persistent Changelog

4.9.1 (2022-09-16)

  • Update Python 3.11 support to 3.11.0-rc1.
  • Disable unsafe math optimizations in C code. See pull request 176.

4.9.0 (2022-03-10)

  • Add support for Python 3.11 (as of 3.11a5).

4.8.0 (2022-03-07)

  • Switch package to src-layout, this is a packaging only change. (#168)
  • Add support for Python 3.10.

4.7.0 (2021-04-13)

  • Add support for Python 3.9.
  • Move from Travis CI to Github Actions.
  • Supply manylinux wheels for aarch64 (ARM).
  • Fix the pure-Python implementation to activate a ghost object when setting its __class__ and __dict__. This matches the behaviour of the C implementation. See issue 155.
  • Fix the CFFI cache implementation (used on CPython when PURE_PYTHON=1) to not print unraisable AttributeErrors from _WeakValueDictionary during garbage collection. See issue 150.
  • Make the pure-Python implementation of the cache run a garbage collection (gc.collect()) on full_sweep, incrgc and minimize if it detects that an object that was weakly referenced has been ejected. This solves issues on PyPy with ZODB raising ConnectionStateError when there are persistent zope.interface utilities/adapters registered. This partly reverts a change from release 4.2.3.

4.6.4 (2020-03-26)

  • Fix an overly specific test failure using zope.interface 5. See issue 144.
  • Fix two reference leaks that could theoretically occur as the result of obscure errors. See issue 143.

4.6.3 (2020-03-18)

  • Fix a crash in the test suite under a 32-bit CPython on certain 32-bit platforms. See issue 137. Fix by Jerry James.

4.6.2 (2020-03-12)

  • Fix an AssertionError clearing a non-empty PersistentMapping that has no connection. See issue 139.

4.6.1 (2020-03-06)

  • Stop installing C header files on PyPy (which is what persistent before 4.6.0 used to do), fixes issue 135.

4.6.0 (2020-03-05)

  • Fix slicing of PersistentList to always return instances of the same class. It was broken on Python 3 prior to 3.7.4.

  • Fix copying of PersistentList and PersistentMapping using copy.copy to also copy the underlying data object. This was broken prior to Python 3.7.4.

  • Update the handling of the PURE_PYTHON environment variable. Now, a value of “0” requires that the C extensions be used; any other non-empty value prevents the extensions from being used. Also, all C extensions are required together or none of them will be used. This prevents strange errors that arise from a mismatch of Python and C implementations. See issue 131.

    Note that some private implementation details such as the names of the pure-Python implementations have changed.

  • Fix PersistentList to mark itself as changed after calling clear (if needed). See PR 115.

  • Fix PersistentMapping.update to accept keyword arguments like the native UserDict. Previously, most uses of keyword arguments resulted in TypeError; in the undocumented and extremely unlikely event of a single keyword argument called b that happens to be a dictionary, the behaviour will change. Also adjust the signatures of setdefault and pop to match the native version.

  • Fix PersistentList.clear, PersistentMapping.clear and PersistentMapping.popitem to no longer mark the object as changed if it was empty.

  • Add preliminary support for Python 3.9a3+. See issue 124.

  • Fix the Python implementation of the PickleCache to be able to store objects that cannot be weakly referenced. See issue 133.

    Note that ctypes is required to use the Python implementation (except on PyPy).

4.5.1 (2019-11-06)

  • Add support for Python 3.8.
  • Update documentation to Python 3.

4.5.0 (2019-05-09)

  • Fully test the C implementation of the PickleCache, and fix discrepancies between it and the Python implementation:

    • The C implementation now raises ValueError instead of AssertionError for certain types of bad inputs.
    • The Python implementation uses the C wording for error messages.
    • The C implementation properly implements IPickleCache; methods unique to the Python implementation were moved to IExtendedPickleCache.
    • The Python implementation raises AttributeError if a persistent class doesn’t have a p_jar attribute.

    See issue 102.

  • Allow sweeping cache without cache_size. cache_size_bytes works with cache_size=0, no need to set cache_size to a large value.

  • Require CFFI on CPython for pure-Python operation. This drops support for Jython (which was untested). See issue 77.

  • Fix DeprecationWarning about PY_SSIZE_T_CLEAN. See issue 108.

  • Drop support for Python 3.4.

4.4.3 (2018-10-22)

  • Fix the repr of the persistent objects to include the module name when using the C extension. This matches the pure-Python behaviour and the behaviour prior to 4.4.0. See issue 92.
  • Change the repr of persistent objects to format the OID as in integer in hexadecimal notation if it is an 8-byte byte string, as ZODB does. This eliminates some issues in doctests. See issue 95.

4.4.2 (2018-08-28)

  • Explicitly use unsigned constants for packing and unpacking C timestamps, fixing an arithmetic issue for GCC when optimizations are enabled and -fwrapv is not enabled. See issue 86.

4.4.1 (2018-08-23)

  • Fix installation of source packages on PyPy. See issue 88.

4.4.0 (2018-08-22)

  • Use unsigned constants when doing arithmetic on C timestamps, possibly avoiding some overflow issues with some compilers or compiler settings. See issue 86.
  • Change the default representation of Persistent objects to include the representation of their OID and jar, if set. Also add the ability for subclasses to implement _p_repr() instead of overriding __repr__ for better exception handling. See issue 11.
  • Reach and maintain 100% test coverage.
  • Simplify, including removal of an attempted legacy import of persistent.TimeStamp. See PR 80.
  • Add support for Python 3.7 and drop support for Python 3.3.
  • Build the CFFI modules (used on PyPy or when PURE_PYTHON is set) at installation or wheel building time when CFFI is available. This replaces the deprecated way of building them at import time. If binary wheels are distributed, it eliminates the need to have a functioning C compiler to use PyPy. See issue 75.
  • Fix deleting the _p_oid of a pure-Python persistent object when it is in a cache.
  • Fix deleting special (_p) attributes of a pure-Python persistent object that overrides __delattr__ and correctly calls _p_delattr.
  • Remove some internal compatibility shims that are no longer necessary. See PR 82.
  • Make the return value of TimeStamp.second() consistent across C and Python implementations when the TimeStamp was created from 6 arguments with floating point seconds. Also make it match across trips through TimeStamp.raw(). Previously, the C version could initially have erroneous rounding and too much false precision, while the Python version could have too much precision. The raw/repr values have not changed. See issue 41.

4.3.0 (2018-07-30)

  • Fix the possibility of a rare crash in the C extension when deallocating items. See
  • Change cPickleCache’s comparison of object sizes to determine whether an object can go in the cache to use PyObject_TypeCheck(). This matches what the pure Python implementation does and is a stronger test that the object really is compatible with the cache. Previously, an object could potentially include cPersistent_HEAD and not set tp_base to cPersistenceCAPI->pertype and still be eligible for the pickle cache; that is no longer the case. See issue 69. (2017-04-23)

  • Packaging-only release: fix Python 2.7 manylinux wheels. (2017-04-21)

  • Packaging-only release: get manylinux wheel built automatically.

4.2.4 (2017-03-20)

  • Avoid raising a SystemError: error return without exception set when loading an object with slots whose jar generates an exception (such as a ZODB POSKeyError) in setstate.

4.2.3 (2017-03-08)

  • Fix the hashcode of Python TimeStamp objects on 64-bit Python on Windows. See
  • Stop calling gc.collect every time PickleCache.incrgc is called (every transaction boundary) in pure-Python mode (PyPy). This means that the reported size of the cache may be wrong (until the next GC), but it is much faster. This should not have any observable effects for user code.
  • Stop clearing the dict and slots of objects added to PickleCache.new_ghost (typically these values are passed to __new__ from the pickle data) in pure-Python mode (PyPy). This matches the behaviour of the C code.
  • Add support for Python 3.6.
  • Fix __setstate__ interning when state parameter is not a built-in dict

4.2.2 (2016-11-29)

4.2.1 (2016-05-26)

  • Fix the hashcode of C TimeStamp objects on 64-bit Python 3 on Windows.

4.2.0 (2016-05-05)

  • Fixed the Python(/PYPY) implementation TimeStamp.timeTime method to have subsecond precision.
  • When testing PURE_PYTHON environments under tox, avoid poisoning the user’s global wheel cache.
  • Add support for Python 3.5.
  • Drop support for Python 2.6 and 3.2.

4.1.1 (2015-06-02)

  • Fix manifest and re-upload to fix stray files included in 4.1.0.

4.1.0 (2015-05-19)

  • Make the Python implementation of Persistent and PickleCache behave more similarly to the C implementation. In particular, the Python version can now run the complete ZODB and ZEO test suites.
  • Fix the hashcode of the Python TimeStamp on 32-bit platforms.

4.0.9 (2015-04-08)

  • Make the C and Python TimeStamp objects behave more alike. The Python version now produces the same repr and .raw() output as the C version, and has the same hashcode. In addition, the Python version is now supports ordering and equality like the C version.
  • Intern keys of object state in __setstate__ to reduce memory usage when unpickling multiple objects with the same attributes.
  • Add support for PyPy3.
  • 100% branch coverage.

4.0.8 (2014-03-20)

  • Add support for Python 3.4.
  • In pure-Python Persistent, avoid loading state in _p_activate for non-ghost objects (which could corrupt their state). (PR #9)
  • In pure-Python, and don’t throw POSKeyError if _p_activate is called on an object that has never been committed. (PR #9)
  • In pure-Python Persistent, avoid calling a subclass’s __setattr__ at instance creation time. (PR #8)
  • Make it possible to delete _p_jar / _p_oid of a pure-Python Persistent object which has been removed from the jar’s cache (fixes aborting a ZODB Connection that has added objects). (PR #7)

4.0.7 (2014-02-20)

  • Avoid a KeyError from _p_accessed() on newly-created objects under pure-Python: these objects may be assigned to a jar, but not yet added to its cache. (PR #6)
  • Avoid a failure in Persistent.__setstate__ when the state dict contains exactly two keys. (PR #5)
  • Fix a hang in picklecache invalidation if OIDs are manually passed out-of-order. (PR #4)
  • Add PURE_PYTHON environment variable support: if set, the C extensions will not be built, imported, or tested.

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 dev alias (installs nose and coverage).
  • Dropped dependency on zope.testing / zope.testrunner: tests now run with test.

Documentation Changes

  • Refactored many Doctests as Sphinx documentation (snippets are exercised via ‘tox’).
  • Added docs alias (installs Sphinx and repoze.sphinx.autointerface).