code: def _get_dummy_observation_step(observation_shape, batch_size):
      obs_spec = tensor_spec.TensorSpec(observation_shape, tf.float32)
      time_step_spec = time_step.time_step_spec(obs_spec)
      return tensor_spec.sample_spec_nest(
          time_step_spec, outer_dims=(batch_size,)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.bandits.policies import categorical_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 test_utils
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling a global function with example usage: _get_dummy_observation_step(observation_shape, batch_size) and returns: tensor_spec