anchor.diff:  +code.
       from spacy.matcher import Matcher
       from spacy.attrs import IS_PUNCT, LOWER
  -    
  +
       matcher = Matcher(nlp.vocab)
       matcher.add_pattern("HelloWorld", [{LOWER: "hello"}, {IS_PUNCT: True}, {LOWER: "world"}])
   
  
positive.code: +h(2, "quantifiers") Using quantifiers
  
  p
      | Token specifiers may have quantifiers attached to them, by setting the "OP" key
      | to one of the following values:
  
  +table([ "Name", "Description", "Example"])
      +row
  
negative.code:         +cell optional, max one
  
  p
      | Thus the following matcher will match "Hello, World" or "Hello world" or
      |  "Hello - - world":
  
  +code.
      matcher = Matcher(nlp.vocab)
      matcher.add_pattern("HelloWorld", [{LOWER: "hello"}, {IS_PUNCT: True, 'OP': '*'}, {LOWER: "world"}])
  