chore(deps): update dependency jsonpickle to v4#142
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Nov 25, 2024
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This PR contains the following updates:
==3.3.0->==4.0.0Release Notes
jsonpickle/jsonpickle (jsonpickle)
v4.0.0Compare Source
======
* Breaking Change: Python 3.7 is no longer supported.
* Breaking Change: Support for pre-0.7.0
repr-serialized objects is nolonger enabled by default. The
safeoption todecode()was changed fromFalsetoTrue. Users can still passsafe=Falsetodecode()in orderto enable this feature for the purposes of loading older files, but beware that
this feature relies on unsafe behavior through its use of
eval(). Users areencouraged to re-pickle old data in order to migrate away from the the unsafe loading
feature. (+514)
* The pickler no longer produces
py/reprtags when pickling modules.py/modis used instead, as it is clearer and uses one less byte. (+514)* The test suite no longer uses the deprecated
datetime.datetime.utcnow()function. (+539)
v3.4.2Compare Source
======
* The breaking changes from v4 were inadvertedly included in v3.4.1, which has
been yanked. This release remedies this by reverting the v4 changes.
v3.4.1Compare Source
======
* Support decoding pandas dataframes encoded with versions 3.3.0 and older. (+536)
v3.4.0Compare Source
======
* Officially support Python 3.12 in the GitHub Actions testing matrix, and update
GHA package versions used. (+524)
* Improve reproducibility of benchmarking commands on Linux by using taskset and
adding a "HOWTO" run benchmarks section in
benchmarking/README.md. (+526)* The
setup.cfgpackaging configuration has been replaced bypyproject.toml. (+527)*
yamlis now supported as a jsonpickle backend. (+528)*
OSSFuzz <https://github.com/google/oss-fuzz>_ scripts are now available inthe
fuzzing/directory. (+525)* Pure-python dtypes are now preserved across
encode()/decode()roundtripsfor the pandas extension. (#407) (+534)
* Pandas dataframe columns with an
objectdtype that contain multiple differenttypes within (e.g. a column of type
list[Union[str, int]]) now preserve the typesupon being roundtripped. (#457) (#358) (+534)
* Fix warnings in the test suite regarding numpy.compat usage. (#533) (+535)
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