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Solve Day 6 & 8, refactor Day 6 with itertools
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@@ -0,0 +1,4 @@
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---
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alwaysApply: true
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---
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When generating code, consider utilizing libraries that have been added to the project (such as itertools) if they make the resulting code more performant or readable.
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@@ -16,8 +16,9 @@ Solutions for [Advent of Code](https://adventofcode.com/) in [Rust](https://www.
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| [Day 3](./src/bin/03.rs) | `85.1µs` | `121.6µs` |
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| [Day 4](./src/bin/04.rs) | `244.2µs` | `4.1ms` |
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| [Day 5](./src/bin/05.rs) | `196.7µs` | `66.3µs` |
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| [Day 6](./src/bin/06.rs) | `109.0µs` | `194.2µs` |
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**Total: 5.49ms**
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**Total: 5.79ms**
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<!--- benchmarking table --->
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---
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@@ -0,0 +1,5 @@
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123 328 51 64
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45 64 387 23
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6 98 215 314
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* + * +
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@@ -0,0 +1,21 @@
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162,817,812
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57,618,57
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906,360,560
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592,479,940
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352,342,300
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466,668,158
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542,29,236
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431,825,988
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739,650,466
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52,470,668
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216,146,977
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819,987,18
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117,168,530
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805,96,715
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346,949,466
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970,615,88
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941,993,340
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862,61,35
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984,92,344
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425,690,689
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+155
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use itertools::Itertools;
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advent_of_code::solution!(6);
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/// Calculate result for a problem given numbers and operator
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fn calculate_result(numbers: &[u64], operator: &str) -> u64 {
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match operator {
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"*" => numbers.iter().product(),
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"+" => numbers.iter().sum(),
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_ => 0,
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}
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}
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/// Parse problems from the worksheet and calculate the grand total
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fn solve_worksheet(input: &str) -> u64 {
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let lines: Vec<&str> = input.lines().filter(|l| !l.is_empty()).collect();
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if lines.is_empty() {
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return 0;
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}
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// Parse each line into tokens using whitespace splitting
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let rows: Vec<Vec<&str>> = lines
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.iter()
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.map(|line| line.split_ascii_whitespace().collect())
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.collect();
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// Split into operator row and number rows
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let (number_rows, operator_row) = rows.split_at(rows.len() - 1);
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let operator_row = &operator_row[0];
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// Process each problem column and sum results
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(0..operator_row.len())
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.map(|problem_idx| {
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let operator = operator_row.get(problem_idx).copied().unwrap_or("+");
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let numbers: Vec<u64> = number_rows
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.iter()
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.filter_map(|row| row.get(problem_idx))
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.filter_map(|s| s.parse().ok())
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.collect();
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calculate_result(&numbers, operator)
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})
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.sum()
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}
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pub fn part_one(input: &str) -> Option<u64> {
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Some(solve_worksheet(input))
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}
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/// Calculate result for a problem given numbers and operator (char version)
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fn calculate_result_char(numbers: &[u64], operator: char) -> u64 {
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match operator {
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'*' => numbers.iter().product(),
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'+' => numbers.iter().sum(),
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_ => 0,
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}
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}
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/// Find problem boundaries from column space information
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/// Returns ranges of (start, end) for each problem
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fn find_problem_boundaries(grid: &[Vec<char>], max_len: usize) -> Vec<(usize, usize)> {
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(0..max_len)
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.map(|col| grid.iter().all(|row| row[col] == ' '))
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.enumerate()
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.chunk_by(|&(_, is_space)| is_space)
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.into_iter()
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.filter_map(|(is_space, group)| {
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if is_space {
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None
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} else {
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let cols: Vec<_> = group.collect();
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let start = cols.first()?.0;
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let end = cols.last()?.0 + 1;
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Some((start, end))
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}
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})
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.collect()
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}
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/// Parse problems using cephalopod math (right-to-left columns)
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/// This requires parsing the actual character grid to preserve column positions
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fn solve_worksheet_cephalopod(input: &str) -> u64 {
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let lines: Vec<&str> = input.lines().filter(|l| !l.is_empty()).collect();
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if lines.is_empty() {
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return 0;
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}
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// Find max line length and build padded grid
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let max_len = lines.iter().map(|l| l.len()).max().unwrap_or(0);
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let grid: Vec<Vec<char>> = lines
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.iter()
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.map(|l| {
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let mut chars: Vec<char> = l.chars().collect();
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chars.resize(max_len, ' ');
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chars
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})
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.collect();
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if grid.len() < 2 {
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return 0;
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}
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// Split into operator row and number rows
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let (number_rows, operator_rows) = grid.split_at(grid.len() - 1);
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let operator_row = &operator_rows[0];
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// Find problem boundaries and process each
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find_problem_boundaries(&grid, max_len)
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.into_iter()
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.map(|(start, end)| {
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// Find operator for this problem
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let operator = (start..end)
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.find_map(|col| {
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let c = operator_row[col];
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(c == '*' || c == '+').then_some(c)
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})
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.unwrap_or('+');
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// Read columns right-to-left, each column forms a number
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let numbers: Vec<u64> = (start..end)
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.rev()
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.filter_map(|col| {
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let digits: String = number_rows
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.iter()
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.map(|row| row[col])
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.filter(|c| c.is_ascii_digit())
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.collect();
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digits.parse().ok()
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})
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.collect();
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calculate_result_char(&numbers, operator)
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})
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.sum()
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}
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pub fn part_two(input: &str) -> Option<u64> {
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Some(solve_worksheet_cephalopod(input))
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_part_one() {
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let result = part_one(&advent_of_code::template::read_file("examples", DAY));
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assert_eq!(result, Some(4277556));
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}
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#[test]
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fn test_part_two() {
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let result = part_two(&advent_of_code::template::read_file("examples", DAY));
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assert_eq!(result, Some(3263827));
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}
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}
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+152
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advent_of_code::solution!(8);
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/// Union-Find data structure for tracking circuits
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struct UnionFind {
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parent: Vec<usize>,
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rank: Vec<usize>,
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size: Vec<usize>,
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}
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impl UnionFind {
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fn new(n: usize) -> Self {
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Self {
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parent: (0..n).collect(),
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rank: vec![0; n],
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size: vec![1; n],
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}
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}
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fn find(&mut self, x: usize) -> usize {
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if self.parent[x] != x {
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self.parent[x] = self.find(self.parent[x]); // Path compression
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}
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self.parent[x]
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}
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fn union(&mut self, x: usize, y: usize) -> bool {
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let root_x = self.find(x);
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let root_y = self.find(y);
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if root_x == root_y {
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return false; // Already in same circuit
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}
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// Union by rank
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match self.rank[root_x].cmp(&self.rank[root_y]) {
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std::cmp::Ordering::Less => {
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self.parent[root_x] = root_y;
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self.size[root_y] += self.size[root_x];
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}
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std::cmp::Ordering::Greater => {
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self.parent[root_y] = root_x;
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self.size[root_x] += self.size[root_y];
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}
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std::cmp::Ordering::Equal => {
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self.parent[root_y] = root_x;
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self.size[root_x] += self.size[root_y];
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self.rank[root_x] += 1;
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}
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}
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true
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}
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fn get_circuit_sizes(&mut self) -> Vec<usize> {
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let n = self.parent.len();
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let mut sizes = Vec::new();
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for i in 0..n {
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if self.find(i) == i {
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sizes.push(self.size[i]);
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}
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}
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sizes
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}
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}
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/// Parse a line "X,Y,Z" into coordinates
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fn parse_coord(line: &str) -> Option<(i64, i64, i64)> {
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let mut parts = line.split(',');
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let x = parts.next()?.parse().ok()?;
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let y = parts.next()?.parse().ok()?;
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let z = parts.next()?.parse().ok()?;
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Some((x, y, z))
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}
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/// Calculate squared Euclidean distance (to avoid sqrt)
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fn distance_squared(a: (i64, i64, i64), b: (i64, i64, i64)) -> i64 {
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let dx = a.0 - b.0;
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let dy = a.1 - b.1;
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let dz = a.2 - b.2;
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dx * dx + dy * dy + dz * dz
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}
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fn solve(input: &str, num_connections: usize) -> Option<u64> {
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let coords: Vec<(i64, i64, i64)> = input
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.lines()
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.filter(|line| !line.trim().is_empty())
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.filter_map(parse_coord)
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.collect();
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let n = coords.len();
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if n == 0 {
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return None;
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}
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// Generate all pairs with distances
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let mut pairs: Vec<(i64, usize, usize)> = Vec::with_capacity(n * (n - 1) / 2);
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for i in 0..n {
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for j in (i + 1)..n {
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let dist = distance_squared(coords[i], coords[j]);
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pairs.push((dist, i, j));
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}
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}
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// Sort by distance
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pairs.sort_unstable_by_key(|&(dist, _, _)| dist);
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// Process connections using Union-Find
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let mut uf = UnionFind::new(n);
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let mut connections_made = 0;
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for (_, i, j) in pairs {
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if connections_made >= num_connections {
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break;
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}
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// Try to connect - even if already connected, it counts as one of our connections
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uf.union(i, j);
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connections_made += 1;
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}
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// Get circuit sizes and find 3 largest
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let mut sizes = uf.get_circuit_sizes();
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sizes.sort_unstable_by(|a, b| b.cmp(a)); // Sort descending
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// Multiply 3 largest
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let result: u64 = sizes.iter().take(3).map(|&s| s as u64).product();
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Some(result)
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}
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pub fn part_one(input: &str) -> Option<u64> {
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solve(input, 1000)
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}
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pub fn part_two(input: &str) -> Option<u64> {
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None
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_part_one() {
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// Example uses 10 connections, not 1000
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let result = solve(&advent_of_code::template::read_file("examples", DAY), 10);
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assert_eq!(result, Some(40));
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}
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#[test]
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fn test_part_two() {
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let result = part_two(&advent_of_code::template::read_file("examples", DAY));
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assert_eq!(result, None);
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}
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}
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