code: def setup_method(self):
      super().setup_method()
      self.scorer = AttachmentScores()
  
      self.predictions = torch.Tensor(
          [[0, 1, 3, 5, 2, 4], [0, 3, 2, 1, 0, 0]]
      )
  
      self.gold_indices = torch.Tensor(
          [[0, 1, 3, 5, 2, 4], [0, 3, 2, 1, 0, 0]]
      )
  
      self.label_predictions = torch.Tensor(
          [[0, 5, 2, 1, 4, 2], [0, 4, 8, 2, 0, 0]]
      )
  
      self.gold_labels = torch.Tensor(
          [[0, 5, 2, 1, 4, 2], [0, 4, 8, 2, 0, 0]]
      )
  
      self.mask = torch.tensor(
          [
              [True, True, True, True, True, True],
              [True, True, True, True, False, False],
          ]
      )
  
file_path: allennlp/tests/training/metrics/attachment_scores_test.py
imports: from typing import Any, Dict, List, Tuple, Union
  import torch
  from allennlp.common.testing import AllenNlpTestCase, multi_device, run_distributed_test, global_distributed_metric
  from allennlp.training.metrics import AttachmentScores
label_desc: Use image node_id 1 for calling the AttachmentScoresTest obj's underlying member method code with example usage: obj.setup_method() without return types