code: def helper(self, pos_pairs, neg_pairs):
      self.assertTrue(len(pos_pairs) == 4)
      self.assertTrue(len(neg_pairs) == 6)
  
      diffs = pos_pairs[:, 0] - pos_pairs[:, 1]
      correct_diffs = (
          self.correct_pos_pairs[:, 0] - self.correct_pos_pairs[:, 1]
      )
      self.assertTrue(
          torch.equal(torch.abs(diffs), torch.abs(correct_diffs))
      )
  
      diffs = neg_pairs[:, 0] - neg_pairs[:, 1]
      correct_diffs = (
          self.correct_neg_pairs[:, 0] - self.correct_neg_pairs[:, 1]
      )
      self.assertTrue(
          torch.equal(torch.abs(diffs), torch.abs(correct_diffs))
      )
  
file_path: pytorch-metric-learning/tests/miners/test_hdc_miner.py
imports: import unittest
  import torch
  from pytorch_metric_learning.distances import CosineSimilarity, LpDistance
  from pytorch_metric_learning.miners import HDCMiner
  from ..None import TEST_DEVICE, TEST_DTYPES
  from ..zzz_testing_utils.testing_utils import angle_to_coord
label_desc: Use image node_id 7 for calling the TestHDCMiner obj's underlying member method code with example usage: obj.helper(pos_pairs, neg_pairs) without return types