





'''simple docstring'''


import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer
def 							UpperCAmelCase_  (						__lowerCamelCase : List[Any]			):
   # 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_      :List[str]         =			ord(__lowerCamelCase			)
      if not _is_chinese_char(__lowerCamelCase			):
         return 0
   return 1
def 							UpperCAmelCase_  (						__lowerCamelCase : List[str]			):
   lowercase_      :Optional[Any]         =			set()

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

   for i in range(0     ,len(__lowerCamelCase			)     ,1_00			):
      lowercase_      :Tuple         =			ltp_tokenizer.pipeline(lines[i : i + 1_00]     ,tasks=["cws"]			).cws
      lowercase_      :Optional[int]         =			[get_chinese_word(__lowerCamelCase			) for r in res]
      ltp_res.extend(__lowerCamelCase			)
   assert len(__lowerCamelCase			) == len(__lowerCamelCase			)

   lowercase_      :Dict         =			[]
   for i in range(0     ,len(__lowerCamelCase			)     ,1_00			):
      lowercase_      :Optional[Any]         =			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_      :Optional[int]         =			[]
   for input_ids, chinese_word in zip(__lowerCamelCase     ,__lowerCamelCase			):
      lowercase_      :List[Any]         =			[]
      for id in input_ids:
         lowercase_      :Union[str, Any]         =			bert_tokenizer._convert_id_to_token(__lowerCamelCase			)
         input_tokens.append(__lowerCamelCase			)
      lowercase_      :Optional[int]         =			add_sub_symbol(__lowerCamelCase     ,__lowerCamelCase			)
      lowercase_      :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 : 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_      :Union[str, Any]         =			f.readlines()
   lowercase_      :List[str]         =			[line.strip() for line in data if len(__lowerCamelCase			) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
   lowercase_      :Dict         =			LTP(args.ltp			)  # faster in GPU device
   lowercase_      :int         =			BertTokenizer.from_pretrained(args.bert			)

   lowercase_      :Dict         =			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 :					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''',
 )

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









'''simple docstring'''


def 							UpperCAmelCase_  (						__lowerCamelCase : int | float | str			):
   try:
      lowercase_      :Optional[int]         =			float(__lowerCamelCase			)
   except ValueError:
      raise ValueError("Please enter a valid number"			)
   lowercase_      :Dict         =			decimal - int(__lowerCamelCase			)
   if fractional_part == 0:
      return int(__lowerCamelCase			), 1
   else:
      lowercase_      :Tuple         =			len(str(__lowerCamelCase			).split("."			)[1]			)
      lowercase_      :Optional[Any]         =			int(decimal * (10**number_of_frac_digits)			)
      lowercase_      :Dict         =			10**number_of_frac_digits
      lowercase_      ,							lowercase_      :Optional[int]         =			denominator, numerator
      while True:
         lowercase_      :Any         =			dividend % divisor
         if remainder == 0:
            break
         lowercase_      ,							lowercase_      :Optional[int]         =			divisor, remainder
      lowercase_      ,							lowercase_      :Optional[int]         =			numerator / divisor, denominator / divisor
      return int(__lowerCamelCase			), int(__lowerCamelCase			)


if __name__ == "__main__":
 print(F'''{decimal_to_fraction(2) = }''')
 print(F'''{decimal_to_fraction(89.0) = }''')
 print(F'''{decimal_to_fraction('67') = }''')
 print(F'''{decimal_to_fraction('45.0') = }''')
 print(F'''{decimal_to_fraction(1.5) = }''')
 print(F'''{decimal_to_fraction('6.25') = }''')
 print(F'''{decimal_to_fraction('78td') = }''')


