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# Copyright 1999-2024 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{10..12} )
inherit distutils-r1 pypi
DESCRIPTION="N-D labeled arrays and datasets in Python"
HOMEPAGE="
https://xarray.pydata.org/
https://github.com/pydata/xarray/
https://pypi.org/project/xarray/
"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64 arm ~arm64 ~hppa ~loong ~ppc ppc64 ~riscv ~s390 ~sparc ~x86"
IUSE="big-endian"
RDEPEND="
>=dev-python/numpy-1.23[${PYTHON_USEDEP}]
>=dev-python/pandas-1.5[${PYTHON_USEDEP}]
>=dev-python/packaging-22[${PYTHON_USEDEP}]
"
# note: most of the test dependencies are optional
BDEPEND="
dev-python/setuptools-scm[${PYTHON_USEDEP}]
test? (
dev-python/bottleneck[${PYTHON_USEDEP}]
dev-python/hypothesis[${PYTHON_USEDEP}]
dev-python/matplotlib[${PYTHON_USEDEP}]
dev-python/toolz[${PYTHON_USEDEP}]
!hppa? ( >=dev-python/scipy-1.4[${PYTHON_USEDEP}] )
)
"
EPYTEST_XDIST=1
distutils_enable_tests pytest
EPYTEST_DESELECT=(
# warning-targeted tests are fragile and not important to end users
xarray/tests/test_backends.py::test_no_warning_from_dask_effective_get
# TODO: segv in netcdf4-python
'xarray/tests/test_backends.py::test_open_mfdataset_manyfiles[netcdf4-20-True-5-5]'
'xarray/tests/test_backends.py::test_open_mfdataset_manyfiles[netcdf4-20-True-5-None]'
'xarray/tests/test_backends.py::test_open_mfdataset_manyfiles[netcdf4-20-True-None-5]'
'xarray/tests/test_backends.py::test_open_mfdataset_manyfiles[netcdf4-20-True-None-None]'
xarray/tests/test_backends.py::TestDask::test_save_mfdataset_compute_false_roundtrip
# TODO: broken
xarray/tests/test_backends.py::TestNetCDF4Data
xarray/tests/test_backends.py::TestNetCDF4ViaDaskData
# hangs
xarray/tests/test_backends.py::TestDask::test_dask_roundtrip
# mismatches when pyarrow is installed
# https://github.com/pydata/xarray/issues/8092
xarray/tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_2D
xarray/tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_not_daskarray
)
python_test() {
local -x PYTEST_DISABLE_PLUGIN_AUTOLOAD=1
if ! has_version ">=dev-python/scipy-1.4[${PYTHON_USEDEP}]" ; then
EPYTEST_DESELECT+=(
'xarray/tests/test_missing.py::test_interpolate_na_2d[coords1]'
)
fi
if use big-endian ; then
EPYTEST_DESELECT+=(
# Appears to be a numpy issue in display? See bug #916460.
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:12:43.145224193-ns-int64-20-True]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1970-09-21T00:12:44.145224808-ns-float64-1e+30-True]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:12:43.145225216-ns-float64--9.223372036854776e+18-True]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:12:43.145224193-ns-int64-None-False]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:12:43.145225-us-int64-None-False]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1970-01-01T00:00:01.000001-us-int64-None-False]'
'xarray/tests/test_coding_times.py::test_roundtrip_datetime64_nanosecond_precision[1677-09-21T00:21:52.901038080-ns-float32-20.0-True]'
)
fi
epytest
}
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