code: def test_make_indexable() -> None:
      x1 = np.random.random((10, 10))
      x2 = sp.sparse.coo_matrix(x1)
      x3 = [1, 2, 3]
  
      assert hasattr(
          integration.sklearn._make_indexable(x1), "__getitem__"
      )
      assert hasattr(
          integration.sklearn._make_indexable(x2), "__getitem__"
      )
      assert hasattr(
          integration.sklearn._make_indexable(x3), "__getitem__"
      )
      assert integration.sklearn._make_indexable(None) is None
  
imports: from __future__ import annotations
  from unittest.mock import MagicMock
  from unittest.mock import patch
  import warnings
  import numpy
  import pytest
  import scipy
  from sklearn.datasets import make_blobs
  from sklearn.datasets import make_regression
  from sklearn.decomposition import PCA
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.exceptions import NotFittedError
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import SGDClassifier
  from sklearn.neighbors import KernelDensity
  from sklearn.tree import DecisionTreeRegressor
  from optuna import distributions
  from optuna import integration
  from optuna.samplers import BruteForceSampler
  from optuna.study import create_study
  from optuna.terminator.erroreval import _CROSS_VALIDATION_SCORES_KEY
label_desc: Use image node_id 3 for calling a global function with example usage: test_make_indexable() without return types