class Liblinear < Formula
  desc "Library for large linear classification"
  homepage "https://www.csie.ntu.edu.tw/~cjlin/liblinear/"
  url "https://www.csie.ntu.edu.tw/~cjlin/liblinear/oldfiles/liblinear-2.01.tar.gz"
  sha256 "ebc71999224f5779574b11e248f1e2ef647b5d839c0380c1c5a4ac8789aa95a9"

  head "https://github.com/cjlin1/liblinear.git"

  bottle do
    cellar :any
    sha256 "9d1752ea126fc0b195c1502813645a462160442855bafe0e2545e007c39f84e8" => :yosemite
    sha256 "15c7d64502088e250f3b61089f276691c4b5a0bf3382663a3c24e2581a8e4bf8" => :mavericks
    sha256 "f6c2546bb3b2716c08c5acc80fcbb7b333460209db5c8debd9983c906d30e067" => :mountain_lion
  end

  # Fix sonames
  patch :p0 do
    url "https://trac.macports.org/export/94156/trunk/dports/math/liblinear/files/patch-Makefile.diff"
    sha256 "ffb5206f0a6c15832574ec77863cda12eb2012e0f052bacebfe1ad722d31ea22"
  end

  def install
    system "make", "all"
    bin.install "predict", "train"
    lib.install "liblinear.dylib"
    lib.install_symlink "liblinear.dylib" => "liblinear.1.dylib"
    include.install "linear.h"
  end

  test do
    (testpath/"train_classification.txt").write <<-EOS.undent
    +1 201:1.2 3148:1.8 3983:1 4882:1
    -1 874:0.3 3652:1.1 3963:1 6179:1
    +1 1168:1.2 3318:1.2 3938:1.8 4481:1
    +1 350:1 3082:1.5 3965:1 6122:0.2
    -1 99:1 3057:1 3957:1 5838:0.3
    EOS

    system "#{bin}/train", "train_classification.txt"
  end
end