code: def test_runs_artifact_repo_init_with_real_run():
      artifact_location = "s3://blah_bucket/"
      experiment_id = mlflow.create_experiment(
          "expr_abc", artifact_location
      )
      with mlflow.start_run(experiment_id=experiment_id):
          run_id = mlflow.active_run().info.run_id
      runs_uri = f"runs:/{run_id}/path/to/model"
      runs_repo = RunsArtifactRepository(runs_uri)
  
      assert runs_repo.artifact_uri == runs_uri
      assert isinstance(runs_repo.repo, S3ArtifactRepository)
      expected_absolute_uri = (
          f"{artifact_location}{run_id}/artifacts/path/to/model"
      )
      assert runs_repo.repo.artifact_uri == expected_absolute_uri
  
file_path: mlflow/tests/store/artifact/test_runs_artifact_repo.py
imports: from unittest import mock
  from unittest.mock import Mock
  import pytest
  import mlflow
  from mlflow.exceptions import MlflowException
  from mlflow.store.artifact.runs_artifact_repo import RunsArtifactRepository
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
label_desc: Use image node_id 4 for calling a global function with example usage: test_runs_artifact_repo_init_with_real_run() without return types