code: def testString(self):
      interpreter = interpreter_wrapper.Interpreter(
          model_path=resource_loader.get_path_to_datafile(
              "testdata/gather_string.tflite"
          )
      )
      interpreter.allocate_tensors()
  
      input_details = interpreter.get_input_details()
      self.assertEqual(2, len(input_details))
      self.assertEqual("input", input_details[0]["name"])
      self.assertEqual(np.string_, input_details[0]["dtype"])
      self.assertTrue(([10] == input_details[0]["shape"]).all())
      self.assertEqual((0.0, 0), input_details[0]["quantization"])
      self.assertQuantizationParamsEqual(
          [], [], 0, input_details[0]["quantization_parameters"]
      )
      self.assertEqual("indices", input_details[1]["name"])
      self.assertEqual(np.int64, input_details[1]["dtype"])
      self.assertTrue(([3] == input_details[1]["shape"]).all())
      self.assertEqual((0.0, 0), input_details[1]["quantization"])
      self.assertQuantizationParamsEqual(
          [], [], 0, input_details[1]["quantization_parameters"]
      )
  
      output_details = interpreter.get_output_details()
      self.assertEqual(1, len(output_details))
      self.assertEqual("output", output_details[0]["name"])
      self.assertEqual(np.string_, output_details[0]["dtype"])
      self.assertTrue(([3] == output_details[0]["shape"]).all())
      self.assertEqual((0.0, 0), output_details[0]["quantization"])
      self.assertQuantizationParamsEqual(
          [], [], 0, output_details[0]["quantization_parameters"]
      )
  
      test_input = np.array([1, 2, 3], dtype=np.int64)
      interpreter.set_tensor(input_details[1]["index"], test_input)
  
      test_input = np.array(
          ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j"]
      )
      expected_output = np.array([b"b", b"c", b"d"])
      interpreter.set_tensor(input_details[0]["index"], test_input)
      interpreter.invoke()
  
      output_data = interpreter.get_tensor(output_details[0]["index"])
      self.assertTrue((expected_output == output_data).all())
  
imports: import ctypes
  import io
  import sys
  from unittest import mock
  import numpy
  import tensorflow
  from tensorflow.lite.python import interpreter
  from tensorflow.lite.python.metrics import metrics
  from tensorflow.lite.python.testdata import _pywrap_test_registerer
  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 8 for calling the InterpreterTest obj's underlying member method code with example usage: obj.testString() without return types