code: def test_no_predictor_yes_async_inference_config(
      self,
      mock_estimator_deploy: mock.Mock,
      mock_estimator_fit: mock.Mock,
      mock_estimator_init: mock.Mock,
      mock_get_model_specs: mock.Mock,
      mock_session_estimator: mock.Mock,
      mock_session_model: mock.Mock,
      mock_is_valid_model_id: mock.Mock,
      mock_get_default_predictor: mock.Mock,
  ):
      mock_estimator_deploy.return_value = default_predictor
  
      mock_get_default_predictor.return_value = (
          default_predictor_with_presets
      )
  
      mock_is_valid_model_id.return_value = True
  
      model_id, _ = "js-trainable-model-prepacked", "*"
  
      mock_get_model_specs.side_effect = get_special_model_spec
  
      mock_session_estimator.return_value = sagemaker_session
      mock_session_model.return_value = sagemaker_session
  
      estimator = JumpStartEstimator(
          model_id=model_id,
      )
  
      channels = {
          "training": f"s3://{get_jumpstart_content_bucket(region)}/"
          f"some-training-dataset-doesn't-matter",
      }
  
      estimator.fit(channels)
  
      predictor = estimator.deploy(
          async_inference_config=AsyncInferenceConfig()
      )
  
      mock_get_default_predictor.assert_not_called()
      self.assertEqual(type(predictor), Predictor)
  
imports: from __future__ import absolute_import
  import time
  from typing import Optional, Set
  from unittest import mock
  import unittest
  from inspect import signature
  import pytest
  from sagemaker.async_inference.async_inference_config import AsyncInferenceConfig
  from sagemaker.debugger.profiler_config import ProfilerConfig
  from sagemaker.estimator import Estimator
  from sagemaker.instance_group import InstanceGroup
  from sagemaker.jumpstart.artifacts.environment_variables import _retrieve_default_environment_variables
  from sagemaker.jumpstart.artifacts.hyperparameters import _retrieve_default_hyperparameters
  from sagemaker.jumpstart.artifacts.metric_definitions import _retrieve_default_training_metric_definitions
  from sagemaker.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_SESSION
  from sagemaker.jumpstart.enums import JumpStartScriptScope, JumpStartTag
  from sagemaker.jumpstart.estimator import JumpStartEstimator
  from sagemaker.jumpstart.utils import get_jumpstart_content_bucket
  from sagemaker.session_settings import SessionSettings
  from tests.integ.sagemaker.jumpstart.utils import get_training_dataset_for_model_and_version
  from sagemaker.model import Model
  from sagemaker.predictor import Predictor
  from tests.unit.sagemaker.jumpstart.utils import get_special_model_spec, overwrite_dictionary
label_desc: Use image node_id 15 for calling the EstimatorTest obj's underlying member method code with example usage: obj.test_no_predictor_yes_async_inference_config(mock_estimator_deploy, mock_estimator_fit, mock_estimator_init, mock_get_model_specs, mock_session_estimator, mock_session_model, mock_is_valid_model_id, mock_get_default_predictor) without return types