code: def test_slate_slot_item_probabilities(self):
      probs = SlateSlotItemProbabilities(
          [SlateItemValues(vs) for vs in self._slot_item_relevances]
      )
      slate = probs.sample_slate(self._slots)
      slate_prob = probs.slate_probability(slate)
      self.assertAlmostEqual(slate_prob, 0.02139037, places=2)
      slot_item_expectations = probs.slot_item_expectations()
      slot_rewards = slot_item_expectations.expected_rewards(
          SlateItemValues(self._item_rewards)
      )
      diff = slot_rewards.values - torch.tensor(
          [1.81818, 2.51352, 7.36929]
      )
      self.assertAlmostEqual(diff.sum().item(), 0, places=5)
  
file_path: ReAgent/reagent/ope/test/unit_tests/test_slate_estimators.py
imports: import random
  import unittest
  import torch
  from reagent.ope.estimators.slate_estimators import DCGSlateMetric, NDCGSlateMetric, Slate, SlateItem, SlateItemProbabilities, SlateItemValues, SlateSlotItemProbabilities, SlateSlots
label_desc: Use image node_id 3 for calling the TestEstimator obj's underlying member method code with example usage: obj.test_slate_slot_item_probabilities() without return types