setup.cfg

[bdist_wheel]
universal = 1

[flake8]
ignore = W503
# allowing doctests
max-line-length = 93

[black]
line-length = 88

[isort]
known_first_party=climpred
multi_line_output=3
include_trailing_comma=True
force_grid_wrap=0
use_parentheses=True
line_length = 88
combine_as_imports=True
skip=
    docs/source/conf.py
    setup.py

[tool:pytest]
python_files=test_*.py
testpaths=climpred/tests
filterwarnings =
    # from xarray
    ignore:Using a non-tuple sequence for multidimensional indexing is deprecated:FutureWarning
    # upstream xarray
    ignore: Mean of empty slice:RuntimeWarning
    # upstream xarray
    ignore:dropping variables using `drop` will be deprecated; using drop_vars is encouraged:PendingDeprecationWarning
    # only shows up during CI: no idea where its coming from, something inside bootstrapping
    ignore:`np.alen` is deprecated, use `len` instead:DeprecationWarning
    # ignore UserWarnings raise by warnings.warn() which do not break functionality
    # therefore ignore in testing
    ignore::UserWarning
    # from xarray
    ignore:tostring:DeprecationWarning
    # from properscoring
    ignore: invalid value encountered:RuntimeWarning
    ignore: divide by zero:RuntimeWarning
    # from xarray
    ignore: 'base' in .resample():FutureWarning
    # matplotlib
    ignore: More than 20 figures:RuntimeWarning
    # numpy https://stackoverflow.com/questions/40659212/futurewarning-elementwise-comparison-failed-returning-scalar-but-in-the-futur#46721064
    ignore: elementwise comparison failed
    # pydap
    ignore: Using or importing the ABCs from
    # xarray
    ignore: Passing method to CFTimeIndex.get_loc is deprecated
    # statsmodels
    ignore: pandas.Int64Index is deprecated
markers =
    mistral: tests requiring being on MPI supercomputer
    markers =
    slow: marks tests as slow (deselect with '-m "not slow"')
    serial

[aliases]
test = pytest

[doc8]
max-line-length=88
ignore-path=climpred/tests

[mypy]
exclude = asv_bench|doc
files = .
show_error_codes = True

# Most of the numerical computing stack doesn't have type annotations yet.
[mypy-bottleneck.*]
ignore_missing_imports = True
[mypy-cftime.*]
ignore_missing_imports = True
[mypy-dask.*]
ignore_missing_imports = True
[mypy-distributed.*]
ignore_missing_imports = True
[mypy-fsspec.*]
ignore_missing_imports = True
[mypy-matplotlib.*]
ignore_missing_imports = True
[mypy-nc_time_axis.*]
ignore_missing_imports = True
[mypy-numpy.*]
ignore_missing_imports = True
[mypy-netCDF4.*]
ignore_missing_imports = True
[mypy-pandas.*]
ignore_missing_imports = True
[mypy-pytest.*]
ignore_missing_imports = True
[mypy-scipy.*]
ignore_missing_imports = True
[mypy-setuptools]
ignore_missing_imports = True
[mypy-toolz.*]
ignore_missing_imports = True
# version spanning code is hard to type annotate (and most of this module will
# be going away soon anyways)
[mypy-xarray.core.pycompat]
ignore_errors = True