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30 lines
1.2 KiB
30 lines
1.2 KiB
package("spectra") |
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set_kind("library", {headeronly = true}) |
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set_homepage("https://spectralib.org/") |
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set_description("Sparse Eigenvalue Computation Toolkit as a Redesigned ARPACK") |
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set_license("MPL-2.0") |
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add_urls("https://github.com/yixuan/spectra/archive/refs/tags/$(version).tar.gz", |
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"https://github.com/yixuan/spectra.git") |
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add_versions("v1.0.1", "919e3fbc8c539a321fd5a0766966922b7637cc52eb50a969241a997c733789f3") |
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add_deps("cmake", "eigen") |
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on_install("windows", "macosx", "linux", "mingw", "cross", function (package) |
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import("package.tools.cmake").install(package) |
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end) |
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on_test(function (package) |
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assert(package:check_cxxsnippets({test = [[ |
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#include <Eigen/Core> |
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#include <Spectra/SymEigsSolver.h> |
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void test() { |
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Eigen::MatrixXd A = Eigen::MatrixXd::Random(10, 10); |
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Eigen::MatrixXd M = A + A.transpose(); |
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Spectra::DenseSymMatProd<double> op(M); |
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Spectra::SymEigsSolver<Spectra::DenseSymMatProd<double>> eigs(op, 3, 6); |
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eigs.init(); |
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int nconv = eigs.compute(Spectra::SortRule::LargestAlge); |
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} |
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]]}, {configs = {languages = "c++14"}})) |
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end)
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