code: def testGetsResultQuantizers_EmptyWhenFalse(self):
      layer = self._simple_dense_layer()
      quantize_config = n_bit_registry.DefaultNBitQuantizeConfig(
          [], [], False, num_bits_weight=4, num_bits_activation=4
      )
  
      output_quantizers = quantize_config.get_output_quantizers(layer)
  
      self.assertEqual([], output_quantizers)
  
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 10 for calling the DefaultNBitQuantizeConfigTest obj's underlying member method code with example usage: obj.testGetsResultQuantizers_EmptyWhenFalse() without return types