37 lines
1.2 KiB
Ruby
37 lines
1.2 KiB
Ruby
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/v1.6.3.tar.gz"
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sha256 "e1a41c159f0b896975fbb133e0240a233af5c9286c09a28fde6aefff5336e542"
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license "MIT"
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bottle do
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cellar :any
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sha256 "457e410d8e5b009bf12cb1b5881485f03461646ef18ff8afb69dbbc7113519b4" => :catalina
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sha256 "b3eb242ff373017f8d7ba621fde32d745a6d7d6c5c7ca5de888b7f8087e94776" => :mojave
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sha256 "03b95260a4fdd6cceaa69bb4e7168939aadf2b608f998079f7511aec6171f2d1" => :high_sierra
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end
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depends_on "libomp"
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on_linux do
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depends_on "openblas"
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end
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def install
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system "./configure", "--without-cuda",
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"--prefix=#{prefix}",
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"ac_cv_prog_cxx_openmp=-Xpreprocessor -fopenmp",
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"LIBS=-lomp"
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system "make"
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system "make", "install"
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pkgshare.install "demos"
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end
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test do
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cp pkgshare/"demos/demo_imi_flat.cpp", testpath
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system ENV.cxx, "-std=c++11", "-L#{lib}", "-lfaiss", "demo_imi_flat.cpp", "-o", "test"
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assert_match "Query results", shell_output("./test")
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end
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end
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