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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!