code: def repetition_dense():
      # Dense data for testing small n
      return np.array(
          [
              [5, 6, 7, 8],
              [5, 6, 7, 8],
              [5, 6, 7, 8],
              [5, 6, 7, 8],
              [5, 6, 7, 8],
              [5, 6, 7, 8],
              [1, 1, 1, 1],
              [1, 2, 3, 4],
              [1, 1, 2, 1],
          ]
      )
  
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 8 for calling a global function with example usage: repetition_dense() and returns: np