@@ -1,367 +1,374 | |||
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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 = std::vector<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, bool IsConst> |
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43 | 43 | class IteratorValue; |
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44 | 44 | |
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45 | 45 | template <int Dim, bool IsConst> |
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46 | 46 | struct IteratorValueBuilder { |
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47 | 47 | }; |
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48 | 48 | |
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49 | 49 | template <int Dim> |
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50 | 50 | struct IteratorValueBuilder<Dim, true> { |
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51 | 51 | using DataContainerIterator = DataContainer::const_iterator; |
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52 | 52 | |
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53 | 53 | static void swap(IteratorValue<Dim, true> &o1, IteratorValue<Dim, true> &o2) {} |
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54 | 54 | }; |
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55 | 55 | |
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56 | 56 | template <int Dim> |
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57 | 57 | struct IteratorValueBuilder<Dim, false> { |
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58 | 58 | using DataContainerIterator = DataContainer::iterator; |
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59 | 59 | |
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60 | 60 | static void swap(IteratorValue<Dim, false> &o1, IteratorValue<Dim, false> &o2) |
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61 | 61 | { |
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62 | 62 | for (auto i = 0; i < o1.m_NbComponents; ++i) { |
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63 | 63 | std::iter_swap(o1.m_It + i, o2.m_It + i); |
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64 | 64 | } |
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65 | 65 | } |
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66 | 66 | }; |
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67 | 67 | |
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68 | 68 | template <int Dim, bool IsConst> |
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69 | 69 | class IteratorValue : public ArrayDataIteratorValue::Impl { |
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70 | 70 | public: |
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71 | 71 | friend class ArrayData<Dim>; |
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72 | 72 | friend class IteratorValueBuilder<Dim, IsConst>; |
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73 | 73 | |
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74 | 74 | using DataContainerIterator = |
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75 | 75 | typename IteratorValueBuilder<Dim, IsConst>::DataContainerIterator; |
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76 | 76 | |
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77 | 77 | template <bool IC = IsConst, typename = std::enable_if_t<IC == true> > |
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78 | 78 | explicit IteratorValue(const DataContainer &container, int nbComponents, bool begin) |
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79 | 79 | : m_It{begin ? container.cbegin() : container.cend()}, m_NbComponents{nbComponents} |
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80 | 80 | { |
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81 | 81 | } |
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82 | 82 | |
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83 | 83 | template <bool IC = IsConst, typename = std::enable_if_t<IC == false> > |
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84 | 84 | explicit IteratorValue(DataContainer &container, int nbComponents, bool begin) |
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85 | 85 | : m_It{begin ? container.begin() : container.end()}, m_NbComponents{nbComponents} |
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86 | 86 | { |
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87 | 87 | } |
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88 | 88 | |
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89 | 89 | IteratorValue(const IteratorValue &other) = default; |
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90 | 90 | |
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91 | 91 | std::unique_ptr<ArrayDataIteratorValue::Impl> clone() const override |
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92 | 92 | { |
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93 | 93 | return std::make_unique<IteratorValue<Dim, IsConst> >(*this); |
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94 | 94 | } |
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95 | 95 | |
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96 | 96 | int distance(const ArrayDataIteratorValue::Impl &other) const override try { |
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97 | 97 | /// @todo ALX : validate |
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98 | 98 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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99 | 99 | return std::distance(otherImpl.m_It, m_It) / m_NbComponents; |
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100 | 100 | } |
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101 | 101 | catch (const std::bad_cast &) { |
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102 | 102 | return 0; |
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103 | 103 | } |
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104 | 104 | |
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105 | 105 | bool equals(const ArrayDataIteratorValue::Impl &other) const override try { |
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106 | 106 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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107 | 107 | return std::tie(m_It, m_NbComponents) == std::tie(otherImpl.m_It, otherImpl.m_NbComponents); |
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108 | 108 | } |
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109 | 109 | catch (const std::bad_cast &) { |
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110 | 110 | return false; |
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111 | 111 | } |
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112 | 112 | |
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113 | 113 | bool lowerThan(const ArrayDataIteratorValue::Impl &other) const override try { |
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114 | 114 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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115 | 115 | return m_It < otherImpl.m_It; |
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116 | 116 | } |
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117 | 117 | catch (const std::bad_cast &) { |
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118 | 118 | return false; |
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119 | 119 | } |
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120 | 120 | |
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121 | 121 | std::unique_ptr<ArrayDataIteratorValue::Impl> advance(int offset) const override |
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122 | 122 | { |
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123 | 123 | auto result = clone(); |
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124 | 124 | result->next(offset); |
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125 | 125 | return result; |
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126 | 126 | } |
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127 | 127 | |
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128 | 128 | void next(int offset) override { std::advance(m_It, offset * m_NbComponents); } |
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129 | 129 | void prev() override { std::advance(m_It, -m_NbComponents); } |
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130 | 130 | |
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131 | 131 | double at(int componentIndex) const override { return *(m_It + componentIndex); } |
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132 | 132 | double first() const override { return *m_It; } |
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133 | 133 | double min() const override |
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134 | 134 | { |
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135 | 135 | auto values = this->values(); |
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136 | 136 | auto end = values.cend(); |
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137 | 137 | auto it = std::min_element(values.cbegin(), end, [](const auto &v1, const auto &v2) { |
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138 | 138 | return SortUtils::minCompareWithNaN(v1, v2); |
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139 | 139 | }); |
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140 | 140 | |
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141 | 141 | return it != end ? *it : std::numeric_limits<double>::quiet_NaN(); |
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142 | 142 | } |
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143 | 143 | double max() const override |
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144 | 144 | { |
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145 | 145 | auto values = this->values(); |
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146 | 146 | auto end = values.cend(); |
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147 | 147 | auto it = std::max_element(values.cbegin(), end, [](const auto &v1, const auto &v2) { |
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148 | 148 | return SortUtils::maxCompareWithNaN(v1, v2); |
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149 | 149 | }); |
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150 | 150 | return it != end ? *it : std::numeric_limits<double>::quiet_NaN(); |
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151 | 151 | } |
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152 | 152 | |
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153 | 153 | QVector<double> values() const override |
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154 | 154 | { |
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155 | 155 | auto result = QVector<double>{}; |
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156 | 156 | for (auto i = 0; i < m_NbComponents; ++i) { |
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157 | 157 | result.push_back(*(m_It + i)); |
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158 | 158 | } |
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159 | 159 | |
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160 | 160 | return result; |
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161 | 161 | } |
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162 | 162 | |
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163 | 163 | void swap(ArrayDataIteratorValue::Impl &other) override |
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164 | 164 | { |
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165 | 165 | auto &otherImpl = dynamic_cast<IteratorValue &>(other); |
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166 | 166 | IteratorValueBuilder<Dim, IsConst>::swap(*this, otherImpl); |
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167 | 167 | } |
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168 | 168 | |
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169 | 169 | private: |
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170 | 170 | DataContainerIterator m_It; |
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171 | 171 | int m_NbComponents; |
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172 | 172 | }; |
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173 | 173 | |
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174 | 174 | } // namespace arraydata_detail |
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175 | 175 | |
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176 | 176 | /** |
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177 | 177 | * @brief The ArrayData class represents a dataset for a data series. |
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178 | 178 | * |
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179 | 179 | * A dataset can be unidimensional or two-dimensional. This property is determined by the Dim |
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180 | 180 | * template-parameter. In a case of a two-dimensional dataset, each dataset component has the same |
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181 | 181 | * number of values |
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182 | 182 | * |
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183 | 183 | * @tparam Dim the dimension of the ArrayData (one or two) |
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184 | 184 | * @sa IDataSeries |
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185 | 185 | */ |
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186 | 186 | template <int Dim> |
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187 | 187 | class ArrayData { |
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188 | 188 | public: |
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189 | 189 | // ///// // |
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190 | 190 | // Ctors // |
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191 | 191 | // ///// // |
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192 | 192 | |
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193 | 193 | /** |
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194 | 194 | * Ctor for a unidimensional ArrayData |
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195 | 195 | * @param data the data the ArrayData will hold |
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196 | 196 | */ |
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197 | 197 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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198 | 198 | explicit ArrayData(DataContainer data) : m_Data{std::move(data)}, m_NbComponents{1} |
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199 | 199 | { |
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200 | 200 | } |
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201 | 201 | |
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202 | 202 | /** |
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203 | 203 | * Ctor for a two-dimensional ArrayData. The number of components (number of lines) must be |
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204 | 204 | * greater than 2 and must be a divisor of the total number of data in the vector |
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205 | 205 | * @param data the data the ArrayData will hold |
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206 | 206 | * @param nbComponents the number of components |
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207 | 207 | * @throws std::invalid_argument if the number of components is less than 2 or is not a divisor |
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208 | 208 | * of the size of the data |
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209 | 209 | */ |
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210 | 210 | template <int D = Dim, typename = std::enable_if_t<D == 2> > |
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211 | 211 | explicit ArrayData(DataContainer data, int nbComponents) |
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212 | 212 | : m_Data{std::move(data)}, m_NbComponents{nbComponents} |
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213 | 213 | { |
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214 | 214 | if (nbComponents < 2) { |
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215 | 215 | throw std::invalid_argument{ |
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216 | 216 | QString{"A multidimensional ArrayData must have at least 2 components (found: %1)"} |
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217 | 217 | .arg(nbComponents) |
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218 | 218 | .toStdString()}; |
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219 | 219 | } |
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220 | 220 | |
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221 | 221 | if (m_Data.size() % m_NbComponents != 0) { |
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222 | 222 | throw std::invalid_argument{QString{ |
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223 | 223 | "The number of components (%1) is inconsistent with the total number of data (%2)"} |
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224 | 224 | .arg(m_Data.size(), nbComponents) |
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225 | 225 | .toStdString()}; |
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226 | 226 | } |
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227 | 227 | } |
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228 | 228 | |
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229 | 229 | /// Copy ctor |
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230 | 230 | explicit ArrayData(const ArrayData &other) |
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231 | 231 | { |
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232 | 232 | QReadLocker otherLocker{&other.m_Lock}; |
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233 | 233 | m_Data = other.m_Data; |
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234 | 234 | m_NbComponents = other.m_NbComponents; |
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235 | 235 | } |
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236 | 236 | |
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237 | 237 | // /////////////// // |
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238 | 238 | // General methods // |
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239 | 239 | // /////////////// // |
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240 | 240 | |
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241 | 241 | /** |
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242 | 242 | * Merges into the array data an other array data. The two array datas must have the same number |
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243 | 243 | * of components so the merge can be done |
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244 | 244 | * @param other the array data to merge with |
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245 | 245 | * @param prepend if true, the other array data is inserted at the beginning, otherwise it is |
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246 | 246 | * inserted at the end |
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247 | 247 | */ |
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248 | 248 | void add(const ArrayData<Dim> &other, bool prepend = false) |
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249 | 249 | { |
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250 | 250 | QWriteLocker locker{&m_Lock}; |
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251 | 251 | QReadLocker otherLocker{&other.m_Lock}; |
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252 | 252 | |
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253 | 253 | if (m_NbComponents != other.componentCount()) { |
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254 | 254 | return; |
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255 | 255 | } |
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256 | 256 | |
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257 | 257 | insert(other.cbegin(), other.cend(), prepend); |
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258 | 258 | } |
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259 | 259 | |
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260 | 260 | void clear() |
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261 | 261 | { |
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262 | 262 | QWriteLocker locker{&m_Lock}; |
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263 | 263 | m_Data.clear(); |
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264 | 264 | } |
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265 | 265 | |
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266 | 266 | int componentCount() const noexcept { return m_NbComponents; } |
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267 | 267 | |
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268 | 268 | /// @return the size (i.e. number of values) of a single component |
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269 | 269 | /// @remarks in a case of a two-dimensional ArrayData, each component has the same size |
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270 | 270 | int size() const |
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271 | 271 | { |
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272 | 272 | QReadLocker locker{&m_Lock}; |
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273 | 273 | return m_Data.size() / m_NbComponents; |
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274 | 274 | } |
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275 | 275 | |
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276 | /// @return the total size (i.e. number of values) of the array data | |
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277 | int totalSize() const | |
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278 | { | |
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279 | QReadLocker locker{&m_Lock}; | |
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280 | return m_Data.size(); | |
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281 | } | |
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282 | ||
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276 | 283 | std::shared_ptr<ArrayData<Dim> > sort(const std::vector<int> &sortPermutation) |
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277 | 284 | { |
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278 | 285 | QReadLocker locker{&m_Lock}; |
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279 | 286 | return arraydata_detail::Sort<Dim>::sort(m_Data, m_NbComponents, sortPermutation); |
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280 | 287 | } |
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281 | 288 | |
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282 | 289 | // ///////// // |
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283 | 290 | // Iterators // |
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284 | 291 | // ///////// // |
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285 | 292 | |
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286 | 293 | ArrayDataIterator begin() |
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287 | 294 | { |
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288 | 295 | return ArrayDataIterator{ |
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289 | 296 | ArrayDataIteratorValue{std::make_unique<arraydata_detail::IteratorValue<Dim, false> >( |
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290 | 297 | m_Data, m_NbComponents, true)}}; |
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291 | 298 | } |
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292 | 299 | |
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293 | 300 | ArrayDataIterator end() |
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294 | 301 | { |
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295 | 302 | return ArrayDataIterator{ |
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296 | 303 | ArrayDataIteratorValue{std::make_unique<arraydata_detail::IteratorValue<Dim, false> >( |
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297 | 304 | m_Data, m_NbComponents, false)}}; |
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298 | 305 | } |
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299 | 306 | |
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300 | 307 | ArrayDataIterator cbegin() const |
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301 | 308 | { |
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302 | 309 | return ArrayDataIterator{ |
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303 | 310 | ArrayDataIteratorValue{std::make_unique<arraydata_detail::IteratorValue<Dim, true> >( |
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304 | 311 | m_Data, m_NbComponents, true)}}; |
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305 | 312 | } |
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306 | 313 | |
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307 | 314 | ArrayDataIterator cend() const |
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308 | 315 | { |
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309 | 316 | return ArrayDataIterator{ |
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310 | 317 | ArrayDataIteratorValue{std::make_unique<arraydata_detail::IteratorValue<Dim, true> >( |
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311 | 318 | m_Data, m_NbComponents, false)}}; |
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312 | 319 | } |
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313 | 320 | |
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314 | 321 | void erase(ArrayDataIterator first, ArrayDataIterator last) |
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315 | 322 | { |
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316 | 323 | auto firstImpl = dynamic_cast<arraydata_detail::IteratorValue<Dim, false> *>(first->impl()); |
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317 | 324 | auto lastImpl = dynamic_cast<arraydata_detail::IteratorValue<Dim, false> *>(last->impl()); |
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318 | 325 | |
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319 | 326 | if (firstImpl && lastImpl) { |
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320 | 327 | m_Data.erase(firstImpl->m_It, lastImpl->m_It); |
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321 | 328 | } |
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322 | 329 | } |
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323 | 330 | |
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324 | 331 | void insert(ArrayDataIterator first, ArrayDataIterator last, bool prepend = false) |
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325 | 332 | { |
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326 | 333 | auto firstImpl = dynamic_cast<arraydata_detail::IteratorValue<Dim, true> *>(first->impl()); |
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327 | 334 | auto lastImpl = dynamic_cast<arraydata_detail::IteratorValue<Dim, true> *>(last->impl()); |
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328 | 335 | |
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329 | 336 | if (firstImpl && lastImpl) { |
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330 | 337 | auto insertIt = prepend ? m_Data.begin() : m_Data.end(); |
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331 | 338 | |
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332 | 339 | m_Data.insert(insertIt, firstImpl->m_It, lastImpl->m_It); |
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333 | 340 | } |
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334 | 341 | } |
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335 | 342 | |
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336 | 343 | /** |
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337 | 344 | * @return the data at a specified index |
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338 | 345 | * @remarks index must be a valid position |
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339 | 346 | */ |
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340 | 347 | double at(int index) const noexcept |
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341 | 348 | { |
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342 | 349 | QReadLocker locker{&m_Lock}; |
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343 | 350 | return m_Data.at(index); |
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344 | 351 | } |
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345 | 352 | |
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346 | 353 | // ///////////// // |
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347 | 354 | // 1-dim methods // |
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348 | 355 | // ///////////// // |
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349 | 356 | |
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350 | 357 | /** |
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351 | 358 | * @return the data as a vector, as a const reference |
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352 | 359 | * @remarks this method is only available for a unidimensional ArrayData |
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353 | 360 | */ |
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354 | 361 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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355 | 362 | DataContainer cdata() const noexcept |
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356 | 363 | { |
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357 | 364 | return m_Data; |
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358 | 365 | } |
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359 | 366 | |
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360 | 367 | private: |
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361 | 368 | DataContainer m_Data; |
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362 | 369 | /// Number of components (lines). Is always 1 in a 1-dim ArrayData |
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363 | 370 | int m_NbComponents; |
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364 | 371 | mutable QReadWriteLock m_Lock; |
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365 | 372 | }; |
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366 | 373 | |
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367 | 374 | #endif // SCIQLOP_ARRAYDATA_H |
@@ -1,399 +1,400 | |||
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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, bool IsConst> |
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31 | 31 | class IteratorValue : public DataSeriesIteratorValue::Impl { |
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32 | 32 | public: |
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33 | 33 | friend class DataSeries<Dim>; |
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34 | 34 | |
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35 | 35 | template <bool IC = IsConst, typename = std::enable_if_t<IC == false> > |
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36 | 36 | explicit IteratorValue(DataSeries<Dim> &dataSeries, bool begin) |
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37 | 37 | : m_XIt(begin ? dataSeries.xAxisData()->begin() : dataSeries.xAxisData()->end()), |
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38 | 38 | m_ValuesIt(begin ? dataSeries.valuesData()->begin() : dataSeries.valuesData()->end()) |
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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 <bool IC = IsConst, typename = std::enable_if_t<IC == true> > |
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43 | 43 | explicit IteratorValue(const DataSeries<Dim> &dataSeries, bool begin) |
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44 | 44 | : m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()), |
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45 | 45 | m_ValuesIt(begin ? dataSeries.valuesData()->cbegin() |
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46 | 46 | : dataSeries.valuesData()->cend()) |
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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<DataSeriesIteratorValue::Impl> clone() const override |
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53 | 53 | { |
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54 | 54 | return std::make_unique<IteratorValue<Dim, IsConst> >(*this); |
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55 | 55 | } |
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56 | 56 | |
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57 | 57 | int distance(const DataSeriesIteratorValue::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 m_XIt->distance(*otherImpl.m_XIt); |
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60 | 60 | } |
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61 | 61 | catch (const std::bad_cast &) { |
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62 | 62 | return 0; |
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63 | 63 | } |
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64 | 64 | |
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65 | 65 | bool equals(const DataSeriesIteratorValue::Impl &other) const override try { |
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66 | 66 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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67 | 67 | return std::tie(m_XIt, m_ValuesIt) == std::tie(otherImpl.m_XIt, otherImpl.m_ValuesIt); |
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68 | 68 | } |
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69 | 69 | catch (const std::bad_cast &) { |
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70 | 70 | return false; |
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71 | 71 | } |
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72 | 72 | |
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73 | 73 | bool lowerThan(const DataSeriesIteratorValue::Impl &other) const override try { |
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74 | 74 | const auto &otherImpl = dynamic_cast<const IteratorValue &>(other); |
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75 | 75 | return m_XIt->lowerThan(*otherImpl.m_XIt); |
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76 | 76 | } |
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77 | 77 | catch (const std::bad_cast &) { |
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78 | 78 | return false; |
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79 | 79 | } |
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80 | 80 | |
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81 | 81 | std::unique_ptr<DataSeriesIteratorValue::Impl> advance(int offset) const override |
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82 | 82 | { |
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83 | 83 | auto result = clone(); |
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84 | 84 | result->next(offset); |
|
85 | 85 | return result; |
|
86 | 86 | } |
|
87 | 87 | |
|
88 | 88 | void next(int offset) override |
|
89 | 89 | { |
|
90 | 90 | m_XIt->next(offset); |
|
91 | 91 | m_ValuesIt->next(offset); |
|
92 | 92 | } |
|
93 | 93 | |
|
94 | 94 | void prev() override |
|
95 | 95 | { |
|
96 | 96 | --m_XIt; |
|
97 | 97 | --m_ValuesIt; |
|
98 | 98 | } |
|
99 | 99 | |
|
100 | 100 | double x() const override { return m_XIt->at(0); } |
|
101 | 101 | double value() const override { return m_ValuesIt->at(0); } |
|
102 | 102 | double value(int componentIndex) const override { return m_ValuesIt->at(componentIndex); } |
|
103 | 103 | double minValue() const override { return m_ValuesIt->min(); } |
|
104 | 104 | double maxValue() const override { return m_ValuesIt->max(); } |
|
105 | 105 | QVector<double> values() const override { return m_ValuesIt->values(); } |
|
106 | 106 | |
|
107 | 107 | void swap(DataSeriesIteratorValue::Impl &other) override |
|
108 | 108 | { |
|
109 | 109 | auto &otherImpl = dynamic_cast<IteratorValue &>(other); |
|
110 | 110 | m_XIt->impl()->swap(*otherImpl.m_XIt->impl()); |
|
111 | 111 | m_ValuesIt->impl()->swap(*otherImpl.m_ValuesIt->impl()); |
|
112 | 112 | } |
|
113 | 113 | |
|
114 | 114 | private: |
|
115 | 115 | ArrayDataIterator m_XIt; |
|
116 | 116 | ArrayDataIterator m_ValuesIt; |
|
117 | 117 | }; |
|
118 | 118 | } // namespace dataseries_detail |
|
119 | 119 | |
|
120 | 120 | /** |
|
121 | 121 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. |
|
122 | 122 | * |
|
123 | 123 | * It proposes to set a dimension for the values ββdata. |
|
124 | 124 | * |
|
125 | 125 | * A DataSeries is always sorted on its x-axis data. |
|
126 | 126 | * |
|
127 | 127 | * @tparam Dim The dimension of the values data |
|
128 | 128 | * |
|
129 | 129 | */ |
|
130 | 130 | template <int Dim> |
|
131 | 131 | class SCIQLOP_CORE_EXPORT DataSeries : public IDataSeries { |
|
132 | 132 | friend class DataSeriesMergeHelper; |
|
133 | 133 | |
|
134 | 134 | public: |
|
135 | 135 | /// @sa IDataSeries::xAxisData() |
|
136 | 136 | std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; } |
|
137 | 137 | const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; } |
|
138 | 138 | |
|
139 | 139 | /// @sa IDataSeries::xAxisUnit() |
|
140 | 140 | Unit xAxisUnit() const override { return m_XAxisUnit; } |
|
141 | 141 | |
|
142 | 142 | /// @return the values dataset |
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143 | 143 | std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; } |
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144 | 144 | const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; } |
|
145 | 145 | |
|
146 | 146 | /// @sa IDataSeries::valuesUnit() |
|
147 | 147 | Unit valuesUnit() const override { return m_ValuesUnit; } |
|
148 | 148 | |
|
149 | int nbPoints() const override { return m_XAxisData->totalSize() + m_ValuesData->totalSize(); } | |
|
149 | 150 | |
|
150 | 151 | SqpRange range() const override |
|
151 | 152 | { |
|
152 | 153 | if (!m_XAxisData->cdata().empty()) { |
|
153 | 154 | return SqpRange{m_XAxisData->cdata().front(), m_XAxisData->cdata().back()}; |
|
154 | 155 | } |
|
155 | 156 | |
|
156 | 157 | return SqpRange{}; |
|
157 | 158 | } |
|
158 | 159 | |
|
159 | 160 | void clear() |
|
160 | 161 | { |
|
161 | 162 | m_XAxisData->clear(); |
|
162 | 163 | m_ValuesData->clear(); |
|
163 | 164 | } |
|
164 | 165 | |
|
165 | 166 | bool isEmpty() const noexcept { return m_XAxisData->size() == 0; } |
|
166 | 167 | |
|
167 | 168 | /// Merges into the data series an other data series |
|
168 | 169 | /// @remarks the data series to merge with is cleared after the operation |
|
169 | 170 | void merge(IDataSeries *dataSeries) override |
|
170 | 171 | { |
|
171 | 172 | dataSeries->lockWrite(); |
|
172 | 173 | lockWrite(); |
|
173 | 174 | |
|
174 | 175 | if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) { |
|
175 | 176 | DataSeriesMergeHelper::merge(*other, *this); |
|
176 | 177 | } |
|
177 | 178 | else { |
|
178 | 179 | qCWarning(LOG_DataSeries()) |
|
179 | 180 | << QObject::tr("Detection of a type of IDataSeries we cannot merge with !"); |
|
180 | 181 | } |
|
181 | 182 | unlock(); |
|
182 | 183 | dataSeries->unlock(); |
|
183 | 184 | } |
|
184 | 185 | |
|
185 | 186 | void purge(double min, double max) override |
|
186 | 187 | { |
|
187 | 188 | // Nothing to purge if series is empty |
|
188 | 189 | if (isEmpty()) { |
|
189 | 190 | return; |
|
190 | 191 | } |
|
191 | 192 | |
|
192 | 193 | if (min > max) { |
|
193 | 194 | std::swap(min, max); |
|
194 | 195 | } |
|
195 | 196 | |
|
196 | 197 | // Nothing to purge if series min/max are inside purge range |
|
197 | 198 | auto xMin = cbegin()->x(); |
|
198 | 199 | auto xMax = (--cend())->x(); |
|
199 | 200 | if (xMin >= min && xMax <= max) { |
|
200 | 201 | return; |
|
201 | 202 | } |
|
202 | 203 | |
|
203 | 204 | auto lowerIt = std::lower_bound( |
|
204 | 205 | begin(), end(), min, [](const auto &it, const auto &val) { return it.x() < val; }); |
|
205 | 206 | erase(begin(), lowerIt); |
|
206 | 207 | auto upperIt = std::upper_bound( |
|
207 | 208 | begin(), end(), max, [](const auto &val, const auto &it) { return val < it.x(); }); |
|
208 | 209 | erase(upperIt, end()); |
|
209 | 210 | } |
|
210 | 211 | |
|
211 | 212 | // ///////// // |
|
212 | 213 | // Iterators // |
|
213 | 214 | // ///////// // |
|
214 | 215 | |
|
215 | 216 | DataSeriesIterator begin() override |
|
216 | 217 | { |
|
217 | 218 | return DataSeriesIterator{DataSeriesIteratorValue{ |
|
218 | 219 | std::make_unique<dataseries_detail::IteratorValue<Dim, false> >(*this, true)}}; |
|
219 | 220 | } |
|
220 | 221 | |
|
221 | 222 | DataSeriesIterator end() override |
|
222 | 223 | { |
|
223 | 224 | return DataSeriesIterator{DataSeriesIteratorValue{ |
|
224 | 225 | std::make_unique<dataseries_detail::IteratorValue<Dim, false> >(*this, false)}}; |
|
225 | 226 | } |
|
226 | 227 | |
|
227 | 228 | DataSeriesIterator cbegin() const override |
|
228 | 229 | { |
|
229 | 230 | return DataSeriesIterator{DataSeriesIteratorValue{ |
|
230 | 231 | std::make_unique<dataseries_detail::IteratorValue<Dim, true> >(*this, true)}}; |
|
231 | 232 | } |
|
232 | 233 | |
|
233 | 234 | DataSeriesIterator cend() const override |
|
234 | 235 | { |
|
235 | 236 | return DataSeriesIterator{DataSeriesIteratorValue{ |
|
236 | 237 | std::make_unique<dataseries_detail::IteratorValue<Dim, true> >(*this, false)}}; |
|
237 | 238 | } |
|
238 | 239 | |
|
239 | 240 | void erase(DataSeriesIterator first, DataSeriesIterator last) |
|
240 | 241 | { |
|
241 | 242 | auto firstImpl |
|
242 | 243 | = dynamic_cast<dataseries_detail::IteratorValue<Dim, false> *>(first->impl()); |
|
243 | 244 | auto lastImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, false> *>(last->impl()); |
|
244 | 245 | |
|
245 | 246 | if (firstImpl && lastImpl) { |
|
246 | 247 | m_XAxisData->erase(firstImpl->m_XIt, lastImpl->m_XIt); |
|
247 | 248 | m_ValuesData->erase(firstImpl->m_ValuesIt, lastImpl->m_ValuesIt); |
|
248 | 249 | } |
|
249 | 250 | } |
|
250 | 251 | |
|
251 | 252 | void insert(DataSeriesIterator first, DataSeriesIterator last, bool prepend = false) |
|
252 | 253 | { |
|
253 | 254 | auto firstImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, true> *>(first->impl()); |
|
254 | 255 | auto lastImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, true> *>(last->impl()); |
|
255 | 256 | |
|
256 | 257 | if (firstImpl && lastImpl) { |
|
257 | 258 | m_XAxisData->insert(firstImpl->m_XIt, lastImpl->m_XIt, prepend); |
|
258 | 259 | m_ValuesData->insert(firstImpl->m_ValuesIt, lastImpl->m_ValuesIt, prepend); |
|
259 | 260 | } |
|
260 | 261 | } |
|
261 | 262 | |
|
262 | 263 | /// @sa IDataSeries::minXAxisData() |
|
263 | 264 | DataSeriesIterator minXAxisData(double minXAxisData) const override |
|
264 | 265 | { |
|
265 | 266 | return std::lower_bound( |
|
266 | 267 | cbegin(), cend(), minXAxisData, |
|
267 | 268 | [](const auto &itValue, const auto &value) { return itValue.x() < value; }); |
|
268 | 269 | } |
|
269 | 270 | |
|
270 | 271 | /// @sa IDataSeries::maxXAxisData() |
|
271 | 272 | DataSeriesIterator maxXAxisData(double maxXAxisData) const override |
|
272 | 273 | { |
|
273 | 274 | // Gets the first element that greater than max value |
|
274 | 275 | auto it = std::upper_bound( |
|
275 | 276 | cbegin(), cend(), maxXAxisData, |
|
276 | 277 | [](const auto &value, const auto &itValue) { return value < itValue.x(); }); |
|
277 | 278 | |
|
278 | 279 | return it == cbegin() ? cend() : --it; |
|
279 | 280 | } |
|
280 | 281 | |
|
281 | 282 | std::pair<DataSeriesIterator, DataSeriesIterator> xAxisRange(double minXAxisData, |
|
282 | 283 | double maxXAxisData) const override |
|
283 | 284 | { |
|
284 | 285 | if (minXAxisData > maxXAxisData) { |
|
285 | 286 | std::swap(minXAxisData, maxXAxisData); |
|
286 | 287 | } |
|
287 | 288 | |
|
288 | 289 | auto begin = cbegin(); |
|
289 | 290 | auto end = cend(); |
|
290 | 291 | |
|
291 | 292 | auto lowerIt = std::lower_bound( |
|
292 | 293 | begin, end, minXAxisData, |
|
293 | 294 | [](const auto &itValue, const auto &value) { return itValue.x() < value; }); |
|
294 | 295 | auto upperIt = std::upper_bound( |
|
295 | 296 | lowerIt, end, maxXAxisData, |
|
296 | 297 | [](const auto &value, const auto &itValue) { return value < itValue.x(); }); |
|
297 | 298 | |
|
298 | 299 | return std::make_pair(lowerIt, upperIt); |
|
299 | 300 | } |
|
300 | 301 | |
|
301 | 302 | std::pair<DataSeriesIterator, DataSeriesIterator> |
|
302 | 303 | valuesBounds(double minXAxisData, double maxXAxisData) const override |
|
303 | 304 | { |
|
304 | 305 | // Places iterators to the correct x-axis range |
|
305 | 306 | auto xAxisRangeIts = xAxisRange(minXAxisData, maxXAxisData); |
|
306 | 307 | |
|
307 | 308 | // Returns end iterators if the range is empty |
|
308 | 309 | if (xAxisRangeIts.first == xAxisRangeIts.second) { |
|
309 | 310 | return std::make_pair(cend(), cend()); |
|
310 | 311 | } |
|
311 | 312 | |
|
312 | 313 | // Gets the iterator on the min of all values data |
|
313 | 314 | auto minIt = std::min_element( |
|
314 | 315 | xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) { |
|
315 | 316 | return SortUtils::minCompareWithNaN(it1.minValue(), it2.minValue()); |
|
316 | 317 | }); |
|
317 | 318 | |
|
318 | 319 | // Gets the iterator on the max of all values data |
|
319 | 320 | auto maxIt = std::max_element( |
|
320 | 321 | xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) { |
|
321 | 322 | return SortUtils::maxCompareWithNaN(it1.maxValue(), it2.maxValue()); |
|
322 | 323 | }); |
|
323 | 324 | |
|
324 | 325 | return std::make_pair(minIt, maxIt); |
|
325 | 326 | } |
|
326 | 327 | |
|
327 | 328 | // /////// // |
|
328 | 329 | // Mutexes // |
|
329 | 330 | // /////// // |
|
330 | 331 | |
|
331 | 332 | virtual void lockRead() { m_Lock.lockForRead(); } |
|
332 | 333 | virtual void lockWrite() { m_Lock.lockForWrite(); } |
|
333 | 334 | virtual void unlock() { m_Lock.unlock(); } |
|
334 | 335 | |
|
335 | 336 | protected: |
|
336 | 337 | /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a |
|
337 | 338 | /// DataSeries with no values will be created. |
|
338 | 339 | /// @remarks data series is automatically sorted on its x-axis data |
|
339 | 340 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, |
|
340 | 341 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) |
|
341 | 342 | : m_XAxisData{xAxisData}, |
|
342 | 343 | m_XAxisUnit{xAxisUnit}, |
|
343 | 344 | m_ValuesData{valuesData}, |
|
344 | 345 | m_ValuesUnit{valuesUnit} |
|
345 | 346 | { |
|
346 | 347 | if (m_XAxisData->size() != m_ValuesData->size()) { |
|
347 | 348 | clear(); |
|
348 | 349 | } |
|
349 | 350 | |
|
350 | 351 | // Sorts data if it's not the case |
|
351 | 352 | const auto &xAxisCData = m_XAxisData->cdata(); |
|
352 | 353 | if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) { |
|
353 | 354 | sort(); |
|
354 | 355 | } |
|
355 | 356 | } |
|
356 | 357 | |
|
357 | 358 | /// Copy ctor |
|
358 | 359 | explicit DataSeries(const DataSeries<Dim> &other) |
|
359 | 360 | : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)}, |
|
360 | 361 | m_XAxisUnit{other.m_XAxisUnit}, |
|
361 | 362 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, |
|
362 | 363 | m_ValuesUnit{other.m_ValuesUnit} |
|
363 | 364 | { |
|
364 | 365 | // Since a series is ordered from its construction and is always ordered, it is not |
|
365 | 366 | // necessary to call the sort method here ('other' is sorted) |
|
366 | 367 | } |
|
367 | 368 | |
|
368 | 369 | /// Assignment operator |
|
369 | 370 | template <int D> |
|
370 | 371 | DataSeries &operator=(DataSeries<D> other) |
|
371 | 372 | { |
|
372 | 373 | std::swap(m_XAxisData, other.m_XAxisData); |
|
373 | 374 | std::swap(m_XAxisUnit, other.m_XAxisUnit); |
|
374 | 375 | std::swap(m_ValuesData, other.m_ValuesData); |
|
375 | 376 | std::swap(m_ValuesUnit, other.m_ValuesUnit); |
|
376 | 377 | |
|
377 | 378 | return *this; |
|
378 | 379 | } |
|
379 | 380 | |
|
380 | 381 | private: |
|
381 | 382 | /** |
|
382 | 383 | * Sorts data series on its x-axis data |
|
383 | 384 | */ |
|
384 | 385 | void sort() noexcept |
|
385 | 386 | { |
|
386 | 387 | auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>()); |
|
387 | 388 | m_XAxisData = m_XAxisData->sort(permutation); |
|
388 | 389 | m_ValuesData = m_ValuesData->sort(permutation); |
|
389 | 390 | } |
|
390 | 391 | |
|
391 | 392 | std::shared_ptr<ArrayData<1> > m_XAxisData; |
|
392 | 393 | Unit m_XAxisUnit; |
|
393 | 394 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
|
394 | 395 | Unit m_ValuesUnit; |
|
395 | 396 | |
|
396 | 397 | QReadWriteLock m_Lock; |
|
397 | 398 | }; |
|
398 | 399 | |
|
399 | 400 | #endif // SCIQLOP_DATASERIES_H |
@@ -1,109 +1,113 | |||
|
1 | 1 | #ifndef SCIQLOP_IDATASERIES_H |
|
2 | 2 | #define SCIQLOP_IDATASERIES_H |
|
3 | 3 | |
|
4 | 4 | #include <Common/MetaTypes.h> |
|
5 | 5 | #include <Data/DataSeriesIterator.h> |
|
6 | 6 | #include <Data/SqpRange.h> |
|
7 | 7 | |
|
8 | 8 | #include <memory> |
|
9 | 9 | |
|
10 | 10 | #include <QString> |
|
11 | 11 | |
|
12 | 12 | template <int Dim> |
|
13 | 13 | class ArrayData; |
|
14 | 14 | |
|
15 | 15 | struct Unit { |
|
16 | 16 | explicit Unit(const QString &name = {}, bool timeUnit = false) |
|
17 | 17 | : m_Name{name}, m_TimeUnit{timeUnit} |
|
18 | 18 | { |
|
19 | 19 | } |
|
20 | 20 | |
|
21 | 21 | inline bool operator==(const Unit &other) const |
|
22 | 22 | { |
|
23 | 23 | return std::tie(m_Name, m_TimeUnit) == std::tie(other.m_Name, other.m_TimeUnit); |
|
24 | 24 | } |
|
25 | 25 | inline bool operator!=(const Unit &other) const { return !(*this == other); } |
|
26 | 26 | |
|
27 | 27 | QString m_Name; ///< Unit name |
|
28 | 28 | bool m_TimeUnit; ///< The unit is a unit of time (UTC) |
|
29 | 29 | }; |
|
30 | 30 | |
|
31 | 31 | /** |
|
32 | 32 | * @brief The IDataSeries aims to declare a data series. |
|
33 | 33 | * |
|
34 | 34 | * A data series is an entity that contains at least : |
|
35 | 35 | * - one dataset representing the x-axis |
|
36 | 36 | * - one dataset representing the values |
|
37 | 37 | * |
|
38 | 38 | * Each dataset is represented by an ArrayData, and is associated with a unit. |
|
39 | 39 | * |
|
40 | 40 | * An ArrayData can be unidimensional or two-dimensional, depending on the implementation of the |
|
41 | 41 | * IDataSeries. The x-axis dataset is always unidimensional. |
|
42 | 42 | * |
|
43 | 43 | * @sa ArrayData |
|
44 | 44 | */ |
|
45 | 45 | class IDataSeries { |
|
46 | 46 | public: |
|
47 | 47 | virtual ~IDataSeries() noexcept = default; |
|
48 | 48 | |
|
49 | 49 | /// Returns the x-axis dataset |
|
50 | 50 | virtual std::shared_ptr<ArrayData<1> > xAxisData() = 0; |
|
51 | 51 | |
|
52 | 52 | /// Returns the x-axis dataset (as const) |
|
53 | 53 | virtual const std::shared_ptr<ArrayData<1> > xAxisData() const = 0; |
|
54 | 54 | |
|
55 | 55 | virtual Unit xAxisUnit() const = 0; |
|
56 | 56 | |
|
57 | 57 | virtual Unit valuesUnit() const = 0; |
|
58 | 58 | |
|
59 | 59 | virtual void merge(IDataSeries *dataSeries) = 0; |
|
60 | 60 | /// Removes from data series all entries whose value on the x-axis is not between min and max |
|
61 | 61 | virtual void purge(double min, double max) = 0; |
|
62 | 62 | |
|
63 | 63 | /// @todo Review the name and signature of this method |
|
64 | 64 | virtual std::shared_ptr<IDataSeries> subDataSeries(const SqpRange &range) = 0; |
|
65 | 65 | |
|
66 | 66 | virtual std::unique_ptr<IDataSeries> clone() const = 0; |
|
67 | ||
|
68 | /// @return the total number of points contained in the data series | |
|
69 | virtual int nbPoints() const = 0; | |
|
70 | ||
|
67 | 71 | virtual SqpRange range() const = 0; |
|
68 | 72 | |
|
69 | 73 | // ///////// // |
|
70 | 74 | // Iterators // |
|
71 | 75 | // ///////// // |
|
72 | 76 | |
|
73 | 77 | virtual DataSeriesIterator cbegin() const = 0; |
|
74 | 78 | virtual DataSeriesIterator cend() const = 0; |
|
75 | 79 | virtual DataSeriesIterator begin() = 0; |
|
76 | 80 | virtual DataSeriesIterator end() = 0; |
|
77 | 81 | |
|
78 | 82 | /// @return the iterator to the first entry of the data series whose x-axis data is greater than |
|
79 | 83 | /// or equal to the value passed in parameter, or the end iterator if there is no matching value |
|
80 | 84 | virtual DataSeriesIterator minXAxisData(double minXAxisData) const = 0; |
|
81 | 85 | |
|
82 | 86 | /// @return the iterator to the last entry of the data series whose x-axis data is less than or |
|
83 | 87 | /// equal to the value passed in parameter, or the end iterator if there is no matching value |
|
84 | 88 | virtual DataSeriesIterator maxXAxisData(double maxXAxisData) const = 0; |
|
85 | 89 | |
|
86 | 90 | /// @return the iterators pointing to the range of data whose x-axis values are between min and |
|
87 | 91 | /// max passed in parameters |
|
88 | 92 | virtual std::pair<DataSeriesIterator, DataSeriesIterator> |
|
89 | 93 | xAxisRange(double minXAxisData, double maxXAxisData) const = 0; |
|
90 | 94 | |
|
91 | 95 | /// @return two iterators pointing to the data that have respectively the min and the max value |
|
92 | 96 | /// data of a data series' range. The search is performed for a given x-axis range. |
|
93 | 97 | /// @sa xAxisRange() |
|
94 | 98 | virtual std::pair<DataSeriesIterator, DataSeriesIterator> |
|
95 | 99 | valuesBounds(double minXAxisData, double maxXAxisData) const = 0; |
|
96 | 100 | |
|
97 | 101 | // /////// // |
|
98 | 102 | // Mutexes // |
|
99 | 103 | // /////// // |
|
100 | 104 | |
|
101 | 105 | virtual void lockRead() = 0; |
|
102 | 106 | virtual void lockWrite() = 0; |
|
103 | 107 | virtual void unlock() = 0; |
|
104 | 108 | }; |
|
105 | 109 | |
|
106 | 110 | // Required for using shared_ptr in signals/slots |
|
107 | 111 | SCIQLOP_REGISTER_META_TYPE(IDATASERIES_PTR_REGISTRY, std::shared_ptr<IDataSeries>) |
|
108 | 112 | |
|
109 | 113 | #endif // SCIQLOP_IDATASERIES_H |
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