code: def test_blur_accuracy(test_images):
      snakes = test_images["snakes"]
  
      i = snakes.filter(ImageFilter.GaussianBlur(0.4))
      # These pixels surrounded with pixels with 255 intensity.
      # They must be very close to 255.
      for x, y, c in [
          (1, 0, 1),
          (2, 0, 1),
          (7, 8, 1),
          (8, 8, 1),
          (2, 9, 1),
          (7, 3, 0),
          (8, 3, 0),
          (5, 8, 0),
          (5, 9, 0),
          (1, 3, 0),
          (4, 3, 2),
          (4, 2, 2),
      ]:
          assert i.im.getpixel((x, y))[c] >= 250
      # Fuzzy match.
  
      def gp(x, y):
          return i.im.getpixel((x, y))
  
      assert 236 <= gp(7, 4)[0] <= 239
      assert 236 <= gp(7, 5)[2] <= 239
      assert 236 <= gp(7, 6)[2] <= 239
      assert 236 <= gp(7, 7)[1] <= 239
      assert 236 <= gp(8, 4)[0] <= 239
      assert 236 <= gp(8, 5)[2] <= 239
      assert 236 <= gp(8, 6)[2] <= 239
      assert 236 <= gp(8, 7)[1] <= 239
  
file_path: pillow/Tests/test_imageops_usm.py
imports: from __future__ import annotations
  import pytest
  from PIL import Image, ImageFilter
label_desc: Use image node_id 6 for calling a global function with example usage: test_blur_accuracy(test_images) and returns: i