code: def enforce_min_unique(seqs, min_unique_tokens, enc, verbose=False):
      for seq in tqdm(
          seqs,
          mininterval=1,
          smoothing=0,
          desc="enforce_min_unique_tokens",
      ):
          if len(set(seq)) >= min_unique_tokens:
              yield seq
          elif verbose:
              text = enc.decode(seq)
              print(
                  f"excluding with {len(set(seq))} unique tokens:\n\n{repr(text)}\n\n"
              )
  
imports: import argparse
  import os
  import re
  import random
  from pathlib import Path
  from typing import List
  import ftfy
  import tensorflow
  from lm_dataformat import Reader
  from transformers import GPT2TokenizerFast
  from tqdm import tqdm
label_desc: Use image node_id 8 for calling a global function with example usage: enforce_min_unique(seqs, min_unique_tokens, enc, verbose) without return types