code: def E1():
      def diffeq(t, y):
          dy0 = y[1]
          dy1 = -(y[1] / (t + 1) + (1 - 0.25 / (t + 1) ** 2) * y[0])
          return torch.stack([dy0, dy1])
  
      def init():
          return torch.tensor(0.0), torch.tensor(
              [0.671396707141803, 0.0954005144474744]
          )
  
      return diffeq, init, None
  
imports: import math
  import torch
label_desc: Use image node_id 17 for calling a global function with example usage: E1() and returns: diffeq,  init,  None, torch, torch,  torch