code: def test_without_experimental_new_converter(self, use_v2_converter):
      args = [
          "--saved_model_dir=/tmp/saved_model/",
          "--output_file=/tmp/output.tflite",
      ]
  
      # Note that when the flag parses to None, the converter uses the default
      # value, which is True.
  
      parser = tflite_convert._get_parser(
          use_v2_converter=use_v2_converter
      )
      parsed_args = parser.parse_args(args)
      self.assertTrue(parsed_args.experimental_new_converter)
      self.assertIsNone(parsed_args.experimental_new_quantizer)
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow import keras
  from tensorflow.core.framework import graph_pb2
  from tensorflow.lite.python import test_util
  from tensorflow.lite.python import tflite_convert
  from tensorflow.lite.python.convert import register_custom_opdefs
  from tensorflow.python import tf2
  from tensorflow.python.client import session
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.importer import import_graph_def
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import saved_model
  from tensorflow.python.saved_model.save import save
  from tensorflow.python.trackable import autotrackable
  from tensorflow.python.training.training_util import write_graph
label_desc: Use image node_id 1 for calling the ArgParserTest obj's underlying member method code with example usage: obj.test_without_experimental_new_converter(use_v2_converter) without return types