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In development

3.1.0

  • Some improvements to make cloudpickle more deterministic when pickling dynamic functions and classes, in particular with CPython 3.13. (PR #524 and PR #534)

  • Fix a problem with the joint usage of cloudpickle's _whichmodule and multiprocessing. (PR #529)

3.0.0

  • Officially support Python 3.12 and drop support for Python 3.6 and 3.7. Dropping support for older Python versions made it possible to simplify the code base significantly, hopefully making it easier to contribute to and maintain the project. (PR #517)

  • Fix pickling of dataclasses and their instances. (issue #386, PR #513)

  • Any color you like as long as it's black. (PR #521)

  • Drop setup.py and setuptools in favor of pyproject.toml and flit. (PR #521)

2.2.1

  • Fix pickling of NamedTuple in Python 3.9+. (issue #460)

2.2.0

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)

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)

1.6.0

  • 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)

1.5.0

  • Fix a bug causing cloudpickle to crash when pickling dynamically created, importable modules. (issue #360)

  • Add optional dependency on pickle5 to get improved performance on Python 3.6 and 3.7. (PR #370)

  • Internal refactoring to ease the use of pickle5 in cloudpickle for Python 3.6 and 3.7. (PR #368)

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)

1.4.0

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)

1.3.0

  • Fix a bug affecting dynamic modules occuring with modified builtins (issue #316)

  • Fix a bug affecting cloudpickle when non-modules objects are added into sys.modules (PR #326).

  • Fix a regression in cloudpickle and python3.8 causing an error when trying to pickle property objects. (PR #329).

  • Fix a bug when a thread imports a module while cloudpickle iterates over the module list (PR #322).

  • Add support for out-of-band pickling (Python 3.8 and later). https://docs.python.org/3/library/pickle.html#example (issue #308)

  • Fix a side effect that would redefine types.ClassTypes as type when importing cloudpickle. (issue #337)

  • Fix a bug affecting subclasses of slotted classes. (issue #311)

  • Dont pickle the abc cache of dynamically defined classes for Python 3.6- (This was already the case for python3.7+) (issue #302)

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)

1.2.1

  • Restore (partial) support for Python 3.4 for downstream projects that have LTS versions that would benefit from cloudpickle bug fixes.

1.2.0

  • 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)

1.1.1

  • Minor release to fix a packaging issue (Markdown formatting of the long description rendered on pypi.org). The code itself is the same as 1.1.0.

1.1.0

  • Support the pickling of interactively-defined functions with positional-only arguments. (issue #266)

  • Track the provenance of dynamic classes and enums so as to preseve the usual isinstance relationship between pickled objects and their original class defintions. (issue #246)

1.0.0

  • Fix a bug making functions with keyword-only arguments forget the default values of these arguments after being pickled. (issue #264)

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)

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.

0.7.0

  • Correctly serialize dynamically defined classes that have a __slots__ attribute. (issue #225)

0.6.1

  • Fix regression in 0.6.0 which breaks the pickling of local function defined in a module, making it impossible to access builtins. (issue #211)

0.6.0

  • Ensure that unpickling a function defined in a dynamic module several times sequentially does not reset the values of global variables. (issue #187)

  • Restrict the ability to pickle annotations to python3.7+ (issue #193 and issue #196)

  • Stop using the deprecated imp module under Python 3. (issue #207)

  • Fixed pickling issue with singleton types NoneType, type(...) and type(NotImplemented) (issue #209)

0.5.6

  • Ensure that unpickling a locally defined function that accesses the global variables of a module does not reset the values of the global variables if they are already initialized. (issue #187)

0.5.5

  • Fixed inconsistent version in cloudpickle.__version__.

0.5.4

  • Fixed a pickling issue for ABC in python3.7+ (issue #180).

  • Fixed a bug when pickling functions in __main__ that access global variables (issue #187).

0.5.3

  • Fixed a crash in Python 2 when serializing non-hashable instancemethods of built-in types (issue #144).

  • itertools objects can also pickled (PR #156).

  • logging.RootLogger can be also pickled (PR #160).

0.5.2

  • Fixed a regression: AttributeError when loading pickles that hold a reference to a dynamically defined class from the __main__ module. (issue #131).

  • Make it possible to pickle classes and functions defined in faulty modules that raise an exception when trying to look-up their attributes by name.

0.5.1

  • Fixed cloudpickle.__version__.

0.5.0

  • Use pickle.HIGHEST_PROTOCOL by default.

0.4.4

  • logging.RootLogger can be also pickled (PR #160).

0.4.3

  • Fixed a regression: AttributeError when loading pickles that hold a reference to a dynamically defined class from the __main__ module. (issue #131).

  • Fixed a crash in Python 2 when serializing non-hashable instancemethods of built-in types. (issue #144)

0.4.2

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

0.4.1

  • Fixed a crash when pickling dynamic classes whose __dict__ attribute was defined as a property. Most notably, this affected dynamic namedtuples in Python 2. (#113)
  • Cloudpickle now preserves the __module__ attribute of functions (#118).
  • Fixed a crash when pickling modules that don't have a __package__ attribute (#116).

0.4.0

  • 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()

0.3.1

  • Fix version information and ship a changelog

0.3.0

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

0.2.2

  • Support Python 3.6
  • Support Tornado Coroutines
  • Support builtin methods

0.2.1

  • Packaging fix

0.2.0

  • Support method_descriptor
  • Support unbound instancemethods
  • Fixes for PyPy3
  • More support for pickling dynamic imports

0.1.0

Released on 2015-04-16 from the (real) clouds somewhere between Montréal and Atlanta.