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 :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "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 = ">=3.9"

dependencies = [
  "numpy>=1.23",
  "packaging>=22",
  "pandas>=1.5",
]

[project.optional-dependencies]
accel = ["scipy", "bottleneck", "numbagg", "flox", "opt_einsum"]
complete = ["xarray[accel,io,parallel,viz,dev]"]
dev = [
  "hypothesis",
  "pre-commit",
  "pytest",
  "pytest-cov",
  "pytest-env",
  "pytest-xdist",
  "pytest-timeout",
  "ruff",
  "xarray[complete]",
]
io = ["netCDF4", "h5netcdf", "scipy", 'pydap; python_version<"3.10"', "zarr", "fsspec", "cftime", "pooch"]
parallel = ["dask[complete]"]
viz = ["matplotlib", "seaborn", "nc-time-axis"]

[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.core.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 = "redundant-self"
exclude = [
	'xarray/util/generate_.*\.py',
	'xarray/datatree_/.*\.py',
]
files = "xarray"
show_error_codes = true
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.*",
  "dask.types.*",
  "fsspec.*",
  "h5netcdf.*",
  "h5py.*",
  "iris.*",
  "matplotlib.*",
  "mpl_toolkits.*",
  "Nio.*",
  "nc_time_axis.*",
  "numbagg.*",
  "netCDF4.*",
  "netcdftime.*",
  "opt_einsum.*",
  "pandas.*",
  "pooch.*",
  "pydap.*",
  "pytest.*",
  "scipy.*",
  "seaborn.*",
  "setuptools",
  "sparse.*",
  "toolz.*",
  "zarr.*",
  "numpy.exceptions.*", # remove once support for `numpy<2.0` has been dropped
]

# 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_groupby",
  "xarray.tests.test_indexing",
  "xarray.tests.test_merge",
  "xarray.tests.test_missing",
  "xarray.tests.test_parallelcompat",
  "xarray.tests.test_plot",
  "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"]

[tool.pyright]
# include = ["src"]
# exclude = ["**/node_modules",
# "**/__pycache__",
# "src/experimental",
# "src/typestubs"
# ]
# ignore = ["src/oldstuff"]
defineConstant = {DEBUG = true}
# stubPath = "src/stubs"
# venv = "env367"

# Enabling this means that developers who have disabled the warning locally —
# because not all dependencies are installable — are overridden
# reportMissingImports = true
reportMissingTypeStubs = false

# pythonVersion = "3.6"
# pythonPlatform = "Linux"

# executionEnvironments = [
# { root = "src/web", pythonVersion = "3.5", pythonPlatform = "Windows", extraPaths = [ "src/service_libs" ] },
# { root = "src/sdk", pythonVersion = "3.0", extraPaths = [ "src/backend" ] },
# { root = "src/tests", extraPaths = ["src/tests/e2e", "src/sdk" ]},
# { root = "src" }
# ]

[tool.ruff]
builtins = ["ellipsis"]
extend-exclude = [
  "doc",
  "_typed_ops.pyi",
]
extend-safe-fixes = [
  "TID252", # absolute imports
]
target-version = "py39"

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

[tool.ruff.lint]
# E402: module level import not at top of file
# E501: line too long - let black worry about that
# E731: do not assign a lambda expression, use a def
ignore = [
  "E402",
  "E501",
  "E731",
]
select = [
  "F", # Pyflakes
  "E", # Pycodestyle
  "W",
  "TID", # flake8-tidy-imports (absolute imports)
  "I", # isort
  "UP", # Pyupgrade
]

[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"]
filterwarnings = [
  "ignore:Using a non-tuple sequence for multidimensional indexing is deprecated:FutureWarning",
]
log_cli_level = "INFO"
markers = [
  "flaky: flaky tests",
  "network: tests requiring a network connection",
  "slow: slow 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.
]