code: def _render_line(canvas, curr_pos, l_args, absolute, color):
      """Renders a line in the given canvas."""
      end_point = l_args
      if not absolute:
          end_point[0] += curr_pos[0]
          end_point[1] += curr_pos[1]
      rr, cc, val = draw.line_aa(
          int(curr_pos[0]),
          int(curr_pos[1]),
          int(end_point[0]),
          int(end_point[1]),
      )
  
      max_possible = len(canvas)
      within_range = lambda x: 0 <= x < max_possible
      filtered = [
          (x, y, v)
          for x, y, v in zip(rr, cc, val)
          if within_range(x) and within_range(y)
      ]
      if not filtered:
          return
      rr, cc, val = list(zip(*filtered))
      val = [(v * color) for v in val]
      canvas[cc, rr, :] = val
  
imports: import io
  import numpy
  from PIL import Image
  from six.moves import zip_longest
  from skimage import draw
  import tensorflow.compat.v1
label_desc: Use image node_id 25 for calling a global function with example usage: _render_line(canvas, curr_pos, l_args, absolute, color) without return types