              # Reshuffle the texts if texts were loaded from a file
              random.shuffle(texts)
  
  
  def make_update(model, docs, optimizer, drop=0.0, objective='cosine'):
      """Perform an update over a single batch of documents.
  
      docs (iterable): A batch of `Doc` objects.
      drop (float): The droput rate.
      optimizer (callable): An optimizer.
 
</s> remove     gradients = get_vectors_loss(model.ops, docs, predictions, objective)
 </s> add     loss, gradients = get_vectors_loss(model.ops, docs, predictions, objective) </s> remove     loss = float((gradients ** 2).sum())
    return loss
 </s> add     return float(loss) </s> remove     tracker = ProgressTracker()
 </s> add     tracker = ProgressTracker(frequency=10000) </s> remove             subword_features=True,
 </s> add             subword_features=True,  # Set to False for Chinese etc </s> remove     )  # Set to False for character models, e.g. Chinese
 </s> add     )
def make_update(model, docs, optimizer, drop=0.0, objective='L2'):
              # Reshuffle the texts if texts were loaded from a file
              random.shuffle(texts)
  
  
def make_update(model, docs, optimizer, drop=0.0, objective='L2'):
      """Perform an update over a single batch of documents.
  
      docs (iterable): A batch of `Doc` objects.
      drop (float): The droput rate.
      optimizer (callable): An optimizer.
keep keep keep keep replace keep keep keep keep keep
 Remove unused code from spacy pretrain 
spacy/cli/pretrain.py