code: def test_rnn_input_shape_one_dim_error():
      block = blocks.RNNBlock()
  
      with pytest.raises(ValueError) as info:
          block.build(
              keras_tuner.HyperParameters(),
              keras.Input(shape=(32,), dtype=tf.float32),
          )
  
      assert "Expect the input tensor of RNNBlock" in str(info.value)
  
imports: import keras_tuner
  import pytest
  import tensorflow
  from tensorflow import keras
  from tensorflow import nest
  from autokeras import blocks
  from autokeras import test_utils
label_desc: Use image node_id 23 for calling a global function with example usage: test_rnn_input_shape_one_dim_error() without return types