code: def expected_cuts(cut_coords):
      """Expected cut with test_demo_mosaic_slicer."""
      if cut_coords == (1, 1, 1):
          return {"x": [-40.0], "y": [-30.0], "z": [-30.0]}
      if cut_coords == 5:
          return {
              "x": [-40.0, -20.0, 0.0, 20.0, 40.0],
              "y": [-30.0, -15.0, 0.0, 15.0, 30.0],
              "z": [-30.0, -3.75, 22.5, 48.75, 75.0],
          }
      return {"x": [10, 20], "y": [30, 40], "z": [15, 16]}
  
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 14 for calling a global function with example usage: expected_cuts(cut_coords) and returns: dict, dict, dict