code: def test_early_stopping_reuse(self):
      patience = 3
      data = np.random.random((100, 1))
      labels = np.where(data > 0.5, 1, 0)
      model = models.Sequential(
          (
              layers.Dense(1, activation="relu"),
              layers.Dense(1, activation="relu"),
          )
      )
      model.compile(
          optimizer="sgd",
          loss="mae",
          metrics=["mse"],
      )
      weights = model.get_weights()
  
      # This should allow training to go for at least `patience` epochs
      model.set_weights(weights)
  
      stopper = callbacks.EarlyStopping(
          monitor="mse", patience=patience
      )
      hist = model.fit(
          data, labels, callbacks=[stopper], verbose=0, epochs=20
      )
      assert len(hist.epoch) >= patience
  
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 3 for calling the EarlyStoppingTest obj's underlying member method code with example usage: obj.test_early_stopping_reuse() without return types