pyproject.toml

[build-system]
# PEP 518: The minimum build requirement used in setup.py (before install depndencies)
requires = ["setuptools", "wheel", "pybind11>=2.6.0"]
build-backend = "setuptools.build_meta"

[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q"
testpaths = ["tests"]
filterwarnings = [
    # By default, all warnings are treated as errors
    "error",
    # pytorch warns about vmap usage since it's experimental
    "ignore:torch.vmap is an experimental prototype.*:UserWarning",
    # pandas sometimes complains about binary compatibility with numpy
    "default:numpy.ufunc size changed, may indicate binary incompatibility.*:RuntimeWarning",
    # nbval fspath deprecation not supported in sphinx
    "ignore::DeprecationWarning:nbval",
    # PyTorch 1.10 warns against creating a tensor from a list of numpy arrays
    "default:Creating a tensor from a list of numpy.ndarrays is extremely slow.*:UserWarning",
    # xarray uses a module that's deprecated since setuptools 60.0.0. This has been
    # fixed in xarray/pull/6096, so we can remove this filter with the next xarray
    # release
    "default:distutils Version classes are deprecated.*:DeprecationWarning",
    # statsmodels imports a module that's deprecated since pandas 1.14.0
    "default:pandas.Int64Index is deprecated *:FutureWarning",
    # functorch 0.1.0 imports deprecated _stateless module
    "default:The `torch.nn.utils._stateless` code is deprecated*:DeprecationWarning",
    # BM warns against using torch tensors as arguments of random variables
    "default:PyTorch tensors are hashed by memory address instead of value.*:UserWarning",
    # Arviz warns against the use of deprecated methods, due to the recent release of matplotlib v3.6.0
    "default:The register_cmap function will be deprecated in a future version.*:PendingDeprecationWarning",
    # gpytorch < 1.9.0 uses torch.triangular_solve
    "default:torch.triangular_solve is deprecated*:UserWarning",
    # NNC/TorchInductor warning
    "ignore:The support of TorchInductor is experimental*:UserWarning",
    "ignore:The support of NNC compiler is experimental*:UserWarning",
    # NNC warning introduced in PyTorch 1.13
    "ignore:The TorchScript type system doesn't support*:UserWarning",
]

[tool.usort]
first_party_detection=false