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@@ -1,3 +1,104 @@
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Mon Dec 15 10:20:21 UTC 2025 - Markéta Machová <mmachova@suse.com>
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- Exclude testing with pandas on Leap 16.0
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-------------------------------------------------------------------
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Mon Sep 29 11:33:04 UTC 2025 - Dirk Müller <dmueller@suse.com>
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- update to 4.1.1:
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* Maintenance release to omit upcoming breaking changes.
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* An error in the jsonpickle pandas extension when decoding
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objects that were encoded before jsonpickle v3.4.0 was fixed,
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and warnings were added. (+562)
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* Added jsonpickle.ext.yaml for forwards-compatibility, but the
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yaml module continues to be registered by default. v5.0.0
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will no longer register jsonpickle.ext.yaml by default.
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* Deprecation warnings were added to certain simple functions
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in jsonpickle/util.py. These functions will be removed in
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5.0.0 to ease the transition into typing everything.
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* The test_multindex_dataframe_roundtrip test in the pandas
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extension had been failing on 32-bit architectures in
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Debian's test suite. This has been resolved. (+560)
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* pyproject.toml was updated to include the
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project.license.text field so that pypi continues to list our
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license.
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* pyproject.toml was updated to avoid specifying the license
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file. This avoids breaking older setuptools versions while
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also avoiding the deprecated tool.setuptools.license-files
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field. setuptools will find our LICENSE file automatically,
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so there is no need to specify it.
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* Documentation warnings from furo have been fixed.
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* Numpy datetime64 objects with nanosecond precision are now
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supported. (+556)
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-------------------------------------------------------------------
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Mon Feb 24 13:37:56 UTC 2025 - John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
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- Update to 4.0.2
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* The unpickler is now more resilient to malformed "py/id" and "py/repr" data. (+546)
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* The unpickler is now more resilient to invalid "py/b85" and "py/b64" data. (+547)
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* The unpickler's support for read-only str attributes was improved. (+548) (#478)
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-------------------------------------------------------------------
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Wed Feb 5 07:24:26 UTC 2025 - John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
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- Update to 4.0.1
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* The unpickler is now more resilient to malformed "py/reduce", "py/set",
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"py/tuple", "py/b64", "py/b85", and "py/iterator" input data. (+544) (+545)
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* The test suite was updated to leverage more pytest features.
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* The ``jsonpickle.compat`` module is no longer used. It is still provided
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for backwards compatibility but it may be removed in a future version.
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-------------------------------------------------------------------
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Wed Nov 20 16:10:49 UTC 2024 - Dirk Müller <dmueller@suse.com>
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- update to 4.0.0:
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* Breaking Change: Python 3.7 is no longer supported.
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* Breaking Change: Support for pre-0.7.0 repr-serialized
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objects is no longer enabled by default. The safe option to
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decode() was changed from False to True. Users can still pass
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safe=False to decode() in order to enable this feature for
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the purposes of loading older files, but beware that this
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feature relies on unsafe behavior through its use of eval().
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Users are encouraged to re-pickle old data in order to
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migrate away from the the unsafe loading feature. (+514)
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* The pickler no longer produces py/repr tags when pickling
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modules. py/mod is used instead, as it is clearer and uses
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one less byte. (+514)
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* The test suite no longer uses the deprecated
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datetime.datetime.utcnow() function. (+539)
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* The breaking changes from v4 were inadvertedly included in
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v3.4.1, which has been yanked. This release remedies this by
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reverting the v4 changes.
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* Support decoding pandas dataframes encoded with versions
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3.3.0 and older. (+536)
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* Officially support Python 3.12 in the GitHub Actions testing
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matrix, and update GHA package versions used. (+524)
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* Improve reproducibility of benchmarking commands on Linux by
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using taskset and adding a "HOWTO" run benchmarks section in
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benchmarking/README.md. (+526)
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* The setup.cfg packaging configuration has been replaced by
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pyproject.toml. (+527)
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* yaml is now supported as a jsonpickle backend. (+528)
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* OSSFuzz scripts are now available in the fuzzing/ directory.
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(+525)
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* Pure-python dtypes are now preserved across encode()/decode()
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roundtrips for the pandas extension.
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* Pandas dataframe columns with an object dtype that contain
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multiple different types within (e.g. a column of type
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list[Union[str, int]]) now preserve the types upon being
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roundtripped. (#457)
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* Fix warnings in the test suite regarding numpy.compat usage.
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* The unpickler was updated to avoid using eval, which helps
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improve its security. Users can still pass safe=False to
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decode to use the old behavior, though this is not
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recommended. (+513)
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* Objects can now exclude specific attributes from pickling by
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providing a _jsonpickle_exclude class or instance attribute.
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This attribute should contain the list of attribute names to
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exclude when pickling the object.
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-------------------------------------------------------------------
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Sun Jun 30 20:34:24 UTC 2024 - Dirk Müller <dmueller@suse.com>
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