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

Comments

• sebastiaan

  May 2024

  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

  
  
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• Ornella

  May 2024

  Hi @sebastiaan,

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

  February 18

  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

  February 20

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

  
  
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• jevrihanna

  February 21 edited February 21

  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: