




import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer






def  snake_case(    __magic_name__   )			->							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  snake_case(    __magic_name__   )			->							Union[str, Any]:





     '''simple docstring'''


     for char in word:
          lowercase :       Optional[int]       =			ord(__magic_name__   )
          if not _is_chinese_char(__magic_name__   ):
               return 0
     return 1






def  snake_case(    __magic_name__   )			->							Optional[Any]:





     '''simple docstring'''


     lowercase :       Tuple       =			set()

     for token in tokens:
          lowercase :       str       =			len(__magic_name__   ) > 1 and is_chinese(__magic_name__   )
          if chinese_word:
               word_set.add(__magic_name__   )
     lowercase :       Tuple       =			list(__magic_name__   )
     return word_list






def  snake_case(    __magic_name__			,		__magic_name__   )			->							str:





     '''simple docstring'''


     if not chinese_word_set:
          return bert_tokens
     lowercase :       Optional[int]       =			max([len(__magic_name__   ) for w in chinese_word_set]   )

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






def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__   )			->							Any:





     '''simple docstring'''


     lowercase :       Optional[int]       =			[]

     for i in range(0			,		len(__magic_name__   )			,		1_00   ):
          lowercase :       Optional[Any]       =			ltp_tokenizer.pipeline(lines[i : i + 1_00]			,		tasks=['''cws''']   ).cws
          lowercase :       Any       =			[get_chinese_word(__magic_name__   ) for r in res]
          ltp_res.extend(__magic_name__   )
     assert len(__magic_name__   ) == len(__magic_name__   )

     lowercase :       Dict       =			[]
     for i in range(0			,		len(__magic_name__   )			,		1_00   ):
          lowercase :       Optional[Any]       =			bert_tokenizer(lines[i : i + 1_00]			,		add_special_tokens=__magic_name__			,		truncation=__magic_name__			,		max_length=5_12   )
          bert_res.extend(res['''input_ids''']   )
     assert len(__magic_name__   ) == len(__magic_name__   )

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

     assert len(__magic_name__   ) == len(__magic_name__   )

     return ref_ids






def  snake_case(    __magic_name__   )			->							Union[str, Any]:





     '''simple docstring'''


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

     lowercase :       Optional[int]       =			prepare_ref(__magic_name__			,		__magic_name__			,		__magic_name__   )

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


if __name__ == "__main__":
 lowerCAmelCase_						=			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',
 )

 lowerCAmelCase_						=			parser.parse_args()
 main(args)





import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


lowerCAmelCase_						=			'\\n    Text data.\n    Second line of data.'

lowerCAmelCase_						=			'file'






@pytest.fixture(scope='''session'''   )
def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Any       =			tmp_path_factory.mktemp('''data'''   ) / (FILE_PATH + '''.zstd''')
     lowercase :       List[Any]       =			bytes(__magic_name__			,		'''utf-8'''   )
     with zstd.open(__magic_name__			,		'''wb'''   ) as f:
          f.write(__magic_name__   )
     return path






@pytest.fixture
def  snake_case(    __magic_name__   )			->							List[Any]:





     '''simple docstring'''


     with open(os.path.join(tmpfs.local_root_dir			,		__magic_name__   )			,		'''w'''   ) as f:
          f.write(__magic_name__   )
     return FILE_PATH






@pytest.mark.parametrize('''compression_format'''			,		['''gzip''', '''xz''', '''zstd''']   )
def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Optional[int]       =			{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
     lowercase :       int       =			input_paths[compression_format]
     lowercase :       Any       =			tmp_path / '''cache'''
     lowercase :       int       =			DownloadConfig(cache_dir=__magic_name__			,		extract_compressed_file=__magic_name__   )
     lowercase :       Optional[Any]       =			cached_path(__magic_name__			,		download_config=__magic_name__   )
     with open(__magic_name__   ) as f:
          lowercase :       Optional[int]       =			f.read()
     with open(__magic_name__   ) as f:
          lowercase :       str       =			f.read()
     assert extracted_file_content == expected_file_content






@pytest.mark.parametrize('''default_extracted'''			,		[True, False]   )
@pytest.mark.parametrize('''default_cache_dir'''			,		[True, False]   )
def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Dict       =			'''custom_cache'''
     lowercase :       Union[str, Any]       =			'''custom_extracted_dir'''
     lowercase :       str       =			tmp_path / '''custom_extracted_path'''
     if default_extracted:
          lowercase :       Tuple       =			('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
     else:
          monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''			,		__magic_name__   )
          monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''			,		str(__magic_name__   )   )
          lowercase :       int       =			custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

     lowercase :       List[str]       =			xz_file
     lowercase :       Any       =			(
         DownloadConfig(extract_compressed_file=__magic_name__   )
         if default_cache_dir
         else DownloadConfig(cache_dir=tmp_path / custom_cache_dir			,		extract_compressed_file=__magic_name__   )
     )
     lowercase :       Optional[int]       =			cached_path(__magic_name__			,		download_config=__magic_name__   )
     assert Path(__magic_name__   ).parent.parts[-2:] == expected






def  snake_case(    __magic_name__   )			->							List[Any]:





     '''simple docstring'''


     lowercase :       Any       =			str(Path(__magic_name__   ).resolve()   )
     assert cached_path(__magic_name__   ) == text_file
     # relative path
     lowercase :       Union[str, Any]       =			str(Path(__magic_name__   ).resolve().relative_to(Path(os.getcwd()   )   )   )
     assert cached_path(__magic_name__   ) == text_file






def  snake_case(    __magic_name__   )			->							Union[str, Any]:





     '''simple docstring'''


     lowercase :       List[Any]       =			str(tmp_path.resolve() / '''__missing_file__.txt'''   )
     with pytest.raises(__magic_name__   ):
          cached_path(__magic_name__   )
     # relative path
     lowercase :       Optional[int]       =			'''./__missing_file__.txt'''
     with pytest.raises(__magic_name__   ):
          cached_path(__magic_name__   )






def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       List[str]       =			get_from_cache(F"""tmp://{tmpfs_file}"""   )
     with open(__magic_name__   ) as f:
          lowercase :       List[Any]       =			f.read()
     assert output_file_content == FILE_CONTENT






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    )			->							List[Any]:





     '''simple docstring'''


     with pytest.raises(__magic_name__   ):
          cached_path('''https://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							Tuple:





     '''simple docstring'''


     lowercase :       Any       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          http_get('''https://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          http_head('''https://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							Optional[Any]:





     '''simple docstring'''


     lowercase :       Optional[Any]       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          ftp_get('''ftp://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          ftp_head('''ftp://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       str       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          fsspec_get('''s3://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          fsspec_head('''s3://huggingface.co'''   )