Update src/seismic_hazard_forecasting.py

src/seismic_hazard_forecasting.py

@@ -130,7 +130,7 @@ def calc_rates(act_rate, cps):
           for i in range(len(boundaries)-1)]
     return rt, boundaries
 
-def apply_beast(act_rate, **kwargs):
+def apply_beast(act_rate, *args):
     """
     Applies BEAST to the smmothed rate data using different smoothing windows.
     Input
@@ -183,7 +183,7 @@ def apply_beast(act_rate, **kwargs):
 
     return beast_result, np.sort(cps)
 
-def bins_and_beast(dates, unit, bin_dur, multiplicator, **kwargs):
+def bins_and_beast(dates, unit, bin_dur, multiplicator, *args):
     start_date = dates.min()
     end_date = dates.max()
 
@@ -224,7 +224,7 @@ def bins_and_beast(dates, unit, bin_dur, multiplicator, **kwargs):
     act_rate = [count / ((bin_edges[i + 1] - bin_edges[i]) * multiplicator / bin_dur)
                 for i, count in enumerate(bin_counts)]
 
-    out, cps = apply_beast(act_rate, **kwargs)
+    out, cps = apply_beast(act_rate, *args)
 
     if len(cps) > 0:
         rt, boundaries = calc_rates(act_rate, cps)
@@ -617,7 +617,7 @@ verbose: {verbose}")
 
         #-------split the data into bins and apply BEAST for changepoint detection--------------------
         act_rate, bin_counts, bin_edges, bin_edges_dt, out, cps, rt, boundaries, bin_dur, time_unit = bins_and_beast(
-            np.array(datenum_data), time_unit, time_win_duration, multiplicator)
+            np.array(datenum_data), time_unit, time_win_duration, multiplicator, tcp_max, torder_min, torder_max)
         
         #------Forecasted rate is taken from BEAST or is equal to last value if no changepoints detected-----
         if len(cps) > 0: