code: def __next__(self):
      random_seed(12345 * self.i + 4321)
  
      def generate(dim):
          if self.as_tensor:
              shape = random_int(1, 10, [dim]).tolist()
              return random_array([self.batch_size] + shape)
          else:
              return [
                  random_array(random_int(1, 10, [dim]).tolist())
                  for _ in range(self.batch_size)
              ]
  
      if self.i < self.n:
          self.i += 1
          if isinstance(self.dims, (list, tuple)):
              return [generate(d) for d in self.dims]
          else:
              return generate(self.dims)
      else:
          self.i = 0
          raise StopIteration
  
imports: import functools
  import numpy
  import nvidia.dali.fn
  import nvidia.dali.ops
  from nvidia.dali import Pipeline
  from nose_utils import assert_raises
  from test_utils import check_output
label_desc: Use image node_id 4 for calling the TestIterator obj's underlying member method code with example usage: obj.__next__() and returns: random_array, unknown, unknown, generate