code: def test_distributed_npmiy_unmasked_computation(self):
      Y = torch.ones(3, 3).long()
      X = torch.eye(3).long()
  
      expected_ova_npmiy_gaps = {
          0: [np.nan, np.nan],
          1: [np.nan, np.nan],
      }
      metric_kwargs = {
          "predicted_labels": Y,
          "protected_variable_labels": X,
      }
      run_distributed_test(
          [-1, -1],
          global_distributed_metric,
          AssociationWithoutGroundTruth(2, 2, "npmiy", "ova"),
          metric_kwargs,
          expected_ova_npmiy_gaps,
          exact=True,
      )
  
      expected_pairwise_npmiy_gaps = {
          0: {0: [np.nan, np.nan], 1: [np.nan, np.nan]},
          1: {0: [np.nan, np.nan], 1: [np.nan, np.nan]},
      }
      run_distributed_test(
          [-1, -1],
          global_distributed_metric,
          AssociationWithoutGroundTruth(2, 2, "npmiy", "pairwise"),
          metric_kwargs,
          expected_pairwise_npmiy_gaps,
          exact=True,
      )
  
imports: import pytest
  import torch
  import json
  import math
  import numpy
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase, multi_device, global_distributed_metric, run_distributed_test
  from allennlp.fairness.bias_metrics import WordEmbeddingAssociationTest, EmbeddingCoherenceTest, NaturalLanguageInference, AssociationWithoutGroundTruth
label_desc: Use image node_id 5 for calling the AssociationWithoutGroundTruthTest obj's underlying member method code with example usage: obj.test_distributed_npmiy_unmasked_computation() without return types