hiveeyes / apicast

Apicast acquires bee flight forecast information published by Deutscher Wetterdienst (DWD)
https://community.hiveeyes.org/t/dwd-prognose-bienenflug/787
GNU Affero General Public License v3.0
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Update jsonpickle requirement from <3,>=2 to >=2,<4 #7

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

⚠️ Dependabot is rebasing this PR ⚠️

Rebasing might not happen immediately, so don't worry if this takes some time.

Note: if you make any changes to this PR yourself, they will take precedence over the rebase.


Updates the requirements on jsonpickle to permit the latest version.

Changelog

Sourced from jsonpickle's changelog.

v3.0.1

* Remove accidental pin of setuptools to versions below 59. This allows
  jsonpickle to build with CPython 3.11 and 3.12 alphas. ([#424](https://github.com/jsonpickle/jsonpickle/issues/424))
* Remove accidental dependency on pytz in pandas tests. (+421)
* Fix issue with decoding bson.bson.Int64 objects ([#422](https://github.com/jsonpickle/jsonpickle/issues/422))

v3.0.0

* Drop support for CPython<3.7. CPython 3.6 and below have reached EOL
  and no longer receive security updates. ([#375](https://github.com/jsonpickle/jsonpickle/issues/375))
* Add support for CPython 3.11. ([#395](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/148)) (+392)
* Fix bug with deserializing `numpy.poly1d`. ([#391](https://github.com/jsonpickle/jsonpickle/issues/391))
* Allow frozen dataclasses to be deserialized. ([#240](https://github.com/jsonpickle/jsonpickle/issues/240))
* Fixed a bug where pickling a function could return a ``None`` module. ([#399](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/411))
* When using the ``sort_keys`` option for the ``simplejson`` backend,
  jsonpickle now produces correct object references with py/id tags. ([#408](https://github.com/jsonpickle/jsonpickle/issues/408))
* Speed up the internal method ``_restore_tags`` by ~10%. This should speed
  up unpickling of almost every object.

v2.2.0

* Classes with a custom ``__getitem__()`` and ``append()``
  now pickle properly. ([#362](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/381)) (+382)
* Added exception handling for class attributes that can't be accessed.
  ([#301](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/190)) ([#193](https://github.com/jsonpickle/jsonpickle/issues/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](https://github.com/jsonpickle/jsonpickle/issues/318)) (+385)

v2.1.0

... (truncated)

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codecov[bot] commented 1 year ago

Codecov Report

Merging #7 (6aef49b) into main (2f5edb3) will not change coverage. The diff coverage is n/a.

@@           Coverage Diff           @@
##             main       #7   +/-   ##
=======================================
  Coverage   88.72%   88.72%           
=======================================
  Files           6        6           
  Lines         266      266           
=======================================
  Hits          236      236           
  Misses         30       30           
Flag Coverage Δ
unittests 88.72% <ø> (ø)

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