code: def test_l1l2_get_config(self):
      l1 = 0.01
      l2 = 0.02
      reg = regularizers.L1L2(l1=l1, l2=l2)
      config = reg.get_config()
  
      self.assertEqual(config, {"l1": l1, "l2": l2})
  
      reg_from_config = regularizers.L1L2.from_config(config)
      config_from_config = reg_from_config.get_config()
  
      self.assertDictEqual(config, config_from_config)
      self.assertEqual(reg_from_config.l1, l1)
      self.assertEqual(reg_from_config.l2, l2)
  
imports: import numpy
  from keras import backend
  from keras import regularizers
  from keras import testing
  from keras.regularizers.regularizers import validate_float_arg
label_desc: Use image node_id 7 for calling the RegularizersTest obj's underlying member method code with example usage: obj.test_l1l2_get_config() without return types