j).map(|e| e as i32);
-                zones.insert(zone_pos, world.get_lod_zone(zone_pos, index));
+                    (zone_pos, world.get_lod_zone(zone_pos, index))
-            }
+                })
-        }
+                .collect();
 
             Self { zones }
+        })
     }
 
     #[cfg(not(feature = "worldgen"))]

world/Cargo.toml

@@ -72,6 +72,9 @@ name = "tree"
 name = "chunk_compression_benchmarks"
 required-features = ["bin_compression"]
 
+[[example]]
+name = "world_generate_time"
+
 [[example]]
 name = "world_block_statistics"
 required-features = ["bin_compression"]

world/examples/world_generate_time.rs

@@ -0,0 +1,23 @@
+use std::time::Instant;
+use veloren_world::{
+    sim::{FileOpts, WorldOpts, DEFAULT_WORLD_MAP},
+    World,
+};
+
+fn main() {
+    let threadpool = rayon::ThreadPoolBuilder::new().build().unwrap();
+
+    let start = Instant::now();
+    let (world, index) = World::generate(
+        0,
+        WorldOpts {
+            seed_elements: true,
+            // Load default map from assets.
+            world_file: FileOpts::LoadAsset(DEFAULT_WORLD_MAP.into()),
+            calendar: None,
+        },
+        &threadpool,
+    );
+    core::hint::black_box((world, index));
+    println!("{} ms", start.elapsed().as_nanos() / 1_000_000);
+}

world/src/civ/mod.rs

@@ -21,6 +21,7 @@ use common::{
     },
     vol::RectVolSize,
 };
+use common_base::prof_span;
 use core::{fmt, hash::BuildHasherDefault, ops::Range};
 use fxhash::FxHasher64;
 use rand::prelude::*;
@@ -160,7 +161,7 @@ impl<'a, R: Rng> GenCtx<'a, R> {
 
 impl Civs {
     pub fn generate(seed: u32, sim: &mut WorldSim, index: &mut Index) -> Self {
-        common_base::prof_span!("Civs::generate");
+        prof_span!("Civs::generate");
         let mut this = Self::default();
         let rng = ChaChaRng::from_seed(seed_expan::rng_state(seed));
         let name_rng = rng.clone();
@@ -181,14 +182,18 @@ impl Civs {
         // this.generate_caves(&mut ctx);
 
         info!("starting civilisation creation");
+        prof_span!(guard, "create civs");
         for _ in 0..initial_civ_count {
+            prof_span!("create civ");
             debug!("Creating civilisation...");
             if this.birth_civ(&mut ctx.reseed()).is_none() {
                 warn!("Failed to find starting site for civilisation.");
             }
         }
+        drop(guard);
         info!(?initial_civ_count, "all civilisations created");
 
+        prof_span!(guard, "find locations and establish sites");
         for _ in 0..initial_civ_count * 3 {
             attempt(5, || {
                 let (loc, kind) = match ctx.rng.gen_range(0..64) {
@@ -260,11 +265,13 @@ impl Civs {
                 }))
             });
         }
+        drop(guard);
 
         // Tick
         //=== old economy is gone
 
         // Flatten ground around sites
+        prof_span!(guard, "Flatten ground around sites");
         for site in this.sites.values() {
             let wpos = site.center * TerrainChunkSize::RECT_SIZE.map(|e: u32| e as i32);
 
@@ -329,8 +336,10 @@ impl Civs {
                 }
             }
         }
+        drop(guard);
 
         // Place sites in world
+        prof_span!(guard, "Place sites in world");
         let mut cnt = 0;
         for sim_site in this.sites.values_mut() {
             cnt += 1;
@@ -426,6 +435,7 @@ impl Civs {
             }
             debug!(?sim_site.center, "Placed site at location");
         }
+        drop(guard);
         info!(?cnt, "all sites placed");
 
         //this.display_info();
@@ -455,11 +465,12 @@ impl Civs {
             }
         }
 
+        // TODO: this looks optimizable
+
         // collect natural resources
+        prof_span!(guard, "collect natural resources");
         let sites = &mut index.sites;
-        (0..ctx.sim.map_size_lg().chunks_len())
+        (0..ctx.sim.map_size_lg().chunks_len()).for_each(|posi| {
-            .into_iter()
-            .for_each(|posi| {
             let chpos = uniform_idx_as_vec2(ctx.sim.map_size_lg(), posi);
             let wpos = chpos.map(|e| e as i64) * TerrainChunkSize::RECT_SIZE.map(|e| e as i64);
             let closest_site = (*sites)
@@ -472,6 +483,7 @@ impl Civs {
                     .add_chunk(ctx.sim.get(chpos).unwrap(), distance_squared);
             }
         });
+        drop(guard);
         sites
             .iter_mut()
             .for_each(|(_, s)| s.economy.cache_economy());
@@ -671,9 +683,12 @@ impl Civs {
                 .distance_squared(self.sites.get(b).center) as f32)
                 .sqrt()
         };
-        let neighbors = |p: &Id<Site>| self.neighbors(*p);
+        let transition =
-        let transition = |a: &Id<Site>, b: &Id<Site>| {
+            |a: Id<Site>, b: Id<Site>| self.tracks.get(self.track_between(a, b).unwrap().0).cost;
-            self.tracks.get(self.track_between(*a, *b).unwrap().0).cost
+        let neighbors = |p: &Id<Site>| {
+            let p = *p;
+            self.neighbors(p)
+                .map(move |neighbor| (neighbor, transition(p, neighbor)))
         };
         let satisfied = |p: &Id<Site>| *p == b;
         // We use this hasher (FxHasher64) because
@@ -681,10 +696,7 @@ impl Civs {
         // (2) we care about determinism across computers (ruling out AAHash);
         // (3) we have 8-byte keys (for which FxHash is fastest).
         let mut astar = Astar::new(100, a, BuildHasherDefault::<FxHasher64>::default());
-        astar
+        astar.poll(100, heuristic, neighbors, satisfied).into_path()
-            .poll(100, heuristic, neighbors, transition, satisfied)
-            .into_path()
-            .and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
     }
 
     fn birth_civ(&mut self, ctx: &mut GenCtx<impl Rng>) -> Option<Id<Civ>> {
@@ -730,7 +742,7 @@ impl Civs {
 
     /// Adds lake POIs and names them
     fn name_biomes(&mut self, ctx: &mut GenCtx<impl Rng>) {
-        common_base::prof_span!("name_biomes");
+        prof_span!("name_biomes");
         let map_size_lg = ctx.sim.map_size_lg();
         let world_size = map_size_lg.chunks();
         let mut biomes: Vec<(common::terrain::BiomeKind, Vec<usize>)> = Vec::new();
@@ -769,7 +781,7 @@ impl Civs {
             biomes.push((biome, filled));
         }
 
-        common_base::prof_span!("after flood fill");
+        prof_span!("after flood fill");
         let mut biome_count = 0;
         for biome in biomes {
             let name = match biome.0 {
@@ -1013,7 +1025,7 @@ impl Civs {
 
     /// Adds mountain POIs and name them
     fn name_peaks(&mut self, ctx: &mut GenCtx<impl Rng>) {
-        common_base::prof_span!("name_peaks");
+        prof_span!("name_peaks");
         let map_size_lg = ctx.sim.map_size_lg();
         const MIN_MOUNTAIN_ALT: f32 = 600.0;
         const MIN_MOUNTAIN_CHAOS: f32 = 0.35;
@@ -1093,6 +1105,7 @@ impl Civs {
         loc: Vec2<i32>,
         site_fn: impl FnOnce(Id<Place>) -> Site,
     ) -> Id<Site> {
+        prof_span!("establish_site");
         const SITE_AREA: Range<usize> = 1..4; //64..256;
 
         fn establish_site(
@@ -1112,10 +1125,17 @@ impl Civs {
         let site = establish_site(self, ctx, loc, site_fn);
 
         // Find neighbors
-        const MAX_NEIGHBOR_DISTANCE: f32 = 2000.0;
+        // Note, the maximum distance that I have so far observed not hitting the
+        // iteration limit in `find_path` is 364. So I think this is a reasonable
+        // limit (although the relationship between distance and pathfinding iterations
+        // can be a bit variable). Note, I have seen paths reach the iteration limit
+        // with distances as small as 137, so this certainly doesn't catch all
+        // cases that would fail.
+        const MAX_NEIGHBOR_DISTANCE: f32 = 400.0;
         let mut nearby = self
             .sites
             .iter()
+            .filter(|&(id, _)| id != site)
             .filter(|(_, p)| {
                 matches!(
                     p.kind,
@@ -1139,21 +1159,20 @@ impl Civs {
         | SiteKind::DesertCity
         | SiteKind::Castle = self.sites[site].kind
         {
-            for (nearby, _) in nearby.into_iter().take(5) {
+            for (nearby, _) in nearby.into_iter().take(4) {
-                // Find a novel path
+                prof_span!("for nearby");
-                if let Some((path, cost)) = find_path(
+                // Find a route using existing paths
-                    ctx,
+                //
-                    |start| self.bridges.get(&start).map(|(end, _)| *end),
+                // If the novel path isn't efficient compared to this, don't use it
-                    loc,
+                let max_novel_cost = self
-                    self.sites.get(nearby).center,
-                ) {
-                    // Find a path using existing paths
-                    if self
                     .route_between(site, nearby)
-                        // If the novel path isn't efficient compared to existing routes, don't use it
+                    .map_or(f32::MAX, |(_, route_cost)| route_cost / 3.0);
-                        .filter(|(_, route_cost)| *route_cost < cost * 3.0)
+
-                        .is_none()
+                let start = loc;
-                    {
+                let end = self.sites.get(nearby).center;
+                // Find a novel path.
+                let get_bridge = |start| self.bridges.get(&start).map(|(end, _)| *end);
+                if let Some((path, cost)) = find_path(ctx, get_bridge, start, end, max_novel_cost) {
                     // Write the track to the world as a path
                     for locs in path.nodes().windows(3) {
                         let mut randomize_offset = false;
@@ -1164,8 +1183,7 @@ impl Civs {
                         {
                             ctx.sim.get_mut(locs[0]).unwrap().path.0.neighbors |=
                                 1 << ((i as u8 + 4) % 8);
-                                ctx.sim.get_mut(locs[1]).unwrap().path.0.neighbors |=
+                            ctx.sim.get_mut(locs[1]).unwrap().path.0.neighbors |= 1 << (i as u8);
-                                    1 << (i as u8);
                             randomize_offset = true;
                         }
 
@@ -1176,8 +1194,7 @@ impl Civs {
                         {
                             ctx.sim.get_mut(locs[2]).unwrap().path.0.neighbors |=
                                 1 << ((i as u8 + 4) % 8);
-                                ctx.sim.get_mut(locs[1]).unwrap().path.0.neighbors |=
+                            ctx.sim.get_mut(locs[1]).unwrap().path.0.neighbors |= 1 << (i as u8);
-                                    1 << (i as u8);
                             randomize_offset = true;
                         } else if !self.bridges.contains_key(&locs[1]) {
                             let center = (locs[1] + locs[2]) / 2;
@@ -1218,10 +1235,8 @@ impl Civs {
                         */
                         if randomize_offset {
                             let mut chunk = ctx.sim.get_mut(locs[1]).unwrap();
-                                chunk.path.0.offset = Vec2::new(
+                            chunk.path.0.offset =
-                                    ctx.rng.gen_range(-16..17),
+                                Vec2::new(ctx.rng.gen_range(-16..17), ctx.rng.gen_range(-16..17));
-                                    ctx.rng.gen_range(-16..17),
-                                );
                         }
                     }
 
@@ -1234,7 +1249,6 @@ impl Civs {
                 }
             }
         }
-        }
 
         site
     }
@@ -1302,21 +1316,25 @@ fn find_path(
     get_bridge: impl Fn(Vec2<i32>) -> Option<Vec2<i32>>,
     a: Vec2<i32>,
     b: Vec2<i32>,
+    max_path_cost: f32,
 ) -> Option<(Path<Vec2<i32>>, f32)> {
+    prof_span!("find_path");
     const MAX_PATH_ITERS: usize = 100_000;
     let sim = &ctx.sim;
+    // NOTE: If heuristic overestimates the actual cost, then A* is not guaranteed
+    // to produce the least-cost path (since it will explore partially based on
+    // the heuristic).
+    // TODO: heuristic can be larger than actual cost, since existing bridges cost
+    // 1.0 (after the 1.0 that is added to everthting), but they can cover
+    // multiple chunks.
     let heuristic = move |l: &Vec2<i32>, _: &Vec2<i32>| (l.distance_squared(b) as f32).sqrt();
-    let get_bridge = &get_bridge;
     let neighbors = |l: &Vec2<i32>| {
         let l = *l;
-        NEIGHBORS
+        let bridge = get_bridge(l);
-            .iter()
+        let potential = walk_in_all_dirs(sim, bridge, l);
-            .filter_map(move |dir| walk_in_dir(sim, get_bridge, l, *dir))
+        potential
-            .map(move |(p, _)| p)
+            .into_iter()
-    };
+            .filter_map(|p| p.map(|(node, cost)| (node, cost + 1.0)))
-    let transition = |a: &Vec2<i32>, b: &Vec2<i32>| {
-        1.0 + walk_in_dir(sim, get_bridge, *a, (*b - *a).map(|e| e.signum()))
-            .map_or(10000.0, |(_, cost)| cost)
     };
     let satisfied = |l: &Vec2<i32>| *l == b;
     // We use this hasher (FxHasher64) because
@@ -1327,73 +1345,103 @@ fn find_path(
         MAX_PATH_ITERS,
         a,
         BuildHasherDefault::<FxHasher64>::default(),
-    );
+    )
+    .with_max_cost(max_path_cost);
     astar
-        .poll(MAX_PATH_ITERS, heuristic, neighbors, transition, satisfied)
+        .poll(MAX_PATH_ITERS, heuristic, neighbors, satisfied)
         .into_path()
-        .and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
 }
 
 /// Return Some if travel between a location and a chunk next to it is permitted
 /// If permitted, the approximate relative const of traversal is given
 // (TODO: by whom?)
-fn walk_in_dir(
+/// Return tuple: (final location, cost)
+///
+/// For efficiency, this computes for all 8 directions at once.
+fn walk_in_all_dirs(
     sim: &WorldSim,
-    get_bridge: impl Fn(Vec2<i32>) -> Option<Vec2<i32>>,
+    bridge: Option<Vec2<i32>>,
     a: Vec2<i32>,
-    dir: Vec2<i32>,
+) -> [Option<(Vec2<i32>, f32)>; 8] {
-) -> Option<(Vec2<i32>, f32)> {
+    let mut potential = [None; 8];
-    if let Some(p) = get_bridge(a).filter(|p| (p - a).map(|e| e.signum()) == dir) {
+
-        // Traversing an existing bridge has no cost.
+    let adjacents = NEIGHBORS.map(|dir| a + dir);
-        Some((p, 0.0))
+
-    } else if loc_suitable_for_walking(sim, a + dir) {
+    let Some(a_chunk) = sim.get(a) else { return potential };
-        let a_chunk = sim.get(a)?;
+    let mut chunks = [None; 8];
-        let b_chunk = sim.get(a + dir)?;
+    for i in 0..8 {
+        if loc_suitable_for_walking(sim, adjacents[i]) {
+            chunks[i] = sim.get(adjacents[i]);
+        }
+    }
+
+    for i in 0..8 {
+        let Some(b_chunk) = chunks[i] else { continue };
 
         let hill_cost = ((b_chunk.alt - a_chunk.alt).abs() / 5.0).powi(2);
-
         let water_cost = (b_chunk.water_alt - b_chunk.alt + 8.0).clamped(0.0, 8.0) * 3.0; // Try not to path swamps / tidal areas
         let wild_cost = if b_chunk.path.0.is_way() {
             0.0 // Traversing existing paths has no additional cost!
         } else {
             3.0 // + (1.0 - b_chunk.tree_density) * 20.0 // Prefer going through forests, for aesthetics
         };
-        Some((a + dir, 1.0 + hill_cost + water_cost + wild_cost))
+
-    } else if dir.x == 0 || dir.y == 0 {
+        let cost = 1.0 + hill_cost + water_cost + wild_cost;
-        (4..=5).find_map(|i| {
+        potential[i] = Some((adjacents[i], cost));
+    }
+
+    // Look for potential bridge spots in the cardinal directions if
+    // `loc_suitable_for_wallking` was false for the adjacent chunk.
+    for (i, &dir) in NEIGHBORS.iter().enumerate() {
+        let is_cardinal_dir = dir.x == 0 || dir.y == 0;
+        if is_cardinal_dir && potential[i].is_none() {
+            // if we can skip over unsuitable area with a bridge
+            potential[i] = (4..=5).find_map(|i| {
                 loc_suitable_for_walking(sim, a + dir * i)
                     .then(|| (a + dir * i, 120.0 + (i - 4) as f32 * 10.0))
-        })
+            });
-    } else {
-        None
         }
     }
 
+    // If current position is a bridge, skip to its destination.
+    if let Some(p) = bridge {
+        let dir = (p - a).map(|e| e.signum());
+        if let Some((dir_index, _)) = NEIGHBORS
+            .iter()
+            .enumerate()
+            .find(|(_, n_dir)| **n_dir == dir)
+        {
+            potential[dir_index] = Some((p, 0.0));
+        }
+    }
+
+    potential
+}
+
 /// Return true if a position is suitable for walking on
 fn loc_suitable_for_walking(sim: &WorldSim, loc: Vec2<i32>) -> bool {
     if sim.get(loc).is_some() {
-        !NEIGHBORS.iter().any(|n| {
+        NEIGHBORS.iter().all(|n| {
             sim.get(loc + *n)
-                .map_or(false, |chunk| chunk.river.near_water())
+                .map_or(false, |chunk| !chunk.river.near_water())
         })
     } else {
         false
     }
 }
 
-/// Return true if a site could be constructed between a location and a chunk
-/// next to it is permitted (TODO: by whom?)
-fn site_in_dir(sim: &WorldSim, a: Vec2<i32>, dir: Vec2<i32>, site_kind: SiteKind) -> bool {
-    loc_suitable_for_site(sim, a, site_kind) && loc_suitable_for_site(sim, a + dir, site_kind)
-}
-
 /// Return true if a position is suitable for site construction (TODO:
 /// criteria?)
-fn loc_suitable_for_site(sim: &WorldSim, loc: Vec2<i32>, site_kind: SiteKind) -> bool {
+fn loc_suitable_for_site(
+    sim: &WorldSim,
+    loc: Vec2<i32>,
+    site_kind: SiteKind,
+    is_suitable_loc: bool,
+) -> bool {
     fn check_chunk_occupation(sim: &WorldSim, loc: Vec2<i32>, radius: i32) -> bool {
         for x in (-radius)..radius {
             for y in (-radius)..radius {
-                let check_loc = loc + Vec2::new(x, y).cpos_to_wpos();
+                let check_loc = loc + Vec2::new(x, y);
                 if sim.get(check_loc).map_or(false, |c| !c.sites.is_empty()) {
                     return false;
                 }
@@ -1401,8 +1449,9 @@ fn loc_suitable_for_site(sim: &WorldSim, loc: Vec2<i32>, site_kind: SiteKind) ->
         }
         true
     }
-    let not_occupied = check_chunk_occupation(sim, loc, site_kind.exclusion_radius());
+    let not_occupied = || check_chunk_occupation(sim, loc, site_kind.exclusion_radius());
-    site_kind.is_suitable_loc(loc, sim) && not_occupied
+    // only check occupation if the location is suitable
+    is_suitable_loc && not_occupied()
 }
 
 /// Attempt to search for a location that's suitable for site construction
@@ -1411,6 +1460,7 @@ fn find_site_loc(
     proximity_reqs: &ProximityRequirements,
     site_kind: SiteKind,
 ) -> Option<Vec2<i32>> {
+    prof_span!("find_site_loc");
     const MAX_ATTEMPTS: usize = 10000;
     let mut loc = None;
     for _ in 0..MAX_ATTEMPTS {
@@ -1421,16 +1471,15 @@ fn find_site_loc(
             )
         });
 
-        if proximity_reqs.satisfied_by(test_loc) {
+        let is_suitable_loc = site_kind.is_suitable_loc(test_loc, ctx.sim);
-            if loc_suitable_for_site(ctx.sim, test_loc, site_kind) {
+        if is_suitable_loc && proximity_reqs.satisfied_by(test_loc) {
+            if loc_suitable_for_site(ctx.sim, test_loc, site_kind, is_suitable_loc) {
                 return Some(test_loc);
             }
 
-            loc = ctx.sim.get(test_loc).and_then(|c| {
+            // If the current location is suitable and meets proximity requirements,
-                site_kind
+            // try nearby spot downhill.
-                    .is_suitable_loc(test_loc, ctx.sim)
+            loc = ctx.sim.get(test_loc).and_then(|c| c.downhill);
-                    .then_some(c.downhill?.wpos_to_cpos())
-            });
         }
     }
 

world/src/lib.rs

@@ -55,11 +55,11 @@ use common::{
     },
     vol::{ReadVol, RectVolSize, WriteVol},
 };
+use common_base::prof_span;
 use common_net::msg::{world_msg, WorldMapMsg};
 use enum_map::EnumMap;
 use rand::{prelude::*, Rng};
 use rand_chacha::ChaCha8Rng;
-use rayon::iter::ParallelIterator;
 use serde::Deserialize;
 use std::time::Duration;
 use vek::*;
@@ -110,6 +110,7 @@ impl World {
         opts: sim::WorldOpts,
         threadpool: &rayon::ThreadPool,
     ) -> (Self, IndexOwned) {
+        prof_span!("World::generate");
         // NOTE: Generating index first in order to quickly fail if the color manifest
         // is broken.
         threadpool.install(|| {
@@ -136,6 +137,7 @@ impl World {
     }
 
     pub fn get_map_data(&self, index: IndexRef, threadpool: &rayon::ThreadPool) -> WorldMapMsg {
+        prof_span!("World::get_map_data");
         threadpool.install(|| {
             // we need these numbers to create unique ids for cave ends
             let num_sites = self.civs().sites().count() as u64;
@@ -562,6 +564,7 @@ impl World {
         let mut objects = Vec::new();
 
         // Add trees
+        prof_span!(guard, "add trees");
         objects.append(
             &mut self
                 .sim()
@@ -600,6 +603,7 @@ impl World {
                 })
                 .collect(),
         );
+        drop(guard);
 
         // Add buildings
         objects.extend(

world/src/sim/mod.rs

@@ -51,6 +51,7 @@ use common::{
     },
     vol::RectVolSize,
 };
+use common_base::prof_span;
 use common_net::msg::WorldMapMsg;
 use noise::{
     BasicMulti, Billow, Fbm, HybridMulti, MultiFractal, NoiseFn, RangeFunction, RidgedMulti,
@@ -668,6 +669,7 @@ pub struct WorldSim {
 
 impl WorldSim {
     pub fn generate(seed: u32, opts: WorldOpts, threadpool: &rayon::ThreadPool) -> Self {
+        prof_span!("WorldSim::generate");
         let calendar = opts.calendar; // separate lifetime of elements
         let world_file = opts.world_file;
 
@@ -1586,6 +1588,7 @@ impl WorldSim {
     /// Draw a map of the world based on chunk information.  Returns a buffer of
     /// u32s.
     pub fn get_map(&self, index: IndexRef, calendar: Option<&Calendar>) -> WorldMapMsg {
+        prof_span!("WorldSim::get_map");
         let mut map_config = MapConfig::orthographic(
             self.map_size_lg(),
             core::ops::RangeInclusive::new(CONFIG.sea_level, CONFIG.sea_level + self.max_height),
@@ -1603,6 +1606,7 @@ impl WorldSim {
         };
 
         let samples_data = {
+            prof_span!("samples data");
             let column_sample = ColumnGen::new(self);
             (0..self.map_size_lg().chunks_len())
                 .into_par_iter()
@@ -2293,10 +2297,10 @@ impl WorldSim {
         &self,
         wpos_min: Vec2<i32>,
         wpos_max: Vec2<i32>,
-    ) -> impl ParallelIterator<Item = TreeAttr> + '_ {
+    ) -> impl Iterator<Item = TreeAttr> + '_ {
         self.gen_ctx
             .structure_gen
-            .par_iter(wpos_min, wpos_max)
+            .iter(wpos_min, wpos_max)
             .filter_map(move |(wpos, seed)| {
                 let lottery = self.make_forest_lottery(wpos);
                 Some(TreeAttr {

world/src/sim/util.rs

@@ -3,6 +3,7 @@ use common::{
     terrain::{neighbors, uniform_idx_as_vec2, vec2_as_uniform_idx, MapSizeLg, TerrainChunkSize},
     vol::RectVolSize,
 };
+use common_base::prof_span;
 use noise::{MultiFractal, NoiseFn, Perlin, Seedable};
 use num::Float;
 use rayon::prelude::*;
@@ -374,6 +375,7 @@ pub fn get_horizon_map<F: Float + Sync, A: Send, H: Send>(
     to_angle: impl Fn(F) -> A + Sync,
     to_height: impl Fn(F) -> H + Sync,
 ) -> Result<[HorizonMap<A, H>; 2], ()> {
+    prof_span!("get_horizon_map");
     if maxh < minh {
         // maxh must be greater than minh
         return Err(());

world/src/sim2/mod.rs

@@ -1,3 +1,7 @@
 use crate::{sim::WorldSim, site::economy::simulate_economy, Index};
+use common_base::prof_span;
 
-pub fn simulate(index: &mut Index, _world: &mut WorldSim) { simulate_economy(index); }
+pub fn simulate(index: &mut Index, _world: &mut WorldSim) {
+    prof_span!("sim2::simulate");
+    simulate_economy(index);
+}

world/src/site/settlement/mod.rs

@@ -1347,15 +1347,19 @@ impl Land {
         &self,
         origin: Vec2<i32>,
         dest: Vec2<i32>,
-        mut path_cost_fn: impl FnMut(Option<&Tile>, Option<&Tile>) -> f32,
+        path_cost_fn: impl Fn(Option<&Tile>, Option<&Tile>) -> f32,
     ) -> Option<Path<Vec2<i32>>> {
         let heuristic = |pos: &Vec2<i32>, _: &Vec2<i32>| (pos - dest).map(|e| e as f32).magnitude();
+        let transition =
+            |from: Vec2<i32>, to: Vec2<i32>| path_cost_fn(self.tile_at(from), self.tile_at(to));
         let neighbors = |pos: &Vec2<i32>| {
             let pos = *pos;
-            CARDINALS.iter().map(move |dir| pos + *dir)
+            let transition = &transition;
+            CARDINALS.iter().map(move |dir| {
+                let to = pos + *dir;
+                (to, transition(pos, to))
+            })
         };
-        let transition =
-            |from: &Vec2<i32>, to: &Vec2<i32>| path_cost_fn(self.tile_at(*from), self.tile_at(*to));
         let satisfied = |pos: &Vec2<i32>| *pos == dest;
 
         // We use this hasher (FxHasher64) because
@@ -1363,8 +1367,9 @@ impl Land {
         // (2) we don't care about determinism across computers (we could use AAHash);
         // (3) we have 8-byte keys (for which FxHash is fastest).
         Astar::new(250, origin, BuildHasherDefault::<FxHasher64>::default())
-            .poll(250, heuristic, neighbors, transition, satisfied)
+            .poll(250, heuristic, neighbors, satisfied)
             .into_path()
+            .map(|(p, _c)| p)
     }
 
     /// We use this hasher (FxHasher64) because

world/src/site2/mod.rs

@@ -160,18 +160,23 @@ impl Site {
             }
             max_cost + (dir != old_dir) as i32 as f32 * 35.0
         };
-        let path = Astar::new(MAX_ITERS, (a, Vec2::zero()), DefaultHashBuilder::default())
+        let (path, _cost) = Astar::new(MAX_ITERS, (a, Vec2::zero()), DefaultHashBuilder::default())
             .poll(
                 MAX_ITERS,
                 &heuristic,
                 |(tile, _)| {
                     let tile = *tile;
-                    CARDINALS.iter().map(move |dir| (tile + *dir, *dir))
+                    let this = &self;
-                },
+                    CARDINALS.iter().map(move |dir| {
-                |(a, _), (b, _)| {
+                        let neighbor = (tile + *dir, *dir);
-                    let alt_a = land.get_alt_approx(self.tile_center_wpos(*a));
+
-                    let alt_b = land.get_alt_approx(self.tile_center_wpos(*b));
+                        // Transition cost
-                    (alt_a - alt_b).abs() / TILE_SIZE as f32
+                        let alt_a = land.get_alt_approx(this.tile_center_wpos(tile));
+                        let alt_b = land.get_alt_approx(this.tile_center_wpos(neighbor.0));
+                        let cost = (alt_a - alt_b).abs() / TILE_SIZE as f32;
+
+                        (neighbor, cost)
+                    })
                 },
                 |(tile, _)| *tile == b,
             )

world/src/site2/plot/dungeon.rs

@@ -545,31 +545,33 @@ impl Floor {
     fn create_route(&mut self, _ctx: &mut GenCtx<impl Rng>, a: Vec2<i32>, b: Vec2<i32>) {
         let heuristic =
             move |l: &Vec2<i32>, _: &Vec2<i32>| (l - b).map(|e| e.abs()).reduce_max() as f32;
-        let neighbors = |l: &Vec2<i32>| {
+        let transition = |_a: Vec2<i32>, b: Vec2<i32>| match self.tiles.get(b) {
-            let l = *l;
-            CARDINALS
-                .iter()
-                .map(move |dir| l + dir)
-                .filter(|pos| self.tiles.get(*pos).is_some())
-        };
-        let transition = |_a: &Vec2<i32>, b: &Vec2<i32>| match self.tiles.get(*b) {
             Some(Tile::Room(_)) | Some(Tile::Tunnel) => 1.0,
             Some(Tile::Solid) => 25.0,
             Some(Tile::UpStair(_, _)) | Some(Tile::DownStair(_)) => 0.0,
             _ => 100000.0,
         };
+        let neighbors = |l: &Vec2<i32>| {
+            let l = *l;
+            CARDINALS
+                .iter()
+                .map(move |dir| {
+                    let dest = l + dir;
+                    (dest, transition(l, dest))
+                })
+                .filter(|&(pos, _)| self.tiles.get(pos).is_some())
+        };
         let satisfied = |l: &Vec2<i32>| *l == b;
         // We use this hasher (FxHasher64) because
         // (1) we don't care about DDOS attacks (ruling out SipHash);
         // (2) we don't care about determinism across computers (we could use AAHash);
         // (3) we have 8-byte keys (for which FxHash is fastest).
         let mut astar = Astar::new(20000, a, BuildHasherDefault::<FxHasher64>::default());
-        let path = astar
+        let (path, _cost) = astar
             .poll(
                 FLOOR_SIZE.product() as usize + 1,
                 heuristic,
                 neighbors,
-                transition,
                 satisfied,
             )
             .into_path()

world/src/util/mod.rs

@@ -23,13 +23,13 @@ pub use self::{
 
 pub use common::grid::Grid;
 
-use fxhash::FxHasher32;
+use fxhash::{FxHasher32, FxHasher64};
 use hashbrown::{HashMap, HashSet};
 use std::hash::BuildHasherDefault;
 use vek::*;
 
 // Deterministic HashMap and HashSet
-pub type DHashMap<K, V> = HashMap<K, V, BuildHasherDefault<FxHasher32>>;
+pub type DHashMap<K, V> = HashMap<K, V, BuildHasherDefault<FxHasher64>>;
 pub type DHashSet<T> = HashSet<T, BuildHasherDefault<FxHasher32>>;
 
 pub fn attempt<T>(max_iters: usize, mut f: impl FnMut() -> Option<T>) -> Option<T> {

world/src/util/structure.rs

@@ -1,5 +1,4 @@
 use super::{RandomField, Sampler};
-use rayon::prelude::*;
 use vek::*;
 
 #[derive(Clone)]
@@ -69,11 +68,7 @@ impl StructureGen2d {
 
     /// Note: Generates all possible closest samples for elements in the range
     /// of min to max, *exclusive.*
-    pub fn par_iter(
+    pub fn iter(&self, min: Vec2<i32>, max: Vec2<i32>) -> impl Iterator<Item = StructureField> {
-        &self,
-        min: Vec2<i32>,
-        max: Vec2<i32>,
-    ) -> impl ParallelIterator<Item = StructureField> {
         let freq = self.freq;
         let spread = self.spread;
         let spread_mul = Self::spread_mul(spread);
@@ -102,7 +97,7 @@ impl StructureGen2d {
         let x_field = self.x_field;
         let y_field = self.y_field;
         let seed_field = self.seed_field;
-        (0..len).into_par_iter().map(move |xy| {
+        (0..len).map(move |xy| {
             let index = min_index + Vec2::new((xy % xlen as u64) as i32, (xy / xlen as u64) as i32);
             Self::index_to_sample_internal(
                 freq,