



import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer




def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  Optional[int]:



    """simple docstring"""






    if (
        (cp >= 0X4e00 and cp <= 0X9fff)
        or (cp >= 0X3400 and cp <= 0X4dbf)  #
        or (cp >= 0X2_0000 and cp <= 0X2_a6df)  #
        or (cp >= 0X2_a700 and cp <= 0X2_b73f)  #
        or (cp >= 0X2_b740 and cp <= 0X2_b81f)  #
        or (cp >= 0X2_b820 and cp <= 0X2_ceaf)  #
        or (cp >= 0Xf900 and cp <= 0Xfaff)
        or (cp >= 0X2_f800 and cp <= 0X2_fa1f)  #
    ):  #
        return True

    return False




def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  Optional[int]:



    """simple docstring"""






    for char in word:
        A :       Dict          =   ord(_lowerCAmelCase		)
        if not _is_chinese_char(_lowerCAmelCase		):
            return 0
    return 1




def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  Any:



    """simple docstring"""






    A :       List[str]          =   set()

    for token in tokens:
        A :       List[Any]          =   len(_lowerCAmelCase		) > 1 and is_chinese(_lowerCAmelCase		)
        if chinese_word:
            word_set.add(_lowerCAmelCase		)
    A :       Any          =   list(_lowerCAmelCase		)
    return word_list




def 	__UpperCamelCase	(  _lowerCAmelCase      ,     _lowerCAmelCase		)       ->  Optional[int]:



    """simple docstring"""






    if not chinese_word_set:
        return bert_tokens
    A :       Any          =   max([len(_lowerCAmelCase		) for w in chinese_word_set]		)

    A :       str          =   bert_tokens
    A     ,							A :       Tuple          =   0, len(_lowerCAmelCase		)
    while start < end:
        A :       Union[str, Any]          =   True
        if is_chinese(bert_word[start]		):
            A :       List[Any]          =   min(end - start      ,     _lowerCAmelCase		)
            for i in range(_lowerCAmelCase      ,     1      ,     -1		):
                A :       Tuple          =   """""".join(bert_word[start : start + i]		)
                if whole_word in chinese_word_set:
                    for j in range(start + 1      ,     start + i		):
                        A :       str          =   """##""" + bert_word[j]
                    A :       Union[str, Any]          =   start + i
                    A :       Optional[int]          =   False
                    break
        if single_word:
            start += 1
    return bert_word




def 	__UpperCamelCase	(  _lowerCAmelCase      ,     _lowerCAmelCase      ,     _lowerCAmelCase		)       ->  str:



    """simple docstring"""






    A :       List[str]          =   []

    for i in range(0      ,     len(_lowerCAmelCase		)      ,     100		):
        A :       Optional[Any]          =   ltp_tokenizer.pipeline(lines[i : i + 100]      ,     tasks=["""cws"""]		).cws
        A :       int          =   [get_chinese_word(_lowerCAmelCase		) for r in res]
        ltp_res.extend(_lowerCAmelCase		)
    assert len(_lowerCAmelCase		) == len(_lowerCAmelCase		)

    A :       Union[str, Any]          =   []
    for i in range(0      ,     len(_lowerCAmelCase		)      ,     100		):
        A :       Union[str, Any]          =   bert_tokenizer(lines[i : i + 100]      ,     add_special_tokens=_lowerCAmelCase      ,     truncation=_lowerCAmelCase      ,     max_length=512		)
        bert_res.extend(res["""input_ids"""]		)
    assert len(_lowerCAmelCase		) == len(_lowerCAmelCase		)

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

    assert len(_lowerCAmelCase		) == len(_lowerCAmelCase		)

    return ref_ids




def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  Tuple:



    """simple docstring"""






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

    A :       Tuple          =   prepare_ref(_lowerCAmelCase      ,     _lowerCAmelCase      ,     _lowerCAmelCase		)

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


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

     SCREAMING_SNAKE_CASE_:List[Any]             =						parser.parse_args()
     main(args)







from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_:List[Any]             =						TypeVar("""KEY""")
SCREAMING_SNAKE_CASE_:Dict             =						TypeVar("""VAL""")






@dataclass(frozen=SCREAMING_SNAKE_CASE__ ,						slots=SCREAMING_SNAKE_CASE__    )
class SCREAMING_SNAKE_CASE__     (		Generic[KEY, VAL]    ):




    '''simple docstring'''






    __lowerCamelCase			: KEY
    __lowerCamelCase			: VAL






class SCREAMING_SNAKE_CASE__     (		_Item    ):




    '''simple docstring'''






    def __init__(       self		):
        super().__init__(lowerCamelCase__,		lowerCamelCase__		)






    def __bool__(       self		):
        return False


SCREAMING_SNAKE_CASE_:Optional[Any]             =						_DeletedItem()






class SCREAMING_SNAKE_CASE__     (		MutableMapping[KEY, VAL]    ):




    '''simple docstring'''






    def __init__(       self,		lowerCamelCase__ = 8,		lowerCamelCase__ = 0.75		):
        A :       List[str]          =   initial_block_size
        A :       list[_Item | None]          =   [None] * initial_block_size
        assert 0.0 < capacity_factor < 1.0
        A :       Dict          =   capacity_factor
        A :       Optional[Any]          =   0






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__		):
        return hash(lowerCamelCase__		) % len(self._buckets		)






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__		):
        return (ind + 1) % len(self._buckets		)






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__,		lowerCamelCase__,		lowerCamelCase__		):
        A :       List[Any]          =   self._buckets[ind]
        if not stored:
            A :       Optional[int]          =   _Item(lowerCamelCase__,		lowerCamelCase__		)
            self._len += 1
            return True
        elif stored.key == key:
            A :       int          =   _Item(lowerCamelCase__,		lowerCamelCase__		)
            return True
        else:
            return False






    def 			_lowerCAmelCase					(       self		):
        A :       Union[str, Any]          =   len(self._buckets		) * self._capacity_factor
        return len(self		) >= int(lowerCamelCase__		)






    def 			_lowerCAmelCase					(       self		):
        if len(self._buckets		) <= self._initial_block_size:
            return False
        A :       Optional[Any]          =   len(self._buckets		) * self._capacity_factor / 2
        return len(self		) < limit






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__		):
        A :       Dict          =   self._buckets
        A :       Optional[Any]          =   [None] * new_size
        A :       List[str]          =   0
        for item in old_buckets:
            if item:
                self._add_item(item.key,		item.val		)






    def 			_lowerCAmelCase					(       self		):
        self._resize(len(self._buckets		) * 2		)






    def 			_lowerCAmelCase					(       self		):
        self._resize(len(self._buckets		) // 2		)






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__		):
        A :       Union[str, Any]          =   self._get_bucket_index(lowerCamelCase__		)
        for _ in range(len(self._buckets		)		):
            yield ind
            A :       Dict          =   self._get_next_ind(lowerCamelCase__		)






    def 			_lowerCAmelCase					(       self,		lowerCamelCase__,		lowerCamelCase__		):
        for ind in self._iterate_buckets(lowerCamelCase__		):
            if self._try_set(lowerCamelCase__,		lowerCamelCase__,		lowerCamelCase__		):
                break






    def __setitem__(       self,		lowerCamelCase__,		lowerCamelCase__		):
        if self._is_full():
            self._size_up()

        self._add_item(lowerCamelCase__,		lowerCamelCase__		)






    def __delitem__(       self,		lowerCamelCase__		):
        for ind in self._iterate_buckets(lowerCamelCase__		):
            A :       Tuple          =   self._buckets[ind]
            if item is None:
                raise KeyError(lowerCamelCase__		)
            if item is _deleted:
                continue
            if item.key == key:
                A :       int          =   _deleted
                self._len -= 1
                break
        if self._is_sparse():
            self._size_down()






    def __getitem__(       self,		lowerCamelCase__		):
        for ind in self._iterate_buckets(lowerCamelCase__		):
            A :       int          =   self._buckets[ind]
            if item is None:
                break
            if item is _deleted:
                continue
            if item.key == key:
                return item.val
        raise KeyError(lowerCamelCase__		)






    def __len__(       self		):
        return self._len






    def __iter__(       self		):
        yield from (item.key for item in self._buckets if item)






    def __repr__(       self		):
        A :       Union[str, Any]          =   """ ,""".join(
            f'''{item.key}: {item.val}''' for item in self._buckets if item		)
        return f'''HashMap({val_string})'''


