---
- branch: MAIN
  date: Wed Dec  2 17:22:18 UTC 2015
  files:
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/DESCR
    pathrev: pkgsrc/devel/tlsh/DESCR@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/Makefile
    pathrev: pkgsrc/devel/tlsh/Makefile@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/Makefile.common
    pathrev: pkgsrc/devel/tlsh/Makefile.common@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/PLIST
    pathrev: pkgsrc/devel/tlsh/PLIST@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/buildlink3.mk
    pathrev: pkgsrc/devel/tlsh/buildlink3.mk@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/devel/tlsh/distinfo
    pathrev: pkgsrc/devel/tlsh/distinfo@1.1
    type: added
  id: 20151202T172218Z.d59aef3c52c9fef58291be15d5093fcbc4423bd7
  log: |
    Import tlsh-3.4.3 as devel/tlsh.

    TLSH is a fuzzy matching library. Given a byte stream with a minimum
    length of 256 bytes (and a minimum amount of randomness - see note
    in Python extension below), TLSH generates a hash value which can
    be used for similarity comparisons.  Similar objects will have
    similar hash values which allows for the detection of similar
    objects by comparing their hash values.  Note that the byte stream
    should have a sufficient amount of complexity.  For example, a byte
    stream of identical bytes will not generate a hash value.
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/devel/tlsh'
  unixtime: '1449076938'
  user: wiz