235 lines
8.3 KiB
RPMSpec
235 lines
8.3 KiB
RPMSpec
%global srcname dask
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# Requires distributed, which is a loop.
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# Also, some tests require packages that require dask itself.
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# Force bootstrap for package review.
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%bcond_without bootstrap
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# We have an arched package to detect arch-dependent issues in dependencies,
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# but all of the installable RPMs are noarch and there is no compiled code.
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%global debug_package %{nil}
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Name: python-%{srcname}
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Version: 2023.1.0
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%global tag 2023.1.0
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Release: %autorelease
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Summary: Parallel PyData with Task Scheduling
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License: BSD-3-Clause
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URL: https://github.com/dask/dask
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Source0: %{pypi_source %{srcname}}
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# https://github.com/dask/dask/issues/6725
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Patch: 0001-Skip-test_encoding_gh601-on-big-endian-machines.patch
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%description
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Dask is a flexible parallel computing library for analytics.
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%package -n python3-%{srcname}
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Summary: %{summary}
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BuildArch: noarch
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BuildRequires: python3-devel
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BuildRequires: python3dist(graphviz)
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BuildRequires: python3dist(ipython)
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%if %{without bootstrap}
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BuildRequires: python3dist(scikit-image)
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BuildRequires: python3dist(xarray)
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%endif
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# Optional test requirements.
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# Fastavro does not support 32 bit architectures and is ExcludeArch:
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# https://bugzilla.redhat.com/show_bug.cgi?id=1943932
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%ifnarch %{arm32} %{ix86}
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BuildRequires: python3dist(fastavro)
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%endif
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BuildRequires: python3dist(h5py)
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BuildRequires: python3dist(psutil)
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# libarrow does not support 32 bit architectures and is ExcludeArch.
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# Tests don't pass on s390x either.
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%ifnarch %{arm} %{ix86} s390x
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BuildRequires: python3dist(pyarrow)
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%endif
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BuildRequires: python3dist(requests)
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BuildRequires: python3dist(sqlalchemy)
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BuildRequires: python3dist(tables)
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BuildRequires: python3dist(zarr)
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Recommends: python3-%{srcname}+array = %{version}-%{release}
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Recommends: python3-%{srcname}+bag = %{version}-%{release}
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Recommends: python3-%{srcname}+dataframe = %{version}-%{release}
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Recommends: python3-%{srcname}+delayed = %{version}-%{release}
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%if %{without bootstrap}
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Recommends: python3-%{srcname}+distributed = %{version}-%{release}
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%endif
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# No recent enough Bokeh is packaged
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Obsoletes: python3-%{srcname}+diagnostics < 2022.5.0-1
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# There is nothing that can be unbundled; there are some some snippets forked
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# or copied from unspecified versions of numpy, under a BSD-3-Clause license
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# similar to that of dask itself.
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#
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# - dask/array/numpy_compat.py:
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# _Recurser, moveaxis, rollaxis, sliding_window_view
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# - dask/array/backends.py:
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# _tensordot
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# - dask/array/core.py:
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# block
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# - dask/array/einsumfuncs.py:
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# parse_einsum_input
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# - dask/array/routines.py:
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# cov, _average
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Provides: bundled(numpy)
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%description -n python3-%{srcname}
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Dask is a flexible parallel computing library for analytics.
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%pyproject_extras_subpkg -n python3-%{srcname} array bag dataframe delayed
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%if %{without bootstrap}
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%pyproject_extras_subpkg distributed
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%endif
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%if %{without bootstrap}
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%package -n python-%{srcname}-doc
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Summary: dask documentation
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BuildArch: noarch
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BuildRequires: python3dist(dask_sphinx_theme) >= 1.3.5
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BuildRequires: python3dist(numpydoc)
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BuildRequires: python3dist(sphinx) >= 4
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%description -n python-%{srcname}-doc
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Documentation for dask.
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%endif
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%prep
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%autosetup -n %{srcname}-%{version} -p1
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# we don't use pre-commit when running tests
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sed -i '/"pre-commit"/d' setup.py
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%generate_buildrequires
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%pyproject_buildrequires -r -x test,array,bag,dataframe,delayed
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%if %{without bootstrap}
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%pyproject_buildrequires -x distributed
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%endif
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%build
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%pyproject_wheel
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%if %{without bootstrap}
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# generate html docs
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PYTHONPATH=${PWD} sphinx-build-3 docs/source html
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# remove the sphinx-build leftovers
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rm -rf html/.{doctrees,buildinfo}
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%endif
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%install
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%pyproject_install
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%pyproject_save_files %{srcname}
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%check
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%ifarch arm
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# Is there a way to do this in one line?
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%global have_arm 1
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%endif
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%if 0%{?__isa_bits} == 32
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# read_sql_query with meta converts dtypes from 32 to 64.
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# https://github.com/dask/dask/issues/8620
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# > tm.assert_frame_equal(
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# a, b, check_names=check_names, check_dtype=check_dtype, **kwargs
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# E AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="age") are different
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# E
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# E Attribute "dtype" are different
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# E [left]: int32
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# E [right]: int64
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# dask/dataframe/utils.py:555: AssertionError
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k="${k-}${k+ and }not test_query_with_meta"
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%endif
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%ifarch ppc64le
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# TODO: Should this be reported upstream? Is it a dask issue, or a numpy one?
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# Possibly related to
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# https://fedoraproject.org/wiki/Changes/PPC64LE_Float128_Transition?
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# > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg
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# E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount
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# E assert False
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# E + where False = allclose(array([0.12586355-0.09957204j, 0.20256483+0.04098342j,\n 0.05781123-0.03588671j, 0.01135963-0.03334219j,\n 0.03747771+0.07495994j, 0.2106574 -0.0363521j ,\n 0.16352091+0.03782915j, 0.1381678 -0.06815128j,\n 0.03781295-0.04011523j, 0.01493269+0.07780643j]), array([0.12559072-0.07164038j, 0.20256483+0.05438578j,\n 0.05781123-0.03588671j, 0.01135963-0.03334219j,\n 0.03747771+0.07495994j, 0.2106574 -0.0363521j ,\n 0.16352091+0.03782915j, 0.1381678 -0.06815128j,\n 0.03781295-0.04011523j, 0.01493269+0.07780643j]), equal_nan=True, **{})
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# dask/array/utils.py:361: AssertionError
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k="${k-}${k+ and }not test_lstsq[100-10-10-True]"
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# > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg
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# E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount
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# E assert False
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# E + where False = allclose(array([ 0.20168675+0.08857556j, 0.144233 -0.19173091j,\n -0.03367557-0.08053959j, 0.04108325-0.24648308j,\n -0.01844576+0.00841932j, 0.29652375+0.05682199j,\n 0.05551828+0.20156798j, -0.08409592+0.02354949j,\n 0.09848743-0.00748637j, 0.22889193-0.07372773j]), array([ 0.20067551+0.2642591j , 0.144233 -0.18573336j,\n -0.03367557-0.08053959j, 0.04108325-0.24648308j,\n -0.01844576+0.00841932j, 0.29652375+0.05682199j,\n 0.05551828+0.20156798j, -0.08409592+0.02354949j,\n 0.09848743-0.00748637j, 0.22889193-0.07372773j]), equal_nan=True, **{})
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# dask/array/utils.py:361: AssertionError
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k="${k-}${k+ and }not test_lstsq[20-10-5-True]"
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# test_vdot fails with NumPy 1.19.0
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# https://github.com/dask/dask/issues/6406
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#
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# vdot returns incorrect results on ppc64le
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# https://github.com/numpy/numpy/issues/17087
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# > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg
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# E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount
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# E assert False
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# E + where False = allclose((0.38772781971416226-0.6851997484294434j), (0.38772781971416226-0.306563166009585j), equal_nan=True, **{})
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# dask/array/utils.py:361: AssertionError
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k="${k-}${k+ and }not test_vdot[shape0-chunks0]"
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# > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg
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# E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount
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# E assert False
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# E + where False = allclose((0.38772781971416226-0.6851997484294434j), (0.38772781971416226-0.306563166009585j), equal_nan=True, **{})
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# dask/array/utils.py:361: AssertionError
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k="${k-}${k+ and }not test_vdot[shape1-chunks1]"
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%endif
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# This test compares against files in .github/. It does not work on the PyPI
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# sdist, and is only relevant to upstream CI anyway.
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#
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# test_development_guidelines_matches_ci fails from sdist
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# https://github.com/dask/dask/issues/8499
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k="${k-}${k+ and }not test_development_guidelines_matches_ci"
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pytest_args=(
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-m 'not network'
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-n %[0%{?have_arm}?"2":"auto"]
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# Ignore https://github.com/numpy/numpy/issues/20225 and Pandas issues
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-W ignore::DeprecationWarning
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-k "${k-}"
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--pyargs dask
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)
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cd docs
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%{pytest} "${pytest_args[@]}"
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%files -n python3-%{srcname} -f %{pyproject_files}
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%doc README.rst
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%license LICENSE.txt dask/array/NUMPY_LICENSE.txt
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%{_bindir}/dask
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%if %{without bootstrap}
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%files -n python-%{srcname}-doc
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%doc html
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%license LICENSE.txt dask/array/NUMPY_LICENSE.txt
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%endif
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%changelog
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%autochangelog
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