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1 | 1 | #ifndef SCIQLOP_DATASERIES_H |
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2 | 2 | #define SCIQLOP_DATASERIES_H |
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3 | 3 | |
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4 | 4 | #include "CoreGlobal.h" |
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5 | 5 | |
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6 | 6 | #include <Common/SortUtils.h> |
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7 | 7 | |
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8 | 8 | #include <Data/ArrayData.h> |
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9 | 9 | #include <Data/IDataSeries.h> |
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10 | 10 | |
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11 | 11 | #include <QLoggingCategory> |
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12 | 12 | #include <QReadLocker> |
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13 | 13 | #include <QReadWriteLock> |
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14 | 14 | #include <memory> |
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15 | 15 | |
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16 | 16 | // We don't use the Qt macro since the log is used in the header file, which causes multiple log |
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17 | 17 | // definitions with inheritance. Inline method is used instead |
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18 | 18 | inline const QLoggingCategory &LOG_DataSeries() |
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19 | 19 | { |
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20 | 20 | static const QLoggingCategory category{"DataSeries"}; |
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21 | 21 | return category; |
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22 | 22 | } |
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23 | 23 | |
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24 | 24 | template <int Dim> |
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25 | 25 | class DataSeries; |
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26 | 26 | |
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27 | 27 | namespace dataseries_detail { |
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28 | 28 | |
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29 | 29 | template <int Dim> |
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30 | 30 | class IteratorValue : public DataSeriesIteratorValue::Impl { |
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31 | 31 | public: |
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32 | 32 | explicit IteratorValue(const DataSeries<Dim> &dataSeries, bool begin) |
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33 | 33 | : m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()), |
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34 | 34 | m_ValuesIt(begin ? dataSeries.valuesData()->cbegin() |
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35 | 35 | : dataSeries.valuesData()->cend()) |
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36 | 36 | { |
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37 | 37 | } |
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38 | 38 | IteratorValue(const IteratorValue &other) = default; |
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39 | 39 | |
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40 | 40 | std::unique_ptr<DataSeriesIteratorValue::Impl> clone() const override |
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41 | 41 | { |
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42 | 42 | return std::make_unique<IteratorValue<Dim> >(*this); |
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43 | 43 | } |
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44 | 44 | |
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45 | 45 | bool equals(const DataSeriesIteratorValue::Impl &other) const override try { |
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46 | 46 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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47 | 47 | return std::tie(m_XIt, m_ValuesIt) == std::tie(otherImpl.m_XIt, otherImpl.m_ValuesIt); |
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48 | 48 | } |
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49 | 49 | catch (const std::bad_cast &) { |
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50 | 50 | return false; |
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51 | 51 | } |
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52 | 52 | |
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53 | 53 | void next() override |
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54 | 54 | { |
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55 | 55 | ++m_XIt; |
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56 | 56 | ++m_ValuesIt; |
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57 | 57 | } |
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58 | 58 | |
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59 | 59 | void prev() override |
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60 | 60 | { |
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61 | 61 | --m_XIt; |
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62 | 62 | --m_ValuesIt; |
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63 | 63 | } |
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64 | 64 | |
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65 | 65 | double x() const override { return m_XIt->at(0); } |
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66 | 66 | double value() const override { return m_ValuesIt->at(0); } |
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67 | 67 | double value(int componentIndex) const override { return m_ValuesIt->at(componentIndex); } |
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68 | 68 | |
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69 | 69 | private: |
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70 | 70 | ArrayData<1>::Iterator m_XIt; |
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71 | 71 | typename ArrayData<Dim>::Iterator m_ValuesIt; |
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72 | 72 | }; |
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73 | 73 | } // namespace dataseries_detail |
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74 | 74 | |
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75 | 75 | /** |
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76 | 76 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. |
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77 | 77 | * |
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78 | 78 | * It proposes to set a dimension for the values ββdata. |
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79 | 79 | * |
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80 | 80 | * A DataSeries is always sorted on its x-axis data. |
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81 | 81 | * |
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82 | 82 | * @tparam Dim The dimension of the values data |
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83 | 83 | * |
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84 | 84 | */ |
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85 | 85 | template <int Dim> |
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86 | 86 | class SCIQLOP_CORE_EXPORT DataSeries : public IDataSeries { |
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87 | 87 | public: |
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88 | 88 | /// @sa IDataSeries::xAxisData() |
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89 | 89 | std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; } |
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90 | 90 | const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; } |
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91 | 91 | |
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92 | 92 | /// @sa IDataSeries::xAxisUnit() |
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93 | 93 | Unit xAxisUnit() const override { return m_XAxisUnit; } |
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94 | 94 | |
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95 | 95 | /// @return the values dataset |
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96 | 96 | std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; } |
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97 | 97 | const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; } |
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98 | 98 | |
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99 | 99 | /// @sa IDataSeries::valuesUnit() |
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100 | 100 | Unit valuesUnit() const override { return m_ValuesUnit; } |
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101 | 101 | |
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102 | 102 | |
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103 | 103 | SqpRange range() const override |
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104 | 104 | { |
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105 | 105 | if (!m_XAxisData->cdata().isEmpty()) { |
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106 | 106 | return SqpRange{m_XAxisData->cdata().first(), m_XAxisData->cdata().last()}; |
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107 | 107 | } |
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108 | 108 | |
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109 | 109 | return SqpRange{}; |
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110 | 110 | } |
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111 | 111 | |
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112 | 112 | void clear() |
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113 | 113 | { |
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114 | 114 | m_XAxisData->clear(); |
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115 | 115 | m_ValuesData->clear(); |
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116 | 116 | } |
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117 | 117 | |
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118 | 118 | /// Merges into the data series an other data series |
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119 | 119 | /// @remarks the data series to merge with is cleared after the operation |
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120 | 120 | void merge(IDataSeries *dataSeries) override |
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121 | 121 | { |
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122 | 122 | dataSeries->lockWrite(); |
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123 | 123 | lockWrite(); |
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124 | 124 | |
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125 | 125 | if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) { |
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126 | 126 | const auto &otherXAxisData = other->xAxisData()->cdata(); |
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127 | 127 | const auto &xAxisData = m_XAxisData->cdata(); |
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128 | 128 | |
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129 | 129 | // As data series are sorted, we can improve performances of merge, by call the sort |
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130 | 130 | // method only if the two data series overlap. |
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131 | 131 | if (!otherXAxisData.empty()) { |
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132 | 132 | auto firstValue = otherXAxisData.front(); |
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133 | 133 | auto lastValue = otherXAxisData.back(); |
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134 | 134 | |
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135 | 135 | auto xAxisDataBegin = xAxisData.cbegin(); |
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136 | 136 | auto xAxisDataEnd = xAxisData.cend(); |
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137 | 137 | |
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138 | 138 | bool prepend; |
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139 | 139 | bool sortNeeded; |
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140 | 140 | |
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141 | 141 | if (std::lower_bound(xAxisDataBegin, xAxisDataEnd, firstValue) == xAxisDataEnd) { |
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142 | 142 | // Other data series if after data series |
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143 | 143 | prepend = false; |
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144 | 144 | sortNeeded = false; |
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145 | 145 | } |
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146 | 146 | else if (std::upper_bound(xAxisDataBegin, xAxisDataEnd, lastValue) |
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147 | 147 | == xAxisDataBegin) { |
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148 | 148 | // Other data series if before data series |
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149 | 149 | prepend = true; |
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150 | 150 | sortNeeded = false; |
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151 | 151 | } |
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152 | 152 | else { |
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153 | 153 | // The two data series overlap |
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154 | 154 | prepend = false; |
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155 | 155 | sortNeeded = true; |
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156 | 156 | } |
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157 | 157 | |
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158 | 158 | // Makes the merge |
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159 | 159 | m_XAxisData->add(*other->xAxisData(), prepend); |
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160 | 160 | m_ValuesData->add(*other->valuesData(), prepend); |
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161 | 161 | |
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162 | 162 | if (sortNeeded) { |
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163 | 163 | sort(); |
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164 | 164 | } |
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165 | 165 | } |
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166 | 166 | |
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167 | 167 | // Clears the other data series |
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168 | 168 | other->clear(); |
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169 | 169 | } |
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170 | 170 | else { |
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171 | 171 | qCWarning(LOG_DataSeries()) |
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172 | 172 | << QObject::tr("Detection of a type of IDataSeries we cannot merge with !"); |
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173 | 173 | } |
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174 | 174 | unlock(); |
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175 | 175 | dataSeries->unlock(); |
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176 | 176 | } |
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177 | 177 | |
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178 | 178 | // ///////// // |
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179 | 179 | // Iterators // |
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180 | 180 | // ///////// // |
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181 | 181 | |
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182 | 182 | DataSeriesIterator cbegin() const override |
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183 | 183 | { |
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184 | 184 | return DataSeriesIterator{DataSeriesIteratorValue{ |
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185 | 185 | std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, true)}}; |
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186 | 186 | } |
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187 | 187 | |
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188 | 188 | DataSeriesIterator cend() const override |
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189 | 189 | { |
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190 | 190 | return DataSeriesIterator{DataSeriesIteratorValue{ |
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191 | 191 | std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, false)}}; |
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192 | 192 | } |
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193 | 193 | |
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194 | 194 | /// @sa IDataSeries::minData() |
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195 | 195 | DataSeriesIterator minData(double minXAxisData) const override |
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196 | 196 | { |
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197 | 197 | return std::lower_bound( |
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198 | 198 | cbegin(), cend(), minXAxisData, |
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199 | 199 | [](const auto &itValue, const auto &value) { return itValue.x() < value; }); |
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200 | 200 | } |
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201 | 201 | |
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202 | /// @sa IDataSeries::maxData() | |
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203 | DataSeriesIterator maxData(double maxXAxisData) const override | |
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204 | { | |
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205 | // Gets the first element that greater than max value | |
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206 | auto it = std::upper_bound( | |
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207 | cbegin(), cend(), maxXAxisData, | |
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208 | [](const auto &value, const auto &itValue) { return value < itValue.x(); }); | |
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209 | ||
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210 | return it == cbegin() ? cend() : --it; | |
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211 | } | |
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212 | ||
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202 | 213 | std::pair<DataSeriesIterator, DataSeriesIterator> subData(double min, double max) const override |
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203 | 214 | { |
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204 | 215 | if (min > max) { |
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205 | 216 | std::swap(min, max); |
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206 | 217 | } |
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207 | 218 | |
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208 | 219 | auto begin = cbegin(); |
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209 | 220 | auto end = cend(); |
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210 | 221 | |
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211 | 222 | auto lowerIt |
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212 | 223 | = std::lower_bound(begin, end, min, [](const auto &itValue, const auto &value) { |
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213 | 224 | return itValue.x() < value; |
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214 | 225 | }); |
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215 | 226 | auto upperIt |
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216 | 227 | = std::upper_bound(begin, end, max, [](const auto &value, const auto &itValue) { |
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217 | 228 | return value < itValue.x(); |
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218 | 229 | }); |
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219 | 230 | |
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220 | 231 | return std::make_pair(lowerIt, upperIt); |
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221 | 232 | } |
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222 | 233 | |
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223 | 234 | // /////// // |
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224 | 235 | // Mutexes // |
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225 | 236 | // /////// // |
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226 | 237 | |
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227 | 238 | virtual void lockRead() { m_Lock.lockForRead(); } |
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228 | 239 | virtual void lockWrite() { m_Lock.lockForWrite(); } |
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229 | 240 | virtual void unlock() { m_Lock.unlock(); } |
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230 | 241 | |
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231 | 242 | protected: |
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232 | 243 | /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a |
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233 | 244 | /// DataSeries with no values will be created. |
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234 | 245 | /// @remarks data series is automatically sorted on its x-axis data |
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235 | 246 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, |
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236 | 247 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) |
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237 | 248 | : m_XAxisData{xAxisData}, |
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238 | 249 | m_XAxisUnit{xAxisUnit}, |
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239 | 250 | m_ValuesData{valuesData}, |
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240 | 251 | m_ValuesUnit{valuesUnit} |
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241 | 252 | { |
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242 | 253 | if (m_XAxisData->size() != m_ValuesData->size()) { |
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243 | 254 | clear(); |
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244 | 255 | } |
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245 | 256 | |
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246 | 257 | // Sorts data if it's not the case |
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247 | 258 | const auto &xAxisCData = m_XAxisData->cdata(); |
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248 | 259 | if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) { |
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249 | 260 | sort(); |
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250 | 261 | } |
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251 | 262 | } |
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252 | 263 | |
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253 | 264 | /// Copy ctor |
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254 | 265 | explicit DataSeries(const DataSeries<Dim> &other) |
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255 | 266 | : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)}, |
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256 | 267 | m_XAxisUnit{other.m_XAxisUnit}, |
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257 | 268 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, |
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258 | 269 | m_ValuesUnit{other.m_ValuesUnit} |
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259 | 270 | { |
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260 | 271 | // Since a series is ordered from its construction and is always ordered, it is not |
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261 | 272 | // necessary to call the sort method here ('other' is sorted) |
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262 | 273 | } |
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263 | 274 | |
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264 | 275 | /// Assignment operator |
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265 | 276 | template <int D> |
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266 | 277 | DataSeries &operator=(DataSeries<D> other) |
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267 | 278 | { |
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268 | 279 | std::swap(m_XAxisData, other.m_XAxisData); |
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269 | 280 | std::swap(m_XAxisUnit, other.m_XAxisUnit); |
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270 | 281 | std::swap(m_ValuesData, other.m_ValuesData); |
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271 | 282 | std::swap(m_ValuesUnit, other.m_ValuesUnit); |
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272 | 283 | |
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273 | 284 | return *this; |
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274 | 285 | } |
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275 | 286 | |
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276 | 287 | private: |
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277 | 288 | /** |
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278 | 289 | * Sorts data series on its x-axis data |
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279 | 290 | */ |
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280 | 291 | void sort() noexcept |
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281 | 292 | { |
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282 | 293 | auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>()); |
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283 | 294 | m_XAxisData = m_XAxisData->sort(permutation); |
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284 | 295 | m_ValuesData = m_ValuesData->sort(permutation); |
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285 | 296 | } |
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286 | 297 | |
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287 | 298 | std::shared_ptr<ArrayData<1> > m_XAxisData; |
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288 | 299 | Unit m_XAxisUnit; |
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289 | 300 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
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290 | 301 | Unit m_ValuesUnit; |
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291 | 302 | |
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292 | 303 | QReadWriteLock m_Lock; |
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293 | 304 | }; |
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294 | 305 | |
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295 | 306 | #endif // SCIQLOP_DATASERIES_H |
@@ -1,92 +1,96 | |||
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1 | 1 | #ifndef SCIQLOP_IDATASERIES_H |
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2 | 2 | #define SCIQLOP_IDATASERIES_H |
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3 | 3 | |
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4 | 4 | #include <Common/MetaTypes.h> |
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5 | 5 | #include <Data/DataSeriesIterator.h> |
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6 | 6 | #include <Data/SqpRange.h> |
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7 | 7 | |
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8 | 8 | #include <memory> |
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9 | 9 | |
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10 | 10 | #include <QString> |
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11 | 11 | |
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12 | 12 | template <int Dim> |
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13 | 13 | class ArrayData; |
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14 | 14 | |
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15 | 15 | struct Unit { |
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16 | 16 | explicit Unit(const QString &name = {}, bool timeUnit = false) |
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17 | 17 | : m_Name{name}, m_TimeUnit{timeUnit} |
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18 | 18 | { |
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19 | 19 | } |
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20 | 20 | |
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21 | 21 | inline bool operator==(const Unit &other) const |
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22 | 22 | { |
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23 | 23 | return std::tie(m_Name, m_TimeUnit) == std::tie(other.m_Name, other.m_TimeUnit); |
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24 | 24 | } |
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25 | 25 | inline bool operator!=(const Unit &other) const { return !(*this == other); } |
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26 | 26 | |
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27 | 27 | QString m_Name; ///< Unit name |
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28 | 28 | bool m_TimeUnit; ///< The unit is a unit of time (UTC) |
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29 | 29 | }; |
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30 | 30 | |
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31 | 31 | /** |
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32 | 32 | * @brief The IDataSeries aims to declare a data series. |
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33 | 33 | * |
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34 | 34 | * A data series is an entity that contains at least : |
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35 | 35 | * - one dataset representing the x-axis |
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36 | 36 | * - one dataset representing the values |
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37 | 37 | * |
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38 | 38 | * Each dataset is represented by an ArrayData, and is associated with a unit. |
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39 | 39 | * |
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40 | 40 | * An ArrayData can be unidimensional or two-dimensional, depending on the implementation of the |
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41 | 41 | * IDataSeries. The x-axis dataset is always unidimensional. |
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42 | 42 | * |
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43 | 43 | * @sa ArrayData |
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44 | 44 | */ |
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45 | 45 | class IDataSeries { |
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46 | 46 | public: |
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47 | 47 | virtual ~IDataSeries() noexcept = default; |
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48 | 48 | |
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49 | 49 | /// Returns the x-axis dataset |
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50 | 50 | virtual std::shared_ptr<ArrayData<1> > xAxisData() = 0; |
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51 | 51 | |
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52 | 52 | /// Returns the x-axis dataset (as const) |
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53 | 53 | virtual const std::shared_ptr<ArrayData<1> > xAxisData() const = 0; |
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54 | 54 | |
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55 | 55 | virtual Unit xAxisUnit() const = 0; |
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56 | 56 | |
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57 | 57 | virtual Unit valuesUnit() const = 0; |
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58 | 58 | |
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59 | 59 | virtual void merge(IDataSeries *dataSeries) = 0; |
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60 | 60 | /// @todo Review the name and signature of this method |
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61 | 61 | virtual std::shared_ptr<IDataSeries> subDataSeries(const SqpRange &range) = 0; |
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62 | 62 | |
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63 | 63 | virtual std::unique_ptr<IDataSeries> clone() const = 0; |
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64 | 64 | virtual SqpRange range() const = 0; |
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65 | 65 | |
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66 | 66 | // ///////// // |
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67 | 67 | // Iterators // |
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68 | 68 | // ///////// // |
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69 | 69 | |
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70 | 70 | virtual DataSeriesIterator cbegin() const = 0; |
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71 | 71 | virtual DataSeriesIterator cend() const = 0; |
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72 | 72 | |
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73 | 73 | /// @return the iterator to the first entry of the data series whose x-axis data is greater than |
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74 | 74 | /// or equal to the value passed in parameter, or the end iterator if there is no matching value |
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75 | 75 | virtual DataSeriesIterator minData(double minXAxisData) const = 0; |
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76 | 76 | |
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77 | /// @return the iterator to the last entry of the data series whose x-axis data is less than or | |
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78 | /// equal to the value passed in parameter, or the end iterator if there is no matching value | |
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79 | virtual DataSeriesIterator maxData(double maxXAxisData) const = 0; | |
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80 | ||
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77 | 81 | virtual std::pair<DataSeriesIterator, DataSeriesIterator> subData(double min, |
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78 | 82 | double max) const = 0; |
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79 | 83 | |
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80 | 84 | // /////// // |
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81 | 85 | // Mutexes // |
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82 | 86 | // /////// // |
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83 | 87 | |
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84 | 88 | virtual void lockRead() = 0; |
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85 | 89 | virtual void lockWrite() = 0; |
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86 | 90 | virtual void unlock() = 0; |
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87 | 91 | }; |
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88 | 92 | |
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89 | 93 | // Required for using shared_ptr in signals/slots |
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90 | 94 | SCIQLOP_REGISTER_META_TYPE(IDATASERIES_PTR_REGISTRY, std::shared_ptr<IDataSeries>) |
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91 | 95 | |
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92 | 96 | #endif // SCIQLOP_IDATASERIES_H |
@@ -1,291 +1,354 | |||
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1 | 1 | #include "Data/DataSeries.h" |
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2 | 2 | #include "Data/ScalarSeries.h" |
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3 | 3 | |
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4 | 4 | #include <QObject> |
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5 | 5 | #include <QtTest> |
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6 | 6 | |
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7 | 7 | Q_DECLARE_METATYPE(std::shared_ptr<ScalarSeries>) |
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8 | 8 | |
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9 | 9 | class TestDataSeries : public QObject { |
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10 | 10 | Q_OBJECT |
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11 | 11 | private slots: |
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12 | 12 | /// Input test data |
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13 | 13 | /// @sa testCtor() |
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14 | 14 | void testCtor_data(); |
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15 | 15 | |
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16 | 16 | /// Tests construction of a data series |
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17 | 17 | void testCtor(); |
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18 | 18 | |
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19 | 19 | /// Input test data |
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20 | 20 | /// @sa testMerge() |
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21 | 21 | void testMerge_data(); |
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22 | 22 | |
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23 | 23 | /// Tests merge of two data series |
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24 | 24 | void testMerge(); |
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25 | 25 | |
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26 | 26 | /// Input test data |
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27 | 27 | /// @sa testMinData() |
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28 | 28 | void testMinData_data(); |
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29 | 29 | |
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30 | 30 | /// Tests get min data of a data series |
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31 | 31 | void testMinData(); |
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32 | 32 | |
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33 | /// Input test data | |
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34 | /// @sa testMaxData() | |
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35 | void testMaxData_data(); | |
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36 | ||
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37 | /// Tests get max data of a data series | |
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38 | void testMaxData(); | |
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39 | ||
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40 | /// Input test data | |
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33 | 41 | /// @sa testSubdata() |
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34 | 42 | void testSubdata_data(); |
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35 | 43 | |
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36 | 44 | /// Tests get subdata of two data series |
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37 | 45 | void testSubdata(); |
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38 | 46 | }; |
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39 | 47 | |
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40 | 48 | void TestDataSeries::testCtor_data() |
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41 | 49 | { |
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42 | 50 | // ////////////// // |
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43 | 51 | // Test structure // |
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44 | 52 | // ////////////// // |
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45 | 53 | |
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46 | 54 | // x-axis data |
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47 | 55 | QTest::addColumn<QVector<double> >("xAxisData"); |
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48 | 56 | // values data |
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49 | 57 | QTest::addColumn<QVector<double> >("valuesData"); |
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50 | 58 | |
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51 | 59 | // expected x-axis data |
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52 | 60 | QTest::addColumn<QVector<double> >("expectedXAxisData"); |
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53 | 61 | // expected values data |
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54 | 62 | QTest::addColumn<QVector<double> >("expectedValuesData"); |
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55 | 63 | |
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56 | 64 | // ////////// // |
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57 | 65 | // Test cases // |
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58 | 66 | // ////////// // |
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59 | 67 | |
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60 | 68 | QTest::newRow("invalidData (different sizes of vectors)") |
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61 | 69 | << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 200., 300.} |
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62 | 70 | << QVector<double>{} << QVector<double>{}; |
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63 | 71 | |
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64 | 72 | QTest::newRow("sortedData") << QVector<double>{1., 2., 3., 4., 5.} |
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65 | 73 | << QVector<double>{100., 200., 300., 400., 500.} |
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66 | 74 | << QVector<double>{1., 2., 3., 4., 5.} |
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67 | 75 | << QVector<double>{100., 200., 300., 400., 500.}; |
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68 | 76 | |
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69 | 77 | QTest::newRow("unsortedData") << QVector<double>{5., 4., 3., 2., 1.} |
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70 | 78 | << QVector<double>{100., 200., 300., 400., 500.} |
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71 | 79 | << QVector<double>{1., 2., 3., 4., 5.} |
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72 | 80 | << QVector<double>{500., 400., 300., 200., 100.}; |
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73 | 81 | |
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74 | 82 | QTest::newRow("unsortedData2") |
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75 | 83 | << QVector<double>{1., 4., 3., 5., 2.} << QVector<double>{100., 200., 300., 400., 500.} |
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76 | 84 | << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 500., 300., 200., 400.}; |
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77 | 85 | } |
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78 | 86 | |
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79 | 87 | void TestDataSeries::testCtor() |
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80 | 88 | { |
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81 | 89 | // Creates series |
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82 | 90 | QFETCH(QVector<double>, xAxisData); |
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83 | 91 | QFETCH(QVector<double>, valuesData); |
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84 | 92 | |
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85 | 93 | auto series = std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), |
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86 | 94 | Unit{}, Unit{}); |
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87 | 95 | |
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88 | 96 | // Validates results : we check that the data series is sorted on its x-axis data |
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89 | 97 | QFETCH(QVector<double>, expectedXAxisData); |
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90 | 98 | QFETCH(QVector<double>, expectedValuesData); |
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91 | 99 | |
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92 | 100 | auto seriesXAxisData = series->xAxisData()->data(); |
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93 | 101 | auto seriesValuesData = series->valuesData()->data(); |
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94 | 102 | |
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95 | 103 | QVERIFY( |
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96 | 104 | std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin())); |
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97 | 105 | QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(), |
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98 | 106 | seriesValuesData.cbegin())); |
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99 | 107 | } |
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100 | 108 | |
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101 | 109 | namespace { |
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102 | 110 | |
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103 | 111 | std::shared_ptr<ScalarSeries> createSeries(QVector<double> xAxisData, QVector<double> valuesData) |
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104 | 112 | { |
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105 | 113 | return std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), Unit{}, |
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106 | 114 | Unit{}); |
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107 | 115 | } |
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108 | 116 | |
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109 | 117 | } // namespace |
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110 | 118 | |
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111 | 119 | void TestDataSeries::testMerge_data() |
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112 | 120 | { |
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113 | 121 | // ////////////// // |
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114 | 122 | // Test structure // |
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115 | 123 | // ////////////// // |
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116 | 124 | |
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117 | 125 | // Data series to merge |
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118 | 126 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); |
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119 | 127 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries2"); |
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120 | 128 | |
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121 | 129 | // Expected values in the first data series after merge |
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122 | 130 | QTest::addColumn<QVector<double> >("expectedXAxisData"); |
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123 | 131 | QTest::addColumn<QVector<double> >("expectedValuesData"); |
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124 | 132 | |
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125 | 133 | // ////////// // |
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126 | 134 | // Test cases // |
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127 | 135 | // ////////// // |
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128 | 136 | |
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129 | 137 | QTest::newRow("sortedMerge") |
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130 | 138 | << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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131 | 139 | << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.}) |
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132 | 140 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} |
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133 | 141 | << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.}; |
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134 | 142 | |
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135 | 143 | QTest::newRow("unsortedMerge") |
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136 | 144 | << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.}) |
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137 | 145 | << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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138 | 146 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} |
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139 | 147 | << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.}; |
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140 | 148 | |
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141 | 149 | QTest::newRow("unsortedMerge2") |
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142 | 150 | << createSeries({1., 2., 8., 9., 10}, {100., 200., 300., 400., 500.}) |
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143 | 151 | << createSeries({3., 4., 5., 6., 7.}, {600., 700., 800., 900., 1000.}) |
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144 | 152 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} |
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145 | 153 | << QVector<double>{100., 200., 600., 700., 800., 900., 1000., 300., 400., 500.}; |
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146 | 154 | |
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147 | 155 | QTest::newRow("unsortedMerge3") |
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148 | 156 | << createSeries({3., 5., 8., 7., 2}, {100., 200., 300., 400., 500.}) |
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149 | 157 | << createSeries({6., 4., 9., 10., 1.}, {600., 700., 800., 900., 1000.}) |
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150 | 158 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} |
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151 | 159 | << QVector<double>{1000., 500., 100., 700., 200., 600., 400., 300., 800., 900.}; |
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152 | 160 | } |
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153 | 161 | |
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154 | 162 | void TestDataSeries::testMerge() |
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155 | 163 | { |
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156 | 164 | // Merges series |
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157 | 165 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); |
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158 | 166 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries2); |
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159 | 167 | |
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160 | 168 | dataSeries->merge(dataSeries2.get()); |
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161 | 169 | |
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162 | 170 | // Validates results : we check that the merge is valid and the data series is sorted on its |
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163 | 171 | // x-axis data |
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164 | 172 | QFETCH(QVector<double>, expectedXAxisData); |
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165 | 173 | QFETCH(QVector<double>, expectedValuesData); |
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166 | 174 | |
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167 | 175 | auto seriesXAxisData = dataSeries->xAxisData()->data(); |
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168 | 176 | auto seriesValuesData = dataSeries->valuesData()->data(); |
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169 | 177 | |
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170 | 178 | QVERIFY( |
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171 | 179 | std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin())); |
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172 | 180 | QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(), |
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173 | 181 | seriesValuesData.cbegin())); |
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174 | 182 | } |
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175 | 183 | |
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176 | 184 | void TestDataSeries::testMinData_data() |
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177 | 185 | { |
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178 | 186 | // ////////////// // |
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179 | 187 | // Test structure // |
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180 | 188 | // ////////////// // |
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181 | 189 | |
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182 | 190 | // Data series to get min data |
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183 | 191 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); |
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184 | 192 | |
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185 | 193 | // Min data |
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186 | 194 | QTest::addColumn<double>("min"); |
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187 | 195 | |
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188 | 196 | // Expected results |
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189 | 197 | QTest::addColumn<bool>( |
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190 | 198 | "expectedOK"); // if true, expects to have a result (i.e. the iterator != end iterator) |
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191 | 199 | QTest::addColumn<double>( |
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192 | 200 | "expectedMin"); // Expected value when method doesn't return end iterator |
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193 | 201 | |
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194 | 202 | // ////////// // |
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195 | 203 | // Test cases // |
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196 | 204 | // ////////// // |
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197 | 205 | |
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198 | 206 | QTest::newRow("minData1") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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199 | 207 | << 0. << true << 1.; |
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200 | 208 | QTest::newRow("minData2") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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201 | 209 | << 1. << true << 1.; |
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202 | 210 | QTest::newRow("minData3") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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203 | 211 | << 1.1 << true << 2.; |
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204 | 212 | QTest::newRow("minData4") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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205 | 213 | << 5. << true << 5.; |
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206 | 214 | QTest::newRow("minData5") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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207 | 215 | << 5.1 << false << std::numeric_limits<double>::quiet_NaN(); |
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208 | 216 | QTest::newRow("minData6") << createSeries({}, {}) << 1.1 << false |
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209 | 217 | << std::numeric_limits<double>::quiet_NaN(); |
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210 | 218 | } |
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211 | 219 | |
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212 | 220 | void TestDataSeries::testMinData() |
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213 | 221 | { |
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214 | 222 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); |
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215 | 223 | QFETCH(double, min); |
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216 | 224 | |
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217 | 225 | QFETCH(bool, expectedOK); |
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218 | 226 | QFETCH(double, expectedMin); |
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219 | 227 | |
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220 | 228 | auto it = dataSeries->minData(min); |
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221 | 229 | |
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222 | 230 | QCOMPARE(expectedOK, it != dataSeries->cend()); |
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223 | 231 | |
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224 | 232 | // If the method doesn't return a end iterator, checks with expected value |
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225 | 233 | if (expectedOK) { |
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226 | 234 | QCOMPARE(expectedMin, it->x()); |
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227 | 235 | } |
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228 | 236 | } |
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237 | ||
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238 | void TestDataSeries::testMaxData_data() | |
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239 | { | |
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240 | // ////////////// // | |
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241 | // Test structure // | |
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242 | // ////////////// // | |
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243 | ||
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244 | // Data series to get max data | |
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245 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); | |
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246 | ||
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247 | // Max data | |
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248 | QTest::addColumn<double>("max"); | |
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249 | ||
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250 | // Expected results | |
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251 | QTest::addColumn<bool>( | |
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252 | "expectedOK"); // if true, expects to have a result (i.e. the iterator != end iterator) | |
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253 | QTest::addColumn<double>( | |
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254 | "expectedMax"); // Expected value when method doesn't return end iterator | |
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255 | ||
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256 | // ////////// // | |
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257 | // Test cases // | |
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258 | // ////////// // | |
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259 | ||
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260 | QTest::newRow("maxData1") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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261 | << 6. << true << 5.; | |
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262 | QTest::newRow("maxData2") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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263 | << 5. << true << 5.; | |
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264 | QTest::newRow("maxData3") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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265 | << 4.9 << true << 4.; | |
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266 | QTest::newRow("maxData4") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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267 | << 1.1 << true << 1.; | |
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268 | QTest::newRow("maxData5") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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269 | << 1. << true << 1.; | |
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270 | QTest::newRow("maxData6") << createSeries({}, {}) << 1.1 << false | |
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271 | << std::numeric_limits<double>::quiet_NaN(); | |
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272 | } | |
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273 | ||
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274 | void TestDataSeries::testMaxData() | |
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275 | { | |
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276 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); | |
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277 | QFETCH(double, max); | |
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278 | ||
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279 | QFETCH(bool, expectedOK); | |
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280 | QFETCH(double, expectedMax); | |
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281 | ||
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282 | auto it = dataSeries->maxData(max); | |
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283 | ||
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284 | QCOMPARE(expectedOK, it != dataSeries->cend()); | |
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285 | ||
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286 | // If the method doesn't return a end iterator, checks with expected value | |
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287 | if (expectedOK) { | |
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288 | QCOMPARE(expectedMax, it->x()); | |
|
289 | } | |
|
290 | } | |
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291 | ||
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229 | 292 | void TestDataSeries::testSubdata_data() |
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230 | 293 | { |
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231 | 294 | // ////////////// // |
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232 | 295 | // Test structure // |
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233 | 296 | // ////////////// // |
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234 | 297 | |
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235 | 298 | // Data series to get subdata |
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236 | 299 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); |
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237 | 300 | |
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238 | 301 | // Min/max values |
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239 | 302 | QTest::addColumn<double>("min"); |
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240 | 303 | QTest::addColumn<double>("max"); |
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241 | 304 | |
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242 | 305 | // Expected values after subdata |
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243 | 306 | QTest::addColumn<QVector<double> >("expectedXAxisData"); |
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244 | 307 | QTest::addColumn<QVector<double> >("expectedValuesData"); |
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245 | 308 | |
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246 | 309 | // ////////// // |
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247 | 310 | // Test cases // |
|
248 | 311 | // ////////// // |
|
249 | 312 | |
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250 | 313 | QTest::newRow("subData1") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
|
251 | 314 | << -1. << 3.2 << QVector<double>{1., 2., 3.} |
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252 | 315 | << QVector<double>{100., 200., 300.}; |
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253 | 316 | QTest::newRow("subData2") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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254 | 317 | << 1. << 4. << QVector<double>{1., 2., 3., 4.} |
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255 | 318 | << QVector<double>{100., 200., 300., 400.}; |
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256 | 319 | QTest::newRow("subData3") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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257 | 320 | << 1. << 3.9 << QVector<double>{1., 2., 3.} |
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258 | 321 | << QVector<double>{100., 200., 300.}; |
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259 | 322 | QTest::newRow("subData4") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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260 | 323 | << 0. << 0.9 << QVector<double>{} << QVector<double>{}; |
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261 | 324 | QTest::newRow("subData5") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
|
262 | 325 | << 0. << 1. << QVector<double>{1.} << QVector<double>{100.}; |
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263 | 326 | QTest::newRow("subData6") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
|
264 | 327 | << 2.1 << 6. << QVector<double>{3., 4., 5.} |
|
265 | 328 | << QVector<double>{300., 400., 500.}; |
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266 | 329 | QTest::newRow("subData7") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
|
267 | 330 | << 6. << 9. << QVector<double>{} << QVector<double>{}; |
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268 | 331 | QTest::newRow("subData8") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) |
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269 | 332 | << 5. << 9. << QVector<double>{5.} << QVector<double>{500.}; |
|
270 | 333 | } |
|
271 | 334 | |
|
272 | 335 | void TestDataSeries::testSubdata() |
|
273 | 336 | { |
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274 | 337 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); |
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275 | 338 | QFETCH(double, min); |
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276 | 339 | QFETCH(double, max); |
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277 | 340 | |
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278 | 341 | QFETCH(QVector<double>, expectedXAxisData); |
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279 | 342 | QFETCH(QVector<double>, expectedValuesData); |
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280 | 343 | |
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281 | 344 | auto bounds = dataSeries->subData(min, max); |
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282 | 345 | QVERIFY(std::equal(bounds.first, bounds.second, expectedXAxisData.cbegin(), |
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283 | 346 | expectedXAxisData.cend(), |
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284 | 347 | [](const auto &it, const auto &expectedX) { return it.x() == expectedX; })); |
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285 | 348 | QVERIFY(std::equal( |
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286 | 349 | bounds.first, bounds.second, expectedValuesData.cbegin(), expectedValuesData.cend(), |
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287 | 350 | [](const auto &it, const auto &expectedVal) { return it.value() == expectedVal; })); |
|
288 | 351 | } |
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289 | 352 | |
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290 | 353 | QTEST_MAIN(TestDataSeries) |
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291 | 354 | #include "TestDataSeries.moc" |
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