code: def test_early_stop_min_delta(self) -> None:
      # Loss decreases beyond 0.25 but not more than min_delta
      losses = [0.4, 0.38, 0.31, 0.25, 0.27, 0.24]
      es1 = EarlyStopChecker("min", 3, min_delta=0.05)
      es2 = EarlyStopChecker("min", 4, min_delta=0.05)
  
      for loss in losses:
          should_stop = es1.check(torch.tensor(loss))
          self.assertFalse(should_stop)
          should_stop = es2.check(torch.tensor(loss))
          self.assertFalse(should_stop)
  
      # Patience should run out
      should_stop = es1.check(torch.tensor(0.25))
      self.assertTrue(should_stop)
  
      # es2 has more patience than es1
      should_stop = es2.check(torch.tensor(0.25))
      self.assertFalse(should_stop)
      should_stop = es2.check(torch.tensor(0.26))
      self.assertTrue(should_stop)
  
imports: import unittest
  import torch
  from torchtnt.utils.early_stop_checker import EarlyStopChecker
label_desc: Use image node_id 3 for calling the EarlyStopCheckerTest obj's underlying member method code with example usage: obj.test_early_stop_min_delta() without return types