- Add %{?sle15_python_module_pythons}

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- update to 2.2.1:
  * Back to dev mode
  * Move builtin classmethod_descriptor to a different test
  * Fix Python 3.9+ NamedTuple issues
- drop Move-builtin-classmethod_descriptor-to-a-different-t.patch (upstream)

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- restore testing against scipy/numpy on tumbleweed, all 
  versions exist there again

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- Add python-py as test dependency

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- Add Move-builtin-classmethod_descriptor-to-a-different-t.patch to fix the
  tests with python 3.10.8 gh#cloudpipe/cloudpickle#486

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- update to 2.2.0:
  * Improve compatibility with "nogil" Python and 3.11 
  * Fix compatibility with Python 3.11
  * Add Python 3.10 to tox config
  * Fix #440: Incorrect pickles for subclasses of generic classes 
  * Extend test_abc to include abstract properties
  * Add support for abc.abstract* methods
  * Add test for multiprocessing.Lock error

- Update to 2.1.0
  * Support for pickling abc.abstractproperty, abc.abstractclassmethod, and abc.abstractstaticmethod. (PR #450)
  * Support for pickling subclasses of generic classes. (PR #448)
  * Support and CI configuration for Python 3.11. (PR #467)
  * Support for the experimental nogil variant of CPython (PR #470)
- Update to 2.0.0
  * Python 3.5 is no longer supported.
  * Support for registering modules to be serialised by value. This allows code defined in local modules to be serialised
    and executed remotely without those local modules installed on the remote machine. (PR #417)
  * Fix a side effect altering dynamic modules at pickling time. (PR #426)
  * Support for pickling type annotations on Python 3.10 as per PEP 563 (PR #400)
  * Stricter parametrized type detection heuristics in _is_parametrized_type_hint to limit false positives. (PR #409)
  * Support pickling / depickling of OrderedDict KeysView, ValuesView, and ItemsView, following similar strategy for vanilla Python dictionaries. (PR #423)
  * Suppressed a source of non-determinism when pickling dynamically defined functions and handles the deprecation of co_lnotab in Python 3.10+. (PR #428)

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- Don't pip install testpkg into user sitelib
  * it masks problems with reused local builds
  * was only single flavor

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- Update to 1.4.1:
  * Fix incompatibilities between cloudpickle 1.4.0 and Python 3.5.0/1/2 introduced by the new support of cloudpickle for pickling typing constructs. (issue #360)
  * Restore compat with loading dynamic classes pickled with cloudpickle version 1.2.1 that would reference the types.ClassType attribute. (PR #359)
  * This version requires Python 3.5 or later
  * cloudpickle can now all pickle all constructs from the typing module and the typing_extensions library in Python 3.5+ (PR #318)
  * Stop pickling the annotations of a dynamic class for Python < 3.6 (follow up on #276) (issue #347)
  * Fix a bug affecting the pickling of dynamic TypeVar instances on Python 3.7+, and expand the support for pickling TypeVar instances (dynamic or non-dynamic) to Python 3.5-3.6 (PR #350)
  * Add support for pickling dynamic classes subclassing typing.Generic instances on Python 3.7+ (PR #351)

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- Fix build without python2

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- Exclude failing tests gh#cloudpipe/cloudpickle#316

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- Update to 1.2.2:
  * Revert the change introduced in (issue #276) attempting to pickle functions annotations for Python 3.4 to 3.6. It is not possible to pickle complex typing constructs for those versions (see issue #193)
  * Fix a bug affecting bound classmethod saving on Python 2. (issue #288)
  * Add support for pickling "getset" descriptors (issue #290)

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- Update to 0.8.1:
  * Fix a bug (already present before 0.5.3 and re-introduced in 0.8.0) affecting relative import instructions inside depickled functions (issue #254)

- Update to 0.8.0:
  * Add support for pickling interactively defined dataclasses. (issue #245)
  * Global variables referenced by functions pickled by cloudpickle are now unpickled in a new and isolated namespace scoped by the CloudPickler instance. This restores the (previously untested) behavior of cloudpickle prior to changes done in 0.5.4 for functions defined in the __main__ module, and 0.6.0/1 for other dynamic functions.

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- Fix runtime dependencies and raise numpy requirement

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