def initWindow(self):
# self.pp.setData(self.test_start)
# something related to frame buffer, still trying to figure out what it is ...
# visual.useFBO=True #if available (try without for comparison)
# improve inter frame interval stability by changing the process priority
if self.process_priority == 'normal':
pass
elif self.process_priority == 'high':
core.rush(True)
elif self.process_priority == 'realtime':
# Only makes a diff compared to 'high' on Windows.
core.rush(True, realtime=True)
else:
print 'Invalid process priority:', self.process_priority, "Process running at normal."
self.process_priority = 'normal'
self.win = visual.Window(fullscr=True,
size=self.win_size,
allowGUI=False,
screen=0,
monitor='testMonitor',
color=self.bgcolor)
self.win.setRecordFrameIntervals(True)
# arise 'warning' level message if inter frame interval exceeds tolerance of 0.05ms
self.win._refreshThreshold = 1 / 60.0 + 0.05
logging.console.setLevel(logging.WARNING)
def run_instructions(instruct_schedule_file, g):
#instructions from schedule file along with audio
core.rush(True)
directory = os.path.dirname(instruct_schedule_file)
fin = open(instruct_schedule_file, 'r')
lines = fin.readlines()
fin.close()
slides = []
for i in lines:
slides.append(i.split(','))
isounds = load_inst_sounds(slides, directory, g)
i = 0
while i < len(slides):
i = max(
i + do_one_slide(slides[i], isounds[i], directory, g), 0
) #do_one_slide may increment or decrement i, depending on whether session_params['right'] or session_params['left'] is pressed--don't let them go back on the first slide
core.rush(False)
def accelerateComputer(slowFast, process_priority, disable_gc):
# process_priority = 'normal' 'high' or 'realtime'
if slowFast:
if process_priority == 'normal':
pass
elif process_priority == 'high':
core.rush(True)
elif process_priority == 'realtime': # Only makes a diff compared to 'high' on Windows.
core.rush(True, realtime = True)
else:
print('Invalid process priority:',process_priority,"Process running at normal.")
process_priority = 'normal'
if disable_gc:
gc.disable()
if slowFast==0: #turn off the speed-up
if disable_gc:
gc.enable()
core.rush(False)
#the ability to set the psychopy experiment runtime process priority
#and disable python garbage collection to see if either influences
#the precision of your frame flips.
import gc, numpy
from psychopy import visual, logging, core, event
nIntervals = 500
visual.useFBO = True #if available (try without for comparison)
disable_gc = False
process_priority = 'normal' # 'high' or 'realtime'
if process_priority == 'normal':
pass
elif process_priority == 'high':
core.rush(True)
elif process_priority == 'realtime':
# Only makes a diff compared to 'high' on Windows.
core.rush(True, realtime=True)
else:
print 'Invalid process priority:', process_priority, "Process running at normal."
process_priority = 'normal'
if disable_gc:
gc.disable()
import matplotlib
matplotlib.use('Qt4Agg') #change this to control the plotting 'back end'
import pylab
win = visual.Window([1280, 1024],
for SOA in SOA_list:
corrected_SOA = SOA - 1 #correct for 10ms audio lag
trial_count += 1
fixation.draw()
win.flip()
#trigger fixation start here
#jitter initial fixation
jitter = random.randint(100, 150)
for frameN in range(jitter):
fixation.draw()
win.flip()
core.rush(True) #give psychopy priority during stimulus presentation
fixation.draw()
win.flip()
if corrected_SOA < 0: #auditory then visual
#beep
beep.play()
#SOA
for frameN in range(-1 * corrected_SOA):
fixation.draw()
win.flip()
#flash
"""
from __future__ import division
import gc, numpy
from psychopy import visual, logging, core, event
nIntervals = 500
visual.useFBO = True # if available (try without for comparison)
disable_gc = False
process_priority = 'normal' # 'high' or 'realtime'
if process_priority == 'normal':
pass
elif process_priority == 'high':
core.rush(True)
elif process_priority == 'realtime':
# Only makes a diff compared to 'high' on Windows.
core.rush(True, realtime=True)
else:
print 'Invalid process priority:', process_priority, "Process running at normal."
process_priority = 'normal'
if disable_gc:
gc.disable()
import matplotlib
matplotlib.use('Qt4Agg') # change this to control the plotting 'back end'
import pylab
win = visual.Window([1280, 1024], fullscr=True, allowGUI=False, waitBlanking=True)
from __future__ import division
from psychopy import visual, data, event, core, gui, parallel
import time
import numpy as np
from numpy import random
import os
import math
import pandas
send_eegtriggers = False
trigger_on_time = .04
core.rush(True)
if send_eegtriggers:
# Address for the parallel port in the biosemi setup
parallel.setPortAddress(0xC020)
# this sends the trigger, usually initialize it at zero
# then the trigger, then a wait-function for e.g. 30 ms, and zero again
parallel.setData(0)
core.wait(trigger_on_time)
#define amounts of everything
Ngratings = 2
Nresp = 2
Nfeedback = 2
Nrules = 2
Nparts = 8 #per block
Nblocks = 2
mean_switch = 30
std_switch = 15 #range around mean switch