'''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
)
__UpperCAmelCase												=logging.getLogger(__name__)






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

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

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

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

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

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


if __name__ == "__main__":
  main()

'''simple docstring'''




def __lowerCAmelCase			(							UpperCamelCase__    )     ->   str:
    return "".join(chr(ord(UpperCamelCase__    ) - 32    ) if '''a''' <= char <= '''z''' else char for char in word    )


if __name__ == "__main__":
  from doctest import testmod

  testmod()
