text = u" LAC是个优秀的分词工具" 报错

text = u" LAC是个优秀的分词工具" 报错 输入有连续空格（或者tab出来的空格）报错，尽管用户可以自行对输入过滤，但实际情况总有可能会有这种情况出现，希望能有所处理。

from LAC import LAC

# 装载词语重要性模型
lac = LAC(mode='rank')

# 单个样本输入，输入为Unicode编码的字符串
text = u" LAC是个优秀的分词工具"
rank_result = lac.run(text)
---------------------------------------------------------------------------IndexError Traceback (most recent call last) in
6 # 单个样本输入，输入为Unicode编码的字符串
7 text = u" LAC是个优秀的分词工具"
----> 8 rank_result = lac.run(text)
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/LAC/lac.py in run(self, texts)
79 if mode=='rank', 返回分词,词性,词语重要性结果
80 """
---> 81 return self.model.run(texts)
82
83 def train(self, model_save_dir, train_data, test_data=None, iter_num=10, thread_num=10):
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/LAC/models.py in run(self, texts)
335
336 rank_decode = self.predictor.run([tensor_words, crf_decode[0]])
--> 337 weight = self.parse_result(tags_for_rank, rank_decode[0], words_length)
338
339 for _ in range(len(result)):
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/LAC/models.py in parse_result(self, tags_for_rank, result, words_length)
369 weight_out.append(weight[ind])
370 continue
--> 371 weight_out[-1] = max(weight_out[-1], weight[ind])
372
373 batch_out.append(weight_out)
IndexError: list index out of range

Reproduce the failure with LAC in rank mode using the shown input containing leading spaces or tabs. Start at LAC/lac.py run and follow the traceback into models.py run and parse_result; the work is done when this input is handled without IndexError and returns a ranking result.

Written by the indexing model from the issue text.