Refactoring to avoid AttributeError in _make_rule

Author: Nora-Khalil

rmgpy/data/kinetics/family.py

@@ -4613,18 +4613,23 @@ def _make_rule(rr):
     if n > 1:
         kin = arr().fit_to_reactions(rs, recipe=recipe)
     if n == 1 or kin.E0.value_si < 0.0 or abs(kin.n.value_si) > 5.0:
-        # still run it through the averaging function when n=1 to standardize the units and run checks
-        kin = average_kinetics([r.kinetics for r in rs])
-        #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n)
-        if n == 1:
-            kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
-        else:
+        
+        if n > 1: #we have an ArrheniusBM
             if kin.E0.value_si < 0.0:
                 reason = "E0<0"
             elif abs(kin.n.value_si) > 5.0:
                 reason = "abs(n)>5"
             else:
                 reason = "?"
+        
+        # still run it through the averaging function when n=1 to standardize the units and run checks
+        kin = average_kinetics([r.kinetics for r in rs])
+        
+        if n == 1:
+
+            kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
+        else:
+            
             kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions."
             dlnks = np.array([
                 np.log(