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MOT_select.py
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MOT_select.py
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import sys, os
from MOT_utils import *
from messagescreens import *
def guide_user(master_list, distractor_list, target_list):
# -- Welcome message --
guide_screen("start", master_list)
wait_key()
# -- Fixation cross screen
guide_screen("focus", master_list)
wait_key()
# -- Present cross and circles screen
guide_screen("present", master_list)
wait_key()
real_trials(master_list, distractor_list, target_list, 0, 1, round='guide')
def real_trials(master_list, distractor_list, target_list, CRT, n_trails, round='real', recorder=None):
"""function for real trials to record answer score, time and timed out state; same as practice trial except
the user responses are recorded"""
completed_practice_trial_count = CRT
reset = False
submitted = False
need_to_select_4 = False
timeup = False
t0 = pg.time.get_ticks()
while True:
pg.time.Clock().tick_busy_loop(FPS) # =Set FPS
win.fill(background_col) # =fill background with background color
mx, my = pg.mouse.get_pos() # =get x and y coord of mouse cursor on window
selected_list = [] # - list for all selected objects
selected_targ = [] # - list for all SELECTED TARGETS
for event in pg.event.get():
if event.type == pg.QUIT:
pg.quit()
sys.exit()
if event.type == pg.KEYDOWN:
if event.key == pg.K_ESCAPE:
pg.quit()
sys.exit()
if event.key == pg.K_SPACE:
if not reset:
for target in target_list:
if target.isSelected and not target.isClicked:
selected_targ.append(target)
selected_list.append(target)
for distractor in distractor_list:
if distractor.isSelected and not distractor.isClicked:
selected_list.append(distractor)
if len(selected_list) == num_targ:
submitted = True
# print("Answer submitted")
t_keypress = pg.time.get_ticks()
else:
need_to_select_4 = True
for obj in master_list:
if obj.in_circle(mx, my):
if event.type == pg.MOUSEMOTION:
if not obj.isClicked and not obj.isSelected:
obj.state_control("hovered")
if event.type == pg.MOUSEBUTTONDOWN:
if not obj.isClicked and not obj.isSelected:
obj.state_control("clicked")
if not obj.isClicked and obj.isSelected:
obj.state_control("neutral")
if event.type == pg.MOUSEBUTTONUP:
if obj.isClicked and not obj.isSelected:
obj.state_control("selected")
elif not obj.in_circle(mx, my):
if event.type == pg.MOUSEMOTION: #鼠标移出时恢复颜色
if not obj.isClicked and not obj.isSelected:
obj.state_control("neutral")
if event.type == pg.MOUSEBUTTONUP:
if obj.isClicked and not obj.isSelected:
obj.state_control("neutral")
t1 = pg.time.get_ticks()
dt = (t1 - t0)/1000
if completed_practice_trial_count < n_trails:
if not reset:
if dt <= Tfix:
fixation_screen(master_list)
elif Tfix < dt <= Tfl:
flash_targets(distractor_list, target_list)
elif Tfl < dt <= Tani:
for targ in target_list:
targ.state_control("neutral")
animate(distractor_list, target_list, master_list)
elif Tani < dt <= Tans:
if need_to_select_4:
message_screen("not_selected_4")
if round == 'guide':
guide_screen("answer", master_list)
else:
static_draw(master_list)
pg.display.flip()
t_stop = pg.time.get_ticks()
elif Tans < dt:
timeup = True
if submitted:
if recorder:
t_sub = ((t_keypress - t0)/1000) - animation_time
record_response(t_sub, len(selected_targ), False, recorder)
win.fill(background_col)
msg_to_screen_centered("{:d} out of {:d} correct".format(len(selected_targ), len(selected_list)), BLACK, large_font)
pg.display.flip()
wait_time = int(Tans*1000 - (t_keypress - t0) + 1000)
delay(wait_time)
reset = True
if timeup:
if recorder:
record_response("timed out", "timed out", True, recorder)
message_screen("timeup")
delay(feedback_time*1000)
reset = True
if reset:
print(completed_practice_trial_count)
init_pos(master_list)
for obj in master_list:
obj.state_control("neutral")
completed_practice_trial_count += 1
submitted = timeup = need_to_select_4 = reset = False
t0 = pg.time.get_ticks()
else:
win.fill(background_col)
if round == 'real':
recorder.close()
message_screen("exp_finished")
elif round == 'prac':
message_screen("prac_finished")
elif round == 'guide':
guide_screen("finished", master_list)
pg.display.flip()
wait_key()
break
def main():
"""Main loop"""
# == Variables to count how many trials have been completed ==
completed_real_trials = 0
completed_practice_trials = 0
# == Generate a list of objects ==
list_d, list_t = generate_list(WHITE)
list_m = list_d + list_t
init_pos(list_m)
# == Dialogue box to enter participant information ==
# dlg_box = DlgFromDict(session_info, title="Multiple Object Tracking", fixed=["date"])
print(session_info)
# == Prepare a CSV file ==
mot_log = date_string + ' pcpnt_' + session_info['Participant']
save_file = os.path.join(save_directory + "\\" + mot_log + '.csv')
log = open(save_file, 'w')
header = ["response_time", "response_score", "timed_out"]
delim = ",".join(header)
delim += "\n"
log.write(delim)
# == Initiate pygame ==
pg.init()
# == Start guide ==
guide_user(list_m, list_d, list_t)
# == Start practice ==
real_trials(list_m, list_d, list_t, completed_practice_trials, n_prac, 'prac')
# == Start real trials, recording responses ==
real_trials(list_m, list_d, list_t, completed_real_trials, n_real, 'real', log)
log.close()
pg.quit()
sys.exit()
if __name__ == "__main__":
main()