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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 summarize_taxa(biom):
 """ Given an abundance table, group the counts by every taxonomic level. """

    tamtcounts = defaultdict(int)
    tot_seqs = 0.0

    for row, col, amt in biom['data']:
        tot_seqs += amt
        rtax = biom['rows'][row]['metadata']['taxonomy']
        for i, t in enumerate(rtax):
            t = t.strip()
            if i == len(rtax)-1 and len(t) > 3 and len(rtax[-1]) > 3:
                t = 's__'+rtax[i-1].strip().split('_')[-1]+'_'+t.split('_')[-1]
            tamtcounts[t] += amt

    lvlData = {lvl: levelData(tamtcounts, tot_seqs, lvl) for lvl in ['k', 'p', 'c', 'o', 'f', 'g', 's']}

    return tot_seqs, lvlData