class_docstr: Identical to PlackettLuce, with input signature modified to our needs.
code: def sample(self, sample_shape=(), seed=None, name="sample", **kwargs):
      return super(NoPenaltyPlackettLuce, self).sample(
          sample_shape, seed, name, **kwargs
      )[:, : self._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 2 for calling the NoPenaltyPlackettLuce obj's underlying member method code with example usage: obj.sample(sample_shape, seed, name) and returns: super