83 lines
3.0 KiB
Ruby
83 lines
3.0 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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bottle do
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sha256 cellar: :any, arm64_monterey: "26f757c02d4e087032f684151fcf5c1f202e82b77c12520ecd0fc9e3c1063831"
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sha256 cellar: :any, arm64_big_sur: "4078c9db26232af1918e92c1fe2f452eb346fe07564cf49ff6cf840164f3f0b0"
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sha256 cellar: :any, monterey: "38b19943404fcb304e69a51f0e96e3f229080ece753977a083e5d20071034a67"
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sha256 cellar: :any, big_sur: "e3fe9ef3f10e0f3a8a374afb3ce6dde2eb1a4e269fb810cc18e7be641a638c81"
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sha256 cellar: :any, catalina: "f5623fc821e2df72e40215540dd642841777bc925926315a373818d31fe58b33"
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sha256 cellar: :any, mojave: "7c5416e486a9683c6a919717a5c3bfc1ab2dd294f7c328fcb3a9cdc7b535aac5"
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sha256 cellar: :any_skip_relocation, x86_64_linux: "aabb46831cf4526dfaa960063208248beb827d5c74f70bc5e0a12552d71f81d9"
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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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on_linux do
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depends_on "gcc"
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end
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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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