##// END OF EJS Templates
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Handles QCustomPlot plottables for vectors (2) - Uses the previous map in VisualizationGraphWidget

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DataSeries.h
293 lines | 9.1 KiB | text/x-c | CLexer
#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;
}
/**
* @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:
class IteratorValue {
public:
explicit IteratorValue(const DataSeries &dataSeries, bool begin)
: m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()),
m_ValuesIt(begin ? dataSeries.valuesData()->cbegin()
: dataSeries.valuesData()->cend())
{
}
double x() const { return m_XIt->at(0); }
double value() const { return m_ValuesIt->at(0); }
double value(int componentIndex) const { return m_ValuesIt->at(componentIndex); }
void next()
{
++m_XIt;
++m_ValuesIt;
}
bool operator==(const IteratorValue &other) const
{
return std::tie(m_XIt, m_ValuesIt) == std::tie(other.m_XIt, other.m_ValuesIt);
}
private:
ArrayData<1>::Iterator m_XIt;
typename ArrayData<Dim>::Iterator m_ValuesIt;
};
class Iterator {
public:
using iterator_category = std::forward_iterator_tag;
using value_type = const IteratorValue;
using difference_type = std::ptrdiff_t;
using pointer = value_type *;
using reference = value_type &;
Iterator(const DataSeries &dataSeries, bool begin) : m_CurrentValue{dataSeries, begin} {}
virtual ~Iterator() noexcept = default;
Iterator(const Iterator &) = default;
Iterator(Iterator &&) = default;
Iterator &operator=(const Iterator &) = default;
Iterator &operator=(Iterator &&) = default;
Iterator &operator++()
{
m_CurrentValue.next();
return *this;
}
pointer operator->() const { return &m_CurrentValue; }
reference operator*() const { return m_CurrentValue; }
bool operator==(const Iterator &other) const
{
return m_CurrentValue == other.m_CurrentValue;
}
bool operator!=(const Iterator &other) const { return !(*this == other); }
private:
IteratorValue m_CurrentValue;
};
/// @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 //
// ///////// //
Iterator cbegin() const { return Iterator{*this, true}; }
Iterator cend() const { return Iterator{*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 itValue.x() == value;
});
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