Move: bit madness
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31e88e3313
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afa80ac597
@ -29,7 +29,7 @@ pub fn run() {
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children_eval_method: ChildrenEvalMethod::AverageDivDepth,
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};
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let configs = [6]
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let configs = [4, 6, 7]
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.into_iter()
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.map(move |d| FutureMoveConfig {
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max_depth: d,
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@ -41,9 +41,9 @@ pub fn run() {
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})
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.filter(move |move_c| {
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if move_c.do_prune {
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move_c.max_depth >= 8
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move_c.max_depth >= 7
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} else {
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move_c.max_depth < 8
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move_c.max_depth < 7
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}
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})
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// .flat_map(move |prev_c| {
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@ -104,7 +104,9 @@ impl FutureMoves {
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// we want to select all nodes that don't have children, or are lazy (need to maybe be regenerated)
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.filter(|&idx| {
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let got = &self.arena[idx];
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!got.is_trimmed && !got.tried_children && got.winner == Winner::None
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!got.data.get_trimmed()
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&& !got.data.get_tried_children()
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&& got.data.get_winner() == Winner::None
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})
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.filter(|&idx| self.is_connected_to_root(idx))
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.collect::<Vec<usize>>();
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@ -150,7 +152,7 @@ impl FutureMoves {
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.progress_with_style(ProgressStyle::with_template(pstyle_inner).unwrap())
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.try_for_each(|node_idx| {
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self.generate_children(node_idx);
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self.arena[node_idx].tried_children = true;
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self.arena[node_idx].data.set_tried_children(true);
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if self.arena_len() >= self.config.max_arena_size {
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ControlFlow::Break(())
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@ -199,7 +201,7 @@ impl FutureMoves {
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fn generate_children(&mut self, parent_idx: usize) {
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let parent = &self.arena[parent_idx];
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let new_color = !parent.color;
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let new_color = !parent.data.get_piece();
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let parent_board = self
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.get_board_from_idx(parent_idx)
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.expect("unable to get board");
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@ -314,7 +316,7 @@ impl FutureMoves {
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}
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let n = &self.arena[parent_idx];
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hist.push((n.coord, n.color));
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hist.push((n.coord, n.data.get_piece()));
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current = n.parent;
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}
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hist.reverse();
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@ -355,7 +357,8 @@ impl FutureMoves {
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})
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.inspect(|&&x| {
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assert_eq!(
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self.arena[x].color, self.agent_color,
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self.arena[x].data.get_piece(),
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self.agent_color,
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"selected move color should be the same as the color of the agent"
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);
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})
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@ -371,7 +374,7 @@ impl FutureMoves {
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// match the agent_color usually root or great-grand child
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.filter(|&idx| self.depth_of(idx) % 2 == 0)
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.find(|&idx| {
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self.arena[idx].color == !self.agent_color
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self.arena[idx].data.get_piece() == !self.agent_color
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&& self.get_board_from_idx(idx).as_ref() == Some(board)
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});
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@ -470,16 +473,16 @@ impl FutureMoves {
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}
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// only prune moves of the agent
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if indexes.first().map(|&i| self.arena[i].color) != Some(self.agent_color) {
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if indexes.first().map(|&i| self.arena[i].data.get_piece()) != Some(self.agent_color) {
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continue;
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}
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for idx in indexes {
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let mut m = self.arena[idx].clone();
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if m.is_trimmed {
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if m.data.get_trimmed() {
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continue;
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}
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m.is_trimmed = true;
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m.data.set_trimmed(true);
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m.sort_children(&self.arena);
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if m.children.len() > self.config.top_k_children {
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let drained = m.children.drain(self.config.top_k_children..);
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@ -7,29 +7,67 @@ pub struct Move {
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/// Coordinates (i, j) of the move (if it exists)
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pub coord: Option<CoordPair>,
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/// Current winner of the match
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pub winner: Winner,
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/// Index of this move's parent
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pub parent: Option<usize>,
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/// Indices of this Move's Children
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pub children: Vec<usize>,
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/// Has this [`Move`] already attempted to create children?
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pub tried_children: bool,
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/// Value of this move (including children)
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pub value: Option<i32>,
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/// What is the inherit value of this move (not including children)
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pub self_value: i16,
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/// Which color made a move on this move?
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pub color: Piece,
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pub data: MoveData,
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}
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/// Was this move's children previously trimmed?
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pub is_trimmed: bool,
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#[derive(Clone, Debug, Copy)]
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pub struct MoveData(u8);
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impl MoveData {
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const WINNER_LOC: usize = 0; // uses 2 bits
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pub const fn set_winner(&mut self, winner: Winner) {
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self.0 &= !(0b11 << Self::WINNER_LOC);
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self.0 |= winner.raw() << Self::WINNER_LOC;
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}
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pub const fn get_winner(&self) -> Winner {
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Winner::from_raw(((self.0 >> Self::WINNER_LOC) & 0b11) as u8)
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}
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const PIECE_LOC: usize = 2;
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pub const fn set_piece(&mut self, piece: Piece) {
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self.0 &= !(0b1 << Self::PIECE_LOC);
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self.0 |= (unsafe { std::mem::transmute::<Piece, u8>(piece) }) << Self::PIECE_LOC;
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}
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pub const fn get_piece(&self) -> Piece {
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unsafe { std::mem::transmute(((self.0 >> Self::PIECE_LOC) & 0b1) as u8) }
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}
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const TRIMMED_LOC: usize = 3;
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pub const fn set_trimmed(&mut self, trimmed: bool) {
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self.0 &= !(0b1 << Self::TRIMMED_LOC);
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self.0 |= (trimmed as u8) << Self::TRIMMED_LOC;
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}
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pub const fn get_trimmed(&self) -> bool {
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((self.0 >> Self::TRIMMED_LOC) & 0b1) != 0
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}
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const TRIED_CHILDREN_LOC: usize = 4;
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pub const fn set_tried_children(&mut self, tried_children: bool) {
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self.0 &= !(0b1 << Self::TRIED_CHILDREN_LOC);
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self.0 |= (tried_children as u8) << Self::TRIED_CHILDREN_LOC;
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}
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pub const fn get_tried_children(&self) -> bool {
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((self.0 >> Self::TRIED_CHILDREN_LOC) & 0b1) != 0
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}
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}
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static BVM: LazyLock<BoardValueMap> = LazyLock::new(BoardValueMap::new);
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@ -38,26 +76,28 @@ impl Move {
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pub fn new(coord: Option<CoordPair>, board: Board, color: Piece, agent_color: Piece) -> Self {
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let mut m = Move {
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coord,
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winner: board.game_winner(),
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parent: None,
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children: Vec::new(),
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value: None,
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color,
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is_trimmed: false,
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self_value: 0,
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tried_children: false,
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data: MoveData(0),
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};
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let winner = board.game_winner();
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m.data.set_winner(winner);
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m.data.set_piece(color);
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m.data.set_trimmed(false);
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m.data.set_tried_children(false);
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m.self_value = m.compute_self_value(agent_color, &board);
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m
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}
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fn compute_self_value(&self, agent_color: Piece, board: &Board) -> i16 {
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if self.winner == Winner::Player(!agent_color) {
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if self.data.get_winner() == Winner::Player(!agent_color) {
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// if this board results in the opponent winning, MAJORLY negatively weigh this move
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// NOTE! this branch isn't completely deleted because if so, the bot wouldn't make a move.
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// We shouldn't prune branches because we still need to always react to the opponent's moves
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return i16::MIN + 1;
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} else if self.winner == Winner::Player(agent_color) {
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} else if self.data.get_winner() == Winner::Player(agent_color) {
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// results in a win for the agent
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return i16::MAX - 1;
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}
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@ -78,3 +118,32 @@ impl Move {
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});
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}
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}
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#[cfg(test)]
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mod test {
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use super::*;
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#[test]
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fn move_data_winner() {
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let mut m = MoveData(0);
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macro_rules! test_winner {
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($winner:expr) => {
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m.set_winner($winner);
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assert_eq!(m.get_winner(), $winner);
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};
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}
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test_winner!(Winner::Player(Piece::Black));
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test_winner!(Winner::Player(Piece::White));
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test_winner!(Winner::Tie);
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test_winner!(Winner::None);
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}
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#[test]
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fn move_data_trimmed() {
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let mut m = MoveData(0);
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m.set_trimmed(false);
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assert!(!m.get_trimmed());
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m.set_trimmed(true);
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assert!(m.get_trimmed());
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}
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}
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@ -12,8 +12,8 @@ pub mod repr;
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// TODO! make this agent configuration a config option via `clap-rs`
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fn main() {
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// elo::run();
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// return;
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elo::run();
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return;
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let player1 = complexagent::ComplexAgent::new(
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Piece::Black,
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FutureMoveConfig {
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@ -46,6 +46,16 @@ pub enum Winner {
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None,
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}
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impl Winner {
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pub const fn raw(self) -> u8 {
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unsafe { std::mem::transmute(self) }
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}
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pub const fn from_raw(value: u8) -> Self {
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unsafe { std::mem::transmute(value) }
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}
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}
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macro_rules! get_board {
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// Immutable static access
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($self:expr, Piece::White) => {
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@ -539,4 +549,17 @@ mod test {
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assert_eq!(board.get((6, 0).into()), Some(Piece::Black), "\n{}", board);
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}
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#[test]
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fn winner_repr() {
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assert_eq!(Winner::Player(Piece::Black).raw(), 0b00);
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assert_eq!(Winner::Player(Piece::White).raw(), 0b01);
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assert_eq!(Winner::Tie.raw(), 0b10);
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assert_eq!(Winner::None.raw(), 0b11);
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assert_eq!(Winner::from_raw(0b00), Winner::Player(Piece::Black));
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assert_eq!(Winner::from_raw(0b01), Winner::Player(Piece::White));
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assert_eq!(Winner::from_raw(0b10), Winner::Tie);
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assert_eq!(Winner::from_raw(0b11), Winner::None);
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}
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}
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