code: def test_call_raise_error(self):
      context_features = {
          "context_feature_1": tf.constant([[1], [0]], dtype=tf.float32)
      }
      example_features = {}
      mask = tf.constant(
          [[True, True, False], [True, False, False]], dtype=tf.bool
      )
      with self.assertRaises(ValueError):
          layers.FlattenList()(
              inputs=(context_features, example_features, mask)
          )
  
imports: import tensorflow
  from tensorflow_ranking.python.keras import layers
label_desc: Use image node_id 3 for calling the FlattenListTest obj's underlying member method code with example usage: obj.test_call_raise_error() without return types