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/*************************************************************************
*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* Copyright 2000, 2010 Oracle and/or its affiliates.
*
* OpenOffice.org - a multi-platform office productivity suite
*
* This file is part of OpenOffice.org.
*
* OpenOffice.org is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License version 3
* only, as published by the Free Software Foundation.
*
* OpenOffice.org 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 Lesser General Public License version 3 for more details
* (a copy is included in the LICENSE file that accompanied this code).
*
* You should have received a copy of the GNU Lesser General Public License
* version 3 along with OpenOffice.org. If not, see
* <http://www.openoffice.org/license.html>
* for a copy of the LGPLv3 License.
*
************************************************************************/
#ifndef CHART2_REGRESSIONCALCULATIONHELPER_HXX
#define CHART2_REGRESSIONCALCULATIONHELPER_HXX
#include <rtl/math.hxx>
#include <utility>
#include <functional>
#include <vector>
#include <rtl/math.hxx>
#define NUMBER_TO_STR(number) (::rtl::OStringToOUString(::rtl::math::doubleToString( \
number, rtl_math_StringFormat_G, 4, '.', true ),RTL_TEXTENCODING_ASCII_US ))
#define UC_SPACE (sal_Unicode(' '))
#define UC_MINUS_SIGN (sal_Unicode('-'))
// #define UC_MINUS_SIGN (sal_Unicode(0x2212))
namespace chart
{
namespace RegressionCalculationHelper
{
typedef ::std::pair< ::std::vector< double >, ::std::vector< double > > tDoubleVectorPair;
/** takes the given x- and y-values and copyies them into the resulting pair,
which contains x-values in the first element and the y-values in the second
one. All tuples for which aPred is false are not copied.
<p>The functors below provide a set of useful predicates that can be
used to pass as parameter aPred.</p>
*/
template< class Pred >
tDoubleVectorPair
cleanup( const ::com::sun::star::uno::Sequence< double > & rXValues,
const ::com::sun::star::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 ::std::binary_function< double, double, bool >
{
public:
inline bool operator()( double x, double y )
{ return ! ( ::rtl::math::isNan( x ) ||
::rtl::math::isNan( y ) ||
::rtl::math::isInf( x ) ||
::rtl::math::isInf( y ) );
}
};
class isValidAndXPositive : public ::std::binary_function< double, double, bool >
{
public:
inline bool operator()( double x, double y )
{ return ! ( ::rtl::math::isNan( x ) ||
::rtl::math::isNan( y ) ||
::rtl::math::isInf( x ) ||
::rtl::math::isInf( y ) ||
x <= 0.0 );
}
};
class isValidAndYPositive : public ::std::binary_function< double, double, bool >
{
public:
inline bool operator()( double x, double y )
{ return ! ( ::rtl::math::isNan( x ) ||
::rtl::math::isNan( y ) ||
::rtl::math::isInf( x ) ||
::rtl::math::isInf( y ) ||
y <= 0.0 );
}
};
class isValidAndBothPositive : public ::std::binary_function< double, double, bool >
{
public:
inline bool operator()( double x, double y )
{ return ! ( ::rtl::math::isNan( x ) ||
::rtl::math::isNan( y ) ||
::rtl::math::isInf( x ) ||
::rtl::math::isInf( y ) ||
x <= 0.0 ||
y <= 0.0 );
}
};
} // namespace RegressionCalculationHelper
} // namespace chart
// CHART2_REGRESSIONCALCULATIONHELPER_HXX
#endif
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