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mod.rs
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mod.rs
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mod valve;
use std::{
cmp::max,
collections::{HashMap, HashSet},
str::FromStr,
};
use anyhow::{Context, Result};
use indicatif::ProgressBar;
use pathfinding::prelude::dijkstra;
use rayon::prelude::*;
use self::valve::Valve;
type DistanceMap<'a> = HashMap<&'a Valve, Vec<(&'a Valve, usize)>>;
#[aoc_generator(day16)]
pub fn input_generator(input: &str) -> Result<Vec<Valve>> {
input
.lines()
.filter(|s| !s.is_empty())
.map(Valve::from_str)
.collect::<Result<Vec<_>>>()
.context("Error while parsing input")
}
fn resolve_valve<'a>(valves: &'a [Valve], name: &String) -> Option<&'a Valve> {
valves.iter().find(|v| &v.name == name)
}
fn get_neighbors<'a>(valves: &'a [Valve], valve: &Valve) -> Vec<(&'a Valve, usize)> {
valve
.valves
.iter()
.filter_map(|v| Some((resolve_valve(valves, v)?, 1)))
.collect::<Vec<_>>()
}
fn pre_calc_distances(valves: &[Valve]) -> DistanceMap {
let names = valves.iter().map(|v| v.name.to_owned()).collect::<Vec<_>>();
let mut map = HashMap::new();
for start in names.iter() {
let mut distances = vec![];
let start_valve = if let Some(node) = resolve_valve(valves, start) {
node
} else {
continue;
};
for end in names.iter().filter(|&v| v != start) {
let end_valve = if let Some(node) = resolve_valve(valves, end) {
node
} else {
continue;
};
if let Some(distance) = dijkstra(
&start_valve,
|valve| get_neighbors(valves, valve),
|valve| &valve.name == end,
) {
distances.push((end_valve, distance.1));
}
}
distances.sort_by(|a, b| b.0.flow_rate.cmp(&a.0.flow_rate));
let distances = distances
.into_iter()
.filter(|&(v, _)| v.flow_rate > 0)
.collect::<Vec<_>>();
map.entry(start_valve).or_insert(distances);
}
map
}
#[derive(Debug, Clone)]
pub struct State<'a> {
opened: HashSet<&'a Valve>,
visited: HashSet<&'a Valve>,
time: usize,
location: &'a Valve,
total_flow: usize,
}
impl<'a> State<'a> {
fn new(start: &'a Valve) -> Self {
State {
opened: HashSet::new(),
visited: HashSet::new(),
time: 0,
location: start,
total_flow: 0,
}
}
fn flow_during_time(&self, time: usize) -> usize {
self.opened.iter().map(|v| v.flow_rate).sum::<usize>() * time
}
fn next(
&self,
new_location: &'a Valve,
distance: usize,
open: bool,
limit: usize,
) -> Option<Self> {
if self.opened.contains(&new_location) && open {
return None;
}
let time_consumed = distance + usize::from(open);
if self.time + time_consumed > limit {
return None;
}
let flow = self.flow_during_time(time_consumed);
let new_opened_valves = if open {
let mut new_opened = self.opened.clone();
new_opened.insert(new_location);
new_opened
} else {
self.opened.clone()
};
let mut new_visited = self.visited.clone();
new_visited.insert(new_location);
Some(State::<'a> {
opened: new_opened_valves,
visited: new_visited,
time: self.time + time_consumed,
location: new_location,
total_flow: self.total_flow + flow,
})
}
fn wait(&self, time: usize) -> Self {
let mut result = self.clone();
result.time += time;
result.total_flow += self.flow_during_time(time);
result
}
fn follow_up_states(&self, map: &'a DistanceMap, limit: usize) -> Vec<Self> {
let next = if let Some(n) = map.get(self.location) {
n
} else {
return vec![];
};
if self.opened.len() > next.len() {
return vec![self.wait(limit - self.time)];
}
let opened_iter = next
.iter()
.filter(|&(v, _)| !self.opened.contains(v))
.filter(|&(v, _)| !self.visited.contains(v))
.filter_map(|&(v, d)| self.next(v, d, true, limit));
let mut result = opened_iter.collect::<Vec<_>>();
result.push(self.wait(1));
result
}
}
fn total_flow<'a>(valves: &'a [Valve], map: &'a DistanceMap, limit: usize, opened: Option<HashSet<&'a Valve>>) -> Option<(usize, Vec<State<'a>>)> {
let start = valves.iter().find(|v| &v.name == "AA")?;
let mut state = State::new(start);
if let Some(opened) = opened {
state.opened = opened;
}
let mut queue = vec![state.clone()];
let mut max_flow = 0;
let largest_flow = valves.iter().map(|v| v.flow_rate).sum::<usize>();
let mut states = Vec::with_capacity(23310000);
states.push(state);
while let Some(q) = queue.pop() {
max_flow = max(max_flow, q.total_flow);
if q.time >= limit {
continue;
}
let best_case_remaining_flow = q.total_flow + (limit - q.time) * largest_flow;
if limit > 26 && best_case_remaining_flow < max_flow {
continue;
}
let mut follow_up_states = q.follow_up_states(map, limit);
states.append(&mut follow_up_states.clone());
queue.append(&mut follow_up_states);
}
Some((max_flow, states))
}
#[aoc(day16, part1)]
pub fn solve_part1(input: &[Valve]) -> Result<usize> {
let limit = 30;
let map = pre_calc_distances(input);
let (result, _) = total_flow(input, &map, limit, None).context("Could not calculate")?;
Ok(result)
}
#[aoc(day16, part2)]
pub fn solve_part2(input: &[Valve]) -> Result<usize> {
let limit = 26;
let map = pre_calc_distances(input);
let (_, mut states) = total_flow(input, &map, limit, None).context("Could not calculate")?;
states.sort_by(|a, b| b.total_flow.cmp(&a.total_flow));
let valves_to_open = input.iter().filter(|v| v.flow_rate > 0).count();
let pb = ProgressBar::new(states.len() as u64);
let max_flow = states.par_iter().map(|state_a| {
pb.inc(1);
let mut max_flow = 0;
for state_b in states.iter() {
if state_a.opened.len() + state_b.opened.len() > valves_to_open {
continue;
}
if state_a.opened.intersection(&state_b.opened).count() > 0 {
continue;
}
max_flow = max(max_flow, state_a.total_flow + state_b.total_flow);
// we have a sorted list, it's not going to get any better
break;
}
max_flow
})
.max().context("Could not determine max flow")?;
pb.finish_and_clear();
Ok(max_flow)
}