





"""simple docstring"""
from collections.abc import Generator
from math import sin



def      __lowerCamelCase   (							a_     :		bytes							)			->      bytes:
      if len(a_							) != 32:
            raise ValueError('''Input must be of length 32'''							)

      __SCREAMING_SNAKE_CASE   :Any						=  b''''''
      for i in [3, 2, 1, 0]:
            little_endian += string_aa[8 * i : 8 * i + 8]
      return little_endian



def      __lowerCamelCase   (							a_     :		int							)			->      bytes:
      if i < 0:
            raise ValueError('''Input must be non-negative'''							)

      __SCREAMING_SNAKE_CASE   :Any						=  format(a_ ,   '''08x'''							)[-8:]
      __SCREAMING_SNAKE_CASE   :Dict						=  b''''''
      for i in [3, 2, 1, 0]:
            little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('''utf-8'''							)
      return little_endian_hex



def      __lowerCamelCase   (							a_     :		bytes							)			->      bytes:
      __SCREAMING_SNAKE_CASE   :Any						=  b''''''
      for char in message:
            bit_string += format(a_ ,   '''08b'''							).encode('''utf-8'''							)
      __SCREAMING_SNAKE_CASE   :Any						=  format(len(a_							) ,   '''064b'''							).encode('''utf-8'''							)

      # Pad bit_string to a multiple of 512 chars
      bit_string += b"1"
      while len(a_							) % 5_12 != 4_48:
            bit_string += b"0"
      bit_string += to_little_endian(start_len[32:]							) + to_little_endian(start_len[:32]							)

      return bit_string



def      __lowerCamelCase   (							a_     :		bytes							)			->      Generator[list[int], None, None]:
      if len(a_							) % 5_12 != 0:
            raise ValueError('''Input must have length that\'s a multiple of 512'''							)

      for pos in range(0 ,   len(a_							) ,   5_12							):
            __SCREAMING_SNAKE_CASE   :str						=  bit_string[pos : pos + 5_12]
            __SCREAMING_SNAKE_CASE   :List[str]						=  []
            for i in range(0 ,   5_12 ,   32							):
                  block_words.append(int(to_little_endian(block[i : i + 32]							) ,   2							)							)
            yield block_words



def      __lowerCamelCase   (							a_     :		int							)			->      int:
      if i < 0:
            raise ValueError('''Input must be non-negative'''							)

      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  format(a_ ,   '''032b'''							)
      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  ''''''
      for c in i_str:
            new_str += "1" if c == "0" else "0"
      return int(a_ ,   2							)



def      __lowerCamelCase   (							a_     :		int ,   a_     :		int							)			->      int:
      return (a + b) % 2**32



def      __lowerCamelCase   (							a_     :		int ,   a_     :		int							)			->      int:
      if i < 0:
            raise ValueError('''Input must be non-negative'''							)
      if shift < 0:
            raise ValueError('''Shift must be non-negative'''							)
      return ((i << shift) ^ (i >> (32 - shift))) % 2**32



def      __lowerCamelCase   (							a_     :		bytes							)			->      bytes:
      __SCREAMING_SNAKE_CASE   :Dict						=  preprocess(a_							)

      __SCREAMING_SNAKE_CASE   :int						=  [int(2**32 * abs(sin(i + 1							)							)							) for i in range(64							)]

      # Starting states
      __SCREAMING_SNAKE_CASE   :str						=  0X6_7_4_5_2_3_0_1
      __SCREAMING_SNAKE_CASE   :List[Any]						=  0Xe_f_c_d_a_b_8_9
      __SCREAMING_SNAKE_CASE   :Tuple						=  0X9_8_b_a_d_c_f_e
      __SCREAMING_SNAKE_CASE   :Tuple						=  0X1_0_3_2_5_4_7_6

      __SCREAMING_SNAKE_CASE   :int						=  [
          7,
          12,
          17,
          22,
          7,
          12,
          17,
          22,
          7,
          12,
          17,
          22,
          7,
          12,
          17,
          22,
          5,
          9,
          14,
          20,
          5,
          9,
          14,
          20,
          5,
          9,
          14,
          20,
          5,
          9,
          14,
          20,
          4,
          11,
          16,
          23,
          4,
          11,
          16,
          23,
          4,
          11,
          16,
          23,
          4,
          11,
          16,
          23,
          6,
          10,
          15,
          21,
          6,
          10,
          15,
          21,
          6,
          10,
          15,
          21,
          6,
          10,
          15,
          21,
      ]

      # Process bit string in chunks, each with 16 32-char words
      for block_words in get_block_words(a_							):
            __SCREAMING_SNAKE_CASE   :Tuple						=  aa
            __SCREAMING_SNAKE_CASE   :Any						=  ba
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  ca
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  da

            # Hash current chunk
            for i in range(64							):
                  if i <= 15:
                        # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                        __SCREAMING_SNAKE_CASE   :Optional[Any]						=  d ^ (b & (c ^ d))
                        __SCREAMING_SNAKE_CASE   :Tuple						=  i
                  elif i <= 31:
                        # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                        __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  c ^ (d & (b ^ c))
                        __SCREAMING_SNAKE_CASE   :Optional[Any]						=  (5 * i + 1) % 16
                  elif i <= 47:
                        __SCREAMING_SNAKE_CASE   :int						=  b ^ c ^ d
                        __SCREAMING_SNAKE_CASE   :Optional[int]						=  (3 * i + 5) % 16
                  else:
                        __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  c ^ (b | not_aa(a_							))
                        __SCREAMING_SNAKE_CASE   :int						=  (7 * i) % 16
                  __SCREAMING_SNAKE_CASE   :int						=  (f + a + added_consts[i] + block_words[g]) % 2**32
                  __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  d
                  __SCREAMING_SNAKE_CASE   :Optional[int]						=  c
                  __SCREAMING_SNAKE_CASE   :Dict						=  b
                  __SCREAMING_SNAKE_CASE   :Tuple						=  sum_aa(a_ ,   left_rotate_aa(a_ ,   shift_amounts[i]							)							)

            # Add hashed chunk to running total
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  sum_aa(a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :Optional[int]						=  sum_aa(a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :int						=  sum_aa(a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :Optional[Any]						=  sum_aa(a_ ,   a_							)

      __SCREAMING_SNAKE_CASE   :int						=  reformat_hex(a_							) + reformat_hex(a_							) + reformat_hex(a_							) + reformat_hex(a_							)
      return digest


if __name__ == "__main__":
  import doctest

  doctest.testmod()






"""simple docstring"""
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      __lowerCamelCase   (							)			->      int:
      __SCREAMING_SNAKE_CASE   :Union[str, 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=a_ ,   default='''data/dump.txt''' ,   help='''The path to the data.'''							)
      parser.add_argument('''--tokenizer_type''' ,   type=a_ ,   default='''bert''' ,   choices=['''bert''', '''roberta''', '''gpt2''']							)
      parser.add_argument('''--tokenizer_name''' ,   type=a_ ,   default='''bert-base-uncased''' ,   help='''The tokenizer to use.'''							)
      parser.add_argument('''--dump_file''' ,   type=a_ ,   default='''data/dump''' ,   help='''The dump file prefix.'''							)
      __SCREAMING_SNAKE_CASE   :Any						=  parser.parse_args()

      logger.info(f'''Loading Tokenizer ({args.tokenizer_name})'''							)
      if args.tokenizer_type == "bert":
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  BertTokenizer.from_pretrained(args.tokenizer_name							)
            __SCREAMING_SNAKE_CASE   :Optional[int]						=  tokenizer.special_tokens_map['''cls_token''']  # `[CLS]`
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  tokenizer.special_tokens_map['''sep_token''']  # `[SEP]`
      elif args.tokenizer_type == "roberta":
            __SCREAMING_SNAKE_CASE   :str						=  RobertaTokenizer.from_pretrained(args.tokenizer_name							)
            __SCREAMING_SNAKE_CASE   :str						=  tokenizer.special_tokens_map['''cls_token''']  # `<s>`
            __SCREAMING_SNAKE_CASE   :str						=  tokenizer.special_tokens_map['''sep_token''']  # `</s>`
      elif args.tokenizer_type == "gpt2":
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  GPTaTokenizer.from_pretrained(args.tokenizer_name							)
            __SCREAMING_SNAKE_CASE   :Optional[int]						=  tokenizer.special_tokens_map['''bos_token''']  # `<|endoftext|>`
            __SCREAMING_SNAKE_CASE   :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:
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  fp.readlines()

      logger.info('''Start encoding'''							)
      logger.info(f'''{len(a_							)} examples to process.'''							)

      __SCREAMING_SNAKE_CASE   :Optional[int]						=  []
      __SCREAMING_SNAKE_CASE   :List[str]						=  0
      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  1_00_00
      __SCREAMING_SNAKE_CASE   :List[Any]						=  time.time()
      for text in data:
            __SCREAMING_SNAKE_CASE   :Any						=  f'''{bos} {text.strip()} {sep}'''
            __SCREAMING_SNAKE_CASE   :int						=  tokenizer.encode(a_ ,   add_special_tokens=a_							)
            rslt.append(a_							)

            iter += 1
            if iter % interval == 0:
                  __SCREAMING_SNAKE_CASE   :Any						=  time.time()
                  logger.info(f'''{iter} examples processed. - {(end-start):.2f}s/{interval}expl'''							)
                  __SCREAMING_SNAKE_CASE   :Any						=  time.time()
      logger.info('''Finished binarization'''							)
      logger.info(f'''{len(a_							)} examples processed.'''							)

      __SCREAMING_SNAKE_CASE   :Optional[int]						=  f'''{args.dump_file}.{args.tokenizer_name}.pickle'''
      __SCREAMING_SNAKE_CASE   :str						=  tokenizer.vocab_size
      if vocab_size < (1 << 16):
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  [np.uintaa(a_							) for d in rslt]
      else:
            __SCREAMING_SNAKE_CASE   :List[Any]						=  [np.intaa(a_							) for d in rslt]
      random.shuffle(rslt_							)
      logger.info(f'''Dump to {dp_file}'''							)
      with open(a_ ,   '''wb'''							) as handle:
            pickle.dump(rslt_ ,   a_ ,   protocol=pickle.HIGHEST_PROTOCOL							)


if __name__ == "__main__":
  main()