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python-pyentropy
python-pyentropy.spec
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File python-pyentropy.spec of Package python-pyentropy
%define myname pyentropy Name: python-%{myname} BuildRequires: python-devel %if 0%{?suse_version} BuildRequires: python-numpy %py_requires %endif %if 0%{?centos_version}%{?fedora_version} BuildRequires: numpy %endif %if 0%{?suse_version} >= 1120 BuildArch: noarch %endif License: GPL v2 Group: Development/Libraries/Python %if 0%{?fedora_version}%{?centos_version} %{!?py_ver: %global py_ver %(%{__python} -c 'import sys; print sys.version[:3]')} %{!?python_sitelib: %global python_sitelib %(%{__python} -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())")} %endif %if 0%{?suse_version} && 0%{?suse_version} <= 1110 %define python_sitelib %{_libdir}/python%{py_ver}/site-packages %endif AutoReqProv: on Summary: Entropy and Information Theory Toolbox for Python Version: 0.3.3 Release: 4.1 Source0: http://pyentropy.googlecode.com/files/%{myname}-%{version}.tar.gz BuildRoot: %{_tmppath}/%{name}-%{version}-build Url: http://pmw.sourceforge.net/ %description A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods. If you use results of this software in any publication, please cite: Ince, R. A. A., Petersen, R. S., Swan, D. C., Panzeri, S., 2009 "Python for Information Theoretic Analysis of Neural Data", Frontiers in Neuroinformatics (Under Review) as well as the relevant reference for the bias correction method used. %prep %setup -q -n %{myname}-%{version} %build #nope %install python setup.py install --prefix=%{_prefix} --root=$RPM_BUILD_ROOT %clean rm -rf $RPM_BUILD_ROOT %files %defattr(-,root,root) %dir %{python_sitelib}/%{myname} %{python_sitelib}/%{myname}/* %if 0%{?suse_version}%{?fedora_version} %doc %{python_sitelib}/%{myname}-%{version}-py%{py_ver}.egg-info %endif %changelog
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