code: def testMetricIsComputedCorrectlyNoSteps(self):
      batched_avg_return_metric = batched_py_metric.BatchedPyMetric(
          py_metrics.AverageReturnMetric
      )
      self.assertEqual(batched_avg_return_metric.result(), 0)
  
file_path: agents/tf_agents/metrics/batched_py_metric_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents.metrics import batched_py_metric
  from tf_agents.metrics import py_metrics
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 2 for calling the BatchedPyMetricTest obj's underlying member method code with example usage: obj.testMetricIsComputedCorrectlyNoSteps() without return types