code: def encode_csv(
      csv_path,
      out_path="csv_encoded.txt",
      header=True,
      start_token="<|startoftext|>",
      end_token="<|endoftext|>",
  ):
      """Encodes a single-column CSV to a format suitable for gpt-2-simple.
      Automatically adds the specified prefix and suffix tokens.
      """
  
      with open(csv_path, "r", encoding="utf8", errors="ignore") as f:
          with open(
              out_path, "w", encoding="utf8", errors="ignore"
          ) as w:
              if header:
                  f.readline()
              reader = csv.reader(f)
              for row in reader:
                  w.write(start_token + row[0] + end_token + "\n")
  
imports: import tarfile
  import os
  import json
  import requests
  import sys
  import shutil
  import re
  from tqdm import tqdm, trange
  import numpy
  import tensorflow
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import device_lib
  import time
  from datetime import datetime
  import csv
  import argparse
  from sys import exit
  import codecs
  from gpt_2_simple.src import model, sample, encoder, memory_saving_gradients
  from gpt_2_simple.src.load_dataset import load_dataset, Sampler
  from gpt_2_simple.src.accumulate import AccumulatingOptimizer
label_desc: Use image node_id 18 for calling a global function with example usage: encode_csv(csv_path, out_path, header, start_token, end_token) without return types