inline Move get_move_pv(int moveNum, int i) const;
inline int64_t get_move_cumulative_nodes(int moveNum) const;
inline int move_count() const;
- Move scan_for_easy_move() const;
inline void sort();
void sort_multipv(int n);
<< " moves to go: " << movesToGo << std::endl;
- // We're ready to start thinking. Call the iterative deepening loop function
- //
- // FIXME we really need to cleanup all this LSN ugliness
- if (!loseOnTime)
+ // LSN filtering. Used only for developing purpose. Disabled by default.
+ if (UseLSNFiltering)
{
- Value v = id_loop(pos, searchMoves);
- loseOnTime = ( UseLSNFiltering
- && myTime < LSNTime
- && myIncrement == 0
- && v < -LSNValue);
+ // Step 2. If after last move we decided to lose on time, do it now!
+ if ( loseOnTime
+ && myTime < LSNTime // double check: catches some very rear false positives!
+ && myIncrement == 0
+ && movesToGo == 0)
+ {
+ while (SearchStartTime + myTime + 1000 > get_system_time())
+ ; // wait here
+ } else if (loseOnTime) // false positive, reset flag
+ loseOnTime = false;
}
- else
+
+ // We're ready to start thinking. Call the iterative deepening loop function
+ Value v = id_loop(pos, searchMoves);
+
+ // LSN filtering. Used only for developing purpose. Disabled by default.
+ if (UseLSNFiltering)
{
- loseOnTime = false; // reset for next match
- while (SearchStartTime + myTime + 1000 > get_system_time())
- ; // wait here
- id_loop(pos, searchMoves); // to fail gracefully
+ // 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;
+ }
}
if (UseLogFile)
IterationInfo[1] = IterationInfoType(rml.get_move_score(0), rml.get_move_score(0));
Iteration = 1;
- Move EasyMove = rml.scan_for_easy_move();
+ // Is one move significantly better than others after initial scoring ?
+ Move EasyMove = MOVE_NONE;
+ if ( rml.move_count() == 1
+ || rml.get_move_score(0) > rml.get_move_score(1) + EasyMoveMargin)
+ EasyMove = rml.get_move(0);
// Iterative deepening loop
while (Iteration < PLY_MAX)
}
- // RootMoveList::scan_for_easy_move() is called at the end of the first
- // iteration, and is used to detect an "easy move", i.e. a move which appears
- // to be much bester than all the rest. If an easy move is found, the move
- // is returned, otherwise the function returns MOVE_NONE. It is very
- // important that this function is called at the right moment: The code
- // assumes that the first iteration has been completed and the moves have
- // been sorted. This is done in RootMoveList c'tor.
-
- Move RootMoveList::scan_for_easy_move() const {
-
- assert(count);
-
- if (count == 1)
- return get_move(0);
-
- // moves are sorted so just consider the best and the second one
- if (get_move_score(0) > get_move_score(1) + EasyMoveMargin)
- return get_move(0);
-
- return MOVE_NONE;
- }
-
// RootMoveList::sort() sorts the root move list at the beginning of a new
// iteration.