
"""simple docstring"""

import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer




def     lowercase__						(					lowerCAmelCase				:					int ) ->      List[Any]:






    """simple docstring"""




    if (
        (cp >= 0x4_E_0_0 and cp <= 0x9_F_F_F)
        or (cp >= 0x3_4_0_0 and cp <= 0x4_D_B_F)  #
        or (cp >= 0x2_0_0_0_0 and cp <= 0x2_A_6_D_F)  #
        or (cp >= 0x2_A_7_0_0 and cp <= 0x2_B_7_3_F)  #
        or (cp >= 0x2_B_7_4_0 and cp <= 0x2_B_8_1_F)  #
        or (cp >= 0x2_B_8_2_0 and cp <= 0x2_C_E_A_F)  #
        or (cp >= 0xF_9_0_0 and cp <= 0xF_A_F_F)
        or (cp >= 0x2_F_8_0_0 and cp <= 0x2_F_A_1_F)  #
    ):  #
        return True

    return False




def     lowercase__						(					lowerCAmelCase				:					str ) ->      Dict:






    """simple docstring"""




    for char in word:
        UpperCAmelCase									=					ord(lowerCAmelCase )
        if not _is_chinese_char(lowerCAmelCase ):
            return 0
    return 1




def     lowercase__						(					lowerCAmelCase				:					List[str] ) ->      List[str]:






    """simple docstring"""




    UpperCAmelCase									=					set()

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




def     lowercase__						(					lowerCAmelCase				:					List[str] ,				lowerCAmelCase				:					set() ) ->      int:






    """simple docstring"""




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

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




def     lowercase__						(					lowerCAmelCase				:					List[str] ,				lowerCAmelCase				:					LTP ,				lowerCAmelCase				:					BertTokenizer ) ->      Optional[int]:






    """simple docstring"""




    UpperCAmelCase									=					[]

    for i in range(0 ,				len(lowerCAmelCase ) ,				100 ):
        UpperCAmelCase									=					ltp_tokenizer.pipeline(lines[i : i + 100] ,				tasks=['cws'] ).cws
        UpperCAmelCase									=					[get_chinese_word(lowerCAmelCase ) for r in res]
        ltp_res.extend(lowerCAmelCase )
    assert len(lowerCAmelCase ) == len(lowerCAmelCase )

    UpperCAmelCase									=					[]
    for i in range(0 ,				len(lowerCAmelCase ) ,				100 ):
        UpperCAmelCase									=					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 )

    UpperCAmelCase									=					[]
    for input_ids, chinese_word in zip(lowerCAmelCase ,				lowerCAmelCase ):
        UpperCAmelCase									=					[]
        for id in input_ids:
            UpperCAmelCase									=					bert_tokenizer._convert_id_to_token(lowerCAmelCase )
            input_tokens.append(lowerCAmelCase )
        UpperCAmelCase									=					add_sub_symbol(lowerCAmelCase ,				lowerCAmelCase )
        UpperCAmelCase									=					[]
        # 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] == "##":
                UpperCAmelCase									=					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     lowercase__						(					lowerCAmelCase				:					Optional[Any] ) ->      Optional[Any]:






    """simple docstring"""




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

    UpperCAmelCase									=					prepare_ref(lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase )

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


if __name__ == "__main__":
   SCREAMING_SNAKE_CASE_    					=						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_    					=						parser.parse_args()
   main(args)





"""simple docstring"""

def     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




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




def     lowercase__						(					) ->      None:






    """simple docstring"""




    assert and_gate(0 ,				0 ) == 0
    assert and_gate(0 ,				1 ) == 0
    assert and_gate(1 ,				0 ) == 0
    assert and_gate(1 ,				1 ) == 1


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



