code: def testDifferentType(self):
      input_components = (
          np.tile(np.array([[1], [2], [3], [4]]), 5),
          np.tile(np.array([[12], [13], [14], [15]]), 4),
      )
      to_concatenate_components = (
          np.tile(np.array([[1.0], [2.0], [3.0], [4.0]]), 5),
          np.tile(np.array([[12], [13], [14], [15]]), 15),
      )
  
      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 5 for calling the ConcatenateTest obj's underlying member method code with example usage: obj.testDifferentType() without return types