Closed #77 fix package version for better compatibility

demo.py

@@ -137,6 +137,13 @@ class Test(unittest.TestCase):
     def test_badcase_1(self):
         synonyms.display("人脸")  # synonyms.display calls synonyms.nearby
 
+
+    def test_basecase_2(self):
+        print("test_basecase_2")
+        sen1 = "今天天气"
+        sen2 = "今天天气怎么样"
+        r = synonyms.compare(sen1, sen2, seg=True)
+
 def test():
     unittest.main()
 

setup.py

@@ -13,7 +13,7 @@ Welcome
 
 setup(
     name='synonyms',
-    version='3.10.0',
+    version='3.10.2',
     description='Chinese Synonyms for Natural Language Processing and Understanding',
     long_description=LONGDOC,
     author='Hai Liang Wang, Hu Ying Xi',
@@ -40,9 +40,9 @@ setup(
     install_requires=[
         'six>=1.11.0',
         'numpy>=1.13.1',
-        'scipy==1.0.0',
-        'scikit-learn==0.19.1',
-        'absl-py==0.1.10'
+        'scipy>=1.0.0',
+        'scikit-learn>=0.19.1',
+        'absl-py>=0.4'
     ],
     package_data={
         'synonyms': [

synonyms/synonyms.py

@@ -247,8 +247,10 @@ def _nearby_levenshtein_distance(s1, s2):
     
     scores = []
     for x in second:
-        scores.append(max([_levenshtein_distance(x, y) for y in ft]))
-    s = np.sum(scores) / maxlen
+        choices = [_levenshtein_distance(x, y) for y in ft]
+        if len(choices) > 0: scores.append(max(choices))
+
+    s = np.sum(scores) / maxlen if len(scores) > 0 else 0
     return s
 
 def _similarity_distance(s1, s2, ignore):
@@ -319,8 +321,8 @@ def compare(s1, s2, seg=True, ignore=False, stopwords=False):
     s2_words = []
 
     if seg:
-        s1 = [x for x in jieba.cut(s1)]
-        s2 = [x for x in jieba.cut(s2)]
+        s1 = [x for x in jieba.cut(s1, cut_all=False, HMM=False)]
+        s2 = [x for x in jieba.cut(s2, cut_all=False, HMM=False)]
     else:
         s1 = s1.split()
         s2 = s2.split()