[Python-modules-commits] r30530 - in packages/deap/trunk/debian (changelog control)

[danstender-guest at users.alioth.debian.org]

    Date: Sunday, September 7, 2014 @ 23:39:25
  Author: danstender-guest
Revision: 30530

changed package descriptions (antiquated)

Modified:
  packages/deap/trunk/debian/changelog
  packages/deap/trunk/debian/control

Modified: packages/deap/trunk/debian/changelog
===================================================================
--- packages/deap/trunk/debian/changelog	2014-09-07 23:14:02 UTC (rev 30529)
+++ packages/deap/trunk/debian/changelog	2014-09-07 23:39:25 UTC (rev 30530)
@@ -5,6 +5,7 @@
     + Added package description for python3-deap.
     + Renamed docs package (changed doc-base accordingly).
     + Updated b-ds and package dependencies.
+    + Changed package descriptions (antiquated).
   * deb/copyright:
     + Removed redundant paragraph.
   * deb/rules:
@@ -16,7 +17,7 @@
     + doc.patch: added Forwarded info line.
   * Removed deb/source/options and deb/README.source (obsolete).
 
- -- Daniel Stender <debian at danielstender.com>  Mon, 08 Sep 2014 00:47:06 +0200
+ -- Daniel Stender <debian at danielstender.com>  Mon, 08 Sep 2014 01:36:29 +0200
 
 deap (1.0.1-1) unstable; urgency=low
 

Modified: packages/deap/trunk/debian/control
===================================================================
--- packages/deap/trunk/debian/control	2014-09-07 23:14:02 UTC (rev 30529)
+++ packages/deap/trunk/debian/control	2014-09-07 23:39:25 UTC (rev 30530)
@@ -23,13 +23,12 @@
 Suggests:
  deap-doc
 Description: Distributed Evolutionary Algorithms in Python
- DEAP is intended to be an easy to use distributed evolutionary algorithm
- library in the Python language. Its two main components are modular and can
- be used separately. The first module is a Distributed Task Manager (DTM),
- which is intended to run on cluster of computers. The second part is the
- Evolutionary Algorithms in Python (EAP) framework.
+ DEAP is a novel evolutionary computation framework for rapid prototyping and 
+ testing of ideas. It seeks to make algorithms explicit and data structures 
+ transparent. It works in perfect harmony with parallelisation mechanism such as 
+ multiprocessing and SCOOP.
  .
- This package contains the modules for Python2.
+ This package contains the modules for Python.
 
 Package: python3-deap
 Architecture: all
@@ -39,11 +38,10 @@
 Suggests:
  deap-doc
 Description: Distributed Evolutionary Algorithms in Python3
- DEAP is intended to be an easy to use distributed evolutionary algorithm
- library in the Python language. Its two main components are modular and can
- be used separately. The first module is a Distributed Task Manager (DTM),
- which is intended to run on cluster of computers. The second part is the
- Evolutionary Algorithms in Python (EAP) framework.
+ DEAP is a novel evolutionary computation framework for rapid prototyping and 
+ testing of ideas. It seeks to make algorithms explicit and data structures 
+ transparent. It works in perfect harmony with parallelisation mechanism such as 
+ multiprocessing and SCOOP.
  .
  This package contains the modules for Python3.
 
@@ -57,10 +55,9 @@
  python-deap,
  python3-deap
 Description: Distributed Evolutionary Algorithms in Python (docs)
- DEAP is intended to be an easy to use distributed evolutionary algorithm
- library in the Python language. Its two main components are modular and can
- be used separately. The first module is a Distributed Task Manager (DTM),
- which is intended to run on cluster of computers. The second part is the
- Evolutionary Algorithms in Python (EAP) framework.
+ DEAP is a novel evolutionary computation framework for rapid prototyping and 
+ testing of ideas. It seeks to make algorithms explicit and data structures 
+ transparent. It works in perfect harmony with parallelisation mechanism such as 
+ multiprocessing and SCOOP.
  .
  This package contains the documentation.