homebrew-core/Formula/eigenpy.rb

59 lines
2.3 KiB
Ruby

class Eigenpy < Formula
desc "Python bindings of Eigen library with Numpy support"
homepage "https://github.com/stack-of-tasks/eigenpy"
url "https://github.com/stack-of-tasks/eigenpy/releases/download/v2.6.10/eigenpy-2.6.10.tar.gz"
sha256 "1ec1e166db0dddb8175d86c94697a41b387adf1c3a137827ff6ac35db6149880"
license "BSD-2-Clause"
revision 1
head "https://github.com/stack-of-tasks/eigenpy.git", branch: "master"
bottle do
sha256 cellar: :any, arm64_monterey: "788b13fe2bb3a5c16ccc31d2f08db9e922ee132c7f3cb79eda6c6964df9569ce"
sha256 cellar: :any, arm64_big_sur: "761b59d40dec36c913826cd5eca4a8a855409d5b4bc6aead009211c8d638cd80"
sha256 cellar: :any, monterey: "f5660a359a4c8568ca72d903f8f7ac2fbee08e3adbd9e82d925dd0cefa397dad"
sha256 cellar: :any, big_sur: "434939efe5d0a653f3c2a3c5ee5b7b8774e513ae97a406c402c2417facd0d63d"
sha256 cellar: :any, catalina: "2596920032ac5649fe1349f002f59bf264cfd25d6f1d8ddf3b21a92af2db6430"
sha256 cellar: :any_skip_relocation, x86_64_linux: "0b6a93ca7b23558ecf2b4052eb52b4e8c276dacd430efc82c8edbb6c4cb040b7"
end
depends_on "boost" => :build
depends_on "cmake" => :build
depends_on "doxygen" => :build
depends_on "boost-python3"
depends_on "eigen"
depends_on "numpy"
depends_on "python@3.9"
def install
pyver = Language::Python.major_minor_version "python3"
python = Formula["python@#{pyver}"].opt_bin/"python#{pyver}"
ENV.prepend_path "PYTHONPATH", Formula["numpy"].opt_prefix/Language::Python.site_packages("python3")
ENV.prepend_path "Eigen3_DIR", Formula["eigen"].opt_share/"eigen3/cmake"
mkdir "build" do
args = *std_cmake_args
args << "-DPYTHON_EXECUTABLE=#{python}"
args << "-DBUILD_UNIT_TESTS=OFF"
system "cmake", "..", *args
system "make"
system "make", "install"
end
end
test do
system Formula["python@3.9"].opt_bin/"python3", "-c", <<~EOS
import numpy as np
import eigenpy
A = np.random.rand(10,10)
A = 0.5*(A + A.T)
ldlt = eigenpy.LDLT(A)
L = ldlt.matrixL()
D = ldlt.vectorD()
P = ldlt.transpositionsP()
assert eigenpy.is_approx(np.transpose(P).dot(L.dot(np.diag(D).dot(np.transpose(L).dot(P)))),A)
EOS
end
end