code: def test_benchmark_chunked_parallel_special_metric_x_y(
      benchmark,
      benchmark_data,
  ):
      # single argument
      benchmark.pedantic(
          dist.chunked_parallel_special_metric,
          kwargs={"X": benchmark_data, "Y": benchmark_data},
          warmup_rounds=WARMUP_ROUNDS,
          iterations=ITERATIONS,
          rounds=ROUNDS,
      )
  
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 8 for calling a global function with example usage: test_benchmark_chunked_parallel_special_metric_x_y(benchmark, benchmark_data) without return types