code: def __init__(
      self,
      unused_features: types.Tensor,
      num_slots: int,
      scores: types.Tensor,
      unused_penalty_mixture_coefficient: float,
  ):
      self._scores = scores
      self._num_slots = num_slots
  
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 1 to create a new DescendingScoreSampler object from inherited base classes: tf with example: obj = DescendingScoreSampler(unused_features, num_slots, scores, unused_penalty_mixture_coefficient)