homebrew-core/Formula/shark.rb

require 'formula'

class Shark < Formula
  homepage 'http://shark-project.sourceforge.net/'
  url 'http://downloads.sourceforge.net/project/shark-project/Shark%20Core/Shark%202.3.4/shark-2.3.4.zip'
  sha1 '0b1b054872fe057747ff7f50e360499bb78bebdf'

  fails_with :clang do
    build 421
    cause "C++ is hard." # see error output below
  end

  #  include/FileUtil/FileUtil.h:416:3: error: call to function 'scanFrom_strict' that is neither visible in the template definition nor found by argument-dependent lookup
  #                  scanFrom_strict(is, token, val, true);
  #                  ^

  depends_on 'cmake' => :build

  def install
    system "cmake", ".", *std_cmake_args
    system "make install"
  end
end
Shark 2.3.2 SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. SHARK serves as a toolbox to support real world applications as well as research in different domains of computational intelligence and machine learning. Signed-off-by: Adam Vandenberg <flangy@gmail.com> 2011-02-09 22:57:19 +00:00			`require 'formula'`

Use ruby style for inheritance. 2011-03-10 05:11:03 +00:00			`class Shark < Formula`
Shark 2.3.2 SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. SHARK serves as a toolbox to support real world applications as well as research in different domains of computational intelligence and machine learning. Signed-off-by: Adam Vandenberg <flangy@gmail.com> 2011-02-09 22:57:19 +00:00			`homepage 'http://shark-project.sourceforge.net/'`
Put source path last in cmake args 2012-02-22 05:12:27 +00:00			`url 'http://downloads.sourceforge.net/project/shark-project/Shark%20Core/Shark%202.3.4/shark-2.3.4.zip'`
Batch convert MD5 formula to SHA1. Closes Homebrew/homebrew#14653. 2012-09-03 18:33:56 +00:00			`sha1 '0b1b054872fe057747ff7f50e360499bb78bebdf'`
Shark 2.3.2 SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. SHARK serves as a toolbox to support real world applications as well as research in different domains of computational intelligence and machine learning. Signed-off-by: Adam Vandenberg <flangy@gmail.com> 2011-02-09 22:57:19 +00:00
Shark fails with clang 2012-08-20 12:52:26 +00:00			`fails_with :clang do`
			`build 421`
			`cause "C++ is hard." # see error output below`
			`end`

			`# include/FileUtil/FileUtil.h:416:3: error: call to function 'scanFrom_strict' that is neither visible in the template definition nor found by argument-dependent lookup`
			`# scanFrom_strict(is, token, val, true);`
			`# ^`

Fix some build-time deps 2011-11-30 02:54:32 +00:00			`depends_on 'cmake' => :build`
Shark 2.3.2 SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. SHARK serves as a toolbox to support real world applications as well as research in different domains of computational intelligence and machine learning. Signed-off-by: Adam Vandenberg <flangy@gmail.com> 2011-02-09 22:57:19 +00:00
			`def install`
Use new std_cmake_args method Signed-off-by: Jack Nagel <jacknagel@gmail.com> 2012-05-22 21:37:04 +00:00			`system "cmake", ".", *std_cmake_args`
Shark 2.3.2 SHARK is a modular C++ library for the design and optimization of adaptive systems. It provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms, kernel-based learning algorithms and neural networks, and various other machine learning techniques. SHARK serves as a toolbox to support real world applications as well as research in different domains of computational intelligence and machine learning. Signed-off-by: Adam Vandenberg <flangy@gmail.com> 2011-02-09 22:57:19 +00:00			`system "make install"`
			`end`
			`end`