How to use the vcsi.vcsi.Grid function in vcsi

def test_grid_equality():
    g1 = Grid(4, 4)
    g2 = Grid(4, 4)
    assert_equals(g1, g2)

def test_grid_equality():
    g1 = Grid(4, 4)
    g2 = Grid(4, 4)
    assert_equals(g1, g2)

def mxn_type(string):
    """Type parser for argparse. Argument of type "mxn" will be converted to Grid(m, n).
    An exception will be thrown if the argument is not of the required form
    """
    try:
        split = string.split("x")
        assert (len(split) == 2)
        m = int(split[0])
        assert (m >= 0)
        n = int(split[1])
        assert (n >= 0)
        return Grid(m, n)
    except (IndexError, ValueError, AssertionError):
        error = "Grid must be of the form mxn, where m is the number of columns and n is the number of rows."
        raise argparse.ArgumentTypeError(error)

# manual frame selection
    if args.manual_timestamps is not None:
        mframes_size = len(args.manual_timestamps)

        args.num_selected = mframes_size
        args.num_samples = mframes_size
        args.num_groups = mframes_size

    if args.interval is not None or args.manual_timestamps is not None:
        square_side = math.ceil(math.sqrt(args.num_samples))

        if args.grid == DEFAULT_GRID_SIZE:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0 and args.grid.y == 0:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0:
            # y is fixed
            x = math.ceil(args.num_samples / args.grid.y)
            args.grid = Grid(x, args.grid.y)
        elif args.grid.y == 0:
            # x is fixed
            y = math.ceil(args.num_samples / args.grid.x)
            args.grid = Grid(args.grid.x, y)

    args.num_selected = args.grid.x * args.grid.y
    if args.num_samples is None:
        args.num_samples = args.num_selected

    if args.num_groups is None:
        args.num_groups = args.num_selected

args.num_selected = mframes_size
        args.num_samples = mframes_size
        args.num_groups = mframes_size

    if args.interval is not None or args.manual_timestamps is not None:
        square_side = math.ceil(math.sqrt(args.num_samples))

        if args.grid == DEFAULT_GRID_SIZE:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0 and args.grid.y == 0:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0:
            # y is fixed
            x = math.ceil(args.num_samples / args.grid.y)
            args.grid = Grid(x, args.grid.y)
        elif args.grid.y == 0:
            # x is fixed
            y = math.ceil(args.num_samples / args.grid.x)
            args.grid = Grid(args.grid.x, y)

    args.num_selected = args.grid.x * args.grid.y
    if args.num_samples is None:
        args.num_samples = args.num_selected

    if args.num_groups is None:
        args.num_groups = args.num_selected

    # make sure num_selected is not too large
    if args.interval is None and args.manual_timestamps is None:
        if args.num_selected > args.num_groups:
            args.num_groups = args.num_selected

if args.interval is not None or args.manual_timestamps is not None:
        square_side = math.ceil(math.sqrt(args.num_samples))

        if args.grid == DEFAULT_GRID_SIZE:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0 and args.grid.y == 0:
            args.grid = Grid(square_side, square_side)
        elif args.grid.x == 0:
            # y is fixed
            x = math.ceil(args.num_samples / args.grid.y)
            args.grid = Grid(x, args.grid.y)
        elif args.grid.y == 0:
            # x is fixed
            y = math.ceil(args.num_samples / args.grid.x)
            args.grid = Grid(args.grid.x, y)

    args.num_selected = args.grid.x * args.grid.y
    if args.num_samples is None:
        args.num_samples = args.num_selected

    if args.num_groups is None:
        args.num_groups = args.num_selected

    # make sure num_selected is not too large
    if args.interval is None and args.manual_timestamps is None:
        if args.num_selected > args.num_groups:
            args.num_groups = args.num_selected

        if args.num_selected > args.num_samples:
            args.num_samples = args.num_selected

DEFAULT_GRID_SPACING = None
DEFAULT_GRID_HORIZONTAL_SPACING = 5
DEFAULT_GRID_VERTICAL_SPACING = DEFAULT_GRID_HORIZONTAL_SPACING
DEFAULT_METADATA_POSITION = "top"
DEFAULT_METADATA_FONT_COLOR = "ffffff"
DEFAULT_BACKGROUND_COLOR = "000000"
DEFAULT_TIMESTAMP_FONT_COLOR = "ffffff"
DEFAULT_TIMESTAMP_BACKGROUND_COLOR = "000000aa"
DEFAULT_TIMESTAMP_BORDER_COLOR = "000000"
DEFAULT_TIMESTAMP_BORDER_SIZE = 1
DEFAULT_ACCURATE_DELAY_SECONDS = 1
DEFAULT_METADATA_MARGIN = 10
DEFAULT_METADATA_HORIZONTAL_MARGIN = DEFAULT_METADATA_MARGIN
DEFAULT_METADATA_VERTICAL_MARGIN = DEFAULT_METADATA_MARGIN
DEFAULT_CAPTURE_ALPHA = 255
DEFAULT_GRID_SIZE = Grid(4, 4)
DEFAULT_TIMESTAMP_HORIZONTAL_PADDING = 3
DEFAULT_TIMESTAMP_VERTICAL_PADDING = 1
DEFAULT_TIMESTAMP_HORIZONTAL_MARGIN = 5
DEFAULT_TIMESTAMP_VERTICAL_MARGIN = 5
DEFAULT_IMAGE_QUALITY = 100
DEFAULT_IMAGE_FORMAT = "jpg"
DEFAULT_TIMESTAMP_POSITION = TimestampPosition.se
DEFAULT_FRAME_TYPE = None
DEFAULT_INTERVAL = None


class Config:
    metadata_font_size = DEFAULT_METADATA_FONT_SIZE
    metadata_font = DEFAULT_METADATA_FONT
    timestamp_font_size = DEFAULT_TIMESTAMP_FONT_SIZE
    timestamp_font = DEFAULT_TIMESTAMP_FONT