Attempt to improve tuple unpackings

jedi/inference/syntax_tree.py

@@ -865,10 +865,16 @@ def check_tuple_assignments(name, value_set):
             # For no star unpacking is not possible.
             return NO_VALUES
         i = 0
+        lazy_value = None
         while i <= index:
             try:
                 lazy_value = next(iterated)
             except StopIteration:
+                # A desperate attempt to fix inference for tuples from an
+                # iterator.
+                if lazy_value is not None:
+                    return lazy_value.infer()
+
                 # We could do this with the default param in next. But this
                 # would allow this loop to run for a very long time if the
                 # index number is high. Therefore break if the loop is

jedi/inference/value/instance.py

@@ -155,8 +155,9 @@ class AbstractInstanceValue(Value):
             return super().py__iter__(contextualized_node)
 
         def iterate():
-            for generator in self.execute_function_slots(iter_slot_names):
-                yield from generator.py__next__(contextualized_node)
+            yield LazyKnownValues(
+                self.execute_function_slots(iter_slot_names).py__next__(contextualized_node).infer()
+            )
         return iterate()
 
     def __repr__(self):

test/completion/arrays.py

@@ -207,16 +207,16 @@ C().a
 (f, g) = (1,)
 #? int()
 f
-#? []
-g.
+#? int()
+g
 
 (f, g, h) = (1,'')
 #? int()
 f
 #? str()
 g
-#? []
-h.
+#? str()
+h
 
 (f1, g1) = 1
 #? []
@@ -311,9 +311,13 @@ for x in {1: 3.0, '': 1j}:
 dict().values().__iter__
 
 d = dict(a=3, b='')
-x, = d.values()
+x, y, z = d.values()
 #? int() str()
 x
+#? int() str()
+y
+#? int() str()
+z
 #? int()
 d['a']
 #? int() str() None