# Generated by OpenSesame 0.27.2 (Frisky Freud)
# Mon Jun  3 22:31:50 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 loop block_loop
	set repeat "1"
	set description "A single block of trials"
	set item "trial_sequence"
	set column_order ""
	set cycles "5"
	set order "random"
	run trial_sequence

define keyboard_response keyboard_response

define inline_script read_tables
	set _run ""
	___prepare__
	# Read the lists of the 40 rhyming pairs and the 60
	# non-rhyming pairs from two separate .csv files.

	# Specify the paths to the files containing the pairs
	# by using the built-in OpenSesame function exp.get_file.
	# For more info, see:
	# http://osdoc.cogsci.nl/python-inline-code/experiment-functions/#experiment.get_file
	path_rhymes = exp.get_file("rhyme_pairs.csv")
	path_non_rhymes = exp.get_file("non_rhyme_pairs.csv")
	# We'll use the built-in Python module numpy to read our .csv file:
	# Import the module:
	import numpy as np

	# And load the text file.
	# For more info, see:
	# http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
	list_rhymes = np.loadtxt(path_rhymes, dtype = str)
	list_non_rhymes = np.loadtxt(path_non_rhymes, dtype = str)

	# Make the two lists global for future use:
	global list_rhymes, list_non_rhymes
	__end__
	set description "Executes Python code"

define sequence trial_sequence
	set flush_keyboard "yes"
	set description "Runs a number of items in sequence"
	run inline_script "always"
	run sketchpad "always"
	run keyboard_response "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 ""
	set cycles "1"
	set order "random"
	run block_sequence

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

define inline_script block_list
	set _run ""
	___prepare__
	# Randomise the from-the-csv-files-read lists
	# and draw two samples containing the necessary numbers of
	# rhymes and non-rhymes, respectively.

	# First, we randomise the lists using the function random.shuffle() from
	# the built-in Python module random:
	# For more info, see:
	# http://docs.python.org/2/library/random.html#random.shuffle

	import random
	random.shuffle(list_rhymes)
	random.shuffle(list_non_rhymes)

	# We use the function random.sample()t to obtain two lists containing a convenient
	# number of rhyme-pairs and non-rhyme pairs.

	# The number of pairs per list list is equal to half of the
	# number of pairs in the original list (i.e. 20 rhyme-pairs and
	# 30 non-rhyme-pairs).

	# For more info, see:
	# http://docs.python.org/2/library/random.html#random.sample

	samples_rhymes = random.sample(list_rhymes,len(list_rhymes)/2)
	samples_non_rhymes = random.sample(list_non_rhymes,len(list_non_rhymes)/2)

	# Next, we merge the two lists to obtain one block list:
	block_list = samples_rhymes + samples_non_rhymes

	# Shuffle the new list:
	random.shuffle(block_list)

	# Finally, we make the block_list global for future use:
	global block_list
	__end__
	set description "Executes Python code"

define logger logger

define inline_script inline_script
	set _run ""
	___prepare__
	# Determine the word pair of the current trial by drawing one word
	# pair from the previously-defined block list.

	# To avoid that some pairs are shown twice, and others never, we draw
	# the pairs without replacement by using the built-in Python function
	# pop():
	# For more info, see:
	# http://docs.python.org/2/tutorial/datastructures.html
	stim_pair = block_list.pop()
	print stim_pair
	# The pair is separated by a comma (because they come from a .csv
	# file). We split them by using the built-in Python function split():
	# For more info, see:
	# http://docs.python.org/2/library/stdtypes.html#str.split
	word1, word2 = stim_pair.split(",")

	# Finally, to make the variables word1 and word2 available in the GUI
	# (e.g. a sketchpad item), we use the built-in OpenSesame function
	# exp.set():

	# Now, we can use the square-bracket method to display the values of those
	# two variables in the sketchphad item.
	# For more info, see:
	# http://osdoc.cogsci.nl/usage/variables-and-conditional-qifq-statements/

	exp.set("word1", word1)
	exp.set("word2", word2)
	__end__
	set description "Executes Python code"

define sketchpad sketchpad
	set duration "0"
	set description "Displays stimuli"
	draw textline -288.0 0.0 "[word1]" center=1 color=white font_family="mono" font_size=18 font_italic=no font_bold=no show_if="always"
	draw textline 192.0 0.0 "[word2]" center=1 color=white font_family="mono" font_size=18 font_italic=no font_bold=no 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 block_list "always"
	run block_loop "always"