code: def testCallSlopeWrongBatchSizeRaisesValueError(self):
      direction = [1, 0, 0]
      scalarizer = multi_objective_scalarizer.HyperVolumeScalarizer(
          direction, self._hv_params
      )
      with self.assertRaisesRegex(
          ValueError, "does not match the shape of"
      ):
          scalarizer.set_parameters(
              direction=tf.constant(
                  [[0, 1, 0], [1, 0, 0]], dtype=tf.float32
              ),
              transform_params={
                  multi_objective_scalarizer.HyperVolumeScalarizer.SLOPE_KEY: (
                      tf.constant(
                          [[1, 2, 1], [2, 1, 1], [1, 1, 2]],
                          dtype=tf.float32,
                      )
                  )
              },
          )
          self.evaluate(scalarizer(self._batch_multi_objectives))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import tensorflow.compat.v2
  from tf_agents.bandits.multi_objective import multi_objective_scalarizer
label_desc: Use image node_id 22 for calling the HyperVolumeScalarizerTest obj's underlying member method code with example usage: obj.testCallSlopeWrongBatchSizeRaisesValueError() without return types