696128440973)

    Evaluate the function at one point for different orders by
    providing a list or NumPy array as argument for the `v` parameter:

    >>> kve([0, 1, 1.5], 1.)
    array([1.14446308, 1.63615349, 2.50662827])

    Evaluate the function at several points for order 0 by providing an
    array for `z`.

    >>> points = np.array([1., 3., 10.])
    >>> kve(0, points)
    array([1.14446308, 0.6977616 , 0.39163193])

    Evaluate the function at several points for different orders by
    providing arrays for both `v` for `z`. Both arrays have to be
    broadcastable to the correct shape. To calculate the orders 0, 1
    and 2 for a 1D array of points:

    >>> kve([[0], [1], [2]], points)
    array([[1.14446308, 0.6977616 , 0.39163193],
           [1.63615349, 0.80656348, 0.41076657],
           [4.41677005, 1.23547058, 0.47378525]])

    Plot the functions of order 0 to 3 from 0 to 5.

    >>> fig, ax = plt.subplots()
    >>> x = np.linspace(0., 5., 1000)
    >>> for i in range(4):
    ...     ax.plot(x, kve(i, x), label=fr'$K_{i!r}(z)\cdot e^z$')
    >>> ax.legend()
    >>> ax.set_xlabel(r"$z$")
    >>> ax.set_ylim(0, 4)
    >>> ax.set_xlim(0, 5)
    >>> plt.show()
    Ú