use crate::{Map, Rect, TileType}; use std::cmp::{max, min}; use std::collections::HashMap; pub fn apply_room_to_map(map: &mut Map, room: &Rect) { for y in room.y1 + 1..=room.y2 { for x in room.x1 + 1..=room.x2 { let idx = map.xy_idx(x, y); map.tiles[idx] = TileType::Floor; } } } pub fn apply_horizontal_tunnel(map: &mut Map, x1: i32, x2: i32, y: i32) { for x in min(x1, x2)..=max(x1, x2) { let idx = map.xy_idx(x, y); if idx > 0 && idx < map.width as usize * map.height as usize { map.tiles[idx as usize] = TileType::Floor; } } } pub fn apply_vertical_tunnel(map: &mut Map, y1: i32, y2: i32, x: i32) { for y in min(y1, y2)..=max(y1, y2) { let idx = map.xy_idx(x, y); if idx > 0 && idx < map.width as usize * map.height as usize { map.tiles[idx as usize] = TileType::Floor; } } } /// Searches a map, removes unreachable areas and returns the most distant tile. pub fn remove_unreachable_areas_returning_most_distant(map: &mut Map, start_idx: usize) -> usize { map.populate_blocked(); let map_starts: Vec = vec![start_idx]; let dijkstra_map = rltk::DijkstraMap::new( map.width as usize, map.height as usize, &map_starts, map, 200.0, ); let mut exit_tile = (0, 0.0f32); for (i, tile) in map.tiles.iter_mut().enumerate() { if *tile == TileType::Floor { let distance_to_start = dijkstra_map.map[i]; // We can't get to this tile - so we'll make it a wall if distance_to_start == std::f32::MAX { *tile = TileType::Wall; } else { // If it is further away than our current exit candidate, move the exit if distance_to_start > exit_tile.1 { exit_tile.0 = i; exit_tile.1 = distance_to_start; } } } } exit_tile.0 } /// Generates a Voronoi/cellular noise map of a region, and divides it into spawn regions. #[allow(clippy::map_entry)] pub fn generate_voronoi_spawn_regions( map: &Map, rng: &mut rltk::RandomNumberGenerator, ) -> HashMap> { let mut noise_areas: HashMap> = HashMap::new(); let mut noise = rltk::FastNoise::seeded(rng.roll_dice(1, 65536) as u64); noise.set_noise_type(rltk::NoiseType::Cellular); noise.set_frequency(0.08); noise.set_cellular_distance_function(rltk::CellularDistanceFunction::Manhattan); for y in 1..map.height - 1 { for x in 1..map.width - 1 { let idx = map.xy_idx(x, y); if map.tiles[idx] == TileType::Floor { let cell_value_f = noise.get_noise(x as f32, y as f32) * 10240.0; let cell_value = cell_value_f as i32; if noise_areas.contains_key(&cell_value) { noise_areas.get_mut(&cell_value).unwrap().push(idx); } else { noise_areas.insert(cell_value, vec![idx]); } } } } noise_areas }