code: def test_imdb_accuracy_over_92(tmp_path):
      (x_train, y_train), (x_test, y_test) = imdb_raw(
          num_instances=None
      )
      clf = ak.TextClassifier(max_trials=3, directory=tmp_path)
      clf.fit(x_train, y_train, batch_size=6, epochs=1)
      accuracy = clf.evaluate(x_test, y_test)[1]
      assert accuracy >= 0.92
  
file_path: autokeras/benchmark/performance.py
imports: import os
  import numpy
  import tensorflow
  from sklearn.datasets import load_files
  from tensorflow.keras.datasets import cifar10
  from tensorflow.keras.datasets import mnist
  import autokeras
label_desc: Use image node_id 4 for calling a global function with example usage: test_imdb_accuracy_over_92(tmp_path) without return types