code: def test_create_int8_quantization_config(self):
      representative_data = test_util.create_dataset(
          data_size=10, input_shape=[4], num_classes=3
      )
      config = quantization.QuantizationConfig.for_int8(
          representative_data=representative_data
      )
      self.assertEqual(config.optimizations, [tf.lite.Optimize.DEFAULT])
      self.assertEqual(config.inference_input_type, tf.uint8)
      self.assertEqual(config.inference_output_type, tf.uint8)
      self.assertEqual(
          config.supported_ops, [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
      )
      self.assertFalse(config.experimental_new_quantizer)
  
file_path: mediapipe/mediapipe/model_maker/python/core/utils/quantization_test.py
imports: from absl.testing import parameterized
  import tensorflow
  from mediapipe.model_maker.python.core.utils import quantization
  from mediapipe.model_maker.python.core.utils import test_util
label_desc: Use image node_id 2 for calling the QuantizationTest obj's underlying member method code with example usage: obj.test_create_int8_quantization_config() without return types