code: def _get_s3_artifact_cmd_and_envs(artifact_repo):
      # pylint: disable=unused-argument
      if platform.system() == "Windows":
          win_user_dir = os.environ["USERPROFILE"]
          aws_path = os.path.join(win_user_dir, ".aws")
      else:
          aws_path = posixpath.expanduser("~/.aws")
  
      volumes = []
      if posixpath.exists(aws_path):
          volumes = ["-v", "{}:{}".format(str(aws_path), "/.aws")]
      envs = {
          "AWS_SECRET_ACCESS_KEY": os.environ.get(
              "AWS_SECRET_ACCESS_KEY"
          ),
          "AWS_ACCESS_KEY_ID": os.environ.get("AWS_ACCESS_KEY_ID"),
          "MLFLOW_S3_ENDPOINT_URL": os.environ.get(
              "MLFLOW_S3_ENDPOINT_URL"
          ),
          "MLFLOW_S3_IGNORE_TLS": os.environ.get(
              "MLFLOW_S3_IGNORE_TLS"
          ),
      }
      envs = {k: v for k, v in envs.items() if v is not None}
      return volumes, envs
  
imports: import logging
  import os
  import platform
  import posixpath
  import subprocess
  import sys
  from pathlib import Path
  import mlflow
  from mlflow import tracking
  from mlflow.environment_variables import MLFLOW_KERBEROS_TICKET_CACHE, MLFLOW_KERBEROS_USER, MLFLOW_PYARROW_EXTRA_CONF
  from mlflow.exceptions import MlflowException
  from mlflow.projects import env_type
  from mlflow.projects.backend.abstract_backend import AbstractBackend
  from mlflow.projects.submitted_run import LocalSubmittedRun
  from mlflow.projects.utils import MLFLOW_DOCKER_WORKDIR_PATH, MLFLOW_LOCAL_BACKEND_RUN_ID_CONFIG, PROJECT_BUILD_IMAGE, PROJECT_DOCKER_ARGS, PROJECT_DOCKER_AUTH, PROJECT_ENV_MANAGER, PROJECT_STORAGE_DIR, PROJECT_SYNCHRONOUS, fetch_and_validate_project, get_entry_point_command, get_or_create_run, get_run_env_vars, load_project
  from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
  from mlflow.store.artifact.azure_blob_artifact_repo import AzureBlobArtifactRepository
  from mlflow.store.artifact.gcs_artifact_repo import GCSArtifactRepository
  from mlflow.store.artifact.hdfs_artifact_repo import HdfsArtifactRepository
  from mlflow.store.artifact.local_artifact_repo import LocalArtifactRepository
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.utils import env_manager
  from mlflow.utils.conda import get_or_create_conda_env
  from mlflow.utils.databricks_utils import get_databricks_env_vars, is_in_databricks_runtime
  from mlflow.utils.environment import _PythonEnv
  from mlflow.utils.file_utils import get_or_create_nfs_tmp_dir
  from mlflow.utils.mlflow_tags import MLFLOW_PROJECT_ENV
  from mlflow.utils.virtualenv import _PYENV_ROOT_DIR, _VIRTUALENV_ENVS_DIR, _create_virtualenv, _get_mlflow_virtualenv_root, _get_virtualenv_extra_env_vars, _get_virtualenv_name, _install_python
label_desc: Use image node_id 8 for calling a global function with example usage: _get_s3_artifact_cmd_and_envs(artifact_repo) and returns: volumes,  envs