[pyevolve] 14/81: More precise package descriptions

[Christian Kastner]

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chrisk-guest pushed a commit to branch master
in repository pyevolve.

commit 4b92984755f87627d8ee342284f0f8c191ff4bb6
Author: Christian Kastner <debian at kvr.at>
Date:   Thu Jun 24 15:55:05 2010 +0200

    More precise package descriptions
---
 debian/control | 46 ++++++++++++----------------------------------
 1 file changed, 12 insertions(+), 34 deletions(-)

diff --git a/debian/control b/debian/control
index 7ec9cc5..ed5469b 100644
--- a/debian/control
+++ b/debian/control
@@ -31,25 +31,15 @@ Recommends:
     python-pydot
 Suggests:
     python-visual
-Description: Complete genetic algorithm framework written in pure python
+Description: Complete genetic algorithm framework
  Pyevolve was developed to be a complete genetic algorithm framework written in
- pure python. The main objectives of Pyevolve are:
+ pure Python. It provides an easy-to-use API, implementing the most common
+ features of GA, including various selectors and scaling schemes. It is also
+ easily extendable, allowing users to create new representations and genetic
+ operators. Various methods of interactive and non-interactive visualization
+ are supported.
  .
-  * written in pure python  - to maximize the cross-platform aspect
-  * easy to use API         - the API must simple to use to the end-user
-  * see the evolution       - the user must be able to see and interact with
-                              the evolution statistics, graphs, etc.
-  * extensible              - the API must be extensible, the user must be able
-                              to create new representations, genetic operators
-                              such as crossover, mutation, etc.
-  * fast                    - the design must be optimized for performance
-  * common features         - the framework must implement the most common
-                              features of GA: selectors like roulette wheel,
-                              tournament, ranking, uniform. Scaling schemes
-                              such as linear scaling, etc.
-  * default parameters      - There must be sensible defaults for all
-                              operators, settings, etc.
-  * open-source             - the source must be available to everyone.
+ This package contains the Python modules.
  
 Package: python-pyevolve-doc
 Section: doc
@@ -61,22 +51,10 @@ Suggests:
     libjs-jquery
 Description: Documentation for the Pyevolve genetic algorithm framework
  Pyevolve was developed to be a complete genetic algorithm framework written in
- pure python. The main objectives of Pyevolve are:
- .
-  * written in pure python  - to maximize the cross-platform aspect
-  * easy to use API         - the API must be simple to use to the end-user
-  * see the evolution       - the user must be able to see and interact with
-                              the evolution statistics, graphs, etc.
-  * extensible              - the API must be extensible, the user can create
-                              new representations, genetic operators such as
-                              crossover, mutation, etc.
-  * fast                    - the design must be optimized for performance
-  * common features         - the framework must implement the most common
-                              features of GA: selectors like roulette wheel,
-                              tournament, ranking, uniform. Scaling schemes
-                              such as linear scaling, etc.
-  * default parameters      - There must be sensible defaults for all
-                              operators, settings, etc.
-  * open-source             - the source must be available to everyone.
+ pure Python. It provides an easy-to-use API, implementing the most common
+ features of GA, including various selectors and scaling schemes. It is also
+ easily extendable, allowing users to create new representations and genetic
+ operators. Various methods of interactive and non-interactive visualization
+ are supported.
  . 
  This package contains the documentation for Pyevolve in HTML form.

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