code: def shave_segments(path, n_shave_prefix_segments=1):
      """
      Removes segments. Positive values shave the first segments, negative shave the last segments.
      """
      if n_shave_prefix_segments >= 0:
          return ".".join(path.split(".")[n_shave_prefix_segments:])
      else:
          return ".".join(path.split(".")[:n_shave_prefix_segments])
  
file_path: llmga/llmga/diffusers/scripts/convert_ldm_original_checkpoint_to_diffusers.py
imports: import argparse
  import json
  import torch
  from diffusers import DDPMScheduler, LDMPipeline, UNet2DModel, VQModel
label_desc: Use image node_id 1 for calling a global function with example usage: shave_segments(path, n_shave_prefix_segments) and returns: str, str