@@ -1,41 +1,43 | |||||
1 | #ifndef SCIQLOP_SPECTROGRAMTIMESERIE_H |
|
1 | #ifndef SCIQLOP_SPECTROGRAMTIMESERIE_H | |
2 | #define SCIQLOP_SPECTROGRAMTIMESERIE_H |
|
2 | #define SCIQLOP_SPECTROGRAMTIMESERIE_H | |
3 |
|
3 | |||
4 | #include "CoreGlobal.h" |
|
4 | #include "CoreGlobal.h" | |
5 |
|
5 | |||
6 | #include <TimeSeries.h> |
|
6 | #include <TimeSeries.h> | |
7 | #include <cmath> |
|
7 | #include <cmath> | |
8 |
|
8 | |||
9 | class SCIQLOP_CORE_EXPORT SpectrogramTimeSerie |
|
9 | class SCIQLOP_CORE_EXPORT SpectrogramTimeSerie | |
10 | : public TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2> |
|
10 | : public TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2> | |
11 | { |
|
11 | { | |
12 | public: |
|
12 | public: | |
13 | double min_sampling = std::nan(""); |
|
13 | double min_sampling = std::nan(""); | |
14 | double max_sampling = std::nan(""); |
|
14 | double max_sampling = std::nan(""); | |
|
15 | bool y_is_log = true; | |||
15 | using item_t = |
|
16 | using item_t = | |
16 | decltype(std::declval< |
|
17 | decltype(std::declval< | |
17 | TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>()[0]); |
|
18 | TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>()[0]); | |
18 |
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19 | |||
19 | using iterator_t = decltype( |
|
20 | using iterator_t = decltype( | |
20 | std::declval<TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>() |
|
21 | std::declval<TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>() | |
21 | .begin()); |
|
22 | .begin()); | |
22 |
|
23 | |||
23 | SpectrogramTimeSerie() {} |
|
24 | SpectrogramTimeSerie() {} | |
24 | SpectrogramTimeSerie(SpectrogramTimeSerie::axis_t&& t, |
|
25 | SpectrogramTimeSerie(SpectrogramTimeSerie::axis_t&& t, | |
25 | SpectrogramTimeSerie::axis_t&& y, |
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26 | SpectrogramTimeSerie::axis_t&& y, | |
26 | SpectrogramTimeSerie::container_type< |
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27 | SpectrogramTimeSerie::container_type< | |
27 | SpectrogramTimeSerie::raw_value_type>&& values, |
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28 | SpectrogramTimeSerie::raw_value_type>&& values, | |
28 | std::vector<std::size_t>& shape, double min_sampling, |
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29 | std::vector<std::size_t>& shape, double min_sampling, | |
29 | double max_sampling) |
|
30 | double max_sampling, bool y_is_log = true) | |
30 | : TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>(t, values, |
|
31 | : TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>(t, values, | |
31 | shape), |
|
32 | shape), | |
32 | min_sampling{min_sampling}, max_sampling{max_sampling} |
|
33 | min_sampling{min_sampling}, max_sampling{max_sampling}, y_is_log{ | |
|
34 | y_is_log} | |||
33 | { |
|
35 | { | |
34 | _axes[1] = y; |
|
36 | _axes[1] = y; | |
35 | } |
|
37 | } | |
36 |
|
38 | |||
37 | ~SpectrogramTimeSerie() = default; |
|
39 | ~SpectrogramTimeSerie() = default; | |
38 | using TimeSerie::TimeSerie; |
|
40 | using TimeSerie::TimeSerie; | |
39 | }; |
|
41 | }; | |
40 |
|
42 | |||
41 | #endif // SCIQLOP_SPECTROGRAMTIMESERIE_H |
|
43 | #endif // SCIQLOP_SPECTROGRAMTIMESERIE_H |
@@ -1,302 +1,302 | |||||
1 | #include "CoreWrappers.h" |
|
1 | #include "CoreWrappers.h" | |
2 |
|
2 | |||
3 | #include "pywrappers_common.h" |
|
3 | #include "pywrappers_common.h" | |
4 |
|
4 | |||
5 | #include <Common/debug.h> |
|
5 | #include <Common/debug.h> | |
6 | #include <Data/DataSeriesType.h> |
|
6 | #include <Data/DataSeriesType.h> | |
7 | #include <Data/IDataProvider.h> |
|
7 | #include <Data/IDataProvider.h> | |
8 | #include <Network/Downloader.h> |
|
8 | #include <Network/Downloader.h> | |
9 | #include <Time/TimeController.h> |
|
9 | #include <Time/TimeController.h> | |
10 | #include <Variable/Variable2.h> |
|
10 | #include <Variable/Variable2.h> | |
11 | #include <Variable/VariableController2.h> |
|
11 | #include <Variable/VariableController2.h> | |
12 | #include <pybind11/chrono.h> |
|
12 | #include <pybind11/chrono.h> | |
13 | #include <pybind11/embed.h> |
|
13 | #include <pybind11/embed.h> | |
14 | #include <pybind11/functional.h> |
|
14 | #include <pybind11/functional.h> | |
15 | #include <pybind11/numpy.h> |
|
15 | #include <pybind11/numpy.h> | |
16 | #include <pybind11/operators.h> |
|
16 | #include <pybind11/operators.h> | |
17 | #include <pybind11/pybind11.h> |
|
17 | #include <pybind11/pybind11.h> | |
18 | #include <pybind11/stl.h> |
|
18 | #include <pybind11/stl.h> | |
19 | #include <pybind11/stl_bind.h> |
|
19 | #include <pybind11/stl_bind.h> | |
20 | #include <sstream> |
|
20 | #include <sstream> | |
21 | #include <string> |
|
21 | #include <string> | |
22 |
|
22 | |||
23 | namespace py = pybind11; |
|
23 | namespace py = pybind11; | |
24 | using namespace std::chrono; |
|
24 | using namespace std::chrono; | |
25 |
|
25 | |||
26 | template<typename T, typename U, bool row_major = true> |
|
26 | template<typename T, typename U, bool row_major = true> | |
27 | void copy_vector(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, |
|
27 | void copy_vector(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, | |
28 | U& dest_values) |
|
28 | U& dest_values) | |
29 | { |
|
29 | { | |
30 | auto t_view = t.unchecked<1>(); |
|
30 | auto t_view = t.unchecked<1>(); | |
31 | auto values_view = values.unchecked<2>(); |
|
31 | auto values_view = values.unchecked<2>(); | |
32 | for(std::size_t i = 0; i < t.size(); i++) |
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32 | for(std::size_t i = 0; i < t.size(); i++) | |
33 | { |
|
33 | { | |
34 | dest_t[i] = t_view[i]; |
|
34 | dest_t[i] = t_view[i]; | |
35 | dest_values[i] = {values_view(i, 0), values_view(i, 1), values_view(i, 2)}; |
|
35 | dest_values[i] = {values_view(i, 0), values_view(i, 1), values_view(i, 2)}; | |
36 | } |
|
36 | } | |
37 | } |
|
37 | } | |
38 |
|
38 | |||
39 | template<typename T, typename U> |
|
39 | template<typename T, typename U> | |
40 | void copy_scalar(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, |
|
40 | void copy_scalar(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, | |
41 | U& dest_values) |
|
41 | U& dest_values) | |
42 | { |
|
42 | { | |
43 | auto t_view = t.unchecked<1>(); |
|
43 | auto t_view = t.unchecked<1>(); | |
44 | if(values.ndim() == 1) |
|
44 | if(values.ndim() == 1) | |
45 | { |
|
45 | { | |
46 | auto values_view = values.unchecked<1>(); |
|
46 | auto values_view = values.unchecked<1>(); | |
47 | for(std::size_t i = 0; i < t.size(); i++) |
|
47 | for(std::size_t i = 0; i < t.size(); i++) | |
48 | { |
|
48 | { | |
49 | dest_t[i] = t_view[i]; |
|
49 | dest_t[i] = t_view[i]; | |
50 | dest_values[i] = values_view[i]; |
|
50 | dest_values[i] = values_view[i]; | |
51 | } |
|
51 | } | |
52 | } |
|
52 | } | |
53 | else if(values.ndim() == 2 && values.shape(1) == 1) |
|
53 | else if(values.ndim() == 2 && values.shape(1) == 1) | |
54 | { |
|
54 | { | |
55 | auto values_view = values.unchecked<2>(); |
|
55 | auto values_view = values.unchecked<2>(); | |
56 | for(std::size_t i = 0; i < t.size(); i++) |
|
56 | for(std::size_t i = 0; i < t.size(); i++) | |
57 | { |
|
57 | { | |
58 | dest_t[i] = t_view[i]; |
|
58 | dest_t[i] = t_view[i]; | |
59 | dest_values[i] = values_view(i, 0); |
|
59 | dest_values[i] = values_view(i, 0); | |
60 | } |
|
60 | } | |
61 | } |
|
61 | } | |
62 | } |
|
62 | } | |
63 | template<typename T, typename U> |
|
63 | template<typename T, typename U> | |
64 | void copy_multicomp(py::array_t<double>& t, py::array_t<double>& values, |
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64 | void copy_multicomp(py::array_t<double>& t, py::array_t<double>& values, | |
65 | T& dest_t, U& dest_values) |
|
65 | T& dest_t, U& dest_values) | |
66 | { |
|
66 | { | |
67 | auto t_view = t.unchecked<1>(); |
|
67 | auto t_view = t.unchecked<1>(); | |
68 | auto values_view = values.unchecked<2>(); |
|
68 | auto values_view = values.unchecked<2>(); | |
69 | const auto width = values.shape(1); |
|
69 | const auto width = values.shape(1); | |
70 | for(std::size_t i = 0; i < t.size(); i++) |
|
70 | for(std::size_t i = 0; i < t.size(); i++) | |
71 | { |
|
71 | { | |
72 | dest_t[i] = t_view[i]; |
|
72 | dest_t[i] = t_view[i]; | |
73 | for(int j = 0; j < width; j++) |
|
73 | for(int j = 0; j < width; j++) | |
74 | { |
|
74 | { | |
75 | dest_values[i * width + j] = values_view(i, j); |
|
75 | dest_values[i * width + j] = values_view(i, j); | |
76 | } |
|
76 | } | |
77 | } |
|
77 | } | |
78 | } |
|
78 | } | |
79 |
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79 | |||
80 | template<typename T, typename U> |
|
80 | template<typename T, typename U> | |
81 | void copy_spectro(py::array_t<double>& t, py::array_t<double>& y, |
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81 | void copy_spectro(py::array_t<double>& t, py::array_t<double>& y, | |
82 | py::array_t<double>& values, T& dest_t, T& dest_y, |
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82 | py::array_t<double>& values, T& dest_t, T& dest_y, | |
83 | U& dest_values) |
|
83 | U& dest_values) | |
84 | { |
|
84 | { | |
85 | auto t_view = t.unchecked<1>(); |
|
85 | auto t_view = t.unchecked<1>(); | |
86 | auto y_view = y.unchecked<1>(); |
|
86 | auto y_view = y.unchecked<1>(); | |
87 | auto values_view = values.unchecked<2>(); |
|
87 | auto values_view = values.unchecked<2>(); | |
88 | const auto width = values.shape(1); |
|
88 | const auto width = values.shape(1); | |
89 | for(std::size_t i = 0; i < y.size(); i++) |
|
89 | for(std::size_t i = 0; i < y.size(); i++) | |
90 | { |
|
90 | { | |
91 | dest_y[i] = y_view[i]; |
|
91 | dest_y[i] = y_view[i]; | |
92 | } |
|
92 | } | |
93 | for(std::size_t i = 0; i < t.size(); i++) |
|
93 | for(std::size_t i = 0; i < t.size(); i++) | |
94 | { |
|
94 | { | |
95 | dest_t[i] = t_view[i]; |
|
95 | dest_t[i] = t_view[i]; | |
96 | for(int j = 0; j < width; j++) |
|
96 | for(int j = 0; j < width; j++) | |
97 | { |
|
97 | { | |
98 | dest_values[i * width + j] = values_view(i, j); |
|
98 | dest_values[i * width + j] = values_view(i, j); | |
99 | } |
|
99 | } | |
100 | } |
|
100 | } | |
101 | } |
|
101 | } | |
102 |
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102 | |||
103 | PYBIND11_MODULE(pysciqlopcore, m) |
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103 | PYBIND11_MODULE(pysciqlopcore, m) | |
104 | { |
|
104 | { | |
105 | pybind11::bind_vector<std::vector<double>>(m, "VectorDouble"); |
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105 | pybind11::bind_vector<std::vector<double>>(m, "VectorDouble"); | |
106 |
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106 | |||
107 | py::enum_<DataSeriesType>(m, "DataSeriesType") |
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107 | py::enum_<DataSeriesType>(m, "DataSeriesType") | |
108 | .value("SCALAR", DataSeriesType::SCALAR) |
|
108 | .value("SCALAR", DataSeriesType::SCALAR) | |
109 | .value("SPECTROGRAM", DataSeriesType::SPECTROGRAM) |
|
109 | .value("SPECTROGRAM", DataSeriesType::SPECTROGRAM) | |
110 | .value("VECTOR", DataSeriesType::VECTOR) |
|
110 | .value("VECTOR", DataSeriesType::VECTOR) | |
111 | .value("MULTICOMPONENT", DataSeriesType::MULTICOMPONENT) |
|
111 | .value("MULTICOMPONENT", DataSeriesType::MULTICOMPONENT) | |
112 | .value("NONE", DataSeriesType::NONE) |
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112 | .value("NONE", DataSeriesType::NONE) | |
113 | .export_values(); |
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113 | .export_values(); | |
114 |
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114 | |||
115 | py::class_<Response>(m, "Response") |
|
115 | py::class_<Response>(m, "Response") | |
116 | .def("status_code", &Response::status_code); |
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116 | .def("status_code", &Response::status_code); | |
117 |
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117 | |||
118 | py::class_<Downloader>(m, "Downloader") |
|
118 | py::class_<Downloader>(m, "Downloader") | |
119 | .def_static("get", Downloader::get) |
|
119 | .def_static("get", Downloader::get) | |
120 | .def_static("getAsync", Downloader::getAsync) |
|
120 | .def_static("getAsync", Downloader::getAsync) | |
121 | .def_static("downloadFinished", Downloader::downloadFinished); |
|
121 | .def_static("downloadFinished", Downloader::downloadFinished); | |
122 |
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122 | |||
123 | py::class_<IDataProvider, std::shared_ptr<IDataProvider>>(m, "IDataProvider"); |
|
123 | py::class_<IDataProvider, std::shared_ptr<IDataProvider>>(m, "IDataProvider"); | |
124 |
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124 | |||
125 | py::class_<TimeSeries::ITimeSerie, std::shared_ptr<TimeSeries::ITimeSerie>>( |
|
125 | py::class_<TimeSeries::ITimeSerie, std::shared_ptr<TimeSeries::ITimeSerie>>( | |
126 | m, "ITimeSerie") |
|
126 | m, "ITimeSerie") | |
127 | .def_property_readonly( |
|
127 | .def_property_readonly( | |
128 | "size", [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) |
|
128 | "size", [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) | |
129 | .def("__len__", |
|
129 | .def("__len__", | |
130 | [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) |
|
130 | [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) | |
131 | .def_property_readonly( |
|
131 | .def_property_readonly( | |
132 | "shape", [](const TimeSeries::ITimeSerie& ts) { return ts.shape(); }) |
|
132 | "shape", [](const TimeSeries::ITimeSerie& ts) { return ts.shape(); }) | |
133 | .def_property_readonly( |
|
133 | .def_property_readonly( | |
134 | "t", |
|
134 | "t", | |
135 | [](TimeSeries::ITimeSerie& ts) -> decltype(ts.axis(0))& { |
|
135 | [](TimeSeries::ITimeSerie& ts) -> decltype(ts.axis(0))& { | |
136 | return ts.axis(0); |
|
136 | return ts.axis(0); | |
137 | }, |
|
137 | }, | |
138 | py::return_value_policy::reference) |
|
138 | py::return_value_policy::reference) | |
139 | .def( |
|
139 | .def( | |
140 | "axis", |
|
140 | "axis", | |
141 | [](TimeSeries::ITimeSerie& ts, unsigned int index) |
|
141 | [](TimeSeries::ITimeSerie& ts, unsigned int index) | |
142 | -> decltype(ts.axis(0))& { return ts.axis(index); }, |
|
142 | -> decltype(ts.axis(0))& { return ts.axis(index); }, | |
143 | py::return_value_policy::reference); |
|
143 | py::return_value_policy::reference); | |
144 |
|
144 | |||
145 | py::class_<ScalarTimeSerie, TimeSeries::ITimeSerie, |
|
145 | py::class_<ScalarTimeSerie, TimeSeries::ITimeSerie, | |
146 | std::shared_ptr<ScalarTimeSerie>>(m, "ScalarTimeSerie") |
|
146 | std::shared_ptr<ScalarTimeSerie>>(m, "ScalarTimeSerie") | |
147 | .def(py::init<>()) |
|
147 | .def(py::init<>()) | |
148 | .def(py::init<std::size_t>()) |
|
148 | .def(py::init<std::size_t>()) | |
149 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
|
149 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { | |
150 | assert(t.size() == values.size()); |
|
150 | assert(t.size() == values.size()); | |
151 | ScalarTimeSerie::axis_t _t(t.size()); |
|
151 | ScalarTimeSerie::axis_t _t(t.size()); | |
152 | ScalarTimeSerie::axis_t _values(t.size()); |
|
152 | ScalarTimeSerie::axis_t _values(t.size()); | |
153 | copy_scalar(t, values, _t, _values); |
|
153 | copy_scalar(t, values, _t, _values); | |
154 | return ScalarTimeSerie(_t, _values); |
|
154 | return ScalarTimeSerie(_t, _values); | |
155 | })) |
|
155 | })) | |
156 | .def("__getitem__", |
|
156 | .def("__getitem__", | |
157 | [](ScalarTimeSerie& ts, std::size_t key) { return ts[key]; }) |
|
157 | [](ScalarTimeSerie& ts, std::size_t key) { return ts[key]; }) | |
158 | .def("__setitem__", [](ScalarTimeSerie& ts, std::size_t key, |
|
158 | .def("__setitem__", [](ScalarTimeSerie& ts, std::size_t key, | |
159 | double value) { *(ts.begin() + key) = value; }); |
|
159 | double value) { *(ts.begin() + key) = value; }); | |
160 |
|
160 | |||
161 | py::class_<VectorTimeSerie::raw_value_type>(m, "vector") |
|
161 | py::class_<VectorTimeSerie::raw_value_type>(m, "vector") | |
162 | .def(py::init<>()) |
|
162 | .def(py::init<>()) | |
163 | .def(py::init<double, double, double>()) |
|
163 | .def(py::init<double, double, double>()) | |
164 | .def("__repr__", __repr__<VectorTimeSerie::raw_value_type>) |
|
164 | .def("__repr__", __repr__<VectorTimeSerie::raw_value_type>) | |
165 | .def_readwrite("x", &VectorTimeSerie::raw_value_type::x) |
|
165 | .def_readwrite("x", &VectorTimeSerie::raw_value_type::x) | |
166 | .def_readwrite("y", &VectorTimeSerie::raw_value_type::y) |
|
166 | .def_readwrite("y", &VectorTimeSerie::raw_value_type::y) | |
167 | .def_readwrite("z", &VectorTimeSerie::raw_value_type::z); |
|
167 | .def_readwrite("z", &VectorTimeSerie::raw_value_type::z); | |
168 |
|
168 | |||
169 | py::class_<VectorTimeSerie, TimeSeries::ITimeSerie, |
|
169 | py::class_<VectorTimeSerie, TimeSeries::ITimeSerie, | |
170 | std::shared_ptr<VectorTimeSerie>>(m, "VectorTimeSerie") |
|
170 | std::shared_ptr<VectorTimeSerie>>(m, "VectorTimeSerie") | |
171 | .def(py::init<>()) |
|
171 | .def(py::init<>()) | |
172 | .def(py::init<std::size_t>()) |
|
172 | .def(py::init<std::size_t>()) | |
173 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
|
173 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { | |
174 | assert(t.size() * 3 == values.size()); |
|
174 | assert(t.size() * 3 == values.size()); | |
175 | VectorTimeSerie::axis_t _t(t.size()); |
|
175 | VectorTimeSerie::axis_t _t(t.size()); | |
176 | VectorTimeSerie::container_type<VectorTimeSerie::raw_value_type> |
|
176 | VectorTimeSerie::container_type<VectorTimeSerie::raw_value_type> | |
177 | _values(t.size()); |
|
177 | _values(t.size()); | |
178 | copy_vector(t, values, _t, _values); |
|
178 | copy_vector(t, values, _t, _values); | |
179 | return VectorTimeSerie(_t, _values); |
|
179 | return VectorTimeSerie(_t, _values); | |
180 | })) |
|
180 | })) | |
181 | .def( |
|
181 | .def( | |
182 | "__getitem__", |
|
182 | "__getitem__", | |
183 | [](VectorTimeSerie& ts, std::size_t key) |
|
183 | [](VectorTimeSerie& ts, std::size_t key) | |
184 | -> VectorTimeSerie::raw_value_type& { return ts[key]; }, |
|
184 | -> VectorTimeSerie::raw_value_type& { return ts[key]; }, | |
185 | py::return_value_policy::reference) |
|
185 | py::return_value_policy::reference) | |
186 | .def("__setitem__", [](VectorTimeSerie& ts, std::size_t key, |
|
186 | .def("__setitem__", [](VectorTimeSerie& ts, std::size_t key, | |
187 | VectorTimeSerie::raw_value_type value) { |
|
187 | VectorTimeSerie::raw_value_type value) { | |
188 | *(ts.begin() + key) = value; |
|
188 | *(ts.begin() + key) = value; | |
189 | }); |
|
189 | }); | |
190 |
|
190 | |||
191 | py::class_<MultiComponentTimeSerie::iterator_t>(m, |
|
191 | py::class_<MultiComponentTimeSerie::iterator_t>(m, | |
192 | "MultiComponentTimeSerieItem") |
|
192 | "MultiComponentTimeSerieItem") | |
193 | .def("__getitem__", [](MultiComponentTimeSerie::iterator_t& self, |
|
193 | .def("__getitem__", [](MultiComponentTimeSerie::iterator_t& self, | |
194 | std::size_t key) { return (*self)[key]; }) |
|
194 | std::size_t key) { return (*self)[key]; }) | |
195 | .def("__setitem__", |
|
195 | .def("__setitem__", | |
196 | [](MultiComponentTimeSerie::iterator_t& self, std::size_t key, |
|
196 | [](MultiComponentTimeSerie::iterator_t& self, std::size_t key, | |
197 | double value) { (*self)[key] = value; }); |
|
197 | double value) { (*self)[key] = value; }); | |
198 |
|
198 | |||
199 | py::class_<MultiComponentTimeSerie, TimeSeries::ITimeSerie, |
|
199 | py::class_<MultiComponentTimeSerie, TimeSeries::ITimeSerie, | |
200 | std::shared_ptr<MultiComponentTimeSerie>>( |
|
200 | std::shared_ptr<MultiComponentTimeSerie>>( | |
201 | m, "MultiComponentTimeSerie") |
|
201 | m, "MultiComponentTimeSerie") | |
202 | .def(py::init<>()) |
|
202 | .def(py::init<>()) | |
203 | .def(py::init<const std::vector<std::size_t>>()) |
|
203 | .def(py::init<const std::vector<std::size_t>>()) | |
204 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
|
204 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { | |
205 | assert((t.size() < values.size()) | |
|
205 | assert((t.size() < values.size()) | | |
206 | (t.size() == 0)); // TODO check geometry |
|
206 | (t.size() == 0)); // TODO check geometry | |
207 | MultiComponentTimeSerie::axis_t _t(t.size()); |
|
207 | MultiComponentTimeSerie::axis_t _t(t.size()); | |
208 | MultiComponentTimeSerie::container_type< |
|
208 | MultiComponentTimeSerie::container_type< | |
209 | MultiComponentTimeSerie::raw_value_type> |
|
209 | MultiComponentTimeSerie::raw_value_type> | |
210 | _values(values.size()); |
|
210 | _values(values.size()); | |
211 | copy_multicomp(t, values, _t, _values); |
|
211 | copy_multicomp(t, values, _t, _values); | |
212 | std::vector<std::size_t> shape; |
|
212 | std::vector<std::size_t> shape; | |
213 | shape.push_back(values.shape(0)); |
|
213 | shape.push_back(values.shape(0)); | |
214 | shape.push_back(values.shape(1)); |
|
214 | shape.push_back(values.shape(1)); | |
215 | return MultiComponentTimeSerie(_t, _values, shape); |
|
215 | return MultiComponentTimeSerie(_t, _values, shape); | |
216 | })) |
|
216 | })) | |
217 | .def("__getitem__", |
|
217 | .def("__getitem__", | |
218 | [](MultiComponentTimeSerie& ts, |
|
218 | [](MultiComponentTimeSerie& ts, | |
219 | std::size_t key) -> MultiComponentTimeSerie::iterator_t { |
|
219 | std::size_t key) -> MultiComponentTimeSerie::iterator_t { | |
220 | return ts.begin() + key; |
|
220 | return ts.begin() + key; | |
221 | }); |
|
221 | }); | |
222 |
|
222 | |||
223 | py::class_<SpectrogramTimeSerie::iterator_t>(m, "SpectrogramTimeSerieItem") |
|
223 | py::class_<SpectrogramTimeSerie::iterator_t>(m, "SpectrogramTimeSerieItem") | |
224 | .def("__getitem__", [](SpectrogramTimeSerie::iterator_t& self, |
|
224 | .def("__getitem__", [](SpectrogramTimeSerie::iterator_t& self, | |
225 | std::size_t key) { return (*self)[key]; }) |
|
225 | std::size_t key) { return (*self)[key]; }) | |
226 | .def("__setitem__", |
|
226 | .def("__setitem__", | |
227 | [](SpectrogramTimeSerie::iterator_t& self, std::size_t key, |
|
227 | [](SpectrogramTimeSerie::iterator_t& self, std::size_t key, | |
228 | double value) { (*self)[key] = value; }); |
|
228 | double value) { (*self)[key] = value; }); | |
229 |
|
229 | |||
230 | py::class_<SpectrogramTimeSerie, TimeSeries::ITimeSerie, |
|
230 | py::class_<SpectrogramTimeSerie, TimeSeries::ITimeSerie, | |
231 | std::shared_ptr<SpectrogramTimeSerie>>(m, "SpectrogramTimeSerie") |
|
231 | std::shared_ptr<SpectrogramTimeSerie>>(m, "SpectrogramTimeSerie") | |
232 | .def(py::init<>()) |
|
232 | .def(py::init<>()) | |
233 | .def(py::init<const std::vector<std::size_t>>()) |
|
233 | .def(py::init<const std::vector<std::size_t>>()) | |
234 | .def(py::init([](py::array_t<double> t, py::array_t<double> y, |
|
234 | .def(py::init([](py::array_t<double> t, py::array_t<double> y, | |
235 | py::array_t<double> values, double min_sampling, |
|
235 | py::array_t<double> values, double min_sampling, | |
236 | double max_sampling) { |
|
236 | double max_sampling, bool y_is_log) { | |
237 | if(t.size() >= values.size() and t.size() != 0) |
|
237 | if(t.size() >= values.size() and t.size() != 0) | |
238 | SCIQLOP_ERROR(decltype(py::self), "Doesn't look like a Spectrogram"); |
|
238 | SCIQLOP_ERROR(decltype(py::self), "Doesn't look like a Spectrogram"); | |
239 | if(y.size() != values.shape(1)) |
|
239 | if(y.size() != values.shape(1)) | |
240 | SCIQLOP_ERROR(decltype(py::self), |
|
240 | SCIQLOP_ERROR(decltype(py::self), | |
241 | "Y axis size and data shape are incompatible"); |
|
241 | "Y axis size and data shape are incompatible"); | |
242 | SpectrogramTimeSerie::axis_t _t(t.size()); |
|
242 | SpectrogramTimeSerie::axis_t _t(t.size()); | |
243 | SpectrogramTimeSerie::axis_t _y(y.size()); |
|
243 | SpectrogramTimeSerie::axis_t _y(y.size()); | |
244 | SpectrogramTimeSerie::container_type< |
|
244 | SpectrogramTimeSerie::container_type< | |
245 | SpectrogramTimeSerie::raw_value_type> |
|
245 | SpectrogramTimeSerie::raw_value_type> | |
246 | _values(values.size()); |
|
246 | _values(values.size()); | |
247 | copy_spectro(t, y, values, _t, _y, _values); |
|
247 | copy_spectro(t, y, values, _t, _y, _values); | |
248 | std::vector<std::size_t> shape; |
|
248 | std::vector<std::size_t> shape; | |
249 | shape.push_back(values.shape(0)); |
|
249 | shape.push_back(values.shape(0)); | |
250 | shape.push_back(values.shape(1)); |
|
250 | shape.push_back(values.shape(1)); | |
251 | return SpectrogramTimeSerie(std::move(_t), std::move(_y), |
|
251 | return SpectrogramTimeSerie(std::move(_t), std::move(_y), | |
252 | std::move(_values), shape, min_sampling, |
|
252 | std::move(_values), shape, min_sampling, | |
253 | max_sampling); |
|
253 | max_sampling, y_is_log); | |
254 | })) |
|
254 | })) | |
255 | .def("__getitem__", |
|
255 | .def("__getitem__", | |
256 | [](SpectrogramTimeSerie& ts, |
|
256 | [](SpectrogramTimeSerie& ts, | |
257 | std::size_t key) -> SpectrogramTimeSerie::iterator_t { |
|
257 | std::size_t key) -> SpectrogramTimeSerie::iterator_t { | |
258 | return ts.begin() + key; |
|
258 | return ts.begin() + key; | |
259 | }); |
|
259 | }); | |
260 |
|
260 | |||
261 | py::class_<Variable2, std::shared_ptr<Variable2>>(m, "Variable2") |
|
261 | py::class_<Variable2, std::shared_ptr<Variable2>>(m, "Variable2") | |
262 | .def(py::init<const QString&>()) |
|
262 | .def(py::init<const QString&>()) | |
263 | .def_property("name", &Variable2::name, &Variable2::setName) |
|
263 | .def_property("name", &Variable2::name, &Variable2::setName) | |
264 | .def_property_readonly("range", &Variable2::range) |
|
264 | .def_property_readonly("range", &Variable2::range) | |
265 | .def_property_readonly("nbPoints", &Variable2::nbPoints) |
|
265 | .def_property_readonly("nbPoints", &Variable2::nbPoints) | |
266 | .def_property_readonly( |
|
266 | .def_property_readonly( | |
267 | "data", |
|
267 | "data", | |
268 | [](Variable2& var) -> std::shared_ptr<TimeSeries::ITimeSerie> { |
|
268 | [](Variable2& var) -> std::shared_ptr<TimeSeries::ITimeSerie> { | |
269 | return var.data(); |
|
269 | return var.data(); | |
270 | }) |
|
270 | }) | |
271 | .def("set_data", |
|
271 | .def("set_data", | |
272 | [](Variable2& var, std::vector<TimeSeries::ITimeSerie*> ts_list, |
|
272 | [](Variable2& var, std::vector<TimeSeries::ITimeSerie*> ts_list, | |
273 | const DateTimeRange& range) { var.setData(ts_list, range); }) |
|
273 | const DateTimeRange& range) { var.setData(ts_list, range); }) | |
274 | .def("__len__", &Variable2::nbPoints) |
|
274 | .def("__len__", &Variable2::nbPoints) | |
275 | .def("__repr__", __repr__<Variable2>); |
|
275 | .def("__repr__", __repr__<Variable2>); | |
276 |
|
276 | |||
277 | py::class_<DateTimeRange>(m, "SqpRange") |
|
277 | py::class_<DateTimeRange>(m, "SqpRange") | |
278 | //.def("fromDateTime", &DateTimeRange::fromDateTime, |
|
278 | //.def("fromDateTime", &DateTimeRange::fromDateTime, | |
279 | // py::return_value_policy::move) |
|
279 | // py::return_value_policy::move) | |
280 | .def(py::init([](double start, double stop) { |
|
280 | .def(py::init([](double start, double stop) { | |
281 | return DateTimeRange{start, stop}; |
|
281 | return DateTimeRange{start, stop}; | |
282 | })) |
|
282 | })) | |
283 | .def(py::init( |
|
283 | .def(py::init( | |
284 | [](system_clock::time_point start, system_clock::time_point stop) { |
|
284 | [](system_clock::time_point start, system_clock::time_point stop) { | |
285 | double start_ = |
|
285 | double start_ = | |
286 | 0.001 * |
|
286 | 0.001 * | |
287 | duration_cast<milliseconds>(start.time_since_epoch()).count(); |
|
287 | duration_cast<milliseconds>(start.time_since_epoch()).count(); | |
288 | double stop_ = |
|
288 | double stop_ = | |
289 | 0.001 * |
|
289 | 0.001 * | |
290 | duration_cast<milliseconds>(stop.time_since_epoch()).count(); |
|
290 | duration_cast<milliseconds>(stop.time_since_epoch()).count(); | |
291 | return DateTimeRange{start_, stop_}; |
|
291 | return DateTimeRange{start_, stop_}; | |
292 | })) |
|
292 | })) | |
293 | .def_property_readonly("start", |
|
293 | .def_property_readonly("start", | |
294 | [](const DateTimeRange& range) { |
|
294 | [](const DateTimeRange& range) { | |
295 | return system_clock::from_time_t(range.m_TStart); |
|
295 | return system_clock::from_time_t(range.m_TStart); | |
296 | }) |
|
296 | }) | |
297 | .def_property_readonly("stop", |
|
297 | .def_property_readonly("stop", | |
298 | [](const DateTimeRange& range) { |
|
298 | [](const DateTimeRange& range) { | |
299 | return system_clock::from_time_t(range.m_TEnd); |
|
299 | return system_clock::from_time_t(range.m_TEnd); | |
300 | }) |
|
300 | }) | |
301 | .def("__repr__", __repr__<DateTimeRange>); |
|
301 | .def("__repr__", __repr__<DateTimeRange>); | |
302 | } |
|
302 | } |
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