code: def __init__(
      self,
      num_items: int,
      num_slots: int,
      time_step_spec: types.TimeStep,
      network: types.Network,
      logits_temperature: float = 1.0,
      name: Optional[Text] = None,
  ):
      super(NoPenaltyRankingPolicy, self).__init__(
          num_items=num_items,
          num_slots=num_slots,
          time_step_spec=time_step_spec,
          network=network,
          item_sampler=NoPenaltyPlackettLuce,
          logits_temperature=logits_temperature,
          name=name,
      )
  
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 NoPenaltyRankingPolicy object from inherited base classes: RankingPolicy with example: obj = NoPenaltyRankingPolicy(num_items, num_slots, time_step_spec, network, logits_temperature, name)