[SciPy-dev] numpy-0.9.2, scipy-0.4.4 RPMs

[Ravikiran Rajagopal]

On Wednesday 18 January 2006 10:50, Neal Becker wrote:
> I tried your suggestion, but got this cryptic result:

[snip]

I do not have a 64-bit machine, but on my 32-bit machine, the attached spec 
files produce the right RPMs. The only suggestion I have for you is to check 
whether you have the following RPMs installed on your machine:
   gcc-gfortran
   libgfortran
It looks as if numpy.distutils does not see gfortran on your machine.

Regards,
Ravi


-------------- next part --------------
%define name scipy
%define version 0.4.4
%define release 1
%define python_sitearch %(%{__python} -c 'from distutils import sysconfig; print sysconfig.get_python_lib(1)')

Summary: Scipy: array processing for numbers, strings, records, and objects.
Name: %{name}
Version: %{version}
Release: %{release}
Source0: %{name}-%{version}.tar.gz
License: BSD
Group: Development/Libraries
BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-buildroot
Prefix: %{_prefix}
Vendor: SciPy Developers <scipy-dev at scipy.org>
Url: http://numeric.scipy.org

%description
Scipy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  Scipy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.


%prep
%setup

%build
env CFLAGS="$RPM_OPT_FLAGS" BLAS=%{_libdir} LAPACK=%{_libdir} python setup.py config_fc --fcompiler=gnu95 build

%install
env CFLAGS="$RPM_OPT_FLAGS" BLAS=%{_libdir} LAPACK=%{_libdir} python setup.py config_fc --fcompiler=gnu95 install --root=$RPM_BUILD_ROOT #--record=INSTALLED_FILES


%clean
rm -rf $RPM_BUILD_ROOT

%files 
%{python_sitearch}/scipy
%defattr(-,root,root)
-------------- next part --------------
%define name numpy
%define version 0.9.2
%define release 1
%define python_sitearch %(%{__python} -c 'from distutils import sysconfig; print sysconfig.get_python_lib(1)')

Summary: Numpy: array processing for numbers, strings, records, and objects.
Name: %{name}
Version: %{version}
Release: %{release}
Source0: %{name}-%{version}.tar.gz
License: BSD
Group: Development/Libraries
BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-buildroot
Prefix: %{_prefix}
Vendor: SciPy Developers <scipy-dev at scipy.org>
Url: http://numeric.scipy.org

%description
Numpy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  Numpy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.


%prep
%setup

%build
env CFLAGS="$RPM_OPT_FLAGS" BLAS=%{_libdir} LAPACK=%{_libdir} python setup.py config_fc --fcompiler=gnu95 build

%install
python setup.py config_fc --fcompiler=gnu95 install --root=$RPM_BUILD_ROOT #--record=INSTALLED_FILES

%clean
rm -rf $RPM_BUILD_ROOT

%files
%defattr(-,root,root)
%{python_sitearch}/numpy
%{_bindir}/f2py