code: def load_pickle(file):
      with open(file, "rb") as f:
          data = pickle.load(f)
      return data
  
file_path: PaddleSeg/contrib/MedicalSeg/nnunet/ensemble.py
imports: import argparse
  import os
  import sys
  import ast
  import json
  import numpy
  import pickle
  import shutil
  from copy import deepcopy
  from multiprocessing import Pool
  from itertools import combinations
  from nnunet.utils import save_segmentation_nifti_from_softmax, load_remove_save, aggregate_scores, determine_postprocessing
label_desc: Use image node_id 2 for calling a global function with example usage: load_pickle(file) and returns: data