code: def __init__(self, sde, **kwargs):
      self.strong_order = (
          1.0 if sde.noise_type == NOISE_TYPES.additive else 0.5
      )
      super(ReversibleHeun, self).__init__(sde=sde, **kwargs)
  
file_path: torchsde/torchsde/_core/methods/reversible_heun.py
imports: import torch
  from ..None import adjoint_sde
  from ..None import base_solver
  from ..None import misc
  from ...settings import SDE_TYPES, NOISE_TYPES, LEVY_AREA_APPROXIMATIONS, METHODS
label_desc: Use image node_id 1 to create a new ReversibleHeun object from inherited base classes: base_solver with example: obj = ReversibleHeun(sde)