..

qurator/eynollah/eynollah.py

@@ -1677,7 +1677,7 @@ class Eynollah:
                     cy_biggest_d_last5 = cy_biggest_d[-5:]
                     dists_d = [math.sqrt((cx_bigest_big[0] - cx_bigest_d_last5[j]) ** 2 + (cy_biggest_big[0] - cy_biggest_d_last5[j]) ** 2) for j in range(len(cy_biggest_d_last5))]
                     ind_largest = len(cx_bigest_d) -5 + np.argmin(dists_d)
-                 else:
+                else:
                     cx_bigest_d_last5 = cx_bigest_d[-len(cx_bigest_d):]
                     cy_biggest_d_last5 = cy_biggest_d[-len(cx_bigest_d):]
                     dists_d = [math.sqrt((cx_bigest_big[0]-cx_bigest_d_last5[j])**2 + (cy_biggest_big[0]-cy_biggest_d_last5[j])**2) for j in range(len(cy_biggest_d_last5))]

qurator/eynollah/utils/__init__.py

@@ -2161,7 +2161,7 @@ def return_boxes_of_images_by_order_of_reading_new(splitter_y_new, regions_witho
                     for dj in range(len(x_starting)):
                         if set( list(np.array(range(x_starting[dj],x_ending[dj])) ) ) == set(all_columns):
                             pass
-                         else:
+                        else:
                             columns_covered_by_lines_covered_more_than_2col=columns_covered_by_lines_covered_more_than_2col+list(np.array(range(x_starting[dj],x_ending[dj])) )
                     columns_covered_by_lines_covered_more_than_2col=list(set(columns_covered_by_lines_covered_more_than_2col))