AttributeError: 'Window' object has no attribute '_closed'

Ornella

The experiment can run, but these errors and warnings have occurred, which may delay the process. How do I fix this? Help~

sebastiaan

Hi @Ornella ,

This seems like a bug in PsychoPy, and I suspect you're using an older version of OpenSesame (bundled with an older version of PsychoPy). Is that correct? If so, then I would update to the latest version of OpenSesame.

Also, I don't think the error itself is necessarily a problem, because I suspect it occurs at the very end when the experiment closes, right?

— Sebastiaan

Ornella

Hi @sebastiaan,

I have updated the version of OpenSesame. It works! Thank you very much!☺️😀

jevrihanna

Hi, I am getting the same error, but with opensesame 4.0.32 and psychopy 2024.2.5.

fyi I am trying to run an experiment where for speed reasons the canvases are drawn and stored in advance, and I get this error for every single canvas drawn, i.e. thousands of times per trial, so it kills the functionality of the experiment.

sebastiaan

@jevrihanna Can you post the code that you use to create the canvases and the exact error message that you get?

jevrihanna

Hi @sebastiaan, the code is as follows. First a template canvas is created:

# setup canvas and stimuli
canvas = Canvas(color="gray")
fix_pos = (0, ang2pix(7))
fix_symb = "F" if follow else "S"
canvas["fix"] = Text(fix_symb, x=fix_pos[0], y=fix_pos[1], color="black", font_size=72, font_bold=True)
circle_kwargs = {"color":"black", "penwidth":14}

# need to get the image size
canvas["image"] = Image(pool[filename])
image_size = canvas["image"].size
circle_size = max(image_size)/2
circle_size -= int(round(circle_size * circle_reduction))
del canvas["image"]
canvas["circle"] = Circle(0, 0, circle_size, **circle_kwargs)
canvas["fix_circle"] = Circle(0, 0, circle_size, **circle_kwargs)

# instructions
instr_str = follow_str if follow else fix_str
if practice:
    canvas["instructions"] = Text(f"{instr_str}\n\nFirst, keep your focus on the {fix_symb} below.", y=-ang2pix(6), color="black", font_size=48)

# get basic parameters calculated
img_width = image_size[0]
left_point = -1 * (width // 2) - img_width // 2 - circle_kwargs["penwidth"]
right_point = (width // 2) + img_width // 2 + circle_kwargs["penwidth"]
sleep_time = 1#1000 / mon_refresh - 5

# get the x coordinates 
cur_x = 0.
x_frames = []

# left to centre
while cur_x > left_point:
    x_frames.append(cur_x)
    cur_x -= pix_per_frame
# flip the order to make it left to centre
x_frames = x_frames[::-1]
# centre to right 
cur_x = 0.
while cur_x < right_point:
    cur_x += pix_per_frame
    x_frames.append(cur_x)
# flip if right to left
if not left:
    x_frames = x_frames[::-1]
canvas["circle"].x = x_frames[0]

# block/trial info
cur_trial += 1
cur_block = (cur_trial // block_size) + 1
print(f"{cur_trial} {cur_block}")

Then we wait for eyetracker fixation:

canvas.show()
# wait for eyes to fixate for a certain period of time, and recalibrate if necessary
if not wait_for_gaze(fix_pos, 2500, tolerance=32, gaze_timeout=10000):
    send_triggers(3,'Recalibration start')
    eyetracker.calibrate()
    eyetracker.start_recording()
    send_triggers(4,'Recalibration end')
    items.run(u"fixate")
    
if practice:
    del canvas["instructions"]
# replace instructional symbol with +
del canvas["fix"]
canvas["fix"] = Text("+", x=fix_pos[0], y=fix_pos[1], color="black", font_size=48, font_bold=True)
canvas.show()
# jittered delay
clock.sleep(random.randint(jitt_low, jitt_high))

Then the canvas is iteratively copied with small translational changes to one object

start_time = clock.time()
canvases = []
## move the stimuli across the screen
revealed= False
ur_canvas = canvas
for x_idx, x_f in enumerate(x_frames):
    this_canvas = Canvas()
    this_canvas.copy(ur_canvas)
    if x_f == 0.: # centre
        revealed = True
        zero_idx = x_idx
        # this if-else makes the moving image overlap the still image during SP,
        # and reversed if fixation
        if follow:
            this_canvas["fix_stimulus"] = Image(pool[filename])
            this_canvas["stimulus"] = Image(pool[filename])
        else:
            this_canvas["stimulus"] = Image(pool[filename])
            this_canvas["fix_stimulus"] = Image(pool[filename])
    if revealed:
        this_canvas["stimulus"].x = x_f
    this_canvas["circle"].x = x_f
    canvases.append(this_canvas)
    ur_canvas = this_canvas
stop_time = clock.time()
print(stop_time-start_time)

This error message is repeated 100s of times:

AttributeError: 'Window' object has no attribute '_closed'Exception ignored in: <function Window.__del__ at 0x7f727ebed040>

Traceback (most recent call last):

 File "/home/stimulus/miniconda3/envs/2025SP1/lib/python3.9/site-packages/psychopy/visual/window.py", line 664, in __del__

   if self._closed is False: