code: def test_invalid_model_buffer(self):
      float_model = b"\0" * 100
      with self.assertRaisesRegex(
          ValueError, "Failed to parse the model"
      ):
          _calibrator.Calibrator(float_model)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow.lite.python import lite
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python.optimize import calibrator
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the CalibratorTest obj's underlying member method code with example usage: obj.test_invalid_model_buffer() without return types