def trainingGame(self):
N=smartRawInput("how many numbers",12,int)
fstep=smartRawInput("which freq step",0.04,float)
threshold=smartRawInput("max deviation (s) before increasing/decreasing numbers",0.15,float)
Ninc=smartRawInput("how many numbers are added when threshold is reached",6,int)
freq=1
while True:
self.displayLearningMaterial(N,freq)
ans=raw_input("your answer : ")
if(self.solution!=ans):
freq+=fstep
print("wrong")
print("the solution: %s"%(self.solution))
if(abs(freq-1)>threshold)and(N-Ninc>0):
if(N-Ninc>0):
N=N-Ninc
freq=1
print("Threshold reached : settings are now %.2f for %d items"%(freq,N))
else:
print("success")
freq-=fstep
if(abs(freq-1)>threshold):
N=N+Ninc
freq=1
print("Threshold reached : settings are now %.2f for %d items"%(freq,N))
print("current freq : %.2f "%(freq))
d=raw_input("enter to continue, q to quit : ")
if(d=="q"):
print("you stopped at %.2f for %d items"%(freq,N))
return
def trainingRT(self): # I am a cpy paste moron here
dics=profileLoaderForReactionTraining('user/profile.properties','c')
loadSet="n"
if(len(dics)!=0):
loadSet = smartRawInput('we have found special settings for this feat, load (y/n)',"y")
if(loadSet=="y"):
listOfSystem=[system["system"] for system in dics] # get the systems as a list
pick=multipleChoice(listOfSystem) # user has multiple choice
selectedSystem=dics[pick] # ... no pun intended
f1=open(csvReactionTime2, 'a')
nbCards=-1 #value by default to avoid bug
if(loadSet!="y"):
raw_input('no system for this feat has been selected, but you can work on single items push enter')
nbCards = smartRawInput('how many cards ? ',"2",int)
# COULD BE IMPROVED TO CREATE A SYSTEM
letter = smartRawInput('write a single letter to represent this system (keep the same letter later) ',"Y")
selectedSystem={'imagesSize': {letter: str(nbCards)}, 'system': letter}
pref=smartRawInput("full cards (f) of corner (r) ?","f")
if(pref=="r"):
self.cardPrefix="corner"
coef=smartRawInput("attenuation coefficient in %",25,float)
meta_coef=smartRawInput("meta attenuation coefficient in %",5,float)
meta_coef=1+float(meta_coef)/100
c=1+float(coef)/100
t=smartRawInput("how much practice in seconds",180,float)
inhib=smartRawInput("minimal gap between items",3,int)
record = smartRawInput('record data (y/n)',"y")
lastIt=lastItems(inhib)
try:
controlStructure = pickle.load( open( pickleRt, "rb" ) )
except : # if no data stored start with a home made dictionnary
controlStructure=None
if((controlStructure==None)or(selectedSystem['system'] not in controlStructure["system"])): # the way to get system wont work with digits only
# if a system is already in we do not update, can cause problem if the system of the user is updated
controlStructure=buildAStructure(controlStructure,selectedSystem,mode="c")
controlStructure["infos"]["compteur"]=controlStructure["infos"]["compteur"]+1
trials=0
self.pgInit()
self.write_instruction("enter to pass, escape to quit", self.font_stimuli)
self.wait_enter()
startExp=time.clock()
######## TRAINING LOOP ########
start = time.clock()
last_time = start
cont=True
pg.display.flip()
items,lastIt = displayItemForTrainingRT(lastIt, controlStructure,selectedSystem,nbCards)
itemsToDisplay=self.textTopictureNotationForCollection(items)
self.display_pictures(itemsToDisplay)
while cont:
for event in pg.event.get():
if event.type==pg.KEYDOWN:
curent=time.clock()
trials+=1
if event.key == pg.K_ESCAPE or((curent-startExp)>t):
pickle.dump( controlStructure, open( pickleRt, "wb" ) )
self.write_instruction("during your training during %d s, you have seen %d items"%(t,trials))
self.wait_enter()
cont = False
break
timeElapsed=curent-last_time
timeElapsed_tosend=timeElapsed
if(timeElapsed>6)or(timeElapsed<0.3):
timeElapsed_tosend=-1
if(record=="y")and(timeElapsed_tosend!=-1):
controlStructure=updateControlStructure(controlStructure,selectedSystem,nbCards,items,timeElapsed_tosend,c,meta_coef)
f1.write(str(controlStructure["infos"]["compteur"])+";"+selectedSystem['system']+";"+str(trials)+";"+str(time.time())+";"+str(timeElapsed)+";"+"".join(items)+ ";geometricOdd;"+str(inhib)+";"+str(c)+";"+str(meta_coef)+";"+str(t)+"\n")
last_time=time.clock()
items,lastIt = displayItemForTrainingRT(lastIt, controlStructure,selectedSystem,nbCards)
itemsToDisplay=self.textTopictureNotationForCollection(items)
self.display_pictures(itemsToDisplay)
pg.quit()
printSumStruc(controlStructure,selectedSystem)
def trainingGame(self,mode="amort"): # TODO: some functions must be taken from a parent class reserved for reaction time training
if(mode=="amort"):
dics=profileLoaderForReactionTraining('user/profile.properties','d')
loadSet="n"
if(len(dics)!=0):
loadSet = smartRawInput('we have found special settings for this feat, load (y/n)',"y")
if(loadSet=="y"):
listOfSystem=[system["system"] for system in dics] # get the systems as a list
pick=multipleChoice(listOfSystem) # user has multiple choice
selectedSystem=dics[pick] # ... no pun intended
f1=open(csvReactionTime2, 'a')
nbDigits=-1 #value by default to avoid bug
if(loadSet!="y"):
raw_input('no system for this feat has been selected, but you can work on single items push enter')
nbDigits = smartRawInput('how many digits ? ',"2",int)
# COULD BE IMPROVED TO CREATE A SYSTEM
letter = smartRawInput('write a single letter to represent this system (keep the same letter later) ',"Z")
selectedSystem={'imagesSize': {letter: str(nbDigits)}, 'system': letter}
coef=smartRawInput("attenuation coefficient in %",25,float)
meta_coef=smartRawInput("meta attenuation coefficient in %",5,float)
meta_coef=1+float(meta_coef)/100
c=1+float(coef)/100
t=smartRawInput("how much practice in seconds",180,float)
inhib=smartRawInput("minimal gap between items",3,int)
sepSign=smartRawInput("separator between numbers(n for none)","|")
if(sepSign=="n"):
sepSign=""
record = smartRawInput('record data (y/n)',"y")
lastIt=lastItems(inhib)
try:
controlStructure = pickle.load( open( pickleRt, "rb" ) )
except : # if no data stored start with a home made dictionnary
controlStructure=None
if((controlStructure==None)or(selectedSystem['system'] not in controlStructure["system"])): # the way to get system wont work with digits only
# if a system is already in we do not update, can cause problem if the system of the user is updated
controlStructure=buildAStructure(controlStructure,selectedSystem,mode="d")
controlStructure["infos"]["compteur"]=controlStructure["infos"]["compteur"]+1
trials=0
waiter()
startExp=time.clock()
######## TRAINING LOOP ########
while(True):
startTrial= time.clock()
trials+=1
items,lastIt = displayItemForTrainingRT(lastIt, controlStructure,selectedSystem,nbDigits,sepSign)
Userinput=raw_input("")
nt=time.clock()
if (Userinput=="q")or((nt-startExp)>t):
pickle.dump( controlStructure, open( pickleRt, "wb" ) )
print("during your training during %d s, you have seen %d items"%(t,trials))
printSumStruc(controlStructure,selectedSystem)
break
timeElapsed=nt-startTrial
timeElapsed_tosend=timeElapsed
if(timeElapsed>6)or(timeElapsed<0.3):
timeElapsed_tosend=-1
if(record=="y")and(timeElapsed_tosend!=-1):
controlStructure=updateControlStructure(controlStructure,selectedSystem,nbDigits,items,timeElapsed_tosend,c,meta_coef)
f1.write(str(controlStructure["infos"]["compteur"])+";"+selectedSystem['system']+";"+str(trials)+";"+str(time.time())+";"+str(timeElapsed)+";"+"".join(items)+ ";geometricOdd;"+str(inhib)+";"+str(c)+";"+str(meta_coef)+";"+str(t)+"\n")
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from mnemy.disciplines import Binaries, Words, Numbers, SpokenNumbers, Dates, profileLoader, errorsLoader, reportDatas,loadAndCheckJourney, Cards, AbstractImages,NameAndFaces
from mnemy.utils import smartRawInput
import time
# TODO : avoid permission denied error by looping
if __name__ == "__main__":
while True:
training=smartRawInput("Special training(s) or test yourself(t)","s")
if(training=="s"):
train=raw_input("pick your discipline (d=digits,c=Cards,k=spokenNumber) : ")
if(train=="k"):
ff=SpokenNumbers()
elif(train=="d"):
ff=Numbers()
elif(train=="c"):
ff=Cards()
else:
raise Exception("sorry no training game for this feat")
ff.trainingGame()
else:
#===========================================================================
# Load Discipline Parameters
#===========================================================================
feat=raw_input("pick your discipline (d=digits,b=binaries,w=words,h=historicalDates,s=SpeedCards,c=Cards,a=AbstractImages,n=NameAndFaces) : ")
