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day11.rs
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use std::{collections::HashMap, vec};
#[derive(Clone)]
struct Item {
val: usize,
vals: HashMap<usize, usize>,
}
impl Item {
pub fn new(val: usize) -> Self {
Item {
val,
vals: HashMap::new(),
}
}
}
#[derive(Clone)]
struct Test {
div: usize,
test_true: usize,
test_false: usize,
}
#[derive(Clone)]
struct Monkey<'a> {
id: usize,
items: Vec<Item>,
op_tok: Vec<&'a str>,
test: Test,
inspections: usize,
}
impl<'a> Monkey<'a> {
fn operate(&self, worry_level: usize) -> usize {
let a = if self.op_tok[0] == "old" { worry_level } else {self.op_tok[0].parse::<usize>().unwrap()};
let b = if self.op_tok[2] == "old" { worry_level } else {self.op_tok[2].parse::<usize>().unwrap()};
return if self.op_tok[1] == "+" { a + b } else {a * b};
}
fn dest(&self, worry_level: usize) -> usize {
return if worry_level % self.test.div == 0 {
self.test.test_true
} else {
self.test.test_false
}
}
}
fn main() {
let data: Vec<&str> = include_str!("input.txt").trim()
.split("\n\n")
.collect();
let monkeys: Vec<Monkey> = data.iter()
.map(|chunk| {
let lines: Vec<&str> = chunk.lines().collect();
let starting_items: Vec<Item> = lines[1].split_once(':').unwrap().1.split(",")
.map(|x| x.trim().parse::<usize>().unwrap())
.map(|x| Item::new(x))
.collect();
Monkey {
id: lines[0].split_whitespace().last().unwrap().trim_end_matches(":").parse::<usize>().unwrap(),
items: starting_items,
op_tok: lines[2].split_once('=').unwrap().1.split_whitespace().collect(),
test: Test {
div: lines[3].split_whitespace().last().unwrap().parse::<usize>().unwrap(),
test_true: lines[4].split_whitespace().last().unwrap().parse::<usize>().unwrap(),
test_false: lines[5].split_whitespace().last().unwrap().parse::<usize>().unwrap(),
},
inspections: 0,
}
})
.collect();
let mut monkeys1 = monkeys.clone();
let mut new_items: Vec<Vec<Item>> = vec![vec![]; monkeys1.len()];
for _ in 1..=20 {
monkeys1.iter_mut().enumerate().for_each(|(midx, m)| {
m.items.append(&mut new_items[midx]);
m.items.iter()
.map(|item| item.val)
.collect::<Vec<usize>>()
.drain(..)
.for_each(|item| {
m.inspections += 1;
let new_worry_level = m.operate(item) / 3;
let target = m.dest(new_worry_level);
new_items[target].push(Item::new(new_worry_level));
});
m.items.clear();
});
}
let mut part1: Vec<usize> = monkeys1.iter().map(|m| m.inspections).collect();
part1.sort();
println!("part1 {}", part1.iter().rev().take(2).product::<usize>());
let mut monkeys2 = monkeys.clone();
let divisors: Vec<usize> = monkeys.iter().map(|m| m.test.div).collect();
monkeys2.iter_mut()
.flat_map(|m| m.items.iter_mut())
.for_each(|item| {
item.vals = HashMap::from_iter(divisors.iter().map(|&x| (x, item.val % x)));
});
let mut new_items: Vec<Vec<Item>> = vec![vec![]; monkeys2.len()];
for _ in 1..=10000 {
monkeys2.iter_mut()
.enumerate()
.for_each(|(midx, m)| {
m.items.append(&mut new_items[midx]);
m.items
.clone()
.drain(..)
.into_iter()
.for_each(|mut item| {
m.inspections += 1;
item.vals.iter_mut().for_each(|(k, v)| {
let new_val = m.operate(*v);
*v = new_val % k;
});
let new_worry_level = *item.vals.get(&m.test.div).unwrap();
let target = m.dest(new_worry_level);
new_items[target].push(item);
});
m.items.clear();
});
}
let mut part2: Vec<usize> = monkeys2.iter().map(|m| m.inspections).collect();
part2.sort();
println!("part1 {}", part2.iter().rev().take(2).product::<usize>());
}