new_contents: from __future__ import unicode_literals
  import numpy
  from ...pipeline import Tagger
  from ...vectors import Vectors
  from ...vocab import Vocab
  from ..util import make_tempdir
  
  
  def test_issue1727():
      data = numpy.ones((3, 300), dtype='f')
      keys = [u'I', u'am', u'Matt']
      vectors = Vectors(data=data, keys=keys)
      tagger = Tagger(Vocab())
      tagger.add_label('PRP')
      tagger.begin_training()
  
      assert tagger.cfg.get('pretrained_dims', 0) == 0
      tagger.vocab.vectors = vectors
  
      with make_tempdir() as path:
          tagger.to_disk(path)
          tagger = Tagger(Vocab()).from_disk(path)
          assert tagger.cfg.get('pretrained_dims', 0) == 0
  
subject: Add test for #1727