code: def testDifferentKeys(self):
      input_components = {
          "foo": np.array([[1], [2], [3], [4]]),
          "bar": np.array([[12], [13], [14], [15]]),
      }
      to_concatenate_components = {
          "foo": np.array([[1], [2], [3], [4]]),
          "baz": np.array([[5], [6], [7], [8]]),
      }
  
      input_dataset = dataset_ops.Dataset.from_tensor_slices(
          input_components
      )
      dataset_to_concatenate = dataset_ops.Dataset.from_tensor_slices(
          to_concatenate_components
      )
  
      with self.assertRaisesRegex(
          TypeError, "Incompatible dataset elements"
      ):
          input_dataset.concatenate(dataset_to_concatenate)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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.data.ops import options
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the ConcatenateTest obj's underlying member method code with example usage: obj.testDifferentKeys() without return types