code: def testSetParametersOffsetWithWrongNumberOfObjectivesRaisesValueError(
      self,
  ):
      direction = [1, 0, 0]
      scalarizer = multi_objective_scalarizer.HyperVolumeScalarizer(
          direction, self._hv_params
      )
      with self.assertRaisesRegex(
          ValueError,
          "The number of objectives in scalarization parameter",
      ):
          scalarizer.set_parameters(
              direction=tf.constant([[0, 1, 0]] * 2, dtype=tf.float32),
              transform_params={
                  multi_objective_scalarizer.HyperVolumeScalarizer.OFFSET_KEY: (
                      tf.constant([[1, 2]] * 2, dtype=tf.float32)
                  )
              },
          )
  
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 20 for calling the HyperVolumeScalarizerTest obj's underlying member method code with example usage: obj.testSetParametersOffsetWithWrongNumberOfObjectivesRaisesValueError() without return types