def run_system_world():
# Switch to the system world temporarily, retaining the old world state.
game.currentworld = game.world
game.world = world.load(load_world("system"))
io.output("--- Entering System World ---")
game.world.protagonist.globalcommands = game.currentworld.protagonist.globalcommands
game.world.protagonist.commands["look"]()
while True:
print
try:
cmd = io.input("> ")
except (KeyboardInterrupt, EOFError):
game.world = game.currentworld
save_and_quit()
if cmd in ("done", "leave"):
break
game.world.protagonist.do_command(cmd)
io.output("--- Leaving System World ---")
game.world = game.currentworld
game.currentworld = None
game.world.protagonist.commands["look"]()
def mainloop():
while game.playing:
print
try:
cmd = io.input("> ")
except (KeyboardInterrupt, EOFError):
save_and_quit()
game.world.protagonist.do_command(cmd)
import io_basic as io
from library import npc
mybot = npc.MarkovNPC("MyBot", "MarkovGen Dummy Bot")
mybot.vars["markov"] = dict()
io.output("""\
Markov Chain Generator
Use this tool to create brains for Markov chain NPCs. Please enter sentences to "teach" the bot; do note that due to the nature of Markov bots, these words will be mashed up and rearranged once enough sentences have been entered. Shoot for at least 15-25 sentences.
At any time, a blank line or "!say ___" will simulate speaking to the bot. Type "!quit" to exit (and output the Markov chains).
""", fast=True)
while 1:
sentence = io.input("Add a sentence: ")
if sentence == "!quit":
break
if sentence[0:4] == "!say" or sentence == "":
if mybot.vars["markov"]:
if sentence != "":
said = sentence[4:]
else:
said = ""
io.output("The bot says: " + mybot.walk_chain(said=said))
continue
else:
io.output("Please add a sentence to the bot.")
continue
