code: def test_load_docker_project(tmp_path):
      tmp_path.joinpath("MLproject").write_text(
          textwrap.dedent(
              """
      docker_env:
          image: some-image
      """
          )
      )
      project = _project_spec.load_project(str(tmp_path))
      assert project._entry_points == {}
      assert project.env_config_path is None
      assert project.docker_env.get("image") == "some-image"
  
file_path: mlflow/tests/projects/test_project_spec.py
imports: import os
  import textwrap
  import pytest
  from mlflow.exceptions import ExecutionException
  from mlflow.projects import _project_spec
  from tests.projects.utils import load_project
label_desc: Use image node_id 4 for calling a global function with example usage: test_load_docker_project(tmp_path) without return types