code: def testObservationsNotCachedWithTFFunction(self, autograph):
      py_env = suite_gym.load("CartPole-v1")
      tf_env = tf_py_environment.TFPyEnvironment(py_env)
  
      tf_env.reset = common.function(tf_env.reset, autograph=autograph)
      # Test tf_env also creates uniquee observations
      time_step_1 = tf_env.reset()
      time_step_2 = tf_env.reset()
      observation_1 = self.evaluate(time_step_1.observation)
      observation_2 = self.evaluate(time_step_2.observation)
      self.assertNotEqual(
          observation_1.tolist(), observation_2.tolist()
      )
  
      # Check observation is not all 0.
      self.assertGreater(abs(sum(observation_2.flatten().tolist())), 0)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import threading
  from typing import Text
  from absl.testing import parameterized
  from absl.testing.absltest import mock
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import py_environment
  from tf_agents.environments import suite_gym
  from tf_agents.environments import tf_py_environment
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 19 for calling the TFPYEnvironmentTest obj's underlying member method code with example usage: obj.testObservationsNotCachedWithTFFunction(autograph) without return types