code: def test_correctness_1d(self):
      layer_with_1_group = layers.GroupNormalization(
          groups=1, axis=-1, scale=False, center=False
      )
      layer_with_2_groups = layers.GroupNormalization(
          groups=2, axis=1, scale=False, center=False
      )
  
      inputs = np.array([[-1.0, -1.0, 1.0, 1.0, 2.0, 2.0, 0, -2.0]])
  
      expected_output_1_group = np.array(
          [
              [
                  -0.898,
                  -0.898,
                  0.539,
                  0.539,
                  1.257,
                  1.257,
                  -0.180,
                  -1.616,
              ]
          ],
      )
      self.assertAllClose(
          layer_with_1_group(inputs),
          expected_output_1_group,
          atol=1e-3,
      )
  
      expected_output_2_groups = np.array(
          [[-1.0, -1.0, 1.0, 1.0, 0.904, 0.904, -0.301, -1.507]]
      )
      self.assertAllClose(
          layer_with_2_groups(inputs),
          expected_output_2_groups,
          atol=1e-3,
      )
  
file_path: keras/keras/layers/normalization/group_normalization_test.py
imports: import numpy
  import pytest
  from keras import constraints
  from keras import layers
  from keras import regularizers
  from keras import testing
label_desc: Use image node_id 7 for calling the GroupNormalizationTest obj's underlying member method code with example usage: obj.test_correctness_1d() without return types