


import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer
def     __lowerCamelCase						(			UpperCAmelCase_						:		str						):




      """simple docstring"""





      if (
          (cp >= 0x4_E00 and cp <= 0x9_FFF)
          or (cp >= 0x3_400 and cp <= 0x4_DBF)  #
          or (cp >= 0x20_000 and cp <= 0x2A_6DF)  #
          or (cp >= 0x2A_700 and cp <= 0x2B_73F)  #
          or (cp >= 0x2B_740 and cp <= 0x2B_81F)  #
          or (cp >= 0x2B_820 and cp <= 0x2C_EAF)  #
          or (cp >= 0xF_900 and cp <= 0xF_AFF)
          or (cp >= 0x2F_800 and cp <= 0x2F_A1F)  #
      ):  #
            return True

      return False
def     __lowerCamelCase						(			UpperCAmelCase_						:		str						):




      """simple docstring"""





      for char in word:
            a						:str										=	ord(lowerCAmelCase__						)
            if not _is_chinese_char(lowerCAmelCase__						):
                  return 0
      return 1
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]						):




      """simple docstring"""





      a						:str										=	set()

      for token in tokens:
            a						:str										=	len(lowerCAmelCase__						) > 1 and is_chinese(lowerCAmelCase__						)
            if chinese_word:
                  word_set.add(lowerCAmelCase__						)
      a						:Union[str, Any]										=	list(lowerCAmelCase__						)
      return word_list
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]			,  UpperCAmelCase_						:		set()						):




      """simple docstring"""





      if not chinese_word_set:
            return bert_tokens
      a						:str										=	max([len(lowerCAmelCase__						) for w in chinese_word_set]						)

      a						:List[Any]										=	bert_tokens
      a						:str										=	0, len(lowerCAmelCase__						)
      while start < end:
            a						:Optional[int]										=	True
            if is_chinese(bert_word[start]						):
                  a						:str										=	min(end - start			,  lowerCAmelCase__						)
                  for i in range(lowerCAmelCase__			,  1			,  -1						):
                        a						:Optional[int]										=	''''''.join(bert_word[start : start + i]						)
                        if whole_word in chinese_word_set:
                              for j in range(start + 1			,  start + i						):
                                    a						:List[str]										=	'''##''' + bert_word[j]
                              a						:Union[str, Any]										=	start + i
                              a						:Tuple										=	False
                              break
            if single_word:
                  start += 1
      return bert_word
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]			,  UpperCAmelCase_						:		LTP			,  UpperCAmelCase_						:		BertTokenizer						):




      """simple docstring"""





      a						:Tuple										=	[]

      for i in range(0			,  len(lowerCAmelCase__						)			,  100						):
            a						:Optional[int]										=	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						:int										=	[]
      for i in range(0			,  len(lowerCAmelCase__						)			,  100						):
            a						:List[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						:str										=	[]
      for input_ids, chinese_word in zip(lowerCAmelCase__			,  lowerCAmelCase__						):
            a						:Optional[int]										=	[]
            for id in input_ids:
                  a						:Optional[int]										=	bert_tokenizer._convert_id_to_token(lowerCAmelCase__						)
                  input_tokens.append(lowerCAmelCase__						)
            a						:Optional[int]										=	add_sub_symbol(lowerCAmelCase__			,  lowerCAmelCase__						)
            a						: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(lowerCAmelCase__						):
                  if token[:2] == "##":
                        a						:Optional[Any]										=	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     __lowerCamelCase						(			UpperCAmelCase_						:		Dict						):




      """simple docstring"""





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

      a						:Optional[Any]										=	prepare_ref(lowerCAmelCase__			,  lowerCAmelCase__			,  lowerCAmelCase__						)

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


if __name__ == "__main__":
     snake_case    :   List[Any]	    =					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''',
     )

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









import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case    :   Any	    =					pytest.mark.integration
@pytest.mark.parametrize('''path'''			,  ['''paws''', '''csv''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Optional[Any]						):




      """simple docstring"""





      inspect_dataset(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:List[Any]										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''						)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''						)
@pytest.mark.parametrize('''path'''			,  ['''accuracy''']						)
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		Any						):




      """simple docstring"""





      inspect_metric(UpperCAmelCase_			,  UpperCAmelCase_						)
      a						:Dict										=	path + '''.py'''
      assert script_name in os.listdir(UpperCAmelCase_						)
      assert "__pycache__" not in os.listdir(UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
      assert info.config_name == config_name
      assert list(info.splits.keys()						) == expected_splits
@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[Any]			,  UpperCAmelCase_						:		str			,  UpperCAmelCase_						:		Tuple						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_config_info(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)
@pytest.mark.parametrize(
    '''path, expected'''			,  [
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		int						):




      """simple docstring"""





      a						:List[str]										=	get_dataset_config_names(UpperCAmelCase_						)
      assert expected in config_names
@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''			,  [
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Tuple			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Optional[int]										=	get_dataset_infos(UpperCAmelCase_						)
      assert list(infos.keys()						) == expected_configs
      a						:Union[str, Any]										=	expected_configs[0]
      assert expected_config in infos
      a						:List[Any]										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits_in_first_config
@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''			,  [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		Any			,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      a						:Union[str, Any]										=	get_dataset_infos(UpperCAmelCase_						)
      assert expected_config in infos
      a						:int										=	infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()						) == expected_splits






@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''			,  [
        ('''paws''', None, ValueError),
    ]			,  )
def     __lowerCamelCase						(			UpperCAmelCase_						:		Union[str, Any]			,  UpperCAmelCase_						:		Optional[int]			,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      with pytest.raises(UpperCAmelCase_						):
            get_dataset_split_names(UpperCAmelCase_			,  config_name=UpperCAmelCase_						)





