human
I wrote the below code

    def all_positive(table, key_colnames):
        colnames = [name for name in table.colnames if (name not in key_colnames)]
        for colname in colnames:
            if np.any((table[colname] < 0)):
                return False
        return True
    t = Table.read(['    a    c    d', '    -2    7.0    0', '    -2    5.0    1', '    0    0.0    4', '    1    3.0    5', '    1    2.0    -6', '    1    1.0    7', '    3    3.0    5', '    3    -2.0    6', '    3    1.0    7'], format='ascii')
    tg = t.group_by('a')
    t2 = tg.groups.filter(all_positive)
    assert (t2.groups[0].pformat() == ['    a            c            d    ', '---    ---    ---', '    -2    7.0            0', '    -2    5.0            1'])
    assert (t2.groups[1].pformat() == ['    a            c            d    ', '---    ---    ---', '        0    0.0            4'])

What's a good function header?

=====
Here's a good function header?
assistant
#Here's a good function header.

def test_table_filter():