Embed python / numpy in C++
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <stdio.h>
#include <iostream>
#include <stdlib.h>
#include <Python.h>
#include "numpy/arrayobject.h"
int main(int argc, char* argv[])
{
setenv("PYTHONPATH", ".", 0);
Py_Initialize();
import_array();
// Build the 2D array in C++
const int SIZE = 3;
npy_intp dims[2] {SIZE, SIZE};
const int ND = 2;
long double(*c_arr)[SIZE] { new long double[SIZE][SIZE] };
for (int i = 0; i < SIZE; i++) {
for (int j = 0; j < SIZE; j++) {
c_arr[i][j] = i + j;
}
}
// Convert it to a NumPy array.
PyObject* pArray = PyArray_SimpleNewFromData(ND, dims, NPY_LONGDOUBLE,
reinterpret_cast<void*>(c_arr));
// import mymodule
const char* module_name = "mymodule";
PyObject* pName = PyUnicode_FromString(module_name);
PyObject* pModule = PyImport_Import(pName);
Py_DECREF(pName);
// import function
const char* func_name = "array_tutorial";
PyObject* pFunc = PyObject_GetAttrString(pModule, func_name);
PyObject* pReturn = PyObject_CallFunctionObjArgs(pFunc, pArray, NULL);
PyArrayObject* np_ret = reinterpret_cast<PyArrayObject*>(pReturn);
// Convert back to C++ array and print.
int len = PyArray_SHAPE(np_ret)[0];
long double* c_out;
c_out = reinterpret_cast<long double*>(PyArray_DATA(np_ret));
std::cout << "Printing output array - C++" << std::endl;
for (int i = 0; i < len; i++) {
std::cout << c_out[i] << ' ';
}
std::cout << std::endl << std::endl;
// import function without arguments
const char* func_name2 = "myfunction";
PyObject* pFunc2 = PyObject_GetAttrString(pModule, func_name2);
PyObject* pReturn2 = PyObject_CallFunctionObjArgs(pFunc2, NULL);
PyArrayObject* np_ret2 = reinterpret_cast<PyArrayObject*>(pReturn2);
// convert back to C++ array and print
int len2 = PyArray_SHAPE(np_ret2)[0];
long double* c_out2;
c_out2 = reinterpret_cast<long double*>(PyArray_DATA(np_ret2));
std::cout << "Printing output array 2 - C++" << std::endl;
for (int i = 0; i < len2; i++) {
std::cout << c_out2[i] << ' ';
}
std::cout << std::endl << std::endl;
Py_Finalize();
return 0;
}
import numpy
def array_tutorial(a):
print("array_tutorial - python")
print(a)
print(numpy.dtype(a[0,0]))
print("")
firstRow = a[0,:]
return firstRow
def myfunction():
beta = numpy.array([[1,2,3],[1,2,3],[1,2,3]],dtype=numpy.float128)
print("myfunction - python")
print(beta)
print("")
firstRow = beta[0,:]
return firstRow
CC = g++
LDFLAGS = -lm -lpthread -ldl -lutil -lpython3.6m
CFLAGS = -Wall -pedantic -ggdb3 -O0
INCLUDE = -I/home/shihyu/anaconda3/include/python3.6m
LIB = -L/home/shihyu/anaconda3/lib
SOURCEDIR = ./
BUILDDIR = build
SRCS = $(wildcard $(SOURCEDIR)/*.cpp)
OBJS = $(addprefix $(BUILDDIR)/,$(notdir $(SRCS:.cpp=.o)))
all : dir process
dir :
mkdir -p $(BUILDDIR)
process : $(OBJS)
$(CC) -o $@ $(CFLAGS) $(OBJS) $(LIB) $(LDFLAGS)
$(BUILDDIR)/%.o : $(SOURCEDIR)/%.cpp
$(CC) $(INCLUDE) $(CFLAGS) -c $< -o $@
clean:
rm -rf process hello.pyc $(BUILDDIR)
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/shihyu/anaconda3/lib
./process
array_tutorial - python
[[0. 1. 2.]
[1. 2. 3.]
[2. 3. 4.]]
float128
Printing output array - C++
0 1 2
myfunction - python
[[1. 2. 3.]
[1. 2. 3.]
[1. 2. 3.]]
Printing output array 2 - C++
1 2 3