mod econ; use std::{ ops::Range, hash::Hash, fmt, }; use hashbrown::{HashMap, HashSet}; use vek::*; use rand::prelude::*; use rand_chacha::ChaChaRng; use common::{ terrain::TerrainChunkSize, vol::RectVolSize, store::{Id, Store}, path::Path, astar::Astar, spiral::Spiral2d, }; use crate::{ sim::{WorldSim, SimChunk}, site::{Site as WorldSite, Settlement}, util::seed_expan, }; const CARDINALS: [Vec2; 4] = [ Vec2::new(1, 0), Vec2::new(-1, 0), Vec2::new(0, 1), Vec2::new(0, -1), ]; const DIAGONALS: [Vec2; 8] = [ Vec2::new(1, 0), Vec2::new(1, 1), Vec2::new(-1, 0), Vec2::new(-1, 1), Vec2::new(0, 1), Vec2::new(1, -1), Vec2::new(0, -1), Vec2::new(-1, -1), ]; fn attempt(max_iters: usize, mut f: impl FnMut() -> Option) -> Option { (0..max_iters).find_map(|_| f()) } const INITIAL_CIV_COUNT: usize = 32; #[derive(Default)] pub struct Civs { civs: Store, places: Store, tracks: Store, track_map: HashMap, HashMap, Id>>, sites: Store, } pub struct GenCtx<'a, R: Rng> { sim: &'a mut WorldSim, rng: &'a mut R, } impl Civs { pub fn generate(seed: u32, sim: &mut WorldSim) -> Self { let mut this = Self::default(); let mut rng = ChaChaRng::from_seed(seed_expan::rng_state(seed)); let mut ctx = GenCtx { sim, rng: &mut rng }; for _ in 0..INITIAL_CIV_COUNT { println!("Creating civilisation..."); if let None = this.birth_civ(&mut ctx) { println!("Failed to find starting site for civilisation."); } } // Tick const SIM_YEARS: usize = 1000; for _ in 0..SIM_YEARS { this.tick(&mut ctx, 1.0); } // Temporary! for track in this.tracks.iter() { for loc in track.path.iter() { ctx.sim.get_mut(*loc).unwrap().place = Some(this.civs.iter().next().unwrap().homeland); } } // Flatten ground around sites for site in this.sites.iter() { let radius = 48i32; let wpos = site.center * Vec2::from(TerrainChunkSize::RECT_SIZE).map(|e: u32| e as i32); // Flatten ground let flatten_radius = 10.0; if let Some(center_alt) = ctx.sim.get_alt_approx(wpos) { for offs in Spiral2d::new().take(radius.pow(2) as usize) { let center_alt = center_alt + if offs.magnitude_squared() <= 6i32.pow(2) { 16.0 } else { 0.0 }; // Raise the town centre up a little let pos = site.center + offs; let factor = (1.0 - (site.center - pos).map(|e| e as f32).magnitude() / flatten_radius) * 1.15; ctx.sim .get_mut(pos) // Don't disrupt chunks that are near water .filter(|chunk| !chunk.river.near_water()) .map(|chunk| { let diff = Lerp::lerp_precise(chunk.alt, center_alt, factor) - chunk.alt; chunk.alt += diff; chunk.basement += diff; chunk.rockiness = 0.0; }); } } } // Place sites in world for site in this.sites.iter() { let radius = 48i32; let wpos = site.center * Vec2::from(TerrainChunkSize::RECT_SIZE).map(|e: u32| e as i32); let settlement = WorldSite::from(Settlement::generate(wpos, Some(ctx.sim), ctx.rng)); for pos in Spiral2d::new().map(|offs| site.center + offs).take(radius.pow(2) as usize) { ctx.sim .get_mut(pos) .map(|chunk| chunk.sites.push(settlement.clone())); } println!("Placed site at {:?}", site.center); } this.display_info(); this } pub fn place(&self, id: Id) -> &Place { self.places.get(id) } pub fn sites(&self) -> impl Iterator + '_ { self.sites.iter() } fn display_info(&self) { for (id, civ) in self.civs.iter_ids() { println!("# Civilisation {:?}", id); println!("Name: {}", ""); println!("Homeland: {:#?}", self.places.get(civ.homeland)); } for (id, site) in self.sites.iter_ids() { println!("# Site {:?}", id); println!("{:#?}", site); } } /// Return the direct track between two places fn track_between(&self, a: Id, b: Id) -> Option> { self.track_map .get(&a) .and_then(|dests| dests.get(&b)) .or_else(|| self.track_map .get(&b) .and_then(|dests| dests.get(&a))) .copied() } /// Return an iterator over a site's neighbors fn neighbors(&self, site: Id) -> impl Iterator> + '_ { let to = self.track_map.get(&site).map(|dests| dests.keys()).into_iter().flatten(); let fro = self.track_map.iter().filter(move |(_, dests)| dests.contains_key(&site)).map(|(p, _)| p); to.chain(fro).filter(move |p| **p != site).copied() } /// Find the cheapest route between two places fn route_between(&self, a: Id, b: Id) -> Option<(Path>, f32)> { let heuristic = move |p: &Id| (self.sites.get(*p).center.distance_squared(self.sites.get(b).center) as f32).sqrt(); let neighbors = |p: &Id| self.neighbors(*p); let transition = |a: &Id, b: &Id| self.tracks.get(self.track_between(*a, *b).unwrap()).cost; let satisfied = |p: &Id| *p == b; let mut astar = Astar::new(100, a, heuristic); astar .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) -> Option> { let site = attempt(5, || { let loc = find_site_loc(ctx, None)?; self.establish_site(ctx, loc) })?; let civ = self.civs.insert(Civ { capital: site, homeland: self.sites.get(site).place, }); Some(civ) } fn establish_place(&mut self, ctx: &mut GenCtx, loc: Vec2, area: Range) -> Option> { let mut dead = HashSet::new(); let mut alive = HashSet::new(); alive.insert(loc); // Fill the surrounding area while let Some(cloc) = alive.iter().choose(ctx.rng).copied() { for dir in CARDINALS.iter() { if site_in_dir(&ctx.sim, cloc, *dir) { let rloc = cloc + *dir; if !dead.contains(&rloc) && ctx.sim.get(rloc).map(|c| c.place.is_none()).unwrap_or(false) { alive.insert(rloc); } } } alive.remove(&cloc); dead.insert(cloc); if dead.len() + alive.len() >= area.end { break; } } // Make sure the place is large enough if dead.len() + alive.len() <= area.start { return None; } let place = self.places.insert(Place { center: loc, nat_res: NaturalResources::default(), }); // Write place to map for cell in dead.union(&alive) { if let Some(chunk) = ctx.sim.get_mut(*cell) { chunk.place = Some(place); self.places.get_mut(place).nat_res.include_chunk(ctx, *cell); } } Some(place) } fn establish_site(&mut self, ctx: &mut GenCtx, loc: Vec2) -> Option> { const SITE_AREA: Range = 64..256; let place = match ctx.sim.get(loc).and_then(|site| site.place) { Some(place) => place, None => self.establish_place(ctx, loc, SITE_AREA)?, }; let site = self.sites.insert(Site { kind: SiteKind::Settlement, center: loc, place: place, population: 24.0, stocks: Stocks::from_default(100.0), surplus: Stocks::from_default(0.0), values: Stocks::from_default(None), labors: MapVec::from_default(0.01), yields: MapVec::from_default(1.0), productivity: MapVec::from_default(1.0), last_exports: Stocks::from_default(0.0), export_targets: Stocks::from_default(0.0), trade_states: Stocks::default(), coin: 1000.0, }); // Find neighbors const MAX_NEIGHBOR_DISTANCE: f32 = 250.0; let mut nearby = self.sites .iter_ids() .map(|(id, p)| (id, (p.center.distance_squared(loc) as f32).sqrt())) .filter(|(p, dist)| *dist < MAX_NEIGHBOR_DISTANCE) .collect::>(); nearby.sort_by_key(|(_, dist)| *dist as i32); for (nearby, _) in nearby.into_iter().take(5) { // Find a novel path if let Some((path, cost)) = find_path(ctx, loc, 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 .filter(|(_, route_cost)| *route_cost < cost * 3.0) .is_none() { let track = self.tracks.insert(Track { cost, path, }); self.track_map .entry(site) .or_default() .insert(nearby, track); } } } Some(site) } fn tick(&mut self, ctx: &mut GenCtx, years: f32) { println!("Tick!"); for site in self.sites.iter_mut() { site.simulate(years, &self.places.get(site.place).nat_res); } // Trade stocks // let mut stocks = TRADE_STOCKS; // stocks.shuffle(ctx.rng); // Give each stock a chance to be traded first // for stock in stocks.iter().copied() { // let mut sell_orders = self.sites // .iter_ids() // .map(|(id, site)| (id, { // econ::SellOrder { // quantity: site.export_targets[stock].max(0.0).min(site.stocks[stock]), // price: site.trade_states[stock].sell_belief.choose_price(ctx) * 1.25, // Trade cost // q_sold: 0.0, // } // })) // .filter(|(_, order)| order.quantity > 0.0) // .collect::>(); // let mut sites = self.sites // .ids() // .collect::>(); // sites.shuffle(ctx.rng); // Give all sites a chance to buy first // for site in sites { // let (max_spend, max_price, max_import) = { // let site = self.sites.get(site); // let budget = site.coin * 0.5; // let total_value = site.values.iter().map(|(_, v)| (*v).unwrap_or(0.0)).sum::(); // ( // 100000.0,//(site.values[stock].unwrap_or(0.1) / total_value * budget).min(budget), // site.trade_states[stock].buy_belief.price, // -site.export_targets[stock].min(0.0), // ) // }; // let (quantity, spent) = econ::buy_units(ctx, sell_orders // .iter_mut() // .filter(|(id, _)| site != *id && self.track_between(site, *id).is_some()) // .map(|(_, order)| order), // max_import, // 1000000.0, // Max price TODO // max_spend, // ); // let mut site = self.sites.get_mut(site); // site.coin -= spent; // if quantity > 0.0 { // site.stocks[stock] += quantity; // site.last_exports[stock] = -quantity; // site.trade_states[stock].buy_belief.update_buyer(years, spent / quantity); // println!("Belief: {:?}", site.trade_states[stock].buy_belief); // } // } // for (site, order) in sell_orders { // let mut site = self.sites.get_mut(site); // site.coin += order.q_sold * order.price; // if order.q_sold > 0.0 { // site.stocks[stock] -= order.q_sold; // site.last_exports[stock] = order.q_sold; // site.trade_states[stock].sell_belief.update_seller(order.q_sold / order.quantity); // } // } // } } } /// Attempt to find a path between two locations fn find_path(ctx: &mut GenCtx, a: Vec2, b: Vec2) -> Option<(Path>, f32)> { let sim = &ctx.sim; let heuristic = move |l: &Vec2| (l.distance_squared(b) as f32).sqrt(); let neighbors = |l: &Vec2| { let l = *l; DIAGONALS.iter().filter(move |dir| walk_in_dir(sim, l, **dir).is_some()).map(move |dir| l + *dir) }; let transition = |a: &Vec2, b: &Vec2| 1.0 + walk_in_dir(sim, *a, *b - *a).unwrap_or(10000.0); let satisfied = |l: &Vec2| *l == b; let mut astar = Astar::new(20000, a, heuristic); astar .poll(20000, heuristic, neighbors, transition, satisfied) .into_path() .and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost))) } /// Return true if travel between a location and a chunk next to it is permitted (TODO: by whom?) fn walk_in_dir(sim: &WorldSim, a: Vec2, dir: Vec2) -> Option { if loc_suitable_for_walking(sim, a) && loc_suitable_for_walking(sim, a + dir) { let a_alt = sim.get(a)?.alt; let b_alt = sim.get(a + dir)?.alt; Some((b_alt - a_alt).abs() / 2.5) } else { None } } /// Return true if a position is suitable for walking on fn loc_suitable_for_walking(sim: &WorldSim, loc: Vec2) -> bool { if let Some(chunk) = sim.get(loc) { !chunk.river.is_ocean() && !chunk.river.is_lake() } 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, dir: Vec2) -> bool { loc_suitable_for_site(sim, a) && loc_suitable_for_site(sim, a + dir) } /// Return true if a position is suitable for site construction (TODO: criteria?) fn loc_suitable_for_site(sim: &WorldSim, loc: Vec2) -> bool { if let Some(chunk) = sim.get(loc) { !chunk.river.is_ocean() && !chunk.river.is_lake() && sim.get_gradient_approx(loc).map(|grad| grad < 1.0).unwrap_or(false) } else { false } } /// Attempt to search for a location that's suitable for site construction fn find_site_loc(ctx: &mut GenCtx, near: Option<(Vec2, f32)>) -> Option> { const MAX_ATTEMPTS: usize = 100; let mut loc = None; for _ in 0..MAX_ATTEMPTS { let test_loc = loc.unwrap_or_else(|| match near { Some((origin, dist)) => origin + (Vec2::new( ctx.rng.gen_range(-1.0, 1.0), ctx.rng.gen_range(-1.0, 1.0), ).try_normalized().unwrap_or(Vec2::zero()) * ctx.rng.gen::() * dist).map(|e| e as i32), None => Vec2::new( ctx.rng.gen_range(0, ctx.sim.get_size().x as i32), ctx.rng.gen_range(0, ctx.sim.get_size().y as i32), ), }); if loc_suitable_for_site(&ctx.sim, test_loc) { return Some(test_loc); } loc = ctx.sim.get(test_loc).and_then(|c| Some(c.downhill?.map2(Vec2::from(TerrainChunkSize::RECT_SIZE), |e, sz: u32| { e / (sz as i32) }))); } None } #[derive(Debug)] pub struct Civ { capital: Id, homeland: Id, } #[derive(Debug)] pub struct Place { center: Vec2, nat_res: NaturalResources, } // Productive capacity per year #[derive(Default, Debug)] pub struct NaturalResources { wood: f32, rock: f32, river: f32, farmland: f32, } impl NaturalResources { fn include_chunk(&mut self, ctx: &mut GenCtx, loc: Vec2) { let chunk = if let Some(chunk) = ctx.sim.get(loc) { chunk } else { return }; self.wood += chunk.tree_density; self.rock += chunk.rockiness; self.river += if chunk.river.is_river() { 5.0 } else { 0.0 }; self.farmland += if chunk.humidity > 0.35 && chunk.temp > -0.3 && chunk.temp < 0.75 && chunk.chaos < 0.5 && ctx.sim.get_gradient_approx(loc).map(|grad| grad < 0.7).unwrap_or(false) { 1.0 } else { 0.0 }; } } pub struct Track { /// Cost of using this track relative to other paths. This cost is an arbitrary unit and /// doesn't make sense unless compared to other track costs. cost: f32, path: Path>, } #[derive(Debug)] pub struct Site { kind: SiteKind, center: Vec2, pub place: Id, population: f32, // Total amount of each stock stocks: Stocks, // Surplus stock compared to demand orders surplus: Stocks, // For some goods, such a goods without any supply, it doesn't make sense to talk about value values: Stocks>, // Proportion of individuals dedicated to an industry labors: MapVec, // Per worker, per year, of their output good yields: MapVec, productivity: MapVec, last_exports: Stocks, export_targets: Stocks, trade_states: Stocks, coin: f32, } impl fmt::Display for Site { fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { match self.kind { SiteKind::Settlement => writeln!(f, "Settlement")?, } writeln!(f, "- population: {}", self.population.floor() as u32)?; writeln!(f, "- coin: {}", self.coin.floor() as u32)?; writeln!(f, "Stocks")?; for (stock, q) in self.stocks.iter() { writeln!(f, "- {}: {}", stock, q.floor())?; } writeln!(f, "Values")?; for stock in TRADE_STOCKS.iter() { writeln!(f, "- {}: {}", stock, self.values[*stock].map(|x| x.to_string()).unwrap_or_else(|| "N/A".to_string()))?; } writeln!(f, "Laborers")?; for (labor, n) in self.labors.iter() { writeln!(f, "- {}: {}", labor, (*n * self.population).floor() as u32)?; } writeln!(f, "Export targets")?; for (stock, n) in self.export_targets.iter() { writeln!(f, "- {}: {}", stock, n)?; } Ok(()) } } #[derive(Debug)] pub enum SiteKind { Settlement, } impl Site { pub fn simulate(&mut self, years: f32, nat_res: &NaturalResources) { // Insert natural resources into the economy if self.stocks[FISH] < nat_res.river { self.stocks[FISH] = nat_res.river; } if self.stocks[WHEAT] < nat_res.farmland { self.stocks[WHEAT] = nat_res.farmland; } if self.stocks[LOGS] < nat_res.wood { self.stocks[LOGS] = nat_res.wood; } if self.stocks[GAME] < nat_res.wood { self.stocks[GAME] = nat_res.wood; } if self.stocks[ROCK] < nat_res.rock { self.stocks[ROCK] = nat_res.rock; } let orders = vec![ (None, vec![(FOOD, 0.5)]), (Some(COOK), vec![(FLOUR, 16.0), (MEAT, 4.0), (WOOD, 3.0)]), (Some(LUMBERJACK), vec![(LOGS, 4.5)]), (Some(MINER), vec![(ROCK, 7.5)]), (Some(FISHER), vec![(FISH, 4.0)]), (Some(HUNTER), vec![(GAME, 4.0)]), (Some(FARMER), vec![(WHEAT, 4.0)]), ] .into_iter() .collect::>>(); // Per labourer, per year let production = Stocks::from_list(&[ (FARMER, (FLOUR, 2.0)), (LUMBERJACK, (WOOD, 1.5)), (MINER, (STONE, 0.6)), (FISHER, (MEAT, 3.0)), (HUNTER, (MEAT, 0.25)), (COOK, (FOOD, 20.0)), ]); let mut demand = Stocks::from_default(0.0); for (labor, orders) in &orders { let scale = if let Some(labor) = labor { self.labors[*labor] } else { 1.0 } * self.population; for (stock, amount) in orders { demand[*stock] += *amount * scale; } } let mut supply = Stocks::from_default(0.0); for (labor, (output_stock, _)) in production.iter() { supply[*output_stock] += self.yields[labor] * self.labors[labor] * self.population; } let last_exports = &self.last_exports; let stocks = &self.stocks; self.surplus = demand.clone().map(|stock, tgt| { supply[stock] + stocks[stock] - demand[stock] - last_exports[stock] }); // Update values according to the surplus of each stock let values = &mut self.values; self.surplus.iter().for_each(|(stock, surplus)| { let val = 3.5f32.powf(1.0 - *surplus / demand[stock]); values[stock] = if val > 0.001 && val < 1000.0 { Some(val) } else { None }; }); // Update export targets based on relative values let value_avg = values.iter().map(|(_, v)| (*v).unwrap_or(0.0)).sum::().max(0.01) / values.iter().filter(|(_, v)| v.is_some()).count() as f32; let export_targets = &mut self.export_targets; let last_exports = &self.last_exports; let trade_states = &self.trade_states; self.values.iter().for_each(|(stock, value)| { let rvalue = (*value).map(|v| v - value_avg).unwrap_or(0.0); //let factor = if export_targets[stock] > 0.0 { 1.0 / rvalue } else { rvalue }; export_targets[stock] = last_exports[stock] - rvalue * 0.1;// + (trade_states[stock].sell_belief.price - trade_states[stock].buy_belief.price) * 0.025; }); let population = self.population; // Redistribute workforce according to relative good values let labor_ratios = production.clone().map(|labor, (output_stock, _)| { self.productivity[labor] * demand[output_stock] / supply[output_stock].max(0.001) }); let labor_ratio_sum = labor_ratios.iter().map(|(_, r)| *r).sum::().max(0.01); production.iter().for_each(|(labor, _)| { let smooth = 0.8; self.labors[labor] = smooth * self.labors[labor] + (1.0 - smooth) * (labor_ratios[labor].max(labor_ratio_sum / 1000.0) / labor_ratio_sum); }); // Production let stocks_before = self.stocks.clone(); for (labor, orders) in orders.iter() { let scale = if let Some(labor) = labor { self.labors[*labor] } else { 1.0 } * population; // For each order, we try to find the minimum satisfaction rate - this limits how much // we can produce! For example, if we need 0.25 fish and 0.75 oats to make 1 unit of // food, but only 0.5 units of oats are available then we only need to consume 2/3rds // of other ingredients and leave the rest in stock // In effect, this is the productivity let productivity = orders .iter() .map(|(stock, amount)| { // What quantity is this order requesting? let quantity = *amount * scale; // What proportion of this order is the economy able to satisfy? let satisfaction = (stocks_before[*stock] / demand[*stock]).min(1.0); satisfaction }) .min_by(|a, b| a.partial_cmp(b).unwrap()) .unwrap_or_else(|| panic!("Industry {:?} requires at least one input order", labor)); for (stock, amount) in orders { // What quantity is this order requesting? let quantity = *amount * scale; // What amount gets actually used in production? let used = quantity * productivity; // Deplete stocks accordingly self.stocks[*stock] = (self.stocks[*stock] - used).max(0.0); } // Industries produce things if let Some(labor) = labor { let (stock, rate) = production[*labor]; let workers = self.labors[*labor] * population; let final_rate = rate; let yield_per_worker = productivity * final_rate; self.yields[*labor] = yield_per_worker; self.productivity[*labor] = productivity; self.stocks[stock] += yield_per_worker * workers.powf(1.1); } } // Denature stocks self.stocks.iter_mut().for_each(|(_, v)| *v *= 0.9); // Births/deaths const NATURAL_BIRTH_RATE: f32 = 0.15; const DEATH_RATE: f32 = 0.05; let birth_rate = if self.surplus[FOOD] > 0.0 { NATURAL_BIRTH_RATE } else { 0.0 }; self.population += years * self.population * (birth_rate - DEATH_RATE); } } type Occupation = &'static str; const FARMER: Occupation = "farmer"; const LUMBERJACK: Occupation = "lumberjack"; const MINER: Occupation = "miner"; const FISHER: Occupation = "fisher"; const HUNTER: Occupation = "hunter"; const COOK: Occupation = "cook"; type Stock = &'static str; const WHEAT: Stock = "wheat"; const FLOUR: Stock = "flour"; const MEAT: Stock = "meat"; const FISH: Stock = "fish"; const GAME: Stock = "game"; const FOOD: Stock = "food"; const LOGS: Stock = "logs"; const WOOD: Stock = "wood"; const ROCK: Stock = "rock"; const STONE: Stock = "stone"; const TRADE_STOCKS: [Stock; 5] = [ FLOUR, MEAT, FOOD, WOOD, STONE, ]; #[derive(Debug, Clone)] struct TradeState { buy_belief: econ::Belief, sell_belief: econ::Belief, } impl Default for TradeState { fn default() -> Self { Self { buy_belief: econ::Belief { price: 1.0, confidence: 0.25, }, sell_belief: econ::Belief { price: 1.0, confidence: 0.25, }, } } } pub type Stocks = MapVec; #[derive(Default, Clone, Debug)] pub struct MapVec { entries: HashMap, default: T, } impl MapVec { pub fn from_list<'a>(i: impl IntoIterator) -> Self where K: 'a, T: 'a { Self { entries: i.into_iter().cloned().collect(), default: T::default(), } } pub fn from_default(default: T) -> Self { Self { entries: HashMap::default(), default, } } pub fn get_mut(&mut self, entry: K) -> &mut T { let default = &self.default; self .entries .entry(entry) .or_insert_with(|| default.clone()) } pub fn get(&self, entry: K) -> &T { self.entries.get(&entry).unwrap_or(&self.default) } pub fn map(mut self, mut f: impl FnMut(K, T) -> U) -> MapVec { MapVec { entries: self.entries.into_iter().map(|(s, v)| (s.clone(), f(s, v))).collect(), default: U::default(), } } pub fn iter(&self) -> impl Iterator + '_ { self.entries.iter().map(|(s, v)| (*s, v)) } pub fn iter_mut(&mut self) -> impl Iterator + '_ { self.entries.iter_mut().map(|(s, v)| (*s, v)) } } impl std::ops::Index for MapVec { type Output = T; fn index(&self, entry: K) -> &Self::Output { self.get(entry) } } impl std::ops::IndexMut for MapVec { fn index_mut(&mut self, entry: K) -> &mut Self::Output { self.get_mut(entry) } }