code: def setUp(self):
      super(QuantizeRegistryTest, self).setUp()
      self.quantize_registry = (
          n_bit_registry.DefaultNBitQuantizeRegistry(
              num_bits_weight=4, num_bits_activation=4
          )
      )
  
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 QuantizeRegistryTest obj's underlying member method code with example usage: obj.setUp() without return types