content: from copy import deepcopy
  
  from whatlies import Embedding
  
  
  def new_embedding_dict(names_new, vectors_new, old_embset):
      new_embeddings = {}
      for k, v in zip(names_new, vectors_new):
          new_emb = (
              deepcopy(old_embset[k])
              if k in old_embset.embeddings.keys()
              else Embedding(k, v, orig=k)
          )
          new_emb.name = k
          new_emb.vector = v
          new_embeddings[k] = new_emb
      return new_embeddings
  