Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/18734#discussion_r130766049
--- Diff: python/pyspark/cloudpickle.py ---
@@ -397,42 +625,7 @@ def save_global(self, obj, name=None,
pack=struct.pack):
typ = type(obj)
if typ is not obj and isinstance(obj, (type, types.ClassType)):
- d = dict(obj.__dict__) # copy dict proxy to a dict
- if not isinstance(d.get('__dict__', None), property):
- # don't extract dict that are properties
- d.pop('__dict__', None)
- d.pop('__weakref__', None)
-
- # hack as __new__ is stored differently in the __dict__
- new_override = d.get('__new__', None)
- if new_override:
- d['__new__'] = obj.__new__
-
- # workaround for namedtuple (hijacked by PySpark)
- if getattr(obj, '_is_namedtuple_', False):
- self.save_reduce(_load_namedtuple, (obj.__name__,
obj._fields))
- return
-
- self.save(_load_class)
- self.save_reduce(typ, (obj.__name__, obj.__bases__,
{"__doc__": obj.__doc__}), obj=obj)
- d.pop('__doc__', None)
- # handle property and staticmethod
- dd = {}
- for k, v in d.items():
--- End diff --
I assume we are fine per the tests added in
https://github.com/apache/spark/commit/e044705b4402f86d0557ecd146f3565388c7eeb4.
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