






from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm

from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpta.tokenization_gpta import bytes_to_unicode






def    UpperCAmelCase__	(						lowerCamelCase  : str=10						):
   for _ in tqdm(range(0 ,args.n_examples ,lowerCamelCase						)						):
      yield [next(lowerCamelCase						)[args.text_column] for _ in range(lowerCamelCase						)]


# Configuration
_UpperCAmelCase				:	Tuple    						=    HfArgumentParser(TokenizerTrainingArguments)
_UpperCAmelCase				:	Any    						=    parser.parse_args()

# Base tokenizer
_UpperCAmelCase				:	List[Any]    						=    AutoTokenizer.from_pretrained(args.base_tokenizer)
_UpperCAmelCase				:	Union[str, Any]    						=    list(bytes_to_unicode().values())

# Load dataset
_UpperCAmelCase				:	List[Any]    						=    load_dataset(args.dataset_name, split='train', streaming=True)
_UpperCAmelCase				:	str    						=    iter(dataset)


# Training and saving
_UpperCAmelCase				:	Optional[int]    						=    tokenizer.train_new_from_iterator(
    batch_iterator(), vocab_size=args.vocab_size, initial_alphabet=base_vocab
)







new_tokenizer.save_pretrained(args.tokenizer_name, push_to_hub=args.push_to_hub)







import math
from decimal import Decimal, getcontext






def    UpperCAmelCase__	(						lowerCamelCase  : int = 4_00_00_00						):

   try:
      lowerCamelCase											=int(lowerCamelCase						)
   except (TypeError, ValueError):
      raise TypeError("""Parameter n must be int or castable to int."""						)
   if n <= 0:
      raise ValueError("""Parameter n must be greater than or equal to one."""						)
   lowerCamelCase											=1_00
   lowerCamelCase											=(Decimal(5						) ** Decimal(0.5						) + 1) / Decimal(2						)

   lowerCamelCase											=(math.floor(math.log(n * (phi + 2) ,lowerCamelCase						) - 1						) // 3) * 3 + 2
   lowerCamelCase											=Decimal(round(phi ** Decimal(index + 1						)						)						) / (phi + 2)
   lowerCamelCase											=num // 2
   return int(lowerCamelCase						)


if __name__ == "__main__":
   print(f"{solution() = }")