code: def test_early_stop_max_mode(self) -> None:
      # Loss increases beyond 0.38 but not more than min_delta
      losses = [0.25, 0.3, 0.32, 0.38, 0.39, 0.41]
      es1 = EarlyStopChecker("max", 3, min_delta=0.05)
      es2 = EarlyStopChecker("max", 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(0.39))
      self.assertTrue(should_stop)
  
      # es2 has more patience than es1
      should_stop = es2.check(torch.tensor(0.39))
      self.assertFalse(should_stop)
      should_stop = es2.check(torch.tensor(0.35))
      self.assertTrue(should_stop)
  
imports: import unittest
  import torch
  from torchtnt.utils.early_stop_checker import EarlyStopChecker
label_desc: Use image node_id 5 for calling the EarlyStopCheckerTest obj's underlying member method code with example usage: obj.test_early_stop_max_mode() without return types