code: def step(self, closure=None):
      closure()
      for group in self.param_groups:
          _ = self.state[group["mod"]]["x"]
          _ = self.state[group["mod"]]["grad"]
      return True
  
imports: from copy import deepcopy
  from unittest.mock import DEFAULT, Mock, patch
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.core.optimizer import LightningOptimizer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loops.optimization.automatic import Closure
  from lightning.pytorch.tuner.tuning import Tuner
  from torch.optim import SGD, Adam, Optimizer
label_desc: Use image node_id 4 for calling the OptimizerWithHooks obj's underlying member method code with example usage: obj.step(closure) and returns: True