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tvmet-1.7.1/include/tvmet/TraitsBase.h
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tvmet-1.7.1/include/tvmet/TraitsBase.h
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/* This file is part of Eigen, a C++ template library for linear algebra
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* Copyright (C) 2007 Benoit Jacob <jacob@math.jussieu.fr>
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*
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* Based on Tvmet source code, http://tvmet.sourceforge.net,
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* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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* $Id: TraitsBase.h,v 1.11 2004/11/04 18:10:35 opetzold Exp $
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*/
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#ifndef TVMET_NUMERIC_TRAITS_BASE_H
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#define TVMET_NUMERIC_TRAITS_BASE_H
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#if defined(EIGEN_USE_COMPLEX)
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# include <complex>
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#endif
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#include <cmath>
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#include <cstdlib>
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namespace tvmet {
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/**
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* \class TraitsBase TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits for standard types.
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*
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* In this base class goes the basic stuff that has to be implemented specifically
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* for each type.
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*/
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template<typename T>
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struct TraitsBase {
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typedef T real_type;
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typedef T value_type;
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typedef T float_type;
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typedef const T & argument_type;
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static real_type real(argument_type x);
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static real_type imag(argument_type x);
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static value_type conj(argument_type x);
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static real_type abs(argument_type x);
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static value_type sqrt(argument_type x);
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static real_type epsilon();
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static bool isComplex();
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static bool isFloat();
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y);
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};
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/*
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* numeric traits for built-in types
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*/
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/**
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* \class TraitsBase<int> TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for int.
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*/
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template<>
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struct TraitsBase<int> {
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typedef int value_type;
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typedef value_type real_type;
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typedef double float_type;
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typedef value_type argument_type;
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static real_type real(argument_type x) { return x; }
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static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
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static value_type conj(argument_type x) { return x; }
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static value_type sqrt(argument_type x) {
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return static_cast<value_type>(std::sqrt(static_cast<float_type>(x)));
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}
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static real_type abs(argument_type x) {
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return std::abs(x);
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}
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static real_type epsilon() { return 0; }
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static bool isComplex() { return false; }
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static bool isFloat() { return false; }
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/** Complexity on operations. */
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enum {
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ops_plus = 1, /**< Complexity on plus/minus ops. */
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ops_muls = 1 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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return x <= y;
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}
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};
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/**
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* \class TraitsBase<float> TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for float.
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*/
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template<>
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struct TraitsBase<float> {
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typedef float value_type;
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typedef value_type real_type;
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typedef value_type float_type;
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typedef value_type argument_type;
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static real_type real(argument_type x) { return x; }
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static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
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static value_type conj(argument_type x) { return x; }
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static value_type sqrt(argument_type x) {
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return std::sqrt(x);
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}
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static real_type abs(argument_type x) {
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return std::abs(x);
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}
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static real_type epsilon() { return 1e-5f; }
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static bool isComplex() { return false; }
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static bool isFloat() { return true; }
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/** Complexity on operations. */
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enum {
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ops_plus = 1, /**< Complexity on plus/minus ops. */
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ops_muls = 1 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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return x <= y;
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}
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};
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/**
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* \class TraitsBase<double> TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for double.
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*/
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template<>
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struct TraitsBase<double> {
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typedef double value_type;
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typedef value_type real_type;
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typedef value_type float_type;
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typedef value_type argument_type;
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static real_type real(argument_type x) { return x; }
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static real_type imag(argument_type x) { TVMET_UNUSED(x); return 0; }
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static value_type conj(argument_type x) { return x; }
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static value_type sqrt(argument_type x) {
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return std::sqrt(x);
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}
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static real_type abs(argument_type x) {
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return std::abs(x);
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}
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static real_type epsilon() { return 1e-11; }
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static bool isComplex() { return false; }
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static bool isFloat() { return true; }
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/** Complexity on operations. */
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enum {
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ops_plus = 1, /**< Complexity on plus/minus ops. */
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ops_muls = 1 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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return x <= y;
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}
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};
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/*
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* numeric traits for complex types
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*/
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#if defined(EIGEN_USE_COMPLEX)
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/**
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* \class TraitsBase< std::complex<int> > TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for std::complex<int>.
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*/
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template<>
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struct TraitsBase< std::complex<int> >
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{
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typedef std::complex<int> value_type;
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typedef int real_type;
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typedef std::complex<float> float_type;
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typedef const value_type& argument_type;
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static real_type real(argument_type z) { return std::real(z); }
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static real_type imag(argument_type z) { return std::imag(z); }
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static value_type conj(argument_type z) { return std::conj(z); }
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static real_type abs(argument_type x) {
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// the use of ceil() guarantees e.g. that abs(real(x)) <= abs(x),
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// and that abs(x)==0 if and only if x==0.
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return static_cast<int>(std::ceil(std::abs(float_type(x.real(),x.imag()))));
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}
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static value_type sqrt(argument_type x) {
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float_type y = std::sqrt(float_type(x.real(), x.imag()));
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int r = static_cast<int>(y.real());
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int i = static_cast<int>(y.imag());
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return value_type(r,i);
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}
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static real_type epsilon() { return 0; }
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static bool isComplex() { return true; }
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static bool isFloat() { return false; }
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/** Complexity on operations. */
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enum {
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ops_plus = 2, /**< Complexity on plus/minus ops. */
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ops_muls = 6 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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TVMET_UNUSED(x);
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TVMET_UNUSED(y);
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return false;
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}
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};
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/**
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* \class TraitsBase< std::complex<float> > TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for std::complex<float>.
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*/
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template<>
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struct TraitsBase< std::complex<float> > {
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typedef std::complex<float> value_type;
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typedef float real_type;
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typedef value_type float_type;
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typedef const value_type& argument_type;
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static real_type real(argument_type z) { return std::real(z); }
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static real_type imag(argument_type z) { return std::imag(z); }
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static value_type conj(argument_type z) { return std::conj(z); }
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static value_type sqrt(argument_type x) {
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return std::sqrt(x);
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}
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static real_type abs(argument_type x) {
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return std::abs(x);
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}
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static real_type epsilon() { return 1e-5f; }
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static bool isComplex() { return true; }
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static bool isFloat() { return true; }
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/** Complexity on operations. */
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enum {
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ops_plus = 2, /**< Complexity on plus/minus ops. */
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ops_muls = 6 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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TVMET_UNUSED(x);
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TVMET_UNUSED(y);
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return false;
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}
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};
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/**
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* \class TraitsBase< std::complex<double> > TraitsBase.h "tvmet/TraitsBase.h"
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* \brief Traits specialized for std::complex<double>.
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*/
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template<>
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struct TraitsBase< std::complex<double> > {
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typedef std::complex<double> value_type;
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typedef double real_type;
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typedef value_type float_type;
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typedef const value_type& argument_type;
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static real_type real(argument_type z) { return std::real(z); }
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static real_type imag(argument_type z) { return std::imag(z); }
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static value_type conj(argument_type z) { return std::conj(z); }
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static value_type sqrt(argument_type x) {
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return std::sqrt(x);
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}
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static real_type abs(argument_type x) {
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return std::abs(x);
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}
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static real_type epsilon() { return 1e-11; }
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static bool isComplex() { return true; }
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static bool isFloat() { return true; }
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/** Complexity on operations. */
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enum {
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ops_plus = 2, /**< Complexity on plus/minus ops. */
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ops_muls = 6 /**< Complexity on multiplications. */
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};
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static bool isLessThan_nonfuzzy(argument_type x, argument_type y) {
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TVMET_UNUSED(x);
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TVMET_UNUSED(y);
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return false;
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}
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};
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#endif // defined(EIGEN_USE_COMPLEX)
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#ifdef __GNUC__
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# if __GNUC__>=4
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# define EIGEN_WITH_GCC_4_OR_LATER
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# endif
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#endif
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/** Stores in x a random int between -RAND_MAX/2 and RAND_MAX/2 */
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inline void pickRandom( int & x )
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{
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x = rand() - RAND_MAX / 2;
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}
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/** Stores in x a random float between -1.0 and 1.0 */
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inline void pickRandom( float & x )
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{
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x = 2.0f * rand() / RAND_MAX - 1.0f;
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}
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/** Stores in x a random double between -1.0 and 1.0 */
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inline void pickRandom( double & x )
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{
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x = 2.0 * rand() / RAND_MAX - 1.0;
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}
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#ifdef EIGEN_USE_COMPLEX
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/** Stores in the real and imaginary parts of x
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* random values between -1.0 and 1.0 */
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template<typename T> void pickRandom( std::complex<T> & x )
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{
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#ifdef EIGEN_WITH_GCC_4_OR_LATER
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pickRandom( x.real() );
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pickRandom( x.imag() );
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#else // workaround by David Faure for MacOS 10.3 and GCC 3.3, commit 630812
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T r = x.real();
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T i = x.imag();
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pickRandom( r );
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pickRandom( i );
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x = std::complex<T>(r,i);
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#endif
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}
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#endif // EIGEN_USE_COMPLEX
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} // namespace tvmet
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#endif // TVMET_NUMERIC_TRAITS_BASE_H
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