OpenSesame correction trials example

correction_trials.opensesame

# Generated by OpenSesame 0.25 (Dashy Darwin)
# Thu Dec 15 11:06:26 2011 (posix)
# 
# Copyright Sebastiaan Mathot (2010-2011)
# <http://www.cogsci.nl>
# 
set foreground "white"
set subject_parity "even"
set description "A template containing a practice and an experimental phase"
set title "Repeat trials"
set sampler_backend "legacy"
set coordinates "relative"
set height "768"
set mouse_backend "legacy"
set width "1024"
set compensation "0"
set keyboard_backend "legacy"
set background "black"
set subject_nr "0"
set canvas_backend "legacy"
set start "experiment"
set synth_backend "legacy"

define notepad about_this_template
	__note__
	Hi,
	
	This template already contains the basic structure
	needed for a typical experiment, consisting of a
	practice phase, followed by an experimental phase.
	
	For more information, please refer to the website:
	<http://www.cogsci.nl/opensesame>
	
	Have fun with OpenSesame!
	
	--
	
	Sebastiaan
	__end__
	set description "Some pointers to help you gest started!"

define loop repeat_loop
	set repeat "100"
	set description "Repeatedly runs another item"
	set item "trial_sequence"
	set column_order "is_repeat"
	set cycles "1"
	set order "random"
	setcycle 0 is_repeat "yes"
	run trial_sequence

define text_display _text_display
	set description "Presents a display consisting of text"

define text_display repeat_msg
	set foreground "white"
	set font_size "18"
	set description "Presents a display consisting of text"
	set maxchar "50"
	set align "center"
	set content "Now we're going to repeat the left-over trials"
	set background "black"
	set duration "keypress"
	set font_family "mono"

define inline_script get_repeat
	set _run ""
	___prepare__
	import random
	
	# By default, do *not* skip the trial
	self.experiment.set('skip_trial', 'no')
	
	# If this is a repeat trial, we should load the conditions from
	# the correction_trials list
	if self.get('is_repeat') == 'yes':
	
		# If the correction_trials list is empty, there is nothing to
		# repeat so we skip the trial
		if len(self.experiment.correction_trials) == 0:
			self.experiment.set('skip_trial', 'yes')
			
		# Otherwise, restore the conditions from the correction_trials list
		else:
			random.shuffle(self.experiment.correction_trials)
			d = self.experiment.correction_trials.pop()
			print 'Restoring %s' % d
			for cond in d:
				self.experiment.set(cond, d[cond])
	__end__
	set description "Executes Python code"

define loop block_loop
	set repeat "2"
	set description "A single block of trials"
	set item "trial_sequence"
	set column_order "is_repeat;my_condition1;my_condition2"
	set cycles "2"
	set order "random"
	setcycle 0 my_condition2 "a"
	setcycle 0 my_condition1 "1"
	setcycle 0 is_repeat "no"
	setcycle 1 my_condition2 "b"
	setcycle 1 my_condition1 "2"
	setcycle 1 is_repeat "no"
	run trial_sequence

define inline_script init
	set _run ""
	___prepare__
	# A list to store correction trials.
	self.experiment.correction_trials = []
	__end__
	set description "Executes Python code"

define sequence experiment
	set flush_keyboard "yes"
	set description "The main sequence of the experiment"
	run init "always"
	run about_this_template "always"
	run block_loop "always"
	run repeat_msg "always"
	run repeat_loop "always"

define sequence trial_sequence
	set flush_keyboard "yes"
	set description "A single trial"
	run get_repeat "always"
	run text_display "[skip_trial] = no"
	run keyboard_response "[skip_trial] = no"
	run logger "[skip_trial] = no"
	run set_repeat "[skip_trial] = no"

define keyboard_response keyboard_response
	set description "Collects keyboard responses"
	set timeout "infinite"
	set flush "yes"

define logger logger
	set description "Logs experimental data"

define inline_script set_repeat
	___run__
	# A list of your conditions
	my_conditions = ['my_condition1', 'my_condition2'] 
	
	# Some criterion for when the trial should be repeated
	if self.get('response') == 'r':
	
		# Store all conditions of the current trial and add
		# them to the correction_trials list
		d = {}
		for cond in my_conditions:
			d[cond] = self.experiment.get(cond)
		print 'Adding %s' % d
		self.experiment.correction_trials.append(d)
	__end__
	set _prepare ""
	set description "Executes Python code"

define text_display text_display
	set foreground "white"
	set font_size "18"
	set description "Presents a display consisting of text"
	set maxchar "50"
	set align "center"
	__content__
	TRIAL [count_trial_sequence]
	
	my_condition1 = [my_condition1]
	my_condition2 = [my_condition2]
	is_repeat = [is_repeat]
	
	Press 'r' to repeat this trial and
	another key to continue.
	__end__
	set background "black"
	set duration "0"
	set font_family "mono"