code: def get_parser():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "-r",
          "--resume",
          type=str,
          nargs="?",
          help="load from logdir or checkpoint in logdir",
      )
      parser.add_argument(
          "-n",
          "--n_samples",
          type=int,
          nargs="?",
          help="number of samples to draw",
          default=50000,
      )
      parser.add_argument(
          "-e",
          "--eta",
          type=float,
          nargs="?",
          help="eta for ddim sampling (0.0 yields deterministic sampling)",
          default=1.0,
      )
      parser.add_argument(
          "-v",
          "--vanilla_sample",
          default=False,
          action="store_true",
          help="vanilla sampling (default option is DDIM sampling)?",
      )
      parser.add_argument(
          "-l",
          "--logdir",
          type=str,
          nargs="?",
          help="extra logdir",
          default="none",
      )
      parser.add_argument(
          "-c",
          "--custom_steps",
          type=int,
          nargs="?",
          help="number of steps for ddim and fastdpm sampling",
          default=50,
      )
      parser.add_argument(
          "--batch_size", type=int, nargs="?", help="the bs", default=10
      )
      return parser
  
imports: import argparse
  import datetime
  import glob
  import os
  import sys
  import time
  import numpy
  import torch
  import yaml
  from ldm.models.diffusion.ddim import DDIMSampler
  from ldm.util import instantiate_from_config
  from omegaconf import OmegaConf
  from PIL import Image
  from tqdm import trange
label_desc: Use image node_id 9 for calling a global function with example usage: get_parser() and returns: parser