code: def run_all_test(self, pipeline):
      for file_name in self.files:
          file_path = self.files[file_name]
  
          self.run_test(pipeline, file_name, file_path)
  
imports: import bz2
  import urllib.request
  import numpy
  import datetime
  import line_profiler
  import os
  from sklearn.datasets import load_svmlight_file
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import ExtraTreesClassifier
  from sklearn.feature_selection import SelectFromModel
  from nni.algorithms.feature_engineering.gradient_selector import FeatureGradientSelector
label_desc: Use image node_id 2 for calling the Benchmark obj's underlying member method code with example usage: obj.run_all_test(pipeline) without return types