Prep_Tester

Prep_Tester is a Python-based tool to help with preparation and testing your knowlege This guide will walk you through the steps to run Prep_Tester on your local machine.

Prerequisites

Before running Prep_Tester, ensure that you have the following installed:

• Python (version >= 13.5)
• pip (Python package manager) to install dependencies.

If you're using a virtual environment (which is recommended), ensure you have virtualenv installed:

pip install virtualenv

Steps to Run Prep_Tester

1. Clone the Repository

Start by cloning the repository to your local machine:

git clone https://github.com/akash1512485/Prep_Tester.git

2. Navigate to the Project Directory

After cloning the repository, move into the project folder:

cd Prep_Tester

3. Set Up the Virtual Environment (Optional but Recommended)

If you prefer to use a virtual environment to avoid conflicts with your global Python installation:

• Create a virtual environment:

  python -m venv venv

• Activate the virtual environment:

  • On Windows:

    .\venv\Scripts\activate

  • On Mac/Linux:

    source venv/bin/activate

4. Install Dependencies

Ensure that all the required dependencies are installed using pip. This will install all packages listed in the requirements.txt file:

pip install -r requirements.txt

5. Run the Project

Now that everything is set up, you can run Prep_Tester by executing the main Python file.

• If the main file is named prep_tester.py, you can run it like this:

  python prep_tester.py

6. Using Command-Line Arguments (Optional)

If your project accepts command-line arguments or flags, you can include them when running the script. For example:

python prep_tester.py --option1 value1 --option2 value2

Check the documentation or use the --help flag to see available options:

python prep_tester.py --help

7. [Any Additional Configuration]

If your project requires any additional configuration files, API keys, or setup steps, include instructions here.

For example:

• Create a .env file for environment variables:

  TOUCH .env

• Add any required variables to .env:

  API_KEY=your_api_key_here

Troubleshooting

If you run into issues, here are some common troubleshooting steps:

• Missing dependencies: Ensure that all dependencies were installed by running pip install -r requirements.txt.
• Version issues: Double-check that you're using the correct version of Python and that the virtual environment is activated.
• Permission issues: On some systems, you may need to run with sudo or check file/folder permissions.

Contributing

If you want to contribute to Prep_Tester, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Push to your fork (git push origin feature-branch).
5. Open a pull request.

Final Thoughts

This is a general guideline on running the Prep_Tester project. If there are any specific configurations or steps you want to include, let me know and I can refine it further!