code: def get_target_spacing(self):
      spacings = self.dataset_properties["all_spacings"]
      target = np.percentile(
          np.vstack(spacings), self.target_spacing_percentile, 0
      )
      return target
  
imports: import os
  import pickle
  import shutil
  from collections import OrderedDict
  from .image_crop import get_case_identifier_from_npz
  from .preprocessing import GenericPreprocessor, PreprocessorFor2D
  from .experiment_utils import *
  from .path_utils import join_paths
label_desc: Use image node_id 2 for calling the ExperimentPlanner obj's underlying member method code with example usage: obj.get_target_spacing() and returns: target