Update src/seismic_hazard_forecasting.py

src/seismic_hazard_forecasting.py

@@ -341,7 +341,7 @@ def main(catalog_file, mc_file, pdf_file, m_file, m_select, mag_label, mc, m_max
     else:
         logger.setLevel(logging.INFO)
 
-    exclude_low_fxy = False # skip low probability areas of the map
+    exclude_low_fxy = True # skip low probability areas of the map
     thresh_fxy = 1e-3  # minimum fxy value (location PDF) needed to do PGA estimation (to skip low probability areas); also should scale according to number of grid points
 
 #    AOI_lat = np.array(AOI_extent[:2]) 
@@ -805,7 +805,7 @@ verbose: {verbose}")
         iml_grid = [[] for _ in range(len(products))]  # final ground motion grids
         iml_grid_prep = iml_grid.copy()  # temp ground motion grids
 
-        if use_AOI:
+        if use_AOI or exclude_low_fxy:
 
             for j in range(0, len(products)):
                 # Reassemble the grid cleanly using the original shape
@@ -819,21 +819,21 @@ verbose: {verbose}")
                 iml_grid_prep[j] = iml_grid_flat.reshape(grid_shape)
 
             
-            for i in indices:
-                if i in indices_filtered:
-                    for j in range(0, len(products)):
-                        iml_grid_prep[j].append(iml_grid_raw[j].pop(0))
-                else:
-                    list(map(lambda lst: lst.append(np.nan),
-                             iml_grid_prep))  # use np.nan to indicate grid point excluded
-        elif exclude_low_fxy:
-            for i in range(0, len(distances)):
-                if i in indices:
-                    for j in range(0, len(products)):
-                        iml_grid_prep[j].append(iml_grid_raw[j].pop(0))
-                else:
-                    list(map(lambda lst: lst.append(np.nan),
-                             iml_grid_prep))  # use np.nan to indicate grid point excluded
+            #for i in indices:
+            #   if i in indices_filtered:
+            #        for j in range(0, len(products)):
+            #            iml_grid_prep[j].append(iml_grid_raw[j].pop(0))
+            #    else:
+            #        list(map(lambda lst: lst.append(np.nan),
+            #                 iml_grid_prep))  # use np.nan to indicate grid point excluded
+        #elif exclude_low_fxy:
+        #    for i in range(0, len(distances)):
+        #        if i in indices:
+        #            for j in range(0, len(products)):
+        #                iml_grid_prep[j].append(iml_grid_raw[j].pop(0))
+        #        else:
+        #            list(map(lambda lst: lst.append(np.nan),
+        #                     iml_grid_prep))  # use np.nan to indicate grid point excluded
         else:
             iml_grid_prep = iml_grid_raw