code: def _get_quant_params(self, quantizer_class):
      if quantizer_class == quantizers.LastValueQuantizer:
          return {
              "num_bits": 8,
              "per_axis": False,
              "symmetric": False,
              "narrow_range": False,
          }
      else:
          return {}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
label_desc: Use image node_id 5 for calling the QuantizeIntegrationTest obj's underlying member method code with example usage: obj._get_quant_params(quantizer_class) and returns: dict, dict