code: def commands():
      """
      Upload, list, and download artifacts from an MLflow artifact repository.
  
      To manage artifacts for a run associated with a tracking server, set the MLFLOW_TRACKING_URI
      environment variable to the URL of the desired server.
      """
      pass
  
file_path: mlflow/mlflow/store/artifact/cli.py
imports: import logging
  import click
  from mlflow.artifacts import download_artifacts
  from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
  from mlflow.tracking import _get_store
  from mlflow.utils.proto_json_utils import message_to_json
label_desc: Use image node_id 1 for calling a global function with example usage: commands() without return types