code: def test_text_pretrain():
      pt = pretrain.Pretrain(
          vec_filename=f"{TEST_WORKING_DIR}/in/tiny_emb.txt",
          save_to_file=False,
      )
      check_pretrain(pt)
  
imports: import os
  import tempfile
  import pytest
  import numpy
  import torch
  from stanza.models.common import pretrain
  from stanza.models.common.vocab import UNK_ID
  from stanza.tests import *
label_desc: Use image node_id 4 for calling a global function with example usage: test_text_pretrain() without return types