mirror of
https://github.com/bertptrs/adventofcode.git
synced 2025-12-25 21:00:31 +01:00
Refactor for autovectorization.
By storing x/y as a vector of ints instead of a vector of tuples, the compiler recognizes it for what it is: a huge vector multiplication. Now the compiler emits AVX2 instructions.
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@@ -12,8 +12,8 @@ use common::Solution;
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#[derive(Default)]
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pub struct Day10 {
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points: Vec<(i32, i32)>,
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speeds: Vec<(i32, i32)>,
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points: Vec<i32>,
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speeds: Vec<i32>,
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}
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impl Day10 {
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@@ -29,18 +29,20 @@ impl Day10 {
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let line = line.unwrap();
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let groups = matcher.captures(&line).unwrap();
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self.points.push((groups[1].parse().unwrap(), groups[2].parse().unwrap()));
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self.speeds.push((groups[3].parse().unwrap(), groups[4].parse().unwrap()));
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self.points.push(groups[1].parse().unwrap());
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self.points.push(groups[2].parse().unwrap());
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self.speeds.push(groups[3].parse().unwrap());
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self.speeds.push(groups[4].parse().unwrap());
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}
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}
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fn print_state(&self) -> String {
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let points: HashSet<_> = self.points.iter().collect();
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let (xmin, xmax) = match self.points.iter().map(|&(x, _)| x).minmax() {
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let points: HashSet<_> = self.points.iter().tuples().collect();
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let (xmin, xmax) = match points.iter().map(|&(x, _)| *x).minmax() {
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MinMaxResult::MinMax(x, y) => (x, y),
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_ => unreachable!(),
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};
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let (ymin, ymax) = match self.points.iter().map(|&(_, y)| y).minmax() {
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let (ymin, ymax) = match points.iter().map(|&(_, y)| *y).minmax() {
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MinMaxResult::MinMax(x, y) => (x, y),
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_ => unreachable!(),
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};
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@@ -49,7 +51,7 @@ impl Day10 {
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for y in ymin..=ymax {
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for x in xmin..=xmax {
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let c = if points.contains(&(x, y)) { '#' } else { '.' };
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let c = if points.contains(&(&x, &y)) { '#' } else { '.' };
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buffer.push(c);
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}
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@@ -60,28 +62,27 @@ impl Day10 {
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}
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fn run(&mut self, time_step: i32) {
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for ((x, y), (dx, dy)) in self.points.iter_mut().zip(self.speeds.iter()) {
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for (x, dx) in self.points.iter_mut().zip(self.speeds.iter()) {
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*x += dx * time_step;
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*y += dy * time_step;
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}
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}
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fn height(&self) -> i32 {
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match self.points.iter().map(|&(_, y)| y).minmax() {
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match self.points.iter().skip(1).step(2).minmax() {
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MinMaxResult::MinMax(x, y) => { y - x + 1 }
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_ => panic!("Input does not make sense."),
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}
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}
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fn underestimate_time(&self) -> i32 {
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let (lower, upper) = match self.points.iter().enumerate().minmax_by_key(|(_, (_1, y))| y) {
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MinMaxResult::MinMax((x, (_, _)), (y, (_, _))) => (x, y),
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let (lower, upper) = match self.points.iter().enumerate().skip(1).step(2).minmax_by_key(|&(_, y)| y) {
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MinMaxResult::MinMax((x, _), (y, _)) => (x, y),
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_ => panic!("Input does not make sense"),
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};
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// Letters are probably less than 100 in height
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let dist = self.points[upper].1 - self.points[lower].1 - 100;
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let speed = self.speeds[lower].1 - self.speeds[upper].1;
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let dist = self.points[upper] - self.points[lower] - 100;
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let speed = self.speeds[lower] - self.speeds[upper];
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dist.checked_div(speed).unwrap_or(1).max(1)
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}
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