/* * lmms_math.h - defines math functions * * Copyright (c) 2004-2008 Tobias Doerffel * * This file is part of LMMS - https://lmms.io * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public * License as published by the Free Software Foundation; either * version 2 of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public * License along with this program (see COPYING); if not, write to the * Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, * Boston, MA 02110-1301 USA. * */ #ifndef LMMS_MATH_H #define LMMS_MATH_H #include #include #include #include #include #include #include "lmms_constants.h" #include "lmmsconfig.h" namespace lmms { inline bool approximatelyEqual(float x, float y) { return x == y ? true : std::abs(x - y) < F_EPSILON; } /*! * @brief Returns the fractional part of a float, a value between -1.0f and 1.0f. * * fraction( 2.3) => 0.3 * fraction(-2.3) => -0.3 * * Note that if the return value is used as a phase of an oscillator, that the oscillator must support * negative phases. */ inline float fraction(const float x) { return x - std::trunc(x); } /*! * @brief Returns the wrapped fractional part of a float, a value between 0.0f and 1.0f. * * absFraction( 2.3) => 0.3 * absFraction(-2.3) => 0.7 * * Note that this not the same as the absolute value of the fraction (as the function name suggests). * If the result is interpreted as a phase of an oscillator, it makes that negative phases are * converted to positive phases. */ inline float absFraction(const float x) { return x - std::floor(x); } constexpr float FAST_RAND_RATIO = 1.0f / 32767; inline int fast_rand() { static unsigned long next = 1; next = next * 1103515245 + 12345; return( (unsigned)( next / 65536 ) % 32768 ); } inline float fastRandf(float range) { return fast_rand() * range * FAST_RAND_RATIO; } //! Round `value` to `where` depending on step size template static void roundAt(T& value, const T& where, const T& stepSize) { if (std::abs(value - where) < F_EPSILON * std::abs(stepSize)) { value = where; } } //! Source: http://martin.ankerl.com/2007/10/04/optimized-pow-approximation-for-java-and-c-c/ inline double fastPow(double a, double b) { double d; std::int32_t x[2]; std::memcpy(x, &a, sizeof(x)); x[1] = static_cast(b * (x[1] - 1072632447) + 1072632447); x[0] = 0; std::memcpy(&d, x, sizeof(d)); return d; } //! returns 1.0f if val >= 0.0f, -1.0 else inline float sign(float val) { return val >= 0.0f ? 1.0f : -1.0f; } //! if val >= 0.0f, returns sqrtf(val), else: -sqrtf(-val) inline float sqrt_neg(float val) { return std::sqrt(std::abs(val)) * sign(val); } //! @brief Exponential function that deals with negative bases inline float signedPowf(float v, float e) { return std::pow(std::abs(v), e) * sign(v); } //! @brief Scales @value from linear to logarithmic. //! Value should be within [0,1] inline float logToLinearScale(float min, float max, float value) { if( min < 0 ) { const float mmax = std::max(std::abs(min), std::abs(max)); const float val = value * ( max - min ) + min; float result = signedPowf( val / mmax, F_E ) * mmax; return std::isnan( result ) ? 0 : result; } float result = powf( value, F_E ) * ( max - min ) + min; return std::isnan( result ) ? 0 : result; } //! @brief Scales value from logarithmic to linear. Value should be in min-max range. inline float linearToLogScale(float min, float max, float value) { static const float EXP = 1.0f / F_E; const float valueLimited = std::clamp(value, min, max); const float val = ( valueLimited - min ) / ( max - min ); if( min < 0 ) { const float mmax = std::max(std::abs(min), std::abs(max)); float result = signedPowf( valueLimited / mmax, EXP ) * mmax; return std::isnan( result ) ? 0 : result; } float result = powf( val, EXP ) * ( max - min ) + min; return std::isnan( result ) ? 0 : result; } inline float fastPow10f(float x) { return std::exp(2.302585092994046f * x); } inline float fastLog10f(float x) { return std::log(x) * 0.4342944819032518f; } //! @brief Converts linear amplitude (>0-1.0) to dBFS scale. //! @param amp Linear amplitude, where 1.0 = 0dBFS. ** Must be larger than zero! ** //! @return Amplitude in dBFS. inline float ampToDbfs(float amp) { return fastLog10f(amp) * 20.0f; } //! @brief Converts dBFS-scale to linear amplitude with 0dBFS = 1.0 //! @param dbfs The dBFS value to convert. ** Must be a real number - not inf/nan! ** //! @return Linear amplitude inline float dbfsToAmp(float dbfs) { return fastPow10f(dbfs * 0.05f); } //! @brief Converts linear amplitude (0-1.0) to dBFS scale. Handles zeroes as -inf. //! @param amp Linear amplitude, where 1.0 = 0dBFS. //! @return Amplitude in dBFS. -inf for 0 amplitude. inline float safeAmpToDbfs(float amp) { return amp == 0.0f ? -INFINITY : ampToDbfs(amp); } //! @brief Converts dBFS-scale to linear amplitude with 0dBFS = 1.0. Handles infinity as zero. //! @param dbfs The dBFS value to convert: all infinites are treated as -inf and result in 0 //! @return Linear amplitude inline float safeDbfsToAmp(float dbfs) { return std::isinf(dbfs) ? 0.0f : dbfsToAmp(dbfs); } //! Returns the linear interpolation of the two values template constexpr T lerp(T a, T b, F t) { return (1. - t) * a + t * b; } // @brief Calculate number of digits which LcdSpinBox would show for a given number // @note Once we upgrade to C++20, we could probably use std::formatted_size inline int numDigitsAsInt(float f) { // use rounding: // LcdSpinBox sometimes uses std::round(), sometimes cast rounding // we use rounding to be on the "safe side" int asInt = static_cast(std::round(f)); int digits = 1; // always at least 1 if(asInt < 0) { ++digits; asInt = -asInt; } // "asInt" is positive from now int power = 1; for (int i = 1; i < 10; ++i) { power *= 10; if (asInt >= power) { ++digits; } // 2 digits for >=10, 3 for >=100 else { break; } } return digits; } template class LinearMap { public: LinearMap(T x1, T y1, T x2, T y2) { T const dx = x2 - x1; assert (dx != T(0)); m_a = (y2 - y1) / dx; m_b = y1 - m_a * x1; } T map(T x) const { return m_a * x + m_b; } private: T m_a; T m_b; }; } // namespace lmms #endif // LMMS_MATH_H