134 lines
3.6 KiB
C++
134 lines
3.6 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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#pragma once
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#include <com/sun/star/uno/Sequence.hxx>
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#include <cmath>
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#include <utility>
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#include <vector>
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namespace chart::RegressionCalculationHelper
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{
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typedef std::pair< std::vector< double >, std::vector< double > > tDoubleVectorPair;
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/** takes the given x- and y-values and copies them into the resulting pair,
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which contains x-values in the first element and the y-values in the second
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one. All tuples for which aPred is false are not copied.
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<p>The function below provide a set of useful predicates that can be
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used to pass as parameter aPred.</p>
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*/
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template< class Pred >
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tDoubleVectorPair
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cleanup( const css::uno::Sequence< double > & rXValues,
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const css::uno::Sequence< double > & rYValues,
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Pred aPred )
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{
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tDoubleVectorPair aResult;
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sal_Int32 nSize = std::min( rXValues.getLength(), rYValues.getLength());
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for( sal_Int32 i=0; i<nSize; ++i )
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{
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if( aPred( rXValues[i], rYValues[i] ))
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{
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aResult.first.push_back( rXValues[i] );
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aResult.second.push_back( rYValues[i] );
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}
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}
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return aResult;
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}
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class isValid
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) );
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}
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};
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class isValidAndXPositive
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) ||
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x <= 0.0 );
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}
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};
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class isValidAndYPositive
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) ||
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y <= 0.0 );
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}
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};
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class isValidAndYNegative
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) ||
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y >= 0.0 );
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}
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};
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class isValidAndBothPositive
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) ||
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x <= 0.0 ||
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y <= 0.0 );
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}
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};
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class isValidAndXPositiveAndYNegative
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{
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public:
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bool operator()( double x, double y )
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{ return ! ( std::isnan( x ) ||
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std::isnan( y ) ||
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std::isinf( x ) ||
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std::isinf( y ) ||
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x <= 0.0 ||
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y >= 0.0 );
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}
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};
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} // namespace chart::RegressionCalculationHelper
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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