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mirror of https://github.com/aportelli/LatAnalyze.git synced 2024-11-10 08:55:37 +00:00

more loop macros

This commit is contained in:
Antonin Portelli 2014-03-04 17:16:36 +00:00
parent 6b8ba55e47
commit 559a29f92d
2 changed files with 39 additions and 34 deletions

View File

@ -75,8 +75,8 @@ using Vec = Mat<T, dynamic, 1>;
typedef Vec<int> IVec;
typedef Vec<double> DVec;
#define FOR_VEC(vec, i) \
for (Latan::Index i = 0; i < (vec).size(); ++i)
#define FOR_VEC(vec, i) for (Latan::Index i = 0; i < (vec).size(); ++i)
#define FOR_ARRAY(ar, i) FOR_VEC(ar, i)
// block types
template <typename Derived>

View File

@ -24,12 +24,15 @@
#include <latan/Mat.hpp>
#include <iostream>
#define FOR_STAT_ARRAY(ar, i) \
for (Latan::Index i = -(ar).offset; i < (ar).size(); ++i)
BEGIN_NAMESPACE
/******************************************************************************
* Array class with statistics *
******************************************************************************/
template <typename T, unsigned int offset = 0>
template <typename T, Index os = 0>
class StatArray: public Array<T, dynamic, 1>
{
private:
@ -38,7 +41,7 @@ public:
// constructors
StatArray(void);
explicit StatArray(const Index size);
EIGEN_EXPR_CTOR(StatArray, unique_arg(StatArray<T, offset>), Base,
EIGEN_EXPR_CTOR(StatArray, unique_arg(StatArray<T, os>), Base,
ArrayBase)
// destructor
virtual ~StatArray(void) = default;
@ -53,6 +56,8 @@ public:
T mean(void) const;
T variance(const Index pos, const Index n) const;
T variance(void) const;
public:
static const Index offset = os;
};
// reduction operations
@ -70,40 +75,40 @@ namespace ReducOp
* StatArray class template implementation *
******************************************************************************/
// constructors ////////////////////////////////////////////////////////////////
template <typename T, unsigned int offset>
StatArray<T, offset>::StatArray(void)
: Base(static_cast<typename Base::Index>(offset))
template <typename T, Index os>
StatArray<T, os>::StatArray(void)
: Base(static_cast<typename Base::Index>(os))
{}
template <typename T, unsigned int offset>
StatArray<T, offset>::StatArray(const Index size)
: Base(static_cast<typename Base::Index>(size + offset))
template <typename T, Index os>
StatArray<T, os>::StatArray(const Index size)
: Base(static_cast<typename Base::Index>(size + os))
{}
// access //////////////////////////////////////////////////////////////////////
template <typename T, unsigned int offset>
Index StatArray<T, offset>::size(void) const
template <typename T, Index os>
Index StatArray<T, os>::size(void) const
{
return Base::size() - offset;
return Base::size() - os;
}
// operators ///////////////////////////////////////////////////////////////////
template <typename T, unsigned int offset>
T & StatArray<T, offset>::operator[](const Index s)
template <typename T, Index os>
T & StatArray<T, os>::operator[](const Index s)
{
return Base::operator[](s + offset);
return Base::operator[](s + os);
}
template <typename T, unsigned int offset>
const T & StatArray<T, offset>::operator[](const Index s) const
template <typename T, Index os>
const T & StatArray<T, os>::operator[](const Index s) const
{
return Base::operator[](s + offset);
return Base::operator[](s + os);
}
// statistics //////////////////////////////////////////////////////////////////
template <typename T, unsigned int offset>
void StatArray<T, offset>::bin(Index binSize)
template <typename T, Index os>
void StatArray<T, os>::bin(Index binSize)
{
Index q = size()/binSize, r = size()%binSize;
@ -114,42 +119,42 @@ void StatArray<T, offset>::bin(Index binSize)
if (r != 0)
{
(*this)[q] = mean(q*binSize, r);
this->conservativeResize(offset + q + 1);
this->conservativeResize(os + q + 1);
}
else
{
this->conservativeResize(offset + q);
this->conservativeResize(os + q);
}
}
template <typename T, unsigned int offset>
T StatArray<T, offset>::mean(const Index pos, const Index n) const
template <typename T, Index os>
T StatArray<T, os>::mean(const Index pos, const Index n) const
{
T result;
if (n)
{
result = this->segment(pos+offset, n).redux(&ReducOp::sum<T>);
result = this->segment(pos+os, n).redux(&ReducOp::sum<T>);
}
return result/static_cast<double>(n);
}
template <typename T, unsigned int offset>
T StatArray<T, offset>::mean(void) const
template <typename T, Index os>
T StatArray<T, os>::mean(void) const
{
return mean(0, size());
}
template <typename T, unsigned int offset>
T StatArray<T, offset>::variance(const Index pos, const Index n) const
template <typename T, Index os>
T StatArray<T, os>::variance(const Index pos, const Index n) const
{
T s, sqs, result;
if (n)
{
s = this->segment(pos+offset, n).redux(&ReducOp::sum<T>);
sqs = this->segment(pos+offset, n).unaryExpr(&ReducOp::square<T>)
s = this->segment(pos+os, n).redux(&ReducOp::sum<T>);
sqs = this->segment(pos+os, n).unaryExpr(&ReducOp::square<T>)
.redux(&ReducOp::sum<T>);
result = sqs - ReducOp::square(s)/static_cast<double>(n);
}
@ -157,8 +162,8 @@ T StatArray<T, offset>::variance(const Index pos, const Index n) const
return result/static_cast<double>(n - 1);
}
template <typename T, unsigned int offset>
T StatArray<T, offset>::variance(void) const
template <typename T, Index os>
T StatArray<T, os>::variance(void) const
{
return variance(0, size());
}