code: def test_baseline_deep_dive_smoke(
      notebooks, output_notebook, kernel_name
  ):
      notebook_path = notebooks["baseline_deep_dive"]
      execute_notebook(
          notebook_path,
          output_notebook,
          kernel_name=kernel_name,
          parameters=dict(TOP_K=10, MOVIELENS_DATA_SIZE="100k"),
      )
      results = read_notebook(output_notebook)
  
      assert results["rmse"] == pytest.approx(
          1.054252, rel=TOL, abs=ABS_TOL
      )
      assert results["mae"] == pytest.approx(
          0.846033, rel=TOL, abs=ABS_TOL
      )
      assert results["rsquared"] == pytest.approx(
          0.136435, rel=TOL, abs=ABS_TOL
      )
      assert results["exp_var"] == pytest.approx(
          0.136446, rel=TOL, abs=ABS_TOL
      )
      assert results["map"] == pytest.approx(
          0.052850, rel=TOL, abs=ABS_TOL
      )
      assert results["ndcg"] == pytest.approx(
          0.248061, rel=TOL, abs=ABS_TOL
      )
      assert results["precision"] == pytest.approx(
          0.223754, rel=TOL, abs=ABS_TOL
      )
      assert results["recall"] == pytest.approx(
          0.108826, rel=TOL, abs=ABS_TOL
      )
  
file_path: recommenders/tests/smoke/examples/test_notebooks_python.py
imports: import pytest
  from recommenders.utils.notebook_utils import execute_notebook, read_notebook
label_desc: Use image node_id 2 for calling a global function with example usage: test_baseline_deep_dive_smoke(notebooks, output_notebook, kernel_name) without return types