





'''simple docstring'''


import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str ):
   # This defines a "chinese character" as anything in the CJK Unicode block:
   #   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
   #
   # Note that the CJK Unicode block is NOT all Japanese and Korean characters,
   # despite its name. The modern Korean Hangul alphabet is a different block,
   # as is Japanese Hiragana and Katakana. Those alphabets are used to write
   # space-separated words, so they are not treated specially and handled
   # like the all of the other languages.
   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					:					str ):
   # word like '180' or '身高' or '神'
   for char in word:
      lowercase_			:Tuple    			= ord(__lowerCamelCase )
      if not _is_chinese_char(__lowerCamelCase ):
         return 0
   return 1
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[str] ):
   lowercase_			:int    			= set()

   for token in tokens:
      lowercase_			:Optional[int]    			= len(__lowerCamelCase ) > 1 and is_chinese(__lowerCamelCase )
      if chinese_word:
         word_set.add(__lowerCamelCase )
   lowercase_			:List[Any]    			= list(__lowerCamelCase )
   return word_list
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[str]	,__lowerCamelCase					:					set() ):
   if not chinese_word_set:
      return bert_tokens
   lowercase_			:Tuple    			= max([len(__lowerCamelCase ) for w in chinese_word_set] )

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

   for i in range(0	,len(__lowerCamelCase )	,1_00 ):
      lowercase_			:Dict    			= ltp_tokenizer.seg(lines[i : i + 1_00] )[0]
      lowercase_			:Tuple    			= [get_chinese_word(__lowerCamelCase ) for r in res]
      ltp_res.extend(__lowerCamelCase )
   assert len(__lowerCamelCase ) == len(__lowerCamelCase )

   lowercase_			:Tuple    			= []
   for i in range(0	,len(__lowerCamelCase )	,1_00 ):
      lowercase_			:int    			= bert_tokenizer(lines[i : i + 1_00]	,add_special_tokens=__lowerCamelCase	,truncation=__lowerCamelCase	,max_length=5_12 )
      bert_res.extend(res["input_ids"] )
   assert len(__lowerCamelCase ) == len(__lowerCamelCase )

   lowercase_			:str    			= []
   for input_ids, chinese_word in zip(__lowerCamelCase	,__lowerCamelCase ):
      lowercase_			:Dict    			= []
      for id in input_ids:
         lowercase_			:Union[str, Any]    			= bert_tokenizer._convert_id_to_token(__lowerCamelCase )
         input_tokens.append(__lowerCamelCase )
      lowercase_			:List[str]    			= add_sub_symbol(__lowerCamelCase	,__lowerCamelCase )
      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(__lowerCamelCase ):
         if token[:2] == "##":
            lowercase_			:List[str]    			= 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					:					Optional[Any] ):
   # For Chinese (Ro)Bert, the best result is from : RoBERTa-wwm-ext (https://github.com/ymcui/Chinese-BERT-wwm)
   # If we want to fine-tune these model, we have to use same tokenizer : LTP (https://github.com/HIT-SCIR/ltp)
   with open(args.file_name	,"r"	,encoding="utf-8" ) as f:
      lowercase_			:Optional[int]    			= f.readlines()
   lowercase_			:str    			= [line.strip() for line in data if len(__lowerCamelCase ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
   lowercase_			:int    			= LTP(args.ltp )  # faster in GPU device
   lowercase_			:Tuple    			= BertTokenizer.from_pretrained(args.bert )

   lowercase_			:str    			= prepare_ref(__lowerCamelCase	,__lowerCamelCase	,__lowerCamelCase )

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


if __name__ == "__main__":
 lowerCAmelCase					:     List[str]												=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''')

 lowerCAmelCase					:     Any												=parser.parse_args()
 main(args)









'''simple docstring'''


import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class       a_   (				_lowerCAmelCase	,						unittest.TestCase							):
     __A      =			RobertaTokenizer
     __A      =			RobertaTokenizerFast
     __A      =			True
     __A      =			{"cls_token": "<s>"}





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase_			:List[Any]    			= [
            "l",
            "o",
            "w",
            "e",
            "r",
            "s",
            "t",
            "i",
            "d",
            "n",
            "\u0120",
            "\u0120l",
            "\u0120n",
            "\u0120lo",
            "\u0120low",
            "er",
            "\u0120lowest",
            "\u0120newer",
            "\u0120wider",
            "<unk>",
        ]
        lowercase_			:List[Any]    			= dict(zip(lowercase	,      range(len(lowercase						)						)						)						)
        lowercase_			:Optional[Any]    			= ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
        lowercase_			:Union[str, Any]    			= {"unk_token": "<unk>"}

        lowercase_			:Tuple    			= os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["vocab_file"]						)
        lowercase_			:Union[str, Any]    			= os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["merges_file"]						)
        with open(self.vocab_file	,      "w"	,      encoding="utf-8"						) as fp:
           fp.write(json.dumps(lowercase						) + "\n"						)
        with open(self.merges_file	,      "w"	,      encoding="utf-8"						) as fp:
           fp.write("\n".join(lowercase						)						)





     def 							lowercase__      ( self		:					str	,      **lowercase		:					List[str]						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return self.tokenizer_class.from_pretrained(self.tmpdirname	,      **lowercase						)





     def 							lowercase__      ( self		:					int	,      **lowercase		:					int						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname	,      **lowercase						)





     def 							lowercase__      ( self		:					Optional[int]	,      lowercase		:					List[Any]						):





        """simple docstring"""




        lowercase_			:List[str]    			= "lower newer"
        lowercase_			:Any    			= "lower newer"
        return input_text, output_text





     def 							lowercase__      ( self		:					int						):





        """simple docstring"""




        lowercase_			:List[Any]    			= self.tokenizer_class(self.vocab_file	,      self.merges_file	,      **self.special_tokens_map						)
        lowercase_			:Dict    			= "lower newer"
        lowercase_			:Dict    			= ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
        lowercase_			:int    			= tokenizer.tokenize(lowercase						)  # , add_prefix_space=True)
        self.assertListEqual(lowercase	,      lowercase						)

        lowercase_			:Optional[Any]    			= tokens + [tokenizer.unk_token]
        lowercase_			:Any    			= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase						)	,      lowercase						)





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        lowercase_			:Dict    			= self.get_tokenizer()

        self.assertListEqual(tokenizer.encode("Hello world!"	,      add_special_tokens=lowercase						)	,      [0, 31_414, 232, 328, 2]						)
        self.assertListEqual(
            tokenizer.encode("Hello world! cécé herlolip 418"	,      add_special_tokens=lowercase						)	,      [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]	,      )





     @slow
     def 							lowercase__      ( self		:					List[str]						):





        """simple docstring"""




        lowercase_			:Optional[Any]    			= self.tokenizer_class.from_pretrained("roberta-base"						)

        lowercase_			:Any    			= tokenizer.encode("sequence builders"	,      add_special_tokens=lowercase						)
        lowercase_			:str    			= tokenizer.encode("multi-sequence build"	,      add_special_tokens=lowercase						)

        lowercase_			:int    			= tokenizer.encode(
            "sequence builders"	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.encode(
            "sequence builders"	,      "multi-sequence build"	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)

        lowercase_			:str    			= tokenizer.build_inputs_with_special_tokens(lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.build_inputs_with_special_tokens(lowercase	,      lowercase						)

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode





     def 							lowercase__      ( self		:					Optional[int]						):





        """simple docstring"""




        lowercase_			:Optional[int]    			= self.get_tokenizer()

        lowercase_			:str    			= "Encode this sequence."
        lowercase_			:Tuple    			= tokenizer.byte_encoder[" ".encode("utf-8"						)[0]]

        # Testing encoder arguments
        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:List[Any]    			= tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)

        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase	,      add_prefix_space=lowercase						)
        lowercase_			:List[Any]    			= tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
        self.assertEqual(lowercase	,      lowercase						)

        tokenizer.add_special_tokens({"bos_token": "<s>"}						)
        lowercase_			:List[str]    			= tokenizer.encode(lowercase	,      add_special_tokens=lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.convert_ids_to_tokens(encoded[1]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)

        # Testing spaces after special tokens
        lowercase_			:Union[str, Any]    			= "<mask>"
        tokenizer.add_special_tokens(
            {"mask_token": AddedToken(lowercase	,      lstrip=lowercase	,      rstrip=lowercase						)}						)  # mask token has a left space
        lowercase_			:Any    			= tokenizer.convert_tokens_to_ids(lowercase						)

        lowercase_			:Tuple    			= "Encode <mask> sequence"
        lowercase_			:int    			= "Encode <mask>sequence"

        lowercase_			:str    			= tokenizer.encode(lowercase						)
        lowercase_			:Any    			= encoded.index(lowercase						)
        lowercase_			:Dict    			= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
        self.assertEqual(lowercase	,      lowercase						)

        lowercase_			:str    			= tokenizer.encode(lowercase						)
        lowercase_			:int    			= encoded.index(lowercase						)
        lowercase_			:Optional[int]    			= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
        self.assertNotEqual(lowercase	,      lowercase						)





     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        pass





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_			:List[Any]    			= self.rust_tokenizer_class.from_pretrained(lowercase	,      **lowercase						)
              lowercase_			:Dict    			= self.tokenizer_class.from_pretrained(lowercase	,      **lowercase						)
              lowercase_			:str    			= "A, <mask> AllenNLP sentence."
              lowercase_			:Tuple    			= tokenizer_r.encode_plus(lowercase	,      add_special_tokens=lowercase	,      return_token_type_ids=lowercase						)
              lowercase_			:str    			= tokenizer_p.encode_plus(lowercase	,      add_special_tokens=lowercase	,      return_token_type_ids=lowercase						)

              # token_type_ids should put 0 everywhere
              self.assertEqual(sum(tokens_r["token_type_ids"]						)	,      sum(tokens_p["token_type_ids"]						)						)

              # attention_mask should put 1 everywhere, so sum over length should be 1
              self.assertEqual(
                  sum(tokens_r["attention_mask"]						) / len(tokens_r["attention_mask"]						)	,      sum(tokens_p["attention_mask"]						) / len(tokens_p["attention_mask"]						)	,      )

              lowercase_			:Any    			= tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
              lowercase_			:Union[str, Any]    			= tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]						)

              # Rust correctly handles the space before the mask while python doesnt
              self.assertSequenceEqual(tokens_p["input_ids"]	,      [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)
              self.assertSequenceEqual(tokens_r["input_ids"]	,      [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)

              self.assertSequenceEqual(
                  lowercase	,      ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)
              self.assertSequenceEqual(
                  lowercase	,      ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        for trim_offsets, add_prefix_space in itertools.product([True, False]	,      repeat=2						):
           lowercase_			:List[Any]    			= self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)

           lowercase_			:int    			= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
           lowercase_			:Any    			= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()						)

           self.assertEqual(pre_tokenizer_state["add_prefix_space"]	,      lowercase						)

           self.assertEqual(post_processor_state["add_prefix_space"]	,      lowercase						)
           self.assertEqual(post_processor_state["trim_offsets"]	,      lowercase						)







     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_			:Tuple    			= "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
              lowercase_			:Optional[Any]    			= F'{text_of_1_token} {text_of_1_token}'

              lowercase_			:int    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[int]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						) + 1, len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Dict    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:List[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						) + 1, len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Any    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						), len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:List[str]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:List[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (len(lowercase						), len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Dict    			= F' {text}'

              # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
              #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
              # )
              # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
              # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
              # self.assertEqual(
              #     encoding.offset_mapping[1],
              #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
              # )

              lowercase_			:Optional[Any]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Optional[Any]    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (1, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						) + 1, 1 + len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Union[str, Any]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Dict    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						), 1 + len(lowercase						) + 1 + len(lowercase						))	,      )

              lowercase_			:Optional[int]    			= self.rust_tokenizer_class.from_pretrained(
                  lowercase	,      use_fast=lowercase	,      add_prefix_space=lowercase	,      trim_offsets=lowercase						)
              lowercase_			:Dict    			= tokenizer_r(lowercase	,      return_offsets_mapping=lowercase	,      add_special_tokens=lowercase						)
              self.assertEqual(encoding.offset_mapping[0]	,      (0, 1 + len(lowercase						))						)
              self.assertEqual(
                  encoding.offset_mapping[1]	,      (1 + len(lowercase						), 1 + len(lowercase						) + 1 + len(lowercase						))	,      )


