django-memoize 2.2.0+dfsg-3 source package in Ubuntu
Changelog
django-memoize (2.2.0+dfsg-3) unstable; urgency=medium
[ Debian Janitor ]
* Bump debhelper from old 12 to 13.
+ Drop check for DEB_BUILD_OPTIONS containing "nocheck", since debhelper now
does this.
* Remove obsolete field Name from debian/upstream/metadata (already present in
machine-readable debian/copyright).
* Update standards version to 4.6.0, no changes needed.
-- Jelmer Vernooij <email address hidden> Thu, 26 May 2022 19:38:06 +0100
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc | |
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| django-memoize_2.2.0+dfsg-3.dsc | 2.2 KiB | 4c4259136db4fdc5f129b28f49c48b84c2c02d9fd342015bc1f9b389e8b9d48b |
| django-memoize_2.2.0+dfsg.orig.tar.xz | 18.0 KiB | 8f6a5d9fb481c67abc4ef37e4cb0417227b5d86667d7b2190fea4fc77ae51ce6 |
| django-memoize_2.2.0+dfsg-3.debian.tar.xz | 4.5 KiB | 8dff1aa958f383250669b5527f9f4986e8de7db07faf2163ec8e96d4adc0bf58 |
Available diffs
- diff from 2.2.0+dfsg-2 to 2.2.0+dfsg-3 (1.0 KiB)
No changes file available.
Binary packages built by this source
- python-django-memoize-doc: No summary available for python-django-memoize-doc in ubuntu kinetic.
No description available for python-
django- memoize- doc in ubuntu kinetic.
- python3-django-memoize: implementation of memoization technique for Django (Python 3)
django-memoize is an implementation of the memoization technique for Django.
You can think of it as a cache for function or method results.
.
In memoization, the functions arguments are also included into the cache_key.
Memoize is also designed for methods, since it will take into account the repr
of the ‘self’ or ‘cls’ argument as part of the cache key. The theory behind
memoization is that if you have a function you need to call several times in
one request, it would only be calculated the first time that function is
called with those arguments.
