- 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

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- 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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- Update BuildRequirements for tests: scipy and numpy are only
  available for python >= 3.7 soon. 
- Apply upstream's deprecation of Python 2: Already failing due to
  syntax errors.

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pip not needed anymore

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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 1.6.0
  * Fix a bug causing cloudpickle to crash when pickling dynamically created, importable modules. (issue #360)
  * cloudpickle's pickle.Pickler subclass (currently defined as cloudpickle.cloudpickle_fast.CloudPickler) can 
    and should now be accessed as cloudpickle.Pickler. This is the only officially supported way of accessing it. (issue #366)
  * cloudpickle now supports pickling dict_keys, dict_items and dict_values. (PR #384)

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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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- Update to version 1.3.0
  * mostly bugfix release
  * Add support for out-of-band pickling (Python 3.8 and later).

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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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