code: def testDenseNotMatchingShapeShouldFail(self):
      original = [
          example(
              features=features(
                  {
                      "a": float_feature([1, 1, 3]),
                  }
              )
          ),
          example(
              features=features(
                  {
                      "a": float_feature([-1, -1]),
                  }
              )
          ),
      ]
  
      serialized = [m.SerializeToString() for m in original]
  
      self._test(
          ops.convert_to_tensor(serialized),
          {"a": parsing_ops.FixedLenFeature((1, 3), dtypes.float32)},
          expected_err=(
              errors_impl.InvalidArgumentError,
              "Key: a, Index: 1.  Number of float values",
          ),
      )
  
imports: import copy
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  from tensorflow.python.data.experimental.ops import parsing_ops
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the ParseExampleDatasetTest obj's underlying member method code with example usage: obj.testDenseNotMatchingShapeShouldFail() without return types