# # spec file # # Copyright (c) 2022 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %global flavor @BUILD_FLAVOR@%{nil} %if "%{flavor}" == "test-py38" %define psuffix -test-py38 %define skip_python39 1 %define skip_python310 1 %bcond_without test %endif %if "%{flavor}" == "test-py39" %define psuffix -test-py39 %define skip_python38 1 %define skip_python310 1 %bcond_without test %endif %if "%{flavor}" == "test-py310" %define psuffix -test-py310 %define skip_python38 1 %define skip_python39 1 %bcond_without test %endif %if "%{flavor}" == "" %define psuffix %{nil} %bcond_with test %endif %{?!python_module:%define python_module() python3-%{**}} %define skip_python2 1 Name: python-pandas%{psuffix} Version: 1.4.0 Release: 0 Summary: Python data structures for data analysis, time series, and statistics License: BSD-3-Clause Group: Development/Libraries/Python URL: https://pandas.pydata.org/ Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz BuildRequires: %{python_module Cython >= 0.29.21} BuildRequires: %{python_module Jinja2} BuildRequires: %{python_module devel >= 3.7.1} BuildRequires: %{python_module numpy-devel >= 1.18.5} BuildRequires: %{python_module python-dateutil >= 2.8.1} BuildRequires: %{python_module pytz >= 2020.1} BuildRequires: %{python_module setuptools >= 51.0.0} BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: python-rpm-macros Requires: python-numpy >= 1.18.5 Requires: python-python-dateutil >= 2.8.1 Requires: python-pytz >= 2020.1 Recommends: python-Bottleneck >= 1.3.1 Recommends: python-numexpr >= 2.7.1 Suggests: python-Jinja2 >= 2.10 Suggests: python-PyMySQL >= 0.10.1 Suggests: python-SQLAlchemy >= 1.4.0 Suggests: python-XlsxWriter >= 1.2.2 Suggests: python-beautifulsoup4 >= 4.8.2 Suggests: python-blosc >= 1.17.0 Suggests: python-fastparquet >= 0.4.0 Suggests: python-fsspec >= 0.7.4 Suggests: python-gcsfs >= 0.6.0 Suggests: python-html5lib >= 1.0.1 Suggests: python-lxml >= 4.5.0 Suggests: python-matplotlib >= 3.3.2 Suggests: python-numba >= 0.50.1 Suggests: python-openpyxl >= 3.0.3 Suggests: python-pandas-gbq >= 0.14.0 Suggests: python-psycopg2 >= 2.7 Suggests: python-pyarrow >= 1.0.1 Suggests: python-pyreadstat Suggests: python-qt5 Suggests: python-s3fs >= 0.4.0 Suggests: python-scipy >= 1.4.1 Suggests: python-tables >= 3.6.1 Suggests: python-tabulate >= 0.8.7 Suggests: python-xarray >= 0.15.1 Suggests: python-xlrd >= 1.2.0 Suggests: python-xlwt >= 1.3.0 Suggests: python-zlib Suggests: xclip Suggests: xsel Obsoletes: python-pandas-doc < %{version} Provides: python-pandas-doc = %{version} %if %{with test} BuildRequires: %{python_module Bottleneck >= 1.3.1} BuildRequires: %{python_module SQLAlchemy >= 1.4.0} BuildRequires: %{python_module XlsxWriter >= 1.2.2} BuildRequires: %{python_module beautifulsoup4 >= 4.8.2} BuildRequires: %{python_module hypothesis} BuildRequires: %{python_module lxml >= 4.5.0} BuildRequires: %{python_module matplotlib >= 3.3.2} BuildRequires: %{python_module numexpr >= 2.7.1} BuildRequires: %{python_module openpyxl >= 3.0.3} BuildRequires: %{python_module pandas = %{version}} BuildRequires: %{python_module pytest >= 6.0} BuildRequires: %{python_module pytest-mock} BuildRequires: %{python_module pytest-xdist} BuildRequires: %{python_module scipy >= 1.4.1} BuildRequires: %{python_module xlrd >= 2.0.1} BuildRequires: memory-constraints BuildRequires: xclip BuildRequires: xvfb-run %endif %python_subpackages %description Pandas is a Python package providing data structures designed for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. It is a high-level building block for doing data analysis in Python. %prep %if !%{with test} %setup -q -n pandas-%{version} %else %setup -c -n pandas-%{version} -T cd .. # unpack only the files we need for testing tar xf %{SOURCE0} \ pandas-%{version}/pyproject.toml \ pandas-%{version}/pandas/io/formats/templates/html.tpl sed -i 's/--strict-data-files//' pandas-%{version}/pyproject.toml %endif %build %if !%{with test} export CFLAGS="%{optflags} -fno-strict-aliasing" %python_build %endif %install %if !%{with test} %python_install %{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py # don't install devel files rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/src rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/tslibs/src %fdupes %{buildroot}%{$python_sitearch} } %endif %check %if %{with test} export LANG=en_US.UTF-8 export LC_ALL=en_US.UTF-8 export PYTHONDONTWRITEBYTECODE=1 # Workaround for pytest-xdist flaky collection order # https://github.com/pytest-dev/pytest/issues/920 # https://github.com/pytest-dev/pytest/issues/1075 export PYTHONHASHSEED=1 # tries to compile stuff in system sitearch SKIP_TESTS+=" or test_oo_optimizable" # dtypes not as expected # https://github.com/pandas-dev/pandas/issues/39096 # https://github.com/pandas-dev/pandas/issues/36579 SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)" # pytest-xdist worker crash SKIP_TESTS+=" or test_pivot_number_of_levels_larger_than_int32" if [ $(getconf LONG_BIT) -eq 32 ]; then # https://github.com/pandas-dev/pandas/issues/31856 SKIP_TESTS+=" or test_maybe_promote_int_with_int" # rounding error SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)" fi %ifarch %{ix86} # overflows on i586 SKIP_TESTS+=" or test_encode_non_c_locale" # fails on i586 (was gcc10-skip-one-test.patch) SKIP_TESTS+=" or test_merge_on_ints_floats_warning" %endif %ifarch ppc64 s390x # big endian type issues SKIP_TESTS+=" or test_astype" SKIP_TESTS+=" or test_to_numpy_string" SKIP_TESTS+=" or (test_construction and test_to_numpy)" SKIP_TESTS+=" or test_to_records_index_name" SKIP_TESTS+=" or test_to_records_dtype" SKIP_TESTS+=" or test_to_records_dict_like" SKIP_TESTS+=" or (test_c_parser_only and test_unsupported_dtype)" SKIP_TESTS+=" or test_td_mul_td64_ndarray_invalid" %endif %ifnarch x86_64 # type and numeric precision issues, partially reported for arm and marked xfail upstream but not for e.g. ppc SKIP_TESTS+=" or (test_astype and test_subtype_integer_errors)" SKIP_TESTS+=" or (test_to_numeric and test_downcast_nullable_numeric and data12-UInt64-signed-UInt64)" SKIP_TESTS+=" or (test_rolling and test_rolling_var_numerical_issues)" SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_sum_mean)" SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_cumsum)" SKIP_TESTS+=" or (test_c_parser_only and test_float_precision_options)" # run the slow tests only on x86_64 %define test_fast --skip-slow --skip-db %endif # The test collection consumes a lot of memory per worker. This sets %%jobs. %limit_build -m 2048 %{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())' # -c pyproject.toml: get the marker declarations # cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache # --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark. # clipboard marker: not set up properly in build service # need to specify test path directly instead of --pyargs pandas in order # to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596 xvfb-run pytest-%{$python_bin_suffix} -v -n %jobs \ -c pyproject.toml \ -o cache_dir=$PWD/.pytest_cache --cache-clear \ --skip-network %{?test_fast} \ -m "not clipboard" \ -k "not (${SKIP_TESTS:4})" \ %{$python_sitearch}/pandas } %endif %if !%{with test} %files %{python_files} %license LICENSE %doc README.md RELEASE.md %{python_sitearch}/pandas/ %{python_sitearch}/pandas-%{version}*-info %endif %changelog