code: def test_call_multi_with_single_column_return_right_shape():
      x_train = np.array([["a"], ["b"], ["a"]])
      layer = layer_module.MultiCategoryEncoding(
          encoding=[layer_module.INT]
      )
      layer.adapt(tf.data.Dataset.from_tensor_slices(x_train).batch(32))
  
      assert layer(x_train).shape == (3, 1)
  
file_path: autokeras/autokeras/keras_layers_test.py
imports: import os
  import numpy
  import tensorflow
  from tensorflow import keras
  from autokeras import keras_layers
label_desc: Use image node_id 4 for calling a global function with example usage: test_call_multi_with_single_column_return_right_shape() without return types