Merge branch 'develop' of https://github.com/explosion/spaCy into develop

spacy/tests/lang/en/test_lemmatizer.py

@@ -22,35 +22,37 @@ def test_doc_lemmatization(EN):
                                          ("ring", ["ring"]),
                                          ("axes", ["axis", "axe", "ax"])])
 def test_en_lemmatizer_noun_lemmas(en_lemmatizer, text, lemmas):
-    assert en_lemmatizer.noun(text) == set(lemmas)
+    assert en_lemmatizer.noun(text) == lemmas
 
 
 @pytest.mark.models('en')
 @pytest.mark.parametrize('text,lemmas', [("bleed", ["bleed"]),
                                          ("feed", ["feed"]),
                                          ("need", ["need"]),
-                                         ("ring", ["ring"]),
+                                         ("ring", ["ring"])])
-                                         ("axes", ["axis", "axe", "ax"])])
 def test_en_lemmatizer_noun_lemmas(en_lemmatizer, text, lemmas):
-    assert en_lemmatizer.noun(text) == set(lemmas)
+    # Cases like this are problematic -- not clear what we should do to resolve
+    # ambiguity?
+    # ("axes", ["ax", "axes", "axis"])])
+    assert en_lemmatizer.noun(text) == lemmas
 
 
 @pytest.mark.xfail
 @pytest.mark.models('en')
 def test_en_lemmatizer_base_forms(en_lemmatizer):
-    assert en_lemmatizer.noun('dive', {'number': 'sing'}) == set(['dive'])
+    assert en_lemmatizer.noun('dive', {'number': 'sing'}) == ['dive']
-    assert en_lemmatizer.noun('dive', {'number': 'plur'}) == set(['diva'])
+    assert en_lemmatizer.noun('dive', {'number': 'plur'}) == ['diva']
 
 
 @pytest.mark.models('en')
 def test_en_lemmatizer_base_form_verb(en_lemmatizer):
-    assert en_lemmatizer.verb('saw', {'verbform': 'past'}) == set(['see'])
+    assert en_lemmatizer.verb('saw', {'verbform': 'past'}) == ['see']
 
 
 @pytest.mark.models('en')
 def test_en_lemmatizer_punct(en_lemmatizer):
-    assert en_lemmatizer.punct('“') == set(['"'])
+    assert en_lemmatizer.punct('“') == ['"']
-    assert en_lemmatizer.punct('“') == set(['"'])
+    assert en_lemmatizer.punct('“') == ['"']
 
 
 @pytest.mark.models('en')

spacy/tests/regression/test_issue1488.py

@@ -0,0 +1,26 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+import regex as re
+from ...lang.en import English
+from ...tokenizer import Tokenizer
+
+
+def test_issue1488():
+    prefix_re = re.compile(r'''[\[\("']''')
+    suffix_re = re.compile(r'''[\]\)"']''')
+    infix_re = re.compile(r'''[-~\.]''')
+    simple_url_re = re.compile(r'''^https?://''')
+
+    def my_tokenizer(nlp):
+        return Tokenizer(nlp.vocab, {},
+                         prefix_search=prefix_re.search,
+                         suffix_search=suffix_re.search,
+                         infix_finditer=infix_re.finditer,
+                         token_match=simple_url_re.match)
+
+    nlp = English()
+    nlp.tokenizer = my_tokenizer(nlp)
+    doc = nlp("This is a test.")
+    for token in doc:
+        assert token.text

website/_includes/_scripts.jade

@@ -11,7 +11,7 @@ if environment == "deploy"
 
 script(src="/assets/js/vendor/prism.min.js")
 
-if SECTION == "models"
+if compare_models
     script(src="/assets/js/vendor/chart.min.js")
 
 script
@@ -58,7 +58,7 @@ if environment == "deploy"
             !=NavHighlighter
             !=GitHubEmbed
         if HAS_MODELS
-            !=ModeLoader
+            !=ModelLoader
         if compare_models
             !=ModelComparer
 else