veloren/world/src/civ/mod.rs

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mod econ;
use std::{
ops::Range,
hash::Hash,
fmt,
};
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use hashbrown::{HashMap, HashSet};
use vek::*;
use rand::prelude::*;
use common::{
terrain::TerrainChunkSize,
vol::RectVolSize,
store::{Id, Store},
path::Path,
astar::Astar,
};
use crate::sim::{WorldSim, SimChunk};
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const CARDINALS: [Vec2<i32>; 4] = [
Vec2::new(1, 0),
Vec2::new(-1, 0),
Vec2::new(0, 1),
Vec2::new(0, -1),
];
const DIAGONALS: [Vec2<i32>; 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<T>(max_iters: usize, mut f: impl FnMut() -> Option<T>) -> Option<T> {
(0..max_iters).find_map(|_| f())
}
const INITIAL_CIV_COUNT: usize = 16;
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#[derive(Default)]
pub struct Civs {
civs: Store<Civ>,
places: Store<Place>,
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tracks: Store<Track>,
track_map: HashMap<Id<Site>, HashMap<Id<Site>, Id<Track>>>,
sites: Store<Site>,
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}
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pub struct GenCtx<'a, R: Rng> {
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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 = sim.rng.clone();
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.");
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}
}
// Tick
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const SIM_YEARS: usize = 1000;
for _ in 0..SIM_YEARS {
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this.tick(&mut ctx, 1.0);
}
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// Temporary!
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for track in this.tracks.iter() {
for loc in track.path.iter() {
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sim.get_mut(*loc).unwrap().place = Some(this.civs.iter().next().unwrap().homeland);
}
}
this.display_info();
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this
}
pub fn place(&self, id: Id<Place>) -> &Place { self.places.get(id) }
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pub fn sites(&self) -> impl Iterator<Item=&Site> + '_ {
self.sites.iter()
}
fn display_info(&self) {
for (id, civ) in self.civs.iter_ids() {
println!("# Civilisation {:?}", id);
println!("Name: {}", "<unnamed>");
println!("Homeland: {:#?}", self.places.get(civ.homeland));
}
for (id, site) in self.sites.iter_ids() {
println!("# Site {:?}", id);
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println!("{:#?}", site);
}
}
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/// Return the direct track between two places
fn track_between(&self, a: Id<Site>, b: Id<Site>) -> Option<Id<Track>> {
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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<Site>) -> impl Iterator<Item=Id<Site>> + '_ {
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()
}
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/// Find the cheapest route between two places
fn route_between(&self, a: Id<Site>, b: Id<Site>) -> Option<(Path<Id<Site>>, f32)> {
let heuristic = move |p: &Id<Site>| (self.sites.get(*p).center.distance_squared(self.sites.get(b).center) as f32).sqrt();
let neighbors = |p: &Id<Site>| self.neighbors(*p);
let transition = |a: &Id<Site>, b: &Id<Site>| self.tracks.get(self.track_between(*a, *b).unwrap()).cost;
let satisfied = |p: &Id<Site>| *p == b;
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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)))
}
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fn birth_civ(&mut self, ctx: &mut GenCtx<impl Rng>) -> Option<Id<Civ>> {
let site = attempt(5, || {
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let loc = find_site_loc(ctx, None)?;
self.establish_site(ctx, loc)
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})?;
let civ = self.civs.insert(Civ {
capital: site,
homeland: self.sites.get(site).place,
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});
Some(civ)
}
fn establish_place(&mut self, ctx: &mut GenCtx<impl Rng>, loc: Vec2<i32>, area: Range<usize>) -> Option<Id<Place>> {
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;
}
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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<impl Rng>, loc: Vec2<i32>) -> Option<Id<Site>> {
const SITE_AREA: Range<usize> = 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),
values: Stocks::from_default(None),
labors: MapVec::from_default(0.01),
yields: MapVec::from_default(1.0),
//trade_states: Stocks::default(),
//coin: 1000.0,
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});
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// Find neighbors
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const MAX_NEIGHBOR_DISTANCE: f32 = 250.0;
let mut nearby = self.sites
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.iter_ids()
.map(|(id, p)| (id, (p.center.distance_squared(loc) as f32).sqrt()))
.filter(|(p, dist)| *dist < MAX_NEIGHBOR_DISTANCE)
.collect::<Vec<_>>();
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nearby.sort_by_key(|(_, dist)| *dist as i32);
for (nearby, _) in nearby.into_iter().take(5) {
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// Find a novel path
if let Some((path, cost)) = find_path(ctx, loc, self.sites.get(nearby).center) {
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// Find a path using existing paths
if self
.route_between(site, nearby)
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// 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)
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.or_default()
.insert(nearby, track);
}
}
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}
Some(site)
}
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fn tick(&mut self, ctx: &mut GenCtx<impl Rng>, years: f32) {
println!("Tick!");
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for site in self.sites.iter_mut() {
site.simulate(years, &self.places.get(site.place).nat_res);
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}
// Trade stocks
// let mut stocks = [FOOD, WOOD, ROCK];
// 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.trade_states[stock].surplus.min(site.stocks[stock]),
// price: site.trade_states[stock].sell_belief.choose_price(ctx) * 1.2, // Transport cost of 1.2x
// q_sold: 0.0,
// }))
// .filter(|(_, order)| order.quantity > 0.0)
// .collect::<Vec<_>>();
// let mut sites = self.sites
// .ids()
// .collect::<Vec<_>>();
// sites.shuffle(ctx.rng); // Give all sites a chance to buy first
// for site in sites {
// let (max_spend, max_price) = {
// let site = self.sites.get(site);
// let budget = site.coin * 0.5;
// (
// (site.trade_states[stock].purchase_priority * budget).min(budget),
// site.trade_states[stock].buy_belief.price,
// )
// };
// 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),
// 1000000.0, // Max quantity TODO
// 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.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.trade_states[stock].sell_belief.update_seller(order.q_sold / order.quantity);
// }
// }
// }
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// Consume stocks
//for site in self.sites.iter_mut() {
// site.consume_stocks(years);
//}
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}
}
/// Attempt to find a path between two locations
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fn find_path(ctx: &mut GenCtx<impl Rng>, a: Vec2<i32>, b: Vec2<i32>) -> Option<(Path<Vec2<i32>>, f32)> {
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let sim = &ctx.sim;
let heuristic = move |l: &Vec2<i32>| (l.distance_squared(b) as f32).sqrt();
let neighbors = |l: &Vec2<i32>| {
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<i32>, b: &Vec2<i32>| 1.0 + walk_in_dir(sim, *a, *b - *a).unwrap_or(10000.0);
let satisfied = |l: &Vec2<i32>| *l == b;
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let mut astar = Astar::new(20000, a, heuristic);
astar
.poll(20000, heuristic, neighbors, transition, satisfied)
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.into_path()
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.and_then(|path| astar.get_cheapest_cost().map(|cost| (path, cost)))
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}
/// 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<i32>, dir: Vec2<i32>) -> Option<f32> {
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)
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} else {
None
}
}
/// Return true if a position is suitable for walking on
fn loc_suitable_for_walking(sim: &WorldSim, loc: Vec2<i32>) -> 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<i32>, dir: Vec2<i32>) -> 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<i32>) -> bool {
if let Some(chunk) = sim.get(loc) {
!chunk.river.is_ocean() &&
!chunk.river.is_lake() &&
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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<impl Rng>, near: Option<(Vec2<i32>, f32)>) -> Option<Vec2<i32>> {
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::<f32>() * 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<Site>,
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homeland: Id<Place>,
}
#[derive(Debug)]
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pub struct Place {
center: Vec2<i32>,
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<impl Rng>, loc: Vec2<i32>) {
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 };
}
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}
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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,
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path: Path<Vec2<i32>>,
}
#[derive(Debug)]
pub struct Site {
kind: SiteKind,
center: Vec2<i32>,
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pub place: Id<Place>,
population: f32,
// Total amount of each stock
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stocks: Stocks<f32>,
// For some goods, such a goods without any supply, it doesn't make sense to talk about value
values: Stocks<Option<f32>>,
// Proportion of individuals dedicated to an industry
labors: MapVec<Occupation, f32>,
// Per worker, per year, of their output good
yields: MapVec<Occupation, f32>,
//trade_states: Stocks<TradeState>,
//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, "Stocks")?;
for (stock, q) in self.stocks.iter() {
writeln!(f, "- {}: {}", stock, q.floor())?;
}
writeln!(f, "Prices")?;
for (stock, v) in self.values.iter() {
writeln!(f, "- {}: {}", stock, v.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)?;
}
Ok(())
}
}
#[derive(Debug)]
pub enum SiteKind {
Settlement,
}
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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, 0.25)]),
(Some(COOK), vec![(FLOUR, 6.5), (MEAT, 1.5)]),
(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::<HashMap<_, Vec<(Stock, f32)>>>();
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 {
debug_assert!(!amount.is_nan(), "{:?}, {}", labor, stock);
debug_assert!(!scale.is_nan(), "{:?}, {}, {}", labor, stock, self.population);
demand[*stock] += *amount * scale;
}
}
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let surplus = demand.clone().map(|stock, tgt| {
debug_assert!(!self.stocks[stock].is_nan());
debug_assert!(!demand[stock].is_nan());
self.stocks[stock] - demand[stock]
});
// Update values according to the surplus of each stock
surplus.iter().for_each(|(stock, surplus)| {
let val = 2.5f32.powf(-*surplus / demand[stock]);
self.values[stock] = if val > 0.01 && val < 10000.0 { Some(val) } else { None };
});
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// 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, 0.5)),
(COOK, (FOOD, 8.0)),
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]);
let population = self.population;
// Redistribute workforce according to relative good values
let labor_ratios = production.clone().map(|labor, (output_stock, _)| {
debug_assert!(self.values[output_stock].unwrap_or(0.0) < 1000000.0, "{:?}", self.values[output_stock]);
debug_assert!(self.yields[labor] < 1000000.0, "{}", self.yields[labor]);
self.values[output_stock].unwrap_or(0.0) * self.yields[labor]
});
let labor_ratio_sum = labor_ratios.iter().map(|(_, r)| *r).sum::<f32>().max(0.01);
assert!(labor_ratio_sum > 0.0);
production.iter().for_each(|(labor, _)| {
debug_assert!(!labor_ratios[labor].is_nan() && !labor_ratios[labor].is_infinite(), "{:?}, {}", labor, labor_ratios[labor]);
debug_assert!(!labor_ratio_sum.is_nan() && !labor_ratio_sum.is_infinite(), "{:?}, {}", labor, labor_ratio_sum);
let smooth = 0.5;
self.labors[labor] = smooth * self.labors[labor] + (1.0 - smooth) * (labor_ratios[labor].max(labor_ratio_sum / 1000.0) / labor_ratio_sum);
});
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// Production
let stocks_before = self.stocks.clone();
self.stocks = Stocks::from_default(0.0);
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
let min_satisfaction = 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 * min_satisfaction;
// Deplete stocks accordingly
//self.stocks[*stock] = (self.stocks[*stock] - used).max(0.0);
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}
// Industries produce things
if let Some(labor) = labor {
let (stock, rate) = production[*labor];
let yield_per_worker = min_satisfaction * rate;
self.yields[*labor] = yield_per_worker;
self.stocks[stock] += yield_per_worker * self.labors[*labor] * population;
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}
}
// Births/deaths
const NATURAL_BIRTH_RATE: f32 = 0.15;
const DEATH_RATE: f32 = 0.05;
debug_assert!(!surplus[FOOD].is_nan());
debug_assert!(!surplus[FOOD].is_infinite());
let birth_rate = if surplus[FOOD] > 0.0 { NATURAL_BIRTH_RATE } else { 0.0 };
self.population += years * self.population * (birth_rate - DEATH_RATE);
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}
}
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";
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type Stock = &'static str;
const WHEAT: Stock = "wheat";
const FLOUR: Stock = "flour";
const MEAT: Stock = "meat";
const FISH: Stock = "fish";
const GAME: Stock = "game";
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const FOOD: Stock = "food";
const LOGS: Stock = "logs";
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const WOOD: Stock = "wood";
const ROCK: Stock = "rock";
const STONE: Stock = "stone";
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#[derive(Debug, Clone)]
struct TradeState {
buy_belief: econ::Belief,
sell_belief: econ::Belief,
/// The price/value assigned to the stock by the host settlement
domestic_value: f32,
surplus: f32,
purchase_priority: f32,
}
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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,
},
domestic_value: 1.0,
surplus: 0.0,
purchase_priority: 1.0,
}
}
}
pub type Stocks<T> = MapVec<Stock, T>;
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#[derive(Default, Clone, Debug)]
pub struct MapVec<K, T> {
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entries: HashMap<K, T>,
default: T,
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}
impl<K: Copy + Eq + Hash, T: Default + Clone> MapVec<K, T> {
pub fn from_list<'a>(i: impl IntoIterator<Item=&'a (K, T)>) -> Self
where K: 'a, T: 'a
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{
Self {
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entries: i.into_iter().cloned().collect(),
default: T::default(),
}
}
pub fn from_default(default: T) -> Self {
Self {
entries: HashMap::default(),
default,
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}
}
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pub fn get_mut(&mut self, entry: K) -> &mut T {
let default = &self.default;
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self
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.entries
.entry(entry)
.or_insert_with(|| default.clone())
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}
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pub fn get(&self, entry: K) -> &T {
self.entries.get(&entry).unwrap_or(&self.default)
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}
pub fn map<U: Default>(mut self, mut f: impl FnMut(K, T) -> U) -> MapVec<K, U> {
MapVec {
entries: self.entries.into_iter().map(|(s, v)| (s.clone(), f(s, v))).collect(),
default: U::default(),
}
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}
pub fn iter(&self) -> impl Iterator<Item=(K, &T)> + '_ {
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self.entries.iter().map(|(s, v)| (*s, v))
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}
pub fn iter_mut(&mut self) -> impl Iterator<Item=(K, &mut T)> + '_ {
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self.entries.iter_mut().map(|(s, v)| (*s, v))
}
}
impl<K: Copy + Eq + Hash, T: Default + Clone> std::ops::Index<K> for MapVec<K, T> {
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type Output = T;
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fn index(&self, entry: K) -> &Self::Output { self.get(entry) }
}
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impl<K: Copy + Eq + Hash, T: Default + Clone> std::ops::IndexMut<K> for MapVec<K, T> {
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fn index_mut(&mut self, entry: K) -> &mut Self::Output { self.get_mut(entry) }
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}