def get_distance_between_data_cloud_center_and_potential_center(pdb_file):
    coor_file = Alanine_dipeptide().generate_coordinates_from_pdb_files(pdb_file)[0]
    temp_network = autoencoder.load_from_pkl_file(args.autoencoder_file)
    this_simulation_data = single_biased_simulation_data(temp_network, coor_file)
    offset = this_simulation_data.get_offset_between_potential_center_and_data_cloud_center(input_data_type)
    if layer_types[1] == "Circular":
        offset = [min(abs(item), abs(item + 2 * np.pi), abs(item - 2 * np.pi)) for item in offset]
        print("circular offset")
    print('offset = %s' % str(offset))
    distance = sqrt(sum([item * item for item in offset]))
    return distance