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python-scipy.spec
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python-scipy.spec
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%global debug_package %{nil}
Name: python-scipy
Epoch: 100
Version: 1.7.3
Release: 1%{?dist}
Summary: Scientific Library for Python
License: BSD-3-Clause
URL: https://github.com/scipy/scipy/tags
Source0: %{name}_%{version}.orig.tar.gz
BuildRequires: fdupes
BuildRequires: gcc-gfortran
BuildRequires: lapack-devel
BuildRequires: openblas-devel
BuildRequires: pybind11-devel >= 2.4.3
BuildRequires: python-rpm-macros
BuildRequires: python3-cython
BuildRequires: python3-decorator
BuildRequires: python3-devel
BuildRequires: python3-numpy >= 1.14.5
BuildRequires: python3-numpy-f2py >= 1.14.5
BuildRequires: python3-pybind11 >= 2.4.3
BuildRequires: python3-setuptools
BuildRequires: suitesparse-devel
%description
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering. The SciPy library depends on NumPy, which
provides convenient and fast N-dimensional array manipulation. The SciPy
library 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!
%prep
%autosetup -T -c -n %{name}_%{version}-%{release}
tar -zx -f %{S:0} --strip-components=1 -C .
%build
set -ex && \
export SCIPY_USE_PYTHRAN=0 && \
export CFLAGS="%{optflags} -lm -fno-strict-aliasing" && \
export FFLAGS="%{optflags} -fPIC -fallow-argument-mismatch" && \
%{__python3} setup.py config_fc --fcompiler=gnu95 --noarch build
%install
set -ex && \
export SCIPY_USE_PYTHRAN=0 && \
%{__python3} setup.py install --prefix=%{_prefix} --root=%{buildroot}
find %{buildroot}%{python3_sitearch} -type f -name '*.pyc' -exec rm -rf {} \;
fdupes -qnrps %{buildroot}%{python3_sitearch}
%check
%if 0%{?suse_version} > 1500
%package -n python%{python3_version_nodots}-scipy
Summary: Scientific Library for Python
Requires: python3
Requires: python3-decorator
Requires: python3-numpy >= 1.14.5
Provides: python3-scipy = %{epoch}:%{version}-%{release}
Provides: python3dist(scipy) = %{epoch}:%{version}-%{release}
Provides: python%{python3_version}-scipy = %{epoch}:%{version}-%{release}
Provides: python%{python3_version}dist(scipy) = %{epoch}:%{version}-%{release}
Provides: python%{python3_version_nodots}-scipy = %{epoch}:%{version}-%{release}
Provides: python%{python3_version_nodots}dist(scipy) = %{epoch}:%{version}-%{release}
%description -n python%{python3_version_nodots}-scipy
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering. The SciPy library depends on NumPy, which
provides convenient and fast N-dimensional array manipulation. The SciPy
library 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!
%files -n python%{python3_version_nodots}-scipy
%license LICENSE.txt
%{python3_sitearch}/*
%endif
%if !(0%{?suse_version} > 1500)
%package -n python3-scipy
Summary: Scientific Library for Python
Requires: python3
Requires: python3-decorator
Requires: python3-numpy >= 1.14.5
Provides: python3-scipy = %{epoch}:%{version}-%{release}
Provides: python3dist(scipy) = %{epoch}:%{version}-%{release}
Provides: python%{python3_version}-scipy = %{epoch}:%{version}-%{release}
Provides: python%{python3_version}dist(scipy) = %{epoch}:%{version}-%{release}
Provides: python%{python3_version_nodots}-scipy = %{epoch}:%{version}-%{release}
Provides: python%{python3_version_nodots}dist(scipy) = %{epoch}:%{version}-%{release}
%description -n python3-scipy
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering. The SciPy library depends on NumPy, which
provides convenient and fast N-dimensional array manipulation. The SciPy
library 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!
%files -n python3-scipy
%license LICENSE.txt
%{python3_sitearch}/*
%endif
%changelog