code: def spatial_repeats(spatial_data):
      # spatial data repeats
      spatial_repeats = np.vstack(
          [
              np.repeat(spatial_data[0:2], [2, 0], axis=0),
              spatial_data,
              np.zeros((2, 20)),
          ]
      )
      # Add some all zero data for corner case test.  Make the first three rows identical
      # binary Data Repeat
      return spatial_repeats
  
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 9 for calling a global function with example usage: spatial_repeats(spatial_data) and returns: spatial_repeats