Fix PhraseMatcher.__contains__ and add more tests

spacy/matcher.pyx

@@ -490,7 +490,7 @@ cdef class PhraseMatcher:
         RETURNS (bool): Whether the matcher contains rules for this match ID.
         """
         cdef hash_t ent_id = self.matcher._normalize_key(key)
-        return ent_id in self.phrase_ids
+        return ent_id in self._callbacks
 
     def __reduce__(self):
         return (self.__class__, (self.vocab,), None, None)

spacy/tests/test_matcher.py

@@ -64,6 +64,12 @@ def test_matcher_init(en_vocab, words):
     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)
@@ -112,7 +118,8 @@ def test_matcher_empty_dict(en_vocab):
     matcher.add('A.', None, [{'ORTH': 'a'}, {}])
     matches = matcher(doc)
     assert matches[0][1:] == (0, 2)
-
+
+
 def test_matcher_operator_shadow(en_vocab):
     matcher = Matcher(en_vocab)
     abc = ["a", "b", "c"]
@@ -123,7 +130,8 @@ def test_matcher_operator_shadow(en_vocab):
     matches = matcher(doc)
     assert len(matches) == 1
     assert matches[0][1:] == (0, 3)
-
+
+
 def test_matcher_phrase_matcher(en_vocab):
     words = ["Google", "Now"]
     doc = get_doc(en_vocab, words)
@@ -134,6 +142,22 @@ def test_matcher_phrase_matcher(en_vocab):
     assert len(matcher(doc)) == 1
 
 
+def test_phrase_matcher_length(en_vocab):
+    matcher = PhraseMatcher(en_vocab)
+    assert len(matcher) == 0
+    matcher.add('TEST', None, get_doc(en_vocab, ['test']))
+    assert len(matcher) == 1
+    matcher.add('TEST2', None, get_doc(en_vocab, ['test2']))
+    assert len(matcher) == 2
+
+
+def test_phrase_matcher_contains(en_vocab):
+    matcher = PhraseMatcher(en_vocab)
+    matcher.add('TEST', None, get_doc(en_vocab, ['test']))
+    assert 'TEST' in matcher
+    assert 'TEST2' not in matcher
+
+
 def test_matcher_match_zero(matcher):
     words1 = 'He said , " some words " ...'.split()
     words2 = 'He said , " some three words " ...'.split()