code: def testConvertToProperTimeStepSpecWhenCreatingAgent(self):
      py_time_step_spec = ts.time_step_spec(
          array_spec.ArraySpec([2], np.float32)
      )
      action_spec = tensor_spec.BoundedTensorSpec(
          [1], tf.float32, -1, 1
      )
      agent = MyAgent(
          time_step_spec=py_time_step_spec, action_spec=action_spec
      )
      self.assertIsInstance(
          agent.time_step_spec.observation, tensor_spec.TensorSpec
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import numpy
  import tensorflow
  from tf_agents.agents import data_converter
  from tf_agents.agents import test_util
  from tf_agents.agents import tf_agent
  from tf_agents.policies import random_tf_policy
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the AgentSpecTest obj's underlying member method code with example usage: obj.testConvertToProperTimeStepSpecWhenCreatingAgent() without return types