code: def benchmark_data(request):
      shape = request.param
      spatial_data = np.random.randn(*shape).astype(np.float32)
      return np.abs(spatial_data)
  
file_path: umap/umap/tests/test_chunked_parallel_spatial_metric.py
imports: import pytest
  import numba
  import os
  import numpy
  from numpy.testing import assert_array_equal
  from umap import distances
label_desc: Use image node_id 3 for calling a global function with example usage: benchmark_data(request) and returns: np