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https://github.com/aportelli/LatAnalyze.git
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improvements of StatArray and derived classes
This commit is contained in:
parent
34b3b36de4
commit
f7345ea717
@ -39,6 +39,7 @@ private:
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typedef StatArray<T> Base;
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typedef StatArray<T> Base;
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public:
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public:
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// constructor
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// constructor
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using Base::Base;
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Dataset(void);
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Dataset(void);
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Dataset(const std::string &listFileName, const std::string &dataName);
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Dataset(const std::string &listFileName, const std::string &dataName);
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template <typename Derived>
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template <typename Derived>
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@ -71,12 +72,6 @@ Dataset<T, FileType>::Dataset(const std::string &listFileName,
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load(listFileName, dataName);
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load(listFileName, dataName);
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}
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}
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template <typename T, typename FileType>
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template <typename Derived>
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Dataset<T, FileType>::Dataset(const Eigen::EigenBase<Derived> &dataset)
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: Base(dataset)
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{}
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// destructor //////////////////////////////////////////////////////////////////
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// destructor //////////////////////////////////////////////////////////////////
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template <typename T, typename FileType>
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template <typename T, typename FileType>
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Dataset<T, FileType>::~Dataset(void)
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Dataset<T, FileType>::~Dataset(void)
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@ -23,8 +23,33 @@
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using namespace Latan;
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using namespace Latan;
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using namespace std;
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using namespace std;
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template <>
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/******************************************************************************
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IoObject::IoType Sample<DMat>::getType(void) const
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* DMatSample implementation *
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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DMatSample::DMatSample(void)
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: Sample<DMat>()
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{}
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DMatSample::DMatSample(const unsigned int nSample, const unsigned int nRow,
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const unsigned int nCol)
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: Sample<DMat>(nSample)
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{
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resizeMat(nRow, nCol);
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}
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// destructor //////////////////////////////////////////////////////////////////
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DMatSample::~DMatSample(void)
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{}
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// resize all matrices /////////////////////////////////////////////////////////
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void DMatSample::resizeMat(const unsigned int nRow, const unsigned int nCol)
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{
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this->unaryExpr([nRow, nCol](DMat &m){m.resize(nRow, nCol);});
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}
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// IO type /////////////////////////////////////////////////////////////////////
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IoObject::IoType DMatSample::getType(void) const
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{
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{
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return IoType::dMatSample;
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return IoType::dMatSample;
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}
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}
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@ -27,16 +27,18 @@
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BEGIN_NAMESPACE
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BEGIN_NAMESPACE
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const int central = -1;
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#define SAMPLE_OFFSET 1u
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const int central = -static_cast<int>(SAMPLE_OFFSET);
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/******************************************************************************
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/******************************************************************************
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* Sample class *
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* Sample class *
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******************************************************************************/
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******************************************************************************/
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template <typename T>
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template <typename T>
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class Sample: public StatArray<T>, public IoObject
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class Sample: public StatArray<T, SAMPLE_OFFSET>
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{
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{
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private:
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private:
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typedef StatArray<T> Base;
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typedef StatArray<T, SAMPLE_OFFSET> Base;
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public:
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public:
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// constructors
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// constructors
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Sample(void);
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Sample(void);
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@ -45,74 +47,35 @@ public:
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Sample(const Eigen::EigenBase<Derived> &s);
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Sample(const Eigen::EigenBase<Derived> &s);
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// destructor
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// destructor
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virtual ~Sample(void);
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virtual ~Sample(void);
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// operators
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T& operator[](const int s);
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// IO type
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virtual IoType getType(void) const;
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private:
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// index of the first element to take into account for statistics
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virtual unsigned int getOffset(void) const;
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};
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};
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template <>
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/******************************************************************************
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IoObject::IoType Sample<DMat>::getType(void) const;
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* DMatSample class *
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******************************************************************************/
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// specialization aliases
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class DMatSample: public Sample<DMat>, public IoObject
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typedef Sample<DMat> DMatSample;
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{
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public:
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// constructors
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DMatSample(void);
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DMatSample(const unsigned int nSample, const unsigned int nRow,
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const unsigned int nCol);
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using Sample<DMat>::Sample;
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// destructor
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virtual ~DMatSample(void);
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// resize all matrices
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void resizeMat(const unsigned int nRow, const unsigned int nCol);
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// IO type
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virtual IoType getType(void) const;
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};
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/******************************************************************************
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/******************************************************************************
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* Sample class template implementation *
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* Sample class template implementation *
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******************************************************************************/
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******************************************************************************/
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// constructor /////////////////////////////////////////////////////////////////
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template <typename T>
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Sample<T>::Sample(void)
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: Base(static_cast<typename Base::Index>(getOffset()))
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{}
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template <typename T>
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Sample<T>::Sample(const unsigned int nSample)
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: Base(static_cast<typename Base::Index>(nSample + getOffset()))
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{}
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template <typename T>
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template <typename Derived>
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Sample<T>::Sample(const Eigen::EigenBase<Derived> &s)
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: Base(s)
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{}
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// destructor //////////////////////////////////////////////////////////////////
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// destructor //////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T>
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Sample<T>::~Sample(void)
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Sample<T>::~Sample(void)
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{}
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{}
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// operators ///////////////////////////////////////////////////////////////////
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template <typename T>
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T& Sample<T>::operator[](const int s)
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{
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if (s >= 0)
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{
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return Base::operator[](s + 1);
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}
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else
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{
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return Base::operator[](0);
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}
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}
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// IO type /////////////////////////////////////////////////////////////////////
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template <typename T>
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IoObject::IoType Sample<T>::getType(void) const
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{
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return IoType::noType;
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}
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// statistics //////////////////////////////////////////////////////////////////
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template <typename T>
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unsigned int Sample<T>::getOffset(void) const
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{
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return 1u;
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}
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END_NAMESPACE
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END_NAMESPACE
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#endif // Latan_Sample_hpp_
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#endif // Latan_Sample_hpp_
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@ -22,13 +22,14 @@
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#include <latan/Global.hpp>
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#include <latan/Global.hpp>
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#include <latan/Mat.hpp>
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#include <latan/Mat.hpp>
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#include <iostream>
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BEGIN_NAMESPACE
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BEGIN_NAMESPACE
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/******************************************************************************
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/******************************************************************************
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* Array class with statistics *
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* Array class with statistics *
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******************************************************************************/
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******************************************************************************/
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template <typename T>
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template <typename T, unsigned int offset = 0>
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class StatArray: public Eigen::Array<T, Eigen::Dynamic, 1>
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class StatArray: public Eigen::Array<T, Eigen::Dynamic, 1>
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{
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{
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private:
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private:
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@ -41,101 +42,151 @@ public:
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StatArray(const Eigen::EigenBase<Derived> &s);
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StatArray(const Eigen::EigenBase<Derived> &s);
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// destructor
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// destructor
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virtual ~StatArray(void);
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virtual ~StatArray(void);
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// access
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unsigned int size(void) const;
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// operators
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T & operator[](const int s);
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const T & operator[](const int s) const;
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// statistics
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// statistics
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T mean(void) const;
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void bin(unsigned int binSize);
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T variance(void) const;
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T mean(const unsigned int pos, const unsigned int n) const;
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private:
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T mean(void) const;
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// index of the first element to take into account for statistics
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T variance(const unsigned int pos, const unsigned int n) const;
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virtual unsigned int getOffset(void) const;
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T variance(void) const;
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// operations for reduction in statistical computations
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static inline T square(const T &a);
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static inline T sum(const T &a, const T &b);
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};
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};
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template <>
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// reduction operations
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inline DMat StatArray<DMat>::square(const DMat &a);
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namespace ReducOp
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{
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template <typename T>
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inline T square(const T &a);
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template <typename T>
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inline T sum(const T &a, const T &b);
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template <>
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inline DMat square(const DMat &a);
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}
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/******************************************************************************
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/******************************************************************************
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* StatArray class template implementation *
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* StatArray class template implementation *
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******************************************************************************/
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******************************************************************************/
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// constructors ////////////////////////////////////////////////////////////////
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// constructors ////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T, unsigned int offset>
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StatArray<T>::StatArray(void)
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StatArray<T, offset>::StatArray(void)
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: Base(static_cast<typename Base::Index>(1))
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: Base(static_cast<typename Base::Index>(offset))
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{}
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{}
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template <typename T>
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template <typename T, unsigned int offset>
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StatArray<T>::StatArray(const unsigned int size)
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StatArray<T, offset>::StatArray(const unsigned int size)
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: Base(static_cast<typename Base::Index>(size))
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: Base(static_cast<typename Base::Index>(size + offset))
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{}
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template <typename T>
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template <typename Derived>
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StatArray<T>::StatArray(const Eigen::EigenBase<Derived> &s)
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: Base(s)
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{}
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{}
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// destructor //////////////////////////////////////////////////////////////////
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// destructor //////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T, unsigned int offset>
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StatArray<T>::~StatArray(void)
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StatArray<T, offset>::~StatArray(void)
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{}
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{}
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// access //////////////////////////////////////////////////////////////////////
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template <typename T, unsigned int offset>
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unsigned int StatArray<T, offset>::size(void) const
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{
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return Base::size() - offset;
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}
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// operators ///////////////////////////////////////////////////////////////////
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template <typename T, unsigned int offset>
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T & StatArray<T, offset>::operator[](const int s)
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{
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return Base::operator[](s + offset);
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}
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template <typename T, unsigned int offset>
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const T & StatArray<T, offset>::operator[](const int s) const
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{
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return Base::operator[](s + offset);
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}
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// statistics //////////////////////////////////////////////////////////////////
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// statistics //////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T, unsigned int offset>
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T StatArray<T>::mean(void) const
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void StatArray<T, offset>::bin(unsigned int binSize)
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{
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unsigned int q = size()/binSize, r = size()%binSize;
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for (unsigned int i = 0; i < q; ++i)
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{
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(*this)[i] = mean(i*binSize, binSize);
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}
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if (r != 0)
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{
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(*this)[q] = mean(q*binSize, r);
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this->conservativeResize(offset + q + 1);
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}
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else
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{
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this->conservativeResize(offset + q);
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}
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}
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template <typename T, unsigned int offset>
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T StatArray<T, offset>::mean(const unsigned int pos, const unsigned int n) const
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{
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{
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T result;
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T result;
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unsigned int size = this->size() - getOffset();
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if (size)
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if (n)
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{
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{
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result = this->tail(size).redux(&StatArray<T>::sum);
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result = this->segment(pos+offset, n).redux(&ReducOp::sum<T>);
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}
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}
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return result/static_cast<double>(size);
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return result/static_cast<double>(n);
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}
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}
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template <typename T>
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template <typename T, unsigned int offset>
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T StatArray<T>::variance(void) const
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T StatArray<T, offset>::mean(void) const
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{
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return mean(0, size());
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}
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template <typename T, unsigned int offset>
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T StatArray<T, offset>::variance(const unsigned int pos, const unsigned int n) const
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{
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{
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T s, sqs, result;
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T s, sqs, result;
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unsigned int size = this->size() - getOffset();
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if (size)
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if (n)
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{
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{
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s = this->tail(size).redux(&StatArray<T>::sum);
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s = this->segment(pos+offset, n).redux(&ReducOp::sum<T>);
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sqs = this->tail(size).unaryExpr(&StatArray<T>::square)
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sqs = this->segment(pos+offset, n).unaryExpr(&ReducOp::square<T>)
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.redux(&StatArray<T>::sum);
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.redux(&ReducOp::sum<T>);
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result = sqs - square(s)/static_cast<double>(size);
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result = sqs - ReducOp::square(s)/static_cast<double>(n);
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}
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}
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return result/static_cast<double>(size - 1);
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return result/static_cast<double>(n - 1);
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}
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}
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template <typename T, unsigned int offset>
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T StatArray<T, offset>::variance(void) const
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{
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return variance(0, size());
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}
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// reduction operations ////////////////////////////////////////////////////////
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template <typename T>
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template <typename T>
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inline T StatArray<T>::sum(const T &a, const T &b)
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inline T ReducOp::sum(const T &a, const T &b)
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{
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{
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return a + b;
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return a + b;
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}
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}
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template <typename T>
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template <typename T>
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inline T StatArray<T>::square(const T &a)
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inline T ReducOp::square(const T &a)
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{
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{
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return a*a;
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return a*a;
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}
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}
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template <>
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template <>
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inline DMat StatArray<DMat>::square(const DMat &a)
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inline DMat ReducOp::square(const DMat &a)
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{
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{
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return a.cwiseProduct(a);
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return a.cwiseProduct(a);
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}
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}
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template <typename T>
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unsigned int StatArray<T>::getOffset(void) const
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{
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return 0u;
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}
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END_NAMESPACE
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END_NAMESPACE
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#endif // Latan_StatArray_hpp_
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#endif // Latan_StatArray_hpp_
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