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mark more methods as const. also rename, Numeric.h->NumTraits.h
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177
src/Core/NumTraits.h
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177
src/Core/NumTraits.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#ifndef EI_NUMERIC_H
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#define EI_NUMERIC_H
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template<typename T> struct NumTraits;
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template<> struct NumTraits<int>
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{
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typedef int Real;
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typedef double FloatingPoint;
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typedef double RealFloatingPoint;
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static const bool IsComplex = false;
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static const bool HasFloatingPoint = false;
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static int precision() { return 0; }
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static int real(const int& x) { return x; }
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static int imag(const int& x) { EI_UNUSED(x); return 0; }
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static int conj(const int& x) { return x; }
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static double sqrt(const int& x) { return std::sqrt(static_cast<double>(x)); }
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static int abs(const int& x) { return std::abs(x); }
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static int abs2(const int& x) { return x*x; }
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static int random()
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{
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// "random() % n" is bad, they say, because the low-order bits are not random enough.
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// However here, 21 is odd, so random() % 21 uses the high-order bits
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// as well, so there's no problem.
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return (std::rand() % 21) - 10;
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}
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static bool isMuchSmallerThan(const int& a, const int& b, const int& prec = precision())
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{
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EI_UNUSED(b);
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EI_UNUSED(prec);
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return a == 0;
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}
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static bool isApprox(const int& a, const int& b, const int& prec = precision())
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{
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EI_UNUSED(prec);
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return a == b;
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}
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static bool isApproxOrLessThan(const int& a, const int& b, const int& prec = precision())
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{
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EI_UNUSED(prec);
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return a <= b;
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}
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};
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template<> struct NumTraits<float>
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{
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typedef float Real;
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typedef float FloatingPoint;
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typedef float RealFloatingPoint;
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static const bool IsComplex = false;
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static const bool HasFloatingPoint = true;
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static float precision() { return 1e-5f; }
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static float real(const float& x) { return x; }
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static float imag(const float& x) { EI_UNUSED(x); return 0; }
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static float conj(const float& x) { return x; }
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static float sqrt(const float& x) { return std::sqrt(x); }
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static float abs(const float& x) { return std::abs(x); }
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static float abs2(const float& x) { return x*x; }
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static float random()
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{
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return std::rand() / (RAND_MAX/20.0f) - 10.0f;
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}
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static bool isMuchSmallerThan(const float& a, const float& b, const float& prec = precision())
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{
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return abs(a) <= abs(b) * prec;
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}
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static bool isApprox(const float& a, const float& b, const float& prec = precision())
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{
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return abs(a - b) <= std::min(abs(a), abs(b)) * prec;
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}
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static bool isApproxOrLessThan(const float& a, const float& b, const float& prec = precision())
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{
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return a <= b || isApprox(a, b, prec);
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}
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};
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template<> struct NumTraits<double>
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{
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typedef double Real;
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typedef double FloatingPoint;
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typedef double RealFloatingPoint;
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static const bool IsComplex = false;
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static const bool HasFloatingPoint = true;
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static double precision() { return 1e-11; }
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static double real(const double& x) { return x; }
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static double imag(const double& x) { EI_UNUSED(x); return 0; }
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static double conj(const double& x) { return x; }
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static double sqrt(const double& x) { return std::sqrt(x); }
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static double abs(const double& x) { return std::abs(x); }
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static double abs2(const double& x) { return x*x; }
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static double random()
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{
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return std::rand() / (RAND_MAX/20.0) - 10.0;
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}
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static bool isMuchSmallerThan(const double& a, const double& b, const double& prec = precision())
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{
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return abs(a) <= abs(b) * prec;
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}
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static bool isApprox(const double& a, const double& b, const double& prec = precision())
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{
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return abs(a - b) <= std::min(abs(a), abs(b)) * prec;
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}
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static bool isApproxOrLessThan(const double& a, const double& b, const double& prec = precision())
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{
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return a <= b || isApprox(a, b, prec);
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}
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};
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template<typename _Real> struct NumTraits<std::complex<_Real> >
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{
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typedef _Real Real;
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typedef std::complex<Real> Complex;
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typedef std::complex<double> FloatingPoint;
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typedef typename NumTraits<Real>::FloatingPoint RealFloatingPoint;
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static const bool IsComplex = true;
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static const bool HasFloatingPoint = NumTraits<Real>::HasFloatingPoint;
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static Real precision() { return NumTraits<Real>::precision(); }
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static Real real(const Complex& x) { return std::real(x); }
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static Real imag(const Complex& x) { return std::imag(x); }
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static Complex conj(const Complex& x) { return std::conj(x); }
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static FloatingPoint sqrt(const Complex& x)
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{ return std::sqrt(static_cast<FloatingPoint>(x)); }
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static RealFloatingPoint abs(const Complex& x)
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{ return std::abs(static_cast<FloatingPoint>(x)); }
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static Real abs2(const Complex& x)
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{ return std::real(x) * std::real(x) + std::imag(x) * std::imag(x); }
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static Complex random()
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{
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return Complex(NumTraits<Real>::random(), NumTraits<Real>::random());
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}
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static bool isMuchSmallerThan(const Complex& a, const Complex& b, const Real& prec = precision())
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{
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return abs2(a) <= abs2(b) * prec * prec;
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}
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static bool isApprox(const Complex& a, const Complex& b, const Real& prec = precision())
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{
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return NumTraits<Real>::isApprox(std::real(a), std::real(b), prec)
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&& NumTraits<Real>::isApprox(std::imag(a), std::imag(b), prec);
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}
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// isApproxOrLessThan wouldn't make sense for complex numbers
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};
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#endif // EI_NUMERIC_H
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