code: def test_mosaic_slicer_tuple_cut_coords(cut_coords, img):
      """Tests for MosaicSlicer with cut_coords provided as a tuple."""
      slicer = MosaicSlicer.init_with_figure(
          img=img, cut_coords=cut_coords
      )
      slicer.add_overlay(img, cmap=plt.cm.gray, colorbar=True)
      slicer.title("Showing mosaic mode")
      for i, d in enumerate(["x", "y", "z"]):
          assert len(slicer.cut_coords[d]) == cut_coords[i]
      slicer.close()
  
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 11 for calling a global function with example usage: test_mosaic_slicer_tuple_cut_coords(cut_coords, img) without return types