code: def main(args):
      all_csvs = sorted(glob.glob(f"{args.base_path}/*.csv"))
      all_csvs = [os.path.join(args.base_path, x) for x in all_csvs]
      is_pixart = "PixArt-alpha" in all_csvs[0]
      collate_csv(
          all_csvs, args.final_csv_filename, is_pixart=is_pixart
      )
  
      if args.push_to_hub:
          upload_file(
              repo_id=REPO_ID,
              path_in_repo=args.final_csv_filename,
              path_or_fileobj=args.final_csv_filename,
              repo_type="dataset",
          )
          print(
              f"CSV successfully uploaded. Find it here: https://huggingface.co/datasets/{REPO_ID}/blob/main/{args.final_csv_filename}"
          )
  
      if args.plot_title is not None:
          df = pd.read_csv(args.final_csv_filename)
          prepare_plot(df, args)
  
file_path: diffusion-fast/prepare_results.py
imports: import argparse
  import glob
  import os
  import sys
  import matplotlib.pyplot
  import pandas
  import seaborn
  from huggingface_hub import upload_file
  from utils.benchmarking_utils import collate_csv
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types