/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
- Copyright (C) 2004-2022 The Stockfish developers (see AUTHORS file)
+ Copyright (C) 2004-2023 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
void* aligned_large_pages_alloc(size_t size); // memory aligned by page size, min alignment: 4096 bytes
void aligned_large_pages_free(void* mem); // nop if mem == nullptr
-void dbg_hit_on(bool b);
-void dbg_hit_on(bool c, bool b);
-void dbg_mean_of(int v);
+void dbg_hit_on(bool cond, int slot = 0);
+void dbg_mean_of(int64_t value, int slot = 0);
+void dbg_stdev_of(int64_t value, int slot = 0);
+void dbg_correl_of(int64_t value1, int64_t value2, int slot = 0);
void dbg_print();
-typedef std::chrono::milliseconds::rep TimePoint; // A value in milliseconds
+using TimePoint = std::chrono::milliseconds::rep; // A value in milliseconds
static_assert(sizeof(TimePoint) == sizeof(int64_t), "TimePoint should be 64 bits");
inline TimePoint now() {
return std::chrono::duration_cast<std::chrono::milliseconds>
class RunningAverage {
public:
- // Constructor
- RunningAverage() {}
-
// Reset the running average to rational value p / q
void set(int64_t p, int64_t q)
{ average = p * PERIOD * RESOLUTION / q; }
{ average = RESOLUTION * v + (PERIOD - 1) * average / PERIOD; }
// Test if average is strictly greater than rational a / b
- bool is_greater(int64_t a, int64_t b)
- { return b * average > a * PERIOD * RESOLUTION ; }
+ bool is_greater(int64_t a, int64_t b) const
+ { return b * average > a * (PERIOD * RESOLUTION); }
- int64_t value()
+ int64_t value() const
{ return average / (PERIOD * RESOLUTION); }
private :
public:
std::size_t size() const { return size_; }
- void resize(std::size_t newSize) { size_ = newSize; }
void push_back(const T& value) { values_[size_++] = value; }
- T& operator[](std::size_t index) { return values_[index]; }
- T* begin() { return values_; }
- T* end() { return values_ + size_; }
- const T& operator[](std::size_t index) const { return values_[index]; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
- void swap(ValueList& other) {
- const std::size_t maxSize = std::max(size_, other.size_);
- for (std::size_t i = 0; i < maxSize; ++i) {
- std::swap(values_[i], other.values_[i]);
- }
- std::swap(size_, other.size_);
- }
-
private:
T values_[MaxSize];
std::size_t size_ = 0;
};
-/// sigmoid(t, x0, y0, C, P, Q) implements a sigmoid-like function using only integers,
-/// with the following properties:
-///
-/// - sigmoid is centered in (x0, y0)
-/// - sigmoid has amplitude [-P/Q , P/Q] instead of [-1 , +1]
-/// - limit is (y0 - P/Q) when t tends to -infinity
-/// - limit is (y0 + P/Q) when t tends to +infinity
-/// - the slope can be adjusted using C > 0, smaller C giving a steeper sigmoid
-/// - the slope of the sigmoid when t = x0 is P/(Q*C)
-/// - sigmoid is increasing with t when P > 0 and Q > 0
-/// - to get a decreasing sigmoid, call with -t, or change sign of P
-/// - mean value of the sigmoid is y0
-///
-/// Use <https://www.desmos.com/calculator/jhh83sqq92> to draw the sigmoid
-
-inline int64_t sigmoid(int64_t t, int64_t x0,
- int64_t y0,
- int64_t C,
- int64_t P,
- int64_t Q)
-{
- assert(C > 0 && Q != 0);
- return y0 + P * (t-x0) / (Q * (std::abs(t-x0) + C)) ;
-}
-
-
/// xorshift64star Pseudo-Random Number Generator
/// This class is based on original code written and dedicated
/// to the public domain by Sebastiano Vigna (2014).
inline uint64_t mul_hi64(uint64_t a, uint64_t b) {
#if defined(__GNUC__) && defined(IS_64BIT)
- __extension__ typedef unsigned __int128 uint128;
+ __extension__ using uint128 = unsigned __int128;
return ((uint128)a * (uint128)b) >> 64;
#else
uint64_t aL = (uint32_t)a, aH = a >> 32;