Cool method to use LLM to build cross language interfaces

Here is a cool tip on how to use hashtag#LLM to build cross-language interfaces.
I did it with hashtag#ChatGPT-4o but it will probably work with others.

Here is my prompt:
I need to use following c++ class from python code:
class TestIt {
public:
std::string f1, f2;

std::string getf1() const { return f1; }
};

And here is what I get as output:
To use a C++ class from Python, you can use a tool like `pybind11`, which allows you to create Python bindings for C++ code. Here is a step-by-step guide to expose your `TestIt` class to Python:

### Step 1: Write the C++ Code

First, let’s create a header file (`test_it.h`) and an implementation file (`test_it.cpp`) for your C++ class:

*test_it.h:*

“`cpp
hashtag#ifndef TEST_IT_H
hashtag#define TEST_IT_H

hashtag#include

class TestIt {
public:
std::string f1, f2;

std::string getf1() const { return f1; }
};

hashtag#endif // TEST_IT_H
“`

*test_it.cpp:*

“`cpp
hashtag#include “test_it.h”

“`

### Step 2: Write the pybind11 Binding Code

Create a new C++ file for the pybind11 bindings, say `bindings.cpp`:

*bindings.cpp:*

“`cpp
hashtag#include
hashtag#include
hashtag#include “test_it.h”

namespace py = pybind11;

PYBIND11_MODULE(testit, m) {
py::class_(m, “TestIt”)
.def(py::init<>()) // Bind the default constructor
.def_readwrite(“f1”, &TestIt::f1) // Bind the public member f1
.def_readwrite(“f2”, &TestIt::f2) // Bind the public member f2
.def(“getf1”, &TestIt::getf1); // Bind the getf1 method
}
“`

### Step 3: Build the Python Module

To compile the code, you need to have `pybind11` installed and properly set up. You can install `pybind11` using pip:

“`sh
pip install pybind11
“`

Create a `CMakeLists.txt` file to handle the build process:

*CMakeLists.txt:*

“`cmake
cmake_minimum_required(VERSION 3.10)
project(testit)

set(CMAKE_CXX_STANDARD 14)

find_package(pybind11 REQUIRED)

add_library(testit MODULE bindings.cpp test_it.cpp)
target_link_libraries(testit PRIVATE pybind11::module)
“`

### Step 4: Compile the Module

Run the following commands to compile your module:

“`sh
mkdir build
cd build
cmake ..
make
“`

This will generate a shared library file (`testit.so` on Linux, `testit.pyd` on Windows) that you can import in Python.

### Step 5: Use the Module in Python

Finally, you can use your C++ class in Python:

*test.py:*

“`python
import testit

# Create an instance of TestIt
test_instance = testit.TestIt()

# Set values for f1 and f2
test_instance.f1 = “Hello”
test_instance.f2 = “World”

# Get the value of f1 using the method
print(test_instance.getf1()) # Output: Hello

# Print the value of f2 directly
print(test_instance.f2) # Output: World
“`

### Additional Notes

– The `pybind11` library should be correctly installed and discoverable by CMake.
– Adjust the `CMakeLists.txt` if you have additional include directories or dependencies.

By following these steps, you should be able to use your C++ class `TestIt` in Python seamlessly.

Comments URL: https://news.ycombinator.com/item?id=40917858

Points: 1

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