semvec/pypi-packages huggingface dataset:
comaze-gym 0.0.1
OpenAI Gym-compatible implementation of the game CoMaze to benchmark AI on Zero-Shot Emergent Coordination and Communication.
Requires Python: >=3.6

# CoMaze Gym
An OpenAI Gym-compatible implementation of the zero-shot coordination and communication benchmark game CoMaze.

## Description

For an exhaustive description of the game, please refer to [this page](https://marieossenkopf.webnode.com/l/comaze-live-coding-session-at-emecom20/).


## Usage

`gym` must be installed. An Kuhn's poker environment can be created via running inside a `python` interpreter:

```python
>>> import gym
>>> import comaze_gym
>>> env = gym.make('CoMaze-7x7-Sparse-v0')
```

## Installation

### Installing via pip

This package is available in PyPi as `comaze-gym`

```bash
pip install comaze-gym
```

### Installing via cloning this repository

```bash
git clone https://www.github.com/Near32/comaze-gym
cd comaze-gym
pip install -e .
```
dop-python-pip-package 0.0.4
Python utils library

This is a sample python library that can be installed by other projects.

# Making new changes

Remember to run:

```
pipenv shell
```

# Deploying new changes

## Step 1: Update the version number in setup.py

## Step 2: Deploy

```
make install_required
make build_package
make push_to_pypi
```

# Installation

To install, run:

```
pip install dop-python-pip-package
```