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Source: python-fann2
Section: python
Priority: optional
Maintainer: Christian Kastner <ckk@debian.org>
Build-Depends:
debhelper-compat (= 12),
dh-python,
python-all-dev,
python-setuptools,
python3-all-dev,
python3-setuptools,
swig (>= 2.0.4-2),
libfann-dev (>= 2.2.0),
Rules-Requires-Root: no
Standards-Version: 4.3.0
Homepage: https://github.com/FutureLinkCorporation/fann2/
Vcs-Git: https://salsa.debian.org/science-team/python-fann2.git
Vcs-Browser: https://salsa.debian.org/science-team/python-fann2
Package: python3-fann2
Architecture: any
Depends:
${python3:Depends},
${shlibs:Depends},
${misc:Depends},
Description: Python 3 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.
.
This package contains the Python 3 bindings for FANN.
Package: python-fann2
Architecture: any
Depends:
${python:Depends},
${shlibs:Depends},
${misc:Depends},
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.
.
This package contains the Python bindings for FANN.
Package: python-pyfann
Section: oldlibs
Architecture: any
Depends:
${python:Depends},
${shlibs:Depends},
${misc:Depends},
python-fann2,
Description: deprecated 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.
.
This package provides the Python bindings for FANN under their former name
"pyfann". However, these are deprecated, and you should migrate your code
to use the bindings from python-fann2 instead.
|
