pycurious/pyproject.toml at master · brmather/pycurious · GitHub

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[build-system]
requires = ["setuptools>=77", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "pycurious"
version = "2.0"
description = "Python tool for computing the Curie depth from magnetic data"
readme = "README.md"
requires-python = ">=3.9"
license = "LGPL-3.0-or-later"
license-files = ["COPYING", "COPYING.LESSER"]
authors = [
    { name = "Ben Mather", email = "brmather1@gmail.com" },
]
keywords = ["geophysics", "magnetics", "curie depth", "spectral analysis"]

# Only numpy and scipy are imported at package import time. Everything else is
# imported lazily inside the function that needs it, so it belongs in an extra.
dependencies = [
    "numpy>=1.20",
    "scipy>=1.5",
]

classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
]

[project.urls]
Homepage = "https://github.com/brmather/pycurious"
Repository = "https://github.com/brmather/pycurious"

[project.optional-dependencies]
# pycurious.download.download_file and friends
download = ["requests"]
# pycurious.mapping: projections and netCDF I/O
mapping = ["pyproj", "netCDF4"]
# pycurious.mapping.export_geotiff / import_geotiff. Kept out of `mapping`
# because the GDAL bindings need a matching libgdal already on the system,
# so requiring them would make `pip install pycurious[mapping]` fail for
# most users. Conda installs this more easily than pip.
geotiff = ["gdal"]
# running the example notebooks
examples = ["matplotlib", "jupyter", "cartopy", "pyproj"]
test = ["pytest"]
# building the Sphinx documentation. myst-nb pulls in myst-parser, so a single
# parser handles both the Markdown pages and the tutorial notebooks. Building
# the tutorials also needs the `examples` (and `mapping`) extras so the
# notebooks execute.
docs = ["sphinx", "furo", "myst-nb", "sphinx-copybutton"]

[tool.setuptools]
packages = ["pycurious"]

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
    # calibrating a reported uncertainty means fitting a few hundred
    # independent realisations, which is minutes rather than seconds.
    # Run the rest with -m "not slow".
    "slow: takes minutes, not seconds",
]