code: def B3():
      def diffeq(t, y):
          dy0 = -y[0]
          dy1 = y[0] - y[1] * y[1]
          dy2 = y[1] * y[1]
          return torch.stack([dy0, dy1, dy2])
  
      def init():
          return torch.tensor(0.0), torch.tensor([1.0, 0.0, 0.0])
  
      return diffeq, init, None
  
imports: import math
  import torch
label_desc: Use image node_id 8 for calling a global function with example usage: B3() and returns: diffeq,  init,  None, torch, torch,  torch