code: def binary_data():
      bin_data = np.random.choice(
          a=[False, True], size=(10, 20), p=[0.66, 1 - 0.66]
      )
      # Add some all zero graph_data for corner case test
      bin_data = np.vstack([bin_data, np.zeros((2, 20), dtype="bool")])
      return bin_data
  
file_path: pynndescent/pynndescent/tests/conftest.py
imports: import os
  import pytest
  import numpy
  from scipy import sparse
label_desc: Use image node_id 3 for calling a global function with example usage: binary_data() and returns: bin_data