code: def test_get_QActionStateValue_predictions():
      tf.reset_default_graph()
      from rl_coach.presets.CartPole_DQN import (
          graph_manager as cartpole_dqn_graph_manager,
      )
  
      assert cartpole_dqn_graph_manager
      cartpole_dqn_graph_manager.create_graph(
          task_parameters=TaskParameters(
              framework_type=Frameworks.tensorflow,
              experiment_path="./experiments/test",
          )
      )
      cartpole_dqn_graph_manager.improve_steps.num_steps = 1
      cartpole_dqn_graph_manager.steps_between_evaluation_periods.num_steps = (
          5
      )
  
imports: import os
  import sys
  from rl_coach.base_parameters import TaskParameters, Frameworks
  import tensorflow
  from tensorflow import logging
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: test_get_QActionStateValue_predictions() without return types