def save_global(self, obj, name=None, pack=struct.pack):
"""
Save a "global".
The name of this method is somewhat misleading: all types get
dispatched here.
"""
if obj is type(None): # noqa
return self.save_reduce(type, (None, ), obj=obj)
elif obj is type(Ellipsis):
return self.save_reduce(type, (Ellipsis, ), obj=obj)
elif obj is type(NotImplemented):
return self.save_reduce(type, (NotImplemented, ), obj=obj)
elif obj in _BUILTIN_TYPE_NAMES:
return self.save_reduce(_builtin_type,
(_BUILTIN_TYPE_NAMES[obj], ),
obj=obj)
if sys.version_info[:2] < (3, 7) and _is_parametrized_type_hint(
obj): # noqa # pragma: no branch
# Parametrized typing constructs in Python < 3.7 are not
# compatible with type checks and ``isinstance`` semantics. For
# this reason, it is easier to detect them using a
# duck-typing-based check (``_is_parametrized_type_hint``) than
# to populate the Pickler's dispatch with type-specific savers.
self.save_reduce(_create_parametrized_type_hint,
parametrized_type_hint_getinitargs(obj),
obj=obj)
elif name is not None:
Pickler.save_global(self, obj, name=name)
elif not _is_importable(obj, name=name):
self._save_reduce_pickle5(*_dynamic_class_reduce(obj), obj=obj)
else:
Pickler.save_global(self, obj, name=name)
def save_function(self, obj, name=None):
""" Registered with the dispatch to handle all function types.
Determines what kind of function obj is (e.g. lambda, defined at
interactive prompt, etc) and handles the pickling appropriately.
"""
if _is_importable(obj, name=name):
return Pickler.save_global(self, obj, name=name)
elif PYPY and isinstance(obj.__code__, builtin_code_type):
return self.save_pypy_builtin_func(obj)
else:
return self._save_reduce_pickle5(
*self._dynamic_function_reduce(obj), obj=obj)
