X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fmisc.h;h=4c1150f867be901191e04962c991973a0b592bfb;hb=31acd6bab70f4661316986c2c93163d39736fd61;hp=b962673384b97e2c9660cfd6e2aeee122ea385cd;hpb=2b0372319d2a6797c49cb24dca5da221a669e36a;p=stockfish

diff --git a/src/misc.h b/src/misc.h
index b9626733..4c1150f8 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
@@ -90,9 +90,6 @@ static inline const bool IsLittleEndian = (Le.c[0] == 4);
 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; }
@@ -102,10 +99,10 @@ class RunningAverage {
         { 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 :
@@ -119,55 +116,16 @@ class ValueList {
 
 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);
-   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).