added benchmark
This commit is contained in:
WanderingPenwing
parent
2f3555b303
commit
9dd739ffcc
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@ -21,6 +21,10 @@ struct Args {
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#[arg(long)]
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limit: Option<usize>, // Optional value
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/// Solve n times and averages the results
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#[arg(long)]
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benchmark: Option<usize>, // Optional value
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/// Disable randomization of the collapse
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#[arg(long)]
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norand: bool,
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@ -45,6 +49,10 @@ fn main() {
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solver.random_mode(!args.norand);
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solver.grid_display_mode(args.grid);
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if let Some(number) = args.benchmark {
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solver.benchmark(number);
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return
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}
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if let Err(reason) = solver.solve(args.limit) {
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println!("{}", reason);
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if args.debug {
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@ -57,10 +57,6 @@ impl Cell {
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}
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}
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pub fn get_state(&self) -> Option<usize> {
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self.state
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}
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pub fn get_allowed(&self) -> Vec<usize> {
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self.blocking_states
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.iter()
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@ -1,5 +1,7 @@
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use std::collections::HashSet;
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use std::time::Instant;
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use std::time::Duration;
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use std::ops::MulAssign;
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use std::fmt;
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pub mod sudoku;
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@ -14,7 +16,7 @@ pub enum WaveError {
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impl fmt::Display for WaveError {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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match self {
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WaveError::Contradiction => write!(f, "Error: The puzzle contradicts itself."),
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WaveError::Contradiction => write!(f, "Error: There is a contradiction in the puzzle."),
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WaveError::NoHistory => write!(f, "Error: The puzzle is impossible (backtracked to start)."),
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}
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}
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@ -33,6 +35,77 @@ impl fmt::Display for Step {
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}
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}
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pub struct SolveResult {
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total_time: Duration,
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propagation: (usize, Duration),
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collapse: (usize, Duration),
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backtrack: (usize, Duration),
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}
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impl fmt::Display for SolveResult {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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let propagation_percentage = (self.propagation.1.as_secs_f64() / self.total_time.as_secs_f64()) * 100.0;
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let collapse_percentage = (self.collapse.1.as_secs_f64() / self.total_time.as_secs_f64()) * 100.0;
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let backtrack_percentage = (self.backtrack.1.as_secs_f64() / self.total_time.as_secs_f64()) * 100.0;
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write!(f, "# total time : {:.2?} ({:.2?}% propagation, {:.2?}% forced collapse, {:.2?}% backtrack)\n- {} propagations ({:.2?}), {} forced collapse ({:.2?}), {} backtrack ({:.2?})",
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self.total_time, propagation_percentage, collapse_percentage, backtrack_percentage,
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self.propagation.0, (self.propagation.1.checked_div(self.propagation.0 as u32)).unwrap_or(std::time::Duration::ZERO),
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self.collapse.0, (self.collapse.1.checked_div(self.collapse.0 as u32)).unwrap_or(std::time::Duration::ZERO),
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self.backtrack.0, (self.backtrack.1.checked_div(self.backtrack.0 as u32)).unwrap_or(std::time::Duration::ZERO)
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)
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}
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}
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impl std::ops::AddAssign for SolveResult {
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fn add_assign(&mut self, other: Self) {
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self.total_time += other.total_time;
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self.propagation.0 += other.propagation.0;
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self.propagation.1 += other.propagation.1;
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self.collapse.0 += other.collapse.0;
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self.collapse.1 += other.collapse.1;
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self.backtrack.0 += other.backtrack.0;
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self.backtrack.1 += other.backtrack.1;
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}
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}
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impl MulAssign<f32> for SolveResult {
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fn mul_assign(&mut self, factor: f32) {
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// Scale the durations
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self.total_time = scale_duration(self.total_time, factor);
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self.propagation.1 = scale_duration(self.propagation.1, factor);
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self.collapse.1 = scale_duration(self.collapse.1, factor);
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self.backtrack.1 = scale_duration(self.backtrack.1, factor);
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// Scale the usize counts (rounded to nearest integer)
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self.propagation.0 = scale_usize(self.propagation.0, factor);
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self.collapse.0 = scale_usize(self.collapse.0, factor);
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self.backtrack.0 = scale_usize(self.backtrack.0, factor);
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}
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}
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impl Default for SolveResult {
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fn default() -> Self {
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Self {
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total_time: Duration::ZERO,
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propagation: (0, Duration::ZERO),
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collapse: (0, Duration::ZERO),
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backtrack: (0, Duration::ZERO),
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}
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}
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}
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// Helper to scale `Duration` by `f32`
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fn scale_duration(duration: Duration, factor: f32) -> Duration {
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let nanos = duration.as_secs_f64() * (factor as f64);
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Duration::from_secs_f64(nanos)
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}
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// Helper to scale `usize` by `f32`
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fn scale_usize(value: usize, factor: f32) -> usize {
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((value as f64) * (factor as f64)).round() as usize
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}
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pub struct Solver {
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grid: Vec<Vec<cell::Cell>>,
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history: Vec<Step>,
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@ -41,6 +114,7 @@ pub struct Solver {
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square_size: usize,
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debug_display: bool,
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grid_display: bool,
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benchmarking: bool,
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collapse_option: cell::CollapseOption,
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}
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@ -57,10 +131,19 @@ impl Solver {
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square_size: order,
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debug_display: false,
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grid_display: false,
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benchmarking: false,
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collapse_option: cell::CollapseOption::Random,
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}
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}
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fn reset_grid(&mut self) {
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let states = (1..=self.size).collect();
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let empty_grid = vec![vec![cell::Cell::new(states); self.size]; self.size];
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self.grid = empty_grid.clone();
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self.history = vec![];
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self.last_move_index = 0;
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}
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pub fn random_mode(&mut self, collapse_random: bool) {
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if collapse_random {
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self.collapse_option = cell::CollapseOption::Random;
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@ -69,14 +152,35 @@ impl Solver {
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}
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}
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pub fn solve(&mut self, solver_limit: Option<usize>) -> Result<(), WaveError> {
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pub fn benchmark(&mut self, solve_number: usize) {
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self.benchmarking = true;
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let mut results_sum: SolveResult = SolveResult::default();
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let mut error_number: usize = 0;
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for _ in 0..solve_number {
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println!();
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self.reset_grid();
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match self.solve(None) {
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Ok(result) => {
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results_sum += result;
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}
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Err(reason) => {
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println!("{}", reason);
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error_number += 1;
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}
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}
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}
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results_sum *= 1.0 / ((solve_number - error_number) as f32);
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println!("\n---------\n{}\n\n{} errors", results_sum, error_number);
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}
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pub fn solve(&mut self, solver_limit: Option<usize>) -> Result<SolveResult, WaveError> {
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let start_time = Instant::now();
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self.display(ui::DisplayMode::Full);
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let mut propagation_counter: (usize, std::time::Duration) = (0, std::time::Duration::ZERO);
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let mut collapse_counter: (usize, std::time::Duration) = (0, std::time::Duration::ZERO);
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let mut backtrack_counter: (usize, std::time::Duration) = (0, std::time::Duration::ZERO);
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println!("# started");
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self.debug("--------");
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while self.history.len() < self.size * self.size {
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@ -129,23 +233,18 @@ impl Solver {
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}
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}
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self.debug("--------");
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let total_elapsed = start_time.elapsed();
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let propagation_percentage = (propagation_counter.1.as_secs_f64() / total_elapsed.as_secs_f64()) * 100.0;
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let collapse_percentage = (collapse_counter.1.as_secs_f64() / total_elapsed.as_secs_f64()) * 100.0;
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let backtrack_percentage = (backtrack_counter.1.as_secs_f64() / total_elapsed.as_secs_f64()) * 100.0;
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println!("\n# finished in {:.2?} ({:.2?}% propagation, {:.2?}% forced collapse, {:.2?}% backtrack)",
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total_elapsed, propagation_percentage, collapse_percentage, backtrack_percentage
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);
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println!("- {} propagations ({:.2?}), {} forced collapse ({:.2?}), {} backtrack ({:.2?})",
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propagation_counter.0, (propagation_counter.1.checked_div(propagation_counter.0 as u32)).unwrap_or(std::time::Duration::ZERO),
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collapse_counter.0, (collapse_counter.1.checked_div(collapse_counter.0 as u32)).unwrap_or(std::time::Duration::ZERO),
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backtrack_counter.0, (backtrack_counter.1.checked_div(backtrack_counter.0 as u32)).unwrap_or(std::time::Duration::ZERO)
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);
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if !self.grid_display || self.debug_display {
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self.display(ui::DisplayMode::Full);
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}
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Ok(())
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let total_time = start_time.elapsed();
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let result = SolveResult {
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total_time,
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propagation : propagation_counter,
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collapse : collapse_counter,
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backtrack : backtrack_counter,
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};
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println!("\n{}", result);
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Ok(result)
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}
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fn collapse(&mut self) -> Result<(), WaveError> {
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@ -21,6 +21,9 @@ pub enum DisplayMode {
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impl Solver {
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pub fn display(&self, display_mode: DisplayMode) {
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if self.benchmarking {
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return
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}
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if let DisplayMode::Erase = display_mode {
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let height = self.size + self.square_size + 2;
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print!("\x1b[{}A", height);
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12
todo
Normal file
12
todo
Normal file
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@ -0,0 +1,12 @@
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benchmark 3 (n = 3000)
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# total time : 10.05ms (62.03% propagation, 37.31% forced collapse, 0.12% backtrack)
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- 78 propagations (79.96µs), 48 forced collapse (78.16µs), 0 backtrack (0.00ns)
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benchmark 4 (n = 300)
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# total time : 116.36ms (43.53% propagation, 56.03% forced collapse, 0.23% backtrack)
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- 265 propagations (191.13µs), 183 forced collapse (356.23µs), 4 backtrack (66.91µs)
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benchmark 5 (n = 100)
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# total time : 886.94ms (31.81% propagation, 67.66% forced collapse, 0.43% backtrack)
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- 743 propagations (379.77µs), 506 forced collapse (1.19ms), 27 backtrack (140.68µs)
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