human
Can you provide a Python code to find a fixed point of the function given the following:
Complete the below
def fixed_point(func, x0, args=(), xtol=1e-08, maxiter=500, method='del2'):

    ''''Find a fixed point of the function.
    Given a function of one or more variables and a starting point, find a
    fixed-point of the function: i.e. where ``func(x0) == x0``.
    Parameters
    func : function
    Function to evaluate.
    x0 : array_like
    Fixed point of function.
    args : tuple, optional
    Extra arguments to `func`.
    xtol : float, optional
    Convergence tolerance, defaults to 1e-08.
    maxiter : int, optional
    Maximum number of iterations, defaults to 500.
    method : {"del2", "iteration"}, optional
    Method of finding the fixed-point, defaults to "del2"
    which uses Steffensen\'s Method with Aitken\'s ``Del^2``
    convergence acceleration [1]_. The "iteration" method simply iterates
    the function until convergence is detected, without attempting to
    accelerate the convergence.
    References
    .. [1] Burden, Faires, "Numerical Analysis", 5th edition, pg. 80
    Examples
    >>> from scipy import optimize
    >>> def func(x, c1, c2):
    ...    return np.sqrt(c1/(x+c2))
    >>> c1 = np.array([10,12.])
    >>> c2 = np.array([3, 5.])
    >>> optimize.fixed_point(func, [1.2, 1.3], args=(c1,c2))
    array([ 1.4920333 ,  1.37228132])'
    '''
assistant
#Here is Python code to find a fixed point of the function.
    use_accel = {'del2': True, 'iteration': False}[method]
    x0 = _asarray_validated(x0, as_inexact=True)
    return _fixed_point_helper(func, x0, args, xtol, maxiter, use_accel)