code: def iris_model(iris):
      return UMAP(n_neighbors=10, min_dist=0.01, random_state=42).fit(
          iris.data
      )
  
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 18 for calling a global function with example usage: iris_model(iris) and returns: UMAP