code: def testSparseCount(self):
      def _sparse(i):
          return sparse_tensor.SparseTensorValue(
              indices=np.array([[0, 0]]),
              values=(i * np.array([1])),
              dense_shape=np.array([1, 1]),
          )
  
      def make_scan_fn(step):
          return lambda state, _: (
              _sparse(state.values[0] + step),
              state,
          )
  
      def dataset_fn(start, step, take):
          return self._counting_dataset(
              _sparse(start), make_scan_fn(step)
          ).take(take)
  
      for start_val, step_val, take_val in [
          (0, 1, 10),
          (0, 1, 0),
          (10, 1, 10),
          (10, 2, 10),
          (10, -1, 10),
          (10, -2, 10),
      ]:
          next_element = self.getNext(
              dataset_fn(start_val, step_val, take_val)
          )
          for expected, _ in zip(
              itertools.count(start_val, step_val), range(take_val)
          ):
              self.assertEqual(
                  expected, self.evaluate(next_element()).values[0]
              )
          with self.assertRaises(errors.OutOfRangeError):
              self.evaluate(next_element())
  
imports: import itertools
  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.data.ops import options
  from tensorflow.python.data.ops import scan_op
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_v2_toggles
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the ScanTest obj's underlying member method code with example usage: obj.testSparseCount() and returns: sparse_tensor, function, self