code: def test_calibration_with_string_input(self):
      model_path = resource_loader.get_path_to_datafile(
          "test_data/string_input_flex_model.bin"
      )
      with open(model_path, "rb") as fp:
          model_with_string_input = fp.read()
      quantizer = _calibrator.Calibrator(model_with_string_input)
  
      # Input generator for the model.
      def input_gen():
          for i in range(10):
              yield [np.array("Test" + str(i))]
  
      quantized_model = quantizer.calibrate_and_quantize_single(
          input_gen, dtypes.float32, dtypes.float32, True, "Identity"
      )
      self.assertIsNotNone(quantized_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 4 for calling the CalibratorTest obj's underlying member method code with example usage: obj.test_calibration_with_string_input() without return types