code: def testChosenActionHistogram(self, run_mode):
      with run_mode():
          trajectories = self._create_trajectories()
          num_trajectories = 5
          expected_result = [1, 2, 2, 1, 1, 1, 2, 0, 1, 1]
          metric = tf_metrics.ChosenActionHistogram(buffer_size=10)
          self.evaluate(tf.compat.v1.global_variables_initializer())
          self.evaluate(metric.init_variables())
          for i in range(num_trajectories):
              self.evaluate(metric(trajectories[i]))
  
          self.assertAllEqual(
              expected_result, self.evaluate(metric.result())
          )
          metric.reset()
          self.evaluate_last_func_if_graph_mode()
          self.assertEmpty(self.evaluate(metric.result()))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  from tf_agents.metrics import tf_metrics
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tensorflow.python.eager import context
label_desc: Use image node_id 5 for calling the TFMetricsTest obj's underlying member method code with example usage: obj.testChosenActionHistogram(run_mode) without return types