code: def test_track_sklearn_model():
      rf_clf = RandomForestClassifier()
      assert (
          wandb_track("rf_clf", rf_clf, testing=True, models=True)
          == "BaseEstimator"
      )
      assert (
          wandb_track("rf_clf", rf_clf, testing=True, models=False)
          is None
      )
  
      gb_clf = GradientBoostingClassifier()
      assert (
          wandb_track("gb_clf", gb_clf, testing=True, models=True)
          == "BaseEstimator"
      )
      assert (
          wandb_track("gb_clf", gb_clf, testing=True, models=False)
          is None
      )
  
file_path: wandb/tests/pytest_tests/unit_tests/test_metaflow.py
imports: import platform
  from pathlib import Path
  import pytest
  import pandas
  from metaflow import FlowSpec, step
  from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
  from wandb.integration.metaflow import wandb_log, wandb_track, wandb_use
label_desc: Use image node_id 6 for calling a global function with example usage: test_track_sklearn_model() without return types