code: def test_spark_tuning(notebooks, output_notebook, kernel_name):
      notebook_path = notebooks["spark_tuning"]
      execute_notebook(
          notebook_path,
          output_notebook,
          kernel_name=kernel_name,
          parameters=dict(
              MOVIELENS_DATA_SIZE="100k",  # Note: mock100 throws an error
              NUMBER_CORES="1",
              NUMBER_ITERATIONS=3,
              SUBSET_RATIO=0.5,
              RANK=[5, 10],
              REG=[0.1, 0.01],
          ),
      )
  
file_path: recommenders/tests/unit/examples/test_notebooks_pyspark.py
imports: import sys
  import pytest
  from recommenders.utils.constants import DEFAULT_RATING_COL, DEFAULT_USER_COL, DEFAULT_ITEM_COL
  from recommenders.utils.notebook_utils import execute_notebook
label_desc: Use image node_id 6 for calling a global function with example usage: test_spark_tuning(notebooks, output_notebook, kernel_name) without return types