pyproject.toml

[project]
authors = [{ name = "xarray Developers", email = "xarray@googlegroups.com" }]
classifiers = [
  "Development Status :: 5 - Production/Stable",
  "License :: OSI Approved :: Apache Software License",
  "Operating System :: OS Independent",
  "Intended Audience :: Science/Research",
  "Programming Language :: Python",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Topic :: Scientific/Engineering",
]
description = "N-D labeled arrays and datasets in Python"
dynamic = ["version"]
license = { text = "Apache-2.0" }
name = "xarray"
readme = "README.md"
requires-python = ">=3.10"

dependencies = ["numpy>=1.24", "packaging>=23.2", "pandas>=2.1"]

# We don't encode minimum requirements here (though if we can write a script to
# generate the text from `min_deps_check.py`, that's welcome...). We do add
# `numba>=0.54` here because of https://github.com/astral-sh/uv/issues/7881;
# note that it's not a direct dependency of xarray.

[project.optional-dependencies]
accel = ["scipy", "bottleneck", "numbagg", "numba>=0.54", "flox", "opt_einsum"]
complete = ["xarray[accel,etc,io,parallel,viz]"]
dev = [
  "hypothesis",
  "jinja2",
  "mypy",
  "pre-commit",
  "pytest",
  "pytest-cov",
  "pytest-env",
  "pytest-mypy-plugins",
  "pytest-timeout",
  "pytest-xdist",
  "ruff>=0.8.0",
  "sphinx",
  "sphinx_autosummary_accessors",
  "xarray[complete,types]",
]
io = [
  "netCDF4",
  "h5netcdf",
  "scipy",
  'pydap; python_version<"3.10"',
  "zarr",
  "fsspec",
  "cftime",
  "pooch",
]
etc = ["sparse"]
parallel = ["dask[complete]"]
viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"]
types = [
  "pandas-stubs",
  "types-PyYAML",
  "types-Pygments",
  "types-colorama",
  "types-decorator",
  "types-defusedxml",
  "types-docutils",
  "types-networkx",
  "types-pexpect",
  "types-psutil",
  "types-pycurl",
  "types-python-dateutil",
  "types-pytz",
  "types-setuptools",
]

[project.urls]
Documentation = "https://docs.xarray.dev"
SciPy2015-talk = "https://www.youtube.com/watch?v=X0pAhJgySxk"
homepage = "https://xarray.dev/"
issue-tracker = "https://github.com/pydata/xarray/issues"
source-code = "https://github.com/pydata/xarray"

[project.entry-points."xarray.chunkmanagers"]
dask = "xarray.namedarray.daskmanager:DaskManager"

[build-system]
build-backend = "setuptools.build_meta"
requires = ["setuptools>=42", "setuptools-scm>=7"]

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

[tool.setuptools_scm]
fallback_version = "9999"

[tool.coverage.run]
omit = [
  "*/xarray/tests/*",
  "*/xarray/core/dask_array_compat.py",
  "*/xarray/core/npcompat.py",
  "*/xarray/core/pdcompat.py",
  "*/xarray/core/pycompat.py",
  "*/xarray/core/types.py",
]
source = ["xarray"]

[tool.coverage.report]
exclude_lines = ["pragma: no cover", "if TYPE_CHECKING"]

[tool.mypy]
enable_error_code = ["ignore-without-code", "redundant-self", "redundant-expr"]
exclude = ['build', 'xarray/util/generate_.*\.py']
files = "xarray"
show_error_context = true
warn_redundant_casts = true
warn_unused_configs = true
warn_unused_ignores = true

# Much of the numerical computing stack doesn't have type annotations yet.
[[tool.mypy.overrides]]
ignore_missing_imports = true
module = [
  "affine.*",
  "bottleneck.*",
  "cartopy.*",
  "cf_units.*",
  "cfgrib.*",
  "cftime.*",
  "cloudpickle.*",
  "cubed.*",
  "cupy.*",
  "fsspec.*",
  "h5netcdf.*",
  "h5py.*",
  "iris.*",
  "mpl_toolkits.*",
  "nc_time_axis.*",
  "netCDF4.*",
  "netcdftime.*",
  "numcodecs.*",
  "opt_einsum.*",
  "pint.*",
  "pooch.*",
  "pyarrow.*",
  "pydap.*",
  "scipy.*",
  "seaborn.*",
  "setuptools",
  "sparse.*",
  "toolz.*",
  "zarr.*",
  "numpy.exceptions.*", # remove once support for `numpy<2.0` has been dropped
  "array_api_strict.*",
]

# Gradually we want to add more modules to this list, ratcheting up our total
# coverage. Once a module is here, functions are checked by mypy regardless of
# whether they have type annotations. It would be especially useful to have test
# files listed here, because without them being checked, we don't have a great
# way of testing our annotations.
[[tool.mypy.overrides]]
check_untyped_defs = true
module = [
  "xarray.core.accessor_dt",
  "xarray.core.accessor_str",
  "xarray.core.alignment",
  "xarray.core.computation",
  "xarray.core.rolling_exp",
  "xarray.indexes.*",
  "xarray.tests.*",
]
# This then excludes some modules from the above list. (So ideally we remove
# from here in time...)
[[tool.mypy.overrides]]
check_untyped_defs = false
module = [
  "xarray.tests.test_coarsen",
  "xarray.tests.test_coding_times",
  "xarray.tests.test_combine",
  "xarray.tests.test_computation",
  "xarray.tests.test_concat",
  "xarray.tests.test_coordinates",
  "xarray.tests.test_dask",
  "xarray.tests.test_dataarray",
  "xarray.tests.test_duck_array_ops",
  "xarray.tests.test_indexing",
  "xarray.tests.test_merge",
  "xarray.tests.test_missing",
  "xarray.tests.test_parallelcompat",
  "xarray.tests.test_sparse",
  "xarray.tests.test_ufuncs",
  "xarray.tests.test_units",
  "xarray.tests.test_utils",
  "xarray.tests.test_variable",
  "xarray.tests.test_weighted",
]

# Use strict = true whenever namedarray has become standalone. In the meantime
# don't forget to add all new files related to namedarray here:
# ref: https://mypy.readthedocs.io/en/stable/existing_code.html#introduce-stricter-options
[[tool.mypy.overrides]]
# Start off with these
warn_unused_ignores = true

# Getting these passing should be easy
strict_concatenate = true
strict_equality = true

# Strongly recommend enabling this one as soon as you can
check_untyped_defs = true

# These shouldn't be too much additional work, but may be tricky to
# get passing if you use a lot of untyped libraries
disallow_any_generics = true
disallow_subclassing_any = true
disallow_untyped_decorators = true

# These next few are various gradations of forcing use of type annotations
disallow_incomplete_defs = true
disallow_untyped_calls = true
disallow_untyped_defs = true

# This one isn't too hard to get passing, but return on investment is lower
no_implicit_reexport = true

# This one can be tricky to get passing if you use a lot of untyped libraries
warn_return_any = true

module = ["xarray.namedarray.*", "xarray.tests.test_namedarray"]

# We disable pyright here for now, since including it means that all errors show
# up in devs' VS Code, which then makes it more difficult to work with actual
# errors. It overrides local VS Code settings so isn't escapable.

# [tool.pyright]
# defineConstant = {DEBUG = true}
# # Enabling this means that developers who have disabled the warning locally —
# # because not all dependencies are installable — are overridden
# # reportMissingImports = true
# reportMissingTypeStubs = false

[tool.ruff]
extend-exclude = ["doc", "_typed_ops.pyi"]

[tool.ruff.lint]
extend-select = [
  "F",    # Pyflakes
  "E",    # pycodestyle errors
  "W",    # pycodestyle warnings
  "I",    # isort
  "UP",   # pyupgrade
  "B",    # flake8-bugbear
  "C4",   # flake8-comprehensions
  "PIE",  # flake8-pie
  "TID",  # flake8-tidy-imports (absolute imports)
  "PGH",  # pygrep-hooks
  "PERF", # Perflint
  "RUF",
]
extend-safe-fixes = [
  "TID252", # absolute imports
]
ignore = [
  "E402",    # module level import not at top of file
  "E501",    # line too long - let the formatter worry about that
  "E731",    # do not assign a lambda expression, use a def
  "UP007",   # use X | Y for type annotations
  "C40",     # unnecessary generator, comprehension, or literal
  "PIE790",  # unnecessary pass statement
  "PERF203", # try-except within a loop incurs performance overhead
  "RUF001",  # string contains ambiguous unicode character
  "RUF002",  # docstring contains ambiguous acute accent unicode character
  "RUF003",  # comment contains ambiguous no-break space unicode character
  "RUF005",  # consider upacking operator instead of concatenation
  "RUF012",  # mutable class attributes
]


[tool.ruff.lint.per-file-ignores]
# don't enforce absolute imports
"asv_bench/**" = ["TID252"]

[tool.ruff.lint.isort]
known-first-party = ["xarray"]

[tool.ruff.lint.flake8-tidy-imports]
# Disallow all relative imports.
ban-relative-imports = "all"

[tool.pytest.ini_options]
addopts = [
  "--strict-config",
  "--strict-markers",
  "--mypy-only-local-stub",
  "--mypy-pyproject-toml-file=pyproject.toml",
]

# We want to forbid warnings from within xarray in our tests — instead we should
# fix our own code, or mark the test itself as expecting a warning. So this:
# - Converts any warning from xarray into an error
# - Allows some warnings ("default") which the test suite currently raises,
#   since it wasn't practical to fix them all before merging this config. The
#   warnings are reported in CI (since it uses `default`, not `ignore`).
#
# Over time, we can remove these rules allowing warnings. A valued contribution
# is removing a line, seeing what breaks, and then fixing the library code or
# tests so that it doesn't raise warnings.
#
# There are some instance where we'll want to add to these rules:
# - While we only raise errors on warnings from within xarray, a dependency can
#   raise a warning with a stacklevel such that it's interpreted to be raised
#   from xarray and this will mistakenly convert it to an error. If that
#   happens, please feel free to add a rule switching it to `default` here, and
#   disabling the error.
# - If these settings get in the way of making progress, it's also acceptable to
#   temporarily add additional `default` rules.
# - But we should only add `ignore` rules if we're confident that we'll never
#   need to address a warning.

filterwarnings = [
  "error:::xarray.*",
  "default:No index created:UserWarning:xarray.core.dataset",
  "default::UserWarning:xarray.tests.test_coding_times",
  "default::UserWarning:xarray.tests.test_computation",
  "default::UserWarning:xarray.tests.test_dataset",
  "default:`ancestors` has been deprecated:DeprecationWarning:xarray.core.treenode",
  "default:`iter_lineage` has been deprecated:DeprecationWarning:xarray.core.treenode",
  "default:`lineage` has been deprecated:DeprecationWarning:xarray.core.treenode",
  "default:coords should be an ndarray:DeprecationWarning:xarray.tests.test_variable",
  "default:deallocating CachingFileManager:RuntimeWarning:xarray.backends.*",
  "default:deallocating CachingFileManager:RuntimeWarning:xarray.backends.netCDF4_",
  "default:deallocating CachingFileManager:RuntimeWarning:xarray.core.indexing",
  "default:Failed to decode variable.*NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays:DeprecationWarning",
  "default:The `interpolation` argument to quantile was renamed to `method`:FutureWarning:xarray.*",
  "default:invalid value encountered in cast:RuntimeWarning:xarray.core.duck_array_ops",
  "default:invalid value encountered in cast:RuntimeWarning:xarray.conventions",
  "default:invalid value encountered in cast:RuntimeWarning:xarray.tests.test_units",
  "default:invalid value encountered in cast:RuntimeWarning:xarray.tests.test_array_api",
  "default:NumPy will stop allowing conversion of:DeprecationWarning",
  "default:shape should be provided:DeprecationWarning:xarray.tests.test_variable",
  "default:the `pandas.MultiIndex` object:FutureWarning:xarray.tests.test_variable",
  "default:Using a non-tuple sequence for multidimensional indexing is deprecated:FutureWarning",
  "default:Duplicate dimension names present:UserWarning:xarray.namedarray.core",
  # TODO: this is raised for vlen-utf8, consolidated metadata, U1 dtype
  "ignore:is currently not part .* the Zarr version 3 specification.",
  # TODO: remove once we know how to deal with a changed signature in protocols
  "default:::xarray.tests.test_strategies",
]

log_cli_level = "INFO"
markers = [
  "flaky: flaky tests",
  "mypy: type annotation tests",
  "network: tests requiring a network connection",
  "slow: slow tests",
  "slow_hypothesis: slow hypothesis tests",
]
minversion = "7"
python_files = "test_*.py"
testpaths = ["xarray/tests", "properties"]

[tool.aliases]
test = "pytest"

[tool.repo-review]
ignore = [
  "PP308", # This option creates a large amount of log lines.
]

[tool.typos]

[tool.typos.default]
extend-ignore-identifiers-re = [
  # Variable names
  "nd_.*",
  ".*_nd",
  "ba_.*",
  ".*_ba",
  "ser_.*",
  ".*_ser",
  # Function/class names
  "NDArray.*",
  ".*NDArray.*",
]

[tool.typos.default.extend-words]
# NumPy function names
arange = "arange"

# Technical terms
nd = "nd"
nin = "nin"

# Variable names
ba = "ba"
ser = "ser"
fo = "fo"
iy = "iy"
vart = "vart"
ede = "ede"

# Organization/Institution names
Stichting = "Stichting"
Mathematisch = "Mathematisch"

# People's names
Soler = "Soler"
Bruning = "Bruning"
Tung = "Tung"
Claus = "Claus"
Celles = "Celles"
slowy = "slowy"
Commun = "Commun"

# Tests
Ome = "Ome"
SUR = "SUR"
Tio = "Tio"
Ono = "Ono"
abl = "abl"

# Technical terms
splitted = "splitted"
childs = "childs"
cutted = "cutted"
LOCA = "LOCA"

[tool.typos.type.jupyter]
extend-ignore-re = ["\"id\": \".*\""]