



__lowerCamelCase         =			range(2, 20 + 1)
__lowerCamelCase         =			[10**k for k in range(ks[-1] + 1)]
__lowerCamelCase         =			{}







def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case					,  __snake_case    )     ->     Union[str, Any]:






      '''simple docstring'''







      UpperCAmelCase_  :	int				      =		sum(a_i[j] for j in range(__snake_case					,  len(__snake_case    )    )    )
      UpperCAmelCase_  :	List[Any]				      =		sum(a_i[j] * base[j] for j in range(min(len(__snake_case    )					,  __snake_case    )    )    )

      UpperCAmelCase_      ,      UpperCAmelCase_  :	Optional[int]				      =		0, 0
      UpperCAmelCase_  :	Any				      =		n - i

      UpperCAmelCase_  :	Optional[int]				      =		memo.get(__snake_case    )

      if sub_memo is not None:
            UpperCAmelCase_  :	Union[str, Any]				      =		sub_memo.get(__snake_case    )

            if jumps is not None and len(__snake_case    ) > 0:
                  # find and make the largest jump without going over
                  UpperCAmelCase_  :	List[str]				      =		-1
                  for _k in range(len(__snake_case    ) - 1					,  -1					,  -1    ):
                        if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
                              UpperCAmelCase_  :	str				      =		_k
                              break

                  if max_jump >= 0:
                        UpperCAmelCase_      ,      UpperCAmelCase_      ,      UpperCAmelCase_  :	Any				      =		jumps[max_jump]
                        # since the difference between jumps is cached, add c
                        UpperCAmelCase_  :	Union[str, Any]				      =		diff + c
                        for j in range(min(__snake_case					,  len(__snake_case    )    )    ):
                              UpperCAmelCase_      ,      UpperCAmelCase_  :	Any				      =		divmod(__snake_case					,  1_0    )
                        if new_c > 0:
                              add(__snake_case					,  __snake_case					,  __snake_case    )

            else:
                  UpperCAmelCase_  :	int				      =		[]
      else:
            UpperCAmelCase_  :	Dict				      =		{c: []}
            UpperCAmelCase_  :	Optional[int]				      =		sub_memo

      if dn >= max_dn or c + diff >= base[k]:
            return diff, dn

      if k > ks[0]:
            while True:
                  # keep doing smaller jumps
                  UpperCAmelCase_      ,      UpperCAmelCase_  :	Tuple				      =		next_term(__snake_case					,  k - 1					,  i + dn					,  __snake_case    )
                  diff += _diff
                  dn += terms_jumped

                  if dn >= max_dn or c + diff >= base[k]:
                        break
      else:
            # would be too small a jump, just compute sequential terms instead
            UpperCAmelCase_      ,      UpperCAmelCase_  :	List[Any]				      =		compute(__snake_case					,  __snake_case					,  i + dn					,  __snake_case    )
            diff += _diff
            dn += terms_jumped

      UpperCAmelCase_  :	Optional[int]				      =		sub_memo[c]

      # keep jumps sorted by # of terms skipped
      UpperCAmelCase_  :	str				      =		0
      while j < len(__snake_case    ):
            if jumps[j][1] > dn:
                  break
            j += 1

      # cache the jump for this value digitsum(b) and c
      sub_memo[c].insert(__snake_case					,  (diff, dn, k)    )
      return (diff, dn)







def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case					,  __snake_case    )     ->     List[str]:






      '''simple docstring'''







      if i >= n:
            return 0, i
      if k > len(__snake_case    ):
            a_i.extend([0 for _ in range(k - len(__snake_case    )    )]    )

      # note: a_i -> b * 10^k + c
      # ds_b -> digitsum(b)
      # ds_c -> digitsum(c)
      UpperCAmelCase_  :	str				      =		i
      UpperCAmelCase_      ,      UpperCAmelCase_      ,      UpperCAmelCase_  :	int				      =		0, 0, 0
      for j in range(len(__snake_case    )    ):
            if j >= k:
                  ds_b += a_i[j]
            else:
                  ds_c += a_i[j]

      while i < n:
            i += 1
            UpperCAmelCase_  :	Tuple				      =		ds_c + ds_b
            diff += addend
            UpperCAmelCase_  :	Union[str, Any]				      =		0
            for j in range(__snake_case    ):
                  UpperCAmelCase_  :	Optional[Any]				      =		a_i[j] + addend
                  UpperCAmelCase_      ,      UpperCAmelCase_  :	Optional[Any]				      =		divmod(__snake_case					,  1_0    )

                  ds_c += a_i[j]

            if addend > 0:
                  break

      if addend > 0:
            add(__snake_case					,  __snake_case					,  __snake_case    )
      return diff, i - start_i







def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     Any:






      '''simple docstring'''







      for j in range(__snake_case					,  len(__snake_case    )    ):
            UpperCAmelCase_  :	int				      =		digits[j] + addend
            if s >= 1_0:
                  UpperCAmelCase_      ,      UpperCAmelCase_  :	str				      =		divmod(__snake_case					,  1_0    )
                  UpperCAmelCase_  :	int				      =		addend // 1_0 + quotient
            else:
                  UpperCAmelCase_  :	Optional[int]				      =		s
                  UpperCAmelCase_  :	Any				      =		addend // 1_0

            if addend == 0:
                  break

      while addend > 0:
            UpperCAmelCase_      ,      UpperCAmelCase_  :	Tuple				      =		divmod(__snake_case					,  1_0    )
            digits.append(__snake_case    )







def    _snake_case (       __snake_case = 1_0**1_5    )     ->     int:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[Any]				      =		[1]
      UpperCAmelCase_  :	int				      =		1
      UpperCAmelCase_  :	Union[str, Any]				      =		0
      while True:
            UpperCAmelCase_      ,      UpperCAmelCase_  :	Optional[int]				      =		next_term(__snake_case					,  2_0					,  i + dn					,  __snake_case    )
            dn += terms_jumped
            if dn == n - i:
                  break

      UpperCAmelCase_  :	Tuple				      =		0
      for j in range(len(__snake_case    )    ):
            a_n += digits[j] * 1_0**j
      return a_n


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





import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__lowerCamelCase         =			logging.getLogger(__name__)







def    _snake_case (       )     ->     Dict:






      '''simple docstring'''







      UpperCAmelCase_  :	Any				      =		argparse.ArgumentParser(
          description="Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids)."    )
      parser.add_argument("--file_path"					,  type=__snake_case					,  default="data/dump.txt"					,  help="The path to the data."    )
      parser.add_argument("--tokenizer_type"					,  type=__snake_case					,  default="bert"					,  choices=["bert", "roberta", "gpt2"]    )
      parser.add_argument("--tokenizer_name"					,  type=__snake_case					,  default="bert-base-uncased"					,  help="The tokenizer to use."    )
      parser.add_argument("--dump_file"					,  type=__snake_case					,  default="data/dump"					,  help="The dump file prefix."    )
      UpperCAmelCase_  :	str				      =		parser.parse_args()

      logger.info(F"""Loading Tokenizer ({args.tokenizer_name})"""    )
      if args.tokenizer_type == "bert":
            UpperCAmelCase_  :	int				      =		BertTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	Optional[Any]				      =		tokenizer.special_tokens_map["cls_token"]  # `[CLS]`
            UpperCAmelCase_  :	Dict				      =		tokenizer.special_tokens_map["sep_token"]  # `[SEP]`
      elif args.tokenizer_type == "roberta":
            UpperCAmelCase_  :	str				      =		RobertaTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	int				      =		tokenizer.special_tokens_map["cls_token"]  # `<s>`
            UpperCAmelCase_  :	Optional[Any]				      =		tokenizer.special_tokens_map["sep_token"]  # `</s>`
      elif args.tokenizer_type == "gpt2":
            UpperCAmelCase_  :	Tuple				      =		GPTaTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	List[Any]				      =		tokenizer.special_tokens_map["bos_token"]  # `<|endoftext|>`
            UpperCAmelCase_  :	List[str]				      =		tokenizer.special_tokens_map["eos_token"]  # `<|endoftext|>`

      logger.info(F"""Loading text from {args.file_path}"""    )
      with open(args.file_path					,  "r"					,  encoding="utf8"    ) as fp:
            UpperCAmelCase_  :	Union[str, Any]				      =		fp.readlines()

      logger.info("Start encoding"    )
      logger.info(F"""{len(__snake_case    )} examples to process."""    )

      UpperCAmelCase_  :	List[str]				      =		[]
      UpperCAmelCase_  :	str				      =		0
      UpperCAmelCase_  :	Union[str, Any]				      =		1_0_0_0_0
      UpperCAmelCase_  :	int				      =		time.time()
      for text in data:
            UpperCAmelCase_  :	str				      =		F"""{bos} {text.strip()} {sep}"""
            UpperCAmelCase_  :	Any				      =		tokenizer.encode(__snake_case					,  add_special_tokens=__snake_case    )
            rslt.append(__snake_case    )

            iter += 1
            if iter % interval == 0:
                  UpperCAmelCase_  :	List[str]				      =		time.time()
                  logger.info(F"""{iter} examples processed. - {(end-start):.2f}s/{interval}expl"""    )
                  UpperCAmelCase_  :	Optional[Any]				      =		time.time()
      logger.info("Finished binarization"    )
      logger.info(F"""{len(__snake_case    )} examples processed."""    )

      UpperCAmelCase_  :	List[Any]				      =		F"""{args.dump_file}.{args.tokenizer_name}.pickle"""
      UpperCAmelCase_  :	Optional[int]				      =		tokenizer.vocab_size
      if vocab_size < (1 << 1_6):
            UpperCAmelCase_  :	List[Any]				      =		[np.uintaa(__snake_case    ) for d in rslt]
      else:
            UpperCAmelCase_  :	str				      =		[np.intaa(__snake_case    ) for d in rslt]
      random.shuffle(rslt_    )
      logger.info(F"""Dump to {dp_file}"""    )
      with open(__snake_case					,  "wb"    ) as handle:
            pickle.dump(rslt_					,  __snake_case					,  protocol=pickle.HIGHEST_PROTOCOL    )


if __name__ == "__main__":
   main()
