|
|
#ifndef SCIQLOP_DATASERIES_H
|
|
|
#define SCIQLOP_DATASERIES_H
|
|
|
|
|
|
#include "CoreGlobal.h"
|
|
|
|
|
|
#include <Common/SortUtils.h>
|
|
|
|
|
|
#include <Data/ArrayData.h>
|
|
|
#include <Data/IDataSeries.h>
|
|
|
|
|
|
#include <QLoggingCategory>
|
|
|
#include <QReadLocker>
|
|
|
#include <QReadWriteLock>
|
|
|
#include <memory>
|
|
|
|
|
|
// We don't use the Qt macro since the log is used in the header file, which causes multiple log
|
|
|
// definitions with inheritance. Inline method is used instead
|
|
|
inline const QLoggingCategory &LOG_DataSeries()
|
|
|
{
|
|
|
static const QLoggingCategory category{"DataSeries"};
|
|
|
return category;
|
|
|
}
|
|
|
|
|
|
template <int Dim>
|
|
|
class DataSeries;
|
|
|
|
|
|
namespace dataseries_detail {
|
|
|
|
|
|
template <int Dim>
|
|
|
class IteratorValue : public DataSeriesIteratorValue::Impl {
|
|
|
public:
|
|
|
explicit IteratorValue(const DataSeries<Dim> &dataSeries, bool begin)
|
|
|
: m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()),
|
|
|
m_ValuesIt(begin ? dataSeries.valuesData()->cbegin()
|
|
|
: dataSeries.valuesData()->cend())
|
|
|
{
|
|
|
}
|
|
|
IteratorValue(const IteratorValue &other) = default;
|
|
|
|
|
|
std::unique_ptr<DataSeriesIteratorValue::Impl> clone() const override
|
|
|
{
|
|
|
return std::make_unique<IteratorValue<Dim> >(*this);
|
|
|
}
|
|
|
|
|
|
bool equals(const DataSeriesIteratorValue::Impl &other) const override try {
|
|
|
const auto &otherImpl = dynamic_cast<const IteratorValue &>(other);
|
|
|
return std::tie(m_XIt, m_ValuesIt) == std::tie(otherImpl.m_XIt, otherImpl.m_ValuesIt);
|
|
|
}
|
|
|
catch (const std::bad_cast &) {
|
|
|
return false;
|
|
|
}
|
|
|
|
|
|
void next() override
|
|
|
{
|
|
|
++m_XIt;
|
|
|
++m_ValuesIt;
|
|
|
}
|
|
|
|
|
|
void prev() override
|
|
|
{
|
|
|
--m_XIt;
|
|
|
--m_ValuesIt;
|
|
|
}
|
|
|
|
|
|
double x() const override { return m_XIt->at(0); }
|
|
|
double value() const override { return m_ValuesIt->at(0); }
|
|
|
double value(int componentIndex) const override { return m_ValuesIt->at(componentIndex); }
|
|
|
|
|
|
private:
|
|
|
ArrayData<1>::Iterator m_XIt;
|
|
|
typename ArrayData<Dim>::Iterator m_ValuesIt;
|
|
|
};
|
|
|
} // namespace dataseries_detail
|
|
|
|
|
|
/**
|
|
|
* @brief The DataSeries class is the base (abstract) implementation of IDataSeries.
|
|
|
*
|
|
|
* It proposes to set a dimension for the values data.
|
|
|
*
|
|
|
* A DataSeries is always sorted on its x-axis data.
|
|
|
*
|
|
|
* @tparam Dim The dimension of the values data
|
|
|
*
|
|
|
*/
|
|
|
template <int Dim>
|
|
|
class SCIQLOP_CORE_EXPORT DataSeries : public IDataSeries {
|
|
|
public:
|
|
|
/// @sa IDataSeries::xAxisData()
|
|
|
std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; }
|
|
|
const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; }
|
|
|
|
|
|
/// @sa IDataSeries::xAxisUnit()
|
|
|
Unit xAxisUnit() const override { return m_XAxisUnit; }
|
|
|
|
|
|
/// @return the values dataset
|
|
|
std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; }
|
|
|
const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; }
|
|
|
|
|
|
/// @sa IDataSeries::valuesUnit()
|
|
|
Unit valuesUnit() const override { return m_ValuesUnit; }
|
|
|
|
|
|
|
|
|
SqpRange range() const override
|
|
|
{
|
|
|
if (!m_XAxisData->cdata().isEmpty()) {
|
|
|
return SqpRange{m_XAxisData->cdata().first(), m_XAxisData->cdata().last()};
|
|
|
}
|
|
|
|
|
|
return SqpRange{};
|
|
|
}
|
|
|
|
|
|
void clear()
|
|
|
{
|
|
|
m_XAxisData->clear();
|
|
|
m_ValuesData->clear();
|
|
|
}
|
|
|
|
|
|
/// Merges into the data series an other data series
|
|
|
/// @remarks the data series to merge with is cleared after the operation
|
|
|
void merge(IDataSeries *dataSeries) override
|
|
|
{
|
|
|
dataSeries->lockWrite();
|
|
|
lockWrite();
|
|
|
|
|
|
if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) {
|
|
|
const auto &otherXAxisData = other->xAxisData()->cdata();
|
|
|
const auto &xAxisData = m_XAxisData->cdata();
|
|
|
|
|
|
// As data series are sorted, we can improve performances of merge, by call the sort
|
|
|
// method only if the two data series overlap.
|
|
|
if (!otherXAxisData.empty()) {
|
|
|
auto firstValue = otherXAxisData.front();
|
|
|
auto lastValue = otherXAxisData.back();
|
|
|
|
|
|
auto xAxisDataBegin = xAxisData.cbegin();
|
|
|
auto xAxisDataEnd = xAxisData.cend();
|
|
|
|
|
|
bool prepend;
|
|
|
bool sortNeeded;
|
|
|
|
|
|
if (std::lower_bound(xAxisDataBegin, xAxisDataEnd, firstValue) == xAxisDataEnd) {
|
|
|
// Other data series if after data series
|
|
|
prepend = false;
|
|
|
sortNeeded = false;
|
|
|
}
|
|
|
else if (std::upper_bound(xAxisDataBegin, xAxisDataEnd, lastValue)
|
|
|
== xAxisDataBegin) {
|
|
|
// Other data series if before data series
|
|
|
prepend = true;
|
|
|
sortNeeded = false;
|
|
|
}
|
|
|
else {
|
|
|
// The two data series overlap
|
|
|
prepend = false;
|
|
|
sortNeeded = true;
|
|
|
}
|
|
|
|
|
|
// Makes the merge
|
|
|
m_XAxisData->add(*other->xAxisData(), prepend);
|
|
|
m_ValuesData->add(*other->valuesData(), prepend);
|
|
|
|
|
|
if (sortNeeded) {
|
|
|
sort();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
// Clears the other data series
|
|
|
other->clear();
|
|
|
}
|
|
|
else {
|
|
|
qCWarning(LOG_DataSeries())
|
|
|
<< QObject::tr("Detection of a type of IDataSeries we cannot merge with !");
|
|
|
}
|
|
|
unlock();
|
|
|
dataSeries->unlock();
|
|
|
}
|
|
|
|
|
|
// ///////// //
|
|
|
// Iterators //
|
|
|
// ///////// //
|
|
|
|
|
|
DataSeriesIterator cbegin() const override
|
|
|
{
|
|
|
return DataSeriesIterator{DataSeriesIteratorValue{
|
|
|
std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, true)}};
|
|
|
}
|
|
|
|
|
|
DataSeriesIterator cend() const override
|
|
|
{
|
|
|
return DataSeriesIterator{DataSeriesIteratorValue{
|
|
|
std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, false)}};
|
|
|
}
|
|
|
|
|
|
std::pair<Iterator, Iterator> subData(double min, double max) const
|
|
|
{
|
|
|
if (min > max) {
|
|
|
std::swap(min, max);
|
|
|
}
|
|
|
|
|
|
auto begin = cbegin();
|
|
|
auto end = cend();
|
|
|
|
|
|
auto lowerIt
|
|
|
= std::lower_bound(begin, end, min, [](const auto &itValue, const auto &value) {
|
|
|
return itValue.x() < value;
|
|
|
});
|
|
|
auto upperIt
|
|
|
= std::upper_bound(begin, end, max, [](const auto &value, const auto &itValue) {
|
|
|
return value < itValue.x();
|
|
|
});
|
|
|
|
|
|
return std::make_pair(lowerIt, upperIt);
|
|
|
}
|
|
|
|
|
|
// /////// //
|
|
|
// Mutexes //
|
|
|
// /////// //
|
|
|
|
|
|
virtual void lockRead() { m_Lock.lockForRead(); }
|
|
|
virtual void lockWrite() { m_Lock.lockForWrite(); }
|
|
|
virtual void unlock() { m_Lock.unlock(); }
|
|
|
|
|
|
protected:
|
|
|
/// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a
|
|
|
/// DataSeries with no values will be created.
|
|
|
/// @remarks data series is automatically sorted on its x-axis data
|
|
|
explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit,
|
|
|
std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit)
|
|
|
: m_XAxisData{xAxisData},
|
|
|
m_XAxisUnit{xAxisUnit},
|
|
|
m_ValuesData{valuesData},
|
|
|
m_ValuesUnit{valuesUnit}
|
|
|
{
|
|
|
if (m_XAxisData->size() != m_ValuesData->size()) {
|
|
|
clear();
|
|
|
}
|
|
|
|
|
|
// Sorts data if it's not the case
|
|
|
const auto &xAxisCData = m_XAxisData->cdata();
|
|
|
if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) {
|
|
|
sort();
|
|
|
}
|
|
|
}
|
|
|
|
|
|
/// Copy ctor
|
|
|
explicit DataSeries(const DataSeries<Dim> &other)
|
|
|
: m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)},
|
|
|
m_XAxisUnit{other.m_XAxisUnit},
|
|
|
m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)},
|
|
|
m_ValuesUnit{other.m_ValuesUnit}
|
|
|
{
|
|
|
// Since a series is ordered from its construction and is always ordered, it is not
|
|
|
// necessary to call the sort method here ('other' is sorted)
|
|
|
}
|
|
|
|
|
|
/// Assignment operator
|
|
|
template <int D>
|
|
|
DataSeries &operator=(DataSeries<D> other)
|
|
|
{
|
|
|
std::swap(m_XAxisData, other.m_XAxisData);
|
|
|
std::swap(m_XAxisUnit, other.m_XAxisUnit);
|
|
|
std::swap(m_ValuesData, other.m_ValuesData);
|
|
|
std::swap(m_ValuesUnit, other.m_ValuesUnit);
|
|
|
|
|
|
return *this;
|
|
|
}
|
|
|
|
|
|
private:
|
|
|
/**
|
|
|
* Sorts data series on its x-axis data
|
|
|
*/
|
|
|
void sort() noexcept
|
|
|
{
|
|
|
auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>());
|
|
|
m_XAxisData = m_XAxisData->sort(permutation);
|
|
|
m_ValuesData = m_ValuesData->sort(permutation);
|
|
|
}
|
|
|
|
|
|
std::shared_ptr<ArrayData<1> > m_XAxisData;
|
|
|
Unit m_XAxisUnit;
|
|
|
std::shared_ptr<ArrayData<Dim> > m_ValuesData;
|
|
|
Unit m_ValuesUnit;
|
|
|
|
|
|
QReadWriteLock m_Lock;
|
|
|
};
|
|
|
|
|
|
#endif // SCIQLOP_DATASERIES_H
|
|
|
|
