#! /usr/local/bin/python2.5
from random import random
from psychopy import *

#create your list of stimuli
stimList = []
for ori in range(90,180,30):
	for sf in [0.5, 1.0, 2.0]:
		stimList.append( 
			{'sf':sf, 'ori':ori} #this is a python 'dictionary'
			)
		
#organise them with the trial handler
trials = data.TrialHandler(stimList,10)
trials.data.addDataType('choice')#this will help store things with the stimuli
trials.data.addDataType('RT')#add as many types as you like

#run the experiment
nDone=0
for thisTrial in trials: #handler can act like a for loop
	
	#simulate some data
	thisReactionTime = random()+float(thisTrial['sf'])/2.0
	thisChoice = round(random())
	trials.data.add('RT', thisReactionTime) #add the data to our set
	trials.data.add('choice', thisChoice) 
	nDone += 1  #just for a quick reference
	
	print 'trial %i had position %s in the list (sf=%.1f)' \
		  %(nDone, trials.thisIndex, thisTrial['sf'])
	
#after the experiment
print '\n'
trials.printAsText(stimOut=['sf','ori'], #write summary data to screen 
				  dataOut=['RT_mean','RT_std', 'choice_raw'])
trials.saveAsText(fileName='testData', # also write summary data to a text file
				  stimOut=['sf','ori'], 
				  dataOut=['RT_mean','RT_std', 'choice_raw'])


