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Little code style tweaks 

Let the code be more conformant to current style.

No functional change.

Signed-off-by: Marco Costalba <mcostalba@gmail.com>
sf_2.3.1_base
Marco Costalba 2009-04-15 12:44:55 +02:00
parent 8da2153ee8
commit ecec7dbf89
2 changed files with 71 additions and 109 deletions
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1
src/misc.h
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@ -47,7 +47,6 @@ const std::string EngineVersion = "";
#define Min(x, y) (((x) < (y))? (x) : (y))
#define Max(x, y) (((x) < (y))? (y) : (x))
#define Abs(a) (((a) < 0) ? -(a) : (a))
////

179
src/search.cpp
View File

@ -47,57 +47,24 @@ namespace {
/// Types
//The IterationInfoType is used to store search history
//iteration by iteration.
// IterationInfoType stores search results for each iteration
//
//Because we use relatively small (dynamic) aspiration window,
//there happens many fail highs and fail lows in root. And
//because we don't do researches in those cases, "value" stored
//here is not necessarily exact. Instead in case of fail high/low
//we guess what the right value might be and store our guess
//as "speculated value" and then move on...
// Because we use relatively small (dynamic) aspiration window,
// there happens many fail highs and fail lows in root. And
// because we don't do researches in those cases, "value" stored
// here is not necessarily exact. Instead in case of fail high/low
// we guess what the right value might be and store our guess
// as a "speculated value" and then move on. Speculated values are
// used just to calculate aspiration window width, so also if are
// not exact is not big a problem.
class IterationInfoType {
private:
Value _value;
Value _speculatedValue;
bool _failHigh;
bool _failLow;
public:
IterationInfoType() {
clear();
}
struct IterationInfoType {
inline void clear() {
set(Value(0));
}
IterationInfoType(Value v = Value(0), Value sv = Value(0), bool fh = false, bool fl = false)
: value(v), speculatedValue(sv), failHigh(fh), failLow(fl) {}
inline void set(Value v) {
set(v, v, false, false);
}
inline void set(Value v, Value specV, bool fHigh, bool fLow) {
_value = v;
_speculatedValue = specV;
_failHigh = fHigh;
_failLow = fLow;
}
inline Value value() {
return _value;
}
inline Value speculated_value() {
return _speculatedValue;
}
inline bool fail_high() {
return _failHigh;
}
inline bool fail_low() {
return _failLow;
}
Value value, speculatedValue;
bool failHigh, failLow;
};
@ -301,14 +268,10 @@ namespace {
/// Functions
Value id_loop(const Position &pos, Move searchMoves[]);
Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml,
Value alpha, Value beta);
Value search_pv(Position &pos, SearchStack ss[], Value alpha, Value beta,
Depth depth, int ply, int threadID);
Value search(Position &pos, SearchStack ss[], Value beta,
Depth depth, int ply, bool allowNullmove, int threadID);
Value qsearch(Position &pos, SearchStack ss[], Value alpha, Value beta,
Depth depth, int ply, int threadID);
Value root_search(Position &pos, SearchStack ss[], RootMoveList &rml, Value alpha, Value beta);
Value search_pv(Position &pos, SearchStack ss[], Value alpha, Value beta, Depth depth, int ply, int threadID);
Value search(Position &pos, SearchStack ss[], Value beta, Depth depth, int ply, bool allowNullmove, int threadID);
Value qsearch(Position &pos, SearchStack ss[], Value alpha, Value beta, Depth depth, int ply, int threadID);
void sp_search(SplitPoint *sp, int threadID);
void sp_search_pv(SplitPoint *sp, int threadID);
void init_node(SearchStack ss[], int ply, int threadID);
@ -711,7 +674,7 @@ namespace {
ss[i].init(i);
ss[i].initKillers();
}
IterationInfo[1].set(rml.get_move_score(0));
IterationInfo[1] = IterationInfoType(rml.get_move_score(0), rml.get_move_score(0));
Iteration = 1;
EasyMove = rml.scan_for_easy_move();
@ -728,59 +691,60 @@ namespace {
std::cout << "info depth " << Iteration << std::endl;
//Calculate dynamic search window based on previous iterations.
Value alpha;
Value beta;
// Calculate dynamic search window based on previous iterations
Value alpha, beta;
if (MultiPV == 1 && Iteration >= 6) {
Value prevDelta1 = IterationInfo[Iteration - 1].speculated_value() - IterationInfo[Iteration - 2].speculated_value();
Value prevDelta2 = IterationInfo[Iteration - 2].speculated_value() - IterationInfo[Iteration - 3].speculated_value();
if (MultiPV == 1 && Iteration >= 6)
{
int prevDelta1 = IterationInfo[Iteration - 1].speculatedValue - IterationInfo[Iteration - 2].speculatedValue;
int prevDelta2 = IterationInfo[Iteration - 2].speculatedValue - IterationInfo[Iteration - 3].speculatedValue;
Value delta = Max((2 * Abs(prevDelta1) + Abs(prevDelta2)) , ProblemMargin);
int delta = Max(2 * abs(prevDelta1) + abs(prevDelta2), ProblemMargin);
alpha = IterationInfo[Iteration - 1].value() - delta;
beta = IterationInfo[Iteration - 1].value() + delta;
if (alpha < - VALUE_INFINITE) alpha = - VALUE_INFINITE;
if (beta > VALUE_INFINITE) beta = VALUE_INFINITE;
} else {
alpha = - VALUE_INFINITE;
beta = VALUE_INFINITE;
alpha = Max(IterationInfo[Iteration - 1].value - delta, -VALUE_INFINITE);
beta = Min(IterationInfo[Iteration - 1].value + delta, VALUE_INFINITE);
}
else
{
alpha = - VALUE_INFINITE;
beta = VALUE_INFINITE;
}
// Search to the current depth
Value value = root_search(p, ss, rml, alpha, beta);
if (AbortSearch)
break; //Value cannot be trusted. Break out immediately!
break; // Value cannot be trusted. Break out immediately!
// Write PV to transposition table, in case the relevant entries have
// been overwritten during the search:
// been overwritten during the search.
TT.insert_pv(p, ss[0].pv);
//Save info about search result
Value speculated_value = value;
Value speculatedValue;
bool fHigh = false;
bool fLow = false;
Value delta = value - IterationInfo[Iteration - 1].value;
Value prev_value = IterationInfo[Iteration - 1].value();
Value delta = value - prev_value;
if (value >= beta)
{
assert(delta > 0);
if (value >= beta) {
fHigh = true;
speculated_value = prev_value + 2 * delta;
BestMoveChangesByIteration[Iteration] += 2; //This is used to tell time management to allocate more time
} else if (value <= alpha) {
fLow = true;
speculated_value = prev_value + 2 * delta;
BestMoveChangesByIteration[Iteration] += 3; //This is used to tell time management to allocate more time
} else {
//nothing
fHigh = true;
speculatedValue = value + delta;
BestMoveChangesByIteration[Iteration] += 2; // Allocate more time
}
else if (value <= alpha)
{
assert(delta < 0);
if (speculated_value < - VALUE_INFINITE) speculated_value = - VALUE_INFINITE;
if (speculated_value > VALUE_INFINITE) speculated_value = VALUE_INFINITE;
fLow = true;
speculatedValue = value + delta;
BestMoveChangesByIteration[Iteration] += 3; // Allocate more time
} else
speculatedValue = value;
IterationInfo[Iteration].set(value, speculated_value, fHigh, fLow);
speculatedValue = Min(Max(speculatedValue, -VALUE_INFINITE), VALUE_INFINITE);
IterationInfo[Iteration] = IterationInfoType(value, speculatedValue, fHigh, fLow);
// Erase the easy move if it differs from the new best move
if (ss[0].pv[0] != EasyMove)
@ -799,13 +763,15 @@ namespace {
// Stop search early when the last two iterations returned a mate score
if ( Iteration >= 6
&& abs(IterationInfo[Iteration].value()) >= abs(VALUE_MATE) - 100
&& abs(IterationInfo[Iteration-1].value()) >= abs(VALUE_MATE) - 100)
&& abs(IterationInfo[Iteration].value) >= abs(VALUE_MATE) - 100
&& abs(IterationInfo[Iteration-1].value) >= abs(VALUE_MATE) - 100)
stopSearch = true;
// Stop search early if one move seems to be much better than the rest
int64_t nodes = nodes_searched();
if ( Iteration >= 8 && !fLow && !fHigh
if ( Iteration >= 8
&& !fLow
&& !fHigh
&& EasyMove == ss[0].pv[0]
&& ( ( rml.get_move_cumulative_nodes(0) > (nodes * 85) / 100
&& current_search_time() > MaxSearchTime / 16)
@ -899,12 +865,11 @@ namespace {
// Loop through all the moves in the root move list
for (int i = 0; i < rml.move_count() && !AbortSearch; i++)
{
if (alpha >= beta) {
rml.set_move_score(i, -VALUE_INFINITE);
//Leave node-counters and beta-counters as they are.
continue;
if (alpha >= beta)
{
rml.set_move_score(i, -VALUE_INFINITE);
continue; // Leave node-counters and beta-counters as they are
}
int64_t nodes;
Move move;
StateInfo st;
@ -942,7 +907,7 @@ namespace {
// set the boolean variable Problem to true. This variable is used
// for time managment: When Problem is true, we try to complete the
// current iteration before playing a move.
Problem = (Iteration >= 2 && value <= IterationInfo[Iteration-1].value() - ProblemMargin);
Problem = (Iteration >= 2 && value <= IterationInfo[Iteration-1].value - ProblemMargin);
if (Problem && StopOnPonderhit)
StopOnPonderhit = false;
@ -967,7 +932,7 @@ namespace {
// was aborted because the user interrupted the search or because we
// ran out of time. In this case, the return value of the search cannot
// be trusted, and we break out of the loop without updating the best
// move and/or PV:
// move and/or PV.
if (AbortSearch)
break;
@ -1019,11 +984,11 @@ namespace {
<< std::endl;
if (value > alpha)
alpha = value;
alpha = value;
// Reset the global variable Problem to false if the value isn't too
// far below the final value from the last iteration.
if (value > IterationInfo[Iteration - 1].value() - NoProblemMargin)
if (value > IterationInfo[Iteration - 1].value - NoProblemMargin)
Problem = false;
}
else // MultiPV > 1
@ -1047,13 +1012,11 @@ namespace {
}
alpha = rml.get_move_score(Min(i, MultiPV-1));
}
}
} // New best move case
if (alpha <= oldAlpha)
FailLow = true;
else
FailLow = false;
assert(alpha >= oldAlpha);
FailLow = (alpha == oldAlpha);
}
return alpha;
}
@ -1202,7 +1165,7 @@ namespace {
// (from the computer's point of view) since the previous iteration:
if ( ply == 1
&& Iteration >= 2
&& -value <= IterationInfo[Iteration-1].value() - ProblemMargin)
&& -value <= IterationInfo[Iteration-1].value - ProblemMargin)
Problem = true;
}
@ -1915,7 +1878,7 @@ namespace {
// (from the computer's point of view) since the previous iteration.
if ( sp->ply == 1
&& Iteration >= 2
&& -value <= IterationInfo[Iteration-1].value() - ProblemMargin)
&& -value <= IterationInfo[Iteration-1].value - ProblemMargin)
Problem = true;
}
lock_release(&(sp->lock));