How to Install and Uninstall python39-psychtoolbox Package on openSuSE Tumbleweed
Last updated: December 30,2024
1. Install "python39-psychtoolbox" package
Please follow the step by step instructions below to install python39-psychtoolbox on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-psychtoolbox
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2. Uninstall "python39-psychtoolbox" package
This guide let you learn how to uninstall python39-psychtoolbox on openSuSE Tumbleweed:
$
sudo zypper remove
python39-psychtoolbox
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3. Information about the python39-psychtoolbox package on openSuSE Tumbleweed
Information for package python39-psychtoolbox:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-psychtoolbox
Version : 3.0.16-2.16
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.1 MiB
Installed : No
Status : not installed
Source package : python-psychtoolbox-3.0.16-2.16.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 : openSUSE-Tumbleweed-Oss
Name : python39-psychtoolbox
Version : 3.0.16-2.16
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.1 MiB
Installed : No
Status : not installed
Source package : python-psychtoolbox-3.0.16-2.16.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.