File pypar.spec of Package python-pypar

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File pypar.spec of Package python-pypar (Revision cf56c972e86d2288ec5a960deb9e5fcc)

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%define name python-pypar
%define version 1.9.2
%define release 1

Summary:	Pypar - Parallel Python
Name: 		%{name}
Version: 	%{version}
Release: 	%{release}
Source0: 	pypar-%{version}.tar.gz
License: 	GPL
Group: 		Development/Libraries/Python
BuildRoot: 	%{_tmppath}/%{name}-%{version}-%{release}-buildroot
Prefix: 	%{_prefix}
Vendor: 	Ole Nielsen <Ole.Nielsen@anu.edu.au>
Url: 		http://datamining.anu.edu.au/pypar
%py_requires
Requires: 	python openmpi
BuildRequires: 	python-devel openmpi
AutoReqProv: 	on
Packager:	Felix Richter <felix.richter2@uni-rostock.de>

%description
Pypar - Parallel Python, no-frills MPI interface

The python module pypar.py and the C-extension mpi.c 
implements scalable parallelism on distributed and shared 
memory architectures using the essential subset of 
the Message Passing Interface (MPI) standard.

FEATURES

- Python interpreter is not modified: 
  Parallel python programs need only import the pypar module.

- Flexibility: Pypar allows communication of general Python objects 
  of any type.  
  
- Intuitive API: 
  The user need only specify what to send and to which processor.
  Pypar takes care of details about 
  data types and MPI specifics such as tags, communicators and buffers.
  Receiving is analogous.
 
- Efficiency:
  Full bandwidth of C-MPI programs is achieved for consecutive Numerical 
  arrays. Latency is less than twice that of pure C-MPI programs. 
  Test programs to verify this are included (pytiming, ctiming.c)
  
- Lightweight:
  Pypar consists of just two files: mpiext.c and pypar.py

%prep
%setup -n Pypar-%{version}

%build
export CFLAGS="$RPM_OPT_FLAGS"
python setup.py build

%install
python setup.py install --prefix=%{_prefix} --root=$RPM_BUILD_ROOT --record=INSTALLED_FILES

%clean
rm -rf $RPM_BUILD_ROOT

%files -f INSTALLED_FILES
%defattr(-,root,root)
%{py_sitedir}/*

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