code: def testAsDenseTypes(self, types_fn, classes_fn, expected_fn):
      types = types_fn()
      classes = classes_fn()
      expected = expected_fn()
      self.assertEqual(sparse.as_dense_types(types, classes), expected)
  
imports: import functools
  from absl.testing import parameterized
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import sparse
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the SparseTest obj's underlying member method code with example usage: obj.testAsDenseTypes(types_fn, classes_fn, expected_fn) without return types