code: def testGetsQuantizeWeightsAndQuantizers(self):
      layer = self._simple_dense_layer()
  
      quantize_config = n_bit_registry.DefaultNBitQuantizeConfig(
          ["kernel"],
          ["activation"],
          False,
          num_bits_weight=4,
          num_bits_activation=4,
      )
      (weights, weight_quantizers) = self._convert_list(
          quantize_config.get_weights_and_quantizers(layer)
      )
  
      self._assert_weight_quantizers(weight_quantizers)
      self.assertEqual([layer.kernel], weights)
  
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 2 for calling the DefaultNBitQuantizeConfigTest obj's underlying member method code with example usage: obj.testGetsQuantizeWeightsAndQuantizers() without return types