print "%d ||| %s ||| %.4lf" % (i, tr, sc)
else:
print tree
parseval_time -= time.time()
all_pp += pp
parseval_time += time.time()
n, e = forest.size()
## print >> logs, "sent #%d %s, %d words, %d nodes, %d edges, decoded in %.2lf secs" % \
## (i+1, forest.tag, len(forest), n, e, this_time)
## print score, "\t", tree, "\n", fvector
if opts.verbose:
print >> logs, "bleu+1=%.4lf" % pp.score()
if opts.debug:
print >> logs, score, "\t", tree #, "\n", fvector
sum_score += score
print >> logs, "overall: %d sents. decode time in %.2lf secs (avg %.2lf secs per sent)" % \
(i+1, decoder.decode_time, decoder.decode_time / (i+1))
print >> logs, "overall: %d sents. parseval time in %.2lf secs (avg %.2lf secs per sent)" % \
(i+1, parseval_time, parseval_time / (i+1))
## print >> logs, all_pp
print >> logs, "overall bleu = %.4lf (%.2lf)" % all_pp.score_ratio() # overall bleu
print >> logs, "overall model-cost: %.4lf" % sum_score
rules = read_rules(opts.rules)
if opts.extrarules:
rules = read_rules(opts.extrarules, rules)
if forestline.strip() == "": ## empty forest (pure byline)
forestline = "(0<gt_prob:0> )"
f = forest_from_text(forestline)
# for bleu
fbleu = Bleu(refs=reflines)
srcline = srcline.split()
if srcline[0] == foreign_sentence_tag:
del srcline[0]
srcline = " ".join(srcline)
print f.dump(rules, \
i + opts.sentid, \
srcline, byline.strip(), reflines)
sys.stderr.write("t=%s read line %s\n" % (monitor.cpu(), i+1))
sys.stderr.flush()
if i % 10 == 9:
print >> logs, "overall 1-best bleu = %.4lf (%.2lf) score = %.4lf" \
% (onebestbleus.score_ratio() + (sum(onebestscores)/(i+1),))
for key in hopebleus:
print >> logs, "overall hope%s bleu = %.4lf (%.2lf) score = %.4lf" \
% (key, hopebleus[key].score_ratio() + (sum(hopescores[key])/(i+1),))