



'''simple docstring'''





import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer




def        lowerCamelCase  (				_snake_case  :						str       ):





    '''simple docstring'''


    if (
        (cp >= 0x4E00 and cp <= 0x9FFF)
        or (cp >= 0x3400 and cp <= 0x4DBF)  #
        or (cp >= 0x20000 and cp <= 0x2A6DF)  #
        or (cp >= 0x2A700 and cp <= 0x2B73F)  #
        or (cp >= 0x2B740 and cp <= 0x2B81F)  #
        or (cp >= 0x2B820 and cp <= 0x2CEAF)  #
        or (cp >= 0xF900 and cp <= 0xFAFF)
        or (cp >= 0x2F800 and cp <= 0x2FA1F)  #
    ):  #
        return True

    return False




def        lowerCamelCase  (				_snake_case  :						str       ):





    '''simple docstring'''


    for char in word:
        lowercase__		       =						ord(_snake_case       )
        if not _is_chinese_char(_snake_case       ):
            return 0
    return 1




def        lowerCamelCase  (				_snake_case  :						List[str]       ):





    '''simple docstring'''


    lowercase__		       =						set()

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




def        lowerCamelCase  (				_snake_case  :						List[str]     ,_snake_case  :						set()       ):





    '''simple docstring'''


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

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




def        lowerCamelCase  (				_snake_case  :						List[str]     ,_snake_case  :						LTP     ,_snake_case  :						BertTokenizer       ):





    '''simple docstring'''


    lowercase__		       =						[]

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

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

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

    assert len(_snake_case       ) == len(_snake_case       )

    return ref_ids




def        lowerCamelCase  (				_snake_case  :						int       ):





    '''simple docstring'''


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

    lowercase__		       =						prepare_ref(_snake_case     ,_snake_case     ,_snake_case       )

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


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE__      					=     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")

 SCREAMING_SNAKE_CASE__      					=     parser.parse_args()
 main(args)









'''simple docstring'''





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


class 				snake_case (unittest.TestCase		,      UpperCamelCase   ):



       def 							_a      (				self      )  ->							List[str]:
           lowercase__		       =						load_tool("text-classification"      )
           self.tool.setup()
           lowercase__		       =						load_tool("text-classification"     ,remote=UpperCAmelCase_      )



       def 							_a      (				self      )  ->							Any:
           lowercase__		       =						self.tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							Optional[int]:
           lowercase__		       =						self.remote_tool("That's quite cool"     ,["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )



       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )







       def 							_a      (				self      )  ->							List[Any]:
           lowercase__		       =						self.remote_tool(text="That's quite cool"     ,labels=["positive", "negative"]      )
           self.assertEqual(UpperCAmelCase_     ,"positive"      )




