def trial(self):
if P.development_mode:
print(self.image_name, self.mask_type)
trial_countdown = CountDown(900) # 15 minutes
while trial_countdown.remaining() > 0:
q = pump(True)
if key_pressed(sdl2.SDLK_DELETE, queue=q):
# press 'Del' to skip trial
break
elif key_pressed(sdl2.SDLK_ESCAPE, queue=q):
# Press 'escape' to pause and calibrate
trial_countdown.pause()
self.el.calibrate()
self.el.drift_correct()
self.el.start(P.trial_number)
trial_countdown.resume()
continue
if trial_countdown.elapsed() >= self.first_warning_onset and not self.first_warning_played:
self.warning_signal.play()
self.first_warning_played = True
if trial_countdown.elapsed() >= self.second_warning_onset and not self.second_warning_played:
self.warning_signal.play()
self.second_warning_played = True
pos = self.el.gaze()
fill()
if int(pos[0]) != -32768: # if gaze not lost
self.gaze_offscreen = time.time()
if (pos[0] < 0) or (pos[0] > P.screen_x) or (pos[1] < 0) or (pos[1] > P.screen_y):
pass
elif (time.time() - self.gaze_offscreen) < self.gaze_timeout:
blit(self.arrangement, 5, P.screen_c)
if self.mask is not None and trial_countdown.elapsed() < self.mask_off_time:
blit(self.mask, 5, pos)
flip()
return {
"trial_num": P.trial_number,
"block_num": P.block_number,
"arrangement": self.image_name,
"mask_type": self.mask_type
}
def get_ambient_level(self, period=1):
"""Determines the average ambient noise level from the input stream over a given period.
Gives a 3-second countdown before starting to help the user ensure they are quiet.
Args:
period (numeric, optional): The number of seconds to record input for. Defaults to one
second.
Returns:
int: The average of the peaks of all samples recorded during the period.
"""
warn_msg = (
"Please remain quiet while the ambient noise level is sampled. "
"Sampling will begin in {0} second{1}.")
peaks = []
wait_period = CountDown(3)
while wait_period.counting():
ui_request()
fill()
remaining = int(math.ceil(wait_period.remaining()))
s = "" if remaining == 1 else "s" # to avoid "1 seconds"
message(warn_msg.format(remaining, s),
location=P.screen_c,
registration=5)
flip()
self.stream.start()
fill()
flip()
sample_period = CountDown(period)
while sample_period.counting():
ui_request()
peaks.append(self.stream.sample().peak)
self.stream.stop()
return sum(peaks) / float(len(peaks))
