code: def preprocess_test_case(
      self,
      data_files,
      target_spacing,
      seg_file=None,
      force_separate_z=None,
  ):
      data, seg, properties = ImageCropper.crop_from_list_of_files(
          data_files, seg_file
      )
  
      data = data.transpose(
          (0, *[i + 1 for i in self.transpose_forward])
      )
      seg = seg.transpose((0, *[i + 1 for i in self.transpose_forward]))
  
      data, seg, properties = self.resample_and_normalize(
          data,
          target_spacing,
          properties,
          seg,
          force_separate_z=force_separate_z,
      )
      return data.astype(np.float32), seg, properties
  
imports: import pickle
  import os
  import numpy
  from collections import OrderedDict
  from scipy.ndimage.interpolation import map_coordinates
  from multiprocessing.pool import Pool
  from skimage.transform import resize
  from .image_crop import get_case_identifier_from_npz, ImageCropper
  from .path_utils import join_paths
label_desc: Use image node_id 4 for calling the GenericPreprocessor obj's underlying member method code with example usage: obj.preprocess_test_case(data_files, target_spacing, seg_file, force_separate_z) and returns: data,  seg,  properties