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An open source Python library for mathematical optimization

Project description

Copyright (c) 2014-2024 Jérémie DECOCK <jd.jdhp@gmail.com> (www.jdhp.org)

Description

An open source Python library for mathematical optimization

Note:

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

Dependencies

PyEALib requires Python 3.11 (or newer) and Python packages listed in the requirements.txt file.

Installation (development environment)

Posix (Linux, MacOSX, WSL, …)

From the PyEALib 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-dev.txt

Windows

From the PyEALib 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-dev.txt

Installation (production environment)

pip install ealib

Documentation

Build and run the Python Docker image

Build the docker image

From the PyEALib source code:

docker build -t ealib:latest .

Run unit tests from the docker container

From the PyEALib source code:

docker run ealib pytest

Run an example from the docker container

From the PyEALib source code:

docker run ealib python3 /app/examples/hello.py

Bug reports

To search for bugs or report them, please use the PyEALib Bug Tracker at:

https://gitlab.com/jdhp-dev/ealib/issues

License

This project is provided under the terms and conditions of the MIT License.

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