code: def test_getattr(client):
      # Test getattr on local param
      kmeans_model = KMeans(client=client)
  
      # Test AttributeError
      with pytest.raises(AttributeError):
          kmeans_model.cluster_centers_
  
      assert kmeans_model.client is not None
  
      # Test getattr on local_model param with a non-distributed model
  
      X, y = make_blobs(
          n_samples=5,
          n_features=5,
          centers=2,
          n_parts=2,
          cluster_std=0.01,
          random_state=10,
      )
  
      kmeans_model.fit(X)
  
      assert kmeans_model.cluster_centers_ is not None
      assert isinstance(kmeans_model.cluster_centers_, cupy.ndarray)
  
      # Test getattr on trained distributed model
  
      X, y = load_text_corpus(client)
  
      nb_model = MultinomialNB(client=client)
      nb_model.fit(X, y)
  
      assert nb_model.feature_count_ is not None
      assert isinstance(nb_model.feature_count_, cupy.ndarray)
  
file_path: cuml/python/cuml/tests/dask/test_dask_base.py
imports: from sklearn.model_selection import train_test_split
  from cuml.dask.datasets import make_regression
  from cuml.dask.linear_model import LinearRegression
  from cuml.internals.safe_imports import cpu_only_import_from
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
  import cuml
  from cuml.dask.datasets import make_blobs
  from cuml.testing.dask.utils import load_text_corpus
  from cuml.dask.naive_bayes.naive_bayes import MultinomialNB
  from cuml.dask.cluster import KMeans
  from dask_ml.wrappers import ParallelPostFit
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 6 for calling a global function with example usage: test_getattr(client) without return types