How to Install and Uninstall python-django-dynamic-fixture-doc Package on Kali Linux
Last updated: November 26,2024
1. Install "python-django-dynamic-fixture-doc" package
Please follow the steps below to install python-django-dynamic-fixture-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
python-django-dynamic-fixture-doc
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2. Uninstall "python-django-dynamic-fixture-doc" package
This tutorial shows how to uninstall python-django-dynamic-fixture-doc on Kali Linux:
$
sudo apt remove
python-django-dynamic-fixture-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-django-dynamic-fixture-doc package on Kali Linux
Package: python-django-dynamic-fixture-doc
Source: python-django-dynamic-fixture
Version: 4.0.1-1
Installed-Size: 411
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-sphinxdoc (>= 5.2), sphinx-rtd-theme-common (>= 1.3.0+dfsg)
Size: 45420
SHA256: 85975e55eee793ac73b3f9086327e126328a46ee554fd6cf1f74275fbdf101b6
SHA1: 168868e809008ed488a33200f05e485d599b96ce
MD5sum: 0121d9e962c56be980a20b790f530f2e
Description: create dynamic model instances for testing purposes (Documentation)
Django Dynamic Fixture (DDF) is a complete and simple library to create dynamic
model instances for testing purposes.
.
It lets you focus on your tests, instead of focusing on generating some dummy
data which is boring and pollutes the test source code.
.
It exists to solve the anti-pattern of Static Fixtures and Factory objects.
.
Features:
* Highly customizable: you can customize fields recursively
* Deals with unique=True
* Deals with cyclic dependencies (including self references)
* Deals with many to many relationship (common M2M or M2M with additional
data, i.e. through=’table’)
* Deals with custom fields (especially if the custom field inherits from a
django field)
* Support for parallel tests
* Deals with auto calculated attributes
* It is easy to debug errors
.
This package contains the documentation.
Description-md5:
Homepage: https://github.com/paulocheque/django-dynamic-fixture
Section: doc
Priority: optional
Filename: pool/main/p/python-django-dynamic-fixture/python-django-dynamic-fixture-doc_4.0.1-1_all.deb
Source: python-django-dynamic-fixture
Version: 4.0.1-1
Installed-Size: 411
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-sphinxdoc (>= 5.2), sphinx-rtd-theme-common (>= 1.3.0+dfsg)
Size: 45420
SHA256: 85975e55eee793ac73b3f9086327e126328a46ee554fd6cf1f74275fbdf101b6
SHA1: 168868e809008ed488a33200f05e485d599b96ce
MD5sum: 0121d9e962c56be980a20b790f530f2e
Description: create dynamic model instances for testing purposes (Documentation)
Django Dynamic Fixture (DDF) is a complete and simple library to create dynamic
model instances for testing purposes.
.
It lets you focus on your tests, instead of focusing on generating some dummy
data which is boring and pollutes the test source code.
.
It exists to solve the anti-pattern of Static Fixtures and Factory objects.
.
Features:
* Highly customizable: you can customize fields recursively
* Deals with unique=True
* Deals with cyclic dependencies (including self references)
* Deals with many to many relationship (common M2M or M2M with additional
data, i.e. through=’table’)
* Deals with custom fields (especially if the custom field inherits from a
django field)
* Support for parallel tests
* Deals with auto calculated attributes
* It is easy to debug errors
.
This package contains the documentation.
Description-md5:
Homepage: https://github.com/paulocheque/django-dynamic-fixture
Section: doc
Priority: optional
Filename: pool/main/p/python-django-dynamic-fixture/python-django-dynamic-fixture-doc_4.0.1-1_all.deb