How to Install and Uninstall python3-django-dynamic-fixture Package on Kali Linux
Last updated: November 25,2024
1. Install "python3-django-dynamic-fixture" package
Please follow the steps below to install python3-django-dynamic-fixture on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-django-dynamic-fixture
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2. Uninstall "python3-django-dynamic-fixture" package
Please follow the guidance below to uninstall python3-django-dynamic-fixture on Kali Linux:
$
sudo apt remove
python3-django-dynamic-fixture
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-django-dynamic-fixture package on Kali Linux
Package: python3-django-dynamic-fixture
Source: python-django-dynamic-fixture
Version: 4.0.1-1
Installed-Size: 258
Maintainer: Debian Python Team
Architecture: all
Depends: python3-django, python3:any
Suggests: python-django-dynamic-fixture-doc
Size: 37952
SHA256: ea355d8874c713a07a98033cd8c686c5a4b37ffd00ff072c8fe824eeabfef841
SHA1: ac745d8528b900b5a79273e68dd55d6e1944a871
MD5sum: 4d02b9dea83a0971b31c225e9abc9464
Description: create dynamic model instances for testing purposes (Python3 version)
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 Python 3 version of the library.
Description-md5:
Homepage: https://github.com/paulocheque/django-dynamic-fixture
Section: python
Priority: optional
Filename: pool/main/p/python-django-dynamic-fixture/python3-django-dynamic-fixture_4.0.1-1_all.deb
Source: python-django-dynamic-fixture
Version: 4.0.1-1
Installed-Size: 258
Maintainer: Debian Python Team
Architecture: all
Depends: python3-django, python3:any
Suggests: python-django-dynamic-fixture-doc
Size: 37952
SHA256: ea355d8874c713a07a98033cd8c686c5a4b37ffd00ff072c8fe824eeabfef841
SHA1: ac745d8528b900b5a79273e68dd55d6e1944a871
MD5sum: 4d02b9dea83a0971b31c225e9abc9464
Description: create dynamic model instances for testing purposes (Python3 version)
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 Python 3 version of the library.
Description-md5:
Homepage: https://github.com/paulocheque/django-dynamic-fixture
Section: python
Priority: optional
Filename: pool/main/p/python-django-dynamic-fixture/python3-django-dynamic-fixture_4.0.1-1_all.deb