code: def read_config_file(filename):
      # The yaml file contains annotations that certain values should
      # loaded as tuples.
      with open(filename) as f:
          original_config = yaml.load(f, FullLoader)
  
      return original_config
  
imports: import argparse
  import tempfile
  import torch
  import yaml
  from accelerate import init_empty_weights, load_checkpoint_and_dispatch
  from transformers import CLIPTextModel, CLIPTokenizer
  from yaml.loader import FullLoader
  from diffusers import Transformer2DModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
  from diffusers.pipelines.vq_diffusion.pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings
label_desc: Use image node_id 16 for calling a global function with example usage: read_config_file(filename) and returns: original_config