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!22 Revert

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From: @huangtianhua 
Reviewed-by: @licihua 
Signed-off-by: @licihua
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openeuler-ci-bot 2022-07-19 11:07:24 +00:00 committed by Gitee
commit 611db18fd3
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2 changed files with 15 additions and 17 deletions
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scipy-1.8.0.tar.gz → scipy-1.6.2.tar.gz
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scipy.spec
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@ -1,6 +1,7 @@
%global _empty_manifest_terminate_build 0
%global py_setup_args config_fc --fcompiler=gnu95 --noarch
%global debug_package %{nil}
Name: scipy
Version: 1.8.0
Version: 1.6.2
Release: 1
Summary: A Python-based ecosystem of open-source software for mathematics, science, and engineering
License: Qhull and Apache-2.0
@ -9,18 +10,18 @@ Source0: https://github.com/scipy/scipy/releases/download/v%{version}/scipy-%{ve
BuildRequires: python3-devel python3-numpy >= 1.8.2 python3-numpy-f2py
BuildRequires: gcc-c++ openblas-devel gcc-gfortran chrpath
BuildRequires: pybind11-devel python3-pybind11 python3-Cython
BuildRequires: pybind11-devel python3-pybind11 python3-Cython
%description
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering.
It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms,
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering.
It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms,
signal and image processing, ODE solvers, and more.
SciPy depends on NumPy, which provides convenient and fast N-dimensional array manipulation.
SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines
such as routines for numerical integration and optimization.
Together, they run on all popular operating systems, are quick to install, and are free of charge.
NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
SciPy depends on NumPy, which provides convenient and fast N-dimensional array manipulation.
SciPy is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines
such as routines for numerical integration and optimization.
Together, they run on all popular operating systems, are quick to install, and are free of charge.
NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
%package -n python3-scipy
@ -38,7 +39,7 @@ cat > site.cfg << EOF
library_dirs = %{_libdir}
include_dirs = /usr/include/suitesparse
amd_libs = amd
[umfpack]
library_dirs = %{_libdir}
include_dirs = /usr/include/suitesparse
@ -55,7 +56,6 @@ cp -a . %{py3dir}
%build
export CFLAGS="$RPM_OPT_FLAGS -lm"
export SCIPY_USE_PYTHRAN=0
export LDFLAGS="$RPM_LD_FLAGS -Wall -shared"
pushd %{py3dir}
env FFLAGS="$RPM_OPT_FLAGS -fPIC -w -fallow-argument-mismatch -O2"\
@ -93,15 +93,13 @@ echo "%{_libdir}/%{name}" >> $RPM_BUILD_ROOT/etc/ld.so.conf.d/%{name}-%{_arch}.c
%files -n python3-scipy
%license LICENSE.txt
%{python3_sitelib}/*.egg-info
%{python3_sitearch}/scipy
%{python3_sitearch}/*.egg-info
%config(noreplace) /etc/ld.so.conf.d/*
%changelog
* Tue Jul 12 2022 renliang16 <renliang@uniontech.com> - 1.8.0-1
- Upgrade package scipy to version 1.8.0
* Mon Dec 13 2021 zhouwenpei <zhouwenpei1@huawei.com> - 1.6.2-1
- upgrade to 1.6.2
- upgrade to 1.6.2
* Thu Sep 16 2021 chenchen <chen_aka_jan@163.com> - 1.2.2-8
- del rpath for some binaries and bin