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