code: def test_connect_with_flatten(self):
      model = models.Sequential(
          [
              layers.RandomZoom((-0.5, 0.0), (-0.5, 0.0)),
              layers.Flatten(),
              layers.Dense(1, activation="relu"),
          ],
      )
  
      model.compile(loss="mse")
      model.fit(
          np.random.random((2, 2, 2, 1)), y=np.random.random((2,))
      )
  
file_path: keras/keras/layers/preprocessing/random_zoom_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
label_desc: Use image node_id 6 for calling the RandomZoomTest obj's underlying member method code with example usage: obj.test_connect_with_flatten() without return types