python-django-treebeard 4.2.1+dfsg-1 source package in Ubuntu

Changelog

python-django-treebeard (4.2.1+dfsg-1) unstable; urgency=low

  [ Ondřej Nový ]
  * d/control: Set Vcs-* to salsa.debian.org

  [ Michael Fladischer ]
  * New upstream release.
  * Refresh patches.

 -- Michael Fladischer <email address hidden>  Thu, 29 Mar 2018 10:44:29 +0200

Upload details

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

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Series Pocket Published Component Section
Bionic release universe python

Builds

Bionic: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
python-django-treebeard_4.2.1+dfsg-1.dsc 2.1 KiB 7a7d26939a9ae76b71101d658fe1f8d9d6d5f961f6da6ebb3533cfa2552d68d7
python-django-treebeard_4.2.1+dfsg.orig.tar.gz 281.6 KiB b68b2243c9292546641ec28b42545cbd773eb04a6dd2067dcbbd0219ebbfe426
python-django-treebeard_4.2.1+dfsg-1.debian.tar.xz 6.2 KiB 48bcbb90025f27ac9ce297a12a9018c1c8b6d230b0866b72f05c8d889c6629b9

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Binary packages built by this source

python-django-treebeard: No summary available for python-django-treebeard in ubuntu cosmic.

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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.