How to Install and Uninstall python-presagemate Package on openSUSE Leap
Last updated: February 04,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "python-presagemate" package
This guide let you learn how to install python-presagemate on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python-presagemate
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2. Uninstall "python-presagemate" package
Learn how to uninstall python-presagemate on openSUSE Leap:
$
sudo zypper remove
python-presagemate
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3. Information about the python-presagemate package on openSUSE Leap
Information for package python-presagemate:
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Repository : Main Repository
Name : python-presagemate
Version : 0.9.1-bp153.1.21
Arch : noarch
Vendor : openSUSE
Installed Size : 31,3 KiB
Installed : No
Status : not installed
Source package : presage-0.9.1-bp153.1.21.src
Summary : Universial predictive text companion
Description :
Pypresagemate is a universal predictive text companion. Pypresagemate works alongside any AT-SPI aware application. The Assistive Technology Service Provider Interface (AT-SPI) is a toolkit-neutral way of providing accessibility facilities in applications. Pypresagemate works in the background by tracking what keystrokes are typed and displaying predictions in its window. When a prediction is selected, text is sent to the active application.
-------------------------------------------
Repository : Main Repository
Name : python-presagemate
Version : 0.9.1-bp153.1.21
Arch : noarch
Vendor : openSUSE
Installed Size : 31,3 KiB
Installed : No
Status : not installed
Source package : presage-0.9.1-bp153.1.21.src
Summary : Universial predictive text companion
Description :
Pypresagemate is a universal predictive text companion. Pypresagemate works alongside any AT-SPI aware application. The Assistive Technology Service Provider Interface (AT-SPI) is a toolkit-neutral way of providing accessibility facilities in applications. Pypresagemate works in the background by tracking what keystrokes are typed and displaying predictions in its window. When a prediction is selected, text is sent to the active application.