code: def test_simple_gru_sequence_classification(self):
      accuracy = self.train_gru(self.data)
      self.assertGreaterEqual(accuracy, 0.8)
  
imports: import numpy
  import tensorflow
  from sklearn.model_selection import train_test_split
  from neupy.datasets import reber
  from neupy.utils import asfloat, tensorflow_session
  from neupy.exceptions import LayerConnectionError
  from neupy.layers.recurrent import clip_gradient
  from neupy import layers, algorithms, init
  from base import BaseTestCase
label_desc: Use image node_id 3 for calling the GRUTestCase obj's underlying member method code with example usage: obj.test_simple_gru_sequence_classification() without return types