font=u'Arial',
height=config['FEEDBACK_SIZE'],
wrapWidth=win.size[0],
color=u'black',
alignHoriz='center',
alignVert='center',
pos=config["FEEDBACK_POS"])
mouse = event.Mouse()
response_clock = core.Clock()
trial_nr = 1
# TRAINING
show_info(win,
join('.', 'messages', "instruction1.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0])
# show_image(window, 'instruction.png', SCREEN_RES)
for item in load_train(config["TRAINING_TRIALS"]):
if config["TRAINING_FEEDBACK"]:
accept_box.accept_label.text = config["ACCEPT_BOX_TEXT_FEEDBACK"]
else:
accept_box.accept_label.text = config["ACCEPT_BOX_TEXT"]
trial = Trial(win=win, config=config, item=item)
trial.run(config=config,
win=win,
response_clock=response_clock,
clock_image=clock_image,
mouse=mouse,
accept_box=accept_box,
for k, n, ans_type in data_train:
corr1, corr2, acc, rt1, rt2 = run_trial(win, k, n, ans_type, config,
config["feedback_in_training"],
feedb)
RESULTS.append(
[i, "train", k, n, ans_type, corr1, corr2, acc, rt1, rt2])
i += 1
mean_acc += 1 if acc else 0
if i > 1:
mean_acc /= (i - 1)
else:
break
if mean_acc < config["min_training_acc"] and training_nr == 5:
show_info(win,
join('.', 'messages', "end.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0])
logging.critical('Training not completed')
exit(1)
if mean_acc < config["min_training_acc"]:
show_info(win,
join('.', 'messages', "training_info.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0])
# EXPERIMENT
show_info(win,
join('.', 'messages', "instruction2.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0],
key=config["exit_key"])
if config["OPHTHALMIC_PROCEDURE"]:
TRIGGER_NO, TRIGGERS_LIST = ophthalmic_procedure(
win,
screen_res,
FRAMES_PER_SEC,
TRIGGER_NO,
TRIGGERS_LIST,
config["TEXT_SIZE"],
send_eeg_triggers=config["EEG_TRIGGERS"],
port_eeg=PORT_EEG,
exit_key=config["EXIT_KEY"])
# TRAINING
show_info(win,
join('.', 'messages', "training.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0],
exit_key=config["EXIT_KEY"])
run(words=train_words[:config["TRAIN_TRIALS"]])
# EXPERIMENT
show_info(win,
join('.', 'messages', "instruction.txt"),
text_size=config['TEXT_SIZE'],
screen_width=SCREEN_RES[0],
exit_key=config["EXIT_KEY"])
run(words=exp_words)
# END
show_info(win,
join('.', 'messages', "end.txt"),
RESULTS.append(prepare_result(i, info, answers, rt, acc, "train"))
i += 1
if not config["one_target"]:
mean_acc += 1 if acc["left"] and acc["right"] else 0
else:
mean_acc += 1 if acc["left"] else 0
if i > 1:
mean_acc /= (i - 1)
else:
print("AA")
break
if mean_acc < config["training_accuracy"] and training_nr == config[
'training_attempts']:
show_info(window,
join('.', 'texts', "too_many_attempts.txt"),
text_size=config['text_size'],
screen_width=SCREEN_RES[0],
color=config['text_color'])
exit(1)
if mean_acc < config["training_accuracy"]:
show_info(window,
join('.', 'texts', "after_unsuccessful_training.txt"),
text_size=config['text_size'],
screen_width=SCREEN_RES[0],
color=config['text_color'])
# EXPERIMENT
if config["session_type"] == "Predefined test":
_, data_exp = load_trials(join("tests", config['predefined_test']))
if config["randomize_trials_order"]:
random.shuffle(data_exp)