code: def test_get_mlflow_model(URI: Path):
      bento_model = bentoml.mlflow.import_model(MODEL_NAME, str(URI))
      mlflow_model = bentoml.mlflow.get_mlflow_model(bento_model.tag)
      assert isinstance(mlflow_model, mlflow.models.Model)
  
imports: from __future__ import annotations
  import os
  import typing
  from pathlib import Path
  from typing import TYPE_CHECKING
  import mlflow
  import mlflow.models
  import mlflow.sklearn
  import mlflow.tracking
  import numpy
  import psutil
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.neighbors import KNeighborsClassifier
  import bentoml
  from bentoml._internal.models.model import ModelContext
  from bentoml.exceptions import BentoMLException
  from bentoml.exceptions import NotFound
label_desc: Use image node_id 10 for calling a global function with example usage: test_get_mlflow_model(URI) without return types