code: def test_dbscan_no_calc_core_point_indices(client):
      from cuml.dask.cluster.dbscan import DBSCAN as cuDBSCAN
  
      params = {"eps": 1.1, "min_samples": 4}
      n_samples = 1000
      pat = get_pattern("noisy_moons", n_samples)
  
      X, y = pat[0]
  
      X = StandardScaler().fit_transform(X)
  
      # Set calc_core_sample_indices=False
      cuml_dbscan = cuDBSCAN(
          eps=params["eps"],
          min_samples=5,
          output_type="numpy",
          calc_core_sample_indices=False,
      )
      cuml_dbscan.fit_predict(X)
  
      # Make sure we are None
      assert cuml_dbscan.core_sample_indices_ is None
  
file_path: cuml/python/cuml/tests/dask/test_dask_dbscan.py
imports: from sklearn.preprocessing import StandardScaler
  from sklearn.metrics import pairwise_distances
  from sklearn.datasets import make_blobs
  from sklearn.cluster import DBSCAN
  from cuml.testing.utils import get_pattern, unit_param, quality_param, stress_param, array_equal, assert_dbscan_equal
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 7 for calling a global function with example usage: test_dbscan_no_calc_core_point_indices(client) without return types