@@ -1,271 +1,282 | |||
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1 | 1 | #ifndef SCIQLOP_ARRAYDATA_H |
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2 | 2 | #define SCIQLOP_ARRAYDATA_H |
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3 | 3 | |
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4 | 4 | #include "Data/ArrayDataIterator.h" |
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5 | 5 | #include <Common/SortUtils.h> |
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6 | 6 | |
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7 | 7 | #include <QReadLocker> |
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8 | 8 | #include <QReadWriteLock> |
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9 | 9 | #include <QVector> |
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10 | 10 | |
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11 | 11 | #include <memory> |
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12 | 12 | |
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13 | 13 | template <int Dim> |
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14 | 14 | class ArrayData; |
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15 | 15 | |
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16 | 16 | using DataContainer = QVector<double>; |
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17 | 17 | |
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18 | 18 | namespace arraydata_detail { |
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19 | 19 | |
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20 | 20 | /// Struct used to sort ArrayData |
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21 | 21 | template <int Dim> |
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22 | 22 | struct Sort { |
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23 | 23 | static std::shared_ptr<ArrayData<Dim> > sort(const DataContainer &data, int nbComponents, |
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24 | 24 | const std::vector<int> &sortPermutation) |
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25 | 25 | { |
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26 | 26 | return std::make_shared<ArrayData<Dim> >( |
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27 | 27 | SortUtils::sort(data, nbComponents, sortPermutation), nbComponents); |
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28 | 28 | } |
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29 | 29 | }; |
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30 | 30 | |
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31 | 31 | /// Specialization for uni-dimensional ArrayData |
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32 | 32 | template <> |
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33 | 33 | struct Sort<1> { |
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34 | 34 | static std::shared_ptr<ArrayData<1> > sort(const DataContainer &data, int nbComponents, |
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35 | 35 | const std::vector<int> &sortPermutation) |
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36 | 36 | { |
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37 | 37 | Q_UNUSED(nbComponents) |
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38 | 38 | return std::make_shared<ArrayData<1> >(SortUtils::sort(data, 1, sortPermutation)); |
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39 | 39 | } |
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40 | 40 | }; |
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41 | 41 | |
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42 | 42 | template <int Dim> |
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43 | 43 | class IteratorValue : public ArrayDataIteratorValue::Impl { |
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44 | 44 | public: |
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45 | 45 | explicit IteratorValue(const DataContainer &container, int nbComponents, bool begin) |
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46 | 46 | : m_It{begin ? container.cbegin() : container.cend()}, m_NbComponents{nbComponents} |
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47 | 47 | { |
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48 | 48 | } |
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49 | 49 | |
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50 | 50 | IteratorValue(const IteratorValue &other) = default; |
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51 | 51 | |
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52 | 52 | std::unique_ptr<ArrayDataIteratorValue::Impl> clone() const override |
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53 | 53 | { |
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54 | 54 | return std::make_unique<IteratorValue<Dim> >(*this); |
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55 | 55 | } |
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56 | 56 | |
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57 | 57 | bool equals(const ArrayDataIteratorValue::Impl &other) const override try { |
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58 | 58 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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59 | 59 | return std::tie(m_It, m_NbComponents) == std::tie(otherImpl.m_It, otherImpl.m_NbComponents); |
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60 | 60 | } |
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61 | 61 | catch (const std::bad_cast &) { |
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62 | 62 | return false; |
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63 | 63 | } |
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64 | 64 | |
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65 | 65 | void next() override { std::advance(m_It, m_NbComponents); } |
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66 | 66 | void prev() override { std::advance(m_It, -m_NbComponents); } |
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67 | 67 | |
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68 | 68 | double at(int componentIndex) const override { return *(m_It + componentIndex); } |
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69 | 69 | double first() const override { return *m_It; } |
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70 | 70 | double min() const override |
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71 | 71 | { |
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72 | 72 | auto values = this->values(); |
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73 | 73 | auto end = values.cend(); |
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74 | 74 | auto it = std::min_element(values.cbegin(), end, [](const auto &v1, const auto &v2) { |
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75 | 75 | return SortUtils::minCompareWithNaN(v1, v2); |
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76 | 76 | }); |
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77 | 77 | |
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78 | 78 | return it != end ? *it : std::numeric_limits<double>::quiet_NaN(); |
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79 | 79 | } |
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80 | 80 | double max() const override |
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81 | 81 | { |
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82 | 82 | auto values = this->values(); |
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83 | 83 | auto end = values.cend(); |
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84 | 84 | auto it = std::max_element(values.cbegin(), end, [](const auto &v1, const auto &v2) { |
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85 | 85 | return SortUtils::maxCompareWithNaN(v1, v2); |
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86 | 86 | }); |
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87 | 87 | return it != end ? *it : std::numeric_limits<double>::quiet_NaN(); |
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88 | 88 | } |
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89 | 89 | |
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90 | 90 | QVector<double> values() const override |
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91 | 91 | { |
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92 | 92 | auto result = QVector<double>{}; |
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93 | 93 | for (auto i = 0; i < m_NbComponents; ++i) { |
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94 | 94 | result.push_back(*(m_It + i)); |
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95 | 95 | } |
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96 | 96 | |
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97 | 97 | return result; |
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98 | 98 | } |
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99 | 99 | |
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100 | 100 | private: |
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101 | 101 | DataContainer::const_iterator m_It; |
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102 | 102 | int m_NbComponents; |
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103 | 103 | }; |
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104 | 104 | |
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105 | 105 | } // namespace arraydata_detail |
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106 | 106 | |
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107 | 107 | /** |
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108 | 108 | * @brief The ArrayData class represents a dataset for a data series. |
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109 | 109 | * |
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110 | 110 | * A dataset can be unidimensional or two-dimensional. This property is determined by the Dim |
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111 | 111 | * template-parameter. In a case of a two-dimensional dataset, each dataset component has the same |
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112 | 112 | * number of values |
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113 | 113 | * |
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114 | 114 | * @tparam Dim the dimension of the ArrayData (one or two) |
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115 | 115 | * @sa IDataSeries |
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116 | 116 | */ |
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117 | 117 | template <int Dim> |
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118 | 118 | class ArrayData { |
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119 | 119 | public: |
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120 | 120 | // ///// // |
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121 | 121 | // Ctors // |
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122 | 122 | // ///// // |
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123 | 123 | |
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124 | 124 | /** |
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125 | 125 | * Ctor for a unidimensional ArrayData |
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126 | 126 | * @param data the data the ArrayData will hold |
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127 | 127 | */ |
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128 | 128 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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129 | 129 | explicit ArrayData(DataContainer data) : m_Data{std::move(data)}, m_NbComponents{1} |
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130 | 130 | { |
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131 | 131 | } |
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132 | 132 | |
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133 | 133 | /** |
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134 | 134 | * Ctor for a two-dimensional ArrayData. The number of components (number of lines) must be |
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135 | 135 | * greater than 2 and must be a divisor of the total number of data in the vector |
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136 | 136 | * @param data the data the ArrayData will hold |
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137 | 137 | * @param nbComponents the number of components |
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138 | 138 | * @throws std::invalid_argument if the number of components is less than 2 or is not a divisor |
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139 | 139 | * of the size of the data |
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140 | 140 | */ |
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141 | 141 | template <int D = Dim, typename = std::enable_if_t<D == 2> > |
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142 | 142 | explicit ArrayData(DataContainer data, int nbComponents) |
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143 | 143 | : m_Data{std::move(data)}, m_NbComponents{nbComponents} |
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144 | 144 | { |
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145 | 145 | if (nbComponents < 2) { |
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146 | 146 | throw std::invalid_argument{ |
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147 | 147 | QString{"A multidimensional ArrayData must have at least 2 components (found: %1)"} |
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148 | 148 | .arg(nbComponents) |
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149 | 149 | .toStdString()}; |
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150 | 150 | } |
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151 | 151 | |
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152 | 152 | if (m_Data.size() % m_NbComponents != 0) { |
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153 | 153 | throw std::invalid_argument{QString{ |
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154 | 154 | "The number of components (%1) is inconsistent with the total number of data (%2)"} |
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155 | 155 | .arg(m_Data.size(), nbComponents) |
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156 | 156 | .toStdString()}; |
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157 | 157 | } |
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158 | 158 | } |
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159 | 159 | |
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160 | 160 | /// Copy ctor |
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161 | 161 | explicit ArrayData(const ArrayData &other) |
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162 | 162 | { |
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163 | 163 | QReadLocker otherLocker{&other.m_Lock}; |
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164 | 164 | m_Data = other.m_Data; |
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165 | 165 | m_NbComponents = other.m_NbComponents; |
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166 | 166 | } |
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167 | 167 | |
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168 | 168 | // /////////////// // |
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169 | 169 | // General methods // |
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170 | 170 | // /////////////// // |
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171 | 171 | |
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172 | 172 | /** |
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173 | 173 | * Merges into the array data an other array data. The two array datas must have the same number |
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174 | 174 | * of components so the merge can be done |
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175 | 175 | * @param other the array data to merge with |
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176 | 176 | * @param prepend if true, the other array data is inserted at the beginning, otherwise it is |
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177 | 177 | * inserted at the end |
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178 | 178 | */ |
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179 | 179 | void add(const ArrayData<Dim> &other, bool prepend = false) |
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180 | 180 | { |
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181 | 181 | QWriteLocker locker{&m_Lock}; |
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182 | 182 | QReadLocker otherLocker{&other.m_Lock}; |
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183 | 183 | |
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184 | 184 | if (m_NbComponents != other.componentCount()) { |
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185 | 185 | return; |
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186 | 186 | } |
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187 | 187 | |
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188 | 188 | if (prepend) { |
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189 | 189 | auto otherDataSize = other.m_Data.size(); |
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190 | 190 | m_Data.insert(m_Data.begin(), otherDataSize, 0.); |
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191 | 191 | for (auto i = 0; i < otherDataSize; ++i) { |
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192 | 192 | m_Data.replace(i, other.m_Data.at(i)); |
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193 | 193 | } |
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194 | 194 | } |
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195 | 195 | else { |
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196 | 196 | m_Data.append(other.m_Data); |
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197 | 197 | } |
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198 | 198 | } |
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199 | 199 | |
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200 | 200 | void clear() |
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201 | 201 | { |
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202 | 202 | QWriteLocker locker{&m_Lock}; |
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203 | 203 | m_Data.clear(); |
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204 | 204 | } |
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205 | 205 | |
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206 | 206 | int componentCount() const noexcept { return m_NbComponents; } |
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207 | 207 | |
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208 | 208 | /// @return the size (i.e. number of values) of a single component |
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209 | 209 | /// @remarks in a case of a two-dimensional ArrayData, each component has the same size |
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210 | 210 | int size() const |
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211 | 211 | { |
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212 | 212 | QReadLocker locker{&m_Lock}; |
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213 | 213 | return m_Data.size() / m_NbComponents; |
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214 | 214 | } |
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215 | 215 | |
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216 | 216 | std::shared_ptr<ArrayData<Dim> > sort(const std::vector<int> &sortPermutation) |
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217 | 217 | { |
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218 | 218 | QReadLocker locker{&m_Lock}; |
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219 | 219 | return arraydata_detail::Sort<Dim>::sort(m_Data, m_NbComponents, sortPermutation); |
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220 | 220 | } |
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221 | 221 | |
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222 | 222 | // ///////// // |
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223 | 223 | // Iterators // |
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224 | 224 | // ///////// // |
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225 | 225 | |
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226 | 226 | ArrayDataIterator cbegin() const |
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227 | 227 | { |
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228 | 228 | return ArrayDataIterator{ArrayDataIteratorValue{ |
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229 | 229 | std::make_unique<arraydata_detail::IteratorValue<Dim> >(m_Data, m_NbComponents, true)}}; |
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230 | 230 | } |
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231 | 231 | ArrayDataIterator cend() const |
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232 | 232 | { |
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233 | 233 | return ArrayDataIterator{ |
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234 | 234 | ArrayDataIteratorValue{std::make_unique<arraydata_detail::IteratorValue<Dim> >( |
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235 | 235 | m_Data, m_NbComponents, false)}}; |
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236 | 236 | } |
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237 | 237 | |
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238 | /// Inserts at the end of the array data the values passed as a parameter. This | |
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239 | /// method is intended to be used in the context of generating a back insert iterator, or only | |
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240 | /// if it's ensured that the total size of the vector is consistent with the number of | |
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241 | /// components of the array data | |
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242 | /// @param values the values to insert | |
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243 | /// @sa http://en.cppreference.com/w/cpp/iterator/back_inserter | |
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244 | void push_back(const QVector<double> &values) | |
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245 | { | |
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246 | Q_ASSERT(values.size() % m_NbComponents == 0); | |
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247 | m_Data.append(values); | |
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248 | } | |
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238 | 249 | |
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239 | 250 | /** |
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240 | 251 | * @return the data at a specified index |
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241 | 252 | * @remarks index must be a valid position |
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242 | 253 | */ |
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243 | 254 | double at(int index) const noexcept |
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244 | 255 | { |
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245 | 256 | QReadLocker locker{&m_Lock}; |
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246 | 257 | return m_Data.at(index); |
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247 | 258 | } |
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248 | 259 | |
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249 | 260 | // ///////////// // |
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250 | 261 | // 1-dim methods // |
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251 | 262 | // ///////////// // |
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252 | 263 | |
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253 | 264 | /** |
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254 | 265 | * @return the data as a vector, as a const reference |
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255 | 266 | * @remarks this method is only available for a unidimensional ArrayData |
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256 | 267 | */ |
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257 | 268 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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258 | 269 | const QVector<double> &cdata() const noexcept |
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259 | 270 | { |
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260 | 271 | QReadLocker locker{&m_Lock}; |
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261 | 272 | return m_Data; |
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262 | 273 | } |
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263 | 274 | |
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264 | 275 | private: |
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265 | 276 | DataContainer m_Data; |
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266 | 277 | /// Number of components (lines). Is always 1 in a 1-dim ArrayData |
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267 | 278 | int m_NbComponents; |
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268 | 279 | mutable QReadWriteLock m_Lock; |
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269 | 280 | }; |
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270 | 281 | |
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271 | 282 | #endif // SCIQLOP_ARRAYDATA_H |
@@ -1,297 +1,317 | |||
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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/DataSeriesMergeHelper.h> |
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10 | 10 | #include <Data/IDataSeries.h> |
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11 | 11 | |
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12 | 12 | #include <QLoggingCategory> |
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13 | 13 | #include <QReadLocker> |
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14 | 14 | #include <QReadWriteLock> |
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15 | 15 | #include <memory> |
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16 | 16 | |
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17 | 17 | // We don't use the Qt macro since the log is used in the header file, which causes multiple log |
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18 | 18 | // definitions with inheritance. Inline method is used instead |
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19 | 19 | inline const QLoggingCategory &LOG_DataSeries() |
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20 | 20 | { |
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21 | 21 | static const QLoggingCategory category{"DataSeries"}; |
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22 | 22 | return category; |
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23 | 23 | } |
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24 | 24 | |
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25 | 25 | template <int Dim> |
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26 | 26 | class DataSeries; |
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27 | 27 | |
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28 | 28 | namespace dataseries_detail { |
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29 | 29 | |
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30 | 30 | template <int Dim> |
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31 | 31 | class IteratorValue : public DataSeriesIteratorValue::Impl { |
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32 | 32 | public: |
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33 | 33 | explicit IteratorValue(const DataSeries<Dim> &dataSeries, bool begin) |
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34 | 34 | : m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()), |
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35 | 35 | m_ValuesIt(begin ? dataSeries.valuesData()->cbegin() |
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36 | 36 | : dataSeries.valuesData()->cend()) |
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37 | 37 | { |
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38 | 38 | } |
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39 | 39 | IteratorValue(const IteratorValue &other) = default; |
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40 | 40 | |
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41 | 41 | std::unique_ptr<DataSeriesIteratorValue::Impl> clone() const override |
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42 | 42 | { |
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43 | 43 | return std::make_unique<IteratorValue<Dim> >(*this); |
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44 | 44 | } |
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45 | 45 | |
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46 | 46 | bool equals(const DataSeriesIteratorValue::Impl &other) const override try { |
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47 | 47 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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48 | 48 | return std::tie(m_XIt, m_ValuesIt) == std::tie(otherImpl.m_XIt, otherImpl.m_ValuesIt); |
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49 | 49 | } |
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50 | 50 | catch (const std::bad_cast &) { |
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51 | 51 | return false; |
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52 | 52 | } |
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53 | 53 | |
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54 | 54 | void next() override |
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55 | 55 | { |
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56 | 56 | ++m_XIt; |
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57 | 57 | ++m_ValuesIt; |
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58 | 58 | } |
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59 | 59 | |
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60 | 60 | void prev() override |
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61 | 61 | { |
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62 | 62 | --m_XIt; |
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63 | 63 | --m_ValuesIt; |
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64 | 64 | } |
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65 | 65 | |
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66 | 66 | double x() const override { return m_XIt->at(0); } |
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67 | 67 | double value() const override { return m_ValuesIt->at(0); } |
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68 | 68 | double value(int componentIndex) const override { return m_ValuesIt->at(componentIndex); } |
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69 | 69 | double minValue() const override { return m_ValuesIt->min(); } |
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70 | 70 | double maxValue() const override { return m_ValuesIt->max(); } |
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71 | 71 | QVector<double> values() const override { return m_ValuesIt->values(); } |
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72 | 72 | |
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73 | 73 | private: |
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74 | 74 | ArrayDataIterator m_XIt; |
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75 | 75 | ArrayDataIterator m_ValuesIt; |
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76 | 76 | }; |
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77 | 77 | } // namespace dataseries_detail |
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78 | 78 | |
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79 | 79 | /** |
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80 | 80 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. |
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81 | 81 | * |
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82 | 82 | * It proposes to set a dimension for the values ββdata. |
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83 | 83 | * |
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84 | 84 | * A DataSeries is always sorted on its x-axis data. |
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85 | 85 | * |
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86 | 86 | * @tparam Dim The dimension of the values data |
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87 | 87 | * |
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88 | 88 | */ |
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89 | 89 | template <int Dim> |
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90 | 90 | class SCIQLOP_CORE_EXPORT DataSeries : public IDataSeries { |
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91 | 91 | friend class DataSeriesMergeHelper; |
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92 | 92 | |
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93 | 93 | public: |
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94 | /// Tag needed to define the push_back() method | |
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95 | /// @sa push_back() | |
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96 | using value_type = DataSeriesIteratorValue; | |
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97 | ||
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94 | 98 | /// @sa IDataSeries::xAxisData() |
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95 | 99 | std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; } |
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96 | 100 | const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; } |
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97 | 101 | |
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98 | 102 | /// @sa IDataSeries::xAxisUnit() |
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99 | 103 | Unit xAxisUnit() const override { return m_XAxisUnit; } |
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100 | 104 | |
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101 | 105 | /// @return the values dataset |
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102 | 106 | std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; } |
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103 | 107 | const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; } |
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104 | 108 | |
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105 | 109 | /// @sa IDataSeries::valuesUnit() |
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106 | 110 | Unit valuesUnit() const override { return m_ValuesUnit; } |
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107 | 111 | |
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108 | 112 | |
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109 | 113 | SqpRange range() const override |
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110 | 114 | { |
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111 | 115 | if (!m_XAxisData->cdata().isEmpty()) { |
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112 | 116 | return SqpRange{m_XAxisData->cdata().first(), m_XAxisData->cdata().last()}; |
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113 | 117 | } |
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114 | 118 | |
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115 | 119 | return SqpRange{}; |
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116 | 120 | } |
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117 | 121 | |
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118 | 122 | void clear() |
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119 | 123 | { |
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120 | 124 | m_XAxisData->clear(); |
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121 | 125 | m_ValuesData->clear(); |
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122 | 126 | } |
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123 | 127 | |
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124 | 128 | bool isEmpty() const noexcept { return m_XAxisData->size() == 0; } |
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125 | 129 | |
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126 | 130 | /// Merges into the data series an other data series |
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127 | 131 | /// @remarks the data series to merge with is cleared after the operation |
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128 | 132 | void merge(IDataSeries *dataSeries) override |
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129 | 133 | { |
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130 | 134 | dataSeries->lockWrite(); |
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131 | 135 | lockWrite(); |
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132 | 136 | |
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133 | 137 | if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) { |
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134 | 138 | DataSeriesMergeHelper::merge(*other, *this); |
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135 | 139 | } |
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136 | 140 | else { |
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137 | 141 | qCWarning(LOG_DataSeries()) |
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138 | 142 | << QObject::tr("Detection of a type of IDataSeries we cannot merge with !"); |
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139 | 143 | } |
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140 | 144 | unlock(); |
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141 | 145 | dataSeries->unlock(); |
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142 | 146 | } |
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143 | 147 | |
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144 | 148 | // ///////// // |
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145 | 149 | // Iterators // |
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146 | 150 | // ///////// // |
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147 | 151 | |
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148 | 152 | DataSeriesIterator cbegin() const override |
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149 | 153 | { |
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150 | 154 | return DataSeriesIterator{DataSeriesIteratorValue{ |
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151 | 155 | std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, true)}}; |
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152 | 156 | } |
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153 | 157 | |
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154 | 158 | DataSeriesIterator cend() const override |
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155 | 159 | { |
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156 | 160 | return DataSeriesIterator{DataSeriesIteratorValue{ |
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157 | 161 | std::make_unique<dataseries_detail::IteratorValue<Dim> >(*this, false)}}; |
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158 | 162 | } |
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159 | 163 | |
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160 | 164 | /// @sa IDataSeries::minXAxisData() |
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161 | 165 | DataSeriesIterator minXAxisData(double minXAxisData) const override |
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162 | 166 | { |
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163 | 167 | return std::lower_bound( |
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164 | 168 | cbegin(), cend(), minXAxisData, |
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165 | 169 | [](const auto &itValue, const auto &value) { return itValue.x() < value; }); |
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166 | 170 | } |
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167 | 171 | |
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168 | 172 | /// @sa IDataSeries::maxXAxisData() |
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169 | 173 | DataSeriesIterator maxXAxisData(double maxXAxisData) const override |
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170 | 174 | { |
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171 | 175 | // Gets the first element that greater than max value |
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172 | 176 | auto it = std::upper_bound( |
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173 | 177 | cbegin(), cend(), maxXAxisData, |
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174 | 178 | [](const auto &value, const auto &itValue) { return value < itValue.x(); }); |
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175 | 179 | |
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176 | 180 | return it == cbegin() ? cend() : --it; |
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177 | 181 | } |
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178 | 182 | |
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179 | 183 | std::pair<DataSeriesIterator, DataSeriesIterator> xAxisRange(double minXAxisData, |
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180 | 184 | double maxXAxisData) const override |
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181 | 185 | { |
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182 | 186 | if (minXAxisData > maxXAxisData) { |
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183 | 187 | std::swap(minXAxisData, maxXAxisData); |
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184 | 188 | } |
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185 | 189 | |
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186 | 190 | auto begin = cbegin(); |
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187 | 191 | auto end = cend(); |
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188 | 192 | |
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189 | 193 | auto lowerIt = std::lower_bound( |
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190 | 194 | begin, end, minXAxisData, |
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191 | 195 | [](const auto &itValue, const auto &value) { return itValue.x() < value; }); |
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192 | 196 | auto upperIt = std::upper_bound( |
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193 | 197 | begin, end, maxXAxisData, |
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194 | 198 | [](const auto &value, const auto &itValue) { return value < itValue.x(); }); |
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195 | 199 | |
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196 | 200 | return std::make_pair(lowerIt, upperIt); |
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197 | 201 | } |
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198 | 202 | |
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199 | 203 | std::pair<DataSeriesIterator, DataSeriesIterator> |
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200 | 204 | valuesBounds(double minXAxisData, double maxXAxisData) const override |
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201 | 205 | { |
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202 | 206 | // Places iterators to the correct x-axis range |
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203 | 207 | auto xAxisRangeIts = xAxisRange(minXAxisData, maxXAxisData); |
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204 | 208 | |
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205 | 209 | // Returns end iterators if the range is empty |
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206 | 210 | if (xAxisRangeIts.first == xAxisRangeIts.second) { |
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207 | 211 | return std::make_pair(cend(), cend()); |
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208 | 212 | } |
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209 | 213 | |
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210 | 214 | // Gets the iterator on the min of all values data |
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211 | 215 | auto minIt = std::min_element( |
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212 | 216 | xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) { |
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213 | 217 | return SortUtils::minCompareWithNaN(it1.minValue(), it2.minValue()); |
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214 | 218 | }); |
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215 | 219 | |
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216 | 220 | // Gets the iterator on the max of all values data |
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217 | 221 | auto maxIt = std::max_element( |
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218 | 222 | xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) { |
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219 | 223 | return SortUtils::maxCompareWithNaN(it1.maxValue(), it2.maxValue()); |
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220 | 224 | }); |
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221 | 225 | |
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222 | 226 | return std::make_pair(minIt, maxIt); |
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223 | 227 | } |
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224 | 228 | |
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225 | 229 | // /////// // |
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226 | 230 | // Mutexes // |
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227 | 231 | // /////// // |
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228 | 232 | |
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229 | 233 | virtual void lockRead() { m_Lock.lockForRead(); } |
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230 | 234 | virtual void lockWrite() { m_Lock.lockForWrite(); } |
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231 | 235 | virtual void unlock() { m_Lock.unlock(); } |
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232 | 236 | |
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237 | // ///// // | |
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238 | // Other // | |
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239 | // ///// // | |
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240 | ||
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241 | /// Inserts at the end of the data series the value of the iterator passed as a parameter. This | |
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242 | /// method is intended to be used in the context of generating a back insert iterator | |
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243 | /// @param iteratorValue the iterator value containing the values to insert | |
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244 | /// @sa http://en.cppreference.com/w/cpp/iterator/back_inserter | |
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245 | /// @sa merge() | |
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246 | /// @sa value_type | |
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247 | void push_back(const value_type &iteratorValue) | |
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248 | { | |
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249 | m_XAxisData->push_back(QVector<double>{iteratorValue.x()}); | |
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250 | m_ValuesData->push_back(iteratorValue.values()); | |
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251 | } | |
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252 | ||
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233 | 253 | protected: |
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234 | 254 | /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a |
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235 | 255 | /// DataSeries with no values will be created. |
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236 | 256 | /// @remarks data series is automatically sorted on its x-axis data |
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237 | 257 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, |
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238 | 258 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) |
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239 | 259 | : m_XAxisData{xAxisData}, |
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240 | 260 | m_XAxisUnit{xAxisUnit}, |
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241 | 261 | m_ValuesData{valuesData}, |
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242 | 262 | m_ValuesUnit{valuesUnit} |
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243 | 263 | { |
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244 | 264 | if (m_XAxisData->size() != m_ValuesData->size()) { |
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245 | 265 | clear(); |
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246 | 266 | } |
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247 | 267 | |
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248 | 268 | // Sorts data if it's not the case |
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249 | 269 | const auto &xAxisCData = m_XAxisData->cdata(); |
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250 | 270 | if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) { |
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251 | 271 | sort(); |
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252 | 272 | } |
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253 | 273 | } |
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254 | 274 | |
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255 | 275 | /// Copy ctor |
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256 | 276 | explicit DataSeries(const DataSeries<Dim> &other) |
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257 | 277 | : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)}, |
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258 | 278 | m_XAxisUnit{other.m_XAxisUnit}, |
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259 | 279 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, |
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260 | 280 | m_ValuesUnit{other.m_ValuesUnit} |
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261 | 281 | { |
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262 | 282 | // Since a series is ordered from its construction and is always ordered, it is not |
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263 | 283 | // necessary to call the sort method here ('other' is sorted) |
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264 | 284 | } |
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265 | 285 | |
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266 | 286 | /// Assignment operator |
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267 | 287 | template <int D> |
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268 | 288 | DataSeries &operator=(DataSeries<D> other) |
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269 | 289 | { |
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270 | 290 | std::swap(m_XAxisData, other.m_XAxisData); |
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271 | 291 | std::swap(m_XAxisUnit, other.m_XAxisUnit); |
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272 | 292 | std::swap(m_ValuesData, other.m_ValuesData); |
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273 | 293 | std::swap(m_ValuesUnit, other.m_ValuesUnit); |
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274 | 294 | |
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275 | 295 | return *this; |
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276 | 296 | } |
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277 | 297 | |
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278 | 298 | private: |
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279 | 299 | /** |
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280 | 300 | * Sorts data series on its x-axis data |
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281 | 301 | */ |
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282 | 302 | void sort() noexcept |
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283 | 303 | { |
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284 | 304 | auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>()); |
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285 | 305 | m_XAxisData = m_XAxisData->sort(permutation); |
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286 | 306 | m_ValuesData = m_ValuesData->sort(permutation); |
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287 | 307 | } |
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288 | 308 | |
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289 | 309 | std::shared_ptr<ArrayData<1> > m_XAxisData; |
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290 | 310 | Unit m_XAxisUnit; |
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291 | 311 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
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292 | 312 | Unit m_ValuesUnit; |
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293 | 313 | |
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294 | 314 | QReadWriteLock m_Lock; |
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295 | 315 | }; |
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296 | 316 | |
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297 | 317 | #endif // SCIQLOP_DATASERIES_H |
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