[libfann] 16/133: Updated package descriptions
Christian Kastner
chrisk-guest at moszumanska.debian.org
Sat Oct 4 21:07:44 UTC 2014
This is an automated email from the git hooks/post-receive script.
chrisk-guest pushed a commit to branch master
in repository libfann.
commit e5282450531d225b507c8797cbeccd548260dee2
Author: Christian Kastner <debian at kvr.at>
Date: Mon Jun 7 14:35:48 2010 +0200
Updated package descriptions
---
debian/changelog | 1 +
debian/control | 49 +++++++++++++++++++++++--------------------------
2 files changed, 24 insertions(+), 26 deletions(-)
diff --git a/debian/changelog b/debian/changelog
index a50b46c..dacacb1 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -6,6 +6,7 @@ libfann2 (2.1.0~beta~dfsg-1) UNRELEASED; urgency=low
- Repackaged upstream version to remove non-DFSG-compliant files
* debian/control:
- Renamed source package from libfann2 to libfann
+ - Updated package descriptions
* debian/source/format:
- Convert to format 3.0 (quilt)
* libfann2-py:
diff --git a/debian/control b/debian/control
index 363e89f..b63cb60 100644
--- a/debian/control
+++ b/debian/control
@@ -17,17 +17,16 @@ Depends:
Suggests:
libfann2-dev (= ${Source-Version})
Description: Fast Artificial Neural Network Library
- is a free open source neural network library, which implements multilayer
- artificial neural networks in C with support for both fully connected and
+ Fast Artificial Neural Network Library is a free open
+ source neural network library, which implements multilayer artificial
+ neural networks in C with support for both fully connected and
sparsely connected networks. Cross-platform execution in both fixed
and floating point are supported. It includes a framework for easy
handling of training data sets. It is easy to use, versatile, well
- documented, and fast. PHP, C++, .NET, Python, Delphi, Octave, Ruby,
- Pure Data and Mathematica bindings are available. A reference manual
- accompanies the library with examples and recommendations on how to
- use the library. A graphical user interface is also available for the
- library.
- .
+ documented, and fast. A python binding is available, and bindings for
+ PHP, C++, .NET, Python, Delphi, Octave, Ruby, Pure Data and Mathematica
+ can be downloaded from FANN's homepage.
+ .
This package contains the shared libraries.
Package: libfann2-dev
@@ -36,20 +35,20 @@ Architecture: any
Depends:
libfann2 (= ${Source-Version})
Conflicts: libfann1-dev
-Description: Fast Artificial Neural Network Library
- is a free open source neural network library, which implements multilayer
- artificial neural networks in C with support for both fully connected and
+Description: Development libraries and header files for FANN
+ Fast Artificial Neural Network Library is a free open
+ source neural network library, which implements multilayer artificial
+ neural networks in C with support for both fully connected and
sparsely connected networks. Cross-platform execution in both fixed
and floating point are supported. It includes a framework for easy
handling of training data sets. It is easy to use, versatile, well
- documented, and fast. PHP, C++, .NET, Python, Delphi, Octave, Ruby,
- Pure Data and Mathematica bindings are available. A reference manual
- accompanies the library with examples and recommendations on how to
- use the library. A graphical user interface is also available for the
- library.
+ documented, and fast. A python binding is available, and bindings for
+ PHP, C++, .NET, Python, Delphi, Octave, Ruby, Pure Data and Mathematica
+ can be downloaded from FANN's homepage.
.
- This package contains the header files and static libraries which is
- needed for developing the libfann applications.
+ This package contains the header files and static libraries which are
+ needed for developing the libfann applications. It also includes some
+ examples.
Package: python-pyfann
Section: python
@@ -60,18 +59,16 @@ Depends:
libfann2
Suggests:
libfann2-dev (= ${Source-Version})
-Description: Python FANN Bindings (pyfann)
+Description: Python bindings for FANN
Fast Artificial Neural Network Library is a free open
source neural network library, which implements multilayer artificial
neural networks in C with support for both fully connected and
sparsely connected networks. Cross-platform execution in both fixed
and floating point are supported. It includes a framework for easy
handling of training data sets. It is easy to use, versatile, well
- documented, and fast. PHP, C++, .NET, Python, Delphi, Octave, Ruby,
- Pure Data and Mathematica bindings are available. A reference manual
- accompanies the library with examples and recommendations on how to
- use the library. A graphical user interface is also available for the
- library.
- .
- This package contains the python wrapper.
+ documented, and fast. A python binding is available, and bindings for
+ PHP, C++, .NET, Python, Delphi, Octave, Ruby, Pure Data and Mathematica
+ can be downloaded from FANN's homepage.
+ .
+ This package contains the python wrapper for FANN.
--
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