broad error handling

raiss/windows.py

@@ -177,6 +177,7 @@ def impg_like_imputation(ld_file, ref_panel, zscore, window_size, buffer, lamb,
         zt = zscore.loc[known,'Z']
 
         if(len(known) > 0):
+            print("Imputation for window {0} - {1}".format(start_windows,end_windows ))
             imp = raiss_model(zt, sig_t, sig_i_t, lamb=lamb, rcond=rcond, batch=True)
             try:
                 batch_df = format_result_df(imp, ref_panel, known, unknowns)
@@ -191,8 +192,8 @@ def impg_like_imputation(ld_file, ref_panel, zscore, window_size, buffer, lamb,
                 print(batch_df)
                 batch_df_filt = batch_df.loc[(in_core_window & snp_well_predicted), zscore_results.columns]
                 zscore_results = pd.concat([zscore_results, batch_df_filt])
-            except (ValueError, KeyError) as e:
-                print("Inversion failed for window {0} - {1}".format())
+            except (ValueError, KeyError, TypeError) as e:
+                print("Inversion failed for window {0} - {1}".format(start_windows,end_windows ))
                 print("With error : {}".format(e))
         i = i+1
         print_progression(i, Nwindows)