code: def argsparser():
      parser = argparse.ArgumentParser("PatchCore")
      parser.add_argument(
          "--config",
          type=str,
          default=None,
          help="Path of config",
          required=True,
      )
      parser.add_argument("--device", type=str, default=None)
      parser.add_argument("--batch_size", type=int, default=None)
      parser.add_argument("--num_workers", type=int, default=None)
      parser.add_argument("--seed", type=int, default=None)
      parser.add_argument("--data_path", type=str, default=None)
      parser.add_argument("--save_path", type=str, default=None)
      parser.add_argument("--model_path", type=str, default=None)
      parser.add_argument(
          "--category",
          type=str,
          default=None,
          help="category name for MvTec AD dataset",
      )
      parser.add_argument("--resize", type=list or tuple, default=None)
      parser.add_argument(
          "--crop_size", type=list or tuple, default=None
      )
      parser.add_argument(
          "--backbone",
          type=str,
          default=None,
          help="backbone model arch, one of [resnet18, resnet50, wide_resnet50_2]",
      )
      parser.add_argument(
          "--k", type=int, default=None, help="feature used"
      )
      parser.add_argument(
          "--method",
          type=str,
          default=None,
          help="projection method, one of ['sample','h_sample', 'ortho', 'svd_ortho', 'gaussian']",
      )
      parser.add_argument("--save_pic", type=str2bool, default=None)
  
      parser.add_argument("--test_batch_size", type=int, default=1)
      parser.add_argument("--eval_PRO", type=bool, default=True)
      parser.add_argument("--non_partial_AUC", action="store_true")
      parser.add_argument(
          "--eval_threthold_step",
          type=int,
          default=500,
          help="threthold_step when computing PRO Score and non_partial_AUC",
      )
      return parser.parse_args()
  
imports: import os
  import sys
  import random
  import argparse
  import datetime
  import numpy
  import pandas
  import matplotlib.pyplot
  from tqdm import tqdm
  from sklearn.metrics import roc_curve, precision_recall_curve
  import paddle
  from paddle.io import DataLoader
  import qinspector.uad.datasets.mvtec
  from qinspector.uad.models.patchcore import get_model
  from qinspector.uad.utils.utils import *
  from qinspector.cvlib.uad_configs import ConfigParser
label_desc: Use image node_id 1 for calling a global function with example usage: argsparser() and returns: parser