code: def snapshot(self, new_score: float) -> bool:
      self._incrementer.update(new_score)
      mean, std = self._incrementer.mean, self._incrementer.std
      std = max(std, 1.0e-8)
      if new_score < mean - std:
          max_decrease = self.overfit_tolerance / self.patience
          decrease = min(max_decrease, (mean - new_score) / std + 1.0)
          self.overfit_level += decrease
      elif new_score > mean + std:
          improvement = (new_score - mean) / std - 1.0
          self.overfit_level = max(
              0.0, self.overfit_level - improvement
          )
      return super().snapshot(new_score)
  
imports: import math
  from typing import Optional
  from cftool.misc import Incrementer
  from .schema import TrainerMonitor
label_desc: Use image node_id 2 for calling the MeanStdMonitor obj's underlying member method code with example usage: obj.snapshot(new_score) and returns: super