SEARCH
NEW RPMS
DIRECTORIES
ABOUT
FAQ
VARIOUS
BLOG

 
 

libfann2 rpm build for : Mageia 9. For other distributions click libfann2.

Name : libfann2
Version : 2.2.0 Vendor : Mageia_Org
Release : 10.mga9 Date : 2022-03-17 01:45:23
Group : System/Libraries Source RPM : fann-2.2.0-10.mga9.src.rpm
Size : 0.34 MB
Packager : umeabot < umeabot>
Summary : Fast artificial neural networks development library
Description :
Fast Artificial Neural Network (FANN) 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.

RPM found in directory: /vol/rzm3/linux-mageia/distrib/9/i586/media/core/release

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  libfann2-2.2.0-10.mga9.i586.rpm
     Search for other platforms
libfann2-2.2.0-10.mga9.sparc.rpm
libfann2-2.2.0-10.mga9.alpha.rpm
libfann2-2.2.0-10.mga9.ppc.rpm
libfann2-2.2.0-10.mga9.ia64.rpm
libfann2-2.2.0-10.mga9.s390.rpm

Provides :
libdoublefann.so.2
libfann.so.2
libfann2
libfann2(x86-32)
libfixedfann.so.2
libfloatfann.so.2

Requires :
libc.so.6
libc.so.6(GLIBC_2.0)
libc.so.6(GLIBC_2.1)
libc.so.6(GLIBC_2.1.3)
libc.so.6(GLIBC_2.3.4)
libc.so.6(GLIBC_2.7)
libm.so.6
libm.so.6(GLIBC_2.0)
libm.so.6(GLIBC_2.29)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsZstd) <= 5.4.18-1


Content of RPM :
/usr/lib/.build-id
/usr/lib/.build-id/16
/usr/lib/.build-id/16/2570b6aac0ada933814ded695d89fa4784ef89
/usr/lib/.build-id/20
/usr/lib/.build-id/20/5c22bf2824681bf59526d216fc853186d49d32
/usr/lib/.build-id/2a
/usr/lib/.build-id/2a/5489ac12f472147e244bcc7b35ac9702d8dc39
/usr/lib/.build-id/67
/usr/lib/.build-id/67/7728a69cf8cfa0c5a81ab376b420c96207f455
/usr/lib/libdoublefann.so.2
/usr/lib/libdoublefann.so.2.2.0
/usr/lib/libfann.so.2
/usr/lib/libfann.so.2.2.0
/usr/lib/libfixedfann.so.2
/usr/lib/libfixedfann.so.2.2.0
/usr/lib/libfloatfann.so.2
/usr/lib/libfloatfann.so.2.2.0

 
ICM
This page is using cookies. Read moreOK, I understand