def continueOrQuit(self,i):
"""checks if user is ready to start match"""
if nlp.isReady(i):
#reset prior
flat = nltk.probability.UniformProbDist(self.semanticKnowledge.entities())
self.semanticKnowledge.setPriors(flat)
self.episodicBuffer.newMatch()
return self.toAskingState()
elif nlp.classifyYN(i) == -1:
self.current_thread().exit()
#sys.exit()
else:
return "let me know when you are ready"
def continueOrQuit(self, i):
"""checks if user is ready to start match"""
if nlp.isReady(i):
#reset prior
flat = nltk.probability.UniformProbDist(
self.semanticKnowledge.entities())
self.semanticKnowledge.setPriors(flat)
self.episodicBuffer.newMatch()
return self.toAskingState()
elif nlp.classifyYN(i) == -1:
self.current_thread().exit()
#sys.exit()
else:
return "let me know when you are ready"
def startIfReady(self,i):
"""checks if user is ready to start match"""
if nlp.isReady(i):
return self.toAskingState()
else:
return "let me know when you are ready"
def readyToStart(self, msg):
if nlp.isReady(msg):
return self.toBrainlessState()
else:
return "let me know when you are ready...."
def startIfReady(self, i):
"""checks if user is ready to start match"""
if nlp.isReady(i):
return self.toAskingState()
else:
return "let me know when you are ready"