code: def setUp(self):
      super().setUp()
      self.module = ToyModule(
          w=Parameter(torch.tensor(2.0)),
          b=Parameter(torch.tensor(3.0), requires_grad=False),
          x=Parameter(torch.tensor(4.0)),
          dummy=Parameter(torch.tensor(5.0)),
      ).to(self.device)
  
      self.wrappers = {}
      for dtype in ("float32", "float64"):
          module = self.module.to(dtype=getattr(torch, dtype))
          closure = ForwardBackwardClosure(
              module, module.free_parameters
          )
          wrapper = NdarrayOptimizationClosure(
              closure, closure.parameters
          )
          self.wrappers[dtype] = wrapper
  
imports: from contextlib import nullcontext
  from functools import partial
  from typing import Dict
  from unittest.mock import MagicMock
  import numpy
  import torch
  from botorch.optim.closures.core import ForwardBackwardClosure, get_tensors_as_ndarray_1d, NdarrayOptimizationClosure
  from botorch.optim.utils import as_ndarray
  from botorch.utils.context_managers import zero_grad_ctx
  from botorch.utils.testing import BotorchTestCase
  from linear_operator.utils.errors import NanError, NotPSDError
  from torch.nn import Module, Parameter
label_desc: Use image node_id 1 for calling the TestNdarrayOptimizationClosure obj's underlying member method code with example usage: obj.setUp() without return types