How to Install and Uninstall python3-Rivet Package on openSuSE Tumbleweed
Last updated: January 11,2025
1. Install "python3-Rivet" package
This is a short guide on how to install python3-Rivet on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python3-Rivet
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2. Uninstall "python3-Rivet" package
Please follow the instructions below to uninstall python3-Rivet on openSuSE Tumbleweed:
$
sudo zypper remove
python3-Rivet
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3. Information about the python3-Rivet package on openSuSE Tumbleweed
Information for package python3-Rivet:
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-Rivet
Version : 3.1.10-1.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 774.1 KiB
Installed : No
Status : not installed
Source package : Rivet-3.1.10-1.1.src
Upstream URL : https://rivet.hepforge.org/
Summary : A toolkit for validation of Monte Carlo event generators
Description :
The Rivet project (Robust Independent Validation of Experiment and
Theory) is a toolkit for validation of Monte Carlo event generators.
It provides a large (and ever growing) set of experimental analyses
useful for MC generator development, validation, and tuning, as well
as a convenient infrastructure for adding your own analyses. Rivet is
the most widespread way by which analysis code from the LHC and other
high-energy collider experiments is preserved for comparison to and
development of future theory models.
This package provides the python bindings for Rivet.
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-Rivet
Version : 3.1.10-1.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 774.1 KiB
Installed : No
Status : not installed
Source package : Rivet-3.1.10-1.1.src
Upstream URL : https://rivet.hepforge.org/
Summary : A toolkit for validation of Monte Carlo event generators
Description :
The Rivet project (Robust Independent Validation of Experiment and
Theory) is a toolkit for validation of Monte Carlo event generators.
It provides a large (and ever growing) set of experimental analyses
useful for MC generator development, validation, and tuning, as well
as a convenient infrastructure for adding your own analyses. Rivet is
the most widespread way by which analysis code from the LHC and other
high-energy collider experiments is preserved for comparison to and
development of future theory models.
This package provides the python bindings for Rivet.