def setVocab(self, args):
vocab_name = "./datasets/vocab_{}.bin".format(args.dataname)
if os.path.exists(vocab_name):
src_vocab = Vocabulary.load(vocab_name)
else:
set_vocab = set()
[[set_vocab.add(word) for word in word_arr]
for word_arr in gens.word_list(args.train_source)]
n_vocab = len(set_vocab) + 3
print("n_vocab:{}".format(n_vocab))
print("arg_vocab:{}".format(args.n_vocab))
src_vocab = Vocabulary.new(
gens.word_list(args.train_source), args.n_vocab)
src_vocab.save(vocab_name)
self.vocab = src_vocab
return src_vocab
def getBatchGen_test(self, args, is_shuffle=True):
tt_now_list = [[self.vocab.stoi(char) for char in char_arr]
for char_arr in gens.word_list(args.test_source)]
ind_arr = list(range(len(tt_now_list)))
if is_shuffle:
random.shuffle(ind_arr)
tt_now = (tt_now_list[ind] for ind in ind_arr)
tt_gen = gens.batch(tt_now, args.test_batchsize)
for tt in tt_gen:
yield tt