code: def testSparseElement(self):
      st = sparse_tensor.SparseTensor(
          indices=[(0, 0), (1, 1), (2, 2)],
          values=[1, 2, 3],
          dense_shape=(3, 3),
      )
      ds = dataset_ops.Dataset.from_tensor_slices(st)
      dt = sparse_ops.sparse_tensor_to_dense(st)
      self.assertAllEqual(list(ds.as_numpy_iterator()), dt.numpy())
  
imports: import collections
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import test
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
label_desc: Use image node_id 6 for calling the AsNumpyIteratorTest obj's underlying member method code with example usage: obj.testSparseElement() without return types