code: def get_versions():
      libraries_to_check = [
          "dill",
          "h5py",
          "keras",
          "lightgbm",
          "numpy",
          "pandas",
          "pathos",
          "python",
          "scikit-learn",
          "scipy",
          "sklearn-deap2",
          "tabulate",
          "tensorflow",
          "xgboost",
      ]
  
      versions = {"auto_ml": auto_ml_version}
  
      for lib in libraries_to_check:
          try:
              versions[lib] = pkg_resources.get_distribution(
                  lib
              ).version
          except:
              pass
  
      return versions
  
imports: import csv
  import datetime
  import numbers
  import os
  import pkg_resources
  import numpy
  import pandas
  import scipy
  from sklearn.datasets import load_boston
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import LabelEncoder
  from sklearn.utils.metaestimators import if_delegate_has_method
  from sklearn.utils import column_or_1d
  from auto_ml._version import __version__
label_desc: Use image node_id 9 for calling a global function with example usage: get_versions() and returns: versions