5babf1b903
i.e. convert "::sal_Bool" to "sal_Bool" Change-Id: Ie5943aee4fee617bf2670655558927ed25b7e067
130 lines
4 KiB
C++
130 lines
4 KiB
C++
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*
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* This file is part of the LibreOffice project.
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*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/.
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*
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* This file incorporates work covered by the following license notice:
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*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed
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* with this work for additional information regarding copyright
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* ownership. The ASF licenses this file to you under the Apache
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* License, Version 2.0 (the "License"); you may not use this file
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* except in compliance with the License. You may obtain a copy of
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* the License at http://www.apache.org/licenses/LICENSE-2.0 .
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*/
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#include "MeanValueRegressionCurveCalculator.hxx"
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#include "macros.hxx"
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#include <rtl/math.hxx>
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#include <rtl/ustrbuf.hxx>
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using namespace ::com::sun::star;
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namespace chart
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{
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MeanValueRegressionCurveCalculator::MeanValueRegressionCurveCalculator() :
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m_fMeanValue( 0.0 )
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{
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::rtl::math::setNan( & m_fMeanValue );
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}
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MeanValueRegressionCurveCalculator::~MeanValueRegressionCurveCalculator()
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{}
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// ____ XRegressionCurveCalculator ____
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void SAL_CALL MeanValueRegressionCurveCalculator::recalculateRegression(
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const uno::Sequence< double >& /*aXValues*/,
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const uno::Sequence< double >& aYValues )
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throw (uno::RuntimeException, std::exception)
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{
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const sal_Int32 nDataLength = aYValues.getLength();
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sal_Int32 nMax = nDataLength;
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double fSumY = 0.0;
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const double * pY = aYValues.getConstArray();
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for( sal_Int32 i = 0; i < nDataLength; ++i )
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{
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if( ::rtl::math::isNan( pY[i] ) ||
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::rtl::math::isInf( pY[i] ))
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--nMax;
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else
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fSumY += pY[i];
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}
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m_fCorrelationCoeffitient = 0.0;
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if( nMax == 0 )
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{
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::rtl::math::setNan( & m_fMeanValue );
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}
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else
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{
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m_fMeanValue = fSumY / static_cast< double >( nMax );
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// correlation coefficient: standard deviation
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if( nMax > 1 )
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{
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double fErrorSum = 0.0;
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for( sal_Int32 i = 0; i < nDataLength; ++i )
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{
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if( !::rtl::math::isNan( pY[i] ) &&
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!::rtl::math::isInf( pY[i] ))
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{
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double v = m_fMeanValue - pY[i];
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fErrorSum += (v*v);
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}
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}
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OSL_ASSERT( fErrorSum >= 0.0 );
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m_fCorrelationCoeffitient = sqrt( fErrorSum / (nMax - 1 ));
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}
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}
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}
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double SAL_CALL MeanValueRegressionCurveCalculator::getCurveValue( double /*x*/ )
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throw (lang::IllegalArgumentException,
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uno::RuntimeException, std::exception)
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{
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return m_fMeanValue;
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}
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uno::Sequence< geometry::RealPoint2D > SAL_CALL MeanValueRegressionCurveCalculator::getCurveValues(
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double min, double max, ::sal_Int32 nPointCount,
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const uno::Reference< chart2::XScaling >& xScalingX,
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const uno::Reference< chart2::XScaling >& xScalingY,
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sal_Bool bMaySkipPointsInCalculation )
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throw (lang::IllegalArgumentException,
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uno::RuntimeException, std::exception)
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{
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if( bMaySkipPointsInCalculation )
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{
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// optimize result
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uno::Sequence< geometry::RealPoint2D > aResult( 2 );
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aResult[0].X = min;
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aResult[0].Y = m_fMeanValue;
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aResult[1].X = max;
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aResult[1].Y = m_fMeanValue;
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return aResult;
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}
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return RegressionCurveCalculator::getCurveValues( min, max, nPointCount, xScalingX, xScalingY, bMaySkipPointsInCalculation );
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}
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OUString MeanValueRegressionCurveCalculator::ImplGetRepresentation(
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const uno::Reference< util::XNumberFormatter >& xNumFormatter,
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::sal_Int32 nNumberFormatKey ) const
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{
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OUString aBuf = "f(x) = " +
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getFormattedString( xNumFormatter, nNumberFormatKey, m_fMeanValue );
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return aBuf;
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}
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} // namespace chart
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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