2020-01-18 22:34:27 +00:00
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class Faiss < Formula
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desc "Efficient similarity search and clustering of dense vectors"
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homepage "https://github.com/facebookresearch/faiss"
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url "https://github.com/facebookresearch/faiss/archive/v1.6.1.tar.gz"
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sha256 "827437c9a684fcb88ee21a8fd8f0ecd94f36e2db213f74357d0465c5a7e72ac6"
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2020-01-21 07:38:34 +00:00
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bottle do
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cellar :any
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sha256 "e8d0ed10a711ac67fd529950a015c1df0c522273de713a6d4cd10acf0821a569" => :catalina
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sha256 "fedb0fa752508df5c68b99140d4f14be6e5f1f06d1ea6cc3e0b23a86dfc83e3a" => :mojave
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sha256 "5c5112d0ec9c2c177ed076f4c519e87850e8b59d19decc1e91b9136f3739658c" => :high_sierra
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end
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2020-01-18 22:34:27 +00:00
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depends_on "libomp"
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def install
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system "./configure", "--without-cuda",
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"--prefix=#{prefix}"
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system "make"
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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 <faiss/IndexFlat.h>
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int main()
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{
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faiss::IndexFlatL2 index(64);
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return 0;
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}
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EOS
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system ENV.cxx, "-std=c++11", "-L#{lib}", "-lfaiss", "test.cpp", "-o", "test"
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system "./test"
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end
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end
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