code: def test_insufficient_data(self):
      batch_size = 8
      steps_per_epoch = 6
      dataset_size = batch_size * (steps_per_epoch - 2)
      x = np.arange(dataset_size).reshape((dataset_size, 1))
      y = x * 2
      iterator = epoch_iterator.EpochIterator(
          x=x,
          y=y,
          batch_size=batch_size,
          steps_per_epoch=steps_per_epoch,
      )
      steps_seen = []
      for step, _ in iterator.enumerate_epoch():
          steps_seen.append(step)
      self.assertLen(steps_seen, steps_per_epoch - 2)
  
      self.assertIsInstance(iterator, epoch_iterator.EpochIterator)
      self.assertTrue(iterator._insufficient_data)
  
imports: import numpy
  import pytest
  import tensorflow
  from keras import backend
  from keras import testing
  from keras.trainers import data_adapters
  from keras.trainers import epoch_iterator
label_desc: Use image node_id 4 for calling the TestEpochIterator obj's underlying member method code with example usage: obj.test_insufficient_data() without return types