code: def test_use_datasets():
      df = pd.read_csv(
          "https://gist.githubusercontent.com/tijptjik/9408623/raw/b237fa5848349a14a14e5d4107dc7897c21951f5/wine.csv"
      )
      assert (
          wandb_use("df", df, testing=True, datasets=True) == "datasets"
      )
      assert wandb_use("df", df, testing=True, datasets=False) is None
  
      path = Path()
      assert (
          wandb_use("path", path, testing=True, datasets=True)
          == "datasets"
      )
      assert (
          wandb_use("path", path, testing=True, datasets=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 10 for calling a global function with example usage: test_use_datasets() without return types