How to Install and Uninstall python-ddt-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: January 11,2025
1. Install "python-ddt-doc" package
This guide covers the steps necessary to install python-ddt-doc on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-ddt-doc
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2. Uninstall "python-ddt-doc" package
Please follow the guidance below to uninstall python-ddt-doc on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-ddt-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-ddt-doc package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-ddt-doc
Priority: optional
Section: universe/doc
Installed-Size: 123
Maintainer: Ubuntu Developers
Original-Maintainer: PKG OpenStack
Architecture: all
Source: python-ddt
Version: 1.0.1-1
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-ddt/python-ddt-doc_1.0.1-1_all.deb
Size: 22156
MD5sum: 639b63ee787b24233e27c8fc4c07470b
SHA1: 138fb006ba2ece23aec2c7a3d66dcbcc928992d4
SHA256: a1aa151dfd0762bd69a9f2d292943e2134b09e0503cb5e85c7b50c878a1b9078
Description-en: Data-Driven/Decorated Tests - doc
DDT (Data-Driven Tests) allows you to multiply one test case by running it
with different test data, and make it appear as multiple test cases. DDT
consists of a class decorator ddt (for your TestCase subclass) and two
method decorators (for your tests that want to be multiplied).
.
This package contains the documentation.
Description-md5: 447a493c858e7c85c210547c05aaa4d1
Homepage: https://pypi.python.org/pypi/ddt
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/doc
Installed-Size: 123
Maintainer: Ubuntu Developers
Original-Maintainer: PKG OpenStack
Architecture: all
Source: python-ddt
Version: 1.0.1-1
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/p/python-ddt/python-ddt-doc_1.0.1-1_all.deb
Size: 22156
MD5sum: 639b63ee787b24233e27c8fc4c07470b
SHA1: 138fb006ba2ece23aec2c7a3d66dcbcc928992d4
SHA256: a1aa151dfd0762bd69a9f2d292943e2134b09e0503cb5e85c7b50c878a1b9078
Description-en: Data-Driven/Decorated Tests - doc
DDT (Data-Driven Tests) allows you to multiply one test case by running it
with different test data, and make it appear as multiple test cases. DDT
consists of a class decorator ddt (for your TestCase subclass) and two
method decorators (for your tests that want to be multiplied).
.
This package contains the documentation.
Description-md5: 447a493c858e7c85c210547c05aaa4d1
Homepage: https://pypi.python.org/pypi/ddt
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu