code: def testSerializedContainingDenseWithDefaults(self):
      original = [
          example(
              features=features(
                  {
                      "a": float_feature([1, 1]),
                  }
              )
          ),
          example(
              features=features(
                  {
                      "b": bytes_feature([b"b1"]),
                  }
              )
          ),
          example(features=features({"b": feature()})),
      ]
  
      # pylint: disable=too-many-function-args
      expected_outputs = [
          {
              "a": np.array([1, 1], dtype=np.float32).reshape(1, 2, 1),
              "b": np.array("tmp_str", dtype=bytes).reshape(1, 1, 1, 1),
          },
          {
              "a": np.array([3, -3], dtype=np.float32).reshape(1, 2, 1),
              "b": np.array("b1", dtype=bytes).reshape(1, 1, 1, 1),
          },
          {
              "a": np.array([3, -3], dtype=np.float32).reshape(1, 2, 1),
              "b": np.array("tmp_str", dtype=bytes).reshape(1, 1, 1, 1),
          },
      ]
      # pylint: enable=too-many-function-args
  
      for proto, expected_output in zip(original, expected_outputs):
          self._test(
              {
                  "serialized": ops.convert_to_tensor(
                      proto.SerializeToString()
                  ),
                  "features": {
                      "a": parsing_ops.FixedLenFeature(
                          (1, 2, 1),
                          dtype=dtypes.float32,
                          default_value=[3.0, -3.0],
                      ),
                      "b": parsing_ops.FixedLenFeature(
                          (1, 1, 1, 1),
                          dtype=dtypes.string,
                          default_value="tmp_str",
                      ),
                  },
              },
              expected_output,
          )
  
imports: import itertools
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.example import feature_pb2
  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_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 13 for calling the ParseExampleTest obj's underlying member method code with example usage: obj.testSerializedContainingDenseWithDefaults() without return types