@@ -1,32 +1,33 | |||
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1 | 1 | #!/usr/bin/env python3 |
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2 | 2 | |
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3 | 3 | from dumper import * |
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4 | 4 | |
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5 | 5 | import sys |
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6 | 6 | import os |
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7 | 7 | import numpy as np |
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8 | 8 | import datetime |
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9 | 9 | import time |
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10 | 10 | |
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11 | 11 | |
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12 | 12 | def qdump__DateTimeRange(d , value): |
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13 | 13 | """ |
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14 | 14 | |
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15 | 15 | :param d: DumperBase |
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16 | 16 | :param value: Value |
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17 | 17 | """ |
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18 | 18 | tstart = datetime.datetime.utcfromtimestamp(value['m_TStart'].to('d')) |
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19 | 19 | tstop = datetime.datetime.utcfromtimestamp(value['m_TEnd'].to('d')) |
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20 | 20 | delta = str(tstop - tstart) |
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21 | 21 | tstart, tstop = str(tstart), str(tstop) |
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22 | 22 | |
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23 | 23 | d.putValue(tstart + ' : ' + tstop) |
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24 | 24 | d.putNumChild(3) |
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25 | 25 | if d.isExpanded(): |
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26 | 26 | with Children(d, 3): |
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27 | 27 | with SubItem(d, "start"): |
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28 | 28 | d.putValue(tstart) |
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29 | 29 | with SubItem(d, "stop"): |
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30 | 30 | d.putValue(tstop) |
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31 | 31 | with SubItem(d, "delta"): |
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32 | 32 | d.putValue(delta) |
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33 |
@@ -1,1 +1,1 | |||
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1 | Subproject commit f5f4debc597b41ab1849dfc02b6e092bf58c32d2 | |
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1 | Subproject commit 22e3e4553178230053aac40131b4fdb36c163075 |
@@ -1,29 +1,37 | |||
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1 | 1 | #ifndef CPP_UTILS_H |
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2 | 2 | #define CPP_UTILS_H |
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3 | 3 | |
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4 | #include <functional> | |
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5 | #include <tuple> | |
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4 | 6 | #include <type_traits> |
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5 | 7 | |
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6 |
template< |
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7 | using void_t = void; | |
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8 | template<class...> using void_t = void; | |
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8 | 9 | |
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9 | #define HAS_METHOD(method)\ | |
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10 | template <class T, class=void>\ | |
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11 | struct _has_##method : std::false_type{};\ | |
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12 | \ | |
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13 | template <class T>\ | |
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14 | struct _has_##method<T, void_t<std::is_member_function_pointer<decltype(&T::method)>>>\ | |
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15 | : std::true_type{};\ | |
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16 | \ | |
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17 | template< class T>\ | |
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18 | static inline constexpr bool has_##method = _has_##method<T>::value; | |
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10 | #define HAS_METHOD(method) \ | |
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11 | template<class T, class = void> struct _has_##method : std::false_type \ | |
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12 | {}; \ | |
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13 | \ | |
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14 | template<class T> \ | |
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15 | struct _has_##method< \ | |
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16 | T, void_t<std::is_member_function_pointer<decltype(&T::method)>>> \ | |
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17 | : std::true_type \ | |
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18 | {}; \ | |
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19 | \ | |
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20 | template<class T> \ | |
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21 | static inline constexpr bool has_##method = _has_##method<T>::value; | |
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19 | 22 | |
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20 | //taken from here https://www.fluentcpp.com/2017/10/27/function-aliases-cpp/ | |
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21 |
#define ALIAS_TEMPLATE_FUNCTION(highLevelF, lowLevelF) |
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22 |
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23 | inline auto highLevelF(Args &&... args)->decltype(lowLevelF(std::forward<Args>(args)...)) \ | |
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24 | { \ | |
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25 |
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26 | } | |
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23 | // taken from here https://www.fluentcpp.com/2017/10/27/function-aliases-cpp/ | |
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24 | #define ALIAS_TEMPLATE_FUNCTION(highLevelF, lowLevelF) \ | |
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25 | template<typename... Args> \ | |
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26 | inline auto highLevelF(Args&&... args) \ | |
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27 | ->decltype(lowLevelF(std::forward<Args>(args)...)) \ | |
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28 | { \ | |
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29 | return lowLevelF(std::forward<Args>(args)...); \ | |
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30 | } | |
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27 | 31 | |
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32 | template<typename T> constexpr T diff(const std::pair<T, T>& p) | |
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33 | { | |
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34 | return p.second - p.first; | |
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35 | } | |
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28 | 36 | |
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29 | 37 | #endif // CPP_UTILS_H |
@@ -1,35 +1,35 | |||
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1 | 1 | #ifndef SCIQLOP_SPECTROGRAMTIMESERIE_H |
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2 | 2 | #define SCIQLOP_SPECTROGRAMTIMESERIE_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 <TimeSeries.h> |
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7 | 7 | |
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8 | 8 | class SCIQLOP_CORE_EXPORT SpectrogramTimeSerie |
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9 | 9 | : public TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2> |
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10 | 10 | { |
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11 | 11 | public: |
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12 | 12 | using item_t = |
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13 | 13 | decltype(std::declval< |
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14 | 14 | TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>()[0]); |
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15 | 15 | |
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16 | 16 | using iterator_t = decltype( |
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17 | 17 | std::declval<TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>>() |
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18 | 18 | .begin()); |
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19 | 19 | |
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20 | 20 | SpectrogramTimeSerie() {} |
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21 | SpectrogramTimeSerie(SpectrogramTimeSerie::axis_t& t, | |
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22 | SpectrogramTimeSerie::axis_t& y, | |
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21 | SpectrogramTimeSerie(SpectrogramTimeSerie::axis_t&& t, | |
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22 | SpectrogramTimeSerie::axis_t&& y, | |
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23 | 23 | SpectrogramTimeSerie::container_type< |
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24 | SpectrogramTimeSerie::raw_value_type>& values, | |
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24 | SpectrogramTimeSerie::raw_value_type>&& values, | |
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25 | 25 | std::vector<std::size_t>& shape) |
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26 | 26 | : TimeSeries::TimeSerie<double, SpectrogramTimeSerie, 2>(t, values, shape) |
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27 | 27 | { |
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28 | 28 | _axes[1] = y; |
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29 | 29 | } |
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30 | 30 | |
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31 | 31 | ~SpectrogramTimeSerie() = default; |
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32 | 32 | using TimeSerie::TimeSerie; |
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33 | 33 | }; |
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34 | 34 | |
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35 | 35 | #endif // SCIQLOP_SPECTROGRAMTIMESERIE_H |
@@ -1,41 +1,83 | |||
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1 | 1 | #ifndef TIMESERIESUTILS_H |
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2 | 2 | #define TIMESERIESUTILS_H |
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3 | 3 | #include "MultiComponentTimeSerie.h" |
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4 | 4 | #include "ScalarTimeSerie.h" |
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5 | 5 | #include "SpectrogramTimeSerie.h" |
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6 | 6 | #include "VectorTimeSerie.h" |
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7 | 7 | |
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8 | 8 | #include <TimeSeries.h> |
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9 | #include <cmath> | |
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9 | 10 | #include <memory> |
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10 | 11 | |
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11 | 12 | namespace TimeSeriesUtils |
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12 | 13 | { |
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13 | 14 | template<typename T> TimeSeries::ITimeSerie* copy(T input_ts) |
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14 | 15 | { |
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15 | 16 | if constexpr(std::is_base_of_v<TimeSeries::ITimeSerie, T>) |
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16 | 17 | { |
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17 | 18 | if(auto ts = dynamic_cast<VectorTimeSerie*>(input_ts)) |
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18 | 19 | { return new VectorTimeSerie(*ts); } |
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19 | 20 | if(auto ts = dynamic_cast<ScalarTimeSerie*>(input_ts)) |
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20 | 21 | { return new ScalarTimeSerie(*ts); } |
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21 | 22 | if(auto ts = dynamic_cast<MultiComponentTimeSerie*>(input_ts)) |
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22 | 23 | { return new MultiComponentTimeSerie(*ts); } |
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23 | 24 | if(auto ts = dynamic_cast<SpectrogramTimeSerie*>(input_ts)) |
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24 | 25 | { return new SpectrogramTimeSerie(*ts); } |
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25 | 26 | } |
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26 | 27 | else |
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27 | 28 | { |
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28 | 29 | if(auto ts = std::dynamic_pointer_cast<VectorTimeSerie>(input_ts)) |
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29 | 30 | { return new VectorTimeSerie(*ts); } |
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30 | 31 | if(auto ts = std::dynamic_pointer_cast<ScalarTimeSerie>(input_ts)) |
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31 | 32 | { return new ScalarTimeSerie(*ts); } |
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32 | 33 | if(auto ts = std::dynamic_pointer_cast<SpectrogramTimeSerie>(input_ts)) |
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33 | 34 | { return new SpectrogramTimeSerie(*ts); } |
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34 | 35 | if(auto ts = std::dynamic_pointer_cast<MultiComponentTimeSerie>(input_ts)) |
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35 | 36 | { return new MultiComponentTimeSerie(*ts); } |
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36 | 37 | } |
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37 | 38 | return nullptr; |
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38 | 39 | } |
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40 | ||
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41 | struct axis_properties | |
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42 | { | |
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43 | double range; | |
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44 | double max_resolution; | |
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45 | bool is_log; | |
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46 | }; | |
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47 | ||
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48 | constexpr auto IsLog = true; | |
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49 | constexpr auto IsLinear = false; | |
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50 | ||
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51 | constexpr auto CheckMedian = true; | |
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52 | constexpr auto DontCheckMedian = false; | |
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53 | ||
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54 | template<bool is_log, bool check_median> | |
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55 | axis_properties axis_analysis( | |
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56 | typename std::conditional<is_log, std::vector<double>&, | |
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57 | const std::vector<double>&>::type axis) | |
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58 | { | |
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59 | std::vector<double> axis_diff(axis.size()); | |
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60 | if constexpr(is_log) | |
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61 | { | |
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62 | std::transform(std::cbegin(axis), std::cend(axis), std::begin(axis), | |
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63 | [](const auto v) { return std::log10(v); }); | |
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64 | } | |
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65 | auto range = *(std::cend(axis) - 1) - *(std::begin(axis)); | |
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66 | std::adjacent_difference(std::cbegin(axis), std::cend(axis), | |
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67 | std::begin(axis_diff)); | |
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68 | auto min_diff = | |
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69 | (*std::min_element(std::cbegin(axis_diff) + 1, std::cend(axis_diff))); | |
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70 | if constexpr(check_median) | |
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71 | { | |
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72 | std::nth_element(std::begin(axis_diff) + 1, | |
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73 | std::begin(axis_diff) + axis_diff.size() / 2, | |
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74 | std::end(axis_diff)); | |
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75 | auto median_diff = *(std::begin(axis_diff) + axis_diff.size() / 2); | |
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76 | if(median_diff > (4 * min_diff)) min_diff = median_diff; | |
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77 | } | |
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78 | return {range, min_diff, is_log}; | |
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79 | } | |
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80 | ||
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39 | 81 | } // namespace TimeSeriesUtils |
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40 | 82 | |
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41 | 83 | #endif |
@@ -1,226 +1,236 | |||
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1 | 1 | #include "Variable/Variable2.h" |
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2 | 2 | |
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3 | 3 | #define PROPERTY_(property, getter, setter, type) \ |
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4 | 4 | type getter() noexcept \ |
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5 | 5 | { \ |
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6 | 6 | QReadLocker lock{&m_Lock}; \ |
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7 | 7 | return property; \ |
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8 | 8 | } \ |
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9 | 9 | void setter(const type& getter) noexcept \ |
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10 | 10 | { \ |
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11 | 11 | QWriteLocker lock{&m_Lock}; \ |
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12 | 12 | property = getter; \ |
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13 | 13 | } \ |
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14 | 14 | type property; |
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15 | 15 | |
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16 | 16 | #define V_FW_GETTER_SETTER(getter, setter, type) \ |
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17 | 17 | type Variable2::getter() \ |
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18 | 18 | { \ |
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19 | 19 | QReadLocker lock{&this->m_lock}; \ |
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20 | 20 | return impl->getter(); \ |
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21 | 21 | } \ |
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22 | 22 | void Variable2::setter(const type& value) \ |
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23 | 23 | { \ |
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24 | 24 | { \ |
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25 | 25 | QWriteLocker lock{&this->m_lock}; \ |
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26 | 26 | impl->setter(value); \ |
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27 | 27 | } \ |
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28 | 28 | emit updated(this->ID()); \ |
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29 | 29 | } |
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30 | 30 | |
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31 | 31 | static DataSeriesType findDataSeriesType(const QVariantHash& metadata) |
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32 | 32 | { |
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33 | 33 | auto dataSeriesType = DataSeriesType::NONE; |
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34 | 34 | |
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35 | 35 | // Go through the metadata and stop at the first value that could be converted |
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36 | 36 | // to DataSeriesType |
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37 | 37 | for(auto it = metadata.cbegin(), end = metadata.cend(); |
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38 | 38 | it != end && dataSeriesType == DataSeriesType::NONE; ++it) |
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39 | 39 | { |
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40 | 40 | dataSeriesType = DataSeriesTypeUtils::fromString(it.value().toString()); |
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41 | 41 | } |
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42 | 42 | |
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43 | 43 | return dataSeriesType; |
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44 | 44 | } |
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45 | 45 | |
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46 | 46 | std::shared_ptr<TimeSeries::ITimeSerie> |
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47 | 47 | clone_ts(const std::shared_ptr<TimeSeries::ITimeSerie>& ts) |
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48 | 48 | { |
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49 | 49 | if(auto scal_ts = std::dynamic_pointer_cast<ScalarTimeSerie>(ts)) |
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50 | 50 | return std::make_shared<ScalarTimeSerie>(*scal_ts); |
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51 | 51 | if(auto scal_ts = std::dynamic_pointer_cast<VectorTimeSerie>(ts)) |
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52 | 52 | return std::make_shared<VectorTimeSerie>(*scal_ts); |
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53 | 53 | if(auto scal_ts = std::dynamic_pointer_cast<SpectrogramTimeSerie>(ts)) |
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54 | 54 | return std::make_shared<SpectrogramTimeSerie>(*scal_ts); |
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55 | 55 | return nullptr; |
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56 | 56 | } |
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57 | 57 | |
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58 | 58 | struct Variable2::VariablePrivate |
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59 | 59 | { |
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60 | 60 | VariablePrivate(const QString& name, const QVariantHash& metadata) |
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61 | 61 | : m_Name{name}, m_Range{INVALID_RANGE}, m_Metadata{metadata}, m_TimeSerie{ |
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62 | 62 | nullptr} |
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63 | 63 | { |
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64 | 64 | switch(findDataSeriesType(metadata)) |
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65 | 65 | { |
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66 | 66 | case DataSeriesType::SCALAR: |
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67 | 67 | m_TimeSerie = std::make_shared<ScalarTimeSerie>(ScalarTimeSerie{}); |
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68 | 68 | break; |
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69 | 69 | case DataSeriesType::VECTOR: |
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70 | 70 | m_TimeSerie = std::make_shared<VectorTimeSerie>(VectorTimeSerie{}); |
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71 | 71 | break; |
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72 | 72 | case DataSeriesType::SPECTROGRAM: |
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73 | 73 | m_TimeSerie = |
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74 | 74 | std::make_shared<SpectrogramTimeSerie>(SpectrogramTimeSerie{}); |
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75 | 75 | break; |
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76 | 76 | case DataSeriesType::MULTICOMPONENT: |
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77 | 77 | { |
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78 | 78 | std::size_t count = metadata.value(QString("size"), 0).toInt(); |
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79 | 79 | m_TimeSerie = std::make_shared<MultiComponentTimeSerie>( |
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80 | 80 | MultiComponentTimeSerie{{0, count}}); |
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81 | 81 | } |
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82 | 82 | break; |
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83 | 83 | default: break; |
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84 | 84 | } |
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85 | 85 | } |
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86 | 86 | |
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87 | 87 | VariablePrivate(const VariablePrivate& other) |
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88 | 88 | : m_Name{other.m_Name}, m_Range{other.m_Range}, |
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89 | 89 | m_Metadata{other.m_Metadata}, m_RealRange{other.m_RealRange} |
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90 | 90 | { |
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91 | 91 | m_TimeSerie = clone_ts(other.m_TimeSerie); |
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92 | 92 | } |
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93 | 93 | |
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94 | 94 | std::size_t nbPoints() |
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95 | 95 | { |
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96 | 96 | if(m_TimeSerie) return m_TimeSerie->size(); |
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97 | 97 | return 0; |
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98 | 98 | } |
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99 | 99 | DataSeriesType type() const |
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100 | 100 | { |
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101 | 101 | return DataSeriesTypeUtils::type(m_TimeSerie.get()); |
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102 | 102 | } |
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103 | 103 | |
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104 | 104 | PROPERTY_(m_Name, name, setName, QString) |
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105 | 105 | PROPERTY_(m_Range, range, setRange, DateTimeRange) |
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106 | 106 | PROPERTY_(m_Metadata, metadata, setMetadata, QVariantHash) |
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107 | 107 | PROPERTY_(m_RealRange, realRange, setRealRange, std::optional<DateTimeRange>) |
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108 | 108 | std::shared_ptr<TimeSeries::ITimeSerie> dataSeries() { return m_TimeSerie; } |
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109 | 109 | void setDataSeries(std::shared_ptr<TimeSeries::ITimeSerie>&& timeSerie) |
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110 | 110 | { |
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111 | 111 | QWriteLocker lock{&m_Lock}; |
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112 | 112 | m_TimeSerie = timeSerie; |
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113 | 113 | if(m_TimeSerie) { setRealRange(DateTimeRange(m_TimeSerie->axis_range(0))); } |
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114 | 114 | else |
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115 | 115 | { |
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116 | 116 | setRealRange(std::nullopt); |
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117 | 117 | } |
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118 | 118 | } |
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119 | 119 | std::shared_ptr<TimeSeries::ITimeSerie> m_TimeSerie; |
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120 | 120 | QReadWriteLock m_Lock{QReadWriteLock::Recursive}; |
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121 | 121 | }; |
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122 | 122 | |
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123 | 123 | Variable2::Variable2(const QString& name, const QVariantHash& metadata) |
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124 | 124 | : impl{spimpl::make_unique_impl<VariablePrivate>(name, metadata)}, |
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125 | 125 | _uuid{QUuid::createUuid()} |
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126 | 126 | {} |
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127 | 127 | |
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128 | 128 | Variable2::Variable2(const Variable2& other) |
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129 | 129 | : impl{spimpl::make_unique_impl<VariablePrivate>(*other.impl)}, |
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130 | 130 | _uuid{QUuid::createUuid()} // is a clone but must have a != uuid |
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131 | 131 | {} |
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132 | 132 | |
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133 | 133 | std::shared_ptr<Variable2> Variable2::clone() const |
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134 | 134 | { |
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135 | 135 | return std::make_shared<Variable2>(*this); |
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136 | 136 | } |
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137 | 137 | |
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138 | 138 | V_FW_GETTER_SETTER(name, setName, QString) |
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139 | 139 | |
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140 | 140 | DateTimeRange Variable2::range() { return impl->range(); } |
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141 | 141 | |
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142 | 142 | void Variable2::setRange(const DateTimeRange& range) |
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143 | 143 | { |
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144 | 144 | QWriteLocker lock{&m_lock}; |
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145 | 145 | impl->setRange(range); |
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146 | 146 | } |
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147 | 147 | |
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148 | 148 | std::optional<DateTimeRange> Variable2::realRange() |
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149 | 149 | { |
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150 | 150 | QReadLocker lock{&m_lock}; |
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151 | 151 | return impl->realRange(); |
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152 | 152 | } |
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153 | 153 | |
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154 | 154 | std::size_t Variable2::nbPoints() { return impl->nbPoints(); } |
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155 | 155 | |
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156 | 156 | std::shared_ptr<TimeSeries::ITimeSerie> Variable2::data() |
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157 | 157 | { |
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158 | 158 | return impl->dataSeries(); |
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159 | 159 | } |
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160 | 160 | |
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161 | 161 | DataSeriesType Variable2::type() |
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162 | 162 | { |
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163 | 163 | QReadLocker lock{&m_lock}; |
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164 | 164 | return impl->type(); |
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165 | 165 | } |
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166 | 166 | |
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167 | 167 | QVariantHash Variable2::metadata() const noexcept { return impl->metadata(); } |
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168 | 168 | |
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169 | 169 | template<typename T> |
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170 | 170 | std::shared_ptr<TimeSeries::ITimeSerie> |
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171 | 171 | _merge(std::vector<TimeSeries::ITimeSerie*> source, const DateTimeRange& range) |
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172 | 172 | { |
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173 | 173 | std::sort(std::begin(source), std::end(source), |
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174 | 174 | [](TimeSeries::ITimeSerie* a, TimeSeries::ITimeSerie* b) { |
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175 | 175 | if(a->size() && b->size()) return a->t(0) < b->t(0); |
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176 | 176 | return false; |
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177 | 177 | }); |
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178 | 178 | std::shared_ptr<TimeSeries::ITimeSerie> dest = std::make_shared<T>(); |
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179 | 179 | std::for_each( |
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180 | 180 | std::begin(source), std::end(source), |
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181 | 181 | [&dest, &range](TimeSeries::ITimeSerie* serie) { |
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182 | 182 | auto& ts = *static_cast<T*>(serie); |
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183 | 183 | auto last_t = range.m_TStart; |
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184 | 184 | if(dest->size()) last_t = dest->axis(0).back(); |
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185 | 185 | if(ts.size()) |
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186 | 186 | { |
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187 | 187 | std::copy(std::upper_bound( |
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188 | 188 | std::begin(ts), std::end(ts), last_t, |
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189 | 189 | [](const auto& a, const auto& b) { return a < b.t(); }), |
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190 | 190 | std::lower_bound( |
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191 | 191 | std::begin(ts), std::end(ts), range.m_TEnd, |
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192 | 192 | [](const auto& a, const auto& b) { return a.t() < b; }), |
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193 | 193 | std::back_inserter(*std::dynamic_pointer_cast<T>(dest))); |
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194 | 194 | } |
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195 | 195 | }); |
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196 | if(source.size()) | |
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197 | { | |
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198 | const auto& first = *source.begin(); | |
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199 | for(std::size_t ax_index = 1; ax_index < first->shape().size(); ax_index++) | |
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200 | { | |
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201 | const auto& ax = first->axis(ax_index); | |
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202 | std::copy(std::cbegin(ax), std::cend(ax), | |
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203 | std::back_inserter(dest->axis(ax_index))); | |
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204 | } | |
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205 | } | |
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196 | 206 | return dest; |
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197 | 207 | } |
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198 | 208 | |
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199 | 209 | std::shared_ptr<TimeSeries::ITimeSerie> |
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200 | 210 | merge(const std::vector<TimeSeries::ITimeSerie*>& dataSeries, |
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201 | 211 | const DateTimeRange& range) |
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202 | 212 | { |
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203 | 213 | if(dynamic_cast<ScalarTimeSerie*>(dataSeries.front())) |
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204 | 214 | return _merge<ScalarTimeSerie>(dataSeries, range); |
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205 | 215 | if(dynamic_cast<VectorTimeSerie*>(dataSeries.front())) |
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206 | 216 | return _merge<VectorTimeSerie>(dataSeries, range); |
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207 | 217 | if(dynamic_cast<MultiComponentTimeSerie*>(dataSeries.front())) |
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208 | 218 | return _merge<MultiComponentTimeSerie>(dataSeries, range); |
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209 | 219 | if(dynamic_cast<SpectrogramTimeSerie*>(dataSeries.front())) |
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210 | 220 | return _merge<SpectrogramTimeSerie>(dataSeries, range); |
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211 | 221 | return std::shared_ptr<TimeSeries::ITimeSerie>{}; |
|
212 | 222 | } |
|
213 | 223 | |
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214 | 224 | void Variable2::setData(const std::vector<TimeSeries::ITimeSerie*>& dataSeries, |
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215 | 225 | const DateTimeRange& range, bool notify) |
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216 | 226 | { |
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217 | 227 | if(dataSeries.size()) |
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218 | 228 | { |
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219 | 229 | { |
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220 | 230 | QWriteLocker lock{&m_lock}; |
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221 | 231 | impl->setDataSeries(merge(dataSeries, range)); |
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222 | 232 | impl->setRange(range); |
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223 | 233 | } |
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224 | 234 | if(notify) emit this->updated(this->ID()); |
|
225 | 235 | } |
|
226 | 236 | } |
@@ -1,295 +1,299 | |||
|
1 | 1 | #include "CoreWrappers.h" |
|
2 | 2 | |
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3 | 3 | #include "pywrappers_common.h" |
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4 | 4 | |
|
5 | 5 | #include <Data/DataSeriesType.h> |
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6 | 6 | #include <Data/IDataProvider.h> |
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7 | 7 | #include <Network/Downloader.h> |
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8 | 8 | #include <Time/TimeController.h> |
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9 | 9 | #include <Variable/Variable2.h> |
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10 | 10 | #include <Variable/VariableController2.h> |
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11 | 11 | #include <pybind11/chrono.h> |
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12 | 12 | #include <pybind11/embed.h> |
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13 | 13 | #include <pybind11/functional.h> |
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14 | 14 | #include <pybind11/numpy.h> |
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15 | 15 | #include <pybind11/operators.h> |
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16 | 16 | #include <pybind11/pybind11.h> |
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17 | 17 | #include <pybind11/stl.h> |
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18 | 18 | #include <pybind11/stl_bind.h> |
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19 | 19 | #include <sstream> |
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20 | 20 | #include <string> |
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21 | 21 | |
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22 | 22 | namespace py = pybind11; |
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23 | 23 | using namespace std::chrono; |
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24 | 24 | |
|
25 | 25 | template<typename T, typename U, bool row_major = true> |
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26 | 26 | void copy_vector(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, |
|
27 | 27 | U& dest_values) |
|
28 | 28 | { |
|
29 | 29 | auto t_view = t.unchecked<1>(); |
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30 | 30 | auto values_view = values.unchecked<2>(); |
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31 | 31 | for(std::size_t i = 0; i < t.size(); i++) |
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32 | 32 | { |
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33 | 33 | dest_t[i] = t_view[i]; |
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34 | 34 | dest_values[i] = {values_view(i, 0), values_view(i, 1), values_view(i, 2)}; |
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35 | 35 | } |
|
36 | 36 | } |
|
37 | 37 | |
|
38 | 38 | template<typename T, typename U> |
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39 | 39 | void copy_scalar(py::array_t<double>& t, py::array_t<double>& values, T& dest_t, |
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40 | 40 | U& dest_values) |
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41 | 41 | { |
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42 | 42 | auto t_view = t.unchecked<1>(); |
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43 | 43 | if(values.ndim() == 1) |
|
44 | 44 | { |
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45 | 45 | auto values_view = values.unchecked<1>(); |
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46 | 46 | for(std::size_t i = 0; i < t.size(); i++) |
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47 | 47 | { |
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48 | 48 | dest_t[i] = t_view[i]; |
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49 | 49 | dest_values[i] = values_view[i]; |
|
50 | 50 | } |
|
51 | 51 | } |
|
52 | 52 | else if(values.ndim() == 2 && values.shape(1) == 1) |
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53 | 53 | { |
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54 | 54 | auto values_view = values.unchecked<2>(); |
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55 | 55 | for(std::size_t i = 0; i < t.size(); i++) |
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56 | 56 | { |
|
57 | 57 | dest_t[i] = t_view[i]; |
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58 | 58 | dest_values[i] = values_view(i, 0); |
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59 | 59 | } |
|
60 | 60 | } |
|
61 | 61 | } |
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62 | 62 | template<typename T, typename U> |
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63 | 63 | void copy_multicomp(py::array_t<double>& t, py::array_t<double>& values, |
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64 | 64 | T& dest_t, U& dest_values) |
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65 | 65 | { |
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66 | 66 | auto t_view = t.unchecked<1>(); |
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67 | 67 | auto values_view = values.unchecked<2>(); |
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68 | 68 | const auto width = values.shape(1); |
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69 | 69 | for(std::size_t i = 0; i < t.size(); i++) |
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70 | 70 | { |
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71 | 71 | dest_t[i] = t_view[i]; |
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72 | 72 | for(int j = 0; j < width; j++) |
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73 | 73 | { |
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74 | 74 | dest_values[i * width + j] = values_view(i, j); |
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75 | 75 | } |
|
76 | 76 | } |
|
77 | 77 | } |
|
78 | 78 | |
|
79 | 79 | template<typename T, typename U> |
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80 | 80 | void copy_spectro(py::array_t<double>& t, py::array_t<double>& y, |
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81 | 81 | py::array_t<double>& values, T& dest_t, T& dest_y, |
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82 | 82 | U& dest_values) |
|
83 | 83 | { |
|
84 | 84 | auto t_view = t.unchecked<1>(); |
|
85 | 85 | auto y_view = y.unchecked<1>(); |
|
86 | 86 | auto values_view = values.unchecked<2>(); |
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87 | 87 | const auto width = values.shape(1); |
|
88 | 88 | for(std::size_t i = 0; i < y.size(); i++) |
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89 | 89 | { |
|
90 | 90 | dest_y[i] = y_view[i]; |
|
91 | 91 | } |
|
92 | 92 | for(std::size_t i = 0; i < t.size(); i++) |
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93 | 93 | { |
|
94 | 94 | dest_t[i] = t_view[i]; |
|
95 | 95 | for(int j = 0; j < width; j++) |
|
96 | 96 | { |
|
97 | 97 | dest_values[i * width + j] = values_view(i, j); |
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98 | 98 | } |
|
99 | 99 | } |
|
100 | 100 | } |
|
101 | 101 | |
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102 | 102 | PYBIND11_MODULE(pysciqlopcore, m) |
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103 | 103 | { |
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104 | 104 | pybind11::bind_vector<std::vector<double>>(m, "VectorDouble"); |
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105 | 105 | |
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106 | 106 | py::enum_<DataSeriesType>(m, "DataSeriesType") |
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107 | 107 | .value("SCALAR", DataSeriesType::SCALAR) |
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108 | 108 | .value("SPECTROGRAM", DataSeriesType::SPECTROGRAM) |
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109 | 109 | .value("VECTOR", DataSeriesType::VECTOR) |
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110 | 110 | .value("MULTICOMPONENT", DataSeriesType::MULTICOMPONENT) |
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111 | 111 | .value("NONE", DataSeriesType::NONE) |
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112 | 112 | .export_values(); |
|
113 | 113 | |
|
114 | 114 | py::class_<Response>(m, "Response") |
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115 | 115 | .def("status_code", &Response::status_code); |
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116 | 116 | |
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117 | 117 | py::class_<Downloader>(m, "Downloader") |
|
118 | 118 | .def_static("get", Downloader::get) |
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119 | 119 | .def_static("getAsync", Downloader::getAsync) |
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120 | 120 | .def_static("downloadFinished", Downloader::downloadFinished); |
|
121 | 121 | |
|
122 | 122 | py::class_<IDataProvider, std::shared_ptr<IDataProvider>>(m, "IDataProvider"); |
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123 | 123 | |
|
124 | 124 | py::class_<TimeSeries::ITimeSerie, std::shared_ptr<TimeSeries::ITimeSerie>>( |
|
125 | 125 | m, "ITimeSerie") |
|
126 | 126 | .def_property_readonly( |
|
127 | 127 | "size", [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) |
|
128 | 128 | .def("__len__", |
|
129 | 129 | [](const TimeSeries::ITimeSerie& ts) { return ts.size(); }) |
|
130 | 130 | .def_property_readonly( |
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131 | 131 | "shape", [](const TimeSeries::ITimeSerie& ts) { return ts.shape(); }) |
|
132 | 132 | .def_property_readonly( |
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133 | 133 | "t", |
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134 | 134 | [](TimeSeries::ITimeSerie& ts) -> decltype(ts.axis(0))& { |
|
135 | 135 | return ts.axis(0); |
|
136 | 136 | }, |
|
137 | 137 | py::return_value_policy::reference) |
|
138 | 138 | .def( |
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139 | 139 | "axis", |
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140 | 140 | [](TimeSeries::ITimeSerie& ts, unsigned int index) |
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141 | 141 | -> decltype(ts.axis(0))& { return ts.axis(index); }, |
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142 | 142 | py::return_value_policy::reference); |
|
143 | 143 | |
|
144 | 144 | py::class_<ScalarTimeSerie, TimeSeries::ITimeSerie, |
|
145 | 145 | std::shared_ptr<ScalarTimeSerie>>(m, "ScalarTimeSerie") |
|
146 | 146 | .def(py::init<>()) |
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147 | 147 | .def(py::init<std::size_t>()) |
|
148 | 148 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
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149 | 149 | assert(t.size() == values.size()); |
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150 | 150 | ScalarTimeSerie::axis_t _t(t.size()); |
|
151 | 151 | ScalarTimeSerie::axis_t _values(t.size()); |
|
152 | 152 | copy_scalar(t, values, _t, _values); |
|
153 | 153 | return ScalarTimeSerie(_t, _values); |
|
154 | 154 | })) |
|
155 | 155 | .def("__getitem__", |
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156 | 156 | [](ScalarTimeSerie& ts, std::size_t key) { return ts[key]; }) |
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157 | 157 | .def("__setitem__", [](ScalarTimeSerie& ts, std::size_t key, |
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158 | 158 | double value) { *(ts.begin() + key) = value; }); |
|
159 | 159 | |
|
160 | 160 | py::class_<VectorTimeSerie::raw_value_type>(m, "vector") |
|
161 | 161 | .def(py::init<>()) |
|
162 | 162 | .def(py::init<double, double, double>()) |
|
163 | 163 | .def("__repr__", __repr__<VectorTimeSerie::raw_value_type>) |
|
164 | 164 | .def_readwrite("x", &VectorTimeSerie::raw_value_type::x) |
|
165 | 165 | .def_readwrite("y", &VectorTimeSerie::raw_value_type::y) |
|
166 | 166 | .def_readwrite("z", &VectorTimeSerie::raw_value_type::z); |
|
167 | 167 | |
|
168 | 168 | py::class_<VectorTimeSerie, TimeSeries::ITimeSerie, |
|
169 | 169 | std::shared_ptr<VectorTimeSerie>>(m, "VectorTimeSerie") |
|
170 | 170 | .def(py::init<>()) |
|
171 | 171 | .def(py::init<std::size_t>()) |
|
172 | 172 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
|
173 | 173 | assert(t.size() * 3 == values.size()); |
|
174 | 174 | VectorTimeSerie::axis_t _t(t.size()); |
|
175 | 175 | VectorTimeSerie::container_type<VectorTimeSerie::raw_value_type> |
|
176 | 176 | _values(t.size()); |
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177 | 177 | copy_vector(t, values, _t, _values); |
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178 | 178 | return VectorTimeSerie(_t, _values); |
|
179 | 179 | })) |
|
180 | 180 | .def( |
|
181 | 181 | "__getitem__", |
|
182 | 182 | [](VectorTimeSerie& ts, std::size_t key) |
|
183 | 183 | -> VectorTimeSerie::raw_value_type& { return ts[key]; }, |
|
184 | 184 | py::return_value_policy::reference) |
|
185 | 185 | .def("__setitem__", [](VectorTimeSerie& ts, std::size_t key, |
|
186 | 186 | VectorTimeSerie::raw_value_type value) { |
|
187 | 187 | *(ts.begin() + key) = value; |
|
188 | 188 | }); |
|
189 | 189 | |
|
190 | 190 | py::class_<MultiComponentTimeSerie::iterator_t>(m, |
|
191 | 191 | "MultiComponentTimeSerieItem") |
|
192 | 192 | .def("__getitem__", [](MultiComponentTimeSerie::iterator_t& self, |
|
193 | 193 | std::size_t key) { return (*self)[key]; }) |
|
194 | 194 | .def("__setitem__", |
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195 | 195 | [](MultiComponentTimeSerie::iterator_t& self, std::size_t key, |
|
196 | 196 | double value) { (*self)[key] = value; }); |
|
197 | 197 | |
|
198 | 198 | py::class_<MultiComponentTimeSerie, TimeSeries::ITimeSerie, |
|
199 | 199 | std::shared_ptr<MultiComponentTimeSerie>>( |
|
200 | 200 | m, "MultiComponentTimeSerie") |
|
201 | 201 | .def(py::init<>()) |
|
202 | 202 | .def(py::init<const std::vector<std::size_t>>()) |
|
203 | 203 | .def(py::init([](py::array_t<double> t, py::array_t<double> values) { |
|
204 | 204 | assert((t.size() < values.size()) | |
|
205 | 205 | (t.size() == 0)); // TODO check geometry |
|
206 | 206 | MultiComponentTimeSerie::axis_t _t(t.size()); |
|
207 | 207 | MultiComponentTimeSerie::container_type< |
|
208 | 208 | MultiComponentTimeSerie::raw_value_type> |
|
209 | 209 | _values(values.size()); |
|
210 | 210 | copy_multicomp(t, values, _t, _values); |
|
211 | 211 | std::vector<std::size_t> shape; |
|
212 | 212 | shape.push_back(values.shape(0)); |
|
213 | 213 | shape.push_back(values.shape(1)); |
|
214 | 214 | return MultiComponentTimeSerie(_t, _values, shape); |
|
215 | 215 | })) |
|
216 | 216 | .def("__getitem__", |
|
217 | 217 | [](MultiComponentTimeSerie& ts, |
|
218 | 218 | std::size_t key) -> MultiComponentTimeSerie::iterator_t { |
|
219 | 219 | return ts.begin() + key; |
|
220 | 220 | }); |
|
221 | 221 | |
|
222 | 222 | py::class_<SpectrogramTimeSerie::iterator_t>(m, "SpectrogramTimeSerieItem") |
|
223 | 223 | .def("__getitem__", [](SpectrogramTimeSerie::iterator_t& self, |
|
224 | 224 | std::size_t key) { return (*self)[key]; }) |
|
225 | 225 | .def("__setitem__", |
|
226 | 226 | [](SpectrogramTimeSerie::iterator_t& self, std::size_t key, |
|
227 | 227 | double value) { (*self)[key] = value; }); |
|
228 | 228 | |
|
229 | 229 | py::class_<SpectrogramTimeSerie, TimeSeries::ITimeSerie, |
|
230 | 230 | std::shared_ptr<SpectrogramTimeSerie>>(m, "SpectrogramTimeSerie") |
|
231 | 231 | .def(py::init<>()) |
|
232 | 232 | .def(py::init<const std::vector<std::size_t>>()) |
|
233 | 233 | .def(py::init([](py::array_t<double> t, py::array_t<double> y, |
|
234 | 234 | py::array_t<double> values) { |
|
235 | assert(t.size() < values.size()); // TODO check geometry | |
|
235 | auto t_s = t.size(); | |
|
236 | auto v_s = values.size(); | |
|
237 | assert(t.size() < values.size() or | |
|
238 | t.size() == 0); // TODO check geometry | |
|
236 | 239 | assert(y.size() == values.shape(1)); |
|
237 | 240 | SpectrogramTimeSerie::axis_t _t(t.size()); |
|
238 | 241 | SpectrogramTimeSerie::axis_t _y(y.size()); |
|
239 | 242 | SpectrogramTimeSerie::container_type< |
|
240 | 243 | SpectrogramTimeSerie::raw_value_type> |
|
241 | 244 | _values(values.size()); |
|
242 | 245 | copy_spectro(t, y, values, _t, _y, _values); |
|
243 | 246 | std::vector<std::size_t> shape; |
|
244 | 247 | shape.push_back(values.shape(0)); |
|
245 | 248 | shape.push_back(values.shape(1)); |
|
246 |
return SpectrogramTimeSerie(_t, _y, |
|
|
249 | return SpectrogramTimeSerie(std::move(_t), std::move(_y), | |
|
250 | std::move(_values), shape); | |
|
247 | 251 | })) |
|
248 | 252 | .def("__getitem__", |
|
249 | 253 | [](SpectrogramTimeSerie& ts, |
|
250 | 254 | std::size_t key) -> SpectrogramTimeSerie::iterator_t { |
|
251 | 255 | return ts.begin() + key; |
|
252 | 256 | }); |
|
253 | 257 | |
|
254 | 258 | py::class_<Variable2, std::shared_ptr<Variable2>>(m, "Variable2") |
|
255 | 259 | .def(py::init<const QString&>()) |
|
256 | 260 | .def_property("name", &Variable2::name, &Variable2::setName) |
|
257 | 261 | .def_property_readonly("range", &Variable2::range) |
|
258 | 262 | .def_property_readonly("nbPoints", &Variable2::nbPoints) |
|
259 | 263 | .def_property_readonly( |
|
260 | 264 | "data", |
|
261 | 265 | [](Variable2& var) -> std::shared_ptr<TimeSeries::ITimeSerie> { |
|
262 | 266 | return var.data(); |
|
263 | 267 | }) |
|
264 | 268 | .def("set_data", |
|
265 | 269 | [](Variable2& var, std::vector<TimeSeries::ITimeSerie*> ts_list, |
|
266 | 270 | const DateTimeRange& range) { var.setData(ts_list, range); }) |
|
267 | 271 | .def("__len__", &Variable2::nbPoints) |
|
268 | 272 | .def("__repr__", __repr__<Variable2>); |
|
269 | 273 | |
|
270 | 274 | py::class_<DateTimeRange>(m, "SqpRange") |
|
271 | 275 | //.def("fromDateTime", &DateTimeRange::fromDateTime, |
|
272 | 276 | // py::return_value_policy::move) |
|
273 | 277 | .def(py::init([](double start, double stop) { |
|
274 | 278 | return DateTimeRange{start, stop}; |
|
275 | 279 | })) |
|
276 | 280 | .def(py::init( |
|
277 | 281 | [](system_clock::time_point start, system_clock::time_point stop) { |
|
278 | 282 | double start_ = |
|
279 | 283 | 0.001 * |
|
280 | 284 | duration_cast<milliseconds>(start.time_since_epoch()).count(); |
|
281 | 285 | double stop_ = |
|
282 | 286 | 0.001 * |
|
283 | 287 | duration_cast<milliseconds>(stop.time_since_epoch()).count(); |
|
284 | 288 | return DateTimeRange{start_, stop_}; |
|
285 | 289 | })) |
|
286 | 290 | .def_property_readonly("start", |
|
287 | 291 | [](const DateTimeRange& range) { |
|
288 | 292 | return system_clock::from_time_t(range.m_TStart); |
|
289 | 293 | }) |
|
290 | 294 | .def_property_readonly("stop", |
|
291 | 295 | [](const DateTimeRange& range) { |
|
292 | 296 | return system_clock::from_time_t(range.m_TEnd); |
|
293 | 297 | }) |
|
294 | 298 | .def("__repr__", __repr__<DateTimeRange>); |
|
295 | 299 | } |
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