code: def generate_random_string(low, high):
      length = np.random.randint(low, high)
      content = "".join(np.random.choice(options, size=length))
      return content
  
imports: import string
  from ctypes import pointer
  from tempfile import NamedTemporaryFile
  from collections import defaultdict
  from multiprocessing import cpu_count
  from assertpy import assert_that
  import numpy
  from torch.utils.data import Dataset
  from ffcv import DatasetWriter
  from ffcv.fields import IntField, JSONField
  from ffcv.fields.bytes import BytesDecoder
  from ffcv.fields.basics import IntDecoder
  from ffcv import Loader
label_desc: Use image node_id 1 for calling a global function with example usage: generate_random_string(low, high) and returns: content