code: def _load_file(f):
      split = f.split("_")
      as_seed = int(split[-2])
      ta_seed = int(split[-1].split(".")[0])
      np_array = np.load(f)
      return np_array, (as_seed, ta_seed), os.path.getmtime(f)
  
file_path: auto-sklearn/scripts/2015_nips_paper/run/score_ensemble.py
imports: from argparse import ArgumentParser
  import csv
  import glob
  import os
  import time
  import joblib
  import numpy
  from autosklearn.ensembles.ensemble_selection import EnsembleSelection
  from autosklearn.metrics import balanced_accuracy
  from autosklearn.automl_common.common.utils.backend import create
label_desc: Use image node_id 1 for calling a global function with example usage: _load_file(f) and returns: np_array,  as_seed,  ta_seed,  os