[Pkg-haskell-commits] darcs: haskell-markov-chain: Move Haskell blurb to the end of the description, reduces the impact of #708703

[Joachim Breitner]

Sat May 25 21:42:59 UTC 2013  Joachim Breitner <mail at joachim-breitner.de>
  * Move Haskell blurb to the end of the description, reduces the impact of #708703
  Ignore-this: 812eb3224012ecfdffb83e2e987bce74

    M ./changelog +7
    M ./control -6 +6

Sat May 25 21:42:59 UTC 2013  Joachim Breitner <mail at joachim-breitner.de>
  * Move Haskell blurb to the end of the description, reduces the impact of #708703
  Ignore-this: 812eb3224012ecfdffb83e2e987bce74
diff -rN -u old-haskell-markov-chain//changelog new-haskell-markov-chain//changelog
--- old-haskell-markov-chain//changelog	2013-05-26 07:44:25.494065271 +0000
+++ new-haskell-markov-chain//changelog	2013-05-26 07:44:25.501739648 +0000
@@ -1,3 +1,10 @@
+haskell-markov-chain (0.0.3.2-4) UNRELEASED; urgency=low
+
+  * Move Haskell blurb to the end of the description, reduces the impact
+    of #708703
+
+ -- Joachim Breitner <nomeata at debian.org>  Sat, 25 May 2013 23:42:59 +0200
+
 haskell-markov-chain (0.0.3.2-3) unstable; urgency=low
 
   * Enable compat level 9
diff -rN -u old-haskell-markov-chain//control new-haskell-markov-chain//control
--- old-haskell-markov-chain//control	2013-05-26 07:44:25.482204946 +0000
+++ new-haskell-markov-chain//control	2013-05-26 07:44:25.499037909 +0000
@@ -27,13 +27,13 @@
 Suggests: ${haskell:Suggests}
 Provides: ${haskell:Provides}
 Description: Markov Chains for random sequence generation${haskell:ShortBlurb}
- ${haskell:Blurb}
- .
  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. 
+ .
+ ${haskell:Blurb}
 
 Package: libghc-markov-chain-prof
 Architecture: any
@@ -42,13 +42,13 @@
 Suggests: ${haskell:Suggests}
 Provides: ${haskell:Provides}
 Description: Markov Chains for random sequence generation${haskell:ShortBlurb}
- ${haskell:Blurb}
- .
  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. 
+ .
+ ${haskell:Blurb}
 
 Package: libghc-markov-chain-doc
 Section: doc
@@ -57,10 +57,10 @@
 Recommends: ${haskell:Recommends}
 Suggests: ${haskell:Suggests}
 Description: Markov Chains for random sequence generation${haskell:ShortBlurb}
- ${haskell:Blurb}
- .
  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. 
+ .
+ ${haskell:Blurb}