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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def find_ribosomal(rps, scaffolds, s2rp, min_hits, max_hits_rp, max_errors):
 """ determine which hits represent real ribosomal proteins, identify each in syntenic block max_hits_rp = maximum number of hits to consider per ribosomal protein per scaffold """

    for scaffold, proteins in list(s2rp.items()):
        # for each scaffold, get best hits for each rp
        hits = {p: [i for i in sorted(hits, key = itemgetter(10))][0:max_hits_rp]
            for p, hits in list(proteins.items()) if len(hits) > 0}
        # skip if fewer than min_hits RPs are identified
        if len(hits) < min_hits:
            continue
        best = sorted([hit[0] + [p]
            for p, hit in list(hits.items())], key = itemgetter(10))[0]
        block = find_block(rps, scaffolds[scaffold], hits, best, max_errors)
        if (len(block) - 1) >= min_hits:
            yield scaffold, block