customisble labelstower : refactor test OUTPUT

dict keys are changed because of the customisable new behavior of
labelstower blueprint.

labelstower/getter.py

@@ -14,13 +14,13 @@ def get_selected_elements(id_mandatory_labels: int, id_forbiden_labels: str, num
     EXEMPLE
     -------
     >>> print(get_selected_elements("","",0)) # si aucun labels n'est interdit ou obligatoire
-    [{'id': 4, 'name': 'peugeot, 2000'}, {'id': 3, 'name': 'renault, 2000'}, {'id': 2, 'name': 'renault, bleu, 2000'}, {'id': 1, 'name': 'renault, rouge, 2000'}]
+    [{'id': 4, 'element_name': 'peugeot, 2000'}, {'id': 3, 'element_name': 'renault, 2000'}, {'id': 2, 'element_name': 'renault, bleu, 2000'}, {'id': 1, 'element_name': 'renault, rouge, 2000'}]
     >>> print(get_selected_elements("1,2","5,9",2)) # si la voiture doit-être bleu
-    [{'id': 4, 'name': 'peugeot, 2000'}]
+    [{'id': 4, 'element_name': 'peugeot, 2000'}]
     >>> print(get_selected_elements("5","",1))
-    [{'id': 3, 'name': 'renault, 2000'}, {'id': 2, 'name': 'renault, bleu, 2000'}, {'id': 1, 'name': 'renault, rouge, 2000'}]
+    [{'id': 3, 'element_name': 'renault, 2000'}, {'id': 2, 'element_name': 'renault, bleu, 2000'}, {'id': 1, 'element_name': 'renault, rouge, 2000'}]
     >>> print(get_selected_elements("","5",0))
-    [{'id': 4, 'name': 'peugeot, 2000'}]
+    [{'id': 4, 'element_name': 'peugeot, 2000'}]
     """
     #query slightly vary if number_of_mandatory_labels > 0 or not
     if(number_of_mandatory_labels):
@@ -84,7 +84,7 @@ def get_discriminating_labels(selected_elements: List[Dict[int, str]]) -> List[D
         EXEMPLE
         -------
         >>> get_discriminating_labels([{"id":2,"name":"renault, bleu, 2000"}, {"id":1,"name":"renault, rouge, 2000"}])
-        [{'id': 8, 'name': 'rouge'}, {'id': 9, 'name': 'bleu'}]
+        [{'id': 8, 'label_name': 'rouge'}, {'id': 9, 'label_name': 'bleu'}]
         >>> get_discriminating_labels([])
         []
     """
@@ -122,7 +122,7 @@ def get_high_discriminating_labels(discriminating_labels: List[Dict[int, str]])
         EXEMPLE
         -------
         >>> get_high_discriminating_labels([{"id":7, "name":"couleur"}, {"id":8, "name":"rouge"}, {"id":9, "name":"bleu"}])
-        [{'id': 7, 'name': 'couleur'}]
+        [{'id': 7, 'label_name': 'couleur'}]
     """
     id_discriminating_labels = get_ids(discriminating_labels)