Hi, On Fri, 2004-04-16 at 21:38, Rene Engelhard wrote: > Hi. > > Steffen Nissen wrote: > > Tried to build it with pbuilder, but still the same problem. Am I doing > > something wrong? > > You probably are missing an appropriate Section: field for the source > part (the first one) of your debian/control file..) Yeah, it seems like this is the problem, but since this is my first attempt at a debian package, I do not know how to fix it. I have attached my debian/control file for people to see and correct, since I obviously does not know how to fix it. Regards, Steffen
Source: libfann1
Priority: optional
Maintainer: Steffen Nissen <lukesky@diku.dk>
Build-Depends: debhelper (>= 4.0.0)
Standards-Version: 3.6.0
Package: libfann1-dev
Section: devel
Architecture: any
Depends: libfann1 (= ${Source-Version})
Description: Fast Artificial Neural Network Library, Development files
fann is implemented in ANSI C. The library implements multilayer
feedforward networks with support for both fully connected and sparse
connected networks. Fann offers support for execution in fixed point
arithmetic to allow for fast execution on systems with no floating
point processor. To overcome the problems of integer overflow, the
library calculates a position of the decimal point after training and
guarantees that integer overflow can not occur with this decimal
point.
.
The library is designed to be fast, versatile and easy to use. Several
benchmarks have been executed to test the performance of the
library. The results show that the fann library is significantly
faster than other libraries on systems without a floating point
processor, while the performance was comparable to other highly
optimized libraries on systems with a floating point processor.
Package: libfann1
Section: libs
Architecture: any
Depends: ${shlibs:Depends}
Suggests: libfann1-dev (= ${Source-Version})
Description: Fast Artificial Neural Network Library (fann)
fann is implemented in ANSI C. The library implements multilayer
feedforward networks with support for both fully connected and sparse
connected networks. Fann offers support for execution in fixed point
arithmetic to allow for fast execution on systems with no floating
point processor. To overcome the problems of integer overflow, the
library calculates a position of the decimal point after training and
guarantees that integer overflow can not occur with this decimal
point.
.
The library is designed to be fast, versatile and easy to use. Several
benchmarks have been executed to test the performance of the
library. The results show that the fann library is significantly
faster than other libraries on systems without a floating point
processor, while the performance was comparable to other highly
optimized libraries on systems with a floating point processor.
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