File python-pandas.spec of Package python-pandas-doc
#
# spec file for package python-pandas
#
# Copyright (c) 2021 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/
#
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
%define skip_python36 1
%global flavor @BUILD_FLAVOR@%{nil}
%if "%{flavor}" == "test"
%define psuffix -test
%bcond_without test
%else
%define psuffix %{nil}
%bcond_with test
%endif
Name: python-pandas%{psuffix}
Version: 1.3.0
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 >= 1.16.5}
BuildRequires: %{python_module numpy-devel >= 1.16.5}
BuildRequires: %{python_module python-dateutil >= 2.7.3}
BuildRequires: %{python_module pytz >= 2017.3}
BuildRequires: %{python_module setuptools >= 24.2.0}
BuildRequires: fdupes
BuildRequires: gcc-c++
BuildRequires: python-rpm-macros
Requires: python-numpy >= 1.16.5
Requires: python-python-dateutil >= 2.7.3
Requires: python-pytz >= 2017.3
Recommends: python-Bottleneck >= 1.2.1
Recommends: python-numexpr >= 2.6.8
Suggests: python-Jinja2 >= 2.10
Suggests: python-PyMySQL >= 0.8.1
Suggests: python-QtPy
Suggests: python-SQLAlchemy >= 1.3.0
Suggests: python-XlsxWriter >= 1.0.2
Suggests: python-beautifulsoup4 >= 4.6.0
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 >= 4.3.0
Suggests: python-matplotlib >= 2.2.3
Suggests: python-numba >= 0.46.0
Suggests: python-openpyxl >= 2.6.0
Suggests: python-pandas-gbq >= 0.12.0
Suggests: python-psycopg2 >= 2.7
Suggests: python-pyarrow >= 0.15.0
Suggests: python-pyreadstat
Suggests: python-qt5
Suggests: python-s3fs >= 0.4.0
Suggests: python-scipy >= 1.12.0
Suggests: python-tables >= 3.5.1
Suggests: python-tabulate >= 0.8.3
Suggests: python-xarray >= 0.8.2
Suggests: python-xlrd >= 1.2.0
Suggests: python-xlsb >= 1.0.6
Suggests: python-zlib
Suggests: xclip
Suggests: xsel
Obsoletes: python-pandas-doc < %{version}
Provides: python-pandas-doc = %{version}
%if %{with test}
BuildRequires: %{python_module Bottleneck >= 1.2.1}
BuildRequires: %{python_module SQLAlchemy >= 1.1.4}
BuildRequires: %{python_module XlsxWriter >= 0.9.8}
BuildRequires: %{python_module beautifulsoup4 >= 4.6.0}
BuildRequires: %{python_module hypothesis}
BuildRequires: %{python_module lxml >= 4.3.0}
BuildRequires: %{python_module numexpr >= 2.6.8}
BuildRequires: %{python_module openpyxl >= 2.6.0}
BuildRequires: %{python_module pandas = %{version}}
BuildRequires: %{python_module pytest >= 5.0.1}
BuildRequires: %{python_module pytest-mock}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module xlrd >= 1.2.0}
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}
%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
find %{buildroot}%{$python_sitearch}/pandas/_libs -name \*.c -o -name \*.h | xargs rm
%fdupes %{buildroot}%{$python_sitearch}
}
%endif
%check
%if %{with test}
export http_proxy=http://1.2.3.4 https_proxy=http://1.2.3.4;
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)"
%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
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
%ifnarch x86_64
# run the slow tests only on x86_64
%define test_fast --skip-slow --skip-db
%endif
%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file
# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
# --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark.
# clipboard marker: not set up properly in build service
# need to specify test path directly instead of --pyargs pandas in order
# to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596
xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
-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 RELEASE.md
%{python_sitearch}/pandas/
%{python_sitearch}/pandas-%{version}-py*.egg-info
%endif
%changelog
