Cloudpickle

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- Fixed a regression: `AttributeError` when loading pickles that hold a
reference to a dynamically defined class from the `__main__` module.
([issue 131]( https://github.com/cloudpipe/cloudpickle/issues/131)).

- Fixed a crash in Python 2 when serializing non-hashable instancemethods of built-in
types. ([issue 144](https://github.com/cloudpipe/cloudpickle/issues/144))

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- Restored compatibility with pickles from 0.4.0.
- Handle the `func.__qualname__` attribute.

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- Fixed a crash when pickling dynamic classes whose `__dict__` attribute was
defined as a [`property`](https://docs.python.org/3/library/functions.html#property).
Most notably, this affected dynamic [namedtuples](https://docs.python.org/2/library/collections.html#namedtuple-factory-function-for-tuples-with-named-fields)
in Python 2. (https://github.com/cloudpipe/cloudpickle/pull/113)
- Cloudpickle now preserves the `__module__` attribute of functions (https://github.com/cloudpipe/cloudpickle/pull/118/).
- Fixed a crash when pickling modules that don't have a `__package__` attribute (https://github.com/cloudpipe/cloudpickle/pull/116).

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* Fix functions with empty cells
* Allow pickling Logger objects
* Fix crash when pickling dynamic class cycles
* Ignore "None" mdoules added to sys.modules
* Support WeakSets and ABCMeta instances
* Remove non-standard `__transient__` support
* Catch exception from `pickle.whichmodule()`

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* Fix version information and ship a changelog

0.3.0
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* Import submodules accessed by pickled functions
* Support recursive functions inside closures
* Fix `ResourceWarnings` and `DeprecationWarnings`
* Assume modules with `__file__` attribute are not dynamic

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* Support Python 3.6
* Support Tornado Coroutines
* Support builtin methods