code: def test_mlflow(
      new_prelogged_mlflow_server, mlflow_logging_config, user
  ):
      project = "mlflow-import-testing"
      overrides = {
          "entity": user,
          "project": project,
      }
      importer = MlflowImporter(
          mlflow_tracking_uri=new_prelogged_mlflow_server.base_url
      )
      importer.import_all_runs(overrides=overrides)
  
      runs = list(wandb.Api().runs(f"{user}/{project}"))
      assert len(runs) == mlflow_logging_config.total_runs
      for run in runs:
          # https://stackoverflow.com/a/50645935
          assert (
              len(list(run.scan_history()))
              == mlflow_logging_config.n_steps_per_run
          )
  
          # only one artifact containing everything in mlflow
          art = list(run.logged_artifacts())[0]
          assert len(art.files()) == mlflow_logging_config.total_files
  
imports: import sys
  import pytest
  import wandb
  from wandb.apis.importers import MlflowImporter
label_desc: Use image node_id 1 for calling a global function with example usage: test_mlflow(new_prelogged_mlflow_server, mlflow_logging_config, user) without return types