human
Complete the below
def ensure_compat(dispatch, name, arg, func_kw=None, *args, **kwargs):

    ''''wrapper function to dispatch to the appropriate window functions
    wraps/unwraps ndarrays for compat
    can be removed when ndarray support is removed'
    '''
 What is a the Python code you requested?
assistant
#Here is the Python code you requested.
    is_ndarray = isinstance(arg, np.ndarray)
    if is_ndarray:
        if (arg.ndim == 1):
            arg = Series(arg)
        elif (arg.ndim == 2):
            arg = DataFrame(arg)
        else:
            raise AssertionError('cannot    support    ndim    >    2    for    ndarray    compat')
        warnings.warn('pd.{dispatch}_{name}    is    deprecated    for    ndarrays    and    will    be    removed    in    a    future    version'.format(dispatch=dispatch, name=name), FutureWarning, stacklevel=3)
    if (func_kw is None):
        func_kw = []
    kwds = {}
    for k in func_kw:
        value = kwargs.pop(k, None)
        if (value is not None):
            kwds[k] = value
    how = kwargs.pop('how', None)
    if (how is not None):
        kwds['how'] = how
    r = getattr(arg, dispatch)(**kwargs)
    if (not is_ndarray):
        pargs = ','.join(['{a}={b}'.format(a=a, b=b) for (a, b) in kwargs.items() if (b is not None)])
        aargs = ','.join(args)
        if len(aargs):
            aargs += ','
        def f(a, b):
            if is_scalar(b):
                return '{a}={b}'.format(a=a, b=b)
            return '{a}=<{b}>'.format(a=a, b=type(b).__name__)
        aargs = ','.join([f(a, b) for (a, b) in kwds.items() if (b is not None)])
        warnings.warn('pd.{dispatch}_{name}    is    deprecated    for    {klass}    and    will    be    removed    in    a    future    version,    replace    with    \n DCTB {klass}.{dispatch}({pargs}).{name}({aargs})'.format(klass=type(arg).__name__, pargs=pargs, aargs=aargs, dispatch=dispatch, name=name), FutureWarning, stacklevel=3)
    result = getattr(r, name)(*args, **kwds)
    if is_ndarray:
        result = result.values
    return result