lasp_pyindatahandler.cpp File Reference

#include "arma_npy.h"
#include "debugtrace.hpp"
#include "lasp_clip.h"
#include "lasp_daq.h"
#include "lasp_daqdata.h"
#include "lasp_ppm.h"
#include "lasp_rtaps.h"
#include "lasp_rtsignalviewer.h"
#include "lasp_streammgr.h"
#include "lasp_threadedindatahandler.h"
#include <armadillo>
#include <atomic>
#include <chrono>
#include <pybind11/pybind11.h>

Include dependency graph for lasp_pyindatahandler.cpp:

Go to the source code of this file.

Classes
class	PyIndataHandler
	Wraps the ThreadedInDataHandler such that it calls a Python callback with a buffer of sample data. Converts DaqData objects to Numpy arrays and calls Python given as argument to the constructor. More...

Functions
template<typename T , bool copy = false>
py::array_t< T >	getPyArrayNoCpy (const DaqData &d)
	Generate a Numpy array from daqdata, does NOT create a copy of the data!. Instead, it shares the data from the DaqData container.
template<typename T , bool copy = false>
py::array_t< d >	dmat_to_ndarray (const DaqData &d)
void	init_datahandler (py::module &m)

Function Documentation

dmat_to_ndarray()

template<typename T , bool copy = false>

py::array_t< d > dmat_to_ndarray

(

const DaqData &

d

)

Definition at line 66 of file lasp_pyindatahandler.cpp.

getPyArrayNoCpy()

template<typename T , bool copy = false>

py::array_t< T > getPyArrayNoCpy

(

const DaqData &

d

)

Generate a Numpy array from daqdata, does NOT create a copy of the data!. Instead, it shares the data from the DaqData container.

Template Parameters

T	The type of the stored sample

Parameters

d	The daqdata to convert

Returns

Numpy array

Definition at line 33 of file lasp_pyindatahandler.cpp.