pyproject.toml

[build-system]
requires      = ["setuptools>=61.0.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "metats"
version = "0.2.1"
description = "Meta-Learning for Time Series Forecasting"
readme = "README.md"
authors = [{ name = "Sasan Barak", email = "s.barak@soton.ac.uk" },
           { name = "Amirabbas Asadi", email = "amir137825@gmail.com" },
           { name = "Mohammad Joshaghani", email = "mjoshaghani10@gmail.com" }]

license = { file = "LICENSE" }

classifiers = [
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
]
keywords = ["timeseries", "metalearning", "forecasting", "unsupervised learning", "deeplearning", "machine learning"]

dynamic = ["dependencies"]
[tool.setuptools.dynamic]
dependencies = {file = ["requirements.txt"]}


[project.optional-dependencies]
dev = ["pytest", "pdoc"]

[project.urls]
Homepage = "https://drsasanbarak.github.io/metats/"

[project.scripts]
metats = "metats.__main__:main"