code: def test_config_contains_correct_shape(
      self, constant_shape=(1, 5, 2)
  ):
      layer = keras_layers.LearnedConstant(shape=constant_shape)
  
      config = layer.get_config()
  
      self.assertIn("shape", config)
      self.assertSequenceEqual(config["shape"], constant_shape)
  
imports: import math
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_graphics.projects.gan import keras_layers
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 2 for calling the LearnedConstantTest obj's underlying member method code with example usage: obj.test_config_contains_correct_shape(constant_shape) without return types