code: def aligned_iris_model(aligned_iris, aligned_iris_relations):
      data, target = aligned_iris
      model = AlignedUMAP()
      model.fit(data, relations=aligned_iris_relations)
      return model
  
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 23 for calling a global function with example usage: aligned_iris_model(aligned_iris, aligned_iris_relations) and returns: model