              else:
                  paragraph_tuples = merge_sents(paragraph_tuples)
              docs = cls._make_docs(nlp, raw_text, paragraph_tuples,
                                    gold_preproc, noise_level=noise_level)
              golds = cls._make_golds(docs, paragraph_tuples)
              for doc, gold in zip(docs, golds):
                  if (not max_length) or len(doc) < max_length:
                      yield doc, gold
  
      @classmethod
 
</s> remove                        noise_level=0.0):
 </s> add                        noise_level=0.0, make_projective=False): </s> remove         max_length = max(5, min(50, min([len(doc) for doc in whole_docs])))
 </s> add         max_length = max(min_length, min(max_length, min([len(doc) for doc in whole_docs]))) </s> remove         gold_docs = self.iter_gold_docs(nlp, self.dev_tuples, gold_preproc)
 </s> add         gold_docs = self.iter_gold_docs(nlp, self.dev_tuples,
                                        gold_preproc=gold_preproc) </s> remove         for doc in stream:
            self(doc)
            yield doc
 </s> add         if as_tuples:
            for doc, context in stream:
                matches = self(doc)
                if return_matches:
                    yield ((doc, matches), context)
                else:
                    yield (doc, context)
        else:
            for doc in stream:
                matches = self(doc)
                if return_matches:
                    yield (doc, matches) 
                else:
                    yield doc </s> remove                                         noise_level=noise_level)
 </s> add                                         noise_level=noise_level,
                                        make_projective=True)
            golds = cls._make_golds(docs, paragraph_tuples, make_projective)
              else:
                  paragraph_tuples = merge_sents(paragraph_tuples)
              docs = cls._make_docs(nlp, raw_text, paragraph_tuples,
                                    gold_preproc, noise_level=noise_level)
            golds = cls._make_golds(docs, paragraph_tuples, make_projective)
              for doc, gold in zip(docs, golds):
                  if (not max_length) or len(doc) < max_length:
                      yield doc, gold
  
      @classmethod
keep keep keep keep replace keep keep keep keep keep
 Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop"

This reverts commit c9ba3d3c2dc7067cf8bd55f878cec45a8c6d73d4, reversing
changes made to 92c26a35d425d4e8ca1b805ea776ea10f5ded3df. 
spacy/gold.pyx