code: def test_create_dynamic_quantization_config(self):
      config = quantization.QuantizationConfig.for_dynamic()
      self.assertEqual(config.optimizations, [tf.lite.Optimize.DEFAULT])
      self.assertIsNone(config.representative_data)
      self.assertIsNone(config.inference_input_type)
      self.assertIsNone(config.inference_output_type)
      self.assertIsNone(config.supported_ops)
      self.assertIsNone(config.supported_types)
      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 1 for calling the QuantizationTest obj's underlying member method code with example usage: obj.test_create_dynamic_quantization_config() without return types