code: def nn_data():
      nn_data = np.random.uniform(0, 1, size=(1000, 5))
      nn_data = np.vstack(
          [nn_data, np.zeros((2, 5))]
      )  # Add some all zero data for corner case test
      return nn_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 5 for calling a global function with example usage: nn_data() and returns: nn_data