Lcpp

HWcpp

Python is a very flexible language with many libraries, but programs in Python can be slow and take a lot of memory compared with programs written for example in C++. In this lecture we will see how to combine C++ and Python so that you write core algorithmic parts in C++ but use Python to do other less time-sensitive computations, such as parsing inputs.

We will be using pybind11 library to do that.

Here is an example C++ code, which can be converted as an extension and used in Python:

#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <vector>
#include <string>

using std::vector;
using std::string;


// Here is your class code
struct MyClass {
    MyClass() {}
    int f(vector<string> arr) {
        int ss = 0;
        for (auto &s: arr) {
            ss += s.size();
        }
        return ss;
    }
};


// This is the binding code, every function you want to export, must be declared here
PYBIND11_MODULE(example, m) {
    m.doc() = "pybind11 example plugin"; // optional module docstring

    pybind11::class_<MyClass>(m, "MyClass")
        .def(pybind11::init())
        .def("f", &MyClass::f);
}

We can then compile this code to be used as Python module: c++ -O3 -Wall -shared -std=c++11 -fPIC $(python3 -m pybind11 --includes) example.cc -o example$(python3-config --extension-suffix)

And then we can import it (we need to be in same directory as compiled output):

import example

c = example.MyClass()
print(c.f(["aaa", "bb"]))
print(c.f([]))