code: def test_contains():
      contains = neurovault.Contains("a", 0)
  
      assert contains != 10
      assert contains == ["b", 1, "a", 0]
      assert contains != ["b", 1, 0]
      assert contains != ["b", 1, "a"]
      assert str(contains) == "Contains('a', 0)"
  
      contains = neurovault.Contains("house", "face")
  
      assert contains == "face vs house"
      assert contains != "smiling face vs frowning face"
  
imports: import hashlib
  import json
  import os
  import re
  import stat
  from urllib import parse
  import numpy
  import pandas
  import pytest
  import requests
  from nilearn._utils.data_gen import generate_fake_fmri
  from nilearn.conftest import _rng
  from nilearn.datasets import neurovault
  from nilearn.image import load_img
label_desc: Use image node_id 21 for calling a global function with example usage: test_contains() without return types