Duplicate search.c history.
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src/search.c-move-to-temp-migration-bitboard__search.c
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src/search.c-move-to-temp-migration-bitboard__search.c
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/* search.c - search good moves.
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*
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* Copyright (C) 2023 Bruno Raoult ("br")
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* Licensed under the GNU General Public License v3.0 or later.
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* Some rights reserved. See COPYING.
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*
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* You should have received a copy of the GNU General Public License along with this
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* program. If not, see <https://www.gnu.org/licenses/gpl-3.0-standalone.html>.
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*
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* SPDX-License-Identifier: GPL-3.0-or-later <https://spdx.org/licenses/GPL-3.0-or-later.html>
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*
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*/
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#include <br.h>
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#include <list.h>
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#include "debug.h"
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#include "move.h"
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#include "eval.h"
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#include "search.h"
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/**
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* negamax() - search position negamax.
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* @pos: &position to search
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* @depth: Wanted depth.
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* @color: 1 for white, -1 for black.
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*
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* Calculate the negamax value of @pos. This is an extensive search, with
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* absolutely no cutoff.
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*
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* @return: The @pos negamax evaluation.
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*/
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eval_t negamax(pos_t *pos, int depth, int color)
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{
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move_t *move;
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pos_t *newpos;
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eval_t best = EVAL_MIN, score;
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pos->node_count++;
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if (depth == 0) {
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moves_gen_all_nomoves(pos);
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score = eval(pos) * color;
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return score;
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}
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moves_gen_all(pos);
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list_for_each_entry(move, &pos->moves[pos->turn], list) {
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newpos = move_do(pos, move);
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score = -negamax(newpos, depth - 1, -color);
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pos->node_count += newpos->node_count;
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move->negamax = score;
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if (score > best) {
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best = score;
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pos->bestmove = move;
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}
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move_undo(newpos, move);
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}
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return best;
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}
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/**
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* pvs() - Principal Variation Search.
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* @pos: &position to search
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* @depth: wanted depth.
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* @alpha: alpha value.
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* @beta: beta value.
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* @color: 1 for white, -1 for black.
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*
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* Calculate the PVS value of @pos.
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* See https://en.wikipedia.org/wiki/Principal_variation_search
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*
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* Moves list should be first generated and evaluated/sorted.
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*
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* @return: The @pos PVS evaluation.
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*/
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eval_t pvs(pos_t *pos, int depth, int alpha, int beta, int color)
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{
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move_t *move;
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pos_t *newpos;
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eval_t score = EVAL_INVALID;
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bool firstchild = true;
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pos->node_count++;
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if (depth == 0) {
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//return quiesce(p, alpha, beta); /* leaf node */
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moves_gen_all_nomoves(pos);
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score = eval(pos) * color;
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log_f(2, "Terminal: depth=%d ", depth);
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log_f(2, "score=%d alpha=%d beta=%d\n", score, alpha, beta);
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return score;
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}
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moves_gen_all(pos);
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//moves_print(pos, M_PR_EVAL);
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/* do the full search for first child */
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//move = list_first_entry_or_null(&pos->moves[pos->turn], move_t, list);
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list_for_each_entry(move, &pos->moves[pos->turn], list) {
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newpos = move_do(pos, move);
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log(2, "%.*s", 5 - depth, " ");
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if (firstchild) { /* first child */
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score = -pvs(newpos, depth - 1, -beta, -alpha, -color);
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log_f(2, "First child depth=%d move=", depth);
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//move_print(0, move, 0);
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log(2, "score=%d alpha=%d beta=%d\n", score, alpha, beta);
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pos->bestmove = move;
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} else {
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/* search with a null window */
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score = -pvs(newpos, depth - 1, -alpha - 1, -alpha, -color);
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log_f(2, "Other child depth=%d move=", depth);
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//move_print(0, move, 0);
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log_f(2, "score=%d alpha=%d beta=%d ", score, alpha, beta);
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/* for fail-soft: if (score > alpha && score < beta) */
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if (score > alpha) {
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/* if failed high, do a full re-search */
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log_f(2, "doing full search.");
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score = -pvs(newpos, depth - 1, -beta, -alpha, -color);
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}
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log(2, "\n");
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}
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pos->node_count += newpos->node_count;
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move_undo(newpos, move);
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if (score >= beta) { /* fail-hard hard beta cut-off */
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log(2, "%.*s", 5 - depth, " ");
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log_f(2, "depth=%d score=%d alpha=%d beta=%d beta cut-off.\n",
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depth, score, alpha, beta);
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return beta;
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}
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if (score > alpha) {
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log(2, "%.*s", 5 - depth, " ");
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log_f(2, "depth=%d setting new alpha from %d to %d\n",
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depth, alpha, score);
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alpha = score;
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pos->bestmove = move;
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}
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move->pos = NULL;
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move->negamax = score;
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firstchild = false;
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}
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return alpha;
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}
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/*
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* int negascout (pos_t *pos, int depth, int alpha, int beta )
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* { /\* compute minimax value of position p *\/
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* move_t *move;
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* pos_t *newpos;
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* eval_t best = EVAL_MIN, score;
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*
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* int a, b, t, i;
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*
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* if (depth == 0) {
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* //return quiesce(p, alpha, beta); /\* leaf node *\/
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* moves_gen_all_nomoves(pos);
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* score = eval(pos) * color;
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* return score;
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* }
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* moves_gen_all(pos);
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* a = alpha;
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* b = beta;
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* list_for_each_entry(move, &pos->moves[pos->turn], list) {
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* log(1, "%.*s", 5 - depth, " ");
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* newpos = move_do(pos, move);
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* // for ( i = 1; i <= w; i++ ) {
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* t = -negascout (newpos, depth - 1, -b, -alpha);
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* if ( (t > a) && (t < beta) && (i > 1) )
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* t = -NegaScout ( p_i, -beta, -alpha ); /\* re-search *\/
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* alpha = max( alpha, t );
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* if ( alpha >= beta )
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* return alpha; /\* cut-off *\/
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* b = alpha + 1; /\* set new null window *\/
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* }
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* return alpha;
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* }
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*/
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/*
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* int quiesce(pos_t *pos, int alpha, int beta)
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* {
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* int stand_pat = eval(pos);
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*
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* if( stand_pat >= beta )
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* return beta;
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* if( alpha < stand_pat )
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* alpha = stand_pat;
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*
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* /\*
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* * until( every_capture_has_been_examined ) {
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* * MakeCapture();
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* * score = -Quiesce( -beta, -alpha );
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* * TakeBackMove();
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* *
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* * if( score >= beta )
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* * return beta;
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* * if( score > alpha )
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* * alpha = score;
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* * }
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* *\/
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* return alpha;
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* }
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*/
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/**
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* ab_negamax() - search position negamax with alpha-beta cutoff.
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* @pos: &position to search
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* @depth: Wanted depth.
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* @color: 1 for white, -1 for black.
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*
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* Calculate the negamax value of @pos, with alpha-beta pruning.
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*
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* @return: The @pos negamax evaluation.
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*/
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/*int ab_negamax(pos_t *pos, int alpha, int beta, int depth)
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{
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move_t *move;
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pos_t *newpos;
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eval_t best = EVAL_MIN, score;
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if(depth == 0) {
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//return quiesce( alpha, beta );
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moves_gen_all_nomoves(pos);
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score = eval(pos) * color;
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return score;
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}
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for ( all moves) {
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score = -alphaBeta( -beta, -alpha, depthleft - 1 );
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if( score >= beta )
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return beta; // fail hard beta-cutoff
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if( score > alpha )
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alpha = score; // alpha acts like max in MiniMax
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}
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return alpha;
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}
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*/
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