pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "L2LforHPC"
version = "2.0.0-beta"
authors = [
    { name = "Anand Subramoney"},
    { name = "Arjun Rao"},
    { name = "Sandra Diaz-Pier"},
    { name = "Franz Scherr"},
    { name = "Darjan Salaj"},
    { name = "Jakob Jordan"},
    { name = "Nikolaus Kopp"},
    { name = "Daniel Hackhofer"},
    { name = "Sinisa Stekovic"},
    { name = "Thomas Bohnstingl"},
    { name = "Alper Yegenoglu"},
    { name = "Michiel van der Vlag"},
    { name = "Aaron Perez Martin"},
    { name = "Hanna Mohr"},
    { name = "Daniel Todt"},
    { name = "Johannes Wilhelm"},
    { name = "Aitor Morales-Gregorio"},
    { name = "Cristian Jimenez-Romero"},
    { name = "Thorsten Hater"},
    { name = "Wouter Klijn"},
    { name = "Pier Stanislao Paolucci"},
    { name = "Elena Pastorelli"}
]
license = { text = "GPL-3.0-only" }
description = "L2L (Learning-to-learn) contains implementations of various gradient free optimization algorithms. It also makes it easy to optimize (hyper-)parameters for any task."
readme = "README.rst"
requires-python = ">=3.9"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
    "Operating System :: OS Independent",
]
dependencies = [
    "numpy",
    "scipy",
    "pyyaml",
    "sphinx",
    "sphinxjp.themes.basicstrap",
    "sphinx-rtd-theme",
    "jinja2",
    "gitpython",
    "scikit-learn",
    "flake8",
    "deap"
]

[project.urls]
Homepage = "https://github.com/Meta-optimization/L2L"