autocode-py 0.0.1.post1

AutoCode: Automated Code Improvement by Metrics Optimization

autocode

Auto Code Improvement by Technical Metrics Optimization.

Description

Autocode selects the best values for optimized metrics. The value types could be bool, int, float, and choice (including but not limited to code). This project utilizes a Large Language Model and Mixed-Variable Many-Objective Optimization. Based on our research/literature review, this project hypothetically can contribute to the economic performance of companies.

Features

• Many-software Value-level Mixed-variable Many-objective Optimization.
• Value types include bool, int, float, and choice (code).
• Code scoring and variation generators using LLM.
• Software cross-language support.
• Easy software deployment using docker-compose.
• Scalable to infinite cores to speed up processing in parallel.

How to Use

1. Install the requirements

pip install autocode-py

2. Prepare software to be processed as in the ./example/client folder.
3. Prepare deployment as in the ./example/client-compose.yml file.
4. Prepare controller as in the ./example/controller.ipynb file.
5. Run the process in controller.
6. Open dashboard in http://localhost:{dashboard_port}/ to see the process in real-time.
7. Wait until the process is finished.
8. Analyze and decide the best values.

Demo

• Controller
• Client
• Dashboard

Compatibility

• Python 3.10
• Linux
• Docker