code: def sample(self, shape=(), seed=None):
      return tf.math.top_k(self._scores, k=self._num_slots).indices
  
imports: from typing import Optional, Sequence, Text
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.policies import utils
  from tf_agents.specs import bandit_spec_utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the DescendingScoreSampler obj's underlying member method code with example usage: obj.sample(shape, seed) and returns: tf