chore(deps): update dependency jsonpickle to v4 #142
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This PR contains the following updates:
==3.3.0
->==4.0.0
Release Notes
jsonpickle/jsonpickle (jsonpickle)
v4.0.0
Compare 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
safe
option todecode()
was changed fromFalse
toTrue
. Users can still passsafe=False
todecode()
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/repr
tags when pickling modules.py/mod
is 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)
v3.4.2
Compare 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.
v3.4.1
Compare Source
======
* Support decoding pandas dataframes encoded with versions 3.3.0 and older. (+536)
v3.4.0
Compare 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.cfg
packaging configuration has been replaced bypyproject.toml
. (+527)*
yaml
is 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
object
dtype 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)
Configuration
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