Fix output_spans with dict_combine fix: hankcs#1727

Author: hankcs

hanlp/components/tokenizers/transformer.py

@@ -202,7 +202,7 @@ def generate_prediction_filename(self, tst_data, save_dir):
 
     def prediction_to_human(self, pred, vocab, batch, rebuild_span=False):
         output_spans = self.config.get('output_spans', None)
-        tokens = self.spans_to_tokens(pred, batch, rebuild_span)
+        tokens = self.spans_to_tokens(pred, batch, rebuild_span or output_spans)
         if output_spans:
             subtoken_spans = batch['token_subtoken_offsets']
             results = []

hanlp/version.py

@@ -2,7 +2,7 @@
 # Author: hankcs
 # Date: 2019-12-28 19:26
 
-__version__ = '2.1.0-beta.26'
+__version__ = '2.1.0-beta.27'
 """HanLP version"""
 
 

tests/test_mtl.py

@@ -87,6 +87,25 @@ def test_transform(self):
         self.assertSequenceEqual(mtl("我的用户ID跟你的用户id不同", tasks=task)[task],
                                  ['我', '的', '用户ID', '跟', '你', '的', '用户', 'id', '不同'])
 
+    def test_tok_offset(self):
+        task = 'tok/fine'
+        tok = mtl[task]
+        tok.config.output_spans = True
+        tok.dict_force = None
+        tok.dict_combine = None
+        sent = '我先去看医生'
+
+        for t, b, e in mtl(sent, tasks=task)[task]:
+            self.assertEqual(t, sent[b:e])
+
+        tok.dict_combine = {'先去'}
+        for t, b, e in mtl(sent, tasks=task)[task]:
+            self.assertEqual(t, sent[b:e])
+
+        tok.config.output_spans = False
+        tok.dict_force = None
+        tok.dict_combine = None
+
 
 if __name__ == '__main__':
     unittest.main()