Changelog for python39-jsonpickle-2.0.0-lp153.qubes.3.118.noarch.rpm :

* Thu Jan 06 2022 Ben Greiner - Don\'t test and recommend unmaintained packages demjson and feedparser
* Mon Feb 15 2021 Ben Greiner - Update to version 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)- Changes in 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. (#351)
* This relese 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)- Changes in v1.5.1
* 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)- Changes in 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. (#333) (#334) (#337) (+338)
* Multiple enums are now serialized correctly with make_refs=False. (#235)- Changes in v1.4.2
* 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.- Changes in v1.4.1
* Patch release for Python 3.8 importlib_metadata support. (#300)- Changes in v1.4
* 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)- Don\'t test numpy and pandas in python36 flavor, because they are no longer available on Tumbleweed (NEP 29)- Test some extras, but not in lettered staging if they are not in Ring1.- Drop PR292-Python38.patch merged upstream
* Sat Mar 14 2020 Tomáš Chvátal - Fix build without python2
* Fri Feb 28 2020 Matej Cepl - Add PR292-Python38.patch to fix Python 3.8 incompatibilities (gh#jsonpickle/jsonpickle#281).
* Thu Dec 05 2019 Matej Cepl - Exclude tests failing with python 3.8 (test_thing_with_fd, test_list_with_fd, and test_dict_with_fd). gh#jsonpickle/jsonpickle#281
* Mon Jun 17 2019 Tomáš Chvátal - Update to 1.2:
* support new sqlalchemy- Remove merged patch sqlalchemy13.patch
* Tue Mar 19 2019 Tomáš Chvátal - Add patch to work with sqlalchemy 1.3:
* sqlalchemy13.patch
* Fri Mar 15 2019 Tomáš Chvátal - Update to 1.1:
* Python 3.7 collections.Iterator deprecation warnings have been fixed. (#229).
* Improved Pandas support for datetime and complex numbers. (#245)
* 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.
* Nested classes are now supported on Python 3. (#206, #176).
* Better support for older (pre-1.9) versions of numpy (#195).
* Tue Dec 04 2018 Matej Cepl - Remove superfluous devel dependency for noarch package
* Wed May 23 2018 toddrme2178AATTgmail.com- Update to version 0.9.6
* Better support for SQLAlchemy (#180).
* Better support for NumPy and SciKit-Learn. (#184).- Update to version 0.9.5
* Better support for objects that implement the reduce protocol. (#170).- Remove no longer relevant handle_more_than_two_args.patch- Spec file cleanups
* Wed Apr 26 2017 toddrme2178AATTgmail.com- Implement single-spec version.- Fix source URL.- Update to Version 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.- Update to Version 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.- Update to Version 0.9.2
* Fixes for serializing objects with custom handlers.
* We now properly serialize deque objects constructed with a `maxlen` parameter.
* Test suite fixes- Update to Version 0.9.1
* Support datetime objects with FixedOffsets.- Update to Version 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).- Update to Version 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.- Update to Version 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.- Update to Version 0.7.1
* Added support for Python 3.4.
* Added support for :class:`posix.stat_result`.- Update to Version 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)`- Update to Version 0.6.1
* Python 3.2 support, and additional fixes for Python 3.- Update to Version 0.6.0
* Python 3 support!
* :class:`time.struct_time` is now serialized using the built-in :class:`jsonpickle.handlers.SimpleReduceHandler`.- Update to Version 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`.- Add handle_more_than_two_args.patch Needed for python 3.6 compatibility. Note that only the first part of the upstream patch is used. The second part is travis CI changes.