code: def test_predictor_with_component_name(
      sagemaker_session, component_name
  ):
      predictor = PyTorchPredictor(
          "endpoint", sagemaker_session, component_name=component_name
      )
  
      assert predictor._get_component_name() == component_name
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  import pytest
  from mock import ANY, MagicMock, Mock, patch
  from packaging.version import Version
  from sagemaker import image_uris
  from sagemaker.pytorch import defaults
  from sagemaker.pytorch import PyTorch, PyTorchPredictor, PyTorchModel
  from sagemaker.instance_group import InstanceGroup
  from sagemaker.session_settings import SessionSettings
label_desc: Use image node_id 32 for calling a global function with example usage: test_predictor_with_component_name(sagemaker_session, component_name) without return types