5. “Brains” to control the fingers and eyes

These are the modules which actually drive the applications/other objects defined earlier. Of course, any new brains can be created and need not fit into this structure, but the “control” structure of the ConsoleUser expects that the Brain type will be specified in a config file which can then be used to load the user, for example.

Contents:

• Brain
  • Brain.get_remote_funcs()
  • Brain.main()
• get_brain()
• 5.1. Markov Chains Brain
• MarkovBrain
  • MarkovBrain.get_remote_funcs()
  • MarkovBrain.is_failed()
  • MarkovBrain.main()
  • MarkovBrain.next_action()
  • MarkovBrain.next_module()
  • MarkovBrain.valid_transition()
• 5.2. Markov Brain Supports
  • 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()