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topographica
topographica.spec
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File topographica.spec of Package topographica
%define name topographica %define version 0.9.7 %define unmangled_version 0.9.7 %define release 0.9.7 Summary: A general-purpose neural simulator focusing on topographic maps. Name: %{name} Version: %{version} Release: %{release} Source0: %{name}-%{unmangled_version}.tar.gz License: BSD Group: Productivity/Scientific/Other BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-buildroot Prefix: %{_prefix} BuildArch: noarch Vendor: Topographica Developers <developers[at]topographica[dot]org> Requires: python python-devel tkinter numpy scipy python-imaging-tk python-matplotlib python-matplotlib-tk ipython Url: http://topographica.org/ %description `Topographica`_ is a software package for computational modeling of neural maps. The goal is to help researchers understand brain function at the level of the topographic maps that make up sensory and motor systems. **Please see http://topographica.org/ for more information.** Installation ============ Here we give a brief summary; please see http://topographica.org/Downloads for full details. If you have `easy_install`_ or `pip`_ (or similar), you can use one of those to install Topographica and its dependencies automatically (e.g. ``easy_install topographica`` or ``pip install topographica``). Alternatively, you can download and unpack the archive below, and then install Topographica with a command like ``python setup.py install`` (e.g. ``sudo python setup.py install`` for a site-wide installation, or ``python setup.py install --user`` to install into ``~/.local``). You will need to install at least `NumPy`_ and `PIL`_ before running Topographica. We also recommend that you install `MatPlotLib`_ so you can access all Topographica's plots, as well as `Gmpy`_ and Weave (available as part of `SciPy`_) for optimum performance. .. _Topographica: http://topographica.org/Home/index.html .. _NumPy: http://pypi.python.org/pypi/numpy .. _Gmpy: http://pypi.python.org/pypi/gmpy .. _SciPy: http://pypi.python.org/pypi/scipy .. _MatPlotLib: http://pypi.python.org/pypi/matplotlib .. _PIL: http://pypi.python.org/pypi/PIL .. _easy_install: http://peak.telecommunity.com/DevCenter/EasyInstall .. _pip: http://pip.openplans.org/ %prep %setup -n %{name}-%{unmangled_version} %build python setup.py build %install python setup.py install --root=$RPM_BUILD_ROOT --record=INSTALLED_FILES %clean rm -rf $RPM_BUILD_ROOT %files -f INSTALLED_FILES %defattr(-,root,root)
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