code: def blur(img: np.ndarray, ksize: int) -> np.ndarray:
      blur_fn = _maybe_process_in_chunks(cv2.blur, ksize=(ksize, ksize))
      return blur_fn(img)
  
file_path: albumentations/albumentations/augmentations/blur/functional.py
imports: from itertools import product
  from math import ceil
  from typing import Sequence, Union
  import cv2
  import numpy
  from albumentations.augmentations.functional import convolve
  from albumentations.augmentations.geometric.functional import scale
  from albumentations.augmentations.utils import _maybe_process_in_chunks, clipped, preserve_shape
label_desc: Use image node_id 1 for calling a global function with example usage: blur(img, ksize) and returns: blur_fn