old_contents: """
  One Min (grid search)
  =====================
  
  This example uses an objective function included in MetaOpt. For it's
  implementation see `metaopt.objective.bool.one_min_eight`.
  """
  
  # Future
  from __future__ import absolute_import, division, print_function, \
      unicode_literals, with_statement
  
  # First Party
  from metaopt.core.optimize.optimize import optimize
  from metaopt.objective.bool.one_min_eight import f as one_min_eight
  from metaopt.optimizer.gridsearch import GridSearchOptimizer
  from metaopt.plugin.print.optimum import OptimumPrintPlugin
  
  from metaopt.plugin.print.status import StatusPrintPlugin
  from metaopt.plugin.visualization.best_fitness import VisualizeBestFitnessPlugin
  from metaopt.plugin.visualization.landscape import VisualizeLandscapePlugin
  
  def main():
      optimizer = GridSearchOptimizer()
  
      visualize_landscape_plugin = VisualizeLandscapePlugin()
      visualize_best_fitness_plugin = VisualizeBestFitnessPlugin()
      status_print_plugin = StatusPrintPlugin()
      optimum_print_plugin = OptimumPrintPlugin()
  
      plugins = [
          status_print_plugin,
          optimum_print_plugin,
          visualize_landscape_plugin,
          visualize_best_fitness_plugin
      ]
  
      optimize(f=one_min_eight, optimizer=optimizer, plugins=plugins)
  
      visualize_landscape_plugin.show_surface_plot()
      visualize_landscape_plugin.show_image_plot()
  
      visualize_best_fitness_plugin.show_fitness_invocations_plot()
      visualize_best_fitness_plugin.show_fitness_time_plot()
  
  if __name__ == '__main__':
      main()
  
new_contents: """
  One Min (grid search)
  =====================
  
  This example uses an objective function included in MetaOpt. For it's
  implementation see `metaopt.objective.bool.one_min_eight`.
  """
  
  # Future
  from __future__ import absolute_import, division, print_function, \
      unicode_literals, with_statement
  
  # First Party
  from metaopt.core.optimize.optimize import optimize
  from metaopt.core.paramspec.util import param
  from metaopt.core.returnspec.util.decorator import minimize
  from metaopt.optimizer.gridsearch import GridSearchOptimizer
  from metaopt.optimizer.saes import SAESOptimizer
  from metaopt.plugin.print.optimum import OptimumPrintPlugin
  from metaopt.plugin.print.status import StatusPrintPlugin
  from metaopt.plugin.visualization.best_fitness import VisualizeBestFitnessPlugin
  from metaopt.plugin.visualization.landscape import VisualizeLandscapePlugin
  
  @minimize("Sum")
  @param.multi(param.bool, ["a", "b", "c", "d", "e", "f", "g", "h"])
  def f(**kwargs):
      return sum(kwargs.values())
  
  def main():
      optimizer = SAESOptimizer(mu=1000,lamb=1000)
  
      visualize_landscape_plugin = VisualizeLandscapePlugin()
      visualize_best_fitness_plugin = VisualizeBestFitnessPlugin()
      status_print_plugin = StatusPrintPlugin()
      optimum_print_plugin = OptimumPrintPlugin()
  
      plugins = [
          status_print_plugin,
          optimum_print_plugin,
          visualize_landscape_plugin,
          visualize_best_fitness_plugin
      ]
  
      optimize(f=f, timeout=10, optimizer=optimizer, plugins=plugins)
  
      visualize_landscape_plugin.show_surface_plot()
      visualize_landscape_plugin.show_image_plot()
  
      visualize_best_fitness_plugin.show_fitness_invocations_plot()
      visualize_best_fitness_plugin.show_fitness_time_plot()
  
  if __name__ == '__main__':
      main()
  
subject: Copy one_min objective function to example