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Accenta.AI Gym Environement

Project description

Copyright (c) 2019-2022 Accenta (www.accenta.ai)

Description

Accenta Gym Environment

Note:

This project is still in beta stage, so the API is not finalized yet.

Dependencies

C.f. requirements.txt

Installation

Posix (Linux, MacOSX, WSL, …)

From the EnergyPlus Python source code:

conda deactivate         # Only if you use Anaconda...
python3 -m venv env
source env/bin/activate
python3 -m pip install --upgrade pip
python3 -m pip install -r requirements.txt
python3 setup.py develop

Windows

From the EnergyPlus Python source code:

conda deactivate         # Only if you use Anaconda...
python3 -m venv env
env\Scripts\activate.bat
python3 -m pip install --upgrade pip
python3 -m pip install -r requirements.txt
python3 setup.py develop

Build and run the Accenta Gym Environment Docker image

Build the docker image

From the EnergyPlus Python source code:

docker build -t registry.gitlab.com/ens-data-challenge/accenta-gym-environment .

Run unit tests from the docker container

From the EnergyPlus Python source code:

docker run registry.gitlab.com/ens-data-challenge/accenta-gym-environment pytest

Run an example from the docker container

From the EnergyPlus Python source code:

docker run registry.gitlab.com/ens-data-challenge/accenta-gym-environment python3 /rlenv/examples/plot_wall_env.py

Push the docker image on the container registry

From the EnergyPlus Python source code:

docker push registry.gitlab.com/ens-data-challenge/accenta-gym-environment

Documentation

Example usage

C.f. https://ens-data-challenge.gitlab.io/accenta-gym-environment/gallery/

Bug reports

To search for bugs or report them, please use the Accenta’s Gym Environments Bug Tracker at:

https://gitlab.com/accenta_group/ai-gym/issues

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