code: def test_tf_model(monkeypatch, working_dir, dummy_tf_models):
      DummyTFModel, *_ = dummy_tf_models
      monkeypatch.setenv("MODELKIT_STORAGE_BUCKET", TEST_DIR)
      monkeypatch.setenv("MODELKIT_STORAGE_PREFIX", "testdata")
      monkeypatch.setenv("MODELKIT_STORAGE_PROVIDER", "local")
      monkeypatch.setenv("MODELKIT_ASSETS_DIR", working_dir)
  
      lib = ModelLibrary(models=DummyTFModel)
      assert not lib.settings.tf_serving.enable
      model = lib.get("dummy_tf_model")
      v = np.zeros((3, 2, 1), dtype=np.float32)
      assert np.allclose(v, model({"input_1": v})["lambda"])
  
imports: import os
  import pytest
  import requests
  from modelkit import ModelLibrary, testing
  from modelkit.core.models.tensorflow_model import AsyncTensorflowModel, TensorflowModel, has_tensorflow
  from modelkit.core.settings import LibrarySettings
  from modelkit.testing import tf_serving_fixture
  from modelkit.utils.tensorflow import write_config
  from tests import TEST_DIR
  from tests.conftest import skip_unless
label_desc: Use image node_id 4 for calling a global function with example usage: test_tf_model(monkeypatch, working_dir, dummy_tf_models) without return types