class Audio(Stimulus):
"""A simple audio stimulus."""
def __init__(self, window, sound, text=None, *args, **kwargs):
"""Constructor for the Audio stimulus.
Arguments:
sound - A number (pitch in Hz), string for a note,
or string for a filename.
For more info, see:
http://www.psychopy.org/api/sound.html
text - Text to display on screen (Optional).
Additional args and kwargs are passed to the
sound.Sound constructor.
"""
super(Audio, self).__init__(window)
self.sound = Sound(sound, *args, **kwargs)
self.text = text
def show(self):
self.display_text(self.text)
self.play_sound()
return super(Audio, self).show()
def play_sound(self):
self.sound.play()
core.wait(self.sound.getDuration())
return None
def __init__(self, TR=1.0, volumes=10, sync='5', skip=0, sound=False):
"""Class for a character-emitting metronome thread (emulate MR sync pulse).
Aim: Allow testing of temporal robustness of fMRI scripts by emulating
a hardware sync pulse. Adds an arbitrary 'sync' character to the key
buffer, with sub-millisecond precision (less precise if CPU is maxed).
Recommend: TR=1.000 or higher and less than 100% CPU. Shorter TR
--> higher CPU load.
Parameters:
TR: seconds per whole-brain volume
volumes: number of 3D volumes to obtain in a given scanning run
sync: character used as flag for sync timing, default='5'
skip: how many frames to silently omit initially during T1
stabilization, no sync pulse. Not needed to test script
timing, but will give more accurate feel to start of run
sound: play a tone, slightly shorter duration than TR
"""
if TR < 0.1:
raise ValueError, 'SyncGenerator: whole-brain TR < 0.1 not supported'
self.TR = TR
self.hogCPU = 0.035
self.timesleep = self.TR
self.volumes = int(volumes)
self.sync = sync
self.skip = skip
self.playSound = sound
if self.playSound:
self.sound = Sound(secs=self.TR-.08, octave=6, autoLog=False)
self.sound.setVolume(0.15)
self.clock = core.Clock()
self.stopflag = False
threading.Thread.__init__(self, None, 'SyncGenerator', None)
self.running = False
def __init__(self,
TR=1.0,
TA=1.0,
volumes=10,
sync='5',
skip=0,
sound=False,
**kwargs):
"""Class for a character-emitting metronome thread
(emulate MR sync pulse).
Aim: Allow testing of temporal robustness of fMRI scripts by emulating
a hardware sync pulse. Adds an arbitrary 'sync' character to the key
buffer, with sub-millisecond precision (less precise if CPU is maxed).
Recommend: TR=1.000 or higher and less than 100% CPU. Shorter TR
--> higher CPU load.
Parameters:
TR: seconds between volume acquisitions
TA: seconds to acquire one volume
volumes: number of 3D volumes to obtain in a given scanning run
sync: character used as flag for sync timing, default='5'
skip: how many frames to silently omit initially during T1
stabilization, no sync pulse. Not needed to test script
timing, but will give more accurate feel to start of run.
aka "discdacqs".
sound: simulate scanner noise
"""
if TR < 0.1:
msg = 'SyncGenerator: whole-brain TR < 0.1 not supported'
raise ValueError(msg)
self.TR = TR
self.TA = TA
self.hogCPU = 0.035
self.timesleep = self.TR
self.volumes = int(volumes)
self.sync = sync
self.skip = skip
self.playSound = sound
if self.playSound: # pragma: no cover
self.sound1 = Sound(800, secs=self.TA, volume=0.15, autoLog=False)
self.sound2 = Sound(813, secs=self.TA, volume=0.15, autoLog=False)
self.clock = core.Clock()
self.stopflag = False
threading.Thread.__init__(self, None, 'SyncGenerator', None)
self.running = False
def play_file(path, msg, trigger_port, trigger_twice=False):
all_events.append({
'what': "audio played",
'when': core.getTime() - experiment_start,
'content': path,
'message': msg,
'response': None
})
msg = visual.TextStim(win, text=msg)
msg.draw()
win.flip()
mySound = Sound(path)
if (trigger_port):
sendTrigger(trigger_port, duration=0.01)
mySound.play()
core.wait(mySound.getDuration())
if (trigger_port and trigger_twice):
sendTrigger(trigger_port, duration=0.01)
def __init__(self, TR=1.0, TA=1.0, volumes=10, sync='5', skip=0,
sound=False, **kwargs):
"""Class for a character-emitting metronome thread
(emulate MR sync pulse).
Aim: Allow testing of temporal robustness of fMRI scripts by emulating
a hardware sync pulse. Adds an arbitrary 'sync' character to the key
buffer, with sub-millisecond precision (less precise if CPU is maxed).
Recommend: TR=1.000 or higher and less than 100% CPU. Shorter TR
--> higher CPU load.
Parameters:
TR: seconds between volume acquisitions
TA: seconds to acquire one volume
volumes: number of 3D volumes to obtain in a given scanning run
sync: character used as flag for sync timing, default='5'
skip: how many frames to silently omit initially during T1
stabilization, no sync pulse. Not needed to test script
timing, but will give more accurate feel to start of run.
aka "discdacqs".
sound: simulate scanner noise
"""
if TR < 0.1:
msg = 'SyncGenerator: whole-brain TR < 0.1 not supported'
raise ValueError(msg)
self.TR = TR
self.TA = TA
self.hogCPU = 0.035
self.timesleep = self.TR
self.volumes = int(volumes)
self.sync = sync
self.skip = skip
self.playSound = sound
if self.playSound: # pragma: no cover
self.sound1 = Sound(800, secs=self.TA, volume=0.15, autoLog=False)
self.sound2 = Sound(813, secs=self.TA, volume=0.15, autoLog=False)
self.clock = core.Clock()
self.stopflag = False
threading.Thread.__init__(self, None, 'SyncGenerator', None)
self.running = False
class SyncGenerator(threading.Thread):
def __init__(self, TR=1.0, volumes=10, sync="5", skip=0, sound=False):
"""Class for a character-emitting metronome thread (emulate MR sync pulse).
Aim: Allow testing of temporal robustness of fMRI scripts by emulating
a hardware sync pulse. Adds an arbitrary 'sync' character to the key
buffer, with sub-millisecond precision (less precise if CPU is maxed).
Recommend: TR=1.000 or higher and less than 100% CPU. Shorter TR
--> higher CPU load.
Parameters:
TR: seconds per whole-brain volume
volumes: number of 3D volumes to obtain in a given scanning run
sync: character used as flag for sync timing, default='5'
skip: how many frames to silently omit initially during T1
stabilization, no sync pulse. Not needed to test script
timing, but will give more accurate feel to start of run.
aka "discdacqs".
sound: play a tone, slightly shorter duration than TR
"""
if TR < 0.1:
raise ValueError, "SyncGenerator: whole-brain TR < 0.1 not supported"
self.TR = TR
self.hogCPU = 0.035
self.timesleep = self.TR
self.volumes = int(volumes)
self.sync = sync
self.skip = skip
self.playSound = sound
if self.playSound:
self.sound = Sound(secs=self.TR - 0.08, octave=6, autoLog=False)
self.sound.setVolume(0.15)
self.clock = core.Clock()
self.stopflag = False
threading.Thread.__init__(self, None, "SyncGenerator", None)
self.running = False
def run(self):
self.running = True
if self.skip:
if self.playSound:
self.sound.play()
core.wait(self.TR * self.skip) # emulate T1 stabilization without data collection
self.clock.reset()
for vol in range(1, self.volumes + 1):
if self.playSound:
self.sound.play()
if self.stopflag:
break
# "emit" a sync pulse by placing a key in the buffer:
event._onPygletKey(symbol=self.sync, modifiers=None, emulated=True)
# wait for start of next volume, doing our own hogCPU for tighter sync:
core.wait(self.timesleep - self.hogCPU, hogCPUperiod=0)
while self.clock.getTime() < vol * self.TR:
pass # hogs the CPU for tighter sync
self.running = False
def stop(self):
self.stopflag = True
class AudioScene(object):
def __init__(self, win, manager, soundFile, fixationCross):
self.win = win
self.manager = manager
self.sound = Sound(soundFile)
self.fixationCross = fixationCross
self.max_frame = math.ceil(
self.sound.getDuration() * constants.FRAME_RATE +
constants.AUDIO_DELAY * constants.FRAME_RATE)
self.delay_frames = math.ceil(constants.AUDIO_DELAY *
constants.FRAME_RATE)
self.current_frame = 0
def update(self):
self.current_frame += 1
if self.current_frame == self.delay_frames:
self.sound.play()
self.manager.eyeTracker.sound_start()
if self.current_frame >= self.max_frame:
self.manager.set_response_scene()
self.draw()
def draw(self):
self.fixationCross.draw()
def __init__(self, window, sound, text=None, *args, **kwargs):
"""Constructor for the Audio stimulus.
Arguments:
sound - A number (pitch in Hz), string for a note,
or string for a filename.
For more info, see:
http://www.psychopy.org/api/sound.html
text - Text to display on screen (Optional).
Additional args and kwargs are passed to the
sound.Sound constructor.
"""
super(Audio, self).__init__(window)
self.sound = Sound(sound, *args, **kwargs)
self.text = text
def test_update(sound_mock):
manager = Mock()
sound_mock.return_value = Sound()
sound_mock.return_value.duration = 1
scene = AudioScene(Mock(), manager, Mock(), Mock())
scene.draw = Mock()
#Act
scene.update()
#Assert
manager.set_response_scene.assert_not_called()
#Act
[
scene.update() for _ in range(
math.ceil(constants.FRAME_RATE +
constants.FRAME_RATE * constants.AUDIO_DELAY - 1))
]
#Assert
manager.set_response_scene.assert_called_once()
assert scene.draw.call_count == math.ceil(constants.FRAME_RATE +
constants.FRAME_RATE *
constants.AUDIO_DELAY)
def scene(sound_mock, fileMock):
sound_mock.return_value = Sound()
sound_mock.return_value.duration = 1
return AudioScene(Mock(), Mock(), sound_mock, Mock())
height=0.15,
antialias=True,
bold=False,
italic=False,
alignHoriz='center',
alignVert='center',
fontFiles=(),
wrapWidth=None,
flipHoriz=False,
flipVert=False,
languageStyle='LTR',
name=None,
autoLog=None)
#instantiating the sound stimulus to save time
stimulus = Sound(os.path.join(path_stimuli, stimulus_name + '.wav'))
stop_stim = Sound(stop_wav)
#initializing the index to get the first image in the array
stim_idx = 0
#creation of the duration variables
task_duration, baseline_duration = 20, 20
end_stimuli = 420 #20*11baseline + 20*10baseline
baselines_onset = np.arange(1, end_stimuli, 40)
baselines_offset = baselines_onset + 19
task_onset = np.arange(21, end_stimuli - 20, 40)
task_offset = task_onset + 19
###############################################################################
def __init__(self, tracker, win):
'''Initialize
tracker: an EyeLink instance (connection)
win: the PsychoPy window we use for calibration'''
pylink.EyeLinkCustomDisplay.__init__(self)
# background and target color
self._backgroundColor = win.color
self._foregroundColor = 'black'
# window to use for calibration
self._display = win
# make the mouse cursor invisible
self._display.mouseVisible = False
# display width & height
self._w, self._h = win.size
# resolution fix for Mac retina displays
if 'Darwin' in platform.system():
sys_cmd = 'system_profiler SPDisplaysDataType | grep Retina'
is_ret = os.system(sys_cmd)
if is_ret == 0:
self._w = int(self._w / 2.0)
self._h = int(self._h / 2.0)
# store camera image pixels in an array
self._imagebuffer = array.array('I')
# store the color palette for camera image drawing
self._pal = None
# initial size of the camera image
self._size = (384, 320)
# initial mouse configuration
self._mouse = event.Mouse(False)
self.last_mouse_state = -1
# camera image title
self._msgHeight = self._size[1] / 16.0
self._title = visual.TextStim(self._display,
'',
wrapWidth=self._w,
color=self._foregroundColor)
# calibration target
self._targetSize = self._w / 64.
self._tar = visual.Circle(self._display,
size=self._targetSize,
lineColor=self._foregroundColor,
lineWidth=self._targetSize / 2)
# calibration sounds (beeps)
self._target_beep = Sound('type.wav', stereo=True)
self._error_beep = Sound('error.wav', stereo=True)
self._done_beep = Sound('qbeep.wav', stereo=True)
# a reference to the tracker connection
self._tracker = tracker
# for a clearer view we always enlarge the camera image
self.imgResize = None
class EyeLinkCoreGraphicsPsychoPy(pylink.EyeLinkCustomDisplay):
def __init__(self, tracker, win):
'''Initialize
tracker: an EyeLink instance (connection)
win: the PsychoPy window we use for calibration'''
pylink.EyeLinkCustomDisplay.__init__(self)
# background and target color
self._backgroundColor = win.color
self._foregroundColor = 'black'
# window to use for calibration
self._display = win
# make the mouse cursor invisible
self._display.mouseVisible = False
# display width & height
self._w, self._h = win.size
# resolution fix for Mac retina displays
if 'Darwin' in platform.system():
sys_cmd = 'system_profiler SPDisplaysDataType | grep Retina'
is_ret = os.system(sys_cmd)
if is_ret == 0:
self._w = int(self._w / 2.0)
self._h = int(self._h / 2.0)
# store camera image pixels in an array
self._imagebuffer = array.array('I')
# store the color palette for camera image drawing
self._pal = None
# initial size of the camera image
self._size = (384, 320)
# initial mouse configuration
self._mouse = event.Mouse(False)
self.last_mouse_state = -1
# camera image title
self._msgHeight = self._size[1] / 16.0
self._title = visual.TextStim(self._display,
'',
wrapWidth=self._w,
color=self._foregroundColor)
# calibration target
self._targetSize = self._w / 64.
self._tar = visual.Circle(self._display,
size=self._targetSize,
lineColor=self._foregroundColor,
lineWidth=self._targetSize / 2)
# calibration sounds (beeps)
self._target_beep = Sound('type.wav', stereo=True)
self._error_beep = Sound('error.wav', stereo=True)
self._done_beep = Sound('qbeep.wav', stereo=True)
# a reference to the tracker connection
self._tracker = tracker
# for a clearer view we always enlarge the camera image
self.imgResize = None
def setup_cal_display(self):
'''Set up the calibration display '''
self._display.clearBuffer()
def clear_cal_display(self):
'''Clear the calibration display'''
self._display.color = self._backgroundColor
self._display.flip()
def exit_cal_display(self):
'''Exit the calibration/validation routine'''
self.clear_cal_display()
def record_abort_hide(self):
'''This function is called if aborted'''
pass
def erase_cal_target(self):
'''Erase the target'''
self.clear_cal_display()
def draw_cal_target(self, x, y):
'''Draw the target'''
self.clear_cal_display()
# target position
xVis = (x - self._w / 2.0)
yVis = (self._h / 2.0 - y)
# draw the calibration target
self._tar.pos = (xVis, yVis)
self._tar.draw()
self._display.flip()
def play_beep(self, beepid):
''' Play a sound during calibration/drift-correction.'''
if beepid in [pylink.CAL_TARG_BEEP, pylink.DC_TARG_BEEP]:
self._target_beep.play()
elif beepid in [pylink.CAL_ERR_BEEP, pylink.DC_ERR_BEEP]:
self._error_beep.play()
elif beepid in [pylink.CAL_GOOD_BEEP, pylink.DC_GOOD_BEEP]:
self._done_beep.play()
core.wait(0.4)
def getColorFromIndex(self, colorindex):
'''Retrieve the colors for camera image elements, e.g., crosshair'''
if colorindex == pylink.CR_HAIR_COLOR:
return (255, 255, 255)
elif colorindex == pylink.PUPIL_HAIR_COLOR:
return (255, 255, 255)
elif colorindex == pylink.PUPIL_BOX_COLOR:
return (0, 255, 0)
elif colorindex == pylink.SEARCH_LIMIT_BOX_COLOR:
return (255, 0, 0)
elif colorindex == pylink.MOUSE_CURSOR_COLOR:
return (255, 0, 0)
else:
return (128, 128, 128)
def draw_line(self, x1, y1, x2, y2, colorindex):
'''Draw a line '''
color = self.getColorFromIndex(colorindex)
# scale the coordinates
w, h = self._img.im.size
x1 = int(x1 / 192 * w)
x2 = int(x2 / 192 * w)
y1 = int(y1 / 160 * h)
y2 = int(y2 / 160 * h)
# draw the line
if not any([x < 0 for x in [x1, x2, y1, y2]]):
self._img.line([(x1, y1), (x2, y2)], color)
def draw_lozenge(self, x, y, width, height, colorindex):
''' draw a lozenge to show the defined search limits '''
color = self.getColorFromIndex(colorindex)
# scale the coordinates
w, h = self._img.im.size
x = int(x / 192 * w)
y = int(y / 160 * h)
width = int(width / 192 * w)
height = int(height / 160 * h)
# draw the lozenge
if width > height:
rad = int(height / 2.)
if rad == 0:
return
else:
self._img.line([(x + rad, y), (x + width - rad, y)], color)
self._img.line([(x + rad, y + height),
(x + width - rad, y + height)], color)
self._img.arc([x, y, x + rad * 2, y + rad * 2], 90, 270, color)
self._img.arc([x + width - rad * 2, y, x + width, y + height],
270, 90, color)
else:
rad = int(width / 2.)
if rad == 0:
return
else:
self._img.line([(x, y + rad), (x, y + height - rad)], color)
self._img.line([(x + width, y + rad),
(x + width, y + height - rad)], color)
self._img.arc([x, y, x + rad * 2, y + rad * 2], 180, 360,
color)
self._img.arc(
[x, y + height - rad * 2, x + rad * 2, y + height], 0, 180,
color)
def get_mouse_state(self):
'''Get the current mouse position and status'''
w, h = self._display.size
X, Y = self._mouse.getPos()
# scale the mouse position so the cursor stay on the camera image
mX = (X + w / 2.0) / w * self._size[0] / 2.0
mY = (h / 2.0 - Y) / h * self._size[1] / 2.0
state = self._mouse.getPressed()[0]
return ((mX, mY), state)
def get_input_key(self):
'''This function is repeatedly pooled to check
keyboard events'''
ky = []
for keycode, modifier in event.getKeys(modifiers=True):
k = pylink.JUNK_KEY
if keycode == 'f1': k = pylink.F1_KEY
elif keycode == 'f2': k = pylink.F2_KEY
elif keycode == 'f3': k = pylink.F3_KEY
elif keycode == 'f4': k = pylink.F4_KEY
elif keycode == 'f5': k = pylink.F5_KEY
elif keycode == 'f6': k = pylink.F6_KEY
elif keycode == 'f7': k = pylink.F7_KEY
elif keycode == 'f8': k = pylink.F8_KEY
elif keycode == 'f9': k = pylink.F9_KEY
elif keycode == 'f10': k = pylink.F10_KEY
elif keycode == 'pageup': k = pylink.PAGE_UP
elif keycode == 'pagedown': k = pylink.PAGE_DOWN
elif keycode == 'up': k = pylink.CURS_UP
elif keycode == 'down': k = pylink.CURS_DOWN
elif keycode == 'left': k = pylink.CURS_LEFT
elif keycode == 'right': k = pylink.CURS_RIGHT
elif keycode == 'backspace': k = ord('\b')
elif keycode == 'return': k = pylink.ENTER_KEY
elif keycode == 'space': k = ord(' ')
elif keycode == 'escape': k = 27
elif keycode == 'tab': k = ord('\t')
elif keycode in string.ascii_letters:
k = ord(keycode)
elif k == pylink.JUNK_KEY:
k = 0
# plus & minus signs for CR adjustment
if keycode in ['num_add', 'equal']:
k = ord('+')
if keycode in ['num_subtract', 'minus']:
k = ord('-')
# handles key modifier
if modifier['alt'] is True: mod = 256
elif modifier['ctrl'] is True: mod = 64
elif modifier['shift'] is True: mod = 1
else:
mod = 0
ky.append(pylink.KeyInput(k, mod))
return ky
def exit_image_display(self):
'''Clear the camera image'''
self.clear_cal_display()
self._display.flip()
def alert_printf(self, msg):
'''Print error messages.'''
print("Error: " + msg)
def setup_image_display(self, width, height):
''' set up the camera image
return 1 to show high-resolution camera images'''
self.last_mouse_state = -1
self._size = (width, height)
return 1
def image_title(self, text):
'''Draw title text below the camera image'''
self._title.text = text
def draw_image_line(self, width, line, totlines, buff):
'''Display image pixel by pixel, line by line'''
for i in range(width):
try:
self._imagebuffer.append(self._pal[buff[i]])
except:
pass
if line == totlines:
bufferv = self._imagebuffer.tostring()
img = Image.frombytes("RGBX", (width, totlines), bufferv)
self._img = ImageDraw.Draw(img)
# draw the cross hairs
self.draw_cross_hair()
# scale the camera image
self.imgResize = img.resize((width * 2, totlines * 2))
cam_img = visual.ImageStim(self._display,
image=self.imgResize,
units='pix')
cam_img.draw()
# draw the camera image title
self._title.pos = (0, -totlines - self._msgHeight)
self._title.draw()
self._display.flip()
# clear the camera image buffer
self._imagebuffer = array.array('I')
def set_image_palette(self, r, g, b):
'''Given a set of RGB colors, create a list of 24bit numbers
representing the color palette.
For instance, RGB of (1,64,127) would be saved as 82047,
or 00000001 01000000 011111111'''
self._imagebuffer = array.array('I')
sz = len(r)
i = 0
self._pal = []
while i < sz:
rf = int(b[i])
gf = int(g[i])
bf = int(r[i])
self._pal.append((rf << 16) | (gf << 8) | (bf))
i = i + 1
class LocalGame:
action = None
sound = None
slidenum = None
slideons = None
def __init__(self):
self.immerseT = []
self.countT = []
self.imgBank_instruct = []
self.imgBank_proc = []
self.slidenum = 0
self.slideons = None
self.localGraphics = GameGraphics()
self.state = Interact()
self.action = None
self.sound = Sound(resourceRoot + soundfile)
self.saveLoc = DATA_FOLDER + "PREEMPT2_%s/" + SAVE_NAME
self.start()
def start(self):
self.generateTimeBank()
self.generateImgBank()
def generateTimeBank(self):
times = timeorder[cycle - 1]
for x in times:
self.immerseT.append(TB[x][0])
self.countT.append(TB[x][1])
self.countT = self.countT[:-1]
def generateImgBank(self):
self.imgBank_proc = ["Slide11.jpg", "Slide12.jpg"]
for x in range(1, 11):
self.imgBank_instruct.append("Slide" + str(x) + ".jpg")
countorder[cycle - 1].extend((23, 24))
for x in countorder[cycle - 1]:
self.imgBank_proc.append("Slide" + str(x) + ".jpg")
def runInstructions(self):
for x in self.imgBank_instruct:
self.slidenum += 1
self.localGraphics.baseScreen(x)
self.slideons = str(datetime.now())
self.action = self.state.actionCont()
self.state.saveDataInst()
self.slidenum = 0
return
def runFInstructions(self):
self.localGraphics.baseScreen("Slide25.jpg")
self.action = self.state.actionCont()
def runMast(self):
retcount = 0
self.localGraphics.baseScreen(self.imgBank_proc[0])
self.action = self.state.sleeper(3)
for x in range(0, 5):
self.slidenum += 1
self.localGraphics.baseScreen(self.imgBank_proc[1])
self.sound.play()
self.state.saveDataMast(self.immerseT[x], 'Immersion')
self.action = self.state.sleeper(self.immerseT[x])
if x > 0:
retcount = 1
if x < 4:
self.slidenum += 1
self.localGraphics.baseScreen(self.imgBank_proc[2 + retcount])
self.sound.play()
self.state.saveDataMast(self.countT[x], 'Subtraction')
self.action = self.state.sleeper(self.countT[x])
self.sound.play()
self.localGraphics.baseScreen(self.imgBank_proc[4])
self.action = self.state.sleeper(90)
self.localGraphics.baseScreen(self.imgBank_proc[5])
self.action = self.state.actionCont()
return
def fixation(self, time):
self.localGraphics.fixationScreen()
self.action = self.state.sleeper(time)
def setup_sounds(self):
self.cashsnd = Sound('resources/cash.wav')
self.firesnd = Sound('resources/bbhit.wav')
self.buzzsnd = Sound('resources/buzz.wav')
from tools import sound_freq_sweep, compound_sound
import numpy as np
from psychopy.sound import Sound
from psychopy import visual
p = dict(
# Display:
monitor='CRT_NEC_FE992',
full_screen=True,
screen_number=1,
# Sounds:
correct_sound=Sound(sound_freq_sweep(2000, 2000, .1)),
incorrect_sound=Sound(sound_freq_sweep(8000, 200, .1)),
# General:
n_trials=150,
fixation_size=0.1,
rgb=np.array([1., 1., 1.]),
# Element array:
sf=4,
elems_per_row=30,
elem_size=2.5,
elem_spacing=1,
jitter=0.08,
res=128,
# Cue:
cue_size=[2, 2],
line_width=5,
# Timing:
cue_dur=0.2,
cue_to_ea=0.6,
#texture_dur = 0.05,
###############################################################################
# .. code-block:: python
#
# import serial
# ser = serial.Serial('COM4') # Change this value according to your setup
#%%
# Create an Oximeter instance, initialize recording and record for 10 seconds
oxi = Oximeter(serial=ser, sfreq=75, add_channels=4).setup()
#%%
# Create an Oxymeter instance, initialize recording and record for 10 seconds
beat = Sound('C', secs=0.1)
diastole1 = Sound('E', secs=0.1)
diastole2 = Sound('G', secs=0.1)
diastole3 = Sound('Bfl', secs=0.1)
systoleTime1, systoleTime2, systoleTime3 = None, None, None
tstart = time.time()
while time.time() - tstart < 30:
# Check if there are new data to read
while oxi.serial.inWaiting() >= 5:
# Convert bytes into list of int
paquet = list(oxi.serial.read(5))
if oxi.check(paquet): # Data consistency
def __init__(self, subject_initials, index_number, tr, start_block,
config):
super(StopSignalSession, self).__init__(
subject_initials,
index_number,
tr=tr,
simulate_mri_trigger=False,
# NB: DO NOT use this MRI simulation option, but rather another!
mri_trigger_key=config.get('mri', 'mri_trigger_key'))
self.config = config
self.start_block = start_block # allows for starting at a later block than 1
self.warmup_trs = config.get('mri', 'warmup_trs')
if tr == 2:
self.trial_duration = 8 - .5
elif tr == 3:
self.trial_duration = 9 - 0.5
if self.subject_initials == 'pilot':
self.trial_duration = [8.5, 7.5, 8.5, 7.5]
if config.get('audio', 'engine') == 'psychopy':
# BEFORE moving on, ensure that the correct audio driver is selected
from psychopy import prefs
prefs.general['audioLib'] = config.get('audio', 'backend')
from psychopy.sound import Sound
self.bleeper = Sound(secs=0.1,
octave=5,
loops=0,
sampleRate=44100,
name='')
# self.bleeper.play()
elif config.get('audio', 'engine') == 'TK':
self.setup_sound_system()
self.read_sound_file('sounds/0.wav', '0')
# to test sound:
# self.play_sound(sound_index=0)
self.response_button_signs = [
config.get('input', 'response_button_left'),
config.get('input', 'response_button_right')
]
screen = self.create_screen(
engine='psychopy',
size=config.get('screen', 'size'),
full_screen=config.get('screen', 'full_screen'),
background_color=config.get('screen', 'background_color'),
gamma_scale=config.get('screen', 'gamma_scale'),
physical_screen_distance=config.get('screen',
'physical_screen_distance'),
physical_screen_size=config.get('screen', 'physical_screen_size'),
max_lums=config.get('screen', 'max_lums'),
wait_blanking=config.get('screen', 'wait_blanking'),
screen_nr=config.get('screen', 'screen_nr'),
mouse_visible=config.get('screen', 'mouse_visible'))
# Try this
# TODO: think about really including this?
self.screen.recordFrameIntervals = True
self.phase_durations = np.array([
-0.0001, # wait for scan pulse
-5,
1,
-5
]) # the strings will be filled before every trial
self.load_design()
self.prepare_objects()
self.prepare_staircase()
class StopSignalSession(MRISession):
def __init__(self, subject_initials, index_number, tr, start_block,
config):
super(StopSignalSession, self).__init__(
subject_initials,
index_number,
tr=tr,
simulate_mri_trigger=False,
# NB: DO NOT use this MRI simulation option, but rather another!
mri_trigger_key=config.get('mri', 'mri_trigger_key'))
self.config = config
self.start_block = start_block # allows for starting at a later block than 1
self.warmup_trs = config.get('mri', 'warmup_trs')
if tr == 2:
self.trial_duration = 8 - .5
elif tr == 3:
self.trial_duration = 9 - 0.5
if self.subject_initials == 'pilot':
self.trial_duration = [8.5, 7.5, 8.5, 7.5]
if config.get('audio', 'engine') == 'psychopy':
# BEFORE moving on, ensure that the correct audio driver is selected
from psychopy import prefs
prefs.general['audioLib'] = config.get('audio', 'backend')
from psychopy.sound import Sound
self.bleeper = Sound(secs=0.1,
octave=5,
loops=0,
sampleRate=44100,
name='')
# self.bleeper.play()
elif config.get('audio', 'engine') == 'TK':
self.setup_sound_system()
self.read_sound_file('sounds/0.wav', '0')
# to test sound:
# self.play_sound(sound_index=0)
self.response_button_signs = [
config.get('input', 'response_button_left'),
config.get('input', 'response_button_right')
]
screen = self.create_screen(
engine='psychopy',
size=config.get('screen', 'size'),
full_screen=config.get('screen', 'full_screen'),
background_color=config.get('screen', 'background_color'),
gamma_scale=config.get('screen', 'gamma_scale'),
physical_screen_distance=config.get('screen',
'physical_screen_distance'),
physical_screen_size=config.get('screen', 'physical_screen_size'),
max_lums=config.get('screen', 'max_lums'),
wait_blanking=config.get('screen', 'wait_blanking'),
screen_nr=config.get('screen', 'screen_nr'),
mouse_visible=config.get('screen', 'mouse_visible'))
# Try this
# TODO: think about really including this?
self.screen.recordFrameIntervals = True
self.phase_durations = np.array([
-0.0001, # wait for scan pulse
-5,
1,
-5
]) # the strings will be filled before every trial
self.load_design()
self.prepare_objects()
self.prepare_staircase()
# creating a mixture class would be a lot nicer but I can't be bothered so I'll cheat and include everything
# here
def setup_sound_system(self):
"""initialize pyaudio backend, and create dictionary of sounds."""
self.pyaudio = pyaudio.PyAudio()
self.sound_files = \
subprocess.Popen('ls ' + os.path.join('.', 'sounds', '*.wav'), shell=True,
stdout=subprocess.PIPE).communicate()[0].split('\n')[0:-1]
self.sounds = {}
for sf in self.sound_files:
self.read_sound_file(file_name=sf)
# print self.sounds
def read_sound_file(self, file_name, sound_name=None):
"""Read sound file from file_name, and append to self.sounds with name as key"""
if sound_name == None:
sound_name = os.path.splitext(os.path.split(file_name)[-1])[0]
rate, data = wavfile.read(file_name)
# create stream data assuming 2 channels, i.e. stereo data, and use np.float32 data format
stream_data = data.astype(np.int16)
# check data formats - is this stereo sound? If so, we need to fix it.
wf = wave.open(file_name, 'rb')
# print sound_name
# print wf.getframerate(), wf.getnframes(), wf.getsampwidth(), wf.getnchannels()
if wf.getnchannels() == 2:
stream_data = stream_data[::2]
self.sounds.update({sound_name: stream_data})
def play_bleep(self):
if self.config.get('audio', 'engine') == 'TK':
self.play_sound('0')
else:
self.bleeper.play()
def load_design(self):
fn = 'sub-' + str(self.subject_initials).zfill(3) + '_tr-' + str(
self.index_number) + '_design'
design = pd.read_csv(os.path.join('designs', fn + '.csv'),
sep='\t',
index_col=False)
self.design = design
self.design = self.design.apply(pd.to_numeric) # cast all to numeric
# self.design.stop_trial = pd.to_
# print(self.design)
def prepare_staircase(self):
# TODO: load from previous run?
# check for old file
now = datetime.datetime.now()
opfn = now.strftime("%Y-%m-%d")
expected_filename = str(self.subject_initials) + '_' + str(
self.index_number) + '_' + opfn
fns = glob.glob('./data/' + expected_filename + '_*_staircases.pkl')
if self.start_block > 1 and len(fns) == 1:
# if previous run was created
with open(fns[0], 'r') as f:
self.stairs = pkl.load(f)
else:
# Make dict
info = {
'startPoints': [.100, .200]
} # start points for the four staircases
# create staircases
self.stairs = []
for thisStart in info['startPoints']:
# we need a COPY of the info for each staircase
# (or the changes here will be made to all the other staircases)
thisInfo = copy.copy(info)
# now add any specific info for this staircase
thisInfo[
'thisStart'] = thisStart # we might want to keep track of this
thisStair = data.StairHandler(startVal=thisStart,
extraInfo=thisInfo,
stepType='lin',
minVal=0,
nTrials=1000,
maxVal=0.900,
stepSizes=[0.050])
self.stairs.append(thisStair)
# Save staircases
with open(self.output_file + '_staircases.pkl', 'w') as f:
pkl.dump(self.stairs, f)
self.design.staircase_ID = -1
for block in np.unique(self.design.block):
if block < self.start_block:
continue
# how many stop trials this block?
n_stop_trials = self.design.loc[self.design.block ==
block].stop_trial.sum()
staircase_idx = np.tile(np.arange(len(self.stairs)),
reps=1000)[:n_stop_trials]
np.random.shuffle(staircase_idx)
# append to design
self.design.loc[(self.design.stop_trial == 1) & (self.design.block == block), 'staircase_id'] = \
staircase_idx
def prepare_objects(self):
config = self.config
self.left_stim = StopStimulus(screen=self.screen,
direction=0,
arrow_size_horizontal_degrees=config.get(
'stimulus', 'arrow_size'))
self.right_stim = StopStimulus(
screen=self.screen,
direction=1,
arrow_size_horizontal_degrees=config.get('stimulus', 'arrow_size'))
self.fixation_circle = FixationCircle(
screen=self.screen,
circle_radius_degrees=config.get('stimulus',
'circle_radius_degrees'),
line_width=config.get('stimulus', 'line_width'),
line_color=config.get('stimulus', 'line_color'))
self.scanner_wait_screen = visual.TextStim(
win=self.screen,
text='Waiting for scanner...',
name='scanner_wait_screen',
units='pix',
font='Helvetica Neue',
pos=(0, 0),
italic=True,
height=30,
alignHoriz='center')
if self.subject_initials == 'DEBUG':
self.stop_timing_circle = visual.Circle(win=self.screen,
radius=3,
edges=50,
lineWidth=1.5,
fillColor='red',
lineColor='red',
units='deg',
lineColorSpace='rgb',
fillColorSpace='rgb')
def save_data(self, trial_handler=None, block_n='all'):
output_fn_dat = self.output_file + '_block-' + str(block_n)
output_fn_frames = self.output_file + '_block-' + str(block_n)
if trial_handler is not None:
trial_handler.saveAsPickle(output_fn_dat)
trial_handler.saveAsWideText(output_fn_dat + '.csv', )
if self.screen.recordFrameIntervals:
# Save frame intervals to file
self.screen.saveFrameIntervals(fileName=output_fn_frames +
'_frameintervals.log',
clear=False)
# import matplotlib.pyplot as plt
# # Make a nice figure
# intervals_ms = np.array(self.screen.frameIntervals) * 1000
# m = np.mean(intervals_ms)
# sd = np.std(intervals_ms)
#
# msg = "Mean=%.1fms, s.d.=%.2f, 99%%CI(frame)=%.2f-%.2f"
# dist_string = msg % (m, sd, m - 2.58 * sd, m + 2.58 * sd)
# n_total = len(intervals_ms)
# n_dropped = sum(intervals_ms > (1.5 * m))
# msg = "Dropped/Frames = %i/%i = %.3f%%"
# dropped_string = msg % (n_dropped, n_total, 100 * n_dropped / float(n_total))
#
# # plot the frame intervals
# plt.figure(figsize=[12, 8])
# plt.subplot(1, 2, 1)
# plt.plot(intervals_ms, '-')
# plt.ylabel('t (ms)')
# plt.xlabel('frame N')
# plt.title(dropped_string)
#
# plt.subplot(1, 2, 2)
# plt.hist(intervals_ms, 50, normed=0, histtype='stepfilled')
# plt.xlabel('t (ms)')
# plt.ylabel('n frames')
# plt.title(dist_string)
# plt.savefig(output_fn_frames + '_frameintervals.png')
def close(self):
""" Saves stuff and closes """
self.save_data()
super(StopSignalSession, self).close()
def run(self):
""" Runs this Stop Signal task"""
test_sound = TestSoundTrial(ID=-1,
parameters={},
phase_durations=[1000],
session=self,
screen=self.screen,
tracker=None)
test_sound.run()
self.block_start_time = 0
# start emulator TODO REMOVE THIS STUFF!!
# n_vols = [343+2, 513+2, 343+2, 513+2]
# trs = [3, 2, 3, 2]
# n_vols = [31+2, 21+2]
# trs = [3, 2]
# from psychopy.hardware.emulator import launchScan
for block_n in np.unique(self.design.block):
if block_n < self.start_block:
continue
this_block_design = self.design.loc[self.design.block == block_n]
# scanner_emulator = launchScan(win=self.screen, settings={'TR': trs[block_n-1], 'volumes': n_vols[block_n-1],
# 'sync': 't'},
# mode='Test')
if isinstance(self.trial_duration, list):
trial_duration = self.trial_duration[block_n - 1]
else:
trial_duration = self.trial_duration
trial_handler = data.TrialHandler(
this_block_design.to_dict('records'),
nReps=1,
method='sequential')
for block_trial_ID, this_trial_info in enumerate(trial_handler):
is_stop_trial = this_trial_info['stop_trial']
if is_stop_trial:
this_trial_staircase_id = int(
this_trial_info['staircase_id'])
this_trial_ssd = next(self.stairs[this_trial_staircase_id])
this_staircase_start_val = self.stairs[
this_trial_staircase_id].extraInfo['thisStart']
else:
this_trial_staircase_id = -1
this_trial_ssd = -1
this_staircase_start_val = -1
this_trial_parameters = {
'direction': int(this_trial_info['direction']),
'stop_trial': int(this_trial_info['stop_trial']),
'current_ssd': this_trial_ssd,
'current_staircase': this_trial_staircase_id,
'staircase_start_val': this_staircase_start_val,
'block': block_n,
'block_trial_ID': block_trial_ID
}
these_phase_durations = self.phase_durations.copy()
these_phase_durations[1] = this_trial_info.jitter
# NB we stop the trial 0.5s before the start of the new trial, to allow sufficient computation time
# for preparing the next trial. Therefore 8.5s instead of 9s.
these_phase_durations[
3] = trial_duration - these_phase_durations[
1] - these_phase_durations[2]
this_trial = StopSignalTrial(
ID=int(this_trial_info.trial_ID),
parameters=this_trial_parameters,
phase_durations=these_phase_durations,
session=self,
screen=self.screen)
# run the prepared trial
this_trial.run()
# Record some stuff
trial_handler.addData('rt', this_trial.rt)
trial_handler.addData('response', this_trial.response)
# absolute times since session start
trial_handler.addData('start_time', this_trial.start_time)
trial_handler.addData('t_time', this_trial.t_time)
trial_handler.addData('jitter_time', this_trial.jitter_time)
trial_handler.addData('stimulus_time',
this_trial.stimulus_time)
trial_handler.addData('iti_time', this_trial.iti_time)
# durations / time since actual trial start (note that the *actual* trial start is t_time!)
if is_stop_trial:
trial_handler.addData('ssd', this_trial_ssd)
trial_handler.addData(
'stop_signal_time_recorded',
this_trial.bleep_time - this_trial.jitter_time)
trial_handler.addData('staircase_start_val',
this_staircase_start_val)
trial_handler.addData(
'phase_0_measured',
this_trial.t_time - this_trial.start_time)
trial_handler.addData(
'phase_1_measured',
this_trial.jitter_time - this_trial.t_time)
trial_handler.addData(
'phase_2_measured',
this_trial.stimulus_time - this_trial.jitter_time)
trial_handler.addData(
'phase_3_measured',
this_trial.iti_time - this_trial.stimulus_time)
# durations / time since actual start of the block. These are useful to create events-files later for
# convolving. Can also grab these from the eventArray though.
trial_handler.addData(
'trial_t_time_block_measured',
this_trial.t_time - self.block_start_time)
trial_handler.addData(
'stimulus_onset_time_block_measured',
this_trial.jitter_time - self.block_start_time)
# Counter-intuitive, but jitter_time is END of the jitter period = onset of stim
# Update staircase if this was a stop trial
if is_stop_trial:
if this_trial.response_measured:
# Failed stop: Decrease SSD
self.stairs[this_trial_staircase_id].addData(1)
else:
# Successful stop: Increase SSD
self.stairs[this_trial_staircase_id].addData(0)
if self.stopped:
# out of trial
break
# Save
self.save_data(trial_handler, block_n)
if self.stopped:
# out of block
break
# end of block
this_trial = EndOfBlockTrial(ID=int('999' + str(block_n)),
parameters={},
phase_durations=[0.5, 1000],
session=self,
screen=self.screen)
this_trial.run()
self.close()
ns = egi.Netstation()
ns.connect('10.10.10.42', 55513)
ns.BeginSession()
#
ns.sync()
#
ns.StartRecording()
#
# sampleDir = "./samples"
#
# sampleFilenames = [path.join(sampleDir, f) for f in listdir(sampleDir)]
# psychopy.voicekey.samples_from_file(sampleFilenames[0])
# trials = TrialHandler(sampleFilenames, 1, method="random")
s = Sound()
win = visual.Window()
msg = visual.TextStim(win, text="Press a key to hear a sound, Q to quit")
s.setSound("./samples/13.wav")
while True:
msg.draw()
win.flip()
k = event.getKeys()
if len(k)>0:
if 'q' in k:
break
ns.sync()
s.play()
ns.send_event('evt1')
kb_events = None
rise_amnt = 10
t_start = time.time()
flip_bit = 1 #this is just to flip the sign of width change
#-------------------------------
# SETUP SOUND STIMS
freq_factor = 2*np.pi*np.linspace(0,0.5,22050)
freqL = 440
freqR = 440
soundL = np.sin(freq_factor*freqL)
soundR = np.sin(freq_factor*freqR)
s_out = Sound(np.array([soundL,soundR]).T,secs=10)
#
#-------------------------------
t=1
while not kb_events:
s_out.stop()
if t==1:
s_out.play()
t=0
# soundL = np.sin(freq_factor*(freqL+10))
# soundR = np.sin(freq_factor*freqR)
# s_out.setSound = np.array([soundL,soundR]).T
# Get the current mouse position
# posDelta is the change in position * since the last call *
position, posDelta = mouse.getPositionAndDelta()
color=[-1, -1, -1])
Hz = 0
while (Hz < 50 or Hz > 150):
Hz = win.getActualFrameRate(nIdentical=20, nMaxFrames=80, nWarmUpFrames=10)
Hz = round(Hz)
print(Hz)
ifi = 1 / Hz
gap_frames = round(gap_dur / ifi)
grating_frames = round(grating_dur / ifi)
# create sound
medf_s = Sound(800,
sampleRate=44100,
secs=grating_frames * ifi,
stereo=True,
loops=0)
trial_times = np.array([])
trial_times = win.flip()
for itrial in range(ntrials):
for gframe in range(int(gap_frames)):
#print(gframe)
fixation.draw()
win.flip()
for gtframe in range(int(grating_frames)):
if gtframe == 0:
if ppt: win.callOnFlip(p_port.setData, int(itrial + 1))
autoLog=None)
#clock initialization
globalClock = core.Clock()
#%%############################################################################
# THESE VARIABLES DEPEND ON #
# THE EXPERIMENTAL DESIGN #
###############################################################################
audio_stim_name = input('Insert the filename of the audio stimulus: ')
nr_NF_session = input('Number of the NF session (1,2,3...): ')
#path of the stimulus
stimulus_path = os.path.join(wdir,
'sounds/stimuli/' + audio_stim_name + '.wav')
stimulus = Sound(stimulus_path)
#path of the stop audio file
stop_wav = os.path.join(wdir, 'sounds/stop.wav')
stop_stim = Sound(stop_wav)
#create a new output directory for the FB images
outdir = os.path.join(os.path.abspath(os.path.join(sub_json_file, os.pardir)),
audio_stim_name + '_output_' + str(nr_NF_session))
if not os.path.exists(outdir):
os.makedirs(outdir)
#condition timings
baselines = pickle.load(
open(os.path.join(wdir, 'prt/intermittent/baselines.pkl'), 'rb'))
tasks = pickle.load(
open(os.path.join(wdir, 'prt/intermittent/tasks.pkl'), 'rb'))
###############################################################################
# .. code-block:: python
#
# import serial
# ser = serial.Serial('COM4') # Change this value according to your setup
#%%
# Create an Oximeter instance, initialize recording and record for 10 seconds
oxi = Oximeter(serial=ser, sfreq=75, add_channels=4).setup()
#%%
# Create an Oxymeter instance, initialize recording and record for 10 seconds
beat = Sound("C", secs=0.1)
diastole1 = Sound("E", secs=0.1)
diastole2 = Sound("G", secs=0.1)
diastole3 = Sound("Bfl", secs=0.1)
systoleTime1, systoleTime2, systoleTime3 = None, None, None
tstart = time.time()
while time.time() - tstart < 30:
# Check if there are new data to read
while oxi.serial.inWaiting() >= 5:
# Convert bytes into list of int
paquet = list(oxi.serial.read(5))
if oxi.check(paquet): # Data consistency
from tools import sound_freq_sweep, compound_sound
from psychopy.sound import Sound
p = dict(
color_target=True,
monitor='SportsMedicineLab',
screen_number=0,
scanner=False,
eye_motion=True,
full_screen=False,
save_fig=True,
#Feedback sounds
incorrect_sound=Sound(sound_freq_sweep(8000, 200, .1)),
correct_sound=Sound(sound_freq_sweep(2000, 2000, .1)),
no_response_sound=Sound(sound_freq_sweep(500, 700, .1)),
eye_motion_sound=Sound(compound_sound([200, 400, 800], .2)),
fixation_size=3.0,
target_dur=0.1,
response_dur=1.5,
feedback_dur=0.3,
iti=0.24,
isi=0.3,
interblock_interval=0.54,
# block_duration = 12, Enforce this!
n_trials=5,
n_blocks=12,
target_size=4,
target_x=4,
target_y=4,
sf_base=1,
class SyncGenerator(threading.Thread):
def __init__(self, TR=1.0, volumes=10, sync='5', skip=0, sound=False):
"""Class for a character-emitting metronome thread (emulate MR sync pulse).
Aim: Allow testing of temporal robustness of fMRI scripts by emulating
a hardware sync pulse. Adds an arbitrary 'sync' character to the key
buffer, with sub-millisecond precision (less precise if CPU is maxed).
Recommend: TR=1.000 or higher and less than 100% CPU. Shorter TR
--> higher CPU load.
Parameters:
TR: seconds per whole-brain volume
volumes: number of 3D volumes to obtain in a given scanning run
sync: character used as flag for sync timing, default='5'
skip: how many frames to silently omit initially during T1
stabilization, no sync pulse. Not needed to test script
timing, but will give more accurate feel to start of run.
aka "discdacqs".
sound: simulate scanner noise
"""
if TR < 0.1:
raise ValueError, 'SyncGenerator: whole-brain TR < 0.1 not supported'
self.TR = TR
self.hogCPU = 0.035
self.timesleep = self.TR
self.volumes = int(volumes)
self.sync = sync
self.skip = skip
self.playSound = sound
if self.playSound: # pragma: no cover
self.sound1 = Sound(800, secs=self.TR-.08, volume=0.15, autoLog=False)
self.sound2 = Sound(813, secs=self.TR-.08, volume=0.15, autoLog=False)
self.clock = core.Clock()
self.stopflag = False
threading.Thread.__init__(self, None, 'SyncGenerator', None)
self.running = False
def run(self):
self.running = True
if self.skip:
for i in range(int(self.skip)):
if self.playSound: # pragma: no cover
self.sound1.play()
self.sound2.play()
core.wait(self.TR, hogCPUperiod=0) # emulate T1 stabilization without data collection
self.clock.reset()
for vol in range(1, self.volumes+1):
if self.playSound: # pragma: no cover
self.sound1.play()
self.sound2.play()
if self.stopflag:
break
# "emit" a sync pulse by placing a key in the buffer:
event._onPygletKey(symbol=self.sync, modifiers=None, emulated=True)
# wait for start of next volume, doing our own hogCPU for tighter sync:
core.wait(self.timesleep - self.hogCPU, hogCPUperiod=0)
while self.clock.getTime() < vol * self.TR:
pass # hogs the CPU for tighter sync
self.running = False
return self
def stop(self):
self.stopflag = True
return str(self.id)
### Global variables for rendering stimuli
sone = subject(1, "act", 0.3, None, window.size[0] / -4)
stwo = subject(2, "obs", 0.7, None, window.size[0] / 4)
subjects = [sone, stwo]
expinfo = {'participant1': sone.id, 'participant2': stwo.id, 'pair': 1}
#expinfo = {'participant1': sone.id}
blocks = range(4)
ntrials = 2
# create beep for decision interval
beep = Sound('A', secs=0.5)
def genstartscreen():
visual.TextStim(window,
text="Press spacebar to start.",
pos=[0 + sone.xoffset, 0],
color='black',
height=20).draw()
visual.TextStim(window,
text="Press spacebar to start.",
pos=[0 + stwo.xoffset, 0],
color='black',
height=20).draw()
