part2: works up to the 4th iteration, then returns too high values
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test / AoC 2024 (push) Failing after 3m40s
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test / AoC 2024 (push) Failing after 3m40s
I think the issue is not testing both possible paths for direction keypads, but doing this naively blows up the compute complexity (and I got the wrong answer)
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src/day21.rs
132
src/day21.rs
@ -1,13 +1,23 @@
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use aoc_runner_derive::aoc;
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use itertools::Itertools;
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use rustc_hash::FxHashMap;
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use std::iter::repeat_n;
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trait KeypadRobot {
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fn new() -> Self;
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fn press(&mut self, target: u8) -> Vec<Vec<u8>>;
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#[derive(Clone, Debug)]
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enum KeypadRobot {
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Number(NumberKeypadRobot),
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Direction(DirectionKeypadRobot),
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}
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#[derive(Clone, Copy, Debug)]
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impl KeypadRobot {
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fn press(&mut self, target: u8) -> Vec<FxHashMap<Vec<u8>, usize>> {
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match self {
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Self::Number(r) => r.press(target),
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Self::Direction(r) => r.press(target),
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}
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}
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}
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#[derive(Clone, Debug)]
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struct NumberKeypadRobot {
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pointing_at: u8,
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}
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@ -31,31 +41,39 @@ impl NumberKeypadRobot {
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}
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}
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}
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impl KeypadRobot for NumberKeypadRobot {
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impl NumberKeypadRobot {
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fn new() -> Self {
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Self { pointing_at: b'A' }
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}
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fn press(&mut self, target: u8) -> Vec<Vec<u8>> {
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fn press(&mut self, target: u8) -> Vec<FxHashMap<Vec<u8>, usize>> {
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let cur_pos = Self::pos_of(self.pointing_at);
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let goal_pos = Self::pos_of(target);
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let x_ofs = goal_pos.0 - cur_pos.0;
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let y_ofs = goal_pos.1 - cur_pos.1;
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let mut paths = Vec::new();
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// NOTE: no need to consider zig-zags since those paths will always require more button presses going back and forth
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if (cur_pos.0 + x_ofs, cur_pos.1) != Self::pos_of(b'X') {
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let mut x_first = Vec::new();
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x_first.extend(repeat_n(if x_ofs > 0 { b'>' } else { b'<' }, x_ofs.abs() as usize));
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x_first.extend(repeat_n(if y_ofs > 0 { b'v' } else { b'^' }, y_ofs.abs() as usize));
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x_first.push(b'A');
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paths.push(x_first);
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paths.push({
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let mut h = FxHashMap::default();
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h.insert(x_first, 1);
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h
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});
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}
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if (cur_pos.0, cur_pos.1 + y_ofs) != Self::pos_of(b'X') {
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let mut y_first = Vec::new();
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y_first.extend(repeat_n(if y_ofs > 0 { b'v' } else { b'^' }, y_ofs.abs() as usize));
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y_first.extend(repeat_n(if x_ofs > 0 { b'>' } else { b'<' }, x_ofs.abs() as usize));
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y_first.push(b'A');
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paths.push(y_first);
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paths.push({
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let mut h = FxHashMap::default();
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h.insert(y_first, 1);
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h
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});
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}
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if paths.is_empty() {
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panic!("all paths lead to the void");
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@ -66,13 +84,14 @@ impl KeypadRobot for NumberKeypadRobot {
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}
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}
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#[derive(Clone, Copy, Debug)]
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struct DirectionKeypadRobot<T: KeypadRobot> {
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#[derive(Clone, Debug)]
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struct DirectionKeypadRobot {
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pointing_at: u8,
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child: Option<T>,
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child: Option<Box<KeypadRobot>>,
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id: usize,
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}
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impl<T: KeypadRobot> DirectionKeypadRobot<T> {
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impl DirectionKeypadRobot {
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fn pos_of(target: u8) -> (i8, i8) {
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match target {
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b'X' => (0, 0),
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@ -117,23 +136,31 @@ impl<T: KeypadRobot> DirectionKeypadRobot<T> {
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self.pointing_at = prev_point;
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path
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}
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}
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impl<T: KeypadRobot> KeypadRobot for DirectionKeypadRobot<T> {
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fn new() -> Self {
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fn new(id: usize, child: Option<Box<KeypadRobot>>) -> Self {
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Self {
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id,
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pointing_at: b'A',
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child: None,
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child,
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}
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}
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fn press(&mut self, target: u8) -> Vec<Vec<u8>> {
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let path_options = self.child.as_mut().unwrap().press(target);
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// for each path option, find our shortest route
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let mut candidate_paths = Vec::new();
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for child_path in path_options {
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let candidate_path = self.path_to(&child_path);
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candidate_paths.push(candidate_path);
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fn press(&mut self, target: u8) -> Vec<FxHashMap<Vec<u8>, usize>> {
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let child_frequencies = self.child.as_mut().unwrap().press(target);
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let mut my_frequencies = Vec::new();
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for freq_set in child_frequencies {
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let mut local_freqs = FxHashMap::default();
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for (moves, count) in freq_set {
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assert_eq!(self.pointing_at, b'A');
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let path = self.path_to(&moves);
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for path_move in path.split_inclusive(|m| *m == b'A') {
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let entry = local_freqs.entry(path_move.to_vec()).or_insert(0);
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*entry = *entry + count;
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}
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}
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my_frequencies.push(local_freqs);
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}
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candidate_paths
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my_frequencies
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}
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}
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@ -153,36 +180,43 @@ fn parse(input: &str) -> Vec<Code> {
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codes
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}
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fn run_robots(code: &Code, n: usize) -> i64 {
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let numpad = Box::new(KeypadRobot::Number(NumberKeypadRobot::new()));
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let mut robot = Box::new(KeypadRobot::Direction(DirectionKeypadRobot::new(0, Some(numpad))));
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for i in 1..n {
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let new_robot = Box::new(KeypadRobot::Direction(DirectionKeypadRobot::new(i, Some(robot))));
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robot = new_robot
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}
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// let mut sol_freqs = Vec::new();
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let mut sum = 0;
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for button in &code.0 {
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let paths = robot.press(*button).to_vec();
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let best = paths
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.iter()
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.map(|bp| bp.iter().map(|(k, v)| k.len() * v).sum::<usize>())
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.min()
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.unwrap();
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sum += best;
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}
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return sum as i64 * code.num_val();
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}
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#[aoc(day21, part1)]
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fn part1(input: &str) -> i64 {
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let codes = parse(input);
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let mut sum = 0;
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for code in &codes {
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let numpad = NumberKeypadRobot::new();
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let mut robot1 = DirectionKeypadRobot::new();
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robot1.child = Some(numpad);
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let mut robot2 = DirectionKeypadRobot::new();
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robot2.child = Some(robot1);
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let mut path = Vec::new();
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for button in &code.0 {
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let paths = robot2.press(*button);
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path.push(paths);
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}
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let paths = path.clone().into_iter()
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.multi_cartesian_product()
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.map(|c| c.iter().flatten().map(|c| *c as char).join("")).collect_vec();
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let best = paths.iter().map(|p| p.len()).min().unwrap() as i64;
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let score = code.num_val() * best;
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sum += score;
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}
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sum
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codes.iter().map(|c| run_robots(c, 2)).sum::<i64>() as i64
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}
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#[aoc(day21, part2)]
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fn part2(input: &str) -> i64 {
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todo!()
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let codes = parse(input);
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for i in 0..26 {
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let res = codes.iter().map(|c| run_robots(c, i)).sum::<i64>() as i64;
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println!("{i}: {res}");
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}
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0
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}
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#[cfg(test)]
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