code: def test_umap_trustworthiness_on_iris():
      iris = datasets.load_iris()
      data = iris.data
      embedding = cuUMAP(
          n_neighbors=10, min_dist=0.01, random_state=0
      ).fit_transform(data, convert_dtype=True)
      trust = trustworthiness(iris.data, embedding, n_neighbors=10)
      assert trust >= 0.97
  
imports: import platform
  import pytest
  import copy
  import joblib
  from sklearn.metrics import adjusted_rand_score
  from sklearn.manifold import trustworthiness
  from sklearn.datasets import make_blobs
  from sklearn.cluster import KMeans
  from sklearn.neighbors import NearestNeighbors
  from sklearn import datasets
  from cuml.internals import logger
  from cuml.metrics import pairwise_distances
  from cuml.testing.utils import array_equal, unit_param, quality_param, stress_param
  from cuml.manifold.umap import UMAP
  from cuml.internals.safe_imports import cpu_only_import
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 5 for calling a global function with example usage: test_umap_trustworthiness_on_iris() without return types