/* * FitInterface.cpp, part of LatAnalyze 3 * * Copyright (C) 2013 - 2014 Antonin Portelli * * LatAnalyze 3 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 3 of the License, or * (at your option) any later version. * * LatAnalyze 3 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 LatAnalyze 3. If not, see . */ #include #include using namespace std; using namespace Latan; /****************************************************************************** * FitInterface implementation * ******************************************************************************/ // constructors //////////////////////////////////////////////////////////////// FitInterface::FitInterface(const Index nData, const Index xDim, const Index yDim) { resize(nData, xDim, yDim); } // access ////////////////////////////////////////////////////////////////////// void FitInterface::assumeXExact(const Index i, const bool isExact) { isXExact_(i) = (isExact) ? 1 : 0; } void FitInterface::assumeXXCorrelated(const Index i1, const Index i2, const bool isCorrelated) { int val = (isCorrelated) ? 1 : 0; isXXCorr_(i1, i2) = val; isXXCorr_(i2, i1) = val; } void FitInterface::assumeYYCorrelated(const Index j1, const Index j2, const bool isCorrelated) { int val = (isCorrelated) ? 1 : 0; isYYCorr_(j1, j2) = val; isYYCorr_(j2, j1) = val; } void FitInterface::assumeYXCorrelated(const Index j, const Index i, const bool isCorrelated) { int val = (isCorrelated) ? 1 : 0; isYXCorr_(j, i) = val; } void FitInterface::assumeDataCorrelated(const Index k1, const Index k2, const bool isCorrelated) { int val = (isCorrelated) ? 1 : 0; isDataCorr_(k1, k2) = val; isDataCorr_(k2, k1) = val; } void FitInterface::assumeDataCorrelated(const bool isCorrelated) { FOR_MAT(isDataCorr_, k1, k2) { if (k1 != k2) { assumeDataCorrelated(k1, k2, isCorrelated); } } } void FitInterface::fitPoint(const Index i, const bool isFitPoint) { isFitPoint_(i) = (isFitPoint) ? 1 : 0; } void FitInterface::fitPointRange(const Index k1, const Index k2, const bool isFitPoint) { int size = static_cast(k2-k1+1); isFitPoint_.segment(k1, size) = IVec::Constant(size, (isFitPoint) ? 1 : 0); } void FitInterface::fitAllPoints(const bool isFitPoint) { fitPointRange(0, getNData()-1, isFitPoint); } Index FitInterface::getNData(void) const { return isFitPoint_.size(); } Index FitInterface::getNFitPoint(void) const { return isFitPoint_.sum(); } Index FitInterface::getXDim(void) const { return isXXCorr_.rows(); } Index FitInterface::getYDim(void) const { return isYYCorr_.rows(); } Index FitInterface::getStatXDim(void) const { return isXExact_.size() - isXExact_.sum(); } void FitInterface::setFitInterface(const FitInterface &fitInterface) { if (&fitInterface != this) { isXExact_ = fitInterface.isXExact_; isFitPoint_ = fitInterface.isFitPoint_; isXXCorr_ = fitInterface.isXXCorr_; isYYCorr_ = fitInterface.isYYCorr_; isYXCorr_ = fitInterface.isYXCorr_; isDataCorr_ = fitInterface.isDataCorr_; } } void FitInterface::setNData(const Index nData) { resize(nData, getXDim(), getYDim()); } void FitInterface::setXDim(const Index xDim) { resize(getNData(), xDim, getYDim()); } void FitInterface::setYDim(const Index yDim) { resize(getNData(), getXDim(), yDim); } void FitInterface::resize(const Index nData, const Index xDim, const Index yDim) { isXExact_.setConstant(xDim, 0); isFitPoint_.setConstant(nData, 0); isXXCorr_.setIdentity(xDim, xDim); isYYCorr_.setIdentity(yDim, yDim); isYXCorr_.setConstant(yDim, xDim, 0); isDataCorr_.setIdentity(nData, nData); } // test //////////////////////////////////////////////////////////////////////// bool FitInterface::isFitPoint(const Index k) const { return (isFitPoint_[k] == 1); } bool FitInterface::isXExact(const Index i) const { return (isXExact_[i] == 1); } bool FitInterface::isXXCorrelated(const Index i1, const Index i2) const { return (isXXCorr_(i1, i2) == 1); } bool FitInterface::isYYCorrelated(const Index j1, const Index j2) const { return (isYYCorr_(j1, j2) == 1); } bool FitInterface::isYXCorrelated(const Index j, const Index i) const { return (isYXCorr_(j, i) == 1); } bool FitInterface::isDataCorrelated(const Index k1, const Index k2) const { return (isDataCorr_(k1, k2) == 1); }