code: def sample(self, num_samples=None, seed=None):
      del seed
      if not num_samples:
          return self._action
  
      actions = tf.tile(self._action, tf.constant([num_samples, 1]))
      actions = tf.reshape(
          actions,
          [num_samples, self._action.shape[0], self._action.shape[1]],
      )
      return actions
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tf_agents.agents.cql import cql_sac_agent
  from tf_agents.agents.ddpg import critic_network
  from tf_agents.agents.ddpg import critic_rnn_network
  from tf_agents.agents.sac import tanh_normal_projection_network
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import actor_distribution_rnn_network
  from tf_agents.networks import network
  from tf_agents.networks import utils
  from tf_agents.specs import distribution_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 2 for calling the _MockDistribution obj's underlying member method code with example usage: obj.sample(num_samples, seed) and returns: actions, self