human
What is a the Python program you requested given the following:
Complete the below
def golden(func, args=(), brack=None, tol=_epsilon, full_output=0, maxiter=5000):

    ''''Return the minimum of a function of one variable using golden section
    method.
    Given a function of one variable and a possible bracketing interval,
    return the minimum of the function isolated to a fractional precision of
    tol.
    Parameters
    func : callable func(x,*args)
    Objective function to minimize.
    args : tuple, optional
    Additional arguments (if present), passed to func.
    brack : tuple, optional
    Triple (a,b,c), where (a<b<c) and func(b) <
    func(a),func(c).  If bracket consists of two numbers (a,
    c), then they are assumed to be a starting interval for a
    downhill bracket search (see `bracket`).
it doesn\'t always
    mean that obtained solution will satisfy a<=x<=c.
    tol : float, optional
    x tolerance stop criterion
    full_output : bool, optional
    If True, return optional outputs.
    maxiter : int
    Maximum number of iterations to perform.
    See also
    minimize_scalar: Interface to minimization algorithms for scalar
    univariate functions. See the \'Golden\' `method` in particular.
    Notes
    Uses analog of bisection method to decrease the bracketed
    interval.
    Examples
    We illustrate the behaviour of the function when `brack` is of
    size 2 and 3 respectively. In the case where `brack` is of the
    form (xa,xb), we can see for the given values, the output need
    not necessarily lie in the range ``(xa, xb)``.
    >>> def f(x):
    ...     return x**2
    >>> from scipy import optimize
    >>> minimum = optimize.golden(f, brack=(1, 2))
    >>> minimum
    1.5717277788484873e-162
    >>> minimum = optimize.golden(f, brack=(-1, 0.5, 2))
    >>> minimum
    -1.5717277788484873e-162'
    '''
assistant
#Here is the Python program you requested.
    options = {'xtol': tol, 'maxiter': maxiter}
    res = _minimize_scalar_golden(func, brack, args, **options)
    if full_output:
        return (res['x'], res['fun'], res['nfev'])
    else:
        return res['x']