code: def ray_triangle_intersection(ray_start, ray_vec, triangle):
      """Moeller–Trumbore intersection algorithm.
  
      Parameters
      ----------
      ray_start : np.ndarray
          Length three numpy array representing start of point.
  
      ray_vec : np.ndarray
          Direction of the ray.
  
      triangle : np.ndarray
          ``3 x 3`` numpy array containing the three vertices of a
          triangle.
  
      Returns
      -------
      bool
          ``True`` when there is an intersection.
  
      tuple
          Length three tuple containing the distance ``t``, and the
          intersection in unit triangle ``u``, ``v`` coordinates.  When
          there is no intersection, these values will be:
          ``[np.nan, np.nan, np.nan]``
  
      """
      # define a null intersection
      null_inter = np.array([np.nan, np.nan, np.nan])
  
      # break down triangle into the individual points
      v1, v2, v3 = triangle
      eps = 0.000001
  
      # compute edges
      edge1 = v2 - v1
      edge2 = v3 - v1
      pvec = np.cross(ray_vec, edge2)
      det = edge1.dot(pvec)
  
      if abs(det) < eps:  # no intersection
          return False, null_inter
      inv_det = 1.0 / det
      tvec = ray_start - v1
      u = tvec.dot(pvec) * inv_det
  
      if u < 0.0 or u > 1.0:  # if not intersection
          return False, null_inter
  
      qvec = np.cross(tvec, edge1)
      v = ray_vec.dot(qvec) * inv_det
      if v < 0.0 or u + v > 1.0:  # if not intersection
          return False, null_inter
  
      t = edge2.dot(qvec) * inv_det
      if t < eps:
          return False, null_inter
  
      return True, np.array([t, u, v])
  
label_desc: Use image node_id 1 for calling a global function with example usage: ray_triangle_intersection(ray_start, ray_vec, triangle) and returns: True,  np, False,  null_inter, False,  null_inter, False,  null_inter, False,  null_inter