How to Install and Uninstall python3-fudge Package on Kali Linux

Last updated: December 24,2024

1. Install "python3-fudge" package

Please follow the instructions below to install python3-fudge on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-fudge
            
                    
    
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2. Uninstall "python3-fudge" package

This guide covers the steps necessary to uninstall python3-fudge on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-fudge
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-fudge package on Kali Linux

Package: python3-fudge
Source: python-fudge
Version: 1.1.1-2
Installed-Size: 174
Maintainer: Debian Python Team
Architecture: all
Depends: python3-pkg-resources, python3:any
Recommends: python-fudge-doc (= 1.1.1-2)
Size: 30204
SHA256: 854c1deabbbb0db769becdcf54452b373de5a4a31119753cb7ac0e7cd5a4bb0b
SHA1: b50f30bb72a0e3ba31da09d83b9d172f95ce7f5e
MD5sum: 8cba7e0f8c2743f449e5273e37f9143b
Description: 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.
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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.
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This is the Python 3 version of the package.
Description-md5:
Homepage: https://fudge.readthedocs.org
Section: python
Priority: optional
Filename: pool/main/p/python-fudge/python3-fudge_1.1.1-2_all.deb