code: def check_nn(cuml_output, test_data):
      ref_dists = to_output_type(test_data["ref_y_test"][0], "numpy")
      ref_indices = to_output_type(test_data["ref_y_test"][1], "numpy")
      cuml_dists = to_output_type(cuml_output[0], "numpy")
      cuml_indices = to_output_type(cuml_output[1], "numpy")
      np.testing.assert_allclose(ref_indices, cuml_indices)
      np.testing.assert_allclose(ref_dists, cuml_dists, rtol=0.15)
  
imports: import platform
  from cuml.testing.test_preproc_utils import to_output_type
  from cuml.testing.utils import array_equal
  from cuml.cluster.hdbscan import HDBSCAN
  from cuml.neighbors import NearestNeighbors
  from cuml.metrics import trustworthiness
  from cuml.metrics import adjusted_rand_score
  from cuml.manifold import UMAP
  from cuml.linear_model import ElasticNet, Lasso, LinearRegression, LogisticRegression, Ridge
  from cuml.internals.memory_utils import using_memory_type
  from cuml.internals.mem_type import MemoryType
  from cuml.decomposition import PCA, TruncatedSVD
  from cuml.common.device_selection import DeviceType, using_device_type
  from hdbscan import HDBSCAN
  from sklearn.neighbors import NearestNeighbors
  from sklearn.linear_model import Ridge
  from sklearn.linear_model import ElasticNet
  from sklearn.linear_model import Lasso
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import LinearRegression
  from sklearn.decomposition import PCA
  from sklearn.decomposition import TruncatedSVD
  from sklearn.datasets import make_regression, make_blobs
  from pytest_cases import fixture_union, fixture_plus
  from importlib import import_module
  import inspect
  import pickle
  from cuml.internals.safe_imports import gpu_only_import
  import itertools
  import pytest
  import cuml
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 11 for calling a global function with example usage: check_nn(cuml_output, test_data) without return types