code: def getGrid(self, row: int, col: int) -> Tuple[np.ndarray]:
      if self.open_grid is False:
          return self.getArray()
      grid_idx = np.array([row, col])
      ul = grid_idx * (self.grid_size - self.overlap)
      lr = ul + self.grid_size
      window = Window(ul[1], ul[0], (lr[1] - ul[1]), (lr[0] - ul[0]))
      rgb = []
      for b in self.show_band:
          rgb.append(self.src_data.read(b, window=window))
      win_tf = self.src_data.window_transform(window)
      ima = cv2.merge([np.uint16(c) for c in rgb])
      if self.geoinfo["dtype"] == "uint32":
          ima = sample_norm(ima)
      return two_percentLinear(ima), win_tf
  
imports: import os.path
  import numpy
  import cv2
  import math
  from typing import List, Dict, Tuple, Union
  from collections import defaultdict
  from easydict import EasyDict
  from .imgtools import sample_norm, two_percentLinear, get_thumbnail
label_desc: Use image node_id 8 for calling the Raster obj's underlying member method code with example usage: obj.getGrid(row, col) and returns: two_percentLinear,  win_tf, self