shape generating

# Generated by OpenSesame 0.27.4 (Frisky Freud)
# Mon Sep 23 12:34:20 2013 (nt)
# <http://www.cogsci.nl/opensesame>

set mouse_backend "xpyriment"
set subject_parity "even"
set height "768"
set font_family "sans"
set font_italic "no"
set custom_cursor "yes"
set synth_backend "legacy"
set title "visuospatial_1234"
set coordinates "relative"
set start "experiment"
set sampler_backend "legacy"
set transparent_variables "no"
set foreground "Black"
set font_bold "no"
set description "Default description"
set background "White"
set font_size "20"
set enable_escape "yes"
set keyboard_backend "legacy"
set canvas_backend "xpyriment"
set compensation "0"
set subject_nr "0"
set width "1366"

define loop practice
    set repeat "1"
    set description "Repeatedly runs another item"
    set item "practice_sequence"
    set column_order ""
    set cycles "1"
    set order "sequential"
    run practice_sequence

define loop p_block_loop
    set repeat "1"
    set description "Repeatedly runs another item"
    set skip "0"
    set item "p_trial_sequence"
    set column_order ""
    set cycles "50"
    set order "sequential"
    run p_trial_sequence

define sequence experiment
    set flush_keyboard "yes"
    set description "Runs a number of items in sequence"
    run read_point_files "always"
    run practice "always"

define sketchpad p_trial_display
    set duration "0"
    set description "Displays stimuli"
    draw textline -180 0 "[shape1]" center=1 color=black font_family="sans" font_size=40 font_italic=no font_bold=no show_if="always" html="yes"
    draw textline 180 0 "[shape2]" center=1 color=black font_family="sans" font_size=40 font_italic=no font_bold=no show_if="always" html="yes"
    draw rect -480 -160 960 320 fill=0 penwidth=3 color=black show_if="always"

define sequence practice_sequence
    set flush_keyboard "yes"
    set description "Runs a number of items in sequence"
    run ongoing_task "always"
    run p_block_loop "always"

define inline_script ongoing_task
    set _run ""
    ___prepare__
    # For both images, shuffle points:

    import random
    image1 = random.shuffle(image1_points)
    image2 = random.shuffle(image2_points)

    # Make lists global for future use
    global image1, image2
    __end__
    set description "Executes Python code"

define sequence p_trial_sequence
    set flush_keyboard "yes"
    set description "Runs a number of items in sequence"
    run ongoing_script "always"
    run p_trial_display "always"

define inline_script ongoing_script
    set _run ""
    ___prepare__
    # Create the shape generating script:

    # First, define a list of numerical values representing an 'n' sided-shape
    n = [12,8,6,4,3]

    # Then, we need a random value from 'n' for every shape presented:
    #(code found in cogsci.nl thread http://forum.cogsci.nl/index.php?p=/
    # discussion/325/solved-question-randomization-on-one-page-using-forms/p1)
    random.shuffle(n) # Shuffle the list order
    while len(n) > 0: # While the list is not empty
        nss = n.pop() # 'Pop' the first item

    # Import the built-in OS function 'canvas':
    from openexp .canvas import canvas
    p_trial_display = canvas(exp)

    # ...  each group of 'image points' totals 24 points, so divide by value of 'nss'
    # and take a random sample to generate various randomly presented 3, 4, 6, 8 and 12
    # sided shapes:
    shape_1 = random.sample(image1, len(image1)/nss)
    shape_2 = random.sample(image2, len(image2)/nss)
    # Use variables 'shape1' and 'shape2' with the polygon function:
    shape1 = p_trial_display.polygon(shape_1)
    shape2 = p_trial_display.polygon(shape_2)

    # Set variables using built-in OS function exp.set, to make variables
    # available in GUI (i.e. sketchpad item):
    exp.set('shape1', shape1)
    exp.set('shape2', shape2)
    __end__
    set description "Executes Python code"

define inline_script read_point_files
    set _run ""
    ___prepare__
    # Read the coordinate points from the two .txt files.

    # Specify the path to the files by using the built-in OpenSesame function exp.get_file.
    path_image1_points = exp.get_file('image1_points.txt')
    path_image2_points = exp.get_file('image2_points.txt')

    # Use the built-in Python module numpy to read the .txt files:
    # Import the module
    import numpy as np

    # And load the text file, with value set to 'integer':
    image1_points = np.loadtxt(path_image1_points, dtype=int)
    image2_points = np.loadtxt(path_image2_points, dtype=int)

    # Make the files global for future use:
    global image1_points, image2_points
    __end__
    set description "Executes Python code"