code: def binary_repeats(binary_data):
      binary_repeats = np.vstack(
          [
              np.repeat(binary_data[0:2], [2, 0], axis=0),
              binary_data,
              np.zeros((2, 20), dtype="bool"),
          ]
      )
      # Add some all zero data for corner case test.  Make the first three rows identical
      return binary_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 10 for calling a global function with example usage: binary_repeats(binary_data) and returns: binary_repeats