./devel/hyperscan, High-performance regular expression matching library

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Branch: CURRENT, Version: 5.0.0, Package name: hyperscan-5.0.0, Maintainer: minskim

Hyperscan is a high-performance multiple regex matching library. It
follows the regular expression syntax of the commonly-used libpcre
library, but is a standalone library with its own C API. Hyperscan
uses hybrid automata techniques to allow simultaneous matching of
large numbers (up to tens of thousands) of regular expressions and for
the matching of regular expressions across streams of data.


Required to build:
[devel/boost-headers] [devel/ragel] [lang/python27] [pkgtools/cwrappers]

Master sites:

SHA1: 5cb3fc5726950c4025854da8ec05a15f929279db
RMD160: e172831d368ad5565355ba5da93837c65183c7aa
Filesize: 1759.003 KB

Version history: (Expand)


CVS history: (Expand)


   2018-08-17 18:03:20 by Min Sik Kim | Files touched by this commit (2)
Log message:
devel/hyperscan: Fix build with boost-1.68.0
   2018-07-25 02:26:30 by Min Sik Kim | Files touched by this commit (7) | Package updated
Log message:
devel/hyperscan: Update to 5.0.0

New features:

- A hybrid library of Hyperscan and PCRE called Chimera
- Logical combination matching
- Experimental support for Windows
   2018-06-02 21:13:45 by Joerg Sonnenberger | Files touched by this commit (5)
Log message:
NetBSD has popcount, use it. Don't install non-portable examples.
Bump revision.
   2018-05-08 00:19:34 by Min Sik Kim | Files touched by this commit (3)
Log message:
devel/hyperscan: Add patches
   2018-05-08 00:18:53 by Min Sik Kim | Files touched by this commit (5)
Log message:
devel/hyperscan: Import version 4.7.0

Hyperscan is a high-performance multiple regex matching library. It
follows the regular expression syntax of the commonly-used libpcre
library, but is a standalone library with its own C API. Hyperscan
uses hybrid automata techniques to allow simultaneous matching of
large numbers (up to tens of thousands) of regular expressions and for
the matching of regular expressions across streams of data.