[Pkg-haskell-maintainers] haskell-markov-chain_0.0.3.1-2_amd64.changes is NEW

[Debian FTP Masters]

haskell-markov-chain_0.0.3.1-2.debian.tar.gz
  to main/h/haskell-markov-chain/haskell-markov-chain_0.0.3.1-2.debian.tar.gz
haskell-markov-chain_0.0.3.1-2.dsc
  to main/h/haskell-markov-chain/haskell-markov-chain_0.0.3.1-2.dsc
(new) libghc-markov-chain-dev_0.0.3.1-2_amd64.deb extra haskell
Markov Chains for random sequence generation
 This package provides a library for the Haskell programming language.
 See http://www.haskell.org/ for more information on Haskell.
 .
 This library can be used to generate random sequences with a behaviour
 adapted to some training data. The algorithm analyses your input/training
 data with respect to how likely a given letter follows another one, then
 on recomposition it chooses subsequent letters randomly according to the
 frequencies found in the training data.
(new) libghc-markov-chain-doc_0.0.3.1-2_all.deb extra doc
Markov Chains for random sequence generation; documentation
 This package provides the documentation for a library for the Haskell
 programming language.
 See http://www.haskell.org/ for more information on Haskell.
 .
 This library can be used to generate random sequences with a behaviour
 adapted to some training data. The algorithm analyses your input/training
 data with respect to how likely a given letter follows another one, then
 on recomposition it chooses subsequent letters randomly according to the
 frequencies found in the training data.
(new) libghc-markov-chain-prof_0.0.3.1-2_amd64.deb extra haskell
Markov Chains for random sequence generation; profiling libraries
 This package provides a library for the Haskell programming language
 compiled for profiling.
 See http://www.haskell.org/ for more information on Haskell.
 .
 This library can be used to generate random sequences with a behaviour
 adapted to some training data. The algorithm analyses your input/training
 data with respect to how likely a given letter follows another one, then
 on recomposition it chooses subsequent letters randomly according to the
 frequencies found in the training data.
Changes: haskell-markov-chain (0.0.3.1-2) unstable; urgency=low
 .
  [ Marco Silva ]
  * Use ghc instead of ghc6


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