code: def testReturnsConfig_LayerWithResultQuantizer(self):
      layer = l.ReLU()
      quantize_config = self.quantize_registry.get_quantize_config(
          layer
      )
  
      output_quantizers = quantize_config.get_output_quantizers(layer)
  
      self.assertLen(output_quantizers, 1)
      self._assert_activation_quantizers(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 QuantizeRegistryTest obj's underlying member method code with example usage: obj.testReturnsConfig_LayerWithResultQuantizer() without return types