/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
- Copyright (c) 2013 Ronald de Man
- Copyright (C) 2016-2020 Marco Costalba, Lucas Braesch
+ Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
#include <windows.h>
#endif
-using namespace Tablebases;
+using namespace Stockfish::Tablebases;
-int Tablebases::MaxCardinality;
+int Stockfish::Tablebases::MaxCardinality;
+
+namespace Stockfish {
namespace {
constexpr int TBPIECES = 7; // Max number of supported pieces
enum { BigEndian, LittleEndian };
-enum TBType { KEY, WDL, DTZ }; // Used as template parameter
+enum TBType { WDL, DTZ }; // Used as template parameter
// Each table has a set of flags: all of them refer to DTZ tables, the last one to WDL tables
enum TBFlag { STM = 1, Mapped = 2, WinPlies = 4, LossPlies = 8, Wide = 16, SingleValue = 128 };
int MapA1D1D4[SQUARE_NB];
int MapKK[10][SQUARE_NB]; // [MapA1D1D4][SQUARE_NB]
-int Binomial[6][SQUARE_NB]; // [k][n] k elements from a set of n elements
+int Binomial[7][SQUARE_NB]; // [k][n] k elements from a set of n elements
int LeadPawnIdx[6][SQUARE_NB]; // [leadPawnsCnt][SQUARE_NB]
int LeadPawnsSize[6][4]; // [leadPawnsCnt][FILE_A..FILE_D]
*mapping = statbuf.st_size;
*baseAddress = mmap(nullptr, statbuf.st_size, PROT_READ, MAP_SHARED, fd, 0);
+#if defined(MADV_RANDOM)
madvise(*baseAddress, statbuf.st_size, MADV_RANDOM);
+#endif
::close(fd);
if (*baseAddress == MAP_FAILED)
// at init time, accessed at probe time.
class TBTables {
- typedef std::tuple<Key, TBTable<WDL>*, TBTable<DTZ>*> Entry;
+ struct Entry
+ {
+ Key key;
+ TBTable<WDL>* wdl;
+ TBTable<DTZ>* dtz;
+
+ template <TBType Type>
+ TBTable<Type>* get() const {
+ return (TBTable<Type>*)(Type == WDL ? (void*)wdl : (void*)dtz);
+ }
+ };
static constexpr int Size = 1 << 12; // 4K table, indexed by key's 12 lsb
static constexpr int Overflow = 1; // Number of elements allowed to map to the last bucket
void insert(Key key, TBTable<WDL>* wdl, TBTable<DTZ>* dtz) {
uint32_t homeBucket = (uint32_t)key & (Size - 1);
- Entry entry = std::make_tuple(key, wdl, dtz);
+ Entry entry{ key, wdl, dtz };
// Ensure last element is empty to avoid overflow when looking up
for (uint32_t bucket = homeBucket; bucket < Size + Overflow - 1; ++bucket) {
- Key otherKey = std::get<KEY>(hashTable[bucket]);
- if (otherKey == key || !std::get<WDL>(hashTable[bucket])) {
+ Key otherKey = hashTable[bucket].key;
+ if (otherKey == key || !hashTable[bucket].get<WDL>()) {
hashTable[bucket] = entry;
return;
}
// insert here and search for a new spot for the other element instead.
uint32_t otherHomeBucket = (uint32_t)otherKey & (Size - 1);
if (otherHomeBucket > homeBucket) {
- swap(entry, hashTable[bucket]);
+ std::swap(entry, hashTable[bucket]);
key = otherKey;
homeBucket = otherHomeBucket;
}
template<TBType Type>
TBTable<Type>* get(Key key) {
for (const Entry* entry = &hashTable[(uint32_t)key & (Size - 1)]; ; ++entry) {
- if (std::get<KEY>(*entry) == key || !std::get<Type>(*entry))
- return std::get<Type>(*entry);
+ if (entry->key == key || !entry->get<Type>())
+ return entry->get<Type>();
}
}
// I(k) = k * d->span + d->span / 2 (1)
// First step is to get the 'k' of the I(k) nearest to our idx, using definition (1)
- uint32_t k = idx / d->span;
+ uint32_t k = uint32_t(idx / d->span);
// Then we read the corresponding SparseIndex[] entry
uint32_t block = number<uint32_t, LittleEndian>(&d->sparseIndex[k].block);
// All the symbols of a given length are consecutive integers (numerical
// sequence property), so we can compute the offset of our symbol of
// length len, stored at the beginning of buf64.
- sym = (buf64 - d->base64[len]) >> (64 - len - d->minSymLen);
+ sym = Sym((buf64 - d->base64[len]) >> (64 - len - d->minSymLen));
// Now add the value of the lowest symbol of length len to get our symbol
sym += number<Sym, LittleEndian>(&d->lowestSym[len]);
std::swap(squares[0], *std::max_element(squares, squares + leadPawnsCnt, pawns_comp));
- tbFile = map_to_queenside(file_of(squares[0]));
+ tbFile = File(edge_distance(file_of(squares[0])));
}
// DTZ tables are one-sided, i.e. they store positions only for white to
if (entry->hasPawns) {
idx = LeadPawnIdx[leadPawnsCnt][squares[0]];
- std::sort(squares + 1, squares + leadPawnsCnt, pawns_comp);
+ std::stable_sort(squares + 1, squares + leadPawnsCnt, pawns_comp);
for (int i = 1; i < leadPawnsCnt; ++i)
idx += Binomial[i][MapPawns[squares[i]]];
if (!off_A1H8(squares[i]))
continue;
- if (off_A1H8(squares[i]) > 0) // A1-H8 diagonal flip: SQ_A3 -> SQ_C3
+ if (off_A1H8(squares[i]) > 0) // A1-H8 diagonal flip: SQ_A3 -> SQ_C1
for (int j = i; j < size; ++j)
squares[j] = Square(((squares[j] >> 3) | (squares[j] << 3)) & 63);
break;
while (d->groupLen[++next])
{
- std::sort(groupSq, groupSq + d->groupLen[next]);
+ std::stable_sort(groupSq, groupSq + d->groupLen[next]);
uint64_t n = 0;
// Map down a square if "comes later" than a square in the previous
d->sizeofBlock = 1ULL << *data++;
d->span = 1ULL << *data++;
- d->sparseIndexSize = (tbSize + d->span - 1) / d->span; // Round up
+ d->sparseIndexSize = size_t((tbSize + d->span - 1) / d->span); // Round up
auto padding = number<uint8_t, LittleEndian>(data++);
d->blocksNum = number<uint32_t, LittleEndian>(data); data += sizeof(uint32_t);
d->blockLengthSize = d->blocksNum + padding; // Padded to ensure SparseIndex[]
// so that d->lowestSym[i] >= d->lowestSym[i+1] (when read as LittleEndian).
// Starting from this we compute a base64[] table indexed by symbol length
// and containing 64 bit values so that d->base64[i] >= d->base64[i+1].
- // See http://www.eecs.harvard.edu/~michaelm/E210/huffman.pdf
+ // See https://en.wikipedia.org/wiki/Huffman_coding
for (int i = d->base64.size() - 2; i >= 0; --i) {
d->base64[i] = (d->base64[i + 1] + number<Sym, LittleEndian>(&d->lowestSym[i])
- number<Sym, LittleEndian>(&d->lowestSym[i + 1])) / 2;
if (e.ready.load(std::memory_order_acquire))
return e.baseAddress; // Could be nullptr if file does not exist
- std::unique_lock<std::mutex> lk(mutex);
+ std::scoped_lock<std::mutex> lk(mutex);
if (e.ready.load(std::memory_order_relaxed)) // Recheck under lock
return e.baseAddress;
auto moveList = MoveList<LEGAL>(pos);
size_t totalCount = moveList.size(), moveCount = 0;
- for (const Move& move : moveList)
+ for (const Move move : moveList)
{
if ( !pos.capture(move)
&& (!CheckZeroingMoves || type_of(pos.moved_piece(move)) != PAWN))
Binomial[0][0] = 1;
for (int n = 1; n < 64; n++) // Squares
- for (int k = 0; k < 6 && k <= n; ++k) // Pieces
+ for (int k = 0; k < 7 && k <= n; ++k) // Pieces
Binomial[k][n] = (k > 0 ? Binomial[k - 1][n - 1] : 0)
+ (k < n ? Binomial[k ][n - 1] : 0);
LeadPawnsSize[leadPawnsCnt][f] = idx;
}
- // Add entries in TB tables if the corresponding ".rtbw" file exsists
+ // Add entries in TB tables if the corresponding ".rtbw" file exists
for (PieceType p1 = PAWN; p1 < KING; ++p1) {
TBTables.add({KING, p1, KING});
// If n = 100 immediately after a capture or pawn move, then the position
// is also certainly a win, and during the whole phase until the next
// capture or pawn move, the inequality to be preserved is
-// dtz + 50-movecounter <= 100.
+// dtz + 50-move-counter <= 100.
//
// In short, if a move is available resulting in dtz + 50-move-counter <= 99,
// then do not accept moves leading to dtz + 50-move-counter == 100.
StateInfo st;
int minDTZ = 0xFFFF;
- for (const Move& move : MoveList<LEGAL>(pos))
+ for (const Move move : MoveList<LEGAL>(pos))
{
bool zeroing = pos.capture(move) || type_of(pos.moved_piece(move)) == PAWN;
return true;
}
+
+} // namespace Stockfish
projects / stockfish / blobdiff