code: def testTrueIfCollision(self):
      time_step_spec = self._time_step_spec._replace(
          observation=tensor_spec.BoundedTensorSpec(
              dtype=tf.float32,
              shape=(4,),
              name="st",
              minimum=-10.0,
              maximum=10.0,
          )
      )
      spec_names = set()
      flat_spec = tf.nest.flatten(time_step_spec)
      missing_or_colliding = [
          policy_saver._true_if_missing_or_collision(s, spec_names)
          for s in flat_spec
      ]
  
      self.assertTrue(any(missing_or_colliding))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import shutil
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import q_network
  from tf_agents.networks import q_rnn_network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.policies import q_policy
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 9 for calling the PolicySaverTest obj's underlying member method code with example usage: obj.testTrueIfCollision() without return types