class_docstr: The standard deviation, with an associated order.
class_docstr_tok: ["The","standard","deviation",",","with","an","associated","order","."]
code: def __init__(
      self, name: Optional[str] = None, order: int = 0
  ) -> None:
      if name is None:
          if order == 0:
              name = "std_dev"
          elif order == 1:
              name = "sample_std_dev"
          else:
              name = f"std_dev{order})"
  
      super().__init__(name=name, order=order)
      self.order = order
  
imports: from typing import Any, Callable, List, Optional, TYPE_CHECKING
  import torch
  from torch import Tensor
label_desc: Use image node_id 1 to create a new StdDev object from inherited base classes: Stat with example: obj = StdDev(name, order)