How to Install and Uninstall ghc-concurrent-output Package on openSUSE Leap
Last updated: November 27,2024
1. Install "ghc-concurrent-output" package
Please follow the guidance below to install ghc-concurrent-output on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
ghc-concurrent-output
Copied
2. Uninstall "ghc-concurrent-output" package
This guide let you learn how to uninstall ghc-concurrent-output on openSUSE Leap:
$
sudo zypper remove
ghc-concurrent-output
Copied
3. Information about the ghc-concurrent-output package on openSUSE Leap
Information for package ghc-concurrent-output:
----------------------------------------------
Repository : Main Repository
Name : ghc-concurrent-output
Version : 1.10.15-bp155.2.17
Arch : x86_64
Vendor : openSUSE
Installed Size : 376.2 KiB
Installed : No
Status : not installed
Source package : ghc-concurrent-output-1.10.15-bp155.2.17.src
Upstream URL : https://hackage.haskell.org/package/concurrent-output
Summary : Ungarble output from several threads or commands
Description :
Lets multiple threads and external processes concurrently output to the
console, without it getting all garbled up.
Built on top of that is a way of defining multiple output regions, which are
automatically laid out on the screen and can be individually updated by
concurrent threads. Can be used for progress displays etc.
<>.
----------------------------------------------
Repository : Main Repository
Name : ghc-concurrent-output
Version : 1.10.15-bp155.2.17
Arch : x86_64
Vendor : openSUSE
Installed Size : 376.2 KiB
Installed : No
Status : not installed
Source package : ghc-concurrent-output-1.10.15-bp155.2.17.src
Upstream URL : https://hackage.haskell.org/package/concurrent-output
Summary : Ungarble output from several threads or commands
Description :
Lets multiple threads and external processes concurrently output to the
console, without it getting all garbled up.
Built on top of that is a way of defining multiple output regions, which are
automatically laid out on the screen and can be individually updated by
concurrent threads. Can be used for progress displays etc.
<