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| 1 | +using System; |
| 2 | +using System.Collections.Generic; |
| 3 | +using System.Linq; |
| 4 | +using System.Text; |
| 5 | +using System.Threading.Tasks; |
| 6 | + |
| 7 | +namespace NoraGrace.Engine.Evaluation |
| 8 | +{ |
| 9 | + public class Lazy |
| 10 | + { |
| 11 | + public static int EvalFor(SearchData sdata, int ply, Board board, Player player, out EvalResults info, int alpha, int beta) |
| 12 | + { |
| 13 | + System.Diagnostics.Debug.Assert(alpha >= Evaluator.MinValue); |
| 14 | + System.Diagnostics.Debug.Assert(beta <= Evaluator.MaxValue); |
| 15 | + |
| 16 | + if (player == Player.White) |
| 17 | + { |
| 18 | + return Eval(sdata, ply, board, out info, alpha, beta); |
| 19 | + } |
| 20 | + else |
| 21 | + { |
| 22 | + return -Eval(sdata, ply, board, out info, -beta, -alpha); |
| 23 | + } |
| 24 | + } |
| 25 | + |
| 26 | + public static int Eval(SearchData sdata, int ply, Board board, out EvalResults info, int alpha, int beta) |
| 27 | + { |
| 28 | + System.Diagnostics.Debug.Assert(alpha >= Evaluator.MinValue); |
| 29 | + System.Diagnostics.Debug.Assert(beta <= Evaluator.MaxValue); |
| 30 | + |
| 31 | + info = sdata[ply].EvalResults; |
| 32 | + |
| 33 | + |
| 34 | + //check to see if we already have evaluated. |
| 35 | + if (board.ZobristBoard == info.Zobrist) |
| 36 | + { |
| 37 | + if (info.LazyAge == 0) { return info.Score; } |
| 38 | + if (info.LazyHigh < alpha) |
| 39 | + { |
| 40 | + return info.LazyHigh; |
| 41 | + } |
| 42 | + else if (info.LazyLow > beta) |
| 43 | + { |
| 44 | + return info.LazyLow; |
| 45 | + } |
| 46 | + } |
| 47 | + |
| 48 | + |
| 49 | + EvalResults prev = null; |
| 50 | + if (ply > 0) |
| 51 | + { |
| 52 | + prev = sdata[ply - 1].EvalResults; |
| 53 | + if (prev.Zobrist != board.ZobristPrevious) |
| 54 | + { |
| 55 | + prev = null; |
| 56 | + } |
| 57 | + } |
| 58 | + |
| 59 | + return EvalLazy(sdata.Evaluator, board, info, prev, alpha, beta); |
| 60 | + |
| 61 | + } |
| 62 | + |
| 63 | + private static int EvalLazy(Evaluator evaluator, Board board, EvalResults evalInfo, EvalResults prevEvalInfo, int alpha, int beta) |
| 64 | + { |
| 65 | + System.Diagnostics.Debug.Assert(alpha >= Evaluator.MinValue); |
| 66 | + System.Diagnostics.Debug.Assert(beta <= Evaluator.MaxValue); |
| 67 | + |
| 68 | + evalInfo.Reset(); |
| 69 | + |
| 70 | + |
| 71 | + //material |
| 72 | + MaterialResults material = evaluator._evalMaterial.EvalMaterialHash(board); |
| 73 | + |
| 74 | + //pawns |
| 75 | + PawnResults pawns = evaluator._evalPawns.PawnEval(board); |
| 76 | + System.Diagnostics.Debug.Assert(pawns.WhitePawns == (board[PieceType.Pawn] & board[Player.White])); |
| 77 | + System.Diagnostics.Debug.Assert(pawns.BlackPawns == (board[PieceType.Pawn] & board[Player.Black])); |
| 78 | + |
| 79 | + |
| 80 | + evalInfo.MaterialPawnsApply(board, material, pawns, evaluator.DrawScore); |
| 81 | + |
| 82 | + if (prevEvalInfo != null && evalInfo.PassedPawns == prevEvalInfo.PassedPawns) |
| 83 | + { |
| 84 | + evalInfo.ApplyPreviousEval(board, prevEvalInfo); |
| 85 | + System.Diagnostics.Debug.Assert(evalInfo.LazyAge > 0); |
| 86 | + |
| 87 | + int fuzzyLazyScore = evalInfo.Score; |
| 88 | + int margin = evalInfo.LazyAge * 50; |
| 89 | + if (fuzzyLazyScore + margin < alpha) |
| 90 | + { |
| 91 | + return alpha; |
| 92 | + } |
| 93 | + if (fuzzyLazyScore - margin > beta) |
| 94 | + { |
| 95 | + return beta; |
| 96 | + } |
| 97 | + } |
| 98 | + |
| 99 | + evaluator.EvalAdvanced(board, evalInfo, material, pawns); |
| 100 | + |
| 101 | + return evalInfo.Score; |
| 102 | + } |
| 103 | + |
| 104 | + |
| 105 | + } |
| 106 | +} |
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