code: def prepare_inputs(
      self, x: torch.Tensor, s: float, c: Dict, uc: Dict
  ) -> Tuple[torch.Tensor, float, Dict]:
      c_out = dict()
  
      for k in c:
          c_out[k] = c[k]
  
      return x, s, c_out
  
imports: import logging
  from abc import ABC, abstractmethod
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  from einops import rearrange, repeat
  from ...util import append_dims, default
label_desc: Use image node_id 2 for calling the IdentityGuider obj's underlying member method code with example usage: obj.prepare_inputs(x, s, c, uc) and returns: x,  s,  c_out