How to Install and Uninstall bogofilter-common Package on openSUSE Leap
Last updated: November 07,2024
1. Install "bogofilter-common" package
Please follow the steps below to install bogofilter-common on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
bogofilter-common
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2. Uninstall "bogofilter-common" package
This tutorial shows how to uninstall bogofilter-common on openSUSE Leap:
$
sudo zypper remove
bogofilter-common
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3. Information about the bogofilter-common package on openSUSE Leap
Information for package bogofilter-common:
------------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : bogofilter-common
Version : 1.2.4-150000.3.2.3
Arch : noarch
Vendor : SUSE LLC
Installed Size : 190.5 KiB
Installed : No
Status : not installed
Source package : bogofilter-1.2.4-150000.3.2.3.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 : Update repository with updates from SUSE Linux Enterprise 15
Name : bogofilter-common
Version : 1.2.4-150000.3.2.3
Arch : noarch
Vendor : SUSE LLC
Installed Size : 190.5 KiB
Installed : No
Status : not installed
Source package : bogofilter-1.2.4-150000.3.2.3.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