Work in progress.

* Test
 * More debugging
 * Base concept

naive-nlu/tree_nlu/tests/gac_100.py

@@ -91,6 +91,9 @@ examples = [
         "parsed": ("question",
                    ('perform-verb-over-object', 'computers', 'use', 'electricity')),
         "answer": True,
+        "after_execution": [(
+            lambda knowledge: print("->", knowledge.knowledge['computers'])
+        ),],
     }),
     # {
     #     "text": "The dominant language in france is french?",
@@ -665,11 +668,14 @@ base_knowledge = {
     'fly': {
         "groups": {'verb'},
     },
+    'computers': {
+        "groups": {'object'},
+    },
     'use': {
         "groups": {'verb'},
     },
     'electricity': {
-        "groups": {},
+        "groups": {'power'},
     },
 }
 
@@ -693,16 +699,17 @@ def main():
 
             show_progbar(i, total, data['text'])
             differences = knowledge.train([question])
+            print(differences())
 
             result, _, _ = knowledge.process(data['text'])
 
-            if result != data['answer']:
-                raise AssertionError('{} is not {}'.format(result, data['answer']))
-
             if "after_execution" in data:
                 for f in data["after_execution"]:
                     f(knowledge)
 
+            if result != data['answer']:
+                raise AssertionError('{} is not {}'.format(result, data['answer']))
+
         elif example_type == 'text_example':
             show_progbar(i, total, data['affirmation'])
             affirmation = data['affirmation']