code: def _draw_square(r=1.0, g=0.0, b=1.0, **kwargs) -> torch.Tensor:
      gl.glClear(gl.GL_COLOR_BUFFER_BIT)
      gl.glColor3f(r, g, b)
      x1, x2 = -0.5, 0.5
      y1, y2 = -0.5, 0.5
      gl.glRectf(x1, y1, x2, y2)
      out_buffer = gl.glReadPixels(
          0,
          0,
          MAX_EGL_WIDTH,
          MAX_EGL_HEIGHT,
          gl.GL_RGB,
          gl.GL_UNSIGNED_BYTE,
      )
      image = torch.frombuffer(out_buffer, dtype=torch.uint8).reshape(
          MAX_EGL_HEIGHT, MAX_EGL_WIDTH, 3
      )
      return image
  
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 a global function with example usage: _draw_square(r, g, b) and returns: image