def METHOD_NAME(x: np.ndarray) -> np.ndarray:
    """Convert a time series to a valid time series for numba use.
    Parameters
    ----------
    x: np.ndarray (1d or 2d)
        A time series.
    Returns
    -------
    np.ndarray (2d array)
        2d array that is the formatted time series.
    Raises
    ------
    ValueError
        If the value provided is not a numpy array
        If the matrix provided is greater than 2 dimensions
    """
    if not isinstance(x, np.ndarray):
        raise ValueError(
            f"The value {x} is an invalid time series. To perform a"
            f"distance computation a numpy array must be provided."
        )
    _x = np.array(x, copy=True, dtype=float)
    num_dims = _x.ndim
    shape = _x.shape
    if num_dims == 1 or (num_dims == 2 and _x.shape[1] == 1 and _x.shape[0] != 1):
        _x = np.reshape(_x, (1, shape[0]))
    elif num_dims > 2:
        raise ValueError(
            "The matrix provided has more than 2 dimensions. This is not"
            "supported. Please provide a matrix with less than "
            "2 dimensions"
        )
    return _x