old_contents: import tensorflow as tf
  import GPflow
  from GPinv.param import MinibatchData
  import numpy as np
  import unittest
  
  class test_MinibatchData(unittest.TestCase):
      def test(self):
          rng = np.random.RandomState(0)
          N = 50
          n = 3
          minibatch_size = 5
          array = rng.randn(N,n)
          m = GPflow.Parameterized()
          d = MinibatchData(array, minibatch_size, 0)
          #TODO
  
  
  if __name__ == "__main__":
      unittest.main()
  
new_contents: import tensorflow as tf
  import GPflow
  from GPinv.param import MinibatchData
  import numpy as np
  import unittest
  
  class test_MinibatchData(unittest.TestCase):
      def test(self):
          rng = np.random.RandomState(0)
          N = 50
          n = 3
          minibatch_size = 5
          array = rng.randn(N,n)
          m = GPflow.param.Parameterized()
          d = MinibatchData(array, minibatch_size, 0)
          #TODO
  
  
  if __name__ == "__main__":
      unittest.main()
  
subject: test updated.