mirror of
https://github.com/aportelli/LatAnalyze.git
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190 lines
5.0 KiB
C++
190 lines
5.0 KiB
C++
/*
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* FitInterface.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2014 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 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
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <LatAnalyze/FitInterface.hpp>
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#include <LatAnalyze/includes.hpp>
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using namespace std;
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using namespace Latan;
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/******************************************************************************
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* FitInterface implementation *
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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FitInterface::FitInterface(const Index nData, const Index xDim,
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const Index yDim)
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{
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resize(nData, xDim, yDim);
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}
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// access //////////////////////////////////////////////////////////////////////
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void FitInterface::assumeXExact(const Index i, const bool isExact)
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{
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isXExact_(i) = (isExact) ? 1 : 0;
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}
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void FitInterface::assumeXXCorrelated(const Index i1, const Index i2,
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const bool isCorrelated)
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{
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int val = (isCorrelated) ? 1 : 0;
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isXXCorr_(i1, i2) = val;
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isXXCorr_(i2, i1) = val;
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}
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void FitInterface::assumeYYCorrelated(const Index j1, const Index j2,
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const bool isCorrelated)
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{
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int val = (isCorrelated) ? 1 : 0;
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isYYCorr_(j1, j2) = val;
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isYYCorr_(j2, j1) = val;
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}
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void FitInterface::assumeYXCorrelated(const Index j, const Index i,
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const bool isCorrelated)
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{
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int val = (isCorrelated) ? 1 : 0;
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isYXCorr_(j, i) = val;
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}
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void FitInterface::assumeDataCorrelated(const Index k1, const Index k2,
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const bool isCorrelated)
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{
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int val = (isCorrelated) ? 1 : 0;
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isDataCorr_(k1, k2) = val;
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isDataCorr_(k2, k1) = val;
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}
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void FitInterface::fitPoint(const Index i, const bool isFitPoint)
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{
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isFitPoint_(i) = (isFitPoint) ? 1 : 0;
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}
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void FitInterface::fitPointRange(const Index k1, const Index k2,
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const bool isFitPoint)
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{
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int size = static_cast<int>(k2-k1+1);
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isFitPoint_.segment(k1, size) = IVec::Constant(size, (isFitPoint) ? 1 : 0);
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}
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void FitInterface::fitAllPoints(const bool isFitPoint)
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{
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fitPointRange(0, getNData()-1, isFitPoint);
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}
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Index FitInterface::getNData(void) const
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{
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return isFitPoint_.size();
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}
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Index FitInterface::getNFitPoint(void) const
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{
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return isFitPoint_.sum();
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}
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Index FitInterface::getXDim(void) const
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{
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return isXXCorr_.rows();
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}
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Index FitInterface::getYDim(void) const
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{
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return isYYCorr_.rows();
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}
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Index FitInterface::getStatXDim(void) const
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{
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return isXExact_.size() - isXExact_.sum();
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}
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void FitInterface::setFitInterface(const FitInterface &fitInterface)
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{
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if (&fitInterface != this)
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{
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resize(fitInterface.getNData(), fitInterface.getXDim(),
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fitInterface.getYDim());
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isXExact_ = fitInterface.isXExact_;
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isFitPoint_ = fitInterface.isFitPoint_;
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isXXCorr_ = fitInterface.isXXCorr_;
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isYYCorr_ = fitInterface.isYYCorr_;
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isYXCorr_ = fitInterface.isYXCorr_;
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isDataCorr_ = fitInterface.isDataCorr_;
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}
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}
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void FitInterface::setNData(const Index nData)
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{
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resize(nData, getXDim(), getYDim());
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}
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void FitInterface::setXDim(const Index xDim)
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{
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resize(getNData(), xDim, getYDim());
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}
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void FitInterface::setYDim(const Index yDim)
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{
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resize(getNData(), getXDim(), yDim);
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}
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void FitInterface::resize(const Index nData, const Index xDim, const Index yDim)
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{
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isXExact_.setConstant(xDim, 0);
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isFitPoint_.setConstant(nData, 0);
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isXXCorr_.setIdentity(xDim, xDim);
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isYYCorr_.setIdentity(yDim, yDim);
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isYXCorr_.setConstant(yDim, xDim, 0);
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isDataCorr_.setIdentity(nData, nData);
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}
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// test ////////////////////////////////////////////////////////////////////////
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bool FitInterface::isFitPoint(const Index k) const
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{
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return (isFitPoint_[k] == 1);
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}
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bool FitInterface::isXExact(const Index i) const
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{
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return (isXExact_[i] == 1);
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}
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bool FitInterface::isXXCorrelated(const Index i1, const Index i2) const
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{
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return (isXXCorr_(i1, i2) == 1);
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}
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bool FitInterface::isYYCorrelated(const Index j1, const Index j2) const
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{
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return (isYYCorr_(j1, j2) == 1);
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}
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bool FitInterface::isYXCorrelated(const Index j, const Index i) const
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{
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return (isYXCorr_(j, i) == 1);
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}
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bool FitInterface::isDataCorrelated(const Index k1, const Index k2) const
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{
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return (isDataCorr_(k1, k2) == 1);
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}
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