Convert minimax to negamax and implement alpha-beta pruning
This commit is contained in:
@@ -6,6 +6,9 @@ use crate::{
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evaluation::psqt::{mirror_index, piece_square_score},
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};
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pub const MAX_EVAL: i32 = 100000;
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pub const MIN_EVAL: i32 = -100000;
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const fn piece_score(piece_type: PieceType) -> i32 {
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match piece_type {
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PieceType::Pawn => 100,
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@@ -17,7 +20,7 @@ const fn piece_score(piece_type: PieceType) -> i32 {
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}
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}
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fn evaluate_side(board: &Board, color: Color) -> i32 {
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fn evaluate_side_for(board: &Board, color: Color) -> i32 {
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let mut total_score = 0;
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let pieces = match color {
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Color::White => &board.white_pieces,
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@@ -42,23 +45,21 @@ fn evaluate_side(board: &Board, color: Color) -> i32 {
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total_score
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}
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pub fn evaluate_position(board: &Board, color: Color) -> i32 {
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let total_white_score = evaluate_side(board, Color::White);
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let total_black_score = evaluate_side(board, Color::Black);
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let evaluation = total_white_score - total_black_score;
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pub fn evaluate_position(board: &Board) -> i32 {
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let total_white_score = evaluate_side_for(board, Color::White);
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let total_black_score = evaluate_side_for(board, Color::Black);
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match color {
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Color::White => evaluation,
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Color::Black => -evaluation,
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}
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-(total_white_score - total_black_score)
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}
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#[cfg(test)]
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mod tests {
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use crate::{
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board::board::{Color, PieceType},
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board::fen::from_fen,
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evaluation::evaluation::{evaluate_position, evaluate_side, piece_score},
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board::{
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board::{Color, PieceType},
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fen::from_fen,
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},
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evaluation::evaluation::{evaluate_position, evaluate_side_for, piece_score},
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};
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const FEN_QUIET: [&str; 2] = [
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@@ -79,17 +80,17 @@ mod tests {
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}
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#[test]
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fn test_evaluate_side() -> Result<(), String> {
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fn test_evaluate_side_for() -> Result<(), String> {
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let game = from_fen(FEN_QUIET[0])?;
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assert_eq!(
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evaluate_side(&game.board, Color::White),
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evaluate_side(&game.board, Color::Black)
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evaluate_side_for(&game.board, Color::White),
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evaluate_side_for(&game.board, Color::Black)
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);
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let game_2 = from_fen(FEN_QUIET[1])?;
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let evaluate_white = evaluate_side(&game_2.board, Color::White);
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let evaluate_black = evaluate_side(&game_2.board, Color::Black);
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let evaluate_white = evaluate_side_for(&game_2.board, Color::White);
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let evaluate_black = evaluate_side_for(&game_2.board, Color::Black);
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assert_eq!(24005, evaluate_white);
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assert_eq!(23965, evaluate_black);
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@@ -102,14 +103,13 @@ mod tests {
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let game = from_fen(FEN_QUIET[0])?;
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assert_eq!(
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evaluate_position(&game.board, Color::White),
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evaluate_position(&game.board, Color::Black)
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evaluate_position(&game.board),
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evaluate_position(&game.board)
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);
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let game_2 = from_fen(FEN_QUIET[1])?;
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assert_eq!(40, evaluate_position(&game_2.board, Color::White));
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assert_eq!(-40, evaluate_position(&game_2.board, Color::Black));
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assert_eq!(-40, evaluate_position(&game_2.board));
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Ok(())
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}
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@@ -3,7 +3,12 @@ use std::{
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str::SplitWhitespace,
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};
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use crate::{board::game::Game, movegen::r#move::Move, search};
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use crate::{
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board::game::Game,
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evaluation::evaluation::{MAX_EVAL, MIN_EVAL},
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movegen::r#move::Move,
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search,
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};
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#[derive(PartialEq, Eq, Debug)]
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pub enum Command {
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@@ -132,11 +137,15 @@ pub fn uci_go(go: &mut SplitWhitespace, game: &mut Game) -> Result<Move, String>
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_ => (),
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}
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}
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Ok(
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search::minimax::minimax(game, params.depth.unwrap_or(MAX_DEPTH))
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.0
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.expect("No move selected"),
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Ok(search::negamax::negamax(
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game,
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MIN_EVAL,
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MAX_EVAL,
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params.depth.unwrap_or(MAX_DEPTH),
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0,
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)
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.0
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.expect("No move selected"))
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}
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pub fn uci_loop<R: BufRead, W: Write>(input: R, mut output: W) -> Result<(), String> {
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@@ -1,87 +0,0 @@
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use crate::{
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board::{
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board::Color,
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game::Game,
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history::{History, MoveParameters},
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},
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evaluation::evaluation::evaluate_position,
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movegen::r#move::Move,
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};
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pub fn minimax(game: &mut Game, depth: u8) -> (Option<Move>, i32) {
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let color = game.current_player();
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if depth == 0 {
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return (None, evaluate_position(&game.board, color));
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}
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let mut history = History::new();
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let mut best_move: Option<Move> = None;
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let (mut best_score, mate_score) = match color {
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Color::White => (-100000, -49000 - depth as i32),
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Color::Black => (100000, 49000 + depth as i32),
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};
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let moves = game.board.pseudo_moves_all(color);
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let mut legal_moves = 0;
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for mv in moves {
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history.push_move_parameters(MoveParameters::build(&game.board, &mv));
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game.board.make_move(&mv);
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if !game.board.king_under_check(color) {
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legal_moves += 1;
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let (_, node_score) = minimax(game, depth - 1);
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match color {
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Color::White => {
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if best_score < node_score {
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best_score = node_score;
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best_move = Some(mv);
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}
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}
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Color::Black => {
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if best_score > node_score {
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best_score = node_score;
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best_move = Some(mv);
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}
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}
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}
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}
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game.board
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.unmake_move(history.pop_move_parameters().expect("Empty history stack"));
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}
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if legal_moves == 0 {
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if game.board.king_under_check(color) {
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return (None, mate_score);
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} else {
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return (None, 0);
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}
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}
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(best_move, best_score)
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}
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#[cfg(test)]
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mod tests {
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use crate::board::{fen::from_fen, square::Square};
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use crate::movegen::attack::init_attacks;
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use crate::movegen::r#move::Move;
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use crate::search::minimax::minimax;
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const FEN_MATE_IN_1: &str = "8/8/8/8/8/4q1k1/8/5K2 b - - 0 1";
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#[test]
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fn test_minimax() -> Result<(), String> {
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init_attacks();
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let mut game = from_fen(FEN_MATE_IN_1)?;
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let e3f2 = Move::new(Square::E3, Square::F2);
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assert_eq!(e3f2, minimax(&mut game, 2).0.unwrap());
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assert_eq!(e3f2, minimax(&mut game, 3).0.unwrap());
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assert_eq!(e3f2, minimax(&mut game, 4).0.unwrap());
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assert_eq!(e3f2, minimax(&mut game, 5).0.unwrap());
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Ok(())
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}
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}
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@@ -1,2 +1,2 @@
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pub mod minimax;
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pub mod negamax;
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pub mod perft;
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94
src/search/negamax.rs
Normal file
94
src/search/negamax.rs
Normal file
@@ -0,0 +1,94 @@
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use crate::{
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board::{game::Game, history::MoveParameters},
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evaluation::evaluation::evaluate_position,
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movegen::r#move::Move,
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};
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pub fn negamax(
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game: &mut Game,
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mut alpha: i32,
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beta: i32,
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depth: u8,
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plies: u8,
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) -> (Option<Move>, i32) {
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let color = game.current_player();
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if depth == 0 {
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return (None, evaluate_position(&game.board));
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}
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let (mut best_move, mut best_score, mate_score) = (None, -100000, -50000 + plies as i32);
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let mut legal_moves = 0;
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for mv in game.board.pseudo_moves_all(color) {
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let move_parameters = MoveParameters::build(&game.board, &mv);
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game.board.make_move(&mv);
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if !game.board.king_under_check(color) {
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legal_moves += 1;
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let move_score = -negamax(game, -beta, -alpha, depth - 1, plies + 1).1;
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if move_score > best_score {
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best_score = move_score;
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best_move = Some(mv)
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}
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if move_score >= beta {
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game.board.unmake_move(move_parameters);
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return (Some(mv), beta); // fail hard beta-cutoff
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}
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if move_score > alpha {
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alpha = move_score; // alpha acts like max in minimax
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}
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}
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game.board.unmake_move(move_parameters);
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}
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if legal_moves == 0 {
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if game.board.king_under_check(color) {
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return (None, mate_score);
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} else {
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return (None, 0);
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}
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}
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(best_move, best_score)
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}
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#[cfg(test)]
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mod tests {
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use crate::board::{fen::from_fen, square::Square};
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use crate::evaluation::evaluation::{MAX_EVAL, MIN_EVAL};
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use crate::movegen::attack::init_attacks;
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use crate::movegen::r#move::Move;
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use crate::search::negamax::negamax;
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const FEN_MATE_IN_1: &str = "8/8/8/8/8/4q1k1/8/5K2 b - - 0 1";
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#[test]
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fn test_negamax() -> Result<(), String> {
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init_attacks();
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let mut game = from_fen(FEN_MATE_IN_1)?;
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let e3f2 = Move::new(Square::E3, Square::F2);
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assert_eq!(
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e3f2,
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negamax(&mut game, MIN_EVAL, MAX_EVAL, 2, 0).0.unwrap()
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);
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assert_eq!(
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e3f2,
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negamax(&mut game, MIN_EVAL, MAX_EVAL, 3, 0).0.unwrap()
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);
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assert_eq!(
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e3f2,
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negamax(&mut game, MIN_EVAL, MAX_EVAL, 4, 0).0.unwrap()
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);
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assert_eq!(
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e3f2,
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negamax(&mut game, MIN_EVAL, MAX_EVAL, 5, 0).0.unwrap()
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);
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Ok(())
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}
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}
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