code: def test_denylisted_nodes_from_option_constructor(self, quantized_io):
      options = debugger.QuantizationDebugOptions(
          layer_debug_metrics={
              "l1_norm": lambda diffs: np.mean(np.abs(diffs))
          },
          fully_quantize=quantized_io,
          denylisted_nodes=["Identity"],
      )
      # TODO(b/195084873): Count the number of NumericVerify op.
      with self.assertRaisesRegex(
          ValueError,
          "Please check if the quantized model is in debug mode",
      ):
          _ = debugger.QuantizationDebugger(
              converter=_quantize_converter(
                  self.tf_model_root, self.tf_model, _calibration_gen
              ),
              debug_dataset=_calibration_gen,
              debug_options=options,
          )
  
imports: import csv
  import io
  import re
  from unittest import mock
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow.lite.python import convert
  from tensorflow.lite.python import lite
  from tensorflow.lite.python.metrics import metrics
  from tensorflow.lite.tools.optimize.debugging.python import debugger
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  from tensorflow.python.trackable import autotrackable
label_desc: Use image node_id 11 for calling the QuantizationDebuggerTest obj's underlying member method code with example usage: obj.test_denylisted_nodes_from_option_constructor(quantized_io) without return types