code: def __init__(self, lr_scheduler_class: Type[SCHEDULER], *args, **kwargs):  # type: ignore
      args = list(args)
      if "optimizer" in kwargs:
          kwargs["optimizer"] = None
      else:
          args[0] = None
      super().__init__(lr_scheduler_class, *args, **kwargs)
  
imports: from __future__ import annotations
  from copy import deepcopy
  from typing import Callable, Dict, List, Type
  from torch import Tensor
  from torch.nn import Module
  from torch.optim import Optimizer
  from nni.common.serializer import is_traceable
  from nni.common.types import SCHEDULER
label_desc: Use image node_id 1 to create a new LRSchedulerConstructHelper object from inherited base classes: ConstructHelper with example: obj = LRSchedulerConstructHelper(lr_scheduler_class)