Installation¶

This section explains how to install the custom_grid_env library on your system.

Prerequisites¶

Make sure you have Python 3.8 or newer installed. It is recommended to use a virtual environment.

Installation from Source¶

Clone the repository:

git clone https://github.com/dgaida/adversarial2dEnvAI.git
cd adversarial2dEnvAI

Install the package in editable mode:
```
pip install -e .
```

This will install all necessary dependencies such as gymnasium, numpy, pygame, tensorflow, matplotlib, and scikit-learn.

Installation with Anaconda¶

If you use Anaconda or Miniconda, you can create the environment directly from the environment.yml file:

# Create and activate the environment
conda env create -f environment.yml
conda activate custom_grid_env

# Install the package in editable mode
pip install -e .

Verification¶

You can verify the installation by trying to import the package in Python:

import custom_grid_env
print(custom_grid_env.__version__)