code: def test_output(self):
      layer = layers.LayerNormalization(
          dtype="float32",
          beta_initializer="ones",
          gamma_initializer="ones",
      )
      inputs = np.arange(5).astype("float32")[None, :]
      out = layer(inputs)
      self.assertAllClose(
          out, [[-0.41386, 0.29307, 1.0, 1.70693, 2.41386]]
      )
  
file_path: keras/keras/layers/normalization/layer_normalization_test.py
imports: import numpy
  import pytest
  from keras import layers
  from keras import ops
  from keras import regularizers
  from keras import testing
label_desc: Use image node_id 4 for calling the LayerNormalizationTest obj's underlying member method code with example usage: obj.test_output() without return types