code: def test_early_stopping_patience(self):
      cases = [0, 1, 2, 3]
      losses = [10.0, 9.0, 8.0, 9.0, 8.9, 8.8, 8.7, 8.6, 8.5]
  
      for patience in cases:
          stopper = callbacks.EarlyStopping(
              monitor="loss", patience=patience
          )
          stopper.set_model(models.Sequential())
          stopper.model.compile(loss="mse", optimizer="sgd")
          stopper.on_train_begin()
  
          for epoch, loss in enumerate(losses):
              stopper.on_epoch_end(epoch=epoch, logs={"loss": loss})
              if stopper.model.stop_training:
                  break
  
          self.assertEqual(stopper.stopped_epoch, max(patience, 1) + 2)
  
file_path: keras/keras/callbacks/early_stopping_test.py
imports: import numpy
  import pytest
  from keras import callbacks
  from keras import layers
  from keras import metrics
  from keras import models
  from keras import ops
  from keras import testing
label_desc: Use image node_id 2 for calling the EarlyStoppingTest obj's underlying member method code with example usage: obj.test_early_stopping_patience() without return types