code: def __init__(
      self, min_v: float = DEFAULT_MIN, max_v: float = DEFAULT_MAX
  ):
      self._min = min_v
      self._max = max_v
      if self._min >= self._max:
          raise ValueError(f"min[{min}] greater than max[{max}]")
  
imports: import math
  from collections import OrderedDict
  from typing import Sequence, Union
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new Clamper object  with example: obj = Clamper(min_v, max_v)