code: def _ensure_tf_install():  # pylint: disable=g-statement-before-imports
      """Attempt to import tensorflow, and ensure its version is sufficient.
  
      Raises:
        ImportError: if either tensorflow is not importable or its version is
        inadequate.
      """
      try:
          import tensorflow as tf
      except (ImportError, ModuleNotFoundError):
          # Print more informative error message, then reraise.
          print(
              "\n\nFailed to import TensorFlow. Please note that TensorFlow is not "
              "installed by default when you install TF Agents. This is so that "
              "users can decide whether to install the GPU-enabled TensorFlow "
              "package. To use TF Agents, please install the most recent version "
              "of TensorFlow, by following instructions at "
              "https://tensorflow.org/install.\n\n"
          )
          raise
  
      import distutils.version
  
      #
      # Update this whenever we need to depend on a newer TensorFlow release.
      #
      required_tensorflow_version = "2.15.0"
  
      tf_version = tf.version.VERSION
      if distutils.version.LooseVersion(
          tf_version
      ) < distutils.version.LooseVersion(required_tensorflow_version):
          raise ImportError(
              "This version of TF Agents requires TensorFlow "
              "version >= {required}; Detected an installation of version {present}. "
              "Please upgrade TensorFlow to proceed.".format(
                  required=required_tensorflow_version,
                  present=tf_version,
              )
          )
  
imports: import sys
  from tf_agents import agents
  from tf_agents import bandits
  from tf_agents import distributions
  from tf_agents import drivers
  from tf_agents import environments
  from tf_agents import eval
  from tf_agents import experimental
  from tf_agents import keras_layers
  from tf_agents import metrics
  from tf_agents import networks
  from tf_agents import policies
  from tf_agents import replay_buffers
  from tf_agents import specs
  from tf_agents import system
  from tf_agents import train
  from tf_agents import trajectories
  from tf_agents import typing
  from tf_agents import utils
  from tf_agents import version
  from tf_agents.version import __version__
label_desc: Use image node_id 1 for calling a global function with example usage: _ensure_tf_install() without return types