                  "type.",
                  show=verbose,
              )
          if has_ws_ents_error:
              msg.text(
                  "As of spaCy v2.1.0, entity spans consisting of or starting/ending "
                  "with whitespace characters are considered invalid."
              )
  
          if has_punct_ents_warning:
              msg.text(
                  "Entity spans consisting of or starting/ending "
                  "with punctuation can not be trained with a noise level > 0."
              )
  
 
</s> remove                 "with punctuation can not be trained with a noise level > 0."
 </s> add                 "with whitespace characters are considered invalid." </s> remove         if not has_punct_ents_warning:
            msg.good("No entities consisting of or starting/ending with punctuation")
 </s> add  </s> remove         if gold_train_data["punct_ents"]:
            msg.warn(f"{gold_train_data['punct_ents']} entity span(s) with punctuation")
            has_punct_ents_warning = True

 </s> add  </s> remove         As of spaCy v2.2.2, Matcher.add supports the future API, which makes
        the patterns the second argument and a list (instead of a variable
        number of arguments). The on_match callback becomes an optional keyword
        argument.
 </s> add         Since spaCy v2.2.2, Matcher.add takes a list of patterns as the second
        argument, and the on_match callback is an optional keyword argument. </s> remove         As of spaCy v2.2.2, PhraseMatcher.add supports the future API, which
        makes the patterns the second argument and a list (instead of a variable
        number of arguments). The on_match callback becomes an optional keyword
 </s> add         Since spaCy v2.2.2, PhraseMatcher.add takes a list of patterns as the
        second argument, with the on_match callback as an optional keyword
                  "type.",
                  show=verbose,
              )
          if has_ws_ents_error:






              msg.text(
                  "Entity spans consisting of or starting/ending "
                  "with punctuation can not be trained with a noise level > 0."
              )
  
keep keep keep keep replace replace replace replace replace replace keep keep keep keep keep
 Remove some old version refs in the docs (#9448)

* Remove some old version refs in the docs

* Remove warning

* Update spacy/matcher/matcher.pyx

* Remove all references to the punctuation warning

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> 
spacy/cli/debug_data.py