How to Install and Uninstall python3-fudge Package on openSUSE Leap
Last updated: November 07,2024
1. Install "python3-fudge" package
This is a short guide on how to install python3-fudge on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-fudge
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2. Uninstall "python3-fudge" package
This tutorial shows how to uninstall python3-fudge on openSUSE Leap:
$
sudo zypper remove
python3-fudge
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3. Information about the python3-fudge package on openSUSE Leap
Information for package python3-fudge:
--------------------------------------
Repository : Main Repository
Name : python3-fudge
Version : 1.1.1-bp155.2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 459.8 KiB
Installed : No
Status : not installed
Source package : python-fudge-1.1.1-bp155.2.11.src
Upstream URL : http://farmdev.com/projects/fudge/
Summary : Module for replacing real objects with fakes (mocks, stubs, etc) while testing
Description :
Complete documentation is available at http://farmdev.com/projects/fudge/
Fudge is a Python module for using fake objects (mocks and stubs) to test real ones.
In readable Python code, you declare what methods are available on your fake and
how they should be called. Then you inject that into your application and start
testing. This declarative approach means you don't have to record and playback
actions and you don't have to inspect your fakes after running code. If the fake
object was used incorrectly then you'll see an informative exception message
with a traceback that points to the culprit.
--------------------------------------
Repository : Main Repository
Name : python3-fudge
Version : 1.1.1-bp155.2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 459.8 KiB
Installed : No
Status : not installed
Source package : python-fudge-1.1.1-bp155.2.11.src
Upstream URL : http://farmdev.com/projects/fudge/
Summary : Module for replacing real objects with fakes (mocks, stubs, etc) while testing
Description :
Complete documentation is available at http://farmdev.com/projects/fudge/
Fudge is a Python module for using fake objects (mocks and stubs) to test real ones.
In readable Python code, you declare what methods are available on your fake and
how they should be called. Then you inject that into your application and start
testing. This declarative approach means you don't have to record and playback
actions and you don't have to inspect your fakes after running code. If the fake
object was used incorrectly then you'll see an informative exception message
with a traceback that points to the culprit.