Complete section 4.10

This commit is contained in:
Timothy Warren 2021-12-07 14:55:39 -05:00
parent 616f75f6a5
commit 5c78512002
2 changed files with 192 additions and 1 deletions

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@ -6,6 +6,7 @@ mod dla;
mod drunkard;
mod maze;
mod simple_map;
mod voronoi;
use crate::{Map, Position};
use bsp_dungeon::BspDungeonBuilder;
@ -17,6 +18,7 @@ use drunkard::DrunkardsWalkBuilder;
use maze::MazeBuilder;
use simple_map::SimpleMapBuilder;
use specs::prelude::*;
use voronoi::VoronoiCellBuilder;
pub trait MapBuilder {
fn build_map(&mut self);
@ -29,7 +31,7 @@ pub trait MapBuilder {
pub fn random_builder(new_depth: i32) -> Box<dyn MapBuilder> {
let mut rng = rltk::RandomNumberGenerator::new();
match rng.roll_dice(1, 14) {
match rng.roll_dice(1, 16) {
1 => Box::new(BspDungeonBuilder::new(new_depth)),
2 => Box::new(BspInteriorBuilder::new(new_depth)),
3 => Box::new(CellularAutomataBuilder::new(new_depth)),
@ -43,6 +45,8 @@ pub fn random_builder(new_depth: i32) -> Box<dyn MapBuilder> {
11 => Box::new(DLABuilder::walk_outwards(new_depth)),
12 => Box::new(DLABuilder::central_attractor(new_depth)),
13 => Box::new(DLABuilder::insectoid(new_depth)),
14 => Box::new(VoronoiCellBuilder::pythagoras(new_depth)),
15 => Box::new(VoronoiCellBuilder::manhattan(new_depth)),
_ => Box::new(SimpleMapBuilder::new(new_depth)),
}
}

187
src/map_builders/voronoi.rs Normal file
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@ -0,0 +1,187 @@
use super::common::{
generate_voronoi_spawn_regions, remove_unreachable_areas_returning_most_distant,
};
use super::MapBuilder;
use crate::{components::Position, spawner, Map, TileType, SHOW_MAPGEN_VISUALIZER};
use rltk::RandomNumberGenerator;
use specs::prelude::*;
use std::collections::HashMap;
#[derive(PartialEq, Copy, Clone)]
#[allow(dead_code)]
pub enum DistanceAlgorithm {
Pythagoras,
Manhattan,
Chebyshev,
}
pub struct VoronoiCellBuilder {
map: Map,
starting_position: Position,
depth: i32,
history: Vec<Map>,
noise_areas: HashMap<i32, Vec<usize>>,
n_seeds: usize,
distance_algorithm: DistanceAlgorithm,
}
impl MapBuilder for VoronoiCellBuilder {
fn build_map(&mut self) {
self.build();
}
fn spawn_entities(&mut self, ecs: &mut World) {
for area in self.noise_areas.iter() {
spawner::spawn_region(ecs, area.1, self.depth);
}
}
fn get_map(&self) -> Map {
self.map.clone()
}
fn get_starting_position(&self) -> Position {
self.starting_position
}
fn get_snapshot_history(&self) -> Vec<Map> {
self.history.clone()
}
fn take_snapshot(&mut self) {
if SHOW_MAPGEN_VISUALIZER {
let mut snapshot = self.map.clone();
for v in snapshot.revealed_tiles.iter_mut() {
*v = true;
}
self.history.push(snapshot);
}
}
}
impl VoronoiCellBuilder {
pub fn new(new_depth: i32) -> VoronoiCellBuilder {
VoronoiCellBuilder {
map: Map::new(new_depth),
starting_position: Position::default(),
depth: new_depth,
history: Vec::new(),
noise_areas: HashMap::new(),
n_seeds: 64,
distance_algorithm: DistanceAlgorithm::Pythagoras,
}
}
pub fn pythagoras(new_depth: i32) -> VoronoiCellBuilder {
VoronoiCellBuilder::new(new_depth)
}
pub fn manhattan(new_depth: i32) -> VoronoiCellBuilder {
VoronoiCellBuilder {
distance_algorithm: DistanceAlgorithm::Manhattan,
..VoronoiCellBuilder::new(new_depth)
}
}
#[allow(clippy::map_entry)]
fn build(&mut self) {
let mut rng = RandomNumberGenerator::new();
// Make a Voronoi diagram. We'll do this the hard way to learn about the technique!
let mut voronoi_seeds: Vec<(usize, rltk::Point)> = Vec::new();
while voronoi_seeds.len() < self.n_seeds {
let vx = rng.roll_dice(1, self.map.width - 1);
let vy = rng.roll_dice(1, self.map.height - 1);
let vidx = self.map.xy_idx(vx, vy);
let candidate = (vidx, rltk::Point::new(vx, vy));
if !voronoi_seeds.contains(&candidate) {
voronoi_seeds.push(candidate);
}
}
let mut voronoi_distance = vec![(0, 0.0f32); self.n_seeds];
let mut voronoi_membership: Vec<i32> =
vec![0; self.map.width as usize * self.map.height as usize];
for (i, vid) in voronoi_membership.iter_mut().enumerate() {
let x = i as i32 % self.map.width;
let y = i as i32 / self.map.width;
for (seed, pos) in voronoi_seeds.iter().enumerate() {
let distance;
match self.distance_algorithm {
DistanceAlgorithm::Pythagoras => {
distance = rltk::DistanceAlg::PythagorasSquared
.distance2d(rltk::Point::new(x, y), pos.1);
}
DistanceAlgorithm::Manhattan => {
distance =
rltk::DistanceAlg::Manhattan.distance2d(rltk::Point::new(x, y), pos.1);
}
DistanceAlgorithm::Chebyshev => {
distance =
rltk::DistanceAlg::Chebyshev.distance2d(rltk::Point::new(x, y), pos.1);
}
}
voronoi_distance[seed] = (seed, distance);
}
voronoi_distance.sort_by(|a, b| a.1.partial_cmp(&b.1).unwrap());
*vid = voronoi_distance[0].0 as i32;
}
for y in 1..self.map.height - 1 {
for x in 1..self.map.width - 1 {
let mut neighbors = 0;
let my_idx = self.map.xy_idx(x, y);
let my_seed = voronoi_membership[my_idx];
if voronoi_membership[self.map.xy_idx(x - 1, y)] != my_seed {
neighbors += 1;
}
if voronoi_membership[self.map.xy_idx(x + 1, y)] != my_seed {
neighbors += 1;
}
if voronoi_membership[self.map.xy_idx(x, y - 1)] != my_seed {
neighbors += 1;
}
if voronoi_membership[self.map.xy_idx(x, y + 1)] != my_seed {
neighbors += 1;
}
if neighbors < 2 {
self.map.tiles[my_idx] = TileType::Floor;
}
}
self.take_snapshot();
}
// Find a starting point; start at the middle and walk left until we find an open tile
self.starting_position = Position {
x: self.map.width / 2,
y: self.map.height / 2,
};
let mut start_idx = self
.map
.xy_idx(self.starting_position.x, self.starting_position.y);
while self.map.tiles[start_idx] != TileType::Floor {
self.starting_position.x -= 1;
start_idx = self
.map
.xy_idx(self.starting_position.x, self.starting_position.y);
}
self.take_snapshot();
// Find all tiles we can reach from the starting point
let exit_tile = remove_unreachable_areas_returning_most_distant(&mut self.map, start_idx);
self.take_snapshot();
// Place the stairs
self.map.tiles[exit_tile] = TileType::DownStairs;
self.take_snapshot();
// Now we build a noise map for use in spawning entities later
self.noise_areas = generate_voronoi_spawn_regions(&self.map, &mut rng);
}
}