code: def _DTemplate(eps):
      def diffeq(t, y):
          r = (y[0] ** 2 + y[1] ** 2) ** (3 / 2)
          dy0 = y[2]
          dy1 = y[3]
          dy2 = -y[0] / r
          dy3 = -y[1] / r
          return torch.stack([dy0, dy1, dy2, dy3])
  
      def init():
          return torch.tensor(0.0), torch.tensor(
              [1 - eps, 0, 0, math.sqrt((1 + eps) / (1 - eps))]
          )
  
      return diffeq, init, None
  
imports: import math
  import torch
label_desc: Use image node_id 16 for calling a global function with example usage: _DTemplate(eps) and returns: diffeq,  init,  None, torch, torch,  torch