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#
# Conditional build:
%bcond_without tests # don't perform "make test"
%define pdir AI
%define pnam NeuralNet-BackProp
Summary: A simple back-prop neural net that uses Delta's and Hebbs' rule
Summary(pl.UTF-8): Prosta sieć neuronowa ze wsteczną propagacją używająca zasady Delty i Hebbsa
Name: perl-AI-NeuralNet-BackProp
Version: 0.89
Release: 5
# same as perl
License: GPL v1+ or Artistic
Group: Development/Languages/Perl
Source0: http://www.cpan.org/modules/by-module/%{pdir}/%{pdir}-%{pnam}-%{version}.zip
# Source0-md5: 1791f9f8f178ef67d2814fd8ff46fa11
URL: http://search.cpan.org/dist/AI-NeuralNet-BackProp/
BuildRequires: perl-devel >= 1:5.8.0
BuildRequires: rpm-perlprov >= 4.1-13
BuildRequires: unzip
BuildArch: noarch
BuildRoot: %{tmpdir}/%{name}-%{version}-root-%(id -u -n)
%description
AI::NeuralNet::BackProp is a simply back-propagation, feed-foward
neural network designed to learn using a generalization of the Delta
rule and a bit of Hopefield theory.
%description -l pl.UTF-8
AI::NeuralNet::BackProp to prosta sieć neuronowa ze wsteczną
propagacją i przednim sprzężeniem zaprojektowana do nauki przy użyciu
uogólnienia zasady Delty i części teorii Hopefielda.
%prep
%setup -q -c
%build
%{__perl} Makefile.PL \
INSTALLDIRS=vendor
%{__make}
%{?with_tests:%{__make} test}
%install
rm -rf $RPM_BUILD_ROOT
%{__make} install \
DESTDIR=$RPM_BUILD_ROOT
install -d $RPM_BUILD_ROOT%{_examplesdir}/%{name}-%{version}
cp -p examples/* $RPM_BUILD_ROOT%{_examplesdir}/%{name}-%{version}
%clean
rm -rf $RPM_BUILD_ROOT
%files
%defattr(644,root,root,755)
%doc Changes *.htm README
%{perl_vendorlib}/AI/NeuralNet/*.pm
%dir %{_examplesdir}/%{name}-%{version}
%attr(755,root,root) %{_examplesdir}/%{name}-%{version}/*.pl
%{_examplesdir}/%{name}-%{version}/*.dat
%{_mandir}/man3/*
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