code: def test_unsupported_framework_mxnet(
      huggingface_training_compiler_version,
      huggingface_training_compiler_tensorflow_py_version,
  ):
      with pytest.raises(ValueError):
          HuggingFace(
              py_version=huggingface_training_compiler_tensorflow_py_version,
              entry_point=SCRIPT_PATH,
              role=ROLE,
              instance_count=INSTANCE_COUNT,
              instance_type=INSTANCE_TYPE,
              transformers_version=huggingface_training_compiler_version,
              mxnet_version=".".join(
                  ["99"]
                  * len(
                      huggingface_training_compiler_version.split(".")
                  )
              ),
              enable_sagemaker_metrics=False,
              compiler_config=TrainingCompilerConfig(),
          ).fit()
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  import pytest
  from mock import MagicMock, Mock, patch, ANY
  from sagemaker import image_uris
  from sagemaker.huggingface import HuggingFace, TrainingCompilerConfig
  from sagemaker.huggingface.model import HuggingFaceModel
  from sagemaker.session_settings import SessionSettings
  from tests.unit.sagemaker.training_compiler import EC2_GPU_INSTANCE_CLASSES
label_desc: Use image node_id 9 for calling a global function with example usage: test_unsupported_framework_mxnet(huggingface_training_compiler_version, huggingface_training_compiler_tensorflow_py_version) without return types