code: def test_kde_score(n_samples=100, n_features=3):
      pass
  
imports: import joblib
  import numpy
  import pytest
  from sklearn.datasets import make_blobs
  from sklearn.exceptions import NotFittedError
  from sklearn.model_selection import GridSearchCV
  from sklearn.neighbors import KDTree, KernelDensity, NearestNeighbors
  from sklearn.neighbors._ball_tree import kernel_norm
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils._testing import assert_allclose
label_desc: Use image node_id 6 for calling a global function with example usage: test_kde_score(n_samples, n_features) without return types