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mirror of https://github.com/aportelli/LatAnalyze.git synced 2024-09-20 05:25:37 +01:00

rewriting of matrix sample class as a pure template with scalar operations

This commit is contained in:
Antonin Portelli 2014-04-07 18:08:52 +01:00
parent 270186f52e
commit f79533c5ce
4 changed files with 242 additions and 127 deletions

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@ -23,17 +23,14 @@
#include <LatAnalyze/Global.hpp>
#include <LatAnalyze/IoObject.hpp>
#include <LatAnalyze/ParserState.hpp>
#include <LatAnalyze/Mat.hpp>
#include <LatAnalyze/MatSample.hpp>
#include <LatAnalyze/RandGen.hpp>
#include <queue>
#include <unordered_map>
BEGIN_NAMESPACE
// forward declaration of IO types
class DMat;
class DMatSample;
class RandGen;
class RandGenState;
/******************************************************************************
* Abstract datafile class *
******************************************************************************/

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@ -23,95 +23,8 @@
using namespace std;
using namespace Latan;
/******************************************************************************
* DMatSample implementation *
******************************************************************************/
// constructors ////////////////////////////////////////////////////////////////
DMatSample::DMatSample(const Index nSample, const Index nRow,
const Index nCol)
: Sample<DMat>(nSample)
{
resizeMat(nRow, nCol);
}
DMatSample::DMatSample(ConstBlock &sampleBlock)
: DMatSample(sampleBlock.getSample().size(), sampleBlock.getNRow(),
sampleBlock.getNCol())
{
const DMatSample &sample = sampleBlock.getSample();
this->resize(sample.size());
FOR_STAT_ARRAY(*this, s)
{
(*this)[s] = sample[s].block(sampleBlock.getStartRow(),
sampleBlock.getStartCol(),
sampleBlock.getNRow(),
sampleBlock.getNCol());
}
}
DMatSample::DMatSample(ConstBlock &&sampleBlock)
: DMatSample(sampleBlock)
{}
// assignement operator ////////////////////////////////////////////////////////
DMatSample & DMatSample::operator=(Block &sampleBlock)
{
DMatSample tmp(sampleBlock);
this->swap(tmp);
return *this;
}
DMatSample & DMatSample::operator=(Block &&sampleBlock)
{
*this = sampleBlock;
return *this;
}
DMatSample & DMatSample::operator=(ConstBlock &sampleBlock)
{
DMatSample tmp(sampleBlock);
this->swap(tmp);
return *this;
}
DMatSample & DMatSample::operator=(ConstBlock &&sampleBlock)
{
*this = sampleBlock;
return *this;
}
// block access ////////////////////////////////////////////////////////////////
DMatSample::ConstBlock DMatSample::block(const Index i, const Index j,
const Index nRow,
const Index nCol) const
{
return ConstBlock(*this, i, j, nRow, nCol);
}
DMatSample::Block DMatSample::block(const Index i, const Index j,
const Index nRow, const Index nCol)
{
return Block(*this, i, j, nRow, nCol);
}
// resize all matrices /////////////////////////////////////////////////////////
void DMatSample::resizeMat(const Index nRow, const Index nCol)
{
FOR_STAT_ARRAY(*this, s)
{
(*this)[s].resize(nRow, nCol);
}
}
// IO type /////////////////////////////////////////////////////////////////////
IoObject::IoType DMatSample::getType(void) const
template <>
IoObject::IoType MatSample<double>::getType(void) const
{
return IoType::dMatSample;
}

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@ -23,13 +23,19 @@
#include <LatAnalyze/Global.hpp>
#include <LatAnalyze/Mat.hpp>
#include <LatAnalyze/StatArray.hpp>
#include <functional>
BEGIN_NAMESPACE
/******************************************************************************
* matrix sample class *
******************************************************************************/
class DMatSample: public Sample<DMat>, public IoObject
#define SCAL_OP_RETURN(op, x) this->unaryExpr(\
std::bind(MatSample<T>::scalar##op,\
std::placeholders::_1, x))
template <typename T>
class MatSample: public Sample<Mat<T>>, public IoObject
{
public:
// block type template
@ -61,22 +67,36 @@ public:
const Index i_, j_, nRow_, nCol_;
};
// block types
typedef BlockTemplate<DMatSample> Block;
typedef const BlockTemplate<const DMatSample> ConstBlock;
typedef BlockTemplate<Sample<Mat<T>>> Block;
typedef const BlockTemplate<const Sample<Mat<T>>> ConstBlock;
private:
static inline Mat<T> scalarMul(const Mat<T> &m, const T &x)
{
return m*x;
}
static inline Mat<T> scalarDiv(const Mat<T> &m, const T &x)
{
return m/x;
}
public:
// constructors
using Sample<DMat>::Sample;
DMatSample(void) = default;
DMatSample(const Index nSample, const Index nRow, const Index nCol);
DMatSample(ConstBlock &sampleBlock);
DMatSample(ConstBlock &&sampleBlock);
using Sample<Mat<T>>::Sample;
MatSample(void) = default;
MatSample(const Index nSample, const Index nRow, const Index nCol);
MatSample(ConstBlock &sampleBlock);
MatSample(ConstBlock &&sampleBlock);
// destructor
virtual ~DMatSample(void) = default;
virtual ~MatSample(void) = default;
// assignement operator
DMatSample & operator=(Block &sampleBlock);
DMatSample & operator=(Block &&sampleBlock);
DMatSample & operator=(ConstBlock &sampleBlock);
DMatSample & operator=(ConstBlock &&sampleBlock);
MatSample & operator=(Block &sampleBlock);
MatSample & operator=(Block &&sampleBlock);
MatSample & operator=(ConstBlock &sampleBlock);
MatSample & operator=(ConstBlock &&sampleBlock);
// product/division by scalar operators (not provided by Eigen)
auto operator*=(const T &x)->decltype(SCAL_OP_RETURN(Mul, x));
auto operator*=(const T &&x)->decltype(SCAL_OP_RETURN(Mul, x));
auto operator/=(const T &x)->decltype(SCAL_OP_RETURN(Div, x));
auto operator/=(const T &&x)->decltype(SCAL_OP_RETURN(Div, x));
// block access
ConstBlock block(const Index i, const Index j, const Index nRow,
const Index nCol) const;
@ -86,16 +106,59 @@ public:
void resizeMat(const Index nRow, const Index nCol);
// IO type
virtual IoType getType(void) const;
};
// non-member operators
template <typename T>
inline auto operator*(MatSample<T> s, const T &x)->decltype(s *= x)
{
return s *= x;
}
template <typename T>
inline auto operator*(MatSample<T> s, const T &&x)->decltype(s *= x)
{
return s *= x;
}
template <typename T>
inline auto operator*(const T &x, MatSample<T> s)->decltype(s *= x)
{
return s *= x;
}
template <typename T>
inline auto operator*(const T &&x, MatSample<T> s)->decltype(s *= x)
{
return s *= x;
}
template <typename T>
inline auto operator/(MatSample<T> s, const T &x)->decltype(s /= x)
{
return s /= x;
}
template <typename T>
inline auto operator/(MatSample<T> s, const T &&x)->decltype(s /= x)
{
return s /= x;
}
// type aliases
typedef MatSample<double> DMatSample;
typedef MatSample<std::complex<double>> CMatSample;
/******************************************************************************
* Block template implementation *
******************************************************************************/
// constructors ////////////////////////////////////////////////////////////////
template <typename T>
template <class S>
DMatSample::BlockTemplate<S>::BlockTemplate(S &sample, const Index i,
const Index j, const Index nRow,
const Index nCol)
MatSample<T>::BlockTemplate<S>::BlockTemplate(S &sample, const Index i,
const Index j, const Index nRow,
const Index nCol)
: sample_(sample)
, i_(i)
, j_(j)
@ -103,8 +166,9 @@ DMatSample::BlockTemplate<S>::BlockTemplate(S &sample, const Index i,
, nCol_(nCol)
{}
template <typename T>
template <class S>
DMatSample::BlockTemplate<S>::BlockTemplate(BlockTemplate<NonConstType> &b)
MatSample<T>::BlockTemplate<S>::BlockTemplate(BlockTemplate<NonConstType> &b)
: sample_(b.getSample())
, i_(b.getStartRow())
, j_(b.getStartCol())
@ -112,52 +176,60 @@ DMatSample::BlockTemplate<S>::BlockTemplate(BlockTemplate<NonConstType> &b)
, nCol_(b.getNCol())
{}
template <typename T>
template <class S>
DMatSample::BlockTemplate<S>::BlockTemplate(BlockTemplate<NonConstType> &&b)
MatSample<T>::BlockTemplate<S>::BlockTemplate(BlockTemplate<NonConstType> &&b)
: BlockTemplate(b)
{}
// access //////////////////////////////////////////////////////////////////////
template <typename T>
template <class S>
S & DMatSample::BlockTemplate<S>::getSample(void)
S & MatSample<T>::BlockTemplate<S>::getSample(void)
{
return sample_;
}
template <typename T>
template <class S>
const S & DMatSample::BlockTemplate<S>::getSample(void) const
const S & MatSample<T>::BlockTemplate<S>::getSample(void) const
{
return sample_;
}
template <typename T>
template <class S>
Index DMatSample::BlockTemplate<S>::getStartRow(void) const
Index MatSample<T>::BlockTemplate<S>::getStartRow(void) const
{
return i_;
}
template <typename T>
template <class S>
Index DMatSample::BlockTemplate<S>::getStartCol(void) const
Index MatSample<T>::BlockTemplate<S>::getStartCol(void) const
{
return j_;
}
template <typename T>
template <class S>
Index DMatSample::BlockTemplate<S>::getNRow(void) const
Index MatSample<T>::BlockTemplate<S>::getNRow(void) const
{
return nRow_;
}
template <typename T>
template <class S>
Index DMatSample::BlockTemplate<S>::getNCol(void) const
Index MatSample<T>::BlockTemplate<S>::getNCol(void) const
{
return nCol_;
}
// assignement operators ///////////////////////////////////////////////////////
template <typename T>
template <class S>
DMatSample::BlockTemplate<S> &
DMatSample::BlockTemplate<S>::operator=(const S &sample)
MatSample<T>::BlockTemplate<S> &
MatSample<T>::BlockTemplate<S>::operator=(const S &sample)
{
FOR_STAT_ARRAY(sample_, s)
{
@ -167,15 +239,148 @@ DMatSample::BlockTemplate<S>::operator=(const S &sample)
return *this;
}
template <typename T>
template <class S>
DMatSample::BlockTemplate<S> &
DMatSample::BlockTemplate<S>::operator=(const S &&sample)
MatSample<T>::BlockTemplate<S> &
MatSample<T>::BlockTemplate<S>::operator=(const S &&sample)
{
*this = sample;
return *this;
}
/******************************************************************************
* DMatSample implementation *
******************************************************************************/
// constructors ////////////////////////////////////////////////////////////////
template <typename T>
MatSample<T>::MatSample(const Index nSample, const Index nRow,
const Index nCol)
: Sample<Mat<T>>(nSample)
{
resizeMat(nRow, nCol);
}
template <typename T>
MatSample<T>::MatSample(ConstBlock &sampleBlock)
: MatSample(sampleBlock.getSample().size(), sampleBlock.getNRow(),
sampleBlock.getNCol())
{
const MatSample<T> &sample = sampleBlock.getSample();
this->resize(sample.size());
FOR_STAT_ARRAY(*this, s)
{
(*this)[s] = sample[s].block(sampleBlock.getStartRow(),
sampleBlock.getStartCol(),
sampleBlock.getNRow(),
sampleBlock.getNCol());
}
}
template <typename T>
MatSample<T>::MatSample(ConstBlock &&sampleBlock)
: MatSample(sampleBlock)
{}
// assignement operator ////////////////////////////////////////////////////////
template <typename T>
MatSample<T> & MatSample<T>::operator=(Block &sampleBlock)
{
MatSample<T> tmp(sampleBlock);
this->swap(tmp);
return *this;
}
template <typename T>
MatSample<T> & MatSample<T>::operator=(Block &&sampleBlock)
{
*this = sampleBlock;
return *this;
}
template <typename T>
MatSample<T> & MatSample<T>::operator=(ConstBlock &sampleBlock)
{
MatSample<T> tmp(sampleBlock);
this->swap(tmp);
return *this;
}
template <typename T>
MatSample<T> & MatSample<T>::operator=(ConstBlock &&sampleBlock)
{
*this = sampleBlock;
return *this;
}
// product/division by scalar operators (not provided by Eigen) ////////////////
template <typename T>
auto MatSample<T>::operator*=(const T &x)->decltype(SCAL_OP_RETURN(Mul, x))
{
return SCAL_OP_RETURN(Mul, x);
}
template <typename T>
auto MatSample<T>::operator*=(const T &&x)->decltype(SCAL_OP_RETURN(Mul, x))
{
return (*this) *= x;
}
template <typename T>
auto MatSample<T>::operator/=(const T &x)->decltype(SCAL_OP_RETURN(Div, x))
{
return SCAL_OP_RETURN(Div, x);
}
template <typename T>
auto MatSample<T>::operator/=(const T &&x)->decltype(SCAL_OP_RETURN(Div, x))
{
return (*this) *= x;
}
// block access ////////////////////////////////////////////////////////////////
template <typename T>
typename MatSample<T>::ConstBlock MatSample<T>::block(const Index i,
const Index j,
const Index nRow,
const Index nCol) const
{
return ConstBlock(*this, i, j, nRow, nCol);
}
template <typename T>
typename MatSample<T>::Block MatSample<T>::block(const Index i,
const Index j,
const Index nRow,
const Index nCol)
{
return Block(*this, i, j, nRow, nCol);
}
// resize all matrices /////////////////////////////////////////////////////////
template <typename T>
void MatSample<T>::resizeMat(const Index nRow, const Index nCol)
{
FOR_STAT_ARRAY(*this, s)
{
(*this)[s].resize(nRow, nCol);
}
}
// IO type /////////////////////////////////////////////////////////////////////
template <typename T>
IoObject::IoType MatSample<T>::getType(void) const
{
return IoType::noType;
}
END_NAMESPACE
#endif // Latan_MatSample_hpp_

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@ -90,7 +90,6 @@ template <typename T>
using Sample = StatArray<T, SAMPLE_OFFSET>;
typedef Sample<double> DSample;
typedef Sample<CMat> CMatSample;
/******************************************************************************
* StatArray class template implementation *
@ -245,17 +244,18 @@ inline T ReducOp::tensProd(const T &v1 __unused, const T &v2 __unused)
}
template <>
inline DMat ReducOp::prod(const DMat &a, const DMat &b)
inline Mat<double> ReducOp::prod(const Mat<double> &a, const Mat<double> &b)
{
return a.cwiseProduct(b);
}
template <>
inline DMat ReducOp::tensProd(const DMat &v1, const DMat &v2)
inline Mat<double> ReducOp::tensProd(const Mat<double> &v1,
const Mat<double> &v2)
{
if ((v1.cols() != 1)||(v2.cols() != 1))
{
LATAN_ERROR(Size,
LATAN_ERROR(Size,
"tensorial product is only valid with column vectors");
}