#include "lock.h"
#include "san.h"
#include "search.h"
+#include "timeman.h"
#include "thread.h"
#include "tt.h"
#include "ucioption.h"
template <bool Fake>
void split(const Position& pos, SearchStack* ss, int ply, Value* alpha, const Value beta, Value* bestValue,
- Depth depth, bool mateThreat, int* moveCount, MovePicker* mp, bool pvNode);
+ Depth depth, Move threatMove, bool mateThreat, int* moveCount, MovePicker* mp, bool pvNode);
private:
friend void poll();
Depth PassedPawnExtension[2], PawnEndgameExtension[2], MateThreatExtension[2];
// Minimum depth for use of singular extension
- const Depth SingularExtensionDepth[2] = { 8 * OnePly /* non-PV */, 6 * OnePly /* PV */};
+ const Depth SingularExtensionDepth[2] = { 7 * OnePly /* non-PV */, 6 * OnePly /* PV */};
// If the TT move is at least SingularExtensionMargin better then the
// remaining ones we will extend it.
// better than the second best move.
const Value EasyMoveMargin = Value(0x200);
- // Last seconds noise filtering (LSN)
- const bool UseLSNFiltering = true;
- const int LSNTime = 100; // In milliseconds
- const Value LSNValue = value_from_centipawns(200);
- bool loseOnTime = false;
-
/// Global variables
int MultiPV;
// Time managment variables
- int SearchStartTime, MaxNodes, MaxDepth, MaxSearchTime;
- int AbsoluteMaxSearchTime, ExtraSearchTime, ExactMaxTime;
+ int SearchStartTime, MaxNodes, MaxDepth, OptimumSearchTime;
+ int MaximumSearchTime, ExtraSearchTime, ExactMaxTime;
bool UseTimeManagement, InfiniteSearch, PonderSearch, StopOnPonderhit;
bool FirstRootMove, AbortSearch, Quit, AspirationFailLow;
bool connected_moves(const Position& pos, Move m1, Move m2);
bool value_is_mate(Value value);
+ Value value_to_tt(Value v, int ply);
+ Value value_from_tt(Value v, int ply);
bool move_is_killer(Move m, SearchStack* ss);
bool ok_to_use_TT(const TTEntry* tte, Depth depth, Value beta, int ply);
bool connected_threat(const Position& pos, Move m, Move threat);
void update_gains(const Position& pos, Move move, Value before, Value after);
int current_search_time();
+ std::string value_to_uci(Value v);
int nps();
void poll();
void ponderhit();
void wait_for_stop_or_ponderhit();
void init_ss_array(SearchStack* ss, int size);
void print_pv_info(const Position& pos, Move pv[], Value alpha, Value beta, Value value);
+ void insert_pv_in_tt(const Position& pos, Move pv[]);
+ void extract_pv_from_tt(const Position& pos, Move bestMove, Move pv[]);
#if !defined(_MSC_VER)
void *init_thread(void *threadID);
// Init reductions array
for (hd = 1; hd < 64; hd++) for (mc = 1; mc < 64; mc++)
{
- double pvRed = log(double(hd)) * log(double(mc)) / 3.0;
- double nonPVRed = log(double(hd)) * log(double(mc)) / 1.5;
+ double pvRed = 0.33 + log(double(hd)) * log(double(mc)) / 4.5;
+ double nonPVRed = 0.33 + log(double(hd)) * log(double(mc)) / 2.25;
ReductionMatrix[PV][hd][mc] = (int8_t) ( pvRed >= 1.0 ? floor( pvRed * int(OnePly)) : 0);
ReductionMatrix[NonPV][hd][mc] = (int8_t) (nonPVRed >= 1.0 ? floor(nonPVRed * int(OnePly)) : 0);
}
}
-// SearchStack::init() initializes a search stack entry.
-// Called at the beginning of search() when starting to examine a new node.
-void SearchStack::init() {
-
- currentMove = threatMove = bestMove = MOVE_NONE;
- reduction = Depth(0);
- eval = VALUE_NONE;
-}
-
-// SearchStack::initKillers() initializes killers for a search stack entry
-void SearchStack::initKillers() {
-
- mateKiller = MOVE_NONE;
- for (int i = 0; i < KILLER_MAX; i++)
- killers[i] = MOVE_NONE;
-}
-
-
/// perft() is our utility to verify move generation is bug free. All the legal
/// moves up to given depth are generated and counted and the sum returned.
/// search-related global variables, and calls root_search(). It returns false
/// when a quit command is received during the search.
-bool think(const Position& pos, bool infinite, bool ponder, int side_to_move,
- int time[], int increment[], int movesToGo, int maxDepth,
- int maxNodes, int maxTime, Move searchMoves[]) {
+bool think(const Position& pos, bool infinite, bool ponder, int time[], int increment[],
+ int movesToGo, int maxDepth, int maxNodes, int maxTime, Move searchMoves[]) {
// Initialize global search variables
StopOnPonderhit = AbortSearch = Quit = AspirationFailLow = false;
- MaxSearchTime = AbsoluteMaxSearchTime = ExtraSearchTime = 0;
+ OptimumSearchTime = MaximumSearchTime = ExtraSearchTime = 0;
NodesSincePoll = 0;
TM.resetNodeCounters();
SearchStartTime = get_system_time();
}
}
- // Reset loseOnTime flag at the beginning of a new game
- if (button_was_pressed("New Game"))
- loseOnTime = false;
-
// Read UCI option values
TT.set_size(get_option_value_int("Hash"));
if (button_was_pressed("Clear Hash"))
TM.wake_sleeping_threads();
// Set thinking time
- int myTime = time[side_to_move];
- int myIncrement = increment[side_to_move];
+ int myTime = time[pos.side_to_move()];
+ int myIncrement = increment[pos.side_to_move()];
if (UseTimeManagement)
{
- if (!movesToGo) // Sudden death time control
- {
- if (myIncrement)
- {
- MaxSearchTime = myTime / 30 + myIncrement;
- AbsoluteMaxSearchTime = Max(myTime / 4, myIncrement - 100);
- }
- else // Blitz game without increment
- {
- MaxSearchTime = myTime / 30;
- AbsoluteMaxSearchTime = myTime / 8;
- }
- }
- else // (x moves) / (y minutes)
- {
- if (movesToGo == 1)
- {
- MaxSearchTime = myTime / 2;
- AbsoluteMaxSearchTime = (myTime > 3000)? (myTime - 500) : ((myTime * 3) / 4);
- }
- else
- {
- MaxSearchTime = myTime / Min(movesToGo, 20);
- AbsoluteMaxSearchTime = Min((4 * myTime) / movesToGo, myTime / 3);
- }
- }
+ get_search_times(myTime, myIncrement, movesToGo, pos.startpos_ply_counter(),
+ &OptimumSearchTime, &MaximumSearchTime);
if (get_option_value_bool("Ponder"))
{
- MaxSearchTime += MaxSearchTime / 4;
- MaxSearchTime = Min(MaxSearchTime, AbsoluteMaxSearchTime);
+ OptimumSearchTime += OptimumSearchTime / 4;
+ OptimumSearchTime = Min(OptimumSearchTime, MaximumSearchTime);
}
}
<< " increment: " << myIncrement
<< " moves to go: " << movesToGo << endl;
- // LSN filtering. Used only for developing purposes, disabled by default
- if ( UseLSNFiltering
- && loseOnTime)
- {
- // Step 2. If after last move we decided to lose on time, do it now!
- while (SearchStartTime + myTime + 1000 > get_system_time())
- /* wait here */;
- }
-
// We're ready to start thinking. Call the iterative deepening loop function
- Value v = id_loop(pos, searchMoves);
-
- if (UseLSNFiltering)
- {
- // Step 1. If this is sudden death game and our position is hopeless,
- // decide to lose on time.
- if ( !loseOnTime // If we already lost on time, go to step 3.
- && myTime < LSNTime
- && myIncrement == 0
- && movesToGo == 0
- && v < -LSNValue)
- {
- loseOnTime = true;
- }
- else if (loseOnTime)
- {
- // Step 3. Now after stepping over the time limit, reset flag for next match.
- loseOnTime = false;
- }
- }
+ id_loop(pos, searchMoves);
if (UseLogFile)
LogFile.close();
// so to output information also for iteration 1.
cout << "info depth " << 1
<< "\ninfo depth " << 1
- << " score " << value_to_string(rml.get_move_score(0))
+ << " score " << value_to_uci(rml.get_move_score(0))
<< " time " << current_search_time()
<< " nodes " << TM.nodes_searched()
<< " nps " << nps()
// Write PV to transposition table, in case the relevant entries have
// been overwritten during the search.
- TT.insert_pv(p, pv);
+ insert_pv_in_tt(p, pv);
if (AbortSearch)
break; // Value cannot be trusted. Break out immediately!
if ( Iteration >= 8
&& EasyMove == pv[0]
&& ( ( rml.get_move_cumulative_nodes(0) > (nodes * 85) / 100
- && current_search_time() > MaxSearchTime / 16)
+ && current_search_time() > OptimumSearchTime / 16)
||( rml.get_move_cumulative_nodes(0) > (nodes * 98) / 100
- && current_search_time() > MaxSearchTime / 32)))
+ && current_search_time() > OptimumSearchTime / 32)))
stopSearch = true;
// Add some extra time if the best move has changed during the last two iterations
if (Iteration > 5 && Iteration <= 50)
- ExtraSearchTime = BestMoveChangesByIteration[Iteration] * (MaxSearchTime / 2)
- + BestMoveChangesByIteration[Iteration-1] * (MaxSearchTime / 3);
+ ExtraSearchTime = BestMoveChangesByIteration[Iteration] * (OptimumSearchTime / 2)
+ + BestMoveChangesByIteration[Iteration-1] * (OptimumSearchTime / 3);
// Stop search if most of MaxSearchTime is consumed at the end of the
// iteration. We probably don't have enough time to search the first
// move at the next iteration anyway.
- if (current_search_time() > ((MaxSearchTime + ExtraSearchTime) * 80) / 128)
+ if (current_search_time() > ((OptimumSearchTime + ExtraSearchTime) * 80) / 128)
stopSearch = true;
if (stopSearch)
beta = *betaPtr;
isCheck = pos.is_check();
- // Step 1. Initialize node and poll (omitted at root, init_ss_array() has already initialized root node)
+ // Step 1. Initialize node (polling is omitted at root)
+ ss->currentMove = ss->bestMove = MOVE_NONE;
+
// Step 2. Check for aborted search (omitted at root)
// Step 3. Mate distance pruning (omitted at root)
// Step 4. Transposition table lookup (omitted at root)
// Step 5. Evaluate the position statically
// At root we do this only to get reference value for child nodes
- if (!isCheck)
- ss->eval = evaluate(pos, ei);
+ ss->eval = isCheck ? VALUE_NONE : evaluate(pos, ei);
// Step 6. Razoring (omitted at root)
// Step 7. Static null move pruning (omitted at root)
// the score before research in case we run out of time while researching.
rml.set_move_score(i, value);
ss->bestMove = move;
- TT.extract_pv(pos, move, pv, PLY_MAX);
+ extract_pv_from_tt(pos, move, pv);
rml.set_move_pv(i, pv);
// Print information to the standard output
// Update PV
rml.set_move_score(i, value);
ss->bestMove = move;
- TT.extract_pv(pos, move, pv, PLY_MAX);
+ extract_pv_from_tt(pos, move, pv);
rml.set_move_pv(i, pv);
if (MultiPV == 1)
for (int j = 0; j < Min(MultiPV, rml.move_count()); j++)
{
cout << "info multipv " << j + 1
- << " score " << value_to_string(rml.get_move_score(j))
+ << " score " << value_to_uci(rml.get_move_score(j))
<< " depth " << (j <= i ? Iteration : Iteration - 1)
<< " time " << current_search_time()
<< " nodes " << TM.nodes_searched()
Move movesSearched[256];
EvalInfo ei;
StateInfo st;
- const TTEntry* tte;
+ const TTEntry *tte, *ttx;
Key posKey;
- Move ttMove, move, excludedMove;
+ Move ttMove, move, excludedMove, threatMove;
Depth ext, newDepth;
Value bestValue, value, oldAlpha;
Value refinedValue, nullValue, futilityValueScaled; // Non-PV specific
// Step 1. Initialize node and poll. Polling can abort search
TM.incrementNodeCounter(threadID);
- ss->init();
- (ss+2)->initKillers();
+ ss->currentMove = ss->bestMove = threatMove = MOVE_NONE;
+ (ss+2)->killers[0] = (ss+2)->killers[1] = (ss+2)->mateKiller = MOVE_NONE;
if (threadID == 0 && ++NodesSincePoll > NodesBetweenPolls)
{
// Refresh tte entry to avoid aging
TT.store(posKey, tte->value(), tte->type(), tte->depth(), ttMove, tte->static_value(), tte->king_danger());
- ss->currentMove = ttMove; // Can be MOVE_NONE
+ ss->bestMove = ttMove; // Can be MOVE_NONE
return value_from_tt(tte->value(), ply);
}
isCheck = pos.is_check();
if (!isCheck)
{
- if (tte && tte->static_value() != VALUE_NONE)
+ if (tte)
{
+ assert(tte->static_value() != VALUE_NONE);
ss->eval = tte->static_value();
ei.kingDanger[pos.side_to_move()] = tte->king_danger();
}
else
+ {
ss->eval = evaluate(pos, ei);
+ TT.store(posKey, VALUE_NONE, VALUE_TYPE_NONE, DEPTH_NONE, MOVE_NONE, ss->eval, ei.kingDanger[pos.side_to_move()]);
+ }
refinedValue = refine_eval(tte, ss->eval, ply); // Enhance accuracy with TT value if possible
update_gains(pos, (ss-1)->currentMove, (ss-1)->eval, ss->eval);
}
+ else
+ ss->eval = VALUE_NONE;
// Step 6. Razoring (is omitted in PV nodes)
if ( !PvNode
&& !value_is_mate(beta)
&& !pos.has_pawn_on_7th(pos.side_to_move()))
{
- // Pass ss->eval to qsearch() and avoid an evaluate call
- if (!tte || tte->static_value() == VALUE_NONE)
- TT.store(posKey, ss->eval, VALUE_TYPE_EXACT, Depth(-127*OnePly), MOVE_NONE, ss->eval, ei.kingDanger[pos.side_to_move()]);
-
Value rbeta = beta - razor_margin(depth);
Value v = qsearch<NonPV>(pos, ss, rbeta-1, rbeta, Depth(0), ply);
if (v < rbeta)
if (nullValue == value_mated_in(ply + 2))
mateThreat = true;
- ss->threatMove = (ss+1)->currentMove;
+ threatMove = (ss+1)->bestMove;
if ( depth < ThreatDepth
&& (ss-1)->reduction
- && connected_moves(pos, (ss-1)->currentMove, ss->threatMove))
+ && connected_moves(pos, (ss-1)->currentMove, threatMove))
return beta - 1;
}
}
&& move == tte->move()
&& ext < OnePly)
{
+ // Avoid to do an expensive singular extension search on nodes where
+ // such search have already been done in the past, so assume the last
+ // singular extension search result is still valid.
+ if ( !PvNode
+ && depth < SingularExtensionDepth[PvNode] + 5 * OnePly
+ && ((ttx = TT.retrieve(pos.get_exclusion_key())) != NULL))
+ {
+ if (is_upper_bound(ttx->type()))
+ ext = OnePly;
+
+ singularExtensionNode = false;
+ }
+
Value ttValue = value_from_tt(tte->value(), ply);
- if (abs(ttValue) < VALUE_KNOWN_WIN)
+ if (singularExtensionNode && abs(ttValue) < VALUE_KNOWN_WIN)
{
Value b = ttValue - SingularExtensionMargin;
ss->excludedMove = move;
{
// Move count based pruning
if ( moveCount >= futility_move_count(depth)
- && !(ss->threatMove && connected_threat(pos, move, ss->threatMove))
+ && !(threatMove && connected_threat(pos, move, threatMove))
&& bestValue > value_mated_in(PLY_MAX))
continue;
&& !TM.thread_should_stop(threadID)
&& Iteration <= 99)
TM.split<FakeSplit>(pos, ss, ply, &alpha, beta, &bestValue, depth,
- mateThreat, &moveCount, &mp, PvNode);
+ threatMove, mateThreat, &moveCount, &mp, PvNode);
}
// Step 19. Check for mate and stalemate
TM.incrementNodeCounter(pos.thread());
ss->bestMove = ss->currentMove = MOVE_NONE;
- ss->eval = VALUE_NONE;
// Check for an instant draw or maximum ply reached
if (pos.is_draw() || ply >= PLY_MAX - 1)
if (!PvNode && tte && ok_to_use_TT(tte, depth, beta, ply))
{
- ss->currentMove = ttMove; // Can be MOVE_NONE
+ ss->bestMove = ttMove; // Can be MOVE_NONE
return value_from_tt(tte->value(), ply);
}
if (isCheck)
{
bestValue = futilityBase = -VALUE_INFINITE;
+ ss->eval = VALUE_NONE;
deepChecks = enoughMaterial = false;
}
else
{
- if (tte && tte->static_value() != VALUE_NONE)
+ if (tte)
{
+ assert(tte->static_value() != VALUE_NONE);
ei.kingDanger[pos.side_to_move()] = tte->king_danger();
bestValue = tte->static_value();
}
if (bestValue >= beta)
{
if (!tte)
- TT.store(pos.get_key(), value_to_tt(bestValue, ply), VALUE_TYPE_LOWER, Depth(-127*OnePly), MOVE_NONE, ss->eval, ei.kingDanger[pos.side_to_move()]);
+ TT.store(pos.get_key(), value_to_tt(bestValue, ply), VALUE_TYPE_LOWER, DEPTH_NONE, MOVE_NONE, ss->eval, ei.kingDanger[pos.side_to_move()]);
return bestValue;
}
{
// Move count based pruning
if ( moveCount >= futility_move_count(sp->depth)
- && !(ss->threatMove && connected_threat(pos, move, ss->threatMove))
+ && !(sp->threatMove && connected_threat(pos, move, sp->threatMove))
&& sp->bestValue > value_mated_in(PLY_MAX))
{
lock_grab(&(sp->lock));
}
- // value_is_mate() checks if the given value is a mate one
- // eventually compensated for the ply.
+ // value_is_mate() checks if the given value is a mate one eventually
+ // compensated for the ply.
bool value_is_mate(Value value) {
}
- // move_is_killer() checks if the given move is among the
- // killer moves of that ply.
+ // value_to_tt() adjusts a mate score from "plies to mate from the root" to
+ // "plies to mate from the current ply". Non-mate scores are unchanged.
+ // The function is called before storing a value to the transposition table.
+
+ Value value_to_tt(Value v, int ply) {
+
+ if (v >= value_mate_in(PLY_MAX))
+ return v + ply;
+
+ if (v <= value_mated_in(PLY_MAX))
+ return v - ply;
+
+ return v;
+ }
+
+
+ // value_from_tt() is the inverse of value_to_tt(): It adjusts a mate score from
+ // the transposition table to a mate score corrected for the current ply.
+
+ Value value_from_tt(Value v, int ply) {
+
+ if (v >= value_mate_in(PLY_MAX))
+ return v - ply;
+
+ if (v <= value_mated_in(PLY_MAX))
+ return v + ply;
+
+ return v;
+ }
+
+
+ // move_is_killer() checks if the given move is among the killer moves
bool move_is_killer(Move m, SearchStack* ss) {
- const Move* k = ss->killers;
- for (int i = 0; i < KILLER_MAX; i++, k++)
- if (*k == m)
- return true;
+ if (ss->killers[0] == m || ss->killers[1] == m)
+ return true;
return false;
}
if (m == ss->killers[0])
return;
- for (int i = KILLER_MAX - 1; i > 0; i--)
- ss->killers[i] = ss->killers[i - 1];
-
+ ss->killers[1] = ss->killers[0];
ss->killers[0] = m;
}
}
+ // value_to_uci() converts a value to a string suitable for use with the UCI protocol
+
+ std::string value_to_uci(Value v) {
+
+ std::stringstream s;
+
+ if (abs(v) < VALUE_MATE - PLY_MAX * OnePly)
+ s << "cp " << int(v) * 100 / int(PawnValueMidgame); // Scale to pawn = 100
+ else
+ s << "mate " << (v > 0 ? (VALUE_MATE - v + 1) / 2 : -(VALUE_MATE + v) / 2 );
+
+ return s.str();
+ }
+
// nps() computes the current nodes/second count.
int nps() {
bool stillAtFirstMove = FirstRootMove
&& !AspirationFailLow
- && t > MaxSearchTime + ExtraSearchTime;
+ && t > OptimumSearchTime + ExtraSearchTime;
- bool noMoreTime = t > AbsoluteMaxSearchTime
+ bool noMoreTime = t > MaximumSearchTime
|| stillAtFirstMove;
if ( (Iteration >= 3 && UseTimeManagement && noMoreTime)
bool stillAtFirstMove = FirstRootMove
&& !AspirationFailLow
- && t > MaxSearchTime + ExtraSearchTime;
+ && t > OptimumSearchTime + ExtraSearchTime;
- bool noMoreTime = t > AbsoluteMaxSearchTime
+ bool noMoreTime = t > MaximumSearchTime
|| stillAtFirstMove;
if (Iteration >= 3 && UseTimeManagement && (noMoreTime || StopOnPonderhit))
{
ss->excludedMove = MOVE_NONE;
ss->skipNullMove = false;
+ ss->reduction = Depth(0);
if (i < 3)
- {
- ss->init();
- ss->initKillers();
- }
+ ss->killers[0] = ss->killers[1] = ss->mateKiller = MOVE_NONE;
}
}
void print_pv_info(const Position& pos, Move pv[], Value alpha, Value beta, Value value) {
cout << "info depth " << Iteration
- << " score " << value_to_string(value)
+ << " score " << value_to_uci(value)
<< (value >= beta ? " lowerbound" : value <= alpha ? " upperbound" : "")
<< " time " << current_search_time()
<< " nodes " << TM.nodes_searched()
}
+ // insert_pv_in_tt() is called at the end of a search iteration, and inserts
+ // the PV back into the TT. This makes sure the old PV moves are searched
+ // first, even if the old TT entries have been overwritten.
+
+ void insert_pv_in_tt(const Position& pos, Move pv[]) {
+
+ StateInfo st;
+ TTEntry* tte;
+ Position p(pos, pos.thread());
+ EvalInfo ei;
+ Value v;
+
+ for (int i = 0; pv[i] != MOVE_NONE; i++)
+ {
+ tte = TT.retrieve(p.get_key());
+ if (!tte || tte->move() != pv[i])
+ {
+ v = (p.is_check() ? VALUE_NONE : evaluate(p, ei));
+ TT.store(p.get_key(), VALUE_NONE, VALUE_TYPE_NONE, DEPTH_NONE, pv[i], v, ei.kingDanger[pos.side_to_move()]);
+ }
+ p.do_move(pv[i], st);
+ }
+ }
+
+
+ // extract_pv_from_tt() builds a PV by adding moves from the transposition table.
+ // We consider also failing high nodes and not only VALUE_TYPE_EXACT nodes. This
+ // allow to always have a ponder move even when we fail high at root and also a
+ // long PV to print that is important for position analysis.
+
+ void extract_pv_from_tt(const Position& pos, Move bestMove, Move pv[]) {
+
+ StateInfo st;
+ TTEntry* tte;
+ Position p(pos, pos.thread());
+ int ply = 0;
+
+ assert(bestMove != MOVE_NONE);
+
+ pv[ply] = bestMove;
+ p.do_move(pv[ply++], st);
+
+ while ( (tte = TT.retrieve(p.get_key())) != NULL
+ && tte->move() != MOVE_NONE
+ && move_is_legal(p, tte->move())
+ && ply < PLY_MAX
+ && (!p.is_draw() || ply < 2))
+ {
+ pv[ply] = tte->move();
+ p.do_move(pv[ply++], st);
+ }
+ pv[ply] = MOVE_NONE;
+ }
+
+
// init_thread() is the function which is called when a new thread is
// launched. It simply calls the idle_loop() function with the supplied
// threadID. There are two versions of this function; one for POSIX
#endif
// Initialize global locks
- lock_init(&MPLock, NULL);
- lock_init(&WaitLock, NULL);
+ lock_init(&MPLock);
+ lock_init(&WaitLock);
#if !defined(_MSC_VER)
pthread_cond_init(&WaitCond, NULL);
// Initialize splitPoints[] locks
for (i = 0; i < MAX_THREADS; i++)
for (int j = 0; j < MAX_ACTIVE_SPLIT_POINTS; j++)
- lock_init(&(threads[i].splitPoints[j].lock), NULL);
+ lock_init(&(threads[i].splitPoints[j].lock));
// Will be set just before program exits to properly end the threads
AllThreadsShouldExit = false;
template <bool Fake>
void ThreadsManager::split(const Position& p, SearchStack* ss, int ply, Value* alpha,
- const Value beta, Value* bestValue, Depth depth, bool mateThreat,
- int* moveCount, MovePicker* mp, bool pvNode) {
+ const Value beta, Value* bestValue, Depth depth, Move threatMove,
+ bool mateThreat, int* moveCount, MovePicker* mp, bool pvNode) {
assert(p.is_ok());
assert(ply > 0 && ply < PLY_MAX);
assert(*bestValue >= -VALUE_INFINITE);
splitPoint.stopRequest = false;
splitPoint.ply = ply;
splitPoint.depth = depth;
+ splitPoint.threatMove = threatMove;
splitPoint.mateThreat = mateThreat;
splitPoint.alpha = *alpha;
splitPoint.beta = beta;
StateInfo st;
bool includeAllMoves = (searchMoves[0] == MOVE_NONE);
+ // Initialize search stack
+ init_ss_array(ss, PLY_MAX_PLUS_2);
+ ss[0].currentMove = ss[0].bestMove = MOVE_NONE;
+ ss[0].eval = VALUE_NONE;
+
// Generate all legal moves
MoveStack* last = generate_moves(pos, mlist);
continue;
// Find a quick score for the move
- init_ss_array(ss, PLY_MAX_PLUS_2);
pos.do_move(cur->move, st);
+ ss[0].currentMove = cur->move;
moves[count].move = cur->move;
moves[count].score = -qsearch<PV>(pos, ss+1, -VALUE_INFINITE, VALUE_INFINITE, Depth(0), 1);
moves[count].pv[0] = cur->move;
projects / stockfish / blobdiff