Source: django-memoize Maintainer: Debian Python Modules Team Uploaders: Christopher Hoskin Section: python Priority: optional Build-Depends: dh-python, python-setuptools, python3-setuptools, python-all, python3-all, debhelper (>= 9), python-django, python-django-setuptest, python-pep8, python3-django, python3-django-setuptest, python-sphinx | python3-sphinx Standards-Version: 3.9.8 Vcs-Browser: https://anonscm.debian.org/cgit/python-modules/packages/django-memoize.git Vcs-Git: https://anonscm.debian.org/git/python-modules/packages/django-memoize.git Homepage: https://pythonhosted.org/django-memoize/ Package: python-django-memoize Architecture: all Depends: ${misc:Depends}, ${python:Depends} Description: implementation of memoization technique for Django (Python 2) 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. . This is the Python 2 version of the package. Package: python3-django-memoize Architecture: all Depends: ${misc:Depends}, ${python3:Depends} Description: 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. . This is the Python 3 version of the package. Package: python-django-memoize-doc Architecture: all Section: doc Depends: ${sphinxdoc:Depends}, ${misc:Depends} Description: implementation of memoization technique for Django (common documentation) 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. . This is the common documentation package.