Fixed completions of global vars and tensorflow slowness, fixes #1228, …

…#1116

jedi/api/__init__.py

@@ -178,17 +178,22 @@ def completions(self):
         )
         completions = completion.completions()
 
-        import_completions_count = len([
-            c for c in completions
-            if not c._name.tree_name
-            or c._name.tree_name.get_definition().type in ('import_name', 'import_from')
-        ])
-        if import_completions_count > 10:
+        def iter_import_completions():
+            for c in completions:
+                tree_name = c._name.tree_name
+                if tree_name is None:
+                    continue
+                definition = tree_name.get_definition()
+                if definition is not None \
+                        and definition.type in ('import_name', 'import_from'):
+                    yield c
+
+        if len(list(iter_import_completions())) > 10:
             # For now disable completions if there's a lot of imports that
             # might potentially be resolved. This is the case for tensorflow
             # and has been fixed for it. This is obviously temporary until we
             # have a better solution.
-            self._evaluator.infer_enabled = True
+            self._evaluator.infer_enabled = False
 
         debug.speed('completions end')
         return completions

test/completion/basic.py

@@ -154,6 +154,9 @@ def global_define():
 #? int()
 global_var_in_func
 
+#? ['global_var_in_func']
+global_var_in_f
+
 
 def funct1():
     # From issue #610
@@ -175,6 +178,7 @@ def init_global_var_predefined():
 #? int() None
 global_var_predefined
 
+
 # -----------------
 # within docstrs
 # -----------------