Matej Cepl
b099e8b0fa
- Update to version 1.3.4
* Fixed regression in DataFrame.convert_dtypes() incorrectly
converts byte strings to strings (GH43183)
* Fixed regression in GroupBy.agg() where it was failing
silently with mixed data types along axis=1 and MultiIndex (GH43209)
* Fixed regression in merge() with integer and NaN keys
failing with outer merge (GH43550)
* Fixed regression in DataFrame.corr() raising ValueError with
method="spearman" on 32-bit platforms (GH43588)
* Fixed performance regression in MultiIndex.equals() (GH43549)
* Fixed performance regression in GroupBy.first() and GroupBy.last()
with StringDtype (GH41596)
* Fixed regression in Series.cat.reorder_categories() failing to
update the categories on the Series (GH43232)
* Fixed regression in Series.cat.categories() setter failing to
update the categories on the Series (GH43334)
* Fixed regression in read_csv() raising UnicodeDecodeError exception
when memory_map=True (GH43540)
* Fixed regression in DataFrame.explode() raising AssertionError
when column is any scalar which is not a string (GH43314)
* Fixed regression in Series.aggregate() attempting to pass args
and kwargs multiple times to the user supplied func in certain cases (GH43357)
* Fixed regression when iterating over a DataFrame.groupby.rolling
object causing the resulting DataFrames to have an incorrect index if the input groupings were not sorted (GH43386)
* Fixed regression in DataFrame.groupby.rolling.cov() and
DataFrame.groupby.rolling.corr() computing incorrect results if the
input groupings were not sorted (GH43386)
* Fixed bug in pandas.DataFrame.groupby.rolling() and
pandas.api.indexers.FixedForwardWindowIndexer leading to
segfaults and window endpoints being mixed across groups (GH43267)
* Fixed bug in GroupBy.mean() with datetimelike values
including NaT values returning incorrect results (GH43132)
* Fixed bug in Series.aggregate() not passing the first args
to the user supplied func in certain cases (GH43357)
* Fixed memory leaks in Series.rolling.quantile() and
Series.rolling.median() (GH43339)
OBS-URL: https://build.opensuse.org/request/show/926551
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=65
199 lines
7.3 KiB
RPMSpec
199 lines
7.3 KiB
RPMSpec
#
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# spec file
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#
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# Copyright (c) 2021 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python3-%{**}}
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%define skip_python2 1
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%define skip_python36 1
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test"
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%define psuffix -test
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%bcond_without test
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%else
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%define psuffix %{nil}
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%bcond_with test
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%endif
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Name: python-pandas%{psuffix}
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Version: 1.3.4
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Release: 0
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Summary: Python data structures for data analysis, time series, and statistics
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License: BSD-3-Clause
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Group: Development/Libraries/Python
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URL: https://pandas.pydata.org/
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Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
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BuildRequires: %{python_module Cython >= 0.29.21}
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BuildRequires: %{python_module Jinja2}
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BuildRequires: %{python_module devel >= 3.7.1}
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BuildRequires: %{python_module numpy >= 1.17.3}
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BuildRequires: %{python_module numpy-devel >= 1.16.5}
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BuildRequires: %{python_module python-dateutil >= 2.7.3}
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BuildRequires: %{python_module pytz >= 2017.3}
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BuildRequires: %{python_module setuptools >= 51.0.0}
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.17.3
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Requires: python-python-dateutil >= 2.7.3
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Requires: python-pytz >= 2017.3
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Recommends: python-Bottleneck >= 1.2.1
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Recommends: python-numexpr >= 2.6.8
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Suggests: python-Jinja2 >= 2.10
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Suggests: python-PyMySQL >= 0.8.1
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Suggests: python-SQLAlchemy >= 1.3.0
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Suggests: python-XlsxWriter >= 1.0.2
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Suggests: python-beautifulsoup4 >= 4.6.0
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Suggests: python-blosc >= 1.17.0
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Suggests: python-fastparquet >= 0.4.0
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Suggests: python-fsspec >= 0.7.4
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Suggests: python-gcsfs >= 0.6.0
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Suggests: python-html5lib >= 1.0.1
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Suggests: python-lxml >= 4.3.0
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Suggests: python-matplotlib >= 2.2.3
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Suggests: python-openpyxl >= 3.0.0
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Suggests: python-pandas-gbq >= 0.12.0
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Suggests: python-psycopg2 >= 2.7
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Suggests: python-pyarrow >= 0.17.0
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Suggests: python-pyreadstat
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Suggests: python-qt5
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Suggests: python-s3fs >= 0.4.0
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Suggests: python-scipy >= 1.12.0
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Suggests: python-tables >= 3.5.1
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Suggests: python-tabulate >= 0.8.7
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Suggests: python-xarray >= 0.12.0
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Suggests: python-xlrd >= 1.2.0
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Suggests: python-xlsb >= 1.0.6
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Suggests: python-zlib
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Suggests: xclip
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Suggests: xsel
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Obsoletes: python-pandas-doc < %{version}
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Provides: python-pandas-doc = %{version}
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%if %{with test}
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BuildRequires: %{python_module Bottleneck >= 1.2.1}
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BuildRequires: %{python_module SQLAlchemy >= 1.3.0}
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BuildRequires: %{python_module XlsxWriter >= 1.0.2}
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BuildRequires: %{python_module beautifulsoup4 >= 4.6.0}
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BuildRequires: %{python_module hypothesis}
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BuildRequires: %{python_module lxml >= 4.3.0}
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BuildRequires: %{python_module numexpr >= 2.7.0}
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BuildRequires: %{python_module openpyxl >= 3.0.0}
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BuildRequires: %{python_module pandas = %{version}}
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BuildRequires: %{python_module pytest >= 6.0}
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BuildRequires: %{python_module pytest-mock}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module xlrd >= 1.2.0}
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BuildRequires: xclip
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BuildRequires: xvfb-run
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%endif
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%python_subpackages
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%description
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Pandas is a Python package providing data structures designed for
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working with structured (tabular, multidimensional, potentially
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heterogeneous) and time series data. It is a high-level building
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block for doing data analysis in Python.
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%prep
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%if !%{with test}
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%setup -q -n pandas-%{version}
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%else
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%setup -c -n pandas-%{version} -T
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cd ..
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# unpack only the files we need for testing
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tar xf %{SOURCE0} \
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pandas-%{version}/pyproject.toml \
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pandas-%{version}/pandas/io/formats/templates/html.tpl
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sed -i 's/--strict-data-files//' pandas-%{version}/pyproject.toml
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%endif
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%build
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%if !%{with test}
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export CFLAGS="%{optflags} -fno-strict-aliasing"
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%python_build
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%endif
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%install
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%if !%{with test}
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%python_install
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%{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
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# don't install devel files
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rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/src
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rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/tslibs/src
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%fdupes %{buildroot}%{$python_sitearch}
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}
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%endif
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%check
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%if %{with test}
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export LANG=en_US.UTF-8
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export LC_ALL=en_US.UTF-8
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export PYTHONDONTWRITEBYTECODE=1
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# Workaround for pytest-xdist flaky collection order
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# https://github.com/pytest-dev/pytest/issues/920
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# https://github.com/pytest-dev/pytest/issues/1075
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export PYTHONHASHSEED=1
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# tries to compile stuff in system sitearch
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SKIP_TESTS+=" or test_oo_optimizable"
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# dtypes not as expected
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# https://github.com/pandas-dev/pandas/issues/39096
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# https://github.com/pandas-dev/pandas/issues/36579
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SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)"
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# no network -- https://github.com/pandas-dev/pandas/pull/42354
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SKIP_TESTS+=" or test_wrong_url"
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%ifarch %{ix86}
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# overflows on i586
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SKIP_TESTS+=" or test_encode_non_c_locale"
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# fails on i586 (was gcc10-skip-one-test.patch)
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SKIP_TESTS+=" or test_merge_on_ints_floats_warning"
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%endif
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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# https://github.com/pandas-dev/pandas/issues/31856
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SKIP_TESTS+=" or test_maybe_promote_int_with_int"
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# rounding error
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SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
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fi
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%ifnarch x86_64
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# run the slow tests only on x86_64
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%define test_fast --skip-slow --skip-db
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%endif
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%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
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# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file
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# -c pyproject.toml: get the marker declarations
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# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
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# --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark.
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# clipboard marker: not set up properly in build service
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# need to specify test path directly instead of --pyargs pandas in order
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# to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596
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xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
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-c pyproject.toml \
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-o cache_dir=$PWD/.pytest_cache --cache-clear \
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--skip-network %{?test_fast} \
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-m "not clipboard" \
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-k "not (${SKIP_TESTS:4})" \
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%{$python_sitearch}/pandas
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}
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%endif
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%if !%{with test}
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%files %{python_files}
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%license LICENSE
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%doc README.md RELEASE.md
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%{python_sitearch}/pandas/
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%{python_sitearch}/pandas-%{version}*-info
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%endif
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%changelog
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