

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 			UpperCAmelCase__				(			):





  '''simple docstring'''







  a__  =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.'''							)
  a__  =parser.parse_args()

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

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

  a__  =[]
  a__  =0
  a__  =1_00_00
  a__  =time.time()
  for text in data:
    a__  =F"""{bos} {text.strip()} {sep}"""
    a__  =tokenizer.encode(_A	,      add_special_tokens=_A							)
    rslt.append(_A							)

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

  a__  =F"""{args.dump_file}.{args.tokenizer_name}.pickle"""
  a__  =tokenizer.vocab_size
  if vocab_size < (1 << 16):
    a__  =[np.uintaa(_A							) for d in rslt]
  else:
    a__  =[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()



from __future__ import annotations




def 			UpperCAmelCase__				(			_A      : float	,      _A      : float	,      _A      : float	,      ):





  '''simple docstring'''







  if (stress, tangential_force, area).count(0							) != 1:
    raise ValueError('''You cannot supply more or less than 2 values'''							)
  elif stress < 0:
    raise ValueError('''Stress cannot be negative'''							)
  elif tangential_force < 0:
    raise ValueError('''Tangential Force cannot be negative'''							)
  elif area < 0:
    raise ValueError('''Area cannot be negative'''							)
  elif stress == 0:
    return (
        "stress",
        tangential_force / area,
    )
  elif tangential_force == 0:
    return (
        "tangential_force",
        stress * area,
    )
  else:
    return (
        "area",
        tangential_force / stress,
    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
