code: def test_draw_square(self):
      context = EGLContext(width=MAX_EGL_WIDTH, height=MAX_EGL_HEIGHT)
      with context.active_and_locked():
          rendering_result = _draw_square().float()
          expected_result = torch.zeros(
              (MAX_EGL_WIDTH, MAX_EGL_HEIGHT, 3), dtype=torch.float
          )
          start_px = int(MAX_EGL_WIDTH / 4)
          end_px = int(MAX_EGL_WIDTH * 3 / 4)
          expected_result[start_px:end_px, start_px:end_px, 0] = 255.0
          expected_result[start_px:end_px, start_px:end_px, 2] = 255.0
  
      self.assertTrue(torch.all(expected_result == rendering_result))
  
imports: import ctypes
  import os
  import sys
  import threading
  import unittest
  import torch
  import pycuda._driver
  from OpenGL import GL
  from OpenGL.raw.EGL._errors import EGLError
  from pytorch3d.renderer.opengl import _can_import_egl_and_pycuda
  from pytorch3d.renderer.opengl.opengl_utils import _define_egl_extension, _egl_convert_to_int_array, _get_cuda_device, egl, EGLContext, global_device_context_store
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 1 for calling the TestOpenGLSingleThreaded obj's underlying member method code with example usage: obj.test_draw_square() without return types