How to Install and Uninstall python3-psychtoolbox Package on openSUSE Leap
Last updated: November 23,2024
1. Install "python3-psychtoolbox" package
Here is a brief guide to show you how to install python3-psychtoolbox on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-psychtoolbox
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2. Uninstall "python3-psychtoolbox" package
This guide let you learn how to uninstall python3-psychtoolbox on openSUSE Leap:
$
sudo zypper remove
python3-psychtoolbox
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3. Information about the python3-psychtoolbox package on openSUSE Leap
Information for package python3-psychtoolbox:
---------------------------------------------
Repository : Main Repository
Name : python3-psychtoolbox
Version : 3.0.16-bp155.2.59
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : python-psychtoolbox-3.0.16-bp155.2.59.src
Upstream URL : http://psychtoolbox.org
Summary : Pieces of Psychtoolbox-3 ported to CPython
Description :
Psychtoolbox is a toolbox for psychophysics experiments.
The PTB core routines provide access to the display frame buffer and color
lookup table, reliably synchronize with the vertical screen retrace, support
sub-millisecond timing, expose raw OpenGL commands, support video playback
and capture as well as low-latency audio, and facilitate the collection of
observer responses. Ancillary routines support common needs like color
space transformations and the QUEST threshold seeking algorithm.
This module contains pieces of Psychtoolbox ported to CPython.
---------------------------------------------
Repository : Main Repository
Name : python3-psychtoolbox
Version : 3.0.16-bp155.2.59
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : python-psychtoolbox-3.0.16-bp155.2.59.src
Upstream URL : http://psychtoolbox.org
Summary : Pieces of Psychtoolbox-3 ported to CPython
Description :
Psychtoolbox is a toolbox for psychophysics experiments.
The PTB core routines provide access to the display frame buffer and color
lookup table, reliably synchronize with the vertical screen retrace, support
sub-millisecond timing, expose raw OpenGL commands, support video playback
and capture as well as low-latency audio, and facilitate the collection of
observer responses. Ancillary routines support common needs like color
space transformations and the QUEST threshold seeking algorithm.
This module contains pieces of Psychtoolbox ported to CPython.