# Generated by OpenSesame 0.27.2~pre4 (Frisky Freud)
# Mon Apr  1 15:27:48 2013 (posix)
# <http://www.cogsci.nl/opensesame>

set foreground "white"
set subject_parity "even"
set description "A template containing a practice and an experimental phase"
set title "Extended template"
set compensation "0"
set coordinates "relative"
set height "768"
set mouse_backend "xpyriment"
set width "1024"
set sampler_backend "legacy"
set keyboard_backend "legacy"
set background "black"
set subject_nr "0"
set canvas_backend "xpyriment"
set start "experiment"
set synth_backend "legacy"

define inline_script determine_trial_type
	set _run ""
	___prepare__
	# Determine the trial type of the current trial
	# by 'popping' (i.e. taking without replacement)
	# one item from the previously-defined trial list.

	# We do this by using the built-in Python function pop():
	trial_type = trial_list.pop()

	# Next, we should set the variable 'trial_type' to
	# make it available in the GUI (notably, the Run-if
	# boxes in the trial_sequence item).

	# We do this by using the built-in OpenSesame experiment
	# function exp.set():
	exp.set("trial_type", trial_type)
	__end__
	set description "Executes Python code"

define inline_script determine_trial_order
	set _run ""
	___prepare__
	# Import the built-in Python module random:
	import random

	# Define counters:
	nTarget = 50
	nNonTarget = 250


	# Create a list containing for example 50 targets and
	# 250 non target:
	trial_list = ["target"]*nTarget+ ["non_target"]*nNonTarget

	# Shuffle the list by using the random.shuffle() function:
	random.shuffle(trial_list)

	# Check for two targets in a row:

	# Give the Boolean keepRunning a starting value:
	keepRunning = True

	# We walk through the list until our criteria are met:
	while keepRunning:

		# Set keepRunning to False
		keepRunning = False

		# For every item in the list, check whether this item AND the next
		# one are 'target' (note that we skip the very last one because
		# it has no following item):
		for i in range(len(trial_list)-1):

			# If the current item and the next one are 'target':
			if trial_list[i] == trial_list[i+1] == "target":

				# Set keepRunning to True, meaning the list doesn't meet our criteria yet:
				keepRunning = True

				# Swap the content of the current item and the previous one:
				trial_list[i], trial_list[i-1] = trial_list[i-1], trial_list[i]

				# And break from the current loop to walk through the list again:
				break

	# Make the trial_list global such that it becomes available in future inline_sript
	# items as well:
	global trial_list
	__end__
	set description "Executes Python code"

define loop block_loop
	set repeat "1"
	set description "A single block of trials"
	set item "trial_sequence"
	set column_order ""
	set cycles "300"
	set order "random"
	run trial_sequence

define sketchpad non_target
	set duration "750"
	set description "Displays stimuli"
	draw rect -50 -50 100 100 fill=1 penwidth=1 color=red show_if="always"

define sequence block_sequence
	set flush_keyboard "yes"
	set description "A sequence containing a single block of trials followed by feedback to the participant"
	run determine_trial_order "always"
	run block_loop "always"

define sketchpad fixdot
	set duration "500"
	set description "Displays stimuli"
	set start_response_interval "no"
	draw fixdot 0 0 color=white show_if="always"

define sketchpad target
	set duration "750"
	set description "Displays stimuli"
	draw circle 0 0 143.10835056 fill=1 penwidth=1 color=blue show_if="always"

define sequence trial_sequence
	set flush_keyboard "yes"
	set description "A single trial"
	run determine_trial_type "always"
	run target "[trial_type] = target"
	run non_target "[trial_type] = non_target"
	run fixdot "always"
	run logger "always"

define loop experimental_loop
	set repeat "1"
	set description "A loop containing one or more experimental blocks"
	set item "block_sequence"
	set column_order "practice"
	set cycles "1"
	set order "random"
	setcycle 0 practice "no"
	run block_sequence

define sequence experiment
	set flush_keyboard "yes"
	set description "The main sequence of the experiment"
	run experimental_loop "always"

define logger logger
	set description "Logs experimental data"