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Source: python-django-dynamic-fixture
Section: python
Priority: optional
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
Michael Fladischer <fladi@debian.org>,
Build-Depends:
debhelper-compat (= 13),
dh-python,
pybuild-plugin-pyproject,
python3-all,
python3-django,
python3-django-polymorphic,
python3-gdal,
python3-psycopg2,
python3-pytest,
python3-pytest-django,
python3-setuptools,
python3-sphinx,
python3-sphinx-rtd-theme,
Standards-Version: 4.6.2
Homepage: https://github.com/paulocheque/django-dynamic-fixture
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-django-dynamic-fixture
Vcs-Git: https://salsa.debian.org/python-team/packages/python-django-dynamic-fixture.git
Rules-Requires-Root: no
Package: python-django-dynamic-fixture-doc
Section: doc
Architecture: all
Depends:
${misc:Depends},
${sphinxdoc:Depends},
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.
Package: python3-django-dynamic-fixture
Architecture: all
Depends:
python3-django,
${misc:Depends},
${python3:Depends},
Suggests:
python-django-dynamic-fixture-doc,
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.
|
