


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
)
A	:		Any    =       logging.getLogger(__name__)






def 			UpperCamelCase (     )       ->  Optional[Any]:
		"""simple docstring"""




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

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

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

		lowercase__					      =		[]
		lowercase__					      =		0
		lowercase__					      =		1_0000
		lowercase__					      =		time.time()
		for text in data:
				lowercase__					      =		f'''{bos} {text.strip()} {sep}'''
				lowercase__					      =		tokenizer.encode(__magic_name__   ,   add_special_tokens=__magic_name__					)
				rslt.append(__magic_name__					)

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

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


if __name__ == "__main__":
	main()





A	:		Union[str, Any]    =       [
    (1_0_0_0, 'M'),
    (9_0_0, 'CM'),
    (5_0_0, 'D'),
    (4_0_0, 'CD'),
    (1_0_0, 'C'),
    (9_0, 'XC'),
    (5_0, 'L'),
    (4_0, 'XL'),
    (1_0, 'X'),
    (9, 'IX'),
    (5, 'V'),
    (4, 'IV'),
    (1, 'I'),
]






def 			UpperCamelCase (     __magic_name__					:							str					)       ->  int:
		"""simple docstring"""




		lowercase__					      =		{"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1000}
		lowercase__					      =		0
		lowercase__					      =		0
		while place < len(__magic_name__					):
				if (place + 1 < len(__magic_name__					)) and (vals[roman[place]] < vals[roman[place + 1]]):
						total += vals[roman[place + 1]] - vals[roman[place]]
						place += 2
				else:
						total += vals[roman[place]]
						place += 1
		return total






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  str:
		"""simple docstring"""




		lowercase__					      =		[]
		for arabic, roman in ROMAN:
				((lowercase__)      ,     (lowercase__))					      =		divmod(__magic_name__   ,   __magic_name__					)
				result.append(roman * factor					)
				if number == 0:
						break
		return "".join(__magic_name__					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

