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 <string> 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 <pybind11/pybind11.h> hashtag#include <pybind11/stl.h> hashtag#include "test_it.h" namespace py = pybind11; PYBIND11_MODULE(testit, m) { py::class_<TestIt>(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. |