81 lines
3.1 KiB
Ruby
81 lines
3.1 KiB
Ruby
class Pagmo < Formula
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desc "Scientific library for massively parallel optimization"
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homepage "https://esa.github.io/pagmo2/"
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url "https://github.com/esa/pagmo2/archive/v2.18.0.tar.gz"
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sha256 "5ad40bf3aa91857a808d6b632d9e1020341a33f1a4115d7a2b78b78fd063ae31"
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license any_of: ["LGPL-3.0-or-later", "GPL-3.0-or-later"]
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revision 2
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bottle do
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sha256 cellar: :any, arm64_ventura: "43a76dd45a8d85f6ea670675337c403a61f461678b60b22c0d6a0c1feefca761"
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sha256 cellar: :any, arm64_monterey: "ebee22f15722c58adacfa57e6055e3502f31465a6dde926f6f672fbee3769516"
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sha256 cellar: :any, arm64_big_sur: "cd404df2a833a26b171b51f1e00b765e6f796ca3fc2146ec253e6d626c7b1f5e"
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sha256 cellar: :any, ventura: "17f81db50b9bed1b30f95f59dee9c158d5a441e235aae53f4417b0e171e68a98"
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sha256 cellar: :any, monterey: "4b128647772e649ffcadfcabe191c5d6d1253b01056fdc56195040037004980f"
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sha256 cellar: :any, big_sur: "f87d29fadc20590569a49deb4794f4b5ba7783970b13909654f0a66485c029ec"
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sha256 cellar: :any, catalina: "9b225065bc980d683923746a6d88ce1d3f5fe02b9881cac6aa25b037cce5fab9"
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sha256 cellar: :any_skip_relocation, x86_64_linux: "e669f76c3d5f5dc9c40a47d38f46368f822190f56a58bbfe52a981f1b3061a00"
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end
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depends_on "cmake" => :build
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depends_on "boost"
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depends_on "eigen"
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depends_on "nlopt"
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depends_on "tbb"
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fails_with gcc: "5"
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def install
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system "cmake", ".", "-DPAGMO_WITH_EIGEN3=ON", "-DPAGMO_WITH_NLOPT=ON",
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*std_cmake_args,
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"-DCMAKE_CXX_STANDARD=17"
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system "make", "install"
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end
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test do
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(testpath/"test.cpp").write <<~EOS
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#include <iostream>
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#include <pagmo/algorithm.hpp>
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#include <pagmo/algorithms/sade.hpp>
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#include <pagmo/archipelago.hpp>
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#include <pagmo/problem.hpp>
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#include <pagmo/problems/schwefel.hpp>
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using namespace pagmo;
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int main()
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{
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// 1 - Instantiate a pagmo problem constructing it from a UDP
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// (i.e., a user-defined problem, in this case the 30-dimensional
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// generalised Schwefel test function).
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problem prob{schwefel(30)};
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// 2 - Instantiate a pagmo algorithm (self-adaptive differential
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// evolution, 100 generations).
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algorithm algo{sade(100)};
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// 3 - Instantiate an archipelago with 16 islands having each 20 individuals.
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archipelago archi{16u, algo, prob, 20u};
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// 4 - Run the evolution in parallel on the 16 separate islands 10 times.
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archi.evolve(10);
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// 5 - Wait for the evolutions to finish.
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archi.wait_check();
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// 6 - Print the fitness of the best solution in each island.
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for (const auto &isl : archi) {
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std::cout << isl.get_population().champion_f()[0] << std::endl;
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}
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return 0;
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}
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EOS
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system ENV.cxx, "test.cpp", "-I#{include}", "-L#{lib}", "-lpagmo",
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"-std=c++17", "-o", "test"
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system "./test"
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end
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end
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