5.2. Markov Brain Supports

To fascilitate the development of Markov brains other classes have been developed. New modules should create their own “module” brain that should inherit from ModuleBrain. Many of them will benefit from using the text generators or choosers as well.

• 5.2.1. ModuleBrain
• ModuleBrain
  • ModuleBrain.Print()
  • ModuleBrain.exit()
  • ModuleBrain.get_actions()
  • ModuleBrain.get_mod_name()
  • ModuleBrain.get_user_apps()
  • ModuleBrain.handle_negotiation()
  • ModuleBrain.is_failed()
  • ModuleBrain.is_ready()
  • ModuleBrain.is_user_app()
  • ModuleBrain.load_preaction_checks()
  • ModuleBrain.open()
  • ModuleBrain.preaction_check()
  • ModuleBrain.reset_ready_state()
  • ModuleBrain.restart()
  • ModuleBrain.should_use_iodine()
  • ModuleBrain.start_iodine()
  • ModuleBrain.stop_iodine()
• 5.2.2. ChooserBase
• ChooserBase
  • ChooserBase.get_all_choices()
  • ChooserBase.next_choice()
  • ChooserBase.num_choices()
  • ChooserBase.set_dist()
  • ChooserBase.set_logger()
  • ChooserBase.set_seed()
• test()
• 5.2.3. CDFChooser
• CDFChooser
  • CDFChooser.next_choice()
  • CDFChooser.num_choices()
  • CDFChooser.parse_line()
• test()
• 5.2.4. MarkovChooser
• MarkovChooser
  • MarkovChooser.get_all_choices()
  • MarkovChooser.get_keys()
  • MarkovChooser.get_values()
  • MarkovChooser.is_state()
  • MarkovChooser.load_from_db()
  • MarkovChooser.load_from_file()
  • MarkovChooser.load_string()
  • MarkovChooser.next_choice()
  • MarkovChooser.num_choices()
  • MarkovChooser.reset()
  • MarkovChooser.set_state()
• test()
• 5.2.5. Distribution
• new_distribution()
• 5.2.6. GenerateText
• GenerateText
  • GenerateText.clear()
  • GenerateText.generate()
  • GenerateText.get_string()