Use string values for attrs in Matcher docs

website/docs/api/matcher.jade

@@ -20,9 +20,8 @@ p Create the rule-based #[code Matcher].
 
 +aside-code("Example").
     from spacy.matcher import Matcher
-    from spacy.attrs import LOWER
 
-    patterns = {"HelloWorld": [{LOWER: "hello"}, {LOWER: "world"}]}
+    patterns = {'HelloWorld': [{'LOWER': 'hello'}, {'LOWER': 'world'}]}
     matcher = Matcher(nlp.vocab)
 
 +table(["Name", "Type", "Description"])
@@ -50,10 +49,9 @@ p Find all token sequences matching the supplied patterns on the #[code Doc].
 
 +aside-code("Example").
     from spacy.matcher import Matcher
-    from spacy.attrs import LOWER
 
     matcher = Matcher(nlp.vocab)
-    pattern = [{LOWER: "hello"}, {LOWER: "world"}]
+    pattern = [{'LOWER': "hello"}, {'LOWER': "world"}]
     matcher.add("HelloWorld", on_match=None, pattern)
     doc = nlp(u'hello world!')
     matches = matcher(doc)
@@ -129,7 +127,7 @@ p
 +aside-code("Example").
     matcher = Matcher(nlp.vocab)
     assert len(matcher) == 0
-    matcher.add('Rule', None, [{ORTH: 'test'}])
+    matcher.add('Rule', None, [{'ORTH': 'test'}])
     assert len(matcher) == 1
 
 +table(["Name", "Type", "Description"])
@@ -146,7 +144,7 @@ p Check whether the matcher contains rules for a match ID.
 +aside-code("Example").
     matcher = Matcher(nlp.vocab)
     assert 'Rule' in matcher == False
-    matcher.add('Rule', None, [{ORTH: 'test'}])
+    matcher.add('Rule', None, [{'ORTH': 'test'}])
     assert 'Rule' in matcher == True
 
 +table(["Name", "Type", "Description"])
@@ -175,8 +173,8 @@ p
         print('Matched!', matches)
 
     matcher = Matcher(nlp.vocab)
-    matcher.add('HelloWorld', on_match, [{LOWER: "hello"}, {LOWER: "world"}])
-    matcher.add('GoogleMaps', on_match, [{ORTH: "Google"}, {ORTH: "Maps"}])
+    matcher.add('HelloWorld', on_match, [{'LOWER': 'hello'}, {'LOWER': 'world'}])
+    matcher.add('GoogleMaps', on_match, [{'ORTH': 'Google'}, {'ORTH': 'Maps'}])
     doc = nlp(u'HELLO WORLD on Google Maps.')
     matches = matcher(doc)
 
@@ -208,7 +206,7 @@ p
     |  ID does not exist.
 
 +aside-code("Example").
-    matcher.add('Rule', None, [{ORTH: 'test'}])
+    matcher.add('Rule', None, [{'ORTH': 'test'}])
     assert 'Rule' in matcher == True
     matcher.remove('Rule')
     assert 'Rule' in matcher == False
@@ -228,7 +226,7 @@ p
     |  patterns.
 
 +aside-code("Example").
-    pattern = [{ORTH: 'test'}]
+    pattern = [{'ORTH': 'test'}]
     matcher.add('Rule', None, pattern)
     (on_match, patterns) = matcher.get('Rule')
     assert patterns = [pattern]

website/docs/usage/rule-based-matching.jade

@@ -30,7 +30,7 @@ p
         |  or "WORLD".
 
 +code.
-    [{LOWER: 'hello'}, {IS_PUNCT: True}, {LOWER: 'world'}]
+    [{'LOWER': 'hello'}, {'IS_PUNCT': True}, {'LOWER': 'world'}]
 
 p
     |  First, we initialise the #[code Matcher] with a vocab. The matcher must
@@ -43,13 +43,12 @@ p
 +code.
     import spacy
     from spacy.matcher import Matcher
-    from spacy.attrs import LOWER, IS_PUNCT # don't forget to import the attrs!
 
     nlp = spacy.load('en')
     matcher = Matcher(nlp.vocab)
     # add match ID "HelloWorld" with no callback and one pattern
     matcher.add('HelloWorld', on_match=None,
-                [{LOWER: 'hello'}, {IS_PUNCT: True}, {LOWER: 'world'}])
+                [{'LOWER': 'hello'}, {'IS_PUNCT': True}, {'LOWER': 'world'}])
 
     doc = nlp(u'Hello, world! Hello world!')
     matches = matcher(doc)
@@ -63,8 +62,8 @@ p
 
 +code.
     matcher.add('HelloWorld', on_match=None,
-                [{LOWER: 'hello'}, {IS_PUNCT: True}, {LOWER: 'world'}],
-                [{LOWER: 'hello'}, {LOWER: 'world'}])
+                [{'LOWER': 'hello'}, {'IS_PUNCT': True}, {'LOWER': 'world'}],
+                [{'LOWER': 'hello'}, {'LOWER': 'world'}])
 
 p
     |  By default, the matcher will only return the matches and
@@ -92,14 +91,13 @@ p
 +code.
     import spacy
     from spacy.matcher import Matcher
-    from spacy.attrs import ORTH, UPPER, LOWER, IS_DIGIT
 
     nlp = spacy.load('en')
     matcher = Matcher(nlp.vocab)
 
     matcher.add('GoogleIO', on_match=add_event_ent,
-                [{ORTH: 'Google'}, {UPPER: 'I'}, {ORTH: '/'}, {UPPER: 'O'}],
-                [{ORTH: 'Google'}, {UPPER: 'I'}, {ORTH: '/'}, {UPPER: 'O'}, {IS_DIGIT: True}])
+                [{'ORTH': 'Google'}, {'UPPER': 'I'}, {'ORTH': '/'}, {'UPPER': 'O'}],
+                [{'ORTH': 'Google'}, {'UPPER': 'I'}, {'ORTH': '/'}, {'UPPER': 'O'}, {'IS_DIGIT': True}])
 
     # Get the ID of the 'EVENT' entity type. This is required to set an entity.
     EVENT = nlp.vocab.strings['EVENT']
@@ -120,8 +118,8 @@ p
 
 +code.
     matcher.add('BAD_HTML', on_match=merge_and_flag,
-                [{ORTH: '<'}, {LOWER: 'br'}, {ORTH: '>'}],
-                [{ORTH: '<'}, {LOWER: 'br/'}, {ORTH: '>'}])
+                [{'ORTH': '<'}, {'LOWER': 'br'}, {'ORTH': '>'}],
+                [{'ORTH': '<'}, {'LOWER': 'br/'}, {'ORTH': '>'}])
 
     # Add a new custom flag to the vocab, which is always False by default.
     # BAD_HTML_FLAG will be the flag ID, which we can use to set it to True on the span.