code: def setup_method(self):
      # embedding data from VERB demo
      emb_filename = str(
          self.FIXTURES_ROOT / "fairness" / "bias_embeddings.json"
      )
      with open(emb_filename) as emb_file:
          emb_data = json.load(emb_file)
  
      self.X = torch.cat(
          [
              torch.Tensor(emb_data["he"]).reshape(1, -1),
              torch.Tensor(emb_data["him"]).reshape(1, -1),
          ]
      )
      self.Y = torch.cat(
          [
              torch.Tensor(emb_data["she"]).reshape(1, -1),
              torch.Tensor(emb_data["her"]).reshape(1, -1),
          ]
      )
      self.AB = torch.cat(
          [
              torch.Tensor(emb_data["engineer"]).reshape(1, -1),
              torch.Tensor(emb_data["banker"]).reshape(1, -1),
              torch.Tensor(emb_data["nurse"]).reshape(1, -1),
              torch.Tensor(emb_data["receptionist"]).reshape(1, -1),
          ]
      )
  
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 1 for calling the EmbeddingCoherenceTestTest obj's underlying member method code with example usage: obj.setup_method() without return types