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use std::collections::HashMap;
use regex::Regex;
#[derive(Debug,Clone)]
struct Track {
current_valve: String,
final_pressure_release: u32,
valves_opened: Vec<String>,
debug: String,
}
#[derive(Debug)]
struct Valve {
flow_rate: u32,
next_valves: Vec<String>,
}
pub fn run(input: String) {
let re = Regex::new(r"^Valve ([A-Z]+) has flow rate=(\d+); tunnels? leads? to valves? ([A-Z, ]+)$").unwrap();
let valves: HashMap<String,Valve> = input.lines().map(|line| {
let cap = re.captures(line).expect(format!("line didn't match regex! {}", line).as_str());
let name = cap[1].to_string();
let flow_rate: u32 = cap[2].parse().expect("flow rate wasn't a u32!");
let next_valves: Vec<String> = cap[3].split(", ").map(|x| { x.to_string() }).collect();
(name, Valve{flow_rate,next_valves})
}).collect();
// How to do this one?
// I think... tracking all options? It's basically a tree right?
// max depth of the tree is 30,corresponding to minutes
// at each depth, options are -> open valve OR move to another valve
// and at each depth we have a score, and a list of already-opened valves
let root = Track {current_valve: "AA".to_string(), final_pressure_release:0, valves_opened: vec![], debug: "Start at AA".to_string()};
let mut tracks: Vec<Track> = vec![root];
let mut next_tracks: Vec<Track> = Vec::new();
let total_mins: u32 = 30;
for minute in 0..=total_mins {
let mins_remaining = total_mins - minute;
for track in &tracks {
let cv = &valves[&track.current_valve];
// try open the valve (if it's got any flow, and if it's not already open)
if cv.flow_rate > 0 && !track.valves_opened.contains(&track.current_valve) {
let mut nt = track.clone();
nt.valves_opened.push(track.current_valve.clone());
if mins_remaining > 0 {
nt.final_pressure_release += cv.flow_rate * (mins_remaining-1);
}
nt.debug.push_str(format!(", Opened {}", track.current_valve).as_str());
next_tracks.push(nt);
}
// Alt, try moving to another valve
for nv in &cv.next_valves {
let mut nt = track.clone();
nt.current_valve = nv.clone();
nt.debug.push_str(format!(", Moved to {}", nv).as_str());
next_tracks.push(nt);
}
}
next_tracks.sort_by(|t1, t2| {t1.final_pressure_release.cmp(&t2.final_pressure_release)}.reverse());
next_tracks.truncate(3_usize.pow(5));
tracks = next_tracks.clone();
next_tracks = Vec::new();// prune? keep the top N scorers?
}
// Find the track with the biggest final score
let max_track = tracks.iter().max_by(|t1,t2| {t1.final_pressure_release.cmp(&t2.final_pressure_release)}).unwrap();
//let max_pressure_release = tracks.iter().map(|t| {t.final_pressure_release}).max().unwrap();
println!("Day 16: {}", max_track.final_pressure_release);
}
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