RegressionCalculationHelper.hxx

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/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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 *
 * This file incorporates work covered by the following license notice:
 *
 *   Licensed to the Apache Software Foundation (ASF) under one or more
 *   contributor license agreements. See the NOTICE file distributed
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 *   except in compliance with the License. You may obtain a copy of
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 */
#pragma once
 
#include <com/sun/star/uno/Sequence.hxx>
 
#include <cmath>
#include <utility>
#include <vector>
 
namespace chart::RegressionCalculationHelper
{
 
typedef std::pair< std::vector< double >, std::vector< double > > tDoubleVectorPair;
 
template< class Pred >
tDoubleVectorPair
    cleanup( const css::uno::Sequence< double > & rXValues,
             const css::uno::Sequence< double > & rYValues,
             Pred aPred )
{
    tDoubleVectorPair aResult;
    sal_Int32 nSize = std::min( rXValues.getLength(), rYValues.getLength());
    for( sal_Int32 i=0; i<nSize; ++i )
    {
        if( aPred( rXValues[i], rYValues[i] ))
        {
            aResult.first.push_back( rXValues[i] );
            aResult.second.push_back( rYValues[i] );
        }
    }
 
    return aResult;
}
 
class isValid
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) );
    }
};
 
class isValidAndXPositive
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) ||
                 x <= 0.0 );
    }
};
 
class isValidAndYPositive
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) ||
                 y <= 0.0 );
    }
};
 
class isValidAndYNegative
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) ||
                 y >= 0.0 );
    }
};
 
class isValidAndBothPositive
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) ||
                 x <= 0.0 ||
                 y <= 0.0 );
    }
};
 
class isValidAndXPositiveAndYNegative
{
public:
    bool operator()( double x, double y )
    { return ! ( std::isnan( x ) ||
                 std::isnan( y ) ||
                 std::isinf( x ) ||
                 std::isinf( y ) ||
                 x <= 0.0 ||
                 y >= 0.0 );
    }
};
 
} //  namespace chart::RegressionCalculationHelper
 
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