%global srcname dask # Requires distributed, which is a loop. # Also, some tests require packages that require dask itself. # Force bootstrap for package review. %bcond_without bootstrap # We have an arched package to detect arch-dependent issues in dependencies, # but all of the installable RPMs are noarch and there is no compiled code. %global debug_package %{nil} Name: python-%{srcname} Version: 2023.4.1 %global tag 2023.4.1 Release: %autorelease Summary: Parallel PyData with Task Scheduling License: BSD-3-Clause URL: https://github.com/dask/dask Source0: %{pypi_source %{srcname}} # https://github.com/dask/dask/issues/6725 Patch: 0001-Skip-test_encoding_gh601-on-big-endian-machines.patch # Fedora-specific patch. Patch: 0002-Skip-coverage-testing.patch %description Dask is a flexible parallel computing library for analytics. %package -n python3-%{srcname} Summary: %{summary} BuildArch: noarch BuildRequires: python3-devel BuildRequires: python3dist(graphviz) BuildRequires: python3dist(ipython) %if %{without bootstrap} BuildRequires: python3dist(scikit-image) BuildRequires: python3dist(xarray) %endif # Optional test requirements. # Fastavro does not support 32 bit architectures and is ExcludeArch: # https://bugzilla.redhat.com/show_bug.cgi?id=1943932 %ifnarch %{arm32} %{ix86} BuildRequires: python3dist(fastavro) %endif BuildRequires: python3dist(h5py) BuildRequires: python3dist(psutil) # libarrow does not support 32 bit architectures and is ExcludeArch. # Tests don't pass on s390x either. %ifnarch %{arm} %{ix86} s390x BuildRequires: python3dist(pyarrow) %endif BuildRequires: python3dist(requests) BuildRequires: python3dist(sqlalchemy) BuildRequires: python3dist(tables) BuildRequires: python3dist(zarr) Recommends: python3-%{srcname}+array = %{version}-%{release} Recommends: python3-%{srcname}+bag = %{version}-%{release} Recommends: python3-%{srcname}+dataframe = %{version}-%{release} Recommends: python3-%{srcname}+delayed = %{version}-%{release} %if %{without bootstrap} Recommends: python3-%{srcname}+distributed = %{version}-%{release} %endif # No recent enough Bokeh is packaged Obsoletes: python3-%{srcname}+diagnostics < 2022.5.0-1 # There is nothing that can be unbundled; there are some some snippets forked # or copied from unspecified versions of numpy, under a BSD-3-Clause license # similar to that of dask itself. # # - dask/array/numpy_compat.py: # _Recurser, moveaxis, rollaxis, sliding_window_view # - dask/array/backends.py: # _tensordot # - dask/array/core.py: # block # - dask/array/einsumfuncs.py: # parse_einsum_input # - dask/array/routines.py: # cov, _average Provides: bundled(numpy) %description -n python3-%{srcname} Dask is a flexible parallel computing library for analytics. %pyproject_extras_subpkg -n python3-%{srcname} array bag dataframe delayed %if %{without bootstrap} %pyproject_extras_subpkg distributed %endif %if %{without bootstrap} %package -n python-%{srcname}-doc Summary: dask documentation BuildArch: noarch BuildRequires: python3dist(dask_sphinx_theme) >= 1.3.5 BuildRequires: python3dist(numpydoc) BuildRequires: python3dist(sphinx) >= 4 %description -n python-%{srcname}-doc Documentation for dask. %endif %prep %autosetup -n %{srcname}-%{version} -p1 # we don't use pre-commit when running tests sed -i '/"pre-commit"/d' setup.py %generate_buildrequires %pyproject_buildrequires -r -x test,array,bag,dataframe,delayed %if %{without bootstrap} %pyproject_buildrequires -x distributed %endif %build %pyproject_wheel %if %{without bootstrap} # generate html docs PYTHONPATH=${PWD} sphinx-build-3 docs/source html # remove the sphinx-build leftovers rm -rf html/.{doctrees,buildinfo} %endif %install %pyproject_install %pyproject_save_files %{srcname} %check %ifarch arm # Is there a way to do this in one line? %global have_arm 1 %endif %if 0%{?__isa_bits} == 32 # read_sql_query with meta converts dtypes from 32 to 64. # https://github.com/dask/dask/issues/8620 # > tm.assert_frame_equal( # a, b, check_names=check_names, check_dtype=check_dtype, **kwargs # E AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="age") are different # E # E Attribute "dtype" are different # E [left]: int32 # E [right]: int64 # dask/dataframe/utils.py:555: AssertionError k="${k-}${k+ and }not test_query_with_meta" %endif %ifarch ppc64le # TODO: Should this be reported upstream? Is it a dask issue, or a numpy one? # Possibly related to # https://fedoraproject.org/wiki/Changes/PPC64LE_Float128_Transition? # > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg # E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount # E assert False # E + where False = allclose(array([0.12586355-0.09957204j, 0.20256483+0.04098342j,\n 0.05781123-0.03588671j, 0.01135963-0.03334219j,\n 0.03747771+0.07495994j, 0.2106574 -0.0363521j ,\n 0.16352091+0.03782915j, 0.1381678 -0.06815128j,\n 0.03781295-0.04011523j, 0.01493269+0.07780643j]), array([0.12559072-0.07164038j, 0.20256483+0.05438578j,\n 0.05781123-0.03588671j, 0.01135963-0.03334219j,\n 0.03747771+0.07495994j, 0.2106574 -0.0363521j ,\n 0.16352091+0.03782915j, 0.1381678 -0.06815128j,\n 0.03781295-0.04011523j, 0.01493269+0.07780643j]), equal_nan=True, **{}) # dask/array/utils.py:361: AssertionError k="${k-}${k+ and }not test_lstsq[100-10-10-True]" # > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg # E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount # E assert False # E + where False = allclose(array([ 0.20168675+0.08857556j, 0.144233 -0.19173091j,\n -0.03367557-0.08053959j, 0.04108325-0.24648308j,\n -0.01844576+0.00841932j, 0.29652375+0.05682199j,\n 0.05551828+0.20156798j, -0.08409592+0.02354949j,\n 0.09848743-0.00748637j, 0.22889193-0.07372773j]), array([ 0.20067551+0.2642591j , 0.144233 -0.18573336j,\n -0.03367557-0.08053959j, 0.04108325-0.24648308j,\n -0.01844576+0.00841932j, 0.29652375+0.05682199j,\n 0.05551828+0.20156798j, -0.08409592+0.02354949j,\n 0.09848743-0.00748637j, 0.22889193-0.07372773j]), equal_nan=True, **{}) # dask/array/utils.py:361: AssertionError k="${k-}${k+ and }not test_lstsq[20-10-5-True]" # test_vdot fails with NumPy 1.19.0 # https://github.com/dask/dask/issues/6406 # # vdot returns incorrect results on ppc64le # https://github.com/numpy/numpy/issues/17087 # > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg # E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount # E assert False # E + where False = allclose((0.38772781971416226-0.6851997484294434j), (0.38772781971416226-0.306563166009585j), equal_nan=True, **{}) # dask/array/utils.py:361: AssertionError k="${k-}${k+ and }not test_vdot[shape0-chunks0]" # > assert allclose(a, b, equal_nan=equal_nan, **kwargs), msg # E AssertionError: found values in 'a' and 'b' which differ by more than the allowed amount # E assert False # E + where False = allclose((0.38772781971416226-0.6851997484294434j), (0.38772781971416226-0.306563166009585j), equal_nan=True, **{}) # dask/array/utils.py:361: AssertionError k="${k-}${k+ and }not test_vdot[shape1-chunks1]" %endif # This test compares against files in .github/. It does not work on the PyPI # sdist, and is only relevant to upstream CI anyway. # # test_development_guidelines_matches_ci fails from sdist # https://github.com/dask/dask/issues/8499 k="${k-}${k+ and }not test_development_guidelines_matches_ci" pytest_args=( -m 'not network' -n %[0%{?have_arm}?"2":"auto"] %ifarch %{ix86} # Ignore 32-bit warning -W 'ignore:invalid value encountered in cast:RuntimeWarning' %endif -k "${k-}" --pyargs dask ) cd docs %{pytest} "${pytest_args[@]}" %files -n python3-%{srcname} -f %{pyproject_files} %doc README.rst %license LICENSE.txt dask/array/NUMPY_LICENSE.txt %{_bindir}/dask %if %{without bootstrap} %files -n python-%{srcname}-doc %doc html %license LICENSE.txt dask/array/NUMPY_LICENSE.txt %endif %changelog %autochangelog