code: def rename(input_string, max_depth=13):
      string = input_string
  
      if string.split(".")[0] == "timestep_embed":
          return string.replace("timestep_embed", "time_proj")
  
      depth = 0
      if string.startswith("net.3."):
          depth += 1
          string = string[6:]
      elif string.startswith("net."):
          string = string[4:]
  
      while string.startswith("main.7."):
          depth += 1
          string = string[7:]
  
      if string.startswith("main."):
          string = string[5:]
  
      # mid block
      if string[:2].isdigit():
          layer_num = string[:2]
          string_left = string[2:]
      else:
          layer_num = string[0]
          string_left = string[1:]
  
      if depth == max_depth:
          new_layer = MID_NUM_TO_LAYER[layer_num]
          prefix = "mid_block"
      elif depth > 0 and int(layer_num) < 7:
          new_layer = DOWN_NUM_TO_LAYER[layer_num]
          prefix = f"down_blocks.{depth}"
      elif depth > 0 and int(layer_num) > 7:
          new_layer = UP_NUM_TO_LAYER[layer_num]
          prefix = f"up_blocks.{max_depth - depth - 1}"
      elif depth == 0:
          new_layer = DEPTH_0_TO_LAYER[layer_num]
          prefix = (
              f"up_blocks.{max_depth - 1}"
              if int(layer_num) > 3
              else "down_blocks.0"
          )
  
      if not string_left.startswith("."):
          raise ValueError(
              f"Naming error with {input_string} and string_left: {string_left}."
          )
  
      string_left = string_left[1:]
  
      if "resnets" in new_layer:
          string_left = convert_resconv_naming(string_left)
      elif "attentions" in new_layer:
          new_string_left = convert_attn_naming(string_left)
          string_left = new_string_left
  
      if not isinstance(string_left, list):
          new_string = prefix + "." + new_layer + "." + string_left
      else:
          new_string = [
              prefix + "." + new_layer + "." + s for s in string_left
          ]
      return new_string
  
imports: import argparse
  import math
  import os
  from copy import deepcopy
  import torch
  from audio_diffusion.models import DiffusionAttnUnet1D
  from diffusion import sampling
  from torch import nn
  from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
label_desc: Use image node_id 6 for calling a global function with example usage: rename(input_string, max_depth) and returns: new_string, string