docstr: Mock the init logic for read_image_pil function.
  
  Instead of reading a PIL image at location specified by `path`, a random PIL
  image is returned. The randomness in height and width dimensions may allow us to
  catch errors in transform functions.
docstr_tok: ["Mock","the","init","logic","for","read_image_pil","function",".","Instead","of","reading","a","PIL","image","at","location","specified","by","`","path","`",",","a","random","PIL","image","is","returned",".","The","randomness","in","height","and","width","dimensions","may","allow","us","to","catch","errors","in","transform","functions","."]
code: def read_image_pil(path: str) -> Optional[Image.Image]:
      """Mock the init logic for read_image_pil function.
  
      Instead of reading a PIL image at location specified by `path`, a random PIL
      image is returned. The randomness in height and width dimensions may allow us to
      catch errors in transform functions.
      """
      return Image.new(
          "RGB", (random.randint(10, 20), random.randint(10, 20))
      )
  
imports: import argparse
  import random
  from typing import Optional
  from PIL import Image
  from data.datasets.classification.imagenet import ImageNetDataset
  from data.datasets.classification.imagenet_a import ImageNetADataset
  from data.datasets.classification.imagenet_r import ImageNetRDataset
  from data.datasets.classification.imagenet_sketch import ImageNetSketchDataset
label_desc: Use image node_id 2 for calling the MockImageNetDataset obj's underlying member method code with example usage: obj.read_image_pil(path) and returns: Image