code: def __init__(
      self,
      optimizer: Optimizer,
      mode="min",
      factor=0.1,
      patience=10,
      threshold=1e-4,
      threshold_mode="rel",
  ):
      assert mode in ["min", "max"] and threshold_mode in ["rel", "abs"]
      super().__init__(optimizer)
      (
          self.mode,
          self.factor,
          self.patience,
          self.threshold,
          self.threshold_mode,
      ) = (mode, factor, patience, threshold, threshold_mode)
      self.best = float("inf") if mode == "min" else float("-inf")
      self.bad_epoch = 0
  
      if mode == "min":
          self.threshold *= -1
  
imports: import math
  from typing import List
  from tinygrad.nn.optim import Optimizer
  from tinygrad.tensor import Tensor
label_desc: Use image node_id 1 to create a new ReduceLROnPlateau object from inherited base classes: LR_Scheduler with example: obj = ReduceLROnPlateau(optimizer, mode, factor, patience, threshold, threshold_mode)