code: def setUp(self):
      super().setUp()
      module = ToyModule(
          x=Parameter(torch.tensor(0.5, device=self.device)),
          b=Parameter(
              torch.tensor(0.0, device=self.device), requires_grad=False
          ),
          dummy=Parameter(torch.tensor(1.0, device=self.device)),
      ).to(self.device)
  
      self.closures = {}
      for dtype in ("float32", "float64"):
          m = module.to(dtype=getattr(torch, dtype))
          self.closures[dtype] = ForwardBackwardClosure(
              m, m.free_parameters
          )
  
imports: import time
  from functools import partial
  from typing import Dict
  from unittest.mock import MagicMock, patch
  import torch
  from botorch.optim import core
  from botorch.optim.closures import ForwardBackwardClosure, NdarrayOptimizationClosure
  from botorch.optim.core import OptimizationResult, OptimizationStatus, scipy_minimize, torch_minimize
  from botorch.utils.testing import BotorchTestCase
  from numpy import allclose
  from scipy.optimize import OptimizeResult
  from torch import Tensor
  from torch.nn import Module, Parameter
  from torch.optim.sgd import SGD
label_desc: Use image node_id 1 for calling the TestScipyMinimize obj's underlying member method code with example usage: obj.setUp() without return types