How to Install and Uninstall bogofilter-common Package on openSuSE Tumbleweed
Last updated: December 24,2024
1. Install "bogofilter-common" package
This guide covers the steps necessary to install bogofilter-common on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
bogofilter-common
Copied
2. Uninstall "bogofilter-common" package
This guide covers the steps necessary to uninstall bogofilter-common on openSuSE Tumbleweed:
$
sudo zypper remove
bogofilter-common
Copied
3. Information about the bogofilter-common package on openSuSE Tumbleweed
Information for package bogofilter-common:
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : bogofilter-common
Version : 1.2.4-16.1
Arch : noarch
Vendor : openSUSE
Installed Size : 190.5 KiB
Installed : No
Status : not installed
Source package : bogofilter-db-src-1.2.4-16.1.src
Upstream URL : http://bogofilter.sourceforge.net/
Summary : Fast Anti-Spam Filtering by Bayesian Statistical Analysis
Description :
Bogofilter is a Bayesian spam filter. In normal operation, it takes an
e-mail message or text from standard input, does a statistical check
against lists of "good" and "bad" words, and returns a status code
indicating whether the message is spam. Bogofilter is designed with
fast algorithms (including the Berkeley DB system), coded directly in
C, and tuned for speed, so it can be used for production by sites that
process a lot of mail.
This package contains shared files for various bogofilter backends
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : bogofilter-common
Version : 1.2.4-16.1
Arch : noarch
Vendor : openSUSE
Installed Size : 190.5 KiB
Installed : No
Status : not installed
Source package : bogofilter-db-src-1.2.4-16.1.src
Upstream URL : http://bogofilter.sourceforge.net/
Summary : Fast Anti-Spam Filtering by Bayesian Statistical Analysis
Description :
Bogofilter is a Bayesian spam filter. In normal operation, it takes an
e-mail message or text from standard input, does a statistical check
against lists of "good" and "bad" words, and returns a status code
indicating whether the message is spam. Bogofilter is designed with
fast algorithms (including the Berkeley DB system), coded directly in
C, and tuned for speed, so it can be used for production by sites that
process a lot of mail.
This package contains shared files for various bogofilter backends