code: def test_threshold(threshold, vmin, vmax, expected_results):
      """Tests for ``OrthoSlicer._threshold``."""
      data = np.array([[-2, -1, 0], [0, 1, 2]], dtype=float)
      assert np.ma.allequal(
          OrthoSlicer._threshold(data, threshold, vmin, vmax),
          np.ma.masked_invalid(expected_results),
      )
  
imports: import matplotlib
  import matplotlib.pyplot
  import numpy
  import pytest
  from nibabel import Nifti1Image
  from nilearn.datasets import load_mni152_template
  from nilearn.plotting.displays import BaseAxes, LProjector, LRProjector, LYRProjector, LYRZProjector, LZRProjector, LZRYProjector, MosaicSlicer, OrthoProjector, OrthoSlicer, RProjector, TiledSlicer, XProjector, XSlicer, XZProjector, XZSlicer, YProjector, YSlicer, YXProjector, YXSlicer, YZProjector, YZSlicer, ZProjector, ZSlicer
label_desc: Use image node_id 24 for calling a global function with example usage: test_threshold(threshold, vmin, vmax, expected_results) without return types