How to use the gudhi.pick_n_random_points function in gudhi

"--no-diagram",
    default=False,
    action="store_true",
    help="Flag for not to display the diagrams",
)

args = parser.parse_args()

with open(args.file, "r") as f:
    first_line = f.readline()
    if (first_line == "OFF\n") or (first_line == "nOFF\n"):
        print("#####################################################################")
        print("EuclideanStrongWitnessComplex creation from points read in a OFF file")

        witnesses = gudhi.read_off(off_file=args.file)
        landmarks = gudhi.pick_n_random_points(
            points=witnesses, nb_points=args.number_of_landmarks
        )

        message = (
            "EuclideanStrongWitnessComplex with max_edge_length="
            + repr(args.max_alpha_square)
            + " - Number of landmarks="
            + repr(args.number_of_landmarks)
        )
        print(message)

        witness_complex = gudhi.EuclideanStrongWitnessComplex(
            witnesses=witnesses, landmarks=landmarks
        )
        simplex_tree = witness_complex.create_simplex_tree(
            max_alpha_square=args.max_alpha_square, limit_dimension=args.limit_dimension

"--no-diagram",
    default=False,
    action="store_true",
    help="Flag for not to display the diagrams",
)

args = parser.parse_args()

with open(args.file, "r") as f:
    first_line = f.readline()
    if (first_line == "OFF\n") or (first_line == "nOFF\n"):
        print("#####################################################################")
        print("EuclideanWitnessComplex creation from points read in a OFF file")

        witnesses = gudhi.read_off(off_file=args.file)
        landmarks = gudhi.pick_n_random_points(
            points=witnesses, nb_points=args.number_of_landmarks
        )

        message = (
            "EuclideanWitnessComplex with max_edge_length="
            + repr(args.max_alpha_square)
            + " - Number of landmarks="
            + repr(args.number_of_landmarks)
        )
        print(message)

        witness_complex = gudhi.EuclideanWitnessComplex(
            witnesses=witnesses, landmarks=landmarks
        )
        simplex_tree = witness_complex.create_simplex_tree(
            max_alpha_square=args.max_alpha_square, limit_dimension=args.limit_dimension