Support pickling dynamic classes subclassing typing.Generic instances on 3.7+

CHANGES.md

@@ -11,6 +11,9 @@
   and expand the support for pickling `TypeVar` instances (dynamic or non-dynamic)
   to Python 3.5-3.6 ([PR #350](https://github.com/cloudpipe/cloudpickle/pull/350))
 
+- Add support for pickling dynamic generics on 3.7+
+  ([PR #351](https://github.com/cloudpipe/cloudpickle/pull/351))
+
 1.3.0
 =====
 

cloudpickle/cloudpickle.py

@@ -446,7 +446,7 @@ def dump(self, obj):
                 raise
 
     def save_typevar(self, obj):
-        self.save_reduce(*_typevar_reduce(obj))
+        self.save_reduce(*_typevar_reduce(obj), obj=obj)
 
     dispatch[typing.TypeVar] = save_typevar
 
@@ -645,7 +645,7 @@ def save_dynamic_class(self, obj):
             # "Regular" class definition:
             tp = type(obj)
             self.save_reduce(_make_skeleton_class,
-                             (tp, obj.__name__, obj.__bases__, type_kwargs,
+                             (tp, obj.__name__, _get_bases(obj), type_kwargs,
                               _ensure_tracking(obj), None),
                              obj=obj)
 
@@ -1163,7 +1163,10 @@ class id will also reuse this class definition.
     The "extra" variable is meant to be a dict (or None) that can be used for
     forward compatibility shall the need arise.
     """
-    skeleton_class = type_constructor(name, bases, type_kwargs)
+    skeleton_class = types.new_class(
+        name, bases, {'metaclass': type_constructor},
+        lambda ns: ns.update(type_kwargs)
+    )
     return _lookup_class_or_track(class_tracker_id, skeleton_class)
 
 
@@ -1268,3 +1271,13 @@ def _typevar_reduce(obj):
     if module_and_name is None:
         return (_make_typevar, _decompose_typevar(obj))
     return (getattr, module_and_name)
+
+
+def _get_bases(typ):
+    if hasattr(typ, '__orig_bases__'):
+        # For generic types (see PEP 560)
+        bases_attr = '__orig_bases__'
+    else:
+        # For regular class objects
+        bases_attr = '__bases__'
+    return getattr(typ, bases_attr)

cloudpickle/cloudpickle_fast.py

@@ -28,7 +28,7 @@
     _is_dynamic, _extract_code_globals, _BUILTIN_TYPE_NAMES, DEFAULT_PROTOCOL,
     _find_imported_submodules, _get_cell_contents, _is_importable_by_name, _builtin_type,
     Enum, _ensure_tracking,  _make_skeleton_class, _make_skeleton_enum,
-    _extract_class_dict, dynamic_subimport, subimport, _typevar_reduce,
+    _extract_class_dict, dynamic_subimport, subimport, _typevar_reduce, _get_bases,
 )
 
 load, loads = _pickle.load, _pickle.loads
@@ -76,7 +76,7 @@ def _class_getnewargs(obj):
     if isinstance(__dict__, property):
         type_kwargs['__dict__'] = __dict__
 
-    return (type(obj), obj.__name__, obj.__bases__, type_kwargs,
+    return (type(obj), obj.__name__, _get_bases(obj), type_kwargs,
             _ensure_tracking(obj), None)
 
 

tests/cloudpickle_test.py

@@ -50,6 +50,7 @@
 
 from .testutils import subprocess_pickle_echo
 from .testutils import assert_run_python_script
+from .testutils import subprocess_worker
 
 
 _TEST_GLOBAL_VARIABLE = "default_value"
@@ -2121,6 +2122,12 @@ def test_pickle_dynamic_typevar(self):
         for attr in attr_list:
             assert getattr(T, attr) == getattr(depickled_T, attr)
 
+    def test_pickle_dynamic_typevar_memoization(self):
+        T = typing.TypeVar('T')
+        depickled_T1, depickled_T2 = pickle_depickle((T, T),
+                                                     protocol=self.protocol)
+        assert depickled_T1 is depickled_T2
+
     def test_pickle_importable_typevar(self):
         from .mypkg import T
         T1 = pickle_depickle(T, protocol=self.protocol)
@@ -2130,6 +2137,38 @@ def test_pickle_importable_typevar(self):
         from typing import AnyStr
         assert AnyStr is pickle_depickle(AnyStr, protocol=self.protocol)
 
+    @unittest.skipIf(sys.version_info < (3, 7),
+                     "Pickling generics not supported below py37")
+    def test_generic_type(self):
+        for obj in _generic_objects_to_test():
+            pickle_depickle(obj, protocol=self.protocol)
+
+    @unittest.skipIf(sys.version_info < (3, 7),
+                     "Pickling type hints not supported below py37")
+    def test_locally_defined_class_with_type_hints(self):
+        with subprocess_worker(protocol=self.protocol) as worker:
+            for type_ in _generic_objects_to_test():
+                # The type annotation syntax causes a SyntaxError on Python 3.5
+                code = textwrap.dedent("""\
+                class MyClass:
+                    attribute: type_
+
+                    def method(self, arg: type_) -> type_:
+                        return arg
+                """)
+                ns = {"type_": type_}
+                exec(code, ns)
+                MyClass = ns["MyClass"]
+
+                def check_annotations(obj, expected_type):
+                    assert obj.__annotations__["attribute"] is expected_type
+                    assert obj.method.__annotations__["arg"] is expected_type
+                    return "ok"
+
+                obj = MyClass()
+                assert check_annotations(obj, type_) == "ok"
+                assert worker.run(check_annotations, obj, type_) == "ok"
+
 
 class Protocol2CloudPickleTest(CloudPickleTest):
 
@@ -2161,5 +2200,15 @@ def test_lookup_module_and_qualname_stdlib_typevar():
     assert name == 'AnyStr'
 
 
+def _generic_objects_to_test():
+    T = typing.TypeVar('T')
+
+    class C(typing.Generic[T]):
+        pass
+
+    yield C
+    yield C[int]
+
+
 if __name__ == '__main__':
     unittest.main()