snapshot...

modules/icing/util.py

@@ -1190,14 +1190,6 @@ def run_icing_predict_image(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output
             probs_2d_dct[flvl] = fd_probs
 
         if (day_night == 'AUTO' or day_night == 'DAY') and num_day_tiles > 0:
-
-            # day_data_dct = {name: [] for name in day_train_params}
-            # for name in day_train_params:
-            #     for k in day_idxs:
-            #         day_data_dct[name].append(data_dct[name][k])
-            # day_grd_dct = {name: None for name in day_train_params}
-            # for ds_name in day_train_params:
-            #     day_grd_dct[ds_name] = np.stack(day_data_dct[ds_name])
             day_idxs = np.array(day_idxs)
             day_grd_dct = {name: None for name in day_train_params}
             for name in day_train_params:
@@ -1220,15 +1212,6 @@ def run_icing_predict_image(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', output
                 fd_probs[day_idxs] = day_probs[:]
 
         if (day_night == 'AUTO' or day_night == 'NIGHT') and num_nght_tiles > 0:
-
-            # nght_data_dct = {name: [] for name in nght_train_params}
-            # for name in nght_train_params:
-            #     for k in nght_idxs:
-            #         nght_data_dct[name].append(data_dct[name][k])
-            # nght_grd_dct = {name: None for name in nght_train_params}
-            # for ds_name in nght_train_params:
-            #     nght_grd_dct[ds_name] = np.stack(nght_data_dct[ds_name])
-
             nght_idxs = np.array(nght_idxs)
             nght_grd_dct = {name: None for name in nght_train_params}
             for name in nght_train_params: