code: def __init__(self):
      super().__init__(
          dataset_root="data/lung_coronavirus",
          raw_dataset_dir="lung_coronavirus_raw/",
          images_dir="20_ncov_scan",
          labels_dir="lung_mask",
          phase_dir="lung_coronavirus_phase0/",
          urls=urls,
          valid_suffix=("nii.gz", "nii.gz"),
          filter_key=(None, None),
          uncompress_params={"format": "zip", "num_files": 4},
      )
  
      self.preprocess = {
          "images": [
              HUnorm,
              wrapped_partial(
                  resample, new_shape=[128, 128, 128], order=1
              ),
          ],
          "labels": [
              wrapped_partial(
                  resample, new_shape=[128, 128, 128], order=0
              ),
          ],
      }
  
file_path: PaddleSeg/contrib/MedicalSeg/tools/prepare_lung_coronavirus.py
imports: import os
  import sys
  import zipfile
  import functools
  import numpy
  from prepare import Prep
  from tools.preprocess_utils import HUnorm, resample, join_paths
  from medicalseg.utils import wrapped_partial
label_desc: Use image node_id 1 to create a new Prep_lung_coronavirus object from inherited base classes: Prep with example: obj = Prep_lung_coronavirus()