human
I wrote the below code

    e2f = [tuple(map(int, a.split('-'))) for a in e2f.split()]
    f2e = [tuple(map(int, a.split('-'))) for a in f2e.split()]
    neighbors = [((-1), 0), (0, (-1)), (1, 0), (0, 1), ((-1), (-1)), ((-1), 1), (1, (-1)), (1, 1)]
    alignment = set(e2f).intersection(set(f2e))
    union = set(e2f).union(set(f2e))
    aligned = defaultdict(set)
    for (i, j) in alignment:
        aligned['e'].add(i)
        aligned['j'].add(j)
    def grow_diag():
        '\n                                Search    for    the    neighbor    points    and    them    to    the    intersected    alignment\n                                points    if    criteria    are    met.\n                                '
        prev_len = (len(alignment) - 1)
        while (prev_len < len(alignment)):
            for e in range(srclen):
                for f in range(trglen):
                    if ((e, f) in alignment):
                        for neighbor in neighbors:
                            neighbor = tuple(((i + j) for (i, j) in zip((e, f), neighbor)))
                            (e_new, f_new) = neighbor
                            if (((e_new not in aligned) and (f_new not in aligned)) and (neighbor in union)):
                                alignment.add(neighbor)
                                aligned['e'].add(e_new)
                                aligned['f'].add(f_new)
                                prev_len += 1
    def final_and(a):
        '\n                                Adds    remaining    points    that    are    not    in    the    intersection,    not    in    the    \n                                neighboring    alignments    but    in    the    original    *e2f*    and    *f2e*    alignments\n                                '
        for e_new in range(srclen):
            for f_new in range(trglen):
                if ((e_new not in aligned) and (f_new not in aligned) and ((e_new, f_new) in a)):
                    alignment.add((e_new, f_new))
                    aligned['e'].add(e_new)
                   ...

What's a good function header?

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

def grow_diag_final_and(srclen, trglen, e2f, f2e):