anchor.diff:          +cell optional, max one
   
   p
  -    | Thus the following matcher will match "Hello, World" or "Hello world" or "Hello - - world":
  -    
  +    | 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"}])
  
positive.code: +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"}])
  
  
negative.code: +h(2, "quantifiers") Using quantifiers
  
  p
      | Token specifiers may have quantifiers attached to them, by setting the
      |  #[code "OP"] key to one of the following values:
  
  +table([ "Name", "Description", "Example"])
      +row
  