class Pagmo < Formula desc "Scientific library for massively parallel optimization" homepage "https://esa.github.io/pagmo2/" url "https://github.com/esa/pagmo2/archive/v2.10.tar.gz" sha256 "2fa95e2b464ddeadb9fc09bd314081293f02a1b6abc11c0b05064729a077227c" bottle do cellar :any_skip_relocation sha256 "11a158a55b100b182c49807d68d5400ca55d98011535b4d923f1ee232f58a9b0" => :mojave sha256 "2c8e09c8e42c16f36f4c5b4fa82b465402fd6b50e5c55e9b4befdae04636a5fc" => :high_sierra sha256 "2c8e09c8e42c16f36f4c5b4fa82b465402fd6b50e5c55e9b4befdae04636a5fc" => :sierra end depends_on "cmake" => :build depends_on "boost" depends_on "eigen" depends_on "nlopt" needs :cxx11 def install ENV.cxx11 system "cmake", ".", "-DPAGMO_WITH_EIGEN3=ON", "-DPAGMO_WITH_NLOPT=ON", *std_cmake_args system "make", "install" end test do (testpath/"test.cpp").write <<~EOS #include #include #include #include #include #include using namespace pagmo; int main() { // 1 - Instantiate a pagmo problem constructing it from a UDP // (user defined problem). problem prob{schwefel(30)}; // 2 - Instantiate a pagmo algorithm algorithm algo{sade(100)}; // 3 - Instantiate an archipelago with 16 islands having each 20 individuals archipelago archi{16, algo, prob, 20}; // 4 - Run the evolution in parallel on the 16 separate islands 10 times. archi.evolve(10); // 5 - Wait for the evolutions to be finished archi.wait_check(); // 6 - Print the fitness of the best solution in each island for (const auto &isl : archi) { std::cout << isl.get_population().champion_f()[0] << std::endl; } return 0; } EOS system ENV.cxx, "test.cpp", "-I#{Formula["eigen"].include}/eigen3", "-I#{include}", "-std=c++11", "-o", "test" system "./test" end end