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- update to 3.0.4:
  * Fixed an issue with django.SafeString and other classes
    inheriting from str having read-only attribute errors
  * The test suite was made compatible with pytest-ruff>=0.3.0
  * A `garden.yaml` file was added for use with the
   `garden` command runner.
  * The test suite was updated to avoid deprecated SQLALchemy APIs.
   * The `jaraco.packaging.sphinx` documentation dependency was
     removed.

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baserev update by copy to link target

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- Fix build error for Leap.

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- update to 3.0.3:
  * Compatibilty with Pandas and Cython 3.0 was added.
  * Fixed a bug where pickling some built-in classes (e.g. zoneinfo)

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- Add patch to enable the gmpy test correctly:
  * enable_gmpy_test.patch
- Disable BuildRequies pandas and scikit-learn in SLE where
  they're not available and only used for tests
- Use python-bson instead of python-pymongo in SLE
- Do not search for tests recursively in SLE but explicitly name
  the directory/files containing tests. This solves an issue
  building the package without pandas in SLE.

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- Update to 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)
- Drop pandas2.patch
- Skip a noncritical test due to pandas built with Cython 3
  gh#jsonpickle/jsonpickle#460

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- Add patch pandas2.patch to fix compatibility
- Skip flaky test

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- Add %{?sle15_python_module_pythons}

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- Update to 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)
- Release 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.
- Release 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)
- Release 2.1.0
  * Python 3.10 is now officially supported. (+376)
  * `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.
  * `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.
- Remove testing skip conditionals:
  * no python36 anymore
  * jsonpickle not in Ring1 anymore

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- Don't test and recommend unmaintained packages demjson and
  feedparser

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- 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)

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baserev update by copy to link target

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- Fix build without python2

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