code: def test_rnn_error(device_id):
      error, loss = train_sequence_classifier()
  
      expected_error = 0.333333
      expected_loss = 1.12
  
      assert np.allclose(error, expected_error, atol=TOLERANCE_ABSOLUTE)
      assert np.allclose(loss, expected_loss, atol=TOLERANCE_ABSOLUTE)
  
imports: import os
  import sys
  import numpy
  from simplernn import train_sequence_classifier
label_desc: Use image node_id 1 for calling a global function with example usage: test_rnn_error(device_id) without return types