How to Install and Uninstall python3-fudge Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "python3-fudge" package

This guide covers the steps necessary to install python3-fudge on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-fudge
            
                    
    
    Copied

2. Uninstall "python3-fudge" package

This guide covers the steps necessary to uninstall python3-fudge on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-fudge
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-fudge package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python3-fudge
Priority: optional
Section: universe/python
Installed-Size: 172
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: python-fudge
Version: 1.1.0-1
Depends: python3-pkg-resources, python3:any (>= 3.4~)
Recommends: python-fudge-doc (= 1.1.0-1)
Filename: pool/universe/p/python-fudge/python3-fudge_1.1.0-1_all.deb
Size: 28912
MD5sum: 3fff6cf7b65fe68122484e03da9c8021
SHA1: 35f6c1a422c27a9d1ac3051161437f81ef0dc512
SHA256: b9691dce34e9e7ffd2f05c0f7ba05ac90e8e39367045c10f3836d99b2d805ca2
Description-en: Python 3 module for using fake objects for tests
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.
.
Fudge was inspired by Mocha which is a simpler version of jMock. But
unlike Mocha, Fudge does not automatically hijack real objects; you
explicitly patch them in your test. And unlike jMock, Fudge is only
as strict about expectations as you want it to be. If the type of
arguments sent to the fake method aren’t important then you don’t
have to declare an expectation for them.
.
This is the Python 3 version of the package.
Description-md5: 9a12d4ecc175dbe6541b5ac6decf16dd
Homepage: http://farmdev.com/projects/fudge/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu