How to Install and Uninstall python-fudge-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 22,2024
1. Install "python-fudge-doc" package
This guide covers the steps necessary to install python-fudge-doc on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
Copied
$
sudo apt install
python-fudge-doc
Copied
2. Uninstall "python-fudge-doc" package
Please follow the guidelines below to uninstall python-fudge-doc on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-fudge-doc
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python-fudge-doc package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-fudge-doc
Priority: optional
Section: universe/doc
Installed-Size: 348
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: python-fudge
Version: 1.1.0-1
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-fudge/python-fudge-doc_1.1.0-1_all.deb
Size: 45828
MD5sum: 45b1585c4297bc45904d47191014e4c7
SHA1: 97b1dbc8b151d99bdd8c91031f1343e054890ca9
SHA256: 00b92cc4a413cf8501d5a4bcca15c48ec59361f67ef2046507194b51853b4c06
Description-en: Python module for using fake objects for tests, documentation package
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 documentation of python-fudge.
Description-md5: 1080b9f780e7fc6353821715d25b830a
Homepage: http://farmdev.com/projects/fudge/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/doc
Installed-Size: 348
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: python-fudge
Version: 1.1.0-1
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-fudge/python-fudge-doc_1.1.0-1_all.deb
Size: 45828
MD5sum: 45b1585c4297bc45904d47191014e4c7
SHA1: 97b1dbc8b151d99bdd8c91031f1343e054890ca9
SHA256: 00b92cc4a413cf8501d5a4bcca15c48ec59361f67ef2046507194b51853b4c06
Description-en: Python module for using fake objects for tests, documentation package
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 documentation of python-fudge.
Description-md5: 1080b9f780e7fc6353821715d25b830a
Homepage: http://farmdev.com/projects/fudge/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu