code: def _parse_vertex(vertex_row):
      """Parses a line in a PLY file which encodes a vertex coordinates.
  
      Args:
        vertex_row: string with vertex coordinates and color.
  
      Returns:
        2-tuple containing a length-3 array of vertex coordinates (as
        floats) and a length-3 array of RGB color values (as ints between 0
        and 255, inclusive).
      """
      vertex = vertex_row.strip().split()
      # The row must contain coordinates with RGB/RGBA color in addition to that.
      if len(vertex) >= 6:
          # Supports only RGB colors now, alpha channel will be ignored.
          # TODO(b/129298103): add support of RGBA in .ply files.
          return (
              [float(coord) for coord in vertex[:3]],
              [int(channel) for channel in vertex[3:6]],
          )
      raise ValueError("PLY file must contain vertices with colors.")
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_vertex(vertex_row) and returns: unknown,  unknown