code: def sparse_small_data():
      # Too low dim might cause more than one empty row,
      # which might decrease the computed performance
      return sparse.random(40, 32, density=0.5, format="csr")
  
file_path: pynndescent/pynndescent/tests/conftest.py
imports: import os
  import pytest
  import numpy
  from scipy import sparse
label_desc: Use image node_id 11 for calling a global function with example usage: sparse_small_data() and returns: sparse