code: def testDirectionNormalization(self):
      for direction in [[1, 2, 2], [0.1, 0.2, 0.2]]:
          scalarizer = multi_objective_scalarizer.HyperVolumeScalarizer(
              direction, self._hv_params
          )
          self.assertAllClose(
              self.evaluate(scalarizer(self._batch_multi_objectives)),
              self.evaluate(tf.constant([1.5, 6], 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 8 for calling the HyperVolumeScalarizerTest obj's underlying member method code with example usage: obj.testDirectionNormalization() without return types