Your Python Code is too slow? You want to speed it up but forgot how to code in C++? ⌨Convert your Python script to C++ Code using OpenAI Codex.

How It Works

This tool reads a Python file and crafts an input prompt which is then sent to OpenAI Codex to generate the corresponding C++ code. If the generated code compiles successfully using g++, the executable is saved for your convenience.

Installation

To get started, you will need to clone the GitHub repository and install the necessary requirements:

• Clone the repository:

  bash
  git clone https://github.com/alxschwrz/codex_py2cpp.git
  cd codex_py2cpp
  

• Install requirements:

  bash
  pip3 install -r requirements.txt
  

Run Example

To generate C++ code from a Python script, follow the steps below:

1. Read the file simpleScript.py, and feed the corresponding input prompt to OpenAI Codex:

bash
python3 python2cppconverter.py

2. If the generated C++ code compiles successfully, test it with:

bash
.simpleScript.exe

3. You hopefully get the same output as when running:

bash
python3 simpleScript.py

4. Check how much faster you are now:

bash
time .simpleScript.exe
time python3 simpleScript.py

Example Code Generation

python
def add_something(x, y):
    print("casually adding some stuff together")
    z = x + y
    return z

if __name__ == "__main__":
    print("Okay, lets go")
    print(add_something(5, 2))

cpp
#include 
using namespace std;

int add_something(int x, int y) {
    cout << "casually adding some stuff together" << endl;
    int z = x + y;
    return z;
}

int main() {
    cout << "Okay, lets go" << endl;
    cout << add_something(5, 2) << endl;
    return 0;
}

Please test your generated code before usage. Remember, this doesn’t produce robust code conversions but is intended to experiment with Codex. [WIP]

Troubleshooting

If you have issues while installing or running the above, consider the following troubleshooting tips:

• Ensure you have Python 3 and pip installed on your system.
• Verify that you have access to the Codex API (Codex API) as it’s necessary for generating the C++ code.
• If the compilation fails, review the generated C++ code for any syntax errors or missing includes.
• Always test your generated C++ code for expected outputs.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.