code: def to_prediction(self):
      self.xml_files = sorted(glob_all(self.xml_files))
      pred = deepcopy(self)
      pred.xml_files = [
          split_all_ext(f)[0] + self.pred_extension
          for f in self.xml_files
      ]
      return pred
  
imports: import os
  from copy import deepcopy
  from dataclasses import dataclass, field
  from random import shuffle
  import math
  import numpy
  from paiargparse import pai_dataclass, pai_meta
  from tfaip.data.pipeline.definitions import PipelineMode, INPUT_PROCESSOR, TARGETS_PROCESSOR
  from tqdm import tqdm
  from lxml import etree
  import cv2
  from typing import List, Generator, Optional, Iterable, Dict, Any, Tuple
  from enum import IntEnum
  from calamari_ocr.ocr.dataset.datareader.base import CalamariDataGenerator, CalamariDataGeneratorParams, InputSample, SampleMeta
  from calamari_ocr.utils import split_all_ext, filename, glob_all
  from calamari_ocr.ocr.predict.params import Prediction
  import logging
label_desc: Use image node_id 3 for calling the PageXML obj's underlying member method code with example usage: obj.to_prediction() and returns: pred