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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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- version update to 1.2.1
    * Restore (partial) support for Python 3.4 for downstream projects that have LTS versions that would benefit from cloudpickle bug fixes.
    * Leverage the C-accelerated Pickler new subclassing API (available in Python 3.8) in cloudpickle. This allows cloudpickle to pickle Python objects up to 30 times faster. (issue #253)
    * Support pickling of classmethod and staticmethod objects in python2. arguments. (issue #262)
    * Add support to pickle type annotations for Python 3.5 and 3.6 (pickling type annotations was already supported for Python 3.7, Python 3.4 might also work but is no longer officially supported by cloudpickle) (issue #276)
    * Internal refactoring to proactively detect dynamic functions and classes when pickling them. This refactoring also yields small performance improvements when pickling dynamic classes (~10%) (issue #273)

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