code: def test_to_keys_numpy_array():
      rng = np.random.RandomState(0)
      arr = rng.randn(20, 30)
      df = pd.DataFrame(data=arr)
      dsk = {}
      grid_search_keys = list(dms.utils.to_keys(dsk, arr, df))
      with Client() as client:
          data_futures = client.scatter([arr, df])
      assert grid_search_keys == [f.key for f in data_futures]
  
imports: import numpy
  import pandas
  from dask.distributed import Client
  from scipy import stats
  from sklearn.svm import SVC
  import dask_ml.model_selection
label_desc: Use image node_id 2 for calling a global function with example usage: test_to_keys_numpy_array() without return types