@@ -73,14 +73,14 public: | |||||
73 | } |
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73 | } | |
74 |
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74 | |||
75 | /** |
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75 | /** | |
76 | * @return the data as a vector |
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76 | * @return the data as a vector, as a const reference | |
77 | * @remarks this method is only available for a unidimensional ArrayData |
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77 | * @remarks this method is only available for a unidimensional ArrayData | |
78 | */ |
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78 | */ | |
79 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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79 | template <int D = Dim, typename = std::enable_if_t<D == 1> > | |
80 |
QVector<double> data( |
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80 | const QVector<double> &cdata() const noexcept | |
81 | { |
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81 | { | |
82 | QReadLocker locker{&m_Lock}; |
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82 | QReadLocker locker{&m_Lock}; | |
83 |
return m_Data.at( |
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83 | return m_Data.at(0); | |
84 | } |
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84 | } | |
85 |
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85 | |||
86 | // TODO Comment |
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86 | // TODO Comment |
@@ -17,7 +17,9 Q_LOGGING_CATEGORY(LOG_DataSeries, "DataSeries") | |||||
17 | /** |
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17 | /** | |
18 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. |
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18 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. | |
19 | * |
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19 | * | |
20 | * It proposes to set a dimension for the values ββdata |
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20 | * It proposes to set a dimension for the values ββdata. | |
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21 | * | |||
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22 | * A DataSeries is always sorted on its x-axis data. | |||
21 | * |
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23 | * | |
22 | * @tparam Dim The dimension of the values data |
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24 | * @tparam Dim The dimension of the values data | |
23 | * |
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25 | * | |
@@ -64,7 +66,9 public: | |||||
64 | virtual void unlock() { m_Lock.unlock(); } |
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66 | virtual void unlock() { m_Lock.unlock(); } | |
65 |
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67 | |||
66 | protected: |
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68 | protected: | |
67 | /// Protected ctor (DataSeries is abstract) |
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69 | /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a | |
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70 | /// DataSeries with no values will be created. | |||
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71 | /// @remarks data series is automatically sorted on its x-axis data | |||
68 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, |
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72 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, | |
69 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) |
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73 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) | |
70 | : m_XAxisData{xAxisData}, |
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74 | : m_XAxisData{xAxisData}, | |
@@ -72,6 +76,15 protected: | |||||
72 | m_ValuesData{valuesData}, |
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76 | m_ValuesData{valuesData}, | |
73 | m_ValuesUnit{valuesUnit} |
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77 | m_ValuesUnit{valuesUnit} | |
74 | { |
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78 | { | |
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79 | if (m_XAxisData->size() != m_ValuesData->size()) { | |||
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80 | clear(); | |||
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81 | } | |||
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82 | ||||
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83 | // Sorts data if it's not the case | |||
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84 | const auto &xAxisCData = m_XAxisData->cdata(); | |||
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85 | if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) { | |||
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86 | sort(); | |||
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87 | } | |||
75 | } |
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88 | } | |
76 |
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89 | |||
77 | /// Copy ctor |
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90 | /// Copy ctor | |
@@ -81,6 +94,8 protected: | |||||
81 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, |
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94 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, | |
82 | m_ValuesUnit{other.m_ValuesUnit} |
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95 | m_ValuesUnit{other.m_ValuesUnit} | |
83 | { |
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96 | { | |
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97 | // Since a series is ordered from its construction and is always ordered, it is not | |||
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98 | // necessary to call the sort method here ('other' is sorted) | |||
84 | } |
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99 | } | |
85 |
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100 | |||
86 | /// Assignment operator |
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101 | /// Assignment operator | |
@@ -96,6 +111,14 protected: | |||||
96 | } |
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111 | } | |
97 |
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112 | |||
98 | private: |
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113 | private: | |
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114 | /** | |||
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115 | * Sorts data series on its x-axis data | |||
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116 | */ | |||
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117 | void sort() noexcept | |||
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118 | { | |||
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119 | /// @todo ALX | |||
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120 | } | |||
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121 | ||||
99 | std::shared_ptr<ArrayData<1> > m_XAxisData; |
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122 | std::shared_ptr<ArrayData<1> > m_XAxisData; | |
100 | Unit m_XAxisUnit; |
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123 | Unit m_XAxisUnit; | |
101 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
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124 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
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