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🛠️ gigacheck - Simple Tool for Code Quality Checks

GigaCheck helps you ensure your code is clean and efficient. With this easy-to-use tool, you can enhance your programming practices without diving deep into technical jargon.

🚀 Getting Started

Follow these simple steps to download and run GigaCheck.

🖥️ System Requirements

• Windows, macOS, or Linux operating system.
• Python 3.6 or newer installed on your computer.
• At least 1 GB of RAM (greater is recommended for larger projects).

📥 Download & Install

Visit this page to download: GigaCheck Releases.

After reaching the releases page, look for the latest version. Click on the download link for your operating system.

⚙️ Installation Steps

1. Install Python: If you don’t have Python, download and install it from the Python Website.

2. Open Terminal or Command Prompt:
   • On Windows, search for “cmd” or “Command Prompt” in the Start menu.
   • On macOS, open “Terminal” from Applications > Utilities.
   • On Linux, open your preferred terminal application.

3. Install Required Packages: Copy and paste the following commands into your terminal:

   pip install -U setuptools
   pip install -e . && pip install flash-attn==2.7.3 --no-build-isolation
   

   Press Enter after each line to run the commands.

🎛️ Running GigaCheck

After installation, you can start GigaCheck easily. Run the following command in your terminal:

python -m gigacheck

This will launch the GigaCheck application.

📊 How to Use GigaCheck

1. Prepare Your Code: Ensure your code files are organized in a dedicated folder. GigaCheck supports several languages, including Python, JavaScript, and more.

2. Input Your Files: When prompted by the application, provide the path to the directory containing your code files.

3. Run Checks: GigaCheck will analyze your code for quality, style, and potential errors. It will provide you with a detailed report upon completion.

4. Review Results: Take a look at the report generated by GigaCheck. It will highlight areas that need improvement and suggest changes if necessary.

📑 Example Dataset Usage

If you plan to train a classification model using GigaCheck, prepare your dataset in ‘.jsonl’ format. Each line should represent an individual record. Here is an example structure:

{"text": "Your code example or data", "label": "appropriate category"}

Store your dataset in a dedicated folder and point GigaCheck to this directory during analysis.

🚧 Common Issues

• Python Not Installed: Ensure that Python is correctly installed. You can check this by typing python --version in your terminal. If it returns a version number, you’re set.

• Permission Denied Errors: If you encounter permission issues, try running your terminal as an administrator on Windows or using sudo on macOS/Linux.

🔄 Update Procedures

To ensure you’re using the latest version:

1. Return to the GigaCheck Releases Page.
2. Download the latest release.
3. Follow the installation steps above to update your application.

🤝 Support and Feedback

For help, suggestions, or feedback, feel free to open an issue on our GitHub page. We welcome input from all users to improve GigaCheck further.

Keep your code clean and enhance your projects with GigaCheck today!