





import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Union[str, Any]:




    """simple docstring"""




    if (
        (cp >= 0X4E_00 and cp <= 0X9F_FF)
        or (cp >= 0X34_00 and cp <= 0X4D_BF)  #
        or (cp >= 0X2_00_00 and cp <= 0X2_A6_DF)  #
        or (cp >= 0X2_A7_00 and cp <= 0X2_B7_3F)  #
        or (cp >= 0X2_B7_40 and cp <= 0X2_B8_1F)  #
        or (cp >= 0X2_B8_20 and cp <= 0X2_CE_AF)  #
        or (cp >= 0XF9_00 and cp <= 0XFA_FF)
        or (cp >= 0X2_F8_00 and cp <= 0X2_FA_1F)  #
    ):  #
        return True

    return False





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> int:




    """simple docstring"""




    for char in word:
        _A     =							ord(_SCREAMING_SNAKE_CASE				)
        if not _is_chinese_char(_SCREAMING_SNAKE_CASE				):
            return 0
    return 1





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Dict:




    """simple docstring"""




    _A     =							set()

    for token in tokens:
        _A     =							len(_SCREAMING_SNAKE_CASE				) > 1 and is_chinese(_SCREAMING_SNAKE_CASE				)
        if chinese_word:
            word_set.add(_SCREAMING_SNAKE_CASE				)
    _A     =							list(_SCREAMING_SNAKE_CASE				)
    return word_list





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> Tuple:




    """simple docstring"""




    if not chinese_word_set:
        return bert_tokens
    _A     =							max([len(_SCREAMING_SNAKE_CASE				) for w in chinese_word_set]				)

    _A     =							bert_tokens
    _A,			_A     =							0, len(_SCREAMING_SNAKE_CASE				)
    while start < end:
        _A     =							True
        if is_chinese(bert_word[start]				):
            _A     =							min(end - start							,     _SCREAMING_SNAKE_CASE				)
            for i in range(_SCREAMING_SNAKE_CASE							,     1							,     -1				):
                _A     =							''.join(bert_word[start : start + i]				)
                if whole_word in chinese_word_set:
                    for j in range(start + 1							,     start + i				):
                        _A     =							'##' + bert_word[j]
                    _A     =							start + i
                    _A     =							False
                    break
        if single_word:
            start += 1
    return bert_word





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> List[Any]:




    """simple docstring"""




    _A     =							[]

    for i in range(0							,     len(_SCREAMING_SNAKE_CASE				)							,     100				):
        _A     =							ltp_tokenizer.seg(lines[i : i + 100]				)[0]
        _A     =							[get_chinese_word(_SCREAMING_SNAKE_CASE				) for r in res]
        ltp_res.extend(_SCREAMING_SNAKE_CASE				)
    assert len(_SCREAMING_SNAKE_CASE				) == len(_SCREAMING_SNAKE_CASE				)

    _A     =							[]
    for i in range(0							,     len(_SCREAMING_SNAKE_CASE				)							,     100				):
        _A     =							bert_tokenizer(lines[i : i + 100]							,     add_special_tokens=_SCREAMING_SNAKE_CASE							,     truncation=_SCREAMING_SNAKE_CASE							,     max_length=512				)
        bert_res.extend(res['input_ids']				)
    assert len(_SCREAMING_SNAKE_CASE				) == len(_SCREAMING_SNAKE_CASE				)

    _A     =							[]
    for input_ids, chinese_word in zip(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				):
        _A     =							[]
        for id in input_ids:
            _A     =							bert_tokenizer._convert_id_to_token(_SCREAMING_SNAKE_CASE				)
            input_tokens.append(_SCREAMING_SNAKE_CASE				)
        _A     =							add_sub_symbol(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
        _A     =							[]
        # We only save pos of chinese subwords start with ##, which mean is part of a whole word.
        for i, token in enumerate(_SCREAMING_SNAKE_CASE				):
            if token[:2] == "##":
                _A     =							token[2:]
                # save chinese tokens' pos
                if len(_SCREAMING_SNAKE_CASE				) == 1 and _is_chinese_char(ord(_SCREAMING_SNAKE_CASE				)				):
                    ref_id.append(_SCREAMING_SNAKE_CASE				)
        ref_ids.append(_SCREAMING_SNAKE_CASE				)

    assert len(_SCREAMING_SNAKE_CASE				) == len(_SCREAMING_SNAKE_CASE				)

    return ref_ids





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> Union[str, Any]:




    """simple docstring"""




    with open(args.file_name							,     'r'							,     encoding='utf-8'				) as f:
        _A     =							f.readlines()
    _A     =							[line.strip() for line in data if len(_SCREAMING_SNAKE_CASE				) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
    _A     =							LTP(args.ltp				)  # faster in GPU device
    _A     =							BertTokenizer.from_pretrained(args.bert				)

    _A     =							prepare_ref(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)

    with open(args.save_path							,     'w'							,     encoding='utf-8'				) as f:
        _A     =							[json.dumps(_SCREAMING_SNAKE_CASE				) + '\n' for ref in ref_ids]
        f.writelines(_SCREAMING_SNAKE_CASE				)


if __name__ == "__main__":
 __A							:			Union[str, Any]         =			argparse.ArgumentParser(description="prepare_chinese_ref")
 parser.add_argument(
     "--file_name",
     type=str,
     default="./resources/chinese-demo.txt",
     help="file need process, same as training data in lm",
 )
 parser.add_argument(
     "--ltp", type=str, default="./resources/ltp", help="resources for LTP tokenizer, usually a path"
 )
 parser.add_argument("--bert", type=str, default="./resources/robert", help="resources for Bert tokenizer")
 parser.add_argument("--save_path", type=str, default="./resources/ref.txt", help="path to save res")

 __A							:			Union[str, Any]         =			parser.parse_args()
 main(args)












def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> int:




    """simple docstring"""




    return int((input_a, input_a).count(0				) != 0				)





def 				__lowerCAmelCase(       )							-> None:




    """simple docstring"""




    assert nand_gate(0							,     0				) == 1
    assert nand_gate(0							,     1				) == 1
    assert nand_gate(1							,     0				) == 1
    assert nand_gate(1							,     1				) == 0


if __name__ == "__main__":
 print(nand_gate(0, 0))
 print(nand_gate(0, 1))
 print(nand_gate(1, 0))
 print(nand_gate(1, 1))





