old_contents: import numpy
  
  SPACY_MODELS = {}
  VECTORS = {}
  
  
  def get_spacy(lang, **kwargs):
      global SPACY_MODELS
      import spacy
      if lang not in SPACY_MODELS:
          SPACY_MODELS[lang] = spacy.load(lang, **kwargs)
      return SPACY_MODELS[lang]
  
  
  def get_vectors(ops, lang):
      global VECTORS
      key = (ops.device, lang)
      if key not in VECTORS:
          VECTORS[key] = nlp.vocab.vectors.data
      return VECTORS[key]
  
new_contents: import numpy
  
  SPACY_MODELS = {}
  VECTORS = {}
  
  
  def get_spacy(lang, **kwargs):
      global SPACY_MODELS
      import spacy
      if lang not in SPACY_MODELS:
          SPACY_MODELS[lang] = spacy.load(lang, **kwargs)
      return SPACY_MODELS[lang]
  
  
  def get_vectors(ops, lang):
      global VECTORS
      key = (ops.device, lang)
      if key not in VECTORS:
          nlp = get_spacy(lang)
          VECTORS[key] = nlp.vocab.vectors.data
      return VECTORS[key]
  
subject: Fix load vectors