code: def testBadDefault(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "default_value should be a scalar",
      ):
          self.evaluate(
              sparse_ops.sparse_to_dense([1, 3], [5], [1, 2], [0])
          )
  
imports: from absl.testing import parameterized
  import numpy
  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 test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the SparseToDenseTest obj's underlying member method code with example usage: obj.testBadDefault() without return types