Split out clashes that were not grouped so they so up individually.

src/ifcclash/ifcclash.py

@@ -283,7 +283,9 @@ class IfcClasher:
                 continue
             clashes = clash_set["clashes"]
             if len(clashes) == 0:
+                print(f"Skipping clash set [{clash_set['name']}] since it contains no clash results.")
                 continue
+
             count_of_input_clashes += len(clashes)
 
             positions = []
@@ -307,7 +309,13 @@ class IfcClasher:
             if len(pred) == len(clashes.values()):
                 i = 0
                 for clash in clashes.values():
-                    clash["smart_group"] = int(pred[i])
+                    int_prediction = int(pred[i])
+                    if int_prediction == -1:
+                        # ungroup this clash since it's a single clash that we were not able to group.
+                        new_clash_group_number = np.amax(pred).item() + 1 + i
+                        clash["smart_group"] = new_clash_group_number
+                    else:
+                        clash["smart_group"] = int_prediction
                     i += 1
 
         # Create JSON with smart_groups that contain GlobalIDs