sundowndev
/
homebrew-core
mirror of https://github.com/sundowndev/homebrew-core.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
homebrew-core/Formula/shark.rb

24 lines
722 B
Ruby
Raw Normal View History

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