code: def test(self, verify_fn):
      slices = [
          [1.0, 2.0, 3.0],
          [1.0],
          [1.0],
          [1.0, 2.0],
          [],
          [1.0, 2.0],
          [],
          [],
          [],
      ]
  
      verify_fn(
          self,
          lambda: self._build_sparse_tensor_slice_dataset(slices),
          num_outputs=9,
          sparse_tensors=True,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the FromSparseTensorSlicesCheckpointTest obj's underlying member method code with example usage: obj.test(verify_fn) without return types