code: def testSetParameters(self):
      # batch_size = 3, num_actions = 4.
      self._scalarizer.set_parameters(
          tf.constant(
              [
                  [0.1, 0.2, 0.3, -0.1],
                  [-0.1, 0.2, 0.3, 0.1],
                  [0.1, -0.2, 0.3, 0.1],
              ],
              dtype=tf.float32,
          )
      )
      self.assertAllClose(
          self.evaluate(self._scalarizer(self._batch_multi_objectives)),
          self.evaluate(tf.constant([1, 3.6, -1], 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 6 for calling the LinearScalarizerTest obj's underlying member method code with example usage: obj.testSetParameters() without return types