X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fmisc.h;h=69d470c22f8a0098273781739411372d98771ad3;hb=38a80c0b47397dbdd9167ec1476dfd3c033020d6;hp=fe1143def0b35150eeedf51d3976baa46beb467e;hpb=0a01dd044f8a8f291127ebf60462773bf12c90c7;p=stockfish diff --git a/src/misc.h b/src/misc.h index fe1143de..69d470c2 100644 --- a/src/misc.h +++ b/src/misc.h @@ -1,6 +1,6 @@ /* 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 @@ -28,6 +28,9 @@ #include "types.h" +#define stringify2(x) #x +#define stringify(x) stringify2(x) + namespace Stockfish { std::string engine_info(bool to_uci = false); @@ -39,12 +42,13 @@ void std_aligned_free(void* ptr); 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 @@ -85,32 +89,6 @@ static inline const union { uint32_t i; char c[4]; } Le = { 0x01020304 }; static inline const bool IsLittleEndian = (Le.c[0] == 4); -// RunningAverage : a class to calculate a running average of a series of values. -// For efficiency, all computations are done with integers. -class RunningAverage { - public: - - // Reset the running average to rational value p / q - void set(int64_t p, int64_t q) - { average = p * PERIOD * RESOLUTION / q; } - - // Update average with value v - void update(int64_t v) - { 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) const - { return b * average > a * (PERIOD * RESOLUTION); } - - int64_t value() const - { return average / (PERIOD * RESOLUTION); } - - private : - static constexpr int64_t PERIOD = 4096; - static constexpr int64_t RESOLUTION = 1024; - int64_t average; -}; - template class ValueList { @@ -126,33 +104,6 @@ private: }; -/// 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, change sign of P -/// - mean value of the sigmoid is y0 -/// -/// Use 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); - assert(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). @@ -191,7 +142,7 @@ public: 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;