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58c6e64)
We have a small functionality change in case we have a
fail-high so that both rml[].pv and pv[] are updated, but if,
after researching, we have a fail-low then rml score is updated
again but pv[] remains the same and coming back from search we
used a PV line that has failed-low (after having failed-high).
With this patch we always use the 'correct' PV line, i.e. the
line with highest score at the end of the whole search.
Retire also redundant RootMove's 'move' member and directly
use pv[0] instead.
// way we are guaranteed that PV moves are always sorted as first.
bool operator<(const RootMove& m) const {
return pv_score != m.pv_score ? pv_score < m.pv_score
// way we are guaranteed that PV moves are always sorted as first.
bool operator<(const RootMove& m) const {
return pv_score != m.pv_score ? pv_score < m.pv_score
- : non_pv_score <= m.non_pv_score;
+ : non_pv_score < m.non_pv_score;
- void set_pv(const Move newPv[]);
int64_t nodes;
Value pv_score;
Value non_pv_score;
int64_t nodes;
Value pv_score;
Value non_pv_score;
Move pv[PLY_MAX_PLUS_2];
};
Move pv[PLY_MAX_PLUS_2];
};
nodes = 0;
pv_score = non_pv_score = -VALUE_INFINITE;
nodes = 0;
pv_score = non_pv_score = -VALUE_INFINITE;
- move = pv[0] = MOVE_NONE;
}
RootMove& RootMove::operator=(const RootMove& rm) {
}
RootMove& RootMove::operator=(const RootMove& rm) {
+ const Move* src = rm.pv;
+ Move* dst = pv;
+
+ // Avoid a costly full rm.pv[] copy
+ do *dst++ = *src; while (*src++ != MOVE_NONE);
+
nodes = rm.nodes;
pv_score = rm.pv_score;
non_pv_score = rm.non_pv_score;
nodes = rm.nodes;
pv_score = rm.pv_score;
non_pv_score = rm.non_pv_score;
- move = rm.move;
- set_pv(rm.pv); // Skip costly full pv[] copy
- void RootMove::set_pv(const Move newPv[]) {
-
- Move* p = pv;
-
- do *p++ = *newPv; while (*newPv++ != MOVE_NONE);
- }
-
// RootMoveList struct is essentially a std::vector<> of RootMove objects,
// with an handful of methods above the standard ones.
// RootMoveList struct is essentially a std::vector<> of RootMove objects,
// with an handful of methods above the standard ones.
/// Local functions
Value id_loop(Position& pos, Move searchMoves[]);
/// Local functions
Value id_loop(Position& pos, Move searchMoves[]);
- Value root_search(Position& pos, SearchStack* ss, Move* pv, RootMoveList& rml, Value* alphaPtr, Value* betaPtr);
+ Value root_search(Position& pos, SearchStack* ss, RootMoveList& rml, Value* alphaPtr, Value* betaPtr);
template <NodeType PvNode, bool SpNode>
Value search(Position& pos, SearchStack* ss, Value alpha, Value beta, Depth depth, int ply);
template <NodeType PvNode, bool SpNode>
Value search(Position& pos, SearchStack* ss, Value alpha, Value beta, Depth depth, int ply);
Value id_loop(Position& pos, Move searchMoves[]) {
SearchStack ss[PLY_MAX_PLUS_2];
Value id_loop(Position& pos, Move searchMoves[]) {
SearchStack ss[PLY_MAX_PLUS_2];
- Move pv[PLY_MAX_PLUS_2];
Move EasyMove = MOVE_NONE;
Value value, alpha = -VALUE_INFINITE, beta = VALUE_INFINITE;
Move EasyMove = MOVE_NONE;
Value value, alpha = -VALUE_INFINITE, beta = VALUE_INFINITE;
<< " time " << current_search_time()
<< " nodes " << pos.nodes_searched()
<< " nps " << nps(pos)
<< " time " << current_search_time()
<< " nodes " << pos.nodes_searched()
<< " nps " << nps(pos)
- << " pv " << rml[0].move << "\n";
+ << " pv " << rml[0].pv[0] << "\n";
// Initialize
TT.new_search();
H.clear();
init_ss_array(ss, PLY_MAX_PLUS_2);
// Initialize
TT.new_search();
H.clear();
init_ss_array(ss, PLY_MAX_PLUS_2);
- pv[0] = pv[1] = MOVE_NONE;
ValueByIteration[1] = rml[0].pv_score;
Iteration = 1;
// Is one move significantly better than others after initial scoring ?
if ( rml.size() == 1
|| rml[0].pv_score > rml[1].pv_score + EasyMoveMargin)
ValueByIteration[1] = rml[0].pv_score;
Iteration = 1;
// Is one move significantly better than others after initial scoring ?
if ( rml.size() == 1
|| rml[0].pv_score > rml[1].pv_score + EasyMoveMargin)
- EasyMove = rml[0].move;
+ EasyMove = rml[0].pv[0];
// Iterative deepening loop
while (Iteration < PLY_MAX)
// Iterative deepening loop
while (Iteration < PLY_MAX)
}
// Search to the current depth, rml is updated and sorted, alpha and beta could change
}
// Search to the current depth, rml is updated and sorted, alpha and beta could change
- value = root_search(pos, ss, pv, rml, &alpha, &beta);
-
- // Write PV to transposition table, in case the relevant entries have
- // been overwritten during the search.
- insert_pv_in_tt(pos, pv);
+ value = root_search(pos, ss, rml, &alpha, &beta);
if (AbortSearch)
break; // Value cannot be trusted. Break out immediately!
if (AbortSearch)
break; // Value cannot be trusted. Break out immediately!
ValueByIteration[Iteration] = value;
// Drop the easy move if differs from the new best move
ValueByIteration[Iteration] = value;
// Drop the easy move if differs from the new best move
+ if (rml[0].pv[0] != EasyMove)
EasyMove = MOVE_NONE;
if (UseTimeManagement)
EasyMove = MOVE_NONE;
if (UseTimeManagement)
// Stop search early if one move seems to be much better than the others
if ( Iteration >= 8
// Stop search early if one move seems to be much better than the others
if ( Iteration >= 8
+ && EasyMove == rml[0].pv[0]
&& ( ( rml[0].nodes > (pos.nodes_searched() * 85) / 100
&& current_search_time() > TimeMgr.available_time() / 16)
||( rml[0].nodes > (pos.nodes_searched() * 98) / 100
&& ( ( rml[0].nodes > (pos.nodes_searched() * 85) / 100
&& current_search_time() > TimeMgr.available_time() / 16)
||( rml[0].nodes > (pos.nodes_searched() * 98) / 100
<< " time " << current_search_time() << endl;
// Print the best move and the ponder move to the standard output
<< " time " << current_search_time() << endl;
// Print the best move and the ponder move to the standard output
- if (pv[0] == MOVE_NONE || MultiPV > 1)
- {
- pv[0] = rml[0].move;
- pv[1] = MOVE_NONE;
- }
+ cout << "bestmove " << rml[0].pv[0];
- assert(pv[0] != MOVE_NONE);
-
- cout << "bestmove " << pv[0];
-
- if (pv[1] != MOVE_NONE)
- cout << " ponder " << pv[1];
+ if (rml[0].pv[1] != MOVE_NONE)
+ cout << " ponder " << rml[0].pv[1];
LogFile << "\nNodes: " << pos.nodes_searched()
<< "\nNodes/second: " << nps(pos)
LogFile << "\nNodes: " << pos.nodes_searched()
<< "\nNodes/second: " << nps(pos)
- << "\nBest move: " << move_to_san(pos, pv[0]);
+ << "\nBest move: " << move_to_san(pos, rml[0].pv[0]);
- pos.do_move(pv[0], st);
+ pos.do_move(rml[0].pv[0], st);
LogFile << "\nPonder move: "
LogFile << "\nPonder move: "
- << move_to_san(pos, pv[1]) // Works also with MOVE_NONE
+ << move_to_san(pos, rml[0].pv[1]) // Works also with MOVE_NONE
<< endl;
}
return rml[0].pv_score;
<< endl;
}
return rml[0].pv_score;
// scheme, prints some information to the standard output and handles
// the fail low/high loops.
// scheme, prints some information to the standard output and handles
// the fail low/high loops.
- Value root_search(Position& pos, SearchStack* ss, Move* pv, RootMoveList& rml, Value* alphaPtr, Value* betaPtr) {
+ Value root_search(Position& pos, SearchStack* ss, RootMoveList& rml, Value* alphaPtr, Value* betaPtr) {
StateInfo st;
CheckInfo ci(pos);
StateInfo st;
CheckInfo ci(pos);
// Pick the next root move, and print the move and the move number to
// the standard output.
// Pick the next root move, and print the move and the move number to
// the standard output.
- move = ss->currentMove = rml[i].move;
+ move = ss->currentMove = rml[i].pv[0];
if (current_search_time() >= 1000)
cout << "info currmove " << move
if (current_search_time() >= 1000)
cout << "info currmove " << move
// the score before research in case we run out of time while researching.
rml[i].pv_score = value;
ss->bestMove = move;
// the score before research in case we run out of time while researching.
rml[i].pv_score = value;
ss->bestMove = move;
- extract_pv_from_tt(pos, move, pv);
- rml[i].set_pv(pv);
+ extract_pv_from_tt(pos, move, rml[i].pv);
// Print information to the standard output
// Print information to the standard output
- print_pv_info(pos, pv, alpha, beta, value);
+ print_pv_info(pos, rml[i].pv, alpha, beta, value);
// Prepare for a research after a fail high, each time with a wider window
*betaPtr = beta = Min(beta + AspirationDelta * (1 << researchCountFH), VALUE_INFINITE);
// Prepare for a research after a fail high, each time with a wider window
*betaPtr = beta = Min(beta + AspirationDelta * (1 << researchCountFH), VALUE_INFINITE);
// Update PV
rml[i].pv_score = value;
ss->bestMove = move;
// Update PV
rml[i].pv_score = value;
ss->bestMove = move;
- extract_pv_from_tt(pos, move, pv);
- rml[i].set_pv(pv);
+ extract_pv_from_tt(pos, move, rml[i].pv);
BestMoveChangesByIteration[Iteration]++;
// Print information to the standard output
BestMoveChangesByIteration[Iteration]++;
// Print information to the standard output
- print_pv_info(pos, pv, alpha, beta, value);
+ print_pv_info(pos, rml[i].pv, alpha, beta, value);
// Raise alpha to setup proper non-pv search upper bound
if (value > alpha)
// Raise alpha to setup proper non-pv search upper bound
if (value > alpha)
// Sort the moves before to return
rml.sort();
// Sort the moves before to return
rml.sort();
+ // Write PV to transposition table, in case the relevant entries have
+ // been overwritten during the search.
+ insert_pv_in_tt(pos, rml[0].pv);
+
pos.do_move(cur->move, st);
RootMove rm;
pos.do_move(cur->move, st);
RootMove rm;
- rm.move = ss[0].currentMove = rm.pv[0] = cur->move;
+ rm.pv[0] = ss[0].currentMove = cur->move;
rm.pv[1] = MOVE_NONE;
rm.pv_score = -qsearch<PV>(pos, ss+1, -VALUE_INFINITE, VALUE_INFINITE, DEPTH_ZERO, 1);
push_back(rm);
rm.pv[1] = MOVE_NONE;
rm.pv_score = -qsearch<PV>(pos, ss+1, -VALUE_INFINITE, VALUE_INFINITE, DEPTH_ZERO, 1);
push_back(rm);
while ((move = mp.get_next_move()) != MOVE_NONE)
for (Base::iterator it = begin(); it != end(); ++it)
while ((move = mp.get_next_move()) != MOVE_NONE)
for (Base::iterator it = begin(); it != end(); ++it)
{
it->non_pv_score = score--;
break;
{
it->non_pv_score = score--;
break;