| /************************************************************** |
| * |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the 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 |