Try to find test that fails on appveyor

spacy/tests/test_matcher.py

@@ -26,73 +26,73 @@ def matcher(en_vocab):
     return matcher
 
 
-#def test_matcher_from_api_docs(en_vocab):
-#    matcher = Matcher(en_vocab)
-#    pattern = [{'ORTH': 'test'}]
-#    assert len(matcher) == 0
-#    matcher.add('Rule', None, pattern)
-#    assert len(matcher) == 1
-#    matcher.remove('Rule')
-#    assert 'Rule' not in matcher
-#    matcher.add('Rule', None, pattern)
-#    assert 'Rule' in matcher
-#    on_match, patterns = matcher.get('Rule')
-#    assert len(patterns[0])
-#
-#
-#def test_matcher_from_usage_docs(en_vocab):
-#    text = "Wow 😀 This is really cool! 😂 😂"
-#    doc = get_doc(en_vocab, words=text.split(' '))
-#    pos_emoji = [u'😀', u'😃', u'😂', u'🤣', u'😊', u'😍']
-#    pos_patterns = [[{'ORTH': emoji}] for emoji in pos_emoji]
-#
-#    def label_sentiment(matcher, doc, i, matches):
-#        match_id, start, end = matches[i]
-#        if doc.vocab.strings[match_id] == 'HAPPY':
-#            doc.sentiment += 0.1
-#        span = doc[start : end]
-#        token = span.merge()
-#        token.vocab[token.text].norm_ = 'happy emoji'
-#
-#    matcher = Matcher(en_vocab)
-#    matcher.add('HAPPY', label_sentiment, *pos_patterns)
-#    matches = matcher(doc)
-#    assert doc.sentiment != 0
-#    assert doc[1].norm_ == 'happy emoji'
-#
-#
-#@pytest.mark.parametrize('words', [["Some", "words"]])
-#def test_matcher_init(en_vocab, words):
-#    matcher = Matcher(en_vocab)
-#    doc = get_doc(en_vocab, words)
-#    assert len(matcher) == 0
-#    assert matcher(doc) == []
-#
-#
-#def test_matcher_contains(matcher):
-#    matcher.add('TEST', None, [{'ORTH': 'test'}])
-#    assert 'TEST' in matcher
-#    assert 'TEST2' not in matcher
-#
-#
-#def test_matcher_no_match(matcher):
-#    words = ["I", "like", "cheese", "."]
-#    doc = get_doc(matcher.vocab, words)
-#    assert matcher(doc) == []
-#
-#
-#def test_matcher_compile(en_vocab):
-#    rules = {
-#        'JS':        [[{'ORTH': 'JavaScript'}]],
-#        'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
-#        'Java':      [[{'LOWER': 'java'}]]
-#    }
-#    matcher = Matcher(en_vocab)
-#    for key, patterns in rules.items():
-#        matcher.add(key, None, *patterns)
-#    assert len(matcher) == 3
-#
-#
+def test_matcher_from_api_docs(en_vocab):
+    matcher = Matcher(en_vocab)
+    pattern = [{'ORTH': 'test'}]
+    assert len(matcher) == 0
+    matcher.add('Rule', None, pattern)
+    assert len(matcher) == 1
+    matcher.remove('Rule')
+    assert 'Rule' not in matcher
+    matcher.add('Rule', None, pattern)
+    assert 'Rule' in matcher
+    on_match, patterns = matcher.get('Rule')
+    assert len(patterns[0])
+
+
+def test_matcher_from_usage_docs(en_vocab):
+    text = "Wow 😀 This is really cool! 😂 😂"
+    doc = get_doc(en_vocab, words=text.split(' '))
+    pos_emoji = [u'😀', u'😃', u'😂', u'🤣', u'😊', u'😍']
+    pos_patterns = [[{'ORTH': emoji}] for emoji in pos_emoji]
+
+    def label_sentiment(matcher, doc, i, matches):
+        match_id, start, end = matches[i]
+        if doc.vocab.strings[match_id] == 'HAPPY':
+            doc.sentiment += 0.1
+        span = doc[start : end]
+        token = span.merge()
+        token.vocab[token.text].norm_ = 'happy emoji'
+
+    matcher = Matcher(en_vocab)
+    matcher.add('HAPPY', label_sentiment, *pos_patterns)
+    matches = matcher(doc)
+    assert doc.sentiment != 0
+    assert doc[1].norm_ == 'happy emoji'
+
+
+@pytest.mark.parametrize('words', [["Some", "words"]])
+def test_matcher_init(en_vocab, words):
+    matcher = Matcher(en_vocab)
+    doc = get_doc(en_vocab, words)
+    assert len(matcher) == 0
+    assert matcher(doc) == []
+
+
+def test_matcher_contains(matcher):
+    matcher.add('TEST', None, [{'ORTH': 'test'}])
+    assert 'TEST' in matcher
+    assert 'TEST2' not in matcher
+
+
+def test_matcher_no_match(matcher):
+    words = ["I", "like", "cheese", "."]
+    doc = get_doc(matcher.vocab, words)
+    assert matcher(doc) == []
+
+
+def test_matcher_compile(en_vocab):
+    rules = {
+        'JS':        [[{'ORTH': 'JavaScript'}]],
+        'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]],
+        'Java':      [[{'LOWER': 'java'}]]
+    }
+    matcher = Matcher(en_vocab)
+    for key, patterns in rules.items():
+        matcher.add(key, None, *patterns)
+    assert len(matcher) == 3
+
+
 #def test_matcher_match_start(matcher):
 #    words = ["JavaScript", "is", "good"]
 #    doc = get_doc(matcher.vocab, words)