human
Complete the below
def homogeneous_subsets(vals, dcrit):

    ''''recursively check all pairs of vals for minimum distance
    step down method as in Newman-Keuls and Ryan procedures. This is not a
    closed procedure since not all partitions are checked.
    Parameters
    vals : array_like
    values that are pairwise compared
    dcrit : array_like or float
    critical distance for rejecting, either float, or 2-dimensional array
    with distances on the upper triangle.
    Returns
    rejs : list of pairs
    list of pair-indices with (strictly) larger than critical difference
    nrejs : list of pairs
    list of pair-indices with smaller than critical difference
    lli : list of tuples
    list of subsets with smaller than critical difference
    res : tree
    result of all comparisons (for checking)
    this follows description in SPSS notes on Post-Hoc Tests
    Because of the recursive structure, some comparisons are made several
    times, but only unique pairs or sets are returned.
    Examples
    >>> m = [0, 2, 2.5, 3, 6, 8, 9, 9.5,10 ]
    >>> rej, nrej, ssli, res = homogeneous_subsets(m, 2)
    >>> set_partition(ssli)
    ([(5, 6, 7, 8), (1, 2, 3), (4,)], [0])
    >>> [np.array(m)[list(pp)] for pp in set_partition(ssli)[0]]
    [array([  8. ,   9. ,   9.5,  10. ]), array([ 2. ,  2.5,  3. ]), array([ 6.])]'
    '''
assistant
#Here is the Python program you requested.
    nvals = len(vals)
    indices_ = lrange(nvals)
    rejected = []
    subsetsli = []
    if (np.size(dcrit) == 1):
        dcrit = (dcrit * np.ones((nvals, nvals)))
    def subsets(vals, indices_):
        'recursive    function    for    constructing    homogeneous    subset\n\n                                registers    rejected    and    subsetli    in    outer    scope\n                                '
        (i, j) = (indices_[0], indices_[(-1)])
        if ((vals[(-1)] - vals[0]) > dcrit[(i, j)]):
            rejected.append((indices_[0], indices_[(-1)]))
            return [subsets(vals[:(-1)], indices_[:(-1)]), subsets(vals[1:], indices_[1:]), (indices_[0], indices_[(-1)])]
        else:
            subsetsli.append(tuple(indices_))
            return indices_
    res = subsets(vals, indices_)
    all_pairs = [(i, j) for i in range(nvals) for j in range((nvals - 1), i, (-1))]
    rejs = set(rejected)
    not_rejected = list((set(all_pairs) - rejs))
    return (list(rejs), not_rejected, list(set(subsetsli)), res)