Pin jsonpickle to latest version 3.0.2

[pyup-bot]

This PR pins jsonpickle to the latest release 3.0.2.

Changelog

3.0.2

======
 * Properly raise warning if a custom pickling handler returns None. (433)
 * Fix issue with serialization of certain sklearn objects breaking when
   the numpy handler was enabled. (431) (+434)
 * Allow custom backends to not implement _encoder_options (436) (+446)
 * Implement compatibility with pandas 2 (+446)
 * Fix encoding/decoding of dictionary subclasses with referencing (+455)
 * Fix depth tracking for list/dict referencing (+456)

3.0.1

======
 * Remove accidental pin of setuptools to versions below 59. This allows
   jsonpickle to build with CPython 3.11 and 3.12 alphas. (424)
 * Remove accidental dependency on pytz in pandas tests. (+421)
 * Fix issue with decoding bson.bson.Int64 objects (422)

3.0.0

======
 * Drop support for CPython<3.7. CPython 3.6 and below have reached EOL
   and no longer receive security updates. (375)
 * Add support for CPython 3.11. (395) (+396)
 * 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. (297) (+387)
 * 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. (148) (+392)
 * Fix bug with deserializing `numpy.poly1d`. (391)
 * Allow frozen dataclasses to be deserialized. (240)
 * Fixed a bug where pickling a function could return a ``None`` module. (399)
 * 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. (411)
 * When using the ``sort_keys`` option for the ``simplejson`` backend,
   jsonpickle now produces correct object references with py/id tags. (408)
 * Speed up the internal method ``_restore_tags`` by ~10%. This should speed
   up unpickling of almost every object.

2.2.0

======

 * Classes with a custom ``__getitem__()`` and ``append()``
   now pickle properly. (362) (+379)
 * Remove the demjson backend, as demjson hasn't been maintained
   for 5 years. (+379)
 * Added new handler for numpy objects when using unpickleable=False.
   (381) (+382)
 * Added exception handling for class attributes that can't be accessed.
   (301) (+383)
 * Added a long-requested on_missing attribute to the Unpickler class.
   This lets you choose behavior for when jsonpickle can't find a class
   to deserialize to. (190) (193) (+384)
 * Private members of ``__slots__`` are no longer skipped when encoding.
   Any objects encoded with versions prior to 2.2.0 should still decode
   properly. (318) (+385)

2.1.0

======

 * Python 3.10 is now officially supported. (+376)
 * Benchmarks were added to aid in optimization efforts.  (350) (+352)
 * ``is_reducible()`` was sped up by ~80%.  (+353) (+354)
 * ``_restore_tags()`` was sped up by ~100%. Unpickling items
   with a lot of tuples and sets will benefit most. Python 2 users
   and users deserializing pickles from jsonpickle <= 0.9.6 may see
   a slight performance decrease if using a lot of bytes, ref,
   and/or repr objects. (+354)
 * ``is_iterator()`` was sped up by ~20% by removing an unnecessary
   variable assignment. (+354)
 * ``jsonpickle.decode`` has a new option, ``v1_decode`` to assist in
   decoding objects created in jsonpickle version 1. (364)
 * The ``encode()`` documentation has been updated to help sklearn users.
 * ``demjson`` has been removed from the test suite. (+374)
 * ``SQLALchemy<1.2`` is no longer being tested by jsonpickle.
   Users of sqlalchemy + jsonpickle can always use 1.2 or 1.3.
   When jsonpickle v3 is released we will add SQLAlchemy 1.4 to
   the test suite alongside removal of support for Python 3.5 and earlier.

2.0.0

======
 * Major release: the serialized JSON format now preserves dictionary
   identity, which is a subtle change in the serialized format.  (351)
 * 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.  (255) (+332)

1.5.2

======
 * Patch release to avoid the change in behavior from the preservation
   of dict identity.  The next release will be v2.0.0.  (351)
 * This release does *not* include the performance improvements
   from v1.5.1.
 * Pandas DataFrame objects with multilevel columns are now supported.
   (346) (+347)
 * Numpy 1.20 is now officially supported.  (336)
 * Python 3.9 is now officially supported.  (+348)
 * Achieved a small speedup for _get_flattener by merging type checks. (+349)

1.5.1

======
 * The performance of the unpickler was drastically improved by
   avoiding tag checks for basic Python types.  (+340)
 * ``decode()`` documentation improvements.  (+341)
 * Serialization of Pandas DataFrame objects that contain
   timedelta64[ns] dtypes are now supported.  (+330) (331)
 * 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.  (255) (+332)
 * Unit tests were added to ensure that sklearn.tree.DecisionTreeClassifier
   objects are properly serialized.  (155) (+344)
 * The ``is_reducible()`` utility function used by ``encode()`` is now
   4x faster!  Objects that provide ``__getstate__()``, ``__setstate__()``,
   and ``__slots__`` benefit most from these improvements.  (+343)
 * Improved pickler ``flatten()/encode()`` performance.  (+345)

1.5.0

======
 * 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.  (333) (334) (337) (+338)
 * Multiple enums are now serialized correctly with `make_refs=False`.  (235)

1.4.2

======
 * Use importlib.metadata from the stdlib on Python 3.8.  (+305) (303)
 * Micro-optimize type checks to use a `set` for lookups. (+327)
 * Documentation improvements.

1.4.1

======
 * Patch release for Python 3.8 `importlib_metadata` support.
   (300)

1.4

====
 * Python 3.8 support.  (292)
 * ``jsonpickle.encode`` now supports the standard ``indent``
   and ``separators`` arguments, and passes them through to the
   active JSON backend library.  (183)
 * We now include a custom handler for `array.array` objects.  (199)
 * Dict key order is preserved when pickling dictionaries on Python3.  (193)
 * Improved serialization of dictionaries with non-string keys.
   Previously, using an enum that was both the key and a value in
   a dictionary could end up with incorrect references to other
   objects.  The references are now properly maintained for dicts
   with object keys that are also referenced in the dict's values.  (286)
 * Improved serialization of pandas.Series objects.  (287)

1.3

====
 * Improved round tripping of default dicts.  (+283) (282)

 * Better support for cyclical references when encoding with
   ``unpicklable=False``.  (+264)

1.2

====
 * Simplified JSON representation for `__reduce__` values.  (+261)

 * Improved Pandas support with new handlers for more Pandas data types.
   (+256)

 * Prevent stack overflows caused by bugs in user-defined `__getstate__`
   functions which cause infinite recursion.  (+260)
   (259)

 * Improved support for objects that contain dicts with Integer keys.
   Previously, jsonpickle could not restore objects that contained
   dicts with integer keys and provided getstate only.
   These objects are now handled robustly.  (247).

 * Support for encoding binary data in `base85`_ instead of base64 has been
   added on Python 3. Base85 produces payloads about 10% smaller than base64,
   albeit at the cost of lower throughput.  For performance and backwards
   compatibility with Python 2 the pickler uses base64 by default, but it can
   be configured to use ``base85`` with the new ``use_base85`` argument.
   (251).

 * Dynamic SQLAlchemy tables in SQLAlchemy >= 1.3 are now supported.
   (254).

.. _base85: https://en.wikipedia.org/wiki/Ascii85

1.1

====
 * Python 3.7 `collections.Iterator` deprecation warnings have been fixed.
   (229).

 * Improved Pandas support for datetime and complex numbers.  (+245)

1.0

====
 * *NOTE* jsonpickle no longer supports Python2.6, or Python3 < 3.4.
   The officially supported Python versions are now 2.7 and 3.4+.

 * Improved Pandas and Numpy support.  (+227)

 * Improved support for pickling iterators.  (+216)

 * Better support for the stdlib `json` module when `simplejson`
   is not installed.  (+217)

 * jsonpickle will now output python3-style module names when
   pickling builtins methods or functions.  (+223)

 * jsonpickle will always flatten primitives, even when ``max_depth``
   is reached, which avoids encoding unicode strings into their
   ``u'string'`` representation.  (+207) (180) (198).

 * Nested classes are now supported on Python 3.  (+206) (176).

 * Better support for older (pre-1.9) versions of numpy (+195).

0.9.6

======
 * Better support for SQLAlchemy (180).

 * Better support for NumPy and SciKit-Learn.  (184).

 * Better support for dict sub-classes (156).

0.9.5

======
 * Better support for objects that implement the reduce protocol.  (+170)
   This backward-incompatible change removes the SimpleReduceHandler.
   Any projects registering that handler for a particular type should
   instead remove references to the handler and jsonpickle will now
   handle those types directly.

0.9.4

======
 * Arbitrary byte streams are now better supported.  (143)

 * Better support for NumPy data types.  The Python3 NumPy support
   is especially robust.

 * Fortran-ordered based NumPy arrays are now properly serialized.

0.9.3

======
 * UUID objects can now be serialized (130)

 * Added `set_decoder_options` method to allow decoder specific options
   equal to `set_encoder_options`.

 * Int keys can be encoded directly by e.g. demjson by passing
   `numeric_keys=True` and setting its backend options via
   `jsonpickle.set_encoder_options('demjson', strict=False)`.

 * Newer Numpy versions (v1.10+) are now supported.

0.9.2

======
 * Fixes for serializing objects with custom handlers.

 * We now properly serialize deque objects constructed with a `maxlen` parameter.

 * Test suite fixes

0.9.1

======

 * Support datetime objects with FixedOffsets.

0.9.0

======
 * Support for Pickle Protocol v4.

 * We now support serializing defaultdict subclasses that use `self`
   as their default factory.

 * We now have a decorator syntax for registering custom handlers,
   and allow custom handlers to register themselves for all subclasses.
   (+104)

 * We now support serializing types with metaclasses and their
   instances (e.g., Python 3 `enum`).

 * We now support serializing bytestrings in both Python 2 and Python 3.
   In Python 2, the `str` type is decoded to UTF-8 whenever possible and
   serialized as a true bytestring elsewise; in Python 3, bytestrings
   are explicitly encoded/decoded as bytestrings. Unicode strings are
   always encoded as is in both Python 2 and Python 3.

 * Added support for serializing numpy arrays, dtypes and scalars
   (see `jsonpickle.ext.numpy` module).

0.8.0

======

 * We now support serializing objects that contain references to
   module-level functions.  (77)

 * Better Pickle Protocol v2 support.  (78)

 * Support for string ``__slots__`` and iterable ``__slots__``. (67) (68)

 * `encode()` now has a `warn` option that makes jsonpickle emit warnings
   when encountering objects that cannot be pickled.

 * A Javascript implementation of jsonpickle is now included
   in the jsonpickleJS directory.

0.7.2

======

 * We now properly serialize classes that inherit from classes
   that use `__slots__` and add additional slots in the derived class.
 * jsonpickle can now serialize objects that implement `__getstate__()` but
   not `__setstate__()`.  The result of `__getstate__()` is returned as-is
   when doing a round-trip from Python objects to jsonpickle and back.
 * Better support for collections.defaultdict with custom factories.
 * Added support for `queue.Queue` objects.

0.7.1

======

 * Added support for Python 3.4.
 * Added support for :class:`posix.stat_result`.

0.7.0

======

 * Added ``handles`` decorator to :class:`jsonpickle.handlers.BaseHandler`,
   enabling simple declaration of a handler for a class.
 * `__getstate__()` and `__setstate__()` are now honored
   when pickling objects that subclass :class:`dict`.
 * jsonpickle can now serialize :class:`collections.Counter` objects.
 * Object references are properly handled when using integer keys.
 * Object references are now supported when using custom handlers.
 * Decimal objects are supported in Python 3.
 * jsonpickle's "fallthrough-on-error" behavior can now be disabled.
 * Simpler API for registering custom handlers.
 * A new "safe-mode" is provided which avoids eval().
   Backwards-compatible deserialization of repr-serialized objects
   is disabled in this mode.  e.g. `decode(string, safe=True)`

0.6.1

======

 * Python 3.2 support, and additional fixes for Python 3.

0.6.0

======

 * Python 3 support!
 * :class:`time.struct_time` is now serialized using the built-in
   :class:`jsonpickle.handlers.SimpleReduceHandler`.

0.5.0

======

 * Non-string dictionary keys (e.g. ints, objects) are now supported
   by passing `keys=True` to :func:`jsonpickle.encode` and
   :func:`jsonpickle.decode`.
 * We now support namedtuple, deque, and defaultdict.
 * Datetimes with timezones are now fully supported.
 * Better support for complicated structures e.g.
   datetime inside dicts.
 * jsonpickle added support for references and cyclical data structures
   in 0.4.0.  This can be disabled by passing `make_refs=False` to
   :func:`jsonpickle.encode`.

0.4.0

=====

 * Switch build from setuptools to distutils
 * Consistent dictionary key ordering
 * Fix areas with improper support for unpicklable=False
 * Added support for cyclical data structures
   (16).
 * Experimental support for  `jsonlib <http://pypi.python.org/pypi/jsonlib/>`_
   and `py-yajl <http://github.com/rtyler/py-yajl/>`_ backends.
 * New contributors David K. Hess and Alec Thomas

 .. warning::

     To support cyclical data structures
     (16),
     the storage format has been modified.  Efforts have been made to
     ensure backwards-compatibility.  jsonpickle 0.4.0 can read data
     encoded by jsonpickle 0.3.1, but earlier versions of jsonpickle may be
     unable to read data encoded by jsonpickle 0.4.0.

0.3.1

=====

 * Include tests and docs directories in sdist for distribution packages.

0.3.0

=====

 * Officially migrated to git from subversion. Project home now at
   `<http://jsonpickle.github.com/>`_. Thanks to Michael Jone's
   `sphinx-to-github <http://github.com/michaeljones/sphinx-to-github>`_.
 * Fortified jsonpickle against common error conditions.
 * Added support for:

  * List and set subclasses.
  * Objects with module references.
  * Newstyle classes with `__slots__`.
  * Objects implementing `__setstate__()` and `__getstate__()`
    (follows the :mod:`pickle` protocol).

 * Improved support for Zope objects via pre-fetch.
 * Support for user-defined serialization handlers via the
   jsonpickle.handlers registry.
 * Removed cjson support per John Millikin's recommendation.
 * General improvements to style, including :pep:`257` compliance and
   refactored project layout.
 * Steps towards Python 2.3 and Python 3 support.
 * New contributors Dan Buch and Ian Schenck.
 * Thanks also to Kieran Darcy, Eoghan Murray, and Antonin Hildebrand
   for their assistance!

0.2.0

=====

 * Support for all major Python JSON backends (including json in Python 2.6,
   simplejson, cjson, and demjson)
 * Handle several datetime objects using the repr() of the objects
   (Thanks to Antonin Hildebrand).
 * Sphinx documentation
 * Added support for recursive data structures
 * Unicode dict-keys support
 * Support for Google App Engine and Django
 * Tons of additional testing and bug reports (Antonin Hildebrand, Sorin,
   Roberto Saccon, Faber Fedor,
   `FirePython <http://github.com/darwin/firepython/tree/master>`_, and
   `Joose <http://code.google.com/p/joose-js/>`_)

0.1.0

=====

 * Added long as basic primitive (thanks Adam Fisk)
 * Prefer python-cjson to simplejson, if available
 * Major API change, use python-cjson's decode/encode instead of
   simplejson's load/loads/dump/dumps
 * Added benchmark.py to compare simplejson and python-cjson

0.0.5

=====

 * Changed prefix of special fields to conform with CouchDB
   requirements (Thanks Dean Landolt). Break backwards compatibility.
 * Moved to Google Code subversion
 * Fixed unit test imports

0.0.3

=====

 * Convert back to setup.py from pavement.py (issue found by spidaman)

0.0.2

=====

 * Handle feedparser's FeedParserDict
 * Converted project to Paver
 * Restructured directories
 * Increase test coverage

0.0.1

=====

 Initial release

Links

• PyPI: https://pypi.org/project/jsonpickle
• Changelog: https://pyup.io/changelogs/jsonpickle/
• Repo: https://github.com/jsonpickle/jsonpickle