Removed carma usage. This bugs as it changes the default allocator for armadillo, which does not work properly when native C++ threads do not register themselves as a thread for Python. We implemented the required convertors between Python and Armadillo ourselves. This also fixes the problem of Carma not being officially Python3.10 proof.
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ce402acd15
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@ -11,6 +11,7 @@ using std::cerr;
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using std::endl;
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using rte = std::runtime_error;
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InDataHandler::InDataHandler(StreamMgr &mgr) : _mgr(mgr) { DEBUGTRACE_ENTER; }
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void InDataHandler::start() {
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DEBUGTRACE_ENTER;
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@ -59,6 +60,7 @@ void StreamMgr::checkRightThread() const {
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void StreamMgr::rescanDAQDevices(bool background,
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std::function<void()> callback) {
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DEBUGTRACE_ENTER;
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auto& pool = getPool();
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checkRightThread();
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if (!_devices_mtx.try_lock()) {
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@ -74,7 +76,7 @@ void StreamMgr::rescanDAQDevices(bool background,
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if (!background) {
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rescanDAQDevices_impl(callback);
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} else {
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/* pool.push_task(&StreamMgr::rescanDAQDevices_impl, this, callback); */
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pool.push_task(&StreamMgr::rescanDAQDevices_impl, this, callback);
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}
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}
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void StreamMgr::rescanDAQDevices_impl(std::function<void()> callback) {
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@ -125,7 +125,7 @@ class SLM:
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if prefilter is not None:
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self.slm = cppSLM.fromBiquads(fs, level_ref_value, dsfac,
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tw[0],
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prefilter, sos)
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prefilter.flatten(), sos)
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else:
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self.slm = cppSLM.fromBiquads(fs, level_ref_value, dsfac,
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tw[0],
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@ -145,11 +145,7 @@ class SLM:
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data: one-dimensional input data
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"""
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assert data.ndim == 2
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assert data.shape[1] == 1, "invalid number of channels, should be 1"
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if data.shape[0] == 0:
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return {}
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assert data.ndim == 1
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levels = self.slm.run(data)
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@ -197,10 +193,10 @@ class SLM:
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logging.debug(output['mid'])
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if self.include_overall and self.fbdesigner is not None:
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output['overall'] = dat[-1,0]
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output['y'] = np.asarray(dat[:-1,0])
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output['overall'] = dat[-1]
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output['y'] = np.asarray(dat[:-1])
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else:
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output['y'] = np.asarray(dat[:,0])
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output['y'] = np.asarray(dat[:])
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return output
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def Leq(self):
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@ -1,15 +1,16 @@
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#include <carma>
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#include "arma_npy.h"
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#include "lasp_avpowerspectra.h"
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#include "lasp_biquadbank.h"
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#include "lasp_fft.h"
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#include "lasp_streammgr.h"
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#include "lasp_filter.h"
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#include "lasp_slm.h"
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#include "lasp_streammgr.h"
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#include "lasp_window.h"
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#include <iostream>
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#include <pybind11/pybind11.h>
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using std::cerr;
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using std::endl;
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namespace py = pybind11;
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/**
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@ -23,6 +24,7 @@ namespace py = pybind11;
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*
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* @param m The Python module to add classes and methods to
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*/
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void init_dsp(py::module &m) {
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py::class_<Fft> fft(m, "Fft");
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@ -53,22 +55,30 @@ void init_dsp(py::module &m) {
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py::class_<SeriesBiquad, std::shared_ptr<SeriesBiquad>> sbq(m, "SeriesBiquad",
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filter);
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sbq.def(py::init<const vd &>());
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sbq.def("filter", [](SeriesBiquad &s, const vd &input) {
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vd res = input;
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sbq.def("filter", [](SeriesBiquad &s, dpyarray input) {
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vd res = NpyToCol<d, true>(input);
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s.filter(res);
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return res;
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return ColToNpy<d>(res);
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});
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/// BiquadBank
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py::class_<BiquadBank, std::shared_ptr<BiquadBank>> bqb(m, "BiquadBank");
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bqb.def(py::init<const dmat &, const vd *>());
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bqb.def("setGains", &BiquadBank::setGains);
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bqb.def("filter", &BiquadBank::filter);
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bqb.def("setGains", [](BiquadBank &b, dpyarray gains) {
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b.setGains(NpyToCol(gains));
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});
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bqb.def("filter", [](BiquadBank &b, dpyarray input) {
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vd inout = NpyToCol<d, true>(input);
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b.filter(inout);
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return ColToNpy(inout);
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});
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/// PowerSpectra
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py::class_<PowerSpectra> ps(m, "PowerSpectra");
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ps.def(py::init<const us, const Window::WindowType>());
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ps.def("compute", &PowerSpectra::compute);
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ps.def("compute", [](PowerSpectra &ps, dpyarray input) {
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return CubeToNpy<c>(ps.compute(NpyToMat<d, false>(input)));
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});
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/// AvPowerSpectra
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py::class_<AvPowerSpectra> aps(m, "AvPowerSpectra");
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@ -77,29 +87,37 @@ void init_dsp(py::module &m) {
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py::arg("windowType") = Window::WindowType::Hann,
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py::arg("overlap_percentage") = 50.0, py::arg("time_constant") = -1);
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aps.def("compute", [](AvPowerSpectra &aps, const dmat &timedata) {
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std::optional<arma::cx_cube> res = aps.compute(timedata);
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return res.value_or(arma::cx_cube(0, 0, 0));
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aps.def("compute", [](AvPowerSpectra &aps, dpyarray timedata) {
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std::optional<arma::cx_cube> res =
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aps.compute(NpyToMat<d, false>(timedata));
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return CubeToNpy<c>(res.value_or(cube(0, 0, 0)));
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});
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py::class_<SLM> slm(m, "cppSLM");
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slm.def_static(
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"fromBiquads",
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py::overload_cast<const d, const d, const us, const d, const dmat &>(
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&SLM::fromBiquads));
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slm.def_static(
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"fromBiquads",
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py::overload_cast<const d, const d, const us, const d, const vd &,
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const dmat &>(&SLM::fromBiquads));
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slm.def("run", &SLM::run);
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slm.def_readonly("Pm", &SLM::Pm);
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slm.def_readonly("Pmax", &SLM::Pmax);
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slm.def_readonly("Ppeak", &SLM::Ppeak);
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slm.def("Lpeak", &SLM::Lpeak);
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slm.def("Leq", &SLM::Leq);
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slm.def("Lmax", &SLM::Lmax);
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slm.def_static("suggestedDownSamplingFac", &SLM::suggestedDownSamplingFac);
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slm.def_static("fromBiquads", [](const d fs, const d Lref, const us ds,
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const d tau, dpyarray bandpass) {
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return SLM::fromBiquads(fs, Lref, ds, tau, NpyToMat<d, false>(bandpass));
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});
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slm.def_static("fromBiquads", [](const d fs, const d Lref, const us ds,
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const d tau, dpyarray prefilter,
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py::array_t<d> bandpass) {
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return SLM::fromBiquads(fs, Lref, ds, tau, NpyToCol<d, false>(prefilter),
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NpyToMat<d, false>(bandpass));
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});
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slm.def("run", [](SLM &slm, dpyarray in) {
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return MatToNpy<d>(slm.run(NpyToCol<d, false>(in)));
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});
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slm.def("Pm", [](const SLM &slm) { return ColToNpy<d>(slm.Pm); });
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slm.def("Pmax", [](const SLM &slm) { return ColToNpy<d>(slm.Pmax); });
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slm.def("Ppeak", [](const SLM &slm) { return ColToNpy<d>(slm.Ppeak); });
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slm.def("Leq", [](const SLM &slm) { return ColToNpy<d>(slm.Leq()); });
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slm.def("Lmax", [](const SLM &slm) { return ColToNpy<d>(slm.Lmax()); });
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slm.def("Lpeak", [](const SLM &slm) { return ColToNpy<d>(slm.Lpeak()); });
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slm.def_static("suggestedDownSamplingFac", &SLM::suggestedDownSamplingFac);
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}
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/** @} */
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@ -1,6 +1,6 @@
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#include <carma>
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#include <armadillo>
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#define DEBUGTRACE_ENABLED
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#include "arma_npy.h"
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#include "debugtrace.hpp"
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#include "lasp_ppm.h"
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#include "lasp_rtaps.h"
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@ -25,7 +25,8 @@ namespace py = pybind11;
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*
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* @return Numpy array
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*/
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template <typename T,bool copy=false> py::array_t<T> getPyArrayNoCpy(const DaqData &d) {
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template <typename T, bool copy = false>
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py::array_t<T> getPyArrayNoCpy(const DaqData &d) {
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// https://github.com/pybind/pybind11/issues/323
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//
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// When a valid object is passed as 'base', it tells pybind not to take
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@ -57,7 +58,8 @@ template <typename T,bool copy=false> py::array_t<T> getPyArrayNoCpy(const DaqDa
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);
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}
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template <typename T,bool copy=false> py::array_t<d> dmat_to_ndarray(const DaqData &d) {
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template <typename T, bool copy = false>
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py::array_t<d> dmat_to_ndarray(const DaqData &d) {
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// https://github.com/pybind/pybind11/issues/323
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//
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// When a valid object is passed as 'base', it tells pybind not to take
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@ -183,10 +185,11 @@ void init_datahandler(py::module &m) {
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ppm.def(py::init<StreamMgr &>());
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ppm.def("getCurrentValue", [](const PPMHandler &ppm) {
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std::tuple<vd, arma::uvec> tp = ppm.getCurrentValue();
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return py::make_tuple(carma::col_to_arr(std::get<0>(tp)),
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carma::col_to_arr(std::get<1>(tp)));
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return py::make_tuple(ColToNpy<d>(std::get<0>(tp)),
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ColToNpy<arma::uword>(std::get<1>(tp)));
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});
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/// Real time Aps
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@ -214,8 +217,8 @@ void init_datahandler(py::module &m) {
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rtaps.def("getCurrentValue", [](RtAps &rt) {
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std::unique_ptr<cube> val = rt.getCurrentValue();
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if (val) {
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return carma::cube_to_arr<c>(std::move(*val));
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return CubeToNpy<c> (*val);
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}
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return carma::cube_to_arr<c>(cube(1, 0, 0));
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return CubeToNpy<c>(cube(1,0,0));
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});
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}
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@ -1,4 +1,3 @@
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#include <carma>
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#include "lasp_avpowerspectra.h"
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#include "lasp_biquadbank.h"
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#include "lasp_fft.h"
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@ -33,7 +32,7 @@ void init_siggen(py::module &m) {
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siggen.def("setMute", &Siggen::setMute);
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siggen.def("setLevel", &Siggen::setLevel);
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siggen.def("setLevel", &Siggen::setLevel, py::arg("newLevel"), py::arg("dB") = true);
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siggen.def("genSignal", &Siggen::genSignal);
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/* siggen.def("genSignal", &Siggen::genSignal); */
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siggen.def("setFilter", &Siggen::setFilter);
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py::class_<Noise,std::shared_ptr<Noise>> noise(m, "Noise", siggen);
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