Ubuntu
python-django-treebeard package

python-django-treebeard 4.7.1-1 source package in Ubuntu

Changelog

python-django-treebeard (4.7.1-1) unstable; urgency=low

  * New upstream version 4.7.1
  * Refresh patches.
  * Use dh-sequence-python3.
  * Update year in d/copyright.

 -- Michael Fladischer <email address hidden>  Fri, 23 Feb 2024 15:03:48 +0000

Upload details

Uploaded by:
Debian Python Team
Uploaded to:
Sid
Original maintainer:
Debian Python Team
Architectures:
all
Section:
python
Urgency:
Low Urgency

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Oracular release universe python
Noble release universe python

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-django-treebeard_4.7.1-1.dsc 2.1 KiB 276188f01ee650f237ca5b766b55500f888f0c3606203f51a06873b03f18ae74
python-django-treebeard_4.7.1.orig.tar.gz 287.2 KiB 846e462904b437155f76e04907ba4e48480716855f88b898df4122bdcfbd6e98
python-django-treebeard_4.7.1-1.debian.tar.xz 6.7 KiB 74b9ec3d9169cc5cbd5bacd4b713b9f0fa2a893f3c2903216545fa0bcd4a7137

Available diffs

No changes file available.

Binary packages built by this source

python-django-treebeard-doc: Efficient implementations of tree data structures for Django (documentation)

 Django Treebeard is a library that implements efficient data structures for
 storing hierarchical data in a database using the Django web development
 framework.
 .
 It currently includes 3 different tree implementations: adjacency list,
 materialized path and nested sets. Each one has it's own strengths and
 weaknesses but share the same API, so it’s easy to switch between them.
 .
 This package contains the documentation in searchable HTML format.

python3-django-treebeard: Efficient implementations of tree data structures for Django (Python3 version)

 Django Treebeard is a library that implements efficient data structures for
 storing hierarchical data in a database using the Django web development
 framework.
 .
 It currently includes 3 different tree implementations: adjacency list,
 materialized path and nested sets. Each one has it's own strengths and
 weaknesses but share the same API, so it’s easy to switch between them.
 .
 This package contains the Python 3 version of the library.