forked from mirrors/nixpkgs
76 lines
2.5 KiB
Nix
76 lines
2.5 KiB
Nix
{ lib, stdenv, fetchFromGitHub, cmake, ragel, python3
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, coreutils, gnused, util-linux, fetchpatch
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, boost
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, withStatic ? false # build only shared libs by default, build static+shared if true
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}:
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# NOTICE: pkg-config, pcap and pcre intentionally omitted from build inputs
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# pcap used only in examples, pkg-config used only to check for pcre
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# which is fixed 8.41 version requirement (nixpkgs have 8.42+, and
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# I not see any reason (for now) to backport 8.41.
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stdenv.mkDerivation rec {
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pname = "hyperscan";
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version = "5.4.0";
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src = fetchFromGitHub {
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owner = "intel";
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repo = pname;
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sha256 = "sha256-AJAjaXVnGqIlMk+gb6lpTLUdZr8nxn2XSW4fj6j/cmk=";
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rev = "v${version}";
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};
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outputs = [ "out" "dev" ];
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buildInputs = [ boost ];
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nativeBuildInputs = [
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cmake ragel python3
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# Consider simply using busybox for these
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# Need at least: rev, sed, cut, nm
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coreutils gnused util-linux
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];
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cmakeFlags = [
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"-DFAT_RUNTIME=ON"
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"-DBUILD_AVX512=ON"
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]
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++ lib.optional (withStatic) "-DBUILD_STATIC_AND_SHARED=ON"
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++ lib.optional (!withStatic) "-DBUILD_SHARED_LIBS=ON";
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patches = [
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(fetchpatch {
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# part of https://github.com/intel/hyperscan/pull/336
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url = "https://github.com/intel/hyperscan/commit/e2c4010b1fc1272cab816ba543940b3586e68a0c.patch";
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sha256 = "sha256-doVNwROL6MTcgOW8jBwGTnxe0zvxjawiob/g6AvXLak=";
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})
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];
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postPatch = ''
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sed -i '/examples/d' CMakeLists.txt
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substituteInPlace libhs.pc.in \
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--replace "libdir=@CMAKE_INSTALL_PREFIX@/@CMAKE_INSTALL_LIBDIR@" "libdir=@CMAKE_INSTALL_LIBDIR@" \
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--replace "includedir=@CMAKE_INSTALL_PREFIX@/@CMAKE_INSTALL_INCLUDEDIR@" "includedir=@CMAKE_INSTALL_INCLUDEDIR@"
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'';
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meta = with lib; {
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description = "High-performance multiple regex matching library";
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longDescription = ''
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Hyperscan is a high-performance multiple regex matching library.
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It follows the regular expression syntax of the commonly-used
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libpcre library, but is a standalone library with its own C API.
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Hyperscan uses hybrid automata techniques to allow simultaneous
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matching of large numbers (up to tens of thousands) of regular
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expressions and for the matching of regular expressions across
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streams of data.
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Hyperscan is typically used in a DPI library stack.
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'';
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homepage = "https://www.hyperscan.io/";
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maintainers = with maintainers; [ avnik ];
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platforms = [ "x86_64-linux" ]; # can't find nm on darwin ; might build on aarch64 but untested
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license = licenses.bsd3;
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};
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}
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