code: def testRaisesErrorUnsupportedActivation(self):
      quantize_config = (
          n_bit_registry.DefaultNBitActivationQuantizeConfig(
              num_bits_weight=4, num_bits_activation=4
          )
      )
  
      with self.assertRaises(ValueError):
          quantize_config.get_output_quantizers(
              keras.layers.Activation("selu")
          )
  
      with self.assertRaises(ValueError):
          quantize_config.get_output_quantizers(
              keras.layers.Activation(lambda x: x)
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_registry
label_desc: Use image node_id 1 for calling the ActivationQuantizeConfigTest obj's underlying member method code with example usage: obj.testRaisesErrorUnsupportedActivation() without return types