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   2024-02-20 05:45:00 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-jsonpickle: updated to 3.0.3

v3.0.3

* Compatibilty with Pandas and Cython 3.0 was added.
* Fixed a bug where pickling some built-in classes (e.g. zoneinfo)
  could return a ``None`` module.
* Fixed a bug where unpickling a missing class would return a different object
  instead of ``None``.
* Fixed the handling of missing classes when setting ``on_missing`` to ``warn`` \ 
or ``error``.
* The test suite was made compatible with Python 3.12.
* The tox configuration was updated to generate code coverage reports.
* The suite now uses ``ruff`` to validate python code.
* The documentation can now be built offline when ``rst.linker`` and
  ``jaraco.packaging.sphinx`` are not available.
   2024-02-03 18:11:35 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-jsonpickle: updated to 3.0.2

v3.0.2
======
* Properly raise warning if a custom pickling handler returns None.
* Fix issue with serialization of certain sklearn objects breaking when
  the numpy handler was enabled.
* Allow custom backends to not implement _encoder_options
* Implement compatibility with pandas 2 (+446)

v3.0.1
======
* Remove accidental pin of setuptools to versions below 59. This allows
  jsonpickle to build with CPython 3.11 and 3.12 alphas.
* Remove accidental dependency on pytz in pandas tests. (+421)
* Fix issue with decoding bson.bson.Int64 objects

v3.0.0
======
* Drop support for CPython<3.7. CPython 3.6 and below have reached EOL
  and no longer receive security updates.
* Add support for CPython 3.11.
* Remove jsonlib and yajl backends (py2 only)
* Add ``include_properties`` option to the pickler. This should only
  be used if analyzing generated json outside of Python.
* Allow the ``classes`` argument to ``jsonpickle.decode`` to be a dict
  of class name to class object. This lets you decode arbitrary dumps
  into different classes.
* Fix bug with deserializing `numpy.poly1d`.
* Allow frozen dataclasses to be deserialized.
* Fixed a bug where pickling a function could return a ``None`` module.
* Removed old bytes/quopri and ref decoding abaility from the unpickler.
  These were last used in jsonpickle<1. Removing them causes a slight speedup
  in unpickling lists (~5%). (+403)
* Fixed a bug with namedtuples encoding on CPython 3.11.
* When using the ``sort_keys`` option for the ``simplejson`` backend,
  jsonpickle now produces correct object references with py/id tags.
* Speed up the internal method ``_restore_tags`` by ~10%. This should speed
  up unpickling of almost every object.
   2023-07-30 17:32:50 by Adam Ciarcinski | Files touched by this commit (19)
Log message:
Remove dependencies for Python 3.7
   2023-04-30 17:40:20 by Thomas Klausner | Files touched by this commit (1)
Log message:
py-jsonpickle: not for python 2
   2023-03-29 11:34:15 by Thomas Klausner | Files touched by this commit (96)
Log message:
*: use PYTHON_VERSION instead of _PYTHON_VERSION
   2022-08-24 10:41:09 by Thomas Klausner | Files touched by this commit (13)
Log message:
*: use py-test-cov from versioned_dependencies
   2022-01-25 10:05:12 by Thomas Klausner | Files touched by this commit (10)
Log message:
*: use versioned_dependencies.mk for py-importlib-metadata
   2022-01-13 20:31:25 by Thomas Klausner | Files touched by this commit (43)
Log message:
*: setuptools_scm: switch to versioned_dependencies
   2022-01-04 21:55:40 by Thomas Klausner | Files touched by this commit (1595)
Log message:
*: bump PKGREVISION for egg.mk users

They now have a tool dependency on py-setuptools instead of a DEPENDS
   2021-12-10 09:52:22 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-jsonpickle: updated to 2.0.0

v2.0.0

Major release: the serialized JSON format now preserves dictionary identity, \ 
which is a subtle change in the serialized format.
Dictionary identity is now preserved. For example, if the same dictionary \ 
appears twice in a list, the reconstituted list will now contain two references \ 
to the same dictionary.

v1.5.2

Patch release to avoid the change in behavior from the preservation of dict \ 
identity. The next release will be v2.0.0.
This relese does not include the performance improvements from v1.5.1.
Pandas DataFrame objects with multilevel columns are now supported.
Numpy 1.20 is now officially supported.
Python 3.9 is now officially supported.
Achieved a small speedup for _get_flattener by merging type checks.

v1.5.1

The performance of the unpickler was drastically improved by avoiding tag checks \ 
for basic Python types.
decode() documentation improvements.
Serialization of Pandas DataFrame objects that contain timedelta64[ns] dtypes \ 
are now supported.
Dictionary identity is now preserved. For example, if the same dictionary \ 
appears twice in a list, the reconstituted list will now contain two references \ 
to the same dictionary.
Unit tests were added to ensure that sklearn.tree.DecisionTreeClassifier objects \ 
are properly serialized.
The is_reducible() utility function used by encode() is now 4x faster! Objects \ 
that provide __getstate__(), __setstate__(), and __slots__ benefit most from \ 
these improvements.
Improved pickler flatten()/encode() performance.

v1.5.0

Previous versions of jsonpickle with make_refs=False would emit null when \ 
encountering an object it had already seen when traversing objects. All \ 
instances of the object are now serialized. While this is arguably an \ 
improvement in the vast majority of scenarios, it is a change in behavior and is \ 
thus considered a minor-level change.
Multiple enums are now serialized correctly with make_refs=False.

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