code: def testWithInvalidShape(self):
      input_tensor = array_ops.constant([[1]])
      with self.assertRaisesRegex(
          ValueError, "Dimension -2 must be >= 0"
      ):
          dataset_ops.Dataset.from_tensors(input_tensor).apply(
              batching.dense_to_sparse_batch(4, [-2])
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import batching
  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 errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the DenseToSparseBatchTest obj's underlying member method code with example usage: obj.testWithInvalidShape() without return types