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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 view_elt(token, dstore):
 """ Display the event loss table averaged by event """

    oq = dstore['oqparam']
    R = len(dstore['csm_info'].rlzs)
    dic = group_array(dstore['losses_by_event'].value, 'rlzi')
    header = oq.loss_dt().names
    tbl = []
    for rlzi in range(R):
        if rlzi in dic:
            tbl.append(dic[rlzi]['loss'].mean(axis=0))
        else:
            tbl.append([0.] * len(header))
    return rst_table(tbl, header)