1000 games

klondike-bench/src/main.rs

@@ -1,7 +1,9 @@
 use card_game::Game;
 use klondike::{Klondike, KlondikeConfig, KlondikeStats, Rng};
 
-fn play_to_win(rng: &mut Rng) -> bool {
+const MAX_MOVES: usize = 250;
+
+fn play_to_win(rng: &mut Rng) -> Option<KlondikeStats> {
 	// create game session
 	let mut game = Klondike::with_rng(rng);
 	let mut stats = KlondikeStats::new();
@@ -12,19 +14,33 @@ fn play_to_win(rng: &mut Rng) -> bool {
 	while let Some(instruction) = game.get_auto_move()
 		&& !game.is_win()
 	{
-		game.process_instruction(&mut stats, &CONFIG, instruction);
-
-		// quit after 250 moves
-		if 250 < stats.moves() {
-			return false;
+		// quit before 250 moves
+		if MAX_MOVES < stats.moves() + 1 {
+			return None;
 		}
+
+		game.process_instruction(&mut stats, &CONFIG, instruction);
 	}
-	game.is_win()
+	game.is_win().then_some(stats)
 }
 fn main() {
 	use rand::SeedableRng;
 	let mut rng = Rng::seed_from_u64(0);
-	const GAMES: u32 = 10000;
-	let wins: u32 = (0..GAMES).map(|_| play_to_win(&mut rng) as u32).sum();
+	const GAMES: u32 = 1000;
+	let mut wins = 0;
+	let mut score_tally = [0usize; MAX_MOVES * 10 / 5];
+	let mut recycle_tally = [0usize; MAX_MOVES];
+	let mut moves_tally = [0usize; MAX_MOVES];
+	for _ in 0..GAMES {
+		if let Some(stats) = play_to_win(&mut rng) {
+			wins += 1;
+			score_tally[stats.score() / 5] += 1;
+			recycle_tally[stats.recycle_count()] += 1;
+			moves_tally[stats.moves()] += 1;
+		}
+	}
+	println!("score_tally={score_tally:?}");
+	println!("recycle_tally={recycle_tally:?}");
+	println!("moves_tally={moves_tally:?}");
 	println!("wins = {wins}/{GAMES} win_rate = {}%", wins * 100 / GAMES);
 }