#include "chess.h"
#include "data.h"
/* last modified 01/10/16 */
/*
*******************************************************************************
* *
* Search() is the recursive routine used to implement the alpha/beta *
* negamax search (similar to minimax but simpler to code.) Search() is *
* called whenever there is "depth" remaining so that all moves are subject *
* to searching. Search() recursively calls itself so long as there is at *
* least one ply of depth left, otherwise it calls Quiesce() instead. *
* *
*******************************************************************************
*/
int Search(TREE * RESTRICT tree, int ply, int depth, int wtm, int alpha,
int beta, int in_check, int do_null) {
int repeat = 0, value = 0, pv_node = alpha != beta - 1, n_depth;
int searched[256];
/*
************************************************************
* *
* Timeout. Check to see if we have searched enough nodes *
* that it is time to peek at how much time has been used, *
* or if is time to check for operator keyboard input. *
* This is usually enough nodes to force a time/input *
* check about once per second, except when the target *
* time per move is very small, in which case we try to *
* check the time more frequently. *
* *
* Note that we check input or time-out in thread 0. This *
* makes the code simpler and eliminates some problematic *
* race conditions. *
* *
************************************************************
*/
#if defined(NODES)
if (search_nodes && --temp_search_nodes <= 0) {
abort_search = 1;
return 0;
}
#endif
if (tree->thread_id == 0) {
if (--next_time_check <= 0) {
next_time_check = nodes_between_time_checks;
if (TimeCheck(tree, 1)) {
abort_search = 1;
return 0;
}
if (CheckInput()) {
Interrupt(ply);
if (abort_search)
return 0;
}
}
}
if (ply >= MAXPLY - 1)
return beta;
/*
************************************************************
* *
* Draws. Check for draw by repetition, which includes *
* 50 move draws also. This is the quickest way to get *
* out of further searching, with minimal effort. This *
* and the next four steps are skipped for moves at the *
* root (ply = 1). *
* *
************************************************************
*/
if (ply > 1) {
if ((repeat = Repeat(tree, ply))) {
if (repeat == 1 || !in_check) {
value = DrawScore(wtm);
if (value < beta)
SavePV(tree, ply, 3);
#if defined(TRACE)
if (ply <= trace_level)
printf("draw by repetition detected, ply=%d.\n", ply
); #endif
return value;
}
}
/*
************************************************************
* *
* Mate distance pruning. If we have found a mate, we can *
* stop if we are too deep to find a shorter mate. This *
* only affects the size of the tree in positions where *
* there are forced mates. It does not change the outcome *
* of the search at all, just the time it takes. *
* *
************************************************************
*/
alpha = Max(alpha, -MATE + ply - 1);
beta = Min(beta, MATE - ply);
if (alpha >= beta)
return alpha;
/*
************************************************************
* *
* Trans/Ref. Check the transposition/refutation (hash) *
* table to see if we have searched this position *
* previously and still have the results available. We *
* might get a real score, or a bound, or perhaps only a *
* good move to try first. The possible results are: *
* *
* 1. HashProbe() returns "HASH_HIT". This terminates the *
* search instantly and we simply return the value found *
* in the hash table. This value is simply the value we *
* found when we did a real search in this position *
* previously, and ProbeTransRef() verifies that the value *
* is useful based on draft and current bounds. *
* *
* 2. HashProbe() returns "AVOID_NULL_MOVE" which means *
* the hashed score/bound was no good, but it indicated *
* that trying a null-move in this position would be a *
* waste of time since it will likely fail low, not high. *
* *
* 3. HashProbe() returns "HASH_MISS" when forces us to do *
* a normal search to resolve this node. *
* *
************************************************************
*/
switch (HashProbe(tree, ply, depth, wtm, alpha, beta, &value)) {
case HASH_HIT:
return value;
case AVOID_NULL_MOVE:
do_null = 0;
case HASH_MISS:
break;
}
/*
************************************************************
* *
* EGTBs. Now it's time to try a probe into the endgame *
* tablebase files. This is done if we notice that there *
* are 6 or fewer pieces left on the board AND the move at *
* the previous ply was a capture. If it was not, then we *
* would have already probed the EGTBs so if it was a miss *
* when we probed then, it will also miss here. EGTB_use *
* tells us how many pieces to probe on. Note that this *
* can be zero when trying to swindle the opponent, so *
* that no probes are done since we know it is a draw. *
* This is another way to get out of the search quickly, *
* but not as quickly as the previous steps since this can *
* result in an I/O operation. *
* *
* Note that in "swindle mode" this can be turned off by *
* Iterate() setting "EGTB_use = 0" so that we won't probe *
* the EGTBs since we are searching only the root moves *
* that lead to a draw and we want to play the move that *
* makes the draw more difficult to reach by the opponent *
* to give him a chance to make a mistake. *
* *
* Another special case is that we slightly fudge the *
* score for draws. In a normal circumstance, draw=0.00 *
* since it is "equal". However, here we add 0.01 if *
* white has more material, or subtract 0.01 if black has *
* more material, since in a drawn KRP vs KR we would *
* prefer to have the KRP side since the opponent can make *
* a mistake and convert the draw to a loss. *
* *
************************************************************
*/
#if !defined(NOEGTB)
if (depth > EGTB_depth && TotalAllPieces <= EGTB_use &&
!Castle(ply, white) && !Castle(ply, black) &&
(Captured(tree->curmv[ply - 1]) || ply < 3)) {
int egtb_value;
tree->egtb_probes++;
if (EGTBProbe(tree, ply, wtm, &egtb_value)) {
tree->egtb_hits++;
alpha = egtb_value;
if (MateScore(alpha))
alpha += (alpha > 0) ? -ply + 1 : ply;
else if (alpha == 0) {
alpha = DrawScore(wtm);
if (MaterialSTM(wtm) > 0)
alpha += 1;
else if (MaterialSTM(wtm) < 0)
alpha -= 1;
}
if (alpha < beta)
SavePV(tree, ply, 2);
return alpha;
}
}
#endif
/*
************************************************************
* *
* Null-move. We now know there is no quick way to get *
* out of here, which leaves one more possibility, *
* although it does require a search, but to a reduced *
* depth. We try a null move to see if we can get a quick *
* cutoff with only a little work. This operates as *
* follows. Instead of making a legal move, the side on *
* move passes and does nothing. The resulting position *
* is searched to a shallower depth than normal (see *
* below). This will result in a cutoff if our position *
* is very good, but it produces the cutoff much quicker *
* since the search is far shallower than a normal search *
* that would also be likely to fail high. *
* *
* The reduction amount starts off at null_depth (normally *
* set to 3 but the user can change this via the crafty *
* personality command) but is then increased as follows: *
* *
* R = null_depth + depth / null_divisor *
* *
* null_divisor defaults to 6, but this can also be set *
* by the user to try more/less aggressive settings. *
* *
* This is skipped for any of the following reasons: *
* *
* 1. The side on move is in check. The null move *
* results in an illegal position. *
* 2. No more than one null move can appear in succession *
* as all this does is burn 2x plies of depth. *
* 3. The side on move has only pawns left, which makes *
* zugzwang positions more likely. *
* 4. The transposition table probe found an entry that *
* indicates that a null-move search will not fail *
* high, so we avoid the wasted effort. *
* *
************************************************************
*/
tree->last[ply] = tree->last[ply - 1];
n_depth = (TotalPieces(wtm, occupied) > 9 || n_root_moves > 17 ||
depth > 3) ? 1 : 3;
if (do_null && !pv_node && depth > n_depth && !in_check &&
TotalPieces(wtm, occupied)) {
uint64_t save_hash_key;
int R = null_depth + depth / null_divisor;
tree->curmv[ply] = 0;
#if defined(TRACE)
if (ply <= trace_level)
Trace(tree, ply, depth, wtm, value - 1, value, "SearchNull", serial,
NULL_MOVE, 0);
#endif
tree->status[ply + 1] = tree->status[ply];
Reversible(ply + 1) = 0;
save_hash_key = HashKey;
if (EnPassant(ply + 1)) {
HashEP(EnPassant(ply + 1));
EnPassant(ply + 1) = 0;
}
tree->null_done[Min(R, 15)]++;
if (depth - R - 1 > 0)
value =
-Search(tree, ply + 1, depth - R - 1, Flip(wtm), -beta, -beta + 1,
0, NO_NULL);
else
value = -Quiesce(tree, ply + 1, Flip(wtm), -beta, -beta + 1, 1);
HashKey = save_hash_key;
if (abort_search || tree->stop)
return 0;
if (value >= beta) {
HashStore(tree, ply, depth, wtm, LOWER, value, tree->hash_move[ply]);
return value;
}
}
/*
************************************************************
* *
* IID. This step is rarely executed. It is used when *
* there is no best move from the hash table, and this is *
* a PV node, since we need a good move to search first. *
* While killers moves are good, they are not quite good *
* enough. the simplest solution is to try a shallow *
* search (depth-2) to get a move. note that when we call *
* Search() with depth-2, it, too, will not have a hash *
* move, and will therefore recursively continue this *
* process, hence the name "internal iterative deepening." *
* *
************************************************************
*/
tree->next_status[ply].phase = HASH;
if (!tree->hash_move[ply] && depth >= 6 && do_null && ply > 1 && pv_node) {
tree->curmv[ply] = 0;
if (depth - 2 > 0)
value =
Search(tree, ply, depth - 2, wtm, alpha, beta, in_check, DO_NULL);
else
value = Quiesce(tree, ply, wtm, alpha, beta, 1);
if (abort_search || tree->stop)
return 0;
if (value > alpha) {
if (value < beta) {
if ((int) tree->pv[ply - 1].pathl > ply)
tree->hash_move[ply] = tree->pv[ply - 1].path[ply];
} else
tree->hash_move[ply] = tree->curmv[ply];
tree->last[ply] = tree->last[ply - 1];
tree->next_status[ply].phase = HASH;
}
}
}
/*
************************************************************
* *
* Search moves. Now we call SearchMoveList() to interate *
* through the move list and search each new position. *
* Note that this is done in a separate procedure because *
* this is also the code that is used to do the parallel *
* search. *
* *
************************************************************
*/
searched[0] = 0;
value =
SearchMoveList(tree, ply, depth, wtm, alpha, beta, searched, in_check,
repeat, serial);
return value;
}
/* last modified 09/28/15 */
/*
*******************************************************************************
* *
* SearchMoveList() is the recursive routine used to implement the main *
* search loop. This code is responsible for iterating through the move *
* list until it encounters a condition that ends the search at this ply. *
* At that point it simply returns the current negamax value to the caller *
* to handle as necessary. *
* *
* The "mode" flag indicates which of the following conditions apply here *
* which directly controls parts of the search. *
* *
* mode = serial -> this is a serial search. *
* *
* mode = parallel -> this is a parallel search, which implies that this *
* is a partial search which means we do NOT want to *
* do any trans/ref updating and we also need to take *
* care about locking things that are being updated *
* by more than one thread in parallel. *
* *
* When mode = parallel, this code performs the same function as the old *
* SearchParallel() code, except that it is the main search loop for the *
* program, there is no longer any duplicated code. This is called by the *
* normal Search() function and by ThreadWait() where idle processes wait *
* for work and then call this procedure to search a subset of the moves at *
* this ply (in parallel with other threads). *
* *
*******************************************************************************
*/
int SearchMoveList(TREE * RESTRICT tree, int ply, int depth, int wtm,
int alpha, int beta, int searched[], int in_check, int repeat, int mode) {
TREE *current;
int extend, reduce, check, original_alpha = alpha, t_beta;
int i, value = 0, pv_node = alpha != beta - 1, status, order;
int moves_done = 0, phase, bestmove, type;
/*
************************************************************
* *
* Basic initialization before we begin the loop through *
* the move list. If this is a parallel search, we have *
* already searched one move, so we set t_beta to alpha+1 *
* to set up for a normal PVS search (for moves 2-n) *
* instead of using alpha,beta for the first move as we do *
* in a normal search. Also, if this is a serial search, *
* we are fixing to search the first move so we set the *
* searched move counter to zero, where in a parallel *
* search this has already been done and we leave it alone *
* here. *
* *
* We also set <current> to tree for a serial search, and *
* to tree->parent for a parallel search since we need to *
* share the move list at split nodes. *
* *
************************************************************
*/
tree->next_status[ply].phase = HASH;
if (mode == parallel) {
current = tree->parent;
t_beta = alpha + 1;
} else {
current = tree;
t_beta = beta;
}
/*
************************************************************
* *
* Iterate. Now iterate through the move list and search *
* the resulting positions. Note that Search() culls any *
* move that is not legal by using Check(). The special *
* case is that we must find one legal move to search to *
* confirm that it's not a mate or draw. *
* *
* We call NextMove() which will generate moves in the *
* normal way (captures, killers, etc) or it will use the *
* GenerateEvasions() generator if we are in check. For *
* the special case of ply=1, we use NextRootMove() since *
* the ply=1 move list has been generated and the order is *
* updated as each search iteration is executed. *
* *
************************************************************
*/
while (1) {
if (ply == 1 && moves_done == 1 && alpha == original_alpha &&
mode == serial)
break;
if (mode == parallel)
Lock(current->lock);
order = (ply > 1) ? NextMove(current, ply, depth, wtm, in_check) :
NextRootMove(current, tree, wtm);
phase = current->phase[ply];
if (mode == parallel) {
tree->curmv[ply] = tree->parent->curmv[ply];
Unlock(current->lock);
}
if (!order)
break;
#if defined(TRACE)
if (ply <= trace_level)
Trace(tree, ply, depth, wtm, alpha, beta, "SearchMoveList", mode, phase,
order);
#endif
MakeMove(tree, ply, wtm, tree->curmv[ply]);
tree->nodes_searched++;
status = ILLEGAL;
if (in_check || !Check(wtm))
do {
searched[0]++;
moves_done++;
status = LEGAL;
searched[searched[0]] = tree->curmv[ply];
/*
************************************************************
* *
* Check. If the move to be made checks the opponent, *
* then we need to remember that he's in check and also *
* extend the depth by one ply for him to get out. *
* *
* We do not extend unsafe checking moves (as indicated by *
* the SEE algorithm), since these are usually a waste of *
* time and simply blow up the tree search space. *
* *
* Note that extending here disables any potential foward *
* pruning or reductions for this move. *
* *
************************************************************
*/
extend = 0;
reduce = 0;
if (Check(Flip(wtm))) {
check = 1;
if (SEEO(tree, wtm,
tree->curmv[ply]) - pcval[Captured(tree->curmv[ply])] <=
0) {
extend = check_depth;
tree->extensions_done++;
}
} else
check = 0;
/*
************************************************************
* *
* Futility. First attempt at forward pruning based on *
* the futility idea. *
* *
* We have an array of pruning margin values that are *
* indexed by depth (remaining plies left until we drop *
* into the quiescence search) and which increase with *
* depth since more depth means a greater chance of *
* bringing the score back up to alpha or beyond. If the *
* current material + the bonus is less than alpha, we *
* simply avoid searching this move at all, and skip to *
* the next move without expending any more effort. Note *
* that this is classic forward-pruning and can certainly *
* introduce errors into the search. However, cluster *
* testing has shown that this improves play in real *
* games. The current implementation only prunes in the *
* last 6 plies before quiescence, although this can be *
* tuned with the "eval" command changing the "pruning *
* depth" value to something other than 7 (test is for *
* depth < pruning depth, current value is 7 which prunes *
* in last 6 plies only). Testing shows no benefit in *
* larger values than 7, although this might change in *
* future versions as other things are modified. *
* *
* Exception: *
* *
* We do not prune if we are safely pushing a passed *
* pawn to the 6th rank, where it becomes very dangerous *
* since it can promote in two more moves. *
* *
* All pruning and reduction code is skipped if any of the *
* following are true: *
* *
* (1) side on move is in check. *
* *
* (2) move has not already been flagged for a search *
* extension. *
* *
* (3) this is not the first move at this ply. *
* *
* (4) we are in the REMAINING phase, which means that a *
* cutoff is not very likely. *
* *
************************************************************
*/
if (!in_check && !extend && order > 1 && phase >= HISTORY &&
!(PawnPush(wtm, tree->curmv[ply]))) {
if (!pv_node && depth < pruning_depth &&
MaterialSTM(wtm) + pruning_margin[depth] <= alpha) {
tree->moves_fpruned++;
break;
}
/*
************************************************************
* *
* LMP. Final attempt at forward pruning based on the *
* "late move pruning" idea (a take-off on LMR). *
* *
* The basic idea here is that once we have searched a *
* significant number of moves at a ply, it becomes less *
* and less likely that any of the moves left will produce *
* a cutoff. If the move appears to be simple (not a *
* check, etc) then we simply skip it, once the move count *
* has been satisfied. At present, we only do this in the *
* last two plies although this might be changed in the *
* future. *
* *
************************************************************
*/
if (!pv_node && alpha > -MATE + 300 && depth < movecnt_depth &&
!CaptureOrPromote(tree->curmv[ply]) &&
order > movecnt_pruning[depth]) {
tree->moves_mpruned++;
break;
}
/*
************************************************************
* *
* LMR. Now it's time to try to reduce the search depth *
* if the move appears to be "poor" because it appears *
* later in the move list. *
* *
* The reduction is variable and is done via a table look- *
* up that uses a function based on remaining depth (more *
* depth remaining, the larger the reduction) and the *
* number of moves searched (more moves searched, the *
* larger the reduction). The "shape" of this reduction *
* formula is user-settable via the "lmr" command. *
* *
************************************************************
*/
reduce = LMR[Min(depth, 31)][Min(order, 63)];
tree->LMR_done[reduce]++;
}
/*
************************************************************
* *
* Now do the PVS search on the current move. *
* *
* Note that we do the usual alpha/beta cutoff tests here *
* but we only set an indicator that is used after we have *
* called Unmake(). This cleaned up the exit from search *
* and makes it easier to understand when there is only *
* one point where this is done, without needing multiple *
* Unmake() calls when there are different exit points. *
* *
************************************************************
*/
value =
SearchMove(tree, ply, depth, wtm, alpha, t_beta, beta, extend,
reduce, check);
if (value > alpha) {
status = IN_WINDOW;
if (value >= beta)
status = FAIL_HIGH;
if (mode == parallel && ply == 1)
status = FAIL_HIGH;
}
} while (0);
UnmakeMove(tree, ply, wtm, tree->curmv[ply]);
if (abort_search || tree->stop)
break;
/*
************************************************************
* *
* Test 1. When we get here, we have made a move, *
* searched it (and re-searched if necessary/appropriate), *
* and the move has been unmade so that the board is in a *
* correct state. *
* *
* If status = FAIL_HIGH, the search failed high. The *
* first thing to handle is the case where we are at *
* ply=1, which is a special case. If we are going to *
* fail high here and terminate the search immediately, we *
* need to build the fail-high PV to back up to Iterate() *
* so it will produce the correct output and widen the *
* alpha/beta window. *
* *
* We then check to see if this is a parallel search. If *
* so then we are done here, but we need to tell all of *
* the siblings that are helping at this split point that *
* they should immediately stop searching here since we *
* don't need their results. *
* *
* Otherwise we update the killer moves and history *
* counters and store the fail-high information in the *
* trans/ref table for future use if we happen to reach *
* this position again. *
* *
************************************************************
*/
if (status == FAIL_HIGH) {
if (ply == 1) {
if (!tree->stop) {
tree->pv[1].path[1] = tree->curmv[1];
tree->pv[1].pathl = 2;
tree->pv[1].pathh = 0;
tree->pv[1].pathd = iteration;
tree->pv[0] = tree->pv[1];
}
}
#if (CPUS > 1)
if (mode == parallel) {
Lock(lock_smp);
Lock(tree->parent->lock);
if (!tree->stop) {
int proc;
parallel_aborts++;
for (proc = 0; proc < (int) smp_max_threads; proc++) // Pierre-Marie Baty -- added type cast
if (tree->parent->siblings[proc] && proc != tree->thread_id)
ThreadStop(tree->parent->siblings[proc]);
}
Unlock(tree->parent->lock);
Unlock(lock_smp);
return value;
}
#endif
tree->fail_highs++;
if (order == 1)
tree->fail_high_first_move++;
HashStore(tree, ply, depth, wtm, LOWER, value, tree->curmv[ply]);
History(tree, ply, depth, wtm, tree->curmv[ply], searched);
return beta;
/*
************************************************************
* *
* Test 2. If status = IN_WINDOW, this is a search that *
* improved alpha without failing high. We simply update *
* alpha and continue searching moves. *
* *
* Special case: If ply = 1 in a normal search, we have *
* a best move and score that just changed. We need to *
* update the root move list by adding the PV and the *
* score, and then we look to make sure this new "best *
* move" is not actually worse than the best we have found *
* so far this iteration. If it is worse, we restore the *
* best move and score from the real best move so our *
* search window won't be out of whack, which would let *
* moves with scores in between this bad move and the best *
* move fail high, cause re-searches, and waste time. *
* *
* If this is ply = 1, we display the PV to keep the user *
* informed. *
* *
************************************************************
*/
} else if (status == IN_WINDOW) {
alpha = value;
if (ply == 1 && mode == serial) {
tree->pv[1].pathv = value;
tree->pv[0] = tree->pv[1];
for (i = 0; i < n_root_moves; i++)
if (root_moves[i].move == tree->pv[1].path[1]) {
root_moves[i].path = tree->pv[1];
root_moves[i].path.pathv = alpha;
}
for (i = 0; i < n_root_moves; i++)
if (value < root_moves[i].path.pathv) {
value = root_moves[i].path.pathv;
alpha = value;
tree->pv[0] = root_moves[i].path;
tree->pv[1] = tree->pv[0];
}
Output(tree);
failhi_delta = 16;
faillo_delta = 16;
}
}
/*
************************************************************
* *
* Test 3. If status = ILLEGAL, this search was given an *
* illegal move and no search was done, we skip any *
* updating and simply select the next move to search. *
* *
************************************************************
*/
else if (status == ILLEGAL)
continue;
t_beta = alpha + 1;
/*
************************************************************
* *
* SMP. If are doing an SMP search, and we have idle *
* processors, now is the time to get them involved. We *
* have now satisfied the "young brothers wait" condition *
* since we have searched at least one move. All that is *
* left is to check the split constraints to see if this *
* is an acceptable split point. *
* *
* (1) We can't split within N plies of the frontier *
* nodes to avoid excessive split overhead. *
* *
* (2) We can't split until at least N nodes have been *
* searched since this thread was last split, to *
* avoid splitting too often, mainly in endgames. *
* *
* (3) We have to have searched one legal move to avoid *
* splitting at a node where we have no legal moves *
* (the first move tried might have been illegal as *
* in when we encounter a stalemate). *
* *
* (4) If we are at ply=1, we can't split unless the *
* smp_split_at_root flag is set to 1, AND the next *
* move in the ply=1 move list is not flagged as *
* "do not search in parallel" which happens when *
* this move was a best move in the last couple of *
* searches and we want all processors on it at once *
* to get a score back quicker. *
* *
* (5) if the variable smp_split is != 0, we have idle *
* threads that can help, which means we want to get *
* them involved quickly, OR if this node is an *
* acceptable "gratuitous-split" point by being far *
* enough from the tips of the tree to avoid *
* excessive overhead. *
* *
* We use this code recursively to perform a parallel *
* search at this ply. But when we finish a partial piece *
* of the search in parallel, we don't need to update any *
* search data structures, we will defer that until all of *
* parallel threads complete and return back into this *
* code after the parallel search has been collapsed back *
* to one instance of search at this ply. *
* *
* Special case: we do not split if we are at ply=1 and *
* alpha == original_alpha. That means the first move *
* failed low, and we are going to exit search and return *
* to Iterate() to report this. *
* *
* In Generation II, multiple threads can reach this point *
* at the same time. We allow multiple threads to split *
* at the same time, but then the idle threads will choose *
* to join the thread with the most attractive split point *
* rather than just taking pot-luck. The only limitation *
* on a thread adding a split point here is that if the *
* thread already has enough joinable split points have *
* not been joined yet, we do not incur the overhead of *
* creating another split point until the existing split *
* point is completed or a thread joins at at that point. *
* *
* We do not lock anything here, as the split operation *
* only affects thread-local data. When the split is done *
* then the ThreadJoin() function will acquire the lock *
* needed to avoid race conditions during the join op- *
* eration. *
* *
************************************************************
*/
#if (CPUS > 1)
if (mode == serial && moves_done && smp_threads &&
ThreadSplit(tree, ply, depth, alpha, original_alpha, moves_done))
do {
tree->alpha = alpha;
tree->beta = beta;
tree->value = alpha;
tree->wtm = wtm;
tree->ply = ply;
tree->depth = depth;
tree->in_check = in_check;
tree->searched = searched;
if (Split(tree)) {
if (abort_search || tree->stop)
return 0;
value = tree->value;
if (value > alpha) {
if (ply == 1)
tree->pv[0] = tree->pv[1];
if (value >= beta) {
HashStore(tree, ply, depth, wtm, LOWER, value, tree->cutmove);
return value;
}
alpha = value;
break;
}
}
} while (0);
#endif
}
/*
************************************************************
* *
* SMP Cleanup. If we are doing an SMP search, there are *
* no "end-of-search" things to do. We have searched all *
* the remaining moves at this ply in parallel, and now *
* return and let the original search that started this *
* sub-tree clean up, do the tests for mate/stalemate, *
* update the hash table, etc. *
* *
* As we return, we end back up in Thread() where we *
* started, which then copies the best score/etc back to *
* the parent thread. *
* *
************************************************************
*/
if (abort_search || tree->stop || mode == parallel)
return alpha;
/*
************************************************************
* *
* Search completed. All moves have been searched. If *
* none were legal, return either MATE or DRAW depending *
* on whether the side to move is in check or not. *
* *
************************************************************
*/
if (moves_done == 0) {
value = (Check(wtm)) ? -(MATE - ply) : DrawScore(wtm);
if (value >= alpha && value < beta) {
SavePV(tree, ply, 0);
#if defined(TRACE)
if (ply <= trace_level)
printf("Search() no moves! ply=%d\n", ply
); #endif
}
return value;
} else {
bestmove =
(alpha ==
original_alpha) ? tree->hash_move[ply] : tree->pv[ply].path[ply];
type = (alpha == original_alpha) ? UPPER : EXACT;
if (repeat == 2 && alpha != -(MATE - ply - 1)) {
value = DrawScore(wtm);
if (value < beta)
SavePV(tree, ply, 4);
#if defined(TRACE)
if (ply <= trace_level)
printf("draw by 50 move rule detected, ply=%d.\n", ply
); #endif
return value;
} else if (alpha != original_alpha) {
tree->pv[ply - 1] = tree->pv[ply];
tree->pv[ply - 1].path[ply - 1] = tree->curmv[ply - 1];
}
HashStore(tree, ply, depth, wtm, type, alpha, bestmove);
return alpha;
}
}
/* last modified 07/01/15 */
/*
*******************************************************************************
* *
* SearchMove() implements the PVS search and returns the value. We do a *
* null-window search with the window (alpha, t_beta) and if that fails high *
* we repeat the search with the window {alpha, beta} assuming that beta != *
* t_beta. *
* *
*******************************************************************************
*/
int SearchMove(TREE * RESTRICT tree, int ply, int depth, int wtm, int alpha,
int t_beta, int beta, int extend, int reduce, int check) {
int value;
/*
************************************************************
* *
* PVS search. We have determined whether the depth is to *
* be changed by an extension or a reduction. If we get *
* to this point, then the move is not being pruned. So *
* off we go to a recursive search/quiescence call to work *
* our way toward a terminal node. *
* *
* There is one special-case to handle. If the depth was *
* reduced, and Search() returns a value >= beta then *
* accepting that is risky (we reduced the move as we *
* thought it was bad and expected it to fail low) so we *
* repeat the search using the original (non-reduced) *
* depth to see if the fail-high happens again. *
* *
************************************************************
*/
if (depth + extend - reduce - 1 > 0) {
value =
-Search(tree, ply + 1, depth + extend - reduce - 1, Flip(wtm),
-t_beta, -alpha, check, DO_NULL);
if (value > alpha && reduce) {
value =
-Search(tree, ply + 1, depth - 1, Flip(wtm), -t_beta, -alpha, check,
DO_NULL);
}
} else
value = -Quiesce(tree, ply + 1, Flip(wtm), -t_beta, -alpha, 1);
if (abort_search || tree->stop)
return 0;
/*
************************************************************
* *
* PVS re-search. This is the PVS re-search code. If we *
* reach this point and value > alpha and value < beta, *
* then this can not be a null-window search. We have to *
* re-search the position with the original beta value *
* to see if it still fails high before we treat this as a *
* real fail-high and back up the value to the previous *
* ply. *
* *
************************************************************
*/
if (value > alpha && value < beta && t_beta < beta) {
if (ply == 1)
return beta;
if (depth + extend - 1 > 0)
value =
-Search(tree, ply + 1, depth + extend - 1, Flip(wtm), -beta, -alpha,
check, DO_NULL);
else
value = -Quiesce(tree, ply + 1, Flip(wtm), -beta, -alpha, 1);
if (abort_search || tree->stop)
return 0;
}
return value;
}