code: def spatial_data():
      # - Spatial Data
      spatial_data = np.random.randn(10, 20)
      # Add some all zero data for corner case test
      return np.vstack([spatial_data, np.zeros((2, 20))])
  
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 1 for calling a global function with example usage: spatial_data() and returns: np