tinysvm stable port information

Package: tinysvm
Version: 0.09
Revision: 1002
Description: Support Vector Machines
License: LGPL
Maintainer: Todai Fink Team
Depends: %N-shlibs (>= %v-%r)
BuildDepends: autoconf2.6, automake1.11, libtool14

Source: http://www.chasen.org/~taku/software/TinySVM/src/TinySVM-%v.tar.gz
Source-MD5: 22d80bdd94c3c8373062761de0d27fde
ConfigureParams: '--mandir=${prefix}/share/man'
GCC: 4.0
PatchScript: <<
perl -pi -e 's/(AC_DEFUN\()([^[]+)(,)/\1\[\2]\3/' configure.in
perl -pi -e 's/getopt\S+//g' src/Makefile.am
rm src/getopt.*
<<
CompileScript: <<
autoreconf -f -i
./configure %c
make
make check
<<
SplitOff: <<
Package: %N-dev
BuildDependsOnly: True
Depends: %N-shlibs (= %v-%r)
Files: include lib/libtinysvm.dylib lib/libtinysvm.a lib/libtinysvm.la
DocFiles: AUTHORS COPYING ChangeLog INSTALL NEWS README THANKS
<<
SplitOff2: <<
Package: %N-shlibs
Files: lib/libtinysvm.1.dylib lib/libtinysvm.1.2.0.dylib
Shlibs: %p/lib/libtinysvm.1.dylib 4.0.0 %n (>= 0.09-2)
DocFiles: AUTHORS COPYING ChangeLog INSTALL NEWS README THANKS
<<
DocFiles: AUTHORS COPYING ChangeLog INSTALL NEWS README THANKS doc/*.{html,css}
DescDetail: <<
TinySVM is an implementation of Support Vector Machines (SVMs) [Vapnik 95],
[Vapnik 98] for the problem of pattern recognition. Support Vector Machines is
a new generation learning algorithms based on recent advances in statistical
learning theory, and applied to large number of real-world applications, such
as text categorization, hand-written character recognition.
<<
DescPort: <<
OS X>=10.3 getopt is good enough, so don't build local one. Included libtool
is too old to know how to build libraries on darwin, so upgrade to modern one
and do necessary other cleanups for it.
<<
Homepage: http://www.chasen.org/~taku/software/TinySVM/