old_contents: #!/usr/bin/env python3
  """
  Plots a success-fail curve ( https://openreview.net/forum?id=H1g0piA9tQ )
  Usage:
  plot_success_fail_curve.py model.joblib
  plot_success_fail_curve.py model1.joblib model2.joblib
  
  This script is mostly intended to rapidly visualize success-fail curves
  during model development and testing.
  To make nicely labeled plots formatted to fit the page / column of a
  publication, you should probably write your own script that calls some
  of the same plotting commands.
  """
  import sys
  
  from matplotlib import pyplot
  
  from cleverhans.plot.success_fail import plot_report_from_path
  
  if __name__ == "__main__":
    report_paths = sys.argv[1:]
  
    for report_path in report_paths:
      plot_report_from_path(report_path, label=report_path)
    pyplot.legend()
  
    pyplot.xlim(-.01, 1.)
    pyplot.ylim(0., 1.)
  
    pyplot.show()
  
new_contents: #!/usr/bin/env python3
  """
  Plots a success-fail curve ( https://openreview.net/forum?id=H1g0piA9tQ )
  Usage:
  plot_success_fail_curve.py model.joblib
  plot_success_fail_curve.py model1.joblib model2.joblib
  
  This script is mostly intended to rapidly visualize success-fail curves
  during model development and testing.
  To make nicely labeled plots formatted to fit the page / column of a
  publication, you should probably write your own script that calls some
  of the same plotting commands.
  """
  from matplotlib import pyplot
  import tensorflow as tf
  from cleverhans.utils_tf import silence
  silence()
  # silence call must precede this imports. pylint doesn't like that
  # pylint: disable=C0413
  from cleverhans.compat import flags
  from cleverhans.plot.success_fail import DEFAULT_FAIL_NAMES
  from cleverhans.plot.success_fail import plot_report_from_path
  FLAGS=flags.FLAGS
  
  def main(argv=None):
    report_paths = argv[1:]
  
    fail_names = FLAGS.fail_names.split(',')
  
    for report_path in report_paths:
      plot_report_from_path(report_path, label=report_path, fail_names=fail_names)
    pyplot.legend()
  
    pyplot.xlim(-.01, 1.)
    pyplot.ylim(0., 1.)
  
    pyplot.show()
  
  if __name__ == '__main__':
    flags.DEFINE_string('fail_names', ','.join(DEFAULT_FAIL_NAMES), 'Names of adversarial datasets for failure rate')
    tf.app.run()
  
subject: make fail_names a flag