pyproject.toml

[build-system]
requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"

[project]
name = "py4cast"
version = "1.0.0"
authors = [
  {name="Météo-France and contributors"},
]
description = "Library to train a variety of Neural Network architectures on various weather forecasting datasets."
readme = "README.md"
requires-python = ">=3.11"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: Apache 2",
    "Operating System :: OS Independent",
]
dynamic = ["dependencies"]
license = {file = "LICENSE-2.0.txt"}
keywords = ["PyTorch", "Deep Learning", "Artificial Intelligence", "Meteo-France"]

[tool.setuptools.packages.find]
namespaces = false

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

[project.urls]
Homepage = "https://github.com/meteofrance/py4cast"

[tool.sourcery-analytics]

[tool.sourcery-analytics.thresholds]
method_length = 58
method_cyclomatic_complexity = 22
method_cognitive_complexity = 34
method_working_memory = 45