Fixed minibug

src/conversion_scripts/convert_from_csv.py

@@ -90,7 +90,6 @@ def handle_switches(poses, supress=None):
             poses[t - 1] = np.nan
 
         if supress is None or t not in supress:
-
             distances = get_distances(poses[t], last_poses)
 
             switches = {}
@@ -101,7 +100,6 @@ def handle_switches(poses, supress=None):
             if len(switches) > 0 or np.any(
                 np.isnan(poses[t]) != np.isnan(poses[t - 1])
             ):
-
                 switch_distances = np.array(
                     [
                         get_distances(poses[t, con_perm], last_poses, diagonal=True)
@@ -124,7 +122,6 @@ def handle_switches(poses, supress=None):
 
                 if np.argmin(switch_distances_sum) != 0:
                     if distances_switched * 1.5 < distances_normal:
-
                         print(
                             f"Switch: {connections} distance sum\t{np.min(switch_distances_sum):.2f} vs\t{np.min(switch_distances_sum[0]):.2f}"
                         )
@@ -147,7 +144,6 @@ def handle_file(file, args):
     if args.columns_per_entity is None:
         all_col_types_matching = []
         for cols in range(1, len(pf.columns) // 2 + 1):
-
             dt = np.array(pf.dtypes, dtype=str)
             # print(dt)
 
@@ -262,8 +258,6 @@ def handle_file(file, args):
         if all_switches is not None:
             iof.attrs["switches"] = all_switches
 
-        iof.attrs["switches"] = all_switches
-
         # assert np.all(
         #     poses[np.logical_not(np.isnan(poses[:, 0])), 0] >= 0
         # ), f"Error: x coordinate is not positive, {np.min(poses[:, 0])}"