#include <wrappy/wrappy.h>
int main() {
auto s = wrappy::call("smtplib.SMTP", "localhost");
s.call("sendmail", "python@localhost", "wrappy@example.org",
"Subject: Norwegian blue parrot for sale\n"
"Amazing offer, only while supplies last!\n"
"Product may show signs of usage.");
}
Requires an SMTP daemon to be running on localhost, e.g.
sudo aptitude install sendmail. Note that most webmail providers will
classify the mail as spam and put it in the thrash or reject it outright.
#include <wrappy/wrappy.h>
void drawTree(double len, double angle, int lvl) {
if(!lvl) return;
wrappy::call("turtle.left", angle);
wrappy::call("turtle.forward", len);
drawTree(0.5*len, 60, lvl-1);
drawTree(0.7*len, 0, lvl-1);
drawTree(0.5*len, -60, lvl-1);
wrappy::call("turtle.backward", len);
wrappy::call("turtle.right", angle);
}
int main() {
drawTree(100, 90, 6);
}
#include <wrappy/wrappy.h>
#include <algorithm>
int main() {
std::vector<double> x {1.0, 2.0, 3.0, 4.0}, y {1.5, 1.0, 1.3, 2.0};
std::vector<wrappy::PythonObject> pyx, pyy;
std::transform(x.begin(), x.end(), std::back_inserter(pyx),
[](double d) { return wrappy::construct(d); });
std::transform(y.begin(), y.end(), std::back_inserter(pyy),
[](double d) { return wrappy::construct(d); });
wrappy::call("matplotlib.pyplot.plot", pyx, pyy);
wrappy::call("matplotlib.pyplot.show");
}
Requires the matplotlib package to be installed. This example was the original motivation for this library, but if you actually just want to plot something from C++, this library will be better suited to your needs: matplotlib-cpp
cmake .
make
sudo make install
git checkout ubuntu/wily
gbp buildpackage --git-debian-branch=ubuntu/wily --git-upstream-version='v%(version)s'
sudo dpkg -i ../libwrappy*.deb
Requires git-buildpackage and Ubuntu 15.10, although this should work on almost any other Debian-like distribution as well.
So the point of this library is to make it easy to call out to python code from C++.
Why would you want to do this? If there is a python-only library that offers some needed functionality and no equivalent pyton library exists. In that case, it is often more practical and far easier to do it this way than to wrap your C++ code in python. As the examples above show, just a few lines of code can be enough.
Right now, this library only works with the 2.x versions of python, since the C API changed with version 3. It's quite similar though, so the effort to port it to Python 3 shouldn't be too big. However, it seems that most people (me included) are using 2.7 and have no plans on switching anytime soon, so I haven't bothered with it.