code: def aligned_iris(iris):
      slices = [iris.data[i : i + 50] for i in range(0, 125, 25)]
      target = [iris.target[i : i + 50] for i in range(0, 125, 25)]
      return slices, target
  
imports: import pytest
  import numpy
  from scipy import sparse
  from sklearn.datasets import load_iris
  from umap import UMAP, AlignedUMAP
label_desc: Use image node_id 16 for calling a global function with example usage: aligned_iris(iris) and returns: slices,  target