};
- // RootMove struct is used for moves at the root at the tree. For each
- // root move, we store a score, a node count, and a PV (really a refutation
- // in the case of moves which fail low).
+ // RootMove struct is used for moves at the root at the tree. For each root
+ // move, we store two scores, a node count, and a PV (really a refutation
+ // in the case of moves which fail low). Value pvScore is normally set at
+ // -VALUE_INFINITE for all non-pv moves, while nonPvScore is computed
+ // according to the order in which moves are returned by MovePicker.
struct RootMove {
- RootMove() : mp_score(0), nodes(0) {}
+ RootMove() : nodes(0) { pvScore = nonPvScore = -VALUE_INFINITE; }
// RootMove::operator<() is the comparison function used when
// sorting the moves. A move m1 is considered to be better
- // than a move m2 if it has a higher score, or if the moves
- // have equal score but m1 has the higher beta cut-off count.
+ // than a move m2 if it has an higher pvScore, or if it has
+ // equal pvScore but m1 has the higher nonPvScore. In this way
+ // we are guaranteed that PV moves are always sorted as first.
bool operator<(const RootMove& m) const {
-
- return score != m.score ? score < m.score : mp_score <= m.mp_score;
+ return pvScore != m.pvScore ? pvScore < m.pvScore : nonPvScore <= m.nonPvScore;
}
Move move;
- Value score;
- int mp_score;
+ Value pvScore;
+ Value nonPvScore;
int64_t nodes;
Move pv[PLY_MAX_PLUS_2];
};
Move move(int moveNum) const { return moves[moveNum].move; }
Move move_pv(int moveNum, int i) const { return moves[moveNum].pv[i]; }
- int move_count() const { return count; }
- Value move_score(int moveNum) const { return moves[moveNum].score; }
- int64_t move_nodes(int moveNum) const { return moves[moveNum].nodes; }
- void add_move_nodes(int moveNum, int64_t nodes) { moves[moveNum].nodes += nodes; }
- void set_move_score(int moveNum, Value score) { moves[moveNum].score = score; }
-
- void set_move_pv(int moveNum, const Move pv[]);
- void score_moves(const Position& pos);
+ int size() const { return count; }
+ Value pv_score(int moveNum) const { return moves[moveNum].pvScore; }
+ int64_t nodes(int moveNum) const { return moves[moveNum].nodes; }
+ void add_nodes(int moveNum, int64_t n) { moves[moveNum].nodes += n; }
+ void set_pv_score(int moveNum, Value v) { moves[moveNum].pvScore = v; }
+
+ void set_pv(int moveNum, const Move pv[]);
+ void set_non_pv_scores(const Position& pos);
void sort();
void sort_multipv(int n);
RootMoveList rml(pos, searchMoves);
// Handle special case of searching on a mate/stale position
- if (rml.move_count() == 0)
+ if (rml.size() == 0)
{
if (PonderSearch)
wait_for_stop_or_ponderhit();
cout << set960(pos.is_chess960()) // Is enough to set once at the beginning
<< "info depth " << 1
<< "\ninfo depth " << 1
- << " score " << value_to_uci(rml.move_score(0))
+ << " score " << value_to_uci(rml.pv_score(0))
<< " time " << current_search_time()
<< " nodes " << pos.nodes_searched()
<< " nps " << nps(pos)
H.clear();
init_ss_array(ss, PLY_MAX_PLUS_2);
pv[0] = pv[1] = MOVE_NONE;
- ValueByIteration[1] = rml.move_score(0);
+ ValueByIteration[1] = rml.pv_score(0);
Iteration = 1;
// Is one move significantly better than others after initial scoring ?
- if ( rml.move_count() == 1
- || rml.move_score(0) > rml.move_score(1) + EasyMoveMargin)
+ if ( rml.size() == 1
+ || rml.pv_score(0) > rml.pv_score(1) + EasyMoveMargin)
EasyMove = rml.move(0);
// Iterative deepening loop
// Stop search early if there is only a single legal move,
// we search up to Iteration 6 anyway to get a proper score.
- if (Iteration >= 6 && rml.move_count() == 1)
+ if (Iteration >= 6 && rml.size() == 1)
stopSearch = true;
// Stop search early when the last two iterations returned a mate score
// Stop search early if one move seems to be much better than the others
if ( Iteration >= 8
&& EasyMove == pv[0]
- && ( ( rml.move_nodes(0) > (pos.nodes_searched() * 85) / 100
+ && ( ( rml.nodes(0) > (pos.nodes_searched() * 85) / 100
&& current_search_time() > TimeMgr.available_time() / 16)
- ||( rml.move_nodes(0) > (pos.nodes_searched() * 98) / 100
+ ||( rml.nodes(0) > (pos.nodes_searched() * 98) / 100
&& current_search_time() > TimeMgr.available_time() / 32)))
stopSearch = true;
<< move_to_san(pos, pv[1]) // Works also with MOVE_NONE
<< endl;
}
- return rml.move_score(0);
+ return rml.pv_score(0);
}
while (1)
{
// Sort the moves before to (re)search
- rml.score_moves(pos);
+ rml.set_non_pv_scores(pos);
rml.sort();
// Step 10. Loop through all moves in the root move list
- for (int i = 0; i < rml.move_count() && !AbortSearch; i++)
+ for (int i = 0; i < rml.size() && !AbortSearch; i++)
{
// This is used by time management
FirstRootMove = (i == 0);
// Step extra. Fail high loop
// If move fails high, we research with bigger window until we are not failing
// high anymore.
- value = - VALUE_INFINITE;
+ value = -VALUE_INFINITE;
while (1)
{
// We are failing high and going to do a research. It's important to update
// the score before research in case we run out of time while researching.
- rml.set_move_score(i, value);
+ rml.set_pv_score(i, value);
ss->bestMove = move;
extract_pv_from_tt(pos, move, pv);
- rml.set_move_pv(i, pv);
+ rml.set_pv(i, pv);
// Print information to the standard output
print_pv_info(pos, pv, alpha, beta, value);
break;
// Remember searched nodes counts for this move
- rml.add_move_nodes(i, pos.nodes_searched() - nodes);
+ rml.add_nodes(i, pos.nodes_searched() - nodes);
assert(value >= -VALUE_INFINITE && value <= VALUE_INFINITE);
assert(value < beta);
// Step 17. Check for new best move
if (value <= alpha && i >= MultiPV)
- rml.set_move_score(i, -VALUE_INFINITE);
+ rml.set_pv_score(i, -VALUE_INFINITE);
else
{
// PV move or new best move!
// Update PV
- rml.set_move_score(i, value);
+ rml.set_pv_score(i, value);
ss->bestMove = move;
extract_pv_from_tt(pos, move, pv);
- rml.set_move_pv(i, pv);
+ rml.set_pv(i, pv);
if (MultiPV == 1)
{
else // MultiPV > 1
{
rml.sort_multipv(i);
- for (int j = 0; j < Min(MultiPV, rml.move_count()); j++)
+ for (int j = 0; j < Min(MultiPV, rml.size()); j++)
{
cout << "info multipv " << j + 1
- << " score " << value_to_uci(rml.move_score(j))
+ << " score " << value_to_uci(rml.pv_score(j))
<< " depth " << (j <= i ? Iteration : Iteration - 1)
<< " time " << current_search_time()
<< " nodes " << pos.nodes_searched()
cout << endl;
}
- alpha = rml.move_score(Min(i, MultiPV - 1));
+ alpha = rml.pv_score(Min(i, MultiPV - 1));
}
} // PV move or new best move
moves[count].move = ss[0].currentMove = moves[count].pv[0] = cur->move;
moves[count].pv[1] = MOVE_NONE;
pos.do_move(cur->move, st);
- moves[count].score = -qsearch<PV>(pos, ss+1, -VALUE_INFINITE, VALUE_INFINITE, DEPTH_ZERO, 1);
+ moves[count].pvScore = -qsearch<PV>(pos, ss+1, -VALUE_INFINITE, VALUE_INFINITE, DEPTH_ZERO, 1);
pos.undo_move(cur->move);
count++;
}
// Score root moves using the standard way used in main search, the moves
// are scored according to the order in which are returned by MovePicker.
+ // This is the second order score that is used to compare the moves when
+ // the first order pv scores of both moves are equal.
- void RootMoveList::score_moves(const Position& pos)
+ void RootMoveList::set_non_pv_scores(const Position& pos)
{
Move move;
- int score = 1000;
+ Value score = VALUE_ZERO;
MovePicker mp(pos, MOVE_NONE, ONE_PLY, H);
while ((move = mp.get_next_move()) != MOVE_NONE)
for (int i = 0; i < count; i++)
if (moves[i].move == move)
{
- moves[i].mp_score = score--;
+ moves[i].nonPvScore = score--;
break;
}
}
// RootMoveList simple methods definitions
- void RootMoveList::set_move_pv(int moveNum, const Move pv[]) {
+ void RootMoveList::set_pv(int moveNum, const Move pv[]) {
int j;