docstr: Toy module for unit testing.
docstr_tok: ["Toy","module","for","unit","testing","."]
code: def __init__(
      self, w: Parameter, b: Parameter, x: Parameter, dummy: Parameter
  ):
      r"""Toy module for unit testing."""
      super().__init__()
      self.w = w
      self.b = b
      self.x = x
      self.dummy = dummy
  
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 to create a new ToyModule object from inherited base classes: Module with example: obj = ToyModule(w, b, x, dummy)