Remove comments

probabilistic-analysis/probabilistic_assessment.py

@@ -230,10 +230,10 @@ def get_ongoing_recession(n_runs, start_year, end_year, sea_level_rise,
             slr[i, :] = np.ones([1, n_runs]) * slr_mode[i]
 
     # Sort each row, so SLR follows a smooth trajectory for each model run
-    slr.sort(axis=1)  # FIXME: re-assign variable?
+    slr.sort(axis=1)
 
     # Shuffle columns, so the order of model runs is randomised
-    np.random.shuffle(slr.T)  # FIXME: re-assign variable?
+    np.random.shuffle(slr.T)
 
     # Shift sea level so it is zero in the start year
     slr -= slr[0, :].mean(axis=0)