code: def main():
      args = parse_args()
      args.cpus = get_number_processors(args)
      args.extra = ast.literal_eval(args.extra)
      print_sys_info(args)
      results = {}
      set_signal()
  
      for dataset in args.dataset.split(","):
          print("Dataset '%s' ..." % dataset)
          dataset_folder = os.path.join(args.datadir, dataset)
          model_folder = os.path.join(args.modeldir, dataset)
          results.update(
              {
                  dataset: benchmark(
                      args, dataset_folder, model_folder, dataset
                  )
              }
          )
          print(
              json.dumps(
                  {dataset: results[dataset]}, indent=2, sort_keys=True
              )
          )
          output = json.dumps(results, indent=2)
          output_file = open(args.output, "w")
          output_file.write(output + "\n")
          output_file.close()
  
      print("All results written to file '%s'" % args.output)
  
imports: import os
  import sys
  import argparse
  import json
  import ast
  from pathlib import Path
  import psutil
  import signal
  import numpy
  import warnings
  import gc
  from scipy import stats
  from memory_profiler import memory_usage
  from sklearn.linear_model import LogisticRegression, LogisticRegressionCV
  from sklearn.linear_model.stochastic_gradient import SGDClassifier
  from sklearn.naive_bayes import BernoulliNB
  from sklearn.neural_network import MLPClassifier
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.preprocessing.data import Binarizer, MaxAbsScaler, MinMaxScaler, Normalizer, PolynomialFeatures, RobustScaler, StandardScaler
  from sklearn.svm.classes import LinearSVC, NuSVC, SVC
  import benchmarks.operators.train
  import benchmarks.operators.score
  from benchmarks.datasets import prepare_dataset, LearningTask
  from hummingbird.ml._utils import sklearn_installed, onnx_ml_tools_installed, onnx_runtime_installed, tvm_installed
label_desc: Use image node_id 8 for calling a global function with example usage: main() without return types