Welcome, guest | Sign In | My Account | Store | Cart

Notice! PyPM is being replaced with the ActiveState Platform, which enhances PyPM’s build and deploy capabilities. Create your free Platform account to download ActivePython or customize Python with the packages you require and get automatic updates.

Download
ActivePython
INSTALL>
pypm install persistent

How to install persistent

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install persistent
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
Windows (64-bit)
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
Mac OS X (10.5+)
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
Linux (32-bit)
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
Linux (64-bit)
4.0.6 Available View build log
4.0.0 Available View build log
4.0.0
4.0.6Never BuiltWhy not?
4.0.0 Available View build log
4.0.6 Available View build log
 
License
ZPL 2.1
Dependencies
Lastest release
version 4.0.6 on Sep 20th, 2013

persistent: automatic persistence for Python objects

This package contains a generic persistence implementation for Python. It forms the core protocol for making objects interact "transparently" with a database such as the ZODB.

Please see the Sphinx documentation (docs/index.rst) for further information.

persistent Changelog

4.0.6 (2013-01-03)
  • Updated Trove classifiers.
4.0.5 (2012-12-14)
  • Fixed the C-extensions under Py3k (previously they compiled but were not importable).
4.0.4 (2012-12-11)
  • Added support for Python 3.3.
  • C extenstions now build under Python 3.2, passing the same tests as the pure-Python reference implementation.
4.0.3 (2012-11-19)
  • Fixed: In the C implimentation, an integer was compared with a pointer, with undefined results and a compiler warning.
  • Fixed: the Python implementation of the _p_estimated_size propety didn't support deletion.
  • Simplified implementation of the _p_estimated_size property to only accept integers. A TypeError is raised if an incorrect type is provided.
4.0.2 (2012-08-27)
  • Correct initialization functions in renamed _timestamp extension.
4.0.1 (2012-08-26)
  • Worked around test failure due to overflow to long on 32-bit systems.

  • Renamed TimeStamp extension module to avoid clash with pure-Python timestamp module on case-insensitive filesystems.

    N.B: the canonical way to import the TimeStamp class is now:

    from persistent.timestamp import TimeStamp
    

    which will yield the class from the extension module (if available), falling back to the pure-Python reference implementation.

4.0.0 (2012-08-11)
Platform Changes
  • Added explicit support for Python 3.2 and PyPy.
    • Note that the C implementations of Persistent, PickleCache, and Timestamp are not built (yet) on these platforms.
  • Dropped support for Python < 2.6.
Testing Changes
  • 100% unit test coverage.
  • Removed all ZODB-dependent tests:
    • Rewrote some to avoid the dependency
    • Cloned the remainder into new ZODB.tests modules.
  • Refactored some doctests refactored as unittests.
  • Completed pure-Python reference implementations of 'Persistent', 'PickleCache', and 'TimeStamp'.
  • All covered platforms tested under tox.
  • Added support for continuous integration using tox and jenkins.
  • Added setup.py dev alias (installs nose and coverage).
  • Dropped dependency on zope.testing / zope.testrunner: tests now run with setup.py test.
Documentation Changes
  • Refactored many Doctests as Sphinx documentation (snippets are exercised via 'tox').
  • Added setup.py docs alias (installs Sphinx and repoze.sphinx.autointerface).

Subscribe to package updates

Last updated Sep 20th, 2013

Download Stats

Last month:2

What does the lock icon mean?

Builds marked with a lock icon are only available via PyPM to users with a current ActivePython Business Edition subscription.

Need custom builds or support?

ActivePython Enterprise Edition guarantees priority access to technical support, indemnification, expert consulting and quality-assured language builds.

Plan on re-distributing ActivePython?

Get re-distribution rights and eliminate legal risks with ActivePython OEM Edition.