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/*************************************************************************
* 2019 Janek Kozicki *
* *
* This program is free software; it is licensed under the terms of the *
* GNU General Public License v2 or later. See file LICENSE for details. *
*************************************************************************/
// NOTE: add more functions as necessary, but remember to add them in py/high-precision/_math.cpp, py/tests/testMath.py and py/tests/testMathHelper.py
// This file contains mathematical functions available in standard library and boost library.
// https://en.cppreference.com/w/cpp/numeric/math
// https://en.cppreference.com/w/cpp/numeric/special_functions
// They have to be provided here as inline redirections towards the correct implementation, depending on what precision type yade is being compiled with.
// This is the only way to make sure that ::std, ::boost::math, ::boost::multiprecision are all called correctly.
// TODO: Boost documentation recommends to link with tr1: -lboost_math_tr1 as it provides significant speedup. For example replace boost::math::acosh(x) ↔ boost::math::tr1::acosh(x)
// https://www.boost.org/doc/libs/1_71_0/libs/math/doc/html/math_toolkit/overview_tr1.html
//#include <boost/math/tr1.hpp>
#ifndef YADE_MATH_REAL_FUNCIONS_HPP
#define YADE_MATH_REAL_FUNCIONS_HPP
#include <boost/config.hpp>
#include <boost/math/complex.hpp>
#include <boost/math/constants/constants.hpp>
#include <boost/math/tools/config.hpp>
#include <boost/random.hpp>
#include <cmath>
#include <complex>
#include <cstdlib>
#include <limits>
#include <utility>
#ifndef YADE_REAL_MATH_NAMESPACE
#error "This file cannot be included alone, include Real.hpp instead"
#endif
namespace forCtags {
struct MathFunctions {
}; // for ctags
}
// If cmake forgot to set YADE_IGNORE_IEEE_INFINITY_NAN along with -Ofast then set it here. It is to make sure that Infinity and NaN are supported only when available.
// It's is here for safety only, because if someone used -Ofast compilation flag (currently not available in CMakeLists.txt), then NaN Inf will not work unless
// these flags are used: -Ofast -fno-associative-math -fno-finite-math-only -fsigned-zeros (and maybe -march=native -mtune=native)
// The #if defined(__FAST_MATH__) detects if compiler -ffinite-math-only flag was passed, it is turned on by -Ofast.
// Comment this out, if some brave runtime speed -Ofast tests are to be performed.
#if ((not(defined(YADE_IGNORE_IEEE_INFINITY_NAN))) and (defined(__FAST_MATH__)))
#define YADE_IGNORE_IEEE_INFINITY_NAN
#endif
namespace yade {
namespace math {
/********************************************************************************************/
/********************** Real or Complex trigonometric functions **********************/
/********************************************************************************************/
// typename RC is a type which can be Real or Complex, Rr → only Real, Cc → only Complex.
// The check involving int Level = levelOfHP<RC> is necessary to make sure that function is called only with yade supported HP types.
// int Level is the N in RealHP<N>.
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type sin(const Rr& a)
{
using ::std::sin;
using YADE_REAL_MATH_NAMESPACE::sin;
return sin(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type sinh(const Rr& a)
{
using ::std::sinh;
using YADE_REAL_MATH_NAMESPACE::sinh;
return sinh(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type cos(const Rr& a)
{
using ::std::cos;
using YADE_REAL_MATH_NAMESPACE::cos;
return cos(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type cosh(const Rr& a)
{
using ::std::cosh;
using YADE_REAL_MATH_NAMESPACE::cosh;
return cosh(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type tan(const Rr& a)
{
using ::std::tan;
using YADE_REAL_MATH_NAMESPACE::tan;
return tan(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type tanh(const Rr& a)
{
using ::std::tanh;
using YADE_REAL_MATH_NAMESPACE::tanh;
return tanh(static_cast<const UnderlyingHP<Rr>&>(a));
}
// add more Real or Complex functions as necessary, but remember to add them in py/high-precision/_math.cpp, py/tests/testMath.py and py/tests/testMathHelper.py
/********************************************************************************************/
/********************** Real inverse trigonometric functions **********************/
/********************************************************************************************/
// The check involving int Level = levelOfRealHP<Rr> is necessary to make sure that function is called only with yade Real supported HP types.
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type asin(const Rr& a)
{
using ::std::asin;
using YADE_REAL_MATH_NAMESPACE::asin;
return asin(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type asinh(const Rr& a)
{
using ::std::asinh;
using YADE_REAL_MATH_NAMESPACE::asinh;
return asinh(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type acos(const Rr& a)
{
using ::std::acos;
using YADE_REAL_MATH_NAMESPACE::acos;
return acos(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type acosh(const Rr& a)
{
using ::std::acosh;
using YADE_REAL_MATH_NAMESPACE::acosh;
return acosh(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type atan(const Rr& a)
{
using ::std::atan;
using YADE_REAL_MATH_NAMESPACE::atan;
return atan(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type atanh(const Rr& a)
{
using ::std::atanh;
using YADE_REAL_MATH_NAMESPACE::atanh;
return atanh(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr atan2(const Rr& a, const Rr& b)
{
using ::std::atan2;
using YADE_REAL_MATH_NAMESPACE::atan2;
return atan2(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
/********************************************************************************************/
/********************** logarithm, exponential and power functions **********************/
/********************************************************************************************/
// Add more functions as necessary, but remember to add them in py/high-precision/_math.cpp, py/tests/testMath.py and py/tests/testMathHelper.py
// They can be converted to accept complex by changing levelOfRealHP<> → levelOfHP<>, provided that a complex version exists.
// But remember to add tests for complex versions in py/high-precision/_math.cpp, py/tests/testMath.py and py/tests/testMathHelper.py
template <typename Rr, int Level = levelOfRealHPAllow<Rr, int>>
inline typename boost::enable_if_c<isRealHP<PromoteHP<Rr>>, PromoteHP<Rr>>::type log(const Rr& a)
{
using ::std::log;
using YADE_REAL_MATH_NAMESPACE::log;
return log(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type log10(const Rr& a)
{
using ::std::log10;
using YADE_REAL_MATH_NAMESPACE::log10;
return log10(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr log1p(const Rr& a)
{
using ::std::log1p;
using YADE_REAL_MATH_NAMESPACE::log1p;
return log1p(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr log2(const Rr& a)
{
using ::std::log2;
using YADE_REAL_MATH_NAMESPACE::log2;
return log2(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr logb(const Rr& a)
{
using ::std::logb;
using YADE_REAL_MATH_NAMESPACE::logb;
return logb(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr ilogb(const Rr& a)
{
using ::std::ilogb;
using YADE_REAL_MATH_NAMESPACE::ilogb;
return ilogb(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr ldexp(const Rr& a, int b)
{
using ::std::ldexp;
using YADE_REAL_MATH_NAMESPACE::ldexp;
return ldexp(static_cast<const UnderlyingHP<Rr>&>(a), b);
}
// that's original C signature of this function
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr frexp(const Rr& a, int* b)
{
using ::std::frexp;
using YADE_REAL_MATH_NAMESPACE::frexp;
return frexp(static_cast<const UnderlyingHP<Rr>&>(a), b);
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type exp(const Rr& a)
{
using ::std::exp;
using YADE_REAL_MATH_NAMESPACE::exp;
return exp(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr exp2(const Rr& a)
{
using ::std::exp2;
using YADE_REAL_MATH_NAMESPACE::exp2;
return exp2(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr expm1(const Rr& a)
{
using ::std::expm1;
using YADE_REAL_MATH_NAMESPACE::expm1;
return expm1(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename A, typename B, int Level = levelOfRealHPAllow<A, int>, typename Rr = PromoteHP<A>>
inline typename boost::enable_if<std::is_convertible<B, Rr>, Rr>::type pow(const A& a, const B& b)
{
using ::std::pow;
using YADE_REAL_MATH_NAMESPACE::pow;
return pow(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr sqrt(const Rr& a)
{
using ::std::sqrt;
using YADE_REAL_MATH_NAMESPACE::sqrt;
return sqrt(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr cbrt(const Rr& a)
{
using ::std::cbrt;
using YADE_REAL_MATH_NAMESPACE::cbrt;
return cbrt(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr hypot(const Rr& a, const Rr& b)
{
using ::std::hypot;
using YADE_REAL_MATH_NAMESPACE::hypot;
return hypot(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
//YADE_WRAP_FUNC_3(hypot) // since C++17, could be very useful for us
/********************************************************************************************/
/********************** min, max, abs, sign, floor, ceil, etc... **********************/
/********************************************************************************************/
// Both must be found by automatic lookup: the ones from ::std and the ones that accept non-double Real types.
using ::std::abs;
using ::std::fabs;
using ::std::max; // this is inside ::yade::math namespace. It is not found by ADL in ::yade namespace when applied to int type or other non-Real type.
using ::std::min;
// It turns out that getting min, max to work properly is more tricky than it is for other math functions: https://svn.boost.org/trac10/ticket/11149
using YADE_REAL_MATH_NAMESPACE::max; // this refers to boost::multiprecision (or eventually to ::mpfr)
using YADE_REAL_MATH_NAMESPACE::min;
// make sure that min max can accept (double,Real) argument pairs such as: max(r,0.5);
template <typename Rr, int Level = levelOfRealHPExcept<Rr, double>> inline Rr max(const double& a, const Rr& b)
{
return max(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHPExcept<Rr, double>> inline Rr min(const double& a, const Rr& b)
{
return min(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHPExcept<Rr, double>> inline Rr max(const Rr& a, const double& b)
{
return max(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHPExcept<Rr, double>> inline Rr min(const Rr& a, const double& b)
{
return min(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline typename boost::enable_if_c<isRealHP<Rr>, Rr>::type abs(const Rr& a)
{
using ::std::abs;
using YADE_REAL_MATH_NAMESPACE::abs;
return abs(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr fabs(const Rr& a) { return ::yade::math::abs(a); }
template <typename T> int sgn(T val) { return (T(0) < val) - (val < T(0)); }
template <typename T> int sign(T val) { return (T(0) < val) - (val < T(0)); }
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr floor(const Rr& a)
{
using ::std::floor;
using YADE_REAL_MATH_NAMESPACE::floor;
return floor(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr ceil(const Rr& a)
{
using ::std::ceil;
using YADE_REAL_MATH_NAMESPACE::ceil;
return ceil(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHPAllow<Rr, double>> inline Rr round(const Rr& a)
{
using ::std::round;
using YADE_REAL_MATH_NAMESPACE::round;
return round(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr rint(const Rr& a)
{
using ::std::rint;
using YADE_REAL_MATH_NAMESPACE::rint;
return rint(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr trunc(const Rr& a)
{
using ::std::trunc;
using YADE_REAL_MATH_NAMESPACE::trunc;
return trunc(static_cast<const UnderlyingHP<Rr>&>(a));
}
#ifndef YADE_IGNORE_IEEE_INFINITY_NAN
template <typename Rr, int Level = levelOfRealHP<Rr>> inline bool isnan(const Rr& a)
{
using ::std::isnan;
using YADE_REAL_MATH_NAMESPACE::isnan;
return isnan(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline bool isinf(const Rr& a)
{
using ::std::isinf;
using YADE_REAL_MATH_NAMESPACE::isinf;
return isinf(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline bool isfinite(const Rr& a)
{
using ::std::isfinite;
using YADE_REAL_MATH_NAMESPACE::isfinite;
return isfinite(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline int fpclassify(const Rr& a)
{
using ::std::fpclassify;
using YADE_REAL_MATH_NAMESPACE::fpclassify;
return fpclassify(static_cast<const UnderlyingHP<Rr>&>(a));
}
#endif
/********************************************************************************************/
/********************** integer division and remainder **********************/
/********************************************************************************************/
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr fmod(const Rr& a, const Rr& b)
{
using ::std::fmod;
using YADE_REAL_MATH_NAMESPACE::fmod;
return fmod(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr remainder(const Rr& a, const Rr& b)
{
using ::std::remainder;
using YADE_REAL_MATH_NAMESPACE::remainder;
return remainder(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b));
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::enable_if_c<IsWrapped<Rr>, int>::type = 0> inline Rr modf(const Rr& a, Rr* b)
{
using ::std::modf;
using YADE_REAL_MATH_NAMESPACE::modf;
return modf(static_cast<const UnderlyingRealHP<Rr>&>(a), b->operator UnderlyingRealHP<Rr>*());
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::disable_if_c<IsWrapped<Rr>, int>::type = 0> inline Rr modf(const Rr& a, Rr* b)
{
using ::std::modf;
using YADE_REAL_MATH_NAMESPACE::modf;
return modf(static_cast<const UnderlyingRealHP<Rr>&>(a), b);
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr fma(const Rr& a, const Rr& b, const Rr& c)
{
using ::std::fma;
using YADE_REAL_MATH_NAMESPACE::fma;
return fma(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b), static_cast<const UnderlyingHP<Rr>&>(c));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr remquo(const Rr& a, const Rr& b, int* c)
{
using ::std::remquo;
using YADE_REAL_MATH_NAMESPACE::remquo;
return remquo(static_cast<const UnderlyingHP<Rr>&>(a), static_cast<const UnderlyingHP<Rr>&>(b), c);
}
/********************************************************************************************/
/********************** special mathematical functions **********************/
/********************************************************************************************/
// Only functions provided in std:: C++ headers are covered here. For others see lib/high-precision/MathSpecialFunctions.hpp
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr erf(const Rr& a)
{
using ::std::erf;
using YADE_REAL_MATH_NAMESPACE::erf;
return erf(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr erfc(const Rr& a)
{
using ::std::erfc;
using YADE_REAL_MATH_NAMESPACE::erfc;
return erfc(static_cast<const UnderlyingHP<Rr>&>(a));
}
template <typename Rr, int Level = levelOfRealHP<Rr>> inline Rr lgamma(const Rr& a)
{
using ::std::lgamma;
using YADE_REAL_MATH_NAMESPACE::lgamma;
return lgamma(static_cast<const UnderlyingHP<Rr>&>(a));
}
// These will be available in C++17, we could use the ones from boost, if they become necessary.
// This kind of functions are covered (and added to) lib/high-precision/MathSpecialFunctions.hpp
//
//YADE_WRAP_FUNC_1(riemann_zeta)
//YADE_WRAP_FUNC_2(beta)
//YADE_WRAP_FUNC_2(cyl_bessel_i)
//YADE_WRAP_FUNC_2(cyl_bessel_j)
//YADE_WRAP_FUNC_2(cyl_bessel_k)
//YADE_WRAP_FUNC_2(sph_bessel, unsigned)
// workaround broken tgamma for boost::float128, see https://github.com/boostorg/math/issues/307
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::enable_if_c<isFloat128<Rr>, int>::type = 0> inline Rr tgamma(const Rr& a)
{
using ::std::tgamma;
using YADE_REAL_MATH_NAMESPACE::tgamma;
if (a >= 0) {
return tgamma(static_cast<UnderlyingRealHP<Rr>>(a));
} else {
return abs(tgamma(static_cast<UnderlyingRealHP<Rr>>(a))) * ((static_cast<unsigned long long>(floor(abs(a))) % 2 == 0) ? -1 : 1);
}
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::disable_if_c<isFloat128<Rr>, int>::type = 0> inline Rr tgamma(const Rr& a)
{
using ::std::tgamma;
using YADE_REAL_MATH_NAMESPACE::tgamma;
return tgamma(static_cast<const UnderlyingRealHP<Rr>&>(a));
}
/********************************************************************************************/
/********************** extract C-array from std::vector **********************/
/********************************************************************************************/
// Some old C library functions need pointer to C-array, this is for compatibility between ThinRealWrapper and UnderlyingReal
// more static_asserts are at the end of py/high-precision/_RealHPDiagnostics.cpp and in lib/high-precision/RealHP.hpp
static_assert(sizeof(Real) == sizeof(UnderlyingReal), "This compiler introduced padding. This breaks binary compatibility");
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::enable_if_c<IsWrapped<Rr>, int>::type = 0>
static inline const UnderlyingRealHP<Rr>* constVectorData(const std::vector<Rr>& v)
{
return v.data()->operator const UnderlyingRealHP<Rr>*();
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::enable_if_c<IsWrapped<Rr>, int>::type = 0>
static inline UnderlyingRealHP<Rr>* vectorData(std::vector<Rr>& v)
{
return v.data()->operator UnderlyingRealHP<Rr>*();
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::disable_if_c<IsWrapped<Rr>, int>::type = 0>
static inline const UnderlyingRealHP<Rr>* constVectorData(const std::vector<Rr>& v)
{
return v.data();
}
template <typename Rr, int Level = levelOfRealHP<Rr>, typename boost::disable_if_c<IsWrapped<Rr>, int>::type = 0>
static inline UnderlyingRealHP<Rr>* vectorData(std::vector<Rr>& v)
{
return v.data();
}
/********************************************************************************************/
/********************** random **********************/
/********************************************************************************************/
// These random functions are necessary for Eigen library to for example write in python: Vector3.Random()
// generate random number [0,1)
template <int N> static inline RealHP<N> random01HP()
{
static ::boost::random::mt19937 gen;
return ::boost::random::generate_canonical<::yade::math::RealHP<N>, std::numeric_limits<::yade::math::RealHP<N>>::digits>(gen);
}
// Convenience functions for Real == RealHP<1>
static inline Real random01() { return random01HP<1>(); }
static inline Real unitRandom() { return random01(); }
static inline Real random() { return random01() * 2 - 1; }
static inline Real symmetricRandom() { return random(); }
// EigenNumTraits support for RealHP<N> requires random to work with RealHP<N>
template <int N> static inline RealHP<N> unitRandomHP() { return random01HP<N>(); }
template <int N> static inline RealHP<N> randomHP() { return random01HP<N>() * 2 - 1; }
template <int N> static inline RealHP<N> symmetricRandomHP() { return randomHP<N>(); }
} // namespace math
} // namespace yade
#endif
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