code: def _parse_spacy_kwargs(**kwargs):
      
      n_threads = kwargs.get('n_threads') or kwargs.get('num_threads')
      batch_size = kwargs.get('batch_size')
  
      if n_threads is None or n_threads is -1:
          n_threads = cpu_count() - 1
      if batch_size is None or batch_size is -1:
          batch_size = 1000
      return n_threads, batch_size
docs: Supported args include:
  
      Args:
          n_threads/num_threads: Number of threads to use. Uses num_cpus - 1 by default.
          batch_size: The number of texts to accumulate into a common working set before processing.
              (Default value: 1000)