add non-parallel processing and set as default; fix colourbar

src/seismic_hazard_forecasting.py

@@ -439,22 +439,40 @@ verbose: {verbose}")
 
         PGA = np.zeros(shape=(nx * ny))
 
-        # use dask parallel computing
-        start = timer()
-        pbar = ProgressBar()
-        pbar.register()
-        # iter = range(0,len(distances))
-        iter = indices
-        iml_grid_raw = []  # raw ground motion grids
-        for imt in products:
-            logger.info(f"Estimating {imt}")
 
-            imls = [dask.delayed(compute_IMT_exceedance)(rx_lat[i], rx_lon[i], distances[i].flatten(), fr, p, lambdas,
+        start = timer()
-                                                         forecast_len, lambdas_perc, m_range, m_pdf, m_cdf, model,
+
-                                                         log_level=logging.DEBUG, imt=imt, IMT_min=0.0, IMT_max=2.0,
+        use_pp = False
-                                                         rx_label=i) for i in iter]
+
-            iml = dask.compute(*imls)
+        if use_pp:         # use dask parallel computing
-            iml_grid_raw.append(list(iml))
+            pbar = ProgressBar()
+            pbar.register()
+            # iter = range(0,len(distances))
+            iter = indices
+            iml_grid_raw = []  # raw ground motion grids
+            for imt in products:
+                logger.info(f"Estimating {imt}")
+
+                imls = [dask.delayed(compute_IMT_exceedance)(rx_lat[i], rx_lon[i], distances[i].flatten(), fr, p, lambdas,
+                                                            forecast_len, lambdas_perc, m_range, m_pdf, m_cdf, model,
+                                                            log_level=logging.DEBUG, imt=imt, IMT_min=0.0, IMT_max=2.0,
+                                                            rx_label=i, rtol=0.1, use_cython=False) for i in iter]
+                iml = dask.compute(*imls)
+                iml_grid_raw.append(list(iml))
+
+        else:
+            iml_grid_raw = []
+            iter = indices
+            for imt in products:
+                iml = []
+                for i in iter:
+                    iml_i = compute_IMT_exceedance(rx_lat[i], rx_lon[i], distances[i].flatten(), fr, p, lambdas, forecast_len, 
+                                                    lambdas_perc, m_range, m_pdf, m_cdf, model, imt=imt, IMT_min = 0.0,
+                                                    IMT_max = 2.0, rx_label = i, rtol = 0.1, use_cython=False)
+                    iml.append(iml_i)
+                    logger.info(f"Estimated {imt} at rx {i} is {iml_i}")
+                iml_grid_raw.append(iml)
+        
         end = timer()
         logger.info(f"Ground motion exceedance computation time: {round(end - start, 1)} seconds")
 
@@ -530,7 +548,7 @@ verbose: {verbose}")
             tick_positions = np.linspace(vmin, vmax, num_ticks)
             ax.set_yticks(tick_positions)
             ax.set_yticklabels([f"{tick:.2f}" for tick in tick_positions])  # format tick labels
-            ax.set_title(imt, pad=15)
+            ax.set_title(products[j], pad=15)
             fig.subplots_adjust(left=0.25, right=0.75, bottom=0.05, top=0.95)  # Adjust Layout
             fig.savefig("colorbar_" + str(j) + ".svg", bbox_inches='tight')
             plt.close(fig)