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-rw-r--r--d22/src/main.rs205
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diff --git a/d22/src/main.rs b/d22/src/main.rs
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+use std::fs;
+use std::collections::{HashSet, VecDeque};
+
+#[derive(Clone, Debug)]
+struct Node {
+ goal: bool,
+ //size: usize,
+ used: usize,
+ avail: usize,
+}
+
+fn parse(lines: Vec<&str>) -> Vec<Vec<Node>> {
+ let mut nodes = Vec::with_capacity(36);
+
+ let mut y = 0;
+ let mut column = Vec::with_capacity(25);
+ // Skip the first two lines; see `input.txt' to see why
+ for i in 2..lines.len() {
+ let words: Vec<&str> = lines[i].split_ascii_whitespace().collect();
+
+ // Read the `df -h' data, ignoring the node name
+ let node = Node {
+ goal: false,
+ //size: words[1].trim_end_matches('T').parse().unwrap(),
+ used: words[2].trim_end_matches('T').parse().unwrap(),
+ avail: words[3].trim_end_matches('T').parse().unwrap(),
+ };
+ column.push(node);
+
+ y += 1;
+ // The grid size is hardcoded at 25 rows here
+ if y > 24 {
+ nodes.push(column);
+
+ y = 0;
+ column = Vec::with_capacity(25);
+ }
+ }
+
+ // In part 2, we want the data in the top-right corner
+ nodes.last_mut().unwrap()[0].goal = true;
+
+ nodes
+}
+
+fn solve_part1(state: &Vec<Vec<Node>>) -> usize {
+ let mut pairs = Vec::new();
+
+ for x1 in 0..state.len() {
+ for y1 in 0..state[0].len() {
+ for x2 in 0..state.len() {
+ for y2 in 0..state[0].len() {
+ // Check for a "viable pair" according to puzzle description
+ if (x1 != x2 || y1 != y2) && state[x1][y1].used > 0 {
+ if state[x1][y1].used < state[x2][y2].avail {
+ pairs.push(((x1, y1), (x2, y2)));
+ }
+ }
+ }
+ }
+ }
+ }
+
+ pairs.len()
+}
+
+
+fn serialize(state: &Vec<Vec<Node>>) -> String {
+ let mut result = String::new();
+
+ // Print grid like the example in part 2's description.
+ // Some information is deliberately lost in this step.
+ for y in 0..state[0].len() {
+ for x in 0..state.len() {
+ if state[x][y].goal {
+ result.push('G');
+ } else if state[x][y].used > 100 {
+ result.push('#');
+ } else if state[x][y].used == 0 {
+ result.push('_');
+ } else {
+ result.push('.');
+ }
+ }
+ result.push('\n');
+ }
+
+ result
+}
+
+fn solve_part2(start: &Vec<Vec<Node>>) -> usize {
+ // We will do a breadth-first search of the state space, with the catch
+ // that `serialize()' maps several states onto the same representation
+ let mut visited = HashSet::from([serialize(&start)]);
+ let mut queue = VecDeque::from([(start.clone(), 0)]);
+
+ loop {
+ let (state, depth) = queue.pop_front().unwrap();
+
+ // End condition: did we move the target data to top-left node?
+ if state[0][0].goal {
+ return depth;
+ }
+
+ // There is one empty node; find its coordinates
+ let mut empty = (36, 25);
+ for x in 0..state.len() {
+ for y in 0..state[0].len() {
+ if state[x][y].used == 0 {
+ empty = (x, y);
+ }
+ }
+ }
+
+ // Get coordinates of up to four neighbours of `empty'
+ let mut neighbours = Vec::new();
+ if empty.0 > 0 {
+ neighbours.push((empty.0 - 1, empty.1));
+ }
+ if empty.0 < state.len() - 1 {
+ neighbours.push((empty.0 + 1, empty.1));
+ }
+ if empty.1 > 0 {
+ neighbours.push((empty.0, empty.1 - 1));
+ }
+ if empty.1 < state[0].len() - 1 {
+ neighbours.push((empty.0, empty.1 + 1));
+ }
+
+ // Generate new states, one for swapping `empty' with each neighbour
+ let mut new_states = Vec::new();
+ for neigh in neighbours {
+ // Some nodes are large and full; their data won't fit in `empty',
+ // so we ignore them. Otherwise, we assume that the data will fit;
+ // this assumption is justified by the example given for part 2.
+ if state[neigh.0][neigh.1].used > 100 {
+ continue;
+ }
+
+ let mut ns = state.clone();
+
+ let amount = ns[neigh.0][neigh.1].used;
+ ns[neigh.0][neigh.1].used -= amount;
+ ns[neigh.0][neigh.1].avail += amount;
+
+ ns[empty.0][empty.1].used += amount;
+ ns[empty.0][empty.1].avail -= amount;
+
+ if ns[neigh.0][neigh.1].goal {
+ ns[empty.0][empty.1].goal = true;
+ ns[neigh.0][neigh.1].goal = false;
+ }
+
+ new_states.push(ns);
+ }
+
+ for ns in new_states {
+ // Via `serialize()' many uninteresting states are discarded here
+ let ser = serialize(&ns);
+ if !visited.contains(&ser) {
+ visited.insert(ser);
+ queue.push_back((ns, depth + 1));
+ }
+ }
+ }
+}
+
+fn main() {
+ // Read data from input text file
+ let input = fs::read_to_string("input.txt").unwrap();
+ let lines = input.lines().collect();
+ let nodes = parse(lines);
+
+ // Part 1 gives 864 for me
+ println!("Part 1 solution: {}", solve_part1(&nodes));
+
+ // Part 2 gives 244 for me
+ println!("Part 2 solution: {}", solve_part2(&nodes));
+}
+
+// Disabled because I'm too lazy to rewrite `parse()'
+// to make it handle different grid sizes properly
+/*#[cfg(test)]
+mod tests {
+ use super::*;
+
+ #[test]
+ fn part2_example1() {
+ let lines = vec![
+ "root@ebhq-gridcenter# df -h",
+ "Filesystem Size Used Avail Use%",
+ "/dev/grid/node-x0-y0 10T 8T 2T 80%",
+ "/dev/grid/node-x0-y1 11T 6T 5T 54%",
+ "/dev/grid/node-x0-y2 32T 28T 4T 87%",
+ "/dev/grid/node-x1-y0 9T 7T 2T 77%",
+ "/dev/grid/node-x1-y1 8T 0T 8T 0%",
+ "/dev/grid/node-x1-y2 11T 7T 4T 63%",
+ "/dev/grid/node-x2-y0 10T 6T 4T 60%",
+ "/dev/grid/node-x2-y1 9T 8T 1T 88%",
+ "/dev/grid/node-x2-y2 9T 6T 3T 66%",
+ ];
+ let nodes = parse(lines);
+ assert_eq!(solve_part2(&nodes), 7);
+ }
+}*/